73results about How to "Facilitate data analysis" patented technology

The invention discloses a safe and rapid storage method and system for image data of an imaging department, and relates to the technical field of medical image data processing. The method comprises the following steps: 1, designing a distributed storage system, and selecting and configuring storage nodes; 2, selecting and updating an encryption algorithm, and implementing file-level and block-level encryption; 3, realizing accurate data deduplication by utilizing a machine learning technology, and selecting a proper compression algorithm; 4, constructing an index system, and establishing a data warehouse and a data lake by using big data analysis and machine learning technologies; 5, establishing an image data backup and recovery mechanism; and 6, constructing a data integrity checking and monitoring system. According to the invention, by adopting the technologies of distributed storage, encryption, data deduplication, compression, big data analysis, machine learning, backup and recovery, data integrity verification, monitoring and early warning and the like, efficient storage and safety protection of image data are realized.

The invention provides a circuit test system and method and related equipment, and the test system comprises a test mold, electronic test equipment and computing equipment, can test a plurality of circuit parameters in parallel, can complete a large number of tests in a short time for circuit boards produced in batches, can run according to a preset program, and is high in test efficiency. The test result is more accurate and stable, a high-precision test instrument can be equipped, tiny voltage and current changes can be accurately measured, the device has the characteristics of high efficiency and stability, the test cost can be reduced, defective circuit boards can be found and removed in time, defective products are prevented from flowing into the next process, the defective products are prevented from flowing out, and the rework cost is reduced. The test data can be automatically recorded and stored, subsequent data analysis and quality tracing are facilitated, and the test system has obvious advantages in the aspects of efficiency, precision, cost, data management, repeatability and the like and is suitable for large-scale and high-precision circuit board production requirements.

The invention discloses an application model generation method and device based on a low-code platform and a medium, and relates to the technical field of low-code application models. The method comprises the steps that user service data are collected, the service data are stored through forms, and the forms comprise a main form and sub-forms; the relation between the main form and the sub-form is identified, model elements are obtained, and the model elements comprise business entities, sub-entities, entity relations, value objects and aggregation roots; an external dictionary is introduced, model elements are expressed through JSON, and a visual script model is generated; packaging the script model to obtain a deployment package, and dynamically publishing the deployment package to a database; and when the database exports the deployment package, storing the deployment package as a JSON file, and compressing and encrypting the JSON file. According to the method, after the form is abstracted into the model, higher-degree reuse can be achieved, the workload of repeated model design and application and form development is reduced, and the development process is faster.

The invention discloses a multi-spectral imaging system and method in a single-pixel type ultraviolet-visible-infrared wide spectral range. The system comprises a light source module, a modulation device, a lens group, a multi-spectral detection module, a multi-channel data acquisition module and a data processing module, according to the invention, a plurality of narrow-band detectors with different spectral responses are introduced into the multispectral detection module, so that additional light splitting devices and light filtering devices are avoided, parameters such as view fields, view angles and pixel numbers of images obtained by using different narrow-band detectors are completely the same, the problem of image registration does not exist, and data analysis and image fusion are facilitated; in addition, the size of the narrow-band detector is basically not limited and can reach the centimeter magnitude, and the imaging capability is improved under the condition of weak light. The multispectral imaging system provided by the invention has the characteristics of single-pixel imaging, large number of spectrums, wide spectral range, high imaging speed, good temporal-spatial resolution and small size.

The invention provides a model training method, an industrial internet anomaly detection method and a related device, and relates to the field of industrial internet. The model training method comprises the following steps: acquiring a training sample comprising a plurality of time sequence data samples; inputting the training sample into a domain projection module to perform feature extraction of a unified dimension to obtain a plurality of target features of a target dimension; inputting the plurality of target features into a feature mixing enhancement module for feature mixing enhancement processing to obtain positive features and negative features of a plurality of target dimensions; inputting the target features, the positive features and the negative features into an anomaly detection module for anomaly detection processing to obtain inter-block characterization and intra-block characterization corresponding to each feature, and characterization loss between the inter-block characterization and the intra-block characterization; and adjusting parameters of the anomaly detection model based on a first alignment loss among the plurality of target features, a second alignment loss among the plurality of in-block representations and a target loss determined by the representation loss, and obtaining the anomaly detection model with relatively good generalization ability.

The invention discloses an ultrathin electronic glass roller way speed measurement support and a speed measurement method, and the support comprises a support which is connected to a mounting disc for fixing a supporting roller through a bolt, the support is fixedly provided with an encoder, a detection shaft of the encoder is connected with a connecting disc through a coupler, the connecting disc is clamped at the end part of the supporting roller, and a signal of the coupler is connected with a speedometer. And a driving control system and an alarm of the supporting roller are connected through a linear speed meter. The effect of improving the roller way rotating speed detection precision and frequency is achieved.

The invention discloses a financial service platform and method supporting dynamic product access and data backflow, belongs to the technical field of data transmission, and aims to solve the technical problem of how to quickly and flexibly access different financial institution products and realize efficient data backflow. Comprising a user interaction interface, a product access configuration module, a dynamic access engine, a data analysis module, a data backflow module, a security convergence module and a database, rapid access of financial institution products is achieved in a configuration mode, and the development time and cost are greatly reduced; the dynamic access engine can adapt to product interface changes of different financial institutions, and the flexibility and expandability of the system are improved; the data backflow module realizes efficient backflow of data, provides rich data support for a financial service platform, and facilitates data analysis and decision making.

The invention relates to the technical field of electronic medical record management, in particular to a grading and classifying auxiliary management system for critical case specialized electronic medical record information. Firstly, an electronic medical record of a severe pneumonia patient is acquired through a data acquisition module; further acquiring a vertebra region and a corrected rib region in the target image through a vertebra and rib positioning module; further obtaining a pneumonia lesion index of the target image through a lesion analysis module; finally, in a medical record classification module, the electronic medical records are preliminarily divided into a serious class or a gentle class according to the character information; and classifying the electronic medical records according to the time sequence change characteristics of the pneumonia lesion index of the chest X-ray film of the patient in combination with the distribution characteristics of the sheet density increasing shadow area.

The invention discloses a device and a method for rapidly evaluating physical and mechanical properties of waste concrete. Comprising a test box cover plate, a blower nozzle, a drying test bin top plate, a heating device, an aggregate bin, a drying test bin water outlet, a water storage tank, an aggregate bin bottom plate with a force sensor, a vibrating screen, a screen residue bin bottom plate with a force sensor, a pressurizing device, a water saturation test bin water outlet, a water saturation test bin top plate, a water injection nozzle, an infrared distance measuring sensor, a pressurizing opening and a control system. The drying test bin is connected with the water saturation test bin. According to the invention, the compressive strength, softening coefficient and crushing index of the waste concrete can be tested, the test time is obviously shortened, the intelligent degree of the test process is high, the physical and mechanical properties of the waste concrete can be more comprehensively evaluated, and the resource utilization of the waste concrete is promoted.

The embodiment of the invention provides a data processing method and device based on a financial system, electronic equipment and a medium, and belongs to the technical field of financial science and technology. The method comprises the following steps: determining associated service software bound with a financial system, and obtaining a software category of the associated service software; for each associated service software, creating a timed task according to the software category, and creating a transaction flow table according to the timed task; obtaining a transaction flow record of the financial system within a preset duration; based on the timed task, obtaining a transaction file of the associated service software within a preset duration, the transaction file being used for representing transaction flow details of the associated service software within the preset duration; performing field association on the flow water meter field and the transaction file to obtain a transaction wide table; and comparing the transaction file with the transaction flow record through the transaction wide table to obtain a data analysis result. According to the embodiment of the invention, automatic comparison of data can be realized, and the overall efficiency of data comparison is improved.

The invention relates to the technical field of data processing, in particular to an industrial control protocol field content-based classification and grading method, which comprises the following steps of: acquiring original data streams of industrial equipment, performing primary data processing to obtain corresponding standard data streams, analyzing data frames in the standard data streams through a protocol analyzer, and storing the data frames in the standard data streams; the classification type of the standard data stream is determined according to the field content, key fields of all the data frames are extracted, feature vector groups are defined according to service requirements to determine key features of the data frames based on the key fields, and the data positioning trend is determined according to the classification type and the key features of the standard data stream to determine a grading method; and storing the classification type and the classification result in a database and displaying the classification type and the classification result through a visual interface. According to the invention, the communication protocol of a specific industry can be directly analyzed, and the data in the industrial control system can be identified and processed in a more targeted manner.

The invention belongs to the technical field of cloud computing, and discloses a cloud computing software log auditing management system, which comprises a log collection module, a log auditing module and a log auditing module, the data processing module is used for preprocessing the collected software log data to obtain effective log data, and performing unsupervised clustering on the effective log data according to similarity by adopting a clustering algorithm to obtain log clusters; the feature extraction module is used for performing feature extraction on the data in each log cluster to obtain log features; the intelligent analysis alarm module is used for performing prediction by taking the log features as the input of the log analysis model based on the constructed log analysis model, obtaining a danger score and performing alarm processing based on the danger score; and the software log management and security auditing capabilities of the system in the cloud computing environment are effectively improved.

The invention relates to the technical field of nickel coil mechanical property detection, in particular to a nickel coil strip mechanical property evaluation method and system based on annealing and pickling, and the method comprises the steps: obtaining a nickel coil strip, obtaining an annealing temperature interval, obtaining a pickling time interval, carrying out the interval division of the annealing temperature interval and the pickling time interval, and obtaining an annealing temperature set and a pickling time set; the annealing temperature value is matched with each pickling time in the pickling time set to obtain an annealing and pickling matching set, annealing operation is performed on the nickel coil strip to obtain an annealed nickel coil strip, pickling operation is performed on the annealed nickel coil strip to obtain a pickled nickel coil strip, the initial mechanical property value is larger than or equal to a preset mechanical property threshold value, and the initial mechanical property value is larger than or equal to a preset mechanical property threshold value. The optimal comprehensive mechanical property value is extracted from the comprehensive mechanical property value set, and nickel coil strip mechanical property evaluation based on annealing and pickling is completed based on the optimal comprehensive mechanical property value. According to the invention, annealing and pickling process parameters can be optimized.

The utility model discloses a sepsis animal model data analysis device based on machine learning, which relates to the animal model field, and comprises a machine body, a fixing mechanism and a supporting mechanism, the top end of the machine body is provided with an observation box, the top end of the observation box is provided with a ventilation fan, the supporting mechanism is welded on the outer wall of the machine body, and the fixing mechanism is fixed on the machine body. A keyboard is placed at the top end of the supporting mechanism, an analyzer is placed at the top end of the supporting mechanism, a display screen is placed at the top end of the analyzer, and the outer wall of the display screen is sleeved with a protective sleeve. By arranging the fixing mechanism, when the living animal model is observed, after the living animal model is placed on the fixing plate of the fixing mechanism, the fixing ring is fixed on the fixing plate through the fixing rod, and the body of the living animal model is fixed by using the fixing ring, so that the animal is prevented from moving to influence the observation; and meanwhile, the fixing ring does not cause harm to the body of the living animal model.

The hydropower station perimeter intrusion detection system comprises a radar monitoring module, a video monitoring module, a data processing module, a communication module, a control module, a power supply module, an early warning module, a data storage module and a compatible integration module. The radar monitoring module adopts laser radar equipment, and targets such as intruded foreign personnel in the surrounding environment are obtained by transmitting radar waves to the surrounding environment of the hydropower station and receiving and reflecting the radar waves. The accuracy and reliability of the hydropower station perimeter intrusion detection system are improved by adopting the Leiyu fusion technology and combining various technical means, so that the perimeter safety of the hydropower station is guaranteed. Meanwhile, the system has the advantages of real-time performance and reliability, the system can be compatibly integrated to a hydropower station electronic precaution system platform, new technical means and support are provided for hydropower station safety management, and the system has great significance in improving the safety level and accuracy of a hydropower station perimeter intrusion detection system.

The invention relates to the technical field of network security, and particularly discloses a website page access abnormity monitoring method, which comprises the following steps of: S101, carrying out custom code embedding on a website page; step S102, obtaining page performance indexes and abnormal data by running the codes of the custom embedded codes; step S103, packaging the page performance index and the abnormal data into an event report; step S104, summarizing the event reports to generate an aggregation report; s105, analyzing the page performance index report by using a machine learning algorithm to generate a performance index analysis report; and S106, analyzing the abnormal data report by using an abnormal detection algorithm so as to generate an abnormal data analysis report. Through the method provided by the invention, the stability, the safety and the user experience of the website can be improved.

The invention discloses a method and a system for taking materials from a rectangular tray by a gantry mechanism, which can accurately calculate the storage specification of the materials in the tray and the material taking parameters of the gantry mechanism to ensure that the material taking operation is accurate each time. The method is suitable for rectangular material trays of different specifications and numbers, and only relevant parameters need to be adjusted. The system adopts an instructed operation mode, so that the workload of code editing and equipment debugging is reduced, and the code logic is clear and easy to expand and maintain. Through programming and instruction control, automatic material taking of the gantry mechanism is achieved, and the production efficiency is improved. And meanwhile, the system records and resets the accumulated material taking frequency, and subsequent process control and data analysis are facilitated. In addition, the system avoids repeated calculation of X-axis and Y-axis coordinates, the overall efficiency is improved, and subsequent processing is simplified through a data set. According to the method and system, the position of the gantry mechanism can be accurately controlled, high-precision material taking is achieved, configuration is flexible, and the method and system are suitable for various application scenes.

The invention relates to the technical field of spaceflight launching monitoring, in particular to a spaceflight launching data online collecting and monitoring system and method supporting multiple protocols, and the monitoring system comprises a multi-protocol collecting module, an address configuration module, a data preprocessing module, a real-time historical library storage module and a process breakpoint monitoring module. The system is applied to data acquisition and monitoring of the spaceflight launching process, data in various control systems and monitoring systems of spaceflight launching can be acquired and monitored in real time, the problems of heterogeneous data acquisition fusion, storage, processing, calculation and monitoring are solved, overall data analysis and early warning of tasks are facilitated, and the data acquisition and monitoring efficiency is improved. Automatic starting and stopping of the whole process of the launching site are achieved, data support is provided for subsequent intelligent unattended operation of the whole launching site, and it is guaranteed that tasks are completed safely and reliably.

The invention provides a probe and a method for identifying an sgRNA sequence or identifying impurities in a functional region. The probe comprises a catalytic structural domain, a first substrate binding arm and a second substrate binding arm, the nucleotide sequence of the catalytic structural domain is GGCTAGC TACAACGA, and the cleavage site of the catalytic structural domain is purine-pyrimidine, preferably AU or GU; the first substrate binding arm and the second substrate binding arm are located on the two sides of the catalytic structural domain respectively and recognize sequences on the two sides of a target sgRNA cleavage site respectively, and the length of at least one of the first substrate binding arm and the second substrate binding arm is larger than 10 nt. The method is simple and direct, data analysis is convenient, the sequence coverage degree can reach 100%, specificity is good, the application range is wide, and the cutting efficiency is high and reaches 86% or above.

The invention belongs to the technical field of contract auditing, and discloses a contract comparison and recognition method based on deep learning, and the method comprises the specific steps: 1, importing a recognition system; step 2, training based on a deep learning OCR model; step 3, performing OCR operation on the picture; 4, identifying and uploading the content; 5, contract output or modification is judged; and step 6, risk prompting. By automatically comparing contract texts, the system can quickly identify key information, the complexity of manual operation is reduced, the system has good adaptability, contracts of different fields and types can be processed without manually adjusting parameters, the manual intervention requirement is greatly reduced due to the high automation degree, contract auditing is more efficient, and the contract auditing efficiency is improved. According to the method, multi-language texts can be easily processed, the automatic data extraction function provides great convenience for subsequent data analysis, and compared with manual text transcription, the OCR technology has better cost benefits in large-scale document processing.

The present invention provides a DRAM test machine and method based on embedded logic analysis. An embedded logic analyzer is integrated in an ATE test control chip. The embedded logic analyzer is integrated in an ATE test control chip having a main control unit, a test vector generator, and a test result processor. The defects in the prior art are overcome, and the signals of the DRAM chip can be captured and analyzed in real time, so as to help test engineers quickly find problems and improve test efficiency. A plurality of signal channels can be monitored at the same time, so as to improve in-depth analysis capability, and specific trigger conditions can be set to capture key data. The complex timing behaviors of various DRAMs can be decoded and analyzed, so as to save test time. The machine is compactly integrated, does not occupy additional space, reduces costs, and improves benefits. The machine can quickly provide test results and feedback, and is helpful to shorten the test time of the DRAM chip and accelerate the test progress.

The utility model relates to the technical field of circuit breaker stroke induction, and provides a novel centrally installed switchgear circuit breaker stroke induction device, which comprises a cabinet body provided with a mounting cavity; the circuit breaker is arranged in the mounting cavity in a sliding manner; the first inductive switch is arranged in the mounting cavity; and the second inductive switch is arranged on the circuit breaker, and after the circuit breaker slides, the second inductive switch is driven to be in contact with or not to be in contact with the first inductive switch. By means of the technical scheme, the problems that in the prior art, installation is complex, and precision is limited are solved.

The invention relates to the field of data visualization, in particular to a scatter diagram visualization task-oriented data sampling quality evaluation method and system. The method comprises the following steps: giving a high-dimensional data set, and generating a high-dimensional data subset by using a data sampling method; obtaining a low-dimensional data subset according to the high-dimensional data subset; randomly extracting clusters of the high-dimensional data set to obtain high-dimensional space sub-clusters; obtaining a low-dimensional space sub-cluster according to the high-dimensional space sub-cluster; measuring the difference between the high-dimensional space sub-cluster and the low-dimensional space sub-cluster to obtain the difference between different dimensional space sub-cluster pairs; obtaining a global error according to the difference of the sub-cluster pairs in the different dimension spaces; and evaluating the sampling quality of the high-dimensional data through the global error. According to the method, by comparing the sub-clustering differences of different dimension spaces and measuring the retention conditions of different sampling methods after data projection, the authenticity of the high-dimensional data in the projection scatter diagram is effectively evaluated.

The invention discloses an automatic timing and flow measuring barrel. Comprising a barrel body, an automatic timing device and a water level sensor, the automatic timing device is arranged on the outer side wall of the upper portion of the barrel body and comprises an infrared emitter, a reflecting plate and a timer, the infrared emitter is arranged on the outer side wall of one side of the upper portion of the barrel body, and the reflecting plate is arranged on the side wall of the other side of the upper portion of the barrel body in the mode of directly facing the infrared emitter; the water level sensor is arranged on the inner side wall of the lower part of the barrel and is in contact connection with the inner bottom surface of the barrel. Timing and liquid measuring functions are combined, convenience of measuring liquid flow by a single person is realized, working efficiency is improved, personal errors are reduced, reliability and accuracy of data are improved, a data storage function is provided, and subsequent data analysis is facilitated.

The invention relates to the technical field of grassland restoration, in particular to an irrigation monitoring system for grassland original ecological restoration, which comprises an irrigation data collection and analysis module, an irrigation demand prediction module, an irrigation strategy intelligent adjustment module, an irrigation equipment state monitoring module and an equipment fault automatic troubleshooting module. A sensor network is deployed to collect data, and the collected data is preprocessed, so that the accuracy of the data is improved; the irrigation demand is predicted by using the prediction model, and manual intervention is reduced; the irrigation strategy is automatically adjusted according to the predicted irrigation requirement, and automatic management of irrigation is achieved; the state parameters of the irrigation equipment are monitored in real time, so that safety accidents caused by equipment faults can be avoided; by using the Bayesian theorem and combining the early warning signal and the equipment state parameters monitored in real time, the fault reason is positioned, so that measures can be taken immediately. The method is used for solving the technical problem that the monitoring management level of current grassland recovery is not high.

The invention belongs to the technical field of intelligent management of landscaping, and discloses an intelligent management system for a landscaping engineering project. An original garden data set is collected and preprocessed, an initial garden data set is obtained, original garden data comprises a greening environment data set and a plant growth data set, and the greening environment data set comprises environment temperature, environment humidity, illumination intensity and soil humidity; the plant growth data set comprises plant growth duration, a plant growth state and a plant health state; analyzing the initial garden data set to obtain a greening reference value and a plant reference value, and performing classification to obtain a classification result; adjusting equipment in the garden according to a classification result; in general, the method has the remarkable advantages of being good in auxiliary operation effect, high in operation reference degree and excellent in project asset previewing capacity.

The utility model provides multifunctional active and passive radar test equipment. The multifunctional active and passive radar test equipment comprises a case, a double-screen assembly, a keyboard and mouse assembly, a movement board card assembly, an air inlet and fan assembly and a movable antenna, wherein the double-screen assembly, the keyboard and mouse assembly, the movement board card assembly and the air inlet and fan assembly are connected in the case and distributed from top to bottom; the antenna is electrically connected with the movement board card assembly and located on one side of the case; the double-screen assembly comprises a first screen which is hinged to the rear end of the top of the case and can be turned upwards to be opened, and a second screen which is hinged to the right side of the first screen and can be turned over to be opened. According to the utility model, a miniaturized design is adopted, and the board cards are all 3U standard air-cooled board cards; double screens are adopted, so that software control and data analysis are facilitated; radar active and passive radar testing is supported; a plurality of interfaces are reserved, including serial ports, network ports, LVDS (Low Voltage Differential Signaling), optical fibers, various radio frequency interfaces and the like, and can be used for calibration, test and control of the radar.

The invention provides a visitor management and verification method and system for an exhibition self-service registration machine, and relates to the field of data processing.The method comprises the steps that an exhibition participation request is received in response, and a preset primary collection interface is called for content filling; in response to scanning of the secondary participation code by any secondary user side, sending a preset secondary acquisition interface to the secondary user side for content filling; in response to completion of content filling by each user side, sending payment information generated by the automatic registration machine based on the area number corresponding to all the acquisition areas to the primary user side; controlling the automatic registration machine to perform interface printing in response to fee payment of the main-level user side; and in response to the fact that registration operation is executed on each real exhibition bill, creating an exhibit evaluation area in the acquisition interface corresponding to each real exhibition bill, and uploading evaluation information uploaded by the corresponding user side to the exhibit evaluation area. The management efficiency is at least improved.

The utility model relates to a container ship guide rail three-dimensional measuring tool, which comprises a tool main body, the tool main body is formed by cutting a steel plate, a rectangular notch is arranged at the right upper corner of the tool main body, and a moving target for measuring is arranged in the rectangular notch and is tightly attached to two side surfaces of the rectangular notch; the left side face and the lower end face of the tool body are detachably connected with the guide rail. The container ship guide rail measuring tool is small, exquisite, light, high in fitting degree with a guide rail and a moving target and high in use precision, in addition, each measuring position on the guide rail is changed from two points needing to be measured in the earlier stage to only one point needing to be measured at present, and working efficiency is improved.

The invention discloses a data management method, a to-be-calibrated vehicle calibration method and related components, relates to the field of vehicle calibration, and is used for solving the problems of heavy calibration work and sharp increase of calibration workload after large-scale mass production of unmanned vehicles in the prior art. The specific format of the priori information of the calibration system can realize automatic matching and automatic calibration of the to-be-calibrated vehicle, the data type contained in the calibration data packet can record the calibration process and result for subsequent calibration verification and analysis, the automatic acquisition and storage of the calibration data can improve the efficiency and accuracy, and the calibration accuracy is improved. According to the calibration system, subsequent data management and analysis are facilitated, and an automatic calibration process can be realized by transmitting priori information of the calibration system, determining calibration parameters and acquiring and storing calibration data packets, so that intervention of manual operation can be reduced, the calibration accuracy and reliability are improved, and the calibration efficiency is improved. And meanwhile, management of calibration data and subsequent data analysis are also facilitated.