Enterprise production safety operation and maintenance operation listing and locking intelligent management system

Abstract

The invention discloses an enterprise production safety operation and maintenance operation listing and locking intelligent management system. The system is composed of a management platform, a mobile terminal, an intelligent lock set and an evidence storage module. The management platform is responsible for creating an isolation job task, tracking the state and removing the right after timeout; the mobile terminal sequentially implements face, fingerprint and voiceprint multi-factor identity verification, and generates a locking or unlocking instruction after completing geo-fence verification; the intelligent lock group comprises a Bluetooth lock, a fingerprint lock and a mechanical lock, and is used for executing unlocking and locking operations and collecting operation logs and on-site images; and the evidence storage module performs hash abstract on the event data during task creation, lock operation and exception repair and asynchronously writes the event data into the block chain. Intelligent monitoring and management of three risk factors of users, equipment and operation environment in the whole process of production operation and maintenance operation are realized, and the method is suitable for safety management and control of high-risk production operation places, so that the safety, compliance and management efficiency of production and maintenance operation are remarkably improved.

Description

Technical Field

[0001] The present invention belongs to the field of industrial safety management and intelligent control technology, and specifically relates to an intelligent management system for locking out enterprise production safety operations and maintenance operations. Background Art

[0002] In industrial production and equipment maintenance, to ensure the safety of personnel and equipment, lockout (LOTO) is often required before high-risk operations such as repairs and inspections to ensure energy isolation and controllable operations. However, existing lockout management methods mostly rely on manual operations, paper records, and mechanical keys, which have many shortcomings: On the one hand, traditional locks rely on manual authorization and physical management, lack identity authentication mechanisms, and are prone to abuse of operating permissions and potential accidents; on the other hand, the division of operating areas and the allocation of personnel permissions are often dominated by humans, lacking systematic support, making it difficult to achieve effective supervision and coordination; at the same time, isolation status and operation progress rely on manual reporting, which lacks real-time and accuracy, and is not conducive to remote supervision and accident tracing.

[0003] In recent years, although some companies have tried to introduce IoT devices such as Bluetooth locks and smart terminals, most of them are single-point technology integrations, failing to achieve systematic regional modeling, authority role management, task scheduling, status monitoring and risk assessment. They lack digital closed-loop management of the entire operation process and are unable to meet the comprehensive requirements of modern high-safety production scenarios for refinement, security and intelligence.

[0004] Therefore, there is an urgent need to provide a tagout and lockout intelligent management system that integrates technologies such as mobile Internet, biometrics, intelligent communication, risk prediction and data encryption to achieve visualization, controllability and traceability of the isolation operation process, thereby improving the safety and intelligence level of the industrial maintenance operation process.

[0005] Therefore, there is an urgent need for a software / hardware collaborative tagout and locking system that integrates a management platform, mobile terminals, smart locks, risk assessment, and security evidence storage to achieve standardization, digitization, intelligence, and traceability of operating processes, thereby significantly improving the level of industrial production safety management. Summary of the Invention

[0006] This application provides an intelligent management system for tagout and lockout of enterprise production safety operation and maintenance work, so as to solve the problems in the existing tagout and lockout system such as inability to dynamically revoke tasks, single identity and location verification, decentralized management of multiple locks, easy tampering of operation data and lack of risk prediction capabilities, and realize intelligent monitoring and management of the three major risk factors of users, equipment and working environment throughout the production operation and maintenance work.

[0007] In a first aspect, the present application provides an intelligent management system for locking out production safety operations and maintenance operations in an enterprise, the system comprising: A management platform for creating isolated job tasks and assigning unique identifiers, tracking task status, and revoking the corresponding user's operation permissions when the job task times out and is not started; A mobile terminal, configured to receive job tasks issued by the management platform and perform multi-factor authentication and geo-fence verification; An intelligent lock set, configured to respond to the unlocking and locking instructions issued by the mobile terminal and collect the operating status, the intelligent lock set including a Bluetooth lock, a fingerprint lock, and a mechanical lock; The evidence storage module is used to perform hash processing and write to the blockchain when task creation, smart lock group operation and abnormal repair reporting events occur.

[0008] Optionally, the management platform is used to: Initializing the task record to a pending state upon receiving the creation request for the job task; After receiving a confirmation message of task receipt from the mobile terminal, converting the task record into a processing state; After receiving the task completion notification from the mobile terminal, the task record is updated to a completed state, and the operation authority of the corresponding user is restored.

[0009] Optionally, after receiving the job task from the management platform, the mobile terminal performs the following steps: Calling facial recognition, fingerprint recognition and voiceprint recognition algorithms for multi-factor authentication; After identity verification is passed, geo-fence verification is performed in combination with the operation time window; Generate and issue an unlocking and closing instruction based on the verification result, wherein the unlocking and closing instruction includes a locking or unlocking instruction.

[0010] Optionally, after the Bluetooth lock responds to the unlocking and locking instructions sent by the mobile terminal, the following steps are performed: Establish a BLE connection and dynamically adjust communication parameters based on signal strength and noise level; Perform unlocking and locking actions and record operation time, operation results and key identification; Cooperate with the camera module of the mobile terminal to collect on-site images, and upload the on-site images together with the operation log. The on-site images include the lock body, the hanging sign and the area identification.

[0011] Optionally, after the fingerprint lock responds to the unlocking and locking instructions issued by the mobile terminal, the following steps are performed: Calling the fingerprint recognition algorithm to verify the operator's identity; After the number of consecutive recognition failures reaches the preset number, a temporary lock is triggered and an alarm is sent to the management platform; After the release condition is met, the lock function of the fingerprint lock is restored and a log of the entire process is recorded.

[0012] Optionally, after the mechanical lock responds to the unlocking and locking instruction issued by the mobile terminal, the following steps are performed: The mobile terminal scans the QR code of the mechanical lock and obtains the lock file; The camera module of the mobile terminal collects on-site images; Perform feature extraction and template matching verification on the on-site image, and upload the verification results and the on-site image to archive.

[0013] Optionally, the system further includes an abnormality reporting module, which is used to: Receiving the fault type and fault picture submitted by the user on the mobile terminal; Generate event messages based on fault information and push them to the management platform; Generate corresponding maintenance work orders in the management platform and track the processing progress.

[0014] Optionally, the management platform is further configured with a lock information management function for: Import spreadsheet files to batch create or update lock information; Dynamically refresh the factory floor plan layer and identify the operating status of each lock with different colors; According to the changes in the operating status of each lock, an early warning is triggered and the user is notified.

[0015] Optionally, the evidence storage module performs hash processing and writes it into the blockchain when a task is created, a smart lock group is operated, or an abnormal repair event occurs, and performs the following steps: Construct a data summary in the order of events and call the hash algorithm to generate a summary value; Writing the summary value and related metadata into the blockchain via asynchronous processing; After writing into the blockchain, the writing confirmation information is fed back to the management platform.

[0016] Optionally, the system further includes a risk trend prediction module, which is used to: Regularly extract historical job logs from the management platform and construct a time series data set; The prediction model is used to calculate the future risk level of each area, and isolation and dispatch recommendations are provided based on the prediction results. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the invention and, together with the description, serve to explain the principles of the invention.

[0018] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

[0019] One or more embodiments are exemplarily illustrated by pictures in the corresponding drawings. These exemplifications do not constitute limitations on the embodiments. Elements with the same reference numerals in the drawings are represented as similar elements. Unless otherwise stated, the figures in the drawings do not constitute proportional limitations.

[0020] Figure 1 A schematic diagram of the structure of an intelligent management system for locking out maintenance operations for enterprise production safety provided by an embodiment of the present application; Figure 2 This is a flowchart of the task operation on the mobile terminal side provided in the embodiment of the present application. DETAILED DESCRIPTION

[0021] To make the purpose, technical solutions, and advantages of the embodiments of this application more clear, the technical solutions in the embodiments of this application will be clearly and completely described below in conjunction with the drawings in the embodiments of this application. Obviously, the described embodiments are part of the embodiments of this application, not all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of this application.

[0022] The disclosure below provides many different embodiments or examples for implementing different configurations of the present invention. To simplify the disclosure of the present invention, the components and configurations of specific examples are described below. Of course, these are merely examples and are not intended to limit the present invention. In addition, the present invention may repeat reference numerals and / or letters in different examples. Such repetition is for the purpose of simplicity and clarity and does not in itself indicate the relationship between the various embodiments and / or configurations discussed.

[0023] like Figure 1 As shown, Figure 1 This is a schematic diagram of the structure of an intelligent management system for enterprise production safety operation and maintenance work lockout provided in an embodiment of the present application. The system 300 includes: The management platform 100 is used to create isolated job tasks and assign unique identifiers, track task status, and revoke the corresponding user's operation permissions when the job task times out and is not started; The mobile terminal 200 is used to receive the job tasks issued by the management platform and perform multi-factor authentication and geo-fence verification; A smart lock set 300, which is used to respond to the unlocking and locking instructions issued by the mobile terminal and collect the operating status. The smart lock set includes a Bluetooth lock, a fingerprint lock, and a mechanical lock; The evidence storage module 400 is used to perform hash processing and write into the blockchain when a task is created, a smart lock group is operated, or an abnormal repair event occurs.

[0024] The specific application of the enterprise production safety maintenance operation tag-out and lockout intelligent management system described in the present invention is described below in conjunction with the drawings and technical disclosure content. This embodiment is only used to illustrate the present invention and does not limit the scope of protection of the present invention.

[0025] The system is mainly composed of a management platform 100, a mobile terminal 200, a smart lock set 300 and an evidence storage module 400.

[0026] Management platform 100, isolated job task creation: the dispatcher uploads the job application information on the platform interface, and the system assigns a globally unique identifier (such as UUID) to each job.

[0027] Task Status Tracking: The platform maintains the status fields for each task record as "Pending," "Processing," and "Completed." When a task is created, it is in "Pending" status until a "Receive Confirmation" message is received from the mobile terminal 200, at which point the status is updated to "Processing." Upon receiving a "Completion Confirmation" message, the status is updated to "Completed," and the control authority over the task is restored to the relevant quarantined person.

[0028] Revocation of authority due to timeout: For tasks that have not been received for more than the preset time since the "pending" status, the system will automatically revoke the isolated person's operation authority for the task, and generate a "authority timeout" event and push it to the administrator for reallocation.

[0029] Mobile terminal 200, task reception and verification: The mobile terminal obtains task data issued by platform 100. After receiving the task, it automatically calls the face recognition module, fingerprint recognition module, and voiceprint recognition module in sequence to perform multi-factor authentication. After verification, it determines whether the device is within the authorized geofence.

[0030] Instruction issuance: Under the condition that all the above verifications are passed, the mobile terminal generates a lock or unlock instruction (including task ID, user ID, operation type) and sends it to the smart lock group 300 through an encrypted channel.

[0031] Smart lock set 300, including: Bluetooth lock 301: After receiving the BLE command from the mobile terminal 200, it dynamically adjusts the transmission power and retransmission parameters according to the signal strength and the surrounding noise level. After completing the unlocking and locking operation, it automatically reports the operation timestamp, command result and key ID to the platform 100.

[0032] Fingerprint lock 302: Before receiving the lock / unlock command, a built-in fingerprint comparison algorithm is called, and the lock control action is executed after the verification is passed; when the comparison fails multiple times in a row, it enters a temporary lock state, rejects all subsequent commands and sends an alarm message to the management platform 100, and returns to normal after the administrator's release conditions are met.

[0033] Mechanical lock 303: Equipped with a unique QR code identifier, any locking or unlocking operation requires the mobile terminal 200 to scan the QR code and capture an image of the scene. The system verifies through image processing that the lock body, the tag, and the area identification are all displayed in the image. Once the verification is passed, the operation certificate is uploaded.

[0034] Event hash processing of the evidence storage module 400: When a task is created, each time the smart lock group 300 is operated, and when an abnormal repair event is submitted by the user through the mobile terminal 200, the module 400 triggers the data summary calculation, calls the hash algorithm to generate a summary value, and forms a metadata record with the summary value together with the event timestamp, event type, and associated task ID.

[0035] All relevant data are written into the blockchain network through an asynchronous processing method. After the data is uploaded to the blockchain, a write confirmation receipt is generated. The receipt is fed back to the management platform 100 in real time and stored in the task log.

[0036] In this embodiment of the present application, the management platform also includes department role management, specifically including: creating a multi-level department structure, defining user roles (authorizer, quarantine officer, system administrator), and configuring user operation permissions (for example, authorizers can only create tasks, quarantine officers can only execute tasks). Authorizers can batch create quarantine tasks through a visual interface, associate work permit numbers, set task priorities and time windows, and automatically assign them to designated quarantine officer accounts.

[0037] Furthermore, the management platform is used to: Initializing the task record to a pending state upon receiving the creation request for the job task; After receiving a confirmation message of task receipt from the mobile terminal, converting the task record into a processing state; After receiving the task completion notification from the mobile terminal, the task record is updated to a completed state, and the operation authority of the corresponding user is restored.

[0038] During an enterprise's production safety maintenance operation, upon receiving a task creation request from a system administrator, the management platform first generates a task number and assigns a unique identifier (UUID). The task record is then written to the database, with the status field initially set to "pending." The targeted quarantined individual is notified via the system messaging service.

[0039] When the quarantined individual receives the task using a mobile device and actively clicks the "Accept Task" button to confirm their intention to execute it, the mobile device sends a task acceptance confirmation message (including key information such as the task number, work area, lock number, and authorized time range) to the management platform. After verifying the identity of the individual, the platform updates the task status field from "Pending" to "Processing" and records the time of receipt and the information of the person who executed it.

[0040] The mobile terminal then performs the specific isolation operation (such as locking / unlocking). Upon completion, it sends a task completion notification to the management platform, including the operation results, relevant logs, lock status data, and a photo as a proof of ownership. After receiving this notification and completing data verification, the management platform updates the task status to "Completed," restores the quarantined individual's permissions for other tasks, and removes the permissions associated with this task, ensuring a closed-loop, dynamic allocation of system permissions.

[0041] Through this task status conversion and authority control mechanism, the system can achieve clear task status tracking and real-time update of personnel authority throughout the entire isolation operation process, effectively preventing authority abuse and task legacy risks, and improving the standardization and security of overall operation management.

[0042] Furthermore, after receiving the task from the management platform, the mobile terminal performs the following steps: Calling facial recognition, fingerprint recognition and voiceprint recognition algorithms for multi-factor authentication; After identity verification is passed, geo-fence verification is performed in combination with the operation time window; Generate and issue an unlocking and closing instruction based on the verification result, wherein the unlocking and closing instruction includes a locking or unlocking instruction.

[0043] After the management platform assigns the task and sends the unique task identifier (TaskID) to the mobile terminal held by the quarantined person, the terminal enters the "Task Receive" interface. To ensure the exclusivity of the operation permissions and the compliance of the personnel's behavior, the mobile terminal performs the following operations in sequence: Multi-factor authentication: The mobile terminal first activates multiple biometric modules, including the front-facing camera, fingerprint reader, and microphone. The system then sequentially calls a facial recognition algorithm (e.g., based on the FaceNet model), a fingerprint comparison algorithm, and a voiceprint recognition model to collect and verify the user's facial image, fingerprint information, and voiceprint characteristics. Once all three authentication steps are successful, the system generates a temporary authentication token for subsequent authorization.

[0044] Geofence Verification: After verification, the terminal enters the location verification phase. The terminal simultaneously collects GNSS positioning data (for longitude and latitude), Wi-Fi RTT ranging data (for precise indoor positioning), and Bluetooth RSSI strength information (for signal signature matching near the lock). The system integrates these three types of positioning information and, using Kalman filtering and spatial matching algorithms, determines whether the user is within the pre-defined legal operating area (i.e., the "lock control area" set by the management platform).

[0045] If the fusion positioning result shows that the operator is located within the designated geographic fence of the target lock, the system considers the location verification valid; otherwise, it returns a prompt and terminates the operation process.

[0046] Generate and issue unlock and lock instructions: After the identity authentication and geo-fence verification are passed, the mobile terminal generates a control instruction. According to the current task type and the configuration rules of the management platform, the terminal selects the "lock" or "unlock" instruction and carries the necessary parameters such as the task ID, user ID, and lock ID. The instruction is sent to the target smart lock group through short-range communication methods such as BLE or NFC, and the control instruction and the sending timestamp are recorded. Through this process, the system realizes the dual confirmation of the operator's identity and spatial location, ensuring that the isolation operation is initiated by authorized personnel in the legal area, effectively preventing the risk of identity impersonation and remote unauthorized control, and ensuring the safety and traceability of production and maintenance operations.

[0047] Furthermore, after the Bluetooth lock responds to the unlocking and locking instructions sent by the mobile terminal, the following steps are performed: Establish a BLE connection and dynamically adjust communication parameters based on signal strength and noise level; Perform unlocking and locking actions and record operation time, operation results and key identification; Cooperate with the camera module of the mobile terminal to collect on-site images, and upload the on-site images together with the operation log. The on-site images include the lock body, the hanging sign and the area identification.

[0048] In this embodiment, the Bluetooth lock integrates a Bluetooth Low Energy (BLE) chip, supports two-way communication with the app, and features a built-in sensor to monitor the lock's open and close status in real time. The battery life is ≥6 months. Upon receiving an unlock or lock command from a mobile terminal, the Bluetooth lock in the enterprise production safety maintenance tagout system first establishes a communication connection with the mobile terminal via the BLE (Bluetooth Low Energy) module. The system dynamically adjusts BLE communication parameters, such as the connection interval, transmission power, and MTU size, based on the signal strength (RSSI) and noise level in the field environment to ensure stable command transmission and optimal energy consumption.

[0049] After communication is established and parameter adjustments are complete, the Bluetooth lock performs the corresponding mechanical action (unlocking or locking). For example, after clicking the "Unlock / Unlock" button, the phone's Bluetooth module is paired with the lock. After successful communication, the command is sent to trigger the lock's action. The operation timestamp, execution status (such as "locked" or "unlocked"), and the electronic key ID used to identify the operator are also recorded. This log information is stored in the Bluetooth lock's local cache and simultaneously uploaded to the management platform.

[0050] Upon completion of the lock operation, the mobile terminal triggers the camera module to capture an image of the scene. This image must be clear and include three key visual elements: the lock itself, which identifies the lock number; the associated sign, which displays the current operation type and isolation status; and area signs or background elements to assist in locating the operation location. The captured image is verified for clarity and structural integrity using a feature extraction algorithm.

[0051] Finally, the mobile terminal binds the on-site image with the operation log data and uploads them to the management platform and evidence storage module in an encrypted manner, ensuring that every Bluetooth lock operation can be traced, audited and filed for reference in both pictures and texts, meeting the OSHA regulations on visual compliance requirements for the tagout and lockout operation process.

[0052] Furthermore, after the fingerprint lock responds to the unlocking and locking instructions issued by the mobile terminal, the following steps are performed: Calling the fingerprint recognition algorithm to verify the operator's identity; After the number of consecutive recognition failures reaches the preset number, a temporary lock is triggered and an alarm is sent to the management platform; After the release condition is met, the lock function of the fingerprint lock is restored and a log of the entire process is recorded.

[0053] In this embodiment, the fingerprint lock utilizes biometric technology, supports multiple fingerprint entry and permission tiering, and operation records are stored locally on the chip and synchronized to the app. Upon receiving a lock / tagout command from a mobile terminal, the fingerprint lock in the Enterprise Production Safety Maintenance Operation Lockout Intelligent Management System activates its built-in biometric module for identity verification, ensuring the operator is an authorized user and ensuring the safety and compliance of isolation operations.

[0054] Specifically, the fingerprint lock uses a capacitive sensor to capture the operator's fingerprint image, extracts feature points, and then uses a locally deployed fingerprint recognition algorithm to compare it with pre-stored permission fingerprint data. The system utilizes a hierarchical multi-fingerprint permission management mechanism. During local verification, the system prioritizes the permission data of the isolated person associated with the current lock's task. If verification passes, the lock is unlocked or locked, and a corresponding operation log is generated, including the operation time, user ID, command type, fingerprint number, and recognition status.

[0055] If the number of consecutive recognition failures during operation reaches the system-set threshold (for example, if account and password login is supported and a lockout mechanism is set after five incorrect entries), the administrator must reset permissions through the backend. A "Forgot Password" shortcut is provided, and the administrator's contact information is linked to facilitate password reset. This information is sent to the management platform via the BLE module, and abnormal lock status is highlighted in red on the status monitoring dashboard. The status monitoring dashboard dynamically displays the real-time status of all locks (such as "online," "offline," and "faulty"), allowing remote diagnosis or repair dispatch for abnormal locks. Upon receiving this type of alert, the management platform automatically pops up an event handling interface for authorized personnel to review and handle. Once the backend or authorized personnel determine that the risk has been resolved, such as by verifying a new fingerprint or re-authenticating the authorized identity, the platform sends an unlock command to the fingerprint lock, which then releases the temporary lock state and restores the unlocking and closing functions.

[0056] Key nodes of the entire operation process (such as verification results, alarm information, and release actions) generate digital operation logs and upload them to the blockchain in an encrypted manner, ensuring that each exception handling is traceable and the data cannot be tampered with, in line with the requirements of this system's biometric lock security policy.

[0057] Furthermore, after the mechanical lock responds to the unlocking and locking instruction issued by the mobile terminal, the following steps are performed: The mobile terminal scans the QR code of the mechanical lock and obtains the lock file; The camera module of the mobile terminal collects on-site images; Perform feature extraction and template matching verification on the on-site image, and upload the verification results and the on-site image to archive.

[0058] In this embodiment, the mechanical lock is equipped with a unique QR code identification tag, which can be scanned via the app to link to the lock profile. It also supports "two-factor authentication" when used with a Bluetooth key. When a mechanical lock in the intelligent lockout management system for enterprise production safety and maintenance operations responds to an unlock or lock command from a mobile terminal, the system uses a mobile terminal to manually confirm the operation and retain data, as it lacks inherent communication capabilities or an electronic identification module.

[0059] The specific process is as follows: First, the operator performs the actual locking or unlocking operation on-site according to the task issued by the management platform. Then, they use their mobile terminal to call the built-in code scanning module to scan the unique QR code preset on the mechanical lock. This QR code is a unique physical identifier generated by the system, which contains the lock ID, region code, and device ownership information. The system uses this QR code to associate and match pre-registered lock files in the database, quickly retrieving the mechanical lock's historical records and binding them to the current task.

[0060] The mobile device then activates its camera module to capture an image of the lock's location. The captured image must fully capture three key elements: the lock itself (for identifying lock type and status), the signage (indicating the operation type, responsible person, and time), and area identifiers (such as wall numbers and landmark stickers) to assist in verifying location and access rights.

[0061] After image acquisition, the system invokes the image processing module to execute a feature extraction algorithm, performing template matching and position correction on the lock structure, tag pattern, and text in the image to determine image integrity and authenticity. Once verified, the image and related identification data (lock ID, capture time, task number, etc.) are combined into an image evidence entry.

[0062] Finally, the entry is encrypted and uploaded to the management platform. Simultaneously, the system's evidence storage module performs hash digest processing and writes it to the blockchain evidence storage channel, ensuring that every mechanical lock operation is recorded with authenticity, completeness, and auditability, meeting safety and regulatory compliance requirements and accident tracing needs. Completed tasks are automatically archived, supported by searches based on time and task type, and displaying a complete operation log. Furthermore, the system also includes an abnormality reporting module for: Receiving the fault type and fault picture submitted by the user on the mobile terminal; Generate event messages based on fault information and push them to the management platform; Generate corresponding maintenance work orders in the management platform and track the processing progress.

[0063] In this embodiment, the enterprise production safety maintenance operation tag-out and lock-out intelligent management system is configured with an abnormality reporting module to realize the rapid reporting and closed-loop processing of on-site lock abnormalities, improve fault response efficiency, and avoid the safe execution of isolation operations affected by lock problems.

[0064] Specifically, when on-site operators discover issues such as Bluetooth lock communication anomalies, mechanical lock lag, or fingerprint lock recognition failure while locking or unlocking using a mobile device, they can use the app's built-in "Abnormal Repair" portal to describe the problem and upload a video or image of the scene. The image must include the lock itself and the fault status. The repair information will be pushed to the PC management backend in real time. Standard options include "Bluetooth module abnormality," "mechanical structure abnormality," and "fingerprint recognition failure," while also allowing users to customize supplementary explanations.

[0065] Once submitted, the exception reporting module structures the fault information into an event message and pushes it to the management platform via an asynchronous interface. The platform automatically identifies the corresponding lock and its status and generates a maintenance work order, including the lock ID, fault type, priority, image information, and task binding status.

[0066] Once a maintenance work order is generated, it enters the task scheduling process. The system assigns work orders based on parameters such as lock type, maintenance personnel availability, and proximity to the area. The platform also provides progress tracking for each work order, including "pending," "processing," and "completed," allowing responsible personnel to review progress and upload processing records. Task progress is tracked in real time, with automatic alerts (such as pop-up reminders and email notifications) triggered for overdue tasks. Task reallocation and priority adjustment are also supported.

[0067] The entire process, including operational logs and image evidence, is archived, hashed, and written to the blockchain by the system's evidence storage module, ensuring a verifiable timeline and chain of evidence for each repair request. Compliance analysis, based on operational log data, generates statistical reports on task completion rates and lock operation time, identifying process bottlenecks. Furthermore, the management platform is also equipped with a lock information management function for: Import spreadsheet files to batch create or update lock information; Dynamically refresh the factory floor plan layer and identify the operating status of each lock with different colors; According to the changes in the operating status of each lock, an early warning is triggered and the user is notified.

[0068] In this embodiment, the management platform in the enterprise production safety maintenance operation tag lock intelligent management system is equipped with a lock information management function, which is used to realize the centralized filing, layer display and real-time monitoring of the operation status of smart locks.

[0069] First, managers import a pre-organized spreadsheet of lock information (such as Excel or CSV format) through the web management platform. This spreadsheet includes fields such as lock number, type (such as Bluetooth lock, fingerprint lock, mechanical lock), physical installation location, current binding status, and device ID. The system performs format verification and field matching on the imported data and supports creating new lock entries or updating information based on unique IDs.

[0070] After successful import, the platform links the lock information with the factory floor plan and uses layer overlay technology to visually mark each lock in its corresponding operating area, such as Area A and Area B. To enhance identification efficiency, the platform uses a status color-coding mechanism: green indicates normal operation, yellow indicates upcoming maintenance, and red indicates an abnormal status or the need for repair.

[0071] The platform maintains real-time communication with each lock (Bluetooth locks through BLE bridge devices, fingerprint locks and mechanical locks through indirect interaction), and periodically receives operating data such as battery level, communication quality, and the latest operation status. When the system detects an abnormal operating parameter of a lock (such as voltage below the threshold, high communication packet loss rate, continuous operation failure, etc.), it will automatically change the lock status from "green" to "red".

[0072] Once the status changes to an abnormality, the platform immediately triggers an alert mechanism and pushes an alert message to the responsible person (such as the regional security administrator or system administrator) through the configured notification rules. Notification methods support multiple simultaneous alert channels such as system pop-up windows, email reminders, and app push notifications.

[0073] The module also supports the generation of event records for abnormal locks, facilitating the subsequent generation of maintenance work orders, statistical fault distribution, and evaluation of lock health, further improving the operational visibility and maintenance response capabilities of the plant-wide isolation control system.

[0074] Furthermore, the evidence storage module performs hash processing and writes it into the blockchain when a task is created, a smart lock group is operated, or an abnormal repair event occurs, and performs the following steps: Construct a data summary in the order of events and call the hash algorithm to generate a summary value; Writing the summary value and related metadata into the blockchain via asynchronous processing; After writing into the blockchain, the writing confirmation information is fed back to the management platform.

[0075] The evidence storage module is deployed in the cloud service and connected to the management platform, mobile terminals, and the blockchain gateway interface module. The system initiates the data evidence storage process when triggered by the following three types of events: task creation, unlocking and closing operations of smart lock groups, and abnormal repair information submitted by users through mobile terminals.

[0076] First, when a task is created, the system automatically collects relevant task metadata, including task ID, creation time, creator identity, associated lock ID, operation area number, etc., to form a task data packet; during the opening and closing operation, the operator's identity, multi-factor authentication results, specific operation time, operation type (locking / unlocking), lock status, on-site image and its hash summary are recorded; in abnormal repair reporting events, the repair reporting time, lock number, fault type, uploaded image / video summary, etc. are collected.

[0077] The above event data is constructed by the system into a standardized structured data digest in chronological order. The evidence storage module uses the SHA-256 hash algorithm to generate a unique digest value for each event data packet, and appends metadata such as timestamp and event type to construct the on-chain transaction.

[0078] Subsequently, the summary value and metadata are written into the consortium chain system through the blockchain gateway module through asynchronous transaction processing. This system adopts a lightweight multi-node Fabric architecture to achieve a balance between performance and verifiability.

[0079] After writing is completed, the chain end returns the block height, transaction ID and writing time as confirmation information. The evidence storage module feeds back the confirmation information to the management platform and automatically binds it to the original task / lock / repair event record.

[0080] Through the above method, the system implements a three-step blockchain evidence storage mechanism of "key events-data summary-chain confirmation", ensuring that key operation data has legally effective digital certificate attributes, which can be used for post-compliance audits, accident tracing and responsibility determination.

[0081] Furthermore, the system also includes a risk trend prediction module for: Regularly extract historical job logs from the management platform and construct a time series data set; Use the prediction model to calculate the future risk level of each region and identify key influencing factors through the feature weight algorithm; Provide isolation and scheduling recommendations based on the prediction results.

[0082] First, the risk trend prediction module automatically extracts historical job log data from the management platform at a set scheduling period (e.g., every 24 hours). This extracted log data includes information such as job ID, job area code, lock type, job time, job duration, operator identity, and abnormal event records (e.g., communication failure, identification failure, and padlock anomaly).

[0083] The system aggregates this log data by operating area and timeline to construct a multi-dimensional time series dataset. It also labels anomaly types and occurrence frequencies to support machine learning model training. Next, the risk prediction module, based on historical time series data, invokes a pre-trained prediction model (e.g., an LSTM-based time series neural network) to predict the potential risk level for each area within a specified future time period. The prediction output is a risk score range (e.g., 0-1), where higher values ​​indicate greater potential risks.

[0084] Finally, the system generates a Safety Risk Warning Report based on these predictions for pre-operation review and analysis. Through the methods described in this embodiment, the system enables proactive management of operational tasks and regional risks and intelligent decision-making, enhancing the dynamic responsiveness and compliance assurance capabilities of the tagout management process.

[0085] This solution offers implementation value by improving compliance, optimizing efficiency, and fostering a positive culture. It strictly adheres to domestic and international safety standards such as OSHA and GB / T, helping companies meet regulatory requirements, mitigate compliance risks, and achieve automated, standardized, and traceable risk prevention and control. This helps companies improve safety management efficiency and reduce the risk of safety incidents caused by human error. Through digital tools, it strengthens employee safety awareness and promotes the transformation of corporate safety culture from "passive execution" to "active management." It enables intelligent monitoring and management of the three major risk factors of users, equipment, and the operating environment throughout production operations and maintenance. This solution is suitable for safety management and control in high-risk production workplaces, significantly improving the safety, compliance, and management efficiency of production and maintenance operations.

[0086] Through multi-protocol communication technology, a unified communication protocol is designed to adapt to different lock types (such as the BLE protocol for Bluetooth locks and the UART protocol for fingerprint locks), enabling standardized data collection from heterogeneous devices. Blockchain evidence storage technology is used to hash key operational data (such as task creation time and lock status change records) to ensure data immutability and meet audit compliance requirements. Dynamic permission control technology, based on the RBAC (Role-Authorization-Control) model, combines work time windows with geofencing (e.g., limiting quarantined personnel to designated areas to perform tasks), enabling dynamic authorization based on the principle of least privilege. Edge servers are deployed on the PC management platform to pre-process real-time data (such as filtering invalid signals and aggregating operation logs), reducing cloud storage and computing pressure.

[0087] Those skilled in the art can clearly understand that, for the convenience and brevity of description, only the division of the above-mentioned functional units and modules is used as an example for illustration. In actual applications, the above-mentioned functions can be distributed and completed by different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above. The functional units and modules in the embodiment can be integrated into one processing unit, or each unit can exist physically alone, or two or more units can be integrated into one unit. The above-mentioned integrated unit can be implemented in the form of hardware or in the form of software functional units. In addition, the specific names of the functional units and modules are only for the convenience of distinguishing each other, and are not used to limit the scope of protection of this application. The specific working process of the units and modules in the above-mentioned system can refer to the corresponding process in the aforementioned method embodiment, and will not be repeated here.

[0088] In the above embodiments, the description of each embodiment has its own focus. For parts that are not described or recorded in detail in a certain embodiment, reference can be made to the relevant description of other embodiments.

[0089] Those skilled in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed in this application can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0090] In the embodiments provided in this application, it should be understood that the disclosed devices / terminal equipment and methods can be implemented in other ways. For example, the device / terminal equipment embodiments described above are merely illustrative. For example, the division of the modules or units is merely a logical function division. In actual implementation, there may be other division methods, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0091] In addition, the functional units in the various embodiments of the present application may be integrated into a single processing unit, or each unit may exist physically separately, or two or more units may be integrated into a single unit. The aforementioned integrated units may be implemented in the form of hardware or software functional units.

[0092] If the integrated module / unit is implemented as a software functional unit and sold or used as a standalone product, it can be stored in a computer-readable storage medium. Based on this understanding, the present application can implement all or part of the process steps in the above-mentioned method embodiments by instructing the relevant hardware through a computer program. The computer program can be stored in a computer-readable storage medium. When executed by a processor, the computer program can implement the steps of each of the above-mentioned method embodiments. The computer program includes computer program code, which can be in source code form, object code form, executable file, or some intermediate form. The computer-readable medium can include: any entity or device capable of carrying the computer program code, recording medium, USB flash drive, mobile hard drive, magnetic disk, optical disk, computer memory, read-only memory (ROM), random access memory (RAM), electric carrier signal, telecommunication signal, and software distribution medium. It should be noted that the content of the computer-readable medium can be appropriately increased or decreased based on the requirements of legislation and patent practice in a jurisdiction. For example, in some jurisdictions, based on legislation and patent practice, computer-readable media does not include electric carrier signals and telecommunication signals.

[0093] The present application implements all or part of the processes in the above-mentioned embodiment method, and can also be completed through a computer program product. When the computer program product is run on a terminal device, the terminal device can implement the steps in the above-mentioned method embodiments when executing.

[0094] The above embodiments are intended only to illustrate the technical solutions of the present application and are not intended to limit them. Although the present application has been described in detail with reference to the above embodiments, those skilled in the art should understand that they may still modify the technical solutions described in the above embodiments or replace some of the technical features therein with equivalents; and such modifications or replacements do not deviate from the spirit and scope of the technical solutions of the embodiments of the present application and should be included within the scope of protection of the present application.

Claims

1. An intelligent management system for enterprise production safety operation and maintenance operation lockout, characterized by: The system comprises: A management platform for creating isolated job tasks and assigning unique identifiers, tracking task status, and revoking the corresponding user's operation permissions when the job task times out and is not started; A mobile terminal, configured to receive job tasks issued by the management platform and perform multi-factor authentication and geo-fence verification; An intelligent lock set, configured to respond to the unlocking and locking instructions issued by the mobile terminal and collect the operating status, the intelligent lock set including a Bluetooth lock, a fingerprint lock, and a mechanical lock; The evidence storage module is used to perform hash processing and write to the blockchain when task creation, smart lock group operation and abnormal repair reporting events occur.

2. According to claim 1, the enterprise production safety operation and maintenance operation lockout intelligent management system is characterized by: The management platform is used to: Initializing the task record to a pending state upon receiving the creation request for the job task; After receiving a confirmation message of task receipt from the mobile terminal, converting the task record into a processing state; After receiving the task completion notification from the mobile terminal, the task record is updated to a completed state, and the operation authority of the corresponding user is restored.

3. The intelligent management system for enterprise production safety operation and maintenance operation lockout according to claim 1 is characterized in that: After receiving the task from the management platform, the mobile terminal performs the following steps: Calling facial recognition, fingerprint recognition and voiceprint recognition algorithms for multi-factor authentication; After identity verification is passed, geo-fence verification is performed in combination with the operation time window; Generate and issue an unlocking and closing instruction based on the verification result, wherein the unlocking and closing instruction includes a locking or unlocking instruction.

4. The intelligent management system for locking out production safety operations and maintenance operations according to claim 3 is characterized in that: After the Bluetooth lock responds to the unlocking and locking instructions sent by the mobile terminal, the following steps are performed: Establish a BLE connection and dynamically adjust communication parameters based on signal strength and noise level; Perform unlocking and locking actions and record operation time, operation results and key identification; Cooperate with the camera module of the mobile terminal to collect on-site images, and upload the on-site images together with the operation log. The on-site images include the lock body, the hanging sign and the area identification.

5. According to claim 3, the enterprise production safety operation and maintenance operation lockout intelligent management system is characterized by: After the fingerprint lock responds to the unlocking and locking instructions issued by the mobile terminal, the following steps are performed: Calling the fingerprint recognition algorithm to verify the operator's identity; After the number of consecutive recognition failures reaches the preset number, a temporary lock is triggered and an alarm is sent to the management platform; After the release condition is met, the lock function of the fingerprint lock is restored and a log of the entire process is recorded.

6. The intelligent management system for locking out production safety operations and maintenance operations of enterprises according to claim 3 is characterized by: After the mechanical lock responds to the unlocking and locking instructions sent by the mobile terminal, the following steps are performed: The mobile terminal scans the QR code of the mechanical lock and obtains the lock file; The camera module of the mobile terminal collects on-site images; Perform feature extraction and template matching verification on the on-site image, and upload the verification results and the on-site image to archive.

7. The intelligent management system for locking out production safety operations and maintenance operations of enterprises according to claim 1 is characterized in that: The system also includes an abnormality reporting module for: Receiving the fault type and fault picture submitted by the user on the mobile terminal; Generate event messages based on fault information and push them to the management platform; Generate corresponding maintenance work orders in the management platform and track the processing progress.

8. The intelligent management system for locking out production safety operations and maintenance operations of enterprises according to claim 1 is characterized in that: The management platform is also equipped with a lock information management function for: Import spreadsheet files to batch create or update lock information; Dynamically refresh the factory floor plan layer and identify the operating status of each lock with different colors; According to the changes in the operating status of each lock, an early warning is triggered and the user is notified.

9. The intelligent management system for locking out production safety operations and maintenance operations of enterprises according to claim 1 is characterized in that: The evidence storage module performs hash processing and writes it into the blockchain when a task is created, a smart lock group is operated, or an abnormal repair event occurs, and performs the following steps: Construct a data summary in the order of events and call the hash algorithm to generate a summary value; Writing the summary value and related metadata into the blockchain via asynchronous processing; After writing into the blockchain, the writing confirmation information is fed back to the management platform.

10. The intelligent management system for locking out production safety operations and maintenance operations of enterprises according to claim 1 is characterized in that: The system also includes a risk trend prediction module for: Regularly extract historical job logs from the management platform and construct a time series data set; The prediction model is used to calculate the future risk level of each area, and isolation and dispatch recommendations are provided based on the prediction results.

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