CN117495611B - Multi-channel piping heat transfer balance control supervision system based on internet of things data processing - Google Patents

Multi-channel piping heat transfer balance control supervision system based on internet of things data processing Download PDF

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CN117495611B
CN117495611B CN202410004033.7A CN202410004033A CN117495611B CN 117495611 B CN117495611 B CN 117495611B CN 202410004033 A CN202410004033 A CN 202410004033A CN 117495611 B CN117495611 B CN 117495611B
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source water
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CN117495611A (en
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冯树林
邓冠龙
徐明铭
王福才
张平
侯典立
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Ludong University
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Abstract

The invention relates to a multi-channel piping heat transfer balance control supervision system based on internet of things data processing; the system comprises a multi-channel pipe system supervision and control technology field, a multi-channel pipe system built-in heat source water parameter acquisition unit, a primary pipe network operation parameter acquisition unit, a secondary pipe network operation parameter acquisition unit, a multi-channel pipe system heat transportation safety evaluation unit, a split-flow management control unit and an internet of things cloud database. The multi-channel piping heat transfer balance control supervision system based on the internet of things data processing can complete comprehensive parameter information monitoring of internal heat source water aiming at a primary pipe network and a secondary pipe network, and meanwhile, the primary pipe network operation safety and the secondary pipe network operation safety in the operation process can be effectively analyzed and evaluated, so that the comprehensive evaluation of the safety of the multi-channel piping in the whole heating system is achieved, the operation stability of the system is effectively supervised, and abnormal positions are timely early warned.

Description

Multi-channel piping heat transfer balance control supervision system based on internet of things data processing
Technical Field
The invention relates to the technical field of multi-channel piping supervision and control, in particular to a multi-channel piping heat transfer balance control supervision system based on internet of things data processing.
Background
The multi-channel pipe system is mainly a pipeline conveying system composed of multi-channel combined pipes, and is commonly used for conveying media such as steam, fluid and the like with thermal energy. In recent years, the use of multi-pass piping to transport thermal energy has been widely used.
When the multi-channel piping system carries out heat transfer of a heat fluid, energy loss of heat transfer usually occurs along with change of transfer mileage, so that balance of energy and safety of heat transfer of the piping is usually realized by improving quality and structure of the piping and monitoring the state of heat transfer of the piping and internal heat fluid in the prior art.
For example, patent documents with patent grant publication numbers CN213393931 and IPC classification number F16L9/14 disclose a multilayer prefabricated insulating pipe with low thermal conductivity, and the purpose of reducing energy loss is achieved mainly by improving the thermal conductivity of the insulating pipe as can be seen from the insulating pipe structure.
In addition, a system and a method for controlling and managing heat supply of a pipeline are disclosed in patent document with a patent grant publication number of CN109214481A, IPC and a classification number of G06Q10/00, and the management system can be seen that the patent realizes wireless network supervision on a heat-insulated user by utilizing a mobile phone terminal, and ensures the whole process and trace management of service.
According to the prior art, the purpose of managing and controlling the whole heat conveying system is achieved mainly through pipeline structure improvement and conveying end node management and control in the conventional multi-path pipe system heat conveying process. However, there are certain disadvantages to this improvement in the prior art: firstly, the improvement of the pipeline material is only suitable for the construction application of a new multi-channel pipeline system, but in actual work, an old pipeline system is a target which is more required to be regulated and controlled, the potential safety hazard is larger, and the aim of solving is not practical if the new pipeline is replaced completely; secondly, the safety hidden trouble in the whole conveying process can not be monitored only by monitoring the starting end and the tail end aiming at the old piping system, the capability of heat conveying balance supervision and safety supervision is limited, and the heat conveying balance supervision and safety supervision has larger unilateral property.
Disclosure of Invention
The invention aims to solve one of the technical problems, and adopts the following technical scheme: multichannel piping heat transfer balance control supervisory systems based on thing allies oneself with data processing includes: the multi-channel pipe system is internally provided with a heat source water parameter acquisition unit which is used for acquiring related parameters of heat source water in the internal conveying state of the target multi-channel pipe system.
The primary pipe network operation parameter acquisition unit is used for acquiring the operation parameters of the primary pipe network in the multi-path pipe system.
And the diode network operation parameter acquisition unit is used for acquiring the operation parameters of the diode network of the multi-path pipe system in the heat supply pipe system.
The multi-channel pipe system heat conveying safety evaluation unit is used for analyzing and processing the related parameter information acquired by the multi-channel pipe system built-in heat source water parameter acquisition unit, the primary pipe network operation parameter acquisition unit and the secondary pipe network operation parameter acquisition unit, and performing evaluation analysis on the safe operation of the target multi-channel pipe system in the whole heat supply system to obtain a conclusion.
The shunt control unit is used for receiving the processing results of the multi-channel pipe system heat conveying safety evaluation unit, the multi-channel pipe system built-in heat source water parameter acquisition unit, the primary pipe network operation parameter acquisition unit and the secondary pipe network operation parameter acquisition unit, acquiring the target abnormal point position and then issuing a shunt control instruction.
The internet of things cloud database is used for storing all threshold parameters and all design parameter information related to the target multichannel management system and extracting all units from the cloud.
In any of the above aspects, it is preferable that the parameters related to the heat source water in the internal conveyance state of the target multichannel piping in the multichannel piping built-in heat source water parameter obtaining unit include: the conductivity of heat source water in the pipeline, the temperature of heat source water entering the pipeline at the starting end of the multi-channel pipeline system, the temperature of heat source water exiting the pipeline at the tail end of the multi-channel pipeline system, the effective length of an underground embedded pipeline and the effective length of an overhead pipeline in the whole multi-channel pipeline system.
In any of the above schemes, preferably, the specific working process of the multi-path pipe system built-in heat source water parameter obtaining unit is as follows: acquiring conductivity of heat source water inside a pipeline at each stage in a flowing stateWherein->Indicating the current +.>Number of individual conductivities.
Using the formulaObtaining the water quality change coefficient in the pipeline of the multi-channel pipeline system.
Acquiring heat source water temperature of each pipe at sampling position in pipe at starting end of target multi-channel pipe systemWherein->Indicate->And numbering the water temperature of the heat source of each inlet pipe.
Obtaining the outlet pipe heat source water temperature at each in-pipe sampling position at the end of the pipe system of the target multichannel pipe systemWherein->Indicate->And numbering the water temperature of the heat source of each outlet pipe.
By analysis of formulasObtaining the loss deviation degree of the hydrothermal transmission temperature of the heat source, wherein +.>Is the heat conductivity coefficient of the pipeline heat insulation material +.>Is the average outer diameter of the pipeline>Is the average inner diameter of the pipeline>Is the theoretical value of heat preservation loss of the pipeline>Is of circumference rate>For the effective length of all overhead lines on the ground in the multichannel piping system, < >>The effective length of all underground embedded pipelines in the multichannel piping system is the effective length of all underground embedded pipelines; />Wherein->Is the effective pipeline length in the multi-channel pipeline system, < > >,/>The average temperature difference value of the inlet heat source water temperature and the outlet heat source water temperature; />,/>Respectively representing the weight ratio of the above-ground overhead pipeline factors in unit length and the underground embedded pipeline factors in unit length, < ->Is a natural constant.
When the heat source is in hydro-thermal delivery temperature loss deviation degreeWhen the temperature is smaller than the set threshold value, the current heat source hydrothermal conveying heat preservation lossMeets the requirements; otherwise, when the current heat source hydrothermal transportation heat preservation loss has excessive loss, an abnormal early warning signal is sent.
In any of the above schemes, preferably, the working process of the primary pipe network operation parameter obtaining unit is as follows: obtaining the scale volume at each scale sampling point inside each section of pipeline in the primary pipeline network from the external scanning structure image information, and recording asWherein->Indicate->Numbering of scale volume at each sampling location.
Simultaneously acquiring the number of cracks at each crack sampling point in each section of pipeline in the primary pipe networkNumber of rust points ++>Wherein->Indicate->Number of cracks->First->Number of rust spots.
By analysis of formulasObtaining the pipeline damage coefficient of the current section, wherein ∈>,/>,/>Respectively representing the weight ratio corresponding to the scale volume factor, the crack quantity factor and the rust number factor;
Scale volume at any position inside the pipeline of the corresponding sectionNumber of cracks->Number of rust points->When the conditions exceeding the respective corresponding threshold values occur, early warning signals are sent out, and the abnormal positions in the pipeline of the current section are positioned and marked.
Obtaining average flow velocity of heat source water in pipeline of corresponding section in unit time period
By analysis of formulasObtaining the pipeline water impact pressure overload rate of the current section>
Wherein,for the water impact coefficient inside the pipeline, +.>For the density of the heat source aqueous medium, < > is->Is the water hammer pressure threshold.
Obtaining the number of turning joints of the pipeline of the current section
By analysis of formulasObtaining the safe conveying coefficient of the single-section pipeline>
Wherein,,/>,/>the weight coefficients of the pipeline damage coefficient factor, the pipeline water hammer pressure overload rate factor and the single Duan Guanlu safe conveying coefficient factor are respectively.
By analysis of formulasObtaining the safe conveying coefficient of the first-level pipe network pipeline>The method comprises the steps of carrying out a first treatment on the surface of the Wherein (1)>For the number of pipeline sections in the primary pipe network, < > for>Is a theoretical correction coefficient.
According to the safe conveying coefficient of the pipeline of the primary pipe networkJudging the safety state of the current primary pipe network pipeline in the conveying process, and when the safety conveying coefficient of the primary pipe network pipeline is +.>When the potential safety hazard exists in the current primary pipe network pipeline in the conveying process and an abnormal early warning signal is sent out when the potential safety hazard exists in the current primary pipe network pipeline in the conveying process; otherwise, the current primary pipe network pipeline is in a safe running state.
In any of the above schemes, preferably, the specific working process of the operation parameter obtaining unit of the diode network is as follows: acquiring the flow velocity of heat source water in the flange connection part between adjacent pipelines in the diode network, performing multipoint sampling along the circumferential direction of each flange connection part, and recording the flow velocity of the sampling point in unit time at the current sampling point asWherein->The number of sampling points in the same flange connection part is +.>Numbering the current flange connection part, and +.>
Calculating the current heat source water flow velocity change rate in the same flange connection part
Obtaining the vibration amplitude of each nut washer at the flange connection part between each two adjacent pipelines in the diode network, and recording asWherein->Is the number of the nut washer at the same flange connection part, and +.>,/>Numbering the current flange connection part, and +.>
By analysis of formulasObtaining the abnormal risk coefficient of the flange connection of the current same flange connection part>
If the current rate of change of the flow rate of the heat source water in the flange connection partIs greater than or equal to the corresponding set threshold value and the abnormal risk coefficient of flange connection of the current same flange connection part >And if the current flange connection position is larger than or equal to the corresponding set threshold value, the current flange connection position has serious leakage risk, and an abnormal early warning signal is sent out.
If the current rate of change of the flow rate of the heat source water in the flange connection partA flange connection abnormality risk coefficient of the same flange connection part at present, which is smaller than the corresponding set threshold value>If the leakage risk is larger than the corresponding set threshold value, the middle leakage risk exists at the current flange connection part, and an abnormal early warning signal is sent out.
If the current rate of change of the flow rate of the heat source water in the flange connection partIs greater than or equal to the corresponding set threshold value and the abnormal risk coefficient of flange connection of the current same flange connection part>If the leakage risk is smaller than the corresponding set threshold value, the middle leakage risk exists at the current flange connection part, and an abnormal early warning signal is sent out.
If the current rate of change of the flow rate of the heat source water in the flange connection partA flange connection abnormality risk coefficient of the same flange connection part at present, which is smaller than the corresponding set threshold value>And the current flange connection part is in a safe running state or in a low leakage risk state if the current flange connection part is smaller than the corresponding set threshold value.
In any of the above schemes, preferably, the specific working process of the multi-path piping heat transfer safety assessment unit comprises: obtaining the loss deviation degree of the heat source hydro-thermal conveying temperature Safe conveying coefficient of primary pipe network pipeline>The flow rate change of the heat source water in the current flange connection part>Flange connection abnormality risk coefficient>
When the heat source is in hydro-thermal delivery temperature loss deviation degreeSafe conveying coefficient of primary pipe network pipeline>The flow rate change of the heat source water in the current flange connection part>Flange connection abnormality risk coefficient>All within the normal range of values by the analytical formula +.>Obtaining a multi-channel piping heat transfer safety evaluation coefficient +.>
Wherein,,/>,/>,/>the weight ratio of the heat source water flow rate change rate factor in the current flange connection part and the heat source water flow rate change rate in the current flange connection part are respectively represented by the heat source water heat transfer temperature loss deviation factor, the heat source water heat transfer temperature loss deviation factor.
Heat transfer safety evaluation coefficient for multi-path piping systemAnd the security evaluation coefficient set value->Comparison, when->≥/>And if not, the current multi-path pipe system heat conveying state is in an unstable operation state.
And when the current multi-channel pipe system heat conveying state is in an unstable running state, an abnormal early warning signal is sent out.
In any of the above schemes, preferably, the specific working process of the shunt control unit is as follows: and acquiring a processing result of the heat transmission safety evaluation unit of the receiving multichannel tube system, and a processing result of the built-in heat source water parameter acquisition unit, the primary tube network operation parameter acquisition unit and the secondary tube network operation parameter acquisition unit of the multichannel tube system.
When the current multi-channel pipe system heat conveying state is in an unstable running state, sending a full-pipe system overhaul maintenance signal to each overhaul workstation corresponding to the full-pipe system positions of the primary pipe network and the secondary pipe network of the heat supply system.
And the overhauling staff of each overhauling work station overhauls the pipeline section to which the overhauling staff belongs and reports the overhauling result.
And acquiring processing results of the built-in heat source water parameter acquisition unit, the primary pipe network operation parameter acquisition unit and the secondary pipe network operation parameter acquisition unit of the multichannel pipe system, locking the corresponding abnormal point position coordinates according to the received abnormal early warning signals, and searching an overhaul workstation to which the current abnormal point position coordinates correspond.
And notifying maintenance personnel in the maintenance work station to which the current abnormal point position coordinate corresponds to go to the corresponding abnormal point position coordinate to finish maintenance of the corresponding pipeline.
And after the maintenance work corresponding to the primary pipe network and the secondary pipe network is completed, re-operating the built-in heat source water parameter acquisition unit, the primary pipe network operation parameter acquisition unit and the secondary pipe network operation parameter acquisition unit of the multichannel pipe system, and acquiring the processing results of the units until the units have no abnormal early warning signals.
And recalculating the processing result of the multi-path piping heat conveying safety evaluation unit until no abnormal early warning signal exists, otherwise repeating the steps.
In any of the above schemes, preferably, after the overhaul of the pipeline in the area is completed by each overhaul workstation, the overhaul pipeline part is marked, the filling record of the related information is carried out on the marked part, and meanwhile, the marked information is photographed and uploaded to the internet of things cloud database for storage; the marking information of the corresponding pipeline position is used for being referred to by subsequent field maintenance personnel so as to be convenient for knowing the historical maintenance record of the current pipeline position.
In any of the above schemes, it is preferable that the corrosion-resistant label is fixed at the corresponding maintenance pipeline part, and the grade definition is completed by using the color of the corrosion-resistant label during the marking, wherein the red corrosion-resistant label represents the historical maintenance part, the yellow corrosion-resistant label represents the moderate hidden trouble maintenance, and the green corrosion-resistant label represents the historical maintenance part.
Compared with the prior art, the invention has the following beneficial effects:
1. the multi-channel piping heat transfer balance control supervision system based on the internet of things data processing can complete comprehensive parameter information monitoring of internal heat source water aiming at a primary pipe network and a secondary pipe network, and meanwhile, the primary pipe network operation safety and the secondary pipe network operation safety in the operation process can be effectively analyzed and evaluated, so that the comprehensive evaluation of the safety of the multi-channel piping in the whole heating system is achieved, the operation stability of the system is effectively supervised, and abnormal positions are timely early warned.
2. According to the invention, the comprehensive parameters of scale, cracks and corrosion are obtained and analyzed at the pipeline part of the primary pipe network at high temperature and high pressure, the calculation and analysis of the safety and the cracking risk of the pipeline are realized, the supervision and analysis of the condition that the primary pipe network is easy to crack are effectively completed, and meanwhile, the comprehensive evaluation of the water quality condition and the water temperature heat conveying condition of the pipeline operation is realized by monitoring the water quality conductivity of heat source water in the pipeline by multiple parameters.
3. In consideration of the fact that the diode network has low pressure and low temperature relative to the primary pipe network, potential safety hazards of the pipeline are low, sensitive points of flange connection parts are subjected to water flow velocity analysis on the pipelines which are arranged in a scattered mode, risks of the pipeline connection parts are effectively and timely early-warned through heat source water flow velocity change rate and vibration conditions of nut gaskets, early warning analysis is carried out on multiple sampling points through a single flange connection part during analysis, and comprehensive leakage risk early warning of multiple flange connection parts in the whole diode network can be comprehensively analyzed.
4. When abnormal early warning signals appear in each unit, the shunt control unit can send maintenance signals to each maintenance workstation, and after maintenance is completed at each pipeline maintenance position, corresponding anti-corrosion labels are arranged to realize marks, so that reference is effectively provided for personnel for next maintenance, and useless workload in subsequent maintenance is reduced.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are used in the embodiments will be briefly described below. Like elements or features are generally identified by like reference numerals throughout the drawings. In the drawings, the elements or components are not necessarily drawn to scale.
Fig. 1 is a circuit connection diagram of each unit of the present invention.
Fig. 2 is a diagram showing the connection of the shunt control unit to the multi-path piping and each maintenance work station according to the present invention.
Detailed Description
Embodiments of the technical scheme of the present invention will be described in detail below with reference to the accompanying drawings. The following examples are only for more clearly illustrating the technical aspects of the present invention, and thus are merely examples, and are not intended to limit the scope of the present invention.
Referring to fig. 1-2, the invention provides a multi-channel piping heat transfer balance control supervision system based on internet of things data processing, which is used for comprehensively realizing supervision and balance control on a target multi-channel piping heat transfer state in a heating system, wherein the multi-channel piping heat transfer balance control supervision system based on internet of things data processing comprises a multi-channel piping built-in heat source water parameter acquisition unit, a primary pipe network operation parameter acquisition unit, a diode network operation parameter acquisition unit, a multi-channel piping heat transfer safety evaluation unit, a shunt management unit and an internet of things cloud database; the multi-channel pipe system built-in heat source water parameter acquisition unit, the primary pipe network operation parameter acquisition unit, the secondary pipe network operation parameter acquisition unit, the multi-channel pipe system heat conveying safety evaluation unit and the shunt management control unit are respectively connected with the Internet of things cloud database through signals.
The multi-channel pipe system is internally provided with a heat source water parameter acquisition unit which is used for acquiring related hot water parameters of heat source water in the internal conveying state of the target multi-channel pipe system.
The primary pipe network operation parameter acquisition unit is used for acquiring the operation parameters of the primary pipe network in the multi-path pipe system.
And the diode network operation parameter acquisition unit is used for acquiring the operation parameters of the diode network of the multi-path pipe system in the heat supply pipe system.
The multi-channel pipe system heat conveying safety evaluation unit is used for analyzing and processing the related parameter information acquired by the multi-channel pipe system built-in heat source water parameter acquisition unit, the primary pipe network operation parameter acquisition unit and the secondary pipe network operation parameter acquisition unit, and performing evaluation analysis on the safe operation of the target multi-channel pipe system in the target heat supply system to obtain a conclusion.
The shunt control unit is used for receiving the processing results of the multi-channel pipe system heat conveying safety evaluation unit, the multi-channel pipe system built-in heat source water parameter acquisition unit, the primary pipe network operation parameter acquisition unit and the secondary pipe network operation parameter acquisition unit, acquiring the target abnormal point position and then issuing a shunt control instruction.
The internet of things cloud database is used for storing all threshold parameters and all design parameter information related to the target multichannel management system and extracting all units from the cloud.
In any of the above aspects, it is preferable that the parameters related to the heat source water in the internal conveyance state of the target multichannel piping in the multichannel piping built-in heat source water parameter obtaining unit include: the conductivity of heat source water in the pipeline, the temperature of heat source water entering the pipeline at the starting end of the multi-channel pipeline system, the temperature of heat source water exiting the pipeline at the tail end of the multi-channel pipeline system, the effective length of an underground embedded pipeline and the effective length of an overhead pipeline in the whole multi-channel pipeline system.
Before parameter acquisition, pre-installing corresponding sensor elements and configuring corresponding solar cells for pipeline sampling points according to conventional means, wherein during construction, matching installation is completed by conventional installers in the field; the design parameters related to the original multi-path pipe system are stored in the Internet of things cloud database in advance, so that the follow-up extraction and use at any time are facilitated.
In any of the above schemes, preferably, the specific working process of the multi-path pipe system built-in heat source water parameter obtaining unit is as follows:
acquiring conductivity of heat source water inside a pipeline at each stage in a flowing stateWherein->Indicating the current firstA number of individual conductivities;
Using the formulaObtaining a water quality change coefficient in a pipeline of the multi-channel pipeline system;
it should be noted that, the water quality change coefficient can reflect the current resistance change condition of the heat source water in the pipeline by obtaining the change of the conductivity, and reflect the quality condition of the water quality at the same time, when the conductivity of the heat source water in the pipeline is along with that of the heat source water in the pipelineThe water quality is continuously deteriorated when the water quality is increased, which indicates that the internal impurities are increased, thereby reflecting the corresponding pipelines of the current multi-channel pipeline systemThe filtering system has hidden trouble, rust impurities and scale impurities affect the water quality, so that the health state of the pipeline can be effectively reacted.
Acquiring heat source water temperature of each pipe at sampling position in pipe at starting end of target multi-channel pipe systemWherein->Indicate->Numbering the temperature of the heat source water entering the pipe;
obtaining the outlet pipe heat source water temperature at each in-pipe sampling position at the end of the pipe system of the target multichannel pipe systemWherein->Indicate->Numbering the water temperature of the heat source of each outlet pipe;
by analysis of formulasObtaining the loss deviation degree of the hydrothermal transmission temperature of the heat source, wherein +.>Is the heat conductivity coefficient of the pipeline heat insulation material +.>Is the average outer diameter of the pipeline>Is the average inner diameter of the pipeline>Is the theoretical value of heat preservation loss of the pipeline >Is of circumference rate>For the effective length of all overhead lines on the ground in the multichannel piping system, < >>The effective length of all underground embedded pipelines in the multichannel piping system is the effective length of all underground embedded pipelines; />Wherein->Is the effective pipeline length in the multi-channel pipeline system, < >>,/>The average temperature difference value of the inlet heat source water temperature and the outlet heat source water temperature; />,/>Respectively representing the weight ratio of the above-ground overhead pipeline factors in unit length and the underground embedded pipeline factors in unit length, < ->Is a natural constant.
When the heat source is in hydro-thermal delivery temperature loss deviation degreeWhen the water temperature is smaller than the set threshold value, the current heat source hydrothermal conveying heat preservation loss meets the requirement; otherwise, when the current heat source hydrothermal transportation heat preservation loss has excessive loss, an abnormal early warning signal is sent.
In the actual operation process of the hot water source in the relation pipeline, the conventional coefficients are obtained by acquiring the design parameter information of the pipeline in advance, meanwhile, the proper weight ratio is selected according to the common sense of industry in consideration of the difference of the influence weights of the underground embedded pipeline and the overhead pipeline, the current heat source hydrothermal conveying temperature loss deviation degree can be obtained after the heat preservation loss calculation formula and the pipeline heat preservation loss theoretical value obtained through conventional calculation or theory are compared, so that the problem that whether the heat source hydrothermal conveying temperature loss deviation degree of the current pipeline has excessive deviation in the operation process is accurately reflected, whether the operation state of the current pipeline reaches the standard is rapidly reflected, and judgment can be rapidly obtained according to the calculation result.
In any of the above schemes, preferably, the working process of the primary pipe network operation parameter obtaining unit is as follows:
obtaining the scale volume at each scale sampling point inside each section of pipeline in the primary pipeline network from the external scanning structure image information, and recording asWherein->Indicate->Numbering of scale volume at each sampling location.
Simultaneously acquiring the number of cracks at each crack sampling point in each section of pipeline in the primary pipe networkNumber of rust points ++>Wherein->Indicate->Braiding of number of cracksNumber (1)/(2)>First->Number of rust spots.
By analysis of formulasObtaining the pipeline damage coefficient of the current section, wherein ∈>,/>,/>Respectively representing the weight ratio corresponding to the scale volume factor, the crack quantity factor and the rust number factor;
scale volume at any position inside the pipeline of the corresponding sectionNumber of cracks->Number of rust points->When the conditions exceeding the respective corresponding threshold values occur, early warning signals are sent out, and the abnormal positions in the pipeline of the current section are positioned and marked.
It should be noted that, the operation characteristics of high temperature and high pressure exist in the primary pipe network, the water temperature can reach more than 70 degrees, scale is more easily separated out relative to low temperature water in the temperature state, serious damage is caused to the pipeline after scale erosion and cavitation increase, so the risk of pipeline breakage caused by the uncertain hidden danger brought by scale factors can be effectively avoided for scale monitoring, in addition, supervision statistics and analysis are carried out on the number of visual cracks and rust points in the pipeline while the scale is monitored, the comprehensive scale factors realize multi-factor acquisition and comprehensive judgment of the safety of the high-pressure pipeline, and timely early warning of the damaged and broken hidden danger of the pipeline is effectively ensured.
Obtaining average flow velocity of heat source water in pipeline of corresponding section in unit time period
By analysis of formulasObtaining the pipeline water impact pressure overload rate of the current section>
Wherein,for the water impact coefficient inside the pipeline, +.>For the density of the heat source aqueous medium, < > is->Is the water hammer pressure threshold.
Obtaining the number of turning joints of the pipeline of the current section
By analysis of formulasObtaining the safe conveying coefficient of the single-section pipeline>
Wherein,,/>,/>the weight coefficients of the pipeline damage coefficient factor, the pipeline water hammer pressure overload rate factor and the single Duan Guanlu safe conveying coefficient factor are respectively.
On the premise of analyzing and monitoring the damage coefficient of the pipeline, the factors such as water loss or water burst caused by unstable operation of the pipeline and the damage of the water burst phenomenon to the pipeline are considered, the number of the bent pipes is increased, the damage coefficient factor of the pipeline, the water burst pressure overload rate factor of the pipeline and the single Duan Guanlu safe conveying coefficient factor are analyzed in a multi-parameter manner, the quality of the current safe operation state of the pipeline of the primary pipeline can be effectively obtained, meanwhile, the mode of independent calculation and comprehensive analysis of the multiple factors can play the role of abnormal early warning when the single factor exceeds a threshold value, and meanwhile, the safe operation state of the pipeline of the whole primary pipeline can be monitored through the analysis of the multiple factors, so that the monitoring sensitivity is effectively improved.
By analysis of formulasObtaining the safe conveying coefficient of the first-level pipe network pipeline>The method comprises the steps of carrying out a first treatment on the surface of the Wherein,for the number of pipeline sections in the primary pipe network, < > for>Is a theoretical correction coefficient.
According to the safe conveying coefficient of the pipeline of the primary pipe networkJudging the safety state of the current primary pipe network pipeline in the conveying process, and when the safety conveying coefficient of the primary pipe network pipeline is +.>Greater than the set pairWhen the threshold value is needed, potential safety hazards exist in the conveying process of the current primary pipe network pipeline, and an abnormal early warning signal is sent out; otherwise, the current primary pipe network pipeline is in a safe running state.
The theoretical correction coefficient and the corresponding threshold value of the setting of the first-level pipe network pipeline safety conveying coefficient are selected by a person skilled in the art according to the material, the size, the operation rated water pressure and other values of the pipeline, so that errors in the calculation process are improved, the relative accuracy of the calculated values is improved, and the detailed description is omitted.
In any of the above schemes, preferably, the specific working process of the operation parameter obtaining unit of the diode network is as follows:
acquiring the flow velocity of heat source water in the flange connection part between adjacent pipelines in the diode network, performing multipoint sampling along the circumferential direction of each flange connection part, and recording the flow velocity of the sampling point in unit time at the current sampling point as Wherein->Is the number of the sampling point inside the same flange connection part, and,/>numbering the current flange connection part, and +.>
Calculating the current heat source water flow velocity change rate in the same flange connection part
It should be noted that, because the diode network has the characteristic of low pressure and low Wen Anbu dispersion, the flange connection position is used as a key easy-to-leak point position, and the comprehensive monitoring of the flange connection position can be ensured by adopting an annular multipoint sampling mode.
The calculation of the water flow change rate of the internal heat source water is realized through a multipoint monitoring and analyzing mode, and when leakage occurs in the flange connection part, the phenomenon of vortex or turbulence is caused, so that the current water flow speed of the leakage point position can change in direction and speed, and the supervision of the water flow speed of the leakage point position can be effectively ensured by controlling the supervision of the water flow speed of the leakage point position.
Obtaining the vibration amplitude of each nut washer at the flange connection part between each two adjacent pipelines in the diode network, and recording asWherein->Is the number of the nut washer at the same flange connection part, and +.>,/>Numbering the current flange connection part, and +.>
By analysis of formulasObtaining the abnormal risk coefficient of the flange connection of the current same flange connection part >
It should be noted that, considering that the mechanical influence factor of leakage at the leakage position is caused by loosening of the connecting piece at the current flange connection position, the supervision of the nut washers at each flange connection position can be controlled to timely control the nut washer condition at the flange connection position when the leakage trend occurs, and the double-effect supervision is effectively matched with the change of the flow velocity of the heat source water, so that the occurrence of the condition that the leakage cannot be predicted or found due to small-range cavitation is avoided, the influence of the factors of the nut washer vibration caused by the flow velocity change of the heat source water matched with the leakage water flow impact, the influence of the factors of the nut washer vibration caused by the pressure, the water flow impact force and the like is avoided, and the supervision accuracy is improved.
If the current rate of change of the flow rate of the heat source water in the flange connection partIs greater than or equal to the corresponding set threshold value and the abnormal risk coefficient of flange connection of the current same flange connection part>And if the current flange connection position is larger than or equal to the corresponding set threshold value, the current flange connection position has serious leakage risk, and an abnormal early warning signal is sent out.
If the current rate of change of the flow rate of the heat source water in the flange connection part A flange connection abnormality risk coefficient of the same flange connection part at present, which is smaller than the corresponding set threshold value>If the leakage risk is larger than the corresponding set threshold value, the middle leakage risk exists at the current flange connection part, and an abnormal early warning signal is sent out.
If the current rate of change of the flow rate of the heat source water in the flange connection partIs greater than or equal to the corresponding set threshold value and the abnormal risk coefficient of flange connection of the current same flange connection part>If the leakage risk is smaller than the corresponding set threshold value, the middle leakage risk exists at the current flange connection part, and an abnormal early warning signal is sent out。
If the current rate of change of the flow rate of the heat source water in the flange connection partA flange connection abnormality risk coefficient of the same flange connection part at present, which is smaller than the corresponding set threshold value>And the current flange connection part is in a safe running state or in a low leakage risk state if the current flange connection part is smaller than the corresponding set threshold value.
When the serious leakage risk, the moderate leakage risk, the safe running state or the low leakage risk state exists at the connecting position of the current flange, the vibration allowance standard of the mechanical pipeline is considered in advance according to the inside of the industry, the establishment of the related set threshold value is completed by means of the conventional technology in the field and the industry experience reference, the actual running state of the current pipeline is considered when the threshold value is specifically selected and designed, and the technology is completed by the person in the field according to the conventional technology, so that the description is omitted.
In any of the above schemes, preferably, the specific working process of the multi-path piping heat transfer safety assessment unit comprises: obtaining the loss deviation degree of the heat source hydro-thermal conveying temperatureSafe conveying coefficient of primary pipe network pipeline>The flow rate change of the heat source water in the current flange connection part>Flange connection abnormality risk coefficient>
When the heat source is in hydro-thermal delivery temperature loss deviation degreeSafe conveying coefficient of primary pipe network pipeline>The flow rate change of the heat source water in the current flange connection part>Flange connection abnormality risk coefficient>All within the normal range of values by the analytical formula +.>Obtaining a multi-channel piping heat transfer safety evaluation coefficient +.>
Wherein,,/>,/>,/>the weight ratio of the heat source water flow rate change rate factor in the current flange connection part and the heat source water flow rate change rate in the current flange connection part are respectively represented by the heat source water heat transfer temperature loss deviation factor, the heat source water heat transfer temperature loss deviation factor.
Heat transfer safety evaluation coefficient for multi-path piping systemAnd the security evaluation coefficient set value->Comparison, when->And if not, the current multi-path pipe system heat conveying state is in an unstable operation state.
And when the current multi-channel pipe system heat conveying state is in an unstable running state, an abnormal early warning signal is sent out.
In any of the above schemes, preferably, the specific working process of the shunt control unit is as follows: and acquiring a processing result of the heat transmission safety evaluation unit of the receiving multichannel tube system, and a processing result of the built-in heat source water parameter acquisition unit, the primary tube network operation parameter acquisition unit and the secondary tube network operation parameter acquisition unit of the multichannel tube system.
When the current multi-channel pipe system heat conveying state is in an unstable running state, sending a full-pipe system overhaul maintenance signal to each overhaul workstation corresponding to the full-pipe system positions of the primary pipe network and the secondary pipe network of the heat supply system.
It should be noted that, not only the analysis results of each parameter obtaining unit need to be monitored, but also the processing results of the multi-channel piping heat transfer safety evaluation unit need to be combined, so that supervision can be completed timely and effectively for the point location with hidden danger and the overall safety, and rapid early warning and timely positioning of the abnormal point location can be completed when any result is abnormal; when the overall result is abnormal but each single-point result is not abnormal, the overall abnormality caused by comprehensive accumulation needs to be considered, so that an all-pipe system overhaul and maintenance signal needs to be issued, the whole-course effective operation and maintenance supervision is realized, and potential safety hazards are eliminated in time.
And the overhauling staff of each overhauling work station overhauls the pipeline section to which the overhauling staff belongs and reports the overhauling result.
And acquiring processing results of the built-in heat source water parameter acquisition unit, the primary pipe network operation parameter acquisition unit and the secondary pipe network operation parameter acquisition unit of the multichannel pipe system, locking the corresponding abnormal point position coordinates according to the received abnormal early warning signals, and searching an overhaul workstation to which the current abnormal point position coordinates correspond.
And notifying maintenance personnel in the maintenance work station to which the current abnormal point position coordinate corresponds to go to the corresponding abnormal point position coordinate to finish maintenance of the corresponding pipeline.
And after the maintenance work corresponding to the primary pipe network and the secondary pipe network is completed, re-operating the built-in heat source water parameter acquisition unit, the primary pipe network operation parameter acquisition unit and the secondary pipe network operation parameter acquisition unit of the multichannel pipe system, and acquiring the processing results of the units until the units have no abnormal early warning signals.
And recalculating the processing result of the multi-path piping heat conveying safety evaluation unit until no abnormal early warning signal exists, otherwise repeating the steps.
The corresponding point position maintenance can effectively improve maintenance efficiency, so that maintenance supervision is more targeted, reporting can be completed timely after maintenance, corresponding maintenance data can be uploaded to the Internet of things cloud database, the acquisition of the whole system to the current parameters is effectively ensured, and dynamic correction can be completed timely during follow-up supervision and monitoring.
In any of the above schemes, preferably, after the overhaul of the pipeline in the area is completed by each overhaul workstation, the overhaul pipeline part is marked, the filling record of the related information is carried out on the marked part, and meanwhile, the marked information is photographed and uploaded to the internet of things cloud database for storage; the marking information of the corresponding pipeline position is used for being referred to by subsequent field maintenance personnel so as to be convenient for knowing the historical maintenance record of the current pipeline position.
The Internet of things cloud database is used for storing the historical maintenance records, the subsequent units can be conveniently extracted in time through storing the historical maintenance records, and the effective historical parameters can be conveniently obtained when the next round of parameter obtaining is completed after the extraction is completed.
In any of the above schemes, it is preferable that the corrosion-resistant label is fixed at the corresponding maintenance pipeline part, and the grade definition is completed by using the color of the corrosion-resistant label during the marking, wherein the red corrosion-resistant label represents the historical maintenance part, the yellow corrosion-resistant label represents the moderate hidden trouble maintenance, and the green corrosion-resistant label represents the historical maintenance part.
After the maintenance part is maintained, the corrosion-resistant labels with different colors are used for marking and recording relevant historical maintenance information, so that subsequent maintenance personnel can be effectively helped to timely and effectively know the maintenance state of the pipeline at the current part, and the subsequent maintenance strategy is convenient to brake according to the historical maintenance condition.
From the whole, the multi-channel piping heat transfer balance control supervision system based on the internet of things data processing can complete comprehensive monitoring of parameter information of internal heat source water aiming at a primary pipe network and a secondary pipe network, and meanwhile, the operation safety of the primary pipe network and the operation safety of the secondary pipe network in the operation process can be effectively analyzed and evaluated, so that the comprehensive evaluation of the safety of the multi-channel piping in the whole heating system is achieved, the operation stability of the system is effectively supervised, and abnormal positions are timely early warned; aiming at the comprehensive parameters of scale, cracks and corrosion of the pipeline part of the primary pipe network at high temperature and high pressure, the calculation and analysis of the safety and the cracking risk of the pipeline are realized after the analysis are completed, the supervision and analysis are effectively completed on the condition that the primary pipe network is easy to crack, and meanwhile, the comprehensive evaluation of the water quality condition and the water temperature heat conveying condition of the pipeline operation is realized by multi-parameter monitoring of the water quality conductivity of heat source water in the pipeline and the like; when an abnormal early warning signal appears in each unit, the shunt control unit can send an overhaul signal to each overhaul workstation, and meanwhile, after overhaul is completed at each pipeline overhaul position, a corresponding anti-corrosion label realization mark is arranged, so that a reference basis is effectively provided for personnel for overhaul next time, and useless workload in subsequent maintenance is reduced; the diode network has the condition of low pressure and low temperature relative to the primary pipe network, so the potential safety hazard of the pipeline is lower, the sensitive point positions of the flange connection parts are completed on the pipeline which is arranged in a scattered manner to analyze the flow velocity of water, the risk of the pipeline connection parts is effectively and timely early-warned through the change rate of the flow velocity of heat source water and the vibration condition of the nut washers, the early-warning analysis is carried out on the multi-sampling point positions through a single flange connection part during the analysis, and the comprehensive leakage risk early warning of a plurality of flange connection parts in the whole diode network can be comprehensively analyzed.
The above embodiments are only for illustrating the technical solution of the present invention, and not for limiting the same; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some or all of the technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit of the corresponding technical solutions; any alternative modifications or variations to the embodiments of the present invention will fall within the scope of the present invention for those skilled in the art.
The present invention is not described in detail in the present application, and is well known to those skilled in the art.

Claims (6)

1. Multi-channel piping heat transfer balance control supervisory systems based on thing allies oneself with data processing, its characterized in that: comprising the following steps: the multi-channel pipe system is internally provided with a heat source water parameter acquisition unit which is used for acquiring related parameters of heat source water in an internal conveying state of the target multi-channel pipe system; the primary pipe network operation parameter acquisition unit is used for acquiring operation parameters of the primary pipe network in the multi-path pipe system; the diode network operation parameter acquisition unit is used for acquiring the operation parameters of the diode network of the multi-path pipe system in the heat supply pipe system; the multi-channel pipe system heat conveying safety evaluation unit is used for analyzing and processing the related parameter information acquired by the built-in heat source water parameter acquisition unit, the primary pipe network operation parameter acquisition unit and the secondary pipe network operation parameter acquisition unit of the multi-channel pipe system, and performing evaluation analysis on the safe operation of the target multi-channel pipe system in the whole heat supply system to obtain a conclusion; the shunt control unit is used for receiving the processing results of the multi-channel pipe system heat conveying safety evaluation unit, the multi-channel pipe system built-in heat source water parameter acquisition unit, the primary pipe network operation parameter acquisition unit and the secondary pipe network operation parameter acquisition unit, acquiring the target abnormal point position and then issuing a shunt control instruction; the internet of things cloud database is used for storing all threshold parameters and all design parameter information related to the target multichannel tube system and extracting all units from the cloud;
The specific working process of the multi-channel pipe system built-in heat source water parameter acquisition unit is as follows: acquiring conductivity of heat source water inside a pipeline at each stage in a flowing stateWherein->Indicating the current +.>A number of individual conductivities; using the formulaObtaining a water quality change coefficient in a pipeline of the multi-channel pipeline system; acquiring heat source water temperature of each pipe at the sampling position in each pipe at the starting end of the target multi-channel pipe system>Wherein->Indicate->Numbering the temperature of the heat source water entering the pipe; obtaining the temperature of the heat source water of the pipe at each sampling position in the pipe at the end of the pipe system of the target multichannel pipe system>Wherein->Indicate->Numbering the water temperature of the heat source of each outlet pipe; by analysis of formulasObtaining the loss deviation degree of the hydrothermal transmission temperature of the heat source, wherein +.>Is the heat conductivity coefficient of the pipeline heat insulation material +.>Is the average outer diameter of the pipeline>Is the average inner diameter of the pipeline>Is the theoretical value of heat preservation loss of the pipeline>Is of circumference rate>For the effective length of all overhead lines on the ground in the multichannel piping system, < >>The effective length of all underground embedded pipelines in the multichannel piping system is the effective length of all underground embedded pipelines; />Wherein->Is the effective pipeline length in the multi-channel pipeline system, < >>,/>The average temperature difference value of the inlet heat source water temperature and the outlet heat source water temperature; / >,/>Respectively representing the weight ratio of the above-ground overhead pipeline factors in unit length and the underground embedded pipeline factors in unit length, < ->Is a natural constant; degree of deviation of loss of heat source hydro-thermal transmission temperature->When the water temperature is smaller than the set threshold value, the current heat source hydrothermal conveying heat preservation loss meets the requirement; otherwise, sending an abnormal early warning signal when excessive loss exists in the current heat source hydrothermal transportation heat preservation loss;
the working process of the primary pipe network operation parameter acquisition unit is as follows: obtaining the scale volume at each scale sampling point inside each section of pipeline in the primary pipeline network from the external scanning structure image information, and recording asWherein->Indicate->Numbering of scale volume at each sampling location; simultaneously acquiring the number of cracks at each crack sampling point in each section of pipeline in the primary pipe networkNumber of rust points ++>Wherein->Indicate->Number of cracks->First->Numbering the number of rust points; by analysis of the formula->Obtaining the pipeline damage coefficient of the current section, wherein ∈>,/>,/>Respectively representing the weight ratio corresponding to the scale volume factor, the crack quantity factor and the rust number factor; scale volume at any position inside the pipeline of the corresponding section +. >Number of cracks->Number of rust pointsWhen the conditions exceeding the respective corresponding threshold values occur, early warning signals are sent out, and the abnormal positions in the pipeline of the current section are positioned and marked; obtaining the average flow rate of the heat source water in the pipeline of the corresponding section in the unit time section +.>The method comprises the steps of carrying out a first treatment on the surface of the By analysis of formulasObtaining the pipeline water impact pressure overload rate of the current section>The method comprises the steps of carrying out a first treatment on the surface of the Wherein (1)>For the water impact coefficient inside the pipeline, +.>For the density of the heat source aqueous medium, < > is->Is the water hammer pressure threshold; acquiring the number of turning joints of the pipeline of the current section>The method comprises the steps of carrying out a first treatment on the surface of the By analysis of the formula->Obtaining the safe conveying coefficient of the single-section pipeline>The method comprises the steps of carrying out a first treatment on the surface of the Wherein (1)>,/>,/>The weight coefficients of the pipeline damage coefficient factor, the pipeline water hammer pressure overload rate factor and the single Duan Guanlu safe conveying coefficient factor are respectively; by analysis of the formula->Obtaining the safe conveying coefficient of the first-level pipe network pipeline>The method comprises the steps of carrying out a first treatment on the surface of the Wherein (1)>For the number of pipeline sections in the primary pipe network, < > for>Is a theoretical correction coefficient; according to the safe conveying coefficient of the first-level pipe network pipeline>Judging the safety state of the current primary pipe network pipeline in the conveying process, and when the safety conveying coefficient of the primary pipe network pipeline is +.>When the potential safety hazard exists in the current primary pipe network pipeline in the conveying process and an abnormal early warning signal is sent out when the potential safety hazard exists in the current primary pipe network pipeline in the conveying process; otherwise, the current first-level pipe network pipeline is in a safe running state;
The specific working process of the diode network operation parameter acquisition unit is as follows: acquiring the flow velocity of heat source water in the flange connection part between adjacent pipelines in the diode network, performing multipoint sampling along the circumferential direction of each flange connection part, and recording the flow velocity of the sampling point in unit time at the current sampling point asWherein->The number of sampling points in the same flange connection part is +.>,/>Numbering the current flange connection part, and +.>The method comprises the steps of carrying out a first treatment on the surface of the Calculating the current heat source water flow velocity change rate in the same flange connection partThe method comprises the steps of carrying out a first treatment on the surface of the Obtaining vibration amplitude of each nut washer at the flange connection part between each adjacent pipelines in the diode network, and marking the vibration amplitude as +.>Wherein->Is the number of the nut washer at the same flange connection part, and +.>,/>Numbering the current flange connection part, and +.>The method comprises the steps of carrying out a first treatment on the surface of the By analysis of the formula->Obtaining the abnormal risk coefficient of the flange connection of the current same flange connection part>The method comprises the steps of carrying out a first treatment on the surface of the If the current rate of change of the flow rate of the heat source water inside the flange connection part +.>Is greater than or equal to the corresponding set threshold value and the abnormal risk coefficient of flange connection of the current same flange connection part >If the current flange connection position is larger than or equal to the corresponding set threshold value, the current flange connection position has serious leakage risk, and an abnormal early warning signal is sent out; if the current rate of change of the flow rate of the heat source water inside the flange connection part +.>A flange connection abnormality risk coefficient of the same flange connection part at present, which is smaller than the corresponding set threshold value>If the leakage risk is larger than the corresponding set threshold value, the middle leakage risk exists at the current flange connection part, and an abnormal early warning signal is sent out; if the current rate of change of the flow rate of the heat source water inside the flange connection part +.>Is greater than or equal to the corresponding set threshold value and the abnormal risk coefficient of flange connection of the current same flange connection part>If the leakage risk is smaller than the corresponding set threshold value, the middle leakage risk exists at the current flange connection part, and an abnormal early warning signal is sent out; if the current rate of change of the flow rate of the heat source water inside the flange connection part +.>A flange connection abnormality risk coefficient of the same flange connection part at present, which is smaller than the corresponding set threshold value>Is also smaller than the corresponding set threshold value, the current flange connection part is in a safe running state or in a low leakage risk stateA state;
the system is used for acquiring comprehensive parameters of scale, cracks and rust on a pipeline part of a high-temperature high-pressure primary pipe network, realizing calculation and analysis of the safety and the rupture risk of the pipeline after the analysis is completed, effectively completing supervision and analysis on the condition that the primary pipe network is easy to rupture, and simultaneously realizing comprehensive evaluation on the water quality condition and the water temperature heat transfer condition of pipeline operation by multi-parameter monitoring of the water quality conductivity of heat source water in the pipeline;
The diode network has the condition of low pressure and low temperature relative to the primary pipe network, the sensitive point positions of all flange connection positions are completed by the pipelines which are arranged in a dispersing way, the risks of the pipeline connection positions are effectively and timely early-warned through the change rate of the heat source water flow speed and the vibration condition of the nut washers, early-warning analysis is carried out through a single flange connection position when multiple sampling points are analyzed, and meanwhile comprehensive leakage risk early warning of a plurality of flange connection positions in the whole diode network can be analyzed.
2. The multi-pass tubing heat transfer balance control supervisory system based on internet of things data processing according to claim 1, wherein: the related parameters of the heat source water in the internal conveying state of the target multichannel tube system in the multichannel tube system built-in heat source water parameter obtaining unit comprise: the conductivity of heat source water in the pipeline, the heat source water temperature of an inlet pipe at the starting end of the multi-channel pipe system, the heat source water temperature of an outlet pipe at the tail end of the multi-channel pipe system, the effective length of an underground embedded pipeline and the effective length of an overground overhead pipeline in the whole multi-channel pipe system.
3. The multi-pass tubing heat transfer balance control supervisory system based on internet of things data processing according to claim 2, wherein: the specific working process of the multichannel piping heat transfer safety evaluation unit comprises the following steps:
Obtaining the loss deviation degree of the heat source hydro-thermal conveying temperatureSafe conveying coefficient of primary pipe network pipeline>The flow rate change of the heat source water in the current flange connection part>Flange connection abnormality risk coefficient>
When the heat source is in hydro-thermal delivery temperature loss deviation degreeSafe conveying coefficient of primary pipe network pipeline>The flow rate change of the heat source water in the current flange connection part>Flange connection abnormality risk coefficient>All within the normal range of values by the analytical formula +.>Obtaining a multi-channel piping heat transfer safety evaluation coefficient +.>
Wherein,,/>,/>,/>respectively representing the heat source hydrothermal conveying temperature loss deviation factor, the heat source water flow velocity change rate factor in the current flange connection part and the weight duty ratio of the heat source water flow velocity change rate in the current flange connection part;
heat transfer safety evaluation coefficient for multi-path piping systemAnd the security evaluation coefficient set value->Comparison, when->≥/>When the current multi-channel pipe system heat conveying state is in a stable running state, otherwise, the current multi-channel pipe system heat conveying state is in an unstable running state;
and when the current multi-channel pipe system heat conveying state is in an unstable running state, an abnormal early warning signal is sent out.
4. A multi-pass tubing heat transfer balance control supervisory system based on internet of things data processing according to claim 3 wherein: the specific working process of the shunt control unit is as follows:
the method comprises the steps of obtaining a processing result of a heat transfer safety evaluation unit of a multi-channel pipe system, and obtaining a processing result of a built-in heat source water parameter obtaining unit, a primary pipe network operation parameter obtaining unit and a secondary pipe network operation parameter obtaining unit of the multi-channel pipe system;
when the current multi-channel pipe system heat conveying state is in an unstable running state, sending a full-pipe system overhaul maintenance signal to each overhaul workstation corresponding to the full-pipe system parts of the primary pipe network and the secondary pipe network of the heat supply system;
the maintenance personnel of each maintenance work station complete maintenance on the pipeline section to which the maintenance work station belongs and report the maintenance result;
acquiring processing results of a built-in heat source water parameter acquisition unit, a primary pipe network operation parameter acquisition unit and a secondary pipe network operation parameter acquisition unit of the multichannel pipe system, locking corresponding abnormal point position coordinates according to received abnormal early warning signals, and searching an overhaul workstation to which the current abnormal point position coordinates correspond;
notifying maintenance personnel in the maintenance work station to which the current abnormal point position coordinates correspond to the corresponding abnormal point position coordinates to finish maintenance of the corresponding pipeline;
When the maintenance work corresponding to the primary pipe network and the secondary pipe network is completed, re-operating the built-in heat source water parameter acquisition unit, the primary pipe network operation parameter acquisition unit and the secondary pipe network operation parameter acquisition unit of the multi-channel pipe system, and acquiring the processing results of the units until the units have no abnormal early warning signals;
and recalculating the processing result of the multi-path piping heat conveying safety evaluation unit until no abnormal early warning signal exists, otherwise repeating the steps.
5. The multi-path piping heat transfer balance control supervisory system based on internet of things data processing according to claim 4, wherein: marking the part of the overhaul pipeline after the overhaul of the pipeline in the area is completed by each overhaul workstation, filling in the record of relevant information at the marked part, and photographing and uploading the marked information to an Internet of things cloud database for storage; the marking information of the corresponding pipeline position is used for being referred to by subsequent field maintenance personnel so as to be convenient for knowing the historical maintenance record of the current pipeline position.
6. The multi-pass tubing heat transfer balance control supervisory system based on internet of things data processing according to claim 5, wherein: and fixing a corrosion-resistant label mark at the corresponding maintenance pipeline part, and finishing grade demarcation by using the color of the corrosion-resistant label during marking, wherein the red corrosion-resistant label represents the historical maintenance part and is used for severe hidden danger maintenance, the yellow corrosion-resistant label represents the historical maintenance part and is used for moderate hidden danger maintenance, and the green corrosion-resistant label represents the historical maintenance part and is used for mild hidden danger maintenance.
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Citations (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102567844A (en) * 2012-01-09 2012-07-11 于江涛 Energy management tree and energy management method
CN106910015A (en) * 2017-02-20 2017-06-30 天津大学 Heat supply secondary network risk of leakage appraisal procedure based on FAHP
CN110210783A (en) * 2019-06-12 2019-09-06 安徽天中物业管理有限公司 A kind of estate management water quality monitoring system
CN110362893A (en) * 2019-06-28 2019-10-22 浙江大学 A kind of heat supply pipeline heat preservation property and hydrophobic monitoring diagnosis system based on Internet of Things
CN113341097A (en) * 2021-07-05 2021-09-03 江苏云居检测技术有限公司 Water quality safety monitoring and early warning system and method based on big data
CN114234059A (en) * 2021-11-24 2022-03-25 岳阳市水务集团有限公司 Wisdom water affairs thing networking subregion measurement early warning system based on data analysis
CN115326143A (en) * 2022-09-19 2022-11-11 武汉安闲科技有限公司 Intelligent energy online monitoring method, system and storage medium
CN115479635A (en) * 2022-10-20 2022-12-16 江西省天然气管道有限公司运营分公司 Natural gas pipeline running state monitoring system based on big data
CN116644963A (en) * 2023-06-13 2023-08-25 天津市博拿德执行器制造有限责任公司 Pipeline safety supervision and assessment method, system and readable storage medium
CN219828579U (en) * 2023-04-23 2023-10-13 安徽宏远水务科技有限公司 Urban water supply network flow monitoring and early warning system
CN117072884A (en) * 2023-09-15 2023-11-17 江西省天然气管道有限公司运营分公司 Monitoring and early warning system for natural gas and oil gas pipeline

Patent Citations (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102567844A (en) * 2012-01-09 2012-07-11 于江涛 Energy management tree and energy management method
CN106910015A (en) * 2017-02-20 2017-06-30 天津大学 Heat supply secondary network risk of leakage appraisal procedure based on FAHP
CN110210783A (en) * 2019-06-12 2019-09-06 安徽天中物业管理有限公司 A kind of estate management water quality monitoring system
CN110362893A (en) * 2019-06-28 2019-10-22 浙江大学 A kind of heat supply pipeline heat preservation property and hydrophobic monitoring diagnosis system based on Internet of Things
CN113341097A (en) * 2021-07-05 2021-09-03 江苏云居检测技术有限公司 Water quality safety monitoring and early warning system and method based on big data
CN114234059A (en) * 2021-11-24 2022-03-25 岳阳市水务集团有限公司 Wisdom water affairs thing networking subregion measurement early warning system based on data analysis
CN115326143A (en) * 2022-09-19 2022-11-11 武汉安闲科技有限公司 Intelligent energy online monitoring method, system and storage medium
CN115479635A (en) * 2022-10-20 2022-12-16 江西省天然气管道有限公司运营分公司 Natural gas pipeline running state monitoring system based on big data
CN219828579U (en) * 2023-04-23 2023-10-13 安徽宏远水务科技有限公司 Urban water supply network flow monitoring and early warning system
CN116644963A (en) * 2023-06-13 2023-08-25 天津市博拿德执行器制造有限责任公司 Pipeline safety supervision and assessment method, system and readable storage medium
CN117072884A (en) * 2023-09-15 2023-11-17 江西省天然气管道有限公司运营分公司 Monitoring and early warning system for natural gas and oil gas pipeline

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
基于多级模糊与GIS的天然气管道风险评估;李卓;李永树;梁磊;;测绘工程;20130225(第01期);全文 *

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