27results about How to "Save inspection time" patented technology

The invention provides a distribution network line routing inspection path planning method based on a gas-electric hybrid unmanned aerial vehicle, which combines geographic information system data and power equipment information to construct a three-dimensional geographic information model, and determines a routing inspection sequence through a scientific and reasonable region division and scoring mechanism. Meanwhile, detailed path evaluation is carried out on the key inspection points and reachable inspection sub-paths of each sub-region, an optimal inspection sub-path is selected by adopting a comprehensive scoring model, and finally an optimal inspection total path passing through all the key inspection points is generated, so that the overall inspection time is greatly shortened, and the inspection efficiency is improved. According to the method, position coordinates and residual energy consumption information of the unmanned aerial vehicle are monitored in real time, so that continuity and safety of inspection work are ensured.

The invention discloses a building inspection method, device and system based on a BIM technology, and relates to the technical field of building inspection, and the method comprises the steps: obtaining an original BIM model of a building; the original BIM model of the building is preprocessed, and the inner wall and the outer wall of the building are screened out through semantic information of the BIM model; calculating the size of the view field of the unmanned aerial vehicle camera; performing gridding processing on the to-be-inspected area model to obtain a gridding BIM model of the building; determining a waypoint of the unmanned aerial vehicle; solving the shortest path in the waypoints of all the unmanned aerial vehicles by using a genetic algorithm; testing the maximum flight distance of the unmanned aerial vehicle with the single battery, and dividing the whole route into a plurality of route sections by using the maximum distance to obtain an optimal path; and calculating and converting the unmanned aerial vehicle route task parameters under the BIM coordinate system. By arranging the model construction module and the path calculation module, the inspection time is effectively saved, and the image quality and the overall coverage rate are improved.

The invention relates to the technical field of robots, and discloses a robot leg walking mechanism and a quadruped robot, the robot leg walking mechanism comprises a plurality of big arms, one side of each big arm is connected with a floating assembly, the floating assembly comprises a connecting box and an air bag, the connecting box is fixedly connected with one side of the big arm, and a placing groove is formed in the side, away from the big arm, of the connecting box; an air bag is fixedly connected into the containing groove, one side of the big arm is sequentially connected with an inflation assembly, a deflation assembly and an air injection assembly from top to bottom, and one side of the connecting box is connected with a closing assembly. According to the robot leg walking mechanism and the quadruped robot, by means of the floating assembly, the quadruped robot can keep floating in a deep water area, so that a robot body is prevented from being completely immersed in water, the risk that a camera lens is stained with water is reduced, and the quality and accuracy of real-time image transmission are ensured; therefore, a clear visual field and stable walking capability are provided for the quadruped robot, visual misjudgment or distortion can be reduced, and the accuracy and efficiency of inspection tasks are improved.

The invention provides a multi-unmanned aerial vehicle three-dimensional inspection method and system based on an improved simulated annealing algorithm, and the method comprises the steps: dispatching an unmanned aerial vehicle to collect point cloud data of a region needing inspection, processing the obtained point cloud data, and obtaining the three-dimensional coordinate data of an unmanned aerial vehicle inspection point; according to the intensive degree of the inspection data points and the number of the inspection unmanned aerial vehicles, adopting a K-means + + algorithm to allocate inspection tasks of the unmanned aerial vehicles; and after the routing inspection tasks of the unmanned aerial vehicles are distributed, according to the task routing inspection point three-dimensional coordinates of the unmanned aerial vehicles, an improved simulated annealing algorithm is adopted to optimize routing inspection tracks of all the unmanned aerial vehicles. According to the invention, after the point cloud data is acquired through the unmanned aerial vehicles to obtain the three-dimensional coordinates of the target point needing to be inspected, the inspection task area of each unmanned aerial vehicle is optimized through the clustering method, and then the inspection three-dimensional track of each unmanned aerial vehicle is optimized by adopting the improved simulated annealing algorithm, so that the total inspection time is minimized.

The invention relates to the technical field of power transmission line operation and maintenance, and discloses an ultra-high voltage line lead inspection method based on unmanned aerial vehicle line simulation inspection, which comprises the following steps of: taking a strand of ground lead between a starting tower and a target tower as an inspection unit, and performing line simulation inspection on the basis of each frame of image in a video stream acquired by an unmanned aerial vehicle in real time; distinguishing each power line in each strand of ground wire in the current frame image, combining every two detection frames corresponding to the two adjacent power lines into a candidate frame according to the positions of the plurality of power lines in the current frame image from top to bottom, and taking the candidate frame in the middle as a target frame; at the moment of each frame of image in a video stream acquired by the unmanned aerial vehicle in real time, taking the target frame of the current frame of image as a reference, calculating the height difference between the center of the target frame and the center of the current frame of image in real time, adjusting the working angle of the unmanned aerial vehicle, and keeping the height of the center of the target frame of the current frame of image consistent with the height of the center of the current frame of image; and inspecting the ground wire corresponding to the current inspection unit.

The invention discloses a remote sensing image dynamic data processing system and method based on data analysis, and belongs to the technical field of traffic. A display device database is constructed; road condition information of the inspection robot arriving at the display device is obtained, and the optimal route is selected to run to the position of the display device; constructing a multiple linear regression model, updating the acquisition frequency of the display equipment, and acquiring a remote sensing image of an image displayed by the display equipment; extracting a display image, and calculating an error value between the remote sensing image and the display image; when the error value is greater than or equal to an error threshold value, the position information of the display equipment is sent to a control center, a feedback detection result is abnormal, and a maintainer is pre-warned to carry out maintenance evaluation on site; when the inspection robot does not receive the maintenance assessment feedback within the specified time, secondary early warning is triggered to remind an administrator that the display equipment is not subjected to maintenance assessment; therefore, the inspection time is saved, and early warning of abnormal conditions is realized.

The invention relates to the technical field of intelligent inspection, and discloses an intelligent automatic inspection vehicle based on AI vision and an inspection system thereof.The intelligent automatic inspection vehicle comprises a vehicle body, a connecting shaft is rotationally connected to the bottom of the vehicle body, wheels are fixedly connected to the two ends of the connecting shaft, and a plurality of supporting plates are sequentially arranged at the top of the vehicle body; one end of a long rod is fixedly connected to the outer wall of the supporting plate on one side, the other end of the long rod sequentially penetrates through the multiple supporting plates and is fixedly connected with a camera, an image acquisition module and an environment sensor module are carried on the surface of the supporting plate on the other side, and an intelligent inspection system is carried in the vehicle body. The system is used for inspecting the external environment. The image information of the equipment can be quickly acquired and instantly analyzed through the data acquisition and processing module, and information including the appearance state of the equipment and instrument reading can be identified in a short time, so that the inspection time is shortened, and the overall inspection efficiency is improved.

The invention discloses a pipeline inspection method. The method comprises the following steps: forming an abnormal hidden danger image data set, and dividing into a training set and a test set; performing target detection regression training on the training set by using a single-stage target detection technology and an unsupervised anomaly monitoring technology, and then performing evaluation by using the test set to obtain a pipeline inspection model; and inputting a to-be-detected pipeline inspection image into the pipeline inspection model for detection, and obtaining an abnormal detection result. The method has the advantages that the abnormal phenomena around the oil and gas pipeline can be accurately recognized, the abnormal event recognition efficiency is greatly improved, and the false alarm situation existing in target recognition is reduced. The influence caused by environmental factors can be reduced, the labor intensity is reduced, the safety of line patrol operators is improved, and the cost is reduced. The risk factors can be quickly and accurately searched and identified, so that the positive effects of reducing cost, improving efficiency, reducing economic loss and avoiding casualties are achieved.

The present application belongs to the technical field of battery equalization device, especially relates to a lead-acid battery equalization device. The present application comprises: a processor module, a measurement battery selection module, a battery parameter storage module, an analog power supply module, a power module, a first charge-discharge circuit module, a second charge-discharge circuit module, and a communication module; the measurement battery selection module, the battery parameter storage module, the analog power supply module, the power module, the first charge-discharge circuit module, the second charge-discharge circuit module, and the communication module are respectively connected with the processor module; the processor module selects the first charge-discharge circuit module or the second charge-discharge circuit module through the measurement battery selection module to realize independent charge-discharge of single batteries; the first charge-discharge circuit module and the second charge-discharge circuit module sample and calculate the battery voltage in real time through the processor module to trigger the equalization operation. The present application is modularized and multi-node collaborative to realize precise charge-discharge control and real-time state monitoring.

The application discloses a photovoltaic inverter layered distributed installation layout optimization method convenient for operation and maintenance and upgrading, constructs a three-layer linkage architecture of a centralized management layer, a regional control layer and a device execution layer, the regional control layer automatically scans a photovoltaic inverter NFC electronic tag through a dynamic topology identification mechanism, realizes plug-and-play of the device and second-level topology updating, a master and standby regional control unit adopts an incremental snapshot synchronization technology, completes non-perception switching within millisecond-level time, and ensures continuity of control instructions, the system adopts an operation and maintenance efficiency index dynamic optimization algorithm, forms an adaptive optimal layout scheme, a five-dimensional health degree evaluation model is constructed by combining DC side attenuation and MPPT deviation, early warning and pre-maintenance of device failure are realized, a time-space separation gray upgrade strategy combined with power generation power prediction is deployed, batch upgrading is realized, and automatic function verification and rollback are realized, and zero risk in the upgrading process is ensured. The application solves the technical problems of static rigidity of a traditional layout and concentrated upgrading risks.

The present application relates to a multi-UAV trajectory planning method and device applicable to large-area power transmission lines, the method comprising obtaining inspection area information and inspection task information; constructing a transmission line topology map of the area to be inspected based on the inspection area information and the inspection task information, dividing the transmission line topology map into inspection route units and assigning UAVs based on the path optimization model; planning the first flight trajectory of each UAV based on the transmission tower coordinates, cable length and parking point coordinates in a single inspection route unit; judging the type of the current inspection target based on the image collected by the UAV and executing the corresponding inspection strategy respectively. By dividing the transmission line into several inspection route units, the method enables multiple UAVs to perform inspections and take photos in parallel, which can efficiently and quickly complete their respective inspection tasks, save inspection time, and effectively improve inspection efficiency. At the same time, the flight trajectory is corrected for different inspection route units in a targeted manner to achieve refined inspections and improve the quality of line inspections.

The invention relates to the technical field of substations, and discloses an intelligent substation flexible configuration visual modeling analysis system which comprises a control center, a visual modeling module, a network topology modeling module, a flow model parameter setting module, a link flow management module, a flow visualization module, a link network time delay analysis module and an inspection module. The control center is respectively connected with the visual modeling module, the network topology modeling module, the flow model parameter setting module, the link flow management module and the link network delay analysis module, the link flow management module is also connected with the flow visualization module, and the control center is connected with the inspection module through the server. According to the method, visual modeling analysis is provided for intelligent substation equipment configuration modeling, flow model parameter setting, network topology modeling and link flow simulation monitoring, the problem of network delay is solved, the substation network structure is optimized, the stable operation level of substation equipment is improved, and technical support is provided for substation fault analysis.

The present application relates to the technical field of industrial unmanned aerial vehicle application and intelligent scheduling, and particularly discloses an unmanned aerial vehicle highway inspection task intelligent planning management system, which comprises a task input module, an intelligent planning engine, a task execution management module, a data hub and a feedback optimization module; the task input module receives and checks and analyzes inspection task requirements and highway basic information; the intelligent planning engine decomposes task priorities based on highway multi-dimensional attributes, dynamically allocates unmanned aerial vehicle resources and generates an optimal path meeting multiple constraints; the task execution management module issues adaptive instructions, monitors unmanned aerial vehicle states and processes inspection data; the data hub uniformly stores whole-process data; and the feedback optimization module optimizes a decision model based on historical data. The present application improves inspection planning accuracy and resource utilization, guarantees data quality, realizes self-evolution and ensures efficient and reliable highway inspection.

This utility model provides a quick-install bearing housing, relating to the field of bearing housing technology, comprising: a bearing housing body; two end cap bodies symmetrically bolted to the outside of the bearing housing body; both end cap bodies being aligned with the bearing housing body; four threaded through holes arranged in a rectangular array on the outside of the bearing housing body; two sets of mounting grooves arranged in a symmetrical annular array on the outside of the bearing housing body; control slide plates slidably connected within each of the two sets of mounting grooves; and the two sets of control slide plates being aligned with the positions of the two end cap bodies respectively. When installing the end cap bodies onto the bearing housing body, if the bolts are not tightened sufficiently, the control slide plates cannot be fully compressed, and the warning slide plate will be exposed. This solves the problem that to prevent the end caps from loosening, it is usually necessary to use a torque handle to check the bolt torque one by one, or to disassemble the end caps to check the internal fit, which is a rather cumbersome operation.

The invention discloses an optical cable capable of being remotely inspected and a detection method thereof, and belongs to the technical field of optical cable preparation, the optical cable comprises an optical unit and an outer sheath arranged on the periphery of the optical unit, and an induction electric unit is further arranged between the optical unit and the outer sheath and can make contact with the external environment when the outer sheath is damaged. According to the optical cable capable of being remotely inspected, the induction electric unit is arranged in the outer sheath of the optical cable, when the outer sheath of the wire of the induction electric unit is damaged and exposed to the outside, a pulse signal is input into the wire through a TDR instrument, and other undamaged parts form an insulating section under the protection of the outer sheath, so that the wire is not damaged; the damaged part of the wire is in direct contact with air to form a conducting state, so that the property change of an insulating medium of the induction electric unit is caused, the propagation speed and the reflection waveform of a pulse signal at the damaged part are further influenced, and a worker can quickly obtain the damaged part of the optical cable through the change position of the reflection waveform; and the inspection time of the damaged part of the optical cable is greatly reduced.

The application discloses a hilly and mountainous natural rubber plantation intelligent inspection method and device, relates to the technical field of forestry and agricultural intelligence equipment, and solves the problems of low artificial inspection efficiency of the existing rubber plantation and insufficient unmanned aerial vehicle under-forest monitoring. The device is based on a four-legged walking platform, integrates a navigation module, a data acquisition module and a pest condition detection module; the method generates an inspection route and a tree body database, fuses positioning walking, RGB preliminary screening-high spectrum accurate detection, multi-source data fusion to obtain a comprehensive risk value, divides levels and generates a report. The device can adapt to a 25-35 degree slope, the positioning error is less than or equal to 5 cm, accurate identification of diseases and insect pests and quantitative monitoring of insect conditions are realized, autonomous return is supported, and the inspection efficiency and accuracy are improved.

The invention relates to the technical field of intelligent remote inspection, and discloses a distributed AI intelligent remote inspection method and system based on edge computing, and the method comprises the steps: obtaining an inspection region set, carrying out the region sorting of the inspection region set, obtaining an ordered inspection region set, sequentially extracting an ordered inspection region from the ordered inspection region set, and storing the ordered inspection region in a database; performing the following operations on the extracted ordered inspection areas: obtaining electromagnetic interference intensity of the ordered inspection areas, setting an optimal inspection path, confirming the state of a lighting module, performing line inspection, obtaining a line image set, performing insulation skin damage point identification on a corrected image, obtaining a damaged area set, and obtaining a voltage intensity set of the damaged area set; and maintaining the damaged area to obtain a maintenance area, constructing a maintenance database based on a maintenance area set, and completing distributed AI intelligent remote inspection based on edge calculation based on the maintenance database. According to the invention, the efficiency and reliability of remote inspection can be improved.

The invention provides a water leakage identification method and related equipment. The method comprises the following steps: acquiring an image at a first pipeline to obtain a first image; identifying the first image by using a trained identification model to obtain a first result; responding to the condition that the first result is water leakage, continuously obtaining the image of the first pipeline, and obtaining at least one second image; identifying each second image by using the trained identification model to obtain at least one second result; and identifying the water leakage condition of the first pipeline based on the second result. According to the embodiment of the invention, the real-time inspection and analysis of the pipeline state are realized, the water leakage point is found and alarmed in time, and the response speed and accuracy of inspection are improved. Even if the signal of the underground powerhouse is not good, the defect judgment can be made in the equipment, and the integrity of the inspection range is kept.

This application relates to a drone-nested power distribution application system and method based on power grid drone inspection, comprising an automatic drone nesting unit, a drone swarm, an edge computing unit, a collaborative scheduling unit, and an intelligent application unit. Each unit is connected to the dedicated power grid via a dual-link redundant transmission through a 5G network. The automatic drone nesting unit provides the drone swarm with automatic take-off and landing, intelligent power replenishment, and environmental adaptive protection. The drone swarm is equipped with multimodal sensors to collect images of distribution network equipment and environmental data. The edge computing unit, integrated within the drone nesting unit, performs multimodal data fusion, defect identification, and online incremental algorithm updates. The collaborative scheduling unit, based on a digital twin model of the distribution network, achieves unified scheduling, spatiotemporal isolation, and emergency response for multiple drones and tasks. The intelligent application unit seamlessly integrates with the power grid management platform to achieve task distribution and closed-loop processing of work orders. This application significantly improves inspection efficiency and defect identification accuracy while reducing operation and maintenance costs.

The utility model provides a silicon wafer cleaning device which comprises an ultrasonic generator, a current detector, a controller and an alarm, when the ultrasonic generator breaks down, current in a power supply circuit becomes small, the current detector detects that the current in the power supply circuit becomes small and is lower than a preset value, the current detector sends a current signal, and the alarm gives an alarm. The controller receives the current signal and controls the alarm to work according to the current signal so as to prompt an operator that the ultrasonic generator breaks down, so that the operator can handle the fault in time, on one hand, the inspection time of the operator in the production process is shortened, and the labor intensity of the operator is reduced; operators can utilize most of the time in other operations in the production process, and the productivity of a production line is improved. And on the other hand, the situation that the silicon wafer is disqualified in cleaning after the ultrasonic generator breaks down, consequently, the silicon wafer is smudged on a large scale, and the yield of follow-up production products is affected is avoided, namely the yield of the products produced by the production line is guaranteed.

The utility model belongs to the technical field of fire fighting equipment, and particularly relates to a novel indoor fire hydrant box which comprises a box body, a cabinet door, a fire hose, a water gun and a fire hydrant opening, a fire hose storage device is arranged in the box body, and the fire hose storage device and a placing table can store and store the fire hose in order. A water level observation hole is formed in the fire hydrant opening, the fire hydrant opening is connected with a pressure gauge device, and the cabinet door is connected to the box body in an up-down sliding mode; the fire hose storage device and the placing table are arranged in the box body, so that a fire hose and a water gun can be stored in order; a water level observation and pressure gauge device is arranged on the fire hydrant opening, water pressure is detected in real time, and the equipment inspection time is greatly shortened; the cabinet door is slidably connected with the box body and can be vertically opened and closed, interference of a traditional cabinet door on fire extinguishing work is effectively avoided, and the fire extinguishing device is more practical and efficient.

This utility model discloses an oil flow filtration and flow rate display device, comprising a single-cylinder filter, a flow rate display device, and a dustproof plug connected sequentially via an oil pipe. The flow rate display device includes an acrylic housing with a hollow center. An impeller is rotatably connected within the hollow cavity. The acrylic housing has inlet and outlet ports with quick-connect couplings at both ends. The dustproof plug is located at the bearing lubrication point. This device allows inspectors to quickly and accurately determine the operating status, oil flow, oil pressure, and oil quality of an oil station (pump), avoiding equipment malfunctions caused by misjudgments based solely on experience. This significantly improves the accuracy of inspectors' judgments and reduces their inspection time.

The invention discloses an electrical inspection mobile device, which belongs to the technical field of electrical inspection, and comprises an inspection vehicle body, a storage box arranged on the inspection vehicle body, and a storage box arranged on the inspection vehicle body and internally provided with a candidate cavity and a to-be-discharged cavity which are communicated with each other; the multiple positioning boxes are movably arranged in the storage box, and positioning lamps are arranged on the positioning boxes; the transmission mechanism is arranged in the candidate cavity; the leading-out mechanism is arranged in the to-be-discharged cavity; according to the scheme, the inspection vehicle body is moved to the site of the pressure regulating station for mobile inspection, so that the mode of mainly performing on-site inspection through walking of operators at present is avoided, and the efficiency is high; after the equipment fault is detected, the guiding-out mechanism drives the positioning box to move downwards to fall on the ground, so that subsequent workers can conveniently, visually and quickly find the fault position in time, time and energy are reduced, loss is reduced, and the possibility of occurrence of a greater fault is reduced; and the inspection vehicle body can continuously inspect and can position and mark a plurality of fault positions, so that the safety of the pressure regulating station is improved.

The invention relates to the field of safety, and discloses a safety management method and system based on artificial intelligence and big data, and the method comprises the steps that a safety inspection point management module generates a safety inspection point initial sequence according to safety inspection point information, and obtains safety inspection range information according to the safety inspection point initial sequence; dividing the safety inspection range according to the inspection range of the inspection module to obtain a plurality of sub safety inspection ranges, obtaining a safety inspection point sequence corresponding to the sub safety inspection range according to the safety inspection points contained in each sub safety range, and forming a safety inspection point inspection sequence by all the safety inspection point sequences corresponding to the sub safety inspection ranges; and obtaining inspection module information and inspection task information, obtaining inspection distribution information according to the inspection task information and the security inspection point inspection sequence, and completing security inspection of all sub security inspection ranges.

The present invention discloses a visual orientation method for unmanned aerial vehicle distribution network pole tower inspection, including a visual positioning method for the current pole tower orientation, and a direction correction method for the lower base pole tower to autonomously find the tower; the position of the pole tower is determined by adding an identification frame outside the insulator on the distribution network pole tower column photographed by the unmanned aerial vehicle; the current pole tower orientation is judged according to the direction of the connecting vertical line; an identification frame is added to the current pole tower, cross arm, and overhead wire image; the direction of automatic tower search is corrected during the adaptive inspection process; the position of the pole tower identification frame and the overhead wire identification frame are combined to assist the unmanned aerial vehicle to accurately confirm the position of the lower base pole tower and fly along the wire to the top of the lower base pole tower. The above method is used in combination, firstly the current pole tower orientation is located according to the insulator of the current pole tower, and then this is used as a reference to provide azimuth calibration for the lower base pole tower in combination with the cross arm and wire direction of the current pole tower, effectively improving the route accuracy of the unmanned aerial vehicle autonomous pole tower inspection.

A helium detection device for porous grid plate parts comprises four parts: a plurality of sealing mechanisms (13), a support plate (12), a connecting bolt (11) and a vacuum chamber. The vacuum chamber comprises a vacuum chamber body (8), a sealing ring (10) and a C-type quick pneumatic joint (9). The vacuum chamber body (8) is a closed cavity. The upper end of the vacuum chamber body (8) is open. One end of the opening is sealed and connected to a flange (81). An annular groove is provided on the upper surface of the flange (81) at a set distance from the opening. The sealing ring (10) is placed in the annular groove. The flange (81) has a plurality of flange through holes (811) on the edge. The opening size of the vacuum chamber body (8) is smaller than that of the grid plate (14) to be tested. A through hole is provided on one side of the vacuum chamber body (8) for sealing connection with the C-type quick pneumatic joint (9). The invention has a simple structure and is easy to operate. It solves the problem of helium sealing detection of porous grid plates, makes sealing detection of porous grid plates convenient, fast and highly accurate, and saves detection working time.

The utility model relates to an unmanned aerial vehicle intelligent inspection platform for a transformer substation under strong electromagnetic interference. The problems that in the prior art, an inspection unmanned aerial vehicle loses signals easily due to strong electromagnetic interference of a transformer substation, and data acquisition is not comprehensive enough are solved. The system comprises an inspection unmanned aerial vehicle, the inspection unmanned aerial vehicle is in signal connection with an inspection robot arranged in each transformer substation, the inspection unmanned aerial vehicle is provided with an unmanned aerial vehicle inspection collection device and a signal receiving and transmitting assembly, the signal receiving and transmitting assembly is connected with an inspection control platform, and the inspection control platform is connected with a data monitoring management center. The inspection unmanned aerial vehicle is provided with an environment monitoring and early warning device, and the inspection robot forms an RTK base station network and transmits positioning signals to the inspection unmanned aerial vehicle. The utility model has the advantages that high-precision navigation and positioning can be realized for the inspection unmanned aerial vehicle, the situation that the unmanned aerial vehicle loses signals and is disconnected is avoided, the inspection data acquisition is wider, and the use effect is good.