58results about How to "Improve data integrity" patented technology

The invention provides a semiconductor equipment data acquisition method and a semiconductor equipment data acquisition system supporting standardized communication transformation, which are used for realizing data acquisition and process control on different types of semiconductor equipment, formulating corresponding communication rules for equipment conforming to a communication standard, and converting an equipment communication protocol by a cluster system so as to match a standard interface. For equipment which does not completely meet the standard but can realize communication through programming, the trunking system directly acquires required data and converts the required data to meet the standard interface specification. For equipment without communication capability, data is acquired through an equipment interface by adopting an image recognition technology, data input and function operation are realized through simulating keyboard and mouse operation, and finally, protocol conversion from data to a standard interface is completed by a cluster equipment control system. And the equipment data is converted into a message data packet conforming to a standard semiconductor equipment communication interface, so that docking with a semiconductor equipment data analysis and process control system is realized, and the production efficiency and quality of the semiconductor equipment are improved.

The invention relates to the technical field of data processing, in particular to a cloud computing-based software development application data processing method, which comprises the following steps of: collecting original data generated by software development application from a plurality of heterogeneous data sources in real time through a distributed data acquisition module; cleaning, filtering and formatting the original data, removing noise data and redundant information, and generating a standardized data set; the standardized data set is fragmented according to a preset fragmentation strategy; analyzing the stored data in real time by using the parallel processing capability of cloud computing to generate an analysis result; a result storage and updating step; a data visualization step; a security and authority management step; and an anomaly detection and fault-tolerant processing step. According to the method, the data processing speed and the throughput of the system are improved, and the requirement for real-time feedback in an agile development environment is met.

The invention provides a gateway power supply circuit, a circuit board and edge gateway equipment, relates to the technical field of electronic circuits, and solves the problem of poor stability of the edge gateway equipment in the related art. The gateway power supply circuit realizes real-time monitoring of a main power supply voltage, and once it is detected that the main power supply voltage exceeds a preset safety range, the edge gateway equipment can be switched off. When the power supply fails, the system immediately triggers a power supply switching mechanism and seamlessly switches to the auxiliary power supply to supply power, so that the downtime of equipment caused by power supply failure is greatly shortened, and the continuity and the stability of the system are ensured. And when the power supply is suddenly interrupted, the power supply of a key circuit can be quickly cut off, and the power supply can be used as a back-up power supply to quickly provide electric energy support through a high-performance super capacitor, so that key data is not lost, and the data safety and integrity of the system are effectively protected.

The invention provides an IP (Internet Protocol) sealing control method and system based on website data. The method comprises the following steps: acquiring user access track data; monitoring the IP address of each access website according to the user access track data; inputting the IP address of each access website into a supervised learning model to obtain an abnormal IP address; adding the abnormal IP address into a sealing control IP list; determining access authority limits of different degrees according to the sealing control times of the abnormal IP address; by identifying the abnormal IP address, the access authority of the abnormal IP address is limited, so that malicious data acquisition is prevented, and the data security and integrity of a website are protected.

The invention discloses a distributed cross-network segment file transmission method. The method comprises the following steps of S1, deploying a file transmission service in a local area network; s2, carrying out transmission node registration among the local area networks through a file transmission service; s3, determining a transmission path according to whether a target node is contained in the local area network; s4, after a transmission path is obtained, encrypting the file fragments according to path information, and sending the encrypted file fragments to a next transmission node; s5, the receiving node decrypts the data packet according to the source node information and continues to transmit the data packet according to the routing information until the data packet arrives at the destination; s6, after receiving all the fragmented data, the receiver returns confirmation information of successful receiving to the sender; and S7, if the sender does not receive the receiving confirmation for a long time, re-sending the unconfirmed fragmented data packet. According to the invention, the file transmission efficiency and security are improved, and the reliability and stability of the system are enhanced.

The invention provides a green power data multi-source heterogeneous convergence and tamper-proof accounting authentication method and system, and relates to the technical field of power, and the method comprises the steps: obtaining green power related data from a plurality of data sources, carrying out the standardization processing of the data, generating a digital signature through employing an elliptic curve cryptographic algorithm, and constructing a tamper-proof storage network based on a block chain technology. And performing data cleaning and anomaly detection by adopting a deep learning model, establishing a power balance model to calculate the actual green power consumption amount, generating an accounting report, and uploading the accounting report to a block chain network for evidence storage. According to the method, safe and credible convergence and accounting authentication of the green power data are realized, and the efficiency and reliability of green power management are improved.

The invention relates to the technical field of bridge engineering, and discloses a novel damping vibration attenuation intelligent bridge support which comprises a bottom plate, a top plate is arranged at the top of the bottom plate, and the bottom plate is connected with the top plate through a connecting rod; the damping assembly is arranged between the bottom plate and the top plate and used for conducting damping operation when the damping assembly is stressed; the extrusion plate is fixed at the bottom of the top plate and is used for generating a force effect on the damping assembly; the limiting frame is fixed to the top of the bottom plate and used for limiting the force application direction of the extrusion plate; the sensing assemblies are arranged in the limiting frame in an annular array mode and used for monitoring the state of the equipment in a multi-azimuth mode when the equipment is stressed. External impact force is effectively absorbed and dissipated layer by layer, the top plate is buffered for the first time, and then the extrusion plate and the damping assembly are used for buffering for the second time and the third time, so that equipment still keeps stable when bearing large loads and vibration, the overall damping effect of the bridge support is improved, the service life of the structure is prolonged, and the service life of the bridge support is prolonged. And the possibility of fatigue damage is reduced.

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 invention discloses a power transmission line tower inclination monitoring control method and system, and relates to the technical field of power transmission line monitoring, and the method comprises the steps: carrying out the initialization and function testing of a first module; installing and calibrating the first module; a first alarm decision is made based on the status check. According to the power transmission line tower inclination monitoring control method, the reliability of the module alarm function is verified one by one, the fault module is eliminated, and normal operation of follow-up monitoring is guaranteed. And through distributed installation of qualified modules, each tower is equipped with a plurality of monitoring modules, so that the coverage rate and the detection sensitivity of monitoring are improved, and the accurate sensing of the inclination state of the tower is ensured. Intelligent judgment is carried out according to the proportion that the number of the alarm modules reaches two thirds, and the manual inspection frequency is simplified. According to the invention, through a complete monitoring and alarm mechanism, accurate and reliable monitoring and early warning are provided for inclination of the power transmission line tower, and the operation safety and maintenance efficiency of a power transmission system are greatly 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 invention relates to the technical field of data processing, in particular to an unmanned aerial vehicle edge network efficient data collection method and device based on data importance. Comprises: determining a target area in which an unmanned aerial vehicle is to fly in a to-be-collected area; generating a target flight path for the unmanned aerial vehicle according to the target area; under the condition that a preset common area exists between any two adjacent target areas, the target flight path is updated according to the common area; controlling the unmanned aerial vehicle to fly according to the updated target flight path, and collecting data in all areas in the updated target flight path; data completion is carried out according to the data to obtain the overall data of the to-be-collected area, the length of the flight path of the unmanned aerial vehicle is reduced, the flight cost is reduced, and the data integrity is improved.

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 invention discloses an Internet of Things anomaly detection security optimization technology based on data tampering defense, which comprises a plurality of sensing nodes and a cluster head node, and is characterized by further comprising a modeling method of a security tradeoff (ST) problem, the modeling method for the security balance (ST) problem comprises data transmission and anomaly detection, a comprehensive detection rate, a comprehensive false alarm rate and a linear programming model, an efficient, reliable and easy-to-implement ADS management strategy brings innovative technical progress for the field of Internet of Things security, and the protection capability of Internet of Things equipment in the face of complex security threats is remarkably improved.

According to the distribution network unmanned aerial vehicle data collecting, recording and governance method provided by the invention, a static graph of a power grid, a homologous maintenance tool and the like are integrated, a data governance micro-application is constructed by means of an unmanned aerial vehicle inspection platform, and an intelligent data collecting and recording mode improves the efficiency and accuracy of data collection; an auditing and response mechanism of the data governance list ensures the quality and availability of the data, and the governance level of the power grid data is effectively improved; the scheme comprises the following steps: step 1, collecting and recording data; comprising unmanned aerial vehicle collection and recording and data management APP collection and recording; step 2, returning an acquisition and recording result to the unmanned aerial vehicle inspection platform; step 3, performing data processing and graph comparison on an acquisition and recording result to generate a data governance list, and then performing data governance list auditing; a static graph of the power grid is called in the step 3; 4, if not, returning to the step 3; and 5, submitting a data governance list, calling a homologous maintenance to-be-handled work order generation interface, and pushing the data governance list in response to an auditing result.

The invention relates to the field of computer vision, and discloses a method and system for realizing three-dimensional visual display of a ship based on digitization, and the method comprises the steps: collecting panoramic data of a to-be-modeled ship, carrying out the geometric correction of a panoramic image of the ship, obtaining a geometric correction panoramic image, recognizing the image feature points of the geometric correction panoramic image, and carrying out the modeling of the to-be-modeled ship. Matching the image feature points to obtain matched image feature points; pixel depth information of the geometric correction panoramic image is calculated, and an initial three-dimensional model of the ship to be modeled is established; marking ship components of the initial three-dimensional model, identifying component functions of the ship components, and performing virtual function layout on the ship components to obtain function layout components; and optimizing the initial three-dimensional model to obtain a ship panoramic state three-dimensional model, and visualizing the ship panoramic state three-dimensional model to obtain a visualized panoramic state three-dimensional model of the ship to be modeled. According to the invention, the three-dimensional visual display effect of the ship can be improved.

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.

The invention provides a node communication judgment method and device, terminal equipment and a storage medium, and the method comprises the steps: obtaining slave nodes contained in a communication system, dividing a single data judgment period into a plurality of continuous communication periods according to first communication time required for completing one-time complete data communication between the master node and each slave node; performing cyclic communication judgment on each data judgment period, and when any one communication period in which communication between the master node and the slave node is successful exists in a single data judgment period, judging that the node communication result of the data judgment period is successful communication; wherein when the slave node receives the data sent by the master node, it is judged that communication between the master node and the slave node in the communication period is successful. According to the invention, the accuracy of wireless communication judgment between the nodes can be improved.

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.

The invention discloses a hard disk file writing method, system and equipment and a storage medium, belongs to the technical field of embedded systems, computer storage and file management, and solves the problem of low target file writing efficiency caused by CPU performance bottleneck in an existing file writing mode. Comprising the following steps that S1, a PS end calls a file management function of an operating system, and a target file is opened; s2, acquiring a logic storage position of the data area of the target file in the hard disk, and positioning the position of the data area of the target file in the hard disk by the PL end; s3, after the PL end writes data into the hard disk of the data area of the target file, the hard disk of the data area of the target file stores the written data, and the PS end closes the target file; and S4, the PS end synchronizes the write-in data with the write-in data stored in the hard disk of the data area of the target file.

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.