8results about How to "Collaborate efficiently" patented technology

The invention provides a large model interaction method and system based on multi-model collaborative dialogue, and relates to the technical field of artificial intelligence, and the method comprises the steps: dividing multi-modal data into a pixel block matrix and extracting feature vectors, constructing a hexagonal honeycomb-shaped coding matrix to store data information, and generating an attention score matrix by adopting a multi-head attention mechanism; constructing a model communication network based on the transmission data unit, and calculating a professional degree score through graph convolution; according to the method, performance data is collected to generate an evaluation graph, and an optimal node cooperation strategy is output in combination with dominant learning, so that the efficiency and accuracy of multi-model cooperation dialogue are improved, and the robustness and expandability of the system are enhanced.

The invention provides an ETL-based cross-network service system data ferrying method and system, a medium and electronic equipment, and the ferrying method comprises the steps: obtaining to-be-ferried data from a network A through employing an ETL technology at regular time, forming a data packet, and storing the data packet in a first path; using the security isolation gatekeeper, the data packet is transmitted to a second path of the network B. And in the network B, acquiring and analyzing the ferry data packet by using an ETL technology, writing data into a receiver system database, generating a feedback data packet according to an execution result (success or failure), and storing the feedback data packet in a third path. The feedback data packet is then transmitted back to a fourth path of the network A, and the ferry result is updated. And if successful, marking as ferry, and if failed, resetting as to-be-ferried and repeating the process. And if the process still fails after being repeated for multiple times, the ferry is marked as'ferry failure ', and ferry is not carried out any more. According to the method provided by the invention, the cross-network service system data can be quickly and accurately ferried, and the problem that the existing cross-network data ferrying efficiency is low is solved.

The invention discloses a power transmission and distribution network cooperative scheduling method considering wind power uncertainty and frequency modulation constraints. The method comprises the following steps: constructing frequency modulation security constraints by combining the frequency modulation response capabilities of a wind turbine generator, an energy storage system and a thermal power generating unit; acquiring operation data and unit parameters of the power transmission network and the power distribution network; respectively establishing an upper-layer power transmission network unit combination model and a lower-layer active power distribution network dispatching model containing frequency modulation security constraints; performing linearization processing on a nonlinear part in the model by using a second-order cone technology and a large M method; and taking the interconnecting line interaction power and the auxiliary frequency modulation power between the power transmission and distribution grids as coupling variables, and adopting a distributed optimization method based on a target cascade algorithm to realize parallel optimization solution of the transmission and distribution system. According to the method, the solving accuracy is ensured, the efficient linkage of a transmission and distribution network system in resource scheduling and frequency response is realized, and the frequency modulation pressure caused by large-scale wind power grid connection to a traditional thermal power generating unit is remarkably reduced.

The invention relates to the technical field of circuit breaker control, and discloses a high-voltage circuit breaker intelligent control system based on a positive and negative zero sequence control algorithm, and the system comprises a cascaded H-bridge static synchronous compensator which is in star connection, and each phase of the cascaded H-bridge static synchronous compensator is composed of a plurality of H-bridge units; the data acquisition module is used for acquiring voltage and current signals of the three-phase system in real time; the control module is used for operating a positive and negative zero sequence control algorithm and realizing voltage fluctuation optimization and unbalanced load compensation through independent control of three-sequence components; the communication module is used for data interaction between the control module and an upper computer; and the connecting inductor is used for connecting the static synchronous compensator and a power grid so as to reduce harmonic interference and provide necessary impedance. By independently controlling the positive sequence component, the negative sequence component and the zero sequence component, the technical effect of reducing the unbalance degree of the power grid is achieved, the problems of response lag and high unbalance degree under the condition of rapid load change in the traditional technology are solved, and the electric energy quality of the system is improved.

The present invention relates to the field of frequency converter test systems, and in particular to a universal frequency converter test system and method, comprising: a load simulator module, used for simulating a variety of power supply conditions and load types; a measuring module, used for recording parameters such as voltage, current, frequency and power during the operation of the frequency converter; a control and data acquisition module, including a central control unit and data acquisition hardware, used for controlling the test process and collecting data; a software platform, used for configuring test parameters, executing test programs, collecting and analyzing data, and generating reports; the output end of the load simulator module is connected to the input end of the frequency converter, used for simulating power supply conditions and load types, and directly affecting the working environment of the frequency converter; the input end of the measuring module is connected to the output end of the frequency converter, used for real-time recording parameters such as voltage, current, frequency and power during the operation of the frequency converter; the output end of the measuring module is connected to the input end of the control and data acquisition module, and provides test data.

The present invention relates to the field of artificial intelligence technology, and in particular to a deep Actor-Critic architecture system for multi-team post-disaster restorative maintenance decision-making. The architecture realizes iterative optimization of multi-team maintenance strategies by introducing a constrained Markov decision process (CMDP) and combining it with the AC-MCTS algorithm. Specifically, the system generates local damage and system status through a simulation environment, selects the optimal maintenance action through a restorative maintenance agent during the strategy iteration process, uses elasticity analysis to evaluate the effect of system recovery, and continuously adjusts the parameters of the Actor-Critic network to improve the decision-making efficiency of the strategy.

The application discloses a kind of collaborative power distribution network regulation systems and methods, including collaborative power distribution platform, the collaborative power distribution platform includes collaborative power unit, peak-shaving calculation unit, right and interest display unit and error analysis unit, and the application relates to power distribution control technical field.The collaborative power distribution network regulation system and method establish the classification mode of necessary power consumption and adjustable power consumption for user terminal, assist user terminal to classify household appliances, predict power consumption by predicting the power and use time length of appliances, and then simulate the peak-shaving of appliances in adjustable power consumption classification, realize the peak-shaving power consumption of user terminal, and show it to user terminal in the form of saving electricity charges, which is more intuitive, and promotes user terminal to carry out systematic peak-shaving power consumption, realizes the efficient cooperation of user terminal and power plant, provides protection for normal power consumption of user terminal, and achieves better peak clipping and valley filling standard.

The application provides an adaptive pathfinding method for unmanned aerial vehicle clusters, specifically including task initialization and environment perception, path planning based on bionic intelligence, multi-vehicle cooperation and dynamic adjustment. The method designs an information pheromone updating strategy with variation mechanism and dynamic obstacle avoidance capability, making the path search more adaptive and stable. At the communication level, a decentralized communication architecture is adopted between unmanned aerial vehicles, supplemented by a cloud synchronization mechanism, to realize real-time sharing of task information and efficient adjustment of path schemes. The pathfinding method is applicable to various practical scenarios, including post-disaster search and rescue, ecological environment monitoring, and large-area inspection, and has good scalability and robustness, effectively addressing the challenges brought by dynamic environments and task changes.