Heating pipe network monitoring system and method
By using a distributed sensor network and cloud system to monitor the heating network in real time, the problem of low efficiency in traditional monitoring technology has been solved. This enables high-precision, full-range network monitoring and dynamic flow adjustment, thereby improving the operating efficiency and safety of the heating system.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- 宋德官
- Filing Date
- 2023-08-31
- Publication Date
- 2026-04-10
AI Technical Summary
Traditional heating network monitoring technologies are inefficient, prone to errors, and costly. They are difficult to comprehensively assess the condition of the network and are complex to operate, which can easily lead to power outages and interruptions in the heating system.
Employing a distributed sensor network, including flow meters, temperature sensors, pressure sensors, and level sensors, combined with wireless communication and cloud servers, it enables real-time monitoring and dynamic flow adjustment of the heating network, provides cloud-based data storage and display control terminals, and supports leak detection and valve control.
It enables high-precision, full-range monitoring of heating pipe networks, improves monitoring efficiency and data accuracy, ensures the safety and reliability of pipe network operation, reduces resource waste, and supports remote monitoring and optimization adjustments.
Smart Images
Figure CN121828618A_ABST
Abstract
Description
Technical Field
[0001] This application relates to the field of heating network technology, and in particular to a heating network monitoring system and method. Background Technology
[0002] A heating network system refers to a centralized heating facility used to provide heating and hot water to buildings, consisting of heat sources, heating pipes, and user heat exchangers. Effective monitoring of the heating network is crucial to ensure its normal operation and safety.
[0003] Traditional monitoring technologies for thermal pipeline networks mainly include manual inspections, handheld electromagnetic penetration testing, and corrosion detection. These methods have many problems:
[0004] First, manual inspection is inefficient and costly. Because pipelines run through complex environments such as building complexes and underground roads, manual inspection is difficult, requires a lot of time, manpower and material resources, and is prone to missing or ignoring leaks.
[0005] Secondly, handheld electromagnetic penetration testing can only detect defects near the pipe surface, and cannot comprehensively assess the actual condition of the pipe network. Furthermore, this method has limited detection data, significant errors, and requires a considerable amount of time to operate.
[0006] Finally, although corrosion detection technology can detect internal corrosion in pipes, it can only be carried out after the pipes are shut down or after cleaning tools and manual disassembly of the pipes are used. This can easily lead to power outages and heating interruptions in the heating system.
[0007] In summary, traditional pipeline monitoring technologies suffer from problems such as low efficiency, high inspection difficulty, high cost, and large errors. Summary of the Invention
[0008] Based on this, a heating network monitoring system and method are provided to solve the technical problems of low efficiency and large error in traditional heating network monitoring technology.
[0009] To achieve the above objectives, this application provides the following technical solution:
[0010] Firstly, a heating network monitoring system includes:
[0011] Multiple data acquisition / execution modules are respectively installed at several key locations in the heating pipeline network; each data acquisition / execution module includes a flow meter, a temperature sensor, a pressure sensor, a liquid level sensor, a processor, and a first wireless communication module. The data output terminals of the flow meter, temperature sensor, pressure sensor, and liquid level sensor are all electrically connected to one data input terminal of the processor; the processor and the first wireless communication module are bidirectionally connected; the control signal output terminal of the processor is electrically connected to the control signal input terminal of the valve at the key location.
[0012] The data transceiver control module includes a microcontroller and a second wireless communication module. The microcontroller and the second wireless communication module are bidirectionally connected. The second wireless communication module is used to establish bidirectional communication connections with each of the first wireless communication modules and the cloud server. The cloud server is bidirectionally connected with the display control terminal. The microcontroller is used to receive monitoring data collected by multiple flow meters, multiple temperature sensors, multiple pressure sensors, and multiple level sensors from multiple data acquisition / execution modules in real time, package the acquired monitoring data, and send it to the cloud server. It is also used to receive the target operating parameters of the heating network set by the display control terminal from the cloud server, and control each data acquisition / execution module to adjust the state of the valves at key positions according to the target operating parameters of the heating network and the monitoring data, so as to realize the dynamic adjustment of the supply and return water flow of the heating network.
[0013] Optionally, the preset key locations of the heating network include the inlet and outlet of the heating network, user connection points, corners, branch and confluence points of pipelines, ends, intersections of main pipelines and branch pipelines, pipeline ramp sections, and pump station inlets.
[0014] Optionally, each of the data acquisition / execution modules further includes a positioning module, wherein the data output terminal of the positioning module is electrically connected to one data input terminal of the processor.
[0015] Optionally, the first wireless communication module includes a first LoRa wireless communication module; the second wireless communication module includes a second LoRa wireless communication module and a mobile communication module, wherein the second LoRa wireless communication module is used to establish a bidirectional communication connection with each of the first LoRa wireless communication modules, and the mobile communication module is used to establish a bidirectional communication connection with the cloud server.
[0016] Further optionally, the mobile communication module is a 4G communication module or an NB-IoT communication module.
[0017] Secondly, a method for monitoring a heating network, applied to the heating network monitoring system provided in the first aspect, the method comprising:
[0018] The microcontroller receives real-time monitoring data from multiple flow meters, temperature sensors, pressure sensors, and level sensors from multiple data acquisition / execution modules, packages the acquired monitoring data, and sends it to the cloud server. The cloud server forwards the monitoring data to the display control terminal, which then displays the monitoring data using a graphical interface.
[0019] The microcontroller receives the target operating parameters of the heating network set by the display control terminal from the cloud server. Based on the target operating parameters of the heating network and the monitoring data, it controls each data acquisition / execution module to adjust the state of the valves at key locations, thereby realizing the dynamic adjustment of the supply and return water flow of the heating network.
[0020] Optionally, the cloud server is also used to determine whether a leak has occurred at each key location of the heating network based on the monitoring data; if a leak is detected at a key location of the heating network, an alarm is sent to the display control terminal.
[0021] Further optionally, determining whether a leak is detected at each critical location of the heating network includes:
[0022] Based on the monitoring data collected from multiple flow meters, multiple pressure sensors and multiple level sensors, it is determined whether the water flow at each key location is abnormal, and whether the water pressure and level at each key location have decreased.
[0023] If there is an abnormal water flow at a critical location, and the water pressure and liquid level at that critical location drop, then it is determined that there is a leak at that critical location.
[0024] Optionally, the step of controlling the state of valves at key locations of each data acquisition / execution module to adjust the dynamic supply and return water flow of the heating network based on the target operating parameters and monitoring data of the heating network includes:
[0025] Based on the monitoring data, we can understand the actual operating conditions of the heating network;
[0026] The target operating parameters of the heating network are compared with the actual operating condition data of the heating network.
[0027] An adjustment strategy is generated based on the deviation between the target operating parameters of the heating network and the actual operating condition data of the heating network.
[0028] According to the adjustment strategy, corresponding control signals are sent to the processor of each data acquisition / execution module, so that the processor of each data acquisition / execution module controls the valve at the key position to adjust the opening degree, thereby realizing the dynamic adjustment of the supply and return water flow of the heating network.
[0029] The present invention has at least the following beneficial effects:
[0030] This invention provides a heating network monitoring system and method. The heating network monitoring system includes multiple data acquisition / execution modules, a data transmission and control module, a cloud server, and a display control terminal. It employs various sensor technologies to comprehensively monitor multiple indicators of the heating network in real time, such as temperature, pressure, flow rate, and liquid level. The data accuracy is high and the monitoring range is wide. Traditional network monitoring methods mainly rely on visual and auditory judgment, which has limited accuracy and is not conducive to real-time monitoring. In contrast, this heating network monitoring system uses multiple high-precision sensors to monitor multiple parameters of the heating network with high precision, thereby ensuring that the operating status of the network can be reflected in a timely and accurate manner. This improves monitoring efficiency while ensuring the accuracy and reliability of network operation. Traditional network monitoring methods are limited to monitoring a few key locations and cannot comprehensively monitor the operating status of the heating network. However, the distributed structure of the heating network monitoring system allows sensors to be installed at key locations throughout the heating network, achieving comprehensive monitoring of the network.
[0031] The heating network monitoring system also provides cloud-based data storage services to ensure data security and backup, facilitating long-term evaluation and optimization of the heating network. Traditional network monitoring methods mainly rely on manual data recording, which is inefficient and prone to errors. In contrast, the heating network monitoring system uses sensors to monitor data in real time and transmits the data to the display and control terminal in real time via network transmission technology, achieving full automation and ensuring data accuracy and timeliness. Attached Figure Description
[0032] Figure 1 This is a schematic diagram of the structure of a heating network monitoring system according to an embodiment of the present invention;
[0033] Figure 2 This is a schematic diagram of the complete structure of a heating network monitoring system according to an embodiment of the present invention;
[0034] Figure 3 This is a simplified schematic diagram of a heating network monitoring system provided in one embodiment of the present invention;
[0035] Figure 4 This is a flowchart illustrating a method for monitoring a thermal pipeline network, as provided in one embodiment of the present invention.
[0036] Explanation of reference numerals in the attached figures:
[0037] 1. Data acquisition / execution module; 11. Flow meter; 12. Temperature sensor; 13. Pressure sensor; 14. Liquid level sensor; 15. Processor; 16. First wireless communication module; 17. Valve; 18. Positioning module;
[0038] 2. Data transceiver control module; 21. Microcontroller; 22. Second wireless communication module;
[0039] 3. Cloud server;
[0040] 4. Display control terminal. Detailed Implementation
[0041] To make the objectives, technical solutions, and advantages of this application clearer, the following detailed description is provided in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the scope of this application.
[0042] In one embodiment, such as Figure 1 As shown, a heating network monitoring system is provided, which includes:
[0043] Multiple data acquisition / execution modules 1 are respectively set at multiple key locations in the heating pipeline network; each data acquisition / execution module 1 includes a flow meter 11, a temperature sensor 12, a pressure sensor 13, a liquid level sensor 14, a processor 15, and a first wireless communication module 16. The data output terminals of the flow meter 11, temperature sensor 12, pressure sensor 13, and liquid level sensor 14 are electrically connected to one data input terminal of the processor 15; the processor 15 and the first wireless communication module 16 are bidirectionally connected; the control signal output terminal of the processor 15 is electrically connected to the control signal input terminal of the valve 17 at the key location.
[0044] The data transceiver control module 2 includes a microcontroller 21 and a second wireless communication module 22. The microcontroller 21 and the second wireless communication module 22 are bidirectionally connected. The second wireless communication module 22 is used to establish bidirectional communication connections with each of the first wireless communication modules 16 and the cloud server 3. The cloud server 3 is bidirectionally connected with the display control terminal 4. The microcontroller 21 is used to receive in real time the monitoring data collected by multiple flow meters 11, multiple temperature sensors 12, multiple pressure sensors 13 and multiple liquid level sensors 14 from multiple data acquisition / execution modules 1, package the acquired monitoring data and send it to the cloud server 3. It is also used to receive the target operating parameters of the heating network set by the display control terminal 4 from the cloud server 3, and control each data acquisition / execution module 1 to adjust the state of the valve 17 at the key position according to the target operating parameters of the heating network and the monitoring data, so as to realize the dynamic adjustment of the supply and return water flow of the heating network.
[0045] The cloud server 3 is used to forward monitoring data to the display control terminal 4; the display control terminal 4 is used to display the monitoring data using a graphical interface.
[0046] In addition, cloud server 3 is also used to determine whether there is a leak at each key location in the heating network based on monitoring data; if a leak is detected at a key location in the heating network, an alarm is sent to display and control terminal 4 to remind maintenance personnel to handle the situation as soon as possible, minimizing resource waste and achieving energy conservation and emission reduction goals.
[0047] Furthermore, the pre-designed key locations of the heating network include:
[0048] (1) Inlet and outlet of heating network: The inlet and outlet of heating network are the main fluid junctions and key locations where flow rate changes are likely to occur; setting up monitoring points at the inlet and outlet can help to grasp data such as inlet and outlet flow rate and temperature, which can be used for the regulation and monitoring of the network.
[0049] (2) User connection point: The user connection point is the interface between the heating network and the user's building, including the inlet and outlet. These locations need to ensure that the connection between the supply and return water pipes is stable and can meet the user's heat energy needs.
[0050] (3) Corners and pipe branch confluences: Key turning points in the heating network, such as corners or pipe branch confluences, can be monitored by setting up monitoring points to monitor changes in flow rate, temperature, and pressure to ensure the normal operation and flow balance of the network.
[0051] (4) End of the pipeline: The end of the heating pipeline is the connection point of the last user and the end point of the heating system. Setting up monitoring points at the end can help detect data such as return water temperature and flow rate of the end user, as well as determine the supply and return water balance of the heating system.
[0052] (5) Intersection of main pipeline and branch pipeline: The heating network is usually composed of main pipeline and branch pipeline. The main pipeline is the main pipeline laid along the road or large building, while the branch pipeline branches out to supply each user. The connection between the branch pipeline and the main pipeline is a critical location, and the heating quality at the connection needs to be guaranteed.
[0053] (6) Sloping sections of pipelines: Heating pipelines are usually laid out with a certain slope to facilitate smooth water flow in the pipeline; monitoring points are set up on the sloping and horizontal sections of the pipeline to monitor the water level, flow velocity and other information inside the pipeline and to determine whether the pipeline is operating normally.
[0054] (7) Pump station inlet: Pump stations and pump sets in the heating system are key equipment responsible for circulating heat medium. Setting up monitoring points can monitor the pump's operating status (such as current, pressure, temperature) and water flow rate in real time to ensure the normal operation of the pump and the stability of the heating system. The monitoring points can be set at the pump station or water pump inlet of the heating system to monitor the pump station's water supply flow rate, pressure and other data to ensure the normal operation of the pump station and the quality of water supply.
[0055] Furthermore, such as Figure 2 As shown, each data acquisition / execution module 1 also includes a positioning module 18, the data output terminal of the positioning module 18 being electrically connected to one data input terminal of the processor 15.
[0056] In other words, at each key location in the heating network, a flow meter 11, a temperature sensor 12, a pressure sensor 13, a liquid level sensor 14, and a positioning module 18 are installed.
[0057] Furthermore, the first wireless communication module 16 includes a first LoRa wireless communication module; the second wireless communication module 22 includes a second LoRa wireless communication module and a mobile communication module. The second LoRa wireless communication module is used to establish a bidirectional communication connection with each of the first LoRa wireless communication modules, and the mobile communication module is used to establish a bidirectional communication connection with the cloud server 3.
[0058] The mobile communication module is either a 4G communication module or an NB-IoT communication module.
[0059] In other words, such as Figure 3As shown, the heating network monitoring system consists of four parts: a data acquisition / execution module 1, a data transceiver control module 2, a cloud server 3, and a display control terminal 4. The data acquisition / execution module 1 is installed at key locations on the main and branch pipelines of the heating network, transmitting real-time monitoring point location information, flow rate information, temperature information, pressure information, and liquid level information to the data transceiver control module 2. The data transceiver control module 2 performs simple calculations, packages the data, and uploads it to the cloud server 3. The cloud server 3 calculates, parses, and stores the data, which is then read and displayed graphically by the display control terminal 4 (via a mobile WeChat mini-program or PC webpage).
[0060] The display control terminal 4 can also upload the set parameter data to the cloud server 3, which will then send it to the data transmission and control module 2, thereby controlling the data acquisition / execution module 1 to dynamically adjust the supply and return water flow of the valve and rationally allocate thermal resources.
[0061] The system also has a water leakage alarm and leak location estimation function. If a water leakage occurs in the pipeline, the cloud server 3 will immediately push the relevant information to the display control terminal 4 and alarm to remind maintenance personnel to deal with it as soon as possible, so as to minimize resource waste and achieve energy conservation and emission reduction goals.
[0062] This heating network monitoring system employs multiple sensor technologies to comprehensively monitor real-time indicators such as temperature, pressure, flow rate, and liquid level within the heating network, ensuring high data accuracy and a wide monitoring range. Wireless transmission technology enables data broadcasting and information transmission, reducing data transmission time and improving data reception speed and installation convenience. An integrated monitoring system is introduced to achieve remote monitoring and fault diagnosis of the heating network monitoring equipment, enhancing the safety and stability of the network. The system also provides cloud-based data storage services to ensure data security and backup, as well as big data analysis and predictive capabilities, facilitating long-term evaluation and optimization of the heating network.
[0063] The heating network monitoring system provided in this invention is a device that uses technical means to monitor the heating network in real time, so that problems in the network can be detected early and measures can be taken to solve them.
[0064] This device solves the following technical problems and has significant advantages:
[0065] 1. Monitoring accuracy
[0066] Traditional pipeline monitoring methods rely primarily on visual and auditory judgment, which has limited accuracy and is not suitable for real-time monitoring. In contrast, heating pipeline monitoring systems employ multiple high-precision sensors, enabling high-precision monitoring of various parameters such as temperature, pressure, flow rate, and velocity within the heating pipeline network. This ensures that the operational status of the pipeline network is reflected promptly and accurately, guaranteeing the accuracy and reliability of its operation.
[0067] 2. Monitoring Scope
[0068] Traditional pipeline monitoring methods are limited to monitoring a few key locations and cannot comprehensively monitor the operating status of the heating pipeline network. However, the distributed structure adopted by the heating pipeline network monitoring system can install sensors at key locations throughout the entire heating pipeline network, achieving comprehensive monitoring of the network.
[0069] 3. Data transmission
[0070] Traditional pipeline monitoring methods primarily rely on manual data recording, which is inefficient and prone to errors. In contrast, heating pipeline monitoring systems use sensors to monitor data in real time and transmit the data to the display and control terminal via network technology, achieving full automation and ensuring data accuracy and timeliness.
[0071] 4. Pipeline safety
[0072] One of the key advantages of a heating network monitoring system is its ability to ensure network safety. Traditional network monitoring methods suffer from drawbacks such as high cost, poor effectiveness, and complex operation. In contrast, a heating network monitoring system, by monitoring network parameters in real time, can promptly predict the network's operational status, prevent network problems, and ensure safe and reliable heating for users.
[0073] In summary, the heating network monitoring system solves the technical problems of traditional network monitoring methods and possesses significant advantages such as comprehensive and high-precision monitoring capabilities, effective data transmission, and network safety assurance. Its application will greatly improve the operational efficiency and safety of heating networks, and is of great significance to promoting the development of urban heating.
[0074] In one embodiment, such as Figure 4 As shown, a method for monitoring a heating network is provided. Taking the application of this method to the heating network monitoring system provided in the above embodiment as an example, the method includes the following steps:
[0075] S1, the microcontroller receives monitoring data in real time from multiple flow meters, temperature sensors, pressure sensors and level sensors from multiple data acquisition / execution modules, packages the acquired monitoring data and sends it to the cloud server; the cloud server forwards the monitoring data to the display control terminal; the display control terminal displays the monitoring data using a graphical interface;
[0076] S2, the microcontroller receives the target operating parameters of the heating network set by the display control terminal from the cloud server. Based on the target operating parameters and monitoring data of the heating network, it controls each data acquisition / execution module to adjust the state of the valves at the key positions, thereby realizing the dynamic adjustment of the supply and return water flow of the heating network.
[0077] Furthermore, the cloud server is also used to determine whether there is a leak at each critical location in the heating network based on monitoring data; if a leak is detected at a critical location in the heating network, an alarm is sent to the display and control terminal to remind maintenance personnel to handle the situation as soon as possible, minimizing resource waste and achieving energy conservation and emission reduction goals.
[0078] The process of determining whether leaks are detected at each critical location in the heating network includes:
[0079] Based on the monitoring data collected from multiple flow meters, multiple pressure sensors and multiple level sensors, it is determined whether the water flow at each key location is abnormal, and whether the water pressure and level at each key location have decreased.
[0080] If there is an abnormal water flow at a critical location, and the water pressure and liquid level at that critical location drop, then it is determined that there is a leak at that critical location.
[0081] In other words, real-time monitoring of water pressure, flow rate, and liquid level in the pipeline can indicate a leak if the water pressure suddenly drops, the flow rate increases or decreases abnormally, or the liquid level drops abnormally.
[0082] Furthermore, based on the target operating parameters and monitoring data of the heating network, the status of valves at key locations in each data acquisition / execution module is adjusted to achieve dynamic adjustment of the supply and return water flow rates of the heating network, including:
[0083] Based on monitoring data, understand the actual operating conditions of the heating network;
[0084] Compare the target operating parameters of the heating network with the actual operating data of the heating network;
[0085] Adjustment strategies are generated based on the deviation between the target operating parameters of the heating network and the actual operating data of the heating network.
[0086] According to the adjustment strategy, corresponding control signals are sent to the processor of each data acquisition / execution module, so that the processor of each data acquisition / execution module controls the valves at key positions to adjust the opening degree, thereby realizing the dynamic adjustment of the supply and return water flow of the heating network.
[0087] It should be understood that, although Figure 4 The steps in the flowchart are shown sequentially as indicated by the arrows, but these steps are not necessarily executed in the order indicated by the arrows. Unless otherwise specified in this document, there is no strict order in which these steps are executed, and they can be performed in other orders. Furthermore, Figure 4 At least some of the steps in the process may include multiple steps or multiple stages. These steps or stages are not necessarily completed at the same time, but may be executed at different times. The execution order of these steps or stages is not necessarily sequential, but may be executed in turn or alternately with other steps or at least some of the steps or stages in other steps.
[0088] In one embodiment, a computer device is provided, including a memory and a microcontroller. The memory stores a computer program, and when the microcontroller executes the computer program, it implements all or part of the processes in the heating network monitoring method provided in the above embodiments.
[0089] In one embodiment, a computer-readable storage medium is provided having a computer program stored thereon, which, when executed by a microcontroller, implements all or part of the processes in the heating network monitoring method provided in the above embodiments.
[0090] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium, and when executed, it can include the processes of the embodiments of the above methods. Any references to memory, storage, databases, or other media used in the embodiments provided in this application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, or optical storage, etc. Volatile memory can include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM), etc.
[0091] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.
[0092] The embodiments described above are merely illustrative of several implementation methods of this application, and while the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the invention patent. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of this application, and these all fall within the protection scope of this application. Therefore, the protection scope of this patent application should be determined by the appended claims.
Claims
1. A heating network monitoring system, characterized in that, include: Multiple data acquisition / execution modules are respectively installed at several key locations in the heating pipeline network; each data acquisition / execution module includes a flow meter, a temperature sensor, a pressure sensor, a liquid level sensor, a processor, and a first wireless communication module. The data output terminals of the flow meter, temperature sensor, pressure sensor, and liquid level sensor are all electrically connected to one data input terminal of the processor; the processor and the first wireless communication module are bidirectionally connected; the control signal output terminal of the processor is electrically connected to the control signal input terminal of the valve at the key location. The data transceiver control module includes a microcontroller and a second wireless communication module. The microcontroller and the second wireless communication module are bidirectionally connected. The second wireless communication module is used to establish bidirectional communication connections with each of the first wireless communication modules and the cloud server. The cloud server is bidirectionally connected to the display control terminal. The microcontroller is used to receive monitoring data collected by multiple flow meters, multiple temperature sensors, multiple pressure sensors, and multiple liquid level sensors from multiple data acquisition / execution modules in real time, and to package the acquired monitoring data and send it to the cloud server. It also receives the target operating parameters of the heating network set by the display control terminal from the cloud server, and controls each data acquisition / execution module to adjust the state of the valves at key locations based on the target operating parameters and monitoring data of the heating network, so as to realize the dynamic adjustment of the supply and return water flow of the heating network.
2. The heating network monitoring system according to claim 1, characterized in that, The heating network has several key locations, including the inlet and outlet of the heating network, user connection points, corners, branch and confluence points of pipelines, ends, intersections of main pipelines and branch pipelines, sloping sections of pipelines, and pump station inlets.
3. The heating network monitoring system according to claim 1, characterized in that, Each of the data acquisition / execution modules further includes a positioning module, the data output terminal of which is electrically connected to one of the data input terminals of the processor.
4. The heating network monitoring system according to claim 1, characterized in that, The first wireless communication module includes a first LoRa wireless communication module; the second wireless communication module includes a second LoRa wireless communication module and a mobile communication module, wherein the second LoRa wireless communication module is used to establish a bidirectional communication connection with each of the first LoRa wireless communication modules, and the mobile communication module is used to establish a bidirectional communication connection with the cloud server.
5. The heating network monitoring system according to claim 4, characterized in that, The mobile communication module is a 4G communication module or an NB-IoT communication module.
6. A method for monitoring a heating network, characterized in that, The method, applied to the heating network monitoring system provided in claim 1, comprises: The microcontroller receives real-time monitoring data from multiple flow meters, temperature sensors, pressure sensors, and level sensors from multiple data acquisition / execution modules, packages the acquired monitoring data, and sends it to the cloud server. The cloud server forwards the monitoring data to the display control terminal, which then displays the monitoring data using a graphical interface. The microcontroller receives the target operating parameters of the heating network set by the display control terminal from the cloud server. Based on the target operating parameters of the heating network and the monitoring data, it controls each data acquisition / execution module to adjust the state of the valves at key locations, thereby realizing the dynamic adjustment of the supply and return water flow of the heating network.
7. The heating network monitoring method according to claim 6, characterized in that, The cloud server is also used to determine whether there is a water leakage at each key location of the heating network based on the monitoring data; if it is determined that there is a water leakage at a certain key location of the heating network, an alarm prompt is sent to the display control terminal.
8. The heating network monitoring method according to claim 7, characterized in that, The determination of whether a leak has been detected at each critical location in the heating network includes: Based on the monitoring data collected from multiple flow meters, multiple pressure sensors and multiple level sensors, it is determined whether the water flow at each key location is abnormal, and whether the water pressure and level at each key location have decreased. If there is an abnormal water flow at a critical location, and the water pressure and liquid level at that critical location drop, then it is determined that there is a leak at that critical location.
9. The heating network monitoring method according to claim 6, characterized in that, The step of controlling the state of valves at key locations in each data acquisition / execution module to adjust the dynamic supply and return water flow of the heating network based on the target operating parameters and monitoring data of the heating network includes: Based on the monitoring data, we can understand the actual operating conditions of the heating network; The target operating parameters of the heating network are compared with the actual operating condition data of the heating network. An adjustment strategy is generated based on the deviation between the target operating parameters of the heating network and the actual operating condition data of the heating network. According to the adjustment strategy, corresponding control signals are sent to the processor of each data acquisition / execution module, so that the processor of each data acquisition / execution module controls the valve at the key position to adjust the opening degree, thereby realizing the dynamic adjustment of the supply and return water flow of the heating network.