472 results about "Data acquisition unit" patented technology

An abnormal irregularity cause identifying device includes a process data acquisition unit that reads, from a storage device storing process data, the pieces of process data, an abnormality determination unit that calculates an abnormality degree representing an extent of an irregularity of process data of the pieces of process data read by the process data acquisition unit, and a cause diagnosis unit that obtains accuracy of a cause of the irregularity based on a proportion of process data having the abnormality degree calculated by the abnormality determination unit satisfying a predetermined criterion to the plurality of types of pieces of process data, by using causal relation information defining a combination between the cause and the irregularity, which appears as an influence resulting from the cause, of each of the plurality of types of pieces of process data.

This invention relates to the field of mechanical property monitoring technology for mine backfill bodies, specifically to a system and method for acquiring and analyzing tensile strength data of mine backfill bodies. The system comprises a data acquisition unit, a physical information coupling unit, a tensile strength inversion unit, and a spatiotemporal evolution mapping unit. This invention acquires the waveguide flight time and energy attenuation coefficient of the backfill body using an embedded guided wave sensor array. It uses the monotonically increasing law of hydration degree as a physical constraint to train the physical information coupling network, outputting a compliant hydration degree time series. Based on a hydration degree-tensile strength mapping relationship library, it inverts and fits to generate a strength growth curve, which is then loaded into a four-dimensional digital twin model to invert the internal tensile strength gradient field. It automatically identifies local abnormal regions where the growth rate is below the safety threshold, improving the physical rationality and accuracy of the inversion results, and realizing visualization of the spatiotemporal evolution of backfill body strength and early safety warning.

The application discloses a campus vision screening data visualization and regional prevention and control strategy generation system, comprising: a data acquisition unit for acquiring campus student vision screening core data, eye environment data, individual behavior data and regional public health resource data; a data preprocessing unit in communication connection with the data acquisition unit, for cleaning, fusing and feature extraction of the collected multi-source heterogeneous data. The application overcomes the technical problems of existing campus vision screening system, such as data isolation, single visualization form, extensive prevention and control strategy, unbalanced regional resource allocation, insufficient privacy protection and lack of iterative optimization mechanism, and provides an intelligent system integrating data acquisition, preprocessing, spatio-temporal visualization, risk assessment, hierarchical strategy generation, interactive output, privacy protection and iterative optimization, so as to realize data management, visualization, analysis, strategy generation and efficiency evaluation, and improve the accuracy of campus myopia prevention and control and the efficiency of regional management.

The present invention provides an equipment control device capable of properly protecting a system that controls equipment via a coaxial cable. [Solution] The device control device 100 comprises a power supply circuit, a communication circuit, a filter, a high-side switch, and a control unit 110. The control unit 110 includes a power supply voltage detection unit 111 that detects the power supply voltage supplied from the power supply circuit, and a current data acquisition unit 112 that acquires current data of communication signals transmitted and received from the communication circuit. The control unit 110 also includes a duty cycle acquisition unit 113 that acquires the duty cycle of the current data, and a current value determination unit 114 that determines whether the current value of the current data is equal to or greater than a predetermined current threshold. Furthermore, the control unit 110 includes a duty cycle adjustment unit 115 that reduces the ON ratio of the duty cycle when it is determined that the current value is equal to or greater than the current threshold.

A tipper system and method for transporting cargo, and a detection apparatus and method for detecting residual cargo are disclosed. The tipper system for transporting cargo may comprise: a transport cart having a loading panel on which cargo is to be loaded; and a tipper device for unloading the cargo loaded on the transport cart by tilting the transport cart. The tipper device may comprise: a data collection unit using a camera sensor to acquire an image of the loading panel, on which cargo is loaded, and distance data indicating the distance to the cargo and / or the loading panel included in the image; a height estimation unit for estimating the height of the loaded cargo on the basis of image data and the distance data; and an inclination determination unit for determining, on the basis of the estimated height, the angle at which a cart accommodation part is to be inclined.

To provide a data tampering detection device that can accurately detect alterations to the original data. [Solution] The system includes: a source data acquisition unit 91 that acquires source data from source data DB22; a source data match determination unit 92 that calculates a hash value from the source data acquired by the source data acquisition unit 91 and determines whether the calculated hash value matches the source data hash value corresponding to the source data; a third-node data acquisition unit 93 that acquires source data hash values ​​corresponding to the source data from other nodes 30B and 30C; a hash value verification unit 94 that verifies whether the source data hash value that has been determined to match the source data has not been tampered with, based on the source data hash value recorded in the local node 30A that corresponds to the source data and the source data hash value acquired from other nodes; and a tampering determination unit 95 that determines whether the source data has been tampered with, based on the determination result of the source data match determination unit 92 and the verification result of the hash value verification unit 94.

A system capable of optimizing early alarm operation by introducing an alarm filtering technology so as not to cause false alarm to an abnormal signal due to signal noise is disclosed. The system comprises: a data acquisition unit for selectively acquiring historical data according to the operation of a electric power facility by selecting a preset multivariate input tag; a recommendation unit for generating learning data, which is a multivariate signal for machine learning, based on a preset similarity from the historical data; a compression unit for generating re-sampling data by compressing the learning data; a learning unit for performing real-time monitoring by using the re-sampling data as input data of a pre-designed early warning learning model; and a calculation unit for generating a final warning when a predetermined condition predefined through the real-time monitoring is satisfied.

The purpose of the present disclosure is to present factors including the reason and basis for reaching an estimation when performing an estimation using a model constructed by artificial intelligence including machine learning. A data acquisition unit (11) acquires input data (IN). A factor estimation unit (12) inputs the input data (IN) to an estimation model (M1), thereby estimating a factor of a measurement target that is included in the input data (IN), and outputs information indicating the estimated factor as a factor estimation result (OUT1). A classification estimation unit (13) outputs a classification estimation result (OUT2) indicating a result obtained by classifying the measurement target on the basis of the factor estimation result (OUT1). A display unit (14) displays the factor estimation result (OUT1) and the classification estimation result (OUT2).

This invention relates to the field of electric passenger vehicle ride comfort testing technology, specifically to a device and method for synchronously acquiring and eliminating motion sickness parameters in electric passenger vehicles. It includes: a full-area flexible pressure sensor array to acquire human contact pressure signals; a multi-modal motion vibration monitoring module to simultaneously acquire vehicle body and human motion and vibration signals; a data acquisition unit to receive and process raw sensor data; an intelligent calculation unit to calculate mechanical, kinematic, and vibration parameters; an adaptive calibration unit to calibrate sensor baselines and dynamically adjust sensitivity and calculation coefficients; a dual-linkage verification unit to verify data validity; an autonomous motion interference elimination unit to separate the vehicle-related motion and human autonomous motion components, eliminating interference data; and a data output unit to output valid raw data and calculated parameters to an external system. This technical solution can achieve accurate acquisition of multi-dimensional motion sickness parameters in electric passenger vehicles and intelligent elimination of interference data.

The application discloses a kind of server fault diagnosis method and system for server group, it is related to server operation and maintenance technical field, present and propose the following scheme, including data acquisition unit, data preprocessing unit, data training unit, data diagnostic analysis unit, scheme generation unit, scheme verification trial unit, data storage unit and data early warning unit, each unit is connected by communication bus or network link and forms closed loop diagnosis system.The application constructs full-link fault diagnosis system, through multidimensional collection hardware, software, network data, improves data quality by scientific pretreatment, adopts rule matching+machine learning hybrid model, combined with self-learning mechanism, improve diagnostic accuracy and coverage, generate personalized repair scheme and be verified by simulation / real machine, avoid secondary failure, full-process data safety storage and double early warning mechanism, realize fault tracing and prevention and control in advance, greatly improve server group operation and maintenance efficiency, guarantee business continuity.

To provide a gas detector that can easily detect mixed gases with high accuracy, and that can calibrate the gas sensor without using actual gas. [Solution] The system is configured to include a sensitivity setting unit 121 that sets the sensor sensitivity of the gas sensor 110 for a gas to be measured, selected from among multiple types of mixed gases in which the first to nth gas components (where n is an integer of 2 or more) are mixed in different proportions, based on composition data relating to the gas to be measured and sensitivity data relating to the sensor sensitivity of the gas sensor 110 for each of the first to nth gas components, and a calibration curve data acquisition unit 122 that acquires calibration curve data for the gas to be measured based on composition data relating to the gas to be measured and reference calibration curve data for each of the first to nth gas components.

This invention provides a truck model and axle count information comparison and export transaction system, relating to the field of intelligent transportation technology. It includes a multi-source data acquisition unit; an information processing and verification unit, communicatively connected to the multi-source data acquisition unit, for processing the multi-source data based on an artificial intelligence recognition model and constructing a dynamic digital twin model of the vehicle; a multi-dimensional cross-verification mechanism; and a hierarchical decision execution unit, communicatively connected to the information processing and verification unit, for executing hierarchical response operations based on the risk score. By introducing multi-source data fusion and artificial intelligence analysis, this invention significantly improves the accuracy of vehicle model and axle count verification, effectively reducing tolling errors caused by identification mistakes. Through the multi-dimensional cross-verification mechanism, the system achieves real-time comparison and risk warning of vehicle information at entrances and exits, enhancing the real-time identification and prevention capabilities for cheating behaviors such as modified vehicles and hidden axles.

1. The name of the design product: data collector (chassis type). 2. The use of the design product: the design product is used for intelligent testing and analysis of structural mechanical properties in the field of testing, measurement and control. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view 1.

A kind of early warning system based on environmental meteorological parameter to photovoltaic flexible support cable includes the environmental data acquisition unit connected in turn, data transmission and storage unit, data processing and analysis unit, early warning unit;Environmental data acquisition unit acquires original data after transmission to data processing and analysis unit by data transmission and storage unit, data processing and analysis unit send result to early warning unit after processing data, generate early warning information and output after output;It also includes system configuration and management unit, system configuration and management unit are communicated with each unit data respectively to realize whole-process management and control.The present application solves the problems of low efficiency of manual inspection, traditional sensor is easily disturbed, lack of early warning capability in existing photovoltaic flexible support cable monitoring, monitoring is comprehensive and reliable, analysis is accurate, operation and maintenance is efficient and low cost, and adaptability is strong.

This invention relates to the field of inventory management technology and discloses a cross-border e-commerce supply chain multi-platform collaboration and dynamic inventory forecasting management system. The system includes: a data acquisition unit that processes field formats, time granularity, and unit systems based on the heterogeneous data protocols of various cross-border e-commerce platforms, and indexes the processed data using timestamp numbers and platform codes; a structure fusion unit that resamples the data from each cross-border e-commerce platform based on the timestamp numbers in the acquired dataset, and merges records of the same product across multiple platforms based on the product code; a sequence parsing unit that segments the cumulative sales field according to the window span based on the fused structure matrix, and constructs a sequence feature chain based on the feature vectors of each segment; and a trend inference unit that performs difference calculations on the current inventory quantity based on the predicted sales quantity, and determines the replenishment quantity based on the result of the difference calculation. This invention ensures multi-platform collaboration and inventory adaptability to the market.

A device for the autonomous detection of cyber threats, consisting of: a housing that encloses a multitude of interconnected hardware components; a network interface unit configured to receive and send data packets from one or more communication networks; a data acquisition unit that is operationally connected to the network interface unit and configured to capture packet-level data, metadata, and system event logs; a preprocessing processor configured to analyze captured data, decodecode protocols, reconstruct communication flows, and generate structured data representations; a feature extraction processor that is operationally coupled with the preprocessing processor and is configured to calculate statistical, temporal and entropy-based features from the structured data representations; a storage unit consisting of volatile memory for real-time processing and non-volatile memory for storing historical data and learned patterns; an inference processor that is operationally coupled with the feature extraction processor and the storage unit, wherein the inference processor is configured to execute a variety of trained models to identify anomalous behavior based on deviations from stored patterns; a classification unit that is operationally coupled with the inference processor and configured to assign detected anomalies to one or more threat categories based on calculated confidence values; a response control unit configured to generate and transmit remedial actions, including blocking network traffic, isolating network segments, and terminating suspicious processes; and a control processor configured to coordinate the data flow between the network interface unit, the data acquisition unit, the preprocessing processor, the feature extraction processor, the inference processor, the classification unit, the response control unit, and the storage unit, with the device operating autonomously to detect and respond to cyber threats in real time.

This invention provides a 3D model generation device, a 3D model generation method, and a computer program that can improve the accuracy of information about an object. [Solution] The 3D model generation device 100 includes a data acquisition unit 11 that acquires 3D point cloud data representing a 3D point cloud including buildings and structures, a 3D data storage unit 3 that has a data file 21 containing multiple 3D CAD data of structures, and an information processing unit 12 that compares the 3D point cloud data of structures with the 3D CAD data contained in the data file using a learning model 22 and identifies the 3D CAD data that matches the 3D point cloud data from among the multiple 3D CAD data. The information processing unit 12 generates a 3D model of the target object by combining the identified 3D CAD data of structures with the 3D point cloud data of buildings.

The application discloses a novel anti-fake traceability system and method, relates to the technical field of anti-fake traceability, and comprises a data acquisition unit, an abnormality tracing unit and a determination output unit. The data acquisition unit is used for acquiring a product identification code, acquiring business data of a current link through preset data acquisition points of each circulation link, updating and generating a dynamic product unique identification code, determining real-time information data of the product based on a scanning code reading result of the dynamic product unique identification code, synchronously writing the business data of the current link, comparing the real-time information data of the product according to preset scanning code standard data, determining a circulation state of the product, and correspondingly generating abnormal early warning information in the abnormal circulation state of the product. The application can ensure the reliability and timeliness of a tracing result, and also improves the accuracy of abnormal determination of goods diversion.

The application discloses an integrated circuit packaging material stress test system and method, and belongs to the field of integrated circuits. The system comprises a multi-axis stress applying device, an environment control unit, a deformation data acquisition unit and a data analysis module. By applying multi-axis composite stress and using high-precision DIC or FBG sensors to acquire strain data, real-time analysis and prediction are carried out in combination with CNN, LSTM and reinforcement learning algorithms, and the loading path is dynamically optimized. The application realizes complex working condition simulation, accurate capture of micro-deformation and intelligent optimization of the test process, and significantly improves the test precision and efficiency.

This invention relates to the field of power distribution network technology, specifically to an adaptively adjustable reactive power compensation device for power distribution networks. It addresses the problem of low protection for data acquisition units, where excessively high or low internal temperatures can affect normal operation and lead to equipment malfunctions. The device includes a main body for the reactive power compensation, with multiple data acquisition units installed inside. Each data acquisition unit has a omnidirectional airflow cooling mechanism at its rear. This mechanism includes a cooling fan and a rotary drive mechanism. The front end of the cooling fan has an annular air outlet, and an airflow transmission pipe is located inside the annular air outlet. This invention, through a low-temperature protection mechanism and an omnidirectional airflow cooling mechanism, can automatically regulate and protect the temperature of the data acquisition units, ensuring stable operation in suitable environments.

This invention belongs to the field of textile material testing, and relates to a moisture absorption testing device, specifically a moisture absorption testing device, its testing method, and its application. It includes a lifting platform, on which a testing device and a columnar material fixing tube are mounted. The testing device includes a testing plate and a core structure located at the center of the testing plate. The core structure is situated below the columnar material fixing tube and connected to a liquid reservoir via a liquid guide tube. The liquid reservoir is located above an electronic balance; the electronic balance is connected to a data acquisition unit. The dynamic moisture absorption process of the columnar material is recorded and characterized through the testing plate with its upper and lower perforations. This enables performance testing and characterization of upright columnar materials.

This invention proposes a multi-robot operation and maintenance system and method based on digital twins and cloud-edge-device fusion. It belongs to the interdisciplinary fields of intelligent manufacturing, industrial IoT, and human-machine collaborative operation and maintenance. The method includes: constructing a human-machine collaborative data acquisition network by integrating industrial-grade biometric sensors and distributed data acquisition units; deploying standardized interfaces based on a microservice architecture to perform layered preprocessing of multi-source heterogeneous data to generate a fused dataset; and achieving a breakthrough improvement in operation and maintenance efficiency and security through deep integration of biometric perception and digital twin technologies.

This invention provides an intelligent pipeline pressure reduction system based on model predictive control, relating to the field of water supply network pressure regulation technology. The method includes: the system comprises execution, hardware control, data acquisition, and wireless transmission modules; the execution components include a pressure reducing valve and a pilot valve; the hardware control unit integrates a model predictive control module and a Kalman filter-based tracking control module; the data acquisition unit collects pressure data and transmits it wirelessly to the control unit; the dual modules calculate and generate control commands to drive the execution components; the system is configured with a cloud-edge-device three-layer architecture and also includes a multi-power supply unit, supporting both distributed and integrated deployments in pits and wells, and achieving bidirectional communication and parameter collaborative optimization with the cloud computing platform. This invention achieves precise closed-loop regulation of pipeline pressure, adapts to multiple deployment scenarios and power supply requirements, improves the real-time performance and system adaptability of regulation, realizes refined intelligent management of the pipeline network, and reduces pipeline operation risks and energy consumption.

The application relates to the technical field of humidity measurement, in particular to a smart portable terminal device with temperature and humidity detection functions. The device comprises a data acquisition unit for acquiring temperature and humidity at each moment; an effective feature interaction item acquisition unit for acquiring an effective feature interaction item at a moment based on the temperature change rate of the moment and the temperatures of adjacent preset quantities before the moment; a humidity compensation model construction unit for constructing a humidity compensation model; a humidity compensation model order determination unit for acquiring a training set and a verification set; an optimal order of the humidity compensation model is determined according to the training set and the verification set, and an optimal humidity compensation model is obtained; and a humidity compensation unit for adding a compensation value output by the optimal humidity compensation model to humidity output by a sensor to obtain corrected humidity. The application corrects the humidity output by the sensor in the 'electric housekeeper' based on the temperature, and then accurate humidity is obtained.

The present invention discloses a flexible robot deformation control and environment adaptation system based on deep learning, which includes a data acquisition unit, a deep learning control unit, and an execution unit. The data acquisition unit includes a medium characteristic perception module and a material state monitoring module, which respectively collect multi-dimensional physical parameters of the environment and the state parameters of the body material; the deep learning control unit processes the parameters through a preset deep learning model and a closed-loop collaborative control logic and generates deformation control instructions; the execution unit drives the robot to complete the target deformation; through the cooperation of multiple modules and the integration of deep learning algorithms, this system solves the problem of insufficient deformation control accuracy under the coupling influence of the environment and material state in the prior art, and realizes the precise deformation and stable adaptation of the flexible robot in a complex environment.

This invention discloses a method and system for constructing a knowledge graph of an ecological and environmental standards system. The system includes a data acquisition unit, a data standardization processing unit, a logical relationship graph construction unit, and an ecological and environmental standards system knowledge graph construction unit. The data acquisition unit is communicatively connected to the data standardization processing unit, which is also communicatively connected to both the logical relationship graph construction unit and the ecological and environmental standards system knowledge graph construction unit. The logical relationship graph construction unit is also communicatively connected to the ecological and environmental standards system knowledge graph construction unit. This invention uses standards, legal provisions, and technical specifications as its framework, with technical indicators related to standards and specifications as extensions, and entity information related to ecological and environmental supervision as its leaves, to construct a logically clear, traceable, and dynamically updatable knowledge graph.

The present invention provides electronic devices that can control one or more connected devices to perform different actions depending on the type of emergency information. [Solution] The electronic device includes a data acquisition unit that acquires data including emergency information, a control signal generation unit that, upon acquiring the data, generates control signals to one or more first devices that are communicably connected to the electronic device, causing them to perform different actions depending on the type of emergency information contained in the data, and a signal transmission unit that transmits the generated control signals to the one or more first devices.

The application provides a kind of underground cavern microstructure surface quantum sensing detection device, including nanoscale piezoelectric sensor array, data acquisition unit, signal processing unit and structure surface identification unit;Nanoscale piezoelectric sensor array is deployed in surrounding rock surface or borehole, and microseismic signal is detected;Data acquisition unit collects and converts signal into digital signal;Signal processing unit pre-processes and extracts feature data;Structure surface identification unit identifies the position, dip angle and length of microstructure surface based on feature data.The application can detect underground cavern microstructure surface with high sensitivity and high precision, provide important basis for rock mass stability evaluation and engineering design, reduce geological disaster risk and ensure the safety of underground engineering.

The invention is about the realisation of a method of testing and monitoring the performance of a passenger conveying system. A data acquiring unit is continuously gathering data of condition and / or performance of at least one system's component, a diagnostic unit is communicatively coupled to and configured to process the data as gathered by the acquiring unit, and a forwarding unit for communicating data with a cloud-computing-net, the method comprising the semi-automatic or full-automatic execution of the following computer implemented steps of determining by a remote computing unit a running sequence of operation of the system to execute at least one function of the system; Starting an operation action from the determined running sequence by means of the remote computing unit; Causing the acquiring unit to acquire measurement data specified to the operation action; Causing a transfer of the acquired data from the acquiring unit to the diagnostic unit; Causing a forwarding of processed data from the diagnostic unit to the cloud-net; Retrieving the processed data from the cloud-net; Analysing condition data by processing the retrieved data from the cloud-net; Issuing an analytical report that indicates the diagnosis result and making the report available for retrieval in the cloud-net.