Operation state monitoring system based on 5G intelligent heat supply management

Abstract

The invention discloses an operation state monitoring system based on 5G intelligent heat supply management, and relates to the field of heat supply management systems. The system is characterized in that the main control unit comprises a state parameter integration unit, a state simulation analysis unit, an asset information management unit, a diagnosis analysis optimization unit, an inspection and defect management unit, a user behavior analysis unit, a comparison display and analysis unit and a prediction unit; the input end of the state parameter integration unit is electrically connected with the output end of the state simulation analysis unit, and the output ends of the state parameter integration unit and the state simulation analysis unit are electrically connected with the report generation unit. According to the operating state monitoring system based on 5G intelligent heat supply management, the operating state of a heat supply network can be monitored in real time, a virtual simulation system and an industrial big data method are adopted to analyze the operating state of the heat supply network, and an intelligent and refined operating management system integrating an information system and a physical system is constructed.

Description

Technical Field

[0001] The present invention relates to the field of heating management systems, and in particular to an operation status monitoring system based on 5G smart heating management. Background Art

[0002] Heating is mainly a warming measure for northern cities. At present, the main measure I have taken is centralized heating, which is to use centralized heat sources in a larger area to supply heat for production, life and heating to factories and civil buildings in the area.

[0003] When conducting heat supply management, most of the time it is impossible to monitor the operating status of the heat network in real time, resulting in a lot of time spent on troubleshooting and locating a fault after it occurs, making its emergency fault handling capability low, leading to higher pipe losses in the overall network.

[0004] Therefore, it is necessary to propose an operation status monitoring system based on 5G smart heating management to solve the above problems. Summary of the invention

[0005] The main purpose of the present invention is to provide an operation status monitoring system based on 5G smart heating management, which can effectively solve the problems in the background technology.

[0006] To achieve the above object, the technical solution adopted by the present invention is:

[0007] An operation status monitoring system based on 5G smart heating management, comprising a main control unit, wherein the main control unit comprises a state parameter integration unit, a state simulation analysis unit, an asset information management unit, a diagnosis analysis optimization unit, an inspection and defect management unit, a user behavior analysis unit, a comparison display and analysis unit, and a prediction unit;

[0008] The state parameter integration unit is used to integrate the key state parameters of the existing SCADA, DCS and metering monitoring systems of the heating system to achieve data measurement, data transmission, data storage, data analysis and data display of the steam network;

[0009] The state simulation analysis unit realizes the real-time simulation calculation and analysis of the steam flow state of the whole network and the user's steam parameters based on the simulation model and operation state monitoring analysis of the heating system, realizes the soft measurement of the system operation state, operation energy consumption and heating quality analysis, and displays the pressure distribution map, temperature distribution map and flow velocity distribution map of the whole network in combination with the topological structure map and GIS map, 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;

[0010] The comparison display and analysis unit is used to realize real-time analysis of the operation safety of complex heating network systems, and realize alarm functions of various information, including flow sensor abnormal operation alarm, temperature and pressure abnormal alarm, load abnormal alarm, preliminary leakage alarm, steam pipeline condensation retention water hammer safety warning, and can intuitively display and remind the operating personnel through the window GIS map, and the warning methods at least include page flashing warning, sound reminder, and mobile APP alarm;

[0011] The report generation unit establishes a report system for the operation status of the pipe network based on the data of the state parameter integration unit and the state simulation analysis unit, and can support the automatic generation and one-key export of conventional reports and customized reports, including the system supports the output of the heat network pipe loss report based on the heat network structure and simulation calculation; supports the customization of basic heat network data reports; supports the one-key export of various reports;

[0012] The user behavior analysis unit is used to reasonably predict the load demand of steam heat users. The system needs to set up a demand-side user behavior analysis function, including displaying in a table the heat users and their related operating data that have large deviations from the historical steam usage patterns under the current heat network operating conditions; generating the real-time steam usage patterns and cumulative steam usage patterns for each heat user; and checking the comparison curves of the actual steam usage and steam usage patterns of each heat user within the current or historical time range;

[0013] The prediction unit accurately predicts demand load based on user behavior analysis and big data algorithms;

[0014] The asset information management unit is used for closed-loop information management of the entire life cycle of the heating system operating equipment.

[0015] Preferably, the input end of the state parameter integration unit is electrically connected to the output end of the state simulation analysis unit, and the output ends of the state parameter integration unit and the state simulation analysis unit are electrically connected to the report generation unit.

[0016] Preferably, the comparison display and analysis unit includes an abnormal alarm module, the input end of the abnormal alarm module is electrically connected to the output end of the comparison module, and the comparison module is used to compare data of sensors, temperature and pressure, load, leakage, and condensation and retained water impact.

[0017] Preferably, the prediction unit includes a historical operation data query module, the input end of the historical operation data query module is electrically connected to the input end of the load prediction model building module, and the output end of the load prediction model building module is electrically connected to the input end of the comparison curve drawing module;

[0018] The historical operation data query module and the load prediction model building module are based on user behavior analysis and historical operation data of the heating system, analyze load influencing factors according to the steam usage characteristics of the heat users themselves, and use big data analysis methods to establish a load prediction model for heat users in combination with production cycles, process processes, and market conditions. The load development trend at future moments is predicted, and then the predicted trend of the total steam load is summarized to achieve a short-term, medium-term and long-term load prediction model based on a large amount of historical operation data of the heating system provided by the bidder and related parameters affecting the load. The prediction model is used to obtain the load development trend of key heat users and the entire heating system in the next few hours and days. The comparison curve drawing module draws the comparison curve based on the model built by the load prediction model building module.

[0019] Preferably, the state parameter integration unit includes a real-time database, and the output end of the real-time database is electrically connected to the input end of the data acquisition module and the communication module;

[0020] The real-time database is used to manage operating status parameters, to store system operating data, to support data collection, interface data and communication with remote server databases, and to quickly perform data analysis, storage and call. The monitoring data aggregation unit is based on the B / S system architecture of the WEB, and combines the GIS geographic information system map 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. It can display the status of a single heating pipeline that requires attention on the GIS map, and supports correlation analysis, trend analysis, and industrial big data query statistics. The data analysis and filtering module uses data cleaning and data verification functions to analyze and filter invalid data, so as to improve the data accuracy of the lists and curves displayed by the parameter display module.

[0021] Preferably, the state parameter integration unit also includes a monitoring data summary unit, and the monitoring data summary unit includes a GIS geographic information system diagram display module, the output end of the GIS geographic information system diagram display module is electrically connected to the input end of the state data display module, and the state data display module is used to display the state of the heating network location, temperature, pressure, flow steam, the output end of the monitoring data summary unit is electrically connected to the input end of the parameter display module, the input end of the parameter display module is electrically connected to the output end of the data analysis and filtering module, and the parameter display module is used to display the parameter support list and curve.

[0022] Preferably, the state simulation analysis unit includes a docking module, the output end of the docking module is electrically connected to the input end of the real-time simulation module, the output end of the real-time simulation module is electrically connected to the input end of the topology diagram establishment module, the output end of the topology diagram establishment module is electrically connected to the input end of the real-time display module, the real-time display module is used to display the steam flow direction, steam flow, steam flow rate, steam temperature and steam pressure in real time, the input end of the docking module is electrically connected to the output end of the report display module, and the output end of the report display module is electrically connected to the input end of the comparison analysis module;

[0023] The docking module is used to dock the data integrated by the state parameter integration unit, the state simulation analysis unit is used to realize the online real-time simulation of the heating system, the topology diagram establishment module is used to establish the topology diagram of the heating pipeline network, and display the heating network operation measurement and simulation parameters in real time in the diagram, the real-time display module is combined with the heating network GIS map to publish and display the operation status of various parts of the heating network system, specifically including: steam flow direction, steam flow, steam flow rate, steam temperature, steam pressure, etc., to realize the comprehensive soft measurement of the operation status that complements the equipment measurement and simulation soft measurement, the report display module is used for the report display of the heating state parameters of the whole network heat source and heat users, and intuitively displays the compliance of heat users, and the comparative analysis module is used to compare and analyze the relevant users.

[0024] Preferably, the asset information management unit includes an asset information uploading module, the output end of the asset information uploading module is electrically connected to the input end of the list management editing module, the output end of the list management editing module is electrically connected to the input end of the pipe network operation status display module, and the output end of the pipe network operation status display module is electrically connected to the input ends of the pipe network operation status display module, the defect uploading module and the information receiving module;

[0025] The asset information uploading module is used to upload the asset information of the current user, including but not limited to: pipelines, valves, drain pipes, compensators, steam traps, insulation layers. The information content should at least include: equipment model, specifications, manufacturer, commissioning time, maintenance time reminder function. The positioning search module is used to locate the assets currently required to be found, the defect uploading module is used to upload the defective assets found, and the information receiving module is used to receive information about the assets.

[0026] Preferably, the inspection and defect management unit implements operation management functions such as inspection management, defect reporting, and defect closed-loop based on the mobile APP and management platform, simplifies the operation management process, and improves work efficiency. Based on the GIS map, the inspection personnel can automatically record the inspection route and display the inspection record by holding the APP during the inspection; defects found during the inspection can be submitted by taking photos, recording in text, adding location, etc. through the APP; closed-loop management is provided for business links such as entry, discovery, classification, approval, elimination, and acceptance of the found equipment defects, and the system can also perform flexible query and statistical analysis on the defect records.

[0027] Preferably, the diagnosis analysis and optimization unit performs a simple calculation of the whole network management loss rate based on the source measurement outlet and user entrance parameters.

[0028] Compared with the prior art, the present invention provides an operation status monitoring system based on 5G smart heating management, which has the following beneficial effects:

[0029] The operation status monitoring system based on 5G smart heating management can 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. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] Figure 1 is a system block diagram of the main control unit of the present invention;

[0031] Figure 2 It is a system block diagram of the state parameter integration unit of the present invention;

[0032] Figure 3 It is a system block diagram of the state simulation analysis unit of the present invention;

[0033] Figure 4 It is a system block diagram of the asset information management unit of the present invention. DETAILED DESCRIPTION

[0034] In order to make the technical means, creative features, objectives and effects achieved by the present invention easy to understand, the present invention is further explained below in conjunction with specific implementation methods.

[0035] Embodiment 1:

[0036] like Figure 1-Figure 4 As shown, an operation status monitoring system based on 5G smart heating management includes a main control unit, which includes a status parameter integration unit, a status simulation analysis unit, an asset information management unit, a diagnosis analysis optimization unit, an inspection and defect management unit, a user behavior analysis unit, a comparison display and analysis unit, and a prediction unit;

[0037] The state parameter integration unit is used to integrate the key state parameters of the existing SCADA, DCS, and metering monitoring systems of the heating system to achieve data measurement, data transmission, data storage, data analysis, and data display of the steam network;

[0038] The state simulation analysis unit is based on the simulation model of the heating system and the operation status monitoring and analysis, realizing the real-time simulation calculation and analysis of the steam flow status of the whole network and the user's steam parameters, realizing the soft measurement of the system operation status, operation energy consumption and heating quality analysis, and combining the topological structure diagram and GIS map to display the pressure distribution diagram, temperature distribution diagram and flow velocity distribution diagram of the whole network, so that the operation 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 conditions of the heating network;

[0039] The comparison display and analysis unit is used to realize the real-time analysis of the operation safety of complex heating network systems, and realize the alarm function of various information, including flow sensor abnormal operation alarm, temperature and pressure abnormal alarm, load abnormal alarm, preliminary leakage alarm, steam pipeline condensation retention water hammer safety warning, and can 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;

[0040] The report generation unit establishes a report system for the operation status of the pipe network based on the data of the state parameter integration unit and the state simulation analysis unit. It can support the automatic generation and one-click export of conventional reports and customized reports. Based on the heat network structure and simulation calculation, the system supports the output of heat network pipe loss reports; supports the customization of basic heat network data reports; supports one-click export of various reports;

[0041] The user behavior analysis unit is used to reasonably predict the load demand of steam heat users. The system needs to set up the demand-side user behavior analysis function, including displaying the heat users and their related operating data under the current heat network operating conditions that deviate greatly from the historical steam usage pattern in a table form; generating the real-time steam usage pattern and cumulative steam usage pattern for each heat user; and checking the comparison curve of the actual steam usage and steam usage pattern of each heat user within the current or historical time range;

[0042] The prediction unit accurately predicts demand load based on user behavior analysis and big data algorithms;

[0043] The asset information management unit is used for closed-loop information management of the entire life cycle of the heating system operating equipment;

[0044] The input end of the state parameter integration unit is electrically connected to the output end of the state simulation analysis unit, the output ends of the state parameter integration unit and the state simulation analysis unit are electrically connected to the report generation unit, the comparison display and analysis unit includes an abnormal alarm module, the input end of the abnormal alarm module is electrically connected to the output end of the comparison module, and the comparison module is used to compare the data of sensors, temperature and pressure, load, leakage, and condensation and retained water impact.

[0045] Embodiment 2:

[0046] An operation status monitoring system based on 5G smart heating management, wherein the prediction unit includes a historical operation data query module, the input end of the historical operation data query module is electrically connected to the input end of the load prediction model building module, and the output end of the load prediction model building module is electrically connected to the input end of the comparison curve drawing module;

[0047] The historical operation data query module and the load forecasting model building module are based on user behavior analysis and historical operation data of the heating system. According to the steam consumption characteristics of the heat users themselves, the load influencing factors are analyzed. In combination with the production cycle, process, and market conditions, the big data analysis method is used to establish a load forecasting model for heat users, and the load development trend at future moments is predicted. Then, the predicted trend of the total steam load is summarized and used to implement a large amount of historical operation data of the heating system provided by the bidder and related parameters affecting the load. The big data analysis method is used to establish short-term, medium-term and long-term load forecasting models, and the load development trends of key heat users and the entire heating system in the next few hours and days are obtained through the forecasting model. The comparison curve drawing module draws the comparison curve based on the model built by the load forecasting model building module.

[0048] Embodiment three:

[0049] An operation status monitoring system based on 5G smart heating management, wherein the status parameter integration unit includes a real-time database, and the output end of the real-time database is electrically connected to the input end of the data acquisition module and the communication module;

[0050] The real-time database is used to manage the operating status parameters and store the system operation data. It supports the communication between the collected data, interface data and remote server database, and can quickly analyze, store and call the data. The monitoring data summary unit is based on the B / S system architecture of WEB. It combines the GIS geographic information system map to centrally display the temperature, pressure, flow and steam status data of the key locations of the heating network and the heat source and heat users collected in real time by the heating system. It can display the status of a single heating pipeline that needs to be paid attention to on the GIS map, and supports correlation analysis, trend analysis, and industrial big data query statistics. The data analysis and filtering module uses data cleaning and data verification functions to analyze and filter invalid data, which is used to improve the data accuracy of the lists and curves displayed by the parameter display module.

[0051] The status parameter integration unit also includes a monitoring data summary unit, which includes a GIS geographic information system diagram display module. The output end of the GIS geographic information system diagram display module is electrically connected to the input end of the status data display module. The status data display module is used to display the status of the heating network location, temperature, pressure, flow steam, the output end of the monitoring data summary unit is electrically connected to the input end of the parameter display module, the input end of the parameter display module is electrically connected to the output end of the data analysis and filtering module, and the parameter display module is used to display the parameter support list and curve.

[0052] Embodiment 4:

[0053] An operation status monitoring system based on 5G smart heating management, the status simulation analysis unit includes a docking module, the output end of the docking module is electrically connected to the input end of the real-time simulation module, the output end of the real-time simulation module is electrically connected to the input end of the topology diagram establishment module, the output end of the topology diagram establishment module is electrically connected to the input end of the real-time display module, the real-time display module is used to display the steam flow direction, steam flow, steam flow rate, steam temperature and steam pressure in real time, the input end of the docking module is electrically connected to the output end of the report display module, and the output end of the report display module is electrically connected to the input end of the comparison analysis module;

[0054] The docking module is used to dock the data integrated by the state parameter integration unit. The state simulation analysis unit is used to realize the online real-time simulation of the heating system. The topology diagram establishment module is used to establish the topology diagram of the heating pipeline network, and display the heating network operation measurement and simulation parameters in real time in the diagram. The real-time display module combines the heating network GIS map to publish and display the operating status of various parts of the heating network system, including: steam flow direction, steam flow, steam flow rate, steam temperature, steam pressure, etc., to realize comprehensive soft measurement of the operating status that complements equipment measurement and simulation soft measurement. The report display module is used for the report display of the heating status parameters of the heat source and heat users of the whole network, and intuitively displays the compliance of heat users. The comparative analysis module is used to conduct comparative analysis and display of relevant users.

[0055] Embodiment five:

[0056] An operation status monitoring system based on 5G smart heating management, the asset information management unit includes an asset information upload module, the output end of the asset information upload module is electrically connected to the input end of the list management editing module, the output end of the list management editing module is electrically connected to the input end of the pipe network operation status display module, the output end of the pipe network operation status display module is electrically connected to the input end of the pipe network operation status display module, the defect upload module and the information receiving module;

[0057] The asset information upload module is used to upload the asset information of the current user, including but not limited to: pipelines, valves, drain pipes, compensators, steam traps, insulation layers. The information content should at least include: equipment model, specifications, manufacturer, commissioning time, maintenance time reminder function. The positioning search module is used to locate the assets that need to be found at present. The defect upload module is used to upload the defective assets found. The information receiving module is used to receive information about the assets.

[0058] The inspection and defect management unit implements inspection management, defect reporting, defect closed-loop and other operational management functions based on the mobile APP and management platform, which simplifies the operational management process and improves work efficiency. Based on the GIS map, the inspection personnel can automatically record the inspection route and display the inspection record by holding the APP during the inspection; defects found during the inspection can be submitted through the APP by taking photos, recording in text, adding positioning, etc.; closed-loop management is provided for the business links such as entry, discovery, classification, approval, elimination, and acceptance of the equipment defects found, and the system can also perform flexible query and statistical analysis on the defect records.

[0059] The diagnostic analysis and optimization unit performs a simple calculation of the total network management loss rate based on the source measurement outlet and user entrance parameters.

[0060] It should be noted that the present invention is an operation status monitoring system based on 5G smart heating management. When used, it integrates the key status parameters of the existing SCADA, DCS, and metering monitoring systems of the heating system, and has functions such as data measurement, data transmission, data storage, data analysis, and data display for the steam network, including:

[0061] The real-time database is used to manage the operating status parameters, which can store the system operating data reliably for a long time, support the communication between the collected data, interface data and the remote server database, and can quickly analyze, store and call the data;

[0062] Based on the monitoring data of all lower-level heating network monitoring equipment, the B / S system architecture based on WEB is adopted, and 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 are displayed in a centralized manner in combination with the GIS geographic information system map. The status of a single heating pipeline that needs attention can be displayed on the GIS map, and correlation analysis, trend analysis, and industrial big data query statistics are supported;

[0063] The real-time and historical parameters of heating data can be displayed in the form of lists or curves;

[0064] Display the operation data including time series collected by the heating system, and use data cleaning and data verification functions to analyze and filter invalid data;

[0065] Based on the simulation model and operation status monitoring and analysis of the heating system, the system realizes real-time simulation calculation and analysis of the steam flow status of the whole network and user steam parameters, realizes soft measurement of the system operation status, operation energy consumption and heating quality analysis, and combines with topological structure diagram or GIS map to display the pressure distribution map, temperature distribution map and flow velocity distribution map of the whole 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.

[0066] By connecting with real-time data, online real-time simulation of the heating system can be realized;

[0067] The topological structure diagram of the heating network can be established, and the operation measurement and simulation parameters of the heating network can be displayed in real time in the diagram;

[0068] Combined with the heat network GIS map, it can display the operating status of each part of the heat network system, including steam flow direction, steam flow rate, 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;

[0069] It can realize the report display of the heating status parameters of the heat sources and heat users of the whole network, and can also display the parameter change trend of the heat sources and heat users in the form of curves, and intuitively display the compliance status of heat users, and conduct comparative analysis and display of related users;

[0070] The system supports comparative display and analysis of theoretical values ​​of heating network simulation and actual measured values;

[0071] 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 abnormal operation alarm, temperature and pressure abnormal alarm, load abnormal alarm, preliminary leakage alarm, and steam pipe condensation retention water hammer safety warning. 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, mobile APP alarm, etc.

[0072] According to the monitoring data and soft measurement data of the heating network, a reporting system for the operation status of the network is established, which can support the automatic generation and one-click export of conventional and customized reports;

[0073] Based on the heat network structure and simulation calculation, the system supports the output of heat network pipe loss report;

[0074] Support customization of basic heating network data reports;

[0075] Supports one-click export of various reports.

[0076] Steam heat users in industrial parks are mainly production-oriented enterprises in the chemical, food, pharmaceutical, textile and other industries. The steam load demand mainly depends on the production status of the enterprise, and is therefore affected by many factors such as industry development and the development of the enterprise itself. Therefore, in order to more reasonably predict the load demand of steam heat users, the system needs to set up a demand-side user behavior analysis function;

[0077] Ability to display in tabular form the heat users and their related operating data that have large deviations from historical steam usage patterns under the current heat network operating conditions;

[0078] Ability to generate real-time steam usage patterns and cumulative steam usage patterns for each heat user;

[0079] Ability to view the actual steam usage and steam usage pattern comparison curves of each heat user within the current or historical time range.

[0080] Based on user behavior analysis and historical operation data of the heating system, load influencing factors are analyzed according to the steam consumption 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 to predict the load development trend at future moments, and then summarize the forecast trend of total steam load;

[0081] The system can establish short-term, medium-term and long-term load forecasting models based on a large amount of historical operation 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 trend of key heating users and the entire heating system within the next few hours or days through the forecasting model;

[0082] 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;

[0083] The system can draw a comparison curve between the predicted load and the actual load;

[0084] The system supports the display and printing of user load forecast reports and supports the planning of heat source production departments

[0085] The system provides closed-loop information management for the entire life cycle of heating system operating equipment, which should mainly include:

[0086] Manage equipment asset information based on GIS maps and heating system simulation models, and realize the correlation between system models from GIS map pages to equipment attribute pages;

[0087] The heating network equipment mainly includes: pipelines, valves, drain pipes, compensators, steam traps, and insulation layers. The information content should at least include: equipment model, specifications, manufacturer, commissioning time, and maintenance time reminder function;

[0088] It is necessary to support list management of all device attributes, and support editing, querying, classification, and statistics of basic device information.

[0089] The system can realize operation management functions such as inspection management, defect reporting, defect closed loop, etc. based on mobile APP and management platform, simplify the operation management process and improve work efficiency:

[0090] Based on GIS maps, inspectors can use the handheld APP to automatically record inspection routes and display inspection records;

[0091] Defects found during the inspection can be reported by taking photos, recording text, adding locations, etc. through the APP;

[0092] The system provides closed-loop management for business links such as entry, discovery, classification, approval, elimination, and acceptance of equipment defects. It can also conduct flexible query and statistical analysis of defect records.

[0093] 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 to the above embodiments. 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, which fall within the scope of the present invention to be protected. The scope of protection of the present invention is defined by the attached claims and their equivalents.

Claims

1. An operation status monitoring system based on 5G smart heating management, including a main control unit, characterized in that: The main control unit includes a state parameter integration unit, a state simulation analysis unit, an asset information management unit, a diagnosis analysis optimization unit, an inspection and defect management unit, a user behavior analysis unit, a comparison display and analysis unit and a prediction unit; The state parameter integration unit is used to integrate the key state parameters of the existing SCADA, DCS and metering monitoring systems of the heating system to achieve data measurement, data transmission, data storage, data analysis and data display of the steam network; The state simulation analysis unit realizes the real-time simulation calculation and analysis of the steam flow state of the whole network and the user's steam parameters based on the simulation model and operation state monitoring analysis of the heating system, realizes the soft measurement of the system operation state, operation energy consumption and heating quality analysis, and displays the pressure distribution map, temperature distribution map and flow velocity distribution map of the whole network in combination with the topological structure map and GIS map, 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 comparison display and analysis unit is used to realize real-time analysis of the operation safety of complex heating network systems, and realize alarm functions of various information, including flow sensor abnormal operation alarm, temperature and pressure abnormal alarm, load abnormal alarm, preliminary leakage alarm, steam pipeline condensation retention water hammer safety warning, and can intuitively display and remind the operating personnel through the window GIS map, and the warning methods at least include page flashing warning, sound reminder, and mobile APP alarm; The report generation unit establishes a report system for the operation status of the pipe network based on the data of the state parameter integration unit and the state simulation analysis unit, and can support the automatic generation and one-key export of conventional reports and customized reports, including the system supports the output of the heat network pipe loss report based on the heat network structure and simulation calculation; Support customization of basic heating network data reports; Support one-click export of various reports; The user behavior analysis unit is used to reasonably predict the load demand of steam heat users. The system needs to set up a demand-side user behavior analysis function, including displaying in a table the heat users and their related operating data that have large deviations from the historical steam usage patterns under the current heat network operating conditions; generating the real-time steam usage patterns and cumulative steam usage patterns for each heat user; and checking the comparison curves of the actual steam usage and steam usage patterns of each heat user within the current or historical time range; The prediction unit accurately predicts demand load based on user behavior analysis and big data algorithms; The asset information management unit is used for closed-loop information management of the entire life cycle of the heating system operating equipment.

2. According to claim 1, an operation status monitoring system based on 5G smart heating management is characterized in that: The input end of the state parameter integration unit is electrically connected to the output end of the state simulation analysis unit, and the output ends of the state parameter integration unit and the state simulation analysis unit are electrically connected to the report generation unit.

3. According to claim 1, an operation status monitoring system based on 5G smart heating management is characterized in that: The comparison display and analysis unit includes an abnormal alarm module, the input end of the abnormal alarm module is electrically connected to the output end of the comparison module, and the comparison module is used to compare the data of sensors, temperature and pressure, load, leakage, and condensation and retained water impact.

4. According to claim 1, an operation status monitoring system based on 5G smart heating management is characterized in that: The prediction unit includes a historical operation data query module, the input end of the historical operation data query module is electrically connected to the input end of the load prediction model building module, and the output end of the load prediction model building module is electrically connected to the input end of the comparison curve drawing module; The historical operation data query module and the load prediction model building module are based on user behavior analysis and historical operation data of the heating system, analyze load influencing factors according to the steam usage characteristics of the heat users themselves, and use big data analysis methods to establish a load prediction model for heat users in combination with production cycles, process processes, and market conditions. The load development trend at future moments is predicted, and then the predicted trend of the total steam load is summarized to achieve a short-term, medium-term and long-term load prediction model based on a large amount of historical operation data of the heating system provided by the bidder and related parameters affecting the load. The prediction model is used to obtain the load development trend of key heat users and the entire heating system in the next few hours and days. The comparison curve drawing module draws the comparison curve based on the model built by the load prediction model building module.

5. According to claim 1, an operation status monitoring system based on 5G smart heating management is characterized in that: The state parameter integration unit includes a real-time database, and the output end of the real-time database is electrically connected to the input end of the data acquisition module and the communication module; The real-time database is used to manage operating status parameters, to store system operating data, to support data collection, interface data and communication with remote server databases, and to quickly perform data analysis, storage and call. The monitoring data aggregation unit is based on the B / S system architecture of the WEB, and combines the GIS geographic information system map 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. It can display the status of a single heating pipeline that requires attention on the GIS map, and supports correlation analysis, trend analysis, and industrial big data query statistics. The data analysis and filtering module uses data cleaning and data verification functions to analyze and filter invalid data, so as to improve the data accuracy of the lists and curves displayed by the parameter display module.

6. The operating status monitoring system based on 5G smart heating management according to claim 5 is characterized in that: The state parameter integration unit also includes a monitoring data summary unit, which includes a GIS geographic information system diagram display module. The output end of the GIS geographic information system diagram display module is electrically connected to the input end of a state data display module. The state data display module is used to display the state of the heating network location, temperature, pressure, and flow steam. The output end of the monitoring data summary unit is electrically connected to the input end of a parameter display module. The input end of the parameter display module is electrically connected to the output end of a data analysis and filtering module. The parameter display module is used to display parameter support lists and curves.

7. The operating status monitoring system based on 5G smart heating management according to claim 1 is characterized in that: The state simulation analysis unit includes a docking module, the output end of the docking module is electrically connected to the input end of the real-time simulation module, the output end of the real-time simulation module is electrically connected to the input end of the topology diagram establishment module, the output end of the topology diagram establishment module is electrically connected to the input end of the real-time display module, the real-time display module is used to display the steam flow direction, steam flow, steam flow rate, steam temperature and steam pressure in real time, the input end of the docking module is electrically connected to the output end of the report display module, and the output end of the report display module is electrically connected to the input end of the comparison analysis module; The docking module is used to dock the data integrated by the state parameter integration unit, the state simulation analysis unit is used to realize the online real-time simulation of the heating system, the topology diagram establishment module is used to establish the topology diagram of the heating pipeline network, and display the heating network operation measurement and simulation parameters in real time in the diagram, the real-time display module is combined with the heating network GIS map to publish and display the operation status of various parts of the heating network system, specifically including: steam flow direction, steam flow, steam flow rate, steam temperature, steam pressure, etc., to realize the comprehensive soft measurement of the operation status that complements the equipment measurement and simulation soft measurement, the report display module is used for the report display of the heating state parameters of the whole network heat source and heat users, and intuitively displays the compliance of heat users, and the comparative analysis module is used to compare and analyze the relevant users.

8. The operating status monitoring system based on 5G smart heating management according to claim 1 is characterized in that: The asset information management unit includes an asset information uploading module, the output end of the asset information uploading module is electrically connected to the input end of the list management editing module, the output end of the list management editing module is electrically connected to the input end of the pipe network operation status display module, and the output end of the pipe network operation status display module is electrically connected to the input ends of the pipe network operation status display module, the defect uploading module and the information receiving module; The asset information uploading module is used to upload the asset information of the current user, including but not limited to: pipelines, valves, drain pipes, compensators, steam traps, insulation layers. The information content should at least include: equipment model, specifications, manufacturer, commissioning time, maintenance time reminder function. The positioning search module is used to locate the assets currently required to be found, the defect uploading module is used to upload the defective assets found, and the information receiving module is used to receive information about the assets.

9. The operating status monitoring system based on 5G smart heating management according to claim 1 is characterized in that: The inspection and defect management unit realizes inspection management, defect reporting, defect closed loop and other operation management functions based on the mobile APP and management platform, simplifies the operation management process, improves work efficiency, and based on the GIS map, the inspection personnel can automatically record the inspection route and display the inspection record by holding the APP during the inspection; Defects found during the inspection process can be submitted through taking photos, text records, adding locations, etc. through the APP; closed-loop management is provided for business links such as entry, discovery, classification, approval, elimination, and acceptance of equipment defects. The system can also perform flexible query and statistical analysis on defect records.

10. The operating status monitoring system based on 5G smart heating management according to claim 1 is characterized in that: The diagnosis analysis and optimization unit performs a simple calculation of the whole network management loss rate based on the source measurement outlet and user entrance parameters.

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