R/tracebw.R
In omega1x/pipenostics: Diagnostics, Reliability and Predictive Maintenance of Pipeline Systems
Defines functions
tracebw
Documented in
tracebw
#' @title
#' Massively trace backwards thermal-hydraulic regime for district
#' heating network
#'
#' @family Regime tracing
#'
#' @description
#' Trace values of thermal-hydraulic regime (temperature, pressure,
#' flow rate, and other) in the bunched pipeline against the flow direction using
#' user-provided values of \emph{specific heat loss power}.
#'
#' Algorithm also suits for partially measurable district heating network with
#' massive data lack conditions, when there are no temperature and pressure
#' sensor readings on the majority of terminal nodes.
#'
#' @details
#' They consider the topology of district heating network represented by
#' \code{\link{m325nxdata}}:
#'
#' \figure{m325tracebw0.png}
#'
#' The network may be partially sensor-equipped too:
#'
#' \figure{m325tracebwp.png}
#'
#' In latter case no more than two nodes must be equipped with pressure and temperature
#' sensors whereas for other nodes only flow rate sensors must be installed.
#'
#' Tracing starts from sensor-equipped nodes and goes backwards, i.e against
#' the flow direction.
#'
#' Though some input arguments are natively vectorized their individual values
#' all relate to common part of district heating network, i.e. associated with
#' common object. It is due to isomorphism between vector representation and
#' directed graph of this network. For more details of isomorphic topology
#' description see \code{\link{m325nxdata}}.
#'
#' Before tracing starts for the next node, previously calculated values of
#' thermal-hydraulic parameters are aggregated by either averaging or
#' by median. The latter seems more robust for avoiding strong influence of
#' possible outliers which may come from actual heating transfer anomalies,
#' erroneous sensor readings or wrong pipeline specifications.
#'
#' Aggregation for values of flow rate at the node is always \code{\link{sum}}.
#'
#' @param sender
#' identifier of the node which heat carrier flows out.
#' Type: any type that can be painlessly coerced to character by
#' \code{\link{as.character}}.
#'
#' @param acceptor
#' identifier of the node which heat carrier flows in. According to topology
#' of test bench considered this identifier should be unique for every row.
#' Type: any type that can be painlessly coerced to character by
#' \code{\link{as.character}}.
#'
#' @param temperature
#' Sensor-measured temperature of heat carrier (water) sensor-measured on
#' the terminal acceptor node, [\emph{°C}].
#' Use \code{NA_float_}s for (terminal) nodes without temperature sensor.
#' Type: \code{\link{assert_double}}.
#'
#' @param pressure
#' Sensor-measured
#' \href{https://en.wikipedia.org/wiki/Pressure_measurement#Absolute}{absolute pressure}
#' of heat carrier (water) inside the pipe (i.e. acceptor's incoming edge),
#' [\emph{MPa}].
# Use \code{NA_float_}s for (terminal) nodes without pressure sensor.
#' Type: \code{\link{assert_double}}.
#'
#' @param flow_rate
#' Sensor-measured amount of heat carrier (water) on terminal node that is
#' transferred by pipe (i.e. acceptor's incoming edge) during a period, [\emph{ton/hour}].
#' Type: \code{\link{assert_double}}.
#' Use \code{NA_float_}s for nodes without flow rate sensor.
#'
#' @param d
#' internal diameter of pipe (i.e.diameter of acceptor's incoming edge),
#' [\emph{mm}].
#' Type: \code{\link{assert_double}}.
#'
#' @param len
#' pipe length (i.e. length of acceptor's incoming edge), [\emph{m}].
#' Type: \code{\link{assert_double}}.
#'
#' @param loss
#' user-provided value of \emph{specific heat loss} power for each pipe,
#' [\emph{kcal/m/h}]. Values of the argument can be obtained experimentally,
#' or taken from regulatory documents.
#' Type: \code{\link{assert_double}}.
#'
#' @param roughness
#' roughness of internal wall of pipe (i.e. acceptor's incoming edge), [\emph{m}].
#' Type: \code{\link{assert_double}}.
#'
#' @param inlet
#' elevation of pipe inlet, [\emph{m}]. Type: \code{\link{assert_double}}.
#'
#' @param outlet
#' elevation of pipe outlet, [\emph{m}]. Type: \code{\link{assert_double}}.
#'
#' @param method
#' method of determining \emph{Darcy friction factor}:
#' \itemize{
#' \item \code{romeo}
#' \item \code{vatankhan}
#' \item \code{buzelli}
#' }
#' Type: \code{\link{assert_choice}}.
#' For more details see \code{\link{dropp}}.
#'
#' @param opinion
#' method for aggregating values of regime parameters on each node for the
#' next tracing step:
#' \describe{
#' \item{\code{mean}}{values of parameter are averaged before the next
#' tracing step}
#' \item{\code{median}}{median of parameter values are used for the next
#' tracing step}
#' }
#' Type: \code{\link{assert_choice}}.
#'
#' @param verbose
#' logical indicator: should they watch tracing process on console?
#' Type: \code{\link{assert_flag}}.
#'
#' @param csv
#' logical indicator: should they incrementally dump results to \emph{csv}-
#' file while tracing?
#' Type: \code{\link{assert_flag}}.
#'
#' @param file
#' name of \emph{csv}-file which they dump results to.
#' Type: \code{\link{assert_character}} of length 1 that can be used safely
#' to create a file and write to it.
#'
#' @return
#' \code{\link{data.frame}} containing results (detailed log) of tracing in
#' \href{https://en.wikipedia.org/wiki/Wide_and_narrow_data}{narrow format}:
#' \describe{
#' \item{\code{node}}{
#' \emph{Tracing job}. Identifier of the node which regime parameters is
#' calculated for. Values in this vector are identical to those in
#' argument \code{acceptor}.
#' Type: \code{\link{assert_character}}.
#' }
#'
#' \item{\code{tracing}}{
#' \emph{Tracing job}. Identifiers of nodes from which regime parameters
#' are traced for the given node. Identifier \code{sensor} is used when
#' values of regime parameters for the node are sensor readings.
#' Type: \code{\link{assert_character}}.
#' }
#'
#' \item{\code{backward}}{
#' \emph{Tracing job}. Identifier of tracing direction. It constantly
#' equals to \code{TRUE}.
#' Type: \code{\link{assert_logical}}.
#' }
#'
#' \item{\code{aggregation}}{
#' \emph{Tracing job}. Identifier of aggregation method: \emph{span}, \emph{median}, \emph{mean}, or \emph{identity}. Type: \code{\link{assert_character}}.
#' }
#' \item{\code{loss}}{
#' \emph{Traced thermal hydraulic regime}. Normative specific heat loss power of adjacent pipe, [\emph{kcal/m/h}]. Type: \code{\link{assert_double}}.
#' }
#' \item{\code{flux}}{
#' \emph{Traced thermal hydraulic regime}. Normative heat flux of adjacent pipe, [\emph{W/m^2}]. Type: \code{\link{assert_double}}.
#' }
#' \item{\code{Q}}{
#' \emph{Traced thermal hydraulic regime}. Normative heat loss of adjacent pipe per day, [\emph{kcal}].
#' Type: \code{\link{assert_character}}.
#' }
#'
#' \item{\code{temperature}}{
#' \emph{Traced thermal hydraulic regime}. Traced temperature of heat
#' carrier (water) that is associated with the node, [\emph{°C}].
#' Type: \code{\link{assert_double}}.
#' }
#'
#' \item{\code{pressure}}{
#' \emph{Traced thermal hydraulic regime}. Traced pressure of heat
#' carrier (water) that is associated with the node, [\emph{MPa}].
#' Type: \code{\link{assert_double}}.
#' }
#'
#' \item{\code{flow_rate}}{
#' \emph{Traced thermal hydraulic regime}. Traced flow rate of heat
#' carrier (water) that is associated with the node, [\emph{ton/hour}].
#' Type: \code{\link{assert_double}}.
#' }
#'
#' \item{\code{job}}{
#' \emph{Tracing job}. Value of tracing job counter.
#' Type: \code{\link{assert_count}}.
#' }
#' }
#' Type: \code{\link{assert_data_frame}}.
#'
#' @examples
#' library(pipenostics)
#'
#' # It is possible to run without specification of argument values:
#' m325tracebw()
#'
#' # Consider isomorphic representation of District Heating Network graph:
#' DHN <- pipenostics::m325nxdata
#'
#' # * Adapt units:
#' DHN$d <- 1e3*DHN$d # convert [m] to [mm]
#'
#' # * Adapt node identifiers for ordering representation simplification:
#' DHN[["sender"]] <- sprintf("N%02i", DHN[["sender"]])
#' DHN[["acceptor"]] <- sprintf("N%02i", DHN[["acceptor"]])
#'
#' # * Provided actual values of specific heat loss power (say, field measurements) for each
#' # pipe in DHN, [kcal/m/h]:
#' actual_loss <- c(
#' # acceptor:
#' 96.236, # 1
#' 96.288, # 2
#' 70.584, # 3
#' 116.045, # 4
#' 70.734, # 5
#' 96.211, # 6
#' 78.400, # 7
#' 116.016, # 8
#' 28.115, # 9
#' 24.918, # 10
#' 116.679, # 11
#' 0.000, # 12, may be unmeasured!
#' 153.134, # 13
#' 96.733, # 14
#' 96.600, # 15
#' 116.667, # 16
#' 24.960, # 17
#' 115.923, # 18
#' 28.166, # 19
#' 96.123, # 20
#' 77.824, # 21
#' 115.946, # 22
#' 70.690, # 23
#' 96.184, # 24
#' 96.236, # 25
#' 70.540 # 26
#' )
#'
#' # * Remove inappropriate attributes of the graph:
#' DHN.1 <- DHN[, setdiff(colnames(DHN), c("year", "insulation", "laying", "beta", "exp5k"))]
#'
#' # * Trace thermal-hydraulic regime for DHN:
#' tracebw_report <- do.call("tracebw", c(as.list(DHN.1), list(loss = actual_loss)))
#'
#' # * If the actual values of specific heat loss power presented above are close
#' # to those in Minenergo-325, then the results of regime tracing match the
#' # normative procedure:
#' m325_report <- do.call("m325tracebw", DHN)
#'
#' stopifnot(
#' all.equal(tracebw_report$temperature, m325_report$temperature, tolerance = 1e-4),
#' all.equal(tracebw_report$pressure , m325_report$pressure , tolerance = 1e-4),
#' all.equal(tracebw_report$flow_rate , m325_report$flow_rate , tolerance = 1e-4)
#' )
#'
#' @export
tracebw <- function(sender = 6,
acceptor = 7,
temperature = 70.0,
pressure = pipenostics::mpa_kgf(6),
flow_rate = 20,
d = 100,
len = 72.446,
loss = 78.4,
roughness = 1e-3,
inlet = .5,
outlet = 1.0,
method = "romeo",
opinion = "median",
verbose = TRUE,
csv = FALSE,
file = "tracebw.csv") {
# Trace thermal-hydraulic regime ----
.func_name <- "tracebw"
# Meters in 1 millimeter
METER <- 1e-3 # [m/mm]
# Hours in 1 day
DAY <- 24 # [h]
# Validate function input ----
checkmate::assert_true(all(!is.na(acceptor)))
acceptor <- as.character(acceptor)
checkmate::assert_true(!any(duplicated(acceptor))) # only single income edge!
n <- length(acceptor)
sender <- as.character(sender)
checkmate::assert_character(sender, any.missing = FALSE, len = n)
checkmate::assert_double(
temperature,
lower = 0,
upper = 350,
finite = TRUE,
any.missing = TRUE,
len = n
)
checkmate::assert_double(
pressure,
lower = 8.4e-2,
upper = 100,
finite = TRUE,
any.missing = TRUE,
len = n
)
checkmate::assert_double(
flow_rate,
lower = 1e-3,
upper = 1e5,
finite = TRUE,
any.missing = TRUE,
len = n
)
norms <- pipenostics::m325nhldata # use brief name
checkmate::assert_double(
d,
lower = min(norms[["diameter"]]),
upper = max(norms[["diameter"]]),
finite = TRUE,
any.missing = FALSE,
len = n
)
rm(norms)
checkmate::assert_double(
len,
lower = 0,
finite = TRUE,
any.missing = FALSE,
len = n
)
checkmate::assert_double(
loss,
lower = 0,
upper = 1500,
any.missing = FALSE,
len = n
)
checkmate::assert_double(
roughness,
lower = 0,
upper = .2,
any.missing = FALSE,
len = n
)
checkmate::assert_double(
outlet,
lower = 0,
finite = TRUE,
any.missing = FALSE,
len = n
)
checkmate::assert_double(
inlet,
lower = 0,
finite = TRUE,
any.missing = FALSE,
len = n
)
checkmate::assert_choice(method, c("romeo", "vatankhan", "buzelli"))
checkmate::assert_flag(verbose)
checkmate::assert_choice(opinion, c("median", "mean"))
checkmate::assert_flag(csv)
if (csv) {
checkmate::assert_character(
basename(file),
pattern = "^[[:alnum:]_\\.\\-]+$",
any.missing = FALSE,
len = 1L
) # check for validness of file name!
checkmate::assert_path_for_output(file)
}
# Validate method aspects ----
is_terminal_node <- !(acceptor %in% sender)
checkmate::assert_double(
temperature[is_terminal_node],
any.missing = TRUE,
all.missing = FALSE,
min.len = 1L
)
checkmate::assert_double(
pressure[is_terminal_node],
any.missing = TRUE,
all.missing = FALSE,
min.len = 1L
)
checkmate::assert_double(flow_rate[is_terminal_node], any.missing = FALSE, min.len = 1L)
# only paired values of temperature and pressure
checkmate::assert_true(all(is.na(temperature) == is.na(pressure)))
# Conf: list of aggregation functions ----
agg_func <- list(
span = function(x) {
y <- stats::na.omit(x)
if (length(y) > 0L)
max(y) - min(y)
else
NA_real_
},
median = function(x)
stats::median(x, na.rm = TRUE),
mean = function(x) {
y <- stats::na.omit(x)
if (length(y) > 0L)
mean(y)
else
NA_real_
}
)
# Calculate additional regime parameters:
is_temperature_sensored <- !is.na(temperature)
flux <- Q <- rep.int(NA_real_, length(temperature))
## Heat flux, [W/m^2]
flux[is_temperature_sensored] <- pipenostics::flux_loss(
x = loss[is_temperature_sensored],
d = d[is_temperature_sensored] * METER ,
wth = pipenostics::wth_d(d[is_temperature_sensored])
)
## Heat loss per day, [kcal]
Q[is_temperature_sensored] <- loss[is_temperature_sensored] * len[is_temperature_sensored] * DAY
# Start backward tracing ----
time_stamp_posixct <- Sys.time()
node_state <- with(list(), {
v <- table(c(sender, acceptor)) - 1L
v[!(names(v) %in% acceptor)] <- -1L
# Conventional values:
# <0 - already processed,
# 0 - should be processed,
# >0 - not yet processed, number of not processed successors
v
})
if (verbose)
cat(
sprintf(
"\n%s %s | start backward tracing; segments %i;",
time_stamp_posixct,
.func_name,
n
)
)
rm(n)
job_num <- 0L
# Set up job log columns ----
job_log <- data.frame(
node = acceptor,
tracing = "sensor",
backward = TRUE,
aggregation = "identity",
loss,
flux,
Q,
temperature,
pressure,
flow_rate,
job = job_num
)[is_terminal_node, ]
rm(is_terminal_node)
if (csv)
cat(paste(colnames(job_log), collapse = ","), "\n", file = file)
# Start up job while-cycle ----
while (any(node_state == 0L)) {
if (verbose)
cat(sprintf(
"\n%s %s | start job; job %i;",
time_stamp_posixct,
.func_name,
job_num
))
is_node_ready <- node_state == 0L
ready_nodes <-
names(is_node_ready)[is_node_ready] # acceptor names
if (verbose)
cat(
sprintf(
"\n%s %s | now process; %i node(s); [%s]",
time_stamp_posixct,
.func_name,
length(ready_nodes),
paste(ready_nodes, collapse = ",")
)
)
# Make up job aggregations ----
agg_log <- lapply(structure(names(agg_func), names = names(agg_func)),
function(func_name, log_df) {
tracing <-
tapply(log_df[["tracing"]], log_df[["node"]], "paste", collapse = "|")
data.frame(
node = names(tracing),
tracing = tracing,
backward = TRUE,
aggregation = func_name,
loss = tapply(log_df[["loss"]], log_df[["node"]], agg_func[[func_name]]),
flux = tapply(log_df[["flux"]], log_df[["node"]], agg_func[[func_name]]),
Q = tapply(log_df[["Q"]], log_df[["node"]], agg_func[[func_name]]),
temperature = tapply(log_df[["temperature"]], log_df[["node"]], agg_func[[func_name]]),
pressure = tapply(log_df[["pressure"]], log_df[["node"]], agg_func[[func_name]]),
flow_rate = tapply(log_df[["flow_rate"]], log_df[["node"]], sum),
job = job_num
)
} ,
log_df = job_log[job_log[["node"]] %in% ready_nodes &
job_log[["aggregation"]] == "identity", ])
job_log <- rbind(job_log, do.call("rbind", agg_log))
# Dump log to file ----
if (csv)
utils::write.table(
job_log[job_log[["job"]] == job_num, ],
file = file,
append = TRUE,
quote = FALSE,
sep = ",",
col.names = FALSE,
row.names = FALSE
)
# Calculate ThHy-regime ----
is_processed_pipe <- which(acceptor %in% ready_nodes)
regime <-
job_log[job_log[["job"]] == job_num &
job_log[["aggregation"]] == opinion, ]
checkmate::assert_true(all(acceptor[is_processed_pipe] %in% regime[["node"]]) &&
all(regime[["node"]] %in% acceptor[is_processed_pipe]))
regime_index <-
match(acceptor[is_processed_pipe], regime[["node"]])
is_tp_sensored <- !is.na(regime[["temperature"]][regime_index])
# *is_tp_sensored* also valid for pressure since paired NAs has been checked
if (verbose)
cat(
sprintf(
"\n%s %s | seen tracing; [%i/%i] are TP-sensor-equipped;",
time_stamp_posixct,
.func_name,
sum(is_tp_sensored),
length(is_tp_sensored)
)
)
# * specific heat loss power tracing ----
if (verbose)
cat(sprintf("\n%s %s | tracing loss;;", time_stamp_posixct, .func_name))
this_sender_loss <- rep.int(NA_real_, length(regime_index))
if (any(is_tp_sensored)) {
this_sender_loss[is_tp_sensored] <- loss[is_processed_pipe][is_tp_sensored]
if (verbose)
cat(
sprintf(
"\n%s %s | OK! Specific heat loss power traced from %i nodes;[%s];",
time_stamp_posixct,
.func_name,
sum(is_tp_sensored),
paste(regime[["node"]][regime_index][is_tp_sensored], collapse = ",")
)
)
} else {
if (verbose)
cat(
sprintf(
"\n%s %s | SKIP! Specific heat loss power could not be traced from nodes [%s];; ",
time_stamp_posixct,
.func_name,
paste(regime[["node"]][regime_index][!is_tp_sensored], collapse = ",")
)
)
}
# * heat flux tracing ----
if (verbose)
cat(sprintf("\n%s %s | tracing heat flux;;", time_stamp_posixct, .func_name))
this_sender_flux <- rep.int(NA_real_, length(regime_index))
if (any(is_tp_sensored)) {
this_sender_flux[is_tp_sensored] <- pipenostics::flux_loss(
x = this_sender_loss[is_tp_sensored],
d = d[is_processed_pipe][is_tp_sensored] * METER,
wth = pipenostics::wth_d(d[is_processed_pipe][is_tp_sensored])
)
if (verbose)
cat(
sprintf(
"\n%s %s | OK! Heat flux traced from %i nodes;[%s];",
time_stamp_posixct,
.func_name,
sum(is_tp_sensored),
paste(regime[["node"]][regime_index][is_tp_sensored], collapse = ",")
)
)
} else {
if (verbose)
cat(
sprintf(
"\n%s %s | SKIP! Heat flux could not be traced from nodes [%s];; ",
time_stamp_posixct,
.func_name,
paste(regime[["node"]][regime_index][!is_tp_sensored], collapse = ",")
)
)
}
# * Heat loss per day tracing ----
if (verbose)
cat(sprintf("\n%s %s | tracing heat loss per day;;", time_stamp_posixct, .func_name))
this_sender_Q <- rep.int(NA_real_, length(regime_index))
if (any(is_tp_sensored)) {
this_sender_Q[is_tp_sensored] <- loss[is_processed_pipe][is_tp_sensored] * len[is_processed_pipe][is_tp_sensored] * DAY
if (verbose)
cat(
sprintf(
"\n%s %s | OK! Heat loss per day traced from %i nodes;[%s];",
time_stamp_posixct,
.func_name,
sum(is_tp_sensored),
paste(regime[["node"]][regime_index][is_tp_sensored], collapse = ",")
)
)
} else {
if (verbose)
cat(
sprintf(
"\n%s %s | SKIP! Heat loss per day could not be traced from nodes [%s];; ",
time_stamp_posixct,
.func_name,
paste(regime[["node"]][regime_index][!is_tp_sensored], collapse = ",")
)
)
}
# * Temperature drop ----
if (verbose)
cat(sprintf(
"\n%s %s | tracing temperature;;",
time_stamp_posixct,
.func_name
))
this_sender_temperature <- rep.int(NA_real_, length(regime_index))
if (any(is_tp_sensored)) {
this_sender_temperature[is_tp_sensored] <-
regime[["temperature"]][regime_index][is_tp_sensored] +
pipenostics::dropt(
regime[["temperature"]][regime_index][is_tp_sensored],
regime[["pressure"]][regime_index][is_tp_sensored],
regime[["flow_rate"]][regime_index][is_tp_sensored],
this_sender_Q[is_tp_sensored]/DAY
)
if (verbose)
cat(
sprintf(
"\n%s %s | OK! Temperature traced from %i nodes;[%s];",
time_stamp_posixct,
.func_name,
sum(is_tp_sensored),
paste(regime[["node"]][regime_index][is_tp_sensored], collapse = ",")
)
)
} else {
if (verbose)
cat(
sprintf(
"\n%s %s | SKIP! Temperature could not be traced from nodes [%s];; ",
time_stamp_posixct,
.func_name,
paste(regime[["node"]][regime_index][!is_tp_sensored], collapse = ",")
)
)
}
# * Pressure drop ----
if (verbose)
cat(sprintf(
"\n%s %s | tracing pressure;;",
time_stamp_posixct,
.func_name
))
this_sender_pressure <- rep.int(NA_real_, length(regime_index))
if (any(is_tp_sensored)) {
this_sender_pressure[is_tp_sensored] <-
regime[["pressure"]][regime_index][is_tp_sensored] + pipenostics::dropp(
regime[["temperature"]][regime_index][is_tp_sensored],
regime[["pressure"]][regime_index][is_tp_sensored],
regime[["flow_rate"]][regime_index][is_tp_sensored],
d[is_processed_pipe][is_tp_sensored] * METER,
len[is_processed_pipe][is_tp_sensored],
roughness[is_processed_pipe][is_tp_sensored],
inlet[is_processed_pipe][is_tp_sensored],
outlet[is_processed_pipe][is_tp_sensored],
method
)
cat(
if (verbose)
sprintf(
"\n%s %s | OK! Pressure traced from %i nodes;[%s];",
time_stamp_posixct,
.func_name,
sum(is_tp_sensored),
paste(regime[["node"]][regime_index][is_tp_sensored], collapse = ",")
)
)
} else {
if (verbose)
cat(
sprintf(
"\n%s %s | SKIP! Pressure could not be traced from nodes [%s];; ",
time_stamp_posixct,
.func_name,
paste(regime[["node"]][regime_index][!is_tp_sensored], collapse = ",")
)
)
}
# * flow_rate loss ----
if (verbose)
cat(sprintf(
"\n%s %s | tracing flow_rate;;",
time_stamp_posixct,
.func_name
))
this_sender_flow_rate <-
regime[["flow_rate"]][regime_index] + 0
rm(regime_index, regime)
# Log ThHy-regime ----
job_log <- rbind(
job_log,
data.frame(
node = sender[is_processed_pipe],
tracing = acceptor[is_processed_pipe],
backward = TRUE,
aggregation = "identity",
loss = this_sender_loss,
flux = this_sender_flux,
Q = this_sender_Q,
temperature = this_sender_temperature,
pressure = this_sender_pressure,
flow_rate = this_sender_flow_rate,
# All above data is for the next job:
job = job_num + 1L
)
)
rm(
this_sender_loss,
this_sender_flux,
this_sender_Q,
this_sender_temperature,
this_sender_pressure,
this_sender_flow_rate,
is_processed_pipe
)
# Recalculate node state ----
node_state[is_node_ready] <- node_state[is_node_ready] - 1L
n <- table(sender[acceptor %in% ready_nodes])
node_state[names(n)] <- node_state[names(n)] - n
rm(ready_nodes, n)
if (verbose)
cat(
sprintf(
"\n%s %s | finish job; job %i; processed node(s) %i",
time_stamp_posixct,
.func_name,
job_num,
sum(is_node_ready)
)
)
job_num <- job_num + 1L
} # end while
rm(is_node_ready)
# Log last cycle data ----
if (csv)
utils::write.table(
job_log[job_log[["job"]] == job_num &
job_log[["node"]] %in% acceptor, ],
file = file,
append = TRUE,
quote = FALSE,
sep = ",",
col.names = FALSE,
row.names = FALSE
)
if (verbose)
cat(sprintf(
"\n%s %s | finish backward tracing;;\n",
time_stamp_posixct,
.func_name
))
# Finish backward tracing ----
job_log[job_log[["job"]] != job_num,]
}
omega1x/pipenostics documentation built on May 13, 2024, 4:14 a.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Defines functions tracebw
Documented in tracebw
#' @title
#' Massively trace backwards thermal-hydraulic regime for district
#' heating network
#'
#' @family Regime tracing
#'
#' @description
#' Trace values of thermal-hydraulic regime (temperature, pressure,
#' flow rate, and other) in the bunched pipeline against the flow direction using
#' user-provided values of \emph{specific heat loss power}.
#'
#' Algorithm also suits for partially measurable district heating network with
#' massive data lack conditions, when there are no temperature and pressure
#' sensor readings on the majority of terminal nodes.
#'
#' @details
#' They consider the topology of district heating network represented by
#' \code{\link{m325nxdata}}:
#'
#' \figure{m325tracebw0.png}
#'
#' The network may be partially sensor-equipped too:
#'
#' \figure{m325tracebwp.png}
#'
#' In latter case no more than two nodes must be equipped with pressure and temperature
#' sensors whereas for other nodes only flow rate sensors must be installed.
#'
#' Tracing starts from sensor-equipped nodes and goes backwards, i.e against
#' the flow direction.
#'
#' Though some input arguments are natively vectorized their individual values
#' all relate to common part of district heating network, i.e. associated with
#' common object. It is due to isomorphism between vector representation and
#' directed graph of this network. For more details of isomorphic topology
#' description see \code{\link{m325nxdata}}.
#'
#' Before tracing starts for the next node, previously calculated values of
#' thermal-hydraulic parameters are aggregated by either averaging or
#' by median. The latter seems more robust for avoiding strong influence of
#' possible outliers which may come from actual heating transfer anomalies,
#' erroneous sensor readings or wrong pipeline specifications.
#'
#' Aggregation for values of flow rate at the node is always \code{\link{sum}}.
#'
#' @param sender
#' identifier of the node which heat carrier flows out.
#' Type: any type that can be painlessly coerced to character by
#' \code{\link{as.character}}.
#'
#' @param acceptor
#' identifier of the node which heat carrier flows in. According to topology
#' of test bench considered this identifier should be unique for every row.
#' Type: any type that can be painlessly coerced to character by
#' \code{\link{as.character}}.
#'
#' @param temperature
#' Sensor-measured temperature of heat carrier (water) sensor-measured on
#' the terminal acceptor node, [\emph{°C}].
#' Use \code{NA_float_}s for (terminal) nodes without temperature sensor.
#' Type: \code{\link{assert_double}}.
#'
#' @param pressure
#' Sensor-measured
#' \href{https://en.wikipedia.org/wiki/Pressure_measurement#Absolute}{absolute pressure}
#' of heat carrier (water) inside the pipe (i.e. acceptor's incoming edge),
#' [\emph{MPa}].
# Use \code{NA_float_}s for (terminal) nodes without pressure sensor.
#' Type: \code{\link{assert_double}}.
#'
#' @param flow_rate
#' Sensor-measured amount of heat carrier (water) on terminal node that is
#' transferred by pipe (i.e. acceptor's incoming edge) during a period, [\emph{ton/hour}].
#' Type: \code{\link{assert_double}}.
#' Use \code{NA_float_}s for nodes without flow rate sensor.
#'
#' @param d
#' internal diameter of pipe (i.e.diameter of acceptor's incoming edge),
#' [\emph{mm}].
#' Type: \code{\link{assert_double}}.
#'
#' @param len
#' pipe length (i.e. length of acceptor's incoming edge), [\emph{m}].
#' Type: \code{\link{assert_double}}.
#'
#' @param loss
#' user-provided value of \emph{specific heat loss} power for each pipe,
#' [\emph{kcal/m/h}]. Values of the argument can be obtained experimentally,
#' or taken from regulatory documents.
#' Type: \code{\link{assert_double}}.
#'
#' @param roughness
#' roughness of internal wall of pipe (i.e. acceptor's incoming edge), [\emph{m}].
#' Type: \code{\link{assert_double}}.
#'
#' @param inlet
#' elevation of pipe inlet, [\emph{m}]. Type: \code{\link{assert_double}}.
#'
#' @param outlet
#' elevation of pipe outlet, [\emph{m}]. Type: \code{\link{assert_double}}.
#'
#' @param method
#' method of determining \emph{Darcy friction factor}:
#' \itemize{
#' \item \code{romeo}
#' \item \code{vatankhan}
#' \item \code{buzelli}
#' }
#' Type: \code{\link{assert_choice}}.
#' For more details see \code{\link{dropp}}.
#'
#' @param opinion
#' method for aggregating values of regime parameters on each node for the
#' next tracing step:
#' \describe{
#' \item{\code{mean}}{values of parameter are averaged before the next
#' tracing step}
#' \item{\code{median}}{median of parameter values are used for the next
#' tracing step}
#' }
#' Type: \code{\link{assert_choice}}.
#'
#' @param verbose
#' logical indicator: should they watch tracing process on console?
#' Type: \code{\link{assert_flag}}.
#'
#' @param csv
#' logical indicator: should they incrementally dump results to \emph{csv}-
#' file while tracing?
#' Type: \code{\link{assert_flag}}.
#'
#' @param file
#' name of \emph{csv}-file which they dump results to.
#' Type: \code{\link{assert_character}} of length 1 that can be used safely
#' to create a file and write to it.
#'
#' @return
#' \code{\link{data.frame}} containing results (detailed log) of tracing in
#' \href{https://en.wikipedia.org/wiki/Wide_and_narrow_data}{narrow format}:
#' \describe{
#' \item{\code{node}}{
#' \emph{Tracing job}. Identifier of the node which regime parameters is
#' calculated for. Values in this vector are identical to those in
#' argument \code{acceptor}.
#' Type: \code{\link{assert_character}}.
#' }
#'
#' \item{\code{tracing}}{
#' \emph{Tracing job}. Identifiers of nodes from which regime parameters
#' are traced for the given node. Identifier \code{sensor} is used when
#' values of regime parameters for the node are sensor readings.
#' Type: \code{\link{assert_character}}.
#' }
#'
#' \item{\code{backward}}{
#' \emph{Tracing job}. Identifier of tracing direction. It constantly
#' equals to \code{TRUE}.
#' Type: \code{\link{assert_logical}}.
#' }
#'
#' \item{\code{aggregation}}{
#' \emph{Tracing job}. Identifier of aggregation method: \emph{span}, \emph{median}, \emph{mean}, or \emph{identity}. Type: \code{\link{assert_character}}.
#' }
#' \item{\code{loss}}{
#' \emph{Traced thermal hydraulic regime}. Normative specific heat loss power of adjacent pipe, [\emph{kcal/m/h}]. Type: \code{\link{assert_double}}.
#' }
#' \item{\code{flux}}{
#' \emph{Traced thermal hydraulic regime}. Normative heat flux of adjacent pipe, [\emph{W/m^2}]. Type: \code{\link{assert_double}}.
#' }
#' \item{\code{Q}}{
#' \emph{Traced thermal hydraulic regime}. Normative heat loss of adjacent pipe per day, [\emph{kcal}].
#' Type: \code{\link{assert_character}}.
#' }
#'
#' \item{\code{temperature}}{
#' \emph{Traced thermal hydraulic regime}. Traced temperature of heat
#' carrier (water) that is associated with the node, [\emph{°C}].
#' Type: \code{\link{assert_double}}.
#' }
#'
#' \item{\code{pressure}}{
#' \emph{Traced thermal hydraulic regime}. Traced pressure of heat
#' carrier (water) that is associated with the node, [\emph{MPa}].
#' Type: \code{\link{assert_double}}.
#' }
#'
#' \item{\code{flow_rate}}{
#' \emph{Traced thermal hydraulic regime}. Traced flow rate of heat
#' carrier (water) that is associated with the node, [\emph{ton/hour}].
#' Type: \code{\link{assert_double}}.
#' }
#'
#' \item{\code{job}}{
#' \emph{Tracing job}. Value of tracing job counter.
#' Type: \code{\link{assert_count}}.
#' }
#' }
#' Type: \code{\link{assert_data_frame}}.
#'
#' @examples
#' library(pipenostics)
#'
#' # It is possible to run without specification of argument values:
#' m325tracebw()
#'
#' # Consider isomorphic representation of District Heating Network graph:
#' DHN <- pipenostics::m325nxdata
#'
#' # * Adapt units:
#' DHN$d <- 1e3*DHN$d # convert [m] to [mm]
#'
#' # * Adapt node identifiers for ordering representation simplification:
#' DHN[["sender"]] <- sprintf("N%02i", DHN[["sender"]])
#' DHN[["acceptor"]] <- sprintf("N%02i", DHN[["acceptor"]])
#'
#' # * Provided actual values of specific heat loss power (say, field measurements) for each
#' # pipe in DHN, [kcal/m/h]:
#' actual_loss <- c(
#' # acceptor:
#' 96.236, # 1
#' 96.288, # 2
#' 70.584, # 3
#' 116.045, # 4
#' 70.734, # 5
#' 96.211, # 6
#' 78.400, # 7
#' 116.016, # 8
#' 28.115, # 9
#' 24.918, # 10
#' 116.679, # 11
#' 0.000, # 12, may be unmeasured!
#' 153.134, # 13
#' 96.733, # 14
#' 96.600, # 15
#' 116.667, # 16
#' 24.960, # 17
#' 115.923, # 18
#' 28.166, # 19
#' 96.123, # 20
#' 77.824, # 21
#' 115.946, # 22
#' 70.690, # 23
#' 96.184, # 24
#' 96.236, # 25
#' 70.540 # 26
#' )
#'
#' # * Remove inappropriate attributes of the graph:
#' DHN.1 <- DHN[, setdiff(colnames(DHN), c("year", "insulation", "laying", "beta", "exp5k"))]
#'
#' # * Trace thermal-hydraulic regime for DHN:
#' tracebw_report <- do.call("tracebw", c(as.list(DHN.1), list(loss = actual_loss)))
#'
#' # * If the actual values of specific heat loss power presented above are close
#' # to those in Minenergo-325, then the results of regime tracing match the
#' # normative procedure:
#' m325_report <- do.call("m325tracebw", DHN)
#'
#' stopifnot(
#' all.equal(tracebw_report$temperature, m325_report$temperature, tolerance = 1e-4),
#' all.equal(tracebw_report$pressure , m325_report$pressure , tolerance = 1e-4),
#' all.equal(tracebw_report$flow_rate , m325_report$flow_rate , tolerance = 1e-4)
#' )
#'
#' @export
tracebw <- function(sender = 6,
acceptor = 7,
temperature = 70.0,
pressure = pipenostics::mpa_kgf(6),
flow_rate = 20,
d = 100,
len = 72.446,
loss = 78.4,
roughness = 1e-3,
inlet = .5,
outlet = 1.0,
method = "romeo",
opinion = "median",
verbose = TRUE,
csv = FALSE,
file = "tracebw.csv") {
# Trace thermal-hydraulic regime ----
.func_name <- "tracebw"
# Meters in 1 millimeter
METER <- 1e-3 # [m/mm]
# Hours in 1 day
DAY <- 24 # [h]
# Validate function input ----
checkmate::assert_true(all(!is.na(acceptor)))
acceptor <- as.character(acceptor)
checkmate::assert_true(!any(duplicated(acceptor))) # only single income edge!
n <- length(acceptor)
sender <- as.character(sender)
checkmate::assert_character(sender, any.missing = FALSE, len = n)
checkmate::assert_double(
temperature,
lower = 0,
upper = 350,
finite = TRUE,
any.missing = TRUE,
len = n
)
checkmate::assert_double(
pressure,
lower = 8.4e-2,
upper = 100,
finite = TRUE,
any.missing = TRUE,
len = n
)
checkmate::assert_double(
flow_rate,
lower = 1e-3,
upper = 1e5,
finite = TRUE,
any.missing = TRUE,
len = n
)
norms <- pipenostics::m325nhldata # use brief name
checkmate::assert_double(
d,
lower = min(norms[["diameter"]]),
upper = max(norms[["diameter"]]),
finite = TRUE,
any.missing = FALSE,
len = n
)
rm(norms)
checkmate::assert_double(
len,
lower = 0,
finite = TRUE,
any.missing = FALSE,
len = n
)
checkmate::assert_double(
loss,
lower = 0,
upper = 1500,
any.missing = FALSE,
len = n
)
checkmate::assert_double(
roughness,
lower = 0,
upper = .2,
any.missing = FALSE,
len = n
)
checkmate::assert_double(
outlet,
lower = 0,
finite = TRUE,
any.missing = FALSE,
len = n
)
checkmate::assert_double(
inlet,
lower = 0,
finite = TRUE,
any.missing = FALSE,
len = n
)
checkmate::assert_choice(method, c("romeo", "vatankhan", "buzelli"))
checkmate::assert_flag(verbose)
checkmate::assert_choice(opinion, c("median", "mean"))
checkmate::assert_flag(csv)
if (csv) {
checkmate::assert_character(
basename(file),
pattern = "^[[:alnum:]_\\.\\-]+$",
any.missing = FALSE,
len = 1L
) # check for validness of file name!
checkmate::assert_path_for_output(file)
}
# Validate method aspects ----
is_terminal_node <- !(acceptor %in% sender)
checkmate::assert_double(
temperature[is_terminal_node],
any.missing = TRUE,
all.missing = FALSE,
min.len = 1L
)
checkmate::assert_double(
pressure[is_terminal_node],
any.missing = TRUE,
all.missing = FALSE,
min.len = 1L
)
checkmate::assert_double(flow_rate[is_terminal_node], any.missing = FALSE, min.len = 1L)
# only paired values of temperature and pressure
checkmate::assert_true(all(is.na(temperature) == is.na(pressure)))
# Conf: list of aggregation functions ----
agg_func <- list(
span = function(x) {
y <- stats::na.omit(x)
if (length(y) > 0L)
max(y) - min(y)
else
NA_real_
},
median = function(x)
stats::median(x, na.rm = TRUE),
mean = function(x) {
y <- stats::na.omit(x)
if (length(y) > 0L)
mean(y)
else
NA_real_
}
)
# Calculate additional regime parameters:
is_temperature_sensored <- !is.na(temperature)
flux <- Q <- rep.int(NA_real_, length(temperature))
## Heat flux, [W/m^2]
flux[is_temperature_sensored] <- pipenostics::flux_loss(
x = loss[is_temperature_sensored],
d = d[is_temperature_sensored] * METER ,
wth = pipenostics::wth_d(d[is_temperature_sensored])
)
## Heat loss per day, [kcal]
Q[is_temperature_sensored] <- loss[is_temperature_sensored] * len[is_temperature_sensored] * DAY
# Start backward tracing ----
time_stamp_posixct <- Sys.time()
node_state <- with(list(), {
v <- table(c(sender, acceptor)) - 1L
v[!(names(v) %in% acceptor)] <- -1L
# Conventional values:
# <0 - already processed,
# 0 - should be processed,
# >0 - not yet processed, number of not processed successors
v
})
if (verbose)
cat(
sprintf(
"\n%s %s | start backward tracing; segments %i;",
time_stamp_posixct,
.func_name,
n
)
)
rm(n)
job_num <- 0L
# Set up job log columns ----
job_log <- data.frame(
node = acceptor,
tracing = "sensor",
backward = TRUE,
aggregation = "identity",
loss,
flux,
Q,
temperature,
pressure,
flow_rate,
job = job_num
)[is_terminal_node, ]
rm(is_terminal_node)
if (csv)
cat(paste(colnames(job_log), collapse = ","), "\n", file = file)
# Start up job while-cycle ----
while (any(node_state == 0L)) {
if (verbose)
cat(sprintf(
"\n%s %s | start job; job %i;",
time_stamp_posixct,
.func_name,
job_num
))
is_node_ready <- node_state == 0L
ready_nodes <-
names(is_node_ready)[is_node_ready] # acceptor names
if (verbose)
cat(
sprintf(
"\n%s %s | now process; %i node(s); [%s]",
time_stamp_posixct,
.func_name,
length(ready_nodes),
paste(ready_nodes, collapse = ",")
)
)
# Make up job aggregations ----
agg_log <- lapply(structure(names(agg_func), names = names(agg_func)),
function(func_name, log_df) {
tracing <-
tapply(log_df[["tracing"]], log_df[["node"]], "paste", collapse = "|")
data.frame(
node = names(tracing),
tracing = tracing,
backward = TRUE,
aggregation = func_name,
loss = tapply(log_df[["loss"]], log_df[["node"]], agg_func[[func_name]]),
flux = tapply(log_df[["flux"]], log_df[["node"]], agg_func[[func_name]]),
Q = tapply(log_df[["Q"]], log_df[["node"]], agg_func[[func_name]]),
temperature = tapply(log_df[["temperature"]], log_df[["node"]], agg_func[[func_name]]),
pressure = tapply(log_df[["pressure"]], log_df[["node"]], agg_func[[func_name]]),
flow_rate = tapply(log_df[["flow_rate"]], log_df[["node"]], sum),
job = job_num
)
} ,
log_df = job_log[job_log[["node"]] %in% ready_nodes &
job_log[["aggregation"]] == "identity", ])
job_log <- rbind(job_log, do.call("rbind", agg_log))
# Dump log to file ----
if (csv)
utils::write.table(
job_log[job_log[["job"]] == job_num, ],
file = file,
append = TRUE,
quote = FALSE,
sep = ",",
col.names = FALSE,
row.names = FALSE
)
# Calculate ThHy-regime ----
is_processed_pipe <- which(acceptor %in% ready_nodes)
regime <-
job_log[job_log[["job"]] == job_num &
job_log[["aggregation"]] == opinion, ]
checkmate::assert_true(all(acceptor[is_processed_pipe] %in% regime[["node"]]) &&
all(regime[["node"]] %in% acceptor[is_processed_pipe]))
regime_index <-
match(acceptor[is_processed_pipe], regime[["node"]])
is_tp_sensored <- !is.na(regime[["temperature"]][regime_index])
# *is_tp_sensored* also valid for pressure since paired NAs has been checked
if (verbose)
cat(
sprintf(
"\n%s %s | seen tracing; [%i/%i] are TP-sensor-equipped;",
time_stamp_posixct,
.func_name,
sum(is_tp_sensored),
length(is_tp_sensored)
)
)
# * specific heat loss power tracing ----
if (verbose)
cat(sprintf("\n%s %s | tracing loss;;", time_stamp_posixct, .func_name))
this_sender_loss <- rep.int(NA_real_, length(regime_index))
if (any(is_tp_sensored)) {
this_sender_loss[is_tp_sensored] <- loss[is_processed_pipe][is_tp_sensored]
if (verbose)
cat(
sprintf(
"\n%s %s | OK! Specific heat loss power traced from %i nodes;[%s];",
time_stamp_posixct,
.func_name,
sum(is_tp_sensored),
paste(regime[["node"]][regime_index][is_tp_sensored], collapse = ",")
)
)
} else {
if (verbose)
cat(
sprintf(
"\n%s %s | SKIP! Specific heat loss power could not be traced from nodes [%s];; ",
time_stamp_posixct,
.func_name,
paste(regime[["node"]][regime_index][!is_tp_sensored], collapse = ",")
)
)
}
# * heat flux tracing ----
if (verbose)
cat(sprintf("\n%s %s | tracing heat flux;;", time_stamp_posixct, .func_name))
this_sender_flux <- rep.int(NA_real_, length(regime_index))
if (any(is_tp_sensored)) {
this_sender_flux[is_tp_sensored] <- pipenostics::flux_loss(
x = this_sender_loss[is_tp_sensored],
d = d[is_processed_pipe][is_tp_sensored] * METER,
wth = pipenostics::wth_d(d[is_processed_pipe][is_tp_sensored])
)
if (verbose)
cat(
sprintf(
"\n%s %s | OK! Heat flux traced from %i nodes;[%s];",
time_stamp_posixct,
.func_name,
sum(is_tp_sensored),
paste(regime[["node"]][regime_index][is_tp_sensored], collapse = ",")
)
)
} else {
if (verbose)
cat(
sprintf(
"\n%s %s | SKIP! Heat flux could not be traced from nodes [%s];; ",
time_stamp_posixct,
.func_name,
paste(regime[["node"]][regime_index][!is_tp_sensored], collapse = ",")
)
)
}
# * Heat loss per day tracing ----
if (verbose)
cat(sprintf("\n%s %s | tracing heat loss per day;;", time_stamp_posixct, .func_name))
this_sender_Q <- rep.int(NA_real_, length(regime_index))
if (any(is_tp_sensored)) {
this_sender_Q[is_tp_sensored] <- loss[is_processed_pipe][is_tp_sensored] * len[is_processed_pipe][is_tp_sensored] * DAY
if (verbose)
cat(
sprintf(
"\n%s %s | OK! Heat loss per day traced from %i nodes;[%s];",
time_stamp_posixct,
.func_name,
sum(is_tp_sensored),
paste(regime[["node"]][regime_index][is_tp_sensored], collapse = ",")
)
)
} else {
if (verbose)
cat(
sprintf(
"\n%s %s | SKIP! Heat loss per day could not be traced from nodes [%s];; ",
time_stamp_posixct,
.func_name,
paste(regime[["node"]][regime_index][!is_tp_sensored], collapse = ",")
)
)
}
# * Temperature drop ----
if (verbose)
cat(sprintf(
"\n%s %s | tracing temperature;;",
time_stamp_posixct,
.func_name
))
this_sender_temperature <- rep.int(NA_real_, length(regime_index))
if (any(is_tp_sensored)) {
this_sender_temperature[is_tp_sensored] <-
regime[["temperature"]][regime_index][is_tp_sensored] +
pipenostics::dropt(
regime[["temperature"]][regime_index][is_tp_sensored],
regime[["pressure"]][regime_index][is_tp_sensored],
regime[["flow_rate"]][regime_index][is_tp_sensored],
this_sender_Q[is_tp_sensored]/DAY
)
if (verbose)
cat(
sprintf(
"\n%s %s | OK! Temperature traced from %i nodes;[%s];",
time_stamp_posixct,
.func_name,
sum(is_tp_sensored),
paste(regime[["node"]][regime_index][is_tp_sensored], collapse = ",")
)
)
} else {
if (verbose)
cat(
sprintf(
"\n%s %s | SKIP! Temperature could not be traced from nodes [%s];; ",
time_stamp_posixct,
.func_name,
paste(regime[["node"]][regime_index][!is_tp_sensored], collapse = ",")
)
)
}
# * Pressure drop ----
if (verbose)
cat(sprintf(
"\n%s %s | tracing pressure;;",
time_stamp_posixct,
.func_name
))
this_sender_pressure <- rep.int(NA_real_, length(regime_index))
if (any(is_tp_sensored)) {
this_sender_pressure[is_tp_sensored] <-
regime[["pressure"]][regime_index][is_tp_sensored] + pipenostics::dropp(
regime[["temperature"]][regime_index][is_tp_sensored],
regime[["pressure"]][regime_index][is_tp_sensored],
regime[["flow_rate"]][regime_index][is_tp_sensored],
d[is_processed_pipe][is_tp_sensored] * METER,
len[is_processed_pipe][is_tp_sensored],
roughness[is_processed_pipe][is_tp_sensored],
inlet[is_processed_pipe][is_tp_sensored],
outlet[is_processed_pipe][is_tp_sensored],
method
)
cat(
if (verbose)
sprintf(
"\n%s %s | OK! Pressure traced from %i nodes;[%s];",
time_stamp_posixct,
.func_name,
sum(is_tp_sensored),
paste(regime[["node"]][regime_index][is_tp_sensored], collapse = ",")
)
)
} else {
if (verbose)
cat(
sprintf(
"\n%s %s | SKIP! Pressure could not be traced from nodes [%s];; ",
time_stamp_posixct,
.func_name,
paste(regime[["node"]][regime_index][!is_tp_sensored], collapse = ",")
)
)
}
# * flow_rate loss ----
if (verbose)
cat(sprintf(
"\n%s %s | tracing flow_rate;;",
time_stamp_posixct,
.func_name
))
this_sender_flow_rate <-
regime[["flow_rate"]][regime_index] + 0
rm(regime_index, regime)
# Log ThHy-regime ----
job_log <- rbind(
job_log,
data.frame(
node = sender[is_processed_pipe],
tracing = acceptor[is_processed_pipe],
backward = TRUE,
aggregation = "identity",
loss = this_sender_loss,
flux = this_sender_flux,
Q = this_sender_Q,
temperature = this_sender_temperature,
pressure = this_sender_pressure,
flow_rate = this_sender_flow_rate,
# All above data is for the next job:
job = job_num + 1L
)
)
rm(
this_sender_loss,
this_sender_flux,
this_sender_Q,
this_sender_temperature,
this_sender_pressure,
this_sender_flow_rate,
is_processed_pipe
)
# Recalculate node state ----
node_state[is_node_ready] <- node_state[is_node_ready] - 1L
n <- table(sender[acceptor %in% ready_nodes])
node_state[names(n)] <- node_state[names(n)] - n
rm(ready_nodes, n)
if (verbose)
cat(
sprintf(
"\n%s %s | finish job; job %i; processed node(s) %i",
time_stamp_posixct,
.func_name,
job_num,
sum(is_node_ready)
)
)
job_num <- job_num + 1L
} # end while
rm(is_node_ready)
# Log last cycle data ----
if (csv)
utils::write.table(
job_log[job_log[["job"]] == job_num &
job_log[["node"]] %in% acceptor, ],
file = file,
append = TRUE,
quote = FALSE,
sep = ",",
col.names = FALSE,
row.names = FALSE
)
if (verbose)
cat(sprintf(
"\n%s %s | finish backward tracing;;\n",
time_stamp_posixct,
.func_name
))
# Finish backward tracing ----
job_log[job_log[["job"]] != job_num,]
}
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.