69results about How to "Distributed" patented technology

The invention discloses a partition tree based multihop wireless self-organizing networking method, including the deterministic process for all partition root nodes, the interconnecting process between root nodes, the interconnecting route maintenance process between root nodes, the creation process for the partition tree, the dynamic maintenance process for the partition tree and the partition tree based routing process. Compared with the prior wireless network technology, the novel multihop wireless self-organizing networking method of the invention has the advantages of good expansibility, controllable network structure scale, little system overhead and high routing efficiency, thereby effectively improving network transmission efficiency and network performance.

The invention discloses a satellite cluster self-organization networking method based on a master-slave heterogeneous data transmission module. The method comprises the following steps that: in an initialization state, all nodes are set in a slave mode, and heartbeat information is transmitted; if a master node in a master mode is in a network at this moment, the master node senses the participation of a new node through a heartbeat message and allocates a heartbeat message transmission time slice, an election time slice and a transmission demand polling time slice for the new node; if the network has no master node at this moment, and a slave node in the slave mode cannot receive the heartbeat information of the master node, the networking process enters into a master node election state, each slave node divides the time slice according to an ascending order of addresses and automatically switches into the master mode; if the heartbeat information of the master node is received within a waiting time, the network has the master node, time of the network is synchronized with that of the master node, and the network participates in time slice polling and data transmission under coordination of the master node. The method provided by the invention has higher fault tolerance, robustness and flexibility, and improves viability of the self-organization network.

The invention belongs to the technical field of safety communication between motorcades in Internet of Vehicles, and discloses a motorcade establishment and management method and system based on a block chain and a PKI authentication mechanism. The method is mainly divided into two parts of motorcade establishment and group key agreement and update; the motorcade establishment part comprises the following main processes of member registration, member identity authentication and group head aggregate signature; and the group key agreement and update part comprises the following main processes ofgroup key agreement and group key update for dynamic joining and exiting of a vehicle. According to the method and the system, the block chain is combined with the PKI authentication mechanism, a problem of identity authentication of the vehicle, a server and an RSU in the Internet of Vehicles is solved; the motorcade establishment is completed based on an elliptic curve, a bilinear pairing technology and an aggregate signature; and the group key agreement and update can be realized based on a DDH difficulty problem, the forward and backward safety is achieved, and the safety of member communication in the motorcade is ensured.

The control system includes VME bus chassis, CPU main board, Ethernet comm interface board (CIB), reflection memory CIB, PROFIBUS CIB, digital signal interface board, analog signal interface board, and electrical motor control board (MCB). Boards and cards are inserted to backboard inside the VME bus chassis. Through VME bus, boards and cards in backboards inside same chassis can communicate each other through VME bus. Each board contains VME bus controller. VME bus controller implements functions of gating board, bus arbitration, interrupt response control, and reading and writing data. Each board possesses own address. Through VME bus, gated board exchanges data to CPU board. Using shared memory exchanges data between CPU boards in same backboard bus. The reflection memory CIB executes remote comm and real time control among multiple control systems. MCB can exchange data to CPU main board, and control motor through optical fiber interface driven by power switch in bottom layer.

The invention discloses a distributed multi-intelligent-agent real time fault detection method based on neighbor associated condition. By converting node models having faults, a new fault detection model is built, fault signals and system condition variables are decoupled, fault detection difficulty is lowered, and only associated condition information of neighbors can be obtained via nodes. According to the distributed multi-intelligent-agent real time fault detection method, by setting fault detection sub-networks and subjecting sub-network models to corresponding linear conversion, node associated condition information can be converted into condition variables in the above fault detection model, and fault detection tasks can be done via the model. The invention provides a new fault detection solution to observe whether faults occur. The invention provides a neighbor associated condition solution for fault detection results. According to the distributed multi-intelligent-agent real time fault detection method, groupment advantages of a multi-intelligent-agent system are fully used, reliability of detection results is increased without system hardware performance improvement, and the distributed multi-intelligent-agent real time fault detection method is high in application value.

The invention relates to a correlation method of distributed access points in a wireless Mesh network, which belongs to the technical field of the wireless Mesh network access. The method is characterized in that each access point of a wireless Mesh network adopts transmission of an uplink data message and a downlink data message to carry information needed to be collected by the access point, including the number of indirect users of the relevant access point and the average required bandwidth of the indirect users; during the access to the network, the user obtains a list of all accessible access points at first and then obtains various types of information needed for calculation in a relevancy algorithm from each access point in the list, including the number of direct users of the relevant access point, the number of indirect users of the relevant access point, the average required bandwidth of the direct users and the average required bandwidth of the indirect users; and then the user calls an optimal relevancy access point calculated in the relevancy algorithm and initiates relevancy to the access point. The mechanism disclosed in the invention can make the fulfillment rate of the average bandwidth of the relevant access point relatively balanced on the basis of ensuring a certain fulfillment rate of the required bandwidth of the user, thereby ensuring the load balance of the wireless Mesh network.

The invention discloses an automatic transmission line fault diagnosis and fault positioning method and a system. A system line model is built; when an EMS line tripping signal is sent, EMS data are analyzed, and an analysis result is stored to a database; while the EMS line tripping signal is sent, a fault recorder generates a fault recording file, file management is triggered for fault diagnosis and fault positioning, and the result is stored to the database; a client displays the fault diagnosis and fault positioning result via a browser interface in combination with a satellite map, and the fault diagnosis and fault positioning result is sent in a corresponding short message notification format. By adopting concentrated vector fault recording positioning, problems existing in traveling wave positioning and a fault recording or protection positioning method can be effectively overcome, and positioning accuracy is greatly improved.

The invention relates to a wireless service flow prediction method based on weighted federated learning. The method comprises the following steps: a control center pushes a plurality of pre-training models to a base station side; the base station side performs model training according to the local data and transmits the trained model to a control center; the control center fuses the models according to a weighting rule and feeds back the fused models to the base station, and more weights are given to the local model in the weighting rule; and the base station predicts the wireless service flowat the future moment according to the obtained final model. According to the wireless service flow prediction method provided by the invention, on the basis of a control center model aggregation strategy, the weighted aggregation rule is used for replacing an average strategy, so that the phenomenon of inaccurate prediction caused by data isomerism can be avoided, and the overall prediction precision of distributed wireless service flow prediction is improved.

The invention provides a scalable island multicast system (SIM) suitable for IPTV streaming media service. The system comprises an SIM server, an authentication and authorization server, a client mainframe, an STUN server and an IP multicast route. The tree-type structure adopted by the system has low end-to-end delay and is easier to maintain. The system adopts a local IP multicast mode favorable for the multicast of a streaming media application layer, blends an application layer multicast protocol and peer-to-peer network technology, has high efficiency, high robustness, high practicability, deployability and maintainability and supports real-time television and interactive film in the IP network. Simultaneously, the invention provides a simple data distribution and transmission method which is easy to realize.

The invention discloses a distributive positioning method of a mobile underwater sensor network node. The method comprises the following steps: self-positioning an anchoring node on time according to a surface float equipped with a GPS device to obtain the position information of the anchoring node at the current time as the initial position information; building a prediction model of the anchoring node according to the initial position information; sequentially predicting the position at the next time based on the initial position information and the prediction model and according to the preset positioning cycle; acquiring the initial position information of a general node by referring to the initial position information of other underwater nodes; sequentially predicting the position at the next time based on the initial position information of the general node and according to the group characteristics and the preset positioning cycle. According to the method, the distributive positioning algorithm is adopted, which fully utilizes the movement model of the underwater node, and thus the positioning information of each node is obtained on the premise that the communication times of the anchoring node and the general node are reduced, and as a result, the energy consumption is decreased.

The invention discloses a method and device for measurement and control resource scheduling and allocation based on multi-agent. The method comprises the following steps: in combination with an intelligent agent technology, modelling for an entity related in a resource scheduling process, and according to a function of each intelligent agent, endowing the intelligent agent with corresponding behaviors and attributes; in combination with the behaviors and the attributes endowed to the intelligent agent, and based on a conflict decision algorithm of priorities, scheduling and allocating execution resource for a measurement and control task; distributing the execution resource used as a scheduling and allocation result to a corresponding measurement and control station for facilitating execution. By the method and the device provided by the invention, resource allocation efficiency of the measurement and control task and satisfaction degree of measurement and control task resource allocation can be improved effectively, the method and the device have good adaptability and can cope with measurement and control task resource allocation problems of satellites of different types. Meanwhile, the method and the device have distributed feature and excellent expansibility, and can be adaptive to a measurement and control scheduling problem of follow-up multiple satellites and multiple stations expanding increasingly.

The invention relates to a computing technology of portrait data, in particular to a real-time portrait data computing method and a system. The method includes performing real time collection and analysis on log data so as to form a data c acquisition link; according to the data acquisition link, the log data is divided according to the data type to form an ordered message queue; the log data is used as Kafka message source, and the asynchronous communication mechanism of Kafka message queue is used to decouple and forward the log data between the layers; using Strom cluster, the data stream is calculated in real time based on the calculation rules of portrait labels, and the real-time portrait labels are outputted; storing the real-time portrait of computational output for query and return data, and caching the real-time data of short-term query for short-term high-frequency query; receive data inquiry request, dispatch processing data, effectively organize the real-time portrait label data, return the real-time portrait data and visualize the display. The invention improves the calculation output efficiency of the real-time portrait data.

The invention discloses a real-time time series predicting method and device. The real-time time series predicting method comprises the steps that a period is divided into multiple sections, and a model is established for each section with longitudinal time as a dimension; according to historical data, modeling is conducted on differential values of the same moment of different periods through the Gaussian model; during prediction, according to the moment to be predicted, the corresponding model is called, and a reference value of predication data is output, wherein the reference value is obtained by adding the data of the same moment of the last period and the difference value output by the corresponding model together. According to the real-time time series predicting method and device, due to the fact that modeling is conducted on the longitudinal time dimension, the complexity of each model is lowered.

The invention discloses a protection setting value on-line tracking system and method. The system comprises a service tracking functional unit, a conversion unit and a protection setting value provider agent unit, wherein the service tracking functional unit is used for monitoring configuration information of protection setting value set service equipment, generating a protection setting value set service tracking report message if the configuration information of the protection setting value set service equipment is monitored to be changed and sending the protection setting value set service tracking report message to the conversion unit; the conversion unit is used for analyzing and processing the protection setting value set service tracking report message, extracting protection setting value information, performing format conversion on the protection setting value information and storing the protection setting value information into a protection setting value database; the protection setting value provider agent unit is used for querying the protection setting value database periodically and sending the latest protection setting value to a protection verification and diagnosis agency if updated protection setting value information is queried. According to the invention, the technical problem about on-line obtaining of the protection setting value by a multi-agent system from relay protection intelligent electronic equipment in an automation process layer of a transformer station is solved.

The invention provides a grease storage remote supervision system and method based on a wireless sensor network. The system collects operation information of each oil tank region in a wireless way and transmits the information to a WEB system server; a grease storage remote supervision system operating on the WEB system server provides all function modules including a system login module, a system parameter setting module, a data receiving and sending and processing module, a warning management module and the like, the data receiving sending and processing module analyzes, processes, stores and displays the received liquid level temperature data of each oil tank region, a user can directly obtain the operation state of all oil tank regions in real time through visiting a real-time supervision interface of the grease storage remote supervision system, the system can discover the abnormity condition of the oil storage in the oil tank region, in addition, warning information can be displayed in the system interface, and meanwhile, short messages are sent for notifying users. Compared with the prior art, the system and the method have the advantages that the unified management on each oil tank region is realized, the safety of the oil tank oil storage management is improved, and the user loss is improved.

The invention discloses a fertilizer applicable to sandy saline-alkali land and a preparation method of the fertilizer. The fertilizer applicable to the sandy saline-alkali land comprises the following components: attapulgite clay, coal fly ash, humic acid, plant straw, municipal solid waste sludge, bentonite, polyacrylamide, carboxymethyl cellulose, hydroxyethyl starch and microbial powder in a weight ratio of (20-30):(20-30):(12-16):(18-22):(4-8):(2-4):(2-4):(1-3):(1-2):(0.5-1.5). The fertilizer applicable to the sandy saline-alkali land provided by the invention can effectively improve thesoil structure of the sandy saline-alkali land, reduce the salinity, reduce the content of sand in the soil, improve the content of nutrients in the soil, improve the compactness of the soil, and canenduringly and effectively improve the sandy saline-alkali land through cooperating with plant cultivation.

The invention provides a personalized recommendation engine implementing method based on multiple Agents. Personalized recommendation of a recommendation engine is realized by data mining, a personalized recommendation engine is implemented by a multi-Agent technology in the field of distributed artificial intelligence and is based on multi-Agent modeling, personated modeling is performed based on Agent, and a recommendation system is personalized. The personalized recommendation engine implementing method based on the multiple Agents is used for the two technical fields of data mining in distributed artificial intelligence and data mining in electronic commerce. A personalized recommendation effect of an electronic commerce recommendation system is achieved by intelligence, sociality, learnability and independence of the multi-Agent technology.

The invention discloses a microgrid operation method based on bid balance, comprising: acquiring, by microgrid bidding unit agents, microgrid internal cleared electricity, optimizing with the goal of achieving maximum value of a profit function, and seeking for a bidding function capable of acquiring optimal power generation; solving, by a microgrid bidding management agent, a new microgrid internal power price and generation scheduling scheme on condition of supply-demand balance according to the reported bidding function, issuing a new microgrid internal power price to all microgrid bidding unit agents, updating the profit function according to the new power price, re-deciding a bidding function, reporting again the bidding function to the bidding management agent in order to calculate a power price and generation distribution, repeating the above steps until the power price converges, and using a converged value as a microgrid internal clearing power price; determining the final internal clearing power price as a final microgrid power generation scheme. The power generation distribution scheme acquired herein allows power generation total cost of microgrid distributed power supplies to be optimized to arrive at economical operation of a microgrid.

The invention discloses an NSGAII-based multi-objective optimization decision-making method for a stratospheric aerostat. The method comprises the following steps of (1) building a stratospheric aerostat model, wherein the stratospheric aerostat model is a bielliptical geometric model composed of two semiellipsoids; (2) selecting skin volume, a resistance coefficient and a maximum loop stress of the aerostat as optimization objectives, and selecting skin thickness and a geometric slenderness ratio of the aerostat as optimization variables according to the built aerostat model; (3) performing optimization calculation on the aerostat model by using a multi-objective evolution algorithm, and performing continuous iteration to obtain a non-inferior solution of Pareto front; (4) performing decision-making analysis on an optimization result by adopting a fuzzy entropy weight-based TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) method; and (5) determining an optimal scheme by adopting the TOPSIS method. According to the method, a relatively optimal scheme closest to a positive ideal solution and far away from a negative ideal solution is obtained through the fuzzy entropy weight-based TOPSIS multi-attribute decision-making method.

The invention discloses a distributed rendering system for dirty area graphs of power grids. The distributed rendering system comprises a database server and a Web system server. A dirty area graph rendering software system is installed in the Web system server and comprises a dirty area graph rendering module, an identity information verification module, a three-dimensional dirty area information display module and a dirty area information data management module, the dirty area graph rendering module comprises a rendering data processing module, a rendering data storage module and a rendering data synchronizing module, the identity information verification module comprises an authority control module, the three-dimensional dirty area information display module comprises a graph layer control module, the dirty area information data management module comprises a data conversion module, a dirty area information filter module and a dirty area information analysis module, and the two servers are connected with a plurality of distributed client computers by a network. The invention further relates to a distributed rendering method for the dirty area graphs of the power grids. The method is implemented by the aid of the distributed rendering system.

The invention discloses a logistics information management network system, and relates to an information network. The logistics information management network system comprises a foreground function module and a background management module. The foreground function module is divided into a user module, goods information, enterprise information, announcement inquiry and data inquiry. The background management module is divided into user information management, enterprise information management, goods information management, announcement information management and message information management. The functions of a foreground interface comprises the following parts of site navigation, an information view module, a user register and login module, a member center, an information modification module, an information deleting module, an information inquiry module, a member message board and background management. The business expansion of the logistics information management network system is simple and convenient, and server functions can be added by adding webpages. The logistics information management network system is easy and convenient to maintain, and synchronous update of all the users can be achieved simply by changing the webpages. The logistics information management network system is easy to develop and strong in sharable performance.

The invention discloses a method for planting peanuts and improving a soil fertility condition on sandy saline-alkali soil. The method comprises the steps of application of fertilizer which is suitable for the sandy saline-alkali soil, land parcel finishing, seed treatment, sowing, field management and timely harvesting. The fertilizer which is suitable for the sandy saline-alkali soil comprises attapulgite clay, coal ash, humic acid, plant straw, municipal domestic waste sludge, bentonite, polyacrylamide, carboxymethyl cellulose, hydroxyethyl starch and microbial powder with the weight ratioof (20-30):(20-30):(12-16):(18-22):(4-8):(2-4):(2-4):(1-3):(0.5-1.5):(0.5-1.5). According to the method for planting the peanuts and improving the soil fertility condition on the sandy saline-alkali soil, measures such as application of the fertilizer which is suitable for the sandy saline-alkali soil and peanut planting are adopted for improving the saline-alkali soil, the survival rate and yieldof the peanuts are high, the improvement effect on the whole saline-alkali soil is prominent, and the improvement process is environmentally friendly and free of pollution. Therefore, the method is an application technology which is worthy of large-scale popularization.

The invention provides a method for organizing and managing scattered resources in a public cloud mode. A public cloud comprises two portions: a cloud computing management platform and a security-reinforced virtual machine monitor. The virtual machine monitor operates on user equipment and extracts relevant information of the equipment; the virtual machine monitor logs on the cloud management platform and reports the relevant information of the equipment automatically; and after the virtual machine monitor logs on the cloud management platform, the virtual machine monitor is subjected to the unified management of the cloud platform, is communicated with the cloud platform and receives calculating, storage and network execution requests of the cloud platform. The method can enable computing resources of existing personal computers, notebook computers, data centers in various scales, servers, storage devices, mobile telephones and tablet computers and the like to be accessed to an internet to form the public cloud, so that unified management can be realized, and resources can be utilized fully.

The present invention relates to a cloud computing environment intrusion detection system configuration and a method thereof. The system configuration comprises a cloud intrusion detection agent layer, a cloud intrusion detection domain control layer, a cloud intrusion detection domain control management layer and a cloud machine learning layer. An intrusion detection model is operated in the cloud intrusion detection agent layer, the conditions such as operation and network communication of a virtual machine can be monitored at the same cloud domain; the cloud intrusion detection agent layer in the same cloud domain performs information sharing to help other virtual machines perform prevention of intrusion threat; and the system configuration is a light-weight intrusion detection configuration so as to effectively improve the redundancy and the complexity of the intrusion detection configuration in a current cloud environment.

The invention discloses a blockchain-based communication method. The method comprises: a plurality of clients are established in a blockchain network and clients are classified into full message clients and light clients; communication addresses are allocated to all full message clients and light clients, wherein the communication addresses are public-private key pairs generated by using an encryption algorithm, the private keys are stored locally, and the public keys as addresses for receiving messages are published publicly; when a message is sent out, the client sending out the message signs the sent message by using the private key generated by the local communication address, a main message body is encrypted by using the public key generated by a communication address of a receiver, the message is transformed into a ciphertext, and the ciphertext as an attached content of the transaction is broadcasted to each full-message client in the blockchain network; and after the full-message clients receive the ciphertext, the ciphertext is packaged into block data, and the block data are broadcasted to each client in the blockchain network. Therefore, a safe, trusted, anonymous, anti-listening communication method is established.

The invention discloses fully synthetic cutting fluid with high abrasion resistance and high antirust performance and a method for preparing the fully synthetic cutting fluid, and belongs to the technical field of technological lubrication. By the aid of the fully synthetic cutting fluid and the method, the problems of poor universality, short user cycles, vulnerability to decaying and deterioration and severe pollution of the traditional cutting fluid mainly can be solved. The fully synthetic cutting fluid comprises, by weight, 0.50%-1.00% of disodium tetraborate decahydrate, 1.00%-2.00% of extreme-pressure agents, 0.02%-0.10% of defoaming agents, 0.08%-0.15% of 1, 2, 3-benzotriazole, 0.50%-1.50% of polyethylene glycol, 1.00%-2.00% of synthetic additive components A and the balance deionized water. The synthetic additive components A in the fully synthetic cutting fluid are multi-effect additives, and oleic acid and triethanolamine are synthesized according to a mass ratio of 1.8-2.0under the condition of constant temperatures ranging from 60 DEG C to 80 DEG C for 3-6 h to obtain the multi-effect additives. The fully synthetic cutting fluid and the method have the advantage thatthe fully synthetic cutting fluid not only is applicable to common cutters, but also is applicable to hard aluminum alloy cutters, can be used for machining diversified materials at high and low speeds and particularly can be used for machining cast iron, carbon steel, stainless steel and the like at high and low speeds.

The invention relates to the field of metal cutting additives, in particular to a full synthetic cutting fluid. According to a technical scheme adopted by the invention, the full synthetic cutting fluid is composed of the following components by weight percentage: 5-10% of a water-soluble extreme pressure additive, 3-5% of a surfactant, 5-15% of a rust inhibitor, 4-8% of a lubricant, 5-20% of a cosolvent, 5-10% of a triazole corrosion inhibitor, 0.2-1% of a bactericide, 0.1-1% of a defoamer, 1-2% of a synthetic additive, and the balance deionized water. The full synthetic cutting fluid provided by the invention has the advantages of: strong anti-rust ability, good ability for preventing workpieces from oxidizing and rusting, a maximum three-month (indoor) short-term rust protection effectaccording to different storage conditions, and strong hard water adaptability and physicochemical stability at the same time.

The invention discloses a preparation method of a comb type high-molecular flotation agent. The preparation method is characterized by comprising the following concrete steps: (1) preparing allyl-polyoxyethylene ether phosphate; (2) preparing a comb type high-molecular polymer: adding allyl-polyoxyethylene ether phosphate, fluoro-alcohol polyoxyethylene ether (methyl) acrylate, acrylamide and water into a reaction kettle, and reacting at the temperature of 80-100 DEG C for 3-5h under the action of an oxidation-reduction initiating system to obtain the comb type high-molecular polymer, wherein the mole ratio of allyl-polyoxyethylene ether phosphate to fluoro-alcohol polyoxyethylene ether (methyl) acrylate to acrylamide is 1: (0.05-0.5): (3-5), the dosage of an oxidizing agent is 0.5-5% of the sum of the mass of unsaturated monomers, and the mole ratio of the oxidizing agent to a reducing agent is 1: (0.5-3.5).

The invention relates to a fluid loss additive in the field of oil and gas well cementation and oilfield chemical auxiliaries, in particular to a fluid loss additive for oil well cement as well as a preparation method and an application of the agent. The fluid loss additive for the oil well cement is prepared from components in parts by weight as follows: 100 parts of 2-acrylamido-2-methylpropane sulfonic acid, 25-45 parts of N-vinylpyrrolidone, 8-45 parts of N,N-dimethylacrylamide and 8-33 parts of itaconic acid. The preparation method of the fluid loss additive for the oil well cement is an aqueous solution polymerization method. The fluid loss additive can be applied to well cementation operation at 30-200 DEG C, has no setting retarding effect on cement slurry and can meet high-temperature, ultra-high-temperature and low-temperature low-density well cementation operation requirements particularly.

The invention discloses a complex grid-connected system suitable for interconnection of a plurality of source storage load units and a control method. The system comprises a plurality of source storage load units, a plurality of grid-connected controllers and a common bus; each source storage load unit adopts a three-domain control architecture; each source storage load unit and the corresponding grid-connected controller form a source storage load unit micro-grid system; the source storage load unit micro-grid systems are mutually independent and perform energy interaction through the common bus. The method comprises the following steps of: firstly, dividing five control domains through bus voltage error amplification signals MEA generated in the source storage load units; and then determining the working modes of the source storage load units and the grid-connected controllers according to each control domain. According to the complex grid-connected system suitable for interconnection of the multiple source storage load units and the control method of the invention, expansion is carried out based on the three-domain control architecture; the system andcontrol method can be well compatible with an existing space power supply controller PCU;and plug and play can be realized; interconnection and grid connection of the plurality of source storage load units are realized only through the common bus and the grid connection controllers, and extra communication lines or control lines do not need to be erected.