Heat supply dispatching monitoring system

Abstract

The invention discloses a heat supply dispatching monitoring system, and aims to realize centralized control and unattended operation of a heat exchange station by integrating functional modules of temperature monitoring, heat load prediction, meteorological information, one-network balance, GIS geographic information and the like. The system comprises a temperature monitoring module which monitors the temperature of a key part of the heat exchange station in real time by using a remote bimetal thermometer and transmits data to a heat exchange station unit program control module. And the heat exchange station unit program control module is responsible for receiving and processing data to realize automatic control. The video monitoring module provides real-time monitoring through a hard disk video recorder and a camera, and safety is ensured. And the data acquisition and analysis module integrates data from each module, analyzes the data and generates a heat supply scheduling monitoring result. Through intelligent management, the system improves the heat supply efficiency, reduces the operation cost, enhances the safety, adapts to the future technical development, and meets the diversified requirements of users.

Description

Technical Field

[0001] The invention relates to the technical field of heating, and in particular to a heating scheduling monitoring system. Background Art

[0002] With the acceleration of urbanization, the demand for heating is increasing. Traditional heating systems are facing problems such as high operating costs, high labor costs and safety hazards. Existing heat exchange stations usually rely on manual operation, resulting in low efficiency, and aging equipment and backward technology, which affect heating efficiency and safety. In addition, unreasonable scheduling and operation often lead to energy waste and insufficient heating. Therefore, a new type of heating scheduling and monitoring system is urgently needed to realize intelligent management and optimized scheduling of the heating system, improve heating efficiency, reduce operating costs, and meet the diverse needs of users. Summary of the invention

[0003] Based on this, an embodiment of the present application provides a heating scheduling and monitoring system, which realizes centralized control and unmanned operation of the heat exchange station through industrial automatic control technology, computer technology and communication technology, thereby improving the intelligence and automation level of the heating system.

[0004] The present application provides a heating scheduling monitoring system, which includes:

[0005] The temperature monitoring module is used to monitor the temperature of key parts of the heat exchange station using a remote bimetallic thermometer; the thermometer is installed on the heat exchanger, pipeline, and valve to monitor temperature changes in real time and transmit the data to the program control module of the heat exchange station unit;

[0006] The heat exchange station unit program control module is used to receive and process data from the temperature monitoring module to achieve automatic control of the heat exchange station unit;

[0007] Video monitoring module, used to realize real-time video monitoring of the heat exchange station through hard disk recorder and camera;

[0008] The data acquisition and analysis module is used to collect data from the temperature monitoring module, the heat exchange station unit program control module and the video monitoring module, and summarize and analyze the data to obtain the heat supply scheduling monitoring results.

[0009] Optionally, the program control module of the heat exchange station unit receives and processes the data from the temperature monitoring module to realize automatic control of the heat exchange station unit, specifically including:

[0010] Preprocess the received data, including data verification, denoising and formatting, to ensure data accuracy and usability;

[0011] Make logical judgments based on pre-processed data and preset control parameters or control strategies;

[0012] According to the results of control logic judgment, the corresponding control commands are generated and implemented through the actuators to automatically adjust the operating status of the heat exchange station units;

[0013] After the control command is implemented, the remote bimetallic thermometer continues to monitor the temperature change to form a closed-loop control.

[0014] Optionally, according to the preprocessed data, in combination with preset control parameters or control strategies, logical judgment is performed, wherein the control parameters at least include temperature setting values ​​and pressure setting values; and the control strategy at least includes a PID control algorithm.

[0015] Optionally, according to the result of the control logic judgment, a corresponding control command is generated and implemented through an actuator to automatically adjust the operating state of the heat exchange station unit. The actuator specifically includes an electric control valve and a frequency converter. Adjusting the operating state of the heat exchange station unit includes adjusting the speed of the water pump and the opening of the valve.

[0016] Optionally, the data acquisition and analysis module collects data from the temperature monitoring module, the heat exchange station unit program control module and the video monitoring module, and summarizes and analyzes the data to obtain the heat supply scheduling monitoring results, specifically including:

[0017] Integrate data from different modules to form a unified data format and standard;

[0018] Analyze the integrated data, including statistical analysis, trend prediction, and fault diagnosis;

[0019] Use data mining and machine learning algorithms to extract information from data, including energy consumption analysis and thermal efficiency assessment;

[0020] Generate a heat supply dispatch monitoring report based on the analysis results; the heat supply dispatch monitoring report includes the system's operating efficiency, energy consumption, and fault warning;

[0021] Provides visual data dashboards to display key performance indicators and analysis results.

[0022] Optionally, the system also includes a heat load prediction function module for predicting the heat load demand of the heating system under different meteorological conditions through historical data and machine learning algorithms.

[0023] Optionally, the system also includes a meteorological information function module for providing necessary meteorological parameters for heat supply scheduling, including temperature, humidity, and wind speed, by integrating real-time meteorological data.

[0024] Optionally, the system also includes a network balancing function module for achieving hydraulic balance and thermal balance of the heating network, wherein the heat energy is evenly distributed in the entire network by monitoring and adjusting the flow and pressure in the heating network to avoid overheating or underheating.

[0025] Optionally, the system also includes a GIS geographic information function module for visually managing and analyzing the geographical location, pipeline layout, user distribution, etc. of the heating network using geographic information system technology.

[0026] Optionally, the system further includes a remote control and alarm module, which is used to automatically send an alarm message to the operator when an abnormal situation is detected; wherein the abnormal situation at least includes excessive temperature, abnormal pressure,

[0027] The beneficial effects brought by the technical solution provided by the embodiment of the present application include at least:

[0028] (1) Improve heating efficiency: Through real-time monitoring and intelligent adjustment, the heating scheduling monitoring system can accurately control the supply and demand of thermal energy, avoid energy waste, and significantly improve heating efficiency.

[0029] (2) Reduce operating costs: The system's automation and intelligent management reduce manual intervention, labor costs and maintenance costs, thereby reducing overall operating costs.

[0030] (3) Enhance system safety: Through real-time monitoring and fault alarm mechanisms, potential safety hazards can be discovered and dealt with in a timely manner to ensure the safe and stable operation of the heating system. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] In order to more clearly illustrate the implementation methods of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for the implementation methods or the description of the prior art. Obviously, the drawings in the following description are only exemplary, and for ordinary technicians in this field, other implementation drawings can be derived from the provided drawings without creative work.

[0032] Figure 1 A block diagram of a heating scheduling and monitoring system provided in an embodiment of the present application. DETAILED DESCRIPTION

[0033] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0034] The terms "comprise", "have" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, system, product or apparatus comprising a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may also include other steps or units that are not explicitly listed but are inherent to these processes, methods, products or apparatuses, or steps or units added based on further optimization schemes conceived by the present invention.

[0035] With the acceleration of urbanization, the demand for heating is increasing. Traditional heating systems are facing problems such as high operating costs, high labor costs and safety hazards. Existing heat exchange stations usually rely on manual operation, resulting in low efficiency, and aging equipment and backward technology, which affect heating efficiency and safety. In addition, unreasonable scheduling and operation often lead to energy waste and insufficient heating. Therefore, a new type of heating scheduling and monitoring system is urgently needed to realize intelligent management and optimized scheduling of the heating system, improve heating efficiency, reduce operating costs, and meet the diverse needs of users.

[0036] Specifically, please refer to Figure 1 , which shows a block diagram of a heating scheduling monitoring system provided in an embodiment of the present application, the system comprising:

[0037] The temperature monitoring module is used to monitor the temperature of key parts of the heat exchange station using a remote bimetallic thermometer. The thermometer is installed on the heat exchanger, pipeline, and valve to monitor temperature changes in real time and transmit the data to the program control module of the heat exchange station unit.

[0038] The heat exchange station unit program control module is used to receive and process data from the temperature monitoring module to achieve automatic control of the heat exchange station unit.

[0039] In the embodiment of the present application, the specific implementation process of realizing automatic control of the heat exchange station unit includes:

[0040] Data collection, temperature monitoring module uses remote bimetallic thermometers installed in key locations such as heat exchangers, pipes, valves, etc. to monitor temperature changes in real time. Temperature data is sent to the heat exchange station unit program control module in real time via wired or wireless transmission.

[0041] Data reception and preprocessing: The heat exchange station unit program control module receives data from the temperature monitoring module and preprocesses the received data, including data verification, denoising and formatting, to ensure data accuracy and availability.

[0042] Automatic control logic: The program control module of the heat exchange station unit makes logical judgments based on the pre-processed data, combined with the preset control strategy and parameters (such as temperature setting value, pressure setting value, etc.). The control strategy can be based on the PID (proportional-integral-differential) control algorithm or other advanced control algorithms to achieve precise control of the heat exchange station unit.

[0043] Execute the control command. According to the result of the control logic, the program control module of the heat exchange station unit generates the corresponding control command. The control command is implemented through the actuator (such as electric control valve, frequency converter, etc.) to automatically adjust the operating status of the heat exchange station unit, such as adjusting the speed of the water pump, the opening of the valve, etc.

[0044] Monitoring and feedback: After the control command is implemented, the remote bimetallic thermometer continues to monitor the temperature change to form a closed-loop control. Monitor the operating status of the heat exchange station unit to ensure that it operates under safe and stable conditions. The system updates data in real time and adjusts the control strategy based on the latest data to adapt to changes in heating demand.

[0045] The video monitoring module is used to realize real-time video monitoring of the heat exchange station through a hard disk recorder and a camera.

[0046] The data acquisition and analysis module is used to collect data from the temperature monitoring module, the heat exchange station unit program control module and the video monitoring module, and summarize and analyze the data to obtain the heat supply scheduling monitoring results.

[0047] In the embodiment of the present application, the specific implementation process of collecting data and analyzing to obtain the heating scheduling monitoring result includes:

[0048] Data acquisition, the temperature monitoring module, the heat exchange station unit program control module and the video monitoring module collect their own data respectively. The temperature monitoring module collects temperature data, the heat exchange station unit program control module collects control command execution and system operation status data, and the video monitoring module collects real-time video data.

[0049] Data transmission, all modules transmit the collected data to the data acquisition and analysis module.

[0050] Data integration, the data collection and analysis module integrates data from different modules to form a unified data format and standard.

[0051] Data analysis: analysis of the integrated data, including statistical analysis, trend prediction, fault diagnosis, etc. Use data mining and machine learning algorithms to extract valuable information from large amounts of data, such as energy consumption analysis, thermal efficiency evaluation, etc.

[0052] Generate monitoring results and generate heating dispatch monitoring reports based on the analysis results, including system operating efficiency, energy consumption, fault warnings, etc. Provide visual interfaces, such as data dashboards, to display key performance indicators and analysis results.

[0053] Decision support: The results of heat dispatch monitoring are used to support decision making, such as adjusting the heat supply plan, optimizing resource allocation, preventing and handling faults, etc. The system automatically adjusts the operating parameters based on the analysis results, or provides operation suggestions to the operator to achieve efficient and safe operation of the heating system.

[0054] In an optional embodiment of the present application, it also includes:

[0055] The heat load forecasting module is responsible for forecasting the heat load demand of the heating system under different meteorological conditions through historical data and machine learning algorithms. This module establishes a forecasting model by analyzing historical heating data, meteorological information and user heating habits to predict the heat load in a certain period of time in the future. This helps the heating system to adjust the heating plan in advance, optimize resource allocation, improve heating efficiency and reduce energy consumption.

[0056] The meteorological information function module integrates real-time meteorological data to provide necessary meteorological parameters for heating scheduling, such as temperature, humidity, wind speed, etc. These data are crucial for heat load forecasting because they directly affect the user's heating demand. This module can interface with external meteorological data services to update meteorological information in real time, ensuring that the heating system can adjust operating parameters in a timely manner according to weather changes.

[0057] The network balancing function module focuses on achieving hydraulic and thermal balance of the heating network. This module ensures that heat energy is evenly distributed throughout the network by monitoring and adjusting the flow and pressure in the heating network to avoid overheating or underheating. It may include automatic control of pump stations and regulating valves to achieve dynamic balance adjustment of the heating network and improve heating quality and system efficiency.

[0058] The GIS geographic information function module uses geographic information system (GIS) technology to visualize and analyze the geographical location, pipeline layout, user distribution, etc. of the heating network. This module can provide a map view of the heating network to help operators better understand the physical structure and spatial relationship of the heating system, so as to carry out effective planning, maintenance and fault diagnosis. The GIS module can also be combined with the heating load forecast and meteorological information modules to provide more accurate data analysis and decision support.

[0059] The remote control and alarm module is used to automatically send an alarm message to the operator when an abnormal situation is detected; wherein the abnormal situation at least includes excessive temperature and abnormal pressure.

[0060] The technical features of the above-described embodiments may be arbitrarily combined. To make the description concise, not all possible combinations of the technical features in the above-described 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.

[0061] The above-described embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be construed as limiting the scope of the patent application. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the patent application shall be subject to the attached claims.

Claims

1. A heating scheduling monitoring system, characterized in that: The system comprises: The temperature monitoring module is used to monitor the temperature of key parts of the heat exchange station using a remote bimetallic thermometer; the thermometer is installed on the heat exchanger, pipeline, and valve to monitor temperature changes in real time and transmit the data to the program control module of the heat exchange station unit; The heat exchange station unit program control module is used to receive and process data from the temperature monitoring module to achieve automatic control of the heat exchange station unit; Video monitoring module, used to realize real-time video monitoring of the heat exchange station through hard disk recorder and camera; The data acquisition and analysis module is used to collect data from the temperature monitoring module, the heat exchange station unit program control module and the video monitoring module, and summarize and analyze the data to obtain the heat supply scheduling monitoring results.

2. The system according to claim 1, characterized in that The program control module of the heat exchange station receives and processes the data from the temperature monitoring module to realize automatic control of the heat exchange station unit, including: Preprocess the received data, including data verification, denoising and formatting, to ensure data accuracy and usability; Make logical judgments based on pre-processed data and preset control parameters or control strategies; According to the results of control logic judgment, the corresponding control commands are generated and implemented through the actuators to automatically adjust the operating status of the heat exchange station units; After the control command is implemented, the remote bimetallic thermometer continues to monitor the temperature change to form a closed-loop control.

3. The system according to claim 2, characterized in that According to the preprocessed data, logical judgment is performed in combination with preset control parameters or control strategies, wherein the control parameters at least include temperature setting values ​​and pressure setting values; and the control strategy at least includes a PID control algorithm.

4. The system according to claim 2, characterized in that According to the results of control logic judgment, the corresponding control command is generated and implemented through the actuator to automatically adjust the operating status of the heat exchange station unit. The actuator specifically includes an electric control valve and a frequency converter. Adjusting the operating status of the heat exchange station unit includes adjusting the speed of the water pump and the opening of the valve.

5. The system according to claim 1, characterized in that The data acquisition and analysis module collects data from the temperature monitoring module, the heat exchange station unit program control module and the video monitoring module, and summarizes and analyzes the data to obtain the heat supply scheduling monitoring results, including: Integrate data from different modules to form a unified data format and standard; Analyze the integrated data, including statistical analysis, trend prediction, and fault diagnosis; Use data mining and machine learning algorithms to extract information from data, including energy consumption analysis and thermal efficiency assessment; Generate a heat supply dispatch monitoring report based on the analysis results; the heat supply dispatch monitoring report includes the system's operating efficiency, energy consumption, and fault warning; Provides visual data dashboards to display key performance indicators and analysis results.

6. The system according to claim 1, characterized in that The system also includes a heat load prediction function module for predicting the heat load demand of the heating system under different meteorological conditions through historical data and machine learning algorithms.

7. The system according to claim 1, characterized in that The system also includes a meteorological information function module for providing necessary meteorological parameters for heat supply scheduling, including temperature, humidity, and wind speed, by integrating real-time meteorological data.

8. The system according to claim 1, characterized in that The system also includes a network balancing function module for achieving hydraulic balance and thermal balance of the heating network, wherein the flow and pressure in the heating network are monitored and adjusted to ensure that heat energy is evenly distributed throughout the network to avoid overheating or underheating.

9. The system according to claim 1, characterized in that The system also includes a GIS geographic information function module, which is used to use geographic information system technology to visually manage and analyze the geographical location, pipeline layout, user distribution, etc. of the heating network.

10. The system according to claim 1, characterized in that The system also includes a remote control and alarm module, which is used to automatically send an alarm message to an operator when an abnormal situation is detected; wherein the abnormal situation at least includes excessive temperature and abnormal pressure.

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