Heat exchange station intelligent monitoring system applying digital twinning technology

Abstract

The invention discloses a heat exchange station intelligent monitoring system applying a digital twinning technology, which comprises a heat exchange station equipment unit, and the heat exchange station equipment unit comprises a plate heat exchanger, a circulating water pump, a pressure stabilizing make-up pump, a dirt filter, a parameter sensing system, an intelligent adjustment control system, a pipeline valve, an instrument, a computer and an equipment overall foundation, the plate heat exchanger is connected with the primary side water supply pipeline, the primary side water return pipeline, the secondary side water supply pipeline and the secondary side water return pipeline. Therefore, the system remotely optimizes equipment parameters, improves heat supply efficiency and reduces energy consumption by means of data acquisition and visualization, an anomaly detection and early warning module, real-time and accurate equipment monitoring, shutdown prevention, heat supply stability guarantee and a remote control and optimization module in combination with a digital twin model, and the predictive maintenance module accurately predicts the service life and faults of the equipment. And the computer is connected with the remote terminal, so that remote control is facilitated, and the management efficiency is improved.

Description

Technical Field

[0001] This application relates to the technical field of heat exchange station monitoring, and particularly to an intelligent monitoring system for heat exchange stations applying digital twin technology. Background Art

[0002] In the current heating field, as a key link in the central heating system, the operation efficiency and stability of heating exchange stations directly affect the heating quality and energy consumption. Most traditional heat exchange stations adopt the water-water heat exchange method, mainly consisting of plate heat exchangers, circulating pumps, pressure stabilizing make-up water pumps, dirt filters, parameter sensing systems, intelligent regulation control systems, pipeline valves, instruments, computers, and the overall foundation of the equipment. With the development of intelligent control technology, although unattended operation and remote monitoring of heat exchange stations have been realized, there are still many problems in the actual operation process.

[0003] On the one hand, the existing monitoring systems do not comprehensively and accurately monitor the equipment status. The data collected by the parameter sensing system can only be presented in a simple form, and it is impossible for managers to intuitively and deeply understand the operation status of the equipment. For example, it is difficult to effectively obtain and analyze key information such as the temperature distribution inside the plate heat exchanger and the real-time efficiency of the circulating pump. This makes it impossible to accurately judge the problem in a timely manner when the equipment has an abnormality, resulting in untimely maintenance and affecting the stability of heating.

[0004] On the other hand, in terms of equipment maintenance, traditional heat exchange stations mainly rely on manual experience for regular maintenance or repair after equipment failure. This method has obvious deficiencies. Regular maintenance may perform unnecessary inspections when the equipment is in good condition, wasting human and material resources; while repair after failure will increase the unplanned downtime, which not only affects the heating quality but also may cause greater economic losses. At the same time, due to the lack of effective means for predicting the equipment life and potential failures, it is impossible to formulate a reasonable maintenance plan in advance, making it difficult to ensure the long-term stable operation of the equipment.

[0005] In addition, with the rapid development of Internet, big data, and artificial intelligence technologies, digital intelligent heating has become an inevitable trend in the industry. However, the existing heat exchange station monitoring systems are difficult to make full use of these advanced technologies and cannot achieve intelligent management and optimized operation of the equipment. For example, in the face of complex changes in heating demand, it is impossible to quickly adjust the equipment parameters to achieve efficient heating, resulting in relatively serious energy waste.

[0006] In summary, the existing heat exchange station monitoring systems have deficiencies in equipment status monitoring, maintenance management, and intelligent operation. There is an urgent need for an innovative technical solution to solve these problems, improve the heating efficiency and management level of heat exchange stations, and reduce the equipment maintenance cost. Summary of the Invention

[0007] This application aims to solve at least one of the technical problems in the related art to a certain extent.

[0008] To this end, the first object of this application is to provide an intelligent monitoring system for heat exchange stations applying digital twin technology. Through the data acquisition and visualization module and the anomaly detection and early warning module, it can achieve real-time and accurate monitoring of the equipment status, promptly detect equipment anomalies and locate problems, effectively prevent downtime losses, and ensure the stability of heat supply.

[0009] The second object of this application is to provide an intelligent monitoring system for heat exchange stations applying digital twin technology. The remote control and optimization module combines with the digital twin model to remotely fine-tune and optimize equipment parameters, enabling the equipment to operate efficiently under different working conditions, improving heat supply efficiency, and reducing energy consumption.

[0010] The third object of this application is to provide an intelligent monitoring system for heat exchange stations applying digital twin technology. The predictive maintenance module accurately predicts equipment life and failure modes, automatically generates and optimizes maintenance plans, reduces unplanned downtime, lowers maintenance costs, improves the overall availability of the equipment, and saves maintenance expenses.

[0011] The fourth object of this application is to provide an intelligent monitoring system for heat exchange stations applying digital twin technology. The computer is connected to the remote terminal, and managers can remotely monitor, control the equipment, and view the maintenance plan, improving the convenience and timeliness of management.

[0012] To achieve the above object, an embodiment of the first aspect of the present application proposes an intelligent monitoring system for a heat exchange station applying digital twin technology, including: a heat exchange station equipment unit, the heat exchange station equipment unit includes a plate heat exchanger, a circulating water pump, a pressure stabilizing make-up water pump, a dirt filter, a parameter sensing system, an intelligent regulation and control system, pipeline valves, instruments, a computer and an overall equipment foundation. Among them, the plate heat exchanger is respectively connected to the primary side supply water pipeline, the primary side return water pipeline, the secondary side supply water pipeline and the secondary side return water pipeline to achieve heat exchange; the circulating water pump is installed on the secondary side supply water pipeline to promote the circulation of the secondary side water; the pressure stabilizing make-up water pump is connected to the secondary side pipeline to maintain the system pressure stable; the dirt filter is installed on the pipeline to filter impurities in the water and is located at the front end of the plate heat exchanger; the parameter sensing system is distributed on each equipment and pipeline to collect equipment operation parameters and medium parameters in the pipeline; the intelligent regulation and control system is respectively connected to the plate heat exchanger, the circulating water pump, the pressure stabilizing make-up water pump, the pipeline valves, the instruments and the computer to achieve the control of the entire heat exchange station; the pipeline valves are installed on each pipeline to control the flow rate and flow direction of the medium; the instruments are installed on the pipeline and equipment to monitor parameters such as pressure, temperature and flow rate; the computer, as the core of the monitoring system, is connected to the intelligent regulation and control system to receive and process data and achieve remote communication; the overall equipment foundation is used to support and fix the above-mentioned equipment;

[0013] A data acquisition and visualization module, the data acquisition and visualization module is based on digital twin technology and is connected to the parameter sensing system and the computer, and is used to accurately collect data such as real-time operation parameters and performance indicators of production equipment and display them in a three-dimensional visualization form on the display screen of the computer, so that managers can remotely and intuitively understand the equipment status; an abnormal detection and early warning module, the abnormal detection and early warning module is based on big data analysis and AI algorithms, and is connected to the data acquisition and visualization module and the computer, and makes an intelligent judgment on the equipment working state. Once an abnormality or potential failure risk occurs, an early warning is immediately triggered through the computer and the problem source is located;

[0014] A remote control and optimization module, the remote control and optimization module combines a digital twin model and is connected to the intelligent regulation and control system and the computer to achieve a real-time remote control function, and supports remotely fine-tuning and optimizing equipment parameters through the computer to improve the heating operation efficiency and heating quality of the equipment;

[0015] Predictive maintenance module, the predictive maintenance module includes: equipment life prediction submodule, which accurately predicts the remaining service life of key components by establishing a digital model of physical processes such as equipment wear and aging, combining historical operation data, and interacting with data stored in the computer, providing a scientific basis for preventive maintenance;

[0016] The fault mode recognition and diagnosis submodule uses machine learning technology to mine the operating characteristics of the equipment under different working conditions, connects with the data acquisition and visualization module, identifies and diagnoses possible fault modes, and formulates targeted maintenance plans in advance;

[0017] The intelligent maintenance plan submodule connects to the computer based on the equipment health assessment results to automatically generate and optimize preventive maintenance plans, reduce unplanned downtime, and improve the overall equipment availability.

[0018] According to an embodiment of the present application, an intelligent monitoring system for a heat exchange station using digital twin technology is disclosed. The intelligent monitoring system for a heat exchange station uses data collection and visualization, and abnormality detection and early warning modules to accurately monitor equipment in real time, prevent downtime, and ensure stable heating. The remote control and optimization module is combined with a digital twin model to remotely optimize equipment parameters, improve heating efficiency, and reduce energy consumption. The predictive maintenance module accurately predicts equipment life and failures, optimizes maintenance plans, and saves maintenance costs. Computers are connected to remote terminals to facilitate remote control by management personnel and improve management efficiency.

[0019] In addition, the heat exchange station intelligent monitoring system using digital twin technology proposed in the present application may also have the following additional technical features:

[0020] In one embodiment of the present application, the parameter sensing system includes a temperature sensor, a pressure sensor and a flow sensor, wherein the temperature sensors are respectively installed at key positions of the primary water supply pipe, the primary water return pipe, the secondary water supply pipe, the secondary water return pipe and the plate heat exchanger for measuring temperature; the pressure sensor is installed on the pipe and equipment for measuring pressure; the flow sensor is installed on the pipe for measuring medium flow.

[0021] In one embodiment of the present application, the intelligent regulation and control system includes a PLC controller, wherein the PLC controller is connected to a plate heat exchanger, a circulating water pump, a pressure-stabilizing water pump, a pipeline valve, an instrument, and a computer through electrical lines, receives data from each device and instrument, and controls the operation of each device according to a preset program.

[0022] In one embodiment of the present application, the computer is connected to a remote terminal via a network, and management personnel can access the computer via the remote terminal to achieve remote monitoring, control, and maintenance plan viewing of the heat exchange station equipment.

[0023] In one embodiment of the present application, the heat exchange station equipment unit further includes a tap water pipeline, a water softening device, an overflow pipe, a water tank, a sewage pipeline, and a sump. Among them, the tap water pipeline is connected to the water softening device to provide water source for the system; the water outlet of the water softening device is connected to the water tank; the water tank is connected to the pressure stabilizing make-up water pump through a pipeline to replenish water for the system; the overflow pipe is connected to the system pipeline for discharging excess water; the sewage pipeline is connected to the sewage outlets of each device for discharging dirt and impurities, and finally converges to the sump.

[0024] In one embodiment of the present application, the digital twin model is synchronized with the physical device in real time, and the operation state of the device is updated through the data acquisition and visualization module, supporting the remote control and optimization module to dynamically adjust the device parameters.

[0025] In one embodiment of the present application, the predictive maintenance module obtains the device operation data in real time through the data acquisition and visualization module, and predicts the device life and generates a maintenance plan in combination with the digital model.

[0026] Plate heat exchanger: Select the M3 series plate heat exchanger of Alfa Laval. This series features efficient heat exchange and a compact design. Its heat exchange area can be flexibly configured according to actual needs, and it can stably achieve heat exchange between the primary side and the secondary side water under different working conditions.

[0027] Circulating water pump: Adopt the CR15-5 type circulating water pump of Grundfos. It is specially designed for the circulating system, with the characteristics of energy saving and low noise. The flow range and head parameters can meet the circulating requirements of the secondary side water, ensuring that hot water can be stably delivered to the user end.

[0028] Pressure stabilizing make-up water pump: The PB-129EH type pressure stabilizing make-up water pump of Wilo can effectively maintain the system pressure stability. This model has the functions of automatic water replenishment and pressure stabilization, and can adjust the working state in a timely manner according to the system pressure change to ensure the normal operation of the heating system.

[0029] Dirt filter: Select the HF-Y-100 type Y filter of Haifeng, with a filtration accuracy of 100 meshes. It can effectively filter impurities in water, prevent them from entering the plate heat exchanger, and extend the service life of the equipment.

[0030] Parameter sensing system:

[0031] Temperature Sensor: Omron E5CC-Q temperature sensor is adopted, which can accurately measure the temperatures of the primary side water supply pipeline, primary side return water pipeline, secondary side water supply pipeline, secondary side return water pipeline, and key parts of the plate heat exchanger. This sensor has a fast response speed and high measurement accuracy, and can provide accurate temperature data for the system.

[0032] Pressure Sensor: Honeywell PXM5100 series pressure sensors can be installed on pipelines and equipment, with a measurement range of 0 - 1.6 MPa. They can accurately measure the system pressure and meet the pressure monitoring requirements of this heat exchange station.

[0033] Flow Sensor: Krohne OPTIFLUX2300C electromagnetic flowmeter has high-precision measurement and stability. It can accurately measure the flow rate of the medium in the pipeline, is applicable to various media such as water, and provides reliable data for system flow monitoring.

[0034] Intelligent Regulation and Control System

[0035] PLC Controller: Siemens S7-1200 series CPU1214C PLC controller has powerful computing capabilities and rich interface resources. It is connected to the plate heat exchanger, circulating water pump, pressure stabilizing and makeup water pump, pipeline valves, instruments, and computer through electrical circuits. It can receive and process data from various devices and instruments, and accurately control the operation of the devices according to the preset program.

[0036] Pipeline Valve: Rexroth 4WE6 series electromagnetic directional control valves can accurately control the flow rate and flow direction of the medium. This series of valves has sensitive actions and reliable operation, and can quickly adjust the flow rate and flow direction of the medium in the pipeline according to the system requirements.

[0037] Pressure Instrument: Rosemount 3051 series pressure transmitters are used to accurately measure the pressure of pipelines and equipment. It works in coordination with the pressure sensor and can accurately transmit the pressure data to the PLC controller to ensure the accuracy of pressure monitoring.

[0038] Temperature Instrument: Eurotherm 3204 type temperature controller can display temperature data in real time. It cooperates with the temperature sensor and can intuitively display the temperatures of various parts, facilitating operators to monitor and adjust temperature parameters.

[0039] Flow Instrument: Krohne UFM100 ultrasonic flowmeter works together with the flow sensor and can accurately measure the flow rate of the medium, providing accurate data for the flow regulation and energy management of the system.

[0040] Softening water device: Adopt Runxin full-automatic softening water equipment, model F63, which can effectively remove calcium, magnesium and other ions in water, reduce the hardness of water, prevent system scaling and protect the equipment.

[0041] Water tank: Stainless steel water tank, with the material of SUS304 and the specification of 2m 3 , which has the characteristics of corrosion resistance and good sealing performance, is used to store softened water and provide a stable water source for the voltage stabilizing make-up water pump.

[0042] The digital twin technology software involved in the data acquisition and visualization module can select the 3DEXPERIENCE platform of Dassault Systèmes. This platform has powerful data processing, 3D modeling and visualization functions, and can convert the data collected by the parameter sensing system into intuitive 3D visualization images and display them on the computer display screen, facilitating the management personnel to remotely and intuitively understand the equipment status.

[0043] The big data analysis and AI algorithms relied on by the anomaly detection and early warning module can be developed based on the Python language platform, using the Scikit-learn machine learning library and the TensorFlow deep learning framework. Through the learning and analysis of a large amount of historical data and real-time data, the intelligent judgment of the equipment working status and anomaly early warning are realized.

[0044] The digital twin model used in the remote control and optimization module can be built based on ANSYS TwinBuilder to ensure real-time synchronization with the physical equipment and provide an accurate basis for remote control and optimization. The remote communication network can adopt 5G network or industrial Ethernet to ensure the stability and real-time of data transmission and realize the remote fine-tuning and optimization of equipment parameters.

[0045] The advantages of this application compared with the existing technologies are as follows:

[0046] (1) Through the data acquisition and visualization module and the anomaly detection and early warning module, the real-time and accurate monitoring of the equipment status is realized, the equipment anomalies can be found in time and the problems can be located, the downtime losses can be effectively prevented, and the stability of heat supply can be guaranteed.

[0047] (2) The remote control and optimization module combines with the digital twin model, and the equipment parameters can be remotely fine-tuned and optimized, so that the equipment can maintain efficient operation under different working conditions, improve the heat supply efficiency and reduce the energy consumption.

[0048] (3) The predictive maintenance module accurately predicts the equipment life and failure mode, automatically generates and optimizes the maintenance plan, reduces the unplanned downtime, reduces the maintenance cost, improves the overall availability of the equipment, and saves the maintenance cost.

[0049] (4) The computer is connected to the remote terminal, and the management personnel can remotely monitor, control the equipment, and view the maintenance plan, improving the convenience and timeliness of management.

[0050] Additional aspects and advantages of the present application will be given in part in the following description, become apparent in part from the following description, or be learned through the practice of the present application. Brief Description of the Drawings

[0051] The above-mentioned and / or additional aspects and advantages of the present application will become apparent and be easily understood from the following description of the embodiments in conjunction with the drawings, where:

[0052] Figure 1 FIG. is a process system diagram of a heat exchange station intelligent monitoring system applying digital twin technology according to an embodiment of the present application;

[0053] Figure 2 FIG. is a schematic flow diagram of a heat exchange station of a heat exchange station intelligent monitoring system applying digital twin technology according to an embodiment of the present application;

[0054] Figure 3 FIG. is a layout diagram of control cabinet components of a heat exchange station intelligent monitoring system applying digital twin technology according to an embodiment of the present application;

[0055] Figure 4 FIG. is a primary electrical schematic diagram of a heat exchange station intelligent monitoring system applying digital twin technology according to an embodiment of the present application;

[0056] Figure 5 FIG. is a primary electrical schematic diagram of a heat exchange station intelligent monitoring system applying digital twin technology according to another embodiment of the present application;

[0057] Figure 6 FIG. is a secondary electrical schematic diagram of a heat exchange station intelligent monitoring system applying digital twin technology according to an embodiment of the present application;

[0058] Figure 7 FIG. is a secondary electrical schematic diagram of a heat exchange station intelligent monitoring system applying digital twin technology according to another embodiment of the present application;

[0059] Figure 8 FIG. is a program flow chart of the automatic control system of a heat exchange station of a heat exchange station intelligent monitoring system applying digital twin technology according to an embodiment of the present application;

[0060] Figure 9 FIG. is a wiring diagram of the PLC automatic control principle of a heat exchange station intelligent monitoring system applying digital twin technology according to an embodiment of the present application.

[0061] As shown in the figure: 1. Plate heat exchanger; 2. Circulating water pump; 3. Pressure stabilizing and makeup water pump; 4. Dirt filter; 5. Parameter sensing system; 6. Intelligent regulation and control system; 7. Pipeline valve; 8. Instrument; 9. Computer; 10. Overall equipment foundation; 11. Remote terminal; 12. Tap water pipeline; 13. Softening water device; 14. Overflow pipe; 15. Water tank; 16. Drainage pipeline; 17. Sump; 51. Temperature sensor; 52. Pressure sensor; 53. Flow sensor; 61. PLC controller. Detailed implementation mode

[0062] The embodiments of the present application will be described in detail below. The examples of the embodiments are shown in the accompanying drawings, where the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below by referring to the accompanying drawings are exemplary and are intended to explain the present application, and should not be construed as a limitation of the present application. On the contrary, the embodiments of the present application include all changes, modifications and equivalents falling within the spirit and scope of the appended claims.

[0063] The intelligent monitoring system of a heat exchange station applying digital twin technology according to an embodiment of the present application will be described below with reference to the accompanying drawings.

[0064] As Figures 1 - 9 shown, an intelligent monitoring system of a heat exchange station applying digital twin technology according to an embodiment of the present application may include a heat exchange station equipment unit, a data acquisition and visualization module, an anomaly detection and warning module, a remote control and optimization module, a predictive maintenance module, a fault mode recognition and diagnosis sub-module, and a maintenance plan intelligent sub-module.

[0065] It can be understood that the heat exchange station equipment unit is the foundation. The plate heat exchanger 1 is connected to the supply and return water pipelines on the primary side and the secondary side to achieve heat exchange. The circulating water pump 2 is installed on the secondary side supply pipeline to push the water on the secondary side to circulate continuously, ensuring that heat can be continuously delivered to the user end. The pressure stabilizing and makeup water pump 3 is connected to the secondary side pipeline to maintain the system pressure stability and ensure the stable operation of the heating system. The dirt filter 4 is installed on the pipeline in front of the plate heat exchanger 1 to filter impurities in the water and prevent them from entering the plate heat exchanger and affecting the heat exchange effect and equipment life.

[0066] The temperature sensors, pressure sensors, flow sensors, etc. of the parameter sensing system 5 are distributed on various devices and pipelines to collect the real-time operating parameters of the devices and the medium parameters in the pipelines. The intelligent regulation and control system 6 is connected to the plate heat exchanger 1, the circulating water pump 2, the pressure stabilizing and makeup water pump 3, the pipeline valve 7, the instrument 8, and the computer 9 through electrical circuits, receives the data of each device and instrument, and controls the operation of each device according to the preset program. The pipeline valve 7 is installed on each pipeline to control the medium flow rate and flow direction to regulate the system operation. The instrument 8 monitors parameters such as pressure, temperature, and flow rate to provide data support for system control. The computer 9 serves as the core, receives and processes data, and realizes remote communication. The overall equipment foundation 10 supports and fixes the above-mentioned equipment to ensure the stable operation of the equipment.

[0067] The data acquisition and visualization module is based on digital twin technology, is connected to the parameter sensing system 5 and the computer 9, collects data such as the real-time operating parameters and performance indicators of the production equipment, and displays them in a three-dimensional visualization form on the display screen of the computer 9, facilitating the management personnel to remotely and intuitively understand the equipment status.

[0068] The anomaly detection and warning module is based on big data analysis and AI algorithms, and is connected to the data acquisition and visualization module and the computer 9. When the working state of the equipment is abnormal or there is a potential fault risk, it immediately triggers a warning through the computer 9 and locates the source of the problem so as to take measures in time.

[0069] The remote control and optimization module combines the digital twin model and is connected to the intelligent regulation and control system 6 and the computer 9. The management personnel can remotely fine-tune and optimize the equipment parameters through the computer 9, such as adjusting the rotation speed of the circulating water pump 2, the opening degree of the pipeline valve 7, etc., to improve the heating operation efficiency and heating quality of the equipment.

[0070] The predictive maintenance module plays an important role. The equipment life prediction sub-module accurately predicts the remaining service life of key components by establishing a digital model of physical processes such as equipment wear and aging, combining historical operation data with the data stored in the computer 9, providing a scientific basis for preventive maintenance. The fault mode recognition and diagnosis sub-module uses machine learning technology to mine the operation characteristics of the equipment under different working conditions, is connected to the data acquisition and visualization module, identifies and diagnoses possible fault modes, and formulates targeted maintenance plans in advance. The maintenance plan intelligent sub-module is connected to the computer 9 according to the evaluation result of the equipment health status, automatically generates and optimizes the preventive maintenance plan, reduces the unplanned downtime, and improves the overall availability of the equipment.

[0071] In an embodiment of the present application, as Figures 1 - 9 shown, the parameter sensing system 5 plays a key role in accurately obtaining the equipment operation status and medium parameters. The temperature sensor 51, pressure sensor 52, and flow sensor 53 included therein have clear division of labor and work together.

[0072] It can be understood that the temperature sensor 51 is accurately installed at key positions of the primary side water supply pipeline, the primary side return water pipeline, the secondary side water supply pipeline, the secondary side return water pipeline, and the plate heat exchanger 1. On the primary side water supply pipeline, it monitors in real time the hot water temperature entering the plate heat exchanger 1, and this temperature value is crucial for judging the heat source supply situation. For example, if the primary side water supply temperature is too low, it may mean that there is a problem with the heat source, and the heat source equipment needs to be checked in time. On the primary side return water pipeline, the temperature sensor 51 measures the return water temperature after heat exchange by the plate heat exchanger 1. By comparing the supply and return water temperatures, the heat exchange efficiency of the plate heat exchanger 1 can be evaluated.

[0073] For the secondary side water supply and return water pipelines, the temperature sensor 51 also plays an important role. The secondary side water supply temperature is directly related to the heating quality at the user end. If the temperature is too high or too low, it will affect the user experience. By monitoring this temperature, the intelligent adjustment control system 6 can timely adjust the rotation speed of the circulation pump 2 or other equipment parameters to ensure an appropriate water supply temperature. The secondary side return water temperature reflects the heat consumption situation at the user end and provides a reference for the operation adjustment of the system. The temperature sensor 51 installed at the key position of the plate heat exchanger 1 can accurately measure the temperature distribution inside the heat exchanger, which helps to timely detect possible problems such as local overheating or uneven heat exchange inside the heat exchanger.

[0074] The pressure sensor 52 is installed on pipelines and equipment. On the pipeline, it monitors the pressure situation of the medium inside the pipeline. When the pressure is too high, it may indicate that there is a blockage in the pipeline or the system is operating abnormally. At this time, the pressure sensor 52 transmits the pressure data to the intelligent adjustment control system 6, and the system will take corresponding measures according to the preset program, such as adjusting the opening degree of the pipeline valve 7 to relieve the pressure. On equipment such as the circulation pump 2 and the pressure stabilizing and makeup water pump 3, the pressure sensor 52 monitors the pressures at the inlet and outlet of the equipment to judge whether the working state of the equipment is normal. If the outlet pressure of the circulation pump 2 is abnormal, it may mean that the pump has a fault and needs to be repaired or replaced in time.

[0075] The flow sensor 53 is installed on the pipeline and is mainly used to measure the medium flow rate. On the primary side and secondary side water supply pipelines, the flow rate data measured by the flow sensor 53 is crucial for evaluating the heating capacity and heat transfer efficiency of the system. By monitoring the flow rate, the intelligent adjustment control system 6 can adjust the equipment operation parameters according to the actual demand. For example, when it is found that the secondary side water supply flow rate is insufficient, the system can increase the rotation speed of the circulation pump 2 to increase the water supply flow rate and ensure that the user end can obtain sufficient heat. At the same time, the flow rate data can be combined with the temperature data to accurately calculate the heat supply of the system, providing a basis for energy management and cost accounting.

[0076] All kinds of sensors in the parameter sensing system 5 continuously collect data and transmit this data to the intelligent regulation and control system 6 and the computer 9. The computer 9 analyzes and processes this data and presents it to the management personnel in an intuitive manner through the data acquisition and visualization module, facilitating their real-time grasp of the system operation status. Once the data shows an anomaly, the anomaly detection and early warning module will quickly respond, trigger an early warning and locate the source of the problem, providing strong support for ensuring the stable operation of the heat exchange station.

[0077] In an embodiment of the present application, as Figures 1 - 9 shown, the PLC controller 61 in the intelligent regulation and control system 6 is the core component for realizing the automatic control of the system. It is closely connected to the plate heat exchanger 1, the circulating water pump 2, the pressure stabilizing and makeup water pump 3, the pipeline valve 7, the instrument 8, and the computer 9 through electrical circuits, and cooperates to complete the precise control of the entire heat exchange station.

[0078] It can be understood that after the system is started, the instrument 8 continuously monitors parameters such as the pressure, temperature, and flow rate of the pipeline and equipment, and transmits this data to the PLC controller 61 through electrical circuits. For example, the temperature instrument measures the primary side supply water temperature, the secondary side return water temperature, etc., the pressure instrument monitors the pressure inside the pipeline, and the flow rate instrument obtains the medium flow rate data. At the same time, data related to the operation status of the plate heat exchanger 1, the circulating water pump 2, and the pressure stabilizing and makeup water pump 3 will also be transmitted to the PLC controller 61, such as data related to the heat exchange efficiency of the plate heat exchanger 1, the rotation speed of the circulating water pump 2, etc.

[0079] After receiving this data, the PLC controller 61 will compare and analyze it with the internal preset program. The preset program is set according to the operation requirements of the heat exchange station and the optimal parameters under various working conditions. Assuming that the secondary side supply water temperature is lower than the preset value, the PLC controller 61 makes a decision based on the preset program. On the one hand, it sends an instruction to the circulating water pump 2, controls the circulating water pump 2 to increase the rotation speed through the electrical circuit, thereby increasing the circulating flow rate of the secondary side water, allowing more hot water to flow to the user end, and raising the secondary side supply water temperature. On the other hand, the PLC controller 61 controls the pipeline valve 7 to adjust the opening degree, changing the flow rate and flow direction of the medium. For example, it appropriately increases the opening degree of the primary side supply water pipeline valve 7, allowing more high-temperature primary side water to enter the plate heat exchanger 1, enhancing the heat exchange effect, and thus raising the secondary side supply water temperature.

[0080] When the system pressure shows an anomaly, the pressure stabilizing and makeup water pump 3 comes into play. If the system pressure is lower than the preset lower limit, the PLC controller 61 will control the pressure stabilizing and makeup water pump 3 to start, send a start signal through the electrical circuit, and let the pressure stabilizing and makeup water pump 3 pump water from the water tank and supplement it to the secondary side pipeline to maintain the system pressure stability; if the pressure is higher than the preset upper limit, the PLC controller 61 will control the pressure stabilizing and makeup water pump 3 to stop working or adjust its working frequency to avoid potential safety hazards caused by excessive system pressure.

[0081] Throughout the process, the PLC controller 61 also interacts with the computer 9 in terms of data. It transmits information such as equipment operation data and the execution status of control instructions to the computer 9 for storage and analysis. The computer 9 can deeply process this data to generate operation reports, trend charts, etc., facilitating managers to comprehensively understand the operation status of the heat exchange station. Meanwhile, managers can also send instructions to the PLC controller 61 through the computer 9 to modify some parameters in the preset program to adapt to different operation requirements. For example, during different seasons or different heating periods, the set values of heating temperature, pressure, etc. can be adjusted to achieve flexible control of the heat exchange station.

[0082] Through the coordinated work of the PLC controller 61 with various equipment and instruments, and based on the analysis and processing of data and the output of instructions according to the preset program, the entire heat exchange station realizes automated and intelligent operation control, ensuring the stability and efficiency of heating.

[0083] In an embodiment of the present application, as Figures 1 - 9 shown, the computer 9 is connected to the remote terminal 11 through a network. Managers can access the computer 9 through the remote terminal 11 to achieve remote monitoring, control, and viewing of the maintenance plan of the heat exchange station equipment.

[0084] It can be understood that when managers need to monitor, control, or view the maintenance plan of the heat exchange station equipment, they first start the relevant application program on the remote terminal 11. The remote terminal 11 sends a connection request to the computer 9 through the network. After receiving the request, the computer 9 verifies the access permission of the remote terminal 11. If the permission passes, a stable network connection is established between the two.

[0085] When realizing remote monitoring, the computer 9 transmits the real-time data collected from devices such as the parameter sensing system 5 and the instrument 8, as well as the three-dimensional visualization information processed by the data acquisition and visualization module, to the remote terminal 11 through the network. This data includes the temperatures of the primary side supply pipe and the secondary side return pipe (collected by the temperature sensor 51), the pressure inside the pipe (collected by the pressure sensor 52), the medium flow rate (collected by the flow sensor 53), and the operation status data of equipment such as the plate heat exchanger 1, the circulating water pump 2, and the pressure stabilizing and makeup water pump 3. Managers can intuitively see this information on the screen of the remote terminal 11 and understand the operation status of the heat exchange station equipment in real time. For example, if it is found that the temperature of the secondary side supply water rises abnormally, managers can detect it in time and take corresponding measures.

[0086] When performing remote control, the management personnel input control instructions on the remote terminal 11, such as adjusting the rotation speed of the circulating water pump 2, changing the opening degree of the pipeline valve 7, etc. These instructions are transmitted to the computer 9 through the network. After receiving the instructions, the computer 9 forwards them to the PLC controller 61 in the intelligent regulation control system 6. The PLC controller 61 controls the corresponding equipment to perform operations according to the instructions through electrical circuits. For example, when it is necessary to reduce the secondary side water supply temperature, the PLC controller 61 will control the circulating water pump 2 to increase the rotation speed, increase the circulation volume of the secondary side water, or adjust the pipeline valve 7 to reduce the amount of hot water entering the plate heat exchanger 1 from the primary side, thereby reducing the secondary side water supply temperature and achieving precise remote control of the equipment.

[0087] When viewing the maintenance plan, the computer 9 retrieves the maintenance plan data generated by the predictive maintenance module from the storage device, including the remaining service life of key components predicted by the equipment life prediction sub-module, the targeted maintenance plan formulated by the fault mode identification and diagnosis sub-module, and the optimized preventive maintenance plan of the maintenance plan intelligent sub-module. These data are transmitted to the remote terminal 11 through the network. The management personnel can view the detailed content of the maintenance plan on the remote terminal 11, such as when to clean the plate heat exchanger 1 and when to replace the vulnerable parts of the circulating water pump 2. This helps the management personnel arrange maintenance work in advance, reasonably allocate maintenance resources, reduce unplanned downtime, and improve the overall availability of the equipment.

[0088] During the entire remote management process, the stability of the network connection is crucial. The system will monitor the network status in real time. If a network failure occurs, the computer 9 will record the relevant information and synchronize the data in a timely manner after the network is restored to ensure the continuity and accuracy of remote monitoring, control, and maintenance plan viewing. Through the close cooperation between the computer 9 and the remote terminal 11, the management personnel can efficiently complete the management work of the heat exchange station equipment without having to visit the heat exchange station site.

[0089] In an embodiment of the present application, as Figures 1 - 9 shown, the tap water pipeline 12, the softening water device 13, the overflow pipe 14, the water tank 15, the sewage pipeline 16, and the sump 17 of the heat exchange station equipment unit cooperate together to ensure the stable operation of the system.

[0090] It can be understood that when the heat exchange station is operating, the tap water first flows into the softening water device 13 through the tap water pipeline 12. The tap water pipeline 12 serves as the water source input channel, continuously supplying raw water to the system. The softening water device 13 softens the tap water, removing minerals such as calcium and magnesium in the water to prevent these impurities from scaling in the system pipelines and equipment, affecting the equipment performance and service life. The water after softening treatment flows out from the outlet of the softening water device 13 and enters the water tank 15 through the connecting pipeline.

[0091] The water tank 15 serves to store softened water and provides a stable water source for the pressure stabilizing make-up water pump 3. When the system pressure drops and water needs to be replenished, the pressure stabilizing make-up water pump 3 starts, extracts softened water from the water tank 15, and supplements the water into the secondary pipeline through the pipeline to maintain the stability of the system pressure. For example, when the user water consumption decreases at night and the system pressure drops, the pressure stabilizing make-up water pump 3 pumps water from the water tank 15 to supplement the system water volume and ensure the normal operation of the system.

[0092] During the operation of the system, due to various reasons (such as changes in user-side water consumption, equipment failures, etc.), the water pressure in the system may be too high or the water volume may be too much. At this time, the overflow pipe 14 comes into play. The overflow pipe 14 is connected to the system pipeline. When the pressure or water volume in the system exceeds the set threshold, the excess water will be automatically discharged through the overflow pipe 14 to prevent the system from damaging equipment due to excessive pressure and ensure the safe and stable operation of the system. The discharged water can be reasonably treated or discharged according to the actual situation.

[0093] With the operation of the heat exchange station equipment, dirt and impurities will accumulate inside each equipment (such as the plate heat exchanger 1, the circulating water pump 2, etc.). These dirt and impurities are discharged through the drain ports of each equipment, and the drain pipeline 16 connected to the drain ports collects these dirt and impurities. The drain pipeline 16 transports the collected dirt and impurities to the sump 17. The sump 17 is used to centrally store these dirt and impurities, which is convenient for regular cleaning and treatment, and avoids the accumulation of dirt and impurities in the system, affecting the normal operation of the equipment.

[0094] Through the coordinated work of the tap water pipeline 12, the softened water device 13, the overflow pipe 14, the water tank 15, the drain pipeline 16 and the sump 17, the heat exchange station equipment unit realizes functions such as water source supply, water quality treatment, water volume regulation and dirt and impurity cleaning, providing a strong guarantee for the stable operation of the entire heat exchange station.

[0095] In an embodiment of the present application, as Figures 1 - 9 shown, the digital twin model is synchronized with the physical equipment in real time, updates the equipment operation status through the data acquisition and visualization module, and supports the remote control and optimization module to dynamically adjust the equipment parameters.

[0096] It can be understood that, first of all, the parameter sensing system 5 plays an important role. The temperature sensors 51 are respectively installed at key parts of the primary side supply pipeline, the primary side return pipeline, the secondary side supply pipeline, the secondary side return pipeline and the plate heat exchanger 1 to measure the temperature at each place in real time; the pressure sensors 52 are installed on the pipelines and equipment to accurately measure the pressure; the flow sensors 53 are installed on the pipelines to accurately measure the medium flow rate. These sensors continuously collect the equipment operation parameters and the medium parameters in the pipeline, such as the primary side supply water temperature, the secondary side return water pressure, the circulating water flow rate, etc., and transmit the data to the data acquisition and visualization module.

[0097] After the data acquisition and visualization module receives the data transmitted by the parameter sensing system 5, it processes the data based on digital twin technology. It converts this real-time data into virtual three-dimensional model data and displays the operating status of the device on the display screen of the computer 9 in the form of three-dimensional visualization, enabling the management personnel to intuitively understand the device status remotely. At the same time, this real-time data is used to update the status information of the corresponding physical device in the digital twin model, realizing the real-time synchronization between the digital twin model and the physical device. For example, when the temperature sensor 51 detects an increase in the temperature of a certain part of the plate heat exchanger 1, the data acquisition and visualization module will not only prominently display this temperature change on the display screen of the computer 9, but also immediately update the corresponding temperature parameter of the plate heat exchanger 1 in the digital twin model to ensure that the status of the digital twin model is completely consistent with that of the physical device.

[0098] When the management personnel need to adjust the device parameters, they will access the computer 9 through the remote terminal 11 and operate on the interface of the remote control and optimization module. For example, when it is found that the secondary side water supply temperature is too high, the management personnel send an instruction through the remote terminal 11, which is transmitted to the remote control and optimization module through the computer 9. The remote control and optimization module combines the digital twin model and calculates an appropriate adjustment strategy according to the real-time status of the current device and the instruction requirements. Since the digital twin model is synchronized with the physical device in real time, it can accurately reflect the current status of the device and provide a reliable basis for formulating the adjustment strategy.

[0099] Subsequently, the remote control and optimization module sends the adjustment instruction to the PLC controller 61 in the intelligent regulation and control system 6. After receiving the instruction, the PLC controller 61 controls the relevant devices to perform the adjustment operation through the electrical circuit. For example, it controls the circulation pump 2 to reduce the rotation speed and reduce the circulation volume of the secondary side water, thereby reducing the secondary side water supply temperature; or it controls the pipeline valve 7 to adjust the opening degree to change the flow rate and flow direction of the medium, realizing the precise control of the secondary side water supply temperature.

[0100] Throughout the process, the data acquisition and visualization module continuously monitors the changes in the device operation parameters and timely feeds the new data back to the digital twin model and the remote control and optimization module. In this way, after dynamically adjusting the device parameters, the adjustment effect can be evaluated in real time. If the expected goal is not achieved, the adjustment can be carried out again to ensure that the device is always in the best operating state.

[0101] Through the real-time synchronization between the digital twin model and the physical device, as well as the collaborative work of the data acquisition and visualization module, the remote control and optimization module and other system components, the dynamic adjustment of the heat exchange station device parameters is realized, improving the heating operation efficiency and heating quality of the device.

[0102] In an embodiment of the present application, as Figures 1 - 9As shown, the predictive maintenance module obtains the device operation data in real time through the data acquisition and visualization module, combines the digital model to predict the device life and generates a maintenance plan.

[0103] It can be understood that during the system operation, the temperature sensor 51, pressure sensor 52 and flow sensor 53 in the parameter sensing system 5 continuously collect the device operation parameters and the medium parameters in the pipeline. The temperature sensor 51 is installed at the key parts of the primary side supply pipeline, primary side return pipeline, secondary side supply pipeline, secondary side return pipeline and the plate heat exchanger 1 to measure the temperature in real time; the pressure sensor 52 is installed on the pipeline and the device to measure the pressure; the flow sensor 53 is installed on the pipeline to measure the medium flow rate. These sensors transmit the collected data to the data acquisition and visualization module.

[0104] After receiving the data from the parameter sensing system 5, the data acquisition and visualization module processes it based on the digital twin technology. On the one hand, it displays the operation status of the device in the form of three-dimensional visualization on the display screen of the computer 9, facilitating the management personnel to intuitively understand the device situation; on the other hand, it transmits these real-time data to the predictive maintenance module in real time.

[0105] The device life prediction sub-module in the predictive maintenance module, by establishing a digital model of the physical processes such as device wear and aging, combines with the historical operation data, interacts with the data stored in the computer 9, and accurately predicts the remaining service life of the key components. For example, for the circulating water pump 2, the device life prediction sub-module will use the digital model to predict the remaining service life of its key components such as the impeller and bearing according to its working hours, operation frequency, load conditions and related operation data such as temperature and pressure.

[0106] At the same time, the fault mode recognition and diagnosis sub-module uses machine learning technology to mine the operation characteristics of the device under different working conditions. This sub-module is connected to the data acquisition and visualization module, receives the real-time device operation data, compares the current operation characteristics with the established fault mode feature library, and identifies and diagnoses possible fault modes. For example, when the heat exchange efficiency of the plate heat exchanger 1 decreases and is accompanied by abnormal fluctuations in temperature and pressure, the fault mode recognition and diagnosis sub-module can judge possible faults such as plate fouling and pipeline blockage, and formulate a targeted maintenance plan in advance.

[0107] Based on the results of equipment life prediction and fault mode diagnosis, the intelligent sub-module of the maintenance plan connects to the computer 9 according to the evaluation results of the equipment health status, and automatically generates and optimizes the preventive maintenance plan. For example, if the equipment life prediction sub-module predicts that a certain key component is about to reach its service life, and the fault mode identification and diagnosis sub-module discovers potential fault risks in the equipment, the intelligent sub-module of the maintenance plan will comprehensively consider these factors, combined with the actual operation situation, to generate a detailed maintenance plan, including maintenance time, maintenance content, required spare parts, etc. At the same time, this sub-module will also dynamically optimize the maintenance plan according to the real-time operation data of the equipment to ensure the scientificity and effectiveness of the maintenance plan, reduce the unplanned downtime, and improve the overall availability of the equipment.

[0108] During the entire predictive maintenance process, the predictive maintenance module continuously obtains the latest equipment operation data from the data acquisition and visualization module, and updates the equipment status information in real time, making the prediction and maintenance plan more accurate and reliable. In this way, active maintenance of the heat exchange station equipment is realized, effectively reducing the occurrence of equipment failures and ensuring the stable operation of the heat exchange station.

[0109] It should be noted that the control method of this application can be automatically controlled by a controller. The control method of the controller can be realized by simple programming by those skilled in the art, which belongs to the common knowledge in this field. And this application is mainly used to protect the mechanical structure, so the control method and circuit connection of this application will not be explained in detail.

[0110] Specifically, during the actual execution process, assume that on a certain day in winter, the heat exchange station starts to operate. First, tap water flows into the water softening device 13 through the tap water pipeline 12, and after softening treatment, it enters the water tank 15. The pressure stabilizing make-up water pump 3 pumps water from the water tank 15 to supplement water to the secondary side pipeline and maintain the system pressure stable.

[0111] At this time, the hot water in the primary side water supply pipeline enters the plate heat exchanger 1 after filtering impurities through the dirt filter 4, and exchanges heat with the water on the secondary side. The circulating water pump 2 is installed on the secondary side water supply pipeline to push the secondary side water to circulate continuously and deliver heat to the user end.

[0112] During the operation process, the parameter sensing system 5 starts to play a role. The temperature sensors 51 respectively monitor the temperatures of the key parts of the primary side water supply pipeline, primary side return water pipeline, secondary side water supply pipeline, secondary side return water pipeline, and the plate heat exchanger 1; the pressure sensors 52 monitor the pressures on the pipelines and equipment; the flow sensors 53 measure the medium flow rate in the pipelines. For example, the temperature sensor 51 detects that the primary side water supply temperature is 50 °C, the secondary side water supply temperature is 40 °C, and the secondary side return water temperature is 30 °C; the pressure sensor 52 measures that the secondary side pipeline pressure is 0.3 MPa; the flow sensor 53 measures that the secondary side water supply flow rate is 50 m3 / h. These data are transmitted to the intelligent regulation control system 6 and the computer 9 in real time.

[0113] After the PLC controller 61 in the intelligent regulation control system 6 receives the data, it compares them with the preset program. It is found that the secondary side water supply temperature is slightly lower than the preset value. Therefore, the PLC controller 61 sends an instruction to the circulation pump 2 through the electrical circuit to increase its speed and the circulation flow rate of the secondary side water. At the same time, the PLC controller 61 controls the opening of the valve 7 of the primary side water supply pipeline to increase, allowing more high-temperature primary side water to enter the plate heat exchanger 1 to enhance the heat exchange effect and increase the secondary side water supply temperature.

[0114] The data acquisition and visualization module processes the data collected by the parameter sensing system 5 and displays them in a three-dimensional visualization form on the display screen of the computer 9, which is convenient for the management personnel to remotely monitor. Suppose the management personnel access the computer 9 through the remote terminal 11 for remote monitoring and find that the secondary side water supply temperature still does not reach the ideal state. Then, an instruction is input on the remote terminal 11, such as further adjusting the opening of the pipeline valve 7. This instruction is transmitted to the remote control and optimization module through the computer 9, and then the remote control and optimization module calculates the adjustment strategy in combination with the digital twin model and sends it to the PLC controller 61. The PLC controller 61 controls the action of the pipeline valve 7 according to the instruction to accurately adjust the secondary side water supply temperature.

[0115] During the operation, the anomaly detection and early warning module makes an intelligent judgment on the working state of the equipment based on big data analysis and AI algorithms. If the pressure sensor 52 monitors that the pressure of the secondary side pipeline suddenly increases, the anomaly detection and early warning module immediately triggers an early warning through the computer 9 and locates that the problem may be a pipeline blockage or a failure of the pressure stabilizing and makeup water pump 3.

[0116] The predictive maintenance module is also working continuously. The equipment life prediction sub-module predicts that the remaining service life of the impeller of the circulation pump 2 is 3 months based on the working hours, operating frequency, load conditions, and temperature, pressure and other data of the circulation pump 2 in combination with the digital model. The fault mode identification and diagnosis sub-module finds that the heat exchange efficiency of the plate heat exchanger 1 decreases and the temperature and pressure show abnormal fluctuations, and judges that it may be plate fouling. Therefore, a maintenance plan for cleaning the plate heat exchanger 1 is formulated in advance. The maintenance plan intelligent sub-module automatically generates and optimizes the preventive maintenance plan based on these results in combination with the actual operation situation, arranges to replace the impeller of the circulation pump 2 after 2 months, and clean the plate heat exchanger 1 after 1 week, and stores the maintenance plan data in the computer 9. The management personnel can view the maintenance plan at any time through the remote terminal 11 and prepare the relevant spare parts and arrange the maintenance personnel in advance.

[0117] In summary, the embodiment of the present application is an intelligent monitoring system for a heat exchange station using digital twin technology. The intelligent monitoring system for a heat exchange station uses data acquisition and visualization, anomaly detection and early warning modules to accurately monitor equipment in real time, prevent downtime, and ensure stable heating. The remote control and optimization module is combined with the digital twin model to remotely optimize equipment parameters, improve heating efficiency, and reduce energy consumption. The predictive maintenance module accurately predicts equipment life and failures, optimizes maintenance plans, and saves maintenance costs. The computer is connected to the remote terminal to facilitate remote control by management personnel and improve management efficiency.

[0118] In the description of this specification, the terms "first" and "second" are used for descriptive purposes only and cannot be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined as "first" and "second" may explicitly or implicitly include at least one of the features. In the description of this application, the meaning of "plurality" is at least two, such as two, three, etc., unless otherwise clearly and specifically defined.

[0119] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present application. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner. In addition, those skilled in the art may combine and combine the different embodiments or examples described in this specification and the features of the different embodiments or examples, without contradiction.

[0120] Although the embodiments of the present application have been shown and described above, it can be understood that the above embodiments are exemplary and cannot be understood as limitations on the present application. Ordinary technicians in this field can change, modify, replace and deform the above embodiments within the scope of the present application.

Claims

1. An intelligent monitoring system for a heat exchange station using digital twin technology, characterized in that: include: A heat exchange station equipment unit, the heat exchange station equipment unit comprising a plate heat exchanger (1), a circulating water pump (2), a pressure-stabilizing water pump (3), a dirt filter (4), a parameter sensing system (5), an intelligent regulating control system (6), a pipeline valve (7), an instrument (8), a computer (9) and an overall equipment foundation (10), wherein: The plate heat exchanger (1) is respectively connected to the primary water supply pipe, the primary water return pipe, the secondary water supply pipe and the secondary water return pipe to achieve heat exchange; The circulating water pump (2) is installed on the secondary water supply pipeline and is used to promote the circulation of secondary water; The pressure-stabilizing water supply pump (3) is connected to the secondary side pipeline to maintain the system pressure stable; The dirt filter (4) is installed on the pipeline, used for filtering impurities in water, and is located at the front end of the plate heat exchanger (1); The parameter sensing system (5) is distributed on various devices and pipelines and is used to collect device operating parameters and medium parameters in the pipeline; The intelligent regulating and controlling system (6) is respectively connected to the plate heat exchanger (1), the circulating water pump (2), the pressure-stabilizing water supply pump (3), the pipeline valve (7), the instrument (8) and the computer (9) to realize control of the entire heat exchange station; The pipeline valve (7) is installed on each pipeline to control the flow rate and flow direction of the medium; The instrument (8) is installed on the pipeline and equipment to monitor parameters such as pressure, temperature, flow rate, etc. The computer (9) serves as the core of the monitoring system, is connected to the intelligent adjustment and control system (6), receives and processes data, and realizes remote communication; The overall foundation (10) of the equipment is used to support and fix the above equipment; a data acquisition and visualization module, the data acquisition and visualization module being based on digital twin technology, connected to the parameter sensing system (5) and the computer (9), and being used to accurately acquire data such as real-time operating parameters and performance indicators of the production equipment, and presenting the data on a display screen of the computer (9) in a three-dimensional visualized form, so that management personnel can remotely and intuitively understand the equipment status; An abnormality detection and early warning module, which is based on big data analysis and AI algorithms, is connected to the data acquisition and visualization module and the computer (9), and makes intelligent judgments on the working state of the equipment. Once an abnormality or potential failure risk occurs, an early warning is immediately triggered through the computer (9), and the source of the problem is located; A remote control and optimization module, wherein the remote control and optimization module is combined with a digital twin model, connected to the intelligent adjustment and control system (6) and the computer (9), realizes a real-time remote control function, supports remote fine-tuning and optimization of equipment parameters through the computer (9), and improves the heating operation efficiency and heating quality of the equipment; A predictive maintenance module, the predictive maintenance module comprising: The equipment life prediction submodule establishes a digital model of physical processes such as equipment wear and aging, combines historical operation data, and interacts with data stored in the computer (9) to accurately predict the remaining service life of key components, providing a scientific basis for preventive maintenance; The fault mode recognition and diagnosis submodule uses machine learning technology to mine the operating characteristics of the equipment under different working conditions, connects with the data acquisition and visualization module, identifies and diagnoses possible fault modes, and formulates targeted maintenance plans in advance; The intelligent maintenance plan submodule is connected to the computer (9) according to the equipment health status assessment result, automatically generates and optimizes the preventive maintenance plan, reduces unplanned downtime, and improves the overall availability of the equipment.

2. According to claim 1, a heat exchange station intelligent monitoring system using digital twin technology is characterized in that: The parameter sensing system (5) comprises a temperature sensor (51), a pressure sensor (52) and a flow sensor (53), wherein: The temperature sensors (51) are respectively installed at key locations of the primary water supply pipe, the primary water return pipe, the secondary water supply pipe, the secondary water return pipe and the plate heat exchanger (1) to measure the temperature; The pressure sensor (52) is installed on the pipeline and the equipment to measure the pressure; The flow sensor (53) is installed on the pipeline and is used to measure the medium flow.

3. According to claim 1, the intelligent monitoring system for heat exchange station using digital twin technology is characterized in that: The intelligent regulation and control system (6) comprises a PLC controller (61), wherein: The PLC controller (61) is connected to the plate heat exchanger (1), the circulating water pump (2), the pressure-stabilizing water supply pump (3), the pipeline valve (7), the instrument (8) and the computer (9) through electrical lines, receives data from each device and instrument, and controls the operation of each device according to a preset program.

4. According to claim 1, the intelligent monitoring system for heat exchange station using digital twin technology is characterized in that: The computer (9) is connected to the remote terminal (11) via a network, and management personnel can access the computer (9) via the remote terminal (11) to achieve remote monitoring, control and maintenance plan viewing of the heat exchange station equipment.

5. According to claim 1, the intelligent monitoring system for heat exchange station using digital twin technology is characterized in that: The heat exchange station equipment unit also includes a tap water pipeline (12), a softening water device (13), an overflow pipe (14), a water tank (15), a sewage pipeline (16) and a water collection tank (17), wherein: The tap water pipeline (12) is connected to the softening water device (13) to provide a water source for the system; The water outlet of the softening water device (13) is connected to the water tank (15); The water tank (15) is connected to the pressure-stabilizing water supply pump (3) through a pipeline to supply water to the system; The overflow pipe (14) is connected to the system pipeline and is used to discharge excess water; The sewage pipe (16) is connected to the sewage outlet of each device and is used to discharge dirt and impurities, which are finally collected in the water collection tank (17).

6. According to claim 1, a heat exchange station intelligent monitoring system using digital twin technology is characterized in that: The digital twin model is synchronized with the physical device in real time, and the device operation status is updated through the data acquisition and visualization module, supporting the remote control and optimization module to dynamically adjust the device parameters.

7. According to claim 1, the intelligent monitoring system for heat exchange station using digital twin technology is characterized in that: The predictive maintenance module acquires equipment operation data in real time through the data acquisition and visualization module, predicts equipment life in combination with the digital model, and generates a maintenance plan.

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