400results about How to "Reduce delivery pressure" patented technology

The invention provides a humanoid patrol operation method and system for a semantic intelligent substation robot. The robot humanoid patrol operation method for the semantic intelligent substation comprises the following steps: autonomously constructing a three-dimensional semantic map of an unknown substation environment; based on the three-dimensional semantic map, combining the inspection / operation task and the current position of the robot to autonomously plan the walking path of the robot; controlling the robot to move according to the planned walking path, and carrying out an inspection / operation task in the advancing process; in the process of carrying out the inspection / operation task, adjusting the pose of the mechanical arm carrying the inspection / operation tool in real time, sothat the image of the equipment to be inspected is automatically collected and recognized at the optimal angle or the operation task is automatically executed at the optimal angle, and the full-autonomous inspection / operation task of the transformer substation environment is completed.

The invention discloses a device management tree's node information inquiring method, comprising: device management server issues inquiry request message for inquiring target node related information to terminal device; the terminal device finds the target node related information in the device management tree according to the inquiry request message; and feeds the found target node related information back to the device management server. Correspondingly, the invention discloses a terminal device. And the invention can make device management server reduce over occupation for air interface resources and processing resources of device management server system in the course of obtaining the target node related information.

The embodiment of the invention provides a block chain transaction information processing method and a block chain node. The method comprises the steps as follow: a block chain node divides related transaction information into a plurality of segments; each segment in the plurality of segments is sent to at least one target adjacent node of the block chain node; and publishing transaction party information related to the transaction information and address information of each adjacent node in the at least one target adjacent node into a block chain network. According to the method provided by the embodiment of the invention, the transaction party information related to the transaction information and the address information of the block chain node where the segment of the transaction information is stored are published into the block chain network, so that the transmission pressure of the block chain network can be relieved, and the storage space of the single node in the block chain network can also be reduced, a fault caused by malicious modification on segment content performed by the block chain node is avoided, and the security of the block chain network is improved.

The invention discloses a cooperative design method of fault detection filter and controller under DoS attack. The method is applied to a USV course control system, and is a cooperative design methodof a fault detection filter and an elastic event trigger controller based on a state observer, and the method comprises the following steps of: establishing a mathematical model based on the state observer USV control system under the influence of an actuator fault, a DoS attack and a network delay; introducing an event trigger mechanism related to the state of the observer, and establishing the model of the USV control system capable of simultaneously describing the time delay of the network transmission and the influence of the event trigger mechanism by using the time-delay system theory, determining an event trigger matrix W of the USV control system model, a state observer gain matrix L1, L2, a fault detection filter gain matrix V1, V2 and a controller gain matrix K; establishing a fault detection filter and an elastic event trigger controller based on a state observer under the DoS attack. The cooperative design method of fault detection filter and controller under DoS attack caneffectively resist the DoS attack and detect the fault in time.

The invention belongs to the technical field of mobile edge computing unloading, and provides a task unloading method based on approximate optimization and reinforcement learning in MEC. A mathematical model is established for the problem, and a to-be-solved problem is converted into an integer linear programming problem. In order to solve the problem. an offline algorithm provided by the invention performs relaxation operation on integer constraint conditions in the problem, and then performs filtering and rounding operation on a solving result in sequence to obtain a final solution. The invention also provides an online algorithm for solving the problem, a linear regression method is used for predicting and providing an unloading strategy based on a reinforcement learning theory, and then a corresponding optimal resource allocation strategy is further provided by combining a deep neural network on the basis. A reasonable task unloading and resource allocation strategy can be formulated for a user under a limited resource condition, so that the application program execution delay and equipment energy consumption of user equipment are effectively reduced, and the utilization rateof the whole network is improved while the service quality is improved.

The invention provides a foreground segmentation method applied to mobile communication network transmission and belongs to the field of image processing and communication network transmission. Five background templates with the shooting time intervals to be consistent with image acquisition intervals in the case of operation are pre-stored, and the former four background templates are used for fine detection in the case when a target is detected coarsely. The difference region area between the monitored image and the background image is calculated to judge whether a target enters, the image does not need to be transmitted when the target does not exist, the target region is segmented when the target exists, and the target region is only transmitted. The received target region is fused in the pre-stored background image by a server for video playing or image presentation. In a shooting mode, in order to prevent a passerby from being judged to be an obstacle, the target is set to be transmitted to the server only when the target is extracted by a third party according to the scene length, the human walking speed and the monitoring shooting frequency. Background replacement can be timely carried out after each time of segmentation cycle acquisition is finished, and interference caused by light and other environmental changes can be overcome in a slow transition way.

The embodiment of the invention provides an intelligent contract processing method and apparatus. The method comprises the following steps: a first transaction node obtains the contract signed by a second transaction node from a storage node according to the address information of the storage node; the first transaction node re-signs the contract signed by the second transaction node to get the contract after the secondary signature; and the contract after the secondary signature is stored in the storage node. According to the intelligent contract processing method and apparatus provided by the embodiment of the invention, the identity information of both transaction parties is broadcasted in a block chain network and store the address information of the storage node with the contract viathe transaction nodes instead of broadcasting the contents of the contract into the block chain network, as the size of the address information is less than the size of the contents of the contract, the transmission pressure of the block chain network is reduced, and for a single node in the block chain network, the storage space of the single node is saved, meanwhile, the contents of the contractare stored on the storage node instead of broadcasting to the block chain network, thereby improving the security of the transaction.

The invention discloses a security event triggering control method for a load frequency control system under DoS attack. In view of the current situation in which a load frequency control system of amulti-region power system may suffer from network attacks, DoS attack is introduced to build a switching system model in order to solve the security control problem. Moreover, in view of the current situation of limited bandwidth resources, an event triggering mechanism is introduced. The main idea of the event triggering mechanism is as follows: whether a current sampling signal satisfies a preset triggering algorithm is detected; if the current sampling signal does not satisfy the preset triggering algorithm, the sampling signal is transmitted to a controller; and otherwise, the sampling signal is abandoned. Through improvement from the two aspects, it is ensured that the system can run safely and smoothly under the premise of global stability, the number of redundant signals transmittedis reduced, the network transmission pressure is reduced, and bandwidth resources and energy required for communication are saved.

A method and device for improving user access speed of mobile broadband internet are provided by the present invention, and the method includes that a base station receives a request for accessing packet domain service from an user; if there is the packet domain service content requested by the user in a local buffer of the base station for storing packet domain service contents, then the packet domain service content requested by the user is acquired from the local buffer of the base station for storing packet domain service contents, and the packet domain service content acquired from the local buffer of the base station for storing packet domain service contents is sent to the user; and / or, if there is not the packet domain service content requested by the user in a local buffer of the base station for storing packet domain service contents, then the packet domain service content requested by the user is acquired from a packet domain service server, and the content acquired from the packet domain service server is sent to the user.

The invention discloses an acoustic signal collection method based on compressed sensing, which can realize of reconstruction of the acoustic signal with high probability at a relatively low average sampling frequency, breaks through limitation of the Nyquist sampling theorem on the sampling frequency, and reduces requirements on the sampling performance of a sensor. The method has the advantages that: based on the compressed sensing theory, a novel random measurement mechanism is designed aiming at the characteristics of a real acoustic signal collection element, so that the difficulty in realization of hardware is greatly reduced; therefore, the acoustic signal collection element based on compressed sensing has real application values. The method is particularly applicable to an acoustic monitoring system based on a wireless sensor network, and can greatly reduce requirements on the sampling performance of the sensor and the wireless data transmission.

The invention relates to a navigation signal acquiring method based on compressed sensing. Navigation signals are projected to form low-dimensional observation vectors by an observation matrix, the sparse optimization problem is solved at a signal reconstruction end, and high-dimensional navigation signals are reconstructed by the low-dimensional observation vectors at high probability. Requirements of Nyquist sampling frequency to hardware are met well, an acquiring device is only required to work in a low-speed sampling state to acquire measuring values, and the navigation signals can be reconstructed at a computing center, so that the workload of the acquiring device is greatly reduced, and data transmitting pressure on a transmitting system is relieved.

The invention relates to an energy-saving environmental-protection type abrasion resistant canned hydrocarbon refrigerant, which comprises propane and isobutane. The energy-saving environmentally-protective abrasion resistant canned hydrocarbon refrigerant is characterized in that the energy-saving environmentally-protective abrasion resistant canned hydrocarbon refrigerant further comprises low temperature refrigeration lubricating oil; the propane accounts for 54 to 65 percent; the isobutane accounts for 30 to 40 percent, and the low temperature refrigeration lubricating oil accounts for 3 to 8 percent. The hydrocarbon refrigerant is prepared by mixing mixed alkane with certain proportion and the low-temperature refrigeration lubricating oil in proper amount, thus effectively solving the problem of the prior hydrocarbon refrigerant that a compressor is abraded frequently and a cylinder bore is scuffed frequently due to the characteristics of being too dry and excellent oil solubility, The hydrocarbon refrigerant with mixed alkane disclosed by the invention belongs to natural working fluid, is free of fluorine without influence on warming-up of the global climate. Compared with R12 and R134a, the freezing point is lower; the latent heat of vaporization is larger; the specific energy of constant entropy compression is smaller so that the compressor works more easily. The flowing property is better; the delivery pressure is lower; the load of the compressor is lower; fuel consumption is reduced and the energy-saving rate can reach 10 percent to 20 percent when the air conditioners are running.

The invention discloses a map drawing method based on remote sensing image tile data. The map drawing method sequentially comprises the following steps: initializing and operating a downloader, creating a multi-thread downloading task, generating a map tile data request, returning response image tile data, analyzing the response image tile data, and updating and rendering the response image tile data on an interactive interface. The technical route is simple and easy to implement; efficient and reliable downloading, rendering and storage of the Google map satellite image data can be realized;the requirements of various WebGIS applications on tile data can also be met; meanwhile, the tiles existing in the buffer area are not downloaded repeatedly any more; the network transmission pressureand the tile refreshing delay are greatly reduced, the calculation amount of the downloader is reduced, the downloading speed and the downloading accuracy are improved, and by adopting the two accessmodes of database storage and directory storage, the storage mode is flexible, and various requirements of users are met.

The invention discloses a PCIE-based multi-channel data acquisition unit. By adopting a PCIE protocol, a feedback type enhanced phase lock loop and a pingpong buffer structure, the multi-channel high-rate data sampling, the clock synchronization among channels and the data transmission real-time property of each channel can be realized.

The invention discloses a method and a device for detecting node address conflict. According to the method, a second network node periodically broadcasts all ARP (address resolution protocol) messages taking each MAC (media access control) address and each IP (internet protocol) address of the second network node taken as a source address, and the second network node does not broadcast all ARP messages simultaneously; and a first network node receives the ARP messages and judges whether the source address of the ARP message is in conflict with the address of the first network node, and if so, the message about address conflict of the source address carrying the ARP message is reported to a webmaster server. Due to adoption of the method, the first network node not only can detect whether self IP address is in conflict with the IP address of the second network node, but also can detect whether self MAC address is in conflict with the MAC address of the second network node, so that the accuracy on detecting the node address conflict is improved; and the second network node does not broadcasts all the ARP messages simultaneously, so that the network transmission pressure can be reduced.

The invention relates to an Internet of Vehicles content cache decision optimization method, which belongs to the technical field of mobile communication. In the Internet of Vehicles content cache decision optimization method, the Internet of Vehicles is provided with a plurality of content cache nodes, and the content requested by a vehicle can be stored in the content cache nodes; if a nearby vehicle or a roadside unit already caches the request content of the current vehicle, the current vehicle obtains a content service from the cache node through a V2V link or a V2I link; a mobile edge computing server is deployed on the RSU side, can provide storage and computing capabilities and is used for content storage and processing; and due to the fact that the moving speed of the vehicle is high, the content request vehicle cannot completely obtain the needed content within a current RSU coverage range, and therefore the content request vehicle needs to continue to obtain the remaining content within a next RSU coverage range. The Internet of Vehicles content cache decision optimization method aims to reduce the total time delay of acquiring the required content by the content requestvehicle. According to the Internet of Vehicles content cache decision optimization method, the association problem of vehicles can be solved, and the content pre-caching is considered, so that the optimal content caching decision is obtained.

The invention relates to a passive optical network flow whole-network acquisition device and a passive optical network flow whole-network acquisition method and relates to the technical field of an optical access network. The passive optical network flow whole-network acquisition device comprises a parameter configuration unit, a timer unit, a data storage unit, a data acquisition unit and a data uploading unit, wherein the parameter configuration unit is used for configuring data acquisition parameters; the timer unit is used for periodically sending out a timing message according to acquisition intervals so as to start a timing data acquisition function; the data storage unit is used for carrying out packaging and decompression on received data and storing the data after analysis; a data storage space is formed in the data storage unit and is used for caching data to be uploaded; the data acquisition unit is used for acquiring the data in each acquisition interval, carrying out compression and subpackaging on the data and actively reporting the compressed and subpackaged data to the data storage unit; the data uploading unit is used for carrying out packing on the data stored in the data storage unit and then uploading the data into an external data server by an FTP (File Transfer Protocol) protocol. The passive optical network flow whole-network acquisition device and the passive optical network flow whole-network acquisition method support transmission of a great quantity of data; a transmission pressure between board cards is effectively reduced; data flow of the whole network can be acquired.

The invention relates to a construction system of a digital twinning system for robot assembly. The construction system comprises a physical space, a digital space for bearing the digital twinning system, and a communication interface for connecting the physical space and the digital space, wherein the physical space comprises an assembling robot, assembling equipment, an assembling target object,a main end controller, an assembling environment and a digital sensor, and the digital sensor is installed in a working scene, collects geometrical information and physical information of the assembling robot, the assembling equipment, the assembling target object and the environment and sends the geometrical information and the physical information to the digital space through a communication interface. Compared with the prior art, the construction system has the advantages of comprehensive consideration of the virtual model and the like.

The invention relates to a method, an SN, a base station and a system for performing cell merging on the basis of multiple Smallcell base stations. The method comprises that: after the SN receives a cell establishment request of an RNC, a same-frequency logic cell is established on the basis of a logic base station formed by merging of the multiple Smallcell base stations; an Iub interface control plane is realized in the SN, and wireless links between the SN and the corresponding Smallcell base stations are established; and data transmission and resource management are performed on the same-frequency logic cell on the basis of the wireless links. RNC capacity expansion, soft handover between a large number of Smallcells and cross-RNC Iur soft handover between macro-micro cells caused by application of the large number of Smallcell base stations can be avoided. Besides, reuse of HS-PDSCH code track resources can also be realized and throughput of the same-frequency logic cell can be enhanced.

The invention provides a power distribution equipment monitoring system based on the Internet of Things technology. The power distribution equipment monitoring system comprises a data acquisition module, an edge calculation module and a cloud management platform; the data acquisition module is used for acquiring monitoring data of power distribution equipment in real time and transmitting the acquired monitoring data to the edge calculation module; the edge computing module is used for analyzing and processing the received monitoring data, and transmitting an abnormality analysis result to the cloud management platform when analyzing that the monitoring data is abnormal; and the cloud management platform is used for sending out corresponding abnormity alarm information according to a received abnormity analysis result. According to the system of the invention, the manpower cost for monitoring the power distribution equipment is reduced, and the performance of monitoring data management of the power distribution equipment is improved.

The application discloses a physical sign signal acquiring method and physical sign signal acquiring equipment. The acquiring method comprises the following steps: acquiring a physical sign signal of a human body by virtue of the acquiring equipment; performing scene recognition by use of the acquired physical sign signal; performing signal quality evaluation on the acquired physical sign signal according to a recognized scene; uploading the physical sign signal with qualified signal quality to a server. By virtue of the implementation method, signal quality evaluation is realized at the acquiring equipment, and signals with poor quality are not transmitted and stored, so that the transmission pressure and the storage pressure are reduced; the use stage and application scene of the equipment and the current human body state can be automatically analyzed.

The invention discloses an apparatus and system of compression / decompression of neural network data, a chip, and an electronic device. The apparatus of compression of neural network data includes a model conversion module and a data coding module which is connected with the model conversion module. The apparatus of decompression of neural network data includes a data decoding module and a model conversion module which is connected with the data decoding module. The system of compression of neural network data includes the above compression apparatus and decompression apparatus. The apparatus and system of compression / decompression of neural network data can compress / decompress the neural network data, can achieve relatively higher compression ratio, and can greatly reduce the storage spaceand transmission pressure of the neural network model.

The invention provides a video image processing method, device and system. The video image processing method comprises the steps of: acquiring a video image in a monitoring scene by a sending end; splitting the video image into a first image and a second image; calculating difference information between the second image and a pre-stored reference image; according to the difference information, determining a transmission content to send, wherein the transmission content comprises the first image and information used for determining the second image; receiving the transmission content by a receiving end, wherein the transmission content comprises the first image and the information used for determining the second image; according to the information used for determining the second image and the reference image synchronous with the sending end, determining the second image; and, according to the first image and the second image, generating an original video image. By means of the embodiment of the invention, the whole video image does not need to be transmitted; on the premise that correct transmission of the video image is ensured, the data size in the transmission process can be greatly reduced; and the transmission pressure of a communication network can be reduced.

The invention discloses an energy-saving sensor data collection method based on cross layer safe compression. High energy efficiency and safety are achieved by means of the CS cross layer safe compression method. The method comprises a CS-based safe compression method and a cross layer combined optimization method. According to the CS-based safe compression method, encryption and integrity checking is combined with compressed sensing, and safety and low redundancy rate of data are ensured; cross layer combined optimization relates to the source encoding rate, transmission power and TDMA time slot assignment of a physical layer and a MAC layer, and energy minimization is achieved by means of the nonlinearity convex optimization algorithm. The energy-saving sensor data collection method based on cross layer safe compression achieves higher data safety, optimized energy efficiency, smaller transmission information amount, and smaller system complexity.

The invention discloses a load frequency quantification control method based on an event trigger mechanism under DoS attacks, which is specifically applied to the load frequency quantification controlin a multi-region electric power system. The method comprises the following steps of: establishing a switching system model of load frequency control of the multi-region electric power system with aquantification device under the DoS attacks; introducing the event trigger mechanism into the switching system model and setting trigger conditions of the event trigger mechanism; defining a first segment function and a second segment function based on the state of the multi-region electric power system and a time delay system theory respectively; improving the switching system model based on thefirst segment function and the second segment function to obtain a final switching system model; determining a trigger matrix and a controller gain matrix; establishing a state feedback controller ofthe final switching system model. According to the method provided by the invention, stable and safe operation of a load frequency control system of the multi-region electric power system is ensured;meanwhile, network bandwidth resources occupied in a communication process and needed energy sources can be reduced.

The invention relates to a camera shooting device, a face recognition method and a computer readable storage medium. The face recognition method comprises the following steps of carrying out face detection on video data to obtain a face image; tracking the face image, and acquiring a sequence of face images; performing image quality evaluation on the sequence of face images, and acquiring a presetnumber of face images which are ranked in the top; carrying out feature point positioning on the preset number of face images which are ranked in the top, and carrying out correction based on positioned face images; inputting the corrected face images into a depth neural network model which is generated in advance, and acquiring an output face feature vector; sending the face feature vector to aserver, and carrying out comparison operation on face images in samples in a face image sample library. According to the invention, the calculation pressure of the server during face recognition can be reduced, and the network transmission pressure can also be reduced.

The application aims at providing a method and device for distributed diagram calculation. Compared with the prior art, the method provided by the invention comprises the following steps: firstly acquiring original diagram data, and processing the original diagram data according to a diagram algorithm to acquire structured diagram data corresponding to the diagram algorithm, thereby adapting to the diagram algorithms in different types; and then distributing the calculation tasks corresponding to the diagram algorithms to multiple calculation nodes to be executed, wherein a persistence condition should be satisfied in the execution process, the persistence operation is performed, the data dependence is cutoff, the repeated calculation amount is reduced, and the processing efficiency is improved. Furthermore, the application comprises firstly performing a combination operation on the diagram data before an aggregation operation and a connection operation, thereby improving the operation efficiency and relieving the network transmission pressure. Furthermore, the application adopts a data serialization and deserialization method to facilitate the transmission of intermediate data produced in the calculation process between the calculation nodes.

The invention discloses a method and a device for constructing a high-precision map. The method comprises the steps of performing semantic sensing on one or a plurality of images of an on-vehicle camera from a vehicle based on a deep learning algorithm; performing three-dimensional reconstruction on an attention road sign according to vehicle attitude data and a semantic sensing result; parameterizing a three-dimensional reconstruction result; and adding a parameterizing result into a high-precision map database. The method and the device according to the invention have advantages of greatly reducing manufacturing cost of the high-precision map, facilitating data acquisition mode in a crowdsourcing manner and increasing update frequency of the high-precision map.

The invention discloses a detection and sealing integrated method and a device for a gas extraction drill hole. A ruler on a detector is used for recording the distance from a hole mouth to the rear end of a coal crushing area, then detection is carried out in a fracture area instead of the coal crushing area, the position of a fracture is recorded when the first fracture is found, then the detection is continuously carried out inward, and gas extraction begins; when concentration of the gas extraction is less than 16%, second hole sealing is carried out, the fracture is blocked from inward to outward, powder materials are conveyed into a sealing cavity through a feeding pipe, then the powder materials stop being conveyed, gas in a gas bag is released, and sealing stops until the air bag moves to the coal crushing area; and positions of the coal crushing area and the fracture area can be accurately located when the second hole sealing is finished, and therefore the range of a first hole sealing section and the range of a second hole sealing section can be reasonably arranged, the problems that the gas leaks due to unscientific arrangement of the first hole sealing section and the like are solved, and the defect that the powder materials are wasted due to powder material conveying in the coal crushing area by means of a traditional method is overcome. The method is convenient to operate, and good in fracture blocking.