25results about How to "Improve data integrity" patented technology

This application discloses a data-processing-based intelligent management method and system for thermal power fuel, comprising the following steps: collecting multi-dimensional data of the entire life cycle of thermal power fuel; cleaning, standardizing, and fusing the collected multi-dimensional data to obtain pre-processed fuel data; constructing a multi-dimensional analysis model to analyze the pre-processed fuel data, comparing the analysis results with preset condition information, generating procurement adjustment instructions, inventory scheduling instructions, coal blending execution instructions, and equipment operation and maintenance early warning instructions, and pushing the instructions to the corresponding execution terminals, collecting feedback data in real time during the instruction execution process; obtaining instruction execution status data based on the feedback data, visualizing the instruction execution status data, fuel data, and analysis results, and generating multi-dimensional statistical reports; this invention establishes a unified data collection and integration mechanism, breaks down data barriers at each stage, and forms a complete data link for the entire fuel life cycle.

This application discloses a ship-to-shore information communication method and apparatus, relating to the technical field of coastal communication. The method includes: responding to receiving an encrypted data packet from a ship-based or shore-based IPSec security gateway device; if the packet's message structure is an ESP protocol message, then searching for an encryption algorithm and security specification according to the security parameter index; after verifying the integrity of the ESP message in the data packet according to the encryption algorithm and security specification, detecting whether the data packet is a replay attack; if the data packet is not a replay attack, then decrypting the data packet in reverse according to the encryption algorithm and security specification, obtaining and sending the original IP data to the core network layer for subsequent processing and forwarding. This method ensures the integrity and privacy of transmitted data in high-security scenarios such as ship-to-shore communication.

The invention provides a document synchronization method and device, a storage medium and electronic equipment. The method comprises the steps of obtaining first document content of a to-be-synchronized target local document, and obtaining a document content version of a target cloud document corresponding to the target local document in current cloud storage; second document content is determined based on the document content version, and a first document change operation set is determined according to the difference between the first document content and the second document content; generating a first document synchronization instruction according to the first document change operation set; and sending the first document synchronization instruction to the target server, so that the target server updates the content of the target cloud document based on the first document synchronization instruction. Only the change data is transmitted to the server, redundant data and meaningless time consumption generated by full-amount synchronization are reduced, the change operation is re-determined based on the document content indicated by the cloud document version, data loss or coverage errors of the cloud document are avoided, and data consistency and integrity in the data synchronization process are improved.

The application discloses a radar detection blind area wind field fine reconstruction method of anemometer cooperative networking, and specific steps are as follows: firstly, real-time separation of vibration displacement caused wind speed measurement deviation eliminates vibration interference, data automatic diagnosis and repair are carried out based on machine learning, and wind speed data integrity and measurement continuity are optimized; secondly, a supersonic anemometer array optimization arrangement method facing global wind field perception is established, time and space consistency calibration of multi-sensor data is realized, and the precision and reliability of wind speed measurement are improved; finally, data-physical fusion bridge flow field high-resolution intelligent reconstruction is carried out, and the data integrity of a complex flow field region is improved. The reconstruction method effectively cooperates the wind measurement laser radar and the anemometer, can play the advantages of high-frequency single-point measurement and wide-area space scanning of the two, and is expected to realize high-precision reconstruction of the global flow field of the bridge, and provide reliable support for guaranteeing the wind resistance safety of the long-span bridge.

The application relates to the field of robot control, in particular to a multi-modal perception pipeline inspection robot control method and an inspection robot. The method comprises the following steps: based on the inspection robot, pipeline detection perception is carried out, and a real-time three-dimensional structure map is generated; the real-time three-dimensional structure map is compressed and uploaded to a cloud monitoring platform; when the cloud monitoring platform receives the real-time three-dimensional structure map, spatial topology analysis is carried out, an inspection instruction is generated, and the inspection instruction is sent to the pipeline internal inspection robot; the internal inspection robot receives the inspection instruction, carries out adaptive path planning, and generates a path execution sequence; the inspection robot carries out dynamic inspection operation based on the path execution sequence, synchronously collects data and returns the data to the cloud monitoring platform, and completes the inspection control operation. The application realizes high-precision and automatic buried oil pipeline inspection operation, and improves the detection efficiency and safety of the buried oil pipeline.

The invention discloses an equestrian competition performance prediction system based on multi-modal monitoring, and relates to the technical field of equestrian sport monitoring and intelligent prediction. The system comprises an acquisition module, a processing module, a prediction module, a display module and a data closed-loop optimization mechanism. The acquisition module is used for acquiring horse video and physiological and environmental multi-modal data through multiple types of equipment; the processing module is used for realizing data fusion processing, gait behavior recognition and facial expression emotion evaluation; the prediction module outputs a competitive performance quantitative score and risk early warning based on a machine learning model; the display module provides a visual interaction interface; and the data closed-loop optimization mechanism realizes model iterative optimization through competition result return. According to the method, the problems of single monitoring dimension, data splitting, lack of prediction capability and the like in the prior art are solved, comprehensive perception of horse states and accurate prediction of competitive performance are realized, the scientific level of training management is improved, and the method has wide practical prospects and industrialization values.

The application discloses a computer network security situation intelligent prediction method based on big data analysis, and comprises the following steps: obtaining a standardized security data set; performing feature extraction to obtain a multi-dimensional security feature set; constructing a network asset graph and determining a target priority sequence; constructing an attack target set, performing probability modeling, and obtaining an attack intention probability distribution model; generating an attack path set; constructing an attack path evolution sequence, screening and sorting the attack path evolution sequence by using MCDM decision, and obtaining a target attack path set; performing risk assessment processing to obtain a risk value corresponding to each attack path, and performing aggregation processing to generate a network security situation assessment result; generating a network security situation prediction result within a preset time range, and outputting risk change trend information, so that global modeling of the network security situation and early prediction of the future risk change trend are realized.

The invention discloses a self-powered sports protector based on composite energy collection and intelligent scheduling, and belongs to the technical field of wearable equipment and energy collection. The protector comprises a flexible base body, a composite energy collection module, an energy management circuit, a customizable function module and an intelligent control unit. The composite energy collection module is mainly composed of a flexible temperature difference power generation unit, efficiently captures the temperature difference between the skin of the human body joint part and the environment during movement and converts the temperature difference into electric energy; and a piezoelectric or triboelectric nano generator can be integrated to capture motion mechanical energy, so that thermoelectric-mechanical electric composite energy is formed. The problem that a traditional intelligent protector depends on an external power source is solved, multiple requirements can be met through modular design, building of a joint health digital model is supported based on continuously-collected data, and jumping from intelligent protection to a personal exercise health management platform is achieved.

The application discloses a kind of ship navigation intelligent obstacle avoidance methods based on multi-modal perception, it is related to ship intelligent navigation technical field, including the following steps: acquisition multi-modal perception data and standardization, generate ship navigation perception dataset;Arrange perception node, generate ship multi-node perception layout;Establish ship circumferential perception coordinates and generate ship circumferential layered covering relationship;Divide far distance early warning area, near distance identification area and berthing monitoring area, generate ship zoned perception state;Process far distance radar data and near distance millimeter wave radar data, generate radar target perception result;Process visual image data, generate visual target perception result and ship look-around panoramic image;Match radar target perception result and visual target perception result, combined with ship body attitude change is directed to compensation and collision risk judgment, generate ship navigation intelligent obstacle avoidance result.The application has the advantages of wide perception range, target fusion accuracy and obstacle avoidance judgment stability.

The present application relates to the technical field of intelligent measurement, engineering surveying and mapping and three-dimensional digital modeling, and particularly relates to a high-precision controllable three-dimensional scanning site optimization method based on a genetic algorithm: the genetic algorithm is used to optimize the layout of three-dimensional scanning sites, and a high-precision, self-adaptive and efficient scanning scheme is realized. Compared with the traditional uniform station distribution method or the experience-based site selection method, the present method can dynamically adjust the sites according to the given error requirement, ensure the measurement accuracy, optimize the number of sites, improve the scanning efficiency and data integrity. Intelligent optimization calculation reduces manual intervention, improves the automation level of surveying and mapping, and can be widely applied to high-precision measurement of complex structures such as bridges, prefabricated buildings, steel structures and the like, and has high engineering popularization value and application prospect.

This invention belongs to the field of dam safety monitoring, specifically relating to a dam structure monitoring system based on intelligent temperature and strain sensing. It includes a sensing unit installed within the dam foundation, connected to a monitoring instrument. A monitoring hole is provided within the dam foundation. The sensing unit includes a fiber optic strain sensor and a fiber optic temperature sensor. The temperature sensor is located at the bottom of the monitoring hole, and the strain sensor is located on the circumferential sidewall of the monitoring hole. This invention achieves coordinated acquisition of temperature and strain parameters, overcoming the shortcomings of insufficient sensing dimensions of a single sensor. The invention also discloses an installation method for the dam structure monitoring system. Through a double-sealing design—using a polyurethane foam filling layer to bury the sensing unit and a sealing cap combined with weather-resistant adhesive to seal the monitoring hole opening—a reliable waterproof and moisture-proof structure is formed, further ensuring the stability of the sensing unit's operating environment.

The present application relates to the field of data processing, and particularly relates to a medical waste whole-process traceability and risk early warning method and system. The method comprises the following steps: generating loss labels and constructing matching pairs; determining feature weights of corresponding features of a pre-training neural network; obtaining a predicted category of each loss label; comparing the predicted category of the loss label with a historical category of an unscanned transfer label; if the categories are consistent, calculating a current weight difference between each known label and the loss label, and a historical weight difference between each known label and the unscanned transfer label, and calculating a preliminary matching measure; generating a weight penalty term; fusing the preliminary matching measure and the weight penalty term to generate a final matching cost of each matching pair for global optimal matching, and determining whole-process traceability information for the loss label that is successfully matched. The present application can improve the robustness of medical waste whole-process traceability and reduce the cost of manual verification.

The utility model relates to data acquisition equipment technical field especially relates to a kind of integrated device and equipment based on binocular camera, including power input, voltage stabilizing module, synchronous control panel, combined navigation, first camera, second camera and acquisition mainboard;Voltage stabilizing module input end is connected power input, output end is connected respectively the input end of synchronous control panel, combined navigation and acquisition mainboard;Synchronous control panel input end is connected combined navigation output end, output end is connected respectively the input end of first camera, second camera and acquisition mainboard;First camera and second camera output end are connected acquisition mainboard input end.The utility model is through module integration and direct connection design, realizes integrated operation, ensures system stability, through synchronous control panel linkage combined navigation and camera can eliminate signal delay, improve positioning accuracy, through camera direct connection mainboard can avoid image transmission interference, guarantee data integrity, in addition, it also reduces operation risk.

The invention relates to underwater portable acousto-optic detection equipment which comprises an equipment mechanism main body, a sonar module, an adjustable sleeve structure and a camera fixing device, the sonar module is fixed on the equipment mechanism main body in a sleeve form and is used for loading sonar equipment; the adjustable sleeve structure is fixed to the tail end of the equipment mechanism body and used for adjusting the extension distance of the tail end camera. The equipment mechanism main body comprises a control handle, a fixed rod, a telescopic rod, a locking device and a tail end angle changing structure; the telescopic rod and the fixed rod are locked together through a locking device so as to extend or retract in a sliding manner relative to the fixed rod; the torsion angle of the tail end angle changing structure is controlled through the control handle. Compared with the prior art, the device designed by the invention is particularly suitable for hidden structure detection with special requirements on detection angles and visual fields, and provides a reliable and efficient technical means for underwater safety operation, project acceptance and emergency investigation.

This invention discloses an adjustment device for a laser scanner, relating to the field of laser mapping technology. It includes a hollow outer rod and an inner rod. A guide rod is connected to the bottom inner wall of the outer rod. The inner rod is disposed inside the outer rod and slidably connected to the guide rod. The upper end of the inner rod penetrates the top of the outer rod and extends to the outside. A scanner body is mounted at the bottom of the outer rod and is used to perform laser scanning of stairwells to obtain three-dimensional image data. This invention utilizes the inherent stairwell gaps in building stairwells as a climbing channel. Through the relative extension and retraction of the outer and inner rods, combined with the alternating support of the upper and lower climbing mechanisms, the device achieves autonomous, floor-by-floor climbing within the stairwell. This avoids obstructing normal passage of people in the stairwell due to the equipment occupying the steps, significantly improving the applicability and convenience of the equipment in public buildings.

The application discloses a kind of multimode valve life test device and its fault control isolation method, wherein a kind of multimode valve life test device involved, including host computer, for setting test parameters;Wherein test parameters include test mode parameters, valve feedback type parameters;Lower computer controller is connected with host computer, for determining current test mode according to test parameters and the in-place determination rule of each valve, and according to the data determined to valve drive module sends control instruction;Valve drive module is connected with lower computer controller, for driving multiple valves to be measured according to the control instruction sent by lower computer controller;Signal acquisition module is connected with lower computer controller, for collecting the status signal generated after each valve to be measured acts, and the status signal collected is output to lower computer controller, to make lower computer controller judge and count test times or record fault to received status signal.

The invention provides an intelligent wire impact life testing device suitable for a synchrotron radiation light source. The system comprises a wire fixing system, an intelligent prestress control system, an intelligent bullet position control system, an intelligent electromagnetic drive control system, a high-precision laser speed measurement control system, a high-speed imaging control system suitable for a synchrotron radiation light source, and a computer host control system. The computer host control system provides a computer host and writes programs through the computer host to send program instructions to the intelligent prestress control system, the intelligent bullet position control system, the intelligent electromagnetic drive control rod system, the high-precision laser speed measurement control system and the high-speed imaging control system suitable for the synchrotron radiation light source. The device is easy and convenient to operate, safe, reliable and high in repeatability, transverse impact cyclic loading of the single wire under different impact speeds and different pre-tightening forces can be achieved, and microstructure in-situ observation can be carried out in cooperation with a synchrotron radiation light source.

The invention relates to the technical field of gas safety monitoring, in particular to a valve well gas leakage detection and early warning system and method, and the system comprises a multi-type sensing device, a data collection module, an edge computing node, a self-learning model unit, a sensor layout optimization module, a linkage control execution unit, a data safety transmission module and a remote monitoring platform. Through multi-source data fusion analysis, dynamic adjustment of sensor layout positions, anomaly detection and trend prediction, and in combination with a linkage response mechanism, precise early warning and rapid disposal of gas leakage are realized. The problems that a single sensor is fixedly arranged and the false alarm rate is high can be solved, and the safety and the emergency response efficiency of a gas pipe network are improved.

This invention provides a data transmission method and system for smart devices based on a 5G communication module. The data transmission method includes: real-time hierarchical processing of data packets to be transmitted according to a preset hierarchical strategy; real-time monitoring and acquisition of communication link status parameters, and prediction of the service quality change trend of each communication link within a short future time window based on historical status data using a time series prediction model; dynamic decision-making on the transmission path and transmission mode of single or batch data packets based on the priority of the data packets and the current and predicted communication link status, using a preset communication optimization strategy; encrypting the data packets using a data security strategy selected according to the priority and security requirement level of the data packets; and sending the encrypted data packets to a network edge node or cloud as the receiving end. This invention effectively ensures the low latency and high reliability transmission requirements of high-priority data, reducing overall energy consumption and traffic costs under 5G networks.

This application provides a method for generating digital waybills for freight vehicles based on on-board weighing equipment, comprising: continuously collecting the original weight data sequence output by the vehicle weighing sensor, removing high-frequency noise using a low-pass filtering algorithm to obtain a smoothed weight data sequence; grouping the trend change segment sequence using a clustering algorithm, extracting the average amplitude and duration of each cluster based on the grouping results to obtain a classified candidate set of loading and unloading events; updating the vehicle's empty and weight status using the actual loading and unloading event sequence, and determining that if a weight increase event is followed by a weight decrease event, it is considered as alternating loading and unloading en route, thus obtaining a continuous status tracking chain; and summarizing the starting weight change point and the ending weight change point from the grouped transport record set to generate a digital waybill data structure containing the complete lifecycle.

The application discloses an optical imaging system and method integrating optical imaging and coding aperture technology, aiming to integrate the dispersed polarization components in the reflected light signal into hierarchical coded light field data by constructing a polarization coding modulation system, and highlight the coupling relationship between optical elements; adopt refocusing sequence and focal plane tomography technology to fully tap the spatial geometric information and light intensity distribution characteristics of different depth layers, and reveal the three-dimensional distribution law of the surface topography; introduce wavefront correction and deformable mirror control technology to adaptively adjust the imaging parameters of the optical system, and expand the application range of the measurement precision; combine light intensity modulation analysis and phase unwrapping window processing to depict the change trend of the surface curvature and grasp the key feature points of the topography measurement; finally, fuse the multi-dimensional and multi-level optical measurement information to form three-dimensional measurement output with rich content and reliable precision, and provide comprehensive and high-quality measurement technology resources for application scenarios such as precision optical detection and surface quality evaluation.

The invention particularly relates to a nuclear power plant operator station time sequence data access method based on an Internet of Things time sequence database, and belongs to the field of industrial time sequence databases, and the method comprises the following steps: S1, data collection: obtaining time sequence data from a data server, and temporarily storing the time sequence data in a shared memory through a hash table; s2, storage optimization: obtaining time sequence data from the shared memory, and writing the data into an Internet of Things time sequence database by adopting a batch insertion mode; and S3, query service: providing a query interface at an operator station, responding to a query request, retrieving time sequence data from the time sequence database of the Internet of Things, and returning the time sequence data. The invention further relates to a nuclear power plant operator station time sequence data access device based on the internet of things time sequence database, computer equipment and a storage medium. According to the invention, efficient storage, efficient compression and efficient reading of the time series data are realized.

The invention discloses an ultrasonic probe data transmission method and system based on edge computing, and the method comprises the steps: responding to a monitoring start instruction, and transmitting a plurality of synchronous beacons to a plurality of ultrasonic probes based on wireless broadcasting; acquiring ultrasonic echo data detected by the ultrasonic probe based on the synchronous beacon; processing the ultrasonic echo data by an edge computing node to obtain processing result data; and storing the processing result data to a memory of the edge computing node and sending the processing result data to a cloud computing node. Therefore, according to the invention, multi-probe high-synchronization and low-delay distributed ultrasonic data acquisition and edge processing can be realized, the time sequence consistency and data integrity of multi-point monitoring are improved, and the risk of monitoring data distortion caused by time desynchrony or transmission delay is reduced.

This invention relates to the field of storage technology and discloses a data storage method, system, device, and medium. The method includes: determining whether the network path corresponding to the read / write request is in a fault state based on the response message corresponding to the read / write request; in response to the network path being in a fault state, acquiring target data based on the read / write request; encapsulating the target data and caching the encapsulated target data to an external preset storage device; monitoring whether the corresponding network path has recovered to a healthy state; and in response to the network path recovering to a healthy state, storing the memory data corresponding to the read / write request to the target storage device based on the preset storage device. This invention avoids the problem of external storage being unable to write data normally when a SAN network or SAN storage device fails, enhancing the data reliability and integrity of the SAN storage device in fault scenarios.