Steam pipe network energy dissipation distribution method and device, electronic equipment and storage medium

Abstract

The application provides a steam pipe network energy dissipation distribution method and device, electronic equipment and storage medium, and relates to the technical field of urban lifeline. The method comprises the following steps: simulating according to point-line data and IOT collection data of a steam pipe network to obtain a simulation result of the steam pipe network; determining whether the simulation result meets a preset accuracy requirement; if the simulation result meets the preset accuracy requirement, determining a comprehensive weight of each pipe in the steam pipe network; and obtaining an energy dissipation distribution result of each user in the steam pipe network according to the comprehensive weight of each pipe in the steam pipe network and the simulation result. The simulation technology is used to accurately simulate the flow of steam in the pipe and the energy dissipation process, so that more reasonable energy dissipation distribution is realized, the actual energy dissipation situation of each user is truly reflected, the user can reduce the heating cost, and the heat operator can realize fine operation.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of urban lifeline, and in particular relates to a steam pipe network energy dissipation distribution method and device, electronic equipment and a storage medium. BACKGROUND

[0002] The steam pipe network is a closed system composed of pipes, valves, compensators, supports, drain valves and other components. Its core function is to safely, efficiently and economically transport steam generated by a boiler or heat source to one or more user ends.

[0003] Steam pipe network energy dissipation is an important parameter of system design and operation, and is also a problem that cannot be ignored. Therefore, how to reasonably distribute the steam pipe network energy dissipation so as to truly reflect the actual energy dissipation of each user is a problem that needs to be solved at present, which fundamentally helps users reduce heating costs and helps heat operators achieve fine operation. SUMMARY

[0004] Therefore, the present application provides a steam pipe network energy dissipation distribution method and device, electronic equipment and a storage medium to reasonably distribute the steam pipe network energy dissipation, so as to truly reflect the actual energy dissipation of each user, fundamentally help users reduce heating costs and help heat operators achieve fine operation.

[0005] The first aspect of the present application discloses a steam pipe network energy dissipation distribution method, comprising:

[0006] Simulating and simulating according to the point-line data and IOT collection data of the steam pipe network to obtain a simulation result of the steam pipe network;

[0007] determining whether the simulation result meets a preset accuracy requirement;

[0008] If the simulation result meets the preset accuracy requirement, the comprehensive weight of each pipe in the steam pipe network is determined;

[0009] According to the comprehensive weight of each pipe in the steam pipe network and the simulation result, an energy dissipation distribution result of each user in the steam pipe network is obtained.

[0010] Optionally, in the steam pipe network energy dissipation distribution method described above, the simulation result of the steam pipe network is obtained by simulating and simulating according to the point-line data and IOT collection data of the steam pipe network, comprising:

[0011] According to the point-line data of the steam pipe network, a physical model of the steam pipe network is established;

[0012] Simulate steam flow and energy dissipation of the physical model by using the IOT collected data of the steam pipe network to obtain a simulation result of the steam pipe network.

[0013] Optionally, in the steam pipe network energy dissipation distribution method, determining whether the simulation result meets the preset accuracy requirement comprises:

[0014] Respectively determining whether the simulation result meets a first comparison condition and a second comparison condition, the first comparison condition being that an error between the simulation result and a measured result of the steam pipe network is less than a preset error, and the second comparison condition being that a total inflow of the steam pipe network is equal to a sum of a total outflow of the steam pipe network and energy dissipation of the simulation result;

[0015] If it is determined that the simulation result meets the first comparison condition and the second comparison condition, it is determined that the simulation result meets the preset accuracy requirement.

[0016] If it is determined that the simulation result does not meet the first comparison condition or the second comparison condition, it is determined that the simulation result does not meet the preset accuracy requirement.

[0017] Optionally, in the steam pipe network energy dissipation distribution method, determining a comprehensive weight of each pipe in the steam pipe network comprises:

[0018] For each pipe in the steam pipe network, respectively determining construction data of the pipe, a gas source distance of the pipe, and a steam consumption flow of the pipe;

[0019] Processing the construction data of the pipe, the gas source distance of the pipe, and the steam consumption flow of the pipe to obtain a construction data weight of the pipe, a gas source distance weight of the pipe, and a steam consumption flow weight of the pipe;

[0020] Accumulating the construction data weight of the pipe, the gas source distance weight of the pipe, and the steam consumption flow weight of the pipe to obtain the comprehensive weight of the corresponding pipe of the steam pipe network.

[0021] Optionally, in the steam pipe network energy dissipation distribution method, processing the construction data of the pipe, the gas source distance of the pipe, and the steam consumption flow of the pipe by using an entropy weight method to obtain the construction data weight of the pipe, the gas source distance weight of the pipe, and the steam consumption flow weight of the pipe comprises:

[0022] Normalizing the construction data of the pipe, the gas source distance of the pipe, and the steam consumption flow of the pipe to obtain a construction data probability matrix of the pipe, a gas source distance probability matrix of the pipe, and a steam consumption flow probability matrix of the pipe;

[0023] According to the construction data probability matrix of the pipeline, the gas source distance probability matrix of the pipeline and the steam consumption flow probability matrix of the pipeline, construction data entropy value, pipeline construction data difference value, gas source distance entropy value, gas source distance difference value, steam consumption flow entropy value and steam consumption flow difference value of the pipeline are determined respectively;

[0024] According to the construction data entropy value, the pipeline construction data difference value, the gas source distance entropy value, the gas source distance difference value, the steam consumption flow entropy value and the steam consumption flow difference value of the pipeline, construction data weight, gas source distance weight and steam consumption flow weight of the pipeline are obtained respectively.

[0025] Optionally, in the steam pipe network energy dissipation distribution method, according to the comprehensive weight of each pipeline in the steam pipe network and the simulation result, the energy dissipation distribution result of each user in the steam pipe network is obtained, comprising:

[0026] The distribution proportion and the steam pipe of each user in the steam pipe network are determined respectively;

[0027] According to the steam pipe of the user, the comprehensive weight of each pipeline in the steam pipe network and the simulation result, the total energy dissipation of the steam pipe of the user is determined;

[0028] According to the total energy dissipation of the steam pipe of the user and the distribution proportion, the energy dissipation distribution result of each user in the steam pipe network is obtained.

[0029] Optionally, in the steam pipe network energy dissipation distribution method, the distribution proportion of each user in the steam pipe network is determined, comprising:

[0030] The total amount of gas source of the steam pipe network and the steam consumption flow of each user are determined;

[0031] For each user, the steam consumption flow of the user and the total amount of gas source are compared to obtain the distribution proportion of each user in the steam pipe network.

[0032] The second aspect of the present application discloses a steam pipe network energy dissipation distribution device, comprising:

[0033] A simulation unit is configured to simulate according to point-line data and IOT collection data of a steam pipe network to obtain a simulation result of the steam pipe network.

[0034] A judgment unit is configured to judge whether the simulation result meets a preset accuracy requirement.

[0035] A determination unit is configured to determine a comprehensive weight of each pipeline in the steam pipe network if the simulation result meets the preset accuracy requirement.

[0036] The distribution unit is configured to obtain an energy dissipation distribution result of each user in the steam pipe network according to the comprehensive weight of each pipe in the steam pipe network and the simulation result.

[0037] The third aspect of the present application discloses a storage medium, which comprises stored instructions, wherein the instructions control a device where the storage medium is located to perform the steam pipe network energy dissipation distribution method disclosed in the first aspect when the instructions are executed.

[0038] The fourth aspect of the present application discloses an electronic device, which comprises a memory, a processor and a computer program stored in the memory, and the processor executes the computer program to implement the steam pipe network energy dissipation distribution method disclosed in the first aspect.

[0039] Compared with the prior art, the present application has the following advantages:

[0040] The present application provides a steam pipe network energy dissipation distribution method, which comprises: performing simulation according to point-line data and IOT collection data of a steam pipe network to obtain a simulation result of the steam pipe network; judging whether the simulation result meets a preset accuracy requirement; if the simulation result meets the preset accuracy requirement, determining a comprehensive weight of each pipe in the steam pipe network; and obtaining an energy dissipation distribution result of each user in the steam pipe network according to the comprehensive weight of each pipe in the steam pipe network and the simulation result. The simulation technology is used to accurately simulate the flow and energy dissipation process of steam in the pipe, so that more reasonable energy dissipation distribution is realized, the actual energy dissipation situation of each user can be truly reflected, and the user can be fundamentally helped to reduce heating cost and the heat operator can be helped to realize fine operation. BRIEF DESCRIPTION OF DRAWINGS

[0041] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings needed to be used in the embodiments or the prior art description. Obviously, the drawings in the following description only belong to the embodiments of the present application, and for those skilled in the art, other drawings can also be obtained without creative labor on the basis of the provided drawings.

[0042] Figure 1 A flowchart of a steam pipe network energy dissipation distribution method provided by the embodiments of the present application is provided.

[0043] Figure 2 A flowchart of determination of a simulation result of a steam pipe network provided by the embodiments of the present application is provided.

[0044] Figure 3 A flowchart of determination of a comprehensive weight of each pipe in a steam pipe network provided by the embodiments of the present application is provided.

[0045] Figure 4A flow chart for determining the energy dissipation distribution result of each user in the steam pipe network provided by the embodiment of the present application is provided.

[0046] Figure 5 A practical application flow chart of the steam pipe network energy dissipation distribution method provided by the embodiment of the present application is provided.

[0047] Figure 6 A structural schematic diagram of a steam pipe network energy dissipation distribution device provided by the embodiment of the present application is provided.

[0048] Figure 7 A structural schematic diagram of an electronic device provided by the embodiment of the present application is provided. DETAILED DESCRIPTION

[0049] The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all the embodiments of the present application. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor fall within the scope of protection of the present application.

[0050] In the present application, the terms “comprise”, “contain” or any other variants thereof are intended to cover non-exclusive inclusion, so that the process, method, article or device comprising a series of elements not only includes those elements, but also includes other elements not explicitly listed or inherent to such process, method, article or device. Without more limitations, the element defined by the sentence “comprises a…” does not exclude the presence of another identical element in the process, method, article or device comprising the element.

[0051] First of all, it is pointed out that the traditional steam pipe network energy dissipation distribution method mainly has the following four kinds:

[0052] ①Meter measurement method. Directly based on meter measurement, the loss is directly calculated through the flow difference of the total meter and the sub-meter, which needs to rely on a large number of instruments, the investment cost is too large, and the inconsistent problem of steam instrument range will lead to inaccurate distribution.

[0053] ②Thermal calculation method. According to the principle of thermal calculation, the energy dissipation (such as ) is estimated based on pipe material, temperature and other parameters, which is only suitable for theoretical evaluation and has large dynamic error.

[0054] ③A1 algorithm. Real-time data collection through Internet of Things sensors (such as temperature, pressure, flow sensors) combined with AI algorithm analysis, but the investment cost is large and it is not possible to accurately estimate the cost borne by each user.

[0055] Based on the above, the embodiment of the application provides a steam pipe network energy dissipation distribution method and device, electronic equipment and storage medium, so as to realize reasonable distribution of steam pipe network energy dissipation, thereby truly reflecting the actual energy dissipation of each user.

[0056] See Figure 1 The steam pipe network energy dissipation distribution method mainly includes steps S101-S104:

[0057] S101, according to the point-line data and IOT collection data of the steam pipe network, simulation is carried out to obtain the simulation result of the steam pipe network.

[0058] The point-line data of the steam pipe network is the spatial geographic information data of the pipeline network for conveying steam, which is usually managed and stored in the form of "point" and "line" vector data. The line data represents the pipeline itself, represents the actual steam pipeline, and includes, for example, the unique number (identification code) of each pipe section, pipe diameter, pipe material, insulation type, laying method, starting point ID, ending point ID, length, enabling time, belonging system (which belongs to which heat source factory or which pressure grade pipe network), design pressure and design temperature, etc. The point data represents the characteristic points on the pipeline, including, for example, valve points, compensator points, drain points, user access points, heat source points, etc.

[0059] The IOT collection data of the steam pipe network is the data collected by deploying various sensors and Internet of Things devices on the steam pipe network system, at least including the thermodynamic state parameters, fluid and equipment state parameters and environment and state parameters of the steam pipe network. The thermodynamic state parameters of the steam pipe network include: pressure, temperature, flow, heat, etc. The fluid and equipment state parameters of the steam pipe network include: condensate water parameters, water quality parameters, equipment state, etc. The environment and state parameters of the steam pipe network include: pipeline vibration, pipeline displacement, ambient temperature, etc.

[0060] In some embodiments, the specific process of step S101, according to the point-line data and IOT collection data of the steam pipe network, simulation is carried out to obtain the simulation result of the steam pipe network, as shown in Figure 2 , mainly includes steps S201 and S202:

[0061] S201, according to the point-line data of the steam pipe network, a physical model of the steam pipe network is established.

[0062] In practical application, the accurate physical model of the steam pipe network is established according to the point-line data of the steam pipe network.

[0063] Specifically, the physical model of the steam pipe network can be established in combination with the actual layout of the pipeline of the steam pipe network, the pipe diameter of the pipeline, the pipe material and other parameters.

[0064] S202, simulate steam flow and energy dissipation of the physical model by using the IOT collected data of the steam pipe network to obtain simulation results of the steam pipe network.

[0065] The simulation results of the steam pipe network include: pressure of the pipeline, flow of the pipeline, temperature of the pipeline, specific friction of the pipeline, moisture of the pipeline, amount of steam of the pipeline, energy dissipation of the pipeline, etc.

[0066] In actual application, the steam flow mathematical equation of the physical model of the steam pipe network is established by fluid mechanics, the heat transfer mathematical equation of the physical model of the steam pipe network is established by thermodynamics, the steam flow mathematical equation and the heat transfer mathematical equation of the physical model are solved based on the IOT collected data of the steam pipe network, and the simulation results of the steam pipe network are obtained.

[0067] Ideal gas equation (suitable for superheated steam approximation):

[0068] ;

[0069] , ;

[0070] Wherein, P represents pressure (Pa), V represents volume (m 3 ), n represents the amount of substance (mol), R represents gas constant (water vapor R=461.5), T represents thermodynamic temperature (K), v represents specific volume, and m represents mass (kg).

[0071] Steam enthalpy equation:

[0072] ;

[0073] Wherein, h represents steam enthalpy, u represents steam internal energy, and Pv represents steam flow work.

[0074] The relationship between steam enthalpy and heat absorption during constant pressure process is:

[0075] ;

[0076] Wherein, q p represents heat absorption.

[0077] In the application of water vapor table, if the steam is saturated steam, then ;

[0078] In the application of water vapor table, if the steam is superheated steam, then ;

[0079] Wherein, represents specific enthalpy of saturated steam, represents specific enthalpy of saturated water, represents latent heat, x represents dryness, and is applicable to wet steam.

[0080] It should be noted that the heat transfer mathematical equation of the physical model of the steam pipe network can be derived from the ideal gas equation and the steam enthalpy equation.

[0081] The heat transfer mathematical equation of the physical model of the steam pipe network can be derived from the first law of thermodynamics (energy conservation law), which is specifically:

[0082] Closed system: ;

[0083] Wherein, △U represents the internal energy change of the system, Q represents heat, positive for heat absorption, and W represents volume work, positive for external work.

[0084] Open system (steady flow): ;

[0085] Wherein, v1 represents the steam inflow pipe speed, v2 represents the steam outflow pipe speed, g represents acceleration, z1 represents the height of pipe port 1, z2 represents the height of pipe port 2, Ws represents shaft work, and h1 represents specific enthalpy.

[0086] It should be noted that in the actual process of simulating steam flow and energy dissipation of the physical model by using IOT collected data of the steam pipe network, the calculation results of fluid mechanics can be prioritized, and then the calculation results of thermodynamics can be prioritized. Fluid mechanics follows energy conservation, and subsequent checking results can be ensured from pressure, flow and other aspects.

[0087] S102, judge whether the simulation result meets the preset accuracy requirement.

[0088] In some embodiments, the specific process of step S102, judging whether the simulation result meets the preset accuracy requirement, mainly includes steps S301 to S303:

[0089] S301, respectively judge whether the simulation result meets the first comparison condition and the second comparison condition.

[0090] The first comparison condition is that the error between the simulation result and the measured result of the steam pipe network is less than the preset error, and the second comparison condition is that the total inflow of the steam pipe network is equal to the sum of the total outflow of the steam pipe network and the energy dissipation of the simulation result.

[0091] In practical application, whether the error between the pipe pressure and the pipe flow in the simulation result and the measured pipe pressure and the measured pipe flow of the steam pipe network is less than the preset error can be compared respectively; the preset error can be 5%, of course, but is not limited thereto, and can also be determined according to the application environment and user demand, which are all within the protection scope of the present application.

[0092] For example, the simulation result does not satisfy the first comparison condition as shown in Table 1-1:

[0093] Table 1-1 Error table of measured value and simulation value of steam pipe network

[0094] Observed value Simulated value Error (%) 1360 1358.118 0.14 1360 1368.219 0.6 1330 1335.834 0.44 1350 1357.793 0.58 1340 1349.415 0.7 1350 1349.423 0.04 1360 1359.425 0.04 1370 1369.375 0.05 1350 1369.586 1.45

[0095] It should be noted that in practice, a step-by-step judgment method can be used, such as first judging whether the simulation result satisfies the first comparison condition and then judging whether the simulation result satisfies the second comparison condition, or first judging whether the simulation result satisfies the second comparison condition and then judging whether the simulation result satisfies the first comparison condition, thereby saving computing resources and expanding the execution of the adapter and the processor.

[0096] Of course, in order to improve the energy dissipation distribution speed of the steam pipe network, the judgment of whether the simulation result satisfies the first comparison condition and the second comparison condition can also be performed at the same time, which can be determined according to the application environment and user demand, and is within the protection scope of the present application.

[0097] If it is judged that the simulation result satisfies the first comparison condition and the second comparison condition, step S302 can be performed; if it is judged that the simulation result does not satisfy the first comparison condition or the second comparison condition, step S303 can be performed.

[0098] S302, determine that the simulation result satisfies the preset accuracy requirement.

[0099] In actual application, when it is judged that the simulation result satisfies the first comparison condition and the second comparison condition, it indicates that the error between the simulation result and the measured result is small, and the accuracy of the simulation result satisfies the requirement.

[0100] S303, determine that the simulation result does not satisfy the preset accuracy requirement.

[0101] In actual application, when it is judged that the simulation result does not satisfy the first comparison condition or the second comparison condition, it indicates that the error between the simulation result and the measured result is large, and the accuracy of the simulation result does not satisfy the requirement, and the step of returning to perform step S101 of simulating and emulating according to the point-line data and the IOT collection data of the steam pipe network to obtain the simulation result of the steam pipe network can be performed, and the new simulation result of the steam pipe network is obtained by re-simulating and emulating.

[0102] If the simulation result satisfies the preset accuracy requirement, step S103 can be performed.

[0103] S103, determine the comprehensive weight of each pipe in the steam pipe network.

[0104] In some embodiments, the specific execution process of step S103 of determining the comprehensive weight of each pipe in the steam pipe network is as follows: Figure 3As shown, mainly includes steps S401 to S403:

[0105] S401, for each pipe in the steam pipe network, respectively determine the construction data of the pipe, the gas source distance of the pipe and the steam flow of the pipe.

[0106] In practical applications, the construction data of the pipe, the gas source distance of the pipe and the steam flow of the pipe can be obtained through the steam pipe network IOT.

[0107] The construction data of the pipe at least includes: the construction year (laying time) of the pipe, the insulation level and the maintenance data of the pipe.

[0108] The gas source distance of the pipe represents the distance of the pipe from each gas source in the steam pipe network; specifically, the gas source distance of the pipe can be obtained through the DGA (Directed Acyclic Graph) directed graph of the steam pipe network.

[0109] The steam flow of the pipe represents the steam flow through the pipe.

[0110] S402, processing the construction data of the pipe, the gas source distance of the pipe and the steam flow of the pipe to obtain the construction data weight of the pipe, the gas source distance weight of the pipe and the steam flow weight of the pipe.

[0111] In practical applications, the construction data of the pipe, the gas source distance of the pipe and the steam flow of the pipe can be processed by using the entropy weight method to obtain the construction data weight of the pipe, the gas source distance weight of the pipe and the steam flow weight of the pipe.

[0112] In some embodiments, the specific implementation process of step S402, processing the construction data of the pipe, the gas source distance of the pipe and the steam flow of the pipe to obtain the construction data weight of the pipe, the gas source distance weight of the pipe and the steam flow weight of the pipe is as follows, mainly includes steps S501 to S503:

[0113] S501, the construction data of the pipe, the gas source distance of the pipe and the steam flow of the pipe are normalized to obtain the construction data probability matrix of the pipe, the gas source distance probability matrix of the pipe and the steam flow probability matrix of the pipe.

[0114] In practical applications, the gas source distance of the pipe can be taken as a reverse influence factor, and the construction data of the pipe and the steam flow of the pipe can be taken as positive influence factors for normalization processing, so as to obtain the construction data probability matrix of the pipe, the gas source distance probability matrix of the pipe and the steam flow probability matrix of the pipe.

[0115] S502, respectively determine the pipeline construction data entropy value, the pipeline construction data difference value, the gas source distance entropy value, the gas source distance difference value, the steam flow rate entropy value and the steam flow rate difference value according to the pipeline construction data probability matrix, the pipeline gas source distance probability matrix and the pipeline steam flow rate probability matrix.

[0116] In practical applications, the pipeline construction data entropy value, the gas source distance entropy value and the steam flow rate entropy value can be obtained by calculating according to the pipeline construction data probability matrix, the pipeline gas source distance probability matrix and the pipeline steam flow rate probability matrix; and the pipeline construction data difference value, the gas source distance difference value and the steam flow rate difference value can be obtained according to the conversion formula between the entropy value Ej and the difference value Dj.

[0117] S503, respectively obtain the pipeline construction data weight, the pipeline gas source distance weight and the pipeline steam flow rate weight according to the pipeline construction data entropy value, the pipeline construction data difference value, the gas source distance entropy value, the gas source distance difference value, the steam flow rate entropy value and the steam flow rate difference value.

[0118] In practical applications, according to the weight formula: The pipeline construction data weight, the pipeline gas source distance weight and the pipeline steam flow rate weight can be respectively obtained by substituting the pipeline construction data entropy value, the pipeline construction data difference value, the gas source distance entropy value, the gas source distance difference value, the steam flow rate entropy value and the steam flow rate difference value into the weight formula.

[0119] S403, accumulate the pipeline construction data weight, the pipeline gas source distance weight and the pipeline steam flow rate weight to obtain the comprehensive weight of the corresponding pipeline of the steam pipe network.

[0120] In practical applications, after obtaining the pipeline construction data weight, the pipeline gas source distance weight and the pipeline steam flow rate weight, the pipeline construction data weight, the pipeline gas source distance weight and the pipeline steam flow rate weight can be added to obtain the comprehensive weight of the corresponding pipeline of the steam pipe network.

[0121] It should be noted that when determining the comprehensive weight of each pipeline in the steam pipe network, the stability of the pipeline can also be considered as an influencing factor, and the stability of the pipeline is taken as a positive influencing factor; the more influencing factors considered, the more the obtained comprehensive weight of the pipeline approaches the actual situation, but also increases the corresponding calculation processing amount.

[0122] ​It should be further explained that if only the construction data of the pipeline is analyzed, the construction year, insulation level and maintenance data of the pipeline can be added together to equal 1, the insulation level will age over time, the thermal conductivity will increase year by year, and if the insulation layer is maintained frequently, the service life of the insulation layer can be delayed. The analysis can be performed based on a multiple regression method. For example, the energy dissipation rate of the pipeline = β1·construction year of the pipeline + β2·insulation level coefficient of the pipeline + β3·maintenance defect rate of the pipeline; β1represents a positive correlation, reflecting the aging influence; β2represents a negative correlation, reflecting the insulation level advantage; and β3represents a positive correlation, reflecting the consequences of insufficient maintenance. The insulation level coefficient of the pipeline can be obtained according to the insulation level of the pipeline and the construction year of the pipeline; and the maintenance defect rate of the pipeline can be obtained according to the maintenance data of the pipeline.

[0123] S104, obtaining the pipeline energy dissipation distribution result of each user in the steam pipe network according to the comprehensive weight of each pipeline in the steam pipe network and the simulation result.

[0124] In some embodiments, the specific implementation process of step S104, obtaining the pipeline energy dissipation distribution result of each user in the steam pipe network according to the comprehensive weight of each pipeline in the steam pipe network and the simulation result, mainly includes steps S601 to S603 as shown in the following table: Figure 4

[0125] S601, determining the distribution proportion and the steam pipeline of each user in the steam pipe network respectively.

[0126] In practice, according to the gas components in the simulation result of the steam pipe network, the gas consumption proportion of each user in the steam pipe network for each gas source is determined, and the gas consumption proportion of each user for each gas source in the steam pipe network is taken as the distribution proportion of the user.

[0127] However, according to the DGA directed graph of the steam pipe network, the steam pipeline of each user to the gas source is determined.

[0128] S602, determining the total energy dissipation of the steam pipeline of the user according to the steam pipeline of the user, the comprehensive weight of each pipeline in the steam pipe network and the simulation result.

[0129] In practical application, for each user in the steam pipe network, the total energy dissipation of the steam pipeline of the user is calculated according to the steam pipeline of the user, the comprehensive weight of the steam pipeline and the energy dissipation of the steam pipeline in the simulation result.

[0130] The total energy dissipation of the steam pipeline of the user is the sum of the energy dissipation generated on the pipeline reaching the user in the steam pipe network.

[0131] ​It should be noted that when the user is supplied with multiple gas sources, for each gas source, the total energy dissipation generated by the user on the pipeline reached by each gas source can be obtained.

[0132] S603, according to the total energy dissipation of the user's steam pipeline and the distribution ratio, the energy dissipation distribution result of each user in the steam pipe network is obtained.

[0133] In practical application, after obtaining the total energy dissipation of the user's steam pipeline, multiplying the total energy dissipation of the user's steam pipeline by the user's distribution ratio, the energy dissipation distribution result of each user in the steam pipe network can be obtained.

[0134] It should be noted that when the user is supplied with multiple gas sources, for each gas source, the total energy dissipation generated by the user on the pipeline reached by each gas source can be obtained.

[0135] In summary, it can be understood that for each user in the steam pipe network, the energy dissipation distribution result in the steam pipe network can be determined by the following formula:

[0136] The energy dissipation distribution result of each user in the steam pipe network = pipeline physical property related distribution item (pipeline distance of user steam passage x single pipeline energy dissipation factor) x pipeline factor + distribution ratio of user x flow factor x total energy dissipation; wherein, the pipeline physical property related distribution item is the construction data of the pipeline, and the single pipeline energy dissipation factor is the comprehensive weight of each pipeline.

[0137] In practical application, the pipeline factor and the flow factor can be given by parameter adjustment.

[0138] For example, the actual application flowchart of the steam pipe network energy dissipation distribution method can be as shown in Figure 5 .

[0139] The steam pipe network energy dissipation distribution method provided in the embodiment includes: simulating according to the point-line data and IOT collection data of the steam pipe network to obtain a simulation result of the steam pipe network; judging whether the simulation result meets a preset accuracy requirement; if the simulation result meets the preset accuracy requirement, determining the comprehensive weight of each pipeline in the steam pipe network; and obtaining the energy dissipation distribution result of each user in the steam pipe network according to the comprehensive weight of each pipeline in the steam pipe network and the simulation result. The simulation technology is used to accurately simulate the flow and energy dissipation process of steam in the pipeline, so as to realize more reasonable energy dissipation distribution, truly reflect the actual energy dissipation situation of each user, and fundamentally help the user to reduce the cost of heat supply and help the heat operator to realize fine operation.

[0140] Optionally, another embodiment of the present application also provides a steam pipe network energy dissipation distribution method, which mainly comprises the following steps: Figure 6

[0141] an emulation unit 101, configured to perform simulation according to point-line data and IOT collection data of a steam pipe network, to obtain simulation results of the steam pipe network;

[0142] a judgment unit 102, configured to judge whether the simulation results meet preset accuracy requirements;

[0143] a determination unit 103, configured to determine comprehensive weights of each pipe in the steam pipe network if the simulation results meet the preset accuracy requirements;

[0144] a distribution unit 104, configured to obtain energy dissipation distribution results of each user in the steam pipe network according to the comprehensive weights of each pipe in the steam pipe network and the simulation results.

[0145] In some embodiments, the emulation unit 101 is specifically configured to:

[0146] establish a physical model of the steam pipe network according to point-line data of the steam pipe network;

[0147] perform simulation of steam flow and energy dissipation on the physical model by using IOT collection data of the steam pipe network, to obtain simulation results of the steam pipe network.

[0148] In some embodiments, the judgment unit 102 is specifically configured to:

[0149] respectively judge whether the simulation results meet first comparison conditions and second comparison conditions, the first comparison conditions being that errors between the simulation results and measured results of the steam pipe network are less than preset errors, and the second comparison conditions being that total inflow of the steam pipe network is equal to a sum of total outflow of the steam pipe network and energy dissipation of the simulation results;

[0150] if it is judged that the simulation results meet the first comparison conditions and the second comparison conditions, it is determined that the simulation results meet the preset accuracy requirements;

[0151] if it is judged that the simulation results do not meet the first comparison conditions or the second comparison conditions, it is determined that the simulation results do not meet the preset accuracy requirements.

[0152] In some embodiments, the determination unit 103 is specifically configured to:

[0153] for each pipe in the steam pipe network, respectively determine construction data of the pipe, gas source distance of the pipe and steam flow of the pipe; ​

[0154] processing the construction data of the pipeline, the gas source distance of the pipeline and the steam consumption flow of the pipeline to obtain the construction data weight of the pipeline, the gas source distance weight of the pipeline and the steam consumption flow weight of the pipeline;

[0155] adding the construction data weight of the pipeline, the gas source distance weight of the pipeline and the steam consumption flow weight of the pipeline to obtain the comprehensive weight of the corresponding pipeline of the steam pipe network.

[0156] In some embodiments, the processing of the construction data of the pipeline, the gas source distance of the pipeline and the steam consumption flow of the pipeline to obtain the construction data weight of the pipeline, the gas source distance weight of the pipeline and the steam consumption flow weight of the pipeline comprises:

[0157] According to the construction data probability matrix of the pipeline, the gas source distance probability matrix of the pipeline and the steam consumption flow probability matrix of the pipeline, the construction data entropy value of the pipeline, the pipeline construction data difference value, the gas source distance entropy value, the gas source distance difference value, the steam consumption flow entropy value and the steam consumption flow difference value are determined respectively.

[0158] According to the construction data entropy value of the pipeline, the pipeline construction data difference value, the gas source distance entropy value, the gas source distance difference value, the steam consumption flow entropy value and the steam consumption flow difference value, the construction data weight of the pipeline, the gas source distance weight of the pipeline and the steam consumption flow weight of the pipeline are obtained respectively.

[0159] In some embodiments, the distribution unit 104 is specifically configured to:

[0160] determining the distribution proportion and the steam pipe of each user in the steam pipe network respectively;

[0161] determining the total energy dissipation of the steam pipe of the user according to the steam pipe of the user, the comprehensive weight of each pipeline in the steam pipe network and the simulation result;

[0162] obtaining the energy dissipation distribution result of each user in the steam pipe network according to the total energy dissipation of the steam pipe of the user and the distribution proportion.

[0163] In some embodiments, the determination of the distribution proportion of each user in the steam pipe network comprises:

[0164] determining the total gas source amount of the steam pipe network and the steam consumption flow of each user;

[0165] for each user, comparing the steam consumption flow of the user with the total gas source amount to obtain the distribution proportion of each user in the steam pipe network.

[0166] The steam pipe network energy dissipation distribution device provided by the embodiment can simulate the flow of steam in the pipe and the energy dissipation process by using simulation technology to accurately simulate the flow of steam in the pipe and the energy dissipation process, so that more reasonable energy dissipation distribution is realized, the actual energy dissipation situation of each user can be truly reflected, and the user can be fundamentally helped to reduce the heating cost, and the heat operator can be helped to realize fine operation.

[0167] Optionally, the embodiment of the present application further provides a storage medium, which comprises stored instructions, wherein when the instructions are executed, the device where the storage medium is located is controlled to execute the steam pipe network energy dissipation distribution method.

[0168] Optionally, the embodiment of the present application further provides an electronic device, and a structural schematic diagram thereof is shown in Figure 7 The processor 603 executes the computer program 602 to realize the steam pipe network energy dissipation distribution method.

[0169] It should be noted that the related description of the steam pipe network energy dissipation distribution method can be referred to the above-mentioned embodiments, and will not be repeated here.

[0170] It should be noted that the information (including but not limited to user equipment information, user personal information, etc.) and data (including but not limited to data for analysis, stored data, displayed data, etc.) involved in the present application are all information and data authorized by the user or authorized by all parties, and the collection, use and processing of the related data need to comply with the relevant laws, regulations and standards of the relevant region.

[0171] The specific implementation process of each of the above-mentioned embodiments and its derivative mode are all within the protection scope of the present application.

[0172] The various embodiments in this specification are described in a progressive manner. Similar or identical parts between embodiments can be referred to mutually. Each embodiment focuses on describing the differences from other embodiments. In particular, for system or system embodiments, since they are basically similar to method embodiments, the description is relatively simple, and relevant parts can be referred to the descriptions in the method embodiments. The systems and system embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs. Those skilled in the art can understand and implement this without creative effort.

[0173] Those skilled in the art will further recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of both. To clearly illustrate the interchangeability of hardware and software, the components and steps of the various examples have been generally described in terms of functionality in the foregoing description. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementations should not be considered beyond the scope of this invention.

[0174] The above description of the disclosed embodiments enables those skilled in the art to make or use the invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the invention. Therefore, the invention is not to be limited to the embodiments shown herein, but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A method for distributing energy dissipation in a steam pipeline network, characterized in that, include: Simulation results of the steam pipeline network are obtained by performing simulation based on the point and line data of the steam pipeline network and the data collected by IoT. Determine whether the simulation results meet the preset accuracy requirements; If the simulation results meet the preset accuracy requirements, then the comprehensive weight of each pipe in the steam pipeline network is determined. Based on the comprehensive weight of each pipe in the steam network and the simulation results, the energy dissipation distribution results for each user in the steam network are obtained. Determining the overall weight of each pipe in the steam network includes: For each pipe in the steam pipeline network, the construction data, the gas source distance, and the steam flow rate of the pipe are determined respectively. The construction data of the pipeline, the gas source distance of the pipeline, and the steam flow rate of the pipeline are processed to obtain the construction data weight of the pipeline, the gas source distance weight of the pipeline, and the steam flow rate weight of the pipeline. The construction data weight of the pipeline, the gas source distance weight of the pipeline, and the steam flow rate weight of the pipeline are summed to obtain the comprehensive weight of the pipeline corresponding to the steam network. Based on the comprehensive weight of each pipe in the steam network and the simulation results, the energy dissipation distribution results for each user in the steam network are obtained, including: Determine the allocation ratio and steam pipeline for each user in the steam network; Based on the user's steam pipeline, the comprehensive weight of each pipeline in the steam network, and the simulation results, the total energy dissipation of the user's steam pipeline is determined. Based on the total energy dissipation and distribution ratio of the steam pipelines of the users, the energy dissipation distribution result of each user in the steam pipeline network is obtained.

2. The method for dissipating and distributing energy in a steam pipeline network according to claim 1, characterized in that, Simulations were performed on the steam pipeline network based on the point and line data and IoT-acquired data to obtain the simulation results of the steam pipeline network, including: Based on the point and line data of the steam pipeline network, a physical model of the steam pipeline network is established; The steam flow and energy dissipation of the physical model are simulated using IoT data collected from the steam pipeline network to obtain the simulation results of the steam pipeline network.

3. The method for dissipating and distributing energy in a steam pipeline network according to claim 1, characterized in that, Determining whether the simulation results meet the preset accuracy requirements includes: The simulation results are determined to meet the first comparison condition and the second comparison condition respectively. The first comparison condition is that the error between the simulation result and the measured result of the steam pipe network is less than a preset error. The second comparison condition is that the total inflow of the steam pipe network is equal to the sum of the total outflow of the steam pipe network and the energy dissipation of the simulation result. If the simulation result is determined to meet the first comparison condition and the second comparison condition, then the simulation result is determined to meet the preset accuracy requirement. If the simulation result is determined not to meet the first comparison condition or the second comparison condition, then the simulation result is determined not to meet the preset accuracy requirement.

4. The method for dissipating and distributing energy in a steam pipeline network according to claim 1, characterized in that, The construction data of the pipeline, the gas source distance of the pipeline, and the steam flow rate of the pipeline are processed to obtain the construction data weight, the gas source distance weight, and the steam flow rate weight of the pipeline, including: The construction data of the pipeline, the gas source distance of the pipeline, and the steam flow rate of the pipeline are normalized to obtain the probability matrix of the pipeline construction data, the probability matrix of the gas source distance of the pipeline, and the probability matrix of the steam flow rate of the pipeline. Based on the pipeline construction data probability matrix, the pipeline gas source distance probability matrix, and the pipeline steam consumption flow probability matrix, the pipeline construction data entropy value, pipeline construction data difference value, gas source distance entropy value, gas source distance difference value, steam consumption flow entropy value, and steam consumption flow difference value are determined respectively. Based on the pipeline construction data entropy value, pipeline construction data difference value, gas source distance entropy value, gas source distance difference value, steam flow rate entropy value, and steam flow rate difference value, the pipeline construction data weight, the pipeline gas source distance weight, and the pipeline steam flow rate weight are obtained respectively.

5. The method for dissipating and distributing energy in a steam pipeline network according to claim 1, characterized in that, Determining the allocation ratio for each user in the steam pipeline network includes: Determine the total gas supply of the steam pipeline network and the steam flow rate of each user; For each user, the user's steam flow rate is compared with the total gas supply to obtain the allocation ratio for each user in the steam pipeline network.

6. A steam pipeline energy dissipation and distribution device, characterized in that, include: The simulation unit is used to perform simulation based on the point and line data of the steam pipeline network and the IoT acquisition data to obtain the simulation results of the steam pipeline network. A judgment unit is used to determine whether the simulation result meets the preset accuracy requirements; A determining unit is used to determine the comprehensive weight of each pipe in the steam pipeline network if the simulation results meet the preset accuracy requirements. The allocation unit is used to obtain the energy dissipation allocation result for each user in the steam pipeline network based on the comprehensive weight of each pipeline in the steam pipeline network and the simulation results. The determining unit is specifically used for: For each pipe in the steam pipeline network, the construction data, the gas source distance, and the steam flow rate of the pipe are determined respectively. The construction data of the pipeline, the gas source distance of the pipeline, and the steam flow rate of the pipeline are processed to obtain the construction data weight of the pipeline, the gas source distance weight of the pipeline, and the steam flow rate weight of the pipeline. The construction data weight of the pipeline, the gas source distance weight of the pipeline, and the steam flow rate weight of the pipeline are summed to obtain the comprehensive weight of the pipeline corresponding to the steam network. The allocation unit is specifically used for: Determine the allocation ratio and steam pipeline for each user in the steam network; Based on the user's steam pipeline, the comprehensive weight of each pipeline in the steam network, and the simulation results, the total energy dissipation of the user's steam pipeline is determined. Based on the total energy dissipation and distribution ratio of the steam pipelines of the users, the energy dissipation distribution result of each user in the steam pipeline network is obtained.

7. A storage medium, characterized in that, The storage medium includes stored instructions, wherein, when the instructions are executed, the device containing the storage medium is controlled to perform the steam network energy dissipation distribution method as described in any one of claims 1-5.

8. An electronic device comprising a memory, a processor, and a computer program stored in the memory, characterized in that, The processor executes the computer program to implement the steam network energy dissipation distribution method as described in any one of claims 1-5.

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