Power equipment supervision method and system based on two-dimensional code content recognition technology

Abstract

The present invention relates to a method and system for monitoring electric equipment based on two-dimensional code content recognition technology, and belongs to the technical field of electric equipment monitoring. The system includes a two-dimensional code generation module, a two-dimensional code production module, an information mapping management module, a mobile application module, a cloud data synchronization module, a cloud database, an equipment history information intelligent fusion module, an equipment status intelligent analysis module, and a multi-dimensional visualization display and interaction module. The system and method of the present invention can significantly improve the management efficiency of electric equipment, reduce management costs, and improve the reliability and stability of equipment, and has broad application prospects.

Description

Technical Field

[0001] The present invention belongs to the technical field of power equipment supervision, and specifically relates to a power equipment supervision method and system based on two-dimensional code content recognition technology. Background Art

[0002] Power equipment supervision is a vital component of the power system. Traditional supervision methods usually rely on manual records and RFID tags. However, these methods have obvious shortcomings in information update and real-time supervision. Specifically, the manual recording method has problems such as untimely information update, recording errors, and cumbersome operation. Although RFID tags solve some of these problems, they still cannot view equipment information in real time when there is a lack of specific reading equipment, which brings many inconveniences to equipment supervision.

[0003] In the supervision of power equipment, common problems include untimely information updates, complicated operation procedures, and insufficient real-time supervision. Traditional manual recording methods easily lead to inconsistent data and difficult maintenance. Although RFID tags improve supervision efficiency, they still cannot achieve fast and real-time equipment information acquisition when there are insufficient equipment information reading devices. These problems often lead to inefficient equipment supervision and delayed equipment maintenance in actual operations.

[0004] Therefore, how to overcome the shortcomings of the existing technology is an urgent problem to be solved in the field of power equipment supervision technology. Summary of the invention

[0005] The purpose of the present invention is to solve the deficiencies of the prior art and to provide a method and system for supervising electric power equipment based on two-dimensional code content recognition technology.

[0006] To achieve the above purpose, the technical solution adopted by the present invention is as follows: The power equipment supervision system based on QR code content recognition technology includes: A QR code generation module, used to generate a QR code containing detailed information of the power equipment; A QR code making module, connected to the QR code generating module, is used for printing and attaching the QR code; The information mapping management module is connected to the QR code generation module and the cloud database respectively, and is used for information mapping management of the QR code and the corresponding power equipment; The mobile application module is used to scan the QR code, obtain and store the power equipment information in real time, and edit and manage the power equipment information at the current moment; A cloud data synchronization module is connected to the mobile application module and is used to synchronize the power equipment information edited by the mobile application module to the cloud database; Cloud database for storing power equipment information; The equipment historical information intelligent fusion module is connected to the cloud database and is used to intelligently integrate equipment historical information, predict the health status of the equipment, and obtain a health status assessment report; The equipment status intelligent analysis module is connected to the cloud database to perform intelligent analysis on the equipment status and obtain maintenance plans; The multi-dimensional visualization display and interaction module is connected to the equipment historical information intelligent fusion module and the equipment status intelligent analysis module respectively, and is used to display the health status assessment report and maintenance plan, and is used for user interaction.

[0007] Further, preferably, in the QR code generation module, the QR code includes a QR code of the equipment name, number, model, maintenance record, operating manual and instruction information.

[0008] Furthermore, preferably, it also includes a system user management module, which is connected to the mobile application module and is used to control the user's editing authority.

[0009] Furthermore, preferably, the cloud data synchronization module adopts incremental synchronization technology for data transmission.

[0010] Furthermore, preferably, the cloud database is also used for log recording, and the log content includes the editing operation time, the operating user, the operation type and the specific operation content.

[0011] Furthermore, preferably, in the equipment historical information intelligent fusion module, the health status assessment report includes the current health score of the equipment, the health trend forecast for a period of time in the future, and the possible fault types and probability of occurrence.

[0012] Further, preferably, in the equipment status intelligent analysis module, the maintenance plan includes maintenance time and maintenance method.

[0013] Furthermore, preferably, the equipment status intelligent analysis module is connected to the equipment historical information intelligent fusion module, and is also used to issue fault warnings in advance based on the health status assessment report of the equipment historical information intelligent fusion module, and provide corresponding maintenance plan suggestions.

[0014] The present invention also provides a method for supervising electric power equipment based on two-dimensional code content recognition technology, and the method for supervising electric power equipment based on two-dimensional code content recognition technology comprises the following steps: S100, generating a QR code containing detailed information of the power equipment; S200, prints and attaches the QR code to the power equipment and conducts environmental adaptability test; S300, use the mobile application module to scan the QR code and obtain power equipment information in real time; S400, storing the scanned information in a background database for subsequent management and analysis; S500, intelligent integration of equipment historical information and intelligent status analysis; S600, multi-dimensional visualization and interactive functions.

[0015] Further, preferably, the S100 includes: S110, selecting a QR code encoding specification, data capacity, and error correction level according to an application scenario; S120, compressing the data to be encoded according to the two-dimensional code encoding specification, data capacity and error correction level selected in S110, generating error correction code data for the compressed data based on the error correction level, and then generating a two-dimensional code according to the compressed data and the error correction code data; In S200, the QR code needs to be tested for environmental adaptability, and the QR code that passes the test is put into use; the environmental adaptability test includes high temperature resistance, low temperature resistance, high humidity resistance, salt spray corrosion resistance and ultraviolet radiation resistance tests.

[0016] Since QR code technology has the advantages of large information storage capacity, fast reading speed, and flexible application, the present invention realizes real-time update and management of power equipment information by generating a QR code containing detailed equipment information and attaching it to the device, and using a mobile application module to scan and manage it.

[0017] Although the current application of QR code technology in power equipment management still has some problems that need to be solved. For example, the generation and production of QR codes need to ensure durability and clarity in various environments; the real-time update and management of equipment information requires an efficient and stable background database system; in addition, how to use big data and machine learning technology to intelligently integrate and analyze equipment historical information is also a key issue. The system of the present invention overcomes the above problems, and through the intelligent integration of equipment historical information and intelligent analysis of equipment status, it can not only obtain equipment information in real time, but also predict and optimize equipment operating status, greatly improving the efficiency and reliability of power equipment management. At the same time, the use of multi-dimensional visualization and interactive functions enables managers to intuitively understand the equipment status and make more scientific management decisions.

[0018] In summary, the present invention provides an efficient and reliable solution for power equipment management by introducing two-dimensional code content recognition technology and intelligent analysis technology, which has broad application prospects and significant economic benefits.

[0019] (1) Real-time information acquisition: Through QR code content recognition technology, users can obtain device information in real time through the mobile application module, avoiding the shortcomings of manual records and RFID tags, and improving the timeliness and accuracy of information updates.

[0020] (2) Efficient management: The database and cloud data synchronization mechanism of the mobile application module ensures centralized management and real-time updating of device information, simplifies the device management process, and improves work efficiency.

[0021] (3) Intelligent analysis: Using machine learning and deep learning technologies, intelligent integration and status analysis of equipment historical information is performed to provide accurate fault prediction and maintenance suggestions, thereby improving the scientificity and reliability of equipment management.

[0022] (4) Intuitive display: Multi-dimensional visualization and interactive functions enable managers to intuitively understand equipment status and management effects, making it easier to make scientific management decisions.

[0023] It would be best if the results could be quantified compared to existing technologies. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] Figure 1 It is a workflow diagram of a QR code generation component provided by an application example of the present invention; Figure 2 It is a schematic diagram of a QR code production component provided by an application example of the present invention; Figure 3 It is a workflow diagram of an information mapping management module provided by an application example of the present invention; Figure 4 It is a flow chart of the equipment health status prediction by the equipment history information intelligent fusion module provided by the application example of the present invention; Figure 5 It is a flow chart of intelligent analysis of equipment status provided by an application example of the present invention; Figure 6 It is a structural schematic diagram of the power equipment supervision system based on the two-dimensional code content recognition technology of the present invention; Figure 7 It is another structural schematic diagram of the power equipment supervision system based on the two-dimensional code content recognition technology of the present invention. DETAILED DESCRIPTION

[0025] The present invention is further described in detail below in conjunction with embodiments.

[0026] Those skilled in the art will appreciate that the following examples are only used to illustrate the present invention and should not be considered to limit the scope of the present invention. If no specific techniques or conditions are specified in the examples, the techniques or conditions described in the literature in the art or the product specifications are used. If the manufacturer of the materials or equipment used is not specified, they are all conventional products that can be purchased. Example

[0027] like Figure 6As shown, the power equipment supervision system based on the QR code content recognition technology includes: A QR code generation module 1 is used to generate a QR code containing detailed information of the power equipment; The QR code making module 2 is connected to the QR code generating module 1 and is used for printing and attaching the QR code; The information mapping management module 3 is connected to the two-dimensional code generation module 1 and the cloud database 6 respectively, and is used for information mapping management of the two-dimensional code and the corresponding power equipment; The mobile application module 4 is used to scan the QR code, obtain and store the power equipment information in real time, and edit and manage the power equipment information at the current moment; A cloud data synchronization module 5 is connected to the mobile application module 4 and is used to synchronize the power equipment information edited by the mobile application module 4 to the cloud database 6; A cloud database 6, used to store power equipment information; The equipment historical information intelligent fusion module 7 is connected to the cloud database 6 and is used to intelligently fuse the equipment historical information, predict the health status of the equipment, and obtain a health status assessment report; The equipment status intelligent analysis module 8 is connected to the cloud database 6 and is used to perform intelligent analysis on the equipment status and obtain a maintenance plan; The multi-dimensional visualization display and interaction module 9 is respectively connected to the equipment history information intelligent fusion module 7 and the equipment status intelligent analysis module 8, and is used to display the health status assessment report and maintenance plan, and is used for user interaction. Example

[0028] like Figure 7 As shown, the power equipment supervision system based on the QR code content recognition technology includes: A QR code generation module 1 is used to generate a QR code containing detailed information of the power equipment; The QR code making module 2 is connected to the QR code generating module 1 and is used for printing and attaching the QR code; The information mapping management module 3 is connected to the two-dimensional code generation module 1 and the cloud database 6 respectively, and is used for information mapping management of the two-dimensional code and the corresponding power equipment; The mobile application module 4 is used to scan the QR code, obtain and store the power equipment information in real time, and edit and manage the power equipment information at the current moment; A cloud data synchronization module 5 is connected to the mobile application module 4 and is used to synchronize the power equipment information edited by the mobile application module 4 to the cloud database 6; A cloud database 6, used to store power equipment information; The equipment historical information intelligent fusion module 7 is connected to the cloud database 6 and is used to intelligently fuse the equipment historical information, predict the health status of the equipment, and obtain a health status assessment report; The equipment status intelligent analysis module 8 is connected to the cloud database 6 and is used to perform intelligent analysis on the equipment status and obtain a maintenance plan; The multi-dimensional visualization display and interaction module 9 is respectively connected to the equipment history information intelligent fusion module 7 and the equipment status intelligent analysis module 8, and is used to display the health status assessment report and maintenance plan, and is used for user interaction.

[0029] In the QR code generation module 1, the QR code includes the QR code of the equipment name, number, model, maintenance record, operation manual and instruction information.

[0030] It also includes a system user management module 10, which is connected to the mobile application module 4 and is used to control the user's editing authority.

[0031] The cloud data synchronization module 5 uses incremental synchronization technology to transmit data.

[0032] The cloud database 6 is also used for log recording, and the log content includes the editing operation time, the operating user, the operation type and the specific operation content.

[0033] In the equipment historical information intelligent fusion module 7, the health status assessment report includes the current health score of the equipment, the health trend forecast for a period of time in the future, and the possible fault types and probability of occurrence.

[0034] In the equipment status intelligent analysis module 8, the maintenance plan includes maintenance time and maintenance method.

[0035] The equipment status intelligent analysis module 8 is connected to the equipment historical information intelligent fusion module 7, and is also used to issue fault warnings in advance based on the health status assessment report of the equipment historical information intelligent fusion module 7, and provide corresponding maintenance plan suggestions. Example

[0036] like Figure 7 As shown, the power equipment supervision system based on the QR code content recognition technology includes: A QR code generation module 1 is used to generate a QR code containing detailed information of the power equipment; The QR code making module 2 is connected to the QR code generating module 1 and is used for printing and attaching the QR code; The information mapping management module 3 is connected to the two-dimensional code generation module 1 and the cloud database 6 respectively, and is used for information mapping management of the two-dimensional code and the corresponding power equipment; The mobile application module 4 is used to scan the QR code, obtain and store the power equipment information in real time, and edit and manage the power equipment information at the current moment; A cloud data synchronization module 5 is connected to the mobile application module 4 and is used to synchronize the power equipment information edited by the mobile application module 4 to the cloud database 6; A cloud database 6, used to store power equipment information; The equipment historical information intelligent fusion module 7 is connected to the cloud database 6 and is used to intelligently fuse the equipment historical information, predict the health status of the equipment, and obtain a health status assessment report; The equipment status intelligent analysis module 8 is connected to the cloud database 6 and is used to perform intelligent analysis on the equipment status and obtain a maintenance plan; The multi-dimensional visualization display and interaction module 9 is respectively connected to the equipment history information intelligent fusion module 7 and the equipment status intelligent analysis module 8, and is used to display the health status assessment report and maintenance plan, and is used for user interaction.

[0037] In the QR code generation module 1, the QR code includes the QR code of the equipment name, number, model, maintenance record, operation manual and instruction information.

[0038] It also includes a system user management module 10, which is connected to the mobile application module 4 and is used to control the user's editing authority.

[0039] The cloud data synchronization module 5 uses incremental synchronization technology to transmit data.

[0040] The cloud database 6 is also used for log recording, and the log content includes the editing operation time, the operating user, the operation type and the specific operation content.

[0041] In the equipment historical information intelligent fusion module 7, the health status assessment report includes the current health score of the equipment, the health trend forecast for a period of time in the future, and the possible fault types and probability of occurrence.

[0042] In the equipment status intelligent analysis module 8, the maintenance plan includes maintenance time and maintenance method.

[0043] The equipment status intelligent analysis module 8 is connected to the equipment historical information intelligent fusion module 7, and is also used to issue fault warnings in advance based on the health status assessment report of the equipment historical information intelligent fusion module 7, and provide corresponding maintenance plan suggestions.

[0044] The electric power equipment supervision method based on the two-dimensional code content recognition technology adopts the electric power equipment supervision method based on the two-dimensional code content recognition technology described in this embodiment, including the following steps: S100, generating a QR code containing detailed information of the power equipment; S200, prints and attaches the QR code to the power equipment and conducts environmental adaptability test; S300, use the mobile application module to scan the QR code and obtain power equipment information in real time; S400, storing the scanned information in a background database for subsequent management and analysis; S500, intelligent integration of equipment historical information and intelligent status analysis; S600, multi-dimensional visualization and interactive functions.

[0045] The S100 includes: S110, selecting a QR code encoding specification, data capacity, and error correction level according to an application scenario; S120, compressing the data to be encoded according to the two-dimensional code encoding specification, data capacity and error correction level selected in S110, generating error correction code data for the compressed data based on the error correction level, and then generating a two-dimensional code according to the compressed data and the error correction code data; In S200, the QR code needs to be tested for environmental adaptability, and the QR code that passes the test is put into use; the environmental adaptability test includes high temperature resistance, low temperature resistance, high humidity resistance, salt spray corrosion resistance and ultraviolet radiation resistance tests.

[0046] The power equipment supervision system based on QR code content recognition technology includes: A QR code generation module 1 is used to generate a QR code containing detailed information of the power equipment; The QR code making module 2 is connected to the QR code generating module 1 and is used for printing and attaching the QR code; The information mapping management module 3 is connected to the two-dimensional code generation module 1 and the cloud database 6 respectively, and is used for information mapping management of the two-dimensional code and the corresponding power equipment; The mobile application module 4 is used to scan the QR code, obtain and store the power equipment information in real time, and edit and manage the power equipment information at the current moment; A cloud data synchronization module 5 is connected to the mobile application module 4 and is used to synchronize the power equipment information edited by the mobile application module 4 to the cloud database 6; A cloud database 6, used to store power equipment information; The equipment historical information intelligent fusion module 7 is connected to the cloud database 6 and is used to intelligently fuse the equipment historical information, predict the health status of the equipment, and obtain a health status assessment report; The equipment status intelligent analysis module 8 is connected to the cloud database 6 and is used to perform intelligent analysis on the equipment status and obtain a maintenance plan; The multi-dimensional visualization display and interaction module 9 is respectively connected to the equipment history information intelligent fusion module 7 and the equipment status intelligent analysis module 8, and is used to display the health status assessment report and maintenance plan, and is used for user interaction.

[0047] Specifically: A QR code generation module 1 is used to generate a QR code containing detailed information of the power equipment; like Figure 1 As shown, in the QR code generation module 1, the appropriate QR code encoding specification (such as QR code, Data Matrix, Aztec code, etc.) is selected according to the application scenario. The module supports multiple character sets (such as UTF-8, ISO-8859-1) and data types (text, URL, number, binary data) to ensure that the input data can be correctly encoded.

[0048] In order to reduce the amount of data and improve the storage efficiency of the QR code, the data to be encoded is compressed and an efficient data compression algorithm (such as zlib) is used to reduce the amount of data. The compressed data is converted into a QR code through the QR Code encoding algorithm, and an advanced error correction mechanism is applied during the generation process. Four error correction levels, L, M, Q, and H, are provided, and users can choose the appropriate error correction level according to actual needs. Preferably, the Reed-Solomon error correction algorithm is used to introduce the selected error correction level when the QR code is generated. The algorithm can effectively process and correct errors in the QR code to ensure the reliability of the data.

[0049] Use the QR Code encoding algorithm to convert the compressed data into a QR code to ensure the accuracy and integrity of the data. Generate a high-quality QR code image based on the encoded and compressed data, and select the appropriate image format (such as PNG, SVG, JPG) and resolution to ensure the clarity of the QR code.

[0050] The two-dimensional code generated by the present invention not only has efficient encoding and compression capabilities, but also has powerful error correction capabilities and high-quality image output, and is suitable for various complex application scenarios.

[0051] The two-dimensional code making module 2 is connected to the two-dimensional code generating module 1 and is used to print and attach the two-dimensional code. The process is as follows: Figure 2 As shown; According to the use environment of power equipment, choose suitable durable, waterproof and dustproof printing materials, such as polyester film (PET), polyimide (PI) and stainless steel. These materials can maintain the integrity and readability of the QR code in extreme temperature, high humidity and corrosive environment.

[0052] Use high-precision printing equipment to print the QR code image. The printing equipment should have a high-resolution capability of at least 600dpi to ensure that every detail of the QR code can be clearly presented, thereby ensuring high readability of the QR code. For extremely small labels, laser printing or photolithography technology can even be used to further improve printing accuracy.

[0053] According to different power equipment and usage environment, a variety of fixing methods are adopted to ensure that the QR code can be stably attached to the equipment for a long time and easy to scan.

[0054] Use high-strength industrial-grade adhesives, such as 3M VHB tape, to ensure that it can be firmly attached even in extreme environments. The pasting method is suitable for flat and smooth metal or plastic surfaces. For devices that cannot be directly pasted, use hanging tags. Tags made of metal or engineering plastics with high tensile strength are fixed to the device with stainless steel cable ties or high-strength fiber ropes to ensure that they will not fall off under mechanical vibration or physical impact.

[0055] In scenarios with high durability requirements, laser technology is used to engrave the QR code directly on the device surface or metal label. This technology ensures that the QR code remains readable in extreme environments such as high temperature, low temperature, and chemical corrosion.

[0056] After the QR code is produced, it is subjected to strict environmental adaptability tests, including high temperature (such as above 150°C), low temperature (such as below -40°C), high humidity (such as above 90%RH), salt spray corrosion and ultraviolet irradiation and other tests (the above test methods are all existing methods, and the present invention does not impose special restrictions on this), to ensure that the QR code can still remain clear and readable in various extreme environments. These tests can be simulated and verified by highly accelerated life test (HALT) equipment.

[0057] The information mapping management module 3 is connected to the two-dimensional code generation module 1 and the cloud database 6 respectively, and is used to perform information mapping management between the two-dimensional code and the corresponding power equipment. The process is as follows: Figure 3 As shown; In order to improve the stability and scalability of the system, the information mapping management module 3 adopts a microservice architecture design, and is deployed in containers through Docker and Kubernetes. By using load balancing technology (such as NGINX or HAProxy), it can maintain stable operation under high concurrent access conditions. Distributed storage and computing technology ensures that the system can expand smoothly with the increase in data volume and access volume.

[0058] The two-dimensional code production module 2 and the information mapping management module 3 of the present invention not only ensure that the generated two-dimensional code can remain clear, durable and easy to scan in various environments, but also realize efficient management of data, providing a solid technical guarantee for power equipment management.

[0059] The mobile application module 4 is used to scan the QR code, obtain and store the power equipment information in real time, and edit and manage the power equipment information at the current moment; The present invention proposes a powerful and user-friendly mobile application module 4 for realizing real-time scanning of QR codes and device information management. First, a suitable cross-platform development framework is selected, such as React Native or Flutter, to ensure that the mobile application can run seamlessly on iOS and Android platforms. Through one-time coding, multi-platform publishing is achieved, reducing development and maintenance costs.

[0060] The mobile application module 4 integrates a high-performance QR code scanning library, such as ZXing or ZBar, to provide efficient QR code recognition capabilities. In order to optimize the scanning experience, the mobile application module 4 uses the camera's automatic focus and exposure adjustment to ensure that the QR code can be scanned quickly and accurately under various lighting conditions. In addition, the mobile application module adds a real-time preview box and scanning prompts to improve the user's scanning experience.

[0061] The mobile application module 4 is ensured to be able to obtain and display device information in real time. After scanning the QR code, the mobile application module 4 is able to retrieve relevant information from the database of the mobile application module 4 (i.e., for local storage) by calling the background API interface, and display detailed device information on the mobile application module 4, including device name, number, model, maintenance record, etc. In order to access device information when the network is unstable or there is no network connection, the mobile application module 4 provides an offline cache function, and the scanned device information is automatically cached locally and automatically synchronized to the cloud database 6 when the network is restored.

[0062] The mobile application module 4 also has information editing and updating functions. Users can directly edit device information through the mobile application module 4, and the modified data will be updated to the cloud database 6 in real time through the API interface. In order to ensure security, role-based access control (RBAC) is introduced, and only authorized users can edit and update device information. Administrators can manage user permissions through the system user management module 10.

[0063] Mobile application module 4 adopts modern UI / UX design principles to develop a simple and intuitive user interface. Responsive design is used to ensure good display effects on screens of different sizes and resolutions. User guidance and help documents are embedded in mobile application module 4, allowing users to quickly get started and use the application proficiently through interactive tutorials, prompts and help centers.

[0064] Preferably, the mobile application module 4 integrates a performance monitoring tool (such as Firebase PerformanceMonitoring or New Relic) to monitor the running status of the application in real time, collect and analyze performance data, and promptly discover and solve performance bottlenecks. For data caching and storage, SQLite or Room database is used to optimize local storage and reading performance to ensure that the application can still respond quickly when offline.

[0065] The mobile application module 4 encrypts the data stored locally and in transit, using the AES-256 encryption algorithm to ensure the security of data during transmission and storage. At the same time, the OAuth2.0 authentication mechanism is integrated to ensure the security of user login and data access. The application also uses two-factor authentication (2FA) to further improve system security.

[0066] The mobile application module 4 supports automatic update function. Users can submit questions and suggestions at any time through the application store or built-in update mechanism. The development team will optimize and improve in time according to user feedback to improve the overall quality of the application.

[0067] The mobile application module 4 of the present invention can not only efficiently and stably realize the scanning, editing and management of the two-dimensional code of the power equipment, but also greatly improves the real-time acquisition and update capabilities of the equipment information, and improves the efficiency and accuracy of the power equipment management.

[0068] The mobile application module 4 also supports batch data import and export, and has a data verification function to ensure the accuracy of the input data. It also integrates an intelligent data correction algorithm to automatically correct common data entry errors.

[0069] A cloud data synchronization module 5 is connected to the mobile application module 4 and is used to synchronize the power equipment information edited by the mobile application module to the cloud database 6; The present invention proposes a cloud data synchronization mechanism that combines security, efficiency and reliability, which is used in the cloud data synchronization module 5. First, the security of data transmission is ensured, and data transmission is performed through an encrypted channel. The SSL / TLS protocol is used in combination with the AES-256 encryption algorithm to ensure the confidentiality and integrity of data during transmission.

[0070] Build a highly available and scalable cloud database system. Choose a distributed database architecture, such as Apache Cassandra or Google Spanner, to achieve high availability and scalability of data. The database system supports multi-user concurrent access to ensure data integrity and consistency.

[0071] Design an efficient data synchronization algorithm to ensure real-time synchronization between local and cloud data. Use incremental synchronization technology to transmit only the changed data to reduce bandwidth consumption and synchronization time. At the same time, use data caching and queue technology to improve the efficiency and reliability of data transmission.

[0072] The present invention can realize real-time data synchronization, specifically: after scanning the QR code, the mobile application module 4 obtains the device information in real time and stores it locally. When the device is connected to the network, the mobile application module 4 automatically synchronizes the local data to the cloud database 6. This process runs in the background to ensure the smoothness of the foreground operation.

[0073] The present invention can realize offline data synchronization, specifically: to ensure normal use in the case of unstable network or no network connection, the mobile application module 4 provides an offline data caching function. The scanned power equipment information is automatically cached locally and automatically synchronized to the cloud database 6 when the network is restored. A conflict detection and resolution mechanism is used to ensure data consistency.

[0074] The present invention builds a data backup and recovery mechanism. The cloud database system 6 regularly backs up data and uses distributed storage technology (such as Amazon S3, Google Cloud Storage) to store backup data in multiple geographical locations to ensure data persistence and reliability. It provides a data recovery function, which can quickly restore to the most recent backup state when data is lost or damaged.

[0075] The cloud database system 6 uses advanced indexing technologies, such as B-tree or LSM tree, to optimize query speed and support complex query operations, including multi-dimensional queries by equipment number, maintenance date, fault type, etc. The database design adopts a hybrid storage mode, combining relational databases (such as PostgreSQL) with non-relational databases (such as MongoDB, Elasticsearch) to meet the storage needs of structured and unstructured data.

[0076] The cloud database system 6 has detailed log recording and exception review functions. It uses a distributed log management method (such as ELK Stack) to record each data upload, synchronization and query operation. The log content includes the editing operation time, operation user, operation type and specific operation content, which is convenient for subsequent tracing and auditing.

[0077] In order to improve the stability and scalability of the system, the cloud data synchronization mechanism adopts a microservice architecture design, containerized deployment through Docker and Kubernetes, and load balancing technology (such as NGINX or HAProxy), so that Seventeen can maintain stable operation under high concurrent access conditions. Distributed storage and computing technology ensures that the system can smoothly expand with the increase in data volume and access volume.

[0078] Through the above steps, the cloud database system 6 of the present invention not only ensures the security and real-time performance of data during transmission, but also realizes efficient storage and management of data, providing a solid technical guarantee for power equipment management.

[0079] The equipment historical information intelligent fusion module 7 is connected to the cloud database 6 and is used to intelligently fuse the equipment historical information, predict the health status of the equipment, and obtain a health status assessment report; The equipment status intelligent analysis module 8 is connected to the cloud database 6 and is used to perform intelligent analysis on the equipment status and obtain a maintenance plan; The present invention uses advanced machine learning algorithms to intelligently integrate equipment historical information. Cluster analysis, regression analysis and classification algorithms are used to comprehensively analyze equipment operation data, extract key features and generate comprehensive analysis reports. These algorithms can include K-means clustering, linear regression and support vector machines (SVM), which can reveal the potential patterns and laws of equipment operation by deeply mining the data.

[0080] like Figure 4 As shown in the figure, deep learning algorithms (such as LSTM neural networks) are used to model and predict the time series data of the equipment. By training the model, the health status of the equipment can be accurately predicted and potential failures and abnormal conditions can be identified in advance. The LSTM model can effectively capture the dynamic changes in the operating status of the equipment due to its superior performance in processing long time series data.

[0081] Based on the deep learning model, the equipment historical information intelligent fusion module 7 can monitor the health status of power equipment in real time and generate a health status assessment report. The report includes the current health score of the equipment, the health trend forecast for the next period of time, and the possible fault types and probability of occurrence.

[0082] The equipment status intelligent analysis module 8 proposes an optimized maintenance plan by analyzing the maintenance records and performance data of the power equipment. Using data mining techniques such as association rule mining and decision tree algorithms, the equipment status intelligent analysis module 8 can identify the best maintenance time and maintenance method to reduce equipment downtime and maintenance costs.

[0083] The equipment status intelligent analysis module 8 can issue fault warnings in advance through intelligent analysis and provide detailed maintenance plan suggestions, such as Figure 5 Early warning can also use rule-based models and anomaly detection algorithms, such as Bayesian networks and isolation forests, to detect abnormal behaviors in the operation of power equipment in real time and promptly notify maintenance personnel to take corresponding measures.

[0084] The multi-dimensional visualization display and interaction module 9 is respectively connected to the equipment history information intelligent fusion module 7 and the equipment status intelligent analysis module 8, and is used to display the health status assessment report and maintenance plan, and is used for user interaction.

[0085] The multi-dimensional visualization and interaction module 9 is a user-friendly visualization platform, which is preferably developed using a modern front-end framework and provides an intuitive graphical user interface (GUI) to display the operating status, health score, fault prediction and maintenance recommendations of the equipment. Users can intuitively understand the operation status and management effect of the equipment through interactive dashboards, charts and reports.

[0086] The multi-dimensional visualization and interaction module 9 can use modern data visualization technology to develop multi-dimensional visualization tools. Select front-end frameworks such as D3.js, ECharts or Highcharts to ensure the richness and interactivity of data display. These frameworks can provide a variety of chart types, including line charts, bar charts, pie charts, scatter charts and radar charts, etc., to meet different data display needs.

[0087] The equipment history information intelligent fusion module 7 and the equipment status intelligent analysis module 8 preferably adopt the microservice architecture design, and use Docker and Kubernetes for containerized deployment. By using load balancing (such as NGINX or HAProxy) technology, the system can maintain stable operation under high concurrent access conditions. Distributed storage and computing technology ensures that the system can smoothly expand with the increase in data volume and analysis needs.

[0088] The equipment history information intelligent fusion module 7 and the equipment status intelligent analysis module 8 of the present invention not only realize the intelligent monitoring and management of power equipment, but also greatly improve the operation reliability and maintenance efficiency of the equipment, providing a solid technical guarantee for power equipment management.

[0089] In the multi-dimensional visualization and interaction module 9, an intuitive graphical user interface (GUI) is designed. The user interface adopts a responsive design to ensure good display effects on different devices and resolutions. The interface layout is reasonable and easy to operate. Users can easily browse and analyze device data through interactive methods such as dragging, zooming and clicking. Key data and indicators are displayed in real time through the dashboard, and users can understand the operating status and health of the equipment at a glance.

[0090] The multi-dimensional visualization and interaction module 9 also integrates a multi-dimensional data analysis function. It supports multi-dimensional data screening and filtering, and users can dynamically adjust the display content according to conditions such as equipment number, time range, fault type, etc. Preferably, real-time data stream processing technology is used to ensure that the data can be reflected in the visualization interface in a timely manner after being updated. Users can deeply analyze the trends and rules behind the data through interactive operations.

[0091] By combining different types of charts and data display methods, the multi-dimensional visualization display and interaction module 9 can display the operation status, historical records and prediction results of the equipment from multiple dimensions. For example, users can view the historical operation data, real-time status and future health prediction of the equipment at the same time, and integrate the data of various dimensions on one interface for display and analysis.

[0092] The multi-dimensional visualization and interaction module 9 provides a highly customized dashboard, where users can select and arrange different chart components according to their needs. The dashboard supports real-time data updates, and users can view detailed information and historical records by clicking on data points in the chart.

[0093] In the multi-dimensional visualization and interactive module 9, users can select the content and format of the report according to their needs. The system automatically summarizes the relevant data and generates an analysis report with pictures and text. The report content includes equipment health assessment, fault prediction, maintenance suggestions, etc. Users can export it to PDF or Excel format for easy sharing and archiving.

[0094] In the multi-dimensional visualization and interaction module 9, the system will record detailed logs for each data display, interaction and report generation operation, including operation time, operation user, operation type and specific operation content. These log data are managed through a distributed log management system (such as ELK Stack) to facilitate subsequent tracing and auditing.

[0095] The multi-dimensional visualization and interaction module 9 adopts a microservice architecture design and is deployed in containers through Docker and Kubernetes. Load balancing technology (such as NGINX or HAProxy) is used to enable it to maintain stable operation under high concurrent access conditions. Distributed storage and computing technology ensures that the system can expand smoothly as the amount of data and the number of visits increase.

[0096] The above shows and describes the basic principles, main features and advantages of the present invention. It should be understood by those skilled in the art that the present invention is not limited to the above embodiments, and the above embodiments and descriptions are only for explaining the principles of the present invention. Without departing from the spirit and scope of the present invention, the present invention may have various changes and improvements, which fall within the scope of the present invention to be protected. The scope of protection of the present invention is defined by the attached claims and their equivalents.

Claims

1. The power equipment supervision system based on QR code content recognition technology is characterized by: include: A two-dimensional code generation module (1), used to generate a two-dimensional code containing detailed information of the electric power equipment; A two-dimensional code production module (2), connected to the two-dimensional code generation module (1), for printing and attaching a two-dimensional code; An information mapping management module (3) is connected to the two-dimensional code generation module (1) and the cloud database (6) respectively, and is used to perform information mapping management on the two-dimensional code and the corresponding power equipment; The mobile application module (4) is used to scan the QR code, obtain and store the power equipment information in real time, and edit and manage the power equipment information at the current moment; A cloud data synchronization module (5) connected to the mobile application module (4) and used to synchronize the power equipment information edited by the mobile application module (4) to a cloud database (6); A cloud database (6) for storing power equipment information; The equipment historical information intelligent fusion module (7) is connected to the cloud database (6) and is used to intelligently fuse the equipment historical information, predict the health status of the equipment, and obtain a health status assessment report; An equipment status intelligent analysis module (8) is connected to the cloud database (6) and is used to perform intelligent analysis on the equipment status to obtain a maintenance plan; The multi-dimensional visualization display and interaction module (9) is respectively connected to the equipment history information intelligent fusion module (7) and the equipment status intelligent analysis module (8), and is used to display the health status assessment report and maintenance plan, and is used for user interaction.

2. The power equipment supervision system based on two-dimensional code content recognition technology according to claim 1 is characterized in that: In the QR code generation module (1), the QR code includes a QR code of the equipment name, serial number, model, maintenance record, operation manual and instruction information.

3. The power equipment supervision system based on two-dimensional code content recognition technology according to claim 1 is characterized in that: It also includes a system user management module (10), which is connected to the mobile application module (4) and is used to control the user's editing authority.

4. The power equipment supervision system based on two-dimensional code content recognition technology according to claim 1 is characterized in that: The cloud data synchronization module (5) uses incremental synchronization technology to transmit data.

5. The power equipment supervision system based on two-dimensional code content recognition technology according to claim 1 is characterized in that: The cloud database (6) is also used for log recording, and the log content includes the editing operation time, operation user, operation type and specific operation content.

6. The power equipment supervision system based on two-dimensional code content recognition technology according to claim 1 is characterized in that: In the equipment historical information intelligent fusion module (7), the health status assessment report includes the current health score of the equipment, the health trend forecast for a period of time in the future, and the possible fault types and probability of occurrence.

7. The power equipment supervision system based on two-dimensional code content recognition technology according to claim 1 is characterized in that: In the equipment status intelligent analysis module (8), the maintenance plan includes maintenance time and maintenance method.

8. The power equipment supervision system based on two-dimensional code content recognition technology according to claim 1 is characterized in that: The equipment status intelligent analysis module (8) is connected to the equipment historical information intelligent fusion module (7), and is also used to issue a fault warning in advance based on the health status assessment report of the equipment historical information intelligent fusion module (7), and provide corresponding maintenance plan suggestions.

9. A method for supervising electric power equipment based on two-dimensional code content recognition technology, characterized in that: The method for supervising electric power equipment based on the two-dimensional code content recognition technology according to any one of claims 1 to 8 comprises the following steps: S100, generating a QR code containing detailed information of the power equipment; S200, prints and attaches the QR code to the power equipment and conducts environmental adaptability test; S300, use the mobile application module to scan the QR code and obtain power equipment information in real time; S400, storing the scanned information in a background database for subsequent management and analysis; S500, intelligent integration of equipment historical information and intelligent status analysis; S600, multi-dimensional visualization and interactive functions.

10. The power equipment supervision method based on two-dimensional code content recognition technology according to claim 9 is characterized in that: The S100 includes: S110, selecting a QR code encoding specification, data capacity, and error correction level according to an application scenario; S120, compressing the data to be encoded according to the two-dimensional code encoding specification, data capacity and error correction level selected in S110, generating error correction code data for the compressed data based on the error correction level, and then generating a two-dimensional code according to the compressed data and the error correction code data; In S200, the QR code needs to be tested for environmental adaptability, and the QR code that passes the test is put into use; the environmental adaptability test includes high temperature resistance, low temperature resistance, high humidity resistance, salt spray corrosion resistance and ultraviolet radiation resistance tests.

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