176 results about "Command center" patented technology

The invention discloses a dynamic task distribution system based on multi-source data fusion, belongs to the technical field of intelligent task scheduling, and aims to solve the problems of response delay and execution failure caused by undifferentiated rule verification, fuzzy resource matching logic and inaccurate real-time state evaluation in a traditional task distribution system. According to the system, a task request is obtained through a task receiving module, multiple indexes are converted through a data standardization processing module, a rule matching engine carries out multi-rule verification and outputs a matching degree score, a real-time capability evaluation module calculates a current capability value of an executor, and a dynamic decision module dynamically adjusts double weights according to a task emergency degree and generates a comprehensive score. And time, resource and skill conflicts are eliminated through the conflict detection unit, and finally the optimal executor is selected by the task allocation unit to issue the task. The system is suitable for various fields requiring efficient and accurate task allocation, such as grid command center order distribution, emergency response, logistics distribution, maintenance service and the like.

The invention discloses a safe operation system and a safe operation method of a space-ground integrated rescue vehicle, which are used for the rescue vehicle working in a complex disaster environment and ensure stable and reliable two-way communication connection between the rescue vehicle and a command center by establishing an intelligent switching mechanism of a low-orbit satellite main link and a ground network standby link. Real-time transmission of key instructions and field information is guaranteed, and a foundation is laid for safe operation. Advanced risk early warning is achieved through a space-ground cooperation mechanism, dynamic decision making and path planning are carried out by integrating satellite information and local sensor data, and the global adaptive capacity of the rescue vehicle to the complex disaster environment is improved. Satellite pre-sensing information is combined with a local decision, and a pre-control instruction is generated to act on a drive-by-wire chassis, so that the rescue vehicle can smoothly deal with hidden or developmental risks in advance, and the driving safety and stability are improved.

The invention discloses a photovoltaic panel ground cleaning control system and method based on an unmanned aerial vehicle, and relates to the technical field of unmanned aerial vehicle control, and the system comprises a cleaning unmanned aerial vehicle, a ground control center system, a command center system and corresponding functions. Through modular design and multi-system cooperation, intelligentization, high efficiency and precision of photovoltaic panel cleaning operation are achieved.

The invention discloses a self-optimizing intelligent work order scheduling method and system, belongs to the technical field of work order scheduling, and solves the problems that a traditional scheduling method is poor in dynamic adaptability due to static rules, single in optimization target and dependent on artificial experience, and a model cannot be self-optimized online. According to the technical scheme, the method comprises the steps that work order features and resource state data are collected in real time and input into a pre-trained deep reinforcement learning model to generate a scheduling scheme, a scheduling deviation value is calculated based on actual feedback data to trigger model iterative optimization, and dynamic updating of a scheduling strategy is achieved; the method is mainly used for work order automatic distribution and scheduling optimization in scenes such as a grid command center, a logistics distribution platform and a customer service center.

The invention provides a multi-dimensional perception-driven field large-scale scene intelligent detection method and system, and relates to the technical field of scene intelligent detection. According to the method, a closed-loop system covering multi-source sensing, edge preprocessing, three-dimensional space-time fusion inference, alarm linkage response and continuous model optimization is constructed. By arranging a compound eye imaging sensor, an inertia-GNSS sensor, a millimeter wave radar sensor and an electrical parameter and environment sensor on site, synchronous acquisition and transmission of multi-modal data are realized; and de-noising, standardization and calibration processing is carried out on edge nodes, and combined identification of a target state, an event category and a risk level is completed based on a deep fusion network. When a detection result meets a preset condition, alarm information is generated, and the command center, the wearable terminal and the execution mechanism are linked to respond in time; meanwhile, feedback is periodically collected and disposed, the model is driven to be self-updated, the detection accuracy and response adaptability are continuously improved, and the method is suitable for intelligent safety monitoring of complex operation scenes such as mines, electric power and ports.

The invention relates to the technical field of anti-riot vehicles, and discloses a police anti-riot command vehicle which comprises a vehicle chassis, a compartment body arranged on the vehicle chassis and a command communication system arranged in the compartment body, and further comprises an anti-riot net laying device integrated on the top of the compartment body and used for rapidly launching and unfolding an anti-riot net towards the outside of the vehicle; the emergency supporting wheel mechanism is arranged on the vehicle chassis, corresponds to vehicle tires installed on the side face of the vehicle chassis and is used for providing emergency supporting when the vehicle tires fail. The anti-riot net laying device comprises a launching cylinder, an anti-riot net contained in the launching cylinder and a driving mechanism providing power for launching of the anti-riot net, and the launching cylinder is arranged at the top of the compartment through a mounting base. Through an integrated anti-riot net laying device and a centralized control system, a non-fatal interception means and a command center are deeply fused, and seamless connection from situation awareness to rapid disposal is achieved.

The invention discloses a forest fire unmanned aerial vehicle video monitoring system and method. The system comprises a data acquisition unit arranged on an unmanned aerial vehicle and responsible for acquiring multi-source monitoring data and spatial attitude data of a target area; the data processing unit is arranged on a ground station and is used for receiving and processing the data and generating fused situation data containing the position and situation of the fire behavior through a fire behavior recognition algorithm; the dynamic path planning unit is used for automatically generating a cruising or path tracking instruction according to the fused situation data, the geographic information and the state of the unmanned aerial vehicle; and the command decision-making unit is arranged in a ground command center and is responsible for visualized display, spatial analysis and emergency command of the fire behavior and issuing a path instruction to the unmanned aerial vehicle for execution so as to realize a monitoring and disposal closed loop. According to the invention, multi-source data efficient processing, fire accurate identification, dynamic path planning and emergency command efficient linkage can be realized, the monitoring coverage range and the response speed are improved, the labor cost is reduced, and the fire loss is reduced.

The invention discloses a heterogeneous communication network queuing time delay violation probability prediction method based on a yoke theory. The method is suitable for an emergency scene emergency communication system cooperatively constructed by an unmanned aerial vehicle and a high-altitude platform. The method comprises the following steps: modeling links from an unmanned aerial vehicle to a high-altitude platform and from the high-altitude platform to a ground command center in a communication network into a two-hop heterogeneous queuing service system; secondly, modeling a dynamic evolution process of data arrival and channel service by adopting a Markov Monte Carlo method; and finally, constructing a multi-hop heterogeneous network joint arrival-service yoke process based on a yoke theory, and deducing a violation probability boundary expression of end-to-end queuing time delay. The invention provides a time delay violation probability prediction method in cooperative emergency rescue communication of an unmanned aerial vehicle and a high-altitude platform. The service reliability of a system under given time delay constraint is accurately quantified.

The invention discloses an ecological environment real-time monitoring method based on the Internet of Things technology, and the method comprises the steps: obtaining a monitoring strategy and task distribution data from a central command center through a layered command architecture, determining an intelligent equipment selection scheme, and obtaining optimal equipment configuration parameters. And deploying sensor network nodes, predicting a pollution diffusion trend by using the pollution diffusion model, and verifying and analyzing abnormal data. When the abnormal event feature exceeds a threshold value, an emergency response linkage process is triggered, and a dense monitoring mode is started. Equipment health state data is transmitted through an Internet of Things communication link, fault diagnosis and parameter adjustment are carried out, the transmission bandwidth is optimized, and adaptive speed limit control is realized. And finally, reconstructing a network topology structure through a network topology adaptive adjustment algorithm, and realizing real-time continuous coverage monitoring of the ecological environment. Through dynamic adjustment and intelligent optimization, the real-time performance, the accuracy and the system stability of environment monitoring are remarkably improved, and the method is suitable for complex and changeable environment monitoring scenes.

The application discloses a traffic management platform construction method and device and a traffic management method and system, acquires traffic basic data and carries out digital analysis to construct a traffic management semantic library, constructs a traffic management element periodic table from the semantic library, and the traffic management element periodic table is composed of various preset traffic management elements and traffic basic data corresponding to each type of traffic management element; the traffic management element is randomly combined to generate a corresponding traffic management scene library; the traffic management scenes in the traffic management scene library are randomly combined to generate a traffic management business library; and the traffic management platform for digital traffic management is constructed according to the traffic management semantic library, the traffic management element periodic table, the traffic management scene library and the traffic management business library, so that the programmable and calculable traffic management full chain can be realized, and templates and demonstrations can be provided for the construction of traffic management command centers in various places.

The invention discloses a mine emergency data relay transmission method based on LoRa and 4G fusion, and belongs to the technical field of mine communication. The method comprises the steps that a communication node monitors sensor data in real time, and when key emergency data is recognized, 4G signal strength is automatically detected; when the 4G signal strength is lower than a set threshold value, starting a LoRa multi-hop relay transmission mode, and selecting an optimal relay node through a dynamic relay node discovery and comprehensive preferential algorithm; the key data is transmitted to an exit node with 4G connection capability through a one-hop or multi-hop LoRa link, and is finally uploaded to a command center through a 4G network. According to the invention, through advantage complementation of LoRa and 4G, a hybrid communication network adaptive to a complex mine environment is constructed, and the technical problem of reliable transmission of key data in a communication blind area is effectively solved.

The invention discloses an unmanned aerial vehicle patrol and security monitoring linkage management method. According to the system, urban geographic information data and key monitoring area coordinates are acquired, hierarchical grid division is realized by using a quadtree spatial index algorithm, and a patrol task distribution basic data structure is established; solving an approximate optimal solution of the patrol path of the unmanned aerial vehicle by adopting an improved greedy strategy, and performing optimization adjustment according to technical parameters and weather conditions of the unmanned aerial vehicle; the unmanned aerial vehicle collects video data in real time through high-definition camera equipment in the patrol process, target detection is conducted through a deep learning model, and potential safety hazards such as personnel gathering and vehicle abnormity are recognized; detecting violent conflicts and illegal intrusion behaviors in combination with a time sequence analysis algorithm, and generating an abnormal event report; cooperative work of the unmanned aerial vehicle, the ground robot and the command center is realized; and a patrol scheme is dynamically adjusted according to meteorological conditions, and robot scheduling is optimized through energy consumption management.

The invention discloses a distributed seat system operation state and fault monitoring method, which is suitable for scenes such as a command center and an enterprise conference room, and is used for solving the problems that hidden faults are difficult to find, fault response is lagged and the system stability is insufficient due to lack of a node local display device, single fault prompting mechanism and limited monitoring dimension of the existing system. According to the method, a low-power-consumption touch screen is configured at each node to synchronously display equipment states and signals, and multi-protocol compatible decoding is combined with load balancing to schedule the signals; constructing a hierarchical fault prompt mechanism and linking the operation and maintenance mobile terminal; an operation and maintenance management platform is built, multi-dimensional monitoring of equipment, links, machine room environment and power utilization is achieved, and edge calculation decoding, signal timing switching and equipment fault prediction are also supported. The method can improve the fault positioning efficiency, enhance the system operation stability, shorten the fault response time, realize full-scene management and control, and guarantee the continuous development of key businesses.

The application discloses an intelligent road system for vehicle-road cooperation safety warning and relates to the technical field of vehicle-road cooperation warning, and comprises a communication evaluation module, an optimal communication path is input into a communication mapping model, a space matching layer is used for fusing road geometry and communication topology, a state mapping layer is used for marking signal strength and stud node state, and a communication quality heat map is generated; a risk decision module is used for evaluating the risk level of each region based on the communication quality heat map and outputting priority transmission parameters; and an information transmission module is used for starting an audible and visual alarm according to the priority transmission parameters, acquiring an execution state report, and feeding back the execution state report to a command center. Through the construction of the communication mapping model and the dynamic generation of the priority transmission parameters, the application improves the precision of communication state evaluation, realizes efficient cooperative processing of multi-source alarm information and intelligent allocation of priorities.

A system for inspecting an offshore wind farm having one or more wind turbines includes an unmanned autonomous vessel. The unmanned autonomous vessel includes a positioning module for navigating the unmanned autonomous vessel to a target wind turbine in the offshore wind farm and positioning the unmanned autonomous vessel near the target wind turbine, an onboard data acquisition module with one or more sensors for collecting local data regarding the health of the target wind turbine, and a controller with at least one processor. The processor is configured to perform a number of operations, including, for example, receiving the local data from the one or more sensors and forwarding the local data to a remote command center via a satellite communication link.

The application provides an AI algorithm-based big data system operation monitoring method and device, and relates to the technical field of communication monitoring. The method comprises the following steps: firstly, collecting real-time position data and performance data of a fixed command center and a plurality of mobile terminals; then, controlling a phased array antenna to scan and receive a return signal based on the real-time position data, so as to generate electromagnetic environment information; next, inputting the information into a generative adversarial network to generate abnormal area information; then, inputting the abnormal area information and the performance data into a graph neural network based on an AI algorithm to construct a correlation graph and calculate the correlation degree between the abnormal area information and the performance data; finally, determining a target area and a correlation node affecting communication according to the correlation degree, and generating an operation monitoring result of the system. The application improves the positioning accuracy and prediction ability of the problem of regional communication performance degradation caused by specific electromagnetic interference in the emergency command big data system.

1. The name of the design product: console (Dawei-2025). 2. The use of the design product: command center, control center, dispatch center for placing control equipment operation control platform. 3. The design points of the design product: the combination of shape and pattern. 4. The picture or photo that best indicates the design points: perspective view 1. 5. The bottom of the design product is not easy to see or not visible during use, omit the top view.

The invention discloses an intelligent fusing method and system for a micro-service architecture. The method comprises the steps that a user sends a service request to a high-availability cluster through a client, a command center converts the request into a specific instruction and sends the specific instruction to an information collection center, and then the specific instruction is processed by a service module. A processing result is fed back to the command center, whether abnormity occurs or not is judged according to the result, and corresponding fusing logic is executed. According to the method, the application performance and the user experience under the micro-service architecture are effectively improved by monitoring the service calling stability in real time, optimizing the resource allocation and enhancing the expandability and the flexibility of the system.

The application relates to the technical field of riot control vehicles, and discloses a police riot control command vehicle, which comprises a vehicle chassis, a compartment arranged on the vehicle chassis and a command communication system arranged in the compartment, and further comprises: a riot control net laying device integrated on the top of the compartment and used for rapidly launching and unfolding a riot control net outside the vehicle; and an emergency support wheel mechanism arranged on the vehicle chassis and corresponding to vehicle tires mounted on the side of the vehicle chassis and used for providing emergency support when the vehicle tires are out of service. The riot control net laying device comprises a launching cylinder, a riot control net accommodated in the launching cylinder and a driving mechanism for providing power for launching the riot control net, and the launching cylinder is arranged on the top of the compartment through a mounting seat. Through the integrated riot control net laying device and the centralized control system, the non-lethal interception means and the command center are deeply integrated, and seamless connection from situation awareness to rapid disposal is realized.

The invention discloses an end-cloud cooperation method based on a semantic communication protocol and an underwater body-equipped intelligent operation command system, and the method comprises the steps: a vision-language-action cloud command center carries out the reasoning of a task instruction, converts the task instruction into an action primitive sequence, and issues the action primitive sequence to an underwater body-equipped intelligent terminal; the underwater body intelligent terminal receives the action primitive sequence and maps and calls a corresponding control strategy from a local atomic skill library to drive action execution; sensing data are collected in real time in the action process, and different circulation logics are triggered according to whether the data confidence degree meets an effective threshold value or not; and monitoring the risk index at any moment in the above steps, triggering an interruption mechanism when the risk index exceeds a safety critical threshold, suspending the current task, and autonomously calling an emergency skill to avoid. The system has extremely high system universality and layered architecture efficiency optimization, the physical limit of underwater bandwidth is broken through, and low-bandwidth high-frequency intelligent interaction is realized.

The invention discloses a park security multi-target path planning system and method, and belongs to the technical field of security, and the park security multi-target path planning system comprises a data layer, an algorithm layer and an application layer. The data layer constructs a park security space-time database and realizes multi-dimensional data fusion, and provides data support for security scheduling and risk assessment. The dynamic action range model of the algorithm layer can accurately determine the action range of the patrol route of the security and protection personnel and identify key points, warning areas and blind areas; a multi-target path optimization engine integrates the coverage degree, the time efficiency and the personnel fatigue degree to construct a three-dimensional dynamic optimization model, and patrol path dynamic adjustment is achieved by means of an improved NSGA-III algorithm. The application layer provides a six-dimensional analysis grid layer, and assists a command center and security patrol personnel in making decisions.

The utility model relates to a power utilization acquisition system of a mine power supply and distribution system, which comprises a plurality of data terminals, the data terminals are connected with a serial server through 485 lines, the serial server is connected with looped network switches through network cables, and the looped network switches are sequentially connected according to geographic positions of substations to form a looped network structure. The core switch is arranged in a ground central machine room and is connected with the looped network switch through an optical cable; the core switch is also connected with a command center through a wireless signal; comprehensive protection systems of a main power distribution station and all substations are connected with the core switch through network cables, alarm signals of the comprehensive protection systems are uploaded to the industrial personal computer through the core switch and the network cables, and control signals of the industrial personal computer are returned and transmitted along the same path, so that the collection work of power utilization data is greatly facilitated, and the feedback frequency of the data is increased; the abnormal condition reporting speed is high, and the feedback time is short; remote local control is realized, and emergency power-off risk avoiding can be remotely controlled.

The invention provides a low-altitude security detection countering law enforcement networking cooperation method and system, and relates to the technical field of low-altitude security management, and the system comprises an initial positioning module, a cooperative network generation module, a processing instruction execution module and a law enforcement execution module. The method comprises the following steps: determining initial positioning information of a threat target through a command center according to initial detection data collected by fixed and mobile detection points; screening nearby cooperative nodes based on the initial positioning information, and dynamically generating a local cooperative processing network; according to the real-time state data and the dynamic positioning information, a differential processing instruction is issued to a specific node to execute collaborative evidence obtaining, countering or tracking actions; assigning an optimal law enforcement terminal to execute a law enforcement action according to the processing result data; according to the invention, rapid discovery, accurate positioning, co-processing and normative law enforcement of the low-altitude threat target are realized, and the response speed, the processing precision and the law enforcement reliability of low-altitude safety management and control are effectively improved.

Provided is a surveillance system, including: a trailer having wheels, a mast, and a trailer towing coupler; a camera coupled to the mast; a cellular modem communicatively coupled to the camera and operative to transmit video captured by the camera; a command center server operative to remotely receive and store data describing operation of a fluid-handling device and to receive the transmitted video and send the video to a user in response to a request from a web browser of the user; a power storage device; and a solar panel coupled to the power storage device such that the solar panel charges the power storage device.

An electric power spot transaction decision support system based on multi-dimensional market analysis relates to the field of electric power spot transaction, and comprises a display layer which supports complex interaction through a Web end, large-screen cockpit command center monitoring and small program mobile end access, and realizes interaction result multi-terminal output. The application layer is communicated with the display layer, comprises a market analysis module and is used for processing multi-dimensional external market data to generate standardized background data; a user side load prediction module generates a user load day-ahead prediction result through an ARIMAX model based on historical power consumption and external factors, predicts monthly power by combining multiple linear regression and other models, and dynamically allocates weights by adopting an error reciprocal normalization method; and the day-ahead price prediction module cleans and preprocesses data such as historical electricity prices, and outputs a result through multi-model price comparison evaluation. The bottom layer is integrated with a scheduling management system through a data interaction interface, is in butt joint with a power grid operation environment and supports efficient decision-making of energy business.

This invention discloses an emergency communication method and system for law enforcement recorders, relating to the field of communication networking technology. The method includes: when multiple law enforcement recorders enter each other's short-range communication range, they authenticate each other via a wireless ad hoc network protocol to form a dynamic collaborative communication group; a master sensing node continuously captures environmental video streams, obtains dynamic risk entropy values ​​and alarm data through image recognition, encapsulates them into emergency data packets, and sends them to a master relay node; the master relay node transmits the emergency data packets to the command center; when the performance status of the master sensing node or master relay node is detected to be deteriorating, a dynamic election process is triggered to re-elect the corresponding node. This invention dynamically elects the optimal master node through a lightweight distributed consensus algorithm based on real-time resource state vectors, achieving adaptive node switching and ensuring the continuous and stable operation of the emergency data acquisition and transmission link.

The invention relates to a shaft rescue multi-mode converged communication system and method. The method comprises the following steps: collecting multi-modal data of a shaft rescue site; preprocessing the multi-modal data to obtain the preprocessed multi-modal data; performing feature extraction on the preprocessed multi-modal data to obtain multi-modal feature data; carrying out attention mechanism weighted fusion on the multi-modal feature data to generate fused multi-modal feature data; entropy coding compression processing is carried out on the fused multi-modal feature data to obtain compressed multi-modal feature data; and encoding the compressed multi-modal feature data to obtain encoded multi-modal feature data, and transmitting the encoded multi-modal feature data to a ground command center. And the ground command center analyzes the data and outputs a trapped person state, environment risk assessment and a rescue strategy. By adopting the method, stable and efficient multi-information transmission can be realized, support is provided for rescue decision, and the rescue efficiency and success rate are improved.

The application provides a multi-target connected unmanned relay control method and device based on reinforcement learning, which is aimed at an emergency communication scene containing a command center, a relay unmanned aerial vehicle and multiple mobile task nodes, utilizes an attention mechanism to aggregate features of variable-length multi-node observation data, processes a historical state sequence by introducing a memory-enhanced deep reinforcement learning model, extracts a belief state and outputs a flight acceleration instruction of the relay unmanned aerial vehicle, simultaneously constructs a multi-target reward function containing communication quality and flight energy consumption, dynamically adjusts weights by using an adaptive balance factor based on real-time signal strength, and performs model training in combination with signal offset exploration and a priority sequence experience playback mechanism. The application solves the technical problems of poor generalization ability, easy falling into local optimization and difficulty in dynamically balancing each optimization target of existing methods when facing dynamic changes in the number of task nodes, partial observability of the environment and multi-target conflicts of communication and energy consumption.

The invention provides a big data system operation monitoring method and device based on an AI algorithm, and relates to the technical field of communication monitoring, and the method comprises the steps: firstly collecting the real-time position data and performance data of a fixed command center and a plurality of mobile terminals; then controlling a phased-array antenna to scan and receive an echo signal based on the real-time position data so as to generate electromagnetic environment information; inputting the information into a generative adversarial network to generate abnormal region information; then inputting the abnormal region information and the performance data into a graph neural network based on an AI algorithm, constructing an incidence relation graph, and calculating the correlation degree between the abnormal region information and the performance data; and finally, determining a target area and associated nodes influencing communication according to the association degree, and generating an operation monitoring result of the system. According to the invention, the positioning accuracy and prediction capability of the regional communication performance degradation problem caused by specific electromagnetic interference in the emergency command big data system are improved.