196 results about "Data accuracy" patented technology

The present application relates to water level measurement technical field, especially a kind of for hydrological monitoring anti-silt water level measuring device, including, floating mechanism, including floating disc and the load-bearing disc of being fixed on the top surface of floating disc, the middle part of floating disc is opened with through groove along vertical direction, and through groove is provided with buoyancy measurer;Adjusting measurement mechanism, including anti-blocking component, auxiliary measurement component and first motor;And, set on the load-bearing disc above power supply control mechanism;Anti-blocking component includes first connecting ring, second connecting ring and third connecting ring from top to bottom sequentially, and first connecting ring, second connecting ring and third connecting ring are coaxially arranged from outside to inside, first connecting ring and second connecting ring are connected by first radial connecting strip along circumferential direction array arrangement, this water level measuring device can effectively avoid solid silt and affect the data of measurement, and the data accuracy of the device is good, and overall applicability is strong.

This invention relates to a method and apparatus for detecting and correcting federated learning data. The method includes: acquiring intermediate data uploaded by each participating party, the intermediate data including location information of data to be supplemented, suspicious data, and indicators related to the suspicious data; performing a global analysis based on the indicators related to the suspicious data to filter the suspicious data and determine the data to be corrected; determining a problem data matrix based on the location information of the data to be supplemented and the data to be corrected; acquiring the associated data corresponding to each problem data in the problem data matrix from each participating party, analyzing the associated data, and determining a correction matrix for each participating party, so as to provide data processing services based on the correction matrix of the participating parties and the local data of the participating parties. The technical solution provided by this invention can effectively solve the technical problems of data accuracy, consistency, and security by combining data quality, data validity detection, and data protection mechanisms.

The application discloses an industrial label printing self-adaptive optimization method based on multi-dimensional defect quantification. The method realizes intelligent management and control of label printing quality through task data preparation, image acquisition and parallel diagnosis, defect quantification and shunt decision, quality trend analysis and self-adaptive tuning, and predictive maintenance warning. The core of the method is to construct a defect severity index quantification model, combine the improved YOLOv8 algorithm to realize accurate classification and root diagnosis of defects, and realize real-time fine tuning of printing parameters through a fuzzy PID self-tuning tuning engine, and match a cache level real-time bit-level check to ensure data accuracy. The application breaks through the limitations of traditional passive detection, realizes active optimization and predictive maintenance, greatly improves production efficiency and reduces the rate of defective products, ensures stable label printing quality and accurate data, and is suitable for high-speed industrial label printing scenes.

The utility model provides a kind of equipment health management device based on self-diagnosis and light weight self-recovery, belong to management device technical field, including management mechanism, including shell, encapsulation cover encapsulated in shell surface, circuit board fixedly installed in encapsulation cover inside, accelerometer fixedly installed in shell inner wall top, and sensor being set in the lower accelerometer;Protective mechanism, including the shock-absorbing component for the suspension type shock absorption of sensor, and the limiting component for the anti -drop of sensor, the shock-absorbing component includes the mounting round frame fixedly installed in the bottom of accelerometer, and several shock-absorbing pieces for the shock absorption of sensor and fixedly installed in the inside of mounting round frame.The utility model is used for the suspension type shock absorption of sensor by shock-absorbing component, solves the problem that traditional sensor is directly installed on shell, is affected by environmental vibration and leads to data drift, reaches the shock-absorbing effect of sensor, improves its detection data accuracy.

The application discloses a fault-tolerant implementation method of a star sensor storage system against single event upsets, and solves the short board of the existing star sensor storage system against single event upsets and the technical problem that the processor internal FLASH capacity is insufficient to implement triple modular redundancy and the like.The method comprises three parts of power-on loading fault-tolerant reading, external SRAM star table dynamic refreshing and internal FLASH data automatic repairing.The ECC error processing is accurate and efficient, and is suitable for the hardware characteristics.The hardware parameters of 32 bytes corresponding to 10 bits of ECC and 32 byte error positioning granularity are adapted, single-bit error is only recorded and not switched to backup, the data accuracy is guaranteed by relying on hardware error correction, double-bit error is temporarily switched to backup reading, the error correction efficiency and data reading fluency are considered, and the real-time operation requirement of the star sensor is met.The application greatly improves the reliability of the star sensor in long-term operation in orbit, and effectively reduces the failure rate in orbit and operation and maintenance cost.

This application discloses a vehicle acceleration determination method, apparatus, electronic device, and storage medium. The method includes: acquiring an initial acceleration from a vehicle accelerometer; determining the zero-bias error parameter of the vehicle accelerometer; and updating the initial acceleration using the zero-bias error parameter of the vehicle accelerometer when it is determined that the vehicle is currently in a non-moving state. This application achieves adaptive adjustment of the zero-bias error parameter of the vehicle accelerometer, while eliminating high-frequency noise errors and improving data accuracy. This application can be used in autonomous vehicles.

This application provides a pumping data acquisition and safety early warning device, comprising a signal acquisition mechanism and a signal processing mechanism. The signal acquisition mechanism includes a magnetic transmitter, a Hall sensor, and a mounting base. The magnetic transmitter is mounted on one side of the pulley of the derrick, used to convert the rotation direction and number of rotations of the pulley into magnetic signals and send them to the Hall sensor. The mounting base is mounted on a fixed bracket for supporting the pulley, and a positioning hole is opened at the end away from the fixed bracket, facing the magnetic transmitter. One end of the Hall sensor is connected to the positioning hole and facing the magnetic transmitter, and the other end is electrically connected to the signal processing mechanism via a signal transmission cable, used to acquire the received signals of the rotation direction and number of rotations of the pulley. This device can acquire more accurate data for pumping operations, thereby ensuring data accuracy and operational safety during pumping operations.

This utility model belongs to the field of observation pole technology, and particularly relates to a variable height observation pole. It addresses the problem that existing observation poles have a fixed height, cannot be flexibly adjusted, and are difficult to position optimally in different terrains, affecting data accuracy and failing to meet the needs of observation targets at different heights. The proposed solution is a variable height observation pole, comprising a main support pole and a secondary support pole slidably connected within the main support pole. The advantages of this utility model are: the observation pole, through the sliding connection of the main and secondary poles and adjustment handles, allows for flexible height adjustment without tools; the guiding structure ensures accuracy; the prism orientation can be flexibly adjusted using positioning sleeves; it is reliably fixed; the multi-support point design with accessories adapts to various terrains, ensuring stability and data accuracy.

The application discloses an acoustic coral reef ecosystem repairing method and related equipment, and the method comprises the following steps: matching a target sub-region from a healthy reference area; collecting water acoustic data of the target sub-region for frame processing, noise reduction and biological sound enhancement processing to obtain third water acoustic data; screening target water acoustic data from the third water acoustic data through preset spectrum characteristics; playing the target water acoustic data in a tentative repairing area, regularly acquiring real-time ecological data of the tentative repairing area; quantifying the real-time ecological data of each time node according to a time sequence to obtain a repairing effect of the tentative repairing area; when the repairing effect does not satisfy a preset condition, returning to execute the step of collecting the water acoustic data of the target sub-region until the repairing effect satisfies the preset condition. The application improves the data accuracy through the processing of acoustic data, and then optimizes the sound playing through a feedback cycle, improves the overall repairing success rate, and can be widely applied to the technical field of acoustic data processing.

This invention proposes an automatic fastener assembly method and system based on UG secondary development, comprising: a construction step: creating a 3D model library of national standard fasteners containing national standard code attributes, and generating a configuration file associated with the model library that conforms to the UG reuse library calling specification; an integration step: deploying the national standard fastener 3D model library and the configuration file to the reuse library directory structure of the UG software, and modifying the UG software's library configuration file to enable the UG software to recognize and call the national standard fastener 3D model library; and an automatic assembly step: in the UG software environment, responding to assembly commands, automatically matching the corresponding national standard fastener model from the integrated national standard fastener 3D model library based on the specification parameters of the holes to be assembled, and driving the UG software to complete the assembly. This invention, by deeply integrating the national standard fastener library into the UG reuse library, allows engineers to directly call models with national standard codes and complete automatic assembly with one click, completely eliminating errors from manual querying and selection, and significantly improving assembly efficiency and design data accuracy.

The application discloses a CTC system localization hardware performance monitoring data visualization implementation method, solves the problems of poor adaptability of existing general monitoring schemes to localization hardware and railway business scenes, disconnection of data and business, weak visualization analysis and difficult special network deployment. The method ensures the improvement of data accuracy through automatic matching and multi-dimensional verification of hardware types, differentiated packet loss completion and business correlation abnormal value filtering; constructs a device-line-business three-dimensional layered model, combines railway operation diagrams for differentiated down-sampling and weighted statistics, and automatically associates business event labels to realize deep binding of performance data and business logic; through multi-index linkage visualization, pixel density detection intelligent labeling and multi-dimensional interaction filtering, the performance bottleneck positioning efficiency is improved; through three-level dependency list management, resource path mapping and static link encapsulation, an executable file that can completely run offline is generated, and the stable operation rate of the localization terminal is ensured.

This invention discloses a method for real-time monitoring and offline correction of wind tunnel pressure test data. The aim is to solve a series of problems encountered during pressure testing, such as the inability to monitor the operating status of the pressure acquisition system, the inability to compare unknown data values, and the difficulty in determining the quality of test data. Without adding peripheral equipment, this invention fully utilizes the potential of existing pressure acquisition system equipment to achieve real-time dynamic monitoring of pressure data and provides a basis for offline data analysis and correction. Through analogy comparison, real-time monitoring of the operating status of the pressure acquisition system is achieved, reducing the risks of test run scrapping and data invalidation due to equipment failure. This invention requires minimal system modifications, is flexible and convenient to operate, and is economical and practical. The difference between the synchronously acquired set constant pressure and the measured constant pressure provides a basis for subsequent offline correction of the test data, improving data accuracy.

This invention proposes a multi-parameter monitoring data calibration method based on a teacher-student model. The steps are as follows: First, acquire and preprocess time series related to multivariate air pollutants from multiple air quality monitoring devices to obtain multivariate time series. These multivariate time series and their corresponding actual concentrations constitute an air quality monitoring device dataset. Second, use the dataset from a reference air quality monitoring device to construct a supervised dataset to train a cloud-based teacher model, optimizing the model parameters using the AFSA algorithm. Third, select multivariate time series from relatively stable periods as local training samples, inputting the predicted concentrations obtained from the trained cloud-based teacher model as labels to train a student model. Fourth, use the AFSA algorithm to optimize the model parameters. Finally, use the student model to process the real-time collected time series to obtain the prediction results. This invention enables automated calibration of air quality monitoring device data, effectively improving data accuracy and management efficiency.

This invention provides a chip, device, and method for simulating shale fracturing, seepage, and extraction processes, belonging to the field of oil reservoir development technology. The chip includes: a substrate and a cover plate arranged in an overlapping manner. A main channel is etched on the substrate, and secondary fractures and pore throat structures are located on one side of and connected to the main channel. The secondary fractures are located within the pore throat structure region. The etching depth of the main channel and the secondary fractures is the same, and greater than the etching depth of the pore throat structure region. This invention has a simple structure and can accurately and comprehensively simulate the shale fracturing, seepage, and extraction processes with high data accuracy, providing data support for shale fracturing, seepage, and extraction processes.

The application relates to the technical field of flaw detection, and discloses an industrial flaw detection device with an X-ray tube, which comprises an X-ray detection device, a placing table, a surface cleaning assembly and an extension assembly, and the flaw detection device body is composed of the X-ray detection device and the placing table arranged in the X-ray detection device. The surface cleaning assembly and the extension assembly are arranged, the surface cleaning assembly can be closely contacted with the surface cleaning assembly during the movement of the rectangular pipeline, so that the surface cleaning assembly can clean and brush off the dust on the surface of the rectangular pipeline, and the data accuracy of the flaw detection is improved. Because the specifications of the detected rectangular pipelines are different, when the rectangular pipelines with large specifications are detected, the extension assembly can improve the cleaning area of the surface cleaning assembly, so that the rectangular pipelines with different sizes around can be effectively cleaned.

This utility model discloses an RFID-based tool cabinet for tooling and molds, relating to the field of tooling and mold technology. It includes four uprights and three shelves positioned between them. The key feature is that a back panel is provided on the same side of each of the three shelves, and trays are placed on the shelves. This utility model achieves automatic identification and precise positioning of tooling and molds through RFID technology, significantly improving the efficiency and accuracy of mold management. Compared with traditional manual management methods, the time spent searching for molds is greatly reduced, greatly improving work efficiency. The system automatically reads and updates data, avoiding errors from manual recording and ensuring data accuracy. The reasonable structural design and spatial layout optimize the utilization of storage space and reduce space waste.

This invention discloses a biological sample container identification and acquisition device, including a device body, a stage disposed within the device body, a top camera disposed at the top of the device body, and an annular reflector disposed at a corresponding position on the stage and located on the outer periphery of the biological sample container. The annular reflector is provided with an inner mirror surface for reflecting the side of the biological sample container on the stage to the top camera for imaging. This invention has the following beneficial effects: (1) The side of the biological sample container is reflected to the top camera by the annular reflector, realizing the synchronous acquisition of the front sample image and the side identification; (2) The light-transmitting area and the light source are matched to ensure uniform illumination; (3) The integrated acquisition process completely eliminates the information matching errors caused by step-by-step operations, improving data accuracy and experimental reliability; (4) The top camera integrates counting and recognition functions, further optimizing the workflow and improving efficiency in high-throughput applications.

The network threat knowledge graph construction method and related equipment provided by the embodiments of the present application comprise: obtaining report image data and report text data from a same network attack report, and respectively performing classification mapping on the report image data and the report text data based on a threat intelligence type set to obtain image categories and text categories; performing content extraction on the report image data based on the image categories to obtain image entity relationship data, and performing content extraction on the report text data based on the text categories to obtain text entity relationship data; performing alignment verification on the image entity relationship data and the text entity relationship data belonging to a same network threat type to obtain an alignment verification result; when there is a difference between the image and text data in a representation entity data verification group, performing multi-dimensional conflict processing to obtain target entity relationship data, and constructing a network threat knowledge graph, thereby effectively improving the data accuracy of network threat knowledge graph construction.

This invention discloses a method and system for preprocessing engineering drawing data based on image understanding, comprising the following steps: S1, acquiring image data of the drawing and extracting features to form a feature representation set; S2, performing semantic segmentation on the image data to generate a region label map; S3, performing joint recognition on the feature representation set and the region label map to construct a drawing element set; S4, matching the drawing elements with an existing database to construct a mapping relationship table and marking abnormal data; S5, performing structural analysis on the drawing elements to generate a causal table; S6, performing scoring and clustering operations on the abnormal data to form a set to be corrected; S7, fusing the mapping relationship table, the causal table, and the set to be corrected to obtain the drawing preprocessing result. This invention integrates deep learning algorithms, image semantic segmentation technology, and graphic structure analysis, possessing advantages such as high processing efficiency, strong interactivity, and high data accuracy.

The present disclosure provides a method and device for calculating the power consumption of a washing machine during the draining process, a washing machine and a storage medium. The present disclosure obtains the equivalent density value of the water in the washing machine before or at the beginning of the draining process, the first water level frequency value before draining, and the second water level frequency value after draining. The power consumption of the draining process is calculated according to the difference between the second water level frequency value and the first water level frequency value, combined with the equivalent density value, thereby improving the data accuracy of the power consumption of the draining process in different modes, providing more comprehensive power consumption information for users, and providing data support for energy efficiency optimization of smart home appliances.

The application discloses a kind of exploitation subsidence whole basin monitoring methods of space-time cooperation observation, belong to mining exploitation subsidence monitoring technical field.This method first collects target area time series SAR image, airborne LiDAR-DEM data and ground precision leveling measured data, obtains corresponding air-space-ground multi-source subsidence monitoring result after processing;Second, based on InSAR maximum deformation gradient theory, small-middle magnitude subsidence area boundary is divided, and ground measured data accuracy evaluation is combined to determine middle-large magnitude subsidence area boundary;Finally, according to the boundary, the data is fused regionally, the InSAR result is retained in small magnitude subsidence area, the LiDAR result is retained in large magnitude subsidence area, and the data of both is fused in middle magnitude subsidence area using priori fixed weight, and complete mining subsidence basin is obtained by spatial interpolation.The application effectively overcomes the shortcomings of single monitoring technology, can obtain continuous and accurate subsidence data, and provides scientific basis for ecological environment restoration and geological disaster prevention in mining area.

The utility model discloses a kind of electrochemical titrator stable pedestal, it is related to experimental equipment technical field, including titrator, vertical installation is carried out in titrator column, the titration frame is slidably arranged in column, the sliding frame is also slidably arranged in column, the sliding frame is below titration frame, the clamping assembly for being clamped and fixed in titration container on titrator is arranged on the sliding frame, the clamping assembly includes the positioning ring connected on sliding frame, adjusting bolt is threadedly connected on the positioning ring, adjusting bolt rotates on positioning ring to displace along the radial direction of positioning ring, the end of adjusting bolt extending to the inside of positioning ring is connected with sliding rod, and the one end of sliding rod is connected with abutting head. The utility model clamping assembly can effectively fix titration container, avoid its displacement or pour due to factors such as touch, vibration during titration, improve titration stability and data accuracy.

This application provides a method and system for automated data entry and collection of daily ship production reports. The method includes: S1, acquiring the basic data required for daily ship production report entry, and constructing a daily ship production report template information database based on the basic data; S2, creating a corresponding database storage system based on the daily ship production report template information database, and determining the database table structure of the daily ship production report data; S3, constructing a daily ship production report entry form template associated with the database table structure; S4, publishing and sharing standardized daily ship production report entry form templates; S5, authorizing users to complete real-time data entry based on the standardized daily ship production report entry form templates; S6, collecting the entered real-time data and completing indicator calculations and database storage. This application solves the problem of standardized entry and automated processing of daily report data for multiple models and categories, ensuring data accuracy and collection efficiency.

This invention discloses an end-to-end encrypted location sharing method for PDT / DMR walkie-talkies, solving the problems of low positioning data accuracy, insecure transmission, and unreliable encryption during walkie-talkie location sharing. The method includes: a dispatch terminal / authorized walkie-talkie sending a location sharing control signaling POS_CMD, which, according to the CSBK signaling definition in the extended PDT / DMR standard, initiates / dissolves a sharing event and determines the sharing event mode; the called walkie-talkie sends an end-to-end shared location information data frame POS_INF, which uses Data Type=0xF, multiplexes the physical layer encoding format of a 3 / 4 coding rate data frame to carry encrypted location information, and employs a 0-180° latitude / 0-360° longitude mapping, with the KeyFrame field sharing the ciphertext; and the dispatch terminal / member walkie-talkie decrypts the POS_INF data frame and reconstructs the location information. This method achieves encrypted control information sharing with the ciphertext, with the entire encryption / decryption process completed on the walkie-talkie / dispatch terminal side, improving data security and preventing location information exposure.

The application discloses a lottery data warehouse table data checking method and device based on a sliding window and hierarchical aggregation, a medium and a product, and relates to the field of data quality management.The method comprises the following steps: defining a checking scheme for a lottery data warehouse table through configuration information, periodically reading the configuration by a master control program, starting a window checking task when the difference between the current time and the end time of the window time exceeds the sedimentation time, and comparing data by window and updating a completion identifier by using the sliding window.The checking task is executed in two layers: the first layer performs parallel aggregation counting according to units, tables and partitions, and the second layer aggregates source end data and target end data and compares them.If the comparison is successful, the state and the time are updated, and if the comparison fails for a preset number of times, an alarm is given.The application can guarantee data accuracy and real-time performance, reduce delay time, improve the stability of the checking process, reduce checking resource consumption, and flexibly adjust the balance between comparison efficiency and business delay.

This invention discloses a multi-parameter dynamic control device for circulating fluid, comprising an inlet pipe, an outlet pipe, a heater, an inlet temperature and pressure measuring mechanism, an outlet temperature and pressure measuring mechanism, a flow regulating mechanism, and a controller. One end of the inlet pipe has an inlet port, and the other end is connected to the inlet of the heater. One end of the outlet pipe has an outlet port, and the other end is connected to the outlet of the heater. The outlet temperature and pressure measuring mechanism is mounted on the outlet pipe. The heater, the inlet temperature and pressure measuring mechanism, the outlet temperature and pressure measuring mechanism, and the flow regulating mechanism are all connected to the controller. The achieved technical effects are: it can automatically complete pump performance curve plotting and cooling power calculation, significantly improving the automation level and data accuracy of the testing process, reducing errors and time consumption caused by manual intervention, and providing an efficient and reliable testing platform for the performance testing of cooling water circulators.

A wind tunnel test model structure with a high slenderness ratio belongs to the field of wind tunnel test vehicle design technology. It solves the problems of large vibration amplitude and low data accuracy in existing technologies during testing. Key technical points: The rectifier cap, front cylinder, and front port flange are sequentially bonded together, with the front port flange connected to the front end of the central steel shell; the rear port flange, rear end cylinder, and rear end plate are sequentially bonded together, with the rear port flange connected to the rear end of the central steel shell; a balance sleeve is fitted onto the balance, the central steel shell is fitted onto the balance sleeve, the balance front cone tension plate is connected to the central steel shell, the front end of the balance is connected to the balance front cone tension plate, and the rear end of the balance is connected to the tail end of the balance sleeve. This invention significantly reduces the vibration amplitude of the model structure during testing, avoids damage to the model and equipment caused by resonance, and improves the safety and stability of the entire wind tunnel high angle-of-attack test process; it effectively suppresses the interference of model vibration on measurement results, ensuring accurate and reliable test data acquisition.

This invention discloses an intelligent operation and maintenance control method and system for gas turbines, relating to the field of intelligent control and operation and maintenance technology for gas turbines. The method first acquires operational data from each edge node of the gas turbine, employs a dynamic weighted fusion algorithm to eliminate signal drift, and obtains a high-quality operational dataset. Then, it constructs a multi-physics coupled digital twin model, inputs the operational dataset to simulate the equipment's operating state, and accurately determines the fault category. Finally, based on historical faults and operation and maintenance data, it constructs a dynamically updated operation and maintenance knowledge graph, inputs the fault categories, and generates the optimal maintenance strategy through a combination of rule-based reasoning and case-based reasoning. This invention solves the problems of insufficient data accuracy, difficulty in identifying multi-physics coupled faults, and reliance on manual experience in traditional technologies, improving the accuracy of gas turbine operational data, the precision of fault diagnosis, and the scientific nature of operation and maintenance decisions, enhancing equipment operational reliability, reducing maintenance costs, and extending the equipment's entire lifespan.