Intelligent inspection system and method for power plant
By adopting multi-source fusion positioning technology, dynamic path optimization, augmented reality information display and in-depth data analysis in the smart inspection system, the limitations of the existing system in positioning accuracy, path planning, information display and data analysis are solved, and more efficient and accurate power plant inspections are achieved.
Patent Information
- Application Number
- CN202510133283.5
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-02-06
- Publication Date
- 2025-05-27
AI Technical Summary
The existing smart inspection system has limitations in positioning accuracy, path planning, information display and data analysis, which makes it difficult to ensure inspection efficiency and quality.
Multi-source fusion positioning technology is adopted to combine GPS, WiFi and Bluetooth beacon technology to achieve high-precision indoor and outdoor positioning; the dynamic path optimization module dynamically adjusts inspection routes based on real-time device status and historical data; the information display unit provides intuitive and real-time information support through augmented reality technology and intelligent interface; the analysis and decision-making unit conducts in-depth analysis and decision-making support, improving fault prediction and emergency response capabilities.
It significantly improves the positioning accuracy and efficiency of inspections, improves the intuitiveness and interactivity of information display, enhances the ability to predict faults and respond to emergency, reduces labor costs, and improves the quality and safety of inspection work.
Smart Images

Figure CN120047415A_ABST
Abstract
Description
Technical Field
[0001] The present invention belongs to the technical field of power plant patrol inspection, and specifically relates to an intelligent patrol inspection system and method for power plants. Background Art
[0002] With the continuous development of the power industry, ensuring the safe and stable operation of power facilities has become one of the major challenges faced by power enterprises. The traditional power plant patrol inspection method mainly relies on manual work, which is not only time-consuming and laborious, but also difficult to ensure the patrol inspection quality and efficiency in a complex and changeable environment. In recent years, with the rapid development of advanced technologies such as the Internet of Things, big data, and artificial intelligence, intelligent patrol inspection has gradually become the focus of attention in the power industry. The intelligent patrol inspection system can realize real-time monitoring and fault warning of power equipment by integrating various sensors, wireless communication technologies, and intelligent analysis algorithms, effectively improving the accuracy and timeliness of patrol inspection work. However, most of the current intelligent patrol inspection systems on the market still have some deficiencies, such as low positioning accuracy, unreasonable path planning, single information display, limited data analysis capabilities, etc. These problems limit the application scope and effect of the intelligent patrol inspection system.
[0003] Specifically, the existing intelligent patrol inspection systems often adopt a single positioning technology (such as GPS), which is difficult to achieve ideal positioning accuracy in indoor environments. In addition, due to the lack of effective path planning strategies, patrol inspection personnel may face the situation of repeatedly patrolling certain areas while missing important equipment. In terms of information display, traditional systems can only provide simple data listing, which cannot meet the needs of patrol inspection personnel for a comprehensive understanding of the on-site environment. In terms of data analysis, most of the existing systems can only perform basic data statistics and threshold alarms, lacking in-depth fault prediction and diagnosis capabilities, and it is difficult to accurately evaluate the health status of equipment. Therefore, it is particularly urgent to develop an intelligent patrol inspection handheld terminal that integrates functions such as high-precision positioning, intelligent path planning, augmented reality information display, and multi-dimensional data analysis. Summary of the Invention
[0004] In view of the certain limitations of the existing intelligent patrol inspection handheld terminal technology in terms of positioning accuracy, path planning, information display, and data analysis, the present invention provides an intelligent patrol inspection system and method for power plants to achieve efficient and accurate patrol inspection of power plant equipment.
[0005] To achieve the above object, the present invention adopts the following technical solutions: An intelligent patrol inspection system for power plants includes a positioning and planning unit, an information display unit, a collection unit, an analysis and decision-making unit, and a management and reporting unit; A positioning and planning unit, which is used to locate the patrol personnel in real time and manage the location information of equipment. First, it conducts initial positioning, then continuously updates the location information, and transmits this information to the acquisition unit for data space marking. At the same time, it provides location data to other units to support subsequent operations; An acquisition unit, which is used to obtain various data of power plant equipment and add space markings based on the location information provided by the positioning and planning unit; The acquired data is transmitted in real time to the analysis and decision-making unit for processing, and is also sent to the information display unit for real-time display; An analysis and decision-making unit, which is used to receive the original data from the acquisition unit, and conduct in-depth analysis and decision support by combining the location information provided by the positioning and planning unit; The analysis results and decision-making suggestions are transmitted to the information display unit for visual display, and are also sent to the management report unit for task optimization and report generation; An information display unit, which is used to integrate the data and analysis results from the previous three units, and provide intuitive and real-time information support for patrol personnel through augmented reality technology and intelligent interfaces, displaying the location data of the positioning and planning unit, the real-time data of the acquisition unit, and the analysis results of the analysis and decision-making unit; At the same time, it also receives and displays the task information and reports from the management report unit; A management report unit, which is used to integrate the information from all other units, and conduct intelligent task allocation and report generation; Utilize the path information of the positioning and planning unit, the patrol data of the acquisition unit, and the analysis results of the analysis and decision-making unit to generate comprehensive reports and the next round of patrol tasks; These tasks and reports are presented to the patrol personnel through the information display unit, and are also fed back to other units for continuous optimization of the entire system.
[0006] A further improvement of the present invention is that the positioning and planning unit includes a multi-source fusion positioning module, a dynamic path optimization module, and a virtual checkpoint management module; The virtual checkpoint management module, based on the accurate location information provided by the multi-source fusion positioning module, combines the preset equipment location data to set virtual checkpoints at the locations of key equipment in the power plant; At the same time, the virtual checkpoint management module dynamically adjusts the distribution of virtual checkpoints according to the requirements of the patrol task and the changes in equipment status; The multi-source fusion positioning module is used to achieve high-precision indoor and outdoor positioning by combining GPS, WiFi, and Bluetooth beacon technologies; The dynamic path optimization module is used to dynamically adjust the patrol route based on the real-time equipment status and historical data.
[0007] A further improvement of the present invention is that the information display unit includes an AR device recognition module, a remote expert collaboration module, and an adaptive interface module; The AR device recognition module is used to automatically identify devices and overlay information through image recognition technology; The remote expert collaboration module is used to support real-time video calls and AR annotation; The adaptive interface module is used to automatically adjust the display content according to the user role and scenario.
[0008] A further improvement of the present invention is that the acquisition unit includes an intelligent instrument reading recognition module, a multi-dimensional environment perception module, and an abnormal situation recording module; The intelligent instrument reading recognition module is used to automatically identify and record various instrument readings; the multi-dimensional environment perception module is used to collect environmental data such as temperature, humidity, and gas concentration; the abnormal situation recording module is used to support the recording of abnormalities in various forms such as images, videos, and audios.
[0009] A further improvement of the present invention is that the analysis and decision-making unit includes a device health assessment module, a predictive maintenance recommendation module, and an emergency decision-making support module; The device health assessment module is used to evaluate the device status in real time based on multi-source data; the predictive maintenance recommendation module is used to predict potential failures using machine learning algorithms and give maintenance recommendations; the emergency decision-making support module is used to provide quick decision-making suggestions in case of emergencies.
[0010] A further improvement of the present invention is that the management report unit includes an intelligent task allocation module, an automatic report generation module, and a knowledge base update module; The intelligent task allocation module is used to automatically allocate inspection tasks according to the expertise of personnel and the condition of equipment; the automatic report generation module is used to integrate inspection data and automatically generate a structured report; the knowledge base update module is used to automatically integrate new inspection experiences into the system knowledge base.
[0011] A smart inspection method for a power plant, which is based on the smart inspection system for a power plant described above, includes: The positioning and planning unit real-time locates the positions of the inspection personnel and manages the equipment position information. First, it performs initial positioning, then continuously updates the position information, and transmits this information to the acquisition unit for data space marking, and at the same time provides position data to other units to support subsequent operations; Based on the position information provided by the positioning and planning unit, the acquisition unit obtains various data of the power plant equipment and adds space markings; the acquired data is transmitted in real time to the analysis and decision-making unit for processing, and at the same time is also sent to the information display unit for real-time display; The analysis and decision-making unit receives the original data from the acquisition unit, and combines the position information provided by the positioning and planning unit for in-depth analysis and decision-making support; the analysis results and decision-making suggestions are transmitted to the information display unit for visual display, and at the same time are also sent to the management report unit for task optimization and report generation; The information display unit integrates the data and analysis results from the first three units, and through augmented reality technology and intelligent interfaces, provides intuitive and real-time information support for the inspection personnel, displaying the location data of the location planning unit, the real-time data of the acquisition unit, and the analysis results of the analysis and decision-making unit; at the same time, it also receives and displays the task information and reports from the management report unit. The management report unit integrates the information from all other units to perform intelligent task allocation and report generation; using the path information of the location planning unit, the inspection data of the acquisition unit, and the analysis results of the analysis and decision-making unit, it generates comprehensive reports and the next round of inspection tasks; these tasks and reports are presented to the inspection personnel through the information display unit, and at the same time, they are also fed back to other units for continuous optimization of the entire system.
[0012] A further improvement of the present invention lies in that the location planning unit includes a multi-source fusion positioning module, a dynamic path optimization module, and a virtual checkpoint management module. Based on the accurate location information provided by the multi-source fusion positioning module, the virtual checkpoint management module combines the preset device location data to set virtual checkpoints at the positions of key equipment in the power plant; at the same time, the virtual checkpoint management module dynamically adjusts the distribution of virtual checkpoints according to the requirements of inspection tasks and changes in equipment status; the multi-source fusion positioning module combines GPS, WiFi, and Bluetooth beacon technologies to achieve high-precision indoor and outdoor positioning; the dynamic path optimization module dynamically adjusts the inspection route based on real-time equipment status and historical data.
[0013] A computer device includes a memory and a processor. The memory stores a computer program, and when the processor executes the computer program, it implements the steps of a smart inspection method for a power plant.
[0014] A computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, it implements the steps of a smart inspection method for a power plant.
[0015] Compared with the prior art, the present invention has at least the following beneficial technical effects: The smart inspection system and method for a power plant provided by the present invention significantly improve indoor and outdoor positioning accuracy through multi-source fusion positioning technology, the dynamic path optimization algorithm improves inspection efficiency and comprehensiveness, the AR augmented reality technology enhances the intuitiveness and interactivity of on-site information, and multi-dimensional data analysis and intelligent decision support greatly improve the ability of fault prediction and emergency response. The application of these technologies not only reduces labor costs but also significantly improves the quality and safety of inspection work, providing strong support for the intelligent operation and maintenance of power enterprises. BRIEF DESCRIPTION OF THE DRAWINGS
[0016] Figure 1The structural block diagram of the intelligent inspection system for power plants provided by an embodiment of the present invention.
[0017] Figure 2 The computer equipment diagram of the intelligent inspection system for power plants of the present invention. Detailed implementation manners
[0018] In the following, only some exemplary embodiments are simply described. As those skilled in the art can recognize, the described embodiments can be modified in various different ways without departing from the spirit or scope of the present invention. Therefore, the drawings and descriptions are regarded as exemplary rather than restrictive in nature.
[0019] It should be understood that when used in this specification and the appended claims, the terms "comprises" and "comprising" indicate the presence of the described features, wholes, steps, operations, elements, and / or components, but do not preclude the presence or addition of one or more other features, wholes, steps, operations, elements, components, and / or their combinations.
[0020] It should also be understood that the terms used in the specification of the present invention are merely for the purpose of describing specific embodiments and are not intended to limit the present invention. As used in the specification of the present invention and the appended claims, unless the context clearly indicates otherwise, the singular forms "a", "an", and "the" are intended to include the plural forms.
[0021] It should be further understood that the term " / and" as used in the specification of the present invention and the appended claims refers to any combination and all possible combinations of one or more of the associated listed items, and includes these combinations.
[0022] Various structural schematic diagrams according to the disclosed embodiments of the present invention are shown in the drawings. These figures are not drawn to scale, where for the purpose of clear expression, some details are enlarged and some details may be omitted. The shapes of various regions and layers shown in the figures and their relative sizes and positional relationships are merely exemplary, and may actually deviate due to manufacturing tolerances or technical limitations, and those skilled in the art can design regions / layers with different shapes, sizes, and relative positions according to actual needs.
[0023] The embodiments of the present invention will be described in detail below with reference to the drawings.
[0024] Embodiment 1 Refer to Figure 1 , an embodiment of the present invention, provides an intelligent inspection system for power plants, including a positioning and planning unit, an information display unit, a collection unit, an analysis and decision-making unit, and a management and reporting unit.
[0025] A positioning and planning unit, which is used to locate the inspection personnel in real time and manage the location information of equipment. First, it performs initial positioning, then continuously updates the location information, and transmits this information to the acquisition unit for data space marking. At the same time, it provides location data to other units to support subsequent operations; An acquisition unit, which is used to obtain various data of power plant equipment and add space markings based on the location information provided by the positioning and planning unit; The acquired data is transmitted in real time to the analysis and decision-making unit for processing, and is also sent to the information display unit for real-time display; An analysis and decision-making unit, which is used to receive the original data from the acquisition unit and conduct in-depth analysis and decision support by combining the location information provided by the positioning and planning unit; The analysis results and decision-making suggestions are transmitted to the information display unit for visual display, and are also sent to the management report unit for task optimization and report generation; An information display unit, which is used to integrate the data and analysis results from the previous three units, and provide intuitive and real-time information support for inspection personnel through augmented reality technology and intelligent interfaces, displaying the location data of the positioning and planning unit, the real-time data of the acquisition unit, and the analysis results of the analysis and decision-making unit; At the same time, it also receives and displays the task information and reports from the management report unit; A management report unit, which is used to integrate the information from all other units, perform intelligent task allocation and report generation; Utilize the path information of the positioning and planning unit, the inspection data of the acquisition unit, and the analysis results of the analysis and decision-making unit to generate comprehensive reports and the next round of inspection tasks; These tasks and reports are presented to inspection personnel through the information display unit, and are also fed back to other units for continuous optimization of the entire system.
[0026] Among them, the positioning and planning unit includes a multi-source fusion positioning module, a dynamic path optimization module, and a virtual checkpoint management module; The multi-source fusion positioning module is used to achieve high-precision indoor and outdoor positioning by combining multiple technologies such as GPS, WiFi, and Bluetooth beacons; The multi-source fusion positioning module includes a multi-source fusion sub-module, a map optimization module, and an intelligent filtering module; The dynamic path optimization module is used to dynamically adjust the inspection route based on real-time equipment status and historical data; The virtual checkpoint management module is used to create, manage, and optimize the dynamic reference point system to achieve intelligent inspection reminders and guidance.
[0027] It should be noted that 1. The multi-source fusion positioning module integrates GPS, WiFi signal strength, Bluetooth beacon signal strength, and accelerometer data, and uses the Kalman filter algorithm to achieve data fusion and improve positioning accuracy.
[0028] The multi-source fusion sub-module collects the location coordinates from the GPS receiver, the MAC address and signal strength of the WiFi access point, the ID and signal strength of the Bluetooth beacon, and the three-dimensional acceleration data of the accelerometer.
[0029] The map optimization module corrects the outdoor positioning data provided by GPS through triangulation and fingerprint matching techniques based on the known internal map of the power plant and equipment layout information.
[0030] The intelligent filtering module combines GPS coordinates with WiFi / Bluetooth signal strength data using the Kalman filtering algorithm and outputs the corrected position coordinates (x, y), where x represents longitude and y represents latitude.
[0031] The dynamic path optimization module calculates the shortest and most efficient inspection path based on the Dijkstra algorithm, combined with real-time equipment status and historical fault data.
[0032] The virtual checkpoint management module automatically sets virtual checkpoints at key locations by analyzing the importance and risk level of equipment, and dynamically adjusts the density of checkpoints according to the real-time equipment status.
[0033] During the inspection process, when the inspector approaches a certain virtual checkpoint, the terminal triggers the reminder function to prompt the inspector to perform the corresponding inspection actions.
[0034] According to the status changes of the equipment and the feedback information of the inspector, the dynamic path optimization module adjusts the path in real time to avoid ineffective inspections and ensure that key equipment is inspected.
[0035] When the inspection task is completed, the virtual checkpoint management module updates the risk assessment model of the equipment based on the data of this inspection, providing a better reference point configuration for the next inspection.
[0036] The entire positioning and planning unit continuously optimizes the positioning accuracy and path planning through a closed-loop feedback mechanism to adapt to the changes in the power plant environment and improve the inspection efficiency and accuracy.
[0037] The information display unit includes an AR device recognition module, a remote expert collaboration module, and an adaptive interface module; the AR device recognition module is used to automatically identify devices and overlay information through image recognition technology; the remote expert collaboration module is used to support real-time video calls and AR annotations; the adaptive interface module is used to automatically adjust the display content according to the user role and scenario.
[0038] It should be noted that 1. The AR device recognition module uses the convolutional neural network (CNN) algorithm of deep learning to perform real-time processing on the images captured by the camera and extract the key features of the devices.
[0039] The convolutional layer in the CNN algorithm is used to extract features from the image, the pooling layer reduces the computational amount, and the fully connected layer performs classification, outputting the device type and location information (x, y, z), where (x, y, z) represent the spatial coordinates of the device respectively.
[0040] The AR device recognition module further superimposes the device status information and operation guides on the camera view, providing intuitive visual guidance for the inspection personnel through augmented reality technology.
[0041] The remote expert collaboration module establishes a high-definition video call connection, compresses the video stream using the H.265 encoding standard, and ensures high-quality video transmission under low-bandwidth conditions.
[0042] During the video call, the remote expert can directly draw graphics and text annotations on the video screen through the AR annotation tool to assist the on-site personnel in fault diagnosis.
[0043] The adaptive interface module dynamically adjusts the function buttons and information hierarchy displayed on the interface according to the user's authentication information and the context of the current inspection task.
[0044] Using the permission settings in the user role database and the inspection task information in the task database, the adaptive interface module adjusts the displayed content in real time to ensure a simple and information-rich interface.
[0045] By analyzing the device health indicators through the status monitoring algorithm, the adaptive interface module highlights the relevant information of abnormal devices, guiding the inspection personnel to prioritize potential problems.
[0046] During the inspection process, the adaptive interface module automatically updates the displayed content according to the device status changes and task progress, maintaining the freshness and relevance of the information.
[0047] Through the collaborative work among the above modules, the information display unit provides an integrated information platform for the inspection personnel, supporting the implementation of an efficient inspection process.
[0048] The acquisition unit includes an intelligent instrument reading recognition module, a multi-dimensional environment perception module, and an abnormal situation recording module; the intelligent instrument reading recognition module is used to automatically identify and record various instrument readings; the multi-dimensional environment perception module is used to collect environmental data such as temperature, humidity, and gas concentration; the abnormal situation recording module is used to support the recording of abnormalities in various forms such as images, videos, and audios.
[0049] The analysis and decision-making unit includes a device health assessment module, a predictive maintenance recommendation module, and an emergency decision support module; the device health assessment module is used to evaluate the device status in real time based on multi-source data; the predictive maintenance recommendation module is used to predict potential faults using machine learning algorithms and give maintenance recommendations; the emergency decision support module is used to provide rapid decision-making suggestions in case of emergencies.
[0050] The management report unit includes an intelligent task assignment module, an automatic report generation module, and a knowledge base update module; the intelligent task assignment module is used to automatically assign inspection tasks according to personnel expertise and device conditions; the automatic report generation module is used to integrate inspection data and automatically generate a structured report; the knowledge base update module is used to automatically integrate new inspection experiences into the system knowledge base.
[0051] In summary, the present invention significantly improves indoor and outdoor positioning accuracy through multi-source fusion positioning technology, the dynamic path optimization algorithm improves the inspection efficiency and comprehensiveness, the AR augmented reality technology enhances the intuitiveness and interactivity of on-site information, and multi-dimensional data analysis and intelligent decision support greatly improve the ability of fault prediction and emergency response. The application of these technologies not only reduces labor costs, but also significantly improves the quality and safety of inspection work, providing strong support for the intelligent operation and maintenance of power enterprises.
[0052] Embodiment 2 A smart inspection method for a power plant provided by the present invention includes: The positioning and planning unit real-time locates the positions of inspection personnel and management equipment, first performs initial positioning, then continuously updates the position information, and transmits this information to the acquisition unit for data spatial marking, and at the same time provides position data to other units to support subsequent operations; The acquisition unit, based on the position information provided by the positioning and planning unit, acquires various data of power plant equipment and adds spatial markings; the acquired data is transmitted in real time to the analysis and decision-making unit for processing, and is also sent to the information display unit for real-time display; The analysis and decision-making unit receives the original data from the acquisition unit, and performs in-depth analysis and decision support in combination with the position information provided by the positioning and planning unit; the analysis results and decision-making suggestions are transmitted to the information display unit for visual display, and are also sent to the management report unit for task optimization and report generation; The information display unit integrates the data and analysis results from the previous three units, and through augmented reality technology and an intelligent interface, provides intuitive and real-time information support for inspection personnel, displays the position data of the positioning and planning unit, the real-time data of the acquisition unit, and the analysis results of the analysis and decision-making unit; at the same time, it also receives and displays the task information and reports from the management report unit. The management reporting unit integrates information from all other units, performs intelligent task allocation and report generation; uses the path information of the positioning and planning unit, the inspection data of the acquisition unit, and the analysis results of the analysis and decision-making unit to generate comprehensive reports and the next round of inspection tasks; these tasks and reports are presented to the inspection personnel through the information display unit, and at the same time are also fed back to other units for continuous optimization of the entire system.
[0053] Embodiment 3 Refer to Figure 2 , which is an embodiment of the present invention. What is different from the previous embodiment is that: If the above-mentioned functions are implemented in the form of software function units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on such an understanding, the technical solution of the present invention, in essence, or the part that makes contributions to the prior art, or a part of this technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions for causing a computer device to execute all or part of the steps of the methods described in the various embodiments of the present invention. The aforementioned storage medium includes: USB flash drives, mobile hard disks, read-only memories, random access memories, magnetic disks, or optical discs, etc., which can store program codes.
[0054] The logic and / or steps represented in the flowchart or described in other ways herein, for example, can be considered as a sequenced list of executable instructions for implementing logical functions, and can be specifically implemented in any computer-readable medium for use by or in connection with an instruction execution system, apparatus, or device. For the purposes of this specification, a "computer-readable medium" can be any device that can contain, store, communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device.
[0055] More specific examples of computer-readable media include the following: an electrical connection portion having one or more wirings, a portable computer disk cartridge, a random access memory, a read-only memory, an erasable programmable read-only memory, an optical fiber device, and a portable compact disc read-only memory. Additionally, the computer-readable medium can even be paper or other suitable media on which the program can be printed, because the program can be obtained electronically, for example, by optically scanning the paper or other media, then editing, interpreting, or otherwise processing it as appropriate, and then storing it in a computer memory.
[0056] It should be understood that each part of the present invention can be implemented by hardware, software, firmware, or a combination thereof. In the above embodiments, multiple steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, any one or a combination of the following techniques well known in the art can be used: discrete logic circuits having logic gate circuits for implementing logical functions on data signals, application specific integrated circuits having appropriate combinational logic gate circuits, programmable gate arrays, field programmable gate arrays, and the like.
[0057] Example 4 An embodiment of the present invention provides an intelligent inspection system for power plants. In order to verify the beneficial effects of the present invention, scientific demonstration is carried out through economic benefit calculation and simulation experiments.
[0058] Experimental design: 1. Performance test of the AR device recognition module: Accuracy and Response Time.
[0059] 2. Performance test of the remote expert collaboration module: Video Stream Latency and AR Annotation Precision 3. Performance test of the adaptive interface module: UI Response Time and Information Update Frequency Data table: Table 1: Performance comparison of the AR device recognition module
[0060] Table 2: Performance comparison of the remote expert collaboration module
[0061] Table 3: Performance comparison of the adaptive interface module
[0062] Based on the data in the above three tables, it can be clearly seen that the new solution has made significant improvements in various key performance indicators compared to the existing technical solution. In the performance test of the AR device recognition module, the accuracy rate of the new solution has increased from 85% to 95%, and the response time has been shortened from 2.5 seconds to 1.2 seconds. This means that the new solution can identify devices more quickly and accurately, greatly improving the efficiency and accuracy during the inspection process. For the remote expert collaboration module, the new solution has significantly reduced the video stream latency, from 250 milliseconds to 100 milliseconds, and increased the AR annotation accuracy from 90% to 98%. This indicates that the new solution can provide a smoother remote collaboration experience, enabling experts to more precisely guide on-site operations. In terms of the adaptive interface module, the user interface response time of the new solution has been shortened from 1.5 seconds to 0.5 seconds, and the information update frequency has increased from every 3 minutes to every 1 minute. This allows users to obtain the latest information more quickly, thus making more timely decisions. Overall, these data fully demonstrate the significant advantages of the new solution in improving work efficiency, optimizing the user experience, and enhancing the remote collaboration ability, etc.
[0063] The above has shown and described the basic principles, main features, and advantages of the present invention. For those skilled in the art, it is obvious that the present invention is not limited to the details of the above exemplary embodiments, and without departing from the spirit or basic features of the present invention, the present invention can be implemented in other specific forms. Therefore, from any perspective, the embodiments should be regarded as exemplary and non-limiting. The scope of the present invention is defined by the appended claims rather than the above description. Therefore, it is intended to include all changes falling within the meaning and scope of the equivalent elements of the claims in the present invention. Any reference signs in the claims should not be regarded as limiting the claims involved.
[0064] In addition, it should be understood that although this specification is described according to embodiments, not every embodiment only contains an independent technical solution. This narrative way of the specification is only for clarity. Those skilled in the art should regard the specification as a whole, and the technical solutions in each embodiment can also be appropriately combined to form other embodiments that can be understood by those skilled in the art. The above content is only to illustrate the technical idea of the present invention and cannot be used to limit the protection scope of the present invention. Any modification made on the basis of the technical solution according to the technical idea proposed by the present invention falls within the protection scope of the claims of the present invention.
Claims
1. A smart inspection system for a power plant, characterized in that: It includes positioning planning unit, information display unit, collection unit, analysis and decision-making unit, and management reporting unit; The positioning planning unit is used to locate the inspection personnel and manage the location information of the equipment in real time. It first performs initial positioning, then continuously updates the location information and transmits this information to the collection unit for data space marking. It also provides location data to other units to support subsequent operations. The acquisition unit is used to acquire various data of the power plant equipment and add spatial tags based on the location information provided by the positioning planning unit; the acquired data is transmitted to the analysis and decision-making unit in real time for processing, and is also sent to the information display unit for real-time display; An analysis and decision-making unit is used to receive the raw data from the acquisition unit and perform in-depth analysis and decision support in combination with the location information provided by the positioning planning unit; the analysis results and decision suggestions are transmitted to the information display unit for visual display, and are also sent to the management reporting unit for task optimization and report generation; The information display unit is used to integrate the data and analysis results from the first three units. Through augmented reality technology and intelligent interface, it provides intuitive and real-time information support for inspection personnel, displays the location data of the positioning planning unit, the real-time data of the collection unit, and the analysis results of the analysis and decision-making unit; it also receives and displays the task information and reports from the management reporting unit; Management reporting unit, which integrates information from all other units for intelligent task allocation and report generation; The path information of the positioning planning unit, the inspection data of the collection unit, and the analysis results of the analysis and decision-making unit are used to generate a comprehensive report and the next round of inspection tasks; these tasks and reports are presented to the inspection personnel through the information display unit, and are also fed back to other units for continuous optimization of the entire system.
2. According to claim 1, a smart inspection system for a power plant is characterized in that: The positioning planning unit includes a multi-source fusion positioning module, a dynamic path optimization module and a virtual checkpoint management module; The virtual checkpoint management module sets virtual checkpoints at the locations of key equipment in the power plant based on the precise location information provided by the multi-source fusion positioning module and the preset equipment location data; at the same time, the virtual checkpoint management module dynamically adjusts the distribution of virtual checkpoints according to the requirements of the inspection tasks and the changes in the equipment status; The multi-source fusion positioning module is used to combine GPS, WiFi and Bluetooth beacon technology to achieve high-precision indoor and outdoor positioning; The dynamic path optimization module is used to dynamically adjust the inspection route based on real-time equipment status and historical data.
3. The intelligent inspection system for a power plant according to claim 1 is characterized in that: The information display unit includes an AR device recognition module, a remote expert collaboration module and an adaptive interface module; The AR device recognition module is used to automatically recognize the device and overlay information through image recognition technology; The remote expert collaboration module is used to support real-time video calls and AR annotations; The adaptive interface module is used to automatically adjust the display content according to the user role and scene.
4. The intelligent inspection system for power plants according to claim 1 is characterized in that: The acquisition unit includes an intelligent meter reading recognition module, a multi-dimensional environment perception module and an abnormal situation recording module; The intelligent instrument reading recognition module is used to automatically identify and record various instrument readings; the multi-dimensional environment perception module is used to collect temperature, humidity and gas concentration environmental data; the abnormal situation recording module is used to support recording abnormalities in multiple forms such as images, videos and audio.
5. The intelligent inspection system for power plants according to claim 1 is characterized in that: The analysis and decision-making unit includes an equipment health assessment module, a predictive maintenance suggestion module and an emergency decision support module; The equipment health assessment module is used to evaluate the equipment status in real time based on multi-source data; the predictive maintenance recommendation module is used to predict potential failures and give maintenance recommendations using machine learning algorithms; and the emergency decision support module is used to provide quick decision recommendations in emergency situations.
6. The intelligent inspection system for power plants according to claim 1 is characterized in that: The management reporting unit includes an intelligent task allocation module, an automatic report generation module and a knowledge base update module; The intelligent task assignment module is used to automatically assign inspection tasks according to personnel expertise and equipment status; the automatic report generation module is used to integrate inspection data to automatically generate structured reports; and the knowledge base update module is used to automatically integrate new inspection experience into the system knowledge base.
7. A smart inspection method for a power plant, characterized in that: The method is based on a smart inspection system for a power plant according to any one of claims 1 to 6, comprising: The positioning planning unit locates the inspection personnel and manages the location information of the equipment in real time. It first performs initial positioning, then continuously updates the location information, and transmits this information to the collection unit for data space marking. It also provides location data to other units to support subsequent operations. The acquisition unit acquires various data of the power plant equipment and adds spatial tags based on the location information provided by the positioning planning unit; the acquired data is transmitted to the analysis and decision-making unit for processing in real time, and is also sent to the information display unit for real-time display; The analysis and decision-making unit receives the raw data from the acquisition unit and performs in-depth analysis and decision support in combination with the location information provided by the positioning planning unit; the analysis results and decision suggestions are transmitted to the information display unit for visual display, and are also sent to the management reporting unit for task optimization and report generation; The information display unit integrates the data and analysis results from the first three units, and provides intuitive and real-time information support to the inspection personnel through augmented reality technology and intelligent interface, showing the location data of the positioning planning unit, the real-time data of the collection unit, and the analysis results of the analysis and decision-making unit; it also receives and displays the task information and reports from the management reporting unit; The management reporting unit integrates information from all other units to perform intelligent task allocation and report generation. It uses the path information from the positioning planning unit, the inspection data from the collection unit, and the analysis results from the analysis and decision-making unit to generate comprehensive reports and the next round of inspection tasks. These tasks and reports are presented to inspection personnel through the information display unit and are also fed back to other units for continuous optimization of the entire system.
8. A smart inspection method for a power plant according to claim 7, characterized in that: The positioning planning unit includes a multi-source fusion positioning module, a dynamic path optimization module and a virtual checkpoint management module; The virtual checkpoint management module sets up virtual checkpoints at the locations of key equipment in the power plant based on the precise location information provided by the multi-source fusion positioning module and combined with preset equipment location data; at the same time, the virtual checkpoint management module dynamically adjusts the distribution of virtual checkpoints according to the requirements of the inspection tasks and changes in equipment status; the multi-source fusion positioning module combines GPS, WiFi, and Bluetooth beacon technology to achieve high-precision indoor and outdoor positioning; the dynamic path optimization module dynamically adjusts the inspection route based on real-time equipment status and historical data.
9. 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 intelligent inspection method for a power plant as described in claim 7 or 8 are implemented.
10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by the processor, the steps of the intelligent inspection method for a power plant as described in claim 7 or 8 are implemented.
Citation Information
Cited By
Inspection route planning method and system for hydrogen energy unmanned aerial vehicle
CN121048632A