Equipment management and control platform under geographic information

Abstract

The invention relates to the technical field of heat supply management, and discloses an equipment management and control platform under geographic information, which comprises an intelligent heat supply comprehensive management platform, the intelligent heat supply comprehensive management platform comprises a data acquisition module, a scheduling monitoring module, a production management module, an equipment management module, a space positioning enhancement module, an energy consumption management module and a meteorological linkage module, and is an integrated and matched management platform of the heat supply system; when the system is used, Beidou and LoRaWAN hybrid positioning is adopted through the space positioning enhancement module, centimeter-level three-dimensional coordinate calibration is provided in a GNSS signal shielding area such as an underground pipe gallery, and therefore after a pipe explosion accident occurs, the system can be used for processing the request data sent by the modules and controlling the corresponding modules to execute corresponding actions. And the position of a pipe explosion accident can be quickly positioned, so that the quick maintenance of a pipe explosion accident area is realized, and the loss is reduced to the greatest extent.

Description

Technical Field

[0001] The present invention relates to the technical field of heat supply management, and in particular to an equipment management and control platform under geographic information. Background Art

[0002] The heating system mainly consists of four parts: heat source, heating pipeline network, heat exchange station (or heat conversion facility) and user terminal. The heat source is responsible for heat energy production, the pipeline network is responsible for transportation, the heat exchange station adjusts heat distribution, and the user terminal realizes heat energy utilization. The urban heating system consists of three parts: heat source, heat network and heat user. The urban heating system is a heating network that uses centralized heat sources to supply heat energy for production or life to heat energy users through heating pipeline networks and other facilities. The types of heat sources for urban heating in my country include thermal power plants, centralized boiler rooms, decentralized boiler rooms, industrial waste heat, nuclear energy, geothermal energy, etc.

[0003] With the continuous expansion of urban areas and the increasing complexity of heating pipe networks, traditional equipment management and control methods face numerous challenges. These include untimely monitoring of equipment operating status, extensive energy consumption management, insufficient spatial positioning accuracy, and a lack of forward-looking control strategies to cope with weather changes. These issues lead to low heating efficiency and severe energy waste, while also increasing the difficulty of equipment maintenance and management.

[0004] Most existing heating management systems have a single function and lack integrated management, making it difficult to achieve comprehensive, accurate and intelligent control of the heating system. For example, although some systems have data collection functions, they are unable to effectively combine the collected data with geographic information, resulting in inaccurate equipment positioning and difficulty in intuitively displaying the spatial distribution and operating status of the equipment; other systems, although capable of energy consumption monitoring, lack linkage with meteorological data and are unable to optimize heating strategies in advance according to weather changes, resulting in unstable heating quality.

[0005] To this end, we proposed a device management and control platform based on geographic information. Summary of the Invention

[0006] In view of the deficiencies in the prior art, the present invention provides a device management and control platform based on geographic information, which solves the problems in the above-mentioned background technology.

[0007] To achieve the above objectives, the present invention provides the following technical solutions: a geographic information-based equipment management and control platform, including a smart heating integrated management platform, wherein the smart heating integrated management platform includes a data acquisition module, a scheduling and monitoring module, a production management module, an equipment management module, a spatial positioning enhancement module, an energy consumption management module, and a meteorological linkage module;

[0008] The smart heating integrated management platform is an integrated and supporting management platform for the heating system, which is used to process the request data sent by each module and control the corresponding module to perform corresponding actions;

[0009] The data acquisition module is used to monitor and collect various data parameters in the heating system;

[0010] The scheduling and monitoring module is used to display the equipment operation status in three dimensions through a three-dimensional process flow chart using the parameters collected by the data acquisition module;

[0011] The production management module is used to help managers display the overall network operation through the web and mobile apps, including key indicators such as energy consumption ranking and heating quality, to assist managers in making quick decisions;

[0012] The equipment management module is used to record and query various parameters of pipeline equipment;

[0013] The spatial positioning enhancement module is used to improve the spatial positioning capability of the smart heating integrated management platform for various devices in the heating system;

[0014] The energy consumption management module is used to monitor various energy consumptions in the heating system;

[0015] The meteorological linkage module is used to combine historical data with weather forecasts to predict heating demand in advance and optimize heating capacity control strategies.

[0016] As a further technical solution of the present invention, the data acquisition module includes monitoring of the water temperature, water pressure and flow of the heating system, and through compatibility with mainstream PLC equipment, real-time collection of operating parameters of the heat source, heat exchange station and secondary network.

[0017] As a further technical solution of the present invention, the equipment management module can record the pipe material, service life and corrosion rate of the pipes in the heating system to remind management personnel to repair and replace the pipes that need to be replaced in time to reduce the occurrence of safety accidents.

[0018] As a further technical solution of the present invention, the spatial positioning enhancement module adopts Beidou and LoRaWAN hybrid positioning to provide centimeter-level three-dimensional coordinate calibration in GNSS signal-blocked areas such as underground pipelines.

[0019] As a further technical solution of the present invention, the energy consumption management module includes a real-time energy consumption tracking module and an early warning module. The real-time energy consumption tracking module compares the planned and actual energy consumption, dynamically optimizes the heating strategy to reduce energy consumption, and the early warning module quickly locates pipeline leakage through water replenishment monitoring, thereby reducing non-technical losses in the heating system.

[0020] As a further technical solution of the present invention, the scheduling and monitoring module can automatically generate daily, monthly and quarterly reports, support multi-dimensional statistics by site and region, and display the heat and electricity consumption of heat exchange stations with higher energy consumption. At the same time, the scheduling and monitoring module connects to the user's room temperature data and payment system to accurately identify abnormal heat usage behavior.

[0021] As a further technical solution of the present invention, the meteorological linkage module includes a multi-source data docking module and a load forecasting module. The multi-source data docking module is used to connect the real-time weather conditions, urban forecasts and disaster warning data of the meteorological department to the smart heating comprehensive management platform, and synchronously match the heat source scheduling, pipeline pressure, user room temperature and other parameters of the heating system, construct a heating meteorological index model, and incorporate factors such as wind speed, humidity, solar radiation, etc. into the heat load prediction algorithm to improve the control accuracy.

[0022] As a further technical solution of the present invention, the equipment management module can establish an equipment ledger, support pipeline equipment QR code scanning query, and formulate a periodic calibration plan, automatically push tasks to the responsible person, and reduce the accident rate.

[0023] The present invention provides a device management and control platform based on geographic information, which has the following beneficial effects:

[0024] 1. A geographic information-based equipment management and control platform, through the collaborative work of the smart heating integrated management platform and various modules, realizes comprehensive, accurate and intelligent management and control of the heating system, changes the shortcomings of traditional heating management methods, improves heating efficiency, reduces energy consumption, and provides strong guarantees for the safe, stable and economical operation of urban heating systems. In addition, when in use, the spatial positioning enhancement module adopts Beidou and LoRaWAN hybrid positioning, providing centimeter-level three-dimensional coordinate calibration in GNSS signal-blocked areas such as underground pipe corridors. Therefore, after a pipe burst accident occurs, the location of the pipe burst can be quickly located, thereby realizing rapid repair of the pipe burst area and minimizing losses.

[0025] 2. A geographic information-based equipment management and control platform, which connects the meteorological department's real-time weather conditions, urban forecasts, and disaster warning data to the smart heating integrated management platform, and synchronously matches the heat source scheduling, pipe network pressure, user room temperature and other parameters of the heating system, to build a heating meteorological index model, so that the smart heating integrated management platform can combine historical data with weather forecasts to predict heating demand in advance and optimize heating capacity control strategies. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] Figure 1 This is the system framework diagram of the present invention

[0027] Figure 2 It is the system principle diagram of the present invention; DETAILED DESCRIPTION

[0028] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0029] like Figure 1-2 As shown, a geographic information-based equipment management and control platform includes a smart heating integrated management platform, which is deployed in a cloud server cluster. The smart heating integrated management platform includes a data acquisition module, a scheduling and monitoring module, a production management module, an equipment management module, a spatial positioning enhancement module, an energy consumption management module, and a meteorological linkage module.

[0030] The smart heating comprehensive management platform is an integrated and supporting management platform for the heating system. It is used to process the request data sent by each module and control the corresponding modules to perform corresponding actions. As the core of the entire system, the smart heating comprehensive management platform is deployed on a cloud server cluster and adopts a distributed computing architecture. It can efficiently process the massive data sent by each module.

[0031] In addition, the platform's operating interface is accessed through a web browser. Managers can log in to the platform anytime and anywhere through computers, tablets, mobile phones and other terminal devices to check the operating status of the heating system and perform management operations.

[0032] The core processing flow of the platform is as follows:

[0033] After the data acquisition module transmits the real-time collected operating parameters such as water temperature, water pressure, and flow to the platform, the platform first cleans, filters, and standardizes the data to remove abnormal data and noise interference;

[0034] The platform then analyzes and processes the data based on pre-set rules and algorithms, such as determining whether the equipment is operating normally, calculating energy consumption indicators, and predicting heat load.

[0035] Finally, based on the analysis results, the platform sends control instructions to the corresponding modules to achieve intelligent regulation of the heating system.

[0036] Furthermore, the data acquisition module is used to monitor and collect various data parameters in the heating system. The data acquisition module includes monitoring of the water temperature, water pressure and flow of the heating system. Through compatible mainstream PLC devices, that is, through edge computing nodes and sensor networks compatible with Modbus / OPCUA protocols, the module collects water temperature, water pressure and flow parameters of the heat source plant, heat exchange station and secondary network in real time.

[0037] In specific implementation, the data acquisition module is deployed as follows: intelligent instruments such as temperature sensors, pressure sensors, and flow sensors are installed on key equipment such as boilers and turbines in the heat source plant to monitor the production parameters of the heat source in real time; PLC control cabinets are installed in each heat exchange station to collect parameters such as the inlet and outlet temperature, pressure, and flow of the heat exchanger, and the operating status of the circulating water pump through the PLC equipment; ultrasonic flow meters, pressure transmitters and other equipment are installed on the main and branch pipes of the secondary network to monitor the flow and pressure distribution of the pipeline network.

[0038] Secondly, the data acquisition terminal uses edge computing nodes with data acquisition, preprocessing, caching and communication functions. The edge computing nodes communicate with on-site smart meters and PLC devices through communication protocols such as Modbus and OPC UA. After collecting data, local preprocessing such as data filtering and outlier detection is performed. The processed data is then transmitted to the smart heating integrated management platform via 4G / 5G wireless networks. For areas with weak signals such as underground pipe corridors, LoRa wireless communication technology is used for data transmission to ensure the stability and reliability of data acquisition.

[0039] The scheduling and monitoring module uses a three-dimensional process flow chart to display the equipment's operating status using various parameters collected by the data acquisition module. The production management module helps managers display a panoramic view of the entire network through the web and mobile apps, including key indicators such as energy consumption ranking and heating quality, to assist managers in making quick decisions.

[0040] Furthermore, the three-dimensional process flow chart of the scheduling and monitoring module is developed based on the Unity3D game engine, and combined with the GIS geographic information system, a three-dimensional visualization model of the heating system is constructed.

[0041] In the 3D model, heat source plants, heat exchange stations, pipeline networks and other equipment are accurately modeled according to their actual geographic locations and spatial layouts. The color and status of the equipment change dynamically based on real-time operating parameters. For example, when the equipment temperature exceeds the set threshold, the equipment model will be displayed in red to alert management personnel.

[0042] Managers can use the mouse and keyboard to roam, zoom, rotate, and other operations in the 3D scene to view the operating status of the equipment from different angles. At the same time, the module provides a real-time data query function. Managers only need to click on the equipment in the 3D model to view the detailed operating parameters and historical data curves of the equipment.

[0043] In addition, the scheduling and monitoring module can automatically generate daily, monthly, and quarterly reports, and supports multi-dimensional statistics by site and region. It can also display the heat and electricity consumption of heat exchange stations with higher energy consumption. At the same time, the scheduling and monitoring module connects to user room temperature data and payment systems to accurately identify abnormal heat usage behavior and reduce the occurrence of safety accidents.

[0044] Specifically, this application uses a scheduled task mechanism to generate daily, monthly, and quarterly reports at dawn, the beginning of each month, and the beginning of each quarter. These reports include energy consumption data, heating quality indicators, and equipment operating efficiency for each site, and can be exported to formats such as Excel and PDF. Heat exchange stations with high energy consumption are automatically flagged and provided with detailed heat and electricity usage analysis reports, helping managers identify the causes of high energy consumption and develop energy-saving measures.

[0045] Furthermore, the equipment management module is used to record and query various parameters of pipeline equipment. The equipment management module can record the pipe material, service life and corrosion rate of the pipes in the heating system to remind management personnel to repair and replace the pipes in need in a timely manner;

[0046] Furthermore, the equipment management module's equipment ledger uses a relational database design, containing fields such as basic equipment information, technical parameters, installation location, and maintenance records. Each pipeline equipment is affixed with a unique QR code label containing basic equipment information and a QR code identification code. Managers can quickly query detailed equipment information and historical maintenance records by scanning the QR code through a mobile app.

[0047] Furthermore, the development of periodic inspection plans is based on factors such as the equipment's service life, frequency of use, and maintenance requirements. For example, for heating pipes, a comprehensive inspection is scheduled every 1-2 years based on their material and corrosion rate; for valves, lubrication and sealing performance tests are scheduled every six months. When the inspection plan expires, the module automatically sends a task notification to the relevant responsible person, reminding them to conduct timely equipment inspection and maintenance.

[0048] In addition, the equipment corrosion rate is calculated using a prediction model based on machine learning. The model input parameters include pipeline material, medium temperature, pH value, oxygen content, etc. By learning and training historical corrosion data, it can accurately predict the corrosion rate and remaining service life of the pipeline. When the remaining service life of the pipeline is predicted to be lower than the set threshold, the module will issue a replacement warning to remind managers to arrange pipeline replacement in time to avoid safety accidents.

[0049] The spatial positioning enhancement module is used to improve the spatial positioning capability of the smart heating integrated management platform for various equipment in the heating system. At the same time, the spatial positioning enhancement module adopts Beidou and LoRaWAN hybrid positioning to provide centimeter-level three-dimensional coordinate calibration in GNSS signal-blocked areas such as underground pipe corridors. Therefore, after a pipe burst accident occurs, the location of the pipe burst accident can be quickly located, thereby achieving rapid repair of the pipe burst accident area and minimizing losses. In addition, the equipment management module can establish an equipment ledger, support pipeline equipment QR code scanning query, and formulate periodic calibration plans, automatically push tasks to responsible persons, and prevent accidents in advance to reduce the accident rate.

[0050] Furthermore, the BeiDou and LoRaWAN hybrid positioning system of the spatial positioning enhancement module consists of a BeiDou satellite receiver, a LoRaWAN base station, a positioning tag, and a positioning engine;

[0051] In open outdoor areas, the positioning tag receives Beidou satellite signals to achieve meter-level positioning accuracy. In areas where GNSS signals are blocked, such as underground pipeline corridors and inside buildings, the positioning tag communicates with the LoRaWAN base station and uses positioning algorithms such as RSSI (Received Signal Strength Indicator) and TOA (Time of Arrival) to achieve centimeter-level three-dimensional coordinate calibration.

[0052] For example, TOA positioning algorithms include:

[0053] Step 1: Use the positioning tag to send LoRa signals to at least 3 base stations;

[0054] Step 2: Record the arrival time of the signal recorded by each base station as t1, t2, t3;

[0055] Step 3: Calculate the delay difference ΔT 12 =t1-t2,ΔT 13 =t1-t3;

[0056] Step 4: Then calculate the three-dimensional coordinates of the tag using the hyperbola positioning equation.

[0057] It should be added that positioning tags are installed on heating pipes, valves, meters and other equipment to send the location information of the equipment in real time. The positioning engine is deployed on the smart heating integrated management platform to receive the location information sent by the positioning tags and combine it with GIS map data to achieve real-time positioning and tracking of the equipment. Managers can view the real-time location and movement trajectory of the equipment on the platform, which is convenient for equipment inspection and troubleshooting.

[0058] The energy consumption management module is used to monitor various energy consumption in the heating system; it includes a real-time energy consumption tracking module and an early warning module. The real-time energy consumption tracking module compares planned and actual energy consumption and dynamically optimizes heating strategies to reduce energy consumption. The early warning module quickly locates pipe network leakage through water replenishment monitoring, reducing non-technical losses in the heating system.

[0059] Among them, the working principle of the real-time energy consumption tracking module is: first, based on historical heating data and heating plans, reasonable energy consumption plan indicators are formulated; then, actual energy consumption data is collected in real time, including heat source production energy consumption, heat exchange station energy consumption, pipeline transportation energy consumption, etc., and the actual energy consumption data is compared and analyzed with the planned energy consumption indicators, and the energy consumption deviation rate is calculated. If the energy consumption deviation rate exceeds the set threshold, the module will automatically analyze the reasons for the excessive energy consumption, such as low heat source efficiency, unreasonable operation of the heat exchange station, excessive heat loss in the pipeline, etc., and put forward corresponding optimization suggestions, such as adjusting heat source production parameters, optimizing heat exchange station operation strategies, and strengthening pipeline insulation.

[0060] In addition, the early warning module locates pipeline leakage by real-time monitoring of the water replenishment volume of the heating system. When a pipeline leakage occurs, the water replenishment volume will increase abnormally. The module sets a normal fluctuation range for the water replenishment volume. When the water replenishment volume exceeds the normal range, a leakage warning is issued. By analyzing the changing trend and distribution of the water replenishment volume, the location and severity of the leakage are preliminarily determined. Management personnel can arrange inspection personnel to conduct on-site inspections and repairs in a timely manner based on the early warning information, thereby reducing non-technical losses of the heating system.

[0061] The meteorological linkage module is used to combine historical data with weather forecasts to predict heating demand in advance and optimize heating capacity control strategies. The meteorological linkage module includes a multi-source data docking module and a load forecasting module. The multi-source data docking module obtains real-time weather conditions, urban forecasts, and disaster warning data through the API interface of the meteorological department. At the same time, the module extracts parameters such as heat source scheduling, pipe network pressure, and user room temperature from the smart heating comprehensive management platform to construct a heating meteorological index model. The model correlates meteorological elements such as wind speed, humidity, and solar radiation with heating parameters, establishes a mathematical model, and realizes accurate prediction of heat load, so that the smart heating comprehensive management platform can combine historical data with weather forecasts to predict heating demand in advance and optimize heating capacity control strategies.

[0062] In addition, the load forecasting module uses the heating meteorological index model constructed by the multi-source data docking module, combined with historical heating data and machine learning algorithms, to predict the heat load for a period of time in the future. The forecast results include hourly heat load, daily heat load, weekly heat load, etc., which provide a decision-making basis for heat source scheduling and pipeline network regulation. For example, when it is predicted that the temperature will drop significantly in the next few days, the module will issue an early warning to the smart heating integrated management platform. Based on the early warning information, the platform automatically adjusts the production parameters of the heat source and the transmission flow of the pipeline network, increases the heating load in advance, and ensures the stability of the user's room temperature.

[0063] In summary, the workflow of the present invention is as follows: the intelligent heating integrated management platform includes a data acquisition module, a scheduling and monitoring module, a production management module, an equipment management module, a spatial positioning enhancement module, an energy consumption management module, and a meteorological linkage module. The intelligent heating integrated management platform is an integrated and supporting management platform for the heating system, which is used to process the request data sent by each module and control the corresponding module to perform the corresponding action;

[0064] The data acquisition module is used to monitor and collect various data parameters in the heating system. The scheduling monitoring module is used to display the operating status of the equipment in a three-dimensional process flow chart using the various parameters collected by the data acquisition module.

[0065] The production management module helps managers display a panoramic view of the entire network through the web and mobile app, including key indicators such as energy consumption ranking and heating quality, to assist managers in making quick decisions. The equipment management module is used to record and query various parameters of pipeline equipment.

[0066] The spatial positioning enhancement module is used to improve the spatial positioning capability of the smart heating integrated management platform for various devices in the heating system. The energy consumption management module is used to monitor various energy consumption in the heating system.

[0067] The meteorological linkage module is used to combine historical data with weather forecasts to predict heating demand in advance and optimize heating capacity control strategies;

[0068] The data acquisition module monitors the water temperature, water pressure, and flow of the heating system, and collects the operating parameters of the heat source, heat exchange station, and secondary network in real time through compatibility with mainstream PLC equipment;

[0069] Furthermore, the equipment management module can record the pipe material, service life, and corrosion rate of the pipes in the heating system, so as to remind management personnel to promptly repair and replace pipes that need to be replaced, thereby reducing the occurrence of safety accidents.

[0070] In addition, the spatial positioning enhancement module uses Beidou and LoRaWAN hybrid positioning to provide centimeter-level three-dimensional coordinate calibration in areas where GNSS signals are blocked, such as underground pipe corridors. This allows for rapid location of the pipe burst after a pipe burst, enabling rapid repairs in the area and minimizing losses.

[0071] At the same time, the multi-source data docking module is used to connect the meteorological department's real-time weather conditions, urban forecasts and disaster warning data to the smart heating comprehensive management platform, and synchronously match the heat source scheduling, pipeline pressure, user room temperature and other parameters of the heating system to build a heating meteorological index model, and incorporate factors such as wind speed, humidity, and solar radiation into the heat load prediction algorithm to improve the control accuracy, so that the smart heating comprehensive management platform can combine historical data with weather forecasts to predict heating demand in advance and optimize the heating capacity control strategy.

[0072] It should be noted that, in this document, relational terms such as first and second, etc., are used only to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the terms "comprises," "comprising," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that includes a list of elements includes not only those elements but also other elements not explicitly listed, or elements inherent to such process, method, article, or apparatus.

[0073] While embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions, and variations may be made to these embodiments without departing from the principles and spirit of the invention, and that the scope of the invention is defined by the appended claims and their equivalents.

Claims

1. A geographic information-based equipment management and control platform, including a smart heating integrated management platform, characterized by: The smart heating integrated management platform includes: Data acquisition module, which collects real-time operating parameters of heat source, heat exchange station and secondary network through PLC compatible equipment; The scheduling and monitoring module visualizes equipment status based on a 3D GIS model and generates multi-dimensional reports; The production management module provides a panoramic view of the entire network operation through the Web / APP terminal; Equipment management module, which records pipeline attributes and implements QR code scanning management; The spatial positioning enhancement module uses Beidou and LoRaWAN hybrid positioning technology to improve the smart heating integrated management platform's ability to spatially locate various devices in the heating system; Energy consumption management module, used to monitor various energy consumption in the heating system, dynamically optimize heating strategies and provide leakage warnings; The weather linkage module is used to combine historical data with weather forecasts to predict heating demand in advance and optimize heating capacity control strategies; The smart heating comprehensive management platform is an integrated and supporting management platform for the heating system, which is used to process the request data sent by each module and control the corresponding modules to perform corresponding actions.

2. The device management and control platform based on geographic information according to claim 1, characterized in that: The data acquisition module includes monitoring of the water temperature, water pressure and flow of the heating system.

3. The device management and control platform based on geographic information according to claim 1, characterized in that: The equipment management module can record the pipe material, service life and corrosion rate of the pipes in the heating system to remind management personnel to repair and replace the pipes that need to be replaced in time to reduce the occurrence of safety accidents.

4. The device management and control platform based on geographic information according to claim 1, characterized in that: The spatial positioning enhancement module adopts Beidou and LoRaWAN hybrid positioning to provide centimeter-level three-dimensional coordinate calibration in GNSS signal-blocked areas such as underground pipeline corridors.

5. The device management and control platform based on geographic information according to claim 1, characterized in that: The energy consumption management module includes an energy consumption real-time tracking module and an early warning module; The real-time energy consumption tracking module compares planned and actual energy consumption and dynamically optimizes the heating strategy to reduce energy consumption; The early warning module quickly locates pipe network leakage by monitoring the amount of water replenishment, thereby reducing non-technical losses in the heating system.

6. The device management and control platform based on geographic information according to claim 5, characterized in that: The scheduling and monitoring module can automatically generate daily, monthly and quarterly reports, support multi-dimensional statistics by site and region, and display the heat and electricity consumption of heat exchange stations with higher energy consumption; At the same time, the scheduling and monitoring module connects to the user's room temperature data and payment system to accurately identify abnormal heating behavior.

7. The device management and control platform based on geographic information according to claim 1, characterized in that: The meteorological linkage module includes a multi-source data docking module and a load forecasting module; The multi-source data docking module is used to connect the meteorological department's real-time weather conditions, urban forecasts and disaster warning data to the smart heating integrated management platform, and synchronously match the heat source scheduling, pipe network pressure, user room temperature and other parameters of the heating system, build a heating meteorological index model, and incorporate factors such as wind speed, humidity, solar radiation, etc. into the heat load prediction algorithm to improve the control accuracy.

8. The device management and control platform based on geographic information according to claim 3, characterized in that: The equipment management module can establish an equipment ledger, support pipeline equipment QR code scanning query, formulate periodic calibration plans, and automatically push tasks to responsible persons.

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