CN117272560A - Quick building method and device for heating steam pipe network simulation model - Google Patents
Quick building method and device for heating steam pipe network simulation model Download PDFInfo
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Abstract
The utility model discloses a method and a device for quickly constructing a heating steam pipe network simulation model, wherein the method comprises the following steps: collecting geographic data and historical operation data of a heating steam pipe network, storing the geographic data and the historical operation data in a GIS platform, and establishing an initial heating steam pipe network simulation model based on the GIS platform; adding the historical operation data into an identification database of an initial heating steam pipe network simulation model to determine heating steam pipe network simulation model parameters, and comparing the historical operation data with the heating steam pipe network simulation model parameters to obtain target parameter data; correcting an initial heating steam pipe network simulation model according to the target parameter data; and acquiring real-time operation data of the heating steam pipe network, and inputting the real-time operation data into the corrected heating steam pipe network simulation model to perform online simulation calculation. The utility model establishes a mechanism model matched with the heating steam pipe network, simulates and analyzes the actual running state of the pipe network, improves the production management and dispatching running technical level of the heating system, helps to solve the existing production technical problems of enterprises, and improves the steam supply quality and the service quality.
Description
Technical Field
The utility model relates to the technical field of building a heating steam pipe network simulation model, in particular to a method and a device for quickly building a heating steam pipe network simulation model.
Background
In order to respond to the national energy development strategy, small boilers are gradually banned in each place, and large-scale heat transport is carried out by adopting a cogeneration centralized heating mode. With the continuous improvement of heat supply quality and requirements of economic development, the heat supply steam pipe network has a large-scale and complicated development trend, the modeling difficulty of the urban complex steam heat supply network is very high, and the characteristics of parts such as pipelines, valves and the like are often different from those of the parts in an actual running state. In the process of establishing a simulation model according to historical operation data to perform simulation calculation, if parameters are not optimized and adjusted, the accuracy of calculation of the simulation model can be directly affected by errors of the parameters, and the simulation model is particularly aimed at a multi-heat source networking urban-level heat supply steam pipe network with different physical places. Therefore, the heating enterprises are hard in task, and a fast and accurate simulation model is urgently needed to be established to monitor the whole domain of the heating steam pipe network and analyze and make decisions on the running state in real time so as to adapt to the future development requirements of central heating, and further challenges in the aspects of safety, energy conservation and consumption reduction of the operation of the heating network are met.
Disclosure of Invention
In order to solve the technical problems, the utility model provides a method for quickly constructing a heating steam pipe network simulation model, which comprises the following steps:
collecting geographic data and historical operation data of a heating steam pipe network, storing the geographic data and the historical operation data in a GIS platform, and establishing an initial heating steam pipe network simulation model based on the GIS platform;
adding the historical operation data into an identification database of an initial heating steam pipe network simulation model to determine heating steam pipe network simulation model parameters, and comparing the historical operation data with the heating steam pipe network simulation model parameters to obtain target parameter data;
correcting an initial heating steam pipe network simulation model according to the target parameter data;
and acquiring real-time operation data of the heating steam pipe network, and inputting the real-time operation data into the corrected heating steam pipe network simulation model to perform online simulation calculation.
Further, the collecting the geographic data and the historical operation data of the heating steam pipe network, storing the geographic data and the historical operation data in the GIS platform, and the collecting the geographic data and the historical operation data comprise:
collecting geographic data and historical operation data of a heating steam pipe network, wherein the geographic data comprises heating source position data, pipeline network distribution data and user distribution data;
and preprocessing the collected geographic data and historical operation data of the heating steam pipe network, and storing the preprocessed geographic data and historical operation data in a GIS platform.
Further, the establishing an initial heating steam pipe network simulation model based on the GIS platform comprises the following steps:
drawing pipeline segments and nodes between a heat supply source and users in GIS software according to the collected geographic data, and establishing a heat supply steam pipe network topological structure;
and establishing spatial correlation between the collected historical operation data and the heating steam pipe network topological model in GIS software to obtain an initial heating steam pipe network simulation model.
Further, the step of adding the historical operation data to an identification database of the initial heating steam pipe network simulation model to determine parameters of the heating steam pipe network simulation model includes:
acquiring a historical operation data set from the historical operation data set in the GIS platform;
dividing the historical operating data set into a plurality of sub data sets according to a preset interval;
dividing each sub-data set into a phase data set, wherein the phase data set comprises a normal operation working condition phase data set, a peak load working condition phase data set and a non-peak load working condition phase data set;
according to the corresponding relation between each stage of data set and different working condition stages of the heating steam pipe network, determining parameter characteristic values of the heating steam pipe network simulation model corresponding to each sub data set from each stage of data set;
determining heating steam pipe network simulation parameters corresponding to each sub-data set according to the heating steam pipe network simulation model parameter characteristics;
summarizing the heating steam pipe network simulation model parameters corresponding to each sub-data set to obtain the heating steam pipe network simulation model parameters.
Further, the comparing the historical operation data with the heating steam pipe network simulation model parameters to obtain target parameter data includes:
and counting corresponding differences between the historical operation data and the heating steam pipe network simulation model parameters, and determining target parameter data to be corrected according to preset difference conditions.
Further, the correcting the initial heating steam pipe network simulation model according to the target parameter data includes:
correcting target parameter data of the initial heating steam pipe network simulation model through a least square method, iterating for a plurality of times until the difference between the target parameter data and the historical operation data is within a preset condition threshold value, and stopping iterating.
Further, the preprocessing mode for the collected geographic data and historical operation data of the heating steam pipe network at least comprises one of data cleaning, correlation analysis and normalization processing.
The utility model also provides a device for quickly constructing the heating steam pipe network simulation model, which comprises the following steps:
the acquisition module is used for collecting geographic data and historical operation data of the heating steam pipe network, storing the geographic data and the historical operation data in the GIS platform, and establishing an initial heating steam pipe network simulation model based on the GIS platform;
the comparison module is used for adding the historical operation data into an identification database of an initial heating steam pipe network simulation model to determine heating steam pipe network simulation model parameters, and comparing the historical operation data with the heating steam pipe network simulation model parameters to obtain target parameter data;
the correction module is used for correcting the initial heating steam pipe network simulation model according to the target parameter data;
the calculation module is used for acquiring real-time operation data of the heating steam pipe network, and inputting the real-time operation data into the corrected heating steam pipe network simulation model to perform online simulation calculation.
Compared with the prior art, the quick building method of the heating steam pipe network simulation model has the beneficial effects that:
the utility model is connected with the historical operation data of the existing heat supply network monitoring system, and the model calculation accuracy is continuously improved through model identification correction, so that the complex heat supply online simulation calculation is realized. According to the user demand, the user-defined simulation calculation input conditions are adopted, or the structural parameters of the system equipment are changed, different system operation conditions are deduced rapidly, data support is provided for the analysis diagnosis of the heat supply network operation scheme and the formulation of the expansion and reconstruction scheme, the actual operation state of the heat supply steam pipe network is simulated and analyzed through establishing a mechanism model matched with the heat supply steam pipe network, the production management and scheduling operation technical level of the heat supply system is improved, the existing production technical problems of enterprises are assisted to be solved, and the steam supply quality and the service quality are improved.
Drawings
FIG. 1 is a schematic flow chart of a method for quickly constructing a heating vapor pipe network simulation model in an embodiment of the utility model;
fig. 2 is a schematic diagram of a device for quickly constructing a heating vapor pipe network simulation model in an embodiment of the utility model.
Detailed Description
The detailed description of the present application is further described in detail below with reference to the drawings and examples. The following examples are illustrative of the utility model and are not intended to limit the scope of the utility model.
In the description of the present application, it should be understood that the terms "center," "upper," "lower," "front," "rear," "left," "right," "vertical," "horizontal," "top," "bottom," "inner," "outer," and the like indicate orientations or positional relationships based on the orientation or positional relationships shown in the drawings, merely to facilitate description of the present application and simplify the description, and do not indicate or imply that the devices or elements referred to must have a specific orientation, be configured and operated in a specific orientation, and therefore should not be construed as limiting the present application.
The terms "first," "second," and the like, are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defining "a first" or "a second" may explicitly or implicitly include one or more such feature. In the description of the present application, unless otherwise indicated, the meaning of "a plurality" is two or more.
In the description of the present application, it should be noted that, unless explicitly specified and limited otherwise, the terms "mounted," "connected," and "connected" are to be construed broadly, and may be either fixedly connected, detachably connected, or integrally connected, for example; can be mechanically or electrically connected; can be directly connected or indirectly connected through an intermediate medium, and can be communication between two elements. The specific meaning of the terms in this application will be understood by those of ordinary skill in the art in a specific context.
As shown in fig. 1, in an embodiment of the present application, a method for quickly building a heating vapor pipe network simulation model is provided, including: s100: collecting geographic data and historical operation data of a heating steam pipe network, storing the geographic data and the historical operation data in a GIS platform, and establishing an initial heating steam pipe network simulation model based on the GIS platform; s200: adding the historical operation data into an identification database of an initial heating steam pipe network simulation model to determine heating steam pipe network simulation model parameters, and comparing the historical operation data with the heating steam pipe network simulation model parameters to obtain target parameter data; s300: correcting an initial heating steam pipe network simulation model according to the target parameter data; s400: and acquiring real-time operation data of the heating steam pipe network, and inputting the real-time operation data into the corrected heating steam pipe network simulation model to perform online simulation calculation.
Furthermore, the utility model is connected with the historical operation data of the existing heat supply network monitoring system, and the model calculation accuracy is continuously improved through model identification and correction, so that the complex heat supply online simulation calculation is realized. According to the user demand, the user-defined simulation calculation input conditions are adopted, or the structural parameters of the system equipment are changed, different system operation conditions are deduced rapidly, data support is provided for the analysis diagnosis of the heat supply network operation scheme and the formulation of the expansion and reconstruction scheme, the actual operation state of the heat supply steam pipe network is simulated and analyzed through establishing a mechanism model matched with the heat supply steam pipe network, the production management and scheduling operation technical level of the heat supply system is improved, the existing production technical problems of enterprises are assisted to be solved, and the steam supply quality and the service quality are improved.
In the embodiment of the application, a method for quickly constructing a heating vapor pipe network simulation model is provided, geographic data and historical operation data of a heating vapor pipe network are collected and stored in a GIS platform, and the method comprises the following steps: collecting geographic data and historical operation data of a heating steam pipe network, wherein the geographic data comprises heating source position data, pipeline network distribution data and user distribution data; and preprocessing the collected geographic data and historical operation data of the heating steam pipe network, and storing the preprocessed geographic data and historical operation data in a GIS platform.
In an embodiment of the present application, a method for quickly building a heating vapor pipe network simulation model is provided, where the initial heating vapor pipe network simulation model is built based on a GIS platform, and includes: drawing pipeline segments and nodes between a heat supply source and users in GIS software according to the collected geographic data, and establishing a heat supply steam pipe network topological structure; and establishing spatial correlation between the collected historical operation data and the heating steam pipe network topological model in GIS software to obtain an initial heating steam pipe network simulation model.
Furthermore, by adopting a modeling mode based on a GIS platform, a model is built in the GIS platform to carry out simulation calculation and display, and aiming at specific geographic data and historical operation data of the current heating steam pipe network, pipe network trend, system heat source, heat user, pipeline, valve, steam trap, compensator and other pipe network information are arranged in the geographic data, so that a corresponding initial heating steam pipe network simulation model can be built.
In an embodiment of the present application, a method for quickly building a heating vapor pipe network simulation model is provided, where the step of adding historical operation data to an identification database of an initial heating vapor pipe network simulation model to determine parameters of the heating vapor pipe network simulation model includes: acquiring a historical operation data set from the historical operation data set in the GIS platform; dividing the historical operating data set into a plurality of sub data sets according to a preset interval; dividing each sub-data set into a phase data set, wherein the phase data set comprises a normal operation working condition phase data set, a peak load working condition phase data set and a non-peak load working condition phase data set; according to the corresponding relation between each stage of data set and different working condition stages of the heating steam pipe network, determining parameter characteristic values of the heating steam pipe network simulation model corresponding to each sub data set from each stage of data set; determining heating steam pipe network simulation parameters corresponding to each sub-data set according to the heating steam pipe network simulation model parameter characteristics; summarizing the heating steam pipe network simulation model parameters corresponding to each sub-data set to obtain the heating steam pipe network simulation model parameters.
Further, the mechanism simulation model is identified and corrected based on historical operation data, and relevant parameters in the simulation model are adaptively learned and corrected through reverse identification of parameters such as a pipeline resistance coefficient, a heat transfer coefficient and the like, so that consistency of simulation results and physical pipe network measurement data is promoted, and a data basis is provided for decision optimization. Based on mechanism modeling and data identification, the system simulates and analyzes the real-time state of the whole network, realizes global soft measurement of the system, can intensively display steam state parameters of the whole network, can provide reports and curve displays of heat sources, branch lines and heat users, and can compare the running state data of each heat user with steam demand values and warn that the steam parameters are not up to standard.
In an embodiment of the present application, a method for quickly building a heating vapor pipe network simulation model is provided, where historical operation data is compared with parameters of the heating vapor pipe network simulation model to obtain target parameter data, including: and counting corresponding differences between the historical operation data and the heating steam pipe network simulation model parameters, and determining target parameter data to be corrected according to preset difference conditions.
In an embodiment of the present application, a method for quickly building a heating vapor pipe network simulation model is provided, where the modifying an initial heating vapor pipe network simulation model according to target parameter data includes: correcting target parameter data of the initial heating steam pipe network simulation model through a least square method, iterating for a plurality of times until the difference between the target parameter data and the historical operation data is within a preset condition threshold value, and stopping iterating.
In an embodiment of the present application, a method for quickly building a heating vapor pipe network simulation model is provided, where a preprocessing mode for collected geographic data and historical operation data of a heating vapor pipe network includes at least one of data cleaning, correlation analysis, and normalization processing.
As shown in fig. 2, in an embodiment of the present application, a device for quickly building a heating vapor pipe network simulation model is provided, including: the acquisition module is used for collecting geographic data and historical operation data of the heating steam pipe network, storing the geographic data and the historical operation data in the GIS platform, and establishing an initial heating steam pipe network simulation model based on the GIS platform; the comparison module is used for adding the historical operation data into an identification database of an initial heating steam pipe network simulation model to determine heating steam pipe network simulation model parameters, and comparing the historical operation data with the heating steam pipe network simulation model parameters to obtain target parameter data; the correction module is used for correcting the initial heating steam pipe network simulation model according to the target parameter data; the calculation module is used for acquiring real-time operation data of the heating steam pipe network, and inputting the real-time operation data into the corrected heating steam pipe network simulation model to perform online simulation calculation.
In summary, the embodiment of the utility model provides a method and a device for quickly constructing a heating steam pipe network simulation model, wherein the method comprises the following steps: collecting geographic data and historical operation data of a heating steam pipe network, storing the geographic data and the historical operation data in a GIS platform, and establishing an initial heating steam pipe network simulation model based on the GIS platform; adding the historical operation data into an identification database of an initial heating steam pipe network simulation model to determine heating steam pipe network simulation model parameters, and comparing the historical operation data with the heating steam pipe network simulation model parameters to obtain target parameter data; correcting an initial heating steam pipe network simulation model according to the target parameter data; and acquiring real-time operation data of the heating steam pipe network, and inputting the real-time operation data into the corrected heating steam pipe network simulation model to perform online simulation calculation. The utility model establishes a mechanism model matched with the heating steam pipe network, simulates and analyzes the actual running state of the pipe network, improves the production management and dispatching running technical level of the heating system, helps to solve the existing production technical problems of enterprises, and improves the steam supply quality and the service quality.
Finally, it should be noted that: it will be apparent to those skilled in the art that various modifications and variations can be made to the present utility model without departing from the spirit or scope of the utility model. Thus, it is intended that the present utility model also include such modifications and alterations insofar as they come within the scope of the appended claims or the equivalents thereof.
The foregoing is merely an example of the present utility model and is not intended to limit the scope of the present utility model, and all changes made in the structure according to the present utility model should be considered as falling within the scope of the present utility model without departing from the gist of the present utility model. It will be clear to those skilled in the art that, for convenience and brevity of description, the specific working process of the system described above and the related description may refer to the corresponding process in the foregoing method embodiment, which is not repeated here.
The terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus/apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus/apparatus.
Thus far, the technical solution of the present utility model has been described in connection with the further embodiments shown in the drawings, but it is readily understood by those skilled in the art that the scope of protection of the present utility model is not limited to these specific embodiments. Equivalent modifications and substitutions for related technical features may be made by those skilled in the art without departing from the principles of the present utility model, and such modifications and substitutions will fall within the scope of the present utility model.
The foregoing description is only of the preferred embodiments of the present utility model, and is not intended to limit the scope of the present utility model.
Claims (8)
1. A method for quickly constructing a heating steam pipe network simulation model is characterized by comprising the following steps:
collecting geographic data and historical operation data of a heating steam pipe network, storing the geographic data and the historical operation data in a GIS platform, and establishing an initial heating steam pipe network simulation model based on the GIS platform;
adding the historical operation data into an identification database of an initial heating steam pipe network simulation model to determine heating steam pipe network simulation model parameters, and comparing the historical operation data with the heating steam pipe network simulation model parameters to obtain target parameter data;
correcting an initial heating steam pipe network simulation model according to the target parameter data;
and acquiring real-time operation data of the heating steam pipe network, and inputting the real-time operation data into the corrected heating steam pipe network simulation model to perform online simulation calculation.
2. The method for quickly constructing a simulation model of a heating vapor pipe network according to claim 1, wherein the collecting the geographic data and the historical operation data of the heating vapor pipe network, storing them in a GIS platform, comprises:
collecting geographic data and historical operation data of a heating steam pipe network, wherein the geographic data comprises heating source position data, pipeline network distribution data and user distribution data;
and preprocessing the collected geographic data and historical operation data of the heating steam pipe network, and storing the preprocessed geographic data and historical operation data in a GIS platform.
3. The method for quickly constructing a heating vapor pipe network simulation model according to claim 2, wherein the establishing an initial heating vapor pipe network simulation model based on a GIS platform comprises the following steps:
drawing pipeline segments and nodes between a heat supply source and users in GIS software according to the collected geographic data, and establishing a heat supply steam pipe network topological structure;
and establishing spatial correlation between the collected historical operation data and the heating steam pipe network topological model in GIS software to obtain an initial heating steam pipe network simulation model.
4. A method for quickly constructing a heating vapor pipe network simulation model according to claim 3, wherein the step of adding the historical operation data to an identification database of an initial heating vapor pipe network simulation model to determine heating vapor pipe network simulation model parameters comprises the steps of:
acquiring a historical operation data set from the historical operation data set in the GIS platform;
dividing the historical operating data set into a plurality of sub data sets according to a preset interval;
dividing each sub-data set into a phase data set, wherein the phase data set comprises a normal operation working condition phase data set, a peak load working condition phase data set and a non-peak load working condition phase data set;
according to the corresponding relation between each stage of data set and different working condition stages of the heating steam pipe network, determining parameter characteristic values of the heating steam pipe network simulation model corresponding to each sub data set from each stage of data set;
determining heating steam pipe network simulation parameters corresponding to each sub-data set according to the heating steam pipe network simulation model parameter characteristics;
summarizing the heating steam pipe network simulation model parameters corresponding to each sub-data set to obtain the heating steam pipe network simulation model parameters.
5. The method for quickly constructing a heating vapor pipe network simulation model according to claim 4, wherein the comparing the historical operation data with the heating vapor pipe network simulation model parameters to obtain target parameter data comprises:
and counting corresponding differences between the historical operation data and the heating steam pipe network simulation model parameters, and determining target parameter data to be corrected according to preset difference conditions.
6. The method for quickly constructing a heating vapor pipe network simulation model according to claim 5, wherein the correcting the initial heating vapor pipe network simulation model according to the target parameter data comprises the following steps:
correcting target parameter data of the initial heating steam pipe network simulation model through a least square method, iterating for a plurality of times until the difference between the target parameter data and the historical operation data is within a preset condition threshold value, and stopping iterating.
7. The method for quickly constructing the heating steam pipe network simulation model according to claim 2, wherein,
the preprocessing mode for the collected geographic data and historical operation data of the heating steam pipe network at least comprises one of data cleaning, correlation analysis and normalization processing.
8. Quick building device of heating steam pipe network simulation model, its characterized in that includes:
the acquisition module is used for collecting geographic data and historical operation data of the heating steam pipe network, storing the geographic data and the historical operation data in the GIS platform, and establishing an initial heating steam pipe network simulation model based on the GIS platform;
the comparison module is used for adding the historical operation data into an identification database of an initial heating steam pipe network simulation model to determine heating steam pipe network simulation model parameters, and comparing the historical operation data with the heating steam pipe network simulation model parameters to obtain target parameter data;
the correction module is used for correcting the initial heating steam pipe network simulation model according to the target parameter data;
the calculation module is used for acquiring real-time operation data of the heating steam pipe network, and inputting the real-time operation data into the corrected heating steam pipe network simulation model to perform online simulation calculation.
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Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN106682369A (en) * | 2017-02-27 | 2017-05-17 | 常州英集动力科技有限公司 | Heating pipe network hydraulic simulation model identification correction method and system, method of operation |
CN112084631A (en) * | 2020-08-14 | 2020-12-15 | 浙江浙能绍兴滨海热电有限责任公司 | Heat supply pipe network steam back supply scheduling method and system based on simulation model |
CN114896891A (en) * | 2022-05-27 | 2022-08-12 | 中国计量大学 | Steam simulation calculation method based on error correction of nuclear extreme learning machine |
CN116341204A (en) * | 2023-02-21 | 2023-06-27 | 东北大学 | Steam pipe network simulation system optimal scheduling method based on digital twinning |
US20230205943A1 (en) * | 2020-08-18 | 2023-06-29 | Zhejiang University | Real-time simulation method of sewage pipe network based on water supply iot data assimilation |
-
2023
- 2023-09-15 CN CN202311196084.6A patent/CN117272560A/en active Pending
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN106682369A (en) * | 2017-02-27 | 2017-05-17 | 常州英集动力科技有限公司 | Heating pipe network hydraulic simulation model identification correction method and system, method of operation |
CN112084631A (en) * | 2020-08-14 | 2020-12-15 | 浙江浙能绍兴滨海热电有限责任公司 | Heat supply pipe network steam back supply scheduling method and system based on simulation model |
US20230205943A1 (en) * | 2020-08-18 | 2023-06-29 | Zhejiang University | Real-time simulation method of sewage pipe network based on water supply iot data assimilation |
CN114896891A (en) * | 2022-05-27 | 2022-08-12 | 中国计量大学 | Steam simulation calculation method based on error correction of nuclear extreme learning machine |
CN116341204A (en) * | 2023-02-21 | 2023-06-27 | 东北大学 | Steam pipe network simulation system optimal scheduling method based on digital twinning |
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