Equipment spot inspection management method and system based on intelligent mobile terminal

Abstract

The invention discloses an equipment point inspection management method and system based on an intelligent mobile terminal, and the method comprises the steps: obtaining the real-time monitoring data of all production equipment through a server; the server calls standard data in a database, compares the standard data with real-time monitoring data, judges whether all current production equipment is abnormal or not, automatically generates a hidden danger work order corresponding to the equipment if the equipment is abnormal, and pushes the hidden danger work order to a mobile terminal in a hand of a spot inspector; and storing the hidden danger work order of the corresponding equipment in a historical fault database. According to the invention, the dynamic hidden danger management module generates work orders based on a task urgency degree algorithm and dynamically sorts the work orders, normalization, time attenuation factors and resource constraint weighting are introduced into the urgency degree algorithm, intelligent priority allocation is realized, and the maintenance sequence (such as high-value equipment priority) is dynamically adjusted according to the equipment value, the fault frequency and the resource inventory. And shutdown loss of key equipment is reduced.

Description

Technical Field

[0001] The present invention belongs to the technical field of industrial equipment management, and in particular relates to an equipment inspection management method and system based on an intelligent mobile terminal. Background Art

[0002] The traditional inspection and management systems currently used in industrial equipment management face significant technical bottlenecks, severely restricting equipment operation and maintenance efficiency and safety. Existing technologies primarily rely on manual paper records and decentralized information management, resulting in inspection data, anomaly records, and potential hazard tracking being scattered across independent modules or heterogeneous systems (such as EQMS and work order systems), lacking a unified data view. Furthermore, traditional systems often employ a polling mechanism for status monitoring, resulting in delays of up to 30-60 minutes in delivering warning information and incapable of real-time pop-up notifications on mobile devices. Furthermore, mainstream systems use a fixed weighted ranking system for work orders, failing to consider factors such as equipment value decay, dynamic changes in maintenance resources, and equipment degradation trends. Statistical analysis shows that this approach results in an 18% missed detection rate for high-value equipment hazards and a 32% false alarm rate for low-priority work orders.

[0003] What is particularly striking is that existing technologies have two major technical gaps: first, the lack of offline-online hybrid operation capabilities leads to a 25% inspection data loss rate in non-network environments (such as underground confined spaces and remote factory areas); second, the lack of a cross-platform collaboration mechanism means that equipment status data and resource systems (such as spare parts inventory management systems and cooperative personnel systems) cannot interact in real time, resulting in 48% of hidden danger handling being delayed due to spare parts shortages or staff shortages. Summary of the Invention

[0004] The purpose of the present invention is to address the problems existing in the prior art and provide an equipment inspection management method and system based on an intelligent mobile terminal, an equipment inspection management system with dynamic hidden danger assessment capabilities, so as to realize the intelligent upgrade of equipment full life cycle management.

[0005] Based on the specification, the present invention provides, on one hand, a device inspection management method based on a smart mobile terminal, comprising: The server obtains real-time monitoring data of all production equipment; The server retrieves standard data from the database and compares it with real-time monitoring data to determine whether all current production equipment is abnormal. If any equipment is abnormal, a hidden danger work order for the corresponding equipment is automatically generated and pushed to the mobile terminal of the inspection personnel; the hidden danger work order for the corresponding equipment is stored in the historical fault database; Based on the information pushed by the mobile terminal, the inspection personnel re-inspect the equipment determined to be abnormal, enter the hidden danger details based on the re-inspection results, complete the hidden danger work order update, and upload it to the server; The server calculates the urgency level of the updated hidden danger work order based on the task urgency algorithm, maps it to the equipment maintenance work order in the equipment management system in real time, and pushes it to the mobile terminal held by the corresponding level personnel for review; After the review is completed, the inspector regularly observes the status of the equipment on the hidden danger work order and the progress of hidden danger handling, and updates the hidden danger information until the hidden danger status on the equipment's hidden danger work order returns to normal, and then performs hidden danger closed-loop operations.

[0006] As a further technical solution, when the data acquisition module uploads the real-time status information data to the server, it also includes: performing image watermark anti-tampering processing on the input inspection data.

[0007] As a further technical solution, complete the update of the hidden danger work order and upload it to the server, including: Detect the current network environment. If the network is normal, upload the re-inspection data to the server in real time. If the network is abnormal, store the re-inspection data in the local cache and automatically synchronize it to the server after the network is restored.

[0008] As a further technical solution, the urgency level of the updated hidden danger work order is calculated according to the task urgency algorithm, including: The following formula is used to normalize the equipment value: , Value' is the normalized value of the equipment, which is used to eliminate the dimensional difference of asset value, and the unit is million yuan level logarithmic transformation; The basic score is calculated using the following formula: , Urgency is the urgency score, ɑ is the frequency attenuation factor, ɑ=0.7, which is used to suppress the exponential growth of high-frequency faults; β is the industry correction coefficient, β=1.2; : Remaining processing time (hours), γ=0.3: Environmental coefficient weight (E∈[0,1]); Introducing a resource constraint weighting mechanism: , Q safe is the safety stock threshold; The following formula is used to output the degree of urgency: , the Sigmoid function (k=10) is used to compress the score to the interval [0,1], .

[0009] As a further technical solution, the hidden danger work order includes: equipment name, equipment number, and real-time curve chart of equipment monitoring data.

[0010] As a further technical solution, the emergency levels are divided from light to heavy according to the degree of urgency, including: workshop-level hidden dangers, factory-level hidden dangers and company-level hidden dangers.

[0011] As a further technical solution, the corresponding level personnel conduct an audit, including: Hidden dangers at workshop level: inspectors send them to the operation supervisor for review; Plant-level hidden dangers: The inspector sends it to the operation supervisor for review, and then sends it to the equipment section chief for review. After the equipment section chief reviews it, it is sent to the equipment factory manager for review; Company-level hidden dangers: The inspector sends it to the operations manager for review, who then sends it to the equipment section chief for review. After the equipment section chief reviews it, it is sent to the equipment factory manager for review. After the equipment factory manager reviews it, it is sent to the equipment department operations manager for review.

[0012] Based on the specification, the present invention provides, on one hand, an equipment inspection and management system based on a smart mobile terminal, comprising: The mobile terminal is connected to the data acquisition module and the server to receive the re-inspection results, complete the update of the hidden danger work order, and upload it to the server; A data acquisition module, connected to the mobile terminal and the server, for collecting the operating data of the equipment; The server is connected to the mobile terminal and the data acquisition module, and is used to store and process monitoring data, analyze whether the equipment is abnormal, and automatically generate a hidden danger work order for the corresponding equipment if there is an abnormality in the equipment, and push it to the mobile terminal in the hands of the inspection personnel; the hidden danger work order for the corresponding equipment is stored in the historical fault database, the urgency level of the hidden danger work order is calculated, and it is mapped to the equipment maintenance work order of the equipment management system in real time, and pushed to the mobile terminal held by the personnel of the corresponding level to receive the review results.

[0013] As a further technical solution, the data acquisition module includes an infrared thermal imager and a vibration sensor, which are used to collect temperature data and vibration data of the device in real time and transmit the data to a server and a mobile terminal.

[0014] As a further technical solution, it includes an intelligent reminder and push module for sending inspection plan reminders, abnormality reminders and hidden danger handling progress reminders to mobile terminals. The reminder methods include any one or more of pop-up windows, sounds, and text messages.

[0015] Compared with the prior art, the present invention has the following beneficial effects: 1. This invention utilizes a dynamic hidden danger management module to generate and dynamically prioritize work orders based on a task urgency algorithm. This urgency algorithm incorporates normalization, a time decay factor, and resource constraint weighting to achieve intelligent priority allocation. This dynamically adjusts the maintenance sequence based on equipment value, failure frequency, resource inventory, and equipment degradation trends (e.g., prioritizing high-value equipment), minimizing downtime losses for critical equipment. Furthermore, when spare parts inventory is insufficient, the urgency score is automatically increased, avoiding maintenance delays due to resource shortages and reducing the risk of production line interruptions.

[0016] 2. In this invention, the server generates a hidden danger work order and maps it to the EQMS (equipment management system) system in real time. It then works with the EQMS to update the hidden danger closed-loop status, achieving an end-to-end management closed-loop. This automates the entire process from data collection, hidden danger generation, maintenance execution, to status feedback, reducing manual intervention. Furthermore, the maintenance progress is synchronized with the EQMS in real time to ensure a precise match between maintenance resources (manpower, spare parts) and hidden danger handling, thereby improving collaborative efficiency.

[0017] 3. In the present invention, server analysis and processing include equipment failure prediction, generating hidden danger degradation trends based on historical data and real-time status, realizing early warning of failures, and predicting potential equipment failures (such as 30 days remaining in bearing life) by analyzing trends such as temperature fluctuations and vibration anomalies, so as to plan maintenance plans in advance; in addition, by replacing passive repairs with proactive maintenance, the pilot enterprises have reduced equipment failure downtime by 55%, thereby extending the service life of the equipment.

[0018] 4. This invention's intelligent reminder module supports multi-channel push notifications via pop-up windows, sound, and SMS. Users can customize reminder thresholds (e.g., "timeout triggers a red pop-up window") to maximize information reach. Multiple reminder methods (e.g., SMS to prevent missed visits) ensure prompt responses from responsible individuals. Pilot enterprises have seen a 60% increase in response speed to potential hazards. Furthermore, customized rules can be configured for different workshops (e.g., maintenance workshops receive priority SMS notifications), further enhancing system adaptability.

[0019] 5. In the present invention, through the four core technologies of offline and online hybrid operation, multi-sensor fusion, dynamic algorithm optimization and cross-system collaboration, the intelligence, efficiency and reliability of equipment inspection management are achieved. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] Figure 1 A schematic diagram of the structure of an equipment inspection and management system based on a smart mobile terminal provided by an embodiment of the present invention; Figure 2 The present invention provides a flow chart of a device inspection and management method based on a smart mobile terminal. DETAILED DESCRIPTION

[0021] The following will clearly and completely describe the technical solution of the present invention in conjunction with the accompanying drawings. Obviously, the embodiments described are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0022] In the description of the present invention, it should be noted that the terms "middle", "upper", "lower", "left", "right", "inside", "outside", etc., indicating directions or positional relationships, are based on the directions or positional relationships shown in the accompanying drawings. They are only for the convenience of describing the present invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific direction, be constructed and operated in a specific direction. Therefore, they cannot be understood as limiting the present invention.

[0023] like Figure 1 As shown, the present invention provides, on one hand, a device inspection management method based on a smart mobile terminal, comprising: The server obtains real-time monitoring data of all production equipment; In this embodiment, the real-time monitoring data of all production equipment is obtained by installing corresponding sensors on each production equipment, such as infrared sensors, displacement sensors and other instruments to monitor the equipment in real time.

[0024] The server retrieves standard data from the database and compares it with real-time monitoring data to determine whether all current production equipment is abnormal. If any equipment is abnormal, a hidden danger work order for the corresponding equipment is automatically generated and pushed to the mobile terminal of the inspection personnel; the hidden danger work order for the corresponding equipment is stored in the historical fault database; Based on the information pushed by the mobile terminal, the inspection personnel re-inspect the equipment determined to be abnormal, enter the hidden danger details based on the re-inspection results, complete the hidden danger work order update, and upload it to the server; The server calculates the urgency level of the updated hidden danger work order based on the task urgency algorithm, maps it to the equipment maintenance work order in the equipment management system in real time, and pushes it to the mobile terminal held by the corresponding level personnel for review; After the review is completed, the inspector regularly observes the status of the equipment on the hidden danger work order and the progress of hidden danger handling, and updates the hidden danger information until the hidden danger status on the equipment's hidden danger work order returns to normal, and then performs hidden danger closed-loop operations.

[0025] In this embodiment, when the data acquisition module uploads the real-time status information data to the server, the method further includes: performing image watermark anti-tampering processing on the input inspection data.

[0026] In this embodiment, completing the update of the hidden danger work order and uploading it to the server includes: Detect the current network environment. If the network is normal, upload the re-inspection data to the server in real time. If the network is abnormal, store the re-inspection data in the local cache and automatically synchronize it to the server after the network is restored.

[0027] In this embodiment, the urgency level of the updated hidden danger work order is calculated according to the task urgency algorithm, including: The following formula is used to normalize the equipment value: , Value' is the normalized value of the equipment, which is used to eliminate the dimensional difference of asset value, and the unit is million yuan level logarithmic transformation; The basic score is calculated using the following formula: , Urgency is the urgency score, ɑ is the frequency attenuation factor, ɑ=0.7, which is used to suppress the exponential growth of high-frequency faults; β is the industry correction coefficient, β=1.2; : Remaining processing time (hours), γ=0.3: Environmental coefficient weight (E∈[0,1]); The following dynamic adjustment mechanism is introduced: ,in, is the time decay factor, is the difference between the current time and the time when the fault occurred (hours), and T is the equipment life cycle parameter (years); Introducing a resource constraint weighting mechanism: , Q safe is the safety stock threshold; The following formula is used to output the degree of urgency: , the Sigmoid function (k=10) is used to compress the score to the interval [0,1], .

[0028] It should be noted that in the system dynamic adjustment mechanism, the design of the time decay factor reflects the timeliness modeling of the fault impact, and the exponential decay characteristic ensures that δ ∈ (0,1), representing the continuous decay process of the fault impact.

[0029] The time constant T controls the decay rate: As T increases, δ decays more slowly, making the impact of historical faults more persistent (e.g., thermal inertia compensation in chemical process control). As T decreases, δ rapidly approaches zero, allowing the system to quickly forget old faults (e.g., transient anomaly filtering in high-frequency trading systems). A dynamic time scale is constructed between the current time and the fault occurrence time, enabling automatic time calibration from the moment the fault is triggered. This scale, adapted to the system control logic, serves as an alarm signal for fault detection, converting discrete fault events into continuous attenuation values, which are fed back into the system for parameter adjustment and progressive reconfiguration of controller gains via δ(t). This design establishes a dynamic convolution window in the time domain using an exponential kernel function, preserving the transient sensitivity of previous-stage fault detection (echoing the burst feature extraction of the preceding module) while ensuring a smooth transition for subsequent subsystem reconstruction. This fully achieves temporal consistency across the entire chain of "fault perception → impact quantification → smooth transition."

[0030] In this embodiment, the hidden danger work order includes: equipment name, equipment number, and a real-time curve chart of equipment monitoring data.

[0031] like Figure 2 As shown, based on the same technical concept as the above embodiments, the present invention provides, on one hand, an equipment inspection and management system based on a smart mobile terminal, comprising: The mobile terminal is connected to the data acquisition module and the server to receive the re-inspection results, complete the update of the hidden danger work order, and upload it to the server; A data acquisition module, connected to the mobile terminal and the server, for collecting the operating data of the equipment; The server is connected to the mobile terminal and the data acquisition module, and is used to store and process monitoring data, analyze whether the equipment is abnormal, and automatically generate a hidden danger work order for the corresponding equipment if there is an abnormality in the equipment, and push it to the mobile terminal in the hands of the inspection personnel; the hidden danger work order for the corresponding equipment is stored in the historical fault database, the urgency level of the hidden danger work order is calculated, and it is mapped to the equipment maintenance work order of the equipment management system in real time, and pushed to the mobile terminal held by the personnel of the corresponding level to receive the review results.

[0032] In this embodiment, the data acquisition module includes an infrared thermal imager and a vibration sensor, which are used to collect temperature data and vibration data of the device in real time and transmit the data to a server and a mobile terminal.

[0033] In this embodiment, the present invention also includes an intelligent reminder and push module for sending inspection plan reminders, abnormality reminders and hidden danger handling progress reminders to the mobile terminal. The reminder method includes any one or more of pop-up windows, sounds, and text messages.

[0034] In the above technical solution, mobile terminals can input inspection data even in an offline environment, and automatically synchronize data to the server after the network is restored. This allows inspection personnel to work normally even in areas with poor signal or no network, without having to wait for network recovery. This avoids inspection interruptions caused by network problems and effectively improves the continuity and efficiency of inspection work. The data acquisition module collects equipment operating status data in real time and transmits it to the mobile terminal and server. The mobile terminal can also display the equipment hidden danger degradation trend after server processing in real time. Inspection personnel can obtain the latest equipment status information in a timely manner, reducing the time waiting for data upload and processing, facilitating rapid decision-making, and further improving inspection efficiency.

[0035] In this embodiment, the data acquisition module includes an infrared thermal imager and a vibration sensor, which are used to collect temperature data and vibration data of the device in real time and transmit the data to the server and the mobile terminal.

[0036] By integrating infrared thermal imagers and vibration sensors, key operating status data of the equipment, such as temperature and vibration, can be collected in real time. This data is an important basis for judging whether the equipment has faults such as overheating, wear, and imbalance. It helps to fully and accurately perceive the operating status of the equipment and improve the accuracy and reliability of inspections.

[0037] The collected data is transmitted to the server and mobile terminals simultaneously, allowing inspection personnel and back-end management personnel to obtain the same equipment status information in real time at different locations, promoting information sharing and collaborative work among team members, and improving work efficiency and timeliness of decision-making.

[0038] It should be noted that, in this embodiment, the specific use of the sensor is selected according to the needs of the device.

[0039] In this embodiment, the server further includes a dynamic hidden danger management module for generating hidden danger work orders based on spot inspection data and equipment operation status data, and dynamically sorting and pushing hidden danger work orders based on a task urgency algorithm.

[0040] In this embodiment, an intelligent reminder and push module is included, which is used to send inspection plan reminders, abnormality reminders and hidden danger handling progress reminders to mobile terminals. The reminder methods include any one or more of pop-up windows, sounds, and text messages.

[0041] It should be noted here that the reminder method depends on the choice of the mobile terminal receiving the push. 1. Environment Configuration

[0042] Mobile terminal: Install Android / iOS applications and configure Bluetooth / WiFi to connect to smart sensors; Server: Deploy SpringCloud microservice cluster, integrate RabbitMQ message queue and Redis cache; Database: MySQL is used to store inspection records in separate databases and tables, and MongoDB is used to store sensor time series data.

[0043] 2. Function activation 2.1 Scan the device QR code on your mobile device to load the inspection plan; 2.2 Sensor data is automatically uploaded to the server, triggering anomaly detection rules; 2.3 After the hidden danger work order is generated, it is distributed to the relevant responsible persons through the message queue.

[0044] 2.4 Inspection Performance Operation Procedure (1) The inspector logs in to the Inspection APP and clicks “Inspection Business”.

[0045] (2) Professional inspectors enter the "Professional Inspection Performance Login" and operational inspectors enter the "Operational Inspection Performance Login".

[0046] (3) After logging in, the inspector clicks on the area where the equipment is located to enter the inspection items: for qualitative inspection items, click Submit one by one or submit in batches to complete the inspection; for quantitative inspection items, the vibration and temperature can be tested based on the external smart sensor hardware of the mobile phone, click Submit to complete the inspection.

[0047] (4) When the inspector finds an abnormality during inspection, he can add a hidden danger. Check the option and click the upper right corner. The corresponding equipment 9 code will be automatically displayed. Fill in the corresponding content and add a new hidden danger.

[0048] (5) After the inspector enters the hidden dangers, they will be reviewed in different levels in the inspection APP. The specific review process is as follows: 1. Workshop-level hidden dangers: ①Initiated by the inspector of the inspection app—②Reviewed by the operation supervisor.

[0049] 2. Factory-level hidden dangers: ①Initiated by the inspection APP inspector—②Operation supervisor—③Equipment section chief—④Reviewed by the equipment factory manager.

[0050] 3. Company-level hidden dangers: ①Initiated by the inspection APP inspector—②Operation manager—③Equipment section chief—④Equipment factory manager—⑤Reviewed by the person in charge of equipment department operations.

[0051] (6) After the equipment hidden dangers are reviewed, the inspector regularly pays attention to the hidden danger status and processing progress, updates the hidden danger information, and finally eliminates the equipment hidden dangers after inspection and maintenance. The inspector closes the hidden danger loop in the APP and the hidden dangers are eliminated.

[0052] (7) Professional inspectors click on the inspection plan adjustment (if the inspection plan adjustment approval is not completed before 16:00 and the plan for the day is not completed, it will be judged as "unfinished"), enter the homepage, check the plan that needs to be adjusted, the date and personnel can be adjusted, enter the reason for the adjustment, click on the adjustment, and the adjustment of the past time and personnel must not be planned for the adjustment to be successful. The reviewer is the operation manager or the equipment section chief (two posts and parallel approval). The adjustment date must not be earlier than the current system date. The inspection post cannot adjust the inspection plan.

[0053] (8) Professional inspection personnel must check the inspection plan for the day in the morning and complete the inspection tasks for the day before 18:00; if special inspection items (such as items that require production line shutdown to be implemented) cannot be implemented on the same day or the performance log cannot be completed, they can apply for plan adjustment in advance and track the progress of the plan adjustment review to ensure that the review is completed before 16:00.

[0054] (9) Multi-user account sharing operation instructions: Completely exit the EQMS application process, open the APP to complete the account login, and click "More" > "EQMS" to start the application. Example

[0055] Client Inspection personnel: The inspection personnel hold a mobile terminal equipped with a Bluetooth / WiFi connected smart sensor, log in to the Android / iOS application with the inspection APP installed, enter the "Inspection Business" page, and click "Professional Inspection Performance Login" or "Operational Inspection Performance Login" to start the inspection task.

[0056] After arriving at the equipment location, scan the QR code on the device to load the inspection plan. For qualitative inspection items, submit them one by one or in batches. For quantitative inspection items, use your phone's external smart sensor hardware, such as an infrared thermal imager to measure the device's temperature or a vibration sensor to measure its vibration. After the test is complete, click Submit to complete the inspection.

[0057] If an equipment anomaly is discovered during the inspection process, the app can be used to click "Add Hidden Danger" and select the option. The system will automatically display the corresponding equipment 9-code, and the inspector can fill in the relevant information to add the hidden danger. After adding the hidden danger, the inspection app will conduct a hierarchical review based on the level of the hidden danger and the review process requirements. Workshop-level hidden dangers are reviewed by the operation manager; factory-level hidden dangers are reviewed by the operation manager, equipment section manager, and equipment factory manager at three levels; company-level hidden dangers are reviewed by the operation manager, equipment section manager, equipment factory manager, and the person in charge of equipment department operations at four levels.

[0058] After the review is complete, the inspection personnel must regularly monitor the status of hidden dangers and the progress of handling, and update the hidden danger information in a timely manner. After the equipment has been repaired and the hidden danger has been eliminated, the inspection personnel will perform hidden danger closed-loop operations in the app.

[0059] If an inspection staff member is unable to complete the inspection task for the day as planned due to special circumstances, they can request a plan adjustment in advance within the app. Go to the homepage, select the plan to be adjusted, adjust the date and personnel, enter the reason for the adjustment, and click Adjust. The reviewer is the operations manager or equipment section manager, and the adjustment date must not be earlier than the current system date. If the inspection plan adjustment is not approved by 4:00 PM and the day's plan has not been completed, it will be considered "Incomplete."

[0060] When uploading fine inspection data, if the current network condition is poor, the system will automatically upload the data to the mobile terminal's built-in memory as temporary storage space. After the network is restored, it will automatically upload the data to the server and delete the data temporarily stored in the mobile terminal.

[0061] Maintenance personnel: After receiving the hidden danger work order pushed by the server, the maintenance personnel use a handheld mobile terminal to accurately locate the hidden danger equipment based on the equipment directory information displayed on the work order and perform targeted maintenance operations on the equipment.

[0062] Managers: With handheld mobile terminals, managers can access the operating status information of each device at any time, make temporary instructions in a timely manner if hidden dangers are not repaired within a certain period of time, and rationally allocate maintenance resources and arrange maintenance plans.

[0063] It also provides a global dashboard view, supporting the multi-dimensional screening of potential risk work orders by equipment type, production line, urgency score, and other dimensions. A built-in approval workflow engine supports custom approval chains (e.g., "workshop level → factory level → company level"), and approval operation records are stored on the blockchain to ensure audit traceability.

[0064] server The server is deployed using a SpringCloud microservice cluster and integrates RabbitMQ message queues and Redis cache to improve system performance and reliability.

[0065] In terms of database, MySQL is used to store inspection records in separate databases and tables, and MongoDB is used to store sensor time series data to ensure efficient data storage and fast query.

[0066] After the data acquisition module collects the real-time status information of the device, it uploads it to the server. The server will retrieve the standard status data from the database and compare it with the received real-time status information to determine whether the current status of the device is normal.

[0067] If a device is in an abnormal state, the server automatically generates a potential hazard work order based on the comparison results and stores it in the device's historical fault database. The server also prioritizes the potential hazard work order based on a task urgency algorithm and pushes it to mobile devices with different responsibilities. For example, it might first be pushed to relevant personnel at the workshop level for preliminary review and processing. If the hazard level is high, it will then be pushed to higher-level management personnel.

[0068] After receiving detailed inspection data uploaded by inspectors, the server applies complex data analysis algorithms to analyze and process the data, including assessing equipment operating status, identifying potential hazards, and predicting equipment failures. This data then generates relevant management information and trends related to potential equipment degradation. This management information is mapped in real time to equipment maintenance work orders in the EQMS system, enabling linkage and collaboration across the equipment management system.

[0069] For equipment that has not been repaired within a certain period of time, the server will push early warning information to the responsible person through a multi-channel message distribution mechanism to ensure that the responsible person is aware of the abnormal status of the equipment in a timely manner and takes corresponding measures.

[0070] In addition, the server will also receive status update instructions uploaded by inspection personnel to update the status information of the equipment in a timely manner and maintain the real-time and accuracy of system data.

[0071] Data acquisition module The data acquisition module includes a variety of sensors, such as infrared thermal imagers, vibration sensors, humidity sensors, displacement sensors, etc., to adapt to the monitoring needs of different equipment.

[0072] Infrared thermal imager: By detecting infrared radiation on the surface of the equipment, it can collect the temperature data of the equipment in real time and generate a temperature distribution image, helping to quickly find overheating parts of the equipment. It is important for determining whether the equipment has electrical faults, mechanical parts wear and other faults caused by overheating.

[0073] Vibration sensors: These monitor the vibration amplitude and frequency of equipment in real time and capture vibration data. When equipment experiences faults such as imbalance, misalignment, bearing wear, or gear damage, vibration sensors can sensitively capture changes in vibration signals, providing key evidence for equipment fault diagnosis.

[0074] Humidity sensor: Mainly used to monitor the humidity of the environment in which the equipment is located. For some humidity-sensitive equipment or equipment operating in humid environments, humidity data can help assess the possibility of equipment being affected by moisture and prevent equipment failures caused by abnormal humidity, such as degradation of insulation performance of electrical equipment and rusting of mechanical parts.

[0075] Displacement sensors can be used to measure the displacement of equipment components, such as axial and radial displacement. Abnormal equipment displacement may indicate problems such as loose installation foundations, worn or deformed components. Displacement sensors can detect these potential faults promptly.

[0076] The real-time status information data collected by these sensors is directly transmitted to the server for subsequent processing and analysis. On the other hand, it is also synchronously transmitted to mobile terminals so that inspection personnel and management personnel can obtain the latest operating status information of the equipment in a timely manner, realizing real-time monitoring and effective management of the equipment.

[0077] While embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions, and variations may be made to these embodiments without departing from the principles and spirit of the invention, and that the scope of the invention is defined by the appended claims and their equivalents.

Claims

1. A device inspection management method based on a smart mobile terminal, characterized in that: include: The server obtains real-time monitoring data of all production equipment; The server retrieves standard data from the database and compares it with real-time monitoring data to determine whether all current production equipment is abnormal. If any equipment is abnormal, a hidden danger work order for the corresponding equipment is automatically generated and pushed to the mobile terminal of the inspection personnel; the hidden danger work order for the corresponding equipment is stored in the historical fault database; Based on the information pushed by the mobile terminal, the inspection personnel re-inspect the equipment determined to be abnormal, enter the hidden danger details based on the re-inspection results, complete the hidden danger work order update, and upload it to the server; The server calculates the urgency level of the updated hidden danger work order based on the task urgency algorithm, maps it to the equipment maintenance work order in the equipment management system in real time, and pushes it to the mobile terminal held by the corresponding level personnel for review; After the review is completed, the inspector regularly observes the status of the equipment on the hidden danger work order and the progress of hidden danger handling, and updates the hidden danger information until the hidden danger status on the equipment's hidden danger work order returns to normal, and then performs hidden danger closed-loop operations.

2. The device inspection management method based on the intelligent mobile terminal according to claim 1 is characterized in that: When the data acquisition module uploads the real-time status information data to the server, it also includes: performing image watermark anti-tampering processing on the entered inspection data.

3. The device inspection management method based on the intelligent mobile terminal according to claim 1 is characterized in that: Complete the update of the hidden danger work order and upload it to the server, including: Detect the current network environment. If the network is normal, upload the re-inspection data to the server in real time. If the network is abnormal, store the re-inspection data in the local cache and automatically synchronize it to the server after the network is restored.

4. The device inspection management method based on the intelligent mobile terminal according to claim 1 is characterized in that: The updated urgency level of the hidden danger work order is calculated based on the task urgency algorithm, including: The following formula is used to normalize the equipment value: , Value' is the normalized value of the equipment, which is used to eliminate the dimensional difference of asset value, and the unit is million yuan level logarithmic transformation; The basic score is calculated using the following formula: ， Urgency is the urgency score, ɑ is the frequency attenuation factor, ɑ=0.7, which is used to suppress the exponential growth of high-frequency faults; β is the industry correction coefficient, β=1.2; : Remaining processing time (hours), γ=0.3: Environmental coefficient weight (E∈[0,1]); Introducing a resource constraint weighting mechanism: ， Q safe is the safety stock threshold; The following formula is used to output the degree of urgency: ， The Sigmoid function (k=10) is used to compress the score to the interval [0,1]. 。 5. The device inspection management method based on the intelligent mobile terminal according to claim 1 is characterized in that: Hidden danger work order, including: equipment name, equipment number, and real-time curve chart of equipment monitoring data.

6. The device inspection management method based on the intelligent mobile terminal according to claim 1 is characterized in that: The emergency levels are divided into workshop-level hidden dangers, factory-level hidden dangers and company-level hidden dangers according to the degree of urgency from light to heavy.

7. The device inspection management method based on the intelligent mobile terminal according to claim 1 is characterized in that: The corresponding level of personnel shall conduct the review, including: Hidden dangers at workshop level: inspectors send them to the operation supervisor for review; Plant-level hidden dangers: The inspector sends it to the operation supervisor for review, and then sends it to the equipment section chief for review. After the equipment section chief reviews it, it is sent to the equipment factory manager for review; Company-level hidden dangers: The inspector sends it to the operations manager for review, who then sends it to the equipment section chief for review. After the equipment section chief reviews it, it is sent to the equipment factory manager for review. After the equipment factory manager reviews it, it is sent to the equipment department operations manager for review.

8. An equipment inspection management system based on a smart mobile terminal, characterized in that: include: The mobile terminal is connected to the data acquisition module and the server to receive the re-inspection results, complete the update of the hidden danger work order, and upload it to the server; A data acquisition module, connected to the mobile terminal and the server, for collecting the operating data of the equipment; The server is connected to the mobile terminal and the data acquisition module, and is used to store and process monitoring data, analyze whether the equipment is abnormal, and automatically generate a hidden danger work order for the corresponding equipment if there is an abnormality in the equipment, and push it to the mobile terminal in the hands of the inspection personnel; the hidden danger work order for the corresponding equipment is stored in the historical fault database, the urgency level of the hidden danger work order is calculated, and it is mapped to the equipment maintenance work order of the equipment management system in real time, and pushed to the mobile terminal held by the personnel of the corresponding level to receive the review results.

9. The equipment inspection management system based on the intelligent mobile terminal according to claim 8 is characterized in that: The data acquisition module includes an infrared thermal imager and a vibration sensor, which are used to collect temperature data and vibration data of the device in real time and transmit the data to a server and a mobile terminal.

10. The equipment inspection management system based on the intelligent mobile terminal according to claim 8, characterized in that: It includes an intelligent reminder and push module, which is used to send inspection plan reminders, abnormality reminders and hidden danger handling progress reminders to mobile terminals. The reminder methods include any one or more of pop-up windows, sounds, and text messages.

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