16results about How to "Improve upload efficiency" patented technology

The invention provides a general semiconductor test data full life cycle management system, and the system comprises a test source data access module which is used for uploading a source test file in a test machine to the system; the full test data analysis and standard model conversion module is used for converting the uploaded source test file into a test file in a standard data format and transmitting the test file to the multi-dimensional KPI atomic model operation and persistent storage module; the multi-dimensional KPI atomic model operation and persistence storage module is used for calculating a multi-dimensional KPI atomic result according to the data in the test file in the standard data format and storing the multi-dimensional KPI atomic result to a persistence layer database; and the unified service output module is used for receiving a user query request, performing aggregation calculation on the multi-dimensional KPI atomic result in the persistent layer database according to the user query request, and returning a KPI result meeting the user query request. The system can improve the utilization efficiency of semiconductor test data and reduce the operation cost.

The invention discloses a state response method and device for a low-power-consumption wireless sensor, and the method comprises the steps: enabling a wireless sensor node to transmit a state response data frame at different response priorities based on the state change of the wireless sensor node; comprising the following steps: after being awakened by wireless excitation, a sensor node receives a synchronous group reading signal sent by a wireless group reading host in a high-frequency synchronous channel, and judges whether priority response is necessary or not according to a state hopping condition corresponding to a state priority identifier in the synchronous group reading signal; and when and only when a state hopping condition is met, calculating a response priority selection response mode parameter according to the state priority identifier, and sending a state response data frame containing a sensing state variable in a specified response channel time slot. According to the invention, the wireless sensor node obtains the response priority and the corresponding response channel time slot based on the state hopping, thereby reducing unnecessary group reading response and response, reducing group reading response power consumption, avoiding transient response channel time slot conflict, and improving response data uploading success rate.

The invention discloses a gas leakage detection method of a gas extraction system based on a laser radar, relates to the technical field of gas extraction, and solves the technical problem of delayed processing of high-risk key data caused by disordered uploading of data by an existing gas extraction system. Comprising the following steps: 1, obtaining regional pipeline data of a monitoring region corresponding to each laser radar, and generating a risk coefficient corresponding to the monitoring region according to the regional pipeline data; 2, grouping the monitoring areas according to the risk coefficients of the monitoring areas to obtain a plurality of monitoring area groups; 3, obtaining the maximum risk coefficient in each monitoring area in each monitoring area group, and obtaining the real-time monitoring data of each monitoring area; uploading the monitoring data according to a descending order of the risk coefficients; 4, analyzing the monitoring data to obtain the detection state of the corresponding pipeline; and the condition of data delay processing in a high-risk area is reduced.

The present application discloses a file uploading method, an electronic device and a computer-readable medium. The method comprises the following steps: determining a check value and a set of fragment summary values ​​of a file to be uploaded according to a preset check value determination method and a random data range pre-agreed with a server; sending a file start upload request message carrying the check value and the set of fragment summary values ​​to the server; uploading the file to be uploaded according to an upload task identifier and a collision detection condition carried in the incomplete upload notification message when an incomplete upload notification message sent by the server is received; parsing the complete upload notification message to obtain file storage information when a complete upload notification message sent by the server is received; the complete upload notification message is sent by the server when it is determined that a file with a check value exists locally and the set of fragment summary values ​​determined based on the file matches the set of fragment summary values ​​carried in the file start upload request message.

The invention relates to a data transmission method and system of a wireless sensor network. The method comprises the steps that a wireless sensor in the wireless sensor network judges whether the data volume of uploading data to be uploaded is larger than or equal to a preset data volume threshold value or not; under the condition that the data volume of the data is greater than or equal to a data volume threshold value, the wireless sensor splits the uploaded data into at least two data packets, and uploads the at least two data packets through the at least two first radio frequency units respectively; and a wireless gateway in the wireless sensor network receives the at least two data packets through the at least two second radio frequency units respectively, and combines the at least two data packets to obtain uploaded data. Through improvement of a data transmission mode and hardware optimization design, transmission of a large amount of data is realized, and the application requirement of transmission of the large amount of data is met.

The invention discloses a data acquisition method and device, a nonvolatile storage medium and computer equipment. The method comprises the following steps: acquiring topological information of a target station area at the current hourly moment; judging whether the topological information at the current hourly moment is changed or not compared with the topological information at the previous hourly moment; under the condition that the topological information at the current hourly moment is not changed compared with the topological information at the previous hourly moment, collecting electric power data of medium and low voltage users in the target transformer area at the current hourly moment; determining the line loss rate of the target transformer area based on the power data of the low-voltage users in the target transformer area and the topological information of the current hourly moment; judging whether the line loss rate is within a preset line loss range or not; and under the condition that the line loss rate is within the preset line loss range, uploading the power data of the low-voltage user. According to the invention, the technical problems that time-sharing line loss calculation cannot be realized and the uploading efficiency is relatively low due to excessive data volume in the transformer area are solved.

The invention provides a duplicated data processing method and device, a storage medium and computer equipment, and the method comprises the steps: obtaining a data block of a target object uploaded by a client at a time, the data block being a part of object data of the target object; an original identifier of initial deduplication metadata of the data block is calculated, and the initial deduplication metadata is used for representing whether the data block exists in the data pool or not; under the condition that it is determined that initial de-duplication metadata exists in the index pool according to the original identifier, it is determined that the data blocks are duplicated data, the data blocks are not stored in the data pool any more, and attribute information of the data blocks is updated; the index pool is used for storing initial de-duplication metadata, and the data pool is used for storing object data of the target object. The uploading efficiency of the data object is improved, repeated data blocks are prevented from being written into the data pool, the storage space of the data pool is saved, and then the utilization rate of the storage space in the storage system is improved.

A synchronously integrated sample photo taking method, system, medium and device relate to the field of mobile application development technology. The method comprises: in response to a user's photo taking click operation, scanning orders in a preset area to obtain a scan result; generating order information based on the scan result, taking a photo of sample products in a preset area according to the order information to obtain a target sample image; in response to a user's upload click operation, uploading the order information and the corresponding target sample image to an MES system. The technical solution provided by the present application is implemented, and the efficiency of uploading sample images is improved by automatically uploading the scanned order to the MES system after the photo is taken.

The present invention relates to the technical field of excavator data information transmission, and specifically, to an excavator Tbox device data frame reporting and parsing algorithm, comprising the following steps: S1: the Tbox device accesses a vehicle networking gateway platform through a fixed external network mapping address, and sends the collected data information to the vehicle networking gateway platform; S2: the vehicle networking gateway platform determines whether the data format uploaded by the Tbox device meets the requirements through the data upload format, wherein data that does not meet the format requirements is rejected; in summary, the beneficial effects of the present invention are: the present invention simplifies the data stream upload process, improves the upload efficiency, and effectively reduces the failure rate, specifies the device data upload format during the upload, prevents malicious device data from being uploaded, and improves data authenticity, the byte stream parsing method improves the data parsing accuracy, reduces the network interaction process, and facilitates timely viewing of the vehicle operation status and timely troubleshooting.

The invention provides a TBox log uploading method and system based on the number of dynamically configured fragments, and belongs to the technical field of the Internet of Vehicles, and the method comprises the steps: responding to a TBox log uploading instruction, obtaining network parameters of an environment where a target vehicle is located, which are collected through an operation system network interface, and obtaining equipment operation parameters collected through a TBox hardware monitoring interface; calculating an optimal fragment number according to the network parameters and the equipment operation parameters; and obtaining a corresponding number of pre-signature addresses according to the optimal fragment number, cutting the TBox log file into a corresponding number of fragments according to the optimal fragment number, and uploading the fragments to a cloud according to the pre-signature addresses. According to the method and the device, the log data can be uploaded with the optimal fragment size, so that network resources are utilized to the maximum extent, and the time required for uploading is shortened. In addition, a plurality of data blocks are allowed to be processed in parallel through fragmentation uploading, the overall uploading speed is further increased, and the advantage is more obvious especially in a high-speed network environment.

The invention relates to the technical field of image processing, in particular to an image configuration method and device and a storage medium. Comprising the steps of determining a to-be-configured item identifier in response to an operation of triggering a to-be-configured item of a to-be-configured image in a target application page by a user; when it is determined that an image classification mode corresponding to the to-be-configured item is a configuration item classification mode according to the to-be-configured item identifier and a corresponding relation between the configuration item identifier and the image classification mode, traversing and searching at least one historical image from a preset database according to the to-be-configured item identifier; displaying at least one historical image; and in response to an operation of triggering a target historical image in the at least one historical image by a user, taking the target historical image as an image of the to-be-configured item, and applying the target historical image to the to-be-configured item. The embodiment of the invention is used for solving the problem of resource waste caused by uploading of repeated images.

A test data uploading method, device and system are disclosed. Based on a first test vector, a corresponding test board card is controlled to perform a first test operation, and the first test operation includes writing test output data corresponding to the first test operation into a first storage area of a memory of the test board card. During the execution of the first test operation by each test board card, in response to receiving a first semaphore, test output data in a second storage area of the memory of the test board card is synchronously written into shared memory, and the test output data in the second storage area is test output data corresponding to a second test operation performed before the first test operation. In response to the test output data corresponding to the second test operation being successfully written into the shared memory, a second semaphore is sent to an upper computer, and the upper computer reads the test output data corresponding to the second test operation from the shared memory according to the second semaphore, so that test data uploading is realized during the test process, and the data uploading efficiency is improved.

The invention provides a display device and a data uploading method, and the method comprises the steps: obtaining interaction data in response to an interaction instruction input by a user; performing classification on the interaction data to obtain an interaction data set with a category label, the category label being used for representing a data source of the interaction data; and uploading target interaction bit data of the interaction data set to the server to obtain an uploading result fed back by the server, if the uploading result is uploading failure, recording a first uploading frequency of the target interaction data, and uploading interaction data determined according to a multiple relationship between the first uploading frequency and a failure probability factor to the server. When the data uploading fails, the uploading process of the current interaction data is skipped, and the other interaction data to be uploaded currently is determined through the multiple relationship between the first uploading times and the failure probability factor, so that data uploading congestion is avoided, and the data uploading efficiency is improved.

The invention relates to a file transmission delay optimization method and system, and the method comprises the steps: S1, carrying out the real-time fragmentation processing of a file when the file is uploaded, and carrying out the transmission and uploading of the fragmentation according to a network condition; s2, when the file is transmitted to the last two fragments, inquiring and verifying the file size condition of the last two fragments, and judging the current network condition; s3, when the size of the last fragment exceeds 50% of the size of the last second fragment or the current network condition is not smooth, independently uploading the last two fragments; and S4, when the size of the last fragment does not exceed 50% of the size of the last second fragment and the current network condition is relatively stable or smooth, combining the last fragment and the last second fragment into one fragment and uploading the fragment. According to the method, the long-tail effect can be effectively reduced, and the overall large file fragment uploading efficiency is improved.

The invention discloses a multi-point data acquisition method and system and a storage medium. Comprising the steps that data are collected based on sensors arranged at multiple preset positions, the collected data are converted into two-dimensional codes, and the two-dimensional codes are periodically refreshed and displayed on an electronic ink screen carried by a sensor body; the PTZ camera identifies the two-dimensional code on each sensor by adopting a preset cruise route to obtain analysis data; and the PTZ camera sends the analysis data to a cloud server. According to the invention, the camera uploads the data collected by the sensor to the cloud server, so that the data uploading efficiency is improved, and the data transmission cost is reduced. The pan-tilt camera triggers the sensor data to be periodically refreshed through the synchronization time and is displayed on the ink screen, so that the operation cost of the sensor is reduced, and the accuracy of sensor data acquisition is also improved; the non-contact interaction between the PTZ camera and the multi-point sensor enhances the flexibility of scheme networking.

The embodiment of the invention relates to the technical field of vehicle signal processing, and discloses a vehicle CAN signal data processing method and device and a computer readable storage medium, and the method comprises the steps: recognizing the type of a vehicle CAN signal; matching the categories in a preset signal period database, and determining an uploading period of the vehicle CAN signal based on a matching result; wherein the signal period database comprises a plurality of signal period sample data; performing signal processing on each vehicle CAN signal in the vehicle state data to generate a first signal corresponding to each vehicle CAN signal in a respective uploading period; wherein each vehicle CAN signal is correspondingly configured with an uploading period; and uploading the corresponding first signal to a cloud server according to the uploading period corresponding to each signal. By applying the technical scheme of the invention, partition period processing can be carried out based on different vehicle CAN signal categories, and the processing efficiency of the vehicle CAN signals is improved.