460results about How to "Finish quickly" patented technology

The invention discloses an AI spraying system control method capable of achieving autonomous 3D scanning, and the method comprises the steps: obtaining three-dimensional surface data of a to-be-coated workpiece through high-precision 3D scanning equipment, constructing a surface model of the workpiece according to the data, and extracting surface feature parameters. Coating parameters set by a user are received, the coating parameters comprise the viscosity, the chemical property and the film thickness requirement of paint, the surface characteristic parameters and the coating parameters are input into the spraying optimization model, and an initial spraying track and technological parameters are generated through calculation in combination with historical data. Environment parameters are collected and associated with the initial process parameters, and the adjusted spraying track and the adjusted process parameters are generated through dynamic environment compensation. And through a robot control system, coating operation is executed according to the adjusted parameters, the spraying effect is optimized in real time, and it is ensured that the surface of the workpiece is evenly coated. Efficient automation of the spraying process is achieved, the coating quality and consistency are remarkably improved, and the automatic spraying device is particularly suitable for coating of workpieces with complex curved surfaces or changeable shapes.

The invention relates to the technical field of server scheduling, and discloses a large model reasoning scheduling method based on an off-network computing power server, which comprises the following steps of: collecting hardware information of the off-network computing power server, and constructing a server resource vector; decomposing a large model reasoning task into a plurality of sub-tasks, and constructing task modeling; according to the hardware information of the off-network server and the task dependency relationship, performing task division by using an optimization method; performing dynamic task scheduling on the sub-tasks based on the current load state of the server; according to the real-time calculation load of the server, dynamically migrating part of tasks to other servers to ensure the load balance among the servers; and executing the distributed task, monitoring the running state of the server and the task completion condition, and dynamically adjusting a task distribution strategy according to feedback data. Through modeling task requirements and server resources, in combination with real-time monitoring and optimal scheduling, efficient calculation and resource utilization maximization of large model reasoning in an off-network environment are realized.

The invention relates to the technical field of short message channel testing, and discloses a short message channel testing configuration method, device and equipment and a storage medium, and the method comprises the following steps: firstly verifying user login information and distributing authority, then extracting and screening channel information from a database based on the authority, and presenting a result in a paging mode. A user can input channel configuration information, and the database is updated after verification. The system then generates an association configuration with the engine user based on the updated channel information. And establishing a TCP / IP Socket communication session and acquiring a session identifier according to the channel selected by the user and the associated configuration. And the system receives the test short message content input by the user, packages the test short message content and the session identifier into a sending request, and sends and records a result through the communication session. According to the method, the channel configuration information can be managed in a centralized manner, a visual user interface is provided, flexible query and screening functions are supported, and an automatic test process can be realized.

The invention discloses a pushing support structure spanning a high-speed large-span steel box girder and a construction method, and relates to the technical field of steel box girder construction. Comprising an assembling support and a pushing support, and the assembling support and the pushing support are arranged at the bottom of a steel box girder; the assembling support comprises a concrete independent foundation, a temporary support is installed on the concrete independent foundation, and a profile steel distribution beam is installed on the top of the temporary support. The pushing support comprises a concrete enlarged foundation, multiple sets of stand columns are installed on the concrete enlarged foundation, and transverse distribution beams are installed at the tops of the stand columns. A longitudinal pushing platform is mounted at the top of the transverse distribution beam, and a walking type pushing piece is fixedly mounted on the longitudinal pushing platform; a plurality of groups of steel box girders are arranged, and at least six steel box girders are spliced in each group; the steel box girders are distributed in an arc shape; a guide beam is installed in the advancing direction of the steel box beam. According to the steel box girder pushing support structure system, highway passing is not affected, and the steel box girder pushing support structure system is economical, firm and stable.

The invention relates to a dynamic optimization system and method for an intelligent operation and maintenance path of a photovoltaic base station. Real-time data are accessed and processed by using a data integration platform; the electronic map building module is used for calling the existing map service, marking on the map and dynamically updating the detailed information of the base station in real time to generate an electronic map; acquiring system work order data and work order task priority data in real time by using a work order acquisition module; selecting a corresponding path planning strategy by using a path planning optimization module, and for a single task, calculating an optimal path by using an A * algorithm; for multiple tasks, a priority weighted summation method is used for sorting, and then a path is planned; for new tasks, dynamically adjusting the task sequence and performing path fine adjustment; and finally, displaying the operation and maintenance path in real time by using a visual navigation module and navigating. Through multi-source data fusion and an intelligent algorithm, operation and maintenance path planning is optimized, task scheduling and path planning are dynamically adjusted according to real-time conditions, and it is ensured that tasks are efficiently completed.

The invention discloses an administrative human resource management data platform system, which comprises at least two heterogeneous systems, wherein the heterogeneous systems relate to personnel information and personnel authority; the application management module ensures that a heterogeneous system registered and authorized in the system can access and synchronize employee data; only the registered and authorized heterogeneous system can access and synchronize employee data; the role management association setting module is used for uniformly maintaining and distributing roles and permissions of the heterogeneous system; the data synchronization module is used for automatically guaranteeing real-time updating and consistency of data through a standardized interface; the system not only can improve the management efficiency of enterprises, administrative functional departments, commercial institutions, financial institutions and other enterprises and realize refined authority control of new and old employees, but also can enhance the security and compliance of authority setting, so that the system is convenient to use and popularize. And the automatic process can effectively reduce human errors, and improve the satisfaction and productivity of employees at the same time.

The invention provides a wind generating set blade interior inspection robot, and relates to the technical field of wind power generation, the wind generating set blade interior inspection robot comprises a robot body, the robot body is composed of a Mecanum wheel chassis, a robot tower bottom cabinet and a robot cabin cabinet, and the robot tower bottom cabinet is arranged at the top end of the Mecanum wheel chassis; a robot cabin cabinet is arranged at the top end of the robot tower bottom cabinet, and a monitoring sensing device is arranged on the outer side of the robot cabin cabinet. According to the invention, the monitoring sensing device is arranged, and the interior of the cabin of the generator set is effectively monitored by monitoring the operation of a sensor, so that the problems that the existing wind turbine generator inspection robot is mainly an unmanned aerial vehicle, and the appearance and blades of the wind turbine generator are monitored in the prior art are effectively improved; the problems that the interiors of the wind turbine generator blades cannot be continuously monitored in real time, and meanwhile, the interiors and important positions of the wind turbine generator blades cannot be monitored and daily maintenance requirements cannot be met are solved.

The invention, which relates to the technical field of intelligent fault diagnosis and remote maintenance, discloses a convenient-to-maintain dry type distribution box comprising a sensing monitoring module, a main control module, a wireless communication module and a cloud computing module. The sensing monitoring module acquires temperature, humidity, current and voltage data in the distribution box in real time, the master control module processes the data, performs preliminary fault detection and interacts with the cloud computing module through the wireless communication module, and the cloud computing module is responsible for further processing of the data, fault diagnosis, state display and fault report generation; the fault diagnosis method comprises the steps of feature extraction, fault detection, fault positioning, severity evaluation, fault knowledge base construction and maintenance scheme generation. Finally, an operator can output a control instruction according to the fault report, thereby achieving the intelligent maintenance and management of the distribution box. The maintenance difficulty of an existing distribution box is greatly reduced.

The invention relates to the technical field of tire simulation design, in particular to a tire pattern longitudinal groove edge optimization design method and system and a computer program product. The method comprises the following steps: extracting actual grounding pressure data of a tire; establishing a pattern block geometric plane model, and applying proper boundary conditions; according to the condition of non-uniform grounding pressure distribution, the shape of the contact surface of the pattern block is adjusted to realize uniform distribution; the grounding pressure distribution of the edge of the pattern block is optimized by minimizing a grounding pressure skewness value; and finally, calculating and adjusting the outer contour curve of the tire to realize final optimization design. According to the method, the road holding force, the controllability and the driving stability of the tire can be remarkably improved, the service life is prolonged, the modeling and calculation time is relatively low, and the design and development cost is remarkably reduced.

The invention provides a scrubber which comprises a scrubber body and a floor brush structure arranged below the scrubber body. The sewage tank is arranged on the machine body, and a first storage cavity of the sewage tank communicates with a sewage suction opening of the floor brush structure; the dust collection box is arranged on the machine body, and the sewage tank and the dust collection box are arranged at intervals; the dust collection structure is movably arranged on the machine body, and a dust collection opening of the dust collection structure communicates with the second storage cavity of the dust collection box; when the floor washing machine is in a floor washing mode, dirt on the ground is sucked into the first storage cavity through a dirt suction opening of the floor brush structure; when the scrubber is in the dust collection mode, dust is sucked into the second storage cavity through the dust collection opening of the dust collection structure. By means of the floor washing machine, the technical problem that when a multifunctional floor washing machine in the prior art achieves switching of the floor washing function and the dust collection function, parts need to be replaced is effectively solved.

The invention discloses a cruise path planning system and method for an intelligent shifting vehicle, and the method comprises the steps: collecting static and dynamic obstacle information in real time through a laser sensor, a monocular camera and a depth camera, and carrying out the processing through Kalman filtering, thereby obtaining precise obstacle information; a static path planning algorithm is adopted on a known map, and an initial path is found; historical pedestrian flow information in different time periods and seasons is collected, and the predicted pedestrian density on a specific route in a future period of time is analyzed by using a convolutional neural model; and optimizing path planning according to the predicted pedestrian density and the accurate obstacle information. Static and dynamic obstacle information in the environment is collected in real time through multiple sensors, Kalman filtering is used for data fusion and processing, historical pedestrian flow information is collected, deep learning analysis is carried out through a convolutional neural network, path planning is made to be based on current obstacle information, the pedestrian high density is predicted, and path planning precision is improved. Congested road sections are avoided in advance, and the perspectiveness and rationality of path planning are improved.

The invention discloses a method for rapidly measuring cracks of a concrete structure. The method comprises the following steps: S1, selecting a test part; s2, cleaning the surface of the concrete; s3, arranging ultrasonic measuring points; s4, connecting the probe with the equipment; s5, performing cross-seam ultrasonic testing and non-cross-seam ultrasonic testing respectively; s6, recording the test distance when the head wave is inverted; s7, the actual sound wave propagation distance and the concrete sound velocity of each non-cross-joint measuring point are solved; and S8, calculation is conducted according to a crack depth formula, in the step S1, the positions of steel bars in the concrete structure are avoided when test parts are selected, and the test parts are the two walls of the concrete structure. According to the rapid measuring method for the concrete structure crack, when the surface of the concrete is polished through the grinding wheel, dust and particulate matter can be prevented from entering the concrete crack in the polishing process, so that the crack does not need to be cleaned after polishing, and the working efficiency is improved. Therefore, the crack of the concrete structure can be measured quickly.

The utility model discloses a solid garbage box, a sewage tank and cleaning equipment, the solid garbage box comprises a box body, a first filtering device and a second filtering device, and the box body is provided with a sewage inlet and a sewage outlet; the first filtering device is arranged in the box body and is positioned between the sewage inlet and the sewage outlet; the second filtering device is detachably arranged in the box body and is positioned between the sewage inlet and the first filtering device; when the second filtering device is arranged in the box body, dirt entering from the sewage inlet is filtered by the second filtering device and then flows to the sewage outlet through the first filtering device. According to the technical scheme, the cleaning time of a user on the filtering device in the cleaning process can be shortened, and the user can use the cleaning equipment to finish the cleaning task more quickly.

The present disclosure relates to a semiconductor device patch device and a patch method. The device includes a patch assembly, and the patch assembly includes a patch head. The patch head includes: a patch tool for bonding semiconductor devices; a patch head driving mechanism, which is used to drive the patch tool in a horizontal plane to align the patch position of the semiconductor device relative to the substrate when the semiconductor device is kept above the patch position. The patch assembly includes a patch assembly driver, which is used to vertically drive the patch head to pick up the semiconductor device and bond the semiconductor device at the bonding position. The device includes a camera assembly, which includes: an alignment camera, which is used to capture a reference view of the semiconductor device and the bonding position, and a camera assembly driving mechanism, which is used to drive the alignment camera to position the alignment camera between the patch tool and the patch position. Based on the reference view, the semiconductor device is aligned relative to the bonding position.

The invention discloses a self-adaptive wrapping profiling extrusion deep-grain walnut shell breaking machine which comprises a shell, a feeding hopper, a rack, a positioning conveying device, a shell breaking device, a power device, a locking device, a material collecting groove and a discharging hopper. The rack comprises a pair of L-shaped supports and a frame installed between the L-shaped supports, and the sheet metal parts are fixed to the periphery of the frame to form a shell. The whole machine is compact in structure and small in occupied space, the quantity of walnuts fed into the positioning conveying device can be adjusted during shell breaking processing, matching of the feeding quantity and the output quantity is achieved, and the working efficiency of the machine is improved; the self-adaptive clamp can adapt to different types of walnuts with different appearance characteristics, so that self-adaptive profiling wrapping in a real sense is realized; the contour cam is matched with the self-adaptive clamp to work, the self-adaptive clamp can quickly complete or release self-locking according to the extrusion requirement, and the requirement for high-speed operation of a machine is met.

The present invention relates to the technical field of SMS channel testing, and discloses a method, device, equipment and storage medium for SMS channel testing configuration. The method first verifies user login information and assigns permissions, then extracts and filters channel information from a database based on the permissions, and presents the results in a paged manner. The user can input channel configuration information, and the database is updated after verification. The system then generates an associated configuration with the engine user based on the updated channel information. According to the channel and associated configuration selected by the user, a TCP / IP Socket communication session is established and a session identifier is obtained. The system receives the test SMS content input by the user, encapsulates it and the session identifier into a sending request, sends it through the communication session, and records the results. The present invention can centrally manage channel configuration information, provide an intuitive user interface, support flexible query and screening functions, and realize an automated test process.

The invention discloses O-shaped ring whole mold full-inspection equipment and a detection method thereof. The O-shaped ring whole mold full-inspection equipment comprises a detection table; the mounting table is fixedly mounted at the top of the detection table; the translation turnover mechanism is fixedly connected to the top of the detection table; the fixing tool is fixedly mounted in the translation turnover mechanism; the detection mechanism is located at the top of the fixing tool, and the top of the detection mechanism is fixedly connected with the bottom of the mounting table; and the positioning mechanism is located at the bottom of the fixing tool, and the bottom of the positioning mechanism is fixedly connected with the top of the detection table. The invention aims to solve the technical problems that when the existing O-shaped ring detection equipment is used for detecting the surface defects of the O-shaped ring, the O-shaped ring and a die of the O-shaped ring are inconvenient to automatically turn over and discharge, and manual work is needed to participate in turning and discharging operation, so that the labor cost is increased, and the detection efficiency of the surface defects of the O-shaped ring is reduced.

The utility model discloses an intelligent garage thrust car stopping mechanism, which belongs to the technical field of intelligent garage equipment and comprises a frame body, a turning cover is movably mounted on one side of the top of the frame body, a car stopping roller is rotatably mounted at the bottom of the turning cover, and a linear gear reducer is fixedly mounted in an inner cavity of the frame body. A motor push rod is installed on the linear gear reducer in a matched mode, a transmission assembly is arranged between the turning cover and the motor push rod, one end of the motor push rod is used for turning the roller through the transmission assembly, and an auxiliary supporting assembly is installed in the inner cavity of the frame body and located on one side of the linear gear reducer. By simplifying the structure and optimizing space utilization and debugging and maintenance modes, the overall performance and reliability of equipment are improved, the requirements of practical application are met, the design has remarkable advantages in the aspects of simplifying operation and reducing cost and maintenance difficulty, and an efficient and reliable car arrester solution is provided for the market.

The invention provides an unmanned aerial vehicle intelligent adaptive scheduling method and system based on a large model, and the method comprises the steps: carrying out the type selection of a large model according to the specific task demands and computing resources of an unmanned aerial vehicle system, and carrying out the fine adjustment of a specific task field of the selected large model; integrating a plurality of professional models for executing different task requirements in the unmanned aerial vehicle system; for different task scenes, large model analysis judges whether a specific professional model needs to be activated or not, and the professional model is selected for task processing when needed; the large model confirms a professional model needing to be called, and automatically extracts and transmits required parameters to the professional model based on the collected environment information and task instructions; and the professional model receives the parameter information transmitted by the large model, executes the corresponding subtask, and feeds back an execution result to the large model, so that the large model performs continuous learning optimization. According to the invention, the unmanned aerial vehicle can complete the task more quickly, and the accuracy and reliability of task completion are improved.

The invention discloses a seedling transplanting device and a seedling transplanting method for sweet potato planting, and relates to the field of agricultural planting equipment. A seedling inserting device for sweet potato planting comprises a movable base and further comprises a supporting cylinder fixedly installed on the movable base, and U-shaped grooves allowing planted sweet potato seedlings to pass through are symmetrically formed in the two sides of the lower end of the supporting cylinder; the seedling inserting cylinder is arranged in the supporting cylinder and is connected to the supporting cylinder in a lifting manner; water is sprayed to the inner wall of the seedling inserting cylinder, so that a thin water film is formed on the inner wall of the seedling inserting cylinder, friction force between seedlings and the seedling inserting cylinder is effectively reduced, the seedlings can more smoothly fall into soil through the seedling inserting cylinder, epidermal tissues of the seedlings are prevented from being damaged by friction, and the survival rate of the seedlings is increased; and redundant water sprayed to the inner wall of the seedling inserting cylinder is condensed into water drops which fall onto soil, so that the soil around the root system of the seedling is wetted, the survival of the seedling is facilitated, and the survival rate of the seedling is improved.

The invention relates to the technical field of green belt trimming application, in particular to an automatic highway green belt trimming device which comprises a cross beam, a limiting assembly, a trimming assembly and a smashing assembly.The automatic highway green belt trimming device is exquisite in design, compact in size and capable of working under the condition of not occupying too much space; the cross beam serves as a main structural part, the supporting legs are vertically fixed to the bottom end of the cross beam, the advancing wheels are installed at the bottom ends of the supporting legs, and through the design, the device can move front and back on an expressway without occupying too much lane space, pruning work can be completed without arranging a roadblock, integration of a hub motor enables the advancing wheels to have the self-walking function, and the practicability is high. Therefore, the trimming device can move autonomously without additional traction or pushing force, the self-walking function greatly improves the efficiency of trimming operation, reduces the labor intensity of workers, and enables the trimming operation to be more flexible and quicker.

The present invention relates to the field of intelligent navigation technology, and discloses a safe operation intelligent navigation system, including: a GPS module, used to obtain the position coordinates of an operation point; a detection module, used to detect the real-time environmental data of the operation point; a marking module, used to obtain the safety assessment value of the operation point according to the real-time environmental data; the safety assessment value is compared with the safety assessment threshold, and the safe operation point is marked according to the comparison result; a path generation module, used to obtain the operation plan of the operation point, determine the operation priority and operation time of the safe operation point according to the operation plan; generate a navigation path traversing each safe operation point according to the position coordinates, the operation priority and the operation time; a navigation module, used to navigate the operator according to the navigation path to complete the operation of each safe operation point. The present invention provides the operator with an optimal navigation path by integrating multiple modules, and improves the accuracy and reliability of the operation.

The invention relates to the technical field of safety protection, and discloses a system for realizing password resetting automation through an RPA technology, and the system comprises a demand analysis module which is used for analyzing and understanding an existing password resetting process, and determining the applicability and optimization point of application RPA; the flow design module is used for designing an automatic processing flow and rule and ensuring the safety and accuracy of the flow; the technology type selection module is used for selecting proper RPA robot software and engine and determining development and implementation schemes; the development environment building module is used for configuring a development environment and preparing software and hardware facilities required by development; through the developed RPA robot, preset automatic tasks can be continuously executed in an all-weather mode, the manual operation time is greatly shortened, and therefore the working efficiency is remarkably improved. By means of the automatic processing, a large amount of repeated and tedious work can be rapidly completed, and workers can concentrate on more valuable work.

The invention discloses a robot grabbed object selection method based on image recognition, and relates to the technical field of robot visual recognition and grabbing. Firstly, a depth camera is regulated and controlled to shoot according to a working scene and workpiece characteristics to obtain a to-be-processed image, then the image is preprocessed, a connected domain is extracted, the area is calculated through pixel point counting and shape fitting, and threshold screening is determined according to the clamping jaw size and the pre-stored surface area. And then determining a connected domain contour depth extreme point, calculating a depth ratio, determining an optimal clamping point according to workpiece characteristics, constructing a clamping plane, and calculating a grabbing distance. Finally, the clamping priority is calculated by integrating the area of the connected domain, the depth ratio and the grabbing distance in a weighted mode, and the optimal grabbing object is determined. The method can effectively solve the problems of workpiece stacking shielding, uneven illumination and interference, the calculation amount is reduced, and the robot grabbing precision and efficiency are improved.

The utility model discloses hair dye production raw material mixing equipment which comprises a feeding mechanism, a mixing tank, a weighing table and a charging basket, the mixing tank is fixed on the operation frame, and the feeding mechanism is fixed on one side of the mixing tank; the feeding mechanism comprises a supporting column and a cross beam fixed to the top of the supporting column, and the supporting column is higher than the operation frame. And a lifting module for driving the charging basket to lift and a translation module for driving the lifting module to translate are arranged below the cross beam. According to the scheme, the feeding mechanism is a semi-automatic feeding mechanism, manual weighing and batching are conducted, and then mechanical transportation is conducted. The labor intensity of manual carrying is greatly reduced, and the feeding task can be completed more quickly. And the material barrel is easy to clean and high in adaptability, and raw materials can be rapidly adjusted or changed according to different production requirements.

The invention discloses a cast-in-place construction method for a pre-tensioning prestressed precast beam. The cast-in-place construction method for the precast beam comprises the following specific steps that S1, construction preparation is conducted; s2, placing the steel strands and the stirrups; s3, steel strands are laid and tensioned; s4, installing a beam end mold; s5, steel bars are manufactured and bound; s6, side formwork installation; s7, concrete pouring, wherein concrete is poured through a hopper or an automobile pump; s8, formwork removal, beam lifting and hoisting are conducted; a prestressed beam production line is arranged on site, a high-strength concrete plate strip is adopted as a table top for production and resistance to huge tension, the production efficiency is improved to the maximum extent, the one-time input cost is reduced as much as possible by selecting a permanent and temporary combination mode with an original road, and the problem of quality guarantee of precast beams produced on site is solved; the construction period of the pre-tensioning method prestressed precast beam is relatively short, the engineering task can be completed more quickly, and the construction cost is reduced.

The invention relates to the technical field of computer vision recognition, in particular to a rice disease recognition method based on computer vision, which comprises the following steps: acquiring image data of rice leaves, and preprocessing the image data, including size standardization, color correction, noise removal and execution of data enhancement; the image data is rotated, zoomed and overturned to generate an additional training sample, a pre-trained convolutional neural network model is selected by using a transmission learning technology and is finely adjusted to adapt to a rice disease identification task, and the identification accuracy is improved by integrating prediction results of a plurality of models, so that the accuracy of rice disease identification is improved. According to the method, potential problems can be found earlier, the probability of missed diagnosis and misdiagnosis is reduced, the computer vision recognition technology can provide intelligent decision support for agricultural production, farmers are helped to better manage and prevent diseases, and the yield and quality of crops are improved.

The invention discloses a railway wagon axle external dimension automatic measurement system and method, and the system comprises an axle transmission line which extends in the X-axis direction, the feeding end of the axle transmission line is provided with an axle feeding and correcting mechanism, and an axle external dimension measurement work station is arranged beside the axle transmission line. The axle external dimension measuring workstation comprises a base, a lifting platform capable of moving in the Z-axis direction is arranged on the base, and two positioning roller carriers used for supporting and positioning an axle and a portal frame extending in the Y-axis direction are arranged on the lifting platform. The portal frame is provided with an on-line projection image measuring instrument and a grating ruler which can move in the Y-axis direction. The axle measurement efficiency can be greatly improved, the manual measurement cost is reduced, and the product quality consistency is improved.

The utility model relates to the technical field of shrimp cake preparation, and discloses a pancake machine for shrimp cake preparation, which comprises a fixed bottom plate, a turntable is rotatably connected to the center of the top of the fixed bottom plate, a plurality of fixed seats are arranged at the edge of the top of the turntable at equal intervals in a surrounding manner, the tops of the fixed seats are rotatably connected with a heating plate I, and the heating plate II is rotatably connected with the top of the turntable. A mud flat mechanism is arranged on the side, close to the center of a rotating disc shaft, of the fixing base, vertical plates are symmetrically arranged on the two sides of the rotating disc, triangular plates are fixedly connected to the sides, away from each other, of the vertical plates, and a feeding mechanism and an auxiliary pancake mechanism are arranged on the other sides of the two vertical plates correspondingly. According to the automatic pancake frying machine, the frying mechanism is used for frying materials, the materials are evenly beaded through the beach mechanism, the first heating disc can evenly heat the materials conveniently, then the auxiliary pancake frying mechanism is used for shortening the frying time, pancake frying work can be rapidly and accurately completed, and time and manpower waste in traditional manual operation is avoided.

The invention relates to the technical field of electric power material storage warehouse inspection, in particular to an intelligent inspection system of an electric power material storage warehouse, which comprises a database module used for storing comprehensive information of the electric power material storage warehouse, and a model construction module used for constructing a three-dimensional space model of the electric power material storage warehouse according to the comprehensive information; according to the invention, the feature vectors of the plurality of sub-tasks in each inspection area are constructed and the plurality of sub-tasks are clustered, so that a plurality of relatively balanced task sets can be obtained, the plurality of sub-tasks can be reasonably distributed, all unmanned aerial vehicles in the inspection area can be utilized to the maximum extent, the operation efficiency of the unmanned aerial vehicles is improved, and the working efficiency of the unmanned aerial vehicles is improved. According to the method, the unmanned aerial vehicle can inspect more sub-tasks within the average flight duration, path planning can be carried out on the task set, the shooting point position path and the inspection path of the sub-tasks are balanced, and integrity and continuity of inspection data corresponding to each sub-task are facilitated while the inspection efficiency is ensured.