5G technology intelligent heat supply network construction method

Abstract

The invention discloses a 5G technology intelligent heat supply network construction method, which comprises the following operation steps: carrying out modeling based on a GIS geographic information environment, adopting a 5G technology to provide an advanced professional analysis function in an offline mode for production management and operation scheduling personnel, and adopting a WEB-based B / S architecture to provide an intelligent heat supply network for the production management and operation scheduling personnel. Pressure, temperature and flow at important positions along a heat consumer metering station and a heat supply pipe network are monitored, the operation state of the heat supply network is analyzed, and data cleaning and data verification functions are included. According to the 5G technology intelligent heat supply network construction method, a set of complete intelligent heat supply production management and operation scheduling platform system is configured based on the 5G technology, and the system monitors the operation state of the heat supply network in real time according to the technology development trend of the intelligent energy industry by adopting the Internet of Things sensing technology; a virtual simulation system and an industrial big data method are adopted to analyze the operation state of the heat supply network, and an intelligent and refined operation management system integrating an information system and a physical system is constructed.

Description

Technical Field

[0001] The present invention relates to the field of smart heating network construction, and in particular to a method for constructing a smart heating network using 5G technology. Background Art

[0002] The smart heating network construction method is a complete smart heating production management and operation scheduling platform system. The system follows the technological development trend of the smart energy industry, adopts Internet of Things sensing technology, monitors the operation status of the heating network in real time, and uses virtual simulation systems and industrial big data methods to analyze the operation status of the heating network, building an intelligent and refined operation management system that integrates information systems and physical systems. With the continuous development of science and technology, people's requirements for smart heating network construction methods are getting higher and higher.

[0003] The existing heating network construction has certain drawbacks when in use. First of all, the existing heating network construction cannot be well managed intelligently and requires more manual management, which is not conducive to people's use. In addition, the existing heating network construction cannot monitor the operation of the heating network in real time. When problems occur, they cannot be known in the first time, which is easy to cause safety accidents and bring certain adverse effects to people's use process. For this reason, we propose a 5G technology smart heating network construction method. Summary of the invention

[0004] Technical problems solved: In view of the shortcomings of the prior art, the present invention provides a method for building a smart heating network using 5G technology. Based on 5G technology, a complete smart heating production management and operation scheduling platform system is configured. The system follows the technological development trend of the smart energy industry and adopts Internet of Things sensing technology to monitor the operating status of the heating network in real time. It adopts a virtual simulation system and industrial big data methods to analyze the operating status of the heating network, and constructs an intelligent and refined operation management system that integrates information systems and physical systems, which can effectively solve the problems in the background technology.

[0005] Technical solution: To achieve the above purpose, the technical solution adopted by the present invention is: a 5G technology smart heating network construction method, including the following steps:

[0006] S1: Simulation modeling and analysis: Modeling is carried out based on the GIS geographic information environment, and 5G technology is used to provide production management and operation scheduling personnel with advanced professional analysis functions in an offline mode;

[0007] S2: Operation status monitoring: Using a WEB-based B / S architecture, monitor the pressure, temperature and flow at the heat user metering station and important locations along the heating pipeline network, and analyze the operation status of the heating network, including data cleaning and data verification functions;

[0008] S3: Real-time simulation of operation: Based on the simulation model, the operation status of the heating system is simulated in real time, and the safety and economy of the heating system operation are analyzed and simulated in real time in combination with the operation status monitoring data;

[0009] S4: Load forecasting and analysis: Based on big data, a steam heat network load forecasting model is established to realize the user load forecasting and analysis of the steam heat network. The system can draw a comparison curve between the predicted load and the actual load, and support the display and printing of the forecast result report;

[0010] S5: Comprehensive management: Through online real-time simulation, the system can realize real-time analysis of the operation safety of complex heating network systems, issue early warnings for water hammer danger points in the pipe network based on simulation calculation results, remind monitoring personnel to take precautions, process and centrally display important production information in the heating system, help operation and dispatch personnel understand the operation of the heating system in more detail, realize intelligent management, and realize permission setting, information management and background management;

[0011] S6: Report analysis: Based on the simulation model, the system outputs a network loss analysis report every day, clearly showing the steam supply, steam sales and network loss of each independent steam supply network;

[0012] S7: Operation and scheduling optimization: realize the optimal load distribution among multiple heat sources and optimize the decoupling of the pipeline network under different working conditions;

[0013] S8: Key user status monitoring: real-time monitoring of key users’ energy usage status, abnormal status feedback alarm;

[0014] S9: Smart heating network maintenance: fix bugs in the smart heating lean management platform, upgrade the functions of the corresponding version in real time, update the heating network data connection service, and ensure that all heating network data are connected to the heating network model;

[0015] S10: Plan formulation: Operation and scheduling is based on the simulation system's professional scheduling plan for thermal hydraulic systems, and operation and scheduling plans, heat source networking operation, decoupling operation plans and emergency conditions scheduling plans are formulated based on the simulation system.

[0016] As a preferred technical solution of the present application, in the steps S1-S4, a pipe network structure mechanism model is established to achieve offline simulation calculation of the steam flow state of the entire network and the steam parameters at the user.

[0017] As a preferred technical solution of the present application, in the steps S1-S3, a smart heating production management and operation scheduling platform system is configured based on 5G technology, the Internet of Things sensing technology is used to monitor the operation status of the heating network in real time, and a virtual simulation system and industrial big data method are used to analyze the operation status of the heating network, so as to build an intelligent and refined operation management model that integrates information systems and physical systems.

[0018] As a preferred technical solution of the present application, in the step S1, a heating network simulation analysis model is established based on GIS geographic space information, and a logical connection relationship between heat sources, pipe networks, and heat users is established through graphic configuration.

[0019] As a preferred technical solution of the present application, the S1-S5 steps are based on the established simulation model to realize mechanism simulation calculation under the conditions of given heat source parameters and known parameters of heat flow, temperature and pressure of each heat user, so as to obtain the theoretical flow, flow velocity, temperature and pressure parameter distribution at various locations of the heating network.

[0020] As a preferred technical solution of the present application, the steps S1-S6 are combined with the pipe network graphic model to display the simulation calculation parameters, manually view the distribution status of various parameters, and support the pipe network to display the temperature and pressure parameters at various locations in a color gradient visualization manner.

[0021] As a preferred technical solution of the present application, the S1-S4 steps are based on the simulation model and operation status monitoring and analysis of the heating system to realize real-time simulation calculation and analysis of the steam flow status of the entire network and user steam parameters, realize soft measurement of the system operation status, operation energy consumption and heating quality analysis, and combine the topological structure diagram with the GIS map to display the pressure distribution map, temperature distribution map and flow velocity distribution map of the entire network, so that the operating personnel can grasp the fluid flow direction, flow velocity and stagnation and condensation location information in the pipeline network in real time, and quickly diagnose abnormal operating conditions of the heating network.

[0022] As a preferred technical solution of the present application, the S5-S10 steps realize real-time analysis of the safe operation of complex heating network systems on the basis of full network status monitoring and online simulation analysis, and realize alarm functions for various types of information, including flow sensor abnormal operation alarm, temperature and pressure abnormal alarm, load abnormal alarm, preliminary leakage alarm, and safety warning of steam pipeline condensation and water hammer. It can also intuitively display and remind operating personnel through the window GIS map, and the warning methods include at least page flashing warning, sound reminder, and mobile APP alarm.

[0023] As a preferred technical solution of the present application, in the step S6, a reporting system for the operation status of the heating network is established based on the monitoring data and soft measurement data of the heating network, which can support the automatic generation and one-click export of conventional reports and customized reports, and support the output of heating network pipe loss reports based on the heating network structure and simulation calculations.

[0024] As a preferred technical solution of the present application, the S4 step is based on user behavior analysis and historical operation data of the heating system, analyzes load influencing factors according to the steam usage characteristics of the heat users themselves, combines production cycles, process, and market conditions, and adopts big data analysis methods to establish a load forecasting model for heat users, predict the load development trend at future times, and then summarize the predicted trend of the total steam load.

[0025] Beneficial effects: Compared with the prior art, the present invention provides a 5G technology smart heating network construction method, which has the following beneficial effects: the 5G technology smart heating network construction method, based on 5G technology, configures a complete set of smart heating production management and operation scheduling platform system, the system adopts the Internet of Things sensing technology in accordance with the technical development trend of the smart energy industry, monitors the operation status of the heating network in real time, adopts the virtual simulation system and industrial big data method to analyze the operation status of the heating network, and constructs an intelligent and refined operation management system integrating the information system and the physical system. The system is based on the simulation model of the heating system and the operation status monitoring and analysis, which can realize the real-time simulation calculation and analysis of the steam flow status of the whole network and the user's steam parameters, and realize the soft measurement of the system operation status, operation energy consumption and heating quality analysis. Combined with the topological structure diagram or GIS map, the pressure distribution diagram, temperature distribution diagram and flow velocity distribution diagram of the whole network are displayed, so that the operating personnel can grasp the information such as the flow direction, flow velocity and stagnation condensation position of the fluid in the pipe network in real time, and quickly diagnose the abnormal working condition of the heating network. The whole smart heating network construction method has a simple structure, is easy to operate, and has a better effect than the traditional method. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] Figure 1 This is a schematic diagram of the overall process of a 5G technology smart heating network construction method of the present invention.

[0027] Figure 2 The present invention provides a simplified flowchart of a method for constructing a 5G-based smart heating network. DETAILED DESCRIPTION

[0028] The technical scheme of the present invention will be clearly and completely described below in conjunction with the accompanying drawings and specific embodiments, but it will be understood by those skilled in the art that the following described embodiments are part of embodiments of the present invention, rather than all embodiments, and are only used to illustrate the present invention, and should not be considered as limiting the scope of the present invention. Based on the embodiments in the present invention, all other embodiments obtained by those of ordinary skill in the art without making creative work are within the scope of protection of the present invention. If specific conditions are not specified in the embodiments, they are carried out according to normal conditions or conditions recommended by the manufacturer. If the manufacturer is not specified in the reagents or instruments used, they are all conventional products that can be purchased commercially.

[0029] In the description of the present invention, it should be noted that the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", etc., indicating the orientation or positional relationship, are based on the orientation or positional relationship shown in the drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as limiting the present invention. In addition, the terms "first", "second", and "third" are used for descriptive purposes only, and cannot be understood as indicating or implying relative importance.

[0030] In the description of the present invention, it should be noted that, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two components. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0031] like Figure 1 , 2 As shown, a 5G technology smart heating network construction method includes the following steps:

[0032] S1: Simulation modeling and analysis: Modeling is carried out based on the GIS geographic information environment, and 5G technology is used to provide production management and operation scheduling personnel with advanced professional analysis functions in an offline mode;

[0033] S2: Operation status monitoring: Using a WEB-based B / S architecture, monitor the pressure, temperature and flow at the heat user metering station and important locations along the heating pipeline network, and analyze the operation status of the heating network, including data cleaning and data verification functions;

[0034] S3: Real-time simulation of operation: Based on the simulation model, the operation status of the heating system is simulated in real time, and the safety and economy of the heating system operation are analyzed and simulated in real time in combination with the operation status monitoring data;

[0035] S4: Load forecasting and analysis: Based on big data, a steam heat network load forecasting model is established to realize the user load forecasting and analysis of the steam heat network. The system can draw a comparison curve between the predicted load and the actual load, and support the display and printing of the forecast result report;

[0036] S5: Comprehensive management: Through online real-time simulation, the system can realize real-time analysis of the operation safety of complex heating network systems, issue early warnings for water hammer danger points in the pipe network based on simulation calculation results, remind monitoring personnel to take precautions, process and centrally display important production information in the heating system, help operation and dispatch personnel understand the operation of the heating system in more detail, realize intelligent management, and realize permission setting, information management and background management;

[0037] S6: Report analysis: Based on the simulation model, the system outputs a network loss analysis report every day, clearly showing the steam supply, steam sales and network loss of each independent steam supply network;

[0038] S7: Operation and scheduling optimization: realize the optimal load distribution among multiple heat sources and optimize the decoupling of the pipeline network under different working conditions;

[0039] S8: Key user status monitoring: real-time monitoring of key users’ energy usage status, abnormal status feedback alarm;

[0040] S9: Smart heating network maintenance: fix bugs in the smart heating lean management platform, upgrade the functions of the corresponding version in real time, update the heating network data connection service, and ensure that all heating network data are connected to the heating network model;

[0041] S10: Plan formulation: Operation and scheduling is based on the simulation system's professional scheduling plan for thermal hydraulic systems, and operation and scheduling plans, heat source networking operation, decoupling operation plans and emergency conditions scheduling plans are formulated based on the simulation system.

[0042] Furthermore, in steps S1-S4, a pipe network structure mechanism model is established to achieve offline simulation and calculation of the steam flow state of the entire network and the steam parameters at the user.

[0043] Furthermore, in steps S1-S3, a smart heating production management and operation scheduling platform system is configured based on 5G technology, the Internet of Things sensing technology is used to monitor the operating status of the heating network in real time, and a virtual simulation system and industrial big data method are used to analyze the operating status of the heating network, to build an intelligent and refined operation management model that integrates information systems and physical systems.

[0044] Furthermore, in step S1, a heating network simulation analysis model is established based on GIS geographic space information, and a logical connection relationship among heat sources, pipe networks, and heat users is established through graphic configuration.

[0045] Furthermore, steps S1-S5 are based on the established simulation model to implement mechanism simulation calculations under given heat source parameters and known parameters of heat flow, temperature and pressure of each heat user, and obtain the theoretical flow, flow velocity, temperature and pressure parameter distribution at each location of the heating network.

[0046] Furthermore, steps S1-S6 are combined with the pipe network graphic model to display the simulation calculation parameters, manually view the distribution status of various parameters, and support the pipe network to use color gradient visualization to display the temperature and pressure parameters at various locations.

[0047] Furthermore, steps S1-S4 are based on the simulation model and operation status monitoring and analysis of the heating system to achieve real-time simulation calculation and analysis of the steam flow status of the entire network and user steam parameters, realize soft measurement of the system operation status, operation energy consumption and heating quality analysis, and combine the topological structure diagram with the GIS map to display the pressure distribution map, temperature distribution map and flow velocity distribution map of the entire network, so that the operating personnel can grasp the fluid flow direction, flow velocity and stagnation and condensation location information in the pipeline network in real time, and quickly diagnose abnormal operating conditions of the heating network.

[0048] Furthermore, steps S5-S10 realize real-time analysis of the operation safety of complex heating network systems based on the whole network status monitoring and online simulation analysis, and realize the alarm function of various information, including flow sensor operation abnormality alarm, temperature and pressure abnormality alarm, load abnormality alarm, preliminary leakage alarm, and steam pipe condensation retention water hammer safety warning. It can also intuitively display and remind operating personnel through the window GIS map. The warning methods include at least page flashing warning, sound reminder, and mobile APP alarm.

[0049] Furthermore, in step S6, a reporting system for the operation status of the heating network is established based on the monitoring data and soft measurement data of the heating network, which can support the automatic generation and one-click export of conventional reports and customized reports, and support the output of heating network pipe loss reports based on the heating network structure and simulation calculations.

[0050] Furthermore, step S4 is based on user behavior analysis and historical operation data of the heating system, analyzes load influencing factors according to the steam usage characteristics of the heat users themselves, combines production cycle, process, and market conditions, and uses big data analysis methods to establish a load forecasting model for heat users, predict the load development trend at future times, and then summarize the forecast trend of the total steam load.

[0051] Based on 5G technology, a complete set of smart heating production management and operation scheduling platform system is configured. The system should follow the technological development trend of the smart energy industry, adopt IoT sensing technology, monitor the operation status of the heating network in real time, use virtual simulation system and industrial big data methods to analyze the operation status of the heating network, and build an intelligent and refined operation management system that integrates information system and physical system.

[0052] By establishing a pipe network structure mechanism model, offline simulation and calculation of the steam flow state of the entire network and steam parameters at the user's location can be achieved.

[0053] The platform needs to be able to establish a geographic information system for the heating system based on the basic data of the heating network;

[0054] The system should establish a simulation analysis model of the heating network based on GIS geographic space information, establish the logical connection relationship between the heat source, the network, and the heat user through graphic configuration, and specifically describe the spatial location information, equipment structure, and parameter information of the heat source, pipeline, valve, compensator (how to realize displacement monitoring), and heat user;

[0055] The system supports visual interactive editing of models. The heating system simulation model can be created, modified, and the attribute parameters of each model object can be edited and viewed.

[0056] The system model view supports basic operations such as roaming, zooming, windowing, panning, and rotation, and has a thumbnail of the entire model;

[0057] Based on the established simulation model, the system can realize mechanism simulation calculation under the conditions of given heat source parameters and known parameters of heat flow, temperature and pressure of each heat user, and obtain the distribution of theoretical flow, flow velocity, temperature and pressure parameters at various locations in the heating network;

[0058] The system can display simulation calculation parameters in combination with the pipe network graphic model, manually check the distribution status of various parameters, and support the pipe network to display the temperature and pressure parameters at various locations in a color gradient visualization way;

[0059] It supports the simulation calculation of complex branched and ring-shaped pipe networks, and supports the simulation calculation of multi-heat source networking operation.

[0060] The system supports the analysis of planning, design, expansion and renovation plans for the heating network. It can simulate the impact of heating network changes under renovation and expansion needs such as new user access on the pipeline network and existing users by adjusting the topological structure and equipment parameters of the simulation model. It supports decision-making analysis for the renovation, expansion and equipment replacement of the heating pipeline network, and can then evaluate the priority of pipeline network renovation, optimize the allocation of pipeline network renovation investment, and "predict" the overall operating performance of the pipeline network under different technical schemes.

[0061] The system can integrate the key status parameters of the existing SCADA, DCS, metering monitoring and other systems of the heating system to realize functions such as data measurement, data transmission, data storage, data analysis and data display of the steam network.

[0062] The real-time database is used to manage the operating status parameters, which can store the system operating data reliably and long-term, support the communication of collected data, interface data and remote server database, and can quickly analyze, store and call data.

[0063] Based on the monitoring data of all lower-level heating pipeline network monitoring equipment, a WEB-based B / S system architecture is adopted, combined with GIS geographic information system maps to centrally display the temperature, pressure, flow and steam status data of key locations of the heating network and heat sources and heat users collected in real time by the heating system. The status of a single heating pipeline that requires attention can be displayed on the GIS map, and correlation analysis, trend analysis, and industrial big data query statistics are supported.

[0064] The system can display the real-time and historical parameters of heating data in the form of lists or curves.

[0065] The system can display the operating data including time series collected by the heating system, and use data cleaning and data verification functions to analyze and filter out invalid data.

[0066] The system supports docking with the data interface of the IoT sensing system equipment, and docking with the data interface of the existing SCADA, DCS, and metering and charging systems.

[0067] Based on the simulation model and operation status monitoring and analysis of the heating system, the system can realize the real-time simulation calculation and analysis of the steam flow status of the whole network and the user's steam parameters, and realize the soft measurement of the system operation status, operation energy consumption and heating quality analysis. Combined with the topological structure diagram or GIS map, it displays the pressure distribution diagram, temperature distribution diagram and flow velocity distribution diagram of the whole network, so that the operating personnel can grasp the information such as the flow direction, flow velocity and stagnation condensation position of the fluid in the pipeline network in real time, and quickly diagnose abnormal working conditions of the heating network.

[0068] By connecting with real-time data, online real-time simulation of the heating system can be realized;

[0069] The system can establish a topological diagram of the heating network and display the measurement and simulation parameters of the heating network operation in real time in the diagram;

[0070] The system can be combined with the heat network GIS map to publish and display the operating status of each part of the heat network system, including: steam flow direction, steam flow, steam flow rate, steam temperature, steam pressure, etc., to achieve comprehensive soft measurement of the operating status that complements equipment measurement and simulation soft measurement;

[0071] The system can display the report of heating status parameters of heat sources and heat users in the whole network, and can also display the parameter change trend of heat sources and heat users in the form of curves, and intuitively display the compliance of heat users, and conduct comparative analysis and display of related users;

[0072] The system supports comparative display and analysis of heating network simulation theoretical values ​​and actual measured values.

[0073] Based on the whole network status monitoring and online simulation analysis, the system realizes the real-time analysis of the operation safety of complex heating network systems and realizes the alarm function of various information, including flow sensor operation abnormality alarm, temperature and pressure abnormality alarm, load abnormality alarm, preliminary leakage alarm, steam pipe condensation retention water hammer safety warning, etc. It can also intuitively display and remind the operating personnel through the window GIS map. The warning methods include at least page flashing warning, sound reminder, and mobile APP alarm.

[0074] Based on user behavior analysis and historical operation data of the heating system, load influencing factors are analyzed according to the steam usage characteristics of heat users themselves. Combined with factors such as production cycle, process, market conditions, etc., a load forecasting model for heat users is established using big data analysis methods. The load development trend at future moments is predicted, and then the predicted trend of total steam load is summarized.

[0075] The system can establish short-term, medium-term and long-term load forecasting models based on a large amount of historical operating data of the heating system and related parameters affecting the load provided by the bidder, using big data analysis methods, and obtain the load development trends of key heating users and the entire heating system in the next few hours or days through the forecasting model.

[0076] The system can adaptively modify the load forecasting model by combining the load forecasting results with the measured load information to meet the load forecasting requirements under the conditions of heat metering or dynamic development of demand-side load.

[0077] The system can draw a comparison curve between predicted load and actual load.

[0078] It should be noted that, in this article, relational terms such as first and second (number one, number two), etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "including one..." do not exclude the existence of other identical elements in the process, method, article or device including the elements.

[0079] The above shows and describes the basic principles and main features of the present invention and the advantages of the present invention. It should be understood by those skilled in the art that the present invention is not limited by the above embodiments, and the above embodiments and descriptions are only for explaining the principles of the present invention. Without departing from the spirit and scope of the present invention, the present invention may have various changes and improvements, and these changes and improvements all fall within the scope of the present invention to be protected.

Claims

1. A method for constructing a 5G technology smart heating network, characterized in that: The steps include: S1: Simulation modeling and analysis: Modeling is carried out based on the GIS geographic information environment, and 5G technology is used to provide production management and operation scheduling personnel with advanced professional analysis functions in an offline mode; S2: Operation status monitoring: Using a WEB-based B / S architecture, monitor the pressure, temperature and flow at the heat user metering station and important locations along the heating pipeline network, and analyze the operation status of the heating network, including data cleaning and data verification functions; S3: Real-time simulation of operation: Based on the simulation model, the operation status of the heating system is simulated in real time, and the safety and economy of the heating system operation are analyzed and simulated in real time in combination with the operation status monitoring data; S4: Load forecasting and analysis: Based on big data, a steam heat network load forecasting model is established to realize the user load forecasting and analysis of the steam heat network. The system can draw a comparison curve between the predicted load and the actual load, and support the display and printing of the forecast result report; S5: Comprehensive management: Through online real-time simulation, the system can realize real-time analysis of the operation safety of complex heating network systems, issue early warnings for water hammer danger points in the pipe network based on simulation calculation results, remind monitoring personnel to take precautions, process and centrally display important production information in the heating system, help operation and dispatch personnel understand the operation of the heating system in more detail, realize intelligent management, and realize permission setting, information management and background management; S6: Report analysis: Based on the simulation model, the system outputs a network loss analysis report every day, clearly showing the steam supply, steam sales and network loss of each independent steam supply network; S7: Operation and scheduling optimization: realize the optimal load distribution among multiple heat sources and optimize the decoupling of the pipeline network under different working conditions; S8: Key user status monitoring: real-time monitoring of key users’ energy usage status, abnormal status feedback alarm; S9: Smart heating network maintenance: fix bugs in the smart heating lean management platform, upgrade the functions of the corresponding version in real time, update the heating network data connection service, and ensure that all heating network data are connected to the heating network model; S10: Plan formulation: Operation and scheduling is based on the simulation system's professional scheduling plan for thermal hydraulic systems, and operation and scheduling plans, heat source networking operation, decoupling operation plans and emergency conditions scheduling plans are formulated based on the simulation system.

2. A 5G technology smart heating network construction method according to claim 1, characterized in that: In the steps S1-S4, a pipe network structure mechanism model is established to achieve offline simulation calculation of the steam flow state of the entire network and steam parameters at the user.

3. A 5G technology smart heating network construction method according to claim 1, characterized in that: In the steps S1-S3, a smart heating production management and operation scheduling platform system is configured based on 5G technology, the Internet of Things sensing technology is used to monitor the operation status of the heating network in real time, and a virtual simulation system and industrial big data method are used to analyze the operation status of the heating network, so as to build an intelligent and refined operation management model that integrates information systems and physical systems.

4. A 5G technology smart heating network construction method according to claim 1, characterized in that: In the step S1, a heat supply network simulation analysis model is established based on GIS geographic space information, and a logical connection relationship among heat sources, pipe networks, and heat users is established through graphic configuration.

5. A 5G technology smart heating network construction method according to claim 1, characterized in that: The S1-S5 steps are based on the established simulation model to implement mechanism simulation calculations under the conditions of given heat source parameters and known parameters of heat flow, temperature and pressure of each heat user, and obtain the theoretical flow, flow velocity, temperature and pressure parameter distribution at various locations in the heating network.

6. A 5G technology smart heating network construction method according to claim 1, characterized in that: The steps S1-S6 are combined with the pipe network graphic model to display the simulation calculation parameters, manually check the distribution status of various parameters, and support the pipe network to display the temperature and pressure parameters at various locations in a color gradient visualization manner.

7. A 5G technology smart heating network construction method according to claim 1, characterized in that: The steps S1-S4 are based on the simulation model and operation status monitoring and analysis of the heating system to realize real-time simulation calculation and analysis of the steam flow status of the entire network and user steam parameters, realize soft measurement of the system operation status, operation energy consumption and heating quality analysis, and combine the topological structure diagram with the GIS map to display the pressure distribution diagram, temperature distribution diagram and flow velocity distribution diagram of the entire network, so that the operating personnel can grasp the fluid flow direction, flow velocity and stagnation and condensation location information in the pipeline network in real time, and quickly diagnose abnormal operating conditions of the heating network.

8. A 5G technology smart heating network construction method according to claim 1, characterized in that: The steps S5-S10, based on the whole network status monitoring and online simulation analysis, realize the real-time analysis of the operation safety of the complex heating network system, and realize the alarm function of various information, including the flow sensor abnormal operation alarm, temperature and pressure abnormal alarm, load abnormal alarm, preliminary leakage alarm, and steam pipe condensation retention water hammer safety warning, and can intuitively display and remind the operating personnel through the window GIS map. The warning methods at least include page flashing warning, sound reminder, and mobile APP alarm.

9. A 5G technology smart heating network construction method according to claim 1, characterized in that: In step S6, a report system for the operation status of the heating network is established based on the monitoring data and soft measurement data of the heating network, which can support the automatic generation and one-click export of conventional reports and customized reports, and support the output of heating network pipe loss reports based on the heating network structure and simulation calculations.

10. A 5G technology smart heating network construction method according to claim 1, characterized in that: The S4 step is based on user behavior analysis and historical operation data of the heating system, analyzes load influencing factors according to the steam usage characteristics of the heat users themselves, combines production cycles, process, market conditions, and adopts big data analysis methods to establish a load forecasting model for heat users, predicts the load development trend at future times, and then summarizes the forecast trend of the total steam load.

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