9 results about "Mobile collaboration" patented technology

The invention discloses a mobile collaboration platform data management method, and relates to the technical field of data processing, and the management method comprises the following specific steps: S100, data sensitive grading: calculating sensitivity scores of various types of data in a mobile collaboration platform by using a formula. According to the method, the sensitivity scores of various data are calculated through a formula, and the data are divided according to the sensitivity levels, so that different levels of protection measures are taken for the data with different sensitivity degrees, and meanwhile, through a built-in sensor and a built-in behavior monitoring module, the sensitivity of the data is improved. The operation behavior information, the equipment information and the business process information of the user are collected in real time, the current business scene is intelligently judged, a basis is provided for subsequent privacy protection strategy making, the data processing efficiency is improved, the data security is greatly enhanced, and data leakage and abuse are effectively prevented.

The application discloses a mobile collaborative robot with a stability maintaining function, and relates to the technical field of robots.The mobile collaborative robot comprises a mobile arm, wherein the mobile arm is arranged on a stability maintaining part, the stability maintaining part is arranged on a moving part, the moving part is provided with a moving wheel, and the stability maintaining part is provided with an inspection opening.The stability maintaining part is arranged between the mobile arm and the moving part, the unstable state of the moving wheel when passing through an uneven road is filtered through the stability maintaining part, the posture information of the stability maintaining part is collected to control the corresponding movement of the mobile arm, the influence of the road on the mobile arm is reduced, and the problem that the instability of the mobile collaborative robot is transmitted to the collaborative mechanical arm when the mobile collaborative robot passes through an uneven road due to the rigid connection between the mobile collaborative robot and the collaborative mechanical arm, thereby affecting the stability of the collaborative mechanical arm is solved.

The invention relates to the technical field of electric power system management, and discloses an electric power disaster intelligent decision-making and mobile cooperation system and device based on multi-source data fusion, and a storage medium. The system comprises a rule management module, an intelligent decision-making module and a mobile cooperation module. The rule management module is configured with a multi-disaster dynamic rule base supporting icing, forest fire and flood prevention and is associated with a sensor threshold value and a disposal strategy. The intelligent decision-making module accesses sensor data streams such as weather, icing thickness and water level in real time, and generates a disposal work order through a rule engine matching rule; and the mobile cooperation module pushes the work order to the terminal, integrates a geographic information visual interface, receives an on-site processing image and progress feedback, and realizes closed-loop tracking of the work order state. According to the system, high-concurrency data is processed by adopting a distributed architecture, data security is guaranteed in combination with role permission control, the problems that traditional disaster response is lagged, disposal is fragmented and the collaboration efficiency is low are solved, and whole-process mobile collaboration management of disaster sensing, decision making, execution and verification is achieved.

The utility model discloses a kind of flexible mobile collaborative robot welding systems, including mobile trolley, welding control unit, wire feeder and robot welding tool, mobile trolley has bearing frame;Welding control unit is installed on mobile trolley, wire feeder is detachably fixed on the bearing frame, and by welding control unit control operation, robot welding tool is controlled by welding control unit to operate, it includes the multi-axis robot of installation on the mobile trolley or welding control unit and the welding assembly of detachable installation in multi-axis robot end, robot, welding machine, wire feeder integrated in mobile platform in the utility model, robot and wire feeder can be quickly handled installation to work position, without fixed station, adapt to large workpiece sectional welding and multi-station switching, improve equipment utilization.

The invention discloses a compound AGV system of a chemical platform. The compound AGV system comprises an AGV, an electric control cabinet, a collaborative robot and a control system. The AGV trolley comprises a mobile chassis, a power supply module, a sensor module and an AGV control module, the sensor module integrates a laser radar and an IMU, and the AGV control module is responsible for processing sensor data and controlling movement. The collaborative robot is provided with a multi-axis mechanical arm, an end effector and a robot control module, and the end effector is provided with a 2D camera used for operating object positioning calibration. The electric control cabinet accommodates components of the control system, the system comprises a central controller, a human-computer interaction interface and a communication module, and the central controller is connected with the AGV and the collaborative robot through the communication module, receives experiment instructions and coordinates the AGV and the collaborative robot to act. Full-process automation of chemical experiments is achieved, and personnel safety is guaranteed; accurate operation and environmental adaptability are ensured; the system has adaptive and cooperative capabilities, so that efficiency is improved, manpower is reduced, and intelligent management is realized.

The invention relates to the technical field of data synchronization, and discloses a mobile collaboration platform data synchronization method, which comprises the following steps of: 1, establishing a data category set, and distinguishing categories of data through the data category set; 2, classifying and concluding the original data according to the data category set, and forming an arrangement data set; step 3, carrying out data category grade division on the data category set; step 4, setting ports for the data category set after category grade division; and step 5, storing the synchronized data. The data are classified and sorted, the data structure is optimized, so that the data are more reasonable and orderly, the possibility of data damage is reduced, the data are divided into general, important and core levels, the highest-level security measures are implemented on the core data, the risk that the core data are leaked and tampered can be greatly reduced, the confidentiality of the data is enhanced from the source, and the security of the data is improved. The defects of a traditional synchronization mode in safety protection are overcome, and the storage and retrieval efficiency is greatly improved.

This invention provides a robot mobile collaboration system comprising: a receiving module for receiving work instructions input from a terminal; a parsing module for parsing the work instructions to obtain the instruction purpose, selecting corresponding functions and a corresponding number of execution robots according to the instruction purpose; a building module for building execution steps corresponding to each execution robot according to the instruction purpose and building an execution plan; and an execution module for controlling the execution robots to work according to the execution plan. This system can automatically parse the work instructions input from the terminal and then control the corresponding execution robots to work according to the instructions, realizing autonomous robot operation and reducing labor costs.

This invention relates to the field of neuro-bionic algorithm technology, specifically disclosing a lightweight bionic intelligent decision-making system and method based on the neural replication of a fruit fly brain. The system includes a fruit fly brain bionic decision-making module, a large-model inference unit based on DeepSeek, an instruction parsing module, and a hardware communication interface compatible with Moying mobile collaborative robots. The fruit fly brain bionic decision-making module simulates the neural behavioral logic of a fruit fly, the large-model inference unit outputs real-time decision instructions, and the instruction parsing module converts the AI ​​output into executable actions for the robot. This invention constructs a bionic AI decision-making kernel that simulates the biological neural logic of a fruit fly, performs lightweight fine-tuning and optimization based on a DeepSeek large model, and achieves low-latency, highly adaptive autonomous control of the robot. It can directly interface with the hardware execution units of mobile collaborative robots from brands such as Moying, filling the technological gap in seamless integration of large models and industrial-grade mobile collaborative robots.

The application discloses a kind of production deployment system and method of robot matrix, comprising: construction module, for obtaining the equipment information of mobile collaborative robot, and constructing robot matrix according to equipment information;Internet connection docking module, for supporting and docking with the existing WMS / MES data system of warehouse and factory, actively responding to the dynamic adjustment of production appeal, generating deployment task according to the dynamic adjustment;Signal transceiver module, for supporting a variety of network protocol adaptation, and integrated by industrial equipment and rule engine module, task engine module;Rule engine module, for supporting internal and external data correlation in system, low-code visual self-defined rule mechanism logic;Task engine module, for executing deployment task, realizing dynamic allocation, dynamic switching and dynamic adjustment of robot matrix under the support of global optimal strategy.It realizes dynamic adjustment based on production appeal, generates deployment task, optimally adjusts robot matrix, and is convenient for improving production efficiency.