Heat exchange station control system and method based on Internet of Things technology

Abstract

The invention relates to the technical field of heat exchange station control systems, in particular to a heat exchange station control system and method based on the Internet of Things technology, and the method comprises the steps: receiving an adjustment instruction of a heating user for adjusting the home-entry water inlet temperature; the user average water inlet temperature, the user average water return temperature and the user average flow of the heating users in the unit time period are obtained, and the heat consumption needing to be adjusted and the estimated total heat consumption in the unit time period after adjustment are determined; the secondary network average water inlet temperature, the secondary network average water return temperature and the secondary network average flow in the heat exchange station in the unit time period are obtained, and the total heat consumption in the unit time period is determined; and the heat supply strategy of the heat exchange station is adjusted according to a preset adjustment strategy. By means of the Internet of Things technology, precise adjustment of each heat supply user is achieved, and the heat supply efficiency and the user satisfaction degree are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of heat exchange station control systems, and in particular to a heat exchange station control system and method based on Internet of Things technology. Background Art

[0002] A heat exchange station is a facility used for heat exchange, usually used in a central heating system. Its main function is to exchange heat between a heat medium (such as hot water or steam) and the water system on the user side, thereby achieving the purpose of heating.

[0003] In order to better achieve the purpose of heating, during the heating season, the primary network water channel indicators and secondary network water channel indicators of the heat exchange station are usually adjusted. The existing secondary network adjustment method usually adopts a unified adjustment method for all heating users corresponding to the same heat exchange station. This method is only a broad adjustment and cannot achieve precise adjustment for each specific heating user.

[0004] With the development of Internet of Things technology, various sensors are deployed in heat exchange stations to collect operating data in real time, realize remote monitoring and control of heat exchange station equipment, reduce the need for manual intervention, and provide possibilities for solving the above problems.

[0005] Therefore, the present invention provides a heat exchange station control system and method based on Internet of Things technology to solve the above problems. Summary of the invention

[0006] In view of the above situation, in order to overcome the defects of the prior art, the present invention provides a heat exchange station control system and method based on Internet of Things technology to solve the existing problems.

[0007] In order to achieve the above-mentioned purpose, in a first aspect, the technical solution adopted by the present invention is: a heat exchange station control method based on Internet of Things technology, the control method comprising the following steps: Receive instructions from heating users to adjust the water inlet temperature; Obtain the average inlet water temperature, average return water temperature and average flow rate of heating users in a unit time period, determine the heat consumption that needs to be adjusted and the estimated total heat consumption in the unit time period after adjustment; Obtain the average inlet water temperature, average return water temperature and average flow rate of the secondary network in the heat exchange station within a unit time period to determine the total heat consumption within a unit time period; The heat supply strategy of the heat exchange station is adjusted according to a preset adjustment strategy, wherein the preset adjustment strategy includes: If the estimated total heat consumption in a unit time period after adjustment is less than or equal to the total heat consumption in a unit time period, the secondary network flow and the corresponding flow of the heating user are adjusted until the inlet water temperature of the heating user reaches a temperature that meets the desired indoor temperature of the heating user; If the estimated total heat consumption in a unit time period after adjustment is greater than the total heat consumption in a unit time period, the average inlet water temperature of the primary network and the average return water temperature of the primary network are obtained, and the primary network flow, the secondary network flow and the corresponding flow of the heating user are adjusted until the inlet water temperature of the heating user reaches a temperature that meets the heating user's expected indoor temperature.

[0008] A further improvement of the present application is that the adjustment instruction information includes the current indoor temperature of the heating user, the expected indoor temperature of the heating user, the number corresponding to the heating user, the indoor area corresponding to the heating user and the indoor area floor height corresponding to the heating user.

[0009] A further improvement of the present application is that the expression of the heat consumption that the heating user needs to adjust is: (1), In expression (1), Indicates the amount of heat that any heating user needs to adjust. Indicates the volume of the indoor space of the heating user, Indicates the air density in the heating user's room, represents the specific heat capacity of the heat medium, represents the desired indoor temperature of the heating user, Indicates the current indoor temperature of the heating user; The expression for the estimated total heat consumption in the unit time period after adjustment is: (2), In expression (2), It indicates the estimated total heat consumption per unit time period after adjustment. represents the sum of the heat consumption that needs to be adjusted by k heating users, It represents the sum of the heat consumption of k heating users to maintain the existing indoor temperature in a unit time period. Obtained by the following expression; (3), In expression (3), It represents the heat consumption of the kth heating user to maintain the existing indoor temperature in a unit time period. represents the average flow of the kth heating user in a unit time period, represents the specific heat capacity of the heat medium, It represents the difference between the average inlet water temperature and the average return water temperature of the kth heating user in a unit time period.

[0010] A further improvement of the present application is that the total heat consumption of the heat exchange station in a unit time period is expressed as: (4), In expression (4), Indicates the total heat consumption of the heat exchange station in a unit time period. It represents the average flow rate of the secondary network in the heat exchange station within a unit time period. represents the specific heat capacity of the heat medium, Indicates the average inlet water temperature of the secondary network in the heat exchange station. Indicates the average return water temperature of the secondary network in the heat exchange station. Represents the heat loss coefficient.

[0011] A further improvement of the present application is that the adjustment amount of the secondary network flow is expressed as: (5), In expression (5), Indicates the adjustment amount of the secondary network flow, It represents the average flow rate of the secondary network in the heat exchange station within a unit time period. represents the flow rate after secondary network adjustment, which is obtained by the following expression; (6), In expression (6), represents the estimated total heat consumption per unit time period after adjustment, which is obtained by expression (2): represents the specific heat capacity of the heat medium, Indicates the average inlet water temperature of the secondary network in the heat exchange station. Indicates the average return water temperature of the secondary network in the heat exchange station; The adjustment expression of the primary network flow is: (7), In expression (7), Indicates the adjustment amount of the primary network flow. Indicates the adjustment amount of the secondary network flow, Indicates the average water inlet temperature of the primary network, Indicates the average return water temperature of the secondary network in the heat exchange station. Indicates the average return water temperature of the primary network.

[0012] A further improvement of the present application is that the preset adjustment strategy also includes: When adjusting the corresponding flow of heating users, if the heat consumption that needs to be adjusted by the heating users is a negative value, the flow of this type of heating users will be adjusted first; if the heat consumption that needs to be adjusted by the heating users is a positive value, after adjusting the flow of heating users whose heat consumption is a negative value, the flow of heating users will be adjusted from the top layer to the bottom layer.

[0013] A further improvement of the present application is that after receiving the adjustment instruction of the heating user to adjust the inlet water temperature, before determining the heat consumption to be adjusted and the estimated total heat consumption in the unit time period after the adjustment, the following steps are also included: If the desired indoor temperature of the heating user exceeds the preset indoor temperature threshold, a feedback instruction is sent to the heating user terminal, wherein the feedback instruction includes the indoor temperature threshold and prompts the heating user to modify the desired indoor temperature.

[0014] A further improvement of the present application is that after adjusting the heat supply strategy of the heat exchange station according to the preset adjustment strategy, the following steps are further included: An instruction for completing the adjustment of the inlet water temperature is sent to the heating user terminal, and the instruction information for completing the adjustment includes the time when the inlet water temperature adjustment can be sent next time.

[0015] In a second aspect, the present invention provides a heat exchange station control system based on Internet of Things technology, wherein the control system is used to execute any of the control methods described above, and the control system includes: A data receiving module is used to receive temperature adjustment instructions from the heating user end, the real-time inlet water temperature of the heating user, the real-time return water temperature of the heating user, the real-time flow of the heating user, the real-time inlet water temperature of the secondary network, the real-time return water temperature of the secondary network, the real-time flow of the secondary network, the real-time inlet water temperature of the primary network, the real-time return water temperature of the primary network and the real-time flow of the primary network; a data processing module stores a preset adjustment strategy, is used to process the data sent by the data receiving module, execute the preset adjustment strategy, and generate corresponding control instructions; an execution module is used to convert the control instructions generated by the data processing module into actual physical operations; and a data sending module is used to send the temperature adjustment results processed by the data processing module to the heating user end.

[0016] The beneficial effects of the present invention are as follows: the heat exchange station control method and control system of the present invention can realize accurate control of the heating system, improve energy utilization efficiency, and reduce energy waste. The heating parameters can be dynamically adjusted according to real-time data to ensure the heating effect while reducing operating costs. In addition, the system can also be remotely monitored and managed, providing convenient services for users, responding to users' temperature adjustment needs in a timely manner, and enhancing user experience. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 This is a schematic flow chart of a heat exchange station control method based on Internet of Things technology according to the present invention; Figure 2 This is a schematic structural diagram of a heat exchange station control system based on Internet of Things technology in the present invention. DETAILED DESCRIPTION

[0018] The following will describe various embodiments of the present invention in detail with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are only used to explain the technical principles of the present invention and are not intended to limit the protection scope of the present invention.

[0019] A heat exchange station is a facility used for heat exchange, usually used in a central heating system. Its main function is to exchange heat between a heat medium (such as hot water or steam) and the water system on the user side, thereby achieving the purpose of heating.

[0020] In order to better achieve the purpose of heating, during the heating season, the primary network water channel indicators and secondary network water channel indicators of the heat exchange station are usually adjusted. The existing secondary network adjustment method usually adopts a unified adjustment method for all heating users corresponding to the same heat exchange station. This method is only a broad adjustment and cannot achieve precise adjustment for each specific heating user.

[0021] With the development of Internet of Things technology, various sensors are deployed in heat exchange stations to collect operating data in real time, realize remote monitoring and control of heat exchange station equipment, reduce the need for manual intervention, and provide possibilities for solving the above problems.

[0022] In view of the above problems, on the one hand, the present application provides a heat exchange station control method based on Internet of Things technology, and the control method comprises the following steps: Receive a regulation instruction from a heating user to adjust the inlet water temperature; obtain the average inlet water temperature, average return water temperature and average flow rate of the heating user in a unit time period, determine the heat consumption that needs to be adjusted and the estimated total heat consumption in the unit time period after adjustment; obtain the average inlet water temperature, average return water temperature and average flow rate of the secondary network in the heat exchange station in the unit time period, and determine the total heat consumption in the unit time period; adjust the heating strategy of the heat exchange station according to a preset adjustment strategy, and the preset adjustment strategy includes: if the estimated total heat consumption in the unit time period after adjustment is less than or equal to the total heat consumption in the unit time period, adjust the secondary network flow rate and the corresponding flow rate of the heating user until the inlet water temperature of the heating user reaches a temperature that meets the expected indoor temperature of the heating user; if the estimated total heat consumption in the unit time period after adjustment is greater than the total heat consumption in the unit time period, obtain the average inlet water temperature and the average return water temperature of the primary network, and adjust the primary network flow rate, adjust the secondary network flow rate and the corresponding flow rate of the heating user, until the inlet water temperature of the heating user reaches a temperature that meets the expected indoor temperature of the heating user.

[0023] On the other hand, the present application provides a heat exchange station control system based on Internet of Things technology, the control system comprising: A data receiving module is used to receive temperature adjustment instructions from the heating user end, the real-time inlet water temperature of the heating user, the real-time return water temperature of the heating user, the real-time flow of the heating user, the real-time inlet water temperature of the secondary network, the real-time return water temperature of the secondary network, the real-time flow of the secondary network, the real-time inlet water temperature of the primary network, the real-time return water temperature of the primary network and the real-time flow of the primary network; a data processing module stores a preset adjustment strategy, is used to process the data sent by the data receiving module, execute the preset adjustment strategy, and generate corresponding control instructions; an execution module is used to convert the control instructions generated by the data processing module into actual physical operations; and a data sending module is used to send the temperature adjustment results processed by the data processing module to the heating user end.

[0024] It should be noted that during the heating season, when the heating equipment operates normally and within the load range of the heat exchanger station, the inlet water temperature and return water temperature of the secondary network and the primary network generally do not change drastically. Therefore, in order to achieve temperature regulation for specific heating users, the final temperature regulation is usually achieved by adjusting the pipeline flow. The technical solution of this application is based on this premise.

[0025] The technical solution will be described in detail below in conjunction with specific embodiments. Example

[0026] refer to Figure 1 , a heat exchange station control method based on Internet of Things technology, the control method comprises the following steps S100-S400: S100, receiving a regulation instruction from a heating user to adjust the inlet water temperature; Preferably, the adjustment instruction information includes the current indoor temperature of the heating user, the expected indoor temperature of the heating user, the number corresponding to the heating user, the indoor area corresponding to the heating user and the indoor area floor height corresponding to the heating user.

[0027] Specifically, data such as the current indoor temperature of the heating user, the expected indoor temperature of the heating user, the number corresponding to the heating user, the indoor area corresponding to the heating user, and the indoor area floor height corresponding to the heating user may be data filled in by the user through the user terminal (mobile phone, tablet, computer, etc.).

[0028] S200, obtaining the average inlet water temperature, average return water temperature and average flow rate of heating users in a unit time period, and determining the heat consumption that needs to be adjusted and the estimated total heat consumption in the unit time period after adjustment; Preferably, the expression of the heat consumption that the heating user needs to adjust is: (1), In expression (1), Indicates the amount of heat that any heating user needs to adjust. Indicates the volume of the indoor space of the heating user, Indicates the air density in the heating user's room. Under room temperature conditions, it is usually 1.29kg / m³. Indicates the specific heat capacity of the heat medium. If the heat medium is water, it is usually 4.18 kJ / (kg·K). represents the desired indoor temperature of the heating user, Indicates the current indoor temperature of the heating user; The expression for the estimated total heat consumption in the unit time period after adjustment is: (2), In expression (2), It indicates the estimated total heat consumption per unit time period after adjustment. represents the sum of the heat consumption that needs to be adjusted by k heating users, It represents the sum of the heat consumption of k heating users to maintain the existing indoor temperature in a unit time period. Obtained by the following expression; (3), In expression (3), It represents the heat consumption of the kth heating user to maintain the existing indoor temperature in a unit time period. represents the average flow of the kth heating user in a unit time period, represents the specific heat capacity of the heat medium, It represents the difference between the average inlet water temperature and the average return water temperature of the kth heating user in a unit time period.

[0029] Specifically, the real-time inlet water temperature, real-time return water temperature and real-time flow rate of heating users can be obtained through networked temperature sensors and flow meters installed on the household inlet and return pipes. The average inlet water temperature, average return water temperature and average flow rate of users are obtained by selecting a unit time period and averaging the real-time data. The unit time period is usually 24 hours, 48 ​​hours, 72 hours... and so on.

[0030] S300, obtaining the average inlet water temperature, average return water temperature and average flow rate of the secondary network in the heat exchange station within a unit time period, and determining the total heat consumption within the unit time period; Preferably, the total heat consumption of the heat exchange station in a unit time period is expressed as: (4), In expression (4), Indicates the total heat consumption of the heat exchange station in a unit time period. It represents the average flow rate of the secondary network in the heat exchange station within a unit time period. represents the specific heat capacity of the heat medium, Indicates the average inlet water temperature of the secondary network in the heat exchange station. Indicates the average return water temperature of the secondary network in the heat exchange station. Indicates the heat loss coefficient, with a value range of 0-1, which is determined according to the local latitude and actual conditions of the pipeline, for example, 0.1.

[0031] S400: adjusting the heat supply strategy of the heat exchange station according to a preset adjustment strategy, wherein the preset adjustment strategy includes: If the estimated total heat consumption in a unit time period after adjustment is less than or equal to the total heat consumption in a unit time period, the secondary network flow and the corresponding flow of the heating user are adjusted until the inlet water temperature of the heating user reaches a temperature that meets the desired indoor temperature of the heating user; If the estimated total heat consumption in a unit time period after adjustment is greater than the total heat consumption in a unit time period, the average inlet water temperature of the primary network and the average return water temperature of the primary network are obtained, and the primary network flow, the secondary network flow and the corresponding flow of the heating user are adjusted until the inlet water temperature of the heating user reaches a temperature that meets the heating user's expected indoor temperature.

[0032] Preferably, the adjustment amount expression of the secondary network flow is: (5), In expression (5), Indicates the adjustment amount of the secondary network flow, It represents the average flow rate of the secondary network in the heat exchange station within a unit time period. represents the flow rate after secondary network adjustment, which is obtained by the following expression; (6), In expression (6), represents the estimated total heat consumption per unit time period after adjustment, which is obtained by expression (2): represents the specific heat capacity of the heat medium, Indicates the average inlet water temperature of the secondary network in the heat exchange station. Indicates the average return water temperature of the secondary network in the heat exchange station; The adjustment expression of the primary network flow is: (7), In expression (7), Indicates the adjustment amount of the primary network flow. Indicates the adjustment amount of the secondary network flow, Indicates the average water inlet temperature of the primary network, Indicates the average return water temperature of the secondary network in the heat exchange station. Indicates the average return water temperature of the primary network.

[0033] In the above embodiment, during the specific operation, the operator of the heat exchange station first performs heating operations on the primary network, the secondary network, and the heating user's household pipe network. After the heating user has used it for a period of time, according to different desired indoor temperatures, the request for adjusting the household inlet water temperature is sent. The operator of the heat exchange station remotely adjusts the opening and closing status of the solenoid valves on the primary network, the secondary network, and the heating user's household pipe network according to the above preset adjustment strategy, thereby realizing flow adjustment.

[0034] In one embodiment of the present invention, the preset adjustment strategy further includes: When adjusting the corresponding flow of heating users, if the heat consumption that needs to be adjusted by the heating users is a negative value, the flow of this type of heating users will be adjusted first; if the heat consumption that needs to be adjusted by the heating users is a positive value, after adjusting the flow of heating users whose heat consumption is a negative value, the flow of heating users will be adjusted from the top layer to the bottom layer.

[0035] In the above embodiment, during the specific operation, the adjustment requests of the heating users whose heat consumption needs to be adjusted is negative are adjusted first, which can improve the accuracy of the operation and reduce data errors. When the heat consumption of the heating users needs to be adjusted is positive, after adjusting the flow of the heating users whose heat consumption needs to be adjusted is negative, the flow of the heating users is adjusted from the top floor to the bottom in sequence. The reason for this operation is that the water densities at different temperatures are different. High-temperature water has a low density and naturally flows to higher places. Low-temperature water has a high density and naturally flows to lower places. Adjusting the high floors first can also improve the accuracy of the operation and reduce data errors.

[0036] In one embodiment of the present invention, after receiving the adjustment instruction of the heating user to adjust the inlet water temperature, before determining the heat consumption to be adjusted and the estimated total heat consumption in the unit time period after the adjustment, that is, between steps S100-S200, step S101 is further included: S101. If the desired indoor temperature of the heating user exceeds a preset indoor temperature threshold, a feedback instruction is sent to the heating user terminal, wherein the feedback instruction includes the indoor temperature threshold and prompts the heating user to modify the desired indoor temperature.

[0037] In the above embodiment, the indoor temperature threshold is preset to avoid malicious waste of thermal resources by heating users. The preset indoor temperature threshold is usually set to 30°C.

[0038] In one embodiment of the present invention, after step S400, step S401 is further included: S401, sending an instruction for completing the adjustment of the inlet water temperature to a heating user terminal, wherein the instruction information for completing the adjustment includes the time when the inlet water temperature adjustment can be sent next time.

[0039] In the above embodiment, by sending the next time when the inlet water temperature can be adjusted, on the one hand, it can avoid excessive work of the heat exchange station equipment caused by frequent sending of adjustment instructions by heating users, and on the other hand, it ensures the stable operation of the heating system and the interests of heating users. In specific operations, the next time when the inlet water temperature can be adjusted is set to 48 hours.

[0040] refer to Figure 2 , a heat exchange station control system based on Internet of Things technology, the control system is used to execute the control method as described above, the control system includes: A data receiving module is used to receive temperature adjustment instructions from the heating user end, the real-time inlet water temperature of the heating user, the real-time return water temperature of the heating user, the real-time flow of the heating user, the real-time inlet water temperature of the secondary network, the real-time return water temperature of the secondary network, the real-time flow of the secondary network, the real-time inlet water temperature of the primary network, the real-time return water temperature of the primary network and the real-time flow of the primary network; A data processing module stores a preset adjustment strategy, is used to process the data sent by the data receiving module, execute the preset adjustment strategy, and generate corresponding control instructions; An execution module, used to convert the control instructions generated by the data processing module into actual physical operations; and a data sending module, which is used to send the temperature adjustment result processed by the data processing module to the heating user end.

[0041] Specifically, in cooperation with the execution module, the facilities for performing physical operations include but are not limited to solenoid valves installed on the primary network, the secondary network, and the user pipe network. The solenoid valves are communicatively connected with the execution module and can be remotely opened and closed.

[0042] In one embodiment of the present invention, the control system further comprises: The user interface module provides a friendly operating platform, allowing operators to easily view real-time data, historical data, system status, and perform manual control operations. Through this design, the operating efficiency and reliability of the heat exchange station have been significantly improved, while reducing operating and maintenance costs.

[0043] Various implementations of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on chips (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various implementations can include: being implemented in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which can be a special purpose or general purpose programmable processor that can receive data and instructions from a storage system, at least one input device, and at least one output device, and transmit data and instructions to the storage system, the at least one input device, and the at least one output device.

[0044] The program code for implementing the method of the present disclosure may be written in any combination of one or more programming languages. These program codes may be provided to a processor or controller of a general-purpose computer, a special-purpose computer, or other programmable data processing device, so that the program code, when executed by the processor or controller, enables the functions / operations specified in the flow chart and / or block diagram to be implemented. The program code may be executed entirely on the machine, partially on the machine, partially on the machine and partially on a remote machine as a stand-alone software package, or entirely on a remote machine or server.

[0045] In the context of the present disclosure, a machine-readable medium may be a tangible medium that may contain or store a program for use by or in conjunction with an instruction execution system, device, or equipment. A machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, device, or device, or any suitable combination of the foregoing. A more specific example of a machine-readable storage medium may include an electrical connection based on one or more lines, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0046] To provide interaction with a user, the systems and techniques described herein can be implemented on a computer having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and pointing device (e.g., a mouse or trackball) through which the user can provide input to the computer. Other types of devices can also be used to provide interaction with the user; for example, the feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including acoustic input, voice input, or tactile input).

[0047] The systems and techniques described herein may be implemented in a computing system that includes back-end components (e.g., as a data server), or a computing system that includes middleware components (e.g., an application server), or a computing system that includes front-end components (e.g., a user computer with a graphical user interface or a web browser through which a user can interact with implementations of the systems and techniques described herein), or a computing system that includes any combination of such back-end components, middleware components, or front-end components. The components of the system may be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: a local area network (LAN), a wide area network (WAN), and the Internet.

[0048] A computer system may include a client and a server. The client and the server are generally remote from each other and usually interact through a communication network. The relationship of client and server is generated by computer programs running on respective computers and having a client-server relationship with each other. The server may be a cloud server, a server of a distributed system, or a server combined with a blockchain.

[0049] It should be understood that the various forms of processes shown above can be used to reorder, add or delete steps. For example, the steps recorded in this disclosure can be executed in parallel, sequentially or in different orders, as long as the desired results of the technical solutions disclosed in this disclosure can be achieved, and this document does not limit this.

[0050] The above specific implementations do not constitute a limitation on the protection scope of the present disclosure. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions can be made according to design requirements and other factors. Any modification, equivalent substitution and improvement made within the spirit and principle of the present disclosure shall be included in the protection scope of the present disclosure.

Claims

1. A heat exchange station control method based on Internet of Things technology, characterized in that: The control method comprises the following steps: Receive instructions from heating users to adjust the water inlet temperature; Obtain the average inlet water temperature, average return water temperature and average flow rate of heating users in a unit time period, determine the heat consumption that needs to be adjusted and the estimated total heat consumption in the unit time period after adjustment; Obtain the average inlet water temperature, average return water temperature and average flow rate of the secondary network in the heat exchange station within a unit time period to determine the total heat consumption within a unit time period; The heat supply strategy of the heat exchange station is adjusted according to a preset adjustment strategy, wherein the preset adjustment strategy includes: If the estimated total heat consumption in a unit time period after adjustment is less than or equal to the total heat consumption in a unit time period, the secondary network flow and the corresponding flow of the heating user are adjusted until the inlet water temperature of the heating user reaches a temperature that meets the desired indoor temperature of the heating user; If the estimated total heat consumption in a unit time period after adjustment is greater than the total heat consumption in a unit time period, the average inlet water temperature of the primary network and the average return water temperature of the primary network are obtained, and the primary network flow, the secondary network flow and the corresponding flow of the heating user are adjusted until the inlet water temperature of the heating user reaches a temperature that meets the heating user's expected indoor temperature.

2. The heat exchange station control method based on Internet of Things technology according to claim 1 is characterized in that: The adjustment instruction information includes the current indoor temperature of the heating user, the expected indoor temperature of the heating user, the number corresponding to the heating user, the indoor area corresponding to the heating user, and the indoor area floor height corresponding to the heating user.

3. The heat exchange station control method based on Internet of Things technology according to claim 2 is characterized in that: The expression of the heat consumption that the heating user needs to adjust is: （1）， In expression (1), Indicates the amount of heat that any heating user needs to adjust. Indicates the volume of the indoor space of the heating user, Indicates the air density in the heating user's room, represents the specific heat capacity of the heat medium, represents the desired indoor temperature of the heating user, Indicates the current indoor temperature of the heating user; The expression for the estimated total heat consumption in the unit time period after adjustment is: （2）， In expression (2), It indicates the estimated total heat consumption per unit time period after adjustment. represents the sum of the heat consumption that needs to be adjusted by k heating users, It represents the sum of the heat consumption of k heating users to maintain the existing indoor temperature in a unit time period. Obtained by the following expression; （3）， In expression (3), It represents the heat consumption of the kth heating user to maintain the existing indoor temperature in a unit time period. represents the average flow of the kth heating user in a unit time period, represents the specific heat capacity of the heat medium, It represents the difference between the average inlet water temperature and the average return water temperature of the kth heating user in a unit time period.

4. The heat exchange station control method based on Internet of Things technology according to claim 3 is characterized in that: The total heat consumption per unit time period of the heat exchange station is expressed as: （4）， In expression (4), Indicates the total heat consumption of the heat exchange station in a unit time period. It represents the average flow rate of the secondary network in the heat exchange station within a unit time period. represents the specific heat capacity of the heat medium, Indicates the average inlet water temperature of the secondary network in the heat exchange station. Indicates the average return water temperature of the secondary network in the heat exchange station. Represents the heat loss coefficient.

5. The heat exchange station control method based on Internet of Things technology according to claim 4 is characterized in that: The adjustment expression of the secondary network flow is: （5）， In expression (5), Indicates the adjustment amount of the secondary network flow, It represents the average flow rate of the secondary network in the heat exchange station within a unit time period. represents the flow rate after secondary network adjustment, which is obtained by the following expression; （6）， In expression (6), represents the estimated total heat consumption per unit time period after adjustment, which is obtained by expression (2): represents the specific heat capacity of the heat medium, Indicates the average inlet water temperature of the secondary network in the heat exchange station. Indicates the average return water temperature of the secondary network in the heat exchange station; The adjustment expression of the primary network flow is: （7）， In expression (7), Indicates the adjustment amount of the primary network flow. Indicates the adjustment amount of the secondary network flow, Indicates the average water inlet temperature of the primary network, Indicates the average return water temperature of the secondary network in the heat exchange station. Indicates the average return water temperature of the primary network.

6. The heat exchange station control method based on Internet of Things technology according to claim 5 is characterized in that: The preset adjustment strategy also includes: When adjusting the corresponding flow of heating users, if the heat consumption that needs to be adjusted by the heating users is a negative value, the flow of this type of heating users will be adjusted first; if the heat consumption that needs to be adjusted by the heating users is a positive value, after adjusting the flow of heating users whose heat consumption is a negative value, the flow of heating users will be adjusted from the top layer to the bottom layer.

7. The heat exchange station control method based on Internet of Things technology according to claim 2 is characterized in that: After receiving the adjustment instruction of the heating user to adjust the inlet water temperature, before determining the heat consumption to be adjusted and the estimated total heat consumption in the unit time period after the adjustment, the following steps are also included: If the desired indoor temperature of the heating user exceeds the preset indoor temperature threshold, a feedback instruction is sent to the heating user terminal, wherein the feedback instruction includes the indoor temperature threshold and prompts the heating user to modify the desired indoor temperature.

8. The heat exchange station control method based on Internet of Things technology according to claim 1 is characterized in that: After adjusting the heat supply strategy of the heat exchange station according to the preset adjustment strategy, the following steps are also included: An instruction for completing the adjustment of the inlet water temperature is sent to the heating user terminal, and the instruction information for completing the adjustment includes the time when the inlet water temperature adjustment can be sent next time.

9. A heat exchange station control system based on Internet of Things technology, the control system is used to execute the control method according to any one of claims 1 to 8, characterized in that: The control system comprises: A data receiving module is used to receive temperature adjustment instructions from the heating user end, the real-time inlet water temperature of the heating user, the real-time return water temperature of the heating user, the real-time flow of the heating user, the real-time inlet water temperature of the secondary network, the real-time return water temperature of the secondary network, the real-time flow of the secondary network, the real-time inlet water temperature of the primary network, the real-time return water temperature of the primary network and the real-time flow of the primary network; The data processing module stores the preset adjustment strategy, is used to process the data sent by the data receiving module, execute the preset adjustment strategy, and generate corresponding control instructions; An execution module, used to convert the control instructions generated by the data processing module into actual physical operations; and a data sending module, used for sending the temperature adjustment result processed by the data processing module to the heating user end.

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