16results about How to "Comprehensive inspection" patented technology

The invention belongs to the technical field of unmanned aerial vehicle inspection, and particularly provides a photovoltaic power station inspection method and system based on an unmanned aerial vehicle and a GIS, and the method comprises the steps: obtaining initial geographic information data of a photovoltaic power station, enabling the unmanned aerial vehicle to execute initial surveying and mapping flight, collecting high-resolution image data, and constructing a three-dimensional model of the photovoltaic power station; fusing the high-resolution image data with the initial geographic information data to generate a multi-factor initial intelligent inspection path; the unmanned aerial vehicle flies along the initial intelligent inspection path, collects multi-modal data of the photovoltaic module, and transmits the multi-modal data to a GIS for data fusion and updating to obtain fused data; generating a fault distribution thermodynamic diagram and a maintenance priority map; the inspection path is dynamically adjusted, and the three-dimensional model of the photovoltaic power station is updated. According to the method and the system, comprehensive inspection can be carried out on the photovoltaic power station, the inspection accuracy and efficiency are improved, the inspection path can be dynamically adjusted, unnecessary repeated inspection is reduced, and the inspection cost is effectively reduced.

The invention relates to the technical field of electric power facility fault detection, and discloses an electric power facility multispectral remote sensing inspection and fault diagnosis method, and the method comprises the steps: carrying a multispectral remote sensing device through an unmanned plane platform to obtain multispectral image data of an electric power facility, and carrying out the preprocessing to extract spectral features; and constructing a spectral feature analysis model to evaluate the health condition of the electric power facility, constructing a fault diagnosis model in combination with historical fault data, and determining the fault type and position. In order to optimize the fault diagnosis process, fault diagnosis is modeled as a Markov decision process, and the accuracy and efficiency of fault diagnosis are improved by defining a state space, an action space, a reward function and an output strategy and continuously optimizing decision actions by using a reinforcement learning algorithm. According to the invention, intelligent and automatic inspection and fault diagnosis of the electric power facility are realized, powerful technical support is provided for safe and stable operation of the electric power facility, and the method has wide application prospect and important practical value.

The invention provides a road inspection method and device, a storage medium and electronic equipment, and the method comprises the steps: obtaining a plurality of inspection points on a target road, determining a vehicle inspection position point according to each inspection point, the vehicle inspection position point being a position where an image collection device of an automatic driving vehicle can shoot the inspection point, the inspection points are in one-to-one correspondence with the vehicle inspection position points; adopting a heuristic search algorithm to calculate and obtain an inspection route at least according to all the vehicle inspection position points; and controlling the automatic driving vehicle to inspect the inspection points in sequence according to the inspection route to obtain corresponding inspection images, uploading all the inspection images to a back-end server to determine an inspection result, and inspecting the target road. The method has higher stability, can adapt to more extreme working environments and collect more stable detection data, and meanwhile, the automatic driving vehicle is provided with various abundant high-precision sensors, so that target defects and quality can be monitored more comprehensively.

The invention is suitable for the technical field of unmanned aerial vehicle routing inspection, and provides a water conservancy and hydropower building construction self-adaptive routing inspection unmanned aerial vehicle path planning method and system, and the method comprises the following steps: building a dynamic four-dimensional environment model based on an airborne multi-source sensor of an unmanned aerial vehicle and construction plan data; based on the dynamic four-dimensional environment model, a preset key inspection point and a path fitting algorithm, generating a three-dimensional space path matched with the surface form of the terrain building; when the unmanned aerial vehicle executes an inspection task, sensing environment change in real time, and when an unforeseen obstacle is recognized or dynamic update sent by a construction BIM management system is received, performing local path re-planning based on a composite cost function; according to the invention, the environment information and the construction plan data acquired by the airborne multi-source sensor of the unmanned aerial vehicle can be fused in real time, and the dynamic change of the construction environment is accurately reflected. And local path re-planning is carried out based on the composite cost function, so that the unmanned aerial vehicle can avoid obstacles in time, and smooth completion of an inspection task is ensured.

The embodiment of the invention discloses a method and device for dynamically adjusting an external resistance test of a locomotive intelligent driving system, and the method comprises the steps: determining a test line and a test scene, and selecting a resistance model calibration library corresponding to the test line and the test scene; according to the test line and the resistance model calibration library, determining a combination sequence of calibration values at each to-be-tested position of the test line; and adjusting an output value of the locomotive resistance simulation model at each to-be-tested position of the test circuit according to the combined sequence, and completing the external resistance test of the test circuit in the test scene. By means of the mode, the total train resistance output after injection resistance calibration in a simulation test can be close to the actual on-site effect, the locomotive intelligent driving control capacity can be better verified, and a locomotive intelligent driving system can be conveniently and more comprehensively verified.

The utility model discloses a mining area sampling device which is characterized in that a handle and moving wheels are matched to drive a flat plate to move in an area to be detected, a driving motor I is started after the flat plate moves to a sampling position, a drilling part is driven to move downwards through rotation of a rotating stud I to drill soil, and then the drilling part is reset; the whole device is continuously moved to enable the sampling part to be aligned with the hole position, and then the sampling part penetrates into the hole through a driving motor II and a rotating stud II to perform multi-layer sampling on the soil, so that the inspection is more comprehensive.

The utility model belongs to the technical field of inspection, and particularly relates to an inspection robot with a derailment protection structure, which comprises a slide rail and an inspection module, a turntable is detachably fixed at the bottom of the inspection module, a first mounting plate is fixed at the bottom of the turntable in a threaded manner, and a second mounting plate is fixed at the bottom of the turntable. Positioning plates are fixed to the two sides of the bottom of the first mounting plate in a threaded mode, the positioning plates are evenly distributed on the two sides of the sliding rail, two connecting shafts are fixed to the opposite sides of the two positioning plates in a threaded mode, and rolling wheels are fixed to the other sides of the connecting shafts through bearings; connecting plates are fixedly arranged at the two ends of the positioning plate, a main scraping plate is fixedly arranged on the sides, away from the rolling wheels, of the connecting plates, and an auxiliary scraping plate is fixedly arranged at the bottom of the main scraping plate; according to the invention, the rotary table can drive the inspection module to rotate, so that the interior of the sliding groove is firstly scraped and cleaned when the roller moves, the influence of sundries in the sliding groove on the roller can be avoided, and the visual line range during inspection is wider due to the fact that the rotary table can drive the inspection module to rotate.

A new energy station safety inspection management system disclosed by the present invention comprises an intelligent control terminal and an inspection device, the intelligent control terminal comprises a task scheduling and management module, an intelligent data analysis platform and a remote monitoring center, and the inspection device and the task scheduling and management module are both in signal connection with the remote monitoring center. Through integration of advanced inspection equipment, an intelligent data analysis platform, a remote monitoring center and a task scheduling and management module, efficient, comprehensive and real-time inspection of new energy station facilities is realized. According to the system, the inspection efficiency and accuracy are improved, the labor cost is reduced, the safety and stability of the station facilities are enhanced, and a powerful guarantee is provided for sustainable development of the new energy industry.

This invention discloses a method, equipment, and storage medium for selecting favorable areas of low-permeability carbonate gas reservoirs based on intuitionistic fuzzy multi-attribute boundary approximation region comparison (MABAC). Specifically, it includes the following steps: S1, screening key indicators of carbonate gas reservoirs for favorable area selection; S2, determining attribute weights based on the Brown-Warshall Method (BWM); S3, establishing a favorable area selection model for low-permeability carbonate gas reservoirs using the intuitionistic fuzzy multi-attribute boundary approximation region comparison method (MABAC); S4, calculating conditional probabilities, and then ranking the decision objectives included in the positive, boundary, and negative domains to obtain the favorable area selection results. This invention can simultaneously consider the influence of multiple factors on different schemes and grasp the priority relationship between factors.

The utility model discloses a boiler inspection device, which relates to the technical field of inspection devices and comprises a base, sliding tables are fixedly connected to the left side and the right side of the top of the base, a roll shaft is rotatably connected to the front side between the two sliding tables, a rotating assembly is arranged between the two sliding tables and on the rear side of the roll shaft, and a lifting assembly is arranged on the top of the base and on the rear side of the rotating assembly. The lifting assembly comprises a supporting block fixedly connected to the top of the base, a first notch is formed in the middle of the front side of the supporting block, sliding rails are fixedly connected to the front side of the supporting block and the left side and the right side of the first notch, limiting blocks are fixedly connected to the upper ends and the lower ends of the two sliding rails, moving blocks are slidably connected to the surfaces of the two sliding rails, and a detection assembly is arranged on the front sides of the moving blocks. The device has the advantages that compared with a knocking mode, gas is injected into the boiler, whether gas leakage points exist in all parts of the boiler or not can be comprehensively detected, and the conditions include tiny gas leakage points and insufficient local pressure.

This utility model discloses a touch screen bonding bubble inspection device, including a base plate. An electric push rod is fixedly installed in the center of the top of the base plate. Support frames located on both sides of the electric push rod are fixedly installed on the top of the base plate. A fixed bracket located behind the support frames is fixedly installed on the top of the base plate. An LED light source is movably mounted on the top of the fixed bracket. A placement platform is fixedly installed on the top of the support frames. A placement groove is formed on the top of the placement platform. A telescopic cylinder is fixedly installed through the bottom of the placement groove. A lifting plate located between the two support frames is fixedly installed at the movable end of the top of the electric push rod. A telescopic rod is fixedly installed on the top of the lifting plate. The air pressure inside the telescopic cylinder decreases, and the screen is fixed in the placement groove under negative pressure, ensuring that the screen is fixed without obstructing it, thus allowing for more comprehensive inspection.

This invention relates to a method for fine-grained route planning in power distribution networks based on insulator detection. The method includes: constructing and training an insulator detection model based on an improved YOLOv7 model, then deploying the model on a drone; performing fine-grained route planning: cleaning the power distribution network point cloud data and tower inspection tables; then planning coarse waypoints and routes based on the usable data obtained from the data cleaning; continuously capturing images and detecting insulators using the insulator detection model during the drone's inspection flight along the preset route; when an insulator is detected, adjusting the drone's position in real time and using that position as a new waypoint for fine-grained route planning; after the flight mission ends, using the captured insulator images as new samples for training the model; and simultaneously using the newly generated fine-grained waypoints and routes as coarse waypoints and routes for the next flight mission. This method can be used for fully autonomous drone inspection operations.

The invention relates to the technical field of robots, in particular to an artificial intelligence ethical risk and prevention virtual simulation method and system and a robot. S1, data are input based on an existing inspection framework, and multiple pieces of artificial intelligence inspection alternative data are input; wherein input data of the ethical inspection framework comprises a universal basic motion mode and a plurality of emergency processing modes based on different scenes; s2, acquiring an artificial intelligence operation path and scene data; s3, rule risk judgment: sequentially judging whether the multiple pieces of acquired scene data are consistent or not through an artificial intelligence ethical rule in multiple artificial intelligence alternative rules; data can be rapidly collected and analyzed through the data collection element, equipment faults can be found and processed in time, the inspection efficiency is improved, the robot can work in dark, humid, poisonous and harmful severe environments, and the risk of manual inspection is reduced.

The invention provides a mouth gag for digital oral cavity restoration, and belongs to the technical field of medical instruments. Comprising a connecting plate, the connecting plate is arranged to be in a semi-ring shape, the two ends of the opening side of the connecting plate are connected with biting block pieces through moving assemblies, the two sets of biting block pieces are oppositely arranged, and when the connecting plate is horizontally placed, the moving assemblies can make the two sets of biting block pieces relatively move at the ends of the connecting plate; each moving assembly comprises a shell, a first piston plate and a piston rod, the shape of the first piston plate is matched with the inner section of the shell, the first piston plate is installed in the shell in a matched mode, one end of the piston rod is fixedly connected with the first piston plate, and the other end of the piston rod penetrates through the shell and is connected with the biting block piece; by arranging the two sets of biting block pieces, in actual use, the two sets of biting block pieces can be alternately supported in the oral cavity of a patient, so that the oral cavity supporting point position of the patient can be replaced, and medical staff can comprehensively examine the oral cavity of the patient.

The invention discloses a preparation and inspection method of salmon emulsion gel for improving dysphagia, relates to the technical field of preparation and inspection of protein emulsion gel, and solves the problems of dysphagia due to diet rich in protein and insufficient functional fatty acid intake of most of old people. And a salmon emulsion gel product performance verification system is not sound. On the molecular level, a large-size myofibrillar protein filament aggregate is converted into nano-sized myofibrillar micelles, the nano-sized myofibrillar micelles are dissociated in oil and are connected and aggregated with other proteins, and the molecular mechanism of the nano-sized myofibrillar micelles in the aspects of stabilization of salmon emulsion gel and thickening of texture can improve the stability of the salmon emulsion gel. The salmon emulsion gel product can be used for changing the structure and the self-assembly characteristic of protein, effective and comprehensive inspection is carried out on the salmon emulsion gel product, and the effect of improving dysphagia of the salmon emulsion gel product is strongly proved.