148results about How to "Guaranteed fault tolerance" patented technology

The invention relates to a block chain account book distributed storage technology based on erasure code, and belongs to the block chain technology field. The technology comprises the following steps:a) the block delay coding strategy allows to delay the coding of a certain number of new blocks to meet the synchronization requirements of other block chain consensus nodes for blocks; B) accordingto the set block coding algorithm, the blocks satisfying the coding condition are cut into k data blocks, each data block having a size of about 1 / k of the original block, and further the cut k datablocks are encoded into n (n) k encoded blocks by the erasure coding technology; (c) each block chain node reserves a part of that coding block, and finally the whole block chain network store the coding blocks decentrally; D) when the original block needs to be recovered from the encoded block, the current node collects the remaining encoded block corresponding to the block from the remaining nodes, and then recovers the original block according to the corresponding decoding algorithm. The method reduces the requirement of the block chain for storage resources and improves the utilization rate of storage space.

The invention provides a permission block chain node access method and apparatus based on PBFT (Practical Byzantine Fault Tolerance). The permission block chain node access method based on PBFT includes the following steps: S110, adding a new permission node; S120, synchronizing the permission node without performing agreement temporally; S130, determining whether the permission node satisfies the requirement of an agreement node, if so, entering the step S150, and if not, entering the step S140; S140, waiting until returning to the step S120; and S150, starting performing agreement transaction as the permission node becomes the agreement node. The permission block chain node access method and apparatus based on PBFT can realize dynamic access of the permission node of the permission block chain in a distributed network which takes PBFT as the agreement protocol, and can guarantee consistence of the node block data of the whole network at the same time, thus having relatively higher practicality, being safe and credible, and being conductive to implementation of the application of the permission block chain.

The invention relates to a heat switching system and a heat switching method of a dual-redundant CAN bus, and provides a networking mode of a dual-redundant CAN bus system and a dual-bus heat exchanging method. The networking mode of the dual-redundant CAN bus system is as follows: two bus cables are designed in network; each node unit comprises a microprocessor and two CAN controllers which are respectively connected with two bus cables to form two independent CAN channels. The dual-bus heat switching method is as follows: during operation, one of the channels is a working channel for receiving and transmitting messages and the other channel is used as a reserve channel for only receiving messages; and a CAN drive control software in the node monitors the channel state in real time, switches the reserve channel into a working channel when a fault occurs in the working channel and repairs the original working channel and sets the working channel to be a reserve channel.

The invention discloses Internet video-oriented distributed acquisition method and system. The method comprises the following steps of: utilizing a preliminarily customized regular expression to match the uniform resource locators of each video webpage and identifying a webpage possibly containing video; downloading the webpage possibly containing viedeo in parallel from a video website; respectively analyzing the structure of the downloaded webpage possibly containing the video; identifying the chained address of the effective video webpage; merging and storing the analysis result of the webpage structure; acquiring a video chained address hidden in the effective video webpage according to the chained address of the effective video webpage, analyzing the video chained address to acquire the actual video chained address; and downloading and storing the video corresponding to the actual video chained address.

The method for accessing the intelligent hardware to the Internet of Things cloud platform comprises the following steps: the Internet of Things cloud platform adding a virtual device corresponding toan intelligent device to be accessed, configures equipment user information for the virtual device and stores the equipment user information in a database; when the intelligent device is networked, the Internet of Things gateway monitors a connection request; the Internet of Things cloud platform authorizes and compares equipment user information through a database, and forwards the access mode to the protocol adapter for authentication and authorization; after the authentication and authorization are successful, if the data acquisition module receives the data message, writing the data intoa cache database and a real-time database, and sending the service data to a message queue, and if the data acquisition module receives the rule data, sending specified data to the intelligent devicethrough a network protocol; the timing data processing module receives the real-time data and transfers the real-time data to the big data processing platform, and the timing service module triggers aset event; and the big data processing platform processes the data at preset time intervals and generates big screen dynamic data.

The invention provides a large-scale distributed data collection system and method, and belongs to the technical field of data collection. The system comprises a task distributed node module, a management node module, a task warehouse module and a collection node module. A management node is used for providing a distributed synergic service, receiving and managing registered information of a collection node and a task distributed node, and performing communication on the collection node and the task distributed node on the basis of the certain frequency; the task distributed node is used for setting, distributing and monitoring collection tasks; a task warehouse is used for receiving and storing a collection task sent by the task distribution node; the collection node is used for obtaining the collection task from a task input warehouse and completing collection of corresponding data in an on-site control station; the collection task executed by the collection node can dynamically change according to user settings, a certain or some faults in the task distribution node and the collection node will not affect the current collection period collection result, and the large-scale distributed data collection system has the high flexibility, high tolerance and high reliability.

The invention provides a data read-write method of a disk array, comprising the following steps: distributing a plurality of ribbon structures in a memory and establishing a disk ribbon state bitmap to record the state attribute of all disk ribbons; initializing the disk ribbon state bitmap; receiving a read-write request of the user and updating the disk ribbon state bitmap; executing the read-write request of the user, executing a write target data block if the request is a write request, and updating a check block or updating the check block in a delaying mode according to the state attribute of the disk ribbon of the target data block; and executing a read-request processing flow if the request is a read request. The data read-write method uses the disk ribbon state bitmap for checking the written operation frequency in an automatic-adaptation way, and for the disk ribbon with high write-operation frequency, the check block is updated in a delaying mode to accelerate the read-write processing efficiency of the disk array.

The invention provides a large-scale distribution intelligent data collection system and a method based on industrial cloud and belongs to the technical field of data collection. The system user is subjected to permission verification by an user management module in the invention; the log management function is added to record the collection result,storage result and alarm log of each collection period; the remaining collection nodes are used as redundancy hot-backup; meanwhile, when the system is abnormal, the collection nodes are dispatched; the monitoring alarm function is added to monitor each aspect of the system and alarm the abnormal system in real time; the data compression function is added to compress the collection data, save space and improve the efficiency; when the collection nodes are abnormal in the current collection period, the backup collection nodes store the collection result of the backup collection task in a database so as to ensure the fault tolerance and reliability of the current sampling period collection.

The invention provides a fault-tolerant combined method of a strapdown inertia integrated navigation system for underwater vehicles. The method is composed of a strapdown inertial navigation system SINS, a terrain aided navigation system TAN, a Doppler velocity log DVL and a magnetic compass pilot MCP, and realizing an integrated navigation process through a decentralized filter structure and an intelligent fault-tolerance method. The method comprises the following steps of constructing sub-filters respectively with the SINS as a reference navigation system and the TAN, the SINS and the DVL, and the SINS and the MCP, extracting related characteristic quantities from the sub-filters to transmit them into fault diagnosis modules composed of a supporting vector machine, determining if faultsexist in the TAN, the DVL or the MCP, if the faults exist, information of the TAN, the DVL or the MCP with the faults is screened, then carrying out a system reconfiguration process, and then feedingback errors outputted from a main filter to the SINS for correction. The method can guarantee a good reliability and a high fault tolerance of a strapdown inertial integrated navigation system for underwater vehicles, especially make a support vector machine trained in small samples have a strong popularization capability, and provide a novel method for a fault diagnosis.

The invention relates to the technical field of cloud computing, in particular to a processing method and device for service requests. The processing method includes the steps that it is detected thatrunning of a present service container instance for processing the service requests sent by client terminals is abnormal, and then if first service requests which are resent by the client terminals in the preset retransmission duration and are same as the service requests are received, a plurality of started service container instances capable of responding to the first service requests are determined except for the present service container instance; according to health monitoring results of present running conditions of the multiple started service container instances, a target service container instance is selected from the multiple started service container instances; the service requests are sent to the target service container instance, so that the first service requests are processed through application services carried by the target service container instance. The response speed of retransmission service requests is increased, uninterrupted customer services are guaranteed, and the fault tolerance and the reliability of the processed results are improved.

The invention discloses an unmanned ship integrated navigation method based on self-adaptive federated Kalman filtering. An unmanned ship integrated navigation system is used for navigation and includes an SINS, a GPS, a compass and an embedded processor. Sensor information fusion is performed in the embedded processor by using an adaptive federated Kalman filtering algorithm; and the position, speed and posture information of the unmanned ship is outputted. According to the invention, because of application of an error model and an observation model of unmanned ship SINS / GPS / Compass integrated navigation, the fault interference among subsystems is reduced and the reliability and stability of the unmanned ship navigation system are improved. Since information distribution factors of sub-filters of federated Kalman filtering are designed based on the federated Kalman filtering, the abnormal disturbance of the system can be effectively restrained and the influence of the distribution principle on the filtering precision can be reduced on the premise that the fault-tolerant capability of the system is guaranteed.

The invention discloses a distributed optical fiber sensing signal mode identifying method and system. The distributed optical fiber sensing signal mode identifying method includes steps of acquiring samples, and acquiring several groups of samples for excitation signals of each behavior, so as to set up a sample library; roughly screening samples, screening the acquired sample library to remove samples high in discreteness; finely screening the samples, training to generate a classifier used for signal mode identification by means of the screened sample library and storing; identifying signal modes, calculating characteristic vectors for a newly triggered and read section of signal data and subjecting the characteristic vectors to calculation in the stored classifier to obtain mode identification results. The distributed optical fiber sensing signal mode identifying method and system can effectively identify invasion or damage signals in case that signals are carried with noise or distortion, and in the meantime, mistaken reports are reduced.

The invention discloses a default phase fault-tolerant control method of a nine-phase flux-switching permanent magnetic motor. The default phase fault-tolerant control method includes that redundancy characteristics and harmonic current of a nine-phase system are utilized to compensate a fault-tolerant control strategy; when a motor winding or a driving system is in a default-phase failure caused by one-phase circuit breaking or circuit shorting, by online calculating third, fifth and seventh harmonic current momentary values under copper loss minimum boundary conditions in real time and performing closed-loop decoupling control on the harmonic current, the motor can be smoothly transited from a nine-phase normal state to an eight-phase fault state and maintain both output rotating speed and rotating torque to be unchanged, undisturbed running of the driving system is realized, and requirements, of high-reliability application fields like track traffic and electromobiles, on system continuous running capability are met; during designing of the nine-phase flux-switching permanent motor, electromagnetic torque pulsation rate is lowered while high torque density of the special motor is retained.

The invention discloses a block chain network node load balancing method based on PBFT, the method is realized based on an alliance chain platform-super account book Fabric, and the system is dividedinto a web layer, a business layer Fabric-sdk-go, an intelligent contract layer namely a chain code layer, and a Fabric namely a block chain storage layer. According to the invention, a main node carries out transaction legality judgment, verification, hash calculation and the like. When a large number of transactions arrive at a main node at the same time, the workload of the main node is very large, the other nodes are in an idle state, and when block information is broadcasted, the large number of transactions can cause too large block output bandwidth of the main node and too heavy load, which is an important factor influencing the performance bottleneck of a block chain system. The load balancing method solves the problem, a part of work of the main node is completed by other nodes, the compressed transaction information is broadcasted, the network exit bandwidth is reduced, the transaction throughput of the system is improved, and meanwhile, the safety and the error-tolerant rateof the system are still ensured.

This invention relates to computer application technique field based on content digital music index characteristics database and generation system, which comprises the following parts: digital musical materials memory part, digital music files reading and rhythm characteristics extracting part, rhythm section characteristic symbol testing part, rhythm characteristic mode generating part and music rhythm characteristic mode database part, wherein, the extracting part reads the music materials files and through rhythm section testing part to test and mark into rhythm mode generating part to get mode data files.

The invention relates to a method for protecting data in an order execution process and prolonging service life of a power-down protection date buffer memory and a smart card when the smart card is in the working state, the power is accidentally cut and the card is maliciously pulled out. A power-down protection sub-system in a smart card operation system comprises a random number generating module, a power-down protection control item, a power-down protection control register, a power-down protection data buffer memory block, a power-down protection data buffer memory control method and a power-down protection data recovery control method, which work cooperatively together; by randomly selecting different power-down protection data buffer memory blocks and a transferring sequence of controlled protection states, the purpose of either storing unchangeable date in a date memory in the smart card before executing the order or integrally storing all obtained new data after executing the order is realized to enable the read-write operation times of all power-down protection data blocks, a control register and a parameter register are almost equal, so as to efficiently prolonge the service life of the power-down protection date buffer memory in the smart card and enhance the fault tolerance of the power-down protection data buffer memory.

The invention discloses a character string retrieval method and system. The method comprises the following steps: retrieval information input by a user is received; characters of a character string in the retrieval information are converted into Pinyin one by one, and the similar pronunciation collection of the characters is determined; the Pinyin of the characters and similar pronunciation in the similar pronunciation collection are input into a multi-way prefix tree for retrieval; when a node matched with the Pinyin or the similar pronunciation is retrieved, the node is recorded in the state of activation, the activation track is recorded, and after the Pinyin and the similar pronunciation of the next character enter the multi-way prefix tree, all the nodes in the state of activation are continuously retrieved till the terminal node is retrieved; keyword information stored by the terminal node on the activation track is acquired; the keyword information serves as the retrieval result to be shown to the user. Through utilizing the method, the retrieval performance can be improved under the fault-tolerant capability, and the calculation and resource occupation rate are reduced.

The invention relates to a storage resource management method based on storage medium types and weighting quotas. The method comprises the steps of mounting of storage apparatuses and user space file systems and distribution of reading-writing requests, wherein weighting distribution characteristics are imported into a Weighting Jump algorithm adopted in distribution of reading-writing requests, so that high calculating speed, stateless scheduling and extremely low memory consumption are achieved. The method is implemented by employing a method similar to jump in probability proposed by John Lamping and Eric Veach of Google. The method can guarantee that the distribution of storage resources complies with set weights at the level of probability, minimize standard error and achieve lower time complexity and memory consumption than a resource management system Yarn of an original Hadoop cluster. The method solves the problem of low efficiency in search directory polling by a disk resource distribution algorithm achieved in the conventional resource management system Yarn, has extendibility and can minimize movement of original data in probability during extension.

The invention discloses an electro-hydraulic steering gear with a redundancy motor for high-class automatic drive. The electro-hydraulic steering gear comprises a hydraulic power assisted steering gear and a double-motor servo steering device, wherein a first servo motor and a second servo motor of the double-motor servo steering device are connected in parallel and are arranged on the double-motor servo steering device; a first control unit and a second control unit are both in communication connection with a controller; a worm gear is in transmission connection with the first servo motor andthe second servo motor; the worm gear is in matching connection with an output shaft. The electro-hydraulic steering gear with the redundancy motor for high-class automatic drive meets steering function requirements of driver driving, assisted driving and unmanned driving of a vehicle, single / double motor assistance is controlled according to torque and corner information acquired by the controller, and steering functions can be successfully completed in unmanned driving / assisted driving modes. The fault tolerance of a vehicle steering system can be ensured, and the security of the system canbe improved.

The invention discloses an adjustment method of heterogeneous wireless sensor network nodes based on multiple covering. Parameter adaptive and self-regulation binary difference algorithm is adopted, multiple covering is performed to hot spot regions where monitoring targets appear frequently in situations that heterogeneous distribution of the monitoring targets, isomerism of scheduling node perceived radiuses, energy and work period consumed energy are taken into account, and basic covering are kept for other regions, the monitoring quality of the targets is effectively improved, the quantity of active nodes and the fault tolerance of a monitoring network are simultaneously reduced, and the energy consumption of the nodes is reduced. The method is based on the binary difference algorithm to optimize the node state, simultaneously adopts a periodic interception / sleeping mechanism and a sleep wake up mechanism, ensures that heterogeneous nodes can excellently accomplish detection task in monitoring occasions where targets are not uniformly distributed, and simultaneously prolongs the network life cycle and reduces the network energy consumption.

The invention provides a big data technology-based electric power fee controlling method and system so as to solve problems of low storage capability, low calculation performance and poor system stability of a conventional electric power fee controlling system in big data quantity conditions. The big data technology-based electric power fee controlling method and system specifically comprises the following steps: 1, a big quantity of data is written in, searched and updated via distributed storage technologies; 2, a distributed internal storage calculation engine is used for data storage, verification and calculation in a whole fee calculation process; 3, a distributed file system, clustering resource scheduling and big data clusters are used as a basic framework, and physical nodes of the system can be dynamically expanded and removed. The big data technology-based electric power fee controlling method and system can provide mass data storage capability and high performance data calculating and analyzing capability, horizontal expansion capability of the fee controlling system can be increased, hardware cost can be lowered, fault tolerating capability of the system can be improved, fee control calculation stability can be improved, and application of big data technologies to electric power fee control can be forcefully supported.

The invention relates to a method and a system for processing poll information, which belongs to the method and the system for processing the poll information. The invention aims to provide the method and the system for processing the poll information, which can correct invalid votes and can improve the reliability and the fault tolerance. The method comprises the following steps of: determining vote format and mode, storing electronic information on the format and the mode, and printing votes according to the electronic information; acquiring images of the printed votes, comparing the imageswith the stored electronic information for recognition and control; and generating candidate vote-getting data, replacing candidate data and invalid vote data respectively, and processing the data, wherein the invalid vote data is audited and corrected, and the correctable candidate vote-getting data and replacing candidate data are corrected to obtain the final result. The system comprises a data base server, and a ballot box working station, a replacing candidate working station, an invalid vote auditing working station, an election main control working station which are connected with the data base server respectively, wherein the data base server stores vote mode data, and a vote image acquisition device is arranged in the ballot box.

The present application provides a distributed test method and apparatus based on load balancing. The invention relates to the communication field and is applied to LVS. The method comprises the following steps: after receiving the test request sent by the terminal equipment, determining the number of test requests that can be processed by each target proxy node according to the total number of test requests and the preset scheduling weight value of the target proxy node satisfying the preset health condition; selecting a corresponding target number of test requests for each target proxy nodefrom the received test requests and sending the corresponding target proxy node; after receiving the test result returned by the target proxy node in response to the test request, transmitting the test result to the terminal device. In this way, the problem of uneven distribution of test request resources of the agent node can be alleviated under the condition that the original number of test requests is guaranteed to be processed by the target proxy node which satisfies the preset health condition by assigning preset scheduling weights to the test requests.

The invention relates to a method for realizing off-line reading files in an SAN (Storage Area Networking) shared file system. The method comprises the steps of opening a file, obtaining metadata, reading the file and ending file-reading, wherein the step of obtaining the metadata comprises a sub-step of detecting whether an original record exists, a sub-step of detecting the metadata validation, a sub-step of opening up a storage space; a sub-step of selecting and processing and a sub-step of obtaining all the metadata. In the invention, the fact that a client side also keeps a metadata backup locally is used, and the accordance and effectiveness of the metadata are guaranteed through a synchronized method, therefore, when a metadata server or an LAN (local area network) breaks down, a client server can continue to read files normally according to the local metadata backup. The method in the invention is adopted to realize the function that the client server can also continue to read SAN shared files according to the local backup metadata after the metadata server stops working.

The invention discloses a black-box fault injection method, systems, a medium and equipment. The injection method includes the following steps: tracking service call paths of software under testing (SUT); generating or perfecting a corresponding service system structure graph according to the service call paths; obtaining a fault scene set, which is to be used for testing, by recursive reasoning according to the service system structure graph; and carrying out fault injection according to the fault scene set, if the software under testing can be destroyed, determining that an effective fault scene is found, and otherwise, returning to continuous tracking of all the call paths once it is found that a certain fault scene cannot destroy the software under testing. According to the method, fault tolerance evaluation can be highly efficiently carried out on a large-scale computer platform, and a set of all effective fault scenes can be found without missing.

The invention belongs to the technical field of underwater positioning, and discloses an underwater integrated navigation information fusion method and system, and an autonomous underwater vehicle; the method comprises the steps: obtaining the posture, speed and position related information of a carrier through an SINS navigation technology; obtaining external speed information by using a DVL navigation technology; acquiring external position information by using an AST navigation technology; fusing the acquired attitude, speed, position related information, external speed information and external position information of the carrier by using a filtering algorithm, and outputting fused navigation information. According to the invention, long-endurance and long-voyage navigation positioningcan be realized, and errors in the positioning process can be corrected and inhibited. The method can effectively suppress the influence of the observation outliers on the filtering result, and has better data stability. Meanwhile, a test result preliminarily shows that compared with a TFKF algorithm, the FRKF algorithm provided by the invention has higher integrated navigation precision and stability in a non-Gaussian environment.

The invention relates to a safety control method and device and a storage medium. The safety control method and device and the storage medium are applied to a vehicle in an automatic driving mode. Thesafety control method comprises the steps of obtaining indication information of an abnormal behavior of a vehicle, wherein the indication information comprises identification information of the abnormal behavior; determining the grade of the abnormal behavior according to the identification information; and executing abnormal processing operation corresponding to the grade of the abnormal behavior, wherein the abnormal behavior is graded according to the serious degree of the vehicle running safety. According to the safety control method in the technical scheme, priority processing of the serious abnormal behavior is guaranteed, and the automatic driving safety is enhanced.

The invention discloses dual-redundancy computer equipment based on a domestic Loongson platform. The equipment comprises main computer equipment and standby computer equipment which are deployed on adomestic Loongson platform and recorded as a host and a standby respectively, a main and standby synchronization module, a main and standby switching module and an equipment cabinet management module, wherein each computer equipment comprises a BMC module and a measurement and control CPU module, the BMC module is provided with a CAN communication interface and a GPIO communication interface. According to the invention, a dual-redundancy hot backup method is utilized to ensure that the equipment can effectively and normally operate for a long time, and a health monitoring module is provided,so that the platform crash probability caused by instability of the equipment can be greatly reduced, and a stable and reliable operation platform is effectively provided for a domestic Loongson module.

The invention provides a transmission control method and a system of CAN information. A treatment strategy that a CAN information frame is not responded by a receive controller is confirmed through a first timer, a second timer, and the states of a first time threshold of the first timer and a second time threshold of the second timer. The problem that a transmission controller transmits the CAN information frame and the receive controller has no act. Thus, network communication efficiency is improved, and network system stability and traffic safety are ensured.

The invention discloses an electromagnetic integrated type energy feedback suspension actuator of an electric vehicle and a control method of the electromagnetic integrated type energy feedback suspension actuator of the electric vehicle. The suspension actuator comprises a magnetorheological damper, a linear motor and an actuator monitoring device, wherein the magnetorheological damper comprisesa cylinder, a magnetorheological fluid, an inner chamber upper partition board and an inner chamber lower partition board, wherein the linear motor comprises a linear motor shell, a secondary part anda primary part; the actuator monitoring device comprises an actuator controller. The control method of the suspension actuator comprises the following steps: 1, data acquisition and transmission; 2,control of the suspension actuator by the actuator controller in an energy feedback mode, a primary damping mode, a secondary damping mode and an active mode according to sample data. The suspension actuator is reasonable in design, multi-mode switching of a suspension system can be realized according to different road conditions of vehicle traveling, energy waste of the electric vehicle is reduced, driving mileage of the electric vehicle can be increased, and the promotion and application values are high.