Intelligent management and control method and device for emergency power supply system and related equipment

Abstract

The invention provides an intelligent management and control method, device and system for an emergency power supply system, electronic equipment and a storage medium. The method comprises the steps that operation state parameters of multiple access equipment and a main power supply in the emergency power supply system are collected in real time; detecting the operation state of the main power supply based on the operation state parameter of the main power supply; if it is detected that the operation state of the main power supply is a power loss state, generating a first power management and control strategy so as to manage and control the plurality of accessed electric devices based on the first power management and control strategy; and if it is detected that the operation state of the main power supply is a power supply state, generating a second power management and control strategy so as to manage and control the emergency generator and the power distribution cabinet based on the second power management and control strategy. The emergency power supply system can be observable, measurable and controllable, the daily maintenance efficiency and quality of the emergency power supply system are improved, the time consumed by emergency starting of the system is effectively shortened, and therefore the reliability and timeliness of the emergency power supply system are improved.

Description

Technical Field

[0001] The present application relates to the field of power supply technology, and in particular to an intelligent management and control method, system, electronic device and storage medium for an emergency power supply system. Background Art

[0002] In modern society, the stability and reliability of the power system are crucial to maintaining daily life and industrial production. The continuity of power supply is not only related to the stable development of the economy, but also directly related to public safety and all aspects of people's lives. However, due to natural disasters, equipment failures, human operational errors or other unforeseen emergencies, the power system is often at risk of interruption. In these cases, the emergency power supply system is the last line of defense to ensure the power supply of key facilities and important users, and its importance is self-evident.

[0003] At present, most emergency power supply systems are composed of independent emergency generators and distribution cabinets, which can provide temporary power when the main power supply fails. Existing emergency power supply systems usually have basic automatic start-up functions, which can automatically start the generator when a power outage is detected to maintain the continuation of critical operations. However, the existing technology has shown some limitations in practical applications: most systems lack the ability to monitor the operating status of the equipment in real time and cannot obtain key parameters in a timely manner, which limits the comprehensive understanding of the equipment's operating status and fault warning; although some systems can automatically start the generator, they usually do not have the ability to automatically restore all power-off loads, especially when facing complex power grid structures, which may lead to insufficient power supply restoration for critical loads. It can be seen that the existing emergency power supply system has limited system monitoring capabilities and a low degree of automation.

[0004] The preceding description is intended to provide general background information and does not necessarily constitute prior art. Summary of the invention

[0005] In response to the above-mentioned technical problems, the present application provides an intelligent management and control method, system, electronic device and storage medium for an emergency power supply system to solve the problem that the prior art cannot perform automated monitoring and control in a centralized and unified manner, improve the daily maintenance efficiency and quality of the emergency power supply system, and effectively reduce the time required for emergency startup of the system, thereby improving the reliability and timeliness of the emergency power supply system.

[0006] In order to solve the above technical problems, the present application provides an intelligent management and control method for an emergency power supply system, comprising the following steps:

[0007] Real-time collection of operating status parameters of multiple access devices and main power supplies in the emergency power supply system, wherein the access devices include emergency generators, power distribution cabinets and multiple power-consuming devices;

[0008] Based on the operating state parameters of the main power supply, detecting the operating state of the main power supply;

[0009] If it is detected that the operating state of the main power supply is a power-off state, a first power control strategy is generated to control the multiple connected power-consuming devices based on the first power control strategy;

[0010] If it is detected that the operating state of the main power supply is the power supply state, a second power management and control strategy is generated to control the emergency generator and the power distribution cabinet based on the second power management and control strategy.

[0011] Furthermore, in some embodiments of the present application, the real-time acquisition of operating status parameters of multiple access devices and a main power supply in the emergency power supply system includes:

[0012] Respond to user management and control needs and determine monitoring objectives and parameters;

[0013] Based on the monitoring target and the monitoring parameters, determine the edge computing device and its installation location, and the sensor and its installation location;

[0014] The sensor collects operating status parameters of multiple access devices and the main power supply in the emergency power supply system in real time and sends them to the edge computing device communicating therewith.

[0015] Further, in some embodiments of the present application, detecting the operating state of the main power supply based on the operating state parameter of the main power supply includes:

[0016] Obtain detection algorithms corresponding to different types of operating status parameters corresponding to the main power supply;

[0017] The detection algorithm detects and analyzes the operating state of the main power supply according to different types of operating state parameters and their corresponding thresholds to determine the current operating state of the main power supply.

[0018] Further, in some embodiments of the present application, the controlling the plurality of connected power-consuming devices based on the first power control strategy includes:

[0019] Controlling the start-up of the emergency generator based on the first power management and control strategy;

[0020] After the emergency generator is started normally, based on the first power management and control strategy, the closing state of the low-voltage circuit breaker corresponding to each connected power-consuming device and the operating state parameters of the power-consuming device are respectively detected;

[0021] When it is detected that the closing state of any of the low-voltage circuit breakers is abnormal and / or the operating state parameter of any of the electrical equipment is abnormal, corresponding alarm information is generated.

[0022] Further, in some embodiments of the present application, the controlling the emergency generator and the power distribution cabinet based on the second power control strategy includes:

[0023] Collecting operating status parameters of the power distribution cabinet based on the second power management and control strategy;

[0024] Based on the operating status parameters of the power distribution cabinet, determining whether the operating status of the power distribution cabinet is normal;

[0025] The operating status parameters of the power distribution cabinet are analyzed, the operating trend of the power distribution cabinet is predicted, and corresponding alarm information is generated based on the operating trend.

[0026] Further, in some embodiments of the present application, the controlling the emergency generator and the power distribution cabinet based on the second power control strategy further includes:

[0027] collecting operating status parameters of the emergency generator based on the second power management and control strategy;

[0028] Based on the operating status parameters of the emergency generator, determining whether the emergency generator is currently in an available state;

[0029] The operating status parameters of the emergency generator are analyzed, the operating trend of the generator is predicted, and corresponding alarm information is generated based on the operating trend.

[0030] Accordingly, the present application also provides an intelligent control device for an emergency power supply system, comprising:

[0031] A collection module, used to collect in real time the operating status parameters of multiple access devices and the main power supply in the emergency power supply system, wherein the access devices include emergency generators, power distribution cabinets and multiple power-consuming devices;

[0032] A detection module, used to detect the operating state of the main power supply based on the operating state parameters of the main power supply;

[0033] a first control module, configured to generate a first power control strategy if it is detected that the operating state of the main power supply is a power-off state, so as to control the plurality of connected power-consuming devices based on the first power control strategy;

[0034] The second control module is used to generate a second power control strategy if it is detected that the operating state of the main power supply is the power supply state, so as to control the emergency generator and the distribution cabinet based on the second power control strategy.

[0035] The present application also provides an emergency power supply system, including the intelligent management and control device for the emergency power supply system as described above, as well as a main power supply, an emergency generator, a distribution cabinet and multiple electrical equipment.

[0036] The present application also provides an electronic device, comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the program, the steps of the intelligent management and control method for an emergency power supply system as described above are performed.

[0037] The present application also provides a storage medium storing a computer program that can be loaded by a processor and execute the intelligent management and control method for an emergency power supply system as described above.

[0038] Implementing the embodiments of the present application has the following beneficial effects:

[0039] As described above, the present application provides an intelligent management and control method, device, system, electronic device and storage medium for an emergency power supply system, the intelligent management and control method including: real-time collection of operating status parameters of multiple access devices and a main power supply in the emergency power supply system, the access devices including an emergency generator, a distribution cabinet and multiple electrical equipment; based on the operating status parameters of the main power supply, detecting the operating status of the main power supply; if it is detected that the operating status of the main power supply is a power-off state, generating a first power management and control strategy to control multiple accessed electrical equipment based on the first power management and control strategy; if it is detected that the operating status of the main power supply is a power-on state, generating a second power management and control strategy to control the emergency generator and the distribution cabinet based on the second power management and control strategy. The present application provides an intelligent management and control solution for an emergency power supply system. Through real-time monitoring and automatic control, it can quickly respond to power outages in the main power supply and reduce the time to restore power supply. Through continuous monitoring and predictive maintenance, it can promptly discover and address safety hazards, reduce power outages due to equipment failures, and reduce the need and cost of emergency repairs, thereby ensuring the safe operation of the power supply system. In addition, the intelligent management and control strategy provided by the present application can optimize the allocation of power resources and improve energy efficiency based on actual needs and equipment status. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] The drawings herein are incorporated into the specification and constitute a part of the specification, illustrate embodiments consistent with the present application, and together with the specification are used to explain the principles of the present application. In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for use in the description of the embodiments are briefly introduced below. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without creative labor.

[0041] Figure 1 It is a flow chart of an intelligent control method for an emergency power supply system provided in an embodiment of the present application;

[0042] Figure 2 It is a structural schematic diagram of an intelligent control device for an emergency power supply system provided in an embodiment of the present application;

[0043] Figure 3 It is a schematic diagram of the structure of an electronic device provided in an embodiment of the present application.

[0044] The realization of the purpose, functional features and advantages of this application will be further described in conjunction with the embodiments and with reference to the accompanying drawings. The above-mentioned drawings have shown clear embodiments of this application, which will be described in more detail later. These drawings and textual descriptions are not intended to limit the scope of the concept of this application in any way, but to illustrate the concept of this application to those skilled in the art by referring to specific embodiments. DETAILED DESCRIPTION

[0045] Exemplary embodiments will be described in detail herein, examples of which are shown in the accompanying drawings. When the following description refers to the drawings, the same numbers in different drawings represent the same or similar elements unless otherwise indicated. The implementations described in the following exemplary embodiments do not represent all implementations consistent with the present application. Instead, they are merely examples of devices and methods consistent with some aspects of the present application as detailed in the appended claims.

[0046] It should be noted that, in this article, the terms "include", "comprises" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also includes other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, an element defined by the sentence "includes a ..." does not exclude the existence of other identical elements in the process, method, article or device including the element. In addition, components, features, and elements with the same name in different embodiments of the present application may have the same meaning or different meanings, and their specific meanings need to be determined by their explanation in the specific embodiment or further combined with the context of the specific embodiment.

[0047] It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0048] In the subsequent description, the suffixes such as "module", "component" or "unit" used to represent elements are only used to facilitate the description of the present application, and have no specific meanings. Therefore, "module", "component" or "unit" can be used in a mixed manner.

[0049] The existing emergency power supply system consists of independent emergency generators and distribution cabinets and other equipment, which cannot be monitored and controlled in a centralized and unified manner. When an emergency occurs and emergency power supply is required, the generator can start automatically, but it cannot restore all loads correctly and quickly. For some important load equipment, there is a greater risk of power failure and hidden dangers.

[0050] In response to the above technical problems, the embodiments of the present application provide an intelligent management and control method, device, system, electronic device and storage medium for an emergency power supply system, which can make the emergency power supply system observable, measurable and controllable, improve the daily maintenance efficiency and quality of the emergency power supply system, and effectively reduce the time required for emergency startup of the system, thereby improving the reliability and timeliness of the emergency power supply system.

[0051] See also Figure 1 , Figure 1 The figure is a flow chart of the intelligent control method for an emergency power supply system provided in an embodiment of the present application. The intelligent control method for an emergency power supply system provided in this embodiment is executed in an emergency power supply system, wherein multiple devices, emergency generators, distribution cabinets and main power supplies are connected to the emergency power supply system. The intelligent control method for an emergency power supply system may specifically include the following steps:

[0052] S1. Real-time collection of operating status parameters of multiple access devices and main power supplies in the emergency power supply system. Access devices include emergency generators, power distribution cabinets and multiple power-consuming devices;

[0053] Specifically, for step S1, the operating status parameters of multiple access devices and the main power supply of the emergency power supply system are first collected in real time, where the access devices may specifically include emergency generators, distribution cabinets and multiple electrical equipment. The operating status parameter types may be key operating parameters such as temperature, voltage, and current. The collection method may be real-time collection through sensors and edge computing devices, and the data is transmitted to the central control system.

[0054] S2. Based on the operating status parameters of the main power supply, the operating status of the main power supply is detected;

[0055] Specifically, for step S2, the operating status of the main power supply is detected according to the collected operating status parameters of the main power supply, including power-off status detection and power supply status detection, wherein the power-off status detection refers to when the main power supply loses power, the power-off status is confirmed by analyzing the collected parameters (such as a voltage reading of zero); the power supply status detection refers to when the main power supply is powered on, the system also confirms the power supply status through real-time parameter monitoring.

[0056] S3. If it is detected that the operating state of the main power supply is a power failure state, a first power control strategy is generated to control multiple connected power devices based on the first power control strategy;

[0057] Specifically, for step S3, when the main power supply is in a power-off state, a first power management and control strategy is generated to automatically control the start-up of the emergency generator according to the first power management and control strategy, and monitor the state and operating parameters of the low-voltage circuit breaker of the power-consuming equipment.

[0058] S4. If it is detected that the operating state of the main power supply is the power supply state, a second power control strategy is generated to control the emergency generator and the distribution cabinet based on the second power control strategy;

[0059] Specifically, for step S4, when the main power supply is in the power supply state, a second power management and control strategy is generated to maintain and monitor the status of the emergency generator and the distribution cabinet according to the second power management and control strategy to ensure that they are available at any time.

[0060] In addition, this embodiment can also perform abnormality detection based on detecting abnormal closing state of the low-voltage circuit breaker or abnormal operating parameters of the electrical equipment, and predict potential faults and issue early warnings based on operating trend analysis.

[0061] In a specific embodiment, by connecting the generator, distribution cabinet and other equipment of the emergency power generation system to the dispatching emergency power generation system, the temperature, voltage, current and other values ​​of the equipment are collected and observed in real time to achieve the following functions: when the main power supply fails, the emergency generator is automatically controlled to start, and after the generator starts normally, it is detected whether the low-voltage circuit breaker of the electrical equipment is closed, whether the voltage and current are normal, and provide corresponding alarm information; when the main power supply is supplied, by collecting the temperature, voltage, current and other data of the low-voltage distribution cabinet, it is judged whether the distribution cabinet is operating normally; when the main power supply is supplied, by analyzing the temperature, voltage, current and other data of the low-voltage distribution cabinet, the operation trend of the distribution cabinet is predicted and early warning information is provided; when the main power supply is supplied, by collecting the temperature and oil level data of the generator, it is judged whether the generator is in an available state; when the main power supply is supplied, by analyzing the temperature and oil level data of the generator, the operation trend of the generator is predicted and early warning information is provided.

[0062] It can be seen that the intelligent management and control method for the emergency power supply system provided in this embodiment can quickly respond to the power failure of the main power supply through real-time monitoring and automatic control, thereby reducing the time for restoring power supply; through continuous monitoring and predictive maintenance, it can reduce power supply interruptions caused by equipment failures; the intelligent management and control strategy can optimize the allocation of power resources and improve energy efficiency according to actual needs and equipment status; the system can predict equipment failures and perform maintenance before problems occur, reducing the need and cost of emergency repairs; through real-time monitoring and anomaly detection, the system can promptly discover and deal with safety hazards to ensure the safe operation of the power supply system.

[0063] Further, in some embodiments, step S1 “real-time collection of operating status parameters of multiple access devices and a main power supply in the emergency power supply system” may specifically include:

[0064] S11. Respond to user control needs and determine monitoring targets and monitoring parameters;

[0065] S12. Determine the edge computing device and its installation location, as well as the sensor and its installation location based on the monitoring target and monitoring parameters;

[0066] S13. Collect the operating status parameters of multiple access devices and the main power supply in the emergency power supply system in real time through sensors, and send them to the edge computing device that communicates with them.

[0067] Specifically, for step S1, this embodiment provides a method based on edge computing technology to collect the operating status parameters of multiple access devices and the main power supply in the emergency power supply system in real time. First, respond to the user's management and control needs and determine the user's specific needs for the emergency power supply system, including attention to specific equipment, monitoring of specific parameters, etc.; according to user needs, determine the specific equipment that needs to be monitored (such as emergency generators, distribution cabinets) and the parameters that need to be collected (such as temperature, voltage, current); then, select a suitable edge computing device and determine its optimal installation position in the power supply emergency system to ensure the efficiency and accuracy of data collection; sensors are the key to data collection. It is necessary to select suitable sensors according to the monitoring objectives and parameters, and determine their installation positions on the equipment to achieve the best data collection effect; finally, collect data in real time through sensors, and send the data to the edge computing device, and the edge computing device then transmits the data to the central control system to achieve real-time monitoring and analysis of the data.

[0068] In a specific embodiment, first determine the key parameters that need to be monitored, such as voltage, current, frequency, temperature, oil level, etc.; clarify the monitoring objectives, such as preventive maintenance, fault diagnosis, real-time alarm, etc.; select appropriate edge computing hardware, such as industrial-grade computers, gateways or dedicated edge computing devices; install edge computing devices in key locations to ensure that all devices that need to be monitored can be covered; install sensors, such as voltage sensors, current sensors, temperature sensors, etc. on key devices of the emergency power supply system; ensure that the sensors can communicate with edge computing devices through appropriate interfaces (such as wireless or wired). In addition, develop or configure software to process sensor data in real time; integrate data analysis algorithms, such as machine learning models, to achieve fault prediction and anomaly detection. Select appropriate data transmission protocols, such as MQTT, CoAP, etc., to ensure real-time data transmission. Ensure the security of data transmission, using encryption and authentication mechanisms. Develop a user interface to display real-time data and system status; configure an alarm system to immediately notify maintenance personnel when an anomaly is detected. Finally, automatically execute control commands based on monitoring results, such as starting backup generators, switching loads, etc.; allow remote operators to manually intervene through edge computing devices. Test the performance and reliability of the monitoring system in a real environment, and optimize the data processing algorithm and system configuration based on the test results.

[0069] By carefully selecting and arranging sensors and edge computing devices, this embodiment can ensure that the collected data is both accurate and real-time, providing reliable data support for subsequent analysis and decision-making; by intelligently determining monitoring targets and parameters, it can more effectively utilize resources, reduce unnecessary data collection, and improve the operating efficiency of the system; it can be adjusted according to the needs of different users, has strong adaptability and flexibility, and can meet the monitoring needs in different scenarios; through automated data collection and preliminary processing, it reduces manual intervention and improves the intelligence level of the entire emergency power supply system; real-time data collection enables potential problems to be discovered in a timely manner, thereby taking preventive maintenance measures and reducing the probability of failures; through real-time monitoring and analysis, it can promptly discover and respond to various abnormal situations to ensure the safe and reliable operation of the emergency power supply system.

[0070] Further, in some embodiments, step S2 of “detecting the operating state of the main power supply based on the operating state parameter of the main power supply” may specifically include:

[0071] S21. Obtaining detection algorithms corresponding to different types of operating status parameters corresponding to the main power supply;

[0072] S22. Using a detection algorithm, the operating state of the main power supply is detected and analyzed according to different types of operating state parameters and their corresponding thresholds to determine the current operating state of the main power supply.

[0073] Specifically, for detecting the operating state of the main power supply in step S2, first, obtain or develop detection algorithms suitable for different types of operating state parameters, which can accurately determine the state of the main power supply based on the characteristics of the parameters and historical data; the operating state parameters of the main power supply can specifically include voltage stability, frequency, current intensity, power factor, etc., so each parameter requires a specific algorithm to analyze, and each parameter will have a preset normal operating range (threshold), and the detection algorithm will use these thresholds to determine whether the main power supply is within the normal operating range; then, input the real-time collected data into the detection algorithm, and analyze whether these data are within the preset threshold range through the detection algorithm. If the data exceeds the threshold, it is determined that there may be a problem with the main power supply; finally, determine whether the main power supply is in a normal power supply state, a power failure state, or other abnormal conditions based on the results of the algorithm analysis.

[0074] This embodiment can detect power supply problems in time by real-time monitoring and analyzing the operating status of the main power supply, so as to take corresponding measures, such as starting the emergency generator to ensure the continuity and reliability of power supply; the abnormal status of the main power supply can be detected quickly and accurately, which can significantly reduce the fault response time and reduce the losses caused by power outages; by analyzing the trend of the operating status parameters, the system can predict potential faults, so as to perform maintenance before the problem occurs, thereby improving the stability and life of the system; accurate operating status detection makes energy management more efficient, and can reasonably allocate resources, optimize energy use, and reduce energy waste; the automated detection and analysis process reduces manual intervention, improves the automation and intelligence level of the system, and makes the system more efficient and reliable; through real-time monitoring and timely response, the system can ensure that when there is a problem with the main power supply, it will quickly switch to the emergency power supply to ensure the safe operation of key equipment and systems.

[0075] Further, in some embodiments, step S3 of “managing and controlling multiple connected power-consuming devices based on the first power management and control strategy” may specifically include:

[0076] S31. Controlling the start of the emergency generator based on the first power management strategy;

[0077] S32. After the emergency generator is started normally, the closing state of the low-voltage circuit breaker corresponding to each connected electrical device and the operating state parameters of the electrical device are detected based on the first power management strategy;

[0078] S33. When it is detected that the closing state of any low-voltage circuit breaker is abnormal and / or the operating state parameter of any electrical equipment is abnormal, a corresponding alarm message is generated.

[0079] Specifically, for step S3, after detecting that the main power supply is in a power failure state, the system will automatically start the emergency generator to ensure the continuity of power supply; after the emergency generator is started, the system will detect whether the low-voltage circuit breaker corresponding to each connected power-consuming device is in a closed state to ensure that power can be smoothly transmitted to each device; in addition to detecting the state of the low-voltage circuit breaker, the system also needs to detect the operating state parameters of the power-consuming device, such as voltage, current and power, to ensure that the device can operate normally; if any abnormality is found during the detection process, such as abnormal closing state of the low-voltage circuit breaker or abnormal operating parameters of the power-consuming device, the system will generate corresponding alarm information so that the operator can take timely measures. In addition, the alarm information will be classified and different priorities will be set according to the severity to help operators quickly identify and respond to the most urgent problems.

[0080] This embodiment can quickly restore power supply and reduce the interruption time caused by power failure of the main power supply by automatically starting the emergency generator and detecting the status of electrical equipment. The system can ensure that when the main power supply fails, key equipment and systems can quickly switch to the emergency power supply, thereby improving the reliability of the entire power supply system. Through real-time monitoring and timely response to abnormal situations, potential safety hazards can be discovered and handled in a timely manner to ensure the safety of personnel and equipment. The alarm information generated by the system helps maintenance personnel to quickly locate problems, optimize fault response processes, and reduce fault handling time. Through precise control and monitoring of electrical equipment, energy use can be more effectively managed, energy distribution can be optimized, and energy efficiency can be improved. Automated management and control strategies and abnormality detection mechanisms reduce manual intervention, improve the automation and intelligence level of the system, and make the system more efficient and reliable.

[0081] Further, in some embodiments, step S4 “controlling the emergency generator and the power distribution cabinet based on the second power control strategy” may specifically include:

[0082] S41. Collecting operating status parameters of the distribution cabinet based on the second power management and control strategy;

[0083] S42. Based on the operating status parameters of the distribution cabinet, determine whether the operating status of the distribution cabinet is normal;

[0084] S43. Analyze the operating status parameters of the distribution cabinet, predict the operating trend of the distribution cabinet, and generate corresponding alarm information based on the operating trend.

[0085] Specifically, in step S4, after detecting that the main power supply is in the power supply state, the operating status parameters of the distribution cabinet, such as temperature, voltage, current, etc., are collected in real time to evaluate its operating status; using the collected parameters, the system will determine whether the distribution cabinet is operating normally, including checking whether there is overload, overheating or other conditions that may affect the normal operation of the distribution cabinet; through in-depth analysis of the operating parameters of the distribution cabinet, its operating trend is predicted to identify possible problems, such as component wear or performance degradation; if the analysis results show that the distribution cabinet has potential problems or a poor operating trend, an alarm message is generated so that maintenance personnel can take timely measures; at the same time, the operating status parameters of the emergency generator, such as temperature, oil level, etc., are collected to ensure that it is available at any time; based on the collected parameters, the system will determine whether the emergency generator is in an available state to ensure that it can be quickly started when needed; the operating parameters of the emergency generator are analyzed to predict its possible future operating conditions for preventive maintenance.

[0086] Through real-time monitoring and predictive maintenance, this embodiment can promptly discover and handle problems with distribution cabinets and emergency generators, thereby reducing unexpected downtime; it can ensure that the distribution cabinets and emergency generators are always in good condition, so that when problems occur in the main power supply, they can quickly switch to emergency power supply to ensure the continuity of power supply; by monitoring and predicting the operating status of the distribution cabinets and emergency generators, energy use can be managed more effectively and energy efficiency can be improved; it can promptly discover and respond to potential problems with distribution cabinets and emergency generators, reducing safety risks caused by equipment failures; through predictive maintenance and timely fault response, it can reduce maintenance workload and related costs and extend equipment life; automated management and control strategies and anomaly detection mechanisms reduce manual intervention, improve the automation and intelligence level of the system, and make the system more efficient and reliable.

[0087] Further, in some embodiments, step S4 “controlling the emergency generator and the power distribution cabinet based on the second power control strategy” may further include:

[0088] S44. Collecting operating status parameters of the emergency generator based on the second power management and control strategy;

[0089] S45. Based on the operating status parameters of the emergency generator, determine whether the emergency generator is currently in an available state;

[0090] S46. Analyze the operating status parameters of the emergency generator, predict the operating trend of the generator, and generate corresponding alarm information based on the operating trend.

[0091] Specifically, for step S4, after detecting that the main power supply is in the power supply state, key operating state parameters of the emergency generator, such as temperature, oil level, voltage, etc., are collected to evaluate its operating status and readiness status; the collected parameters are used to determine whether the emergency generator is in an available state, including checking whether the oil level is sufficient, whether the temperature is normal, etc., to ensure that the generator can be quickly started when needed; through in-depth analysis of the operating parameters of the emergency generator, its possible future operating conditions are predicted to identify possible problems, such as component wear or performance degradation; if the analysis results show that the emergency generator has potential problems or a bad operating trend, an alarm message is generated so that maintenance personnel can take timely measures. This embodiment also ensures that when there is a problem with the main power supply, the emergency generator can quickly take over the power supply task and the distribution cabinet can correctly distribute electricity through the linkage control of the distribution cabinet and the emergency generator.

[0092] Through real-time monitoring and rapid response mechanisms, this embodiment can ensure that the emergency generator can be started quickly when the main power supply fails, thereby reducing the power supply interruption time; it can ensure that the emergency generator is always in good condition, so that it can quickly switch to emergency power supply when needed, to ensure the continuity and reliability of power supply; by monitoring and predicting the operating status of the emergency generator, preventive maintenance can be carried out to reduce unexpected downtime and maintenance costs; it can more effectively manage energy use, optimize energy distribution, and improve energy efficiency, especially in emergency situations; it can promptly discover and respond to potential problems of the emergency generator, reducing safety risks caused by equipment failure; the automated management and control strategies and anomaly detection mechanisms reduce manual intervention, improve the automation and intelligence level of the system, and make the system more efficient and reliable.

[0093] In a specific embodiment, this embodiment also provides a method for predicting the operating trends of emergency generators and distribution cabinets. Various sensors, such as temperature, pressure, current, voltage, oil level sensors, etc., are installed on the emergency generators and distribution cabinets to collect key operating data; record the number of startups, operating time, downtime and other operation logs of the equipment. The collected data is synchronized to a central database or data lake for centralized analysis, and the data is cleaned to handle missing values, outliers and noise to ensure the quality and consistency of the data. Statistical methods (such as moving average, trend line analysis) are used to identify basic trends and patterns in the data. Machine learning algorithms (such as regression analysis, decision trees, random forests, neural networks) are applied to predict the future performance and potential failures of the equipment. A real-time monitoring system is implemented to continuously track the key parameters of the equipment and detect anomalies in a timely manner. Equipment health indicators, such as temperature thresholds, current fluctuation ranges, etc., are defined to evaluate the status of the equipment. Historical failure data is studied to identify common failure modes and signs before failure. Predictive models, such as the remaining useful life (RUL) model, are developed to predict the possible failure time and maintenance requirements of the equipment. Use time series analysis techniques (e.g. ARIMA, seasonal decomposition) to predict how equipment performance will change over time. Simulate different operating scenarios (e.g. extreme temperatures, high load conditions) to predict how the equipment will perform under those conditions.

[0094] In addition, you can develop visualization tools such as dashboards to display real-time data, forecast results, and health indicators. Generate regular equipment performance and forecast reports for reference by maintenance teams and decision makers. Establish a feedback mechanism to collect observations and feedback from operators to adjust and optimize the forecast model. Regularly update and optimize the forecast model to adapt to changes in equipment performance and new data. Develop preventive maintenance plans based on forecast results to reduce unexpected downtime and maintenance costs. Optimize the allocation of maintenance resources to ensure that critical equipment is maintained and inspected in a timely manner.

[0095] In summary, the present embodiment provides an intelligent control method for an emergency power supply system, including: real-time collection of operating status parameters of multiple access devices and main power supplies in the emergency power supply system, the access devices including emergency generators, power distribution cabinets and multiple power-consuming devices; based on the operating status parameters of the main power supply, detecting the operating status of the main power supply; if it is detected that the operating status of the main power supply is a power-off state, generating a first power control strategy to control multiple accessed power-consuming devices based on the first power control strategy; if it is detected that the operating status of the main power supply is a power-on state, generating a second power control strategy to control the emergency generator and power distribution cabinet based on the second power control strategy. It can be seen that the present embodiment provides an intelligent control scheme for an emergency power supply system, through real-time monitoring and automatic control, the system can quickly respond to the power failure event of the main power supply and reduce the time to restore power supply; through continuous monitoring and predictive maintenance, it can timely discover and deal with safety hazards, reduce power supply interruptions caused by equipment failures, reduce the demand and cost of emergency repairs, and thus ensure the safe operation of the power supply system; in addition, the intelligent control strategy provided by the present application can optimize the allocation of power resources and improve energy efficiency according to actual needs and equipment status.

[0096] In order to facilitate better implementation of the intelligent control method for emergency power supply system of the embodiment of the present application, the embodiment of the present application also provides an intelligent control device for emergency power supply system. The meaning of the terms is the same as that in the above-mentioned intelligent control method for emergency power supply system, and the specific implementation details can refer to the description in the method embodiment.

[0097] See also Figure 2 , Figure 2 A schematic diagram of the structure of an intelligent control device for an emergency power supply system provided in an embodiment of the present application, wherein the intelligent control device for an emergency power supply system may specifically include a collection module 201, a detection module 202, a first control module 203, and a second control module 204, which may be specifically as follows:

[0098] The acquisition module 201 is used to collect the operating status parameters of multiple access devices and the main power supply in the emergency power supply system in real time. The access devices include emergency generators, power distribution cabinets and multiple power-consuming devices;

[0099] A detection module 202, configured to detect the operating state of the main power supply based on the operating state parameters of the main power supply;

[0100] The first control module 203 is used to generate a first power control strategy if it is detected that the operating state of the main power supply is a power failure state, so as to control the multiple connected power-consuming devices based on the first power control strategy;

[0101] The second control module 204 is used to generate a second power control strategy if it is detected that the operating state of the main power supply is the power supply state, so as to control the emergency generator and the distribution cabinet based on the second power control strategy.

[0102] Furthermore, in some embodiments, the acquisition module 201 may specifically include:

[0103] A first determination unit, used to respond to user management and control requirements and determine monitoring targets and monitoring parameters;

[0104] A second determination unit, configured to determine an edge computing device and an installation location thereof, and a sensor and an installation location thereof, based on a monitoring target and a monitoring parameter;

[0105] The first acquisition unit is used to collect the operating status parameters of multiple access devices and the main power supply in the emergency power supply system in real time through sensors, and send them to the edge computing device communicating therewith.

[0106] Furthermore, in some embodiments, the detection module 202 may specifically include:

[0107] An algorithm acquisition unit, used to acquire detection algorithms corresponding to different types of operating status parameters corresponding to the main power supply;

[0108] The algorithm detection unit is used to detect and analyze the operating state of the main power supply according to different types of operating state parameters and their corresponding thresholds through a detection algorithm to determine the current operating state of the main power supply.

[0109] Furthermore, in some embodiments of the present application, the first control module 203 may specifically include:

[0110] A first control unit, configured to control the start-up of the emergency generator based on a first power management and control strategy;

[0111] A first control unit is used to detect the closing state of the low-voltage circuit breaker corresponding to each connected electrical equipment and the operating state parameters of the electrical equipment based on the first power control strategy after the emergency generator is started normally;

[0112] The first alarm unit is used to generate corresponding alarm information when detecting that the closing state of any low-voltage circuit breaker is abnormal and / or the operating state parameter of any electrical equipment is abnormal.

[0113] Further, in some embodiments of the present application, the second control module 204 may specifically include:

[0114] A second collection unit, used to collect operating status parameters of the distribution cabinet based on a second power management and control strategy;

[0115] A first judgment unit, used to judge whether the operation state of the power distribution cabinet is normal based on the operation state parameters of the power distribution cabinet;

[0116] The second alarm unit is used to analyze the operating status parameters of the distribution cabinet, predict the operating trend of the distribution cabinet, and generate corresponding alarm information based on the operating trend.

[0117] Furthermore, in some embodiments of the present application, the second control module 204 may further specifically include:

[0118] A third collection unit, used to collect operating status parameters of the emergency generator based on the second power management and control strategy;

[0119] A second judgment unit is used to judge whether the emergency generator is currently in an available state based on the operating state parameters of the emergency generator;

[0120] The third alarm unit is used to analyze the operating status parameters of the emergency generator, predict the operating trend of the generator, and generate corresponding alarm information based on the operating trend.

[0121] To summarize, the intelligent management and control device for an emergency power supply system provided in this embodiment collects operating status parameters of multiple access devices and a main power supply in the emergency power supply system in real time through the acquisition module 201, wherein the access devices include an emergency generator, a distribution cabinet, and multiple electrical equipment; detects the operating status of the main power supply based on the operating status parameters of the main power supply through the detection module 202; generates a first power management and control strategy if it is detected through the first management and control module 203 that the operating status of the main power supply is a power-off state, so as to manage multiple accessed electrical equipment based on the first power management and control strategy; generates a second power management and control strategy if it is detected through the second management and control module 204 that the operating status of the main power supply is a power-on state, so as to manage the emergency generator and the distribution cabinet based on the second power management and control strategy. It can be seen that this embodiment can quickly respond to power outages of the main power supply and reduce the time to restore power supply through real-time monitoring and automatic control; through continuous monitoring and predictive maintenance, it can promptly discover and deal with safety hazards, reduce power outages caused by equipment failures, and reduce the need and cost of emergency repairs, thereby ensuring the safe operation of the power supply system; in addition, the intelligent management and control strategy provided in this embodiment can optimize the allocation of power resources and improve energy efficiency according to actual needs and equipment status.

[0122] An embodiment of the present application also provides an emergency power supply system, including the intelligent management and control device for the emergency power supply system as described above, as well as a main power supply, an emergency generator, a distribution cabinet and multiple electrical equipment.

[0123] Specifically, the intelligent management and control device includes a collection module, a detection module, a first management and control module and a second management and control module, which are used to realize intelligent management of the entire power supply emergency system; the main power supply is used as the main power source when the system is operating normally; the emergency generator is used to provide backup power when the main power supply fails to ensure the continuous operation of key equipment and systems; the distribution cabinet is responsible for the distribution and control of electricity to ensure that electricity is distributed to various electrical equipment according to demand; electrical equipment refers to equipment that requires power supply to work normally, such as lighting, computer systems, medical equipment, etc. The emergency power supply system provided in this embodiment monitors the status of the main power supply and the emergency generator, as well as the operation of the distribution cabinet and electrical equipment in real time through an intelligent management and control device. When the main power supply is detected to be lost, the emergency generator is automatically started, and the settings of the distribution cabinet are adjusted to switch to the emergency power supply mode. By analyzing the operating data, potential equipment failures and maintenance needs are predicted, so that maintenance can be carried out in advance to reduce unexpected downtime.

[0124] In addition, the present application also provides an electronic device, such as Figure 3 , which shows a schematic diagram of the structure of an electronic device involved in an embodiment of the present application. Specifically, the electronic device may include a processor 301 with one or more processing cores, a memory 302 with one or more computer-readable storage media, a power supply 303, an input unit 304 and other components. Those skilled in the art can understand that Figure 3 The electronic device structure shown in the figure does not constitute a limitation on the electronic device, and may include more or fewer components than shown in the figure, or combine certain components, or arrange the components differently.

[0125] The processor 301 is the control center of the electronic device. It uses various interfaces and lines to connect various parts of the entire electronic device. By running or executing software programs and / or modules stored in the memory 302, and calling data stored in the memory 302, it executes various functions of the electronic device and processes data, thereby monitoring the electronic device as a whole. Optionally, the processor 301 may include one or more processing cores; preferably, the processor 301 may integrate an application processor and a modem processor, wherein the application processor mainly processes the operating system, user interface, and application programs, and the modem processor mainly processes wireless communications. It is understandable that the above-mentioned modem processor may not be integrated into the processor 301.

[0126] The memory 302 can be used to store software programs and modules. The processor 301 executes various functional applications and intelligent management and control methods for emergency power supply systems by running the software programs and modules stored in the memory 302. The memory 302 may mainly include a program storage area and a data storage area, wherein the program storage area may store an operating system, an application required for at least one function (such as a sound playback function, an image playback function, etc.), etc.; the data storage area may store data created according to the use of the electronic device, etc. In addition, the memory 302 may include a high-speed random access memory, and may also include a non-volatile memory, such as at least one disk storage device, a flash memory device, or other volatile solid-state storage devices. Accordingly, the memory 302 may also include a memory controller to provide the processor 301 with access to the memory 302.

[0127] The electronic device also includes a power supply 303 for supplying power to each component. Preferably, the power supply 303 can be logically connected to the processor 301 through a power management system, so that the power management system can manage charging, discharging, power consumption and other functions. The power supply 303 can also include one or more DC or AC power supplies, recharging systems, power failure detection circuits, power converters or inverters, power status indicators and other arbitrary components.

[0128] The electronic device may further include an input unit 304, which may be used to receive input digital or character information and generate keyboard, mouse, joystick, optical or trackball signal input related to user settings and function control.

[0129] Although not shown, the electronic device may further include a display unit, etc., which will not be described in detail herein. Specifically in this embodiment, the processor 301 in the electronic device will load the executable files corresponding to the processes of one or more application programs into the memory 302 according to the following instructions, and the processor 301 will run the application programs stored in the memory 302, thereby realizing various functions, as follows:

[0130] Collect operating status parameters of multiple access devices and the main power supply in the emergency power supply system in real time, the access devices including the emergency generator, the distribution cabinet and multiple power-consuming devices; detect the operating status of the main power supply based on the operating status parameters of the main power supply; if it is detected that the operating status of the main power supply is a power-off state, generate a first power management and control strategy to control the multiple accessed power-consuming devices based on the first power management and control strategy; if it is detected that the operating status of the main power supply is a power-on state, generate a second power management and control strategy to control the emergency generator and the distribution cabinet based on the second power management and control strategy.

[0131] The specific implementation of the above operations can be found in the previous embodiments, which will not be described in detail here.

[0132] Through real-time monitoring and automatic control, the embodiments of the present application can quickly respond to power outages of the main power supply and reduce the time to restore power supply; through continuous monitoring and predictive maintenance, it can promptly discover and address safety hazards, reduce power outages due to equipment failures, and reduce the need and cost of emergency repairs, thereby ensuring the safe operation of the power supply system; in addition, the intelligent management and control strategy of the embodiments of the present application can optimize the allocation of power resources and improve energy efficiency based on actual needs and equipment status.

[0133] A person of ordinary skill in the art will appreciate that all or part of the steps in the various methods of the above embodiments may be completed by instructions, or by controlling related hardware through instructions. The instructions may be stored in a computer-readable storage medium and loaded and executed by a processor.

[0134] To this end, an embodiment of the present application provides a storage medium in which a plurality of instructions are stored, and the instructions can be loaded by a processor to execute the steps of any one of the intelligent management and control methods for an emergency power supply system provided in the embodiment of the present application. For example, the instructions can execute the following steps:

[0135] Collect operating status parameters of multiple access devices and the main power supply in the emergency power supply system in real time, the access devices including the emergency generator, the distribution cabinet and multiple power-consuming devices; detect the operating status of the main power supply based on the operating status parameters of the main power supply; if it is detected that the operating status of the main power supply is a power-off state, generate a first power management and control strategy to control the multiple accessed power-consuming devices based on the first power management and control strategy; if it is detected that the operating status of the main power supply is a power-on state, generate a second power management and control strategy to control the emergency generator and the distribution cabinet based on the second power management and control strategy.

[0136] The specific implementation of the above operations can be found in the previous embodiments, which will not be described in detail here.

[0137] The storage medium may include: a read-only memory (ROM), a random access memory (RAM), a disk or an optical disk, etc. Since the instructions stored in the storage medium can execute the steps of any of the intelligent control methods for emergency power supply systems provided in the embodiments of the present application, the beneficial effects that can be achieved by any of the intelligent control methods for emergency power supply systems provided in the embodiments of the present application can be achieved. For details, please refer to the previous embodiments and will not be repeated here.

[0138] The above is a detailed introduction to the intelligent control method, device, system, electronic device and storage medium for an emergency power supply system provided in the embodiments of the present application. Specific examples are used in this article to illustrate the principles and implementation methods of the present application. The description of the above embodiments is only used to help understand the method of the present application and its core idea; at the same time, for technical personnel in this field, according to the ideas of the present application, there will be changes in the specific implementation methods and application scope. In summary, the content of this specification should not be understood as a limitation on the present application.

Claims

1. An intelligent management and control method for an emergency power supply system, characterized in that: The steps include: Real-time collection of operating status parameters of multiple access devices and main power supplies in the emergency power supply system, wherein the access devices include emergency generators, power distribution cabinets and multiple power-consuming devices; Based on the operating state parameters of the main power supply, detecting the operating state of the main power supply; If it is detected that the operating state of the main power supply is a power-off state, a first power control strategy is generated to control the multiple connected power-consuming devices based on the first power control strategy; If it is detected that the operating state of the main power supply is the power supply state, a second power management and control strategy is generated to control the emergency generator and the power distribution cabinet based on the second power management and control strategy.

2. The intelligent management and control method for emergency power supply system according to claim 1, characterized in that: The real-time collection of operating status parameters of multiple access devices and a main power supply in the emergency power supply system includes: Respond to user management and control needs and determine monitoring objectives and parameters; Based on the monitoring target and the monitoring parameters, determine the edge computing device and its installation location, and the sensor and its installation location; The sensor collects operating status parameters of multiple access devices and the main power supply in the emergency power supply system in real time and sends them to the edge computing device communicating therewith.

3. The intelligent management and control method for emergency power supply system according to claim 1, characterized in that: The detecting the operating state of the main power supply based on the operating state parameter of the main power supply includes: Obtain detection algorithms corresponding to different types of operating status parameters corresponding to the main power supply; The detection algorithm detects and analyzes the operating state of the main power supply according to different types of operating state parameters and their corresponding thresholds to determine the current operating state of the main power supply.

4. The intelligent management and control method for emergency power supply system according to claim 1, characterized in that: The controlling the plurality of connected power-consuming devices based on the first power control strategy includes: Controlling the start-up of the emergency generator based on the first power management and control strategy; After the emergency generator is started normally, based on the first power management and control strategy, the closing state of the low-voltage circuit breaker corresponding to each connected power-consuming device and the operating state parameters of the power-consuming device are respectively detected; When it is detected that the closing state of any of the low-voltage circuit breakers is abnormal and / or the operating state parameter of any of the electrical equipment is abnormal, corresponding alarm information is generated.

5. The intelligent management and control method for emergency power supply system according to claim 1, characterized in that: The controlling the emergency generator and the power distribution cabinet based on the second power control strategy includes: Collecting operating status parameters of the power distribution cabinet based on the second power management and control strategy; Based on the operating status parameters of the power distribution cabinet, determining whether the operating status of the power distribution cabinet is normal; The operating status parameters of the power distribution cabinet are analyzed, the operating trend of the power distribution cabinet is predicted, and corresponding alarm information is generated based on the operating trend.

6. The intelligent management and control method for emergency power supply system according to claim 1, characterized in that: The controlling the emergency generator and the power distribution cabinet based on the second power control strategy further includes: collecting operating status parameters of the emergency generator based on the second power management and control strategy; Based on the operating status parameters of the emergency generator, determining whether the emergency generator is currently in an available state; The operating status parameters of the emergency generator are analyzed, the operating trend of the generator is predicted, and corresponding alarm information is generated based on the operating trend.

7. An intelligent control device for an emergency power supply system, characterized in that: include: A collection module, used to collect in real time the operating status parameters of multiple access devices and the main power supply in the emergency power supply system, wherein the access devices include emergency generators, power distribution cabinets and multiple power-consuming devices; A detection module, used to detect the operating state of the main power supply based on the operating state parameters of the main power supply; a first control module, configured to generate a first power control strategy if it is detected that the operating state of the main power supply is a power-off state, so as to control the plurality of connected power-consuming devices based on the first power control strategy; The second control module is used to generate a second power control strategy if it is detected that the operating state of the main power supply is the power supply state, so as to control the emergency generator and the distribution cabinet based on the second power control strategy.

8. An emergency power supply system, characterized in that: It comprises the intelligent control device for the emergency power supply system as claimed in claim 7, as well as a main power supply, an emergency generator, a distribution cabinet and a plurality of electrical equipment.

9. An electronic device, characterized in that: include: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program according to the steps of the intelligent control method for an emergency power supply system as described in any one of claims 1 to 6.

10. A storage medium, characterized in that: A computer program is stored which can be loaded by a processor and executes the intelligent control method for an emergency power supply system as described in any one of claims 1 to 6.

Images