136results about How to "Achieve autonomy" patented technology

The invention relates to a somatosensory interactive broadcasting guide system and method based on free viewpoints. The system comprises a server side, a video transmission network and a client side, wherein, the server side comprises a multi-camera system, a video processing server and a streaming media server which are used for completing multi-channel video capture, panoramic video synthesis, H.264 encoding and RTSP (real time streaming protocol) streaming media service; the video transmission network is a local area network (LAN) or wide area network (WAN) based on a TCP / IP (transmission control protocol / Internet protocol); and the client side comprises a free viewpoint playing terminal and a somatosensory sensor, wherein, the free viewpoint playing terminal comprises functional modules which are used for completing video streaming media receiving and decoding, gesture recognition based on a somatosensory controller, free viewpoint generation and other tasks. The somatosensory interactive broadcasting guide system and method have the beneficial effects that by combining multi-channel video into panoramic video, software and hardware investment and technical cost can be saved by directly utilizing the currently mature video coding and streaming media transmission technology, and meanwhile panoramic seamless roaming at 360 degrees and free viewpoint switchover can be really realized.

The invention provides an inspection system and an inspection method of a valve hall robot based on a video monitoring linkage system. The inspection system comprises a linkage analysis control host, a communication server and an auxiliary fixed point monitoring subsystem; an inspection robot comprises a robot terminal system; the robot terminal system comprised a track; a moving mechanism, a motion driving mechanism and a detection mechanism are arranged on the track; the inspection system and the inspection method have the advantage that real-time unmanned detection requirement of valve hall equipment is met; by coordinating inspection of the robot with a fixed point camera, the problems that the monitoring range is limited and the geographic position of substation equipment is not convenient for arrangement of monitoring points are solved; the problems that the abnormality cannot be autonomously identified as well as intelligent linkage security and protection, firefighting and online equipment management system are solved; fires are monitored by using a mixing mode of a visible light video and a thermal infrared imager, so the fires can be reduced; according to the inspection system and the inspection method provided by the invention, by adopting double detection of the visible light video and an infrared thermal video, the false alarm rate of fire alarms is reduced, and the processing efficiency of the fire alarms is improved.

The invention provides an IPv6 digital network lighting control system, which adopts an IPv6 network as a basic communication network. The system comprises a central server, a packet server, a management unit and a lighting control unit, wherein the central server centrally manages each lower sub-control management unit through an IPv6 network switch, and provides a uniform control management platform for a user; the packet server comprises an area unit which monitors each lighting node through a field bus based on IPv6, and a management unit which detects exceptional state of equipment and reflects the state to the central server; and the lighting control unit realizes monitoring and controlling to the lighting node through the lighting control sub-system. A similarly constructed IPv6 digital network lighting control system manages terminals in other types. As the IPv6 technology is supported, the system provides rich address space, has good expandability, and ensures high-speed connection among all equipments in the system with plug and play and good mobility, thereby ensuring that the system is very suitable for managing large-scale management and control.

The invention belongs to the technical field of big data, and particularly relates to a data opening and sharing-oriented data model and an operational system thereof. The data model of the inventionincludes: data boxes, which are basic composition units of providing open data for a data user, and include data description, data operation and data restriction of the data boxes and properties of the data boxes; Data leakage prevention and data right and interest protection mechanisms encapsulated in the data boxes, and set interfaces for being used by external software; and data box measurementand pricing, namely calculating the number and time of the data boxes, which are needed by the data user, and the like according to a requirement and an objective provided by the data user, and carrying out pricing. According to a data resource organization form of the invention, data independence, usability and controllability are improved, data autonomy is realized, a data owner can be enabledto ensure that scarcity of data thereof is not lost and privacy is not leaked while the data are opened, and data opening and sharing are effectively supported.

The invention relates to an Arduino based carrying robot with the image recognizing function. The Arduino based carrying robot with the image recognizing function has the technical characteristics of autonomously sensing and autonomously, and being small in size, low in cost, and simple in structure. According to the technical scheme, the Arduino based carrying robot with the image recognizing function is characterized by comprising a frame, a manipulator mounted on the top part of the frame, a visual sensor module mounted on the manipulator, a moving device mounted at the bottom part of the frame, a tracking device mounted at the bottom part of the frame, and an Arduino control system mounted on the frame, wherein the manipulator, the visual sensor module, the tracking and the moving device are electrically connected to the Arduino control system and are controlled by the Arduino control system.

The invention provides dynamic reconfiguration system and method of secondary equipment of intelligent substation. The system comprises a management host machine and universal equipment for receiving the control instruction of the management host machine. The method comprises the following steps of: (1) enabling the management host machine to obtain an SCD (Security Coding Device) model of the intelligent substation and analyze the CID model of the universal equipment; (2) monitoring the operation and stop of the universal equipment in an online manner, and displaying the equipment connection state; (3) subscribing for equipment state variable, calling self-checking service at regular time and estimating the operation state of the equipment in an online manner; and (4) when the equipment has a fault, controlling the restart or stop of the failed equipment as well as the operation of standby equipment. The dynamic reconfiguration system and method of the secondary equipment of intelligent substation not only can be used for sensing the operation state of the secondary equipment, but also meets the self-treating and self-healing requirement of the secondary equipment; overhauling can be completed immediately when the secondary equipment fails so as to recover the operation; and simultaneously, the universal equipment can be used for reducing the complexity of the system and improving the reliability of the system.

The invention belongs to the field of autonomous robot application, and specifically relates to an autonomous delivery takeaway robot, comprising a central control module, a path planning module, a motion control module, a communication module, an object recognition module and a storage box for holding takeaways, wherein the path planning module comprises a global path planning module, a local path planning module, an emergency obstacle avoidance module and a real-time environment modeling module. The autonomous delivery takeaway robot provided by the invention can realize autonomous takeawaydelivery, autonomous obstacle avoidance safely and efficiently, effectively solves the potential safety hazards existing in the manual delivery, reduces the operation cost of the takeaway industry, improves the delivery efficiency, improves the customer satisfaction, and can also realize twenty four-hour takeaway delivery service.

The invention provides a transformer station fire-fighting robot and an operating method thereof. The transformer station fire-fighting robot comprises a mobile chassis and a fire extinguishing mechanism; the fire extinguishing mechanism is arranged on the mobile chassis; the fire extinguishing mechanism comprises a dry powder spraying mechanism and a self-spraying mechanism; the dry powder spraying mechanism comprises a plurality of dry powder tanks; the outlets of the dry powder tanks are connected to a spray head through a pipeline; the spray head is arranged on a swiveling head; the swiveling head is arranged on the mobile chassis through a lifting mechanism to realize adjustability of dry powder spraying height and angle; the self-spraying mechanism comprises at least one water inletpipe; one end of the water inlet pipe is used for connecting with a fire fighting water spray head and the other end of the water inlet pipe is connected with a vertical pipe; a swiveling joint is arranged at the other end of the vertical pipe; and a spraying head is arranged on the swiveling joint.

The invention discloses an electric vehicle charging distributed system based on a block chain. The system comprises an electric vehicle, a P2P charging pile network based on a block chain architecture, and a power grid. The electric vehicle serves as a storage system and stores redundant electric quantity of the power grid. The charging pile network can realize real-time sharing of power demand information and real-time prices among power systems. Each charging pile in the network is used as an independent node, and the nodes obtain the demand information and the real-time discharging rewardprice from the power grid, schedule the corresponding electric vehicles to execute charging and discharging behaviors, generate corresponding transaction records according to the charging and discharging behaviors of the electric vehicles and write the transaction records into the block chain; and the power grid is a demand publisher in the system, sends the real-time demand information and the real-time discharge reward price to the charging pile network according to the state of the power grid, and adjusts the operation of the system of the power grid. According to the invention, the power system is developed towards a clean and efficient direction, and a good power ecological network is established.

The invention discloses a GIS (Geographic Information System) real estate valuation based data processing system and method. In the GIS real estate valuation based data processing system, a front-end data processing device is used for generating an alternative community list according to names of alternative communities and the basic information of the alternative communities and sending a selected alternative community list to a background server, wherein the names of the alternative communities are obtained from a spatial database and the basic information of the alternative communities is obtained from an application database; the background server is used for obtaining the real estate information of selected communities from the application database according to the selected alternative community list and sending the real estate information to the front-end data processing device; the front-end data processing device is also used for generating an alternative real estate list according to the real estate information of the selected communities and sending a sample real estate list to the background server; the background server is also used for performing valuation on a real estate to be valuated according to attribute data of the real estate to be valuated and attribute data of a sample real estate, wherein the attribute data of the real estate to be valuated and the attribute data of the sample real estate are obtained from the application database. According to the GIS real estate valuation based data processing system and method, a visual and objective sample set is provided for the users in a technical mode and accordingly real valuation results can be obtained.

The invention discloses a mobile application system based on microservitization. The system comprises a cloud platform server, a system core assembly and a user interaction terminal, the cloud platform server is in wireless bidirectional connection with the user interaction terminal through a wireless communication module, and the cloud platform server is in bidirectional connection with a business service unit and a quality management unit. The invention relates to technical field of mobile application system, by adopting a mobile application system based on microservitization, all core services of the whole mobile system can be split to serve as micro-services; each service has own processing and light weight communication mechanism; the system can be deployed on a single server or a plurality of servers, each business scene serves as an independent application to call a core service, modularization, loose coupling, autonomy and decentralization are achieved, each service can be independently deployed and run in one process, and the running and deployment mode can endow the system with a flexible code organization mode and a flexible release rhythm.

The invention discloses an obstacle crossing mechanism, an obstacle crossing intelligent inspection robot and a transformer substation obstacle crossing method for the obstacle crossing intelligent inspection robot. The obstacle crossing intelligent inspection robot is matched with four obstacle crossing arms with two obstacle crossing arms in the front and two obstacle crossing arms in the back,the two front obstacle crossing arms perform coordination work, and the two back obstacle crossing arms perform coordination work. During inspection on the normal ground, under the condition that theobstacle crossing intelligent inspection robot does not encounter an obstacle, plane walking is finished with a crawler mechanism, and the ordinary walking demand of the inspection robot is met. Afterthe obstacle crossing intelligent inspection robot encounters the obstacle, after an image of the obstacle is firstly collected with three-eye vision generally, the size, the volume and the height ofthe obstacle are acquired, collected information is transferred to a main control system through a sensor collection module, and the main control system judges which pose of the intelligent inspection robot crossing the obstacle. According to the conditions of different obstacles, the obstacle crossing intelligent inspection robot can finish autonomous obstacle crossing so as to thoroughly, reliably, rapidly and efficiently realize complete self government under the condition without human intervention.

The invention relates to an airborne target recognition model construction platform and an airborne target recognition method and equipment. The airborne target recognition model construction platformcomprises a storage server which is used for storing the actually measured data and the characteristic data to the corresponding classified training data sets; a training server which is used for inputting each sample of the classified training data sets to a deep learning network to perform characteristic training and generating the airborne target recognition model for the result of characteristic training when the generation instruction is received and reversely inputting the result of characteristic training to the deep learning network to perform characteristic training when receiving the back propagation instruction; and a recognition server which is used for performing recognition test on the result of characteristic training and performing statistics of the recognition rate for the recognition test result and transmitting the model generation instruction when the recognition rate is not less than the preset recognition reference value or transmitting the back propagation instruction. According to the scheme, the accuracy of airborne target recognition can be effectively enhanced.

The invention relates to a group animation motion control system and a group animation motion control method, which belong to the technical field of autonomous intelligent animation. The group animation motion control system comprises a scene partitioning module, a path planning module, a group control module, an individual control module, a collision processing module, a mathematical operation module, a system module and a rendering module. By the control method, a group movement control stage and an individual motion control stage are performed respectively, animators can integrally grasp the movement trend of groups in the production process, the computation efficiency of all individual motion components is improved, the efficiency of the motion control is improved, and a function of real-time interactive control is realized.

The invention discloses an anonymous revocation ring signature based on a public chain and a generation and revocation method of the anonymous revocation ring signature, relating to the technical field of network security, the ring signature comprises a self-proving-based ring signature generation module and an anonymous identity cancellation module; the self-proving-based ring signature generation module comprises a key generation unit, a self-proving generation unit, a self-proving verification unit and a parallelizable ring signature generation unit, and the anonymous identity revocation module comprises a revocation initialization unit, a revocation initiation unit, a revocation judgment unit and a revocation effectiveness judgment unit. According to the invention, a ring signature parallel computing method based on cloud computing, an anonymous voting method based on ring signatures and a threshold password strategy are comprehensively used to realize efficient generation of ringsignatures of users on a public chain, conditional revocation of anonymous identities and security, fairness and credibility of a revocation process, so that the network security is improved.

The invention provides an intelligent regulation and control system of a clean room. The system comprises an operation station, a communication interface controller, an intelligent control device, clean room operation equipment and clear room parameter collection equipment, wherein both of the clear room parameter collection equipment and the clean room operation equipment are in signal connection with the intelligent control device, and the intelligent control device is connected to the operation station through the communication interface controller. According to the intelligent regulation and control system of the clean room provided by the invention, the operation station can master the working state of the clean room operation equipment, realize remote start and stop and adjust the parameters of the clean room, thereby greatly perfecting and improving the system management level, manual layer-by-layer start, control, management and regulation of the clean room operation equipment are converted into automation, informatization, networking and intelligence, and the intelligent regulation and control system integrates remote automatic control, real-time monitoring, energy saving, consumption reduction and other human-based management service functions.

The invention relates to a multi-energy microgrid distributed scheduling method based on a potential game, which can give consideration to the benefits of different energy operators, can improve the decision autonomy of the energy operators, and can model the scheduling problem of a multi-energy microgrid system with electric energy, gas energy, G2P, P2G, energy storage and other devices into a game problem among subnets. A multi-energy microgrid scheduling model based on a potential game is established, and a potential function is constructed; and according to the method, the autonomy and economy of each subnet in the multi-energy microgrid are effectively improved, the method better conforms to the actual situation, and the introduction of G2P and P2G in the model can effectively improvethe overall economy of the system. The invention aims to solve the problems of information complexity and asymmetry existing in multi-energy microgrid scheduling, realize the autonomy of decision making of each energy subnet operator, and provide a solution for a manager of the multi-energy microgrid to search for an optimal strategy of multi-energy distributed scheduling.

The invention relates to the technical field of book management, in particular to an automatic book management robot and an automatic book management system. The auomatic book management robot comprises a base, a temporary storage bookshelf, a manipulator and an advancing system, wherein the temporary storage bookshelf and the manipulator are installed on the base, and the advancing system is arranged at the bottom of the base. According to the automatic book management robot, automatic book taking can be realized through the manipulator, and then automatic shelving and off-shelving of books are achieved; and the automatic book management robot can be used for temporarily storing a part of the books through the temporary storage bookshelf, so that book taking, transportation and book returning in a bathed mode are realized, then simultaneous borrowing of a large number of books is met, and time and labor are saved. The automatic book management system comprises the automatic book management robot and a book checking system so that all-weather work can be truly achieved, and autonomy and randomness requirements of information acquisition of readers can be met.

The invention provides a shared computing power data processing method and system based on a block chain and a storage medium, and the method comprises the following steps: sending a task request to aserver node according to the occupation condition of computing power resources; obtaining task blocks which are executed in parallel; executing a computing task according to the task blocks, generating a computing result, and generating a new block in a block chain according to the actual workload proof; wherein the actual workload proof is the workload which can be completed by computing power resources under the condition that the computing task is not executed; and verifying the computing result to obtain a verification result, and returning the verification result to the server node; idlecomputing nodes in a distributed network are fully and reasonably utilized, optimal distribution is guaranteed, powerful decentralized computing power resources are provided for high-strength computing type tasks, and the data processing efficiency is higher; Self control of the non-differential computing nodes is achieved. The invention is more practical and can be widely applied to the technical field of distributed computing networks.

The invention discloses a method for automatically identifying crop diseases by a plant protection unmanned aerial vehicle. The method comprises the following steps that: obtaining image information shot by the unmanned aerial vehicle on a preset proceeding route, and comparing the image information with a preset database; when the comparison result of the image information is a disease picture, reducing the flight speed of the unmanned aerial vehicle, and increasing the pesticide spraying amount of the unmanned aerial vehicle; and obtaining position information when the unmanned aerial vehicle shots the image information, and according to the position information, generating prompt information. The invention also relates to a device for automatically identifying crop diseases by the plantprotection unmanned aerial vehicle. The unmanned aerial vehicle is controlled to reduce the flight speed and increase the pesticide spraying amount, and pesticide spraying intensity is enlarged for crops on the positions of plant diseases and insect pests so as to reduce plant diseases and insect pests.

The invention provides an exit-entry commodity-oriented risk assessment system which realizes the autonomous participation, autonomous credit investigation, autonomous evaluation and autonomous feedback during a risk assessment process by using a block chain and an intelligent contract in combination with the technologies, such as data mining, web crawlers, etc. The system is characterized by comprising a risk data collection module which is used for collecting the risk assessment information related to entry and exit commodities through an intelligent contract and storing the risk assessmentinformation in a block chain; a risk data evaluation module which is used for generating a commodity risk score of the entry and exit commodity according to the risk evaluation information, wherein the risk data acquisition module comprises a commodity information storage part, a main body information storage part and an environment information storage part; the environment evaluation values correspond to different entry and exit places and are used for evaluating the situations of the entry and exit places and the law and regulation situations of the entry and exit places, and the risk data evaluation module comprises a risk score control part, an information retrieval and acquisition part, a commodity risk score generation part and a risk score output part.

The invention provides a method and a system for recovering an on-orbit latch of a satellite-borne transponder. The method comprises the following steps that a ground station or a relay satellite sends a remote control uplink instruction or data injection to a satellite; whether the two transponders on the satellite are latched or not is judged, if no response exists on the satellite, the two transponders are latched at the same time, and a double-channel fault mode is entered; if a response exists on the satellite, the two transponders work normally, or one of the transponders A and B is latched, and a single-channel fault mode is entered under the condition that one transponder is latched; the fault responder B is restarted after power failure; the ground station or the relay satellitesends a remote control uplink instruction or data injection to the satellite by using the transponder channel restarted after power failure; and if the satellite normally receives the instruction or the data, the fact the transponder restarted after power failure recovers normal work is indicated. According to the invention, when the two transponders are latched, the satellite can automatically make a judgment, autonomous power-off restart is carried out on the latched transponders, and the measurement and control communication function is recovered.

The invention discloses a multi-target flexible job shop scheduling method and device based on deep reinforcement learning, and relates to the technical field of dynamic scheduling. The method comprises the steps: reading a production line state feature vector at a current rescheduling moment, and inputting the production line state feature vector into a trained target strategy network of a targetintelligent agent to obtain a scheduling target; inputting the production line state feature vector and the scheduling target into the workpiece strategy network of the trained workpiece intelligentagent to obtain a workpiece assignment rule, and inputting the workpiece assignment rule into the machine strategy network of the trained machine intelligent agent to obtain a machine distribution rule; selecting a to-be-machined workpiece according to the workpiece assignment rule, selecting a machining machine according to the machine allocation rule, and machining the next procedure of the to-be-machined workpiece through the machining machine. Therefore, different optimization objectives, workpiece assignment rules and machine allocation rules are intelligently selected according to the state of the production line at different rescheduling moments, and multi-objective collaborative optimization and complete real-time, autonomous and unmanned intelligent factories are realized.

The invention relates to application of novel recombinant R-Omega-transaminase and a high-activity mutant of the recombinant R-Omega-transaminase in asymmetrically synthesizing sitagliptin by catalyzing sitagliptin precursor ketone. The amino acid sequence of the recombinant R-Omega-transaminase is shown by SEQ ID:1, and the mutant of the recombinant R-Omega-transaminase is obtained by performingsingle-site mutation or multisite mutation on one or more of a 60th site, 113th site, 178th site, 233th site, 146th site, 214th site and 186th site of the amino acid sequence shown by SEQ ID:1. The mutant of the novel R-Omega-transaminase with high activity and high stereoselectivity is provided; the mutant has milestone significance in realizing autonomization and localization of a biological catalysis preparation technology for the sitagliptin; and the technology monopoly situation that an enzyme source is single in the process of asymmetrically synthesizing the sitagliptin at present can bechanged.

The invention provides a rendering method and system based on a cloud computing chain and a storage medium. The method comprises the following steps: sending a rendering task request to a server node;obtaining rendering task blocks which are executed in parallel; rendering according to rendering task blocks to obtain rendering results; extracting and integrating the rendering results and returning the integrated results to server nodes; actively putting forwarding task requests according to the rendering nodes, reasonably distributing the task blocks generated after task processing and splitting to all the available rendering nodes in a network, providing powerful decentralized computing resources for high-strength computing type tasks through the idle states of the rendering nodes so that data processing efficiency is higher. By the active requests and a distribution matching mechanism, the distribution of the computing tasks is more reasonable, the autonomous rendering nodes withoutdifference is further realized, and the invention can be widely applied to the technical field of distributed computing networks.

The embodiment of the invention discloses a patent whole-process management method, system and equipment applying a block chain technology. Patent whole-process management is divided into three processes, namely patent application management, patent maintenance management and patent operation management, and each process has corresponding managed data, consensus contract rules and nodes; a consensus contract rule corresponding to each process is formulated in advance, and each process is managed by storing the managed data in the corresponding auxiliary chain; and the auxiliary chains can be independently operated and managed and can also be operated and managed in a mutual cooperation mode. On the basis of a traditional patent application management system, patent maintenance management and patent operation management are added, the patent management process is extended, multiple persons involved in patents are gathered on the same platform, centralized distribution and management ofresources are achieved, the number of clients is effectively increased, and the problem of patent management cost caused by individual management of each enterprise is solved, and the maximization ofpatent value is effectively realized.

The invention provides a skill assessment system and method. The system includes: an assessment board provided with an assessment circuit; an intelligent instrument used for reading a current or voltage parameter on the assessment circuit; and a man-machine interaction system which is connected with the intelligent instrument and used for reading a parameter output by the intelligent instrument when it is detected that the assessment board is placed on a preset assessment position. The man-machine interaction system compares the parameter read by the intelligent instrument and a correct answer of a corresponding assessment test point and gives a grade according to the comparison result. Through the skill assessment system, an assessment process is kept to be highly fair and self-independent so that assessment work intensity of teachers is reduced greatly.

The invention relates to a course website system based on B / S architecture. The course website system comprises a foreground dynamic website and a background website data maintenance system, all related teaching information and question bank information about courses in the foreground dynamic website are maintained and managed by the background website data maintenance system; the foreground dynamic website comprises a foreground login registration unit and a foreground homepage unit; the background website data maintenance system comprises a background login registration unit, a question bankinformation adding unit and a module information updating unit. The teaching aid is simple and reasonable in structural design, complete and diversified in function, simple and convenient to operateand use, and capable of meeting course learning requirements of students.

The invention discloses an unmanned plane all-weather carrier landing cooperation target robustness detection and coupling method. The method includes a cooperation target image acquisition step including that an image acquisition device acquires the images of the carrier landing area, the acquired images include an image of a thermal infrared carrier landing cooperation target which is composed of five heating electric furnaces distributed on the same plane and in a cross shape; and a cooperation target image processing step including 201, image pre-processing; 202, image segmentation based on a significant area; 203, contour information extraction; 204, thermal infrared cooperation target detection and coupling and including the steps of distance constrain, shape constrain, and position constrain. The method is simple in step, reasonable in design, convenient to realize, high in detection precision, and good in use effect, and can carry out the accurate robustness detection and rapid coupling of the cooperation target for the long-distance and all-weather guiding of the unmanned plane carrier landing under a complex environment.

The invention discloses a message system, comprising a request entry module, a verification module, a message factory module, a sender module and a template module. The request entry module comprisesan API interface unit and a WATCHER unit, wherein the API interface unit and the WATCHER unit receive a request sent by an internal system of a caller and send the request to a check module, and the check module checks the request sent by the request entry module; The message factory module is used for producing message objects according to different event types and sending the encapsulated message to the sender module. The sender module comprises an intra-station message sender unit, a mail sender unit, a short message sender unit and a micro message sender unit, wherein, the sender module invokes a corresponding third party platform to send a message to a user; The template module is used for storing the template; The invention also discloses a message sending method. The invention strips the message transmission from the main flow of the service, reduces the coupling degree between the systems, and reduces the influence on the main flow of the service.