11results about How to "Improve match rate" patented technology

The invention discloses an intelligent question-answering system oriented to a bid invitation file question-answering scene, which is based on artificial intelligence and a large model technology, performs knowledge extraction on two different forms of data of a text and a table of a bid invitation file to form training data, and further generates questions and corresponding answers by utilizing the large model technology. The accuracy of question answering is improved through self-learning, the matching rate of consultation questions is improved, the accuracy of intelligent question answering is improved, and the bidding and tendering efficiency is improved.

The present application discloses a method and system for matching enterprise needs based on a big data model, which relates to the field of big data analysis. The method includes: in response to receiving enterprise demand data, using a big data model to perform feature recognition on the enterprise demand data to obtain a semantic feature set, wherein the enterprise demand data includes image data and / or text data; using a pre-trained language model to convert the semantic feature set into an embedding vector set; calculating the similarity between the embedding vector set and the candidate solution set pre-stored in the electronic device; establishing an interactive attention mechanism between the embedding vector set and the candidate solution set to capture the matching relationship between the embedding vector set and the candidate solution set; when the similarity is greater than a preset threshold and the matching relationship is a match, outputting an enterprise demand matching solution corresponding to the embedding vector set. The present application can effectively improve the matching rate of enterprise needs.

The application provides a video retrieval method and device, a storage medium, a computer device and a program product. The method comprises: performing video frame extraction processing on a first video according to a video frame time sequence to obtain a plurality of candidate key video frames; performing clustering processing on the plurality of candidate key video frames to obtain a plurality of clusters, and extracting target candidate key video frames from the plurality of clusters respectively to serve as key video frames; performing image feature extraction processing on the plurality of extracted key video frames respectively to obtain image features corresponding to the plurality of key video frames respectively; performing image feature fusion processing on the image features corresponding to the plurality of key video frames respectively to obtain a video feature of the first video; and based on the video feature of the first video and video features corresponding to a plurality of candidate videos respectively, searching for a second video matching the first video from the plurality of candidate videos. The application can extract accurate and comprehensive video features from a video, thereby improving the accuracy of video retrieval.

The invention discloses a multi-source information high-precision positioning method and system for an unmanned forklift, and the method comprises the following steps: configuring a millimeter-wave radar, a laser radar and an inertial measurement unit for a dual-radar positioning system, designing a random matching algorithm to calibrate the timestamps of the millimeter-wave radar and the laser radar, and obtaining a main image and an auxiliary image; designing a key frame extraction algorithm to extract key frames of the main image to obtain a primary main image; designing an information matching algorithm, and calculating the positioning of the unmanned forklift by using a dynamic sliding window; a position diagnosis algorithm is designed, positioning deviation is calculated, and positioning of the unmanned forklift is corrected; and outputting the positioning of the unmanned forklift of the double-radar positioning system. According to the scheme, by obtaining the multi-source information of the millimeter wave radar, the laser radar and the inertial measurement unit, a multi-source fusion and dynamic correction mechanism adaptive to a metal processing plant is established, and the positioning precision of the unmanned forklift is remarkably improved.

The invention provides a data processing method and device, equipment, a storage medium and a program product, and can be applied to the field of storage systems and data management. The data processing method comprises the steps that input data are matched with multiple data types in a data type library, multiple target modes corresponding to the input data are obtained, and the multiple data types are stored in the data type library; based on the target mode, performing fragmentation polling processing on the input data to obtain target address information corresponding to the target mode, the fragmentation polling processing including segmenting the input data into a plurality of pieces of target mode data and processing the plurality of pieces of target mode data by using a plurality of threads; and storing a target mapping relationship between the multiple target modes of the input data and the corresponding target address information into a data type library.

The invention discloses an accurate matching method for radial clearance of a double-half-inner-ring angular contact ball bearing, and relates to the technical field of bearing manufacturing. In order to solve the problems that an existing method has very strict requirements on the consistency of the eccentricity and the groove curvature radius of a bearing inner ring, fluctuation exceeding 0.005 mm cannot exist, otherwise, a great difference exists between a theoretical matching radial clearance and an actual matching radial clearance, so that the actual matching radial clearance value is out of tolerance, unqualified products are generated, and the production efficiency is low. After two indexes di and L which cannot be accurately detected in an original formula are eliminated, an optimized formula Gr = De-D is calculated through the radial matching clearance, the diameter size of an outer compound circle is obtained only by measuring D after the D passes through a bearing inner ring and a steel ball assembly, and accurate control over the matching radial clearance of the double-half-inner-ring angular contact ball bearing is achieved, so that the accuracy of the matching radial clearance of the double-half-inner-ring angular contact ball bearing is improved, and the accuracy of the matching radial clearance of the double-half-inner-ring angular contact ball bearing is improved. After the matching radial clearance value is detected by a special instrument, the coincidence rate of the matching radial clearance value and the matching radial clearance value can be controlled within 0.001 mm, so that the matching rate of the bearing is greatly improved, and the production efficiency is improved. The method is suitable for bearing manufacturing.

The invention discloses a battery swap station and a battery swap method thereof.The battery swap station comprises a plurality of battery swap paths, each battery swap path is provided with a plurality of battery swap positions, and the battery pack model of at least one battery swap position on each battery swap path is different from that of other battery swap positions. According to the invention, after entering the battery swap station, the user can drive to the corresponding battery swap position through different battery swap paths to realize battery swap, so that the influence of other electric vehicles on the driving of the user is reduced, the conditions such as conflict, blockage and the like are avoided, meanwhile, the user can pass through the battery swap positions of various battery pack models on each battery swap path, and the user experience is improved. The situation that a user can only select the battery swap potential on a specific path or can find the matched battery swap potential through multiple battery swap paths due to the fact that only one battery swap potential of one battery pack model exists on one battery swap path is avoided, and therefore the probability that the electric vehicle is matched with the battery swap potential of the corresponding battery pack is increased; the time for searching the battery replacement potential by the user is shortened, and the battery replacement efficiency and the battery replacement experience of the user are improved.

The embodiment of the present invention discloses a site matching method and system, which relates to the field of computer technology. The method includes: obtaining a site matching request, wherein the site matching request includes an address name; removing the first address at the head of the address name and the interference words at the tail to obtain a simplified address name; and performing keyword matching based on the simplified address name to obtain a matching site. According to the site matching method of the embodiment of the present invention, keyword matching is performed based on the simplified address name with the first address at the head of the address name and the interference words at the tail removed to obtain a matching site. The influence of the first address and the interference words at the tail on the keyword matching service is avoided, and the accuracy and matching rate of site matching are improved.

This application provides a lightweight intelligent question-answering system based on multiple strategies and phased optimization. It includes a dynamic parameter configuration module configured to adjust the system's core parameters; a text preprocessing module configured to preprocess the language data to be recognized, obtaining preprocessed language data; an ONNX model inference module configured to generate semantic vectors from the preprocessed language data, obtaining semantic vectors; a vector post-processing module configured to refine and optimize the semantic vectors, obtaining target semantic vectors; and a similarity matching module configured to perform vector retrieval and semantic structure matching based on the target semantic vectors, obtaining the target speech answer corresponding to the language data to be recognized. This application solves the problems of high deployment cost, low word segmentation and vocabulary matching rate, insufficient vector discriminability, and high system complexity in existing intelligent question-answering systems.

This utility model relates to the field of PCB inspection technology, and in particular to an intelligent barcode reading and binding docking station. Its technical solution includes conveying and inspecting PCBs via a conveying mechanism and an inspection mechanism. The distance between the fixed and movable conveying components is adjusted using a threaded rod to facilitate the inspection of PCBs of different sizes. Two cameras capture images of the top and bottom surfaces of the PCB, and the illumination angle of the lighting is adjusted using an adjusting rod to solve the problem of unclear camera images. This facilitates the subsequent reading and binding of QR codes in the captured PCB images, thereby determining the PCB model and preventing errors in transmitting the PCB model to other SMT placement lines. This improves the PCB matching rate, reduces workload, saves time and labor costs for model inspection, and enhances the accuracy and efficiency of inspection.