57results about "Checking time patrols" patented technology

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.

This invention discloses a method for inspecting the stability of open-pit mine slopes, an inspection device for inspecting the stability of open-pit mine slopes, an inspection equipment, and a computer-readable storage medium. When the inspection equipment arrives at the target monitoring point, the method first confirms the monitoring point through identity recognition and loads the historical measurement data of the monitoring point from the local cache. Then, displacement data, tilt data, location data, and image data are synchronously collected based on a unified timestamp to form raw data records. Next, the raw data records are preprocessed and compared with historical measurement data to calculate the deformation rate and change trend. Finally, the risk level is determined by matching the deformation rate and change trend with a preset graded early warning threshold, and the corresponding graded early warning and data upload operations are executed accordingly. This realizes real-time on-site monitoring and intelligent early warning of slope stability based on mobile inspection equipment.

This invention relates to the technical field of deep integration of radio frequency identification (RFID) technology, indoor positioning technology, and intelligent algorithms. It discloses an RFID point-to-point positioning method and system that integrates inspection behavior characteristics. The method includes: within a single scanning cycle, using a mobile reading terminal to read multiple RFID tags and collect the identification information and multi-dimensional signal characteristics of each tag, including signal strength, TOA timestamp, and reading frequency; based on signal strength and reading frequency, eliminating invalid tags to obtain a candidate tag set; when the candidate tag set contains multiple tags, automatically determining a unique target tag from the multiple tags using a progressive judgment logic, where the inspection route information includes the order of each inspection node and its corresponding path weight; and outputting the physical location corresponding to the target tag as the current location. This invention fundamentally solves the technical problem of not being able to automatically distinguish valid locations when multiple tag signals conflict in traditional RFID tag-based positioning.

The present application relates to model information processing technical field, especially a kind of equipment inspection method and system based on space intelligence, its method is provided with to generate inspection queue associated chain, when generating associated chain, periodically collect several operating data or several fault data of each equipment, and record according to collection period;According to the connection relationship of each equipment, the basic associated chain corresponding to each equipment is formed. Through the grouping of equipment, the associated equipment is synchronously inspected, which avoids the problem that the traditional inspection method cannot determine the equipment failure caused by system problems, at the same time, the equipment is associated by using merging semantics, which avoids the problem of missing equipment operation or equipment failure caused by subjective judgment, thereby effectively determining the mapping relationship between equipment entity and digital model system, at the same time, by using the above method, the inspection queue of equipment can be adjusted through the connection between equipment systems, thereby effectively improving the accuracy of building equipment inspection.

The application discloses a target positioning method and device based on image matching, which comprises the following steps: acquiring a patrol image, reading information of a template region in a template image, performing region matching positioning on the patrol image to determine a potential target region in the patrol image, using a shape matching-based target positioning algorithm, using an HSV color space-based brightness normalization algorithm to normalize the brightness of the potential target region by using the brightness of the template region in the template image, and using a template matching positioning algorithm to perform matching positioning on the potential target region after brightness normalization to determine the accurate position of the target in the patrol image. The application is suitable for outdoor robot patrol scenes in environments with a large number of electric poles, iron towers and transformers, and can solve the problem of target positioning in the case of target detail loss and target local change.

This invention belongs to the field of equipment inspection technology and discloses an intelligent inspection and positioning method and system based on Bluetooth and NFC. The method includes: receiving Bluetooth signals from available Bluetooth devices through an intelligent inspection and positioning terminal, and sorting valid inspection points based on the access time of each Bluetooth signal to generate a time series representing the inspector's movement route, thereby automatically tracking the inspector's movement route; when at least two assigned inspection areas are identified, comparing the number of shared inspection points between different assigned inspection areas with an intersection threshold value to determine key inspection areas or ordinary inspection areas, and then generating an inspection route. This invention reconstructs the inspector's movement route based on the time series of Bluetooth signal access, improving the authenticity and objectivity of the inspector's movement route, and by transforming inspection planning into a dynamic response, improving the overall efficiency and targeting of inspection work.

This utility model relates to the technical field of patrol devices, and discloses a portable patrol device for security guards, including a recorder. The recorder has a detachable and rotatable recorder bracket externally connected to the recorder. A wrist strap is provided on the side of the recorder bracket opposite to the recorder. A light is provided on the top of the recorder. A button light is provided near the button position on the recorder. The recorder body is covered with a transparent silicone shell. This utility model aims to solve the technical problems existing in the patrol devices on the market, which fail to integrate portability, waterproof and dustproof functions and lighting functions, resulting in inconvenience for security guards to carry and low work efficiency. At the same time, the lack of effective waterproof and dustproof performance makes the equipment easy to be damaged and increases the equipment cost.

This application relates to an intelligent inspection method, device, equipment, and storage medium for a chemical equipment production line, applied in the field of computer network operation and maintenance management. The method includes: controlling an image acquisition unit to capture images of the production equipment, obtaining several corresponding production image information; determining whether the production equipment is operating based on the several production image information; if the production equipment is not operating, determining that the production equipment is abnormal; if the production equipment is abnormal, obtaining the corresponding equipment number, generating an alarm signal based on the equipment number, and sending the alarm signal to the operator's intelligent terminal. The technical effect of this application is: improving the accuracy, detail, and timeliness of inspection results.

This invention discloses an intelligent inspection method, device, and equipment for a street lighting system, comprising: acquiring distribution cabinet data from each distribution cabinet and aggregating all distribution cabinet data to generate aggregated data; processing the aggregated data to generate a panoramic status overview interface, and activating corresponding target inspection rules for the distribution cabinets to be inspected according to pre-configured inspection rules; automatically triggering a batch inspection process for the distribution cabinets to be inspected according to the target inspection rules, obtaining inspection results, and generating abnormal status information records when abnormal statuses are found in the inspection results; updating the aggregated data with the abnormal status information records, and analyzing the updated aggregated data to generate abnormal trend prediction and early warning and leakage risk assessment and early warning, and optimizing the inspection parameters in the inspection rules for the corresponding distribution cabinets. This reduces reliance on manual inspection, allows for early detection of potential faults and safety risks, and improves the operational reliability and safety of the street lighting system.

Embodiments of the present application relate to a power facility inspection method, device, equipment and storage medium. The method comprises: acquiring device sensing data collected by a heterogeneous inspection device; performing sensing data analysis on the device sensing data to obtain heterogeneous inspection data; and generating a target inspection result according to the heterogeneous inspection data. The technical solution of the embodiments of the present application can realize automatic adaptation of the heterogeneous inspection device, reduce the management complexity and labor cost of the inspection device, and improve the efficiency, application range and reliability of the power facility inspection.

The application discloses an advertisement screen inspection anti-cheating method and system, a terminal and a storage medium, and comprises the following steps: scanning and connecting an inspected device through an inspection application program; when the connection is successful, sending a detection instruction to an inspected application program in the inspected device; receiving detailed information of the current inspected device returned by the inspected application program, and verifying whether the current inspected device is a target inspected device according to the returned detailed information; if the current inspected device is the target inspected device, the current inspected device is allowed to perform an inspection work. The application utilizes a near field communication function, ensures that an inspector can only perform the inspection work when the inspector correctly arrives near the device, and thus avoids related cheating means.

The application provides a kind of unmanned aerial vehicle and robot dog's joint inspection control method and system, first acquisition inspection reference model and unmanned aerial vehicle inspection data, and using comparison strategy obtains initial task data, based on initial task obtains task cluster data, so that macroscopic abnormality found by unmanned aerial vehicle can be perceived in real time and converted into the task required by robot dog subsequently, then through task cluster data, robot dog waits data is obtained, while constructing solving scheduling objective function, task instruction data is obtained, so that robot dog and unmanned aerial vehicle can execute task instruction data, when multiple points are concurrent, the optimal task allocation of multi-machine cooperation is realized, the utilization rate of inspection resource is improved, then through robot dog and unmanned aerial vehicle, update data is collected, and enhanced data is obtained, finally, the inspection reference can be updated by enhanced update data, to ensure that the real-time updated inspection reference model is provided, to provide more reliable and comprehensive basis for operation and maintenance personnel, to save subsequent operation and maintenance resources.

This invention provides an intelligent inspection system and method for chemical laboratories based on digital twins, belonging to the field of industrial Internet of Things and intelligent safety management technology. The system includes a physical sensing layer, a digital twin engine layer, an intelligent processing layer, and an application interaction layer. The physical sensing layer collects real-time data of the laboratory environment and equipment through a sensor network; the digital twin engine layer constructs a three-dimensional virtual model corresponding to the physical laboratory and displays the data overlay; the intelligent processing layer dynamically plans inspection paths and generates alarms based on real-time and historical data through anomaly pattern recognition and reinforcement learning; the application interaction layer provides a visual inspection interface and safety emergency handling functions. The method includes data acquisition, 3D driving, intelligent analysis, and visualization steps. This invention achieves global perception of laboratory safety status, intelligent risk early warning, and automation of the inspection process, improving the real-time performance, accuracy, and intelligence level of chemical laboratory safety management.

The application relates to the technical field of industrial automation inspection and intelligent security and protection, and discloses a robot inspection method based on alarm self-defined configuration and related equipment, which is used for improving the accuracy of inspection alarm. The robot inspection method based on alarm self-defined configuration comprises the following steps: obtaining self-defined detection task configurations of each point on an inspection path, wherein the configurations comprise at least one detection module bound to each inspection point and a corresponding alarm threshold value of the detection module; according to the self-defined detection task configurations, collecting detection data of each point in real time during the inspection process, comparing the detection data with a preset alarm threshold value, and judging whether an alarm is triggered; if the alarm is triggered, generating a cooperative alarm instruction matched with a target alarm level according to a target alarm level corresponding to the detection data and a response strategy; and executing a hierarchical response operation according to the cooperative alarm instruction.

The application discloses a kind of unmanned aerial vehicle parking inspection photographing method, comprising the following steps: unmanned aerial vehicle gathers parking lot scene image, calibrates parking lot boundary line;Unmanned aerial vehicle flies along the parking lot boundary line, collects parking lot image and is associated with GPS track, analyzes and extracts parking lot position information;Unmanned aerial vehicle executes autonomous charging decision according to remaining power and parking space occupation state;After completing charging or emergency landing, unmanned aerial vehicle enters the target area of inspection, obtains several subareas and establishes the state record table of each subarea;After completing the task of inspection, unmanned aerial vehicle lands and charges, and according to the inspection result of each subarea, the state record table is updated, and the inspection report is generated and uploaded to the cloud.

The application provides a power inspection method, device and equipment based on radar and vision fusion, and relates to the technical field of power inspection. The method comprises the following steps: acquiring radar detection data and image detection data of a target power tower; determining the speed and reflection cross-sectional area of the tower body according to the radar detection data, and determining the position and type probability of the intruder according to the speed and reflection cross-sectional area; segmenting the image of the intruder area from the image detection data according to the position of the intruder; and determining the intruder type based on the image of the intruder area and the type probability. The application can more accurately identify the intruder on the power tower.

Embodiments of the present application provide a device inspection method and system for an industrial site. The method comprises: obtaining inspection task information; using one or more LLMs to determine, according to the inspection task information, a first prompt word for data collection, a second prompt word for model calling, and a third prompt word for model diagnostic analysis; using one or more LLMs to collect running state data of a device in the industrial site based on the first prompt word; using one or more LLMs to select and call one or more applicable models from a plurality of preset AI models based on the second prompt word; for a currently called model, determining, by the model, a corresponding model diagnostic analysis plan based on the third prompt word corresponding to the model, and analyzing the collected running state data of the device based on the model diagnostic analysis plan to obtain a state diagnostic result of the device. Embodiments of the present application can realize automatic and refined planning of an inspection task.

The application discloses a substation unmanned aerial vehicle inspection service flow dynamic derivation and optimization method, which is driven by an inspection service flow dynamic derivation and optimization model. First, the input layer receives the multimodal input data of the substation and performs semantic unification and weighted fusion. Then, the processing layer performs trigger identification and selects multiple candidate variant service flows. The decision layer performs multi-objective quantitative evaluation and selects the optimal service flow. The execution layer converts the optimal service flow into unmanned aerial vehicle inspection actions and control instructions, collects multimodal inspection logs, and finally generates an inspection report and calculates a reward value. According to the reward value, the parameters of the inspection service flow dynamic derivation and optimization model are fine-tuned online. The application proposes a large model driven dynamic derivation and reinforcement learning closed loop optimization mechanism, which enables the inspection service flow to automatically derive a new version according to the multimodal trigger condition, and continuously evolves through actual flight logs, achieving higher coverage, lower missed detection rate and better energy consumption performance.

The application relates to the technical field of unmanned aerial vehicle inspection, in particular to an unmanned aerial vehicle inspection method and system based on power grid data, an electronic device and a medium, which are based on a resonance suppression circuit and comprise the following steps: calling historical fault records and associated sensor data of power equipment; constructing a three-dimensional model of a power grid site according to collected environment point cloud data and equipment coordinate data; calling historical power consumption records of each affected power consumption area through a data interface; calculating characteristic values of each power equipment according to each historical power consumption record; extracting component images of each maintenance component from power equipment images; and determining a target shooting point of the unmanned aerial vehicle by comparing the component images with corresponding reference clear images. In this way, the technical problem that the existing unmanned aerial vehicle inspection technology lacks intelligent decision-making capability of an inspection sequence is solved, and the intelligent level, resource utilization efficiency and hidden danger discovery capability of the unmanned aerial vehicle inspection are improved.

The application discloses a hybrid inspection robot and a bionic positioning device thereof, and belongs to the technical field of inspection robots. The hybrid inspection robot comprises a robot body, a hybrid moving mechanism, a bionic positioning device and a control mechanism. The hybrid moving mechanism is composed of a wheeled moving component and a tracked moving component. The intelligent sensing and decision-making capability of the control mechanism is combined, the adaptive switching of the motion mode of the inspection robot under different road conditions is realized, and the passability and energy efficiency ratio of the robot under complex environments are significantly improved.

This invention provides an automated safety inspection system for high-altitude operations, comprising a personnel verification module for identity and status verification, a personnel positioning module for acquiring real-time location information, an environmental perception module for confirming whether safe operating conditions are met based on real-time parameters of the working environment, a working facility inspection module for confirming whether the working facilities are in a safe state, a personnel protection inspection module for confirming whether personal protective equipment is in a safe state, a video monitoring module for real-time monitoring, and a voice interaction module for anomaly alerts. This invention activates each module sequentially in a hierarchical manner; only when the previous step passes verification can the next step be activated, thus preventing violations at the source. Simultaneously, it achieves real-time voice warnings of potential hazards and full-process visual monitoring of operations, comprehensively improving the accuracy and timeliness of high-altitude operation safety management and reducing the probability of accidents.

This application provides a method, apparatus, and processor for determining the completion rate of pipeline inspection. The method includes: preprocessing pipeline vibration signals acquired in real-time when a target user performs pipeline inspection work according to a preset inspection task; inputting the preprocessed pipeline vibration signals into a waterfall plot to generate a pipeline vibration image; inputting the pipeline vibration image into an image recognition model to output the vibration time period, vibration location, and signal type of the pipeline vibration signal; determining the actual number of taps corresponding to the vibration location and vibration time period when the signal type is a preset type; acquiring the corresponding target number of taps when the vibration location is an inspection location in a preset inspection task; determining the target user's attendance information at the vibration location based on the actual number of taps and the target number of taps; and determining the completion rate of the pipeline inspection work performed by the target user based on the attendance information, thereby accurately determining the inspection status and improving attendance accuracy.

The utility model relates to electronic equipment technical field, and disclose a kind of positioning inspection terminal for intelligent building patrol system, including inspection terminal body, and its one end outer wall is equipped with winding box, and winding spring is fixed outside central column in box and is connected with pull cord, and pull cord is equipped with limit locking hole and limit push head cooperation limit, and the upper and lower sides of body are respectively equipped with sliding bar and second sliding bar, and connect upper protective shell and lower protective shell, and buffer spring is equipped in lower protective shell, and the device is through pull cord winding limit structure, cooperation self-locking hook, can quickly adjust terminal position, improve complex scene inspection efficiency, and the three-dimensional protection design of upper and lower protective shell combines buffer spring, effectively protect internal element, avoid data loss and upper and lower protective shell adopt sliding connection and bolt fixed mode, convenient to disassemble overhaul, reduce equipment operation difficulty, and the positioning inspection terminal effectively solves the problems, such as weak protection of traditional terminal, inconvenient inspection, maintenance difficulty, improve inspection efficiency and equipment reliability.

The present application provides a kind of railway intelligent robot inspection system and method, belong to the technical field of Internet of Things, to improve the inspection efficiency of railway intelligent robot.The method comprises: railway intelligent inspection terminal determines to move to preset position, and preset position is the position that railway intelligent inspection terminal can communicate with the nearest two collection devices;Railway intelligent inspection terminal initiates paging to target collection device, and in the case where collection device is paged, railway intelligent inspection terminal reads collection information from target collection device, and target collection device is any one in the communication of two collection devices;Railway intelligent inspection terminal determines the railway state information in the monitoring range of target collection device according to collection information.

The application relates to the technical field of image processing, and discloses a kind of unmanned aerial vehicle inspection method and device of photovoltaic power station.The method comprises: carrying out multimodal imaging scanning to photovoltaic module, and carrying out time correlation processing to scanning data and electrical parameter data by IEEE1588 clock synchronization protocol, to obtain synchronous detection data package;Synchronous detection data package is processed by feature recognition through multidimensional feature extraction algorithm, and is processed by mapping correlation with electrical parameter, to obtain component health assessment model;Component health assessment model is processed by abnormal feature recognition through historical data comparison algorithm, to obtain component diagnosis data package;Component diagnosis data package is processed by area weight calculation to carry out inspection parameter adjustment, to obtain inspection strategy data package.The application improves the efficiency and accuracy of unmanned aerial vehicle inspection of photovoltaic power station.

The application relates to the field of intelligent traffic inspection, and discloses an intelligent inspection data collection and structured processing method for multistage highways, which comprises the following steps: acquiring a local road section subgraph and calculating a graph structure uncertainty adjustment sampling rate; filtering out dynamic targets and extracting background features to construct an implicit topological sequence; using disease foreground features as temporary spatial anchor points to repair sequence breaks caused by occlusion; using a DTW algorithm to backtrack an optimal path to realize cross-period spatiotemporal topological alignment; constructing a dynamic spatiotemporal knowledge graph and performing multi-hop aggregation and updating through an ST-GNN; combining administrative management levels to reconstruct alarm weights and trigger state adaptive reconstruction. Through an end-cloud collaborative mechanism and a graph reconstruction mechanism, the application overcomes the problems of occluded sequence interruption and cross-period positioning drift, realizes deep integration of physical degradation and industry management standards, and improves the data structured precision and decision efficiency of multistage highway inspection.

The application relates to the field of electric power inspection, in particular to an underground electric power tunnel inspection system and method based on a fixed digital optical cable, which comprises an inspection platform module, an optical cable communication module, an image calibration module, an information fusion module and a tunnel monitoring module; the inspection platform module is used for constructing a mobile inspection platform; the optical cable communication module is used for providing energy and a communication link for the inspection platform; the image calibration module is used for reconstructing a tunnel model; the information fusion module is used for fusing sensor data and generating a physical model; and the tunnel monitoring module is used for monitoring abnormal phenomena in a tunnel. The application can solve the problems of data conflicts, noises and redundancies caused in the inspection process, improve sensor data quality and data fusion precision, reduce data redundancy, reduce the risk of electric leakage in the inspection process, improve the automation and intelligent level of underground electric power tunnel operation and maintenance, and has high precision and strong robustness.

This application relates to an intelligent linkage inspection method for converter station equipment faults. The method includes: acquiring the operating data of the converter station equipment corresponding to the power grid converter station equipment; in the event of abnormal data in the converter station equipment operating data, initiating an intelligent linkage inspection mode for the power grid converter station equipment; in the intelligent linkage inspection mode, selecting at least two real inspection points from a real inspection point database, generating at least two power grid converter station inspection paths based on the selected real inspection points, and selecting the power grid converter station inspection path that meets preset conditions as the target converter station inspection path based on a path selection algorithm; issuing inspection instructions to the inspection robot located at the power grid converter station equipment location according to the target converter station inspection path, and receiving power grid converter station fault data collected by the inspection robot. This method can ensure the safety and reliability of converter station operation and improve the efficiency of daily power grid operation and maintenance.