35results about How to "Reduce storage footprint" patented technology

The invention relates to the field of aviation flight tests, and discloses a flight test airborne data unified recording and processing method, system and device and a computer readable storage medium. The method comprises the following steps: receiving an external time code time service signal, and generating a synchronization timestamp for performing time synchronization on each module in a system; collecting multi-source data streams from a network interface, an analog quantity PCM interface, a video interface and a 1553B interface; performing protocol conversion and format standardization processing on the multi-source data stream to obtain a data stream with a uniform format; based on a data fusion algorithm, carrying out fusion processing on the standardized data streams to generate a fusion data sequence in a unified format; performing grading processing on the fused data sequence according to the importance of the data; performing adaptive compression processing on the graded data sequence to generate a compressed storage data sequence; and transmitting the compressed data storage sequence to a ground station through a wireless transmission protocol. According to the invention, the flight test efficiency is effectively improved.

The invention relates to a zero-sample open vocabulary scene understanding method based on semantic instance generation, and the method comprises the steps: obtaining multi-frame image data including depth information, obtaining 2D mask information through segmentation for each frame of image data, carrying out the semantic feature extraction of a 2D mask, projecting the semantic feature to a 3D space, obtaining a 3D point cloud segment, and carrying out the segmentation of the 3D point cloud segment; combining the 3D point cloud fragments into 3D instances through time sequence grouping combination by adopting a semantic-guided under-segmentation filtering and combination threshold linear attenuation strategy to obtain a 3D instance set; for semantic features of each instance in the 3D instance set, performing feature aggregation processing on the premise of considering intra-class similarity and inter-class difference; and based on the 3D instance set after feature aggregation, constructing a hybrid octree-graph structure to realize zero-sample open vocabulary scene understanding. Compared with the prior art, the problems of inaccurate instance segmentation, inaccurate feature aggregation and low spatial representation efficiency are effectively relieved.

The utility model discloses a folding type mobile phone placing support which comprises a base, an antiskid plate is fixedly installed at the bottom of the base, an installation base is fixedly installed at the top of the base, a first rotating shaft is rotatably installed on the installation base, and a first rotating frame is rotatably installed on the installation base through the first rotating shaft. A second rotating frame is rotationally installed at the end, away from the mounting base, of the first rotating frame, a storage box is rotationally installed at the end, away from the first rotating frame, of the second rotating frame, and a storage structure is arranged on the front side of the storage box. Comprising a sliding plate, a storage rod, a gear, an anti-slip strip, a nut, a placement frame, a rotating shaft, a rotating frame and other components, when the placement frame is idle, the placement plate can be stored in a storage box, the situation that the placement plate is idle for a long time, dust accumulation is caused, and next use of a user is affected is avoided, and when the mobile phone support is idle, the rotating frame can be disassembled for storage; and the space occupied by storage is reduced.

This invention relates to the field of smart agriculture information technology, and discloses an agricultural pest and disease prediction system and method based on multimodal data fusion and edge AI, comprising: a data acquisition module, an edge AI analysis module, and a communication interaction module; the data acquisition module is used to collect agricultural monitoring data containing agricultural environmental information and crop status information; the edge AI analysis module is used to call a pest and disease prediction model that integrates multimodal agricultural feature extraction to perform multimodal joint feature extraction on the agricultural monitoring data containing agricultural environmental information and crop status information, and infer pest and disease prediction results based on the multimodal joint features, and generate pest and disease early warning information based on the pest and disease prediction results; the communication interaction module is used to upload the agricultural monitoring data collected by the data acquisition module and the pest and disease prediction results and pest and disease early warning information output by the edge AI analysis module to a cloud platform. This invention enables agricultural pest and disease prediction on resource-constrained edge devices.

This application discloses a data-processing-based intelligent management method and system for thermal power fuel, comprising the following steps: collecting multi-dimensional data of the entire life cycle of thermal power fuel; cleaning, standardizing, and fusing the collected multi-dimensional data to obtain pre-processed fuel data; constructing a multi-dimensional analysis model to analyze the pre-processed fuel data, comparing the analysis results with preset condition information, generating procurement adjustment instructions, inventory scheduling instructions, coal blending execution instructions, and equipment operation and maintenance early warning instructions, and pushing the instructions to the corresponding execution terminals, collecting feedback data in real time during the instruction execution process; obtaining instruction execution status data based on the feedback data, visualizing the instruction execution status data, fuel data, and analysis results, and generating multi-dimensional statistical reports; this invention establishes a unified data collection and integration mechanism, breaks down data barriers at each stage, and forms a complete data link for the entire fuel life cycle.

The application discloses a wake-up word voice recognition method and device, computer equipment and a storage medium, and belongs to the voice recognition field. The method comprises the following steps: calculating the first probability distribution of each phoneme of input voice through a wake-up word recognition network; judging whether the blank score in the distribution is less than a first threshold value; if yes, sorting the phoneme probability, selecting a preset number of target phonemes, saving the scores and phoneme serial numbers of the target phonemes as effective phoneme distributions; putting the effective phoneme distributions into a preset length queue according to the first-in-first-out rule, performing maximum pooling on the probability values of the same phoneme serial number at different time points in the queue, and generating an effective phoneme distribution vector; and outputting a recognition result based on the vector and a preset registered phoneme distribution vector. The method realizes phoneme level fine-grained discrimination, reduces the misrecognition rate, is light and low in consumption, and is suitable for smart home scenes and the like.

The embodiment of the invention provides an exception capture method and device, a storage medium and electronic equipment, and the method comprises the steps: inputting to-be-processed data into a pre-written data analysis program; the data analysis program comprises an exception capture framework and a plurality of data processing logics; the exception capture framework covers a group of exception capture logics in the data processing process; the exception capture framework is obtained by extracting and packaging each exception capture logic in advance; each data processing logic is used for processing specific data; under the condition that a group of abnormal information appears in the process of processing the to-be-processed data by the data analysis program, calling an exception capture logic corresponding to each piece of abnormal information in the group of abnormal information from an exception capture framework; and each piece of abnormal information is captured through the abnormal capture logic corresponding to each piece of abnormal information, and the problem that the storage occupation of the abnormal information cannot be reduced while stable operation of a data analysis program cannot be ensured in related technologies is solved.

The invention discloses a lightning arrester instrument data image recognition method, system and device and a medium, and the method comprises the steps: obtaining an original image of a lightning arrester instrument, adaptively adjusting collection parameters according to environment illumination, carrying out the geometric correction and quality evaluation, carrying out the dynamic contrast enhancement and multi-scale noise suppression through an illumination decoupling model, and generating a standardized image; inputting a lightweight mobile terminal target detection model, and positioning and cutting an instrument display area; enhancing the sub-images, extracting edge features, and judging the type of the instrument: if the sub-images are digital, segmenting character areas and identifying the character areas by using a private network to obtain initial readings; verifying validity in combination with a preset physical quantity reasonable range, and generating a final reading; and automatically associating a current inspection task, adding time, a position and an image index, storing into a local database through transaction operation, and supporting generation of a structured inspection report. According to the invention, the accuracy and efficiency of inspection work are improved, and the reliability and traceability of data are ensured.

The application relates to a vehicle cabin resource adaptation method and a vehicle. The method comprises the following steps: acquiring a navigation path of the vehicle, and determining at least one intersection point where the navigation path intersects with the region boundary in a geographic fence; for any intersection point, acquiring the current position of the vehicle, determining a preloading trigger parameter according to the current position of the vehicle; when the preloading trigger parameter meets a preset preloading trigger threshold, preloading a compliance adaptation resource package of a target region corresponding to the intersection point; and adapting the vehicle cabin resource according to the compliance adaptation resource package. In this way, only the required region resource of the vehicle is loaded instead of preloading all resources, the storage occupation of the vehicle machine is reduced, the system operation efficiency is improved, the cabin resource adaptation can be automatically completed without manual operation of the user, the use experience is optimized, cross-region compliance adaptation is realized, and the compliance risk of cross-border driving of the vehicle is effectively avoided.

The application discloses an image processing method, which comprises the following steps: determining a quality level corresponding to a first image based on at least a network state parameter and a task demand parameter, wherein the task demand parameter at least comprises a task type; encoding the first image based on the first image and the quality level corresponding to the first image; decoding a received first code stream to generate a second image, wherein the first image is encoded and decoded by a shared variable code rate reversible image codec, and the first code stream at least comprises a task type identifier corresponding to the task type; and inputting the second image into a visual feature reconstruction network to output a perception optimization reconstruction image and / or a task adaptation reconstruction image. The image processing method of the application greatly reduces the storage occupation and model maintenance cost in the image processing process, improves the flexibility and scalability of the image processing method, and can output a reconstruction image meeting the actual scene demand and having high quality.

The present application belongs to the technical field of knowledge compilation and network reliability analysis, and particularly relates to a network reliability intelligent computing method and system for a logical decision graph, comprising: modeling a network system as a triple data structure composed of a network topology graph, a terminal node set and an edge availability probability set; determining a topology order of network nodes and network edges based on the triple data structure; constructing a full binary tree vtree with leaf nodes corresponding to network edges one by one according to the topology order; and compiling the network topology graph into a zero-suppression statement logical decision graph using the vtree, wherein the zero-suppression statement logical decision graph is used to represent a set of valid subgraphs that satisfy terminal node connectivity; and recursively calculating a reliability value of the network system based on the zero-suppression statement logical decision graph.

The invention relates to the technical field of data real-time processing, and provides a database real-time zipper generation method and system, and the method comprises the steps: carrying out the parallel query of total historical data from a business database table, obtaining incremental log data, and connecting the total historical data with the incremental log data; uniformly converting the total historical data and the incremental log data into data change events with consistent formats, carrying out shunting according to metadata information of a source table, and converting the data change events into data streams which can be processed by a stream calculation engine to obtain data stream of the data change events; adding zipper information to the data change event data stream, and converting the data change event data stream into a data change event data stream with the zipper information; and converting the data change event data stream with the zipper information into a data operation statement of a downstream analysis library so as to push the data operation statement to the downstream analysis library for execution. The method has the characteristics of low cost, real-time performance and high-efficiency generation of the zipper table.

This invention discloses an AI-based lossless compression method and system for images, videos, audio, and PDFs, belonging to the field of lossless compression technology. The method includes the following steps: semantic region segmentation, multi-scale semantic feature enhancement, region-differentiated quantization entropy encoding, and generative detail compensation decoding reconstruction. This invention reads multimedia data from images and video frames, distinguishing regions of interest from background regions through semantic segmentation and saliency detection; it uses a pre-trained deep network to extract multi-scale spatial features, combining them with adaptive weighting based on region distribution to generate semantically enhanced feature maps; then, it allocates differentiated quantization parameters according to different region fidelity requirements, quantizing to obtain discrete feature tensors and entropy encoding to generate compressed bitstreams; finally, it decodes and dequantizes to obtain reconstructed feature tensors, which are then processed by a high-frequency detail compensation subnetwork of a generative decoding network to repair textures and sharpen edges, outputting visually lossless, high-quality multimedia files.

The application discloses a power plant equipment two-dimensional code standardization generation and analysis management system based on KKS coding, comprising a server and a mobile terminal. The data preprocessing module of the server carries out semantic vectorization processing on the KKS coding and generates a dynamic hash index; the two-dimensional code coding module adopts a non-uniform redundancy distribution mode, distributes the core semantic section to the two-dimensional code center high-redundancy protection area, and distributes a lower redundancy factor or a predictive error correction bit to the edge area; the data feedback module returns adaptive display content based on an identity tag. The mobile terminal analysis module preferentially decodes the center area to extract the system attribution vector in an offline state, combines a local process logic library and auxiliary positioning information to restore the equipment information through probability matching recursion; meanwhile, the dynamic hash index and the identity tag can be sent to the server to obtain online display content. The application significantly improves the recognition rate under oil stain shielding, realizes offline analysis, reduces the label reprint cost, and supports role differentiation information display.

This specification provides a unified indexing method, apparatus, electronic device, and medium for multiple metric vectors. The method includes: in the index creation phase, constructing a shared graph topology structure decoupled from similarity metrics; in the query execution phase, enabling the query optimizer to generate an execution plan containing a single index scan node and generating a corresponding metric type identifier; performing graph traversal based on the shared graph topology structure, and if no match is found, calling the underlying calculation kernel function corresponding to the target similarity metric type to perform lazy distance calculation and writing it into a shared memory cache pool; dynamically adjusting the pruning threshold and search width parameters of the graph traversal, continuing to traverse the shared graph topology structure until the termination condition is met, and outputting the final candidate node set; and returning the final candidate node set and its corresponding distance values ​​to the query executor layer of the database system through the index scan callback interface in the custom index access method plugin, and outputting the final query result set.

This invention discloses a hierarchical retrieval method, apparatus, device, storage medium, and product for encrypted data. The method includes: when a query statement indicates a retrieval of encrypted data, requesting a distributed cache node to perform a first-level cache retrieval based on the query keywords in the query statement; if the first-level cache retrieval query fails, parsing and constructing an encrypted index query value from the query keywords in the query statement; performing a second-level encrypted retrieval based on the encrypted index query value to obtain a second-level encrypted retrieval result for the encrypted data; and caching the second-level encrypted retrieval result in a distributed cache for retrieval filtering to obtain the final retrieval result. This invention, by introducing a second-level retrieval mechanism, can effectively improve the accuracy of data retrieval. Furthermore, by introducing an encrypted index query value to achieve encrypted retrieval in the second-level encrypted retrieval, it can effectively improve data retrieval efficiency and reduce storage usage during the data retrieval process.

The invention discloses a method and system for reducing KV storage and loading expenditure in a retrieval enhancement generation system, and the method comprises the steps: S1, compressing a key value cache block of a pre-calculated external document to reduce the storage and loading expenditure of the key value cache block; s2, when the requested key value cache block does not hit the cache, searching and replacing the key value cache block with similar semantics in the cache according to the similarity of retrieval results; and S3, performing comprehensive value evaluation on the key value cache blocks in the cache based on the frequency, the recency and the first retrieval score, and executing cache replacement according to an evaluation result to maximize a cache hit rate. Through an innovative two-stage compression technology, storage occupation and data loading overhead of mass external document pre-calculation key value cache are remarkably reduced. Based on a key value cache reuse strategy of semantic similarity, high-delay disk input / output access is converted into rapid memory access, and the performance bottleneck of data loading is effectively relieved.

The application discloses a temperature and humidity monitoring system and relates to the technical field of temperature and humidity control.The system comprises an intelligent device configuration module, a distributed real-time sensing module, a time series data tracing module, an adaptive intelligent export module and a multi-dimensional dynamic early warning module.The intelligent device configuration module generates device configuration data.The distributed real-time sensing module constructs a dynamic monitoring panel on a UI interface.The time series data tracing module models the historical data of a target detector in a time series and generates an interactive trend curve.The adaptive intelligent export module converts the full data of a corresponding detector into an OFFICE compatible format.The multi-dimensional dynamic early warning module receives real-time data from the distributed real-time sensing module and historical trend data from the time series data tracing module, compares the real-time data with the historical trend data through real-time threshold comparison and trend prediction analysis, and comprehensively generates multi-level early warning signals.The application realizes flexible device configuration, edge computing and dynamic sampling through self-defined port mapping and elastic expansion, improves data sensing accuracy, time series modeling and intelligent labeling, and breaks through the limitations of traditional systems, such as fragmented functions, complex operation and slow response.

The application discloses a pinyin decoding method and related equipment, and relates to the technical field of natural language processing. The application first acquires a first text sequence containing a historical input text sequence and a current to-be-decoded pinyin string, and extracts semantic features corresponding to the text sequence by using a neural network model; then, corresponding statistical information is acquired by relying on a statistical language model. The statistical language model can store various types of text static statistical information, including candidate word entries and corresponding probability information, and the statistical information is mapped to a feature space consistent with the semantic features to obtain statistical features. The semantic features and the statistical features are fused to obtain fused semantic features, and a decoding result corresponding to the pinyin string is generated according to the fused semantic features. The application combines the semantic understanding ability of the neural network and the prior statistical advantage of the statistical language model, and takes into account the decoding accuracy and the use stability, is efficient in reasoning, and is suitable for various input method use scenarios.

This utility model discloses a lifting platform suitable for yachts, including a hull, a stern fixedly connected to the deck, a lifting platform on the stern, a limiting groove on the side of the stern, the lifting platform being fixedly connected to the limiting block, a sliding groove on the bottom surface of the lifting platform, a slider inside the sliding groove, a telescopic rod fixedly installed on the deck, the upper surface of the deck being fixedly connected to a side plate, a pedal on the side of the side plate, the pedal being hinged to one end of a connecting plate, and the pedal being movably hinged to a connecting plate, and a second telescopic rod fixedly installed on the side of the side plate. This utility model uses the first telescopic rod to move the slider inside the sliding groove, pushing the lifting platform to rise and fall, achieving convenient lifting and falling of the platform, reducing the difficulty for users to move landing craft onto the yacht. The second telescopic rod pushes the pedal to extend outwards, facilitating user contact with the water surface from the pedal, improving the yacht's recreational experience. Simultaneously, the pedal can be retracted for storage, reducing the space occupied during storage.

The present application relates to the field of neural network and target recognition technology, and more specifically, to an apple disease recognition method based on an improved YOLOv5s model. The method comprises: obtaining an apple disease dataset and preprocessing the apple disease dataset; performing lightweight improvement on the YOLOv5s model; training the improved YOLOv5s model based on the preprocessed apple disease dataset; and using the trained improved YOLOv5s model to recognize the target apple disease image. The improved model of the present application achieves lightweight model and low storage occupancy, and uses the trained improved YOLOv5s model to recognize the target apple disease image, with fast recognition speed and high recognition accuracy.

The invention relates to the technical field of refrigerator assemblies, in particular to an assembling method of a refrigerator heat insulation backboard and a refrigerator backboard heat insulation assembly.The method comprises the following steps that hole sealing is conducted, specifically, the back of a to-be-filled refrigerator body is provided with a cavity, the bottom of the cavity is provided with a plurality of holes, the holes are sealed through sealing belts, the sealing belts are bonded to the bottom of the cavity, and the cavity is sealed through the sealing belts; a plurality of pores are formed in the side surface of the sealing tape away from the closed hole; a filling step: filling a thermal insulation material into the cavity, wherein the thermal insulation material is bonded with the side surface of the sealing tape and the bottom and the side wall of the cavity; and a cover buckling step: a refrigerator rear cover is mounted at the opening part of the cavity, the cavity is sealed by the refrigerator rear cover, and the heat insulation material is bonded with the refrigerator rear cover. By means of the scheme, the technical problem that in the prior art, the heat preservation performance is affected due to the fact that the heat preservation layer cannot be stably connected with the back cavity of the refrigerator body due to hole sealing can be solved.

The utility model relates to the technical field of tooling storage equipment, and particularly discloses a hot stamping tooling storage device which comprises a support which comprises a transverse rod and longitudinal rods arranged on the two sides of the transverse rod. The longitudinal rods comprise a first longitudinal rod, a second longitudinal rod and a third longitudinal rod which are arranged from top to bottom; a plurality of positioning blocks are respectively arranged on the first longitudinal rod and the second longitudinal rod; the positioning block comprises a sliding base, and the sliding base is arranged on the longitudinal rod; a V-shaped table is arranged on the sliding base, and the bottom of the V-shaped table is of an arc-shaped structure with the radius being R. According to the tooling storage device, the movable positioning blocks are adopted to be flexibly compatible with placement of various toolings, the universality of the storage device is improved, the number can be adjusted according to the actual situation, the loading capacity of the toolings is improved, the storage site is saved, the site cleanliness is guaranteed, the operation convenience is improved, and the production efficiency is improved.

The present invention discloses an ORC optimized data storage format and data reading and writing method based on block data. The present invention introduces Blocklet into the ORC structure to reduce the number of tasks. The query and analysis task uses Blocklet as the task input data, and reduces the number of tasks without affecting the file reading and writing performance, thereby improving the system concurrency; provides a multi-level filtering mechanism: provides Blocklet-level index and CK-level fine-grained index inside Blocklet, and realizes File-level index, Blocklet-level index, CKRouter multi-level index to improve the filtering effect. The CK-level index can be implemented using a variety of data structures, such as B+Tree or other efficient data structures such as skip lists; provides a multi-priority predicate filtering mechanism to improve the filtering effect.

The application relates to a preparation method and application of a steel fiber reinforced graphite tailing cement-based composite filling material, and relates to the technical field of coal mine goaf foundation repair. A screening-impurity removal-drying combined process is adopted to obtain graphite tailing particles; in the critical range of 15%-20% of the graphite tailing content, each component is weighed according to the proportion, including steel fiber, cement, graphite tailing and mixing water, and a water reducing agent is selected according to the requirement; the steel fiber, the cement and the graphite tailing are mixed until the materials are uniformly mixed; the mixing water is added twice, the water reducing agent is pre-dissolved at the second time, and wet mixing is performed until a uniform slurry is obtained; after stirring is completed, the slurry fluidity is detected by using an expansion degree method, and the expansion degree is ensured to be 200-250 mm. The critical content range of the graphite tailing is determined, the mechanical properties-water cement ratio-water permeability performance of the composite filling material are synergistically optimal, the grouting fluidity and the late strength development are considered, and the performance requirement of the coal mine goaf foundation repair is met.

The application relates to the technical field of power system relay protection, and discloses a precision-robust transient fault component extraction method for super-high-frequency sampling, which comprises the following steps: obtaining healthy historical information before a fault and saving the information in a low-speed data area; obtaining real-time frequency estimation values and cycle estimation values corresponding to a fault starting moment; according to the cycle estimation values, backstepping and superimposing time alignment compensation values at any high-frequency sampling moment after the fault to construct a reference moment before the fault corresponding to the high-frequency sampling moment; according to the steady-state historical information before the fault, adaptively selecting a reconstruction mode and reconstructing a reference waveform before the fault at the reference moment before the fault; and subtracting high-speed original sample values at the high-frequency sampling moment after the fault from the reference waveform before the fault at the reference moment before the fault to obtain a transient fault component. The application improves the accuracy and robustness of the transient fault component extraction under the conditions of frequency deviation, harmonics and waveform distortion.

The present invention relates to the field of transmission technology, and proposes an automatic transmission production line after stamping of the floor of a new energy vehicle, comprising: a base, a slide rail fixedly installed on the top of the base, a driving device slidably installed on the inner wall of the slide rail, a rotating mechanical arm rotatably installed on the top of the driving device, an adjusting mechanical arm rotatably installed on the surface of the rotating mechanical arm, a rotating mechanical arm rotatably installed on the surface of the adjusting mechanical arm, and a lubricating device arranged on the top of the rotating mechanical arm. The lubricating device includes an exhaust device, a connecting air pipe, a vacuum suction cup, an L-shaped plate, an L-shaped rod, an oil storage tank, a hollow rod, a sealing plate, a support frame, a rotating plate and a limit block, which can reduce manual turnover in the production process, and at the same time can reduce the storage floor space, realize one-flow production, facilitate production management, improve production efficiency, and reduce production costs. Through the above technical scheme, the problem of manual turnover in the production process in the prior art is solved.

The present application relates to railway roadbed technical field, disclose a kind of railway roadbed anti-seepage drainage system, comprising: solid waste base composite anti-seepage layer, solid waste base composite anti-seepage layer is set in the upper of road basic body along height direction;Hierarchical solid waste drainage layer, hierarchical solid waste drainage layer is set between solid waste base composite anti-seepage layer and road basic body;Slope anti-seepage slope protection layer, slope anti-seepage slope protection layer is set on roadbed slope;Intercepting and draining structure, intercepting and draining structure is set on solid waste base composite anti-seepage layer;Roadbed side drainage system, roadbed side drainage system is respectively communicated with hierarchical solid waste drainage layer, slope anti-seepage slope protection layer and intercepting and draining structure, suitable for collecting liquid from hierarchical solid waste drainage layer, slope anti-seepage slope protection layer and intercepting and draining structure and leads to the range of roadbed. Hierarchical solid waste drainage layer rapidly leads to drainage leachate, cooperates with roadbed side drainage system to collect and process, reduces water body invasion risk. Slope anti-seepage slope protection layer intercepts slope water body penetration, leads into drainage system, prevents penetration road basic body.

The invention provides a video content intelligent analysis method based on an edge computing platform, and the method comprises the steps: collecting a video stream through an image collection interface of the edge computing platform, and carrying out the preprocessing of a video frame at a CPU end, and obtaining standardized image data; the method comprises the following steps: converting a pre-trained neural network model into a special format model adaptive to an NPU (Network Processing Unit), and adopting a hierarchical quantization strategy in the conversion process: quantizing at least one network layer responsible for basic feature extraction in the model by adopting first numerical value precision, quantizing other network layers responsible for classification and regression in the model by adopting second numerical value precision lower than the first numerical value precision; dynamically scheduling the number of processing cores in an activated state in the NPU based on a processing load determined by analyzing the current video frame content represented by the standardized image data, and utilizing the processing cores in the activated state to load a special format model to infer the standardized image data; and post-processing the reasoning output result of the NPU to generate a structured analysis result.

This invention discloses a quantization deployment method for BEV-3D visual detection models for intelligent driving, relating to the field of intelligent driving model quantization deployment technology. The method acquires a trained BEV-3D visual detection model and its representative multi-camera input data; divides the model into multiple functional regions according to its structure; statistically analyzes the weights and activation distributions of each functional region to obtain quantization parameters for low-precision inference; quantizes regions suitable for low-precision execution, while using high-precision retention, mixed-precision, or controlled quantization methods for precision-sensitive regions or regions with limited inference engine support; converts the quantized model into a deployment model resolvable by the target inference engine, and verifies its compliance with real-time vehicle perception requirements through multi-level verification. This invention can reduce model storage and runtime overhead and improve the utilization rate of vehicle-side hardware computing power while maintaining the stability of BEV-3D visual detection results.