Power box real-time control method

Abstract

The invention relates to a power box real-time control method and device, computer equipment, a computer readable storage medium and a computer program product, and can be applied to the technical field of automation. The method comprises the steps of collecting operation data of a power box through a plurality of sensors arranged in the power box; the sensors comprise a temperature sensor, a vibration sensor, a current sensor and a voltage sensor; performing feature recognition processing on the operation data through the intelligent gateway to obtain feature data of the power box; performing state analysis processing on the feature data through an Internet of Things platform to obtain a state analysis result of the power box; generating control information of the power box according to the state analysis result; and controlling the power box according to the control information. By adopting the method, the control efficiency of the power box can be improved.

Description

Technical Field

[0001] The present application relates to the field of automation technology, and in particular to a power box real-time control method, device, computer equipment, computer-readable storage medium and computer program product. Background Art

[0002] With the development of automation technology, intelligent control of industrial equipment has become an important development direction. Power box is an important power transmission equipment in many industrial equipment. How to efficiently control the power box has become an important research direction.

[0003] Traditional technology usually controls the power box through manual control; however, controlling the power box through this method requires a lot of manual processing time, resulting in low efficiency of power box control. Summary of the invention

[0004] Based on this, it is necessary to provide a power box real-time control method, device, computer equipment, computer readable storage medium and computer program product that can improve the efficiency of power box control in order to address the above technical problems.

[0005] In a first aspect, the present application provides a real-time control method for a power box. The method comprises:

[0006] The operation data of the power box is collected by multiple sensors arranged in the power box; the sensors include temperature sensors, vibration sensors, current sensors and voltage sensors;

[0007] Performing feature recognition processing on the operating data through an intelligent gateway to obtain feature data of the power box;

[0008] Performing status analysis on the characteristic data through the Internet of Things platform to obtain a status analysis result of the power box;

[0009] generating control information of the power box according to the state analysis result;

[0010] The power box is controlled according to the control information.

[0011] In one embodiment, the state analysis processing of the characteristic data through the Internet of Things platform to obtain the state analysis result of the power box includes:

[0012] Performing fault state analysis processing on the characteristic data through the fault state analysis model of the Internet of Things platform to obtain fault state analysis information of the power box;

[0013] A status analysis result of the power box is generated according to the fault status analysis information.

[0014] In one embodiment, generating control information of the power box according to the state analysis result includes:

[0015] According to a preset multi-level warning mechanism, the state analysis result is subjected to warning level identification processing to obtain the warning level of the power box;

[0016] A control instruction corresponding to the warning level is generated as control information of the power box.

[0017] In one embodiment, controlling the power box according to the control information includes:

[0018] The control command corresponding to the control information is sent to the control end of the power box through the remote control system; the control end is used to control the power box according to the control command;

[0019] receiving an execution result corresponding to the control instruction returned by the control terminal;

[0020] According to the execution result, control feedback information of the power box is determined.

[0021] In one embodiment, the operation data of the power box is collected by using a plurality of sensors disposed in the power box, including:

[0022] Collecting temperature data of the power box by means of the temperature sensor disposed in the power box;

[0023] The vibration data of the power box is collected by the vibration sensor disposed in the power box;

[0024] The current data of the power box is collected by the current sensor disposed in the power box;

[0025] The voltage data of the power box is collected by the voltage sensor disposed in the power box;

[0026] The temperature data, the vibration data, the current data and the voltage data are fused and processed to obtain the operation data of the power box.

[0027] In one embodiment, before the intelligent gateway performs feature recognition processing on the operation data to obtain feature data of the power box, the method further includes:

[0028] Performing standardization processing on the operating data to obtain standard data corresponding to the operating data;

[0029] The step of performing feature recognition processing on the operation data through the intelligent gateway to obtain feature data of the power box includes:

[0030] The intelligent gateway performs feature recognition processing on the standard data to obtain feature data of the power box.

[0031] In a second aspect, the present application also provides a power box real-time control device. The device comprises:

[0032] A data acquisition module, used to collect the operation data of the power box through a plurality of sensors arranged in the power box; the sensors include a temperature sensor, a vibration sensor, a current sensor and a voltage sensor;

[0033] A data identification module, used to perform feature identification processing on the operating data through an intelligent gateway to obtain feature data of the power box;

[0034] A data analysis module, used to perform state analysis processing on the characteristic data through the Internet of Things platform to obtain a state analysis result of the power box;

[0035] An information generating module, used for generating control information of the power box according to the state analysis result;

[0036] The target control module is used to control the power box according to the control information.

[0037] In a third aspect, the present application further provides a computer device. The computer device includes a memory and a processor, the memory stores a computer program, and the processor implements the following steps when executing the computer program:

[0038] The operation data of the power box is collected by multiple sensors arranged in the power box; the sensors include temperature sensors, vibration sensors, current sensors and voltage sensors;

[0039] Performing feature recognition processing on the operating data through an intelligent gateway to obtain feature data of the power box;

[0040] Performing status analysis on the characteristic data through the Internet of Things platform to obtain a status analysis result of the power box;

[0041] generating control information of the power box according to the state analysis result;

[0042] The power box is controlled according to the control information.

[0043] In a fourth aspect, the present application further provides a computer-readable storage medium. The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the following steps are implemented:

[0044] The operation data of the power box is collected by multiple sensors arranged in the power box; the sensors include temperature sensors, vibration sensors, current sensors and voltage sensors;

[0045] Performing feature recognition processing on the operating data through an intelligent gateway to obtain feature data of the power box;

[0046] Performing status analysis on the characteristic data through the Internet of Things platform to obtain a status analysis result of the power box;

[0047] generating control information of the power box according to the state analysis result;

[0048] The power box is controlled according to the control information.

[0049] In a fifth aspect, the present application further provides a computer program product. The computer program product includes a computer program, and when the computer program is executed by a processor, the following steps are implemented:

[0050] The operation data of the power box is collected by multiple sensors arranged in the power box; the sensors include temperature sensors, vibration sensors, current sensors and voltage sensors;

[0051] Performing feature recognition processing on the operating data through an intelligent gateway to obtain feature data of the power box;

[0052] Performing status analysis on the characteristic data through the Internet of Things platform to obtain a status analysis result of the power box;

[0053] generating control information of the power box according to the state analysis result;

[0054] The power box is controlled according to the control information.

[0055] The above-mentioned power box real-time control method, device, computer equipment, computer-readable storage medium and computer program product collect the operation data of the power box through multiple sensors set in the power box; the sensors include temperature sensors, vibration sensors, current sensors and voltage sensors; the operation data is processed by the intelligent gateway to obtain the characteristic data of the power box; the characteristic data is processed by the Internet of Things platform to obtain the state analysis results of the power box; the control information of the power box is generated according to the state analysis results; the power box is controlled according to the control information. This solution realizes comprehensive monitoring of the operation status of the power box by setting temperature sensors, vibration sensors, current sensors and voltage sensors in the power box; the operation data is processed by the intelligent gateway to extract characteristic data; the characteristic data is processed by the Internet of Things platform to realize intelligent judgment of the power box state; finally, the control information is automatically generated and executed according to the analysis results, which effectively reduces the manual intervention link; this automated monitoring, analysis and control process improves the efficiency and accuracy of power box control. BRIEF DESCRIPTION OF THE DRAWINGS

[0056] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the related technologies, the drawings required for use in the embodiments or the related technical descriptions are briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0057] Figure 1 A schematic diagram of a flow chart of a method for real-time control of a power box in one embodiment;

[0058] Figure 2 A schematic diagram of the architecture of a power box real-time control method in one embodiment;

[0059] Figure 3 A functional structure diagram of a power box real-time control method in one embodiment;

[0060] Figure 4 It is a structural block diagram of a real-time control device for a power box in one embodiment;

[0061] Figure 5 FIG. 4 is a diagram showing the internal structure of a computer device in one embodiment. DETAILED DESCRIPTION

[0062] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0063] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of relevant data must comply with relevant regulations.

[0064] In an exemplary embodiment, Figure 1 As shown, a power box real-time control method is provided. This embodiment uses the method applied to an intelligent maintenance power box real-time management platform (such as a terminal, or a terminal with an intelligent maintenance power box real-time management platform installed) as an example for illustration; it can be understood that the method can also be applied to a server, and can also be applied to a system including a terminal and a server, and is implemented through the interaction between the terminal and the server. Among them, the terminal can be but is not limited to various personal computers, laptops, smart phones, tablet computers, etc.; the server can be an independent physical server, or a server cluster or distributed system composed of multiple physical servers, or a cloud server that provides cloud computing services. In this embodiment, the method includes the following steps:

[0065] Step S101, collecting the operating data of the power box through a plurality of sensors arranged in the power box; the sensors include a temperature sensor, a vibration sensor, a current sensor and a voltage sensor.

[0066] Step S102: Perform feature recognition processing on the operating data through the intelligent gateway to obtain feature data of the power box.

[0067] Step S103, performing status analysis processing on the characteristic data through the Internet of Things platform to obtain a status analysis result of the power box.

[0068] Step S104: Generate control information of the power box according to the status analysis result.

[0069] Step S105, controlling the power box according to the control information.

[0070] Among them, the power box can be a device in the field of industrial automation and intelligent management. For example, the power box can be an industrial equipment that requires real-time monitoring, fault diagnosis and intelligent maintenance.

[0071] The sensor may be a data acquisition device for acquiring operating data of the power box. For example, the sensor may be a device that can realize high-precision data acquisition and support multi-parameter monitoring.

[0072] The temperature sensor may be a sensor for detecting the temperature of the power box. For example, the temperature sensor may be a device deployed at a key position inside the power box for collecting temperature data in real time.

[0073] Among them, the vibration sensor can be a sensor for detecting the vibration of the power box. For example, the vibration sensor can be a device deployed at a key position inside the power box to collect vibration data in real time.

[0074] The current sensor may be a sensor for detecting the current of the power box. For example, the current sensor may be a device deployed at a key position inside the power box for collecting current data in real time.

[0075] Among them, the voltage sensor can be a sensor for detecting the voltage of the power box. For example, the voltage sensor can be a device deployed at a key position inside the power box for collecting voltage data in real time.

[0076] Among them, the intelligent gateway can be a data processing device with edge computing capabilities. For example, the intelligent gateway can be a device that can uniformly collect, store, and analyze terminal data, and realize data parsing and modeling.

[0077] Among them, the Internet of Things platform can be an integrated platform for data processing and analysis. For example, the Internet of Things platform can be a platform with functions such as full-network object model management, data modeling, and device information management.

[0078] The operating data may be raw data generated by the power box during operation. For example, the operating data may be real-time collected data of parameters such as temperature, vibration, current, and voltage.

[0079] The characteristic data may be data processed by an intelligent gateway, for example, the characteristic data may be standardized data after data analysis and modeling.

[0080] The status analysis result may be a result obtained after the IoT platform analyzes the characteristic data. For example, the status analysis result may be an identification result of an abnormal status and potential fault of a device.

[0081] The control information may be a control instruction generated according to the status analysis result. For example, the control information may be a control instruction in a format such as JSON (JavaScript Object Notation) or XML (Extensible Markup Language).

[0082] Optionally, the intelligent maintenance power box real-time management platform collects the operation data of the power box through high-precision temperature sensors, vibration sensors, current sensors and voltage sensors deployed at key locations inside the power box; wireless sensor network technology is used to realize wireless transmission of data; then, the intelligent maintenance power box real-time management platform pre-processes and features the collected operation data through the edge computing technology of the intelligent gateway, including data noise reduction, feature extraction and other operations, and formats the feature data according to a unified object model standard; then, the intelligent maintenance power box real-time management platform uses the machine learning and deep learning algorithms of the Internet of Things platform to conduct an in-depth analysis of the feature data, identifies the abnormal state and potential faults of the power box through a multi-level early warning mechanism (including preliminary warning, advanced warning and emergency warning), and obtains the state analysis results of the power box; finally, the intelligent maintenance power box real-time management platform generates control information in a standard format through a visual operation interface based on the state analysis results, and sends the control information to the control unit of the power box through SSL / TLS (Secure Sockets Layer / Transport Layer Security) encrypted transmission to perform corresponding control operations.

[0083] In the above-mentioned real-time control method of the power box, the operation data of the power box is collected by multiple sensors arranged in the power box; the sensors include temperature sensors, vibration sensors, current sensors and voltage sensors; the operation data is processed by the intelligent gateway to obtain the characteristic data of the power box; the characteristic data is processed by the Internet of Things platform to obtain the state analysis results of the power box; the control information of the power box is generated according to the state analysis results; and the power box is controlled according to the control information. This solution realizes comprehensive monitoring of the operation status of the power box by arranging temperature sensors, vibration sensors, current sensors and voltage sensors in the power box; the operation data is processed by the intelligent gateway to extract characteristic data; the characteristic data is processed by the Internet of Things platform to realize intelligent judgment of the power box state; finally, the control information is automatically generated and executed according to the analysis results, which effectively reduces the manual intervention link; this automated monitoring, analysis and control process improves the efficiency and accuracy of power box control.

[0084] In an exemplary embodiment, the characteristic data is subjected to state analysis processing through the Internet of Things platform to obtain a state analysis result of the power box, which specifically includes the following contents: through the fault state analysis model of the Internet of Things platform, the characteristic data is subjected to fault state analysis processing to obtain fault state analysis information of the power box; based on the fault state analysis information, the state analysis result of the power box is generated.

[0085] Among them, the fault status analysis model can be an analysis model based on machine learning and deep learning algorithms. For example, the fault status analysis model can be an intelligent analysis model that can automatically learn fault characteristics from data and realize accurate fault classification and identification.

[0086] The fault status analysis information may be the result of identifying abnormal operating conditions and potential faults of the power box. For example, the fault status analysis information may be analysis information including the fault type, location and severity.

[0087] The status analysis result may be a comprehensive analysis conclusion generated based on the fault status analysis information. For example, the status analysis result may be an analysis result including multiple levels of warning information such as preliminary warning, advanced warning and emergency warning.

[0088] Optionally, the intelligent maintenance power box real-time management platform first performs an in-depth analysis of the feature data through the fault status analysis model of the Internet of Things platform. The fault status analysis model uses machine learning and deep learning algorithms and can automatically learn fault characteristics from the data; then, the intelligent maintenance power box real-time management platform performs noise reduction and feature extraction on the feature data through the fault status analysis model, identifies the abnormal state and potential faults of the power box, and generates fault status analysis information including the fault type, location and severity; then, the intelligent maintenance power box real-time management platform generates a status analysis result of the power box based on the fault status analysis information and a preset multi-level early warning mechanism (including preliminary warning, advanced warning and emergency warning).

[0089] The technical solution provided in this embodiment analyzes and processes the characteristic data through the fault state analysis model of the Internet of Things platform, realizes the professional analysis of the power box fault state, and avoids the subjectivity and uncertainty of traditional manual analysis; by converting the fault state analysis information into the state analysis result, the standardized output of the fault state information is realized. This analysis and processing method based on the Internet of Things platform significantly improves the accuracy of the power box fault state analysis and provides a reliable basis for subsequent fault handling.

[0090] In an exemplary embodiment, control information of the power box is generated based on the status analysis results, which specifically includes the following contents: according to a preset multi-level warning mechanism, the status analysis results are processed to identify the warning level to obtain the warning level of the power box; and a control instruction corresponding to the warning level is generated as the control information of the power box.

[0091] Among them, the multi-level early warning mechanism can be a hierarchical early warning system. For example, the multi-level early warning mechanism can be an early warning mechanism including different levels such as preliminary warning, advanced warning and emergency warning.

[0092] The warning level identification process may be a process of performing graded judgment on the status analysis results. For example, the warning level identification process may be a process of grading the operating status of the power box according to set warning thresholds and parameters.

[0093] Among them, the warning level can be a level identification indicating the degree of abnormality of the power box operating status. For example, the warning level can be different levels such as preliminary warning, advanced warning or emergency warning.

[0094] The control instruction may be a specific operation command for controlling the operation of the power box. For example, the control instruction may be a device control command in JSON (JavaScript Object Notation) or XML (Extensible Markup Language) format.

[0095] Optionally, the intelligent maintenance power box real-time management platform first identifies the warning level of the status analysis results of the power box according to a preset multi-level warning mechanism. The warning mechanism includes three levels: preliminary warning, advanced warning and emergency warning. The specific warning level of the power box is determined by comparing various parameters in the status analysis results with preset warning thresholds. Then, the intelligent maintenance power box real-time management platform generates corresponding control instructions through the control instruction generation module according to the identified warning level, and packages these control instructions into control information in JSON (JavaScript Object Notation) or XML (Extensible Markup Language) format, and ensures the security of the instructions through SSL / TLS encrypted transmission.

[0096] The technical solution provided in this embodiment recognizes the warning level of the status analysis results through a preset multi-level warning mechanism, thereby realizing a graded warning of the power box operation status; and realizes differentiated control for different warning levels by generating control instructions corresponding to the warning level as control information. This control information generation method based on the warning level improves the accuracy and response efficiency of power box fault processing.

[0097] In an exemplary embodiment, the power box is controlled according to the control information, which specifically includes the following contents: sending the control instruction corresponding to the control information to the control end of the power box through the remote control system; the control end is used to control the power box according to the control instruction; receiving the execution result corresponding to the control instruction returned by the control end; and determining the control feedback information of the power box according to the execution result.

[0098] Among them, the remote control system can be a control system that builds a platform and a device-side command issuing channel. For example, the remote control system can be a system that inputs control commands through a visual operation interface and transmits them through SSL / TLS encryption.

[0099] The control end may be a control execution unit of the power box device end, for example, the control end may be a device terminal that receives control instructions and executes corresponding operations.

[0100] The execution result may be feedback of the operation status after the control terminal executes the control instruction. For example, the execution result may be status information of whether the operation is successful or failed.

[0101] The control feedback information may be comprehensive information on the completion of the control operation generated according to the execution result. For example, the control feedback information may be feedback data including operation status, execution time, execution effect, and the like.

[0102] Optionally, the intelligent maintenance power box real-time management platform first generates control instructions through the visual operation interface of the remote control system, converts the control instructions into JSON (JavaScript Object Notation) or XML (Extensible Markup Language) format, and sends the control instructions to the control end of the power box through SSL / TLS encrypted transmission via MQTT (Message Queue Telemetry Transmission) or HTTP / HTTPS (Hypertext Transfer Protocol / Secure Hypertext Transfer Protocol) protocol; then, the intelligent maintenance power box real-time management platform receives the execution results returned by the control end, parses and verifies the execution results, and generates control feedback information including operation status, execution time, execution effect and other information according to the execution results.

[0103] The technical solution provided in this embodiment realizes remote automatic control of the power box by sending control instructions to the power box control end through the remote control system and receiving the execution results; a complete control closed loop is formed by the control end returning the execution results and determining the control feedback information, which is conducive to timely grasping the execution status of the control instructions. This closed-loop control method based on remote control and feedback improves the accuracy of power box control.

[0104] In an exemplary embodiment, the operating data of the power box is collected by means of multiple sensors arranged in the power box, specifically including the following contents: the temperature data of the power box is collected by means of a temperature sensor arranged in the power box; the vibration data of the power box is collected by means of a vibration sensor arranged in the power box; the current data of the power box is collected by means of a current sensor arranged in the power box; the voltage data of the power box is collected by means of a voltage sensor arranged in the power box; the temperature data, vibration data, current data and voltage data are fused and processed to obtain the operating data of the power box.

[0105] The temperature data may be power box temperature information collected by a temperature sensor. For example, the temperature data may be power box temperature time series data monitored at a micro / nanosecond level.

[0106] The vibration data may be vibration information of the power box collected by a vibration sensor. For example, the vibration data may be vibration time series data of the power box monitored at a micro / nanosecond level.

[0107] The current data may be power box current information collected by a current sensor. For example, the current data may be power box current timing data monitored at a micro / nanosecond level.

[0108] The voltage data may be power box voltage information collected by a voltage sensor. For example, the voltage data may be power box voltage timing data monitored at a micro / nanosecond level.

[0109] Among them, fusion processing can be a process of comprehensive analysis and processing of data collected by multiple sensors. For example, fusion processing can be a process of local processing and integration of temperature data, vibration data, current data and voltage data through a data collector.

[0110] Optionally, a high-precision sensor network is deployed at key locations inside the power box, with temperature sensors installed in heat-intensive areas, vibration sensors installed around moving parts, current sensors and voltage sensors installed at key nodes of the power supply lines, and all sensors use micro / nanosecond sampling frequencies for data acquisition; the intelligent maintenance power box real-time management platform transmits the collected temperature data, vibration data, current data, and voltage data to the data collector, which performs local preprocessing and standardized conversion, and fuses these data in accordance with a unified physical model standard, ultimately forming standardized measurement data (operation data) that reflects the overall operating status of the power box.

[0111] The technical solution provided in this embodiment realizes multi-dimensional data collection of the power box operation status by deploying multiple sensors such as temperature sensors, vibration sensors, current sensors and voltage sensors in the power box, avoiding the monitoring blind spot caused by a single sensor; by fusing the collected temperature data, vibration data, current data and voltage data, complete operation data is formed, which is conducive to fully reflecting the operation status of the power box. This multi-sensor-based data collection and fusion processing method improves the comprehensiveness and accuracy of the power box operation status monitoring.

[0112] In an exemplary embodiment, before performing feature recognition processing on the operating data through the intelligent gateway to obtain the feature data of the power box, the following contents are also included: standardizing the operating data to obtain standard data corresponding to the operating data; performing feature recognition processing on the operating data through the intelligent gateway to obtain the feature data of the power box, which specifically includes the following contents: performing feature recognition processing on the standard data through the intelligent gateway to obtain the feature data of the power box.

[0113] Among them, standardization processing can be a process of converting data from different sources and formats into a unified standard format. For example, standardization processing can be a process of converting collected operating data into a standardized data format according to a unified physical model standard.

[0114] The standard data may be normalized data that has been subjected to standardization processing. For example, the standard data may be standardized measurement data that complies with a unified object model standard and is convenient for subsequent feature recognition processing.

[0115] Optionally, the intelligent maintenance power box real-time management platform first standardizes the collected operating data according to a unified physical model standard, including pre-processing operations such as data format conversion, unit unification, and time synchronization, and converts the processed data into standard formats such as JSON (JavaScript Object Notation) or XML (Extensible Markup Language); then, the intelligent maintenance power box real-time management platform uses the edge computing capability of the intelligent gateway to perform feature recognition processing on the standardized data, including data noise reduction, feature extraction, pattern recognition and other operations, and finally generates feature data containing key information such as the power box operating status, performance indicators, and fault characteristics.

[0116] The technical solution provided in this embodiment realizes the unification and standardization of data formats by standardizing the operating data before feature recognition processing; feature recognition processing is performed on the standardized data by the intelligent gateway, which is conducive to improving the accuracy and efficiency of feature recognition.

[0117] The following is an application example to illustrate the power box real-time control method provided by this application. This application example uses the method to apply to the intelligent maintenance power box real-time management platform as an example. Figure 2 and Figure 3 .

[0118] This application example involves the field of industrial automation and intelligent management, specifically a management platform for real-time monitoring, fault diagnosis and intelligent maintenance of power box equipment. The platform integrates advanced sensor technology, data processing and analysis technology, and remote communication technology to achieve real-time monitoring of the power box's operating status, fault warning and intelligent scheduling, significantly improving the maintenance efficiency and operating safety of the power box.

[0119] In the existing power box management system, most of them adopt the traditional regular maintenance and manual inspection methods, which have problems such as long maintenance cycle, low efficiency, and great safety hazards. With the development of industrial automation and intelligence, higher requirements are put forward for the management of power boxes. Therefore, it is of great significance to develop a real-time management platform that can monitor the operating status of the power box in real time, timely warn of faults, and intelligently dispatch maintenance tasks.

[0120] Involving technological developments:

[0121] 1. Advances in sensor technology: With the continuous development of sensor technology, modern sensors can achieve higher-precision data collection and support multi-parameter monitoring, such as temperature, vibration, current, voltage, etc., which makes it possible to fully monitor the power box. In addition, the application of wireless sensor network technology allows sensors to be flexibly deployed in various key parts of the power box, realizing wireless data transmission and reducing wiring costs and difficulties.

[0122] 2. Improvement of data processing and analysis capabilities: Cloud computing technology provides strong support for the storage and processing of massive data, while edge computing can perform preliminary processing at the source of data, reduce data transmission delays, and improve system response speed. Through big data analysis and artificial intelligence technology, the operating data of the power box can be deeply mined to discover potential operating problems and predict the occurrence of faults, providing decision support for intelligent maintenance.

[0123] 3. Innovation in fault diagnosis and early warning technology: The fault diagnosis model based on machine learning and deep learning algorithms can automatically learn fault characteristics from data, accurately classify and identify faults, and improve the accuracy and efficiency of fault diagnosis. Combined with real-time monitoring data and fault diagnosis results, the intelligent early warning system can detect potential faults in a timely manner and notify relevant personnel through various means, such as SMS, email, APP (application) push, etc., to ensure that the fault is handled in a timely manner.

[0124] 4. Integration of information and intelligent management platform: Integrate functions such as data collection, processing, analysis, fault diagnosis, early warning, dispatching and maintenance into a unified platform to achieve full life cycle management of the power box. Through the visual interface, key data such as the power box's operating status, fault information, and maintenance progress are displayed, so that managers can intuitively understand the operation of the power box and improve management efficiency.

[0125] In summary, the development of relevant technologies for the real-time management platform of intelligent maintenance power boxes shows a trend of high precision, multi-parameters, wireless, cloud computing, big data, intelligence, integration, visualization, high safety and reliability. The development of these technologies provides strong support for the intelligent management of power boxes and promotes the continuous deepening of industrial automation and intelligentization.

[0126] The relevant technologies can be summarized into the following aspects:

[0127] 1. Remote monitoring and data acquisition technology:

[0128] Related technology description: Currently, many industrial equipment have realized remote monitoring functions, which collect operating data in real time through sensors deployed on the equipment and transmit it to the remote monitoring center through wireless or wired networks. These technologies provide a data foundation for the real-time management platform of intelligent maintenance power boxes.

[0129] Technical features: High-precision, multi-parameter sensors, stable data transmission channels, and the data processing capabilities of the remote monitoring center together constitute the core of remote monitoring and data acquisition technology.

[0130] 2. Data processing and analysis technology:

[0131] Related technical description: With the development of big data and artificial intelligence technology, data processing and analysis technology has been widely used in various fields. In the field of industrial automation, the collected data can be cleaned, converted, modeled and analyzed through data analysis algorithms to discover abnormal conditions and potential problems in equipment operation.

[0132] Technical features: Big data processing technology can quickly process massive amounts of data, while artificial intelligence algorithms can learn from the data and extract valuable information to provide decision support for intelligent maintenance.

[0133] 3. Fault diagnosis and early warning technology:

[0134] Description of related technologies: Fault diagnosis and early warning technology is an important research direction in the field of industrial automation. Related technologies can realize fault diagnosis and early warning based on rules, statistical methods and machine learning algorithms. These technologies can identify the type, location and severity of faults by analyzing the equipment operation data, and issue early warning signals.

[0135] Technical features: The accuracy and timeliness of fault diagnosis and early warning technology are crucial to improving the reliability and safety of equipment. Relevant technologies can achieve these goals to a certain extent, but they still need to be continuously optimized and improved.

[0136] However, the related technologies have the following problems:

[0137] 1. Limitations of data collection and transmission: Sensor technology has made some progress, but in some complex environments, the accuracy and stability of sensors still need to be improved. At the same time, the coverage of the sensor may not be sufficient to fully monitor the key parts of the power box, resulting in blind spots in data collection. During the wireless transmission process, it will be affected by factors such as signal interference and network congestion, resulting in data transmission delays or losses. In addition, although the wired transmission method is stable, it has the problems of high wiring costs and difficult maintenance.

[0138] 2. Complexity of data processing and analysis: The amount of data generated by the operation of the power box is huge, and the data types are diverse, including structured data and unstructured data. How to efficiently and accurately process this data and extract valuable information is an important challenge facing current technology. The accuracy and adaptability of fault diagnosis and early warning algorithms directly affect the accuracy and timeliness of intelligent maintenance. However, existing algorithms have limitations in processing complex fault modes and are difficult to fully meet actual needs.

[0139] 3. Limitations of fault diagnosis and early warning: Due to imperfect algorithms or errors in data collection, fault diagnosis and early warning systems may have false alarms or missed alarms. False alarms increase the workload of maintenance personnel, while missed alarms may cause serious accidents. In the real-time monitoring process, how to ensure the timeliness and accuracy of early warning signals is a key issue. However, related technologies cannot issue early warning signals before a fault occurs, resulting in missing the best time to handle the problem.

[0140] 4. Integration and stability of intelligent maintenance system: Intelligent maintenance system needs to integrate multiple advanced technologies, including sensor technology, signal processing technology, intelligent control technology, etc. The integration and stability of these technologies directly affect the overall performance and reliability of the intelligent maintenance system. In practical applications, there are compatibility issues between different models of equipment, which increases the difficulty of system integration. In addition, there are technical barriers to data exchange and sharing between different systems.

[0141] Overview of this application example:

[0142] This application example uses the technical route model of intelligent gateway and Internet of Things platform to provide unified access and edge computing capabilities for online monitoring, robot control, video and other data, solving the problems of different communication protocols and difficult data sharing in the original monitoring system, and realizing unified collection, storage and analysis of terminal data:

[0143] 1. Design a real-time data processing system to monitor and pre-process the power box operation data online;

[0144] 2. Design standardized module interfaces and communication protocols to achieve seamless and fast access to any protocol device and ensure compatibility and interoperability between modules;

[0145] 3. Introduce cloud computing and Internet of Things technologies to achieve remote monitoring and intelligent control and scheduling management, and improve the overall performance and reliability of the system;

[0146] 4. Introduce an intelligent safety monitoring system to conduct real-time monitoring and early warning of the daily operation of the power box.

[0147] This application example aims to build a real-time management platform for intelligent maintenance power boxes. By integrating high-precision sensors, big data processing, machine learning algorithms, remote collaboration and other technical means, it can realize real-time monitoring of the power box operation status, intelligent analysis, fault warning, remote guidance, intelligent scheduling and optimization, etc., improve the operation reliability and safety of the power box, reduce maintenance costs, improve work efficiency, establish a set of standardized electricity consumption permit criteria, and accurately manage the power box-related electricity consumption to solve the problem of inaccurate electricity consumption indicators. At the same time, the platform can effectively calculate temporary electricity consumption.

[0148] The core content of this application example:

[0149] 1. Data acquisition and transmission system:

[0150] High-precision sensors: High-precision, multi-parameter sensors are deployed at key locations inside the power box, such as temperature sensors, vibration sensors, current sensors, voltage sensors, etc., to collect equipment operating data in real time.

[0151] Data monitoring standards: standards for building a unified access platform for multi-source data, providing unified and standardized object model standards, and achieving seamless and fast access to devices with any protocol.

[0152] Data collector: responsible for local processing of data collected by sensors and uploading it to the cloud server according to the communication protocol. The data collector has encryption / authentication, breakpoint resume, self-description, intelligent control and other functions to ensure the security and reliability of data transmission.

[0153] 2. Intelligent analysis system:

[0154] Big data processing platform: Utilize cloud computing and big data technologies to build an efficient data processing platform to quickly process and analyze the massive amounts of data collected. Improve data processing efficiency and accuracy through advanced technologies such as distributed computing and in-memory computing.

[0155] Intelligent analysis algorithm: Use machine learning, deep learning and other algorithms to conduct in-depth mining and analysis of processed data. The algorithm model can automatically identify abnormal conditions and potential faults of equipment, and predict the development trend of faults, providing a scientific basis for subsequent maintenance decisions.

[0156] 3. Fault warning and remote control system:

[0157] Multi-level early warning mechanism: Establish a multi-level early warning mechanism, including preliminary warning, advanced warning and emergency warning. By setting reasonable warning thresholds and parameters, ensure the timeliness and accuracy of early warning signals. Once an abnormal situation is detected, the system will automatically send early warning information to relevant personnel and prompt corresponding handling measures.

[0158] Remote control system: Build command issuing channels on the platform and device sides, input relevant control commands through the visual operation interface, and the control center receives user input and converts it into device-specific control command formats, such as JSON, XML, etc., and selects appropriate communication protocols according to the device and network environment, such as MQTT (message queue telemetry transmission), HTTP / HTTPS (hypertext transfer protocol / secure hypertext transfer protocol), CoAP (restricted application protocol), etc., and ensures the effective transmission of commands. At the same time, in order to ensure the security of issued commands, encryption methods such as SSL / TLS are used to protect data transmission, and identity authentication mechanisms are implemented to prevent unauthorized access. After receiving the command, the device side parses the command content, identifies the specific operation instructions and related parameters, and performs the corresponding operations according to the parsed results, and feeds back the execution results to the control center after the operation is completed.

[0159] 4.Informatization and intelligent management platform:

[0160] Highly integrated platform: Standardized interfaces and protocols are used to achieve seamless integration and data exchange between various systems. The management platform provides rich functional modules and a friendly user interface to facilitate users to perform equipment management, data query, report generation and other operations.

[0161] Among them, reference Figure 2 , the architecture of the intelligent maintenance power box real-time management platform of this application example is divided into three layers: application layer, platform layer and access layer. The application layer includes a business application system for consistency checking of the device information model. The platform layer is composed of the Internet of Things platform, which is used for access data analysis and modeling, including device information model and full network object model management. The access layer is composed of intelligent gateways, which are used for data collection modeling, including device information model and data modeling, and realize data analysis through edge fusion applications. There are multiple terminal devices connected at the bottom of the access layer. The entire system ensures the accuracy of data through consistency checking and distribution mechanisms. The data flow and processing process between each layer are as follows: the terminal device transmits data to the intelligent gateway; the intelligent gateway processes the data from the terminal through the data analysis function; after processing by the edge fusion application, the data is transmitted to the Internet of Things platform; the Internet of Things platform performs full network object model management and data modeling; the final processed data is transmitted to the business application system for application-level processing.

[0162] Among them, reference Figure 3, the functional structure of the intelligent maintenance power box real-time management platform of this application example includes multiple data sources, data access components, data processing center and management platform. Specifically: the data source level includes: sensing devices, micro / nanosecond monitoring data, time series database, system-type relational data and other data sources, pictures, videos, audio, other files and equipment fault recording data. These data are processed by four components: industrial IoT access components, cascade synchronization / ferry components, data components and unstructured access components, and the data are converted into two types: standardized measurement data and unstructured data. The core functional modules of the system include: application enablement, data cascading, rule engine, IoT management, cloud-edge collaboration, intelligent operation and maintenance, and connection management. In terms of data sources, the system supports multiple types of data, including: relational data, time series data, unstructured, semi-structured, cached data and vector data. Through intelligent IoT components (all types of automatic access) and service components, an industrial IoT platform is formed. In addition, there are two core platforms: industrial IoT management platform and industrial big data center.

[0163] The technical solution provided by this application example achieves the following technical effects:

[0164] 1. Improve maintenance efficiency: Through real-time monitoring and intelligent scheduling, rapid response and timely processing of power box failures are achieved, significantly shortening the maintenance cycle;

[0165] 2. Reduce safety risks: reduce the number and risks of manual inspections and maintenance, and improve the safety of power box operation;

[0166] 3. Optimize resource allocation: Intelligent scheduling is carried out according to the actual needs of maintenance tasks and resource conditions, realizing optimal allocation and efficient utilization of resources;

[0167] 4. Improve management level: Through data-driven management methods, comprehensive monitoring and refined management of the power box operating status are achieved, improving the overall management level.

[0168] It should be understood that, although the various steps in the flowcharts involved in the above-mentioned embodiments are displayed in sequence according to the indication of the arrows, these steps are not necessarily executed in sequence according to the order indicated by the arrows. Unless there is a clear explanation in this article, the execution of these steps does not have a strict order restriction, and these steps can be executed in other orders. Moreover, at least a part of the steps in the flowcharts involved in the above-mentioned embodiments can include multiple steps or multiple stages, and these steps or stages are not necessarily executed at the same time, but can be executed at different times, and the execution order of these steps or stages is not necessarily to be carried out in sequence, but can be executed in turn or alternately with other steps or at least a part of the steps or stages in other steps.

[0169] Based on the same inventive concept, the embodiment of the present application also provides a power box real-time control device for implementing the power box real-time control method involved above. The implementation scheme for solving the problem provided by the device is similar to the implementation scheme recorded in the above method, so the specific limitations in one or more power box real-time control device embodiments provided below can refer to the limitations of the power box real-time control method above, and will not be repeated here.

[0170] In an exemplary embodiment, Figure 4 As shown, a power box real-time control device is provided, and the power box real-time control device 400 may include:

[0171] The data acquisition module 401 is used to collect the operation data of the power box through multiple sensors arranged in the power box; the sensors include temperature sensors, vibration sensors, current sensors and voltage sensors;

[0172] The data identification module 402 is used to perform feature identification processing on the operation data through the intelligent gateway to obtain feature data of the power box;

[0173] The data analysis module 403 is used to perform state analysis on the characteristic data through the Internet of Things platform to obtain a state analysis result of the power box;

[0174] The information generation module 404 is used to generate control information of the power box according to the state analysis result;

[0175] The target control module 405 is used to control the power box according to the control information.

[0176] In an exemplary embodiment, the data analysis module 403 is also used to perform fault state analysis processing on the characteristic data through the fault state analysis model of the Internet of Things platform to obtain fault state analysis information of the power box; and generate a state analysis result of the power box based on the fault state analysis information.

[0177] In an exemplary embodiment, the information generation module 404 is also used to perform warning level identification processing on the status analysis results according to a preset multi-level warning mechanism to obtain the warning level of the power box; and generate control instructions corresponding to the warning level as control information of the power box.

[0178] In an exemplary embodiment, the target control module 405 is also used to send control instructions corresponding to the control information to the control end of the power box through the remote control system; the control end is used to control the power box according to the control instructions; receive the execution results corresponding to the control instructions returned by the control end; and determine the control feedback information of the power box according to the execution results.

[0179] In an exemplary embodiment, the data acquisition module 401 is also used to collect temperature data of the power box through a temperature sensor arranged in the power box; to collect vibration data of the power box through a vibration sensor arranged in the power box; to collect current data of the power box through a current sensor arranged in the power box; to collect voltage data of the power box through a voltage sensor arranged in the power box; and to fuse the temperature data, vibration data, current data and voltage data to obtain operation data of the power box.

[0180] In an exemplary embodiment, the device 400 also includes: a data processing module, which is used to standardize the operating data to obtain standard data corresponding to the operating data; a data identification module 402, which is also used to perform feature identification processing on the standard data through an intelligent gateway to obtain feature data of the power box.

[0181] Each module in the above-mentioned power box real-time control device can be implemented in whole or in part by software, hardware and their combination. Each module 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 in the computer device in the form of software, so that the processor can call and execute the operations corresponding to each module above.

[0182] In an exemplary embodiment, a computer device is provided. The computer device may be a terminal, and its internal structure diagram may be as shown in FIG. Figure 5 As shown. The computer device includes a processor, a memory, an input / output interface, a communication interface, a display unit and an input device. The processor, the memory and the input / output interface are connected through a system bus, and the communication interface, the display unit and the input device are connected to the system bus through the input / output interface. 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 and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The input / output interface of the computer device is used to exchange information between the processor and the external device. The communication interface of the computer device is used to communicate with an external terminal in a wired or wireless manner, and the wireless manner can be realized through WIFI, a mobile cellular network, NFC (near field communication) or other technologies. When the computer program is executed by the processor, a real-time control method of a power box is realized. The display unit of the computer device is used to form a visually visible picture, which can be a display screen, a projection device or a virtual reality imaging device. The display screen can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer device can be a touch layer covering the display screen, or a button, trackball or touchpad set on the computer device shell, or an external keyboard, touchpad or mouse.

[0183] Those skilled in the art will understand that Figure 5 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0184] In an exemplary embodiment, a computer device is further provided, including a memory and a processor, wherein a computer program is stored in the memory, and the processor implements the steps in the above-mentioned method embodiments when executing the computer program.

[0185] In an exemplary embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the steps in the above-mentioned method embodiments are implemented.

[0186] In an exemplary embodiment, a computer program product is provided, including a computer program, and when the computer program is executed by a processor, the steps in the above method embodiments are implemented.

[0187] 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 the memory, database or other medium used in the embodiments provided in this application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetoresistive random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. As an illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The database involved in each embodiment provided in this application may include at least one of a relational database and a non-relational database. Non-relational databases may include distributed databases based on blockchains, etc., but are not limited to this. The processor involved in each embodiment provided in this application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, etc., but are not limited to this.

[0188] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0189] The above-described embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the present application. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the attached claims.

Claims

1. A real-time control method for a power box, characterized in that: The method comprises: The operation data of the power box is collected by multiple sensors arranged in the power box; the sensors include temperature sensors, vibration sensors, current sensors and voltage sensors; Performing feature recognition processing on the operating data through an intelligent gateway to obtain feature data of the power box; Performing status analysis on the characteristic data through the Internet of Things platform to obtain a status analysis result of the power box; generating control information of the power box according to the state analysis result; The power box is controlled according to the control information.

2. The method according to claim 1, characterized in that The state analysis and processing of the characteristic data by the Internet of Things platform to obtain the state analysis result of the power box includes: Performing fault state analysis processing on the characteristic data through the fault state analysis model of the Internet of Things platform to obtain fault state analysis information of the power box; A status analysis result of the power box is generated according to the fault status analysis information.

3. The method according to claim 1, characterized in that Generating control information of the power box according to the state analysis result includes: According to a preset multi-level warning mechanism, the state analysis result is subjected to warning level identification processing to obtain the warning level of the power box; A control instruction corresponding to the warning level is generated as control information of the power box.

4. The method according to claim 1, characterized in that: The controlling the power box according to the control information includes: The control command corresponding to the control information is sent to the control end of the power box through the remote control system; the control end is used to control the power box according to the control command; receiving an execution result corresponding to the control instruction returned by the control terminal; According to the execution result, control feedback information of the power box is determined.

5. The method according to claim 1, characterized in that The operation data of the power box is collected by using a plurality of sensors disposed in the power box, including: Collecting temperature data of the power box by means of the temperature sensor disposed in the power box; The vibration data of the power box is collected by the vibration sensor disposed in the power box; The current data of the power box is collected by the current sensor disposed in the power box; The voltage data of the power box is collected by the voltage sensor disposed in the power box; The temperature data, the vibration data, the current data and the voltage data are fused and processed to obtain the operation data of the power box.

6. The method according to any one of claims 1 to 5, characterized in that Before the intelligent gateway performs feature recognition processing on the operation data to obtain feature data of the power box, the method further includes: Performing standardization processing on the operating data to obtain standard data corresponding to the operating data; The step of performing feature recognition processing on the operation data through the intelligent gateway to obtain feature data of the power box includes: The intelligent gateway performs feature recognition processing on the standard data to obtain feature data of the power box.

7. A real-time control device for a power box, characterized in that: The device comprises: A data acquisition module, used to collect the operation data of the power box through a plurality of sensors arranged in the power box; the sensors include a temperature sensor, a vibration sensor, a current sensor and a voltage sensor; A data identification module, used to perform feature identification processing on the operating data through an intelligent gateway to obtain feature data of the power box; A data analysis module, used to perform state analysis processing on the characteristic data through the Internet of Things platform to obtain a state analysis result of the power box; An information generating module, used for generating control information of the power box according to the state analysis result; The target control module is used to control the power box according to the control information.

8. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 6 are implemented.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

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