80results about How to "Addressing Adaptive Issues" patented technology

The invention relates to the technical field of constructional engineering, in particular to a cement concrete durability optimization method and system for an airport runway, and the method comprises the steps: building a data collection frame, and collecting the data of the airport runway; preprocessing the collected data, and performing preliminary analysis based on the processed data to obtain main factors influencing the durability of the cement concrete; based on the preliminary analysis result, using machine learning and deep learning technologies to construct a durability prediction model; a self-learning mechanism is introduced, a feedback loop is established, actual operation data is compared with a prediction result, and model parameters are dynamically adjusted; and based on a prediction result of the durability prediction model, combining a plurality of durability indexes, and adopting a multi-objective optimization algorithm to generate an optimal cement concrete formula and a construction process scheme so as to obtain a final durability optimization scheme. By means of the method, the defects of a traditional method in the aspects of data accuracy and model adaptability are effectively overcome, and the durability optimization level of the airport runway cement concrete is improved.

The invention relates to the technical field of electric power risk control, and discloses an anti-bidding risk control system platform based on a large model technology, and the system platform comprises the steps: collecting bidding data, splitting the bidding data into bidding text data, behavior data and enterprise background data, carrying out the semantic extraction of the bidding text data, obtaining a core data set, and carrying out the calculation of the core data set; performing similarity score calculation on the core data set to obtain a similarity score; constructing a bidding relationship network by utilizing the behavior data and the enterprise background data; performing data synthesis by using the bidding relationship network, the similarity score and the core data set to obtain contrast data; and performing comparative analysis on the comparison data and the bidding data to obtain an abnormal behavior, and performing risk control scoring on the abnormal behavior to obtain an anti-bidding risk control result. According to the invention, the problems of low efficiency and poor adaptability of an existing anti-flipping risk control system platform based on a large model technology can be solved.

The invention relates to the technical field of image processing, and provides an underwater image enhancement method and system based on multi-modal degradation feature learning. The method comprises the following steps: collecting underwater image data of different modes to construct an underwater image data set, and dividing the underwater image data set into a training set and a test set; preprocessing the training set to obtain an image text degradation pair data set; constructing a multi-modal visual language MD-CLIP network framework, and training the MD-CLIP network framework by using the image text degradation pair data set; the MD-CLIP network framework comprises an image coding controller ContNet module, a pre-trained CLIP module and a comparative learning module; integrating the trained image coding controller ContNet module into an NAFNet network structure, generating an image enhancement network, and training by using the test set to obtain an underwater image enhancement model; and inputting a to-be-enhanced underwater degraded image into the underwater image enhancement model to generate an enhancement result graph of the to-be-enhanced underwater degraded image.

The invention relates to a power data federated learning privacy protection method based on efficient homomorphic encryption. The method comprises the following steps: step 1, a client initializes a neural network model; step 2, the server side encrypts and updates local neural network model gradient parameters uploaded by the client side; 3, the server side executes gradient average aggregation operation, the server side does not need to decrypt, the encrypted gradient parameters uploaded by the client side are directly calculated, an average value is solved, and therefore global gradient parameters are updated; step 4, after each client receives the updated global gradient, carrying out decryption calculation operation; 5, loading the updated weight parameters of the neural network model into a local neural network model, and performing neural network model training by using a local data set; the problems that an existing encryption technology is large in operand, large in computing resource overhead and low in algorithm efficiency, and privacy leakage exists in the transmission and analysis process of power data can be solved.

The invention discloses a robot autonomous wire stroking method, system and device based on a tactile sensing multi-fingered dexterous hand and a storage medium, and belongs to the field of manipulator control. The robot autonomous wire stroking method comprises the steps that mechanical input data of finger tips of the tactile sensing multi-fingered dexterous hand is acquired and collected; generating pose estimation data of the cable according to the mechanical input data; according to the pose estimation data and / or the mechanical input data, dynamic expected data of the touch sensing multi-fingered dexterous hand is generated; according to the dynamics expected data, a control instruction for the touch sensing multi-fingered dexterous hand is generated so as to control the wire stroking process through the touch sensing multi-fingered dexterous hand. According to the multi-fingered dexterous hand, the touch sensing data is obtained and utilized in real time, accurate control over the multi-fingered dexterous hand is achieved, and finally stable and efficient grabbing and following of the cable are achieved. The problems that a manipulator is low in adaptability to a wire stroking task and low in operation efficiency are solved.

The invention belongs to the field of artificial intelligence and deep learning, and provides a small sample continuous learning method and system based on adaptive adaptation layer selection. The small sample continuous learning method based on adaptive adaptation layer selection comprises the following steps: pre-training a singular value of a linear weight; freezing a pre-training linear weight matrix corresponding to the knowledge sensitive component; adaptively determining an adaptation layer; multiplying the adapter matrix based on the adaptation layer by the training sample features of the current incremental adaptation training stage to obtain redundancy capacity features; and the small sample playback data is obtained again, singular value decomposition, adaptive layer adaptive determination and incremental adaptive training operation are performed in sequence based on the updated pre-training linear weight matrix, and learning is stopped until the continuous learning model reaches a set requirement, so that the trained continuous learning model is utilized to execute a classification task. According to the method, dynamic adapter selection for minimizing old knowledge interference is realized, and the classification accuracy of a small sample continuous learning model is guaranteed.

The invention discloses an energy efficiency optimization method and system for an irrigation area, a storage medium and electronic equipment, and relates to the field of intelligent irrigation. The method comprises the steps that crop information and soil information of all sub-areas in an irrigation area are obtained, and the irrigation area is communicated with branch pipelines of all the sub-areas through a main pipeline; for any sub-region, according to the crop information and the soil information, determining the irrigation amount and the irrigation priority required by crops in the sub-region; according to the irrigation amount and the irrigation priority corresponding to each sub-region, a first irrigation plan of a connected region is generated, the connected region is composed of at least two sub-regions, and the first irrigation plan comprises an irrigation mode for irrigating crops in each sub-region in the connected region in different time periods. By implementing the technical scheme provided by the invention, the overall energy efficiency optimization of the irrigation system can be realized.

The invention provides a transformer fault diagnosis method and system based on a sparrow algorithm, a storage medium and electronic equipment, and relates to the technical field of intelligent power grid and power system monitoring. A sparrow algorithm is used for constructing a fault diagnosis model, setting foraging and reconnaissance sparrow roles and optimizing positions, combining oil pressure, load current, temperature data and characteristic parameters, generating a fitness function, selecting an optimal parameter combination, collecting current data and the characteristic parameters, and comparing differences to generate fault indexes; and if so, determining that the transformer fails. According to the invention, rapid and accurate transformer fault detection is realized by acquiring and preprocessing transformer operation data, extracting fault related characteristics, constructing a diagnosis model by using a sparrow algorithm, and setting fitness evaluation and threshold judgment.

The invention discloses a fruit and vegetable quality nondestructive testing imaging control system which comprises the following components: S1, a multispectral light source module which captures spectral information inside and on the surface of the multispectral light source module; s2, a precision imaging module generates multispectral image data; s3, extracting key image features related to fruit and vegetable quality by an image data preprocessing module; s4, the quality analysis module adjusts algorithm parameters in real time and generates an analysis data set corresponding to the fruit and vegetable quality indexes; s5, a spectrum enhancement and adaptation module, which optimizes the sensitivity and resolution of the multispectral signal; s6, a distributed detection control module is used for controlling system parameters to be adjusted in real time, and the detection efficiency and detection are optimized; and S7, a data management and output module which generates a fruit and vegetable quality evaluation report through a computer system. The method has the advantages of being high in detection precision, high in adaptability, good in nondestructive property and high in detection efficiency.

The invention discloses a slurry shield small-space multi-interval fixed-point slurry pipeline extension system and a construction method, and solves the problems that the existing tunnel construction curvature is small, the space of a starting well is insufficient, the slurry pipeline is difficult to extend under the condition that integral starting is needed, and the requirement that the slurry pipeline is located on the same side under multiple construction intervals is not met. The mud pipeline extending system comprises a mud pipeline extending device arranged at a wellhead of a starting well and a mud pipeline supporting device laid in a tunneling tunnel. The slurry pipeline extending device is arranged at the initial end of the slurry pipeline supporting device, and the slurry pipeline supporting device bears a slurry pipe to synchronously move along with the shield tunneling machine. The slurry pipeline supporting device can be matched with the slurry pipeline extending devices in the tunneling tunnel in multiple directions to complete multi-interval slurry pipeline extension with the position of the starting well as the center of a fixed point. The mud pipeline extending device is arranged at the starting well mouth, the total length of a trailer is reduced, and the overall starting requirement of the extremely small starting well is met by fully utilizing the tunnel space.

The invention discloses an acceleration method and system of an AI processor and a chip, and belongs to the technical field of electronics. According to the technical scheme of the acceleration method of the AI processor, after a target model which cannot be effectively accelerated by the AI processor is recognized, a first operator which cannot be effectively accelerated in the target model is determined; and determining a target file corresponding to the first operator, and synchronizing the target file to an operator acceleration library of an eFPGA of the AI processor so as to accelerate the first operator through the eFPGA. The adaptability and the processing energy efficiency of the AI processor can be improved.

The present application relates to electric digital data processing, especially to a virtual power plant optimization decision method and system based on sensitivity analysis; the method comprises the following steps: constructing a data model of the whole cycle economic benefit of the virtual power plant. Based on the data model, perform parallel sensitivity calculation on the preset multiple economic benefit sensitive factors, and generate a set of sensitivity quantitative parameters. Based on the set of sensitivity quantitative parameters, set priority preference parameters, and respectively construct an upper layer declaration strategy optimization model and a lower layer market clearing calculation model. Through iterative solution of the double-layer optimization problem model, output the optimal declaration decision data of the virtual power plant participating in the electricity market transaction. In this way, the technical problem of insufficient accuracy of the optimization strategy generation in the existing virtual power plant economic benefit analysis technology is solved, and the data-driven level of the optimization decision, the accuracy of the calculation result and the adaptive ability of the strategy generation are improved.

The application relates to the technical field of target detection and discloses a target detection method and device based on domain increment, equipment, a medium and a product. The method comprises the following steps: receiving a prediction sample; extracting a target sample general feature of the prediction sample; matching the target sample general feature with domain general features of a plurality of domain increments configured by model pre-training, determining a target domain corresponding to the prediction sample, and taking a target detection model trained based on sample data of the target domain as a target model; and performing target detection on the prediction sample based on the target model. Therefore, the matching degree of the prediction sample and the domain increment is used to select applicable target detection model parameters, the adaptability of the target detection model to a new domain is effectively solved, and the stability and the accuracy of the target detection result of the target detection model are significantly improved.

The utility model relates to a side opening type automobile tail door painting tool which comprises a limiting block, a locking rod and a magnet, the limiting block comprises a telescopic connecting rod, a fixing block is installed at one end of the telescopic connecting rod, and a magnet ring is installed at the other end of the telescopic connecting rod; one end of the locking rod is inserted into the fixing block; and the magnet is inserted into the magnet ring. The fixing block is installed at one end of the telescopic connecting rod, the fixing block is connected with the locking rod in an inserted mode, and therefore the side-opening type automobile tail door coating and paint spraying tool can clamp the seam allowance portion of an automobile body metal plate, and the magnet ring is installed at the other end of the telescopic connecting rod, and the magnet is connected into the magnet ring in an inserted mode. According to the paint spraying tool for the side-opening type automobile tail door, the paint spraying tool for the side-opening type automobile tail door is attracted to the tail door to control the opening degree of the tail door, the paint spraying tool for the side-opening type automobile tail door is matched with the opening degrees of automobile doors and tail doors of different structures by adjusting the length of the telescopic connecting rod, and the technical problems that in the related technology, a paint spraying tool is poor in stability and low in adaptability are solved.

The invention discloses a digital economic data acquisition system and method based on 5G communication, and relates to the technical field of electronic digital data processing. The digital economic data acquisition system and method based on 5G communication comprises the following steps: S1, collecting digital economic related data; s2, preprocessing the digital economic related data stored in the database by using an automatic detection tool; s3, performing data standardization processing on the to-be-detected digital economic related data according to the data standardization detection value; S4, performing data fusion on the to-be-fused economic related data by using an Apache Kafka technology, and storing the to-be-fused digital economic related data after data stream integration by using a data lake technology of Apache Hadoop and Amazon S3; and S5, making corresponding optimization processing measures according to the data fusion detection value. The problem that in a traditional digital economic data acquisition system based on 5G communication, data is difficult to fuse due to diversity of data sources and heterogeneity of data formats and types is solved.

The invention relates to the technical field of bird repelling equipment and image recognition, and particularly discloses an active positioning bird repelling system based on vision and radar fusion. The system comprises a multi-sensor fusion sensing module, a target cooperative processing and positioning module, a dynamic strategy generation module and a multi-mode bird repelling execution module. Through fusion processing of millimeter-wave radar and double-spectrum vision, accurate identification and three-dimensional positioning of a bird target are realized, an optimal bird repelling strategy is dynamically generated based on threat assessment and environmental perception, and directional sound waves and laser are controlled to execute accurate repelling, so that the bird repelling efficiency is improved, and environmental interference is reduced.

The utility model discloses a kind of steel wire rope anchoring devices for cantilevered scaffold, including connecting piece, connecting piece includes screw rod, the front end of screw rod is provided with protruding head, pre-buried sleeve is set on the outside of connecting piece, pre-buried sleeve includes thread section and expansion section, expansion section is located at the front end of pre-buried sleeve, expansion section outside is embedded with clamping plate, steel wire rope connecting block is set in the rear end of screw rod, steel wire rope connecting block includes pressing block and shell, pressing block is set in the inside of shell, spring b is arranged between the bottom of pressing block and shell.The utility model is pressed by pressing steel wire rope connecting block, steel wire rope passes, pressing block is lifted under the action of spring b, so that steel wire rope is clamped by shell and pressing block, so that connecting block can adapt to steel wire rope of different diameters, effectively prevent steel wire rope from sliding, and the expansion joint of expansion section and clamping plate design enhances anchoring force and adapts to concrete slight deformation, improves stability.

The invention relates to the technical field of data processing, in particular to an automatic filling method based on a browser, which comprises the following steps: acquiring filling duration, correction frequency and selection frequency; determining a temporary field; determining an automatic field; determining a filling field; determining a prediction field; and adjusting the threshold value and filling. According to the method, the filling duration, the correction frequency and the selection frequency of the user in the website browsing process are collected and analyzed in real time, the form fields can be intelligently recognized and automatically filled, the filling habit of the user can be accurately predicted and adapted by dynamically adjusting the duration threshold value, the form filling efficiency and accuracy are effectively improved, and the user experience is improved. Compared with a traditional static automatic filling mode, the method is more personalized, the filling strategy can be optimized in real time according to user behaviors, tedious steps of user operation are reduced, the user experience is improved, and the problems that the response speed is low and the filling adaptability is poor due to the fact that processing depends on a server side are effectively solved.

The utility model belongs to the field of power cables, and particularly relates to a high-tensile multi-layer stranded power cable, which comprises an inner-layer conductor. The surface of the inner-layer conductor is sleeved with an outer-layer stranded layer, the surface of the outer-layer stranded layer is sleeved with an interlayer buffer layer, the surface of the interlayer buffer layer is provided with a reinforced braid layer, and the surface of the reinforced braid layer is sleeved with a sheath layer; the inner-layer conductor is formed by twisting metal wires, the outer-layer twisting layer is formed by spirally winding metal wires on the outer surface of the inner-layer conductor, the twisting direction of the outer-layer twisting layer is opposite to that of the inner-layer conductor, the interlayer buffer layer covers the surface of the outer-layer twisting layer, and the sheath layer covers the interlayer buffer layer; through the collaborative structural design of the inner-layer conductor, the outer-layer stranded layer, the interlayer buffer layer, the reinforced braid layer and the sheath layer, the comprehensive improvement of the tensile strength, the bending fatigue life and the lightweight level of the cable is realized, the problems of poor mechanical strength and dynamic adaptability are solved, and the economical efficiency and the engineering applicability of the cable are improved.

This invention discloses a blind zone detection method for handheld point cloud scanning based on the interaction between the acquisition area and the boundary, relating to the fields of 3D scanning and point cloud data processing technology. The method first acquires the device pose and local point cloud, preprocesses it, and then transfers it to a global horizontal coordinate system. A boundary feature extraction engine is used to identify room boundary lines and project them to form a 2D boundary contour map. Simultaneously, an effective acquisition loop is dynamically constructed and projected based on the effective measurement range parameters of the laser scanner and the current ambient lighting conditions. Boolean operations are performed on the effective acquisition loop and the boundary contour map to identify uncovered boundary segments as potential blind zones. The occlusion state is determined using the temporal information of continuous frame point clouds and a ray casting algorithm to identify the effective blind zone. This invention reduces the 3D integrity determination to 2D planar geometric intersection, eliminating the need for prior models and enabling real-time identification of dynamic occlusion and acquisition blind zones. This results in high computational efficiency and significantly improves the success rate and coverage integrity of handheld scanning operations.

The application relates to the technical field of artificial intelligence, and particularly discloses an annotation personnel recruitment test evaluation system based on a large model. The system comprises a task characteristic analysis module, a dynamic test generation module, a multi-modal interaction test module, a cognitive behavior analysis module and a comprehensive evaluation decision module. Through analyzing task characteristic parameters, the system dynamically generates adaptive test questions, collects and analyzes multi-modal operation behaviors of candidates, and performs weighted evaluation and recruitment recommendation by fusing multi-dimensional features. The application realizes the precision and self-adaptation of annotation personnel skill evaluation, and significantly improves the matching degree of recruitment test and post requirements.

This invention relates to an automated machining method for circular composite material covers, belonging to the field of functional composite material machining. By identifying the fiber direction through photography and combining it with C-axis positioning at the turning center, the method achieves automated machining of composite materials according to the fiber direction. Integrating an image-based dimensional measuring instrument into the production line enables rapid online full-size inspection. By using a machine tool's internal probe to pre-determine product dimensions and automatically compensate, the method automates first-piece debugging during frequent production changes. Controlling cutting forces through process methods, and precisely controlling clamping forces with small-diameter hydraulic cylinders and gauges, effectively controls the deformation of thin-walled parts. By modifying the chip conveyor to remove large particles and fibers, using multi-stage sedimentation to remove suspended particles, and employing a belt degreaser to remove lubricating oil, the method solves the problem of ensuring the composite material coolant meets emission standards. The process is automated and cost-effective.

This application discloses a vibration damping device for spinning drums in textile machinery, relating to the field of vibration damping technology in spinning machinery. The device includes a rod sleeve, lubricating oil, a threaded rod, a threaded rod buffer tube, a vibration damping spring assembly, and an oil lifting assembly. The vibration damping spring assembly adopts a variable pitch hollow spring body structure with a denser upper section and a sparser lower section. It has multiple oil control sections evenly arranged along the spiral direction of the variable pitch spring body. Each oil control section has an oil inlet hole and a movable membrane fixed outside the oil inlet hole. The movable membrane uses magnetic attraction to open and close the oil inlet hole and adjust the actual opening area of ​​the oil inlet hole during rebound, achieving real-time adaptive control of the oil flow. This enables improved response speed for adaptive oil flow control, enhanced vibration damping consistency due to temperature adaptation, strengthened damping effect for unidirectional flow, effective suppression of simple harmonic motion to improve equipment stability, and optimized cooling efficiency to extend service life.

The present invention discloses a robot autonomous ultra-close panoramic detection and positioning system and method for crop diseases, and relates to the field of agricultural robots. The robot autonomous ultra-close panoramic detection and positioning system includes an ultra-close canopy adaptive detection device and a canopy profiling panoramic capture device. Through the ultra-close canopy adaptive adjustment and canopy morphology matching profiling, the robot can autonomously adapt to and adjust the canopy with large differences in morphology. Through the canopy panoramic capture and splicing method, the robot can fully acquire the ultra-close three-dimensional image information of the canopy. Then, through the disease multi-layer feature model training and the disease pre-inspection and re-inspection step-by-step diagnosis method, the robot can autonomously focus on and accurately diagnose the diseased part. The present invention solves the problems of missed detection and false detection of diseases when the robot is operating, and improves the robot's detection accuracy of diseases under complex canopies.

The invention discloses an intelligent control system for separating and screening barium ore, and belongs to the technical field of industrial process control. The system specifically comprises an ore data acquisition module, a multi-dimensional feature extraction and fusion module, a classifier engine module and a sorting control module, the ore data acquisition module acquires original ore data through a multi-dimensional sensor; the multi-dimensional feature extraction and fusion module performs feature extraction and fusion based on original data; the classifier engine module identifies, classifies and screens the barium ore to form a control instruction based on the fusion features by using a machine learning algorithm; the sorting control module executes a screening action based on the control instruction. According to the method, a solution of combining multi-sensor information fusion and a lightweight machine learning classifier is utilized, and technical guarantee is provided for precise separation of barium ore and self-adaptive control.

The invention provides a self-attention scale offset recalibration-based self-adaption method during a complete test, which comprises the following steps of: acquiring a target domain image, inputting the target domain image into a pre-trained source domain model, and arranging a factor generation module and a self-attention module in each encoder layer of the source domain model; converting the target domain image into a plurality of picture marks by using an embedded layer in the source domain model, and generating scale factors and offset factors by the plurality of picture marks through a factor generation module; inputting the scale factor and the offset factor into a self-attention module, and calibrating a query vector, a key vector and a value vector in the self-attention module to obtain a target domain model; and inputting the target domain image into the target domain model to obtain a corresponding image classification result. According to the method, the scale factor and the offset factor are introduced, the polling vector, the key vector and the value vector in the self-attention mechanism are dynamically adjusted, and the adaptability and the classification accuracy of the model in the target domain are improved.

The present application provides an RGB atmosphere light control circuit, a control method and an RGB atmosphere light group, which belong to the field of lighting control technology. The RGB atmosphere light control circuit includes a controller, a first drive circuit and a second drive circuit. The input ends of the first drive circuit and the second drive circuit are electrically connected to the output end of the controller respectively, and the output ends of the first drive circuit and the second drive circuit are electrically connected to the first ends of multiple color channels of the RGB lamp beads respectively. The maximum output current of the first drive circuit is a first preset current, and the maximum output current of the second drive circuit is a second preset current. The control circuit can flexibly switch or use the first drive circuit and the second drive circuit in coordination according to the target current demand of each color channel of the RGB lamp beads, so as to achieve efficient driving of the RGB lamp beads in different brightness scenes, and effectively solve the problems of insufficient brightness and poor adaptability of RGB atmosphere lights in the prior art.

The utility model discloses a self-adaptive adjusting broken bridge type heat preservation and decoration integrated wall formwork which comprises a facing layer, the facing layer and an outer wall formwork are arranged in parallel, a heat preservation layer is arranged between the facing layer and the outer wall formwork, and the facing layer, the heat preservation layer and the outer wall formwork are connected through a self-adaptive adjusting device to form an integral structure. The wall formwork further comprises an inner wall formwork, the inner wall formwork and the outer wall formwork are arranged in parallel, one end of the self-adaptive adjusting device is connected with the outer wall formwork, the other end of the self-adaptive adjusting device is connected with the inner wall formwork, a heat bridge blocking space is formed between the inner wall formwork and the outer wall formwork, and the heat preservation layer is made of rock wool or glass wool or polystyrene board heat preservation materials. The facing layer is made of argil thick plates or stone materials, and the outer wall formwork and the inner wall formwork are both made of concrete.

The utility model discloses a filling device of calcium stearate production, including filling support frame, two groups of protective side plates are installed on the filling support frame upper end, and the belt conveyor is installed between two groups of protective side plates, and the mobile clamping assembly is installed on two groups of protective side plates all, and the auxiliary support underframe board is installed in filling support frame both sides, and the vertical support rod is installed on the auxiliary support underframe board upper end, and the protective top board is installed on the vertical support rod upper end, and the adjustable filling assembly is installed on the protective top board, and the linear motor that includes the mobile sliding block that is installed on the protective side plate side end top is included in the mobile clamping assembly, and the output of linear motor installs. The utility model has the advantages of automatic conveying and clamping container and can adjust the filling height, and the filling efficiency of calcium stearate is improved significantly.

This invention provides a flexible vehicle body assembly system and a vehicle body manufacturing production line, belonging to the field of vehicle body manufacturing technology. The flexible vehicle body assembly system can interface with intelligent vehicles and their bodies, including an assembly station, a lower body positioning device, a side positioning device, a rear positioning device, and a sliding device. The assembly station includes two bases, each with a first and a second column. The two lower body positioning devices are symmetrically distributed on both sides of the intelligent vehicle, and at least partially located on the inner sides of the two bases. The side positioning devices are connected to the first and second columns of the same base, and the rear positioning devices are connected to the two second columns. The sliding device is connected to the base to adjust the relative positions of the two first columns, the two second columns, and the first and second columns. This invention can establish a global coordinate vehicle body positioning system, providing high-precision positioning for different vehicle models, improving the accuracy of assembly dimensions, and enabling cross-architecture vehicle mixed-flow production.