33results about How to "Improve collaborative work efficiency" patented technology

The invention relates to the technical field of unmanned aerial vehicles, and discloses an inspection unmanned aerial vehicle flight control management method, which comprises the following steps: step 1, an unmanned aerial vehicle obtains environment three-dimensional point cloud data through a laser radar, captures terrain visual information through an RGB camera and a depth camera, obtains real-time position and attitude information of the unmanned aerial vehicle through a GPS and an inertial measurement unit, and obtains the real-time position and attitude information of the unmanned aerial vehicle; and fusing the collected data to construct a spatial grid map, and taking the grid map as input data of path planning. A high-precision space grid map is generated through three-dimensional environment perception and modeling in combination with an unmanned aerial vehicle multi-sensor fusion technology, and a path is updated in real time by using dynamic environment data, and an air route is planned and optimized, so that path dynamic adjustment and energy consumption minimization of the unmanned aerial vehicle in a complex dynamic environment are realized; and the effects of improving the task execution efficiency, reducing the flight energy consumption and improving the flight safety are achieved.

The invention discloses a multi-device cooperative management system based on cloud edge cooperation, and relates to the technical field of Internet of Things communication, and the system comprises a device management module which is used for connecting edge devices, carrying out the centralized management of the edge devices, and carrying out the optimal scheduling based on the functions and distribution positions of different edge devices; and the data acquisition module is connected with the equipment management module. According to the multi-device collaborative management system based on cloud edge collaboration, a comprehensive and accurate data basis is provided for multi-device collaborative management, and information exchange and collaborative work between devices are promoted; the optimization decision-making unit can formulate an equipment optimization management strategy according to the operation scheme generated by the big data analysis unit and the prediction result obtained by the prediction analysis unit, and continuously performs optimization adjustment according to the real-time operation condition of each piece of edge equipment; therefore, the system can adapt to continuously changing equipment operation environments and task requirements, and more efficient multi-equipment collaborative management is realized.

The invention discloses a new energy intelligent safety team system, and relates to the technical field of new energy, the new energy intelligent safety team system comprises a central regulation and control module, the central regulation and control module is in communication connection with a field operation management module, an educational training module, a risk pre-control module, a hidden danger checking and emergency management module and an intelligent hardware integration module, and the field operation management module is used for providing operation guidance for team personnel through the intelligent terminal, pushing safety risk information in an operation environment in real time, and performing task allocation, progress tracking and completion condition feedback. According to the invention, by monitoring key information such as the working state of team personnel, the equipment operation condition and the environmental parameters in real time, abnormal or potential risks are found in time, and related information is automatically pushed to management personnel, so that the safety management capability of the team is enhanced, safety accidents are effectively prevented, and the safety of personnel and property is guaranteed.

The invention discloses an unmanned aerial vehicle cluster path self-correction method based on air-ground multi-dimensional data fusion. The method comprises the steps of collecting air-ground data including space environment image information, target end point information, unmanned aerial vehicle position and attitude information, and interaction position, speed information and task target information of a ground platform; the ground mobile platform plans a flight path and a confluence point of the unmanned aerial vehicle by adopting a multi-target collaborative path optimization algorithm and taking minimization of task cost and time as a target; laser and visual sensor information features are combined, a sensor uncertainty probability model is established, multi-sensor information is fused through an improved Bayesian filtering algorithm, and the occupancy probability of nodes of the three-dimensional octree map is updated; and the unmanned aerial vehicle cluster compensates the path deviation in real time and corrects the flight path according to the inertial measurement unit data of the coordinate system of the ground mobile platform. According to the invention, the path planning and self-correction capability of the unmanned aerial vehicle cluster in a complex environment is improved, and the flexibility and reliability of task execution are enhanced.

The embodiment of the invention provides a communication system based on a master-slave unmanned aerial vehicle hangar, and relates to the technical field of unmanned aerial vehicles, and the specific scheme is as follows: the communication system based on the master-slave unmanned aerial vehicle hangar comprises a server, a master unmanned aerial vehicle hangar and one or more slave unmanned aerial vehicle hangars; the server side is used for sending a first message instruction carrying identification information of a target unmanned aerial vehicle hangar to the master unmanned aerial vehicle hangar, and the target unmanned aerial vehicle hangar comprises the master unmanned aerial vehicle hangar and / or a slave unmanned aerial vehicle hangar; the main unmanned aerial vehicle hangar is used for analyzing the received first message instruction in response to the received first message instruction, and determining a second message instruction and a target unmanned aerial vehicle hangar according to an analysis result; and the target unmanned aerial vehicle hangar is used for responding to the received second message instruction, executing a task indicated by the second message instruction, obtaining a task execution state and sending the obtained task execution state to the main unmanned aerial vehicle hangar. By applying the scheme provided by the embodiment of the invention, the cooperative work efficiency of a plurality of unmanned aerial vehicle hangars can be improved.

The invention provides a data alignment method and system and a storage medium. The method comprises the steps that world time information is acquired, and a constraint mode of a trigger signal is selected; outputting a trigger signal to a corresponding sensing device according to the world time information and the constraint mode, so that each sensing device obtains sensing data based on the trigger signal; and based on the constraint mode, selecting a corresponding alignment mode to perform alignment processing on the sensing data. According to the method provided by the invention, the problem that a back-end perception fusion application cannot obtain accurate perception information due to the fact that the perception contents of the perception devices are not matched is solved, and the perception data collected by the multiple perception devices are effectively aligned.

The invention relates to the technical field of ore washing, and particularly provides an ore washing device for barite powder raw material processing. Comprising a cleaning pool, two precipitation cavities, a raw material collection cavity, an opening and closing mechanism, an arc-shaped filter plate, a mud scraping mechanism and a plugging mechanism. A raw material collecting cavity and two sedimentation cavities are further formed in the bottom of the cleaning pool, muddy water and raw materials are discharged into the corresponding sedimentation cavities and the raw material collecting cavity through cooperation of an opening and closing mechanism, an arc-shaped filter plate and a plugging mechanism, and the problem that the cleaned raw materials are inconvenient to take out through a traditional ore washing device is solved; meanwhile, the ore washing device can directly conduct sedimentation treatment on discharged muddy water through the sedimentation tank, the cost of muddy water sedimentation treatment is reduced, the complexity of muddy water treatment operation is reduced, raw materials and mud in a sedimentation cavity are conveyed and discharged at the same time through cooperation of a conveying shaft, an integrated transmission set and a mud scraping mechanism, and the utilization rate of the raw materials is improved. Therefore, the cooperative work efficiency of discharging and conveying the slime and the raw materials after the raw materials are cleaned is improved.

The invention discloses an industrial data analysis method and system based on a dynamic form, and relates to the technical field of data analysis, when a plurality of systems share data, the systems calculate the similarity Xsd of data items through a repeatability analysis module, and screen out repeated data sets based on the similarity, so that the systems can effectively identify and eliminate redundant data, and the data processing efficiency is improved. And unnecessary repeated acquisition and storage are avoided, so that data storage is optimized, storage resources are saved, and the burden of redundant data is reduced. Through a data usage analysis module, the system can identify features of each data item in different contexts within a duplicated data set. Through data context vectorization and analysis of the use difference degree Cyd in different contexts, the system can further judge which data items have different meanings in different systems or service scenes, so that non-redundant data which should not be regarded as redundancy is screened out, and the analysis ensures that the system performs judgment not only based on the data similarity.

The invention discloses a movie and television later special effect multi-specialty cooperation virtual simulation processing system, and relates to the field of movie and television later special effect multi-specialty cooperation. The system comprises the cloud database for the film and television later special effect multi-specialty cooperative processing system and the user database for the film and television later special effect multi-specialty cooperative processing system. The term library covering all related professional fields is generated by creating the cloud database, the cloud database can continuously adapt to new term translation work by updating the system through the cloud database and continuously updating and improving so as to ensure the accuracy and timeliness of terms and keep the modernization of translation, and the term translation efficiency is improved by creating the user database. The translated text segments and terms are stored, and when the same terms or phrases appear again, a user can quickly retrieve and reuse previous translations, thereby improving efficiency.

This invention relates to the technical field of concealed pipeline mapping, and in particular to an auxiliary device for rapid three-dimensional coordinate positioning of concealed pipelines in installation projects. The invention includes a mother drone equipped with a probe and camera mounted on it. A marking nozzle is connected to the mother drone, and the marking nozzle is connected to and installed on a daughter drone. The mother drone connects the marking nozzle and the daughter drone via a flexible hose and power cable. The device uses a mother drone integrating a probe and camera, enabling multi-angle, omnidirectional spatial scanning and image acquisition of concealed pipelines. This achieves rapid and accurate three-dimensional coordinate positioning of the concealed pipelines, significantly improving the accuracy and reliability of the positioning. The mother drone connects the marking nozzle and the daughter drone via a flexible hose and power cable, enabling remote synchronous control. The daughter drone can flexibly move to the pipeline positioning point and automatically complete on-site marking, avoiding errors associated with traditional manual line drawing and improving the accuracy and consistency of the marking.

The present invention provides a fully automatic storage warehouse and a control method thereof, which relate to the field of automation technology and include a hardware system and a software system. The hardware system includes an intelligent transport robot and an environmental control module, and the software system includes a central control system, a path planning module, a task scheduling module, and a visual management module. The central control system controls the intelligent transport robot to execute access instructions according to an optimal path and a collaborative control strategy, and monitors the state and position information of the intelligent transport robot in real time, and dynamically adjusts task allocation and path planning. The central control system predicts and adjusts the optimal storage environmental parameters according to historical data and current status through an environmental parameter prediction model, and sends the environmental parameter instructions to the environmental control module.

The present invention discloses a reinforcement learning training method for a robot agent in complex scenarios. The method comprises constructing a reinforcement learning algorithm environment and a state transition model for a multi-agent system including complex scenarios such as obstacles, dynamic targets and environmental constraints, and adopting a reinforcement learning algorithm to construct an independent neural network for each robot agent. The vectors of the given state, timing information and historical state information of the agent are used as inputs of the state transition model, and the state transition probability and reward information of the predicted state are output. The action strategy and action value output by the neural network are executed in the state transition model to generate new predicted state and reward information. The hyperparameters of the neural network are adjusted, and the decision network and the evaluation network are collaboratively trained using a large-scale distributed training architecture to realize parallel learning and collaborative decision-making of multiple agents, thereby improving the performance and generalization ability of the agents in complex scenarios.

The utility model relates to the technical field of copper strip processing, in particular to a cutting mechanism with an anti-deviation function, which comprises a worktable, a cutting component is arranged on the rear side of the top of the worktable and comprises a fixed vertical plate, an air cylinder is arranged on the rear side of the fixed vertical plate, and the end of a movable rod of the air cylinder is fixedly connected with a movable seat. A mounting vertical plate is arranged at the bottom of the moving seat, a motor is arranged on the left side of the mounting vertical plate, an output shaft of the motor is coaxially connected with a cutter, a strip-shaped hole is formed in the top of the workbench, and width limiting assemblies are arranged at the positions, located on the left side and the right side of the strip-shaped hole, of the top of the workbench; auxiliary positioning assemblies are arranged on the top of the workbench and located on the outer sides of the two width limiting assemblies. According to the cutting mechanism with the anti-deviation function, the front side and the rear side of a copper strip are limited through a movable limiting plate and a fixed limiting plate in the width limiting assembly, a strip-shaped pressing plate of the auxiliary positioning assembly is matched to press the top of the copper strip, and it is ensured that the position of the copper strip is stable in the cutting process.

The invention provides an on-chip intelligent memory controller used in a heterogeneous computing system and a control method. The on-chip intelligent memory controller can receive instructions from the CPU and actively analyze and execute the instructions to carry out corresponding data processing and data transmission or configuration, so that instruction or data transmission or configuration operation originally needing to be executed between the CPU and other heterogeneous computing units is unloaded to the on-chip intelligent memory controller to be executed. And the workload of the CPU and the interaction frequency between the CPU and other heterogeneous computing units are reduced, so that the efficiency of cooperative work between the computing units in the heterogeneous computing system is improved.

The present application provides a multi-robot path planning method, control method, storage medium and electronic device. The method includes: obtaining multiple tasks to be executed, and determining at least the execution order of multiple tasks according to the safety index, urgency index, correlation index, data volume index and stability index of multiple tasks; constructing a digital twin model of the assembly unit; identifying dynamic obstacles and static obstacles in the environment where the assembly unit is located, and determining the first collision body type according to the distance between the dynamic obstacle and each robot arm, and determining the second collision body type according to the triangular face information of the static obstacle and its distance from each robot arm; establishing a dynamic obstacle model and a static obstacle model; determining the feasible motion path of each robot arm to perform multiple tasks in the execution order according to the execution order, the digital twin model, the dynamic obstacle model and the static obstacle model; determining the optimal motion path of each robot arm from multiple feasible motion paths.

The invention discloses a system integrating various devices to guarantee low-altitude flight safety and improve flight experience, the system comprises a CPU control processing system and a battery electrically connected with the CPU control processing system and used for supplying power to the CPU control processing system, the CPU control processing system comprises a subsystem and a high-performance multi-core CPU, the subsystem comprises a microwave annunciator, a flash device, a parachute triggering device, a gyroscope balancing device, an automatic alarm device, a satellite positioning device, an optical radar and a health monitoring device; according to the invention, various devices with different functions, such as the high-performance multi-core CPU, the microwave annunciator, the flash device, the parachute triggering device, the gyroscope balancing device, the automatic alarm device, the satellite positioning device, the optical radar and the health monitoring device, are integrated together, so that the complexity of the system is reduced, and the cooperative work efficiency among the devices is improved; and seamless joint among the functions is realized.

The utility model discloses a kind of gantry ring rail systems, it is related to bending equipment technical field, wherein, gantry ring rail system includes base, feeding conveying line, discharging conveying line, first gantry, annular track and first manipulator, feeding conveying line is installed in base;Discharging conveying line is installed in base;First gantry is set in base, and it is located above feeding conveying line and discharging conveying line;Annular track is installed in base, and it is located below feeding conveying line and discharging conveying line;Annular track is movably connected with multiple fixed jigs, and each fixed jig is used to fix the battery cell to be processed;First manipulator is movably connected with gantry, for transferring battery cell from feeding conveying line to the fixed jig on annular track, and transferring battery cell from the fixed jig on annular track to discharging conveying line.The utility model provides technical scheme, improves the integration of whole, reduce the volume of gantry ring rail system, improve the cooperative working efficiency between components.

The invention relates to the technical field of production and storage, in particular to a production and storage intelligent interaction management method, which comprises the following steps: S1, raw materials are put in storage; s2, machine tool feeding; s3, machining by a machine tool; and S4, finished product warehousing. S5, loading finished products; the production and storage intelligent interaction management method provided by the invention is high in automation degree, low in labor cost, high in efficiency, short in production and processing period and low in safety risk.

The invention belongs to the technical field of data processing, and particularly relates to a package design platform. The package design platform comprises a user access layer, a gateway layer deployed in a private network, a front-end resource layer, a back-end service layer and a database layer. According to the packaging design platform, interaction information between the access users and the platform is processed and simplified through the user access layer, the cooperative work efficiency between the access users of different roles is improved, and the cooperative work efficiency of the access users of different roles is improved through association control of the back-end service layer, the user access layer, the gateway layer, the front-end resource layer and the database layer. And a professional core drawing editing function of the extranet is called for use in the intranet, so that the design efficiency is improved while the safety of the design content is ensured.

The invention belongs to the technical field of calculation processing, and particularly relates to a disaster environment distributed cooperative sensing method based on multi-agent reinforcement learning, which comprises the following steps: acquiring an initial sequence of a disaster environment sensed by an agent, and performing discrete wavelet transform denoising and normalization processing to obtain a standardized state observation value; extracting agent space entropies, calculating perception difference degrees between the agent space entropies and neighborhood agents, and obtaining collaborative perception interaction gains through a collaborative perception interaction gain model; acquiring an environmental field change rate, and dynamically compensating an original action evaluation value output by the reinforcement learning network according to the environmental field change rate to obtain a corrected action evaluation value; and the sensing task saturation of the intelligent body is obtained, physical control vector mapping is completed based on the corrected action evaluation value and the sensing task saturation, the pulse width modulation duty ratio of the driving motor and the sampling frequency of the laser scanner are adjusted through the physical control vector, and dynamic adjustment of the sensing operation intensity is achieved.

This invention discloses a joint optimization method and apparatus for tandem quay crane loading considering carbon emissions. The method includes: constructing a three-layer coding structure comprising a container allocation layer, a container loading sequence layer, and a truck allocation layer; decoding the three-layer coding structure to generate an executable loading operation plan and calculate the loading operation completion time and total carbon emissions; employing a multi-objective evolutionary mechanism to perform a global search on the coding structure, achieving iterative population updates through crossover, mutation, non-dominated sorting, and reference point selection; performing local search for container allocation and iterative greedy optimization of truck scheduling on candidate plans, updating the non-dominated solution set based on Pareto dominance, and outputting the joint optimization results. This invention achieves synergistic optimization of loading efficiency and carbon emissions by unifying the modeling of container allocation, truck scheduling, and tandem quay crane collaborative operation decisions, solving the problems of insufficient synergy, low operational efficiency, and high carbon emissions caused by the separation of multiple decisions in existing loading operations.

The application discloses a kind of cup processing systems, longitudinal support frame is equipped with Y-axis guide rail, the first bearing plate and the second bearing plate are slidably equipped on the Y-axis guide rail, switch cover device is provided on the first bearing plate, for automatically opening and closing sample tube cover, pipette device is provided on the second bearing plate, for transferring sample in sample tube to reaction plate, equipment matrix front end is equipped with tray assembly by lifting mechanism, tray assembly is equipped with multiple layers of tray distributed along vertical direction, each layer of the tray is used for temporary storage sample holder, horizontal workbench is equipped with horizontal moving mechanism, for transferring sample holder on tray to the sample holder placement area, or sample holder on sample holder placement area is transferred to tray.The beneficial effects of the application are: it can significantly improve the cup processing efficiency of existing cup processing system.

The invention relates to the technical field of network construction, and discloses an intelligent sensor network construction and management method based on a swan gap system. Specifically, after network distribution and stabilization of each node are completed, the detection function of adjacent subnetworks can be started, and information of other different-frequency subnetwork nodes can be read according to a detection result through the distributed communication capability of the Gawan system. According to a preset merging rule, the node can judge whether a merging operation needs to be initiated or not, and transmits a merging message through a broadcast mechanism of the swan-gap system, so that the merging of the node and other pilot frequency sub-networks is realized. The process is recursively carried out until all pilot frequency subnets are effectively fused. According to the method, rapid identification and effective fusion of the pilot frequency sub-networks can be realized, the problem that the sub-networks in a traditional wireless Mesh network cannot be fused in a short time is solved, and the cooperative work efficiency of the network and the real-time performance of distribution network protection are remarkably improved.

The application is suitable for the technical field of dynamic path planning, and particularly relates to an industrial robot dynamic path planning learning method and system.The method comprises the following steps: S100: demarcating a working area of an industrial robot, selecting a deployment position of a plurality of marker lights in each industrial robot, setting the color of each marker light, and generating a combined code, wherein the combined code of each industrial robot is different; collecting video monitoring data containing all industrial robots by using a video monitoring device pre-deployed in the working area; according to a preset step, a plurality of snapshots are intercepted, and the position of the industrial robot is located through the combined code; and S200: grid division is performed on the working area, and a reference point is selected.The application can realize incremental planning of the industrial robot by defining a conflict line, can dynamically adjust the moving route, is convenient for quickly adapting to changes in obstacles, and greatly improves the obstacle avoidance efficiency of the industrial robot.

The invention relates to the technical field of motors, and discloses an integrated motor which comprises a motor shell, the bottom of the motor shell is provided with a wiring harness, one end of the motor shell is sleeved with a motor rotor, the inner wall of the motor shell is sleeved with a motor stator, and an output shaft is arranged in the motor stator. The output shaft is rotationally sleeved with a rotating bearing, the output shaft is provided with a motor rotor, and the output shaft is sleeved with a correction assembly. A mounting assembly is arranged on the motor shell; the correction assembly is used for reducing the shaking amplitude of the motor in use; the mounting assembly is used for improving the mounting speed of the motor shell and the use stability. Compared with the prior art, through the integrated design, the space layout is optimized, the overall working performance of the motor is improved, the service life of the motor is prolonged, and efficient and reliable operation of the motor under various working conditions is ensured.

The present invention discloses a production-research collaboration system and application method, and relates to the field of production-research collaboration management. The system includes several container applications, each of which is configured with a pluggable micro-frontend application associated with an IT research and development project; wherein the container application includes at least: a collaboration management module, which is used to isolate the data of the IT research and development project, and is also used to associate users with IT research and development projects so that the corresponding users have operation permissions; a log aggregation module, which is used to collect the first log information of the IT research and development project, and display the first log information to users with operation permissions; a deployment management module, which is used to generate deployment configuration information in response to an editing request from a user with operation permissions for the IT research and development project. Compared with the prior art, the present invention can meet the personalized needs of different IT research and development projects, improve the efficiency of collaborative work, and reduce the difficulty of subsequent deployment and maintenance, and is particularly suitable for large-scale project group collaboration scenarios.

The present invention belongs to the field of building information model information technology, and in particular, relates to a BIM-based tunnel engineering safety risk monitoring system and method. The on-site monitoring module of the system is arranged in the monitoring area of ​​the tunnel construction site, and is used to monitor the mechanical performance data of the support system and the surrounding rock stability state data of the monitoring points in the current monitoring area; and transmit the data to the data server; through the risk assessment model, the risk assessment results of the monitoring points in the monitoring area are determined and transmitted to the database; a three-dimensional BIM monitoring model is created and converted into an IFC monitoring model, and the IFC monitoring information of the IFC monitoring model is expanded, and the expanded IFC monitoring model is obtained and loaded using a visual early warning platform; the IFC monitoring model of the present invention is used as an interactive standard for BIM monitoring model data, and the IFC attribute set of the monitoring model is written to improve the use efficiency of the monitoring information, and the amount of information carried by the model is expanded to meet the requirements of visual monitoring, so as to realize real-time dynamic safety early warning of tunnel engineering.

This application discloses a collaborative operation control method and device for ship unloaders, relating to the field of port ship unloading technology. The method includes acquiring ship unloader position data collected by a positioning component, ship tilt data collected by an attitude sensing component, and complete point cloud data preprocessed by an edge computing module. The original point cloud data corresponding to the complete point cloud data is obtained by scanning the material pile inside the hold using a lidar component. After identifying the hatch spatial coordinates using a target detection algorithm on the complete point cloud data, the hold point cloud and the material pile point cloud are segmented based on the hatch spatial coordinates. The material pile point cloud is then reconstructed in three dimensions to generate a triangular mesh model. Based on the material pile distribution density obtained from the triangular mesh model, different operating areas are divided. Combining the ship unloader position data and the ship tilt data optimized by Kalman filtering, a multi-dimensional anti-collision strategy is established, and the operating areas of each ship unloader are dynamically adjusted to effectively prevent collisions and significantly improve collaborative operation efficiency.

This utility model provides a multifunctional integrated desktop device, relating to the field of computer equipment expansion technology. The multifunctional integrated desktop device includes a device housing and a circuit board disposed within the device housing; an external power interface and multiple external function interfaces disposed on the device housing and electrically connected to the circuit board; the circuit board integrates a power management circuit, a data exchange and distribution circuit, an audio processing amplifier circuit, and functional circuits; the input terminal of the power management circuit is connected to the external power interface, and the output terminal of the power management circuit is used to supply power to the data exchange and distribution circuit, the audio processing amplifier circuit, and the functional circuits; the data terminal of the data exchange and distribution circuit is connected to the external function interfaces; the signal input terminal of the audio processing amplifier circuit is connected to the audio data output terminal of the data exchange and distribution circuit, and the amplification output terminal of the audio processing amplifier circuit is used to connect to a speaker.

The present application discloses a method and apparatus for multi-device collaborative work, wherein the method includes: the collaborative control device of the collaborative group monitors the application operation and resource usage status of each member device in the group in real time; all devices in the group are in the same local area network; when the first member device needs to start the application operation, the collaborative control device determines whether the operation requires device collaboration, and if so, determines the hardware that needs collaboration based on the resource usage status of the first member device; the collaborative control device matches the hardware that needs collaboration based on the resource usage status of the member devices in the group with the second member device for providing corresponding collaboration; using the virtual bus simulated by the communication link of the local area network, the collaborative request instruction and the operation instruction and data set required for executing the corresponding collaboration are sent to the second member device to trigger the second member device to perform the corresponding collaborative operation. By adopting the present application, many-to-many device collaboration can be realized, and the efficiency of collaborative work can be effectively improved.