Intelligent operation and maintenance management system for electrical measurement and thermal instruments

Abstract

The invention relates to the technical field of industrial instrument management, and discloses an electric measurement and thermal instrument intelligent operation and maintenance management system which comprises a database management module, an intelligent calculation module, an early warning distribution module, a mobile terminal module, a closed loop verification module and the like. According to the system, equipment digital mapping is established, an intelligent calculation module is used for automatically calculating a verification period according to time parameters, and an early warning work order is generated; the early warning and task distribution module is combined with a dynamic permission mechanism to push the work order to the mobile terminal; the mobile terminal collects on-site real-time coordinates and instrument physical images; and the closed-loop verification module executes distance judgment based on a geographic position and identity consistency verification based on OCR recognition, and extracts an image date to automatically update the electronic machine account when and only when the verification is passed. According to the method, field operation behaviors are restrained, missing detection and cheating are avoided, and authenticity guarantee and whole-process closed-loop management of instrument operation and maintenance data are realized.

Description

Technical Field

[0001] This invention relates to the field of industrial instrument management technology, specifically to an intelligent operation and maintenance management system for electrical and thermal instruments. Background Technology

[0002] In industrial production processes such as power and chemical manufacturing, electrical and thermal instruments are fundamental equipment for ensuring the accuracy of process control and safe operation. According to national metrology regulations and enterprise equipment management systems, these instruments must be periodically verified, calibrated, or replaced according to prescribed time cycles to ensure the accuracy and reliability of their measurements.

[0003] Currently, the operation and maintenance management of the vast number of instruments and equipment across the plant relies primarily on manual creation of electronic spreadsheet ledgers or the use of general asset management software for record-keeping. When developing maintenance plans, managers typically need to manually calculate the expiration date for each piece of equipment based on the last work date. With thousands of instruments having varying calibration cycles, this method of relying on manual memory and calculation is inefficient and prone to oversights, leading to missed inspections or overdue use of critical instruments, posing compliance risks. In the on-site execution phase, the existing management model lacks effective technical constraints on the actual behavior of maintenance personnel. Although tasks are issued through a work order system, managers find it difficult to verify whether maintenance personnel have actually arrived at the designated physical location or whether the object they are operating is the specific equipment specified in the work order. In practice, there are instances where maintenance personnel remotely fill in data without being on-site, or where misdiagnosis or incorrect inspection occurs due to unclear equipment labeling, and effective verification methods are lacking. In addition, after the verification work is completed, it is usually necessary to manually enter the information of the paper certificate into the system to update the ledger. This process may be time-delayed and may result in errors, causing the electronic data in the system to be disconnected from the physical status of the equipment on site for a long time, making it impossible to form a closed-loop management. Summary of the Invention

[0004] To address the shortcomings of existing technologies, this invention provides an intelligent operation and maintenance management system for electrical and thermal instruments. This system solves the problems of existing operation and maintenance management of electrical and thermal instruments, which mainly relies on manual statistics and data entry, resulting in low efficiency in planning and calculation, easy omissions in inspections, lack of effective technical constraints on personnel availability and equipment identity in on-site operations, and lagging data updates that make it difficult to form a closed loop.

[0005] To achieve the above objectives, the present invention provides the following technical solution: an intelligent operation and maintenance management system for electrical and thermal instruments, comprising: The database management module is used to build digital models of instruments and equipment, store multi-dimensional data sets including identification, attribute description, spatial location and time parameters, and establish a unique correspondence between physical equipment and database records; The intelligent calculation module is used to calculate the verification cycle deadline and early warning reminder date based on the time parameters, and to monitor the equipment status in real time according to the current system time to generate an early warning trigger signal; The early warning and task distribution module is used to generate a maintenance work order in response to the early warning trigger signal and distribute the maintenance work order to a designated account; The permission management module is used to maintain user role permissions and dynamically grant editing permissions for specific devices in response to work order distribution operations; The mobile operation and maintenance terminal module is used to display work orders to be executed on mobile devices and call the underlying hardware interface of the mobile devices to collect real-time geographical coordinates and instrument images on site. The closed-loop verification module is used to receive the real-time geographic location coordinates and the actual image of the instrument, perform distance determination based on spatial location and consistency verification based on image features, and automatically update the time parameters in the database management module after the verification is passed.

[0006] Preferably, the unique correspondence constructed by the database management module is achieved in the following way: a globally unique device identification code is generated based on the device's region code, instrument type code, and sequentially increasing code; a machine-readable graphic code label containing the device identification code is generated, and the label is pasted on the surface of the instrument, so that the multidimensional data set in the database is associated with the physical entity on site.

[0007] Preferably, the logic of the intelligent computing module for calculating the expiration date of the verification cycle is as follows: obtain the last verification date and the verification cycle of the equipment, add the last verification date to the verification cycle and subtract one day to obtain the next verification date; The logic of the intelligent computing module in calculating the early warning reminder date is as follows: obtain a preset early warning lead time parameter, subtract the early warning lead time parameter from the next verification date to obtain the early warning reminder date.

[0008] Preferably, the intelligent computing module monitors the device status in real time in the following specific way: Configure a scheduled task service to scan all device data and obtain the current system date; When the current system date falls between the warning reminder date and the next inspection date, the device is determined to have entered the warning period, the warning trigger signal is generated, and the device status is updated to pending inspection. When the current system date is later than the next inspection date, an overdue alarm signal is generated and the device status is updated to overdue inspection.

[0009] Preferably, the permission management module executes the following dynamic authorization logic: in the initial state, the operation and maintenance personnel account is granted read-only access rights; when the early warning and task distribution module assigns the maintenance work order to the operation and maintenance personnel account, the account is temporarily granted the right to edit the maintenance information of the equipment associated with the work order; at the same time, when the work order is in the pending execution state, the modification permission of basic ledger information other than the verification results and on-site photos is locked.

[0010] Preferably, the mobile maintenance terminal module collects real-time on-site geographic location coordinates and instrument images in the following way: on the task feedback interface, it directly calls the positioning service interface to obtain the current latitude, longitude and accuracy radius, and at the same time calls the multimedia interface to control the camera device to take images containing the instrument nameplate and calibration certificate, and then packages the images with the latitude and longitude into the task submission message after compression and encoding.

[0011] Preferably, the closed-loop verification module performs distance determination based on spatial location in the following specific manner: Extract the real-time geographic location coordinates from the task submission message, and retrieve the preset installation location coordinates of the corresponding instrument from the database management module; Calculate the geographical distance between two points based on an ellipsoidal model; Determine whether the geographical distance is less than or equal to a preset spatial error threshold; if yes, the location verification is deemed successful; otherwise, the location is deemed abnormal and data submission is rejected.

[0012] Preferably, when indoors or in a signal-blocked area, the real-time geographic location coordinates include the unique identifier of the Bluetooth beacon scanned by the mobile device and the received signal strength indication; The verification logic of the closed-loop verification module is converted into: determining whether the unique identifier of the scanned Bluetooth beacon is consistent with the beacon ID pre-stored in the database, and whether the received signal strength indicator is greater than the preset signal strength threshold.

[0013] Preferably, the closed-loop verification module performs image feature-based consistency verification and automatic updates in the following specific manner: Optical character recognition is performed on the physical image of the instrument to extract the image recognition device number and the image recognition verification date; Obtain the database device identification code associated with the current maintenance work order, and determine whether the image recognition device number matches the database device identification code; Data updates are allowed only when both are consistent and the location verification passes. The image recognition verification date is automatically written as valid data into the last verification date field of the database management module, and manual modification of this field is prohibited.

[0014] A method for intelligent operation and maintenance management of electrical and thermal instruments includes the following steps: S1. Establish an electronic ledger for electrical and thermal instruments, assign globally unique equipment identification codes, and establish physical correspondences. S2. Automatically calculate the next calibration date and early warning reminder date based on the equipment's historical calibration data and scheduled calibration cycle, and monitor the current system time in real time; S3. When the current system time reaches the warning reminder date, a maintenance warning signal will be automatically generated and the maintenance task will be distributed to the operation and maintenance personnel's accounts. S4. In response to the task backfilling request, collect the real-time geographical location and instrument images of the site, perform a comparison between the real-time geographical location and the preset installation location, and compare the equipment features identified by the image with the task document. S5. If and only if the location and equipment features pass the consistency comparison, extract the date information from the image to update the last verification date in the electronic ledger and recalculate the parameters for the next cycle.

[0015] This invention provides an intelligent operation and maintenance management system for electrical and thermal instruments. It has the following beneficial effects: 1. This invention uses an intelligent computing module to automatically calculate the deadline and warning window based on the equipment's scheduled inspection cycle and historical data, replacing the traditional manual statistical method. The system can automatically drive the equipment status from normal to warning and overdue status according to real time, and actively push maintenance work orders to operation and maintenance personnel, effectively avoiding the problem of instrument omission or overdue operation caused by human negligence, and ensuring the compliant use of production equipment.

[0016] 2. This invention utilizes a closed-loop verification module to enforce dual consistency verification based on geographical location and image features during the task submission stage. By comparing real-time coordinates with the installation location to confirm personnel presence, and by using OCR to identify the physical nameplate number and the task document to confirm the object's correctness, data entry is only allowed when both pass. This mechanism eliminates the possibility of false inspections and incorrect reporting through technical constraints, ensuring the authenticity and validity of on-site operation and maintenance data.

[0017] 3. This invention directly drives the ledger update and the generation of the next cycle through OCR recognition results, forming a data closed loop that does not require manual intervention and reducing the error rate of manual data entry. At the same time, combined with a dynamic permission management mechanism based on task flow, the system only grants maintenance personnel editing permissions for specific devices during work order execution and automatically reclaims or locks them after execution, effectively preventing the risk of data tampering during non-operation periods and improving the security of system data. Attached Figure Description

[0018] Figure 1 This is a schematic diagram of the intelligent operation and maintenance management system for electrical and thermal instruments of the present invention. Figure 2This is a flowchart illustrating the overall process of the intelligent operation and maintenance management method for electrical and thermal instruments according to the present invention. Detailed Implementation

[0019] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0020] Example: Please see the appendix Figure 1 This invention provides an intelligent operation and maintenance management system for electrical and thermal instruments, including: a database management module, an intelligent computing module, an early warning and task distribution module, a mobile operation and maintenance terminal module, and a closed-loop verification module. In addition, the system is also equipped with an access control module.

[0021] The database management module is used to build and store electronic ledger data for all electrical and thermal instruments in the plant. This module maintains a complete set of instrument information for the entire plant, with each instrument assigned a unique equipment identification code within the system. This equipment identification code establishes a one-to-one mapping with the physical labels affixed to the instrument and its certificate of conformity, resolving the issue of unclear correspondence between physical objects and the ledger. The equipment information data items recorded in the database management module include, but are not limited to, equipment name, specifications, physical location coordinates, equipment identification code, scheduled maintenance cycle, last maintenance date, next maintenance date, and responsible work team information. This module supports batch import and export of information according to preset data templates.

[0022] The intelligent computing module connects to the database management module to perform time-series-based logical calculations. Based on the equipment's scheduled maintenance cycle and last maintenance date stored in the database, this module uses a preset algorithm to calculate the next maintenance date and warning reminder date for each instrument. The intelligent computing module has a timed polling mechanism that compares the current system time with the warning reminder date daily to identify equipment that is about to expire or has already expired, and generates corresponding status signals.

[0023] The early warning and task distribution module responds to the status signals output by the intelligent computing module. When the system time reaches or exceeds the early warning reminder date, the module generates a corresponding maintenance task work order and pushes the work order notification information to the administrator accounts with the appropriate permissions. This module supports task assignment, allowing administrators to allocate the generated maintenance work orders to specific operations and maintenance personnel accounts, realizing the task flow from early warning to execution.

[0024] The mobile maintenance terminal module runs on mobile smart devices, serving as the front-end interface for user interaction with the system. This module supports user login, fuzzy search for instrument information, receiving work orders, and entering on-site maintenance data. The mobile maintenance terminal module integrates a hardware access interface, used to invoke the mobile device's camera for image acquisition and to access the positioning device to obtain current geographic location data during operation.

[0025] The closed-loop verification module is used to logically verify the authenticity of on-site maintenance data. Before maintenance personnel submit maintenance records via the mobile maintenance terminal module, the closed-loop verification module receives collected image and location data. This module performs optical character recognition (OCR) processing to extract key features and compares the recognition results with pre-stored information in the database management module, while also comparing the real-time location with the registered installation location. Only when both image features and location information simultaneously meet preset consistency conditions is the closed-loop verification module allowed to update the device status and date information in the database management module, completing the closed-loop maintenance process.

[0026] The access control module is used to verify the operation permissions of different users. This module divides user roles into team management permissions and maintenance personnel permissions. Team management permissions grant editing rights to all information within the database management module and scheduling rights to the alert and task distribution module; maintenance personnel permissions only grant viewing functions and editing rights to the information corresponding to assigned tasks in the mobile maintenance terminal module.

[0027] With the collaborative operation of the aforementioned systems, full-process management was achieved, from equipment ledger establishment, periodic monitoring, task assignment, on-site dual verification to data closure. The system provides data benchmarks through the database management module, drives maintenance plans through the intelligent computing module, and enforces the standardization of on-site operations through the closed-loop verification module, ensuring the authenticity of maintenance data and the timeliness of ledger updates.

[0028] In the implementation process, the database management module serves as the core data foundation of the entire intelligent operation and maintenance system, responsible for building a digital model of all electrical and thermal instruments in the plant. This module not only provides data storage functions, but more importantly, it establishes a unique identification mapping system connecting physical equipment and digital information, providing a logical foundation for subsequent intelligent calculations and closed-loop verification.

[0029] Establish standardized equipment data models.

[0030] The database management module uses relational or non-relational database technologies to build an equipment information database. This database is used for any instrument or device within the power plant. The system abstracts it into a multidimensional data set. This dataset It contains four core subsets, represented as follows: ; in: This represents a subset of identity identifiers, containing globally unique device identifiers within the system. and the factory serial number; This represents a subset of attribute descriptions, including the device name, specifications, accuracy class, and measurement range. Represents a subset of spatial locations, including the physical area code where the equipment is installed. And specific location data; for outdoor devices, the location data is geographic location coordinates. For indoor or underground devices, the positioning data is the corresponding Bluetooth beacon identifier. ; This represents a subset of time parameters, including the equipment's scheduled maintenance cycle. Last inspection date Next inspection date and the date of the early warning reminder .

[0031] The basic database construction technologies mentioned above, such as the definition of table structure, the creation of indexes, and the addition, deletion, modification, and query operations of data, are mature technologies in the field of computer data management. Those skilled in the art can choose database management systems such as Oracle, MySQL, or PostgreSQL to implement them according to actual needs.

[0032] Generate a globally unique device identifier and establish a physical mapping.

[0033] To address the issues of inconsistent, duplicate, or missing device serial numbers in traditional management systems, the database management module incorporates built-in coding rules. Instead of a single serial number, the system uses a combined coding method to generate device identification codes. The encoding rules follow the logic below: ; in, The area code representing the unit or workshop to which it belongs. Represents the instrument type code. This is the sequentially incrementing code for this type of device within this region. Functions for string concatenation or hashing.

[0034] In generation Subsequently, the system calls the label printing interface to generate a machine-readable graphic code containing the identification information. This graphic code is then made into a high-temperature resistant and corrosion-resistant physical label, which is affixed to a prominent position on the instrument and on the calibration certificate. Thus, the virtual data in the database... A unique correspondence was established with the physical entity on site, ensuring that when the graphic code is scanned by a mobile terminal, the corresponding unique record in the database can be accurately indexed.

[0035] Historical data cleaning and initial data entry.

[0036] In the initial stage of system deployment, the database management module provides a batch data processing interface. For existing Excel ledgers or data from the old system, the module performs format conversion and cleaning procedures. For each entered record, the system automatically verifies its integrity, especially for… and These two key parameters undergo non-empty and format validity checks. If a data item is missing, the system marks the record as pending completion and temporarily withholds it from the subsequent intelligent calculation process until maintenance personnel complete the information. After initialization, the database management module generates a real-time dynamic electronic ledger of all instruments in the plant, ready to respond to data call requests from the intelligent calculation module at any time.

[0037] The intelligent computing module, as the system's logical operation unit, is responsible for real-time simulation and monitoring of the lifecycle status of all instruments in the plant. This module operates without manual intervention, dynamically updating the maintenance schedule for each device using a pre-set time-series algorithm, and driving state transitions based on real-time data.

[0038] Automatic calculation of the expiration date of the verification period.

[0039] The intelligent computing module responds to data update events in the database management module or reads device information at a preset frequency. For any instrument in operation, the module extracts its last calibration date. and the prescribed inspection cycle Based on the definition of validity period in the metrological management regulations, the module calculates the next verification date for the equipment. The calculation logic is as follows: ; in, The date of issuance of the previous verification certificate or the date of completion of on-site work; The effective duration is set according to the verification procedure, in days; subtracting one day ensures that new verification work is completed on the last day before the end of the current cycle, thus guaranteeing the continuity of verification certificates on the timeline and avoiding gaps in verification coverage. The calculated... The corresponding fields are written back to the database as the reference time point for subsequent status judgment.

[0040] Dynamic setting of warning time threshold.

[0041] To allow sufficient buffer time for task scheduling and on-site operations for maintenance teams, the intelligent computing module incorporates an early warning lead time parameter. This parameter supports system-level configuration and is set to 5 days by default. The module is based on a baseline time point. Calculate the early warning reminder date by working backwards The calculation formula is: ; The time threshold for equipment to transition from normal operation to a maintenance alert state is defined. This can be achieved by adjusting... The system can adapt to management needs of varying urgency levels; for example, it can increase the value for core instruments on the critical path. In order to extend the early warning window period.

[0042] Time-driven state monitoring and signal triggering.

[0043] The intelligent computing module is configured with a background daemon or scheduled task service, which performs a full scan once a day. During the scan, the module obtains the server's current system date. And each device in the database is matched one by one. and Perform numerical comparison.

[0044] The comparison logic follows the following state machine rules: when When the device is determined to be within a normal cycle, the system maintains its current state. when When the device is determined to be in a critical warning period, the module immediately generates a warning trigger signal and updates the device's real-time status flag to pending verification. when When the device is deemed to have expired, the module generates an expired alarm signal and updates the status flag to "expired and not inspected".

[0045] The generated warning trigger signal includes the device identification code and the corresponding deadline information. This signal is transmitted as input to the warning and task distribution module, thereby initiating the subsequent work order workflow. The underlying implementation technologies for scheduled tasks, such as LinuxCron or WindowsTaskScheduler, are common technologies in the field of computer background services.

[0046] The early warning and task distribution module and the access control module interact closely through data exchange, enabling an orderly flow of maintenance tasks from automatic system generation to manual execution. This process, based on a pre-defined role-based access control model, ensures the accuracy of information transmission and the security of operations.

[0047] Build a role-based hierarchical permission system.

[0048] The access control module maintains a user role and permission mapping table at the system's underlying level. The system predefines two core roles: team management permissions and maintenance personnel permissions. For team management permissions, the system grants them read-write access to all equipment records in the database, the right to create and assign work orders, and the right to view an overview of the status of all equipment in the plant. For maintenance personnel permissions, the system adopts the principle of least privilege, initially granting them only read-only access to public equipment information; only when a specific work order is assigned to that account is the system dynamically granted the right to edit the maintenance information of the equipment associated with that specific work order. This permission isolation mechanism effectively prevents data tampering caused by accidental operations by unauthorized personnel.

[0049] Work order-based encapsulation and targeted delivery of early warning signals.

[0050] The early warning and task distribution module is equipped with a message listening interface to receive early warning trigger signals from the intelligent computing module in real time. Once an early warning signal containing a device identification code is received, the module immediately instantiates a maintenance work order object in the task database. This work order object contains a unique work order number, the associated device identification code, the due date, and the current status.

[0051] Subsequently, the module queries the permission management module, retrieves a list of all user IDs with team management permissions, and calls the mobile application platform's push notification interface to send work order notifications to all users in the list. The notification content directly displays the device name, installation location, and remaining validity period, ensuring that administrators can obtain key information on their mobile devices without opening the application.

[0052] Dynamic assignment of tasks and permissions.

[0053] In response to task distribution operations performed by users with team management permissions on mobile terminals, the alert and task distribution module executes work order update logic. Administrators select a specific work order from the pending assignment list and choose an executor from the maintenance personnel list, submitting the assignment instruction. Upon receiving this instruction, the module performs two synchronous operations: first, it updates the current status of the work order object to "pending execution" and fills the executor ID field with the selected maintenance personnel ID; second, it triggers the dynamic authorization mechanism of the permission management module, temporarily granting the executor account editing permissions for the devices associated with the work order.

[0054] Differentiated view display and task locking.

[0055] When maintenance personnel log in to the mobile maintenance terminal, the system queries the task database based on their account ID. The mobile terminal interface only displays the list of work orders under that account that are in the "pending execution" state, filtering out other tasks not assigned to that user, thus achieving information isolation at the view level. Simultaneously, for work orders already in the "pending execution" state, the system locks their key attributes, prohibiting the executor from modifying basic ledger information other than verification results and on-site photos, ensuring the standardization of task execution. Through this collaborative mechanism, the system completes the process from algorithmic alerts to the specific execution of tasks by designated personnel.

[0056] The mobile operation and maintenance terminal module runs on an industrial-grade handheld terminal or a general-purpose smart mobile device. Serving as the interaction medium connecting the physical environment on-site and the backend database system, it functions as both a data acquisition platform and a human-machine interface. Built on a mobile application development framework, this module integrates multimodal data acquisition interfaces to support the digital recording of on-site operations.

[0057] Session establishment and task data synchronization.

[0058] The mobile maintenance terminal module is equipped with a secure login component, supporting authentication through the enterprise's internal account system. After logging in, the terminal establishes an encrypted communication link with the server via a wireless network. The module automatically initiates a data synchronization request, retrieving the list of pending work orders associated with the current account and related cached basic equipment information from the alert and task distribution module. In industrial sites with poor network signals, the module supports an offline caching mode, allowing critical ledger data from the server to be downloaded to a local SQLite database, ensuring that maintenance personnel can still view equipment parameters, installation locations, and historical calibration records even in environments without network access.

[0059] Device retrieval based on fuzzy matching.

[0060] To address the difficulties in finding equipment due to worn labeling or lengthy task lists, the mobile maintenance terminal module incorporates a fuzzy search engine. This engine uses an inverted index built into the local cache or server-side database to support multi-keyword searches based on fields such as device name, installation location, and device number. Responding to imprecise query strings entered by the user, the module executes a character matching algorithm to quickly filter out matching device records and display them in a list format. This feature allows maintenance personnel to quickly access the electronic ledgers of any instrument and verify equipment status even in non-task-assigned scenarios.

[0061] Hardware acquisition of multi-source voucher data on site.

[0062] When executing a specific maintenance work order, the mobile maintenance terminal module automatically calls the underlying hardware interface of the mobile device to collect objective data, which serves as the input for subsequent closed-loop verification. Specifically, when maintenance personnel enter the task feedback interface, the module activates the positioning device through the operating system's location service API, continuously monitoring and acquiring the current geographic location coordinates. Simultaneously, the module activates the camera device via the multimedia interface, providing a dedicated shooting interface. This interface overlays guide lines within the viewfinder, instructing maintenance personnel to photograph the instrument nameplate and the newly affixed calibration certificate. After capturing the image stream, the module automatically performs image quality checks, discarding blurry or heavily reflective images and selecting only those that meet the requirements. Compress and encode the data, along with the location coordinates. These data are packaged together in the task submission message. This process ensures the authenticity and immutability of the field operation data. The positioning API calls and camera control technologies mentioned above are common techniques in the field of mobile application development, and those skilled in the art can implement them based on Android or iOS development documentation.

[0063] The closed-loop verification module is deployed on the server or runs as a local logic plug-in on the mobile terminal. This module performs multi-dimensional joint verification based on spatial location, image features and ledger information, and eliminates human input errors and false maintenance behavior through technical means.

[0064] Verification of physical constraints on spatial location.

[0065] The closed-loop verification module receives data including real-time on-site coordinates uploaded by the mobile operation and maintenance terminal module. Task submission message with image data.

[0066] For outdoor equipment, the module first extracts the real-time coordinates from the message. It also retrieves the preset installation location coordinates of the instrument corresponding to the task from the database management module. The module defines a spatial distance calculation function. This function calculates the geographical distance between two points based on an ellipsoidal model. The validation logic is based on a preset spatial error threshold. Perform the following inequality: ; If the above inequality holds, the system determines that the maintenance personnel have arrived at the designated physical work area, and the location verification passes. For indoor or underground shielded areas, the real-time coordinates... This provides the unique identifier and received signal strength indication for the Bluetooth beacon scanned by the mobile terminal. At this point, the verification logic changes to: determining whether the scanned identifier matches the device's identifier in the database. If the beacon IDs stored in the subset are consistent and the RSSI value is greater than the preset signal strength threshold, it is confirmed that the terminal is within the effective coverage area.

[0067] If the above verification fails, the system determines that the current location deviates from the valid area, terminates the subsequent data processing flow, and returns an error code indicating a location error to the mobile terminal.

[0068] Voucher feature extraction based on optical character recognition.

[0069] After the location verification passes, the closed-loop verification module verifies the image data in the message. The module performs analysis. It calls the embedded optical character recognition engine, first performing adaptive histogram equalization to enhance contrast, and then using the Canny operator for edge detection to locate the rectangular outlines of the instrument nameplate and certificate of conformity. Subsequently, the module executes character segmentation and recognition algorithms within the located region of interest to extract the unstructured text stream from the image. The module then uses regular expression matching technology to filter out two key features from the text stream: Image recognition device serial number : Corresponds to the coded string on the instrument nameplate or label; Image recognition verification date This corresponds to the valid date string printed or handwritten on the certificate of conformity. If the confidence level output by the OCR engine is lower than the preset threshold, the module will trigger a reshoot instruction, requiring the user to adjust the shooting angle or lighting.

[0070] Interlocking determination of identity and logic.

[0071] The closed-loop verification module performs data consistency comparison. The module obtains the database device identification code associated with the current task order. And construct Boolean logic judgments: ; This step is used to confirm that the photographed physical evidence belongs to the specific instrument currently requiring maintenance. Only when... The module only considers the source of the maintenance data valid when the value of is true. If empty or with If there is a mismatch, the module will determine that the verification has failed, lock the submission channel, and prompt the maintenance personnel to check the equipment.

[0072] Automatic data backfilling and status closure.

[0073] Once both location verification and logical interlock checks pass, the closed-loop verification module releases the data write lock. The module directly retrieves the date identified from the image. As the valid verification date, it is automatically written into the "Last Verification Date" field of the device in the database management module, and manual editing of this field is prohibited during the current session, thus ensuring consistency between the electronic ledger and the physical certificate of conformity. After the data update is completed, the module triggers the intelligent calculation module to immediately execute the recalculation logic, generating the scheduling plan for the next cycle based on the new last verification date, and updating the current work order status to "completed". Simultaneously, the module generates a record in the system log containing... , and The verification records enable a closed loop in the operation and maintenance process.

[0074] Please see the appendix Figure 2 A method for intelligent operation and maintenance management of electrical and thermal instruments includes the following steps: S1. Establish an electronic ledger for electrical and thermal instruments, assign a unique equipment identification code to each instrument, establish the mapping relationship between the equipment identification code and the physical instrument and the physical label of the certificate of conformity, and enter initial parameters including the physical location of the installation, the equipment maintenance cycle and the last maintenance date. S2. Based on the equipment's scheduled maintenance cycle and the last maintenance date, calculate the next maintenance date and early warning reminder date for each instrument, and monitor in real time whether the current system time has reached the early warning reminder date; S3. When the current system time reaches the warning reminder date, a maintenance warning signal is generated and pushed to the account with team management authority. In response to the operation instructions of the team management authority account, the maintenance task is distributed to the designated operation and maintenance personnel account. S4. In response to the task backfilling request initiated by the maintenance personnel account on the mobile terminal, call the positioning device to obtain the real-time geographical location and call the camera device to collect images of the instrument and certificate of conformity, perform a consistency comparison between the real-time geographical location and the physical installation location, and a consistency comparison between the image recognition features and the device identification code. S5. If and only if the real-time geographic location and the image recognition features both pass the consistency comparison, extract the date information in the image to update the last verification date, and recalculate the next verification date and warning reminder date for the next cycle based on the updated data to achieve task closure.

[0075] The method in this embodiment can be used to execute the above method embodiments, and its principle and technical effect are similar, so it will not be described again here.

Claims

1. An intelligent operation and maintenance management system for electrical and thermal instruments, characterized in that, include: The database management module is used to build digital models of instruments and equipment, store multi-dimensional data sets including identification, attribute description, spatial location and time parameters, and establish a unique correspondence between physical equipment and database records; The intelligent calculation module is used to calculate the verification cycle deadline and early warning reminder date based on the time parameters, and to monitor the equipment status in real time according to the current system time to generate an early warning trigger signal; The early warning and task distribution module is used to generate a maintenance work order in response to the early warning trigger signal and distribute the maintenance work order to a designated account; The permission management module is used to maintain user role permissions and dynamically grant editing permissions for specific devices in response to work order distribution operations; The mobile operation and maintenance terminal module is used to display work orders to be executed on mobile devices and call the underlying hardware interface of the mobile devices to collect real-time geographical coordinates and instrument images on site. The closed-loop verification module is used to receive the real-time geographic location coordinates and the actual image of the instrument, perform distance determination based on spatial location and consistency verification based on image features, and automatically update the time parameters in the database management module after the verification is passed.

2. The intelligent operation and maintenance management system for electrical and thermal instruments according to claim 1, characterized in that, The unique correspondence constructed by the database management module is achieved in the following way: a globally unique device identification code is generated based on the device's region code, instrument type code, and sequentially increasing code; a machine-readable graphic code label containing the device identification code is generated, and the label is pasted on the surface of the instrument, so that the multidimensional data set in the database is associated with the physical entity on site.

3. The intelligent operation and maintenance management system for electrical and thermal instruments according to claim 1, characterized in that, The logic of the intelligent computing module for calculating the expiration date of the verification cycle is as follows: obtain the last verification date and the verification cycle of the equipment, add the last verification date to the verification cycle and subtract one day to obtain the next verification date; The logic of the intelligent computing module in calculating the early warning reminder date is as follows: obtain a preset early warning lead time parameter, subtract the early warning lead time parameter from the next verification date to obtain the early warning reminder date.

4. The intelligent operation and maintenance management system for electrical and thermal instruments according to claim 3, characterized in that, The intelligent computing module monitors the device status in real time in the following specific way: Configure a scheduled task service to scan all device data and obtain the current system date; When the current system date falls between the warning reminder date and the next inspection date, the device is determined to have entered the warning period, the warning trigger signal is generated, and the device status is updated to pending inspection. When the current system date is later than the next inspection date, an overdue alarm signal is generated and the device status is updated to overdue inspection.

5. The intelligent operation and maintenance management system for electrical and thermal instruments according to claim 1, characterized in that, The permission management module executes the following dynamic authorization logic: In the initial state, the operation and maintenance personnel account is granted read-only access rights; when the early warning and task distribution module assigns the maintenance work order to the operation and maintenance personnel account, the account is temporarily granted the right to edit the maintenance information of the equipment associated with the work order; at the same time, when the work order is in the pending execution state, the modification rights of basic ledger information other than the verification results and on-site photos are locked.

6. The intelligent operation and maintenance management system for electrical and thermal instruments according to claim 1, characterized in that, The mobile maintenance terminal module collects real-time geographic location coordinates and instrument images on-site in the following way: On the task feedback interface, it directly calls the positioning service interface to obtain the current latitude, longitude and accuracy radius, and simultaneously calls the multimedia interface to control the camera device to capture images including the instrument nameplate and calibration certificate. The images are then compressed and encoded and packaged with the latitude and longitude in the task submission message.

7. The intelligent operation and maintenance management system for electrical and thermal instruments according to claim 6, characterized in that, The specific method by which the closed-loop verification module performs distance determination based on spatial location is as follows: Extract the real-time geographic location coordinates from the task submission message, and retrieve the preset installation location coordinates of the corresponding instrument from the database management module; Calculate the geographical distance between two points based on an ellipsoidal model; Determine whether the geographical distance is less than or equal to a preset spatial error threshold; If yes, the location verification is considered successful; otherwise, the location is considered abnormal and data submission is rejected.

8. The intelligent operation and maintenance management system for electrical and thermal instruments according to claim 7, characterized in that, When indoors or in a signal-blocked area, the real-time geographic location coordinates include the unique identifier of the Bluetooth beacon scanned by the mobile device and the received signal strength indication; The verification logic of the closed-loop verification module is converted into: determining whether the unique identifier of the scanned Bluetooth beacon is consistent with the beacon ID pre-stored in the database, and whether the received signal strength indicator is greater than the preset signal strength threshold.

9. The intelligent operation and maintenance management system for electrical and thermal instruments according to claim 1, characterized in that, The specific method by which the closed-loop verification module performs consistency verification and automatic updates based on image features is as follows: Optical character recognition is performed on the physical image of the instrument to extract the image recognition device number and the image recognition verification date; Obtain the database device identification code associated with the current maintenance work order, and determine whether the image recognition device number matches the database device identification code; Data updates are allowed only when both are consistent and the location verification passes. The image recognition verification date is automatically written as valid data into the last verification date field of the database management module, and manual modification of this field is prohibited.

10. A method for intelligent operation and maintenance management of electrical and thermal instruments, wherein the intelligent operation and maintenance management system for electrical and thermal instruments according to any one of claims 1-9 is characterized in that, Includes the following steps: S1. Establish an electronic ledger for electrical and thermal instruments, assign globally unique equipment identification codes, and establish physical correspondences. S2. Automatically calculate the next calibration date and early warning reminder date based on the equipment's historical calibration data and scheduled calibration cycle, and monitor the current system time in real time; S3. When the current system time reaches the warning reminder date, a maintenance warning signal will be automatically generated and the maintenance task will be distributed to the operation and maintenance personnel's accounts. S4. In response to the task backfilling request, collect the real-time geographical location and instrument images of the site, perform a comparison between the real-time geographical location and the preset installation location, and compare the equipment features identified by the image with the task document. S5. If and only if the location and equipment features pass the consistency comparison, extract the date information from the image to update the last verification date in the electronic ledger and recalculate the parameters for the next cycle.

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