Intelligent management platform for Internet of Things cloud data of heat supply system

Abstract

The invention provides an intelligent management platform for Internet of Things cloud data of a heat supply system, belongs to the technical field of wireless Internet of Things platforms, and aims to solve the problems that an existing heat supply system management platform is low in intelligent degree, not flexible enough in response to emergencies or complex working conditions, weak in interaction with users and poor in user experience. The system comprises a user management unit which provides a multi-user login entrance and has the functions of hierarchical management and the like; the meteorological docking unit is used for acquiring meteorological data to assist heat supply temperature presetting and energy consumption analysis; the business platform unit collects and analyzes data through a front-end acquisition module and the like, the intelligent control module calculates, compensates and adjusts the heat supply temperature according to weather forecast and temperature difference, the equipment terminal module displays equipment data, and the interaction unit establishes a user feedback channel; the heat supply temperature of the heat supply system is accurately regulated and controlled, and the heat supply quality and the user satisfaction degree are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of wireless Internet of Things platforms, and in particular to an intelligent management platform for Internet of Things cloud data of a heating system. Background Art

[0002] The heating system refers to the general term for boiler room units, outdoor heating pipe networks and radiators. It is a system of equipment and pipes in the power plant that provide steam or hot water to heat users and recycle the return water. Heating is mainly for northern cities. Central heating refers to the way in which steam and hot water generated by centralized heat sources are supplied to a city (town) or part of a region through a pipe network for production, heating and living. Therefore, the heating management and control of the heating system is particularly important.

[0003] For example, the patent with announcement number CN110991686B discloses a smart management platform for the IoT cloud data of a heating system, including terminal equipment, a front-end data acquisition module and a business platform. The data acquisition information of the terminal equipment is transmitted to the front-end data acquisition module for storage through the network. The business platform compares the data information stored in the front-end data acquisition module to obtain specific appropriate control data, and the business platform synchronously controls the terminal equipment to increase or decrease the temperature and humidity. The business platform can match the temperature and humidity to the usage scenarios of users in specific areas. At the same time, users can control the electric heating terminal equipment at home to perform appropriate temperature and humidity control operations through the Internet. However, the current existing heating system management platforms are often not highly intelligent, and mainly rely on the user's active operation. They are not flexible enough when dealing with emergencies or complex working conditions; at the same time, they have weak interactivity with users, and are unable to understand user needs in a timely manner and make corresponding precise adjustments.

[0004] Therefore, an intelligent management platform for IoT cloud data of heating systems is introduced. Summary of the invention

[0005] The purpose of the present invention is to provide an intelligent management platform for the Internet of Things cloud data of a heating system, aiming to solve the problems in the above-mentioned background technology that the existing heating system management platform has a low degree of intelligence, is not flexible enough when dealing with emergencies or complex working conditions, and has weak interactivity with users, and is unable to understand user needs in a timely manner and make corresponding precise adjustments.

[0006] To achieve the above-mentioned purpose, the present invention provides the following technical solutions: a smart management platform for the Internet of Things cloud data of a heating system, the smart management platform comprising: The user management unit is used to provide multiple user login portals, grant different permissions and display content according to levels, and present user information by region. It uses maps to display the location and real-time status data of heating terminal equipment, and provides administrators with hierarchical management operations for users and operators. Meteorological docking unit, used to connect to the data port of the Meteorological Bureau to obtain weather forecast data in real time, and provide analysis reference for the temperature preset control and resource energy consumption of the heating system for the smart management platform; The business platform unit is used to obtain heating system data based on IoT sensor technology during the ongoing heating activities, and then intelligently and automatically control the heat exchange station operating equipment and the terminal equipment used for heating in the user's home. Specifically, it includes: The front-end data acquisition module is used to collect real-time environmental data of the heating system, data of equipment in the heat exchange station, and terminal data of equipment in the user's home, and then upload them to the smart management platform to provide analysis basis for the intelligent control of the equipment in the heat exchange station and terminal equipment. The device management module is used to divide the device list according to different terminal device models, add device information individually or in batches, control the working status of the terminal devices for heating in the user's home and switch the mode under the wireless connection of the Internet of Things, and realize remote management and monitoring of the terminal devices for heating in the user's home. The big data summary and analysis module is used to summarize and compare the received data based on the historical data information of the region and the weather forecast data, and to estimate and set the appropriate heating temperature of the heating system for the next day, and to evaluate the energy consumption trend required for heating for the next day. Intelligent control module, which is used to automatically calculate and compensate the heating temperature of the heating system based on the appropriate preset heating temperature of the heating system for the next day, according to the temperature difference between the real-time temperature of the outdoor environment where the user is located and the temperature predicted by the weather forecast data every day. The intelligent management platform uses the heating calculation model to automatically calculate and compensate the heating temperature of the heating system; The interactive unit is used for users to provide feedback on the heating conditions of the heating system every day on the smart management platform, providing a reference for the intelligent control module to perform targeted control of terminal devices in their homes based on user feedback.

[0007] Furthermore, the business platform unit also includes a device terminal module, which is used to display the relevant data information of the terminal devices distributed at various locations of the heating system after collecting it, including the inlet and outlet water temperature of the terminal equipment, indoor temperature, outdoor humidity, electric energy data, voltage data, and water pressure data, which comprehensively reflects the operating status of the heating system and the user's heating environment.

[0008] Furthermore, the intelligent control module specifically includes: The heating estimation module is used to estimate the heating temperature of the heating system for the next day according to the weather forecast data, so that the heating system can be executed according to the estimated heating temperature at the beginning of heating; The energy consumption monitoring module is used to monitor the energy consumption of the heating system in real time when the heat exchange station is providing heat, so as to provide a basis for estimating the energy consumption of the heating system for the next day according to the weather forecast data; The compensation calculation module is used to use the heating calculation model to calculate the temperature difference between the real-time temperature of the outdoor environment and the temperature predicted by the weather forecast data every day, and to perform compensation calculation for the heating temperature of the heating system every day, so as to provide a basis for the heating system to adjust the heating temperature according to the change of weather temperature; The heating setting module is used to calculate the compensation data according to the real-time weather temperature and the estimated temperature in the compensation calculation module, and adjust and set the real-time heating temperature of the heating system based on the estimated heating temperature according to the compensation; The energy-saving optimization module is used to provide energy-saving optimization suggestions for the heating system on the smart management platform based on the results of energy consumption monitoring and analysis. That is, it adjusts the usage ratio of different energy sources in the heating system by adjusting the heating temperature and optimizing the heating time.

[0009] Furthermore, the compensation calculation module uses the heat supply calculation model to calculate the real-time heating temperature of the heating system according to the following formula: ; Where t represents the current time, t+1 represents the next day; T s,t+1 is the estimated heating temperature for the next day; T b is the basic heating temperature; T f,t+1 is the outdoor temperature predicted by the weather forecast for the next day; T r is the reference temperature; T h,i,t+1 is the historical average outdoor temperature at the time point of the next day corresponding to the i-th day in the past; n is the number of selected historical days; P is the user's preferred temperature adjustment factor, the value range is set according to actual needs and is a constant; T a,t+1 It is the heating temperature adjusted according to the real-time outdoor temperature monitoring on that day; T r,t+1 is the outdoor temperature actually monitored in real time on that day; A, B, C and D are the proportional factors of relevant influencing factors, and all of them are selected constants.

[0010] Furthermore, the intelligent control module remotely connects to the electromagnetic flow valve on the terminal device for heating in the user's home based on the Internet of Things signal, so that after the heating setting module adjusts and sets the real-time heating temperature of the heating system based on the estimated heating temperature according to the compensation, the opening of the electromagnetic flow valve on the terminal device for heating in the user's home is remotely controlled in response to the user's feedback on the real-time indoor temperature, thereby adjusting the heating temperature of the terminal device for heating in the user's home.

[0011] Furthermore, the user management unit specifically includes: The user management module is used to provide management operations for the administrator of the general service provider to manage operators and users in a hierarchical manner, that is, to add or delete user information, divide user areas, and assign user function permissions; The login management module is used to provide login entrances for different users, including administrators, distributors, and ordinary users, and to limit the displayed content and the different permissions that can be operated after users of different levels log in; The user list module is used to display the user information registered on the smart management platform by region, and to show the specific room location of the heating terminal equipment in the user's home through a three-dimensional visual map. By clicking on the operating device, the current working status and real-time data of the heating terminal equipment in the user's home can be displayed.

[0012] Furthermore, the front-end data acquisition module includes an environmental monitoring sensor and an equipment monitoring sensor: wherein the environmental monitoring sensor is used to monitor the real-time temperature of the outdoor environment and the real-time indoor temperature data of the user's location; and the equipment monitoring sensor is used to monitor the operation data of the heating equipment of the heat exchange station and the operation data of the equipment terminal for heating in the user's home.

[0013] Furthermore, the operating data of the heating equipment in the heat exchange station includes: temperature sensor data - used to measure the inlet and outlet temperatures of hot water in the heat exchange station; pressure sensor data - used to measure the pressure of the fluid in the pipeline of the heat exchange station; flow sensor data - used to measure the flow of hot water passing through the heat exchanger of the heat exchange station; liquid level sensor data - used to monitor the liquid level height of the liquid in the water tank; water quality sensor data - used to monitor the water quality parameters of the circulating water in the heat exchange station.

[0014] Furthermore, the energy-saving optimization module performs heat distribution optimization calculations in different areas of the heating system based on the heat energy consumption distribution optimization model, and the formula is as follows: ; in, is the heating power ratio coefficient allocated to the i-th area, and its value range is 0≤ ≤1; P is the upper limit of the total heating power of the heating system; E i is the energy consumption demand of the region, in joules, reflecting the total amount of heat required to maintain the required temperature in the region within a certain period of time; S i is the heat surplus of the region, in joules. i <0 means no surplus is the demand state, S i >0, there is excess heat available for distribution; λ Lagrange multiplier, a constant; represents the optimal allocation ratio coefficient; P i Represents the heating power allocated to the th zone.

[0015] Furthermore, the smart management platform also includes a cloud storage module, which is used to centrally store various heating data of the heating system collected by the front-end data acquisition module, including real-time temperature, pressure, flow, equipment operating status and weather temperature data, to provide data support for operation monitoring, energy consumption assessment and fault diagnosis of the heating system.

[0016] Compared with the prior art, the present invention has the following beneficial effects: The present invention proposes a smart management platform for the Internet of Things cloud data of a heating system, which obtains real-time meteorological data through a meteorological docking unit, laying the foundation for heating temperature preset and energy consumption analysis, so that it can flexibly respond to different weather conditions. In the business platform unit, the front-end acquisition module collects comprehensive data, the equipment management module realizes remote management, the big data summary and analysis module combines historical and meteorological data to estimate the heating temperature and energy consumption trend, and the intelligent control module accurately calculates and compensates to adjust the heating temperature according to weather forecasts and real-time temperature differences. These coordinated operations can timely adjust the heating strategy according to weather and system conditions to respond to sudden and complex working conditions. The interactive unit establishes a feedback channel between the platform and users. The intelligent control module accurately adjusts the temperature of the equipment in the user's home based on this, achieves effective interaction with the user, and accurately meets the needs, which not only improves the heating quality and user satisfaction, but also enables the heating system to achieve efficient and intelligent operation, effectively improving the overall performance and management level of the heating system. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 This is the overall architecture diagram of the smart management platform of the present invention; Figure 2 It is the principle topology diagram of the intelligent management platform of the present invention; Figure 3 This is a front-end data acquisition module architecture diagram of the present invention; Figure 4 It is the intelligent control module diagram of the present invention; Figure 5 This is a topological diagram of the household heating control principle of the present invention. DETAILED DESCRIPTION

[0018] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. 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 creative work are within the scope of protection of the present invention.

[0019] In order to solve the problems that the existing heating system management platform has a low level of intelligence, is not flexible enough to respond to emergencies or complex working conditions, and has weak interaction with users, and is unable to understand user needs in a timely manner and make corresponding accurate adjustments, please refer to Figure 1-Figure 5 , provide the following preferred technical solutions: A smart management platform for Internet of Things cloud data of a heating system, the smart management platform comprising: The user management unit is used to provide multiple user login portals, grant different permissions and display content according to levels, and present user information by region. It uses maps to display the location and real-time status data of heating terminal equipment, and provides administrators with hierarchical management operations for users and operators. The user management unit specifically includes: The user management module is used to provide management operations for the administrator of the general service provider to manage operators and users in a hierarchical manner, that is, to add or delete user information, divide user areas, and assign user function permissions; The login management module is used to provide login entrances for different users, including administrators, distributors and ordinary users, and to limit the content displayed and the different operational permissions after users of different levels log in; for example, the general service provider logs in from the administrator management office, the regional operator logs in from the distributor management office, and the ordinary user logs in from the ordinary user management office.

[0020] The user list module is used to display the user information registered on the smart management platform by region, and to show the specific room location of the heating terminal equipment in the user's home through a three-dimensional visual map. By clicking on the operating device, the current working status and real-time data of the heating terminal equipment in the user's home are displayed, such as working temperature, set temperature, system pressure and other data information.

[0021] The meteorological docking unit is used to connect to the data port of the Meteorological Bureau to obtain weather forecast data in real time, and provide a reference for the intelligent management platform to analyze the temperature preset control and resource energy consumption of the heating system, including outdoor temperature, humidity, wind speed and other information in the next few days. These meteorological data will serve as an important reference for the temperature preset control and resource energy consumption analysis of the heating system. For example, before the cold weather comes, the platform adjusts the heating strategy in advance according to the weather forecast data, appropriately increases the heating temperature, and ensures that the user's indoor temperature is warm and comfortable; when the weather is mild, the heating temperature is reasonably reduced to avoid energy waste. At the same time, meteorological data can also be used to predict the energy consumption trend of the heating system, providing data support for energy-saving optimization.

[0022] The business platform unit is used to obtain heating system data based on IoT sensor technology during the ongoing heating activities, and then intelligently and automatically control the heat exchange station operating equipment and the terminal equipment used for heating in the user's home. Specifically, it includes: The front-end data acquisition module is used to collect real-time environmental data of the heating system, data of equipment in the heat exchange station, and terminal data of equipment in the user's home, and then upload them to the smart management platform to provide analysis basis for the intelligent control of the equipment in the heat exchange station and terminal equipment. The front-end data acquisition module includes environmental monitoring sensors and equipment monitoring sensors: the environmental monitoring sensors are used to monitor the real-time temperature of the outdoor environment and the real-time indoor temperature data of the user's location; and the equipment monitoring sensors are used to monitor the operation data of the heating equipment in the heat exchange station and the operation data of the equipment terminal for heating in the user's home.

[0023] The operation data of the heating equipment in the heat exchange station include: temperature sensor data - used to measure the inlet and outlet temperatures of hot water in the heat exchange station; pressure sensor data - used to measure the pressure of the fluid in the pipeline of the heat exchange station; flow sensor data - used to measure the flow of hot water through the heat exchanger of the heat exchange station; liquid level sensor data - used to monitor the liquid level height of the liquid in the water tank; water quality sensor data - used to monitor the water quality parameters of the circulating water in the heat exchange station.

[0024] The device management module is used to divide the device list according to different terminal device models, add device information individually or in batches, control the working status of the terminal devices for heating in the user's home and switch the mode under the wireless connection of the Internet of Things, and realize remote management and monitoring of the terminal devices for heating in the user's home. The big data summary and analysis module is used to summarize and compare the received data based on the historical data information of the region and the weather forecast data, and to estimate and set the appropriate heating temperature of the heating system for the next day, and to evaluate the energy consumption trend required for heating for the next day. Intelligent control module, which is used to automatically calculate and compensate the heating temperature of the heating system based on the appropriate preset heating temperature of the heating system for the next day, according to the temperature difference between the real-time temperature of the outdoor environment where the user is located and the temperature predicted by the weather forecast data every day. The intelligent management platform uses the heating calculation model to automatically calculate and compensate the heating temperature of the heating system; The business platform unit also includes an equipment terminal module, which is used to display the collected data information of the terminal devices distributed in various locations of the heating system, including the inlet and outlet water temperatures of the terminal devices, indoor temperature, outdoor humidity, electric energy data, voltage data, and water pressure data, comprehensively reflecting the operating status of the heating system and the user's heating environment.

[0025] The interactive unit is used for users to provide feedback on the heating conditions of the heating system every day on the smart management platform, providing a reference for the intelligent control module to perform targeted control of terminal devices in their homes based on user feedback.

[0026] The smart management platform also includes a cloud storage module, which is used to centrally store various types of heating data of the heating system collected by the front-end data acquisition module. These data are stored according to time series and equipment classification to form a complete heating system operation data archive. The stored data can be called by other functional modules of the platform at any time for operation monitoring, energy consumption evaluation and fault diagnosis of the heating system. For example, when conducting energy consumption evaluation, the big data summary and analysis module extracts historical energy consumption data and current operation data from the cloud storage module, conducts a comprehensive analysis, and obtains accurate energy consumption evaluation results; when diagnosing equipment faults, technicians can quickly locate the cause of the fault and improve maintenance efficiency by querying the equipment operation status data in the cloud storage module. Through the cloud storage module, efficient management and sharing of heating data are achieved, providing solid data support for the intelligent management of the heating system.

[0027] The business platform unit also includes an equipment terminal module, which is used to display the collected data information of the terminal devices distributed in various locations of the heating system, including the inlet and outlet water temperatures of the terminal devices, indoor temperature, outdoor humidity, electric energy data, voltage data, and water pressure data, comprehensively reflecting the operating status of the heating system and the user's heating environment.

[0028] The intelligent control module specifically includes: The heating estimation module is used to estimate the heating temperature of the heating system for the next day according to the weather forecast data, so that the heating system can be executed according to the estimated heating temperature at the beginning of heating; The energy consumption monitoring module is used to monitor the energy consumption of the heating system in real time when the heat exchange station is providing heat, so as to provide a basis for estimating the energy consumption of the heating system for the next day according to the weather forecast data; The compensation calculation module is used to use the heating calculation model to calculate the temperature difference between the real-time temperature of the outdoor environment and the temperature predicted by the weather forecast data every day, and to perform compensation calculation for the heating temperature of the heating system every day, so as to provide a basis for the heating system to adjust the heating temperature according to the change of weather temperature; The heating setting module is used to calculate the compensation data according to the real-time weather temperature and the estimated temperature in the compensation calculation module, and adjust and set the real-time heating temperature of the heating system based on the estimated heating temperature according to the compensation; The compensation calculation module uses the heating calculation model to calculate the real-time heating temperature of the heating system. The formula is as follows: ; Where t represents the current time, t+1 represents the next day; T s,t+1 is the estimated heating temperature for the next day; T b is the basic heating temperature; T f,t+1is the outdoor temperature predicted by the weather forecast for the next day; T r is the reference temperature (usually a suitable comfortable temperature value can be selected, such as 18℃ or 20℃, etc., set according to actual conditions); T h,i,t+1 is the historical average outdoor temperature at the time point of the next day corresponding to the i-th day in the past; n is the number of selected historical days; P is the user preferred temperature adjustment factor, the value range is set according to actual needs, and is a constant (it can be determined according to user feedback or set preference values, the value range is set according to actual needs, and the unit is ℃); T a,t+1 It is the heating temperature adjusted according to the real-time outdoor temperature monitoring on that day; T r,t+1 is the outdoor temperature actually monitored in real time on that day; A, B, C and D are proportional factors of relevant influencing factors, and are all selected constants (in actual applications, appropriate values ​​can be determined based on data conditions and experience).

[0029] The intelligent control module remotely connects to the electromagnetic flow valve on the terminal device of the heating in the user's home based on the Internet of Things signal, so that after the heating setting module adjusts and sets the real-time heating temperature of the heating system based on the estimated heating temperature according to the compensation, the opening of the electromagnetic flow valve on the terminal device of the heating in the user's home is remotely controlled in response to the user's feedback on the real-time indoor temperature, so as to adjust the heating temperature of the terminal device of the heating in the user's home.

[0030] Specifically, the user management unit distinguishes user levels and provides different permissions to facilitate hierarchical management and information viewing, and enhance management flexibility. The meteorological docking unit obtains real-time meteorological data to provide a basis for heating temperature preset and energy consumption analysis, and helps to cope with different weather conditions. The business platform unit collects comprehensive data with the help of the front-end data acquisition module. The equipment management module realizes remote management of equipment. The big data summary and analysis module combines historical and meteorological data to estimate the heating temperature and energy consumption trend. The intelligent control module first automatically calculates and sets the heating temperature for the next day based on the predicted temperature of the outdoor environment according to the weather forecast, and then on the same day, based on the real-time monitoring of the outdoor temperature, the temperature difference between the real-time monitored outdoor temperature and the predicted temperature is used, and the heating calculation model is used to calculate the calculation compensation adjustment that the intelligent management platform should make to the heating temperature of the heating system, which can timely adjust the heating strategy according to the weather and system conditions to cope with emergencies and complex working conditions. The interactive unit enables the platform to establish a feedback channel with users. The intelligent control module accurately adjusts the temperature of the user's home equipment based on this, realizes effective interaction with users, accurately meets user needs, improves heating quality and user satisfaction, and ultimately realizes efficient and intelligent operation of the heating system.

[0031] Furthermore, the intelligent control module also includes an energy-saving optimization module. The energy-saving optimization module is used to provide energy-saving optimization suggestions for the heating system based on the results of energy consumption monitoring and analysis. The intelligent management platform adjusts the usage ratio of different energy sources in the heating system by adjusting the heating temperature and optimizing the heating time.

[0032] The energy optimization module performs heat distribution optimization calculations in different areas of the heating system based on the heat energy consumption distribution optimization model. The formula is as follows: ; in, is the heating power ratio coefficient allocated to the i-th area, and its value range is 0≤ ≤1; P is the upper limit of the total heating power of the heating system; E i is the energy consumption demand of the region, in joules, reflecting the total amount of heat required to maintain the required temperature in the region within a certain period of time; S i is the heat surplus of the region, in joules. i <0 means no surplus is the demand state, S i >0, there is excess heat available for distribution; λ Lagrange multiplier, a constant; represents the optimal allocation ratio coefficient; P i Represents the heating power allocated to the th zone.

[0033] Specifically, the energy consumption monitoring module obtains the energy consumption and heating surplus data of each region, which reflects the regional heat consumption and heat balance. Then, the energy-saving optimization module comprehensively considers the energy consumption demand, heating surplus and total heating power upper limit of each region based on the heating energy consumption allocation optimization model, and calculates the optimal heating power ratio coefficient by minimizing the objective function, in which the Lagrange multiplier is used to deal with the power upper limit constraint. Finally, the heating power of each region is allocated according to the calculation results, and the proportion of different energy use is optimized by adjusting the heating temperature and time. The effect is that it can effectively improve the energy utilization efficiency of the heating system, make the heating distribution more reasonable, reduce energy waste, ensure the heating demand of each region, enhance the overall stability and adaptability of the heating system, improve the heating quality, and reduce the heating cost at the same time, so as to realize the economical and efficient operation of the heating system, and can flexibly adjust the heating strategy according to the actual situation of different regions, and be more calm in dealing with various working conditions. Improve the intelligence level of the heating system and promote better matching with the user's heating demand.

[0034] It should be noted that, in this article, relational terms such as first and second, 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.

[0035] Although 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 the embodiments without departing from the principles and spirit of the invention, and the scope of the invention is defined by the appended claims and their equivalents.

Claims

1. A smart management platform for IoT cloud data of a heating system, characterized in that: The smart management platform includes: The user management unit is used to provide multiple user login portals, grant different permissions and display content according to levels, and present user information by region. It uses maps to display the location and real-time status data of heating terminal equipment, and provides administrators with hierarchical management operations for users and operators. Meteorological docking unit, used to connect to the data port of the Meteorological Bureau to obtain weather forecast data in real time, and provide analysis reference for the temperature preset control and resource energy consumption of the heating system for the smart management platform; The business platform unit is used to obtain heating system data based on IoT sensor technology during the ongoing heating activities, and then intelligently and automatically control the heat exchange station operating equipment and the terminal equipment used for heating in the user's home. Specifically, it includes: The front-end data acquisition module is used to collect real-time environmental data of the heating system, data of equipment in the heat exchange station, and terminal data of equipment in the user's home, and then upload them to the smart management platform to provide analysis basis for the intelligent control of the equipment in the heat exchange station and terminal equipment. The device management module is used to divide the device list according to different terminal device models, add device information individually or in batches, control the working status of the terminal devices for heating in the user's home and switch the mode under the wireless connection of the Internet of Things, and realize remote management and monitoring of the terminal devices for heating in the user's home. The big data summary and analysis module is used to summarize and compare the received data based on the historical data information of the region and the weather forecast data, and to estimate and set the appropriate heating temperature of the heating system for the next day, and to evaluate the energy consumption trend required for heating for the next day. Intelligent control module, which is used to automatically calculate and compensate the heating temperature of the heating system based on the appropriate preset heating temperature of the heating system for the next day, according to the temperature difference between the real-time temperature of the outdoor environment where the user is located and the temperature predicted by the weather forecast data every day. The intelligent management platform uses the heating calculation model to automatically calculate and compensate the heating temperature of the heating system; The interactive unit is used for users to provide feedback on the heating conditions of the heating system every day on the smart management platform, providing a reference for the intelligent control module to perform targeted control of terminal devices in their homes based on user feedback.

2. The intelligent management platform for the Internet of Things cloud data of a heating system according to claim 1, characterized in that: The business platform unit also includes a device terminal module, which is used to display the collected data information of the terminal devices distributed at various locations of the heating system, including the inlet and outlet water temperatures, indoor temperature, outdoor humidity, electric energy data, voltage data, and water pressure data of the terminal devices, comprehensively reflecting the operating status of the heating system and the user's heating environment.

3. The intelligent management platform for the Internet of Things cloud data of a heating system according to claim 1, characterized in that: The intelligent control module specifically includes: The heating estimation module is used to estimate the heating temperature of the heating system for the next day according to the weather forecast data, so that the heating system can be executed according to the estimated heating temperature at the beginning of heating; The energy consumption monitoring module is used to monitor the energy consumption of the heating system in real time when the heat exchange station is providing heat, so as to provide a basis for estimating the energy consumption of the heating system for the next day according to the weather forecast data; The compensation calculation module is used to use the heating calculation model to calculate the temperature difference between the real-time temperature of the outdoor environment and the temperature predicted by the weather forecast data every day, and to perform compensation calculation for the heating temperature of the heating system every day, so as to provide a basis for the heating system to adjust the heating temperature according to the change of weather temperature; The heating setting module is used to calculate the compensation data according to the real-time weather temperature and the estimated temperature in the compensation calculation module, and adjust and set the real-time heating temperature of the heating system based on the estimated heating temperature according to the compensation; The energy-saving optimization module is used to provide energy-saving optimization suggestions for the heating system on the smart management platform based on the results of energy consumption monitoring and analysis. That is, it adjusts the usage ratio of different energy sources in the heating system by adjusting the heating temperature and optimizing the heating time.

4. A smart management platform for Internet of Things cloud data of a heating system as claimed in claim 3, characterized in that: The compensation calculation module uses the heat supply calculation model to calculate the real-time heating temperature of the heating system as follows: ； Where t represents the current time, t+1 represents the next day; T s,t+1 is the estimated heating temperature for the next day; T b is the basic heating temperature; T f,t+1 is the outdoor temperature predicted by the weather forecast for the next day; T r is the reference temperature; T h,i,t+1 is the historical average outdoor temperature at the time point of the next day corresponding to the i-th day in the past; n is the number of selected historical days; P is the user's preferred temperature adjustment factor, the value range is set according to actual needs and is a constant; T a,t+1 It is the heating temperature adjusted according to the real-time outdoor temperature monitoring on that day; T r,t+1 is the outdoor temperature actually monitored in real time on that day; A, B, C and D are the proportional factors of relevant influencing factors, and all of them are selected constants.

5. The intelligent management platform for the Internet of Things cloud data of a heating system according to claim 4, characterized in that: The intelligent control module remotely connects to the electromagnetic flow valve on the terminal device for heating in the user's home based on the Internet of Things signal, so that after the heating setting module adjusts and sets the real-time heating temperature of the heating system based on the estimated heating temperature according to the compensation, the opening of the electromagnetic flow valve on the terminal device for heating in the user's home is remotely controlled in response to the user's feedback on the real-time indoor temperature, thereby adjusting the heating temperature of the terminal device for heating in the user's home.

6. The intelligent management platform for the Internet of Things cloud data of a heating system according to claim 1, characterized in that: The user management unit specifically includes: The user management module is used to provide management operations for the administrator of the general service provider to manage operators and users in a hierarchical manner, that is, to add or delete user information, divide user areas, and assign user function permissions; The login management module is used to provide login entrances for different users, including administrators, distributors, and ordinary users, and to limit the displayed content and the different permissions that can be operated after users of different levels log in; The user list module is used to display the user information registered on the smart management platform by region, and to show the specific room location of the heating terminal equipment in the user's home through a three-dimensional visual map. By clicking on the operating device, the current working status and real-time data of the heating terminal equipment in the user's home can be displayed.

7. The intelligent management platform for the Internet of Things cloud data of a heating system according to claim 1, characterized in that: The front-end data acquisition module includes an environment monitoring sensor and an equipment monitoring sensor: the environment monitoring sensor is used to monitor the real-time temperature of the outdoor environment and the real-time indoor temperature data of the user's location; and the equipment monitoring sensor is used to monitor the operation data of the heating equipment in the heat exchange station and the operation data of the equipment terminal for heating in the user's home.

8. The intelligent management platform for the Internet of Things cloud data of a heating system according to claim 7, characterized in that: The operation data of the heating equipment in the heat exchange station includes: temperature sensor data - used to measure the inlet and outlet temperatures of hot water in the heat exchange station; pressure sensor data - used to measure the pressure of the fluid in the pipeline of the heat exchange station; flow sensor data - used to measure the flow of hot water passing through the heat exchanger of the heat exchange station; liquid level sensor data - used to monitor the liquid level height of the liquid in the water tank; water quality sensor data - used to monitor the water quality parameters of the circulating water in the heat exchange station.

9. The intelligent management platform for the Internet of Things cloud data of a heating system according to claim 3, characterized in that: The energy-saving optimization module performs heat distribution optimization calculations in different areas of the heating system based on the heat energy consumption distribution optimization model, and its formula is as follows: ； in, is the heating power ratio coefficient allocated to the i-th area, and its value range is 0≤ ≤1; P is the upper limit of the total heating power of the heating system; E i is the energy consumption demand of the region, in joules, reflecting the total amount of heat required to maintain the required temperature in the region within a certain period of time; S i is the heat surplus of the region, in joules. i <0 means no surplus is the demand state, S i >0, there is excess heat available for distribution; λ Lagrange multiplier, a constant; represents the optimal allocation ratio coefficient; P i represents the heating power allocated to the i-th zone.

10. The intelligent management platform for the Internet of Things cloud data of a heating system according to claim 1, characterized in that: The smart management platform also includes a cloud storage module, which is used to centrally store various heating data of the heating system collected by the front-end data acquisition module, including real-time temperature, pressure, flow, equipment operating status and weather temperature data, to provide data support for operation monitoring, energy consumption assessment and fault diagnosis of the heating system.

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