420results about "Checking time patrols" patented technology

The invention relates to the technical field of digital twinning, and discloses an intelligent park inspection method and system based on digital twinning. The method comprises the following steps: acquiring image data, point cloud data, inertial navigation data and GPS positioning data, and performing format standardization and timestamp synchronization processing to obtain a multi-dimensional environment data set; performing point cloud space alignment according to image data and the point cloud data to obtain a three-dimensional space frame; performing spatial position calibration according to inertial navigation data and the GPS positioning data to obtain positioning reference data; constructing a digital twinborn model of the park according to a three-dimensional space frame and the positioning reference data; performing path calculation and rehearsal correction according to the digital twinborn model to obtain an inspection track; and according to the inspection track and the digital twinborn model, generating an inspection instruction, so that inspection equipment performs a park inspection task. According to the method, intelligent inspection rehearsal and path optimization can be realized, and the park inspection efficiency is improved.

The invention belongs to the field of medical care, and particularly relates to an intelligent nursing inspection auto-induction recording device and method, and the device comprises a directional RFID card reader at the entrance of a ward, an NFC activation module at the side of a sickbed, an integrated pressure-sensitive foot pad, and an adjustable installation structure. Timing is started through ward entrance identification, nurse information is recorded through close-range induction of a sickbed, and nursing operation and passing behaviors are distinguished by detecting a two-foot standing mode through a pressure-sensitive foot pad. The mounting structure comprises an L-shaped mounting plate and a sliding inner plate and is matched with the width of a sickbed; the angle adjusting component fixes the position; the intelligent pressure-sensitive foot pads are integrated at the four corners of the sickbed base, the pressure distribution sensors detect the standing mode of the two feet, nurses and temporary passing persons are distinguished, false inspection in the mode of waving for walking is avoided, substantive nursing operation of the nurses is accurately verified, and it is ensured that patients are truly and effectively nursed.

The invention relates to the technical field of inspection, in particular to an AI intelligent agent-based inspection method, equipment and system, and the method comprises the steps: obtaining a target region image of a to-be-inspected region, determining an abnormal region according to the target region image, generating a bidding request under the condition that the environment illumination condition of the abnormal region does not meet a preset condition, the bidding request comprises illumination demand information of an abnormal area and an area position of the abnormal area, sending the bidding request to a plurality of second devices, when bidding information generated by the second devices according to the bidding request is received, determining a target device from the plurality of second devices according to the bidding information, and sending a task execution instruction to the target device, and the target device provides illumination for the abnormal area according to the area position and the illumination demand information. By transferring the illumination energy consumption of the first equipment, the endurance time of the first equipment can be prolonged, the first equipment is prevented from being exposed, and the illumination requirement can be met to the maximum extent.

The invention relates to the technical field of cable tunnel inspection, in particular to a cable tunnel inspection method and system based on deep learning, a cable image is collected through an inspection robot, automatic defect identification is realized based on a convolutional neural network, and further, temperature, humidity and gas concentration parameters of a defect position are combined, so that the defect position is identified. And splicing with image features to form a fusion feature vector, so that more accurate defect cause judgment is realized. And inputting the fusion feature vector into an inference model embedded with a prior rule, and outputting a cause category and a confidence score in combination with domain knowledge. And reversely positioning the cause source according to the cause label, and controlling the visual angle of the robot to obtain a corresponding image and identify the image to form closed-loop correlation of the defect and the cause source. And finally, in combination with the three-dimensional map and the pose data, the cause source is mapped into a three-dimensional coordinate point, a spatial causal relationship is established, and automatic and closed-loop intelligent inspection work of the cable tunnel is completed.

The invention relates to a power equipment inspection method, device and equipment, a readable storage medium and a product, and relates to the technical field of power. Comprising the following steps: acquiring equipment image data, equipment temperature data and equipment type of to-be-inspected power equipment; performing external health analysis on the to-be-inspected power equipment based on the equipment image data to obtain external health state information of the to-be-inspected power equipment; performing internal health analysis on the to-be-inspected power equipment based on the equipment temperature data to obtain internal health state information of the to-be-inspected power equipment; performing priority analysis on the to-be-inspected power equipment based on the equipment type to obtain an inspection priority of the to-be-inspected power equipment; according to the external health state information, the internal health state information and the inspection priority, determining an inspection strategy of the to-be-inspected power equipment; and controlling the inspection robot to inspect the to-be-inspected power equipment according to the inspection strategy. The method can improve the inspection reliability of the power equipment.

The invention discloses an application method, system, equipment and medium of plant inspection navigation in a two-ticket intelligent management and control system based on AOA positioning, and belongs to the technical field of positioning navigation, and the application method comprises the following steps: setting a Bluetooth AOA transmitting base station and a Bluetooth AOA module positioning tag in an inspection area, carrying out signal interaction, and constructing an inspection space model; obtaining an interaction signal between the mobile Bluetooth transmitter and the Bluetooth AOA transmitting base station when an inspector carrying the mobile Bluetooth transmitter enters the inspection area, calculating the distance between the inspector and the Bluetooth AOA transmitting base station according to the signal intensity, and determining the real-time position of the inspector in the inspection space model; an inspection navigation route is generated according to the real-time position of the inspector, a preset inspection route and the work ticket information and the operation ticket information provided by the two-ticket intelligent management and control module; and when the inspector arrives at the inspection point and a preset card punching condition is satisfied, recording inspection card punching information and generating an inspection record. According to the invention, the inspection efficiency and safety are improved.

The invention provides an intelligent inspection management system in a hybrid expert mode under a cloud edge collaborative architecture, and relates to the technical field of data processing, the system is used for cutting basic inspection data into a plurality of section units according to a business time window, and combining record elements and node sequences in each section unit to obtain a combined data segment; constructing a track series sequence by taking the occurrence sequence of each record element as a reference, and converting the track series sequence into track matrix data; constructing node load data and calculating a process aggregation factor; screening out candidate sections in section combination data and constructing a section traffic matrix; calculating a process shunting factor; and determining process node data, and constructing an inspection service link according to the process node data. According to the invention, the problem of multiple circulation of error events in the process can be solved, and the uniqueness of the inspection task is ensured.

The invention relates to the technical field of substation inspection robots, and discloses an autonomous inspection method and system for a substation inspection robot. The method comprises the following steps: acquiring current environment parameters of a transformer substation and real-time state information of an inspection robot, and constructing an inspection environment model; analyzing historical inspection records, classifying historical inspection strategies into a plurality of experience levels, and establishing a multi-layer experience pool; according to a preset target inspection state in the inspection environment model, calculating an intelligent inspection strategy required for achieving the target inspection state; the intelligent inspection strategy and the experience inspection strategy are corrected in real time by adopting a dual-channel coordination mechanism to respond to the dynamic change of the transformer substation environment, and a final inspection strategy is generated; executing a control instruction based on the final inspection strategy, completing an inspection task and recording an actual inspection state; and comparing the deviation reason between the actual inspection state and the target inspection state, adjusting the experience content in the multilayer experience pool according to the deviation reason, and optimizing the experience data.

The invention discloses a fire-fighting equipment intelligent inspection method based on Internet of Things big data, and the method comprises the following steps: S1, collecting multi-source data, and outputting an original data set; s2, the original data set is preprocessed and fused, and a standardized operation state data sequence is generated; s3, through an FEDform model, extracting equipment state features and generating a health reference baseline; s4, executing offset detection, performance degradation and sensor drift judgment through a DeepSVDD model, and outputting an anomaly level and an anomaly type; s5, generating an inspection task, issuing a task instruction, and recording an inspection execution condition and feedback in real time; and S6, the inspection feedback data and the alarm result are transmitted back to the cloud, and an inspection report and an equipment health file are generated. Through the multi-source data fusion and deep learning technology, the intelligent level of fire-fighting equipment inspection is improved, and the accuracy and response efficiency of anomaly detection are enhanced.

The invention discloses terminal equipment for planning an inspection path of a lithium ion electrochemical energy storage power station and an inspection path generation control method, and the terminal is internally provided with an inspection path control module, a multi-modal data acquisition module, a data management module, a communication module and the like. A directed acyclic routing inspection sequence of a power grid near end, an alternating current side, a PCS and a direct current side is generated based on the electrical topology of a power station, and preposed dependence and jump inspection limitation are implemented. Human-point-time consistency in-place verification is achieved through NFC, and multi-modal data such as infrared temperature and visible light images are collected. And the end side adopts additional structured storage and chained hash evidence solidification, the classification abnormity is judged in combination with threshold-trend-consistency fusion, and the abnormity triggers dynamic rearrangement of downstream sensitive nodes and executes forced recheck. The system supports hierarchical queue and idempotent transmission, the platform side carries out chain type consistency verification and receipt closed loop, and the operation and maintenance guarantee of inspection standardization of the lithium ion electrochemical energy storage power station, rapid abnormal positioning, non-tampering of data and traceability of a whole link can be realized.

The invention belongs to the technical field of nuclear power, and particularly relates to a nuclear industry uranium mine mining equipment inspection management system. According to the nuclear industry uranium mine mining equipment inspection management system provided by the invention, the inspection point configuration model taking the equipment assets as the core is constructed, and deep binding of the inspection task and the equipment ledger is realized. On the basis, the system can automatically generate a matched inspection plan according to key parameters such as the operation cycle and the inspection frequency of the equipment, and accurate compilation and standardized configuration of tasks are achieved. The generation of the inspection plan does not depend on artificial experience any more, artificial omissions and configuration errors are effectively reduced, the systematicness and normalization of task coverage are improved, timely inspection and high-frequency management and control of high-risk equipment are guaranteed, and the rigid requirement of the nuclear industry for high-reliability operation and maintenance management is met.

The present application aims to provide a method and device for executing an inspection task, and a medium. In the method of the present application, each item of an inspection task is assigned to one or more of three 'terminals', i.e., inspection personnel performing execution on site by using an augmented reality device, an inspection robot automatically performing execution on site, and / or a data analysis platform generating an analysis result on the basis of a rule engine as an execution result for invocation and feedback. The inspection personnel, the robot, and the data analysis platform are organically combined to jointly perform the inspection task, thereby greatly improving inspection efficiency, accelerating the execution speed of inspection tasks, and reducing the time for remote communication and confirmation of anomaly issues. Therefore, a collaborative mode can be achieved, in which the data analysis platform, the robot, and the inspection personnel jointly support device inspection; and by empowering humans with augmented reality to enhance efficiency, and by intelligently executing spot inspection and scheduled maintenance takes, a complete closed loop of inspection operations is established.

The invention discloses a switching station optical distribution equipment inspection method and system, and belongs to the technical field of electric power inspection. According to the invention, the to-be-inspected target switching station is determined through the real-time position of the inspector, so that the manual station searching time is effectively shortened; the appearance identification result, the indicating lamp identification result and the equipment model identification result of the optical distribution equipment are determined by identifying the image of the optical distribution equipment, so that the inspection deviation caused by manual inspection is reduced, and the missing inspection and false inspection of the optical distribution equipment are avoided; then, the inspection flow of the optical distribution equipment is determined according to the equipment model identification result, so that inspection personnel are guided to inspect the optical distribution equipment, the standardization and consistency of inspection of the optical distribution equipment are ensured, and low inspection efficiency caused by manual consulting of paper documents is avoided; and then an inspection report is generated, so that the integrity and specification of inspection data are ensured, and a basis is provided for long-term inspection of switching station optical distribution equipment. Therefore, the accuracy and efficiency of inspection of the optical distribution equipment of the switching station are improved.

According to the intelligent patrol method and device based on the cloud SOP dynamic plan and the data capitalization, a label authentication system is innovatively designed, and safe and reliable identity authentication is achieved through secret key dispersion and dynamic authentication. And a rule engine mechanism is constructed, and reasonable job management is established in combination with multi-dimensional features and conflict resolution. Urban fusion is introduced, and the effectiveness of collaboration is ensured through event processing and data sharing. According to the method, the defects of the traditional technology in the aspects of label authentication, rule engine, cross-domain collaboration and the like are effectively overcome, and technical guarantee is provided for intelligent patrol.

The invention discloses a multi-modal data intelligent inspection method and device applied to an inspection robot. The method comprises the steps that real-time environment information in the current environment is collected, and an inspection route of a target robot is generated according to the real-time environment information; based on the inspection route, the target robot is controlled to execute data acquisition operation in the current environment according to the inspection route, vibration measurement operation parameters of the laser vibration meter can be determined, the laser vibration meter is controlled to execute corresponding signal sending and receiving operation, equipment vibration data is obtained through measurement, and then target multi-modal data is generated; and according to the target multi-modal data, the target multi-modal data can be combined with the intelligent management and control platform to execute data docking operation, so that a target inspection result of the current environment is generated. Visibly, the current environment and the equipment in the environment can be inspected through collection and analysis of the multi-modal data, the intelligence of the inspection robot in inspection operation execution is improved, and the accuracy of the inspection result is improved.

The invention discloses an intelligent two-dimensional code inspection method, an intelligent two-dimensional code inspection device and intelligent two-dimensional code inspection equipment for a survey mark, and a computer readable storage medium. The method comprises the following steps: generating two-dimensional code image data based on acquired benchmark information; wherein the benchmark information comprises a serial number, a roll call, a type, a grade, a geographic position, a supervision unit, a maintenance unit and a supervision telephone; scanning a two-dimensional code mark arranged on the top surface of the corresponding benchmark protection disc through a mobile terminal to obtain two-dimensional code image data; wherein the two-dimensional code mark corresponds to the two-dimensional code image data; obtaining the benchmark information according to the two-dimensional code image data, and displaying the benchmark information based on a page format; acquiring input inspection data through the mobile terminal; and performing inspection early warning processing based on the inspection data. The inspection efficiency of the survey mark is improved, and the labor cost is reduced.

The utility model relates to the technical field of automatic and intelligent luggage processing. The inspection system for the high-speed trolley system comprises an inspection device, a data acquisition module, a data processing module, an early warning module and a control module, the inspection device is arranged on a running path of the high-speed trolley system, and the control module is connected with the inspection device, the data acquisition module, the data processing module and the early warning module; wherein the inspection device is used for detecting state information of a luggage carrying disc on the high-speed trolley system in real time; the data acquisition module is used for acquiring state information of the luggage carrying disc; the data processing module is used for processing and analyzing the state information of the luggage carrying disc; and the early warning module is used for sending an early warning signal according to a processing and analysis result of the data processing module, so that the problems that a traditional inspection method is low in efficiency, real-time monitoring and early warning are difficult to realize, and accidents cannot be effectively prevented are solved.

The invention provides a meter reading path planning method and system based on multi-target constraint, and relates to the technical field of meter reading path planning, and the method comprises the steps: obtaining a to-be-read meter task set, and extracting historical state data of a geographic position and an associated metering device as feature data; predicting the predicted operation duration of each meter reading task according to the feature data; performing spatial clustering division on the task set to be subjected to meter reading through an improved watershed algorithm to form a plurality of task clusters; taking minimization of the total driving distance and the total prediction operation duration as optimization targets, performing initial path planning, and generating an initial operation sequence of each task cluster; and executing the initial job sequence, calculating the deviation between the actual job duration and the predicted job duration, and re-performing path planning on the meter reading tasks which are not executed subsequently to generate an updated job sequence. The technical problems of task allocation imbalance, path static solidification and poor multi-target collaboration in meter reading path planning in the prior art are solved.

The invention relates to the technical field of petroleum and natural gas inspection, in particular to an unmanned aerial vehicle data processing method and system for petroleum and natural gas inspection key indexes. The method comprises the following steps: dividing petroleum and natural gas inspection subareas, and dynamically adjusting inspection priorities of the inspection subareas according to acquired data; dynamically adjusting the current inspection route based on the inspection priority, cooperatively scheduling multiple unmanned aerial vehicles, synchronously updating the inspection state, and uploading inspection data in real time; distributing corresponding priority queues for the inspection data according to the inspection priorities for data processing, judging the abnormal levels of the inspection sub-regions in combination with oil and gas key indexes, and performing graded early warning; the system comprises a regional inspection priority adjustment module, a task dynamic planning module and a data processing priority adaptation module. The inspection priority of the inspection sub-regions is dynamically adjusted, the multiple unmanned aerial vehicles are cooperatively scheduled to upload the inspection data in real time, and early warning is performed according to the abnormal levels of the inspection sub-regions, so that the risk troubleshooting efficiency is improved.

Devices, methods, and systems for verification of a visual inspection are described herein. One method for visual inspection verification of a fire alarm system having self-testing components includes using a visual inspection verification software mobile application on a mobile device, a technician selects one or more groups of fire alarm system components within areas of a building for visual inspection, wherein each self-testing fire alarm system component has an associated wireless beacon; and wherein each fire alarm system component having an associated wireless beacon emits a unique identifying signal which can be received by the mobile device when the technician moves the mobile device into a range corresponding to a visual distance of the technician to a particular fire alarm system component emitting the unique identifying signal to verify that a technician has been within the range corresponding to a visual distance of the technician to the particular component.

The invention provides an intelligent gas unmanned inspection method and system based on the Internet of Things, the method is executed by a government safety supervision management platform of the intelligent gas unmanned inspection system based on the Internet of Things, and the method comprises the following steps: obtaining area data of a management area; based on the area data and the traffic data of the management area, whether the management area is determined as a to-be-inspected area is judged; in response to determining the management area as a to-be-inspected area, determining inspection parameters of the to-be-inspected area; the inspection parameters are related to at least one of pipeline monitoring equipment, detection personnel and unmanned inspection equipment; and sending the inspection parameters to a government safety supervision object platform to control at least one of pipeline monitoring equipment, detection personnel and unmanned inspection equipment so as to complete inspection of the to-be-inspected area. Through the above method, polling can be completed in a more targeted and timely manner, so that the polling result is more reliable, and smooth proceeding of subsequent troubleshooting is facilitated.

The invention discloses an intelligent linkage response inspection method integrating traditional security and protection and an unmanned aerial vehicle, and belongs to the technical field of security and protection, and the method comprises the steps: generating a security and protection information graph of a traditional security and protection system in a target region; unmanned aerial vehicle inspection points are set in the target area according to the security information graph, and the unmanned aerial vehicle inspection points are correspondingly marked in the security information graph; acquiring a security analysis result of the traditional security system in real time; identifying the event background probability of each security event in the current background in a preset security event table in real time, and supplementing the event background probability into the security event table; according to the security analysis result and the security event table, dynamically updating the routing inspection priority of the unmanned aerial vehicle routing inspection points, according to the routing inspection priority of each unmanned aerial vehicle routing inspection point, generating a routing inspection route of the unmanned aerial vehicle, and performing routing inspection by the unmanned aerial vehicle according to the routing inspection route; the rapid and flexible movement characteristic of the unmanned aerial vehicle is fully utilized, the unmanned aerial vehicle can rapidly arrive at a designated area for routing inspection, the routing inspection time is greatly shortened, and the overall routing inspection efficiency is remarkably improved.

The invention relates to a bridge inspection method and system and a computer readable storage medium. The inspection method of the bridge comprises the following steps: receiving an inspection task, and driving the inspection device according to the inspection task, so that the inspection device travels along the running guide rail of the bridge; obtaining a sequence image of the bridge surface acquired by the image acquisition assembly; identifying the disease type of the bridge based on the sequence image; and determining geometric feature parameters corresponding to the disease type according to the disease type of the bridge, and determining the severity level of the disease type based on the geometric feature parameters. According to the bridge inspection method, automatic grading evaluation of bridge apparent diseases is facilitated, errors caused by manual judgment are reduced, and the accuracy degree of disease detection is improved.

The invention relates to a power transmission line unmanned aerial vehicle inspection method and device, computer equipment, a computer readable storage medium and a computer program product. The method comprises the following steps: acquiring a to-be-processed inspection task, and selecting a plurality of candidate unmanned aerial vehicles from an unmanned aerial vehicle cluster; obtaining an area mapping model of the target inspection area and an index mapping model of each candidate unmanned aerial vehicle according to the total inspection moment; wherein the area mapping model is used for representing the matching degree of the environment data in the target inspection area and the inspection task to be processed; the index mapping model is used for indicating the operation state of the candidate unmanned aerial vehicle; according to the region mapping model and the index mapping model, dividing the to-be-processed inspection task into a plurality of sub-inspection tasks, and generating sub-task sequence information; and selecting a target unmanned aerial vehicle from the candidate unmanned aerial vehicles according to the sub-task sequence information, and sending the sub-inspection tasks to the corresponding target unmanned aerial vehicles. By adopting the method, the unmanned aerial vehicle cluster cooperative task execution efficiency can be improved.

The invention provides an automatic fire alarm system maintenance management method, system and device and a storage medium, and relates to the technical field of safety management, and the method comprises the steps: obtaining the first position information and environment information of a target detector in an automatic fire alarm system of a chemical plant; determining the importance level of the target detector according to the first position information, and determining a first inspection plan of the target detector according to the importance level; acquiring working parameters of the target detector, and generating an attenuation coefficient of the target detector in combination with the environment information and the working parameters; adjusting the first inspection plan according to the attenuation coefficient to generate a second inspection plan; and obtaining a third inspection plan and second position information of the associated detector of the target detector, adjusting the second inspection plan in combination with the third inspection plan and the second position information, and generating a target inspection plan of the target detector. The technical effect of the invention is that the utilization efficiency of inspection resources is improved.

The invention discloses an intelligent inspection method and system for multi-modal data co-processing, and the method comprises the steps: firstly, obtaining an on-site RGB image frame and an infrared image frame in parallel, carrying out the modal feature extraction and uncertainty quantification of the RGB image frame and the infrared image frame, obtaining the feature vectors and uncertainty scores of the RGB image frame and the infrared image frame, and then employing the uncertainty scores as guidance, and carrying out the recognition of the feature vectors and uncertainty scores of the RGB image frame and the infrared image frame. And performing cross-modal feature interaction based on uncertainty guidance on the RGB feature vectors and the infrared feature vectors to dynamically and robustly fuse information of two modals, and generating a field multi-modal robust fusion representation. According to the feature interaction mechanism based on uncertainty guidance, the system can still keep high robustness and accuracy when the data quality is unstable or part of modals are invalid, a firmer data basis is provided for subsequent tasks, the cognitive ability of the intelligent inspection system to the environment and the accuracy of decision making are remarkably improved, and the method is suitable for popularization and application. And the inspection efficiency and safety are improved.

The invention discloses an inspection robot for a special underground environment of a coal mine and a use method, and relates to the technical field of coal mine safety production. The inspection robot for the special environment of the underground coal mine comprises a walking track and further comprises a walking mechanism, a main body frame, a detection unit, a power supply unit, a communication unit and a pan-tilt shield assembly, the walking mechanism is matched with the walking track to achieve movement, the detection unit achieves instrument image collection through the pan-tilt shield assembly, and the power supply unit supplies power to the main body frame. The power supply unit and the communication unit respectively supply power and transmit data to the whole machine; stable operation in a high-risk environment is ensured by adopting an explosion-proof safety design, high-precision positioning and identification of the instrument are realized through a dynamic search algorithm and an intelligent detection algorithm, unmanned inspection and real-time data transmission functions are realized, a modular structure can be flexibly expanded, various instrument detection requirements can be met, and the system is suitable for popularization and application. And the coal mine inspection efficiency and the intelligent level are obviously improved.

The application discloses a kind of based on near field communication personnel position tracking underground water plant inspection maintenance record method, belong to water plant intelligent management technical field;For the low efficiency of artificial record in the existing underground water plant inspection, satellite positioning is invalid underground, data is difficult to trace and manage, the system includes mobile intelligent control terminal, regional information node deployed at equipment and central processing platform.Method includes: terminal near field reads equipment information in node to accurately position, and combined with multi-mode perception to ensure continuous positioning;Inspection personnel verify identity and enter maintenance data;Terminal uploads data packet associated with identity, location and inspection content to platform;Platform carries out data fusion, associated storage and analysis, realizes the real-time monitoring of inspection process, path traceability and intelligent early warning.The application realizes underground environment high-precision positioning and inspection record automation, improves data accuracy, traceability and water plant management efficiency.

This invention provides a method, apparatus, electronic device, and medium for monitoring terminal inspection, applied to an inspection system connected to multiple monitoring terminals to be inspected. The method includes: acquiring historical service traffic information and real-time network stability information of the inspection system; determining inspection configuration information for the multiple monitoring terminals based on the historical service traffic information and the real-time network stability information, the inspection configuration information including inspection concurrency and inspection time period; and performing inspection on the multiple monitoring terminals according to the inspection configuration information to generate monitoring data for the multiple monitoring terminals. This invention achieves automated generation of inspection configuration information during the inspection process, while improving the concurrency performance of the inspection system, increasing the number of concurrent inspections within a period, and improving inspection efficiency.

The invention discloses an intelligent management and control platform for enterprise safety production, and the platform comprises a multi-mode sensing layer which is used for deploying an industrial camera, a voiceprint sensor, a UWB positioning base station and an equipment Internet of Things sensor, and collecting the equipment state, personnel behavior and environment data in real time; the intelligent center layer comprises a data platform of a federated learning framework, a digital twin engine and a dynamic resource scheduler, and realizes multi-source data fusion and cross-system decision; the service application layer integrates an intelligent inspection system, an intelligent video analysis system, an equipment integrity management system and an emergency response system, and all the systems realize logic interlocking through a knowledge graph; and the display layer is used for providing an AR command terminal and a large visual screen and displaying the equipment health state, risk early warning and task execution progress in real time. According to the invention, through an integrated architecture of sensing, decision making, execution and verification, scattered technical modules are organically integrated to form a closed-loop management and control system, and comprehensive and intelligent enterprise safety production management and control are realized.