114 results about "Data error" patented technology

The invention provides a robot training data analysis method and system based on deep learning. The method comprises the steps that operation parameters reflecting the work intensity of a robot are acquired; acquiring original sensor data acquired by the robot; deducing the physical state deviation of an end effector of the robot based on the operation parameters; according to the physical state deviation, adjusting the original sensor data to obtain adjusted sensor data; and optimizing a robot control strategy based on the adjusted sensor data. The method can effectively identify and quantify the sensor data error of the robot caused by the physical state deviation, and solves the problem that the model performance is reduced due to the fact that a traditional deep learning system learns in dirty data by correcting the original sensor data, thereby improving the accuracy and efficiency of robot control strategy optimization, and improving the user experience. And invalid adjustment caused by error attribution is avoided.

The application discloses a robot complex scene perception system and method based on environment adaptive multi-modal fusion, relates to the technical field of robot perception, and comprises four modules of a flexible sensing matrix, environment feature self-calibration, cross-modal causal reasoning and scene prediction.The flexible sensing matrix collects environment parameters and multi-modal data of vision, inertia and touch.The self-calibration module corrects data errors through environment-error mapping and gradient descent algorithm.The causal reasoning module realizes data fusion and failure completion based on a Bayesian network.The scene prediction module outputs a prediction result through a pre-trained LSTM model and feeds back an optimized collection strategy.The application breaks through the bottleneck of traditional perception technology, improves the environment adaptability, system fault tolerance and decision initiative of complex unstructured scenes, is suitable for scenes such as disaster rescue and outdoor inspection, and helps robots to work autonomously and safely.

This invention discloses a method and system for monitoring human settlements using unmanned aerial vehicles (UAVs), relating to the field of human settlements monitoring. The method includes setting up a monitoring module mounted on a UAV, establishing a real-time communication link between the module and the flight control system, enabling the UAV to fly over human settlements, and during flight, the monitoring module collects parameters of the human settlements. Based on the flight control data, the collected parameters of the monitoring module are dynamically corrected to generate a calibrated data set. The calibrated data is then input into a scenario-based analytical model. This invention utilizes a real-time correction mechanism with deep coupling between flight control and sensing to dynamically correlate UAV attitude parameters with monitoring data, thereby reducing the data error rate and eliminating the need for post-correction. This is particularly beneficial in complex terrains such as mountainous blind areas and urban streets, improving the accuracy of pollutant concentration monitoring and helping to solve the problem of data distortion caused by dynamic interference.

The present application belongs to the technical field of geothermal energy development and utilization, and relates to a hydrothermal type buried pipe heat exchanger optimization design method based on PINN, comprising: 1, numerical simulation and benchmark data set generation; 2, PINN construction and training: constructing a PINN neural network, converting the mass conservation equation and the energy conservation equation in the pore medium into a partial differential equation residual, and together with the discrete data error generated by the numerical simulation software to form a composite loss function; using the nonlinear fitting capability of the PINN neural network, and embedding the physical partial differential equation of fluid flow and heat transfer in the pore medium into the loss function as a soft constraint; 3, data-driven optimization based on the proxy model; the present application not only fundamentally solves the problems of poor generalization ability and easy non-physical interpretation of traditional pure data-driven models, but also breaks through the bottleneck of convergence difficulty and high training cost when solving complex engineering problems by pure PINN.

This invention provides an insulation testing system and method for GIS (Gas Insulated Switchgear) and plug-in transformers that does not require disassembly, relating to the field of high-voltage electrical equipment testing technology. It aims to solve the technical problems of traditional plug-in transformer insulation testing, which requires disassembling the high-voltage side plug-in connector, leading to complex operation, high cost, slow response, and safety hazards. This invention establishes a test channel by reconstructing the grounding circuit of the GIS equipment. The GIS side grounding switch is closed, the grounding connector of the transformer side grounding switch is removed, and its exposed leads are used as test access points. Combined with dedicated test wiring components and insulation testing instruments, a complete electrical circuit covering transformer insulation testing is constructed. This invention eliminates the need to disassemble the plug-in connector, saving disassembly time. The test data error rate compared to traditional disassembly tests is ≤1.8%, eliminating the risk of SF6 gas leakage caused by repeated disassembly and assembly. It is suitable for preventative testing and fault diagnosis of fully enclosed insulated transformers in power systems.

The application relates to the technical field of intelligent data analysis, in particular to a questionnaire data intelligent analysis processing system based on a large language model, which comprises a target analysis module, a dynamic coding table construction module, a coding table optimization module, an automatic coding mapping module, a verification and retry processing module and an intelligent analysis module. The core target and analysis dimension are identified by relying on a context perception algorithm, coding instructions are dynamically constructed, preliminary coding is completed in parallel in fragments, the coding structure is optimized through logical verification and semantic deduplication, and automatic coding mapping of full-quantity questionnaire data is completed. Through multiple rounds of data verification combined with an exponential backoff strategy, error data retry coding is completed, and out-of-limit abnormal data is marked, cross analysis and deep correlation analysis are carried out in combination with a preset framework. The scheme realizes adaptive adjustment of questionnaire coding and closed-loop processing of data errors, improves the standardization of questionnaire data coding, and stabilizes the operation quality of data analysis.

This invention relates to the field of enameled aluminum wire testing technology and discloses a device for testing the elongation rate of the coating after aging of enameled aluminum wire. The device includes a base and a frame fixedly mounted on the top surface of the base. A test plate is slidably mounted on the inner wall of the frame. Tooling fixtures are provided on both the inner top surface of the frame and the top surface of the test plate. A drive structure for driving the test plate is provided on the frame. Two mounting seats are symmetrically fixedly mounted on the inner top surface of the frame. This invention achieves precise adjustment of the mounting plate height through a threaded transmission structure of a threaded sleeve and an adjusting screw. Combined with the slot limiting during the movement of the rotating sleeve, it ensures that the mounting plate always corresponds to the center position of the tooling fixture during feeding. Simultaneously, the gravity traction of the counterweight and the magnetic drive of the centering component automatically center and align the enameled aluminum wire sample, avoiding premature core wire breakage due to clamping misalignment or clamping distance deviation, reducing test data errors, and accurately reflecting the actual elongation rate of the coating after aging.

This utility model relates to the field of detection equipment technology, specifically an air pollution detection device, including a connecting plate. Three sets of triangular legs are hinged to the outer surface of the connecting plate. A fixing plate is fixedly mounted on the upper end face of the connecting plate. A groove is formed on the upper end face of the fixing plate. A detection device base is provided on the upper side of the fixing plate. An inner cavity is formed inside the fixing plate, and a threaded rod is rotatably connected inside the inner cavity. The end of the threaded rod is helically connected to a threaded tube. This utility model, through its quick-installation structure, allows the detection device to be quickly and easily installed on a support device, effectively simplifying the traditional installation process, saving operation time, and significantly improving installation efficiency. Simultaneously, this structure enhances the connection stability between the device and the support, reducing data errors caused by loosening, thereby improving the accuracy and reliability of the detection work. It is suitable for air monitoring needs in various environments.

The application relates to the technical field of industrial Internet of Things, and discloses a multi-channel time sequence data error bound quantification method and system based on dynamic graph grouping and error distribution, which comprises the following steps: S1: acquiring multi-channel time sequence data collected at the same collection point; S2: determining a scale factor, a point-by-point maximum absolute error upper bound, normalized channel time sequence data, and normalized error bounds of all channels; S3: calculating correlation measurement values of any two channels, and constructing a channel correlation graph; S4: determining a grouping threshold value, and forming an anchor point set from selected anchor point channels; S5: constructing a cross-channel correlation prediction model, and constructing an innovation sequence; S6: determining an error sensitivity coefficient, and determining a quantified error bound; S7: obtaining normalized reconstruction values of the anchor point channels and the innovation sequence; and S8: obtaining normalized reconstruction values of non-anchor point channels, and performing inverse normalization on the normalized reconstruction values according to the scale factor to obtain reconstruction values of the channels under the original dimension. The application can limit compress and highly restore original data.

An error correction circuit includes an error processing circuit, a poison processing circuit, and a data pattern conversion circuit. The error processing circuit receives data, generates delayed data, a parity signal, and syndrome information, and outputs error correction data generated by correcting errors in the data according to the syndrome information. The poison processing circuit outputs one of a write poison flag and a read poison flag as a poison pattern control signal in accordance with a write command. The data pattern conversion circuit converts the delayed data and the parity signal into a poison pattern according to the poison pattern control signal and outputs the poison pattern.

The application discloses an out-of-hospital hierarchical diagnosis method based on IBS diseases, and relates to the technical field of medical diagnosis, and comprises the following steps: S1: acquiring multi-dimensional information related to IBS diseases provided by a patient in an out-of-hospital scene; S2: performing standardization preprocessing on the out-of-hospital multi-dimensional information to obtain feature data that can be input into an algorithm model; and S3: inputting the standardization feature data into a preset IBS hierarchical diagnosis algorithm model to output an IBS disease hierarchical diagnosis result of the patient. The out-of-hospital hierarchical diagnosis method based on IBS diseases integrates multi-dimensional out-of-hospital information, eliminates data errors by combining standardization preprocessing, adopts multi-feature screening and model optimization, references the Rome IV diagnostic standard to train the model, simultaneously judges the diagnosis reliability through the confidence, reduces the misdiagnosis and missed diagnosis rate, the model iteration updating mechanism can continuously improve the diagnosis accuracy, and adapts to the change of clinical requirements.

The application relates to the technical field of memory data error correction, and provides a layered error correction method and system for DDR5 memory and a medium, which comprises the following steps: configuring initial resource weights for three layered levels of single-bit error correction, double-adjacent error correction and triple-discrete error detection; after reading memory data and corresponding ECC error correction check bits, determining an error category through comparison operation, and dynamically adjusting resource proportions of each level in combination with parameters such as a real-time running frequency of the memory; then, corresponding error correction is completed or triple-discrete error alarm is triggered according to the error type, and the process is continuously cycled. The application can support mixed processing of multiple error types, dynamically allocate resources in an adaptive high-frequency working state, improve the detection and response capability for burst errors, and improve the error detection and correction efficiency.

The application relates to the technical field of data communication, and discloses a device end data transmission method and system based on WebRTC technology, which establishes a communication network through WebRTC and an adaptive network protocol corresponding to the communication network, so that when the current network state is in a congested state, the data transmission rate is determined according to the network bandwidth and the round-trip delay, and when the current network state is in an idle state, the data transmission rate is determined according to the congestion window size and the packet loss rate. The network can accommodate the data amount based on the network bandwidth and the round-trip delay, and the data transmission rate is determined, the network bandwidth is fully utilized, the data preemption capability is improved, the congestion window size and the packet loss rate control the data transmission rate, the data error rate during data transmission is reduced, the reliability of data transmission is improved, the flexibility during WebRTC data transmission is improved from two aspects, and the data transmission effect is greatly improved.

The "Diana" invention is a vehicle repair assistance system using artificial intelligence (AI) and augmented reality (AR). It connects to external diagnostic devices to retrieve vehicle data (error codes, sensor data, etc.), whether for internal combustion, electric, or hybrid engines, and analyzes it in real time using the AI ​​module. The dynamic, regularly updated database provides technical information, diagrams, and repair procedures. The system delivers repair instructions and diagnostic results via multilingual voice or text commands; it can also be used with augmented reality glasses for interactive assistance and integrates a vehicle management system to allow workshops to track repairs.

This invention relates to the field of building construction technology, specifically to a device and method for rapidly measuring slope. The device includes a telescopic pole, a horizontal distance infrared rangefinder, a slope bottom depth infrared rangefinder, a data collection and slope calculator, an infrared baffle, and bearings. The telescopic pole is placed horizontally, with the horizontal distance infrared rangefinder fixed horizontally to the top surface of the first section of the telescopic pole. The infrared baffle is positioned at the outer end of the last section of the telescopic pole. The slope bottom depth infrared rangefinder is installed at the outer end of the last section of the telescopic pole and is suspended from the last section via bearings. The slope bottom depth infrared rangefinder and the infrared baffle are on the same vertical plane. The device can automatically calculate measurement data, saving labor and time; it reduces the need for personnel to ascend and descend slopes, reducing the number of surveying personnel and improving work efficiency; and it provides one-time measurement data, reducing data errors and ensuring construction quality.

The application discloses a data integrity multiple verification method and system of a double-channel safety control system, relates to the technical field of data verification of safety control systems, and comprises the following steps: performing inboard double-channel cross voting on input signals obtained by double channels of a board card, performing one cycle redundancy check on voting result data, and performing cycle redundancy check code packaging based on a communication protocol to obtain a protocol data packet containing double cycle redundancy check codes; performing secondary cycle redundancy check based on the double cycle redundancy check codes after analyzing the protocol data packet in a main control board to obtain effective data; performing cross check and voting on the effective data of double channels of the main control board to generate a channel local voting result; performing board card level check on the channel local voting result and then performing global check, judging global data consistency based on a global check code, and identifying system faults. The application improves the comprehensiveness and effectiveness of data check, and solves the problem that single point faults or data errors cannot be avoided.

The application discloses a full-automatic color difference and temperature curve fitting intelligent heating table, which takes an STM32F407VET6 single-chip microcomputer as a core main control unit, and integrally integrates a high-precision temperature control and heating module, a full-automatic image acquisition module, a real-time color difference analysis module, an intelligent curve fitting module and a linkage control module. After preset parameters of a user, the system automatically completes heating temperature control, triggers image acquisition, color difference value extraction, data binding storage at constant temperature or constant time, and automatically completes curve fitting based on multiple sets of temperature-color difference value data, and outputs optimal fitting results. The application realizes full-process automation of "temperature control-acquisition-value extraction-fitting", does not need manual intervention, solves problems of complicated operation, large data error and low efficiency of a traditional method, and is suitable for rapid acquisition of color difference-temperature curves of multiple samples such as thermochromic coating and high polymer materials.

The application discloses a state data correction method and device, a navigation system, electronic equipment and a storage medium. The method comprises the following steps: acquiring first state data and N first wheel speed data measured by N wheel speed meters, wherein the first state data is data obtained by processing data measured by an inertial measurement unit; performing first filtering processing on the N first wheel speed data by using the first state data, so as to determine N residual check quantities corresponding to the N first wheel speed data respectively; in the case that M residual check quantities are less than a first threshold value in the N residual check quantities, performing second filtering processing on M first wheel speed data corresponding to the M residual check quantities, so as to obtain a first state feedback quantity; and correcting the first state data according to the first state feedback quantity, so as to obtain target state data to be output. The application uses wheel speed data to correct state data based on multiple wheel speed meters of a vehicle, and can effectively inhibit accumulation of state data errors.

Systems and methods provide for integrating legacy systems into a unified platform. Embodiments include a system configured to ingest, normalize, and store data from multiple sources using a data layer, analyze and transform data using AI algorithms by a processing layer, and provide a dynamic user interface for data visualization and interaction by a presentation layer. Methods are provided for receiving, by a computing device, data such as email orders, vendor catalogs, CRM data, etc., extracting data from the content, processing the data using natural language processing techniques, analyzing the data using machine learning models, mapping the data to a unified platform's schema, managing the integration workflow using a workflow orchestration engine, providing real-time data insights, and resolving data errors or anomalies using an exception management system.

This invention discloses an integrated management and control method for the entire sales settlement process based on table-valued parameters, belonging to the field of sales settlement management technology for industrial enterprises. This invention adopts a back-end-heavy, front-end-light architecture, using custom table-valued parameters as a unified data transmission carrier to batch transmit core information such as settlement order numbers, finished product roll numbers, and final unit prices. A single stored procedure centrally manages all business operations, including settlement order binding, unit price modification, and status updates. The front-end is only responsible for interface display and unified interface calls, without handling complex business logic. The back-end incorporates centralized data verification and database atomic transaction control to ensure data consistency, while supporting multi-dimensional combination filtering, batch selection of roll numbers, and automatic weight and amount statistics. This invention solves the pain points of traditional settlement systems, such as fragmented logic, high coupling, inefficient batch operations, and data error susceptibility. It has been fully implemented and is running in actual industrial MES / ERP integrated systems, possessing advantages such as stable architecture, efficient operation, long-term iterative capability, and strong scalability, making it suitable for the standardized and intelligent management needs of sales settlement in manufacturing enterprises. This technical solution is not a theoretical model, but a mature technical solution that has been fully engineered, developed, and stably run in actual industrial manufacturing enterprise MES / ERP integrated systems.

The application is suitable for the field of communication technology, and provides a communication interface conversion method, device, equipment and readable storage medium. The method comprises the following steps: acquiring an RGMII receiving data signal, the RGMII receiving data signal being output by a PHY layer through an RGMII interface; converting the RGMII receiving data signal into an MII receiving data signal through a first FIFO buffer; acquiring an MII sending data signal, the MII sending data signal being output by a MAC layer through an MII interface; converting the MII sending data signal under an MII clock domain into an MII sending data signal under a system clock domain through a second FIFO buffer; generating an RGMII sending clock based on a system clock through an ODDR, and converting the MII sending data signal under the system clock domain into an RGMII sending data signal based on the RGMII sending clock. Therefore, the application can avoid the occurrence of data loss, data error and the like in the interface conversion process as much as possible.

This invention discloses a method for sending BeiDou short messages, relating to the field of BeiDou RSMC short message communication. This invention detects the BeiDou RDSS satellite signal reception status, determines the signal power and navigation data error rate, and automatically selects a data frame number generation mode based on the signal reception status to ensure the continuity of satellite frame numbers. The generated frame number is then used to generate an IC card authentication code, and finally, the generated frame number is used for signal inbound operations, completing the BeiDou short message sending function.

This invention belongs to the field of titanium-nickel alloy testing technology, and particularly relates to a multi-point testing device for testing the hardness of titanium-nickel alloys. It includes a hardness tester body, a support base on the upper end of the lifting platform of the hardness tester body, and an adjustment component, including a fixed plate positioned above the support base and an adjustment element positioned between the fixed plate and the support base. The adjustment component allows for flexible adjustment of the horizontal position of the fixed plate, enabling testing of titanium-nickel alloy bars at different locations. Simultaneously, the square slot of the positioning component cooperates with the positioning element to quickly position the titanium-nickel alloy bar, avoiding data errors caused by bar offset during testing. Furthermore, after the positioning element separates from the bar, it automatically provides centered support, ensuring coaxiality during bar rotation and allowing operators to easily rotate the bar without repeated positioning and calibration, significantly improving the efficiency of multi-point testing.

The application belongs to the technical field of aerospace electronic integrated circuits, and particularly relates to a satellite load FPGA configuration data error correction method and system resisting single event upsets, a double-layer error correction method of "bit-symbol" based on RS decoding operator error correction of a finite field algebra on the basis of a "two out of three" majority voting logic, which can correct single particle independent upsets and multiple copy common mode failures at the same time, and solve the traditional TMR error locking problem. Meanwhile, when configuration data is written into a non-volatile memory, a cross-sector spatial staggered dispersion storage mechanism is introduced, so that the symbols in the same RS code word are separated as much as possible in the physical position, so as to convert the aggregation physical damage into dispersed symbol level errors.

The application relates to the technical field of data error correction of storage chips, and discloses a data error correction method and system for a storage chip, wherein the method is characterized in that data processing priority information associated with data in the storage chip is acquired, and differential correction processing is performed on data errors according to the priority information, so that the problems that the traditional error correction method in the prior art is insufficient in the face of complex and changeable error modes and a large amount of system resources is consumed by frequent error processing are effectively solved.

The present application belongs to the technical field of industrial inkjet printing, solves the problem that the existing technology cannot protect the nozzle within an effective time when the nozzle is powered on and powered off and when printing, and provides a real-time monitoring method, device, equipment and medium for nozzle drive waveform output, the real-time monitoring method for nozzle drive waveform output comprises: collecting the voltage output by the voltage output end to obtain voltage data; processing the collected voltage data to obtain actual voltage waveform data; comparing the actual waveform data with the set waveform data to obtain waveform data error; determining whether the waveform data error exceeds the set error value, if it does, implementing protection measures; otherwise, repeating the above steps.

The application discloses a photovoltaic power generation prediction method and device, relates to the intelligent power generation technical field, solves the problems that data errors exist in data collection and power generation processes, and directly uses output results as prediction values to cause certain deviation between the prediction values and actual values; the application obtains historical power generation amounts of a plurality of photovoltaic panels, real-time weather data, historical weather data and corresponding historical total power generation amounts; divides a photovoltaic power generation area into a plurality of power generation areas based on the historical power generation amounts of the plurality of photovoltaic panels; analyzes power generation thresholds based on the historical weather data and the corresponding historical total power generation amounts; predicts power generation amounts of the plurality of areas based on the real-time weather data and the power generation thresholds, and obtains predicted power generation amounts; integrates the predicted power generation amounts of the plurality of areas to obtain photovoltaic predicted power generation amounts; and accurately predict the power generation amounts and reduce prediction errors caused by uncertain factors.

A system including a first integrated circuit configured to render image data and transport the image data. Further, the system includes a second integrated circuit configured to receive the image data, determine whether the image data is missing data that was expected to have been received, and generate placeholder data in response to determining that the image data is missing data that was expected to have been received.