121results about How to "Improve collaboration efficiency" patented technology

The invention relates to the technical field of robot control, particularly discloses a path planning and dynamic obstacle avoidance control method for multi-task collaborative operation of an industrial robot, and aims to solve the problems of task scheduling conflict, dynamic obstacle response lag and low collaborative efficiency in a multi-robot system. The method comprises the following steps: constructing a task-resource joint scheduling model and generating initial task allocation; planning a conflict-free collaborative path based on an improved space-time A star algorithm; predicting a dynamic obstacle trajectory by using an LSTM network and generating a space-time envelope; constructing a second-order safety barrier function fusing task priorities; local obstacle avoidance re-planning is realized through rolling horizon model predictive control; and the global rescheduling is triggered when the task delay exceeds the limit or the deadlock risk occurs. According to the technical scheme, closed-loop linkage of global task collaboration and local dynamic obstacle avoidance is realized, and the system collaboration efficiency, the obstacle avoidance success rate and the operation robustness are remarkably improved.

The invention relates to the technical field of underwater static target object detection and processing, in particular to an unmanned cross-domain positioning and acoustic fingerprint processing method and system for an underwater static target. Comprising the following steps: performing wide-area scanning on a task sea area, and scheduling an AUV and unmanned aerial vehicle cluster to a target area after discovering a suspicious target; the unmanned aerial vehicle cluster receives an acoustic signal of the AUV and transmits the acoustic signal to the cooperative resolving center in combination with self-positioning data so as to provide accurate coordinate guidance for the AUV; the AUV sails to a target area, parallel processing map construction and accurate positioning, target identification and dual-mode fingerprint generation are carried out, and a target task package is packaged; the ROV receives and analyzes the task packet, autonomously plans a path and sails to a target area, a sonar is started to collect data and generate real-time feature fingerprints, and the real-time feature fingerprints are matched with fingerprints in the task packet; and after matching succeeds, a specific job task is autonomously executed. According to the invention, a complete automatic solution is provided for scenes such as deep and far sea detection, emergency salvage, pipeline maintenance and the like.

The invention belongs to the technical field of ship tracking and positioning, and discloses a ship dynamic tracking method and system based on Beidou positioning, and the method comprises the steps: employing a ship-borne Beidou satellite receiver to determine the position in real time, judging whether to trigger a ship dangerous case alarm, marking a ship in distress, and transmitting the dangerous case alarm information to a Beidou comprehensive application service platform; positioning a ship in distress on an electronic chart, marking a dangerous case range, querying surrounding ships or a global marine meteorological model to generate a vector marine field of the dangerous case range, predicting a drifting high-probability area of the ship in distress, searching a prepared rescue ship for the ship in distress, generating a minimum-cost path, and calculating predicted arrival time; the method comprises the following steps: acquiring the position and state of a ship in real time, generating a pre-rescue ship list, sending a rescue request to the pre-rescue ship, marking an actual rescue ship according to a reply, and carrying out parallel obstruction detection and obstruction coordination on the actual rescue ship. And full-process tracking rescue from dangerous case alarm to rescue execution is realized.

The application provides an intelligent inventory control management method and system based on a supply chain cooperation mechanism, applied to the technical field of supply chain management, preliminary demand prediction of a downstream partner is received, demand intention information containing customization component possibility weight and potential demand range is generated according to the prediction, after the upstream supplier receives the demand intention information, the influence of the demand intention information on future production resources is further evaluated, an evaluation result is obtained, finally, according to the evaluation result, the method performs flexible preparation in advance, including production window soft reservation, upstream material pre-communication and special mold preparation, effectively coping with the supply uncertainty of the customized components, avoiding the dilemma of standard component overstock and customized component shortage, realizing lean production and on-time delivery, and bringing significant economic benefits and competitive advantages to enterprises.

The application relates to a multi-scene emergency disposal decision system in traffic safety management. The system comprises a dynamic decision library module, an accident perception positioning module, an intelligent decision matching module and a multi-department linkage scheduling module. The system can analyze historical accident cases through structuring, build a knowledge graph and a simulation model, generate a dynamic fusion decision knowledge base, obtain multi-source heterogeneous perception data in real time, perform abnormal analysis and directional analysis, generate structured accident confirmation information, retrieve matching cases and strategy packages in the knowledge base, generate and optimize disposal schemes, distribute the deconstructed disposal tasks to emergency departments, monitor the execution process in real time, generate a disposal complete data package and update the knowledge base. The method can significantly improve the efficiency and accuracy of emergency disposal in traffic safety management by building a dynamic fusion decision knowledge base and combining real-time data-driven simulation optimization, and can enhance multi-scene adaptability and multi-department collaboration ability.

This invention provides a contract review assistance system, method, and storage medium. By constructing a four-layer architecture of "main agent - sub-agent - toolset - data resource layer," intelligent processing of contract review and related business scenarios is achieved. This architecture not only improves the flexibility and collaborative efficiency of task processing but also reduces reliance on manual intervention and error rates. Thus, it achieves an efficient, accurate, and structured review process through intelligent means, thereby improving the processing efficiency of contract review and related business scenarios. This solves the technical problem that existing contract review methods cannot fully meet the core review needs of the contract marketing and risk control domains, leading to low contract review efficiency.

The application relates to the technical field of injection molds, and particularly discloses an automobile interior part injection mold with a cooling structure, which comprises an injection machine frame and an injection unit; the injection unit is arranged on the injection machine frame; the injection unit comprises a fixed mold plate, and further comprises a demolding unit and a receiving unit; the demolding unit comprises a fixed base and a movable mold plate; the fixed base is fixedly connected to the injection machine frame; a guide rod and a cylinder one are arranged on the fixed base; the output end of the cylinder one is connected to the movable mold plate; a pulse air cooling type global cooling system is constructed; cooling air is directly output to the product forming surface through the distributed air holes on the side wall of a mold groove and the surface of a convex mold; the bottleneck of the shape following property limited by the traditional water cooling is broken; the uneven cooling of a special-shaped cavity can be realized; the product temperature field distribution is effectively balanced; and the internal stress and warping deformation during the molding are inhibited.

The application provides a cross-operator eSIM profile migration method and system, comprising: receiving a profile migration request sent by a user terminal; verifying the profile migration request based on a smart contract, and sending a release notification to a source operator node after verification; receiving release confirmation information and data addressing credentials returned by the source operator node; sending a download notification carrying the data addressing credentials to a target operator node, so that the target operator node downloads and decrypts encrypted configuration data based on the data addressing credentials; receiving reception confirmation information returned by the target operator node, and updating the ownership state of the target profile. The method can reduce the dependence on centralized servers by uniformly processing the profile migration process based on the smart contract by the migration management module, thereby improving the collaborative credibility and state update reliability of cross-operator migration, and further reducing the risk of single point failure, data tampering and difficult traceability of migration history.

The utility model discloses a slide formula automatic feeding device relates to feeding device technical field, including support, a plurality of conveying tracks are installed with equidistance on the support, and the slide is formed between two adjacent conveying tracks, the inside conveying of slide has a plurality of workpiece main bodies, the mounting plate is installed on the support, the feeding assembly for separating two adjacent workpiece main bodies is installed on the mounting plate, the feeding assembly includes the rotation axle of rotation mounting on the mounting plate, the rotation axle is spaced apart and is provided with three, and the outer wall of each rotation axle all installs the cam, the outer wall of cam installs the separating rod, four connecting rod mechanisms that drive rotation axle rotates are still installed on the mounting plate. The utility model discloses through the automation batch piece, reduces personnel walking distance and piece frequency, realizes " one person many posts " optimization.

The invention provides a data processing method. The data processing method comprises the following steps: dynamically adapting a protocol of an external system; collecting source data from an external system; performing primary processing on the source data, removing redundant data, and retaining target data; providing an empty data table, performing secondary processing on the target data, writing the target data into the empty data table, and generating a real data table; processing the data in the real data table for three times to generate a declarated data table, and declaring the declarated data table to an external system; receiving an audit receipt from an external system; performing finance and taxation compliance auditing on the declarable data table according to a receipt result; and notifying an external system to complete subsequent operation. According to the data processing method provided by the invention, the protocol of the external system is dynamically adapted, the external system is flexibly connected, and the cooperation efficiency is improved; in addition, uneven resource allocation of the execution units is avoided through an intelligent scheduling algorithm, and efficiency and stability are improved under high concurrency. The invention further provides a data processing system used for executing the data processing method.

The invention provides a quality data multi-index cross-domain NLP enhanced retrieval and computing power sharing method, which comprises the following steps of: establishing a group headquarter cross-domain quality intelligent platform as a central nervous, and configuring an intelligent retrieval service and data exchange engine basic capability unit for each hierarchical subject; secondly, the basic-level quality management system is connected to the quality intelligent service system to form hierarchical association; and finally, realizing cross-domain retrieval and computing power sharing through intelligent identification, matching functions and cross-node data transmission. According to the method, the data integration problem is solved through the quality information exchange directory, and comprehensive integration and efficient utilization of the quality data are realized; the service collaboration problem is solved through cross-domain data interaction and collaboration, and the collaboration efficiency and the product quality control precision are improved; the technical adaptation problem is solved by deploying a platform and an engine and sharing basic computing power, and stable interaction of data and deep application of the AI technology are guaranteed.

The application relates to the technical field of supply chain management, and in particular to a supply chain management method, system, device and medium. The method comprises the following steps: receiving order demand information uploaded by a client, selecting multiple candidate combinations capable of meeting the order demand information from supply chain participants, each candidate combination comprising a supplier, a manufacturer and a warehousing party; determining a comprehensive score of each candidate combination, determining a candidate combination with the highest comprehensive score as an optimal combination; obtaining to-be-warehoused orders of the warehousing party in the optimal combination, generating a to-be-warehoused order list according to the order demand information of each to-be-warehoused order; determining a carrier of each to-be-warehoused order in the to-be-warehoused order list, and sending a transportation request of each to-be-warehoused order to the corresponding carrier to guide the execution of a transportation task. The application can realize integrated scheduling of supply chain full-link subject selection and order fulfillment, and improve overall collaborative efficiency and rationality of resource allocation.

The invention discloses a cloud edge hierarchical collaborative information system integrated resource scheduling system. The system comprises an acquisition module. Data preliminary cleaning and feature extraction are locally executed through the edge end, only key feature data are uploaded, network transmission quantity is reduced, cloud computing pressure is relieved, real-time tasks can respond quickly, task timeout caused by transmission delay is avoided, feature vectors of the edge end and the cloud end are dynamically analyzed based on a scheduling decision model of reinforcement learning, and the real-time performance of the edge end is improved. Task requirements and resource states are intelligently matched, the scheduling accuracy is improved, model parameters are dynamically updated through task execution state data (such as duration and resource utilization rate deviation), the model is adaptively optimized along with environment changes (such as edge end hardware aging and cloud load fluctuation), the efficient scheduling capacity is kept for a long time, and the scheduling efficiency is improved. Layered processing and intelligent scheduling avoid edge end overload or cloud end resource idling, resource allocation of a CPU, a memory and the like is optimized, resource waste is reduced, and the system collaboration efficiency is integrally improved.

The application provides a medical institution-oriented safety hazard identification and rectification closed-loop management method and system, applied to the field of data processing. First, the on-site image, question and answer reporting information, regulation text and collaboration related data are collected, and then image preprocessing is completed through filtering, enhancement, ROI extraction and size normalization to provide standard data for AI recognition. Relying on the YOLOv8 and ResNet-50 double models to realize hazard detection and fine classification, combined with the confidence threshold to automatically judge and trigger manual bottom, to ensure accurate identification. Based on the three-level regulation matching strategy, generate compliance rectification suggestions, set rectification time limit and responsible person according to hazard level. Through the closed-loop circulation of work order, audio and video verification, EXIF verification, return upgrade and WeChat external chain cooperation, the whole process is traceable. Finally, statistical analysis and visualization of business data are carried out to form a complete hazard intelligent identification, compliance rectification, collaborative disposal and decision support system.

The invention provides a work content and progress plan association method, system and device based on a BIM model. The method comprises the steps that the BIM model of a project is acquired; obtaining a progress plan library of the project; performing dynamic code association based on the component identification code of each component in the BIM model and the progress plan code in the progress plan library to obtain an associated BIM model; acquiring a post work content library; the post work content code is consistent with the progress plan code; and based on the progress node of the associated BIM model, triggering a post work task corresponding to a post work content code which is the same as the progress plan code in the post work content library, and sending the post work task to a corresponding post worker. According to the invention, the post work content and the progress plan can be associated by using the component identification code, the progress plan code and the post work content code based on the BIM model, so that the project construction management efficiency is improved.

This utility model relates to the technical field of aging test equipment, and in particular discloses an automatic feeding multi-layer aging rack, including a frame and an aging line mounted on the frame. The aging line includes an aging station, an aging fixture, a transmission mechanism, a lifting assembly, and a drive motor. The frame has an interface for electrical connection to an external power source at the aging station. The aging fixture carries the test workpiece and performs aging tests on it. The transmission mechanism, mounted on the frame, transports the aging fixture to the aging station. The output shaft of the drive motor is connected to the transmission mechanism to provide power. The transmission mechanism drives the aging fixture, which in turn carries the test workpiece to the aging station. The lifting assembly lifts the aging fixture, causing it to connect the test workpiece to the interface for electrical aging testing. This utility model, by incorporating a lifting assembly, automates the entire process from loading the test workpiece to electrical connection for aging testing, reducing manual intervention and improving work efficiency.

The present application relates to a kind of multi-unmanned aerial vehicle narrow airspace cooperative path planning method based on distributed optimization, comprising the following steps: establishing the three-dimensional kinematic model of unmanned aerial vehicle, and defining narrow airspace boundary constraint;According to task demand, generate reference path for each unmanned aerial vehicle;Design distributed optimization controller based on local information;With reference path as tracking reference, use distributed optimization controller to solve control input vector in real time, to control the actual flight path of unmanned aerial vehicle.The method of the present application can realize completely distributed control, eliminate single point failure risk, and can ensure that unmanned aerial vehicle is collision-free and maintains desired formation, realizes speed consistency, improves cooperative efficiency.

The utility model provides a kind of inspection robot, and inspection robot includes: fuselage, tracked mobile chassis, threading component, information acquisition component, controller, power component and navigation module;Tracked mobile chassis includes two tracks, and two tracks are arranged in the both sides of fuselage, and with fuselage movably connected;Threading component and information acquisition component are respectively arranged in the both ends of fuselage, and threading component is fixedly connected with fuselage, and information acquisition component includes infrared camera, and infrared camera is movably connected with fuselage;Controller, power component, navigation module are respectively fixedly connected with fuselage;Tracked mobile chassis, information acquisition component, threading component, navigation module are respectively electrically connected with controller;Tracked mobile chassis, information acquisition component, threading component, navigation module are respectively electrically connected with power component.Inspection robot has the moving ability of adapting complex environment and the work ability of efficient cooperation, and can satisfy the automatic inspection demand under various scenes.

The application discloses a kind of textile production multi-device collaborative intelligent management and control systems, it is related to collaborative management and control technical field, comprising: data acquisition module, for collecting textile production each process equipment working condition data, generates independent input unit;Topology reconstruction module is used to divide out equipment inherent working condition component matrix, cross-device topology coupling component matrix and random noise component matrix, and stripping coupling disturbance and random noise obtains equipment independent working condition component matrix;Subgroup division module is used to calculate the topological correlation between devices and constructs device topological correlation matrix, carries out collaborative management and control subgroup division, generates the collaborative weight matrix corresponding to each subgroup;Collaborative control module is used to construct three-level hierarchical collaborative control architecture, complete production task decomposition and global scheduling, subgroup process parameter collaborative optimization calculation and equipment process parameter real-time adjustment and feedback, effectively improve the dynamic, accuracy and stability of textile production multi-device collaborative management and control.

The utility model belongs to industrial automation equipment technical field especially, it is a kind of shared walking axle device of multi-robot cooperation. Including horizontal moving mechanism, robot base, mechanical linkage mechanism, movement limit block, anti-collision block and position sensor, reduce equipment floor area by sharing walking axle, by high rigidity compound track design, make three robots share same group basic walking axle, actual measurement reduces floor area 40%-60%, especially suitable for the flexible production line layout of space limited. Save the hardware and driving cost of multiple walking axle, simplify installation debugging process (shared axle only needs once calibration), reduce later maintenance point (lubrication / wear detection concentrates in single axle), life cycle maintenance cost reduces by more than 20%. Synchronous drive design can also reduce energy consumption, actual measurement peak power consumption reduces 30%.

The invention relates to a construction method of a wet electronic chemical quality control system based on Visio. According to the method, visual modeling is carried out on the wet electronic chemical quality control process by using Visio software, the method comprises the links of project approval of a product, formula development, process development, PPAP verification, mass production and the like, and all the link steps are defined. Visualization, standardization and efficient management of the wet electronic chemical quality control process can be achieved, the quality control efficiency and accuracy are improved, quality problem tracing and analysis are facilitated, a visual decision basis is provided for enterprise managers, the quality management level of wet electronic chemicals can be improved, and the economic benefit of enterprises is improved. And the requirements of the semiconductor industry on high-quality wet electronic chemicals are met.

The water filling and sand disturbing integrated gate structure comprises a hollow screw rod, the upper end of the hollow screw rod is connected with a high-pressure water / gas conveying device, and the lower end of the hollow screw rod is connected with a gate through a long hole extending in the vertical direction; the hollow screw rod can drive the gate to move up and down under the action of the driving device; a pressurizing water seal system is arranged on the periphery of the gate panel, and a gate sand disturbing system is further arranged on the gate panel. The pressurizing water seal system comprises a water seal structure and a pressurizing pipeline connected with the water seal structure, the pressurizing pipeline is connected with the hollow screw through a second high-pressure hose, a first one-way valve and a reversing water filling valve are sequentially arranged on the pressurizing pipeline in the pressurizing direction, and opening and closing of the reversing water filling valve are achieved through vertical movement of the hollow screw. The device is simple and compact in structure, has the core functions of transmitting opening and closing force and conveying water and gas, and achieves the dual purposes of water seal water filling and gate sand disturbing.

The invention relates to the technical field of smart power grids, in particular to a compressed air energy storage and electrochemical energy storage cooperative scheduling method for power grid regulation, which comprises the following steps: acquiring load power of a power grid load side at different moments in each time period under each monitoring period, obtaining the charging and discharging power of each energy storage device in the hybrid energy storage system at each moment in each time period; the random fluctuation degree, the supply and demand deterioration degree and the unsteady state coefficient of each time period are calculated, and the unsteady state coefficient of each time period in the next monitoring period is predicted; extracting all asynchronous time periods; and the asynchronous coefficient of each time period is calculated, the adjustment coefficient of each time period in the next monitoring period is determined, the proportion parameters of the voltage loop and the current loop of the double-closed-loop PI control strategy are respectively adjusted, and cooperative scheduling is carried out on the energy storage equipment in the hybrid energy storage system. According to the invention, the energy storage system can timely respond to the rapid change of the load, and the fluctuation of the power grid frequency and voltage is reduced.

The application provides a multi-level permission collaborative management method and platform for a guarantee system, relates to the technical field of permission management, and comprises the following steps: after a guarantee task is generated in the guarantee system, multiple collaborative subjects participating in the guarantee task are abstracted as game participants, and the execution process of the guarantee task is constructed as a multi-stage dynamic game process; a strategy space is constructed for each game participant; a multi-subject benefit evaluation model is constructed based on the risk benefit and compliance constraints of the current task state; the optional strategy set of each game participant is cut based on the strategy space and the constraint boundary, and the effective strategy subspace is input into the multi-subject benefit evaluation model; the permission allocation strategy is dynamically configured according to the optimal strategy combination of the stage, and multi-level permission collaborative management is performed. Through the application, the technical problem of poor guarantee system permission collaborative management efficiency in the prior art can be solved, and the technical effects of improving system collaborative efficiency and optimizing the task execution process are achieved.

The invention discloses a traffic field AI Agent agent based on consanguinity analysis and a fine-tuning large model, belongs to the cross technical field of artificial intelligence and traffic data processing, and adapts to traffic core business scenes such as online car-hailing operation and the like. The implementation path is as follows: collecting original table establishment data of traffic core business, implementing three-level standardization operation, and constructing a consanguinity knowledge graph containing association of business fields, core indexes and traffic scenes; vectorization coding of traffic semantic enhancement is carried out on the map, and a vector knowledge base is built; based on a Qwen3 and Transform fusion architecture, a vector knowledge base is used as a support, traffic industry specifications and the like are fused to construct a pre-training corpus, and after pre-training, a LoRA lightweight fine tuning strategy is used to adapt to traffic exclusive tasks to construct an interaction model Agent; and carrying out blood relationship analysis on traffic service data by means of Agent, and generating a structured diagnosis report containing service insight and decision suggestions. According to the method, the problem that the accuracy is insufficient when the existing AI Agent processes the business data in the traffic field is solved, the traffic data quality and the decision reliability are improved, and technical support is provided for traffic business data abnormity positioning and operation optimization.

The invention provides an agent management method and device for a mobile network and a computer program product, and relates to the technical field of mobile communication. The method comprises the steps that an agent storage network function receives an agent registration request sent by an agent, wherein the agent registration request comprises agent registration parameters; in response to the agent registration request, the agent storage network function stores agent registration parameters to complete agent registration; and the agent storage network function sends an agent registration request response to the agent to inform the agent that registration is completed. According to the embodiment of the invention, the agent can be managed through a mobile network.

This invention relates to a prediction-based robotic arm path planning method, apparatus, electronic device, and medium. The method involves real-time acquisition of hand position data and storage in a raw dataset, which also includes the current position data of the robotic arm, target position data, and actual obstacle position data. Based on the raw dataset, an Informer model is trained to obtain model weights and output predicted hand position data. The predicted hand position is used as a virtual obstacle, and a predicted repulsive potential field is obtained based on the predicted hand position data. Based on the predicted repulsive potential field, the repulsive potential field of the actual obstacle, and the gravitational potential field of the target position, the current resultant force is calculated to optimize the robotic arm's trajectory, control the robotic arm's movement, and perform sorting. The target position is the endpoint of the robotic arm's movement. Compared with existing technologies, this invention has advantages such as higher prediction accuracy, faster calculation speed, and higher human-machine collaboration efficiency.

The present application relates to the field of simulation technology, specifically to a device cluster job simulation planning method based on multi-agent cooperation, which constructs a land grid model and a yield density upper and lower bound channel, determines the capacity critical threshold interval by forward cumulative scanning, generates a target point based on the interval midpoint and passability constraints, and realizes cooperative device path guidance. The target point offset gating mechanism is introduced to control path re-planning triggering, improve path stability and responsiveness. The interval boundary is dynamically modified during the job process by combining the measured yield, and the final meeting point is locked when the interval length and meeting distance conditions are met. After the simulation is completed, the attribution analysis is performed by locking the deviation and cumulative displacement indicators, the row sequence is adjusted and iteratively re-simulated and optimized by combining the row accessibility, and the optimal job scheme is output. The method can improve the efficiency and simulation accuracy of device cooperative operation in complex environments.

The application discloses a kind of news production-oriented collaborative editing control method, system and device, wherein the method comprises: receiving the creation request of news article;The creation request includes collaborative mode type, the task requirement of each role;The role includes writer, editor, auditor, publisher;The collaborative mode type includes serial mode, parallel mode, mixed mode;Single writer writes in the serial mode;Multiple writers write in parallel in the parallel mode;In the mixed mode, multiple writers write in parallel in the first part of specified content, and multiple writers write in sequence in the second part of specified content;Based on news special operation function, receive the article content input by writer or editor;Determine the audit process according to at least one of the creation request, article content;According to audit process, the article content is audited and published.The application can establish the collaborative mode in line with news production, and improve the efficiency of multi-person collaboration.

The application relates to a ship-shore cooperative energy-saving collision avoidance berthing method and system based on adaptive time-domain network model predictive control (MPC). In the model predictive control, an adaptive prediction time domain is designed. The existing objective function of the model predictive control is improved. Energy consumption is constructed as one of the objective functions in the nonlinear model predictive control framework. Based on the framework, a new actual control and state constraint algorithm is designed to ensure energy saving of the berthing framework. Therefore, the improved emperor penguin optimizer is used for conflict avoidance decision. At each sampling time, based on a nonlinear ship maneuvering model, a finite time domain optimal control problem is established. Under different disturbances, including direct berthing and turning approach berthing technology, different berthing methods are realized by using robust model predictive control. Through the control strategy, close connection between ship maneuvering control and energy consumption is realized. Due to its predictability, the MPC ensures collision detection and avoidance as well as path planning and tracking.