31results about How to "Real-time scheduling" patented technology

The present invention discloses a laser and vision-based hybrid location method for a mobile robot. The mobile robot comprises a laser radar and a vision sensor. According to the technical scheme of the invention, the weight of each particle at a predicted position is updated based on the collected data of the laser radar and the collected data of the vision sensor. After that, particles of higher weights are re-sampled, so that the real location distribution of the mobile robot at the moment t can be obtained. Compared with the prior art, the above technical scheme integrates the high accuracy of the laser radar with the information integrity of the vision sensor, thus being wider in application range. Meanwhile, the defect that the visual location is unstable is overcome. In addition, in one embodiment of the present invention, a conventional particle filtering sampling model is improved, so that the diversity of particles is ensured.

The embodiment of the invention provides a device information transmission method and a network device and relates to the field of communication. The device information transmission method and the network device can achieve the technical effect of real-time transmission of resource information of a current network device to a strategy control server so as to enable the strategy control server to perform real-time statistics, scheduling and management on resources of the network device. The scheme includes that the network device acquires device resource information of the device and sends a message to the strategy control server and the strategy control server performs resource statistics, scheduling and management on the network device according to the device resource information, wherein the message includes the device resource information. The device information transmission method and the network device are used for transmitting the device resource information.

The invention discloses an intelligent visit task allocation and personnel scheduling method and system for websites with certain geographical location characteristics. The intelligent visit task allocation and personnel scheduling method comprises the following steps: respectively extracting features of a physical business website and salesmen from basic data and real-time data of an enterprise information system decision module, and modeling historical data of visited websites of the salesmen; representing the connection between the salesman and the website by using a bipartite graph so as to form a visit plan network graph; planning an optimal visit route according to the information of the environment where the salesman is located; using a reinforcement learning method to assess earnings obtained by the allocation strategy according to a preset reward or punishment generated after the salesman executes a certain action, feeding back the earnings to the deep neural network model, repeatedly updating learning parameters, and determining an optimal task matching strategy; and in the actual visiting process, adopting a reinforcement learning method for calculation, iterating a taskexecution strategy optimization method and a visiting route optimization method continuously at the same time, and comprehensively obtaining a globally optimal visiting mode.

The invention provides an intelligent management and control system suitable for ship fire safety, and the system comprises: an application layer which provides an information visualization model on a unified digital platform through a plurality of visual monitoring modes and a multi-information interaction mode; a service layer which performs cloud computing and edge computing through an information visualization model provided by the application layer to achieve intelligent sensing, control and auxiliary decision making, and establishes various databases, prediction and simulation models; and an infrastructure which is accessed to the unified digital platform and transmits real-time data to the service layer for cloud computing or edge computing to judge the disaster probability and quantify the disaster scale. According to the system and method, traditional fire detection, video monitoring, equipment state monitoring and indoor positioning are fused, multiple intelligent sensing means are provided, disaster types such as fire and abnormal events are identified, basic data support is provided for disaster sensing and path planning, equipment operation and maintenance monitoring and disaster risk prediction are incorporated into ship fire safety management, faults and hidden dangers can be found at an early stage, and precautions are taken.

The invention discloses a comprehensive energy marketization transaction architecture and method based on a block chain. The blockchain technology is applied to the market transaction of each participant of the comprehensive energy. Based on the technical advantages of blockchain decentralization, openness, transparency, safety, credibility, information traceability, tamper resistance and the like, an equal credibility and information sharing marketization transaction architecture is established in the comprehensive energy system, and point-to-point energy transfer and transaction settlement of each participant are realized. According to the transaction architecture and method provided by the invention, an energy management mode from bottom to top can be formed in the comprehensive energysystem, and electricity, heat, cold and other energy supply and demand subjects can perform trusted transaction and scheduling without depending on a third party, thereby facilitating safe and stableoperation of the comprehensive energy system, improving the energy utilization efficiency and maximizing the benefits of each party.

The invention discloses an antenna ratio setting method and device, user equipment and a storage medium. According to a current operation state of a Bluetooth chip, a current operation state of a WiFi(Wireless Fidelity) chip, current Bluetooth equipment information connected with the Bluetooth chip and a current priority parameter, a corresponding current ratio parameter is determined; an antennaratio of the Bluetooth chip and the WiFi chip is set according to the current ratio parameter; the antenna ratio can be set according to actual requirements to be closer to a usage scenario of a user; a coexistence state of the Bluetooth chip and the WiFi chip is switched in real time.

The invention discloses an internet of things and SLAM technology-based intelligent medical supplies replenishing robot. Map positioning and composition are realized through a binocular camera and laser radar, and the medical supplies replenishing robot is scheduled in real time by a cloud data center according to the supplies using condition. Corresponding scheduling information is received by the supplies replenishing robot, and dynamic obstacle avoidance is realized through a route planning algorithm according to robot positioning and map information, so as to head for appointed floors to carry out supplies releasing.

The invention discloses a method and a system for controlling network connection. The method is characterized in that a server configures a corresponding IP address list based on the attribute of a user, one IP address list at least includes two IP addresses, and each IP address corresponds to one weight value; after receiving the network connection request of a client, the server searches one IPaddress list which is correspondingly configured through the attribute of the user, and returns the IP address list to the client; and after receiving the IP address list, the client sorts the weightvalues of an IP addresses in the IP address list from high to low, and successively tries to connect the IP address starting from the IP address with the highest weight value, if connection is successful, network communication is performed through the connection, and if the connection is unsuccessful, the client tries to connect the IP address with the lower weight value till that the connection is successful or all the IP addresses in the IP address list can not be connected. In the invention, the data updating efficiency of operation server can be increased and the fine control degree of a client network inlet is improved.

The invention discloses a security and protection system based on a cloud service, the Internet of Things and AR security and protection glasses, and the system is characterized in that the AR security and protection glasses are connected with a server, and can be worn by a policeman to obtain a video, and the video is transmitted to the server, can receive the alarm condition pushed by the serverand display the alarm condition to each policeman; each Internet of Things device is connected with the server, and can send the real-time position information of the criminal suspect using each Internet of Things device and the criminal suspect information to the server; the server can extract the basic information and characteristics of the criminal suspect after discriminating the alarm situation, search and locate the criminal suspect, and send the obtained information and location as the alarm situation to each AR security glasses; and the computer is connected with the server and can beused for inputting and associating related maintenance information. As the AR security glasses are used for obtaining the external video stream and are matched with the server to carry out face recognition, license plate recognition and video analysis, real-time early warning, position query, instruction issuing and cooperative work can be provided, multi-dimensional public security prevention and control are realized, and the working efficiency is improved.

The invention provides a one-key point scheduling system and method based on a police electronic map PGIS, solving the problem of all-weather real-time rapid video command of public security organs intransverse and longitudinal cross-level, cross-region, cross-department and cross-police modes. According to the invention, flattening of public security commanding and dispatching work is realized;point-to-point, point-to-multipoint and multi-point rapid command cooperation among public security organs at all levels is satisfied; and application requirements of longitudinal and transverse rapidcommand cooperation, case research and judgment, daily work deployment, business training and the like between departments and police classes are met, and powerful support is provided for targets ofscientific decision making, rapid response, accurate defense management and control and the like of public security organizations, and the capability of rapid response and emergency handling of the public security organizations is effectively improved.

The invention relates to an intelligent managing method of a water environment, which is used for realizing whole ship and vehicle intelligent scheduling of fishing, conveying and treating processes of blue-green algae. The intelligent managing method comprises the following steps of: after the blue-green algae is broken out, automatically scheduling a certain number of blue-green algae fishing ships to move to a break-out area to clean and fish the blue-green algae on the surface of a lake, simultaneously scheduling the blue-green algae conveying ships and conveying vehicles to convey the fished blue-green algae to a blue-green algae separation factory; and also scheduling algae mud conveying vehicles to convey algae mud after separation treatment to a resource reutilization base. According to the intelligent managing method of the water environment, disclosed by the invention, intelligent, real-time and low-cost ship and vehicle scheduling is realized by taking blue-green algae fishing time reduction, ship and vehicle response speed increasing and blue-green algae whole-range treatment reduction as purposes according to operation states and conveyance capabilities of each ship and each vehicle and operation states and treatment capabilities of the separation factory and the resource reutilization base.

The invention relates to the technical field of information, and discloses a dynamic placeholder grid model construction method and an application architecture design method thereof, and the method comprises the following steps: 1) constructing a real-time dynamic digital visual region grid block diagram model associated with region mapping of reality description according to an application scene; and (2) constructing a real-time dynamic digital visual grid placeholder structure diagram or a diagram block set which is mapped with a real moving or static entity and is associated with the regional grid block diagram based on a sensor system. According to the dynamic placeholder grid model construction method and the application architecture design method thereof, the problem that various types of information management systems in the prior art cannot well achieve digital and intelligent management such as real-time, efficient and accurate monitoring, searching, tracking, scheduling, early warning and the like on various types of vehicles, personnel and moving objects, and have the problems of difficulty in automatic monitoring management and weak performance and efficacy exist can be solved.

The invention provides a reservoir water and sediment prediction model training method and device, and a reservoir water and sediment prediction method and device. The method comprises the following steps: obtaining reservoir water inflow data; inputting the reservoir water inflow data into a pre-established mathematical model to obtain water and sediment data of a target area, wherein the mathematical model is established by using historical actual measurement data, the historical actual measurement data comprises water flow inflow data and on-way water and sediment data, the water flow inflow data is obtained through upstream water flow inflow observation stations, and the on-way water and sediment data are obtained through downstream observation stations; taking the reservoir water inflow data and the water and sediment data of the target area as training data, and training an initial neural network model through the training data to obtain a water and sediment prediction model of the target area. By implementing the method, water and sediment data of any target area can be quickly and timely predicted, and an important reference can be provided for real-time and fine scheduling of a reservoir.

The invention discloses a device for detecting the number of people on based pressure sources. The device includes a carrying platform, an installation plate, multiple pressure sensors and a processorused for analyzing signal transmission, the carrying platform is used for supporting multiple pressure sources, the multiple pressure sensors are laid on a surface of the installation plate; multiplesupport columns used for supporting the carrying platform are arranged on the surface of the installation plate; the processor is electrically connected to multiple sensors, and the processor is usedfor receiving, analyzing and processing information acquired by the multiple sensors. The device for detecting the number of people based pressure sources enables the pressure sensors arranged on thelower surface of the carrying platform to have a small amount of deformation through the pressure on the carrying platform, the pressure sensors then transmit the number of their received pressure sources to the processor, the processor analyzes, processes and calculates the transmitted information, and compares the transmitted information with two neighboring groups of data, and if an obtained result is in an error range, sends the processed data to a control terminal. The device realizes real-time detection for the number of people in a station and reasonable scheduling of school buses.

The invention discloses a navigation method of a general spacecraft. The method can provide a real-time dynamic aerial navigation chart layered in a stepped manner for the aircraft through multiple navigation monitoring systems which are arranged on the floor in a networking manner and cover a flight area and an on-board ip data transmission response radio station system arranged on the aircraft,so that flight personnel can master an own flight path in the sky and surrounding flight aerial states which are clear at a glance, and all flight personnel flying in different airspaces can learn about safe traces of own flights in real time; therefore, flyable, controllable and visible safe flight in general aviation is really realized; furthermore, black box data of the aircraft can fall onto the ground, so as to quickly learn about the truth in case of an air crash or abnormal accident.

The invention discloses an intelligent electric flat carriage control system and method. The system mainly comprises an upper computer, a wireless communication module, a carriage body, universal wheels, a controller, a power unit, an energy unit, a magnetic navigation sensor and an obstacle sensor. The intelligent electric flat carriage control system and the method have the advantages of real-time scheduling, intelligent control and high efficiency.

The invention relates to a robot and environment cooperative work system, the system comprises a robot layer, an environment equipment layer, an intelligent cloud layer and a robot application layer, the robot layer comprises a robot, and equipment and a terminal connected with the robot, and the robot layer is used for data acquisition, cloud communication and data transceiving; and the robot layer is used for fusing and uploading the collected data. According to the invention, real-time scheduling and network management of the robot can be conveniently carried out according to the specific application, and the communication security can be ensured.

The present invention provides a multi-functional bus card swiping system. The system includes a radio frequency recognition unit, a filtering processing unit, a single-chip microcomputer and a server, wherein the radio frequency recognition unit is used for recognizing an IC card, the filtering processing unit is used for performing repeated data filtering on card swiping person-time recognized by the radio frequency recognition unit, the single-chip microcomputer is used for automatically counting the card swiping person-time which has been subjected to the repeated data filtering, and the server is used for performing analysis and processing on data calculated by the single-chip microcomputer and sending a result to a client. According to the multi-functional bus card swiping system of the invention, a radio frequency identification technology and a single-chip microcomputer technology are combined, and therefore, not only is the single function of card swiping and fee charging realized, the number of passengers in a bus and remaining passenger seats in the bus can be also calculated by using the integrated single-chip microcomputer through card swiping of passengers who get on get off the bus, and the number of passengers in the bus can be monitored in real time, the risk of overloading can be lowered, decision-making support can be provided for bus stuff shift arrangement and real-time scheduling. The system has the advantages of low cost, high feasibility in implementation and high reliability, and is of practical significance for the alleviation of urban traffic pressure.

The present invention provides a reservoir water and sediment prediction model training, reservoir water and sediment prediction method and device, wherein, the reservoir water and sediment prediction model training method includes: obtaining inbound water flow data; inputting the inbound water flow data into a pre-established mathematical model, To obtain the water and sediment data in the target area, the mathematical model is established using historical measured data. The historical measured data includes water inflow data and water and sediment data along the way. Acquisition; the inbound water flow data and the water and sediment data in the target area are used as training data, and the initial neural network model is trained through the training data to obtain the water and sediment prediction model in the target area. By implementing the invention, the water and sand data of any target area can be quickly and timely predicted, and an important reference can be provided for real-time and fine scheduling of reservoirs.

The invention provides an elevator rescue system based on a cloud platform. The elevator rescue system comprises a data unit, an alarm receiving unit and a rescue units. The data unit is used for numbering elevators, and managing the information of elevators and rescuing units with the corresponding number. The alarm receiving unit is used for receiving the alarm signal, confirming the elevator number according to the alarm signal, and determining the corresponding rescue unit according to the elevator number. The rescue units are used for dispatching the rescue unit determined according to the alarm receiving unit. The elevator rescue system based on the cloud platform facilitates the emergency rescue of the elevators.

The invention discloses an intelligent traffic scheduling method, an intelligent traffic scheduling device and a scheduling center. According to the method, firstly, the driving direction and the driving path of a target vehicle can be determined according to an obtained navigation path information sequence corresponding to the target vehicle, and secondly, each piece of navigation path information in the navigation path information sequence is scheduled. Thus, the quantity of scheduled target driving path information can be known in real time, and on the basis, the traffic jam road section information of the target vehicle on a target path is determined during scheduling, so that lane changing preparation can be made in advance, and the target vehicle is prevented from driving to a jam road section; and meanwhile, lane changing path information can be quickly determined, and the target vehicle is scheduled in real time after the lane changing path information is determined, thus, thetarget vehicle can be accurately scheduled in real time under the condition that scheduling is not carried out by a worker, so that the working efficiency of scheduling is improved.

The invention provides a bus network passenger flow detection method and system based on fusion data. Based on real-time data such as IC card swiping records, third-party application card swiping records and bus real-time positions, static bus data such as bus numbers, bus routes, bus station GIS information and running time are combined, and the real-time passenger flow state of the bus network is monitored through comprehensive analysis. According to the method, the bus GPS module is used for recording the getting-on and getting-off positions of passengers in real time; uploading the boarding and alighting passenger flow record, the IC card swiping record and the third-party application card swiping record to a background data acquisition center in real time; and the background data processing center acquires real-time data from the background data acquisition center, performs data cleaning through the data screening module, and finally performs statistical processing on the cleaneddata to finally obtain a reasonable public transport passenger flow OD matrix so as to achieve the purpose of monitoring the real-time passenger flow of the current public transport network.

The present invention discloses a laser and vision-based hybrid location method for a mobile robot. The mobile robot comprises a laser radar and a vision sensor. According to the technical scheme of the invention, the weight of each particle at a predicted position is updated based on the collected data of the laser radar and the collected data of the vision sensor. After that, particles of higher weights are re-sampled, so that the real location distribution of the mobile robot at the moment t can be obtained. Compared with the prior art, the above technical scheme integrates the high accuracy of the laser radar with the information integrity of the vision sensor, thus being wider in application range. Meanwhile, the defect that the visual location is unstable is overcome. In addition, in one embodiment of the present invention, a conventional particle filtering sampling model is improved, so that the diversity of particles is ensured.