12results about How to "Problem solving" patented technology

The invention discloses a customer service telephone traffic platform real-time scheduling data optimization method based on edge computing, and relates to the technical field of communication. The customer service telephone traffic platform real-time scheduling data optimization method based on edge computing comprises the following steps: S1, collecting resource data and state monitoring data in an edge computing environment for preprocessing, and constructing a telephone traffic scheduling database after storing the resource data and the state monitoring data; s2, carrying out stability analysis through resource load, response time and preheating progress; s3, fusing task execution, data synchronization, business adaptation and node stability, and evaluating the preheating state of the cold seat; s4, generating a traffic adaptation index through the resource load, the preheating state and the task queue data; and S5, monitoring the resource load, the task queue and the response time of the node in real time to form a load feedback signal, optimizing a task scheduling strategy and generating a load report. The problems that resource scheduling of a customer service telephone traffic platform is insufficient and the preheating state of a cold seat is indefinite under the conditions of high load and high concurrency are solved.

The application discloses a charging pile multi-fault intelligent detection system based on improved YoloV11, relates to the technical field of intelligent operation and maintenance of charging piles, and collects four-mode original data in an input layer; a preprocessing module processes the four-mode original data respectively to output uniform size feature maps; a backbone network performs feature extraction and enhancement through a light cross-channel convolution unit and a dynamic local feature module, and a RepResNet-18 module is additionally arranged for visible light mode data to perform feature enhancement; a cross-mode dynamic gate is used to enhance a fault correlation area; a neck network realizes cross-mode multi-level fusion and multi-scale hierarchical layering; a detection head multi-scale feature is used for boundary box prediction, fault category prediction and confidence prediction, and finally, a prediction result is output through an output layer. The application realizes breakthroughs in detection integrity, robustness and efficiency, can be directly applied to an edge intelligent monitoring scene of charging piles, and significantly reduces operation and maintenance costs.

The invention provides a work order processing method and device, electronic equipment and a storage medium, and relates to the technical field of data processing, and the method comprises the steps: obtaining work order data of a target work order, task description data and candidate executors; identifying the task description data by using a preset identification model, and determining work order scene features of the target work order, the work order scene features being used for describing features of a task scene corresponding to the target work order; and selecting a target pushing path based on the work order scene features and the current state of the candidate executor, and pushing a target work order to the executor through the target pushing path. Through adoption of the work order processing method and device, the electronic equipment and the storage medium, the communication cost in the hotel service management process is reduced, and the communication timeliness is improved.

The invention discloses a method and device for collecting and merging network security vulnerability data, and the method comprises the steps: crawling and storing vulnerability data issued by a plurality of network security vulnerability platforms through employing a web crawler technology, and carrying out the unification of the crawled vulnerability data; monitoring vulnerability data newly published by a plurality of network security vulnerability platforms, and if the field information of the new vulnerability data contains a general vulnerability exposure identifier CVEID, merging the new vulnerability data through the general vulnerability exposure identifier CVEID; and if the field information of the new vulnerability data does not contain the general vulnerability exposure identifier CVEID, combining the keyword of the vulnerability name, the influenced product and the version of the influenced product, and finally forming a set of complete general vulnerability data. According to the method and the device, vulnerability data of a plurality of network security vulnerability platforms are collected by utilizing a web crawler technology, and the vulnerability data are merged through two methods to form a set of complete general vulnerability data.

This design is a multi-task automatic EEG detection and prediction system for epilepsy. The system first receives the EEG signals from epilepsy patients to be identified or the collected patient EEG signals used for training the module through a preprocessing module. The preprocessing module performs noise reduction, filtering, segmentation, and normalization on the signals, and outputs the processed patient EEG signals to the training module. In the training module, the collected patient EEG signals are used for training and testing. First, feature extraction is performed using a multi-scale convolutional network. Then, the detection and prediction branches incorporating a dual attention mechanism are trained, and the trained model parameters are saved for use in the detection and prediction module. Finally, the detection and prediction module provides detection and prediction results for the EEG signals from epilepsy patients to be identified. This invention employs a modular design, achieving real-time detection and prediction of noisy, unbalanced EEG signals, providing a reliable system for practical applications.

This invention discloses a battery pack structure, relating to the field of battery pack heat dissipation technology. It includes a lower temperature equalization unit and an upper dual-mode heat dissipation unit. The lower temperature equalization unit includes a housing containing battery cells filled with an insulating and thermally conductive immersion liquid, ensuring complete immersion of the cells for uniform temperature distribution. The upper dual-mode heat dissipation unit includes a dual-cavity heat dissipation aluminum cover sealed to the top of the housing. Its lower side is attached to the battery cell terminals and aluminum foil via an insulating and thermally conductive elastic pad, dissipating the most concentrated heat from the top via the shortest path. The dual-cavity heat dissipation aluminum cover integrates a liquid cooling channel and an air cooling channel located above it. This invention, through a thermodynamically optimized design of "bottom full immersion temperature equalization + top directional heat conduction," completely eliminates the temperature difference between the top and bottom of the battery cells. Combined with dual-mode switching of air cooling priority and liquid cooling backup, it significantly improves heat dissipation efficiency, battery cell temperature uniformity, safety, cycle life, and reduces energy consumption.

Embodiments of the present application relate to a kind of high-precision map processing method and device, the method comprises: in the process of first vehicle driving, the road ahead is surveyed and is surveyed and is generated first survey view;First survey view is detected to generate multiple first target detection frame;According to all first target detection frame, confirm whether the road scene in front is road intersection scene;If it is confirmed as road intersection scene, then sort out map information calibration board detection frame and positioning calibration board detection frame;According to map information calibration board detection frame, standard high-precision map acquisition is obtained first standard high-precision map;According to all positioning calibration board detection frame and first standard high-precision map, self car map coordinate confirmation is generated first vehicle map coordinate;According to first vehicle map coordinate and all first target detection frame, first standard high-precision map is fused to generate first intersection high-precision map.The present application is helpful to improve the response speed of vehicle automatic driving system in road intersection.

The utility model relates to the field of mold opening devices, and discloses an automatic mold opening device which comprises a base, a supporting frame is fixedly connected to the side wall of the base, a hydraulic cylinder is arranged on the side wall of the supporting frame, an upper mold is connected to the side wall of the supporting frame in a sliding mode, and the output end of the hydraulic cylinder is connected with the upper mold. A lower mold is fixedly connected to the side wall of the base, a jacking assembly is arranged in the base, and a cooling assembly is arranged on the side wall of the base; the jacking assembly comprises a top plate, the side wall of the top plate is slidably connected to the interior of the lower mold, and a sleeve rod is fixedly connected to the interior of the base. According to the utility model, after the mold is manufactured, the hydraulic cylinder is used for driving the upper mold to be separated from the lower mold, and the motor is used for driving the rotating rod, the gear, the rack and other components to cooperatively operate, so that the mold in the lower mold is ejected out, the problems of complicated operation and low ejection efficiency during demolding of a traditional mold are solved, and the automation degree of demolding of the mold is improved.

The invention relates to the technical field of monitoring management, and discloses a monitoring management method and system for an automatic assembly line, and the method comprises the steps: collecting the process data and material data of the automatic assembly line, and storing the process data and material data in a window in an annular queue according to the size of the window matched with the process features, performing point-by-point comparison on the assembly line data set, verifying the result of the process parameters of each process and a preset process standard, tracking the material position change of the automatic assembly line, determining the cohesion difference of adjacent process beats based on the verification result, determining the cohesion difference and the association result of the automatic assembly line based on an association rule algorithm, and sending the association result to the automatic assembly line. And generating a beat correction factor for the association result, the track record, the verification result and the connection difference based on the production line digital twinborn model, and adjusting the connection difference according to the beat correction factor, thereby ensuring the reliability of monitoring and management of the automatic assembly line.

This utility model relates to the field of sludge treatment, specifically to a sludge treatment system for river management. Located in the middle of a vessel, the system comprises three longitudinal zones: thickening, solidification, and sludge storage. In the thickening zone, the sludge undergoes initial dewatering through an inclined initial filter belt, pre-compression rollers, and gravity. In the solidification zone, an S-shaped extrusion path is formed by upper and lower high-pressure filter belts and staggered press rollers, combined with a serrated texture to enhance the extrusion effect and further reduce the moisture content. In the sludge storage zone, the sludge cake is transferred or temporarily stored via the forward and reverse rotation of the storage belt, ensuring continuous processing.

The invention provides an intelligent question and answer method and system, and the method comprises the steps: S1, receiving a document, and carrying out the preprocessing of the document, including cleaning, keyword scanning extraction, classification and metadata scoring; and S2, in response to questions of the user, performing analysis, vector calculation and similarity calculation on the questions, and outputting a result. According to the method, online business changes can be followed in time, the problem that iteration of a local knowledge base is not timely is solved, in addition, documents are directionally processed through the industry model, the semantic recognition capability of the synonyms is improved, the questioning intention of a user is more accurately grasped, professional business knowledge is returned, and the answering accuracy is greatly improved.

The utility model relates to bone soup production technical field discloses a bone soup decocting equipment with separation structure, including support frame, the support frame side wall fixedly connected with fixed frame, the fixed frame inside is provided with mobile assembly, the support frame inside is provided with jar body, the jar body side wall is provided with jar cover, the jar body inside is provided with filter assembly, the filter assembly includes filter cartridge, the jar body inside fixedly connected with fixed ring, the jar body bottom fixedly connected with drain pipe, the filter cartridge side wall sliding connection in the jar body with the fixed ring inside, the filter cartridge upper surface fixedly connected with handle, in the utility model, motor no.