Park equipment operation monitoring method and system, computer equipment and storage medium

Abstract

The invention relates to a park equipment operation monitoring method and system, computer equipment and a storage medium, and the method comprises the steps: carrying out the real-time collection of operation parameters of energy nodes in a park, carrying out the denoising and standardization processing of the operation parameters through signal processing, and obtaining standard parameter data; obtaining a park task list, monitoring the standard parameter data in real time based on a preset operation rule, and generating a state evaluation report of the power distribution system; key operation data in the ground source heat pump system are collected, evaluation is carried out through a trend analysis algorithm in combination with historical operation data, and an equipment operation prediction report is generated; acquiring real-time environment monitoring data and video monitoring data of a preset important area, performing environment state evaluation and safety state evaluation on the park, and generating an environment safety monitoring report; and constructing a virtual three-dimensional model of the park, and integrating the monitoring parameters to the virtual three-dimensional model. The method and the device have the effect of improving the monitoring efficiency of the equipment in the park.

Description

Technical Field

[0001] The present application relates to the technical field of park equipment monitoring, and in particular to a park equipment operation monitoring method, system, computer equipment and storage medium. Background Art

[0002] At present, with the development of industrial parks, power distribution systems, combined heating and cooling systems, and environmental safety monitoring within the parks have become important means to improve park operation efficiency and ensure equipment safety.

[0003] Most of the existing park equipment operation monitoring systems rely on traditional sensor networks for data collection, and analyze and control through centralized management systems. The operating status of the equipment is then judged manually or through simple rules. It is difficult to achieve long-term trend analysis and prediction of the equipment operating status, resulting in certain limitations in these traditional systems in terms of data processing capabilities, real-time monitoring effects, and information integration.

[0004] The above-mentioned existing technical solutions have the following defects: the existing park equipment operation monitoring system has poor integration and convenience, resulting in low monitoring efficiency of equipment in the park, so there is room for improvement. Summary of the invention

[0005] In order to improve the efficiency of monitoring equipment in a park, the present application provides a park equipment operation monitoring method, system, computer equipment and storage medium.

[0006] The above-mentioned invention objective of the present application is achieved through the following technical solutions: A method for monitoring the operation of a park device, the method comprising: Real-time data collection of operating parameters of each energy node in the power distribution system within the park is performed, and the operating parameters are denoised and standardized through signal processing to obtain standard parameter data; Obtaining a park task list, performing real-time monitoring and statistics on the standard parameter data according to the park task list and based on preset operation rules, and generating a status assessment report of the power distribution system; Collect key operating data in the ground source heat pump system in real time, and evaluate the performance of the combined cooling and heating system through trend analysis algorithms in combination with historical operating data, and generate equipment operation forecast reports; Acquire real-time environmental monitoring data and video surveillance data corresponding to preset important areas, and perform environmental status assessment and safety status assessment on the park according to the real-time environmental monitoring data and video surveillance data, and generate an environmental safety monitoring report; A virtual three-dimensional model of the park is constructed, and corresponding monitoring parameters are integrated into the virtual three-dimensional model according to the status assessment report, the equipment operation prediction report and the environmental safety detection report.

[0007] By adopting the above technical solution, by collecting real-time data on the operating parameters of each energy node in the power distribution system in the park, and denoising and standardizing the operating parameters through signal processing, it is possible to ensure that the collected operating parameter data is more accurate and clear, thereby improving the data accuracy in the subsequent analysis process; by obtaining the park task list and performing real-time monitoring and statistics on standard parameter data based on preset operating rules, it is possible to timely grasp the operating status of each energy node in the park, ensure the stability of the power distribution system, and through the generated distribution system status assessment report, it can help park managers to promptly discover and solve potential problems, thereby improving the operating efficiency of the park's power distribution system. ; By collecting key operating data of the ground source heat pump system in real time and combining it with historical data for trend analysis, the performance of the combined heating and cooling system can be accurately evaluated, thereby effectively predicting the operating status of the equipment and reducing the probability of failure; by evaluating the park environment and safety status based on real-time environmental monitoring data and video surveillance data and generating an environmental safety monitoring report, it can ensure that the environment and safety status within the park are within a controllable range, thereby improving the overall safety of the park; by constructing a virtual three-dimensional model of the park and integrating all monitoring parameters into the model, dynamic visual monitoring of the park's operating status can be achieved, thereby further improving the level of intelligence in park equipment management.

[0008] In a preferred example, the present application can be further configured as follows: the real-time monitoring and statistics of the standard parameter data according to the park task list and based on the preset operation rules specifically include: According to the park task list, the energy demand of different energy nodes is counted, and according to the preset operation rules, the energy consumption corresponding to the energy demand is calculated; Performing real-time comparison and monitoring based on the energy consumption status and the standard parameter data, and generating a corresponding energy consumption gradient threshold value based on the energy consumption status; When the standard parameter data exceeds the corresponding energy consumption gradient threshold, a corresponding alarm message is triggered.

[0009] By adopting the above technical solution, by real-time monitoring and statistics of standard parameter data according to the park task list and based on preset operating rules, the energy demand information of different energy nodes in the park can be effectively integrated, thereby improving the rationality of energy distribution; by calculating the energy demand situation, the energy consumption of each energy node can be accurately predicted, and the energy consumption gradient threshold can be generated according to the energy consumption situation, and the energy consumption control can be dynamically adjusted to improve energy utilization efficiency; when the standard parameter data exceeds the corresponding energy consumption gradient threshold, an alarm message is triggered, which can timely warn of abnormal energy consumption and avoid energy waste or equipment overload, thereby improving the operation safety of park equipment.

[0010] In a preferred example, the present application can be further configured as follows: the key operating data of the ground source heat pump system is collected in real time, and the performance of the combined cooling and heating system is evaluated by a trend analysis algorithm in combination with historical operating data, specifically including: real-time monitoring of the cooling and heating operating states of the geothermal heat pump system, and performing a long-term operating trend analysis of the cooling and heating operating states of the geothermal heat pump system based on a regression model; By comparing the analysis results with the historical operating data, possible equipment failure time and operating efficiency changes are predicted.

[0011] By adopting the above technical solution, through real-time collection of key operating data in the ground source heat pump system and trend analysis combined with historical operating data, it is possible to accurately evaluate the performance changes of the combined heat and cooling system, thereby improving the stability of equipment operation; by conducting long-term trend analysis of the cooling and heating status of the ground source heat pump system based on a regression model, it is possible to predict the possible operating failure time and changes in operating efficiency of the equipment, so as to carry out preventive maintenance in advance and improve the service life and operating efficiency of the equipment.

[0012] In a preferred example, the present application may be further configured as follows: the environmental status assessment and safety status assessment of the park are performed respectively according to the real-time environmental monitoring data and the video surveillance data, specifically including: Perform multi-dimensional analysis on the real-time environmental monitoring data, and obtain historical environmental data corresponding to the real-time environmental monitoring data, and determine whether the current equipment operation is normal by comparing the equipment operation conditions corresponding to the real-time environmental monitoring data and the historical environmental data; The video monitoring data is analyzed in real time using a video analysis algorithm to determine whether the activity tracks of personnel and the equipment operation behaviors in the video monitoring data are abnormal activities.

[0013] By adopting the above technical solutions, by evaluating the environmental status and safety status of the park based on real-time environmental monitoring data and video surveillance data respectively, it is possible to fully grasp the environmental and safety conditions of the park, thereby improving the efficiency of park management; by conducting multi-dimensional analysis of real-time environmental monitoring data and obtaining historical environmental data for comparison, it is possible to effectively identify abnormal conditions in the current equipment operation, thereby reducing the occurrence rate of equipment failures; by performing real-time analysis of video surveillance data through video analysis algorithms, it is possible to accurately identify abnormal conditions in personnel activity trajectories and equipment operation behaviors, thereby improving the safety protection level of the park.

[0014] In a preferred example, the present application may be further configured as follows: the real-time analysis of the video surveillance data using a video analysis algorithm specifically includes: Detecting dynamic changes in the video surveillance data based on a deep learning-based image recognition model; Comparing the activity trajectory of the personnel with a preset safety area range, and determining that the activity trajectory of the personnel is an abnormal activity when the activity trajectory of the personnel enters the safety area range; The device operation behavior is compared with a preset normal device operation, and when the device operation behavior does not conform to the normal device operation, the device operation behavior is determined to be an abnormal activity.

[0015] By adopting the above technical solution, by using video analysis algorithms to perform real-time analysis on video surveillance data, dynamic changes can be effectively identified, thereby improving the monitoring accuracy of personnel and equipment activities in the park; by comparing the trajectory of personnel activities with the preset safety area range, abnormal behavior entering the safety area can be discovered in time, thereby improving the response speed of security incidents; by comparing equipment operation behavior with preset normal operation, abnormal behavior in equipment operation can be effectively identified, thereby reducing the occurrence of equipment misoperation and improving the safety and stability of equipment operation in the park.

[0016] In a preferred example, the present application can be further configured as follows: constructing a virtual three-dimensional model of the park, and integrating corresponding monitoring parameters into the virtual three-dimensional model according to the status assessment report, the equipment operation prediction report and the environmental safety detection report, specifically including: Acquire geographic information and equipment distribution data of the park, and generate the virtual three-dimensional model according to the geographic information and the equipment distribution data; The monitoring parameters are marked at corresponding positions of the virtual three-dimensional model to achieve visual dynamic monitoring of the park operation status.

[0017] By adopting the above technical solution, a virtual three-dimensional model of the park is constructed, and monitoring parameters are integrated into the virtual three-dimensional model according to the status assessment report, equipment operation prediction report and environmental safety detection report. It can fully reflect the operating status of each system in the park, thereby improving the comprehensiveness of monitoring; by obtaining the park's geographic information and equipment distribution data, a virtual three-dimensional model is generated, which can intuitively display the layout and operating status of the park's equipment; by marking the monitoring parameters in the virtual three-dimensional model, visual dynamic monitoring of the park's equipment can be achieved, thereby further improving the intelligence and accuracy of park equipment management.

[0018] The second object of the invention is achieved by the following technical solutions: A park equipment operation monitoring system, characterized in that the park equipment operation monitoring system comprises: The data processing module is used to collect real-time data on the operating parameters of each energy node in the power distribution system in the park, and to perform denoising and standardization on the operating parameters through signal processing to obtain standard parameter data; A monitoring and statistics module, used to obtain a park task list, perform real-time monitoring and statistics on the standard parameter data according to the park task list and based on preset operation rules, and generate a status assessment report of the power distribution system; The performance evaluation module is used to collect key operating data in the ground source heat pump system in real time, and evaluate the performance of the combined cooling and heating system through trend analysis algorithms in combination with historical operating data, and generate equipment operation forecast reports; A safety assessment module is used to obtain real-time environmental monitoring data and video surveillance data corresponding to preset important areas, and to perform environmental status assessment and safety status assessment on the park according to the real-time environmental monitoring data and video surveillance data, and generate an environmental safety monitoring report; The three-dimensional model construction module is used to construct a virtual three-dimensional model of the park, and integrate corresponding monitoring parameters into the virtual three-dimensional model according to the status assessment report, the equipment operation prediction report and the environmental safety detection report.

[0019] By adopting the above technical solution, by collecting real-time data on the operating parameters of each energy node in the power distribution system in the park, and denoising and standardizing the operating parameters through signal processing, it is possible to ensure that the collected operating parameter data is more accurate and clear, thereby improving the data accuracy in the subsequent analysis process; by obtaining the park task list and performing real-time monitoring and statistics on standard parameter data based on preset operating rules, it is possible to timely grasp the operating status of each energy node in the park, ensure the stability of the power distribution system, and through the generated distribution system status assessment report, it can help park managers to promptly discover and solve potential problems, thereby improving the operating efficiency of the park's power distribution system. ; By collecting key operating data of the ground source heat pump system in real time and combining it with historical data for trend analysis, the performance of the combined heating and cooling system can be accurately evaluated, thereby effectively predicting the operating status of the equipment and reducing the probability of failure; by evaluating the park environment and safety status based on real-time environmental monitoring data and video surveillance data and generating an environmental safety monitoring report, it can ensure that the environment and safety status within the park are within a controllable range, thereby improving the overall safety of the park; by constructing a virtual three-dimensional model of the park and integrating all monitoring parameters into the model, dynamic visual monitoring of the park's operating status can be achieved, thereby further improving the level of intelligence in park equipment management.

[0020] The third objective of the present application is achieved through the following technical solutions: A computer device includes a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the steps of the above-mentioned park equipment operation monitoring method are implemented.

[0021] The fourth objective of the present application is achieved through the following technical solutions: A computer-readable storage medium stores a computer program, which, when executed by a processor, implements the steps of the above-mentioned park equipment operation monitoring method.

[0022] In summary, this application includes the following beneficial technical effects: 1. By collecting real-time data on the operating parameters of each energy node in the power distribution system in the park, and denoising and standardizing the operating parameters through signal processing, it is possible to ensure that the collected operating parameter data is more accurate and clear, thereby improving the data accuracy in the subsequent analysis process; by obtaining the park task list and performing real-time monitoring and statistics on standard parameter data based on preset operating rules, it is possible to timely grasp the operating status of each energy node in the park, ensure the stability of the power distribution system, and generate a distribution system status assessment report to help park managers discover and solve potential problems in a timely manner, thereby improving the operating efficiency of the park's power distribution system; Real-time collection of key operating data of the ground-source heat pump system and trend analysis combined with historical data can accurately evaluate the performance of the combined cooling and heating system, thereby effectively predicting the operating status of the equipment and reducing the probability of failures. By evaluating the park environment and safety status based on real-time environmental monitoring data and video surveillance data and generating environmental safety monitoring reports, it can ensure that the environment and safety status in the park are within a controllable range, thereby improving the overall safety of the park. By building a virtual three-dimensional model of the park and integrating all monitoring parameters into the model, dynamic visual monitoring of the park's operating status can be achieved, thereby further improving the level of intelligent park equipment management. 2. By real-time monitoring and statistics of standard parameter data according to the park task list and based on preset operating rules, the energy demand information of different energy nodes in the park can be effectively integrated, thereby improving the rationality of energy distribution; by calculating the energy demand situation, the energy consumption of each energy node can be accurately predicted, and the energy consumption gradient threshold can be generated according to the energy consumption situation, and the energy consumption control can be dynamically adjusted to improve energy utilization efficiency; when the standard parameter data exceeds the corresponding energy consumption gradient threshold, an alarm message is triggered, which can timely warn of abnormal energy consumption, avoid energy waste or equipment overload, and thus improve the operation safety of park equipment; 3. By evaluating the environmental status and safety status of the park based on real-time environmental monitoring data and video surveillance data, the environmental and safety conditions of the park can be fully understood, thereby improving the efficiency of park management; by conducting multi-dimensional analysis of real-time environmental monitoring data and obtaining historical environmental data for comparison, abnormal conditions in the current equipment operation can be effectively identified, thereby reducing the incidence of equipment failures; by performing real-time analysis of video surveillance data through video analysis algorithms, abnormal conditions in personnel activity trajectories and equipment operating behaviors can be accurately identified, thereby improving the safety protection level of the park. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] Figure 1 is a flow chart of a method for monitoring the operation of park equipment in one embodiment of the present application; Figure 2It is a flowchart for implementing step S20 in the park equipment operation monitoring method in one embodiment of the present application; Figure 3 It is a flowchart for implementing step S30 in the park equipment operation monitoring method in one embodiment of the present application; Figure 4 It is a flowchart for implementing step S40 in the park equipment operation monitoring method in one embodiment of the present application; Figure 5 It is a flowchart for implementing step S42 in the park equipment operation monitoring method in one embodiment of the present application; Figure 6 It is a flowchart for implementing step S50 in the park equipment operation monitoring method in one embodiment of the present application; Figure 7 This is a principle block diagram of a park equipment operation monitoring system in one embodiment of the present application; Figure 8 It is a schematic diagram of a device in an embodiment of the present application. DETAILED DESCRIPTION

[0024] The present application is further described in detail below in conjunction with the accompanying drawings.

[0025] In one embodiment, if Figure 1 As shown, the present application discloses a method for monitoring the operation of a park equipment, which specifically includes the following steps: S10: Real-time data collection of operating parameters of each energy node in the power distribution system within the park is performed, and the operating parameters are denoised and standardized through signal processing to obtain standard parameter data.

[0026] Specifically, sensors installed on various energy nodes in the distribution system collect operating parameters such as voltage, current, and power in real time, and use signal processing technologies such as low-pass filtering and Kalman filtering to filter the collected parameter data for noise, eliminate high-frequency noise and external interference in the power grid, and then adjust the parameters of different nodes through a normalization algorithm to make the data of the same magnitude, ensuring the consistency and comparability of parameter data during subsequent processing and comparison.

[0027] S20: Obtain a park task list, perform real-time monitoring and statistics on standard parameter data according to the park task list and based on preset operating rules, and generate a status assessment report for the power distribution system.

[0028] Specifically, the current task list is extracted from the park task management module, and the working status of different energy nodes is monitored in real time according to the task requirements in the task list. According to the preset operating rules, the energy demand in the task is automatically matched with the standard parameter data, and the load status of each energy node is statistically analyzed. The real-time monitoring results will show the current energy consumption, operating efficiency and potential overload risks of each energy node, and generate a status assessment report of the distribution system based on these data, which includes the operating health status of the energy nodes and their matching degree with the task objectives.

[0029] S30: Collect key operating data in the ground source heat pump system in real time, and combine it with historical operating data to evaluate the performance of the combined heating and cooling system through trend analysis algorithms, and generate equipment operation forecast reports.

[0030] Specifically, dedicated sensors are used to collect parameters such as the inlet and outlet water temperature, flow rate, cooling and heating power during the operation of the ground source heat pump in real time, and these real-time data are combined with past historical operation data. A trend analysis algorithm is used to evaluate the overall performance of the combined heat and cooling system, including analyzing the operating efficiency of the equipment and identifying possible performance degradation trends. Subsequently, an operation forecast report for the equipment is generated based on the evaluation results to help users understand the future equipment operation status in advance.

[0031] S40: Acquire real-time environmental monitoring data and video surveillance data corresponding to preset important areas, and perform environmental status assessment and safety status assessment on the park according to the real-time environmental monitoring data and video surveillance data, and generate an environmental safety monitoring report.

[0032] Specifically, environmental sensors and video surveillance equipment are installed in key areas of the park. Real-time environmental monitoring data, including temperature, humidity, air pressure, etc., are collected through sensors. Video surveillance data of the area is captured by cameras, and then the environmental data and video surveillance data are processed independently. First, the environmental data is analyzed to determine whether the current environment is suitable for normal operation of the equipment. For example, whether excessively high temperature or excessively low humidity will affect the equipment. At the same time, the video surveillance data is processed through intelligent analysis technology to determine whether there are any safety hazards, such as the safety of personnel and equipment. The data from these two aspects are combined to generate an environmental safety monitoring report, including the analysis results of the current environmental status and a safety risk assessment.

[0033] S50: Construct a virtual three-dimensional model of the park, and integrate corresponding monitoring parameters into the virtual three-dimensional model according to the status assessment report, the equipment operation prediction report and the environmental safety detection report.

[0034] Specifically, a virtual three-dimensional model is constructed based on the park's geographic information and equipment distribution data to reflect the actual layout and environmental status of the equipment in the park. Based on the status assessment report, equipment operation prediction report and environmental safety detection report, various monitoring parameters are matched and labeled with the corresponding equipment or areas in the three-dimensional model. The real-time status, energy consumption and possible safety risks of each device are dynamically displayed in the three-dimensional model. Users can intuitively view the operating status of each area and equipment through the interface, and receive timely alarms and visual feedback when abnormalities occur, helping managers to efficiently manage the operating status of actual equipment in the virtual space.

[0035] In one embodiment, if Figure 2 As shown, in step S20, the standard parameter data is monitored and counted in real time according to the park task list and based on the preset operation rules, specifically including: S21: Count the energy demands of different energy nodes according to the park task list, and calculate the energy consumption status corresponding to the energy demands according to the preset operation rules.

[0036] Specifically, the detailed information of each task is extracted from the park task management module, and according to the nature of the task, such as production tasks, maintenance tasks, etc., and the priority, the energy demand of each energy node is counted in real time based on the resource occupancy of the tasks currently executed by each node and the operating status of the equipment. Then, according to preset rules such as load distribution principles, equipment efficiency, energy use priority, etc., the energy consumption status of each node is calculated based on multiple dimensions such as the historical energy consumption data of the equipment, equipment type, and operating time.

[0037] S22: Perform real-time comparison monitoring based on the energy consumption status and standard parameter data, and generate a corresponding energy consumption gradient threshold value based on the energy consumption status.

[0038] Specifically, by comparing the real-time collected energy consumption data with the standard parameter data, it is determined whether the energy consumption of the current device or energy node is within the normal range. The standard parameter data is used as a benchmark value to evaluate the rationality of energy consumption. According to the ratio of energy consumption to standard parameters, an energy consumption gradient threshold is automatically generated. The threshold represents the energy consumption range of the device under different load conditions. When the energy consumption exceeds this gradient threshold, it is considered that the device may be in an abnormal situation or at risk of overload operation.

[0039] S23: When the standard parameter data exceeds the corresponding energy consumption gradient threshold, a corresponding alarm message is triggered.

[0040] Specifically, when it is detected that the standard parameter data exceeds the set energy consumption gradient threshold, the alarm mechanism is immediately triggered. The alarm message can be sent to relevant operation and maintenance personnel through various channels such as system notifications, text messages or emails, prompting them that the energy consumption of a certain energy node or equipment has exceeded the safety threshold. At the same time, abnormal nodes are highlighted in the power distribution monitoring interface or three-dimensional model, and detailed alarm information is provided to ensure that in the case of abnormal energy consumption, relevant personnel can intervene in time to avoid equipment damage or energy waste.

[0041] In one embodiment, if Figure 3 As shown, in step S30, the key operating data of the ground source heat pump system is collected in real time, and the performance of the combined cooling and heating system is evaluated by a trend analysis algorithm in combination with historical operating data, specifically including: S31: Monitor the cooling and heating operating status of the ground source heat pump system in real time, and perform long-term operating trend analysis on the cooling and heating operating status of the ground source heat pump system based on a regression model.

[0042] Specifically, sensors are used to monitor the operating status of the ground source heat pump system in real time, including key parameters such as inlet and outlet water temperature, pressure, flow rate under cooling and heating working modes, and the corresponding parameter data are input into the system's regression analysis model. Trend prediction is performed based on these data to determine whether the system will experience performance degradation or efficiency reduction during long-term operation.

[0043] S32: By comparing the analysis results with historical operation data, predict possible equipment failure time and changes in operating efficiency.

[0044] Specifically, the analysis results of the regression model are compared with the historical operating data, focusing on monitoring the performance changes of the equipment during long-term operation. The trend of declining operating efficiency is identified through comparison, and the time window when equipment failure may occur is predicted in advance. At the same time, by analyzing the fluctuations of data such as temperature and pressure under the current and historical operating conditions, it is identified whether there are abnormal changes in operation, and a detailed report on changes in operating efficiency is generated.

[0045] In one embodiment, if Figure 4 As shown, in step S40, the environmental status of the park is evaluated and the security status is evaluated according to the real-time environmental monitoring data and the video surveillance data, which specifically includes: S41: Perform multi-dimensional analysis on the real-time environmental monitoring data, and obtain the same historical environmental data as the real-time environmental monitoring data, and determine whether the current equipment operation is normal by comparing the equipment operation conditions corresponding to the real-time environmental monitoring data and the historical environmental data.

[0046] Specifically, sensors are used to obtain real-time environmental data of important areas in the park, including parameters such as temperature, humidity, air pressure and wind speed. Preliminary statistical analysis is performed on these real-time data to determine the fluctuations of the current environmental parameters. The same type of environmental data in the historical database is called for multi-dimensional comparative analysis, focusing on the relationship between the current environmental conditions and the operation of the equipment. By analyzing historical data, it is determined whether the current environmental conditions will affect the normal operation of the equipment, for example, whether excessive temperature will cause equipment overheating.

[0047] S42: Analyze the video surveillance data in real time using a video analysis algorithm to determine whether the activity tracks of people and the equipment operation behaviors in the video surveillance data are abnormal activities.

[0048] Specifically, the surveillance video data is processed in real time through the video analysis algorithm to analyze the human activities and equipment operation behaviors in the monitoring area. First, the activity trajectories of people and equipment are captured through the motion detection algorithm, and their movement routes and operation processes are recorded. These activity trajectories are compared with the preset safety rules. When it is detected that the operation behavior of people or equipment exceeds the normal range, it will be judged as abnormal activity, and the specific time and location of the abnormal behavior will be recorded.

[0049] In one embodiment, if Figure 5 As shown, in step S42, the video monitoring data is analyzed in real time using a video analysis algorithm, specifically including: S421: Detect dynamic changes in video surveillance data based on a deep learning-based image recognition model.

[0050] Specifically, a pre-trained deep learning model is used to process image frames transmitted from video surveillance cameras, automatically identify dynamic objects in the video, detect the movement speed, direction and behavior patterns of the objects, obtain the movement of people or equipment, and identify potential abnormal activities.

[0051] S422: Compare the activity trajectory of the person with the preset safety area range, and if the activity trajectory of the person enters the safety area range, determine that the activity trajectory of the person is an abnormal activity.

[0052] Specifically, by monitoring the activity trajectories of personnel and comparing them with the preset safety areas in real time, if a person's activity trajectory exceeds the permitted range, especially entering a limited safety area such as around high-risk equipment or a restricted area, the system will immediately trigger an alarm and record the person's trajectory and specific time to ensure that any potential safety risks can be discovered and handled in a timely manner.

[0053] S423: Compare the device operation behavior with the preset normal device operation, and if the device operation behavior does not conform to the normal device operation, determine that the device operation behavior is an abnormal activity.

[0054] Specifically, through real-time monitoring of equipment operation, the actual operation process is compared with the standard operation process. The standard operation steps and parameters of each device are pre-set in the system. The system analyzes the deviation of operation behavior through sensors and video monitoring data. If the system detects that the operation behavior of the equipment is inconsistent with the standard operation, such as the omission of operation steps or abnormal equipment operation time, the system will immediately determine that the operation is abnormal and trigger an alarm. At the same time, the abnormal operation log of the equipment will be saved for future analysis to prevent equipment misoperation or potential safety hazards.

[0055] In one embodiment, if Figure 6 As shown, in step S50, a virtual three-dimensional model of the park is constructed, and corresponding monitoring parameters are integrated into the virtual three-dimensional model according to the status assessment report, the equipment operation prediction report and the environmental safety detection report, specifically including: S51: Obtaining geographic information and equipment distribution data of the park, and generating a virtual three-dimensional model according to the geographic information and equipment distribution data.

[0056] Specifically, the layout data of the park is extracted from the park's geographic information system, combined with the equipment distribution map, and imported into the 3D modeling tool. Through accurate modeling of the terrain, buildings and key equipment, it is ensured that the model is completely consistent with the actual geographical environment of the park. The specific location, operating status and related sensor data of each device will correspond to the equipment object in the virtual model, allowing managers to intuitively view the layout and status of the equipment through the 3D interface.

[0057] S52: Mark the monitoring parameters at corresponding positions of the virtual three-dimensional model to achieve visual dynamic monitoring of the park operation status.

[0058] Specifically, based on the real-time status of each device, the monitoring parameters obtained from sensors, video surveillance and status reports are dynamically integrated into the three-dimensional model. The position of each device in the virtual model will display its real-time operating parameters, such as energy consumption, temperature, load, etc. When the status of a device changes, such as overload or failure, the corresponding device in the model will be highlighted, and there will be color or other visual marks to indicate its abnormal status. Managers can directly monitor the overall operation of the park through the three-dimensional model, and view detailed operation data and history records by clicking on the device object when necessary.

[0059] It should be understood that the size of the serial numbers of the steps in the above embodiments does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0060] In one embodiment, a park equipment operation monitoring system is provided, and the park equipment operation monitoring system corresponds one-to-one to the park equipment operation monitoring method in the above embodiment. Figure 7 As shown, the park equipment operation monitoring system includes data processing module, monitoring statistics module, performance evaluation module, safety evaluation module, and three-dimensional model building module. The detailed description of each functional module is as follows: The data processing module is used to collect real-time data on the operating parameters of each energy node in the power distribution system in the park, and to denoise and standardize the operating parameters through signal processing to obtain standard parameter data; The monitoring and statistics module is used to obtain the park task list, monitor and count the standard parameter data in real time according to the park task list and based on the preset operation rules, and generate a status assessment report of the power distribution system; The performance evaluation module is used to collect key operating data in the ground source heat pump system in real time, and evaluate the performance of the combined cooling and heating system through trend analysis algorithms in combination with historical operating data, and generate equipment operation forecast reports; The safety assessment module is used to obtain real-time environmental monitoring data and video surveillance data corresponding to preset important areas, and conduct environmental status assessment and safety status assessment of the park based on the real-time environmental monitoring data and video surveillance data, and generate an environmental safety monitoring report; The three-dimensional model construction module is used to construct a virtual three-dimensional model of the park and integrate the corresponding monitoring parameters into the virtual three-dimensional model based on the status assessment report, equipment operation prediction report and environmental safety detection report.

[0061] Optionally, the monitoring statistics module specifically includes: The energy demand statistics submodule is used to count the energy demand of different energy nodes according to the park task list, and calculate the energy consumption status corresponding to the energy demand according to the preset operation rules; The energy comparison submodule is used to perform real-time comparison monitoring based on the energy consumption status and standard parameter data, and generate the corresponding energy consumption gradient threshold according to the energy consumption status; The alarm trigger submodule is used to trigger a corresponding alarm message when the standard parameter data exceeds the corresponding energy consumption gradient threshold.

[0062] Optionally, the performance evaluation module specifically includes: The status monitoring submodule is used to monitor the cooling and heating operation status of the ground source heat pump system in real time, and to perform long-term operation trend analysis on the cooling and heating operation status of the ground source heat pump system based on the regression model; The fault prediction submodule is used to predict possible equipment failure time and operating efficiency changes by comparing analysis results with historical operating data.

[0063] Optionally, the security assessment module specifically includes: The environmental analysis submodule is used to perform multi-dimensional analysis on the real-time environmental monitoring data and obtain the historical environmental data corresponding to the real-time environmental monitoring data. By comparing the equipment operation conditions corresponding to the real-time environmental monitoring data and the historical environmental data, it is determined whether the current equipment operation is normal; The video analysis submodule is used to use the video analysis algorithm to perform real-time analysis on the video surveillance data to determine whether the activity trajectories of personnel and equipment operation behaviors in the video surveillance data are abnormal activities.

[0064] Optionally, the video analysis submodule specifically includes: An image recognition unit, which is used to detect dynamic changes in video surveillance data based on a deep learning-based image recognition model; A trajectory comparison unit is used to compare the trajectory of personnel activities with the preset safety area range, and if the trajectory of personnel activities enters the safety area range, determine that the trajectory of personnel activities is abnormal activity; The operation behavior comparison unit is used to compare the device operation behavior with the preset normal device operation, and when the device operation behavior does not conform to the normal device operation, determine that the device operation behavior is an abnormal activity.

[0065] Optionally, the three-dimensional model building module specifically includes: A 3D model generation submodule is used to obtain the geographic information and equipment distribution data of the park, and generate a virtual 3D model based on the geographic information and equipment distribution data; The parameter marking submodule is used to mark the monitoring parameters at the corresponding positions of the virtual three-dimensional model to achieve visual dynamic monitoring of the park operation status.

[0066] For the specific definition of the park equipment operation monitoring system, please refer to the definition of the park equipment operation monitoring method above, which will not be repeated here. Each module in the above-mentioned park equipment operation monitoring system can be implemented in whole or in part through software, hardware and their combination. The above-mentioned modules can be embedded in or independent of the processor in the computer device in the form of hardware, or can be stored in the memory of the computer device in the form of software, so that the processor can call and execute the operations corresponding to the above modules.

[0067] In one embodiment, a computer device is provided. The computer device may be a server, and its internal structure diagram may be as follows: Figure 8 As shown. The computer device includes a processor, a memory, a network interface and a database connected through a system bus. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The network interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, a method for monitoring the operation of campus equipment is implemented.

[0068] In one embodiment, a computer device is provided, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the following steps when executing the computer program: Collect real-time data on the operating parameters of each energy node in the power distribution system within the park, remove noise and standardize the operating parameters through signal processing to obtain standard parameter data; Obtain the park task list, monitor and count the standard parameter data in real time according to the park task list and based on the preset operation rules, and generate a status assessment report of the power distribution system; Collect key operating data in the ground source heat pump system in real time, and evaluate the performance of the combined cooling and heating system through trend analysis algorithms in combination with historical operating data, and generate equipment operation forecast reports; Obtain real-time environmental monitoring data and video surveillance data corresponding to preset important areas, and conduct environmental status assessment and safety status assessment of the park based on the real-time environmental monitoring data and video surveillance data, and generate an environmental safety monitoring report; Build a virtual three-dimensional model of the park, and integrate the corresponding monitoring parameters into the virtual three-dimensional model based on the status assessment report, equipment operation prediction report and environmental safety detection report.

[0069] In one embodiment, a computer readable storage medium is provided, on which a computer program is stored, and when the computer program is executed by a processor, the following steps are implemented: Collect real-time data on the operating parameters of each energy node in the power distribution system within the park, remove noise and standardize the operating parameters through signal processing to obtain standard parameter data; Obtain the park task list, monitor and count the standard parameter data in real time according to the park task list and based on the preset operation rules, and generate a status assessment report of the power distribution system; Collect key operating data in the ground source heat pump system in real time, and evaluate the performance of the combined cooling and heating system through trend analysis algorithms in combination with historical operating data, and generate equipment operation forecast reports; Obtain real-time environmental monitoring data and video surveillance data corresponding to preset important areas, and conduct environmental status assessment and safety status assessment of the park based on the real-time environmental monitoring data and video surveillance data, and generate an environmental safety monitoring report; Build a virtual three-dimensional model of the park, and integrate the corresponding monitoring parameters into the virtual three-dimensional model based on the status assessment report, equipment operation prediction report and environmental safety detection report.

[0070] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided in this application may include non-volatile and / or volatile memory. Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. As an illustration and not limitation, RAM is available in many forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).

[0071] Those skilled in the art will clearly understand that for the sake of convenience and brevity of description, only the division of the above-mentioned functional units and modules is used as an example. In actual applications, the above-mentioned functions can be distributed and completed by different functional units and modules as needed, that is, the internal structure of the system can be divided into different functional units or modules to complete all or part of the functions described above.

[0072] The embodiments described above are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, a person skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. Such modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application, and should all be included in the protection scope of the present application.

Claims

1. A method for monitoring the operation of park equipment, characterized in that: The park equipment operation monitoring method comprises: Real-time data collection of operating parameters of each energy node in the power distribution system within the park is performed, and the operating parameters are denoised and standardized through signal processing to obtain standard parameter data; Obtaining a park task list, performing real-time monitoring and statistics on the standard parameter data according to the park task list and based on preset operation rules, and generating a status assessment report of the power distribution system; Collect key operating data in the ground source heat pump system in real time, and evaluate the performance of the combined cooling and heating system through trend analysis algorithms in combination with historical operating data, and generate equipment operation forecast reports; Acquire real-time environmental monitoring data and video surveillance data corresponding to preset important areas, and perform environmental status assessment and safety status assessment on the park according to the real-time environmental monitoring data and video surveillance data, and generate an environmental safety monitoring report; A virtual three-dimensional model of the park is constructed, and corresponding monitoring parameters are integrated into the virtual three-dimensional model according to the status assessment report, the equipment operation prediction report and the environmental safety detection report.

2. The park equipment operation monitoring method according to claim 1, characterized in that: The real-time monitoring and statistics of the standard parameter data according to the park task list and based on the preset operation rules specifically include: According to the park task list, the energy demand of different energy nodes is counted, and according to the preset operation rules, the energy consumption corresponding to the energy demand is calculated; Performing real-time comparison and monitoring based on the energy consumption status and the standard parameter data, and generating a corresponding energy consumption gradient threshold value based on the energy consumption status; When the standard parameter data exceeds the corresponding energy consumption gradient threshold, a corresponding alarm message is triggered.

3. The park equipment operation monitoring method according to claim 1, characterized in that: The key operating data in the ground source heat pump system is collected in real time, and combined with the historical operating data, the performance of the combined cooling and heating system is evaluated through a trend analysis algorithm, specifically including: real-time monitoring of the cooling and heating operating states of the geothermal heat pump system, and performing a long-term operating trend analysis of the cooling and heating operating states of the geothermal heat pump system based on a regression model; By comparing the analysis results with the historical operating data, possible equipment failure time and operating efficiency changes are predicted.

4. The park equipment operation monitoring method according to claim 1, characterized in that: The step of performing an environmental status assessment and a safety status assessment on the park according to the real-time environmental monitoring data and the video surveillance data specifically includes: Perform multi-dimensional analysis on the real-time environmental monitoring data, and obtain historical environmental data corresponding to the real-time environmental monitoring data, and determine whether the current equipment operation is normal by comparing the equipment operation conditions corresponding to the real-time environmental monitoring data and the historical environmental data; The video monitoring data is analyzed in real time using a video analysis algorithm to determine whether the activity tracks of personnel and the equipment operation behaviors in the video monitoring data are abnormal activities.

5. The park equipment operation monitoring method according to claim 4 is characterized in that: The real-time analysis of the video surveillance data using a video analysis algorithm specifically includes: Detecting dynamic changes in the video surveillance data based on a deep learning-based image recognition model; Comparing the activity trajectory of the personnel with a preset safety area range, and determining that the activity trajectory of the personnel is an abnormal activity when the activity trajectory of the personnel enters the safety area range; The device operation behavior is compared with a preset normal device operation, and when the device operation behavior does not conform to the normal device operation, the device operation behavior is determined to be an abnormal activity.

6. The method for monitoring the operation of park equipment according to claim 1, characterized in that: The step of constructing a virtual three-dimensional model of the park and integrating corresponding monitoring parameters into the virtual three-dimensional model according to the status assessment report, the equipment operation prediction report and the environmental safety detection report specifically includes: Acquire geographic information and equipment distribution data of the park, and generate the virtual three-dimensional model according to the geographic information and the equipment distribution data; The monitoring parameters are marked at corresponding positions of the virtual three-dimensional model to achieve visual dynamic monitoring of the park operation status.

7. A park equipment operation monitoring system, characterized in that: The park equipment operation monitoring system includes: The data processing module is used to collect real-time data on the operating parameters of each energy node in the power distribution system in the park, and to perform denoising and standardization on the operating parameters through signal processing to obtain standard parameter data; A monitoring and statistics module, used to obtain a park task list, perform real-time monitoring and statistics on the standard parameter data according to the park task list and based on preset operation rules, and generate a status assessment report of the power distribution system; The performance evaluation module is used to collect key operating data in the ground source heat pump system in real time, and evaluate the performance of the combined cooling and heating system through trend analysis algorithms in combination with historical operating data, and generate equipment operation forecast reports; A safety assessment module is used to obtain real-time environmental monitoring data and video surveillance data corresponding to preset important areas, and to perform environmental status assessment and safety status assessment on the park according to the real-time environmental monitoring data and video surveillance data, and generate an environmental safety monitoring report; The three-dimensional model construction module is used to construct a virtual three-dimensional model of the park, and integrate corresponding monitoring parameters into the virtual three-dimensional model according to the status assessment report, the equipment operation prediction report and the environmental safety detection report.

8. The park equipment operation monitoring system according to claim 7, characterized in that: The monitoring and statistics module specifically includes: An energy demand statistics submodule, used to count the energy demand conditions of different energy nodes according to the park task list, and calculate the energy consumption conditions corresponding to the energy demand conditions according to the preset operation rules; An energy comparison submodule, used for performing real-time comparison monitoring based on the energy consumption status and the standard parameter data, and generating a corresponding energy consumption gradient threshold value based on the energy consumption status; The alarm triggering submodule is used to trigger a corresponding alarm message when the standard parameter data exceeds the corresponding energy consumption gradient threshold.

9. A computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the steps of the campus equipment operation monitoring method as described in any one of claims 1 to 6 are implemented.

10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the steps of the campus equipment operation monitoring method as described in any one of claims 1 to 6 are implemented.

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