Power station inspection arrangement method and system based on virtual reality technology

Abstract

The invention discloses a power station inspection arrangement method and system based on a virtual reality technology, and the method comprises the steps: displaying a virtual reality scene of a target power station according to an inspection mode selected by a user, so as to present the internal environment of the power station through the virtual reality scene; calculating a state health index of the target power station according to the monitoring data of each device in the target power station, displaying the state health index in a virtual reality scene, and updating the state health index in real time; under the condition that the inspection mode is automatic inspection, the inspection priority of each device is calculated, a virtual reality inspection task is automatically executed according to the inspection priority, and when each inspection point is reached, the monitoring data and the inspection priority of the device at the inspection point are displayed in real time. According to the embodiment of the invention, the monitoring data of each device can be displayed in real time in the virtual environment, and the intelligent level and the inspection efficiency of power station inspection are greatly improved.

Description

Technical Field

[0001] The invention belongs to the field of virtual reality technology, and in particular to a method and system for arranging power station inspections based on virtual reality technology. Background Art

[0002] As modern power systems become increasingly complex, the safety and reliability of power plants have become important factors in ensuring power supply. Traditional power plant inspection methods mainly rely on manual inspections. Although this method can detect problems in a timely manner, it also has a series of shortcomings. For example, the efficiency of manual inspections is limited by the experience and skills of inspectors, and the inspection frequency and scope often cannot meet the needs of real-time monitoring. In addition, the spatial layout of equipment rooms is complex, and inspectors may overlook certain important detection points during the inspection process, resulting in the omission of potential faults, thereby increasing the risk of equipment failure and maintenance costs. Summary of the invention

[0003] The purpose of the present invention is to provide a power plant inspection arrangement method and system based on virtual reality technology to solve the deficiencies in the prior art, which can display the monitoring data of each device in real time in a virtual environment, greatly improving the intelligence level and inspection efficiency of power plant inspections.

[0004] An embodiment of the present application provides a method for arranging power plant inspections based on virtual reality technology, the method comprising: According to the inspection mode selected by the user, a virtual reality scene of the target power station is displayed to present the internal environment of the power station through a virtual reality scene; Calculate the health index of the target power station based on the monitoring data of each device in the target power station, display the health index in the virtual reality scene, and update it in real time; When the inspection mode is automatic inspection, the inspection priority of each device is calculated, and the virtual reality inspection task is automatically executed according to the inspection priority. When each inspection point is reached, the monitoring data and inspection priority of the device at the inspection point are displayed in real time.

[0005] Optionally, the method further includes: When the inspection mode is manual inspection, the inspection priority of each device is calculated and displayed in the virtual reality scene. According to the user's click operation on the direction arrow in the virtual reality scene, it moves to the corresponding target inspection point and displays the monitoring data and inspection priority of the device at the inspection point.

[0006] Optionally, the calculation formula of the status health index is:

[0007] Among them, the is the health index, is the weight of the i-th device, is the probability distribution of the i-th device in the j-th device state, is the kth performance indicator of the i-th device, is the result of fuzzy logic evaluation on the kth index. is the weight of the kth performance indicator, is the number of performance indicators, p is the adjustment coefficient, n is the total number of devices, and m is the number of status types.

[0008] Optionally, the calculation formula of the inspection priority is:

[0009] Among them, the is the inspection priority of the i-th device, is the failure frequency score of the i-th device, is the fault severity score of the i-th device, Score the fault impact range of the i-th device.

[0010] Another embodiment of the present application provides a power plant inspection arrangement system based on virtual reality technology, the system comprising: A display module, used to display a virtual reality scene of a target power station according to an inspection mode selected by a user, so as to present the internal environment of the power station through a virtual reality scene; A calculation module, used to calculate the state health index of the target power station according to the monitoring data of each device in the target power station, display the state health index in the virtual reality scene, and update it in real time; The inspection module is used to calculate the inspection priority of each device when the inspection mode is automatic inspection, and automatically execute the virtual reality inspection task according to the inspection priority. When arriving at each inspection point, the monitoring data and inspection priority of the device at the inspection point are displayed in real time.

[0011] Yet another embodiment of the present application provides a storage medium, wherein the storage medium stores a computer program, wherein the computer program is configured to execute any of the above methods when running.

[0012] Yet another embodiment of the present application provides an electronic device, including a memory and a processor, wherein the memory stores a computer program, and the processor is configured to run the computer program to execute any of the methods described above.

[0013] Compared with the prior art, the present invention provides a power plant inspection arrangement method based on virtual reality technology. According to the inspection mode selected by the user, the virtual reality scene of the target power plant is displayed to present the internal environment of the power plant through the virtual reality scene; according to the monitoring data of each device in the target power plant, the state health index of the target power plant is calculated, and the state health index is displayed in the virtual reality scene and updated in real time; when the inspection mode is automatic inspection, the inspection priority of each device is calculated, and according to the inspection priority, the virtual reality inspection task is automatically executed, wherein, when arriving at each inspection point, the monitoring data and inspection priority of the equipment at the inspection point are immediately displayed, so that the monitoring data of each device can be displayed in real time in the virtual environment, greatly improving the intelligence level and inspection efficiency of the power plant inspection. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] Figure 1 A hardware structure block diagram of a computer terminal for a power station inspection arrangement method based on virtual reality technology provided by an embodiment of the present invention; Figure 2 A flowchart of a method for arranging power plant inspections based on virtual reality technology provided by an embodiment of the present invention; Figure 3 A schematic structural diagram of a power plant inspection arrangement system based on virtual reality technology provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0015] The embodiments described below with reference to the accompanying drawings are exemplary and are only used to explain the present invention, but should not be construed as limiting the present invention.

[0016] The embodiment of the present invention firstly provides a method for arranging power station inspection based on virtual reality technology. The method can be applied to electronic devices such as computer terminals, specifically ordinary computers, etc.

[0017] The following describes it in detail by taking running on a computer terminal as an example. Figure 1 The hardware structure block diagram of a computer terminal of a power station inspection arrangement method based on virtual reality technology provided by an embodiment of the present invention. Figure 1 As shown, the computer terminal may include one or more ( Figure 1 Only one is shown in the figure) a processor 102 (the processor 102 may include but is not limited to a processing device such as a microprocessor MCU or a programmable logic device FPGA) and a memory 104 for storing data. Optionally, the computer terminal may also include a transmission device 106 for communication functions and an input and output device 108. It can be understood by those skilled in the art that Figure 1 The structure shown is only for illustration and does not limit the structure of the above-mentioned computer terminal. Figure 1 More or fewer components as shown, or with Figure 1 Different configurations are shown.

[0018] The memory 104 can be used to store software programs and modules of application software, such as the program instructions / modules corresponding to the power station inspection arrangement method based on virtual reality technology in the embodiment of the present application. The processor 102 executes various functional applications and data processing by running the software programs and modules stored in the memory 104, that is, to implement the above method. The memory 104 may include a high-speed random access memory, and may also include a non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some instances, the memory 104 may further include a memory remotely arranged relative to the processor 102, and these remote memories may be connected to the computer terminal via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0019] The transmission device 106 is used to receive or send data via a network. The specific example of the above network may include a wireless network provided by a communication provider of a computer terminal. In one example, the transmission device 106 includes a network adapter (Network Interface Controller, NIC), which can be connected to other network devices through a base station so as to communicate with the Internet. In one example, the transmission device 106 can be a radio frequency (RF) module, which is used to communicate with the Internet wirelessly.

[0020] See also Figure 2 The embodiment of the present invention provides a method for arranging power station inspection based on virtual reality technology, which may include the following steps: S201, displaying a virtual reality scene of a target power station according to an inspection mode selected by a user, so as to present an internal environment of the power station through the virtual reality scene; The core of this step is that the user selects different inspection modes (such as automatic inspection or manual inspection) according to actual needs, and the system generates and displays the corresponding virtual reality scene based on the selection. The realization of this process requires not only high-precision modeling of the internal environment of the power station, but also the construction of a corresponding virtual reality platform so that users can experience the layout and status of the power station equipment in an immersive way. Function and significance: By presenting the internal environment of the power station in the form of virtual reality, users can more intuitively understand the distribution of equipment and its operating status. This intuitiveness greatly improves the efficiency of inspections, especially in complex environments, it can effectively help users identify the relationship between various devices and potential problems. At the same time, virtual reality technology makes it easier for non-professionals to understand the status of equipment, providing a good tool for training new employees. One implementation method may include: Step 1: Modeling the internal environment of the power station Use 3D modeling software (such as Blender, 3ds Max, etc.) to model the internal environment of the power station. Ensure that the model is highly realistic and reflects the various equipment in the power station and its parameters (such as volume, location, connection method, etc.).

[0021] Step 2: Data integration and real-time monitoring interface Establish a data interface to integrate the real-time monitoring data of each power plant equipment (such as temperature, pressure, current, etc.) into the virtual reality environment. Sensor network technology can be used to push data to the virtual reality system in real time through the Internet of Things (IoT).

[0022] Step 3: User interface design Design a user-friendly user interface to facilitate users to select inspection modes. Users can select automatic inspection or manual inspection mode through the web page or the controller of the VR device. The system needs to respond quickly and load the corresponding scene after selection.

[0023] Step 4: VR environment loading After the user selects the inspection mode, the system calls the pre-established VR scene to present the power plant model. This process can be achieved using VR development tools (such as Unity, Unreal Engine, etc.) to ensure smooth scene loading and good visual effects. Step 5: Interaction function design provides users with an interactive interface. In a virtual reality scene, users can interact with devices in the scene through gestures, controller clicks, or voice commands. For example, a user can click on a device, and the system will display the monitoring data and status information of the device in real time.

[0024] Step 6: Algorithm processing and scene update The system needs to implement dynamic scene update function. When the user is inspecting, once a new inspection point is selected, the system should automatically update the data in the scene to ensure that the latest device status information is displayed. At this time, the monitoring data of the device will be updated through the real-time data interface and the scene will be re-rendered.

[0025] Step 7: Status Visualization In the VR scene, color-code the devices in different states (for example, green for normal state, yellow for warning state, and red for fault state) so that users can identify the health status of the device at a glance.

[0026] Step 8: Feedback Mechanism Establish a user feedback mechanism to collect user operation data and usage experience in the virtual reality environment to optimize subsequent scene design and algorithm processing. This can be achieved by analyzing data such as the user's stay time in the scene and click frequency. Through the above complex implementation steps, it is ensured that after selecting the inspection mode, the user can obtain a clear view of the internal environment of the power station through the virtual reality scene, so as to better carry out subsequent inspection work. This integrated technical implementation method not only improves the intuitiveness and safety of the inspection, but also provides sufficient data support for the maintenance and management of the power station.

[0027] S202, calculating a health index of the target power station based on monitoring data of each device in the target power station, displaying the health index in a virtual reality scene, and updating it in real time; In this step, by analyzing the monitoring data of each device in the power plant, a comprehensive health index (HI) is calculated to reflect the operating status of the entire power plant. This index not only shows the health status of each device, but also provides users with intuitive visualization and enhances situational awareness during inspections. This process requires the collection, organization and processing of real-time monitoring data of the equipment so that the calculation results can be embedded in the virtual reality scene to ensure that users can understand the overall health status of the power plant in real time. Role and significance: Real-time calculation and display of the health index helps inspectors quickly identify potential faults, take timely maintenance measures, and reduce the risk of equipment failure. This not only improves the safety and reliability of the power plant, but also reduces unnecessary maintenance costs. At the same time, the real-time updated health index provides decision-making support data for power plant managers, which helps to formulate long-term maintenance and operation strategies. One implementation method may include: Step 1: Real-time data collection - Establish a highly integrated monitoring system that uses sensors and data acquisition devices to collect real-time status data of each device in the power station (such as temperature, pressure, vibration, current, etc.). All devices need to have Internet of Things (IoT) connectivity to send monitoring data to a central server.

[0028] Step 2: Data Preprocessing - In the data center, the received raw monitoring data is preprocessed. This includes data cleaning (removing noise and outliers), data standardization (unifying the monitoring data of different devices to the same scale), and preparing for the subsequent health index calculation.

[0029] Step 3: Specific performance indicator selection - Determine the key performance indicators (KPIs) that affect the equipment health index, such as failure frequency, operating temperature, equipment wear, etc. Each performance indicator needs to be quantified to ensure its operability and comparability.

[0030] Step 4: Fuzzy Logic Evaluation - Apply fuzzy logic evaluation methods to each key performance indicator to evaluate the health status corresponding to the indicator. To this end, each KPI is mapped to a fuzzy set (such as normal, warning, danger), and a membership function is defined for each fuzzy set, which can be in the form of a Gaussian function or a triangular function.

[0031] Step 5: Calculate health index - A calculation formula for the health index can be:

[0032] In the inspection management of power plants, the calculation of the health index (HI) is the core link in evaluating the health status of equipment. By comprehensively considering the various operating parameters of each device, HI can provide a quantitative indicator for maintenance and management personnel to help them make more scientific decisions. This formula not only visualizes the health status of the equipment, but also reasonably arranges the priority according to the actual health status of the equipment during the inspection task, thereby improving the inspection efficiency and safety.

[0033] Among them, the The health index represents the overall health status of the power plant equipment. A higher health index usually means that the equipment is operating normally, while a lower index indicates that there may be a risk of failure or performance degradation. is the weight of the ith device, which is used to reflect the importance of different devices in the system. More critical devices (such as transformers, generators, etc.) should have higher weights, while less important devices (such as auxiliary equipment) can be assigned lower weights. The weights are usually set based on the role of the equipment in the operation of the power station and its impact on safety and performance. is the probability distribution of the ith device in the jth device state. The probability distribution is used to describe the performance of the device in different states. By analyzing historical data, the probability distribution of the device in various states (normal, warning, fault, etc.) can be obtained. This part is based on the analysis of the device's past fault records and operating data, and can quantify the stability and risk of the device in a specific state. is the kth performance indicator of the ith device. Performance indicators are specific parameters for evaluating the health status of the device, such as temperature, pressure, vibration, etc. These indicators directly reflect the actual operation of the device and usually need to be selected and defined in combination with the technical standards of the device. The result of fuzzy logic evaluation of the kth indicator. Fuzzy logic evaluation can convert continuous indicator numerical data into discrete health status classification through fuzzy conversion of performance indicators. The evaluation result can be a quantitative score of the status classification. This operation helps to deal with complex and nonlinear relationships, making the health evaluation results of the equipment more in line with the actual situation and suitable for the ambiguity of human judgment on complex things. is the weight of the kth performance indicator. The weight of the performance indicator is used to reflect the importance of each indicator in the health status assessment. Some indicators may have a greater impact on the health of the equipment, so they will be given a higher weight. When determining the specific importance of each indicator, expert consultation or historical data analysis can be used to quantify the importance of each indicator. is the number of performance indicators, and p is the adjustment coefficient, which is used to adjust the sensitivity of the overall formula. This parameter will be adjusted according to actual needs so that the weight balance on specific indicators can be achieved in different situations. n is the total number of devices, and m is the number of status types. Step 6: Health Index Display Integration - Convert the calculated health index into visual information. Set different color codes and icons for display in the virtual reality scene. The health index range can be divided into several levels and presented in the scene with graphics and text at the same time.

[0034] Step 7: Real-time update and feedback mechanism - Design a real-time data update mechanism. Whenever the monitoring system receives new data, it automatically triggers the recalculation of the health index and updates the health status displayed in the VR scene. This can be achieved by introducing a data stream processing platform (such as Apache Kafka) to ensure real-time data transmission and processing. Through the above implementation steps, the power plant monitoring system can efficiently calculate and update the health index in real time, providing patrol personnel with an accurate view of the operating status. This method not only improves the safety management level of the power plant, but also provides data-based decision support for equipment maintenance and upgrades, further improving the economy and reliability of power plant operation.

[0035] S203, when the inspection mode is automatic inspection, the inspection priority of each device is calculated, and the virtual reality inspection task is automatically executed according to the inspection priority, wherein when arriving at each inspection point, the monitoring data and inspection priority of the device at the inspection point are instantly displayed.

[0036] In the automatic inspection mode, in order to improve the efficiency and accuracy of the inspection, it is first necessary to calculate the inspection priority of each device. This process involves comparing the current status of each device with the established standards, and then evaluating the urgency and importance of its inspection. The priority is calculated based on multiple set parameters, which may include fault frequency, fault severity, and fault impact range. In this way, the system can intelligently and automatically perform inspection tasks to ensure that those devices with higher potential risks or poor conditions are inspected first. When the inspectors arrive at the location of each device, the system displays the monitoring data and inspection priority of the device in real time in the virtual reality scene, thereby providing important information for subsequent decision-making and maintenance. Function and significance: This automated inspection scheduling method can significantly improve the inspection efficiency and safety of power plants. The mechanism of automatically calculating inspection priorities allows inspectors to focus on the most critical equipment, reducing the risk of missed inspections and delayed maintenance. In addition, by displaying monitoring data and priority information in real time, inspectors can understand the actual health status of the equipment more quickly, so that they can take preventive measures before problems occur. This not only saves time, but also effectively reduces operating costs while improving the overall safety and reliability of the power plant. One implementation method may include: Step 1: Real-time data integration and monitoring - Install sensors and data acquisition devices in the power station to monitor the operating status of each device in real time. The data includes but is not limited to the temperature, pressure, vibration, power output, etc. of the equipment, and these data are sent to the central processing system in real time through the Internet of Things (IoT) technology.

[0037] Step 2: Parameter standardization and scoring system establishment - Set up a scoring system for each device and establish standardized parameters based on its operating data and fault history. The scoring criteria include equipment importance, fault frequency, fault impact and fault severity. Each parameter needs to be quantified to provide a basis for inspection priority in subsequent calculations.

[0038] Step 3: Dynamic calculation of fault frequency, severity and impact - Use historical data analysis tools to conduct in-depth analysis of the failure history of each device, use statistical models (such as Poisson distribution or normal distribution) to estimate the probability of future failures, and derive a failure frequency score . - Similarly, each device is assigned a fault severity score based on the impact of the fault on the device and the plant and Fault Impact Scoring , usually using expert experience and historical data to make judgments.

[0039] Step 4: Application of inspection priority calculation formula - A calculation formula for inspection priority can be:

[0040] The formula is designed to scientifically evaluate the inspection priority of power plant equipment to ensure that limited inspection resources are used most effectively. By comprehensively considering multiple key factors (fault frequency, fault severity, and fault impact range), the formula can quantify the importance of equipment in the inspection process, thereby giving priority to inspecting equipment with potential risks. This method not only improves the efficiency and pertinence of inspections, but also provides data support for power plant safety management, and promotes the timeliness of accident prevention and fault response.

[0041] Among them, the is the inspection priority of the ith device, which represents the inspection priority of the ith device in the current situation. The higher the priority, the more the device needs to be inspected first, and vice versa. The failure frequency score of the i-th device reflects the probability of a specific device failing. It is usually scored based on historical failure data, monitoring records, etc. A high failure frequency score indicates that the device has failed frequently in the past period of time, so it needs higher attention and timely inspection. is the fault severity score of the ith device. This parameter is used to evaluate the potential impact of the device failure, including the degree of impact on the operation of the entire power plant. The severity of the fault may be related to the function of the device, the degree of dependence on the system, etc. The higher the score, the greater the impact of the device failure on the power plant, and the inspection priority should be increased accordingly. The fault impact range score of the i-th device describes the possible impact of the device failure, including the degree of interference with other devices, system functions, or the overall operation of the power plant. A high impact range score indicates that when the device fails, it may cause a chain reaction to other system components, so it needs to be inspected first.

[0042] The inspection priority calculation formula can provide strong support for the inspection arrangement of power station equipment, which helps to improve the safety and operation efficiency of the power station. The effective use of this formula can not only optimize the allocation of inspection resources, but also provide a basis for the maintenance strategy of equipment to ensure the reliability of power station operation. This formula ensures that the priority of each equipment is a comprehensive result based on its failure possibility, severity and impact.

[0043] Step 5: Prioritization and Scheduling - Sort all devices according to the calculated priority and create an inspection task list. The system needs to schedule the tasks and give priority to high-priority devices for virtual reality inspection tasks to save actual inspection time.

[0044] Step 6: Virtual reality inspection task execution - The system uses virtual reality technology to build a three-dimensional model of the power station, and automatically navigates the inspectors to the location of each device according to the inspection task list. During the inspection process, the interface displays the monitoring data and inspection priority of the current inspection equipment, realizing real-time information sharing.

[0045] Step 7: Real-time information update mechanism - When arriving at each inspection point, the system needs to instantly read and update the latest monitoring data of the device and display it with the calculated inspection priority information. This can be done using data streaming technology (such as Apache Kafka) to ensure that the information is fed back to the user in a timely manner on the virtual reality interface.

[0046] Step 8: User feedback and optimization mechanism - After each inspection task is completed, the system needs to record the inspection results and compare them with the pre-calculated priorities and actual fault occurrences to analyze the inspection efficiency and accuracy. Based on user feedback, the formula parameters for inspection priority calculation are optimized to make subsequent inspection tasks more efficient and practical. Through the above steps, the automatic inspection function of the power station based on inspection priority is realized, which not only improves the inspection efficiency and ensures the timely monitoring of key equipment, but also greatly enhances the safety management capability of the power station. This intelligent inspection method combines traditional manual inspection with advanced virtual reality technology, providing an innovative and efficient maintenance management solution for the power station.

[0047] Furthermore, when the inspection mode is manual inspection, the inspection priority of each device is calculated and displayed in the virtual reality scene. According to the user's click operation on the direction arrow in the virtual reality scene, it moves to the corresponding target inspection point, and displays the monitoring data and inspection priority of the device at the inspection point.

[0048] In manual inspection mode, inspectors can flexibly select the equipment to be inspected based on their own judgment and needs. In order to improve the scientificity and effectiveness of the inspection, the system will first calculate the inspection priority of each device and display it in a virtual reality scene. Through the visual direction arrows, users can easily navigate to the required equipment to complete targeted inspections. When the inspectors arrive at the target inspection point, the system will provide the monitoring data and inspection priority information of the equipment in real time to support the inspectors in making data-based decisions. This process not only improves the efficiency and accuracy of the inspection, but also improves the intelligent level of equipment management. Role and significance: 1. Improve inspection efficiency: By calculating the inspection priority, it helps inspectors quickly identify the key equipment that needs to be inspected and ensures efficient use of inspection time. 2. Enhanced decision support: Real-time display of equipment monitoring data and priorities, guiding inspection personnel to make reasonable decisions in a data-driven manner, so as to timely discover and handle problems and reduce the risk of failure. 3. Improve user experience: The virtual reality interface provides intuitive equipment location and status information. Users can complete navigation through simple clicks, reducing operation complexity and improving the user's inspection experience. 4. Promote fault prevention: Before equipment failure occurs, priority-based inspection arrangements can effectively reduce the probability of failure and improve the operational safety and reliability of the power station.

[0049] Use virtual reality technology (such as Unity or Unreal Engine) to build a 3D model of the power station, and display the calculated inspection priority of each device in the scene as a visual label. The color or size of the label will be intuitively distinguished according to the priority level, ensuring that users can quickly identify it.

[0050] Add interactive directional arrow icons to each device, and users can use VR controllers (or traditional mice) to click arrows to navigate. The navigation system calculates the best path between the user's current location and the target inspection point in real time.

[0051] When the user clicks the direction arrow, the system will receive the command and update the virtual reality scene, automatically flying or gradually navigating to the target inspection point specified by the user. During this period, the user interface will display the current equipment status information and inspection priority, so that the inspection personnel can understand the equipment status at any time.

[0052] When the user arrives at the target inspection point, the system will automatically collect the latest monitoring data of the device and update the information in the virtual scene in real time through the data stream. At the same time, based on the latest data, the system will prompt the user the health status and inspection priority of the current device and provide specific operation suggestions (such as required maintenance or inspection).

[0053] After the inspection is completed, all operation and equipment status data are recorded to form a detailed inspection report. The inspection records will be uploaded to the cloud management system for subsequent analysis and fault prediction. Through big data analysis, the inspection strategy is continuously optimized to improve the operation and maintenance level of the power station.

[0054] Through the above steps, the manual inspection mode not only enables inspectors to flexibly respond to the inspection needs of various equipment, but also relies on the intelligent support of the system to improve work efficiency. This method of combining virtual reality technology with automated data processing has made an important step towards intelligent and efficient power station inspection work.

[0055] It can be seen that according to the inspection mode selected by the user, the virtual reality scene of the target power station is displayed to present the internal environment of the power station through the virtual reality scene; according to the monitoring data of each device in the target power station, the status health index of the target power station is calculated, and the status health index is displayed in the virtual reality scene and updated in real time; when the inspection mode is automatic inspection, the inspection priority of each device is calculated, and according to the inspection priority, the virtual reality inspection task is automatically executed, wherein, when arriving at each inspection point, the monitoring data and inspection priority of the equipment at the inspection point are immediately displayed, so that the monitoring data of each device can be displayed in real time in the virtual environment, greatly improving the intelligence level and inspection efficiency of the power station inspection.

[0056] Another embodiment of the present invention provides a power station inspection arrangement system based on virtual reality technology, see Figure 3 , the system may include: The display module 301 is used to display a virtual reality scene of the target power station according to the inspection mode selected by the user, so as to present the internal environment of the power station through the virtual reality scene; The calculation module 302 is used to calculate the state health index of the target power station according to the monitoring data of each device in the target power station, display the state health index in the virtual reality scene, and update it in real time; The inspection module 303 is used to calculate the inspection priority of each device when the inspection mode is automatic inspection, and automatically execute the virtual reality inspection task according to the inspection priority. When arriving at each inspection point, the monitoring data and inspection priority of the device at the inspection point are displayed in real time.

[0057] It can be seen that according to the inspection mode selected by the user, the virtual reality scene of the target power station is displayed to present the internal environment of the power station through the virtual reality scene; according to the monitoring data of each device in the target power station, the status health index of the target power station is calculated, and the status health index is displayed in the virtual reality scene and updated in real time; when the inspection mode is automatic inspection, the inspection priority of each device is calculated, and according to the inspection priority, the virtual reality inspection task is automatically executed, wherein, when arriving at each inspection point, the monitoring data and inspection priority of the equipment at the inspection point are immediately displayed, so that the monitoring data of each device can be displayed in real time in the virtual environment, greatly improving the intelligence level and inspection efficiency of the power station inspection.

[0058] An embodiment of the present invention further provides a storage medium, in which a computer program is stored, wherein the computer program is configured to execute the steps of any of the above method embodiments when running.

[0059] Specifically, in this embodiment, the above storage medium may be configured to store a computer program for performing the following steps: S201, displaying a virtual reality scene of a target power station according to an inspection mode selected by a user, so as to present an internal environment of the power station through the virtual reality scene; S202, calculating a health index of the target power station based on monitoring data of each device in the target power station, displaying the health index in a virtual reality scene, and updating it in real time; S203, when the inspection mode is automatic inspection, the inspection priority of each device is calculated, and the virtual reality inspection task is automatically executed according to the inspection priority, wherein when arriving at each inspection point, the monitoring data and inspection priority of the device at the inspection point are instantly displayed.

[0060] It can be seen that according to the inspection mode selected by the user, the virtual reality scene of the target power station is displayed to present the internal environment of the power station through the virtual reality scene; according to the monitoring data of each device in the target power station, the status health index of the target power station is calculated, and the status health index is displayed in the virtual reality scene and updated in real time; when the inspection mode is automatic inspection, the inspection priority of each device is calculated, and according to the inspection priority, the virtual reality inspection task is automatically executed, wherein, when arriving at each inspection point, the monitoring data and inspection priority of the equipment at the inspection point are immediately displayed, so that the monitoring data of each device can be displayed in real time in the virtual environment, greatly improving the intelligence level and inspection efficiency of the power station inspection.

[0061] An embodiment of the present invention further provides an electronic device, including a memory and a processor, wherein the memory stores a computer program, and the processor is configured to run the computer program to execute the steps in any one of the above method embodiments.

[0062] Specifically, the electronic device may further include a transmission device and an input / output device, wherein the transmission device is connected to the processor, and the input / output device is connected to the processor.

[0063] Specifically, in this embodiment, the processor may be configured to perform the following steps through a computer program: S201, displaying a virtual reality scene of a target power station according to an inspection mode selected by a user, so as to present an internal environment of the power station through the virtual reality scene; S202, calculating a health index of the target power station based on monitoring data of each device in the target power station, displaying the health index in a virtual reality scene, and updating it in real time; S203, when the inspection mode is automatic inspection, the inspection priority of each device is calculated, and the virtual reality inspection task is automatically executed according to the inspection priority, wherein when arriving at each inspection point, the monitoring data and inspection priority of the device at the inspection point are instantly displayed.

[0064] It can be seen that according to the inspection mode selected by the user, the virtual reality scene of the target power station is displayed to present the internal environment of the power station through the virtual reality scene; according to the monitoring data of each device in the target power station, the status health index of the target power station is calculated, and the status health index is displayed in the virtual reality scene and updated in real time; when the inspection mode is automatic inspection, the inspection priority of each device is calculated, and according to the inspection priority, the virtual reality inspection task is automatically executed, wherein, when arriving at each inspection point, the monitoring data and inspection priority of the equipment at the inspection point are immediately displayed, so that the monitoring data of each device can be displayed in real time in the virtual environment, greatly improving the intelligence level and inspection efficiency of the power station inspection.

[0065] The above describes in detail the structure, features and effects of the present invention based on the embodiments shown in the drawings. The above is only a preferred embodiment of the present invention, but the present invention is not limited to the scope of implementation shown in the drawings. Any changes made according to the concept of the present invention, or modifications to equivalent embodiments with equivalent changes, which still do not exceed the spirit covered by the description and drawings, should be within the protection scope of the present invention.

Claims

1. A method for arranging power station inspections based on virtual reality technology, characterized in that: The method comprises: According to the inspection mode selected by the user, a virtual reality scene of the target power station is displayed to present the internal environment of the power station through a virtual reality scene; Calculate the health index of the target power station based on the monitoring data of each device in the target power station, display the health index in the virtual reality scene, and update it in real time; When the inspection mode is automatic inspection, the inspection priority of each device is calculated, and the virtual reality inspection task is automatically executed according to the inspection priority. When each inspection point is reached, the monitoring data and inspection priority of the device at the inspection point are displayed in real time.

2. The method according to claim 1, characterized in that The method further comprises: When the inspection mode is manual inspection, the inspection priority of each device is calculated and displayed in the virtual reality scene. According to the user's click operation on the direction arrow in the virtual reality scene, it moves to the corresponding target inspection point and displays the monitoring data and inspection priority of the device at the inspection point.

3. The method according to claim 2, characterized in that The calculation formula of the state health index is: Among them, the is the health index, is the weight of the i-th device, is the probability distribution of the i-th device in the j-th device state, is the kth performance indicator of the i-th device, is the result of fuzzy logic evaluation on the kth index. is the weight of the kth performance indicator, is the number of performance indicators, p is the adjustment coefficient, n is the total number of devices, and m is the number of status types.

4. The method according to claim 3, characterized in that: The calculation formula of the inspection priority is: Among them, the is the inspection priority of the i-th device, is the failure frequency score of the i-th device, is the fault severity score of the i-th device, Score the fault impact range of the i-th device.

5. A power station inspection arrangement system based on virtual reality technology, characterized in that: The system comprises: A display module, used to display a virtual reality scene of a target power station according to an inspection mode selected by a user, so as to present the internal environment of the power station through a virtual reality scene; A calculation module, used to calculate the state health index of the target power station according to the monitoring data of each device in the target power station, display the state health index in the virtual reality scene, and update it in real time; The inspection module is used to calculate the inspection priority of each device when the inspection mode is automatic inspection, and automatically execute the virtual reality inspection task according to the inspection priority. When arriving at each inspection point, the monitoring data and inspection priority of the device at the inspection point are displayed in real time.

6. The system according to claim 5, characterized in that The system further comprises: When the inspection mode is manual inspection, the inspection priority of each device is calculated and displayed in the virtual reality scene. According to the user's click operation on the direction arrow in the virtual reality scene, it moves to the corresponding target inspection point and displays the monitoring data and inspection priority of the device at the inspection point.

7. The system according to claim 6, characterized in that The calculation formula of the state health index is: Among them, the is the health index, is the weight of the i-th device, is the probability distribution of the i-th device in the j-th device state, is the kth performance indicator of the i-th device, is the result of fuzzy logic evaluation on the kth index. is the weight of the kth performance indicator, is the number of performance indicators, p is the adjustment coefficient, n is the total number of devices, and m is the number of status types.

8. The system according to claim 7, characterized in that The calculation formula of the inspection priority is: Among them, the is the inspection priority of the i-th device, is the failure frequency score of the i-th device, is the fault severity score of the i-th device, Score the fault impact range of the i-th device.

9. A storage medium, characterized in that: The storage medium stores a computer program, wherein the computer program is configured to execute the method according to any one of claims 1 to 4 when executed.

10. An electronic device comprising a memory and a processor, characterized in that: A computer program is stored in the memory, and the processor is configured to run the computer program to perform the method according to any one of claims 1 to 4.

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