70 results about "Invalid Data" patented technology

Embodiments of the present application disclose a touch data transmission and acquisition method and device, equipment and a storage medium. In the case of obtaining an initial data stream, a first target data in the initial data stream is replaced by a preset value to obtain a target data stream. The initial data stream is one frame of data generated according to a touch operation on a touch screen of an electronic device, and the first target data is data whose absolute value in the target data stream is within a first value interval. The target data stream is compressed to obtain compressed data, and the compressed data includes first compressed data for indicating a plurality of continuous data in the target data stream whose values are the preset value. The compressed data is sent to an operating system of the electronic device. According to the embodiments of the present application, invalid data is discarded and valid data is retained by means of lossy data compression, so as to reduce the data amount of touch screen change data to be transmitted, and further reduce data transmission time and transmission power consumption.

The application relates to the technical field of quantifiable test indexes of new energy vehicles, and particularly discloses a method for constructing a typical road spectrum working condition based on a genetic algorithm and new energy platform data, data acquisition, invalid data section elimination rules including static data section elimination and abnormal continuous duration elimination; data abnormal value identification rules: speed abnormal values are defined and a correction method is set; data smoothing and denoising rules: a median filter is used to preliminarily denoise a speed sequence; characteristic parameter calculation: including kinematic characteristic parameters and new energy light truck characteristic parameters; construction of an initial section library; multi-objective genetic algorithm optimization; road spectrum synthesis and post-processing: optimal sections filtered by the algorithm are spliced, and smoothing processing is carried out to ensure the continuity of a speed curve; multi-objective genetic algorithm selection: selecting an NSGA-III algorithm as a multi-genetic objective algorithm condition; the application realizes rapid construction and iteration of the road spectrum, and is high in efficiency.

The present application belongs to the field of medical resource space layout optimization, and is a fever outpatient clinic space layout optimization method, comprising the following steps: S1, collecting and obtaining basic data and supplementing multi-source dynamic and constraint data; S2, preprocessing the data, eliminating invalid data and standardizing and unifying various types of data; S3, constructing a Thiessen polygon and performing medical preference coupling analysis, dividing the basic service range and correcting it, calculating the supply-demand ratio by time period and demarcating the dynamic pressure area; S4, setting up a multi-dimensional basic buffer zone and dynamically optimizing the accessibility, superimposing a multi-factor screening area to be selected; S5, forming a comprehensive optimization scheme through stock, increment and operation strategy; S6, after the scheme is verified by simulation, a monitoring feedback mechanism is established to realize dynamic optimization and adjustment.

Embodiments of the present application disclose a data processing method and device, equipment, storage medium and computer program product; a project data packet in local storage can be acquired, and invalid data to be repaired and valid data cached at a historical time are determined according to the project data packet; an invalid access rate of the invalid data to be repaired is determined according to data access records cached at the historical time, and an effective access rate of the valid data is determined; a repair gain value at a current time is determined according to the invalid access rate and the effective access rate; a control ratio of the invalid data to be repaired at the current time is determined according to the effective access rate and the repair gain value; and the invalid data to be repaired is repaired according to the control ratio of the invalid data to be repaired and the project data packet. In this way, the invalid data to be repaired in the cache is updated and repaired according to the control ratio, avoiding updating a large amount of data in the cache at the same time, reducing the running load of the system, effectively avoiding the phenomenon of overload, and guaranteeing the system performance.

Multiple guard rows are included in a region of memory. Accesses to the region of memory are monitored and a revolver technique using the guard rows is enabled in response to the number of accesses to the region of memory equaling or exceeding a threshold amount within a given interval of time. The guard rows are moved around the region of memory with one or more non-guard rows being situated between the guard rows. A guard row refers to a row of the region of memory that stores invalid data, whereas the one or more non-guard rows store valid data. After being moved, accesses to the region of memory are monitored and after another threshold number of accesses to the region of memory the guard rows are moved again. This process continues with the guard rows being moved, e.g., in a circular manner, through the region of memory.

Embodiments of the present disclosure relate to a communication method, a communication device, a communication system, a storage medium and a program product. The communication method can be executed by a terminal, and the method comprises: determining whether to send a delay status report (DSR) according to a first timer, wherein the first timer is different from a second timer; and the second timer is used to determine whether to discard a first data packet. In the present disclosure, the reporting of the DSR and the discarding of the data packet are performed by two different timers respectively, and do not interfere with each other, which facilitates the terminal to accurately control the reporting time and the discarding time, improves the stability of network device resource scheduling, avoids invalid data occupying resources, and maximizes resource efficiency.

The application relates to the technical field of data processing and database application, and discloses a data import method and device for data verification combined with database rules, which comprises the following steps: establishing the connection of a to-be-imported data source and a target database, obtaining metadata information and a plurality of database constraint rules; performing format standardization and invalid data cleaning on the extracted to-be-imported data; carrying out multi-dimensional verification based on the database rules, distinguishing the passed and unpassed data and marking the rule violation types; batch importing the qualified data into the target database, generating a detailed verification report for the unqualified data to feed back to the user, and supporting the correction of the data for reprocessing. In the application, full-dimensional verification is realized through deep linkage of database native rules, the data integrity and import efficiency are guaranteed through standardized preprocessing, batch import and transaction mechanism, the maintenance cost is reduced through accurate feedback and closed-loop processing, the application is suitable for a plurality of databases and data sources, and the accuracy, reliability and convenience of data import are greatly improved.

The present application relates to tower crane operation technical field, especially a kind of tower crane jacking and lowering section operation monitoring data processing storage method and system, comprising the following steps: by receiving and analyzing the data stream of each sensor source data of tower crane operation, including operation stage, load state and environmental condition, different operation stages and key action are applied to the special state change determination rule to filter, mark and selectively retain data, and operation stage, load and environmental change dynamically generate and adjust safety threshold to determine data processing mode, finally, the data after processing is organized and managed according to time sequence and is stored in batch processing mode, forms structured data set.The present application sets state change determination rule for different operation stages and key action of tower crane, only when state changes, screening and retaining monitoring data, realizing the differentiated processing of key data, reducing the occupation of invalid data repeated record to storage and processing resources.

The application discloses a channel invalid data repairing method and system for oscillation bending moment of a helicopter blade, which comprises the following steps: step 1, determining a test device damaged channel as a target channel; step 2, selecting ordered and discrete data of a test channel at the same spanwise station of a backup test blade as a base sample array, and simultaneously selecting the test channel at the same spanwise station of a main test blade and the backup test blade, and calculating a linear factor array; step 3, performing physical twin processing on the base sample array in step 2 to generate a sub-sample array, multiplying the sub-sample array by the linear factor array, performing dynamic correction on inherent deviation of the sub-sample array, obtaining a target sample array, and assigning elements of the target sample array to the target channel in sequence. The application solves the problem that, in the existing load measurement process of the helicopter blade, the test values of the oscillation bending moment of different blades are deviated, and it is difficult to apply the test values to the calculation of the dynamic response of the rotor blade.

The embodiment of the application provides a data transmission method and communication equipment, relates to the technical field of communication, and is used for reducing the power consumption of a first communication device. The method comprises the following steps: sending a first target code block corresponding to a first data code block at a first clock beat, the first target code block being obtained by performing scrambling processing on the first data code block by using a first scrambling code; the first clock beat is located in a first sending period; sending a second target code block corresponding to a second data code block at a second clock beat, the second data code block comprising invalid data, the second target code block being obtained by performing scrambling processing on the second data code block by using the first scrambling code; the second clock beat is a next clock beat of the first clock beat in the first sending period, and the code type of the first data code block is the same as that of the second data code block. When the second data code block is invalid data, the first scrambling code is used as a scrambling code corresponding to the second data code block, so that the first target code block and the second target code block after the scrambling processing are the same, and the power consumption is reduced.

This application relates to the field of artificial intelligence technology, and in particular to a data collection method, apparatus, computer device, and storage medium. The method includes: a terminal acquiring first configuration information; then, when the terminal meets a first triggering condition, sending a request to the network to acquire second configuration information sent by the network, thereby enabling measurement based on the second configuration information and recording measurement data; and then sending a report to a core network connected to the terminal, so that the core network sends the report to a server used to collect terminal model training data. This application standardizes the process of measurement data collection and data reporting, preventing over-collection of data, thus ensuring that the measurement data generated during the measurement process is valid data that meets the model training requirements, avoiding the generation of a large amount of invalid data, and thus avoiding resource waste or network congestion during the processing and transmission of invalid data.

This invention provides a method and system for dynamic traceability monitoring of the entire lifecycle of data assets, applicable to the field of data processing. This application collects management ledgers, ownership registration, transfer approvals, and compliance audit data in real time, extracting key node information such as filing, confirmation of rights, approval, and auditing. It standardizes and verifies the integrity of multi-source data, eliminating invalid data and ensuring the authenticity and traceability of operations through electronic signatures and timestamps. A traceability link graph is constructed through a management process association algorithm to reconstruct the process trajectory, ownership changes, and review nodes. A compliance quantitative assessment method is adopted, using a 95% threshold to determine the effectiveness of traceability, initiating early warnings and verifications when anomalies occur. Combined with a compliance management assessment model, it monitors the compliance with standards, corrects violations in real time and defines responsibilities, and optimizes monitoring model parameters based on data type and scenario, forming a closed-loop control system of collection, traceability, verification, and iteration.

The application discloses a memory management method and a replaceable cache strategy and system under a DDR-CXL heterogeneous memory structure, and aims at the problem that an existing memory database lacks a NUMA-aware memory management and an efficient cache mechanism under a heterogeneous memory environment.The application constructs a hierarchical memory structure composed of a DDR memory and a CXL extended memory, wherein the DDR memory serves as a cache layer, and the CXL memory serves as a large-capacity data storage layer.On this basis, a NUMA-aware memory allocator is designed to realize unified abstract management of different memory nodes and support dynamic migration of data between the DDR and the CXL memory.Meanwhile, a pluggable cache strategy management mechanism is proposed to support multiple cache replacement strategies through a unified interface, and a cache admission strategy based on access statistics is introduced to reduce invalid data migration and improve cache utilization.The application realizes decoupling of memory management and cache strategy through a plug-in framework, and can improve system performance while enhancing flexibility and scalability of the system.

An AI-based predictive maintenance method for elevators, belonging to the field of predictive elevator maintenance, first collects structured and unstructured elevator data. After filtering out invalid data and eliminating maintenance interference, a valid fault dataset is obtained. Then, a health index is calculated from five dimensions: fault level, fault frequency, running time, number of runs, and maintenance time. Weights are determined using the analytic hierarchy process (AHP) and standardized to obtain a comprehensive health score. Next, a temporal knowledge graph is constructed, and entities and relationships are embedded temporally using a TransR-T model. Subsequently, local features of the health score and the embedded features of the temporal knowledge graph are fused and input into a BiLSTM layer to capture long-term temporal dependencies. An attention mechanism is used to enhance the identification of high-risk entities, and the output is a fault type probability distribution. A Bayesian network is used to correct the fault level probability, and routine maintenance is triggered based on the correction result, maintenance priority, and health score. This invention achieves accurate predictive elevator maintenance.

This invention proposes an adaptive security monitoring method and system based on edge-cloud collaboration and artificial intelligence. The method includes: acquiring monitoring video streams from the edge side and generating a perceived availability state quantity; determining the current security monitoring operation mode based on the perceived availability state quantity at the current moment and the smoothed state quantity stored on the edge side in the previous time slice, through a preset threshold; generating a decision quality summary based on the execution quality statistics results through weighted summation; acquiring and normalizing the perceived stability statistics results to generate a perceived stability direction vector, which is then applied to the construction of the perceived availability state in the next monitoring cycle, forming a continuous adaptive closed loop. This invention can more effectively reduce invalid data interaction and bandwidth consumption, shorten the response path in critical scenarios, improve the long-term stability of the system in complex dynamic environments, and enable the security monitoring system to have stronger adaptive operation capabilities under multi-scenario deployment conditions.

This invention provides a local strip adaptive readout method for cross-shaped anodes, addressing the technical problems of existing local strip readout schemes lacking dynamic adjustment capabilities for the spatial distribution characteristics of a single event and struggling to balance flexibility and accuracy under different events. The method first determines the main response strips in the X and Y directions of the current event, then determines the effective response strips in the X and Y directions, and finally reads only the effective response strips in the X and Y directions relevant to the current event to achieve readout for a single event. This invention adaptively adjusts the range of locally effective strips to be read out based on the event response strength, strip distribution, and edge position, reducing the collection of invalid data from the source and avoiding data redundancy.

This invention discloses a closed-loop sampling data analysis and processing system for diethylzinc. In the field of data processing technology, this invention eliminates the redundant processing mode of existing technologies that involve full-scale data acquisition, transmission, and computation through a sliding window dynamic triggering mechanism. Instead, it triggers the analysis step only when the data volume within the window reaches a preset fixed amount, effectively reducing the transmission and computational load of invalid data. This fundamentally solves the core technical problem of excessively high data processing latency and inability to meet the real-time requirements of high-risk diethylzinc sampling scenarios in existing technologies. By combining hit variable statistics and effective hit rate quantification, it achieves accurate differentiation between invalid and valid data during closed-loop sampling, avoiding interference from invalid data on the anomaly identification model. This solves the core technical problem of low risk identification accuracy and susceptibility to missed or false positives in existing technologies, ensuring the safety of the sampling process and the validity of the samples.

The application provides a signal testing method, device and equipment of an I2C bus, the method comprising: determining signal quality parameters and signal timing parameters of the I2C bus based on the high level position of the SCL edge pair, the low level position of the SCL edge pair, the high level position of the SDA edge pair, the low level position of the SDA edge pair and the waveform sampling time interval; and performing signal testing on the I2C bus based on the signal quality parameters and the signal timing parameters. Through the application, a feature screening model is constructed based on the high and low level positions of the SCL and SDA edge pairs and the waveform sampling interval, invalid data is accurately removed first, the effective I2C bus signal waveform is locked, then the signal quality and timing key parameters are automatically calculated, the intelligent identification and full-process automatic testing of the I2C bus signal are realized, the testing efficiency is significantly improved, and the consistency and accuracy of the testing results are ensured.

The application belongs to the technical field of databases, and specifically discloses a multi-mode time series data processing method and system. The method comprises the following steps: establishing a row storage table and a column storage table according to a table creation request, and establishing an associated mapping relationship between the row storage table and the column storage table; receiving time series data to be inserted and extracting label data and index data, determining a target data node based on label data hash calculation, writing the label data into the row storage table, and writing the index data into a target time series data block of the column storage table; performing partition pruning and scanning on the stored time series data based on a screening condition, and generating a query result by parallel execution of split query tasks and merging of results based on cross-mode query requirements; determining the affected time series data block based on an operation request, and updating the label data and the index data or deleting invalid data according to the type of the operation request. The application can realize low-redundancy storage, high-concurrency read-write and fast query analysis of time series data.

The application discloses a database data query method and device based on a state dictionary, electronic equipment and a storage medium. Its features include: receiving a data query instruction for a target database, determining target query data corresponding to the data query instruction; performing hash calculation on the target query data according to a hash function group stored in the state dictionary to determine a query hash value of the target query data; if a target hash value identical to the query hash value exists in a hash bit array stored in the state dictionary, the data query instruction is sent to the target database for data query. The application realizes pre-query of data stored in the database, can filter data not existing in the database through the state dictionary, reduces the number of invalid data query to the database, and improves the query efficiency.

An indirectly addressable memory system and method for a storage device, comprising memory and processing circuitry, including processing circuitry for receiving read requests from a host. The processing circuitry determines to use one of a plurality of write streams to rearrange data at the memory address associated with the read request. The processing circuitry then ensures that the data is rearranged using the write streamry. The plurality of write streams include a hot write stream, a warm write stream, and a cold write stream. To ensure that the data is rearranged using the write streamry, the processing circuitry determines the write stream based on the age of the data or the amount of invalid data within the data.

The application relates to the technical field of ground source heat pump control, and discloses a full-process intelligent monitoring and energy efficiency management method for a ground source heat pump system. First, a hardware-level digital signature is generated by using a physically unclonable function unit at a data acquisition end. Then, double verification is performed, including signature-based security constraint verification and physical constraint verification based on a physical constraint set. According to the verification result, the data flow is classified into trusted data flow, invalid data flow and security alarm flow. The trusted data flow is used for real-time working condition adjustment and energy efficiency control. Meanwhile, the trusted data flow is used for long-time window cumulative analysis to analyze the long-time change of the physical characteristics of the system. When the cumulative analysis result of the model measurement deviation meets a preset condition, a dynamic physical constraint is generated, and the dynamic physical constraint is used for feedback updating of the physical constraint set. Through double verification and dynamic constraint evolution, the safety reliability and long-time operation energy efficiency of the system are improved.

The application discloses a data query method and device, electronic equipment and a storage medium, and specifically relates to the technical field of databases, and particularly relates to a data query method and device, electronic equipment and a storage medium.The method comprises the following steps: generating a relation generation tree of a to-be-optimized query statement based on a preprocessing process; determining a to-be-optimized branch with a pseudo-column keyword in the relation generation tree; and replacing a target pseudo-column filter condition of the to-be-optimized branch based on a specified condition statement to optimize the relation generation tree. Through optimization of an execution plan of a query statement, the application can reduce the amount of invalid data query, reduce the database computing resource overhead, and enhance the operation performance of the database.

This application discloses a method, apparatus, and electronic device for testing a drive motor assembly. The method includes: establishing a first multi-dimensional testing dataset for the drive motor assembly; identifying process interference features and masking invalid data in the first multi-dimensional testing dataset to obtain a second multi-dimensional testing dataset; then performing cross-validation correction on the second multi-dimensional testing dataset using a multi-parameter coupling judgment model to obtain a calibrated third multi-dimensional valid testing dataset; obtaining a fourth multi-dimensional testing dataset after deviation data compensation based on the coupling accuracy value of the drive motor assembly; and substituting the fourth multi-dimensional testing dataset into a two-dimensional feature matching model to calculate the coupling accuracy value and generate a testing report to achieve the testing of the drive motor assembly. The drive motor assembly testing apparatus and electronic device are adapted to the above-mentioned drive motor assembly testing method and can improve the accuracy of determining the overall compatibility of the motor assembly.

This invention relates to the field of data processing technology and discloses a method and system for cross-border data sharing and verification in polar scientific expeditions. The method first acquires raw data from polar scientific expeditions, then uses bidirectional data mapping rules to perform format conversion, index calibration, and initial screening of invalid data to obtain standardized data. Next, based on the sensitivity level of the standardized data, encryption is performed using hierarchical encryption rules, and cross-border transmission of the encrypted data is achieved via a polar satellite communication link. After decrypting the received encrypted data, parallel verification is performed using dual-path verification rules to obtain corresponding data verification results. Finally, combining the verification results with hierarchical access rules, corresponding access permissions are configured for the verified data, and cross-border sharing is completed. This invention enables refined and secure sharing of cross-border data from polar scientific expeditions, effectively optimizing the overall processing and application effects of cross-border data in polar scientific expeditions.

Methods, systems, and devices for metadata for indication of access authorization in a memory system are described. Some memory systems may not permit access to data stored within the memory system by a host system until the host system and corresponding access request are verified. If a host system attempts to access the memory system and is not verified, the memory system described herein may send invalid data or poisoned data back to the host system in addition to metadata that indicates that the host system was not verified to access the memory system. The metadata may include multiple bits associated with multiple candidate values. At least one value of the multiple candidate values may be reserved for indicating that an access request was denied due to a failed verification of the host system. The host system may use the metadata to improve subsequent access requests.

This invention provides a data scheduling method and neural network accelerator based on a reconfigurable computing array. The method includes: receiving a raw data stream and performing valid data detection on the raw data stream to generate a sparse mask sequence corresponding to the raw data stream. Valid data detection is used to remove invalid data from the raw data stream. Invalid data includes invalid padding data and / or zero values ​​or non-important data below a set threshold. Data scheduling is performed on the raw data stream based on the sparse mask sequence to obtain a valid data sequence in the raw data stream. The processing path of the valid data sequence on the reconfigurable computing array is determined based on the sparse mask sequence, and the valid data sequence is processed based on the processing path. This invention can eliminate computational power consumption for invalid data, reduce storage access, achieve zero-pause loading of irregular data streams, reduce inference latency, meet the high frame rate requirements of scenarios such as autonomous driving perception and real-time voice on the edge, and reduce power consumption.

The application discloses a kind of edge data real-time computing method and system based on go-streams, it is related to edge data processing technical field, it is based on streaming processing library go-streams, specific content includes: collecting edge real-time data, the collected data is decomposed, according to filter condition executes filtering, and the data target is screened out and integrated into target format, realizes data update release;Collecting edge real-time data and executing classification according to the same time requirement, then different partition processing operations are carried out according to parameter list by partition function, realize the timing release of data;By partition function, the data of update release is transmitted into specified partition and is handled to update release, the timing release logic is unchanged, and invalid data is handled.The application can analyze stream data in real time and accurately process massive high-concurrency data at one time, can quickly capture valuable information for users and distribute, realize the update release and real-time release of data.

The application is particularly a customer service operation question and answer method and system based on a knowledge graph, relates to the technical field of intelligent customer service and mobile terminal efficient data processing, and comprises: a server end dynamic high-frequency subgraph cutting and reconstruction module; a server end one-dimensional continuous memory serialization module; and a mobile terminal zero-copy mapping and local addressing engine module.In the application, the server end dynamic high-frequency subgraph cutting and one-dimensional continuous memory serialization realize mobile terminal resource optimization from a data source, effectively solve the problems of high memory occupation and large bandwidth consumption of a traditional knowledge graph customer service system, the system accurately extracts a high-frequency core FAQ subgraph through hot access statistics and dynamic cutting of a weight function, realizes cold and hot data physical isolation, only downloads lightweight core data to a mobile terminal, avoids low-frequency invalid data resource occupation, discards a high-level language object model, reorganizes a multi-dimensional scattered graph structure into a four-segment one-dimensional continuous byte array, and eliminates object header redundancy and repeated text storage.