84results about How to "Avoid risk of error" patented technology

The invention discloses an interconnection detection cloud platform facing electric vehicle charging facilities. The platform is used for a charging facility network access detection, engineering acceptance detection, a business expansion operation detection, a transportation and maintenance detection, compatibility and consistency tests of charging facilities and an electric vehicle and the like;the cloud platform is composed of a detection management center, a knowledge expert database, a data analysis center and a service data interface, and are used for providing support of a detection standard, equipment state analysis, fault analysis and the like for on-site detection personnel, and providing technical support for an industry management equipment platform account, an electric vehicle characteristic library, a charging equipment detection library, a charging equipment fault library, a detection method and the detection standard, and providing professional charging facility detection statistic analysis reports for the national power grid, the government, charging operators and suppliers, and providing a device fault detection report and a diagnosis report interface for the charging operators.

The invention discloses a full-automatic debugging method of a microcomputer relay protection device and a full-automatic debugging system thereof. A test scheme matched with the tested microcomputer relay protection device is selected through identification code matching, and read-write testing, analog quantity testing, switching quantity testing and protection motion testing are performed according to the test scheme so that full-automatic relay protection test verification is realized. With application of the method that automatic quantity adding replaces manual operation of tester quantity adding, labor cost and time cost consumed by manual wiring can be reduced, the risk of error caused by repeated manual operation can be avoided, the accuracy of test data can be guaranteed, real-time fault analysis can be performed according to the test data and the test result can be timely fed back so that test result generation efficiency and reliability can be enhanced.

The motor vehicle seat comprises a seat proper and a seat back. The seat is caused to go from a passenger position to a first load position by causing the seat proper to pivot through 90° about a horizontal axis close to its front edge, and by causing the seat back to pivot through 90° about a horizontal axis close to its bottom edge. The seat back thus comes to occupy the space that is occupied by the seat proper when it is in the passenger position. The seat is caused to go from the first load position to a second load position by causing the seat proper to pivot through a further 90° about its horizontal axis. The seat is caused to go from the passenger position to the first load position, and then from the first load position to the second load position, by actuating a single handle.

The present invention provides a vehicle program updating method applied to a terminal and a monitoring system server, and further provides a vehicle program updating system combined by a terminal anda monitoring system server, so that the vehicle program updating reliability and accuracy can be ensured and the vehicle management and control effectiveness can be improved. The vehicle program updating method applied to the terminal comprises the steps of: sending a request for updating the vehicle program version to a monitoring system server by the terminal; receiving feedback information returned by the monitoring system server according to the request by the terminal, determining whether the vehicle program version updating is performed for the target vehicle or not according to the feedback information, and determining target version information; and if it is determined that the target vehicle is required to perform vehicle program version updating according to the feedback information, performing updating of the vehicle program version of the target vehicle according to the target version information by the terminal.

The present invention relates to a method in a cellular communication system, for avoiding errors in a HARQ process, wherein an NDI flag is used both for indicating either semi-persistent scheduling, SPS, activation or SPS retransmissions, and also for indicating, by toggling of the flag, a new transmission in dynamic scheduling mode. The method comprises the steps of: receiving, in a scheduling message, an indication that dynamically scheduled transmission will take place; and if a semi persistent resource has occurred for the same HARQ process since a previously received indication for dynamically scheduled transmission, then considering the NDI flag to be toggled regardless of the value of the NDI flag. Thus, if the condition is fulfilled, a UE will always regard the NDI flag as indicating or requesting a new data transmission.

The invention discloses an emergency plan auxiliary management system. The embodiment of the invention provides an emergency plane mobile terminal, and belongs to the emergency communication management field. The mobile terminal includes: a linkage module, an acquisition module and a responding module, wherein the linkage module is used for sending a danger report to an emergency command center when the dangerous situation is discovered and sending an acquisition instruction to the acquisition module; the acquisition module collects the scene images of the dangerous scene and the location of the dangerous scene, and sends the scene images and the location to the emergency command center according to the received acquisition instruction sent from the linkage module; and the responding module is used to receive an emergency plan task instruction issued by the emergency command center and give a sound and light alarm after the emergency command center determines that the dangerous situation occurs.

A method suitable for MEMS IMU repeated multiple calibrating includes the following steps: (1) updating an original correction factor: namely resetting the MEMUS IMUS to the factory defaults; (2) repeatedly calibrating MEMS IMU, namely recalibrating a gyro and an accelerometer respectively; (3) obtaining a new correction factor, namely calculating a new factor for correcting the calibrated factors of the gyro and the accelerometer, and writing the new factor in a binary file; (4) updating the new correction factor: namely writing the binary file of the new factor included in an MEMS IMU updating in the flash memory; (5) and reading the new correction factor in the flash memory and correcting the calibrated parameters, so as to obtain more correct angle speed and acceleration output after the MEMS IMU is electrified. The method solves the problem of the conventional method that the embedded software needs to be corrected before repeated calibrating, reduces the dependence on the software, is simple and convenient, and is suitable for the repeated calibration of the batch MEMS IMU product.

The invention relates to an SRAM type FPGA double-port RAM single event upset prevention reinforcing device for a spacecraft, and belongs to the technical field of aerospace electronics. The single event upset prevention reinforcing device comprises a double-port RAM module and an arbitration refresher. The double-port RAM module comprises two sets of completely independent ports which are a firstport and a second port respectively, and each port comprises a data line, an address line, a read enable control line and a write enable control line. The user data is written into and read out of the double-port RAM module through the first port. The arbitration refresher reads the user data stored in the double-port RAM module through the second port and then writes the user data into the double-port RAM again under the condition that the user access data is not influenced, so that the double-port RAM is refreshed. According to the device, the problem of single event upset prevention reinforcement of the BlockRAM in the spacecraft SRAM type FPGA is solved.

The invention relates to data processing, and provides a script generation method and device, electronic equipment and a storage medium. The method can determine a trigger terminal of a script generation request, extract a demand object, detect whether the demand object is stored in a database or not, determine a business process when the demand object does not exist in the database, screen out aconfiguration template corresponding to the business process from a configuration file library, obtain an object code of the demand object, determine a target placeholder of the demand object, replacethe target placeholder with the object code, generate a script file, generate a script compressed package when there are multiple script files, generate a script file name, and respond to the scriptgeneration request with the script file name. According to the invention, the generation efficiency of the script file is improved, the problem of missing writing of the script file is avoided, and the maintenance of the trigger terminal is facilitated. In addition, the invention also relates to a blockchain technology, and the script file can be stored in a blockchain.

The invention discloses a vehicle type identification method and device, computer equipment and a storage medium. The method comprises the following steps: if a to-be-identified vehicle picture is detected and the to-be-identified vehicle picture comprises a vehicle interior part, obtaining a vehicle model according to a frame number in the to-be-identified vehicle picture; identifying and obtaining each vehicle interior part in the to-be-identified vehicle picture to obtain a corresponding vehicle interior part sequence; taking a vehicle interior part sequence corresponding to the vehicle picture to be identified as input of a pre-trained convolutional neural network model to obtain a vehicle configuration level corresponding to the vehicle picture to be identified; and obtaining unique vehicle type information corresponding to the to-be-identified vehicle picture according to the vehicle type and the vehicle configuration level corresponding to the to-be-identified vehicle picture. According to the method, high-efficiency automatic identification and input of the vehicle type are realized, and the risk of data errors caused by manual input of vehicle type information is avoided.

The invention provides a quick-dry moisture-absorption knitted fabric and a preparation method thereof. The preparation method comprises the steps that composite Siro yarns are subjected to weft knitting to obtain a knitted fabric; the knitted fabric is subjected to after-finish to obtain the quick-dry moisture-absorption knitted fabric, wherein the composite Siro yarns are prepared in a mode thathydrophilic fibers and water-repellency fibers are singly spun into thick yarns respectively, and then the hydrophilic thick yarns and the water-repellency thick yarns are subjected to blending and knitting. The invention further provides the knitted fabric prepared by the preparation method. The knitted fabric has a good quick-dry moisture-absorption function.

The invention discloses a test method and a test system. The test method comprises the steps of obtaining first identification information of a to-be-tested product when the to-be-tested product movesto a first station; sending the first identification information to a target server; when the to-be-tested product moves to a second station, detecting whether the target server successfully receivesthe first identification information or not; and determining whether to allow the to-be-tested product to be warehoused or not according to whether the target server successfully receives the first identification information or not. The uploading state of the first identification information can be automatically recognized for each terminal device in a workshop system, manual startup verificationis not needed, the error risk is eradicated, and manpower is saved.

The invention discloses an intelligent ODN identification system and device. The device comprises an identification device, an optical fiber connector and an optical fiber joint identification device, wherein the identification device comprises an identification light module, used for generating identification light, outputting the identification light to an optical coupler, and outputting a reliable connection indication signal after receiving the identification light fed back by the optical coupler; and the optical coupler, used for optically coupling the identification light output by the identification light module to an optical port and outputting the identification light to a receiving end by a connected optical fiber jumper, and feeding back the identification light sent by the receiving end by the optical fiber jumper to the identification light module. In the device disclosed by the invention, the identification device is applied to the intelligent ODN identification system, so as to realize the efficient identification of the optical fiber jumper by the identification light without changing the original cable diameter.

The invention discloses a distributed job scheduling method, belongs to the technical field of job scheduling under a distributed task scheduling framework, and solves the problem that horizontal capacity expansion of jobs is sacrificed due to the fact that only one fragment exists in dependent jobs in the prior art. The method comprises the following steps: fragmenting each job according to an application scene to obtain job fragments; wherein each job has a field used for describing dependent jobs of the job, if the job is not an initial job, related information of the dependent jobs is configured in the fields, all JAVA dependent jobs are obtained after configuration, and all the JAVA dependent jobs comprise the initial job and the JAVA dependent jobs configured with the fields; and based on the job fragments and all JAVA dependent jobs, periodically triggering each JAVA dependent job to execute logic judgment, and executing or not executing the jobs according to a judgment result until all jobs in the whole process are normally completed. The method is used for distributed job scheduling.

An embodiment of the invention provides a motion prescription generating device and a method, wherein the motion prescription generating device comprises the components of an acquiring module which isused for acquiring medical record text information of a user and determines a disease that corresponds with the medical record text information and a latent disease that is associated with the disease; a determining module which determines a risk grade of the latent disease that is induced by the disease of the user based on the medical record text information; and a generating module which is used for generating the motion prescription that matches the risk grade. The motion prescription generating device and the method improve motion prescription generating efficiency.

The invention discloses a bus control parameter instruction intelligent processing system for a space remote sensing camera. Instruction receiving is carried out through two or more parameter instructions with correlation constraints sent by the system communication bus, storage, intelligent judgment and execution is performed based on instruction type judgment and decoding & correlation constraint judgment, and an actual execution instruction state is returned to the bus. The instruction receiving and telemetering sending module completes bus instruction data receiving and telemetering data sending and generates a bus reading address; the time sequence control module generates read and write enable signals exchanged with bus data and provides work control signals for other modules; the bus control parameter instruction intelligent processing system can sequentially respond to a plurality of complex instructions in real time, and has complete system instruction judgment, system execution and system execution feedback functions. The system can be executed according to the instruction type judgment condition and the correlation constraint judgment condition. The current instruction is intelligently judged and executed in real time, and an intelligent processing result can be fed back.