25results about How to "Easy for statistical analysis" patented technology

The invention belongs to the technical field of informatization security and secrecy, and particularly relates to an encrypted optical disc illegal external connection alarm tool which comprises a recording and printing tool recorded in an optical disc in an encrypted mode and an internet detection module. And automatically associating a specific website after the recording and printing tool is opened, and judging that the compact disc is used illegally if the association is successful. According to the invention, information security management can be enhanced, the management efficiency is improved, the information security cost is reduced, comprehensive monitoring and timely alarm of the secret-related optical disk are realized, and the security and confidentiality of the secret-related information are greatly improved.

The invention discloses a digital IC verification environment multi-thread operation automation method, which comprises the following steps: S1, building a directory structure of a verification platform, including a project directory, a design directory and a simulation directory; s2, establishing a simulation environment according to the configurable parameter description file; s3, inputting an instruction by a verifier, and performing dual preprocessing; s4, the batch processing script is run to read the configurable parameter description file, and running of the multiple test cases is completed; and S5, performing anomaly detection, and ending verification. According to the method, the verification platform is submitted to the server cluster by using the bsub command, resources of the server cluster are fully utilized, and the probability of jamming is reduced; a directory structure is also optimized, and a batch.cfg file is utilized to indicate the number of processes started by the test cases at the same time, so that the test process and data are clearer, and analysis and statistics are facilitated; codes are updated regularly through dual preprocessing, it is guaranteed that code versions are consistent during design and verification, and verification can be conducted smoothly.

The invention discloses a substation edge equipment operation data acquisition method and system, and relates to the field of electric power system intelligent monitoring, and the method comprises the steps: arranging an infrared thermal imager and embedded edge equipment, collecting substation equipment operation data, outputting image data with qualified definition, receiving the image data with qualified definition, and transmitting the image data to a server; carrying out preprocessing and equipment identification analysis, calculating equipment hot spot temperature and relative temperature difference, outputting equipment operation state information, receiving the equipment operation state information, carrying out compression and encryption, sending the information to a receiving terminal through a low-power-consumption wireless transmission technology, uploading the information to a cloud platform, receiving data information uploaded to the cloud platform, and carrying out further analysis; and storing the data in a corresponding table of the MySQL database. According to the invention, efficient, real-time and energy-saving data acquisition and processing are realized through three key points of a self-adaptive dynamic data acquisition strategy, real-time data processing based on edge calculation and a low-power-consumption wireless transmission technology.

The invention discloses a steel plate drilling automatic online detection system based on machine vision, and relates to the technical field of steel plate drilling machining systems. The system comprises a control system module, the input end of the control system module is electrically connected with an image processing module, the input end of the image processing module is electrically connected with an image acquisition module, and the output end and the input end of the control system module are electrically connected with a deep learning module. The output end and the input end of the control system module are electrically connected with a data processing module. According to the invention, the deep learning module uses a deep learning algorithm to train a large number of drilling images, automatically learns the characteristics and modes of drilling, improves the accuracy and robustness of detection, can continuously optimize the performance of itself, adapts to different types of steel plates and drilling requirements, and improves the accuracy and robustness of detection. And the intelligent diagnosis module is combined with an expert system and data analysis to perform intelligent diagnosis on a detection result.

The invention provides a Parkinson's disease gait comparative analysis method based on a time sequence characteristic curve, and the method comprises the steps: obtaining video data containing gait information which comprises gait information before and after a user uses a medicine; performing posture recognition on a human body in the video data, and extracting position information of key body parts; calculating gait features according to the extracted key point information, and constructing a time sequence curve according to changes of the features along with time; performing data processing on the extracted gait features by using a digital filter; local frequency and amplitude are integrated into distance measurement by using a frequency amplitude and amplitude enhanced dynamic time warping method to quantify the difference of gait movement; obtaining a curve difference distance; metrics are calculated based on cumulative frequency differences and amplitude differences in the optimal regular path. The method has remarkable advantages in the aspects of accuracy, time sensitivity, robustness, adaptability, comprehensive evaluation ability, quantitative analysis, clinical application potential and the like.

The invention relates to the technical field of data processing, and provides a multi-language-based oil field knowledge graph construction system and method and a computer readable storage medium, and the system comprises an original data layer, a knowledge extraction layer, a knowledge fusion layer and a storage layer. A knowledge graph representation mode for representing picture knowledge and video knowledge is provided; in the implementation of the knowledge fusion layer, a scheme for carrying out multi-language knowledge fusion by adopting a twin network is provided.

This invention discloses a concrete testing device for road and bridge construction, relating to the field of concrete testing. It includes a sample holder and a movable pressure plate. Vertical plates are fixed to both sides of the upper surface of the sample holder, and top plates are fixed to the top of each of the two vertical plates. A limiting groove for placing concrete blocks is formed at the center of the upper surface of the sample holder. The pressure plate is located above the limiting groove, and a groove is formed at the center of the upper surface of the pressure plate, in which a liquid storage cylinder is fixed. Liquid permeation holes are formed at the groove and at the bottom of the liquid storage cylinder on the lower surface of the pressure plate. A pressure application component and two transmission components are provided above the liquid storage cylinder. The two transmission components are symmetrically arranged on the pressure application component. Each of the two rope-winding rollers has an inner sprocket tooth on one corresponding spoke. This invention achieves simultaneous testing of concrete compressive strength and impermeability, shortens the testing cycle, and restores the stress environment of road and bridge concrete during actual service, improving the comprehensiveness and reliability of the test data.

The invention discloses an online reasoning-oriented verifiable data processing method, device and system, and the method comprises the steps that an evidence obtaining bypass module, an evidence bus and an evidence bin are configured in advance, the evidence obtaining bypass module triggers an abnormal event based on the evidence prompt in the reasoning process, and the evidence obtaining bypass module determines a time window including the triggering moment, an event header is created, an event abstract is generated and transmitted to an evidence bin through an evidence bus, and the event abstract comprises a decision track section and a calculation specification section at the triggering moment; collecting an evidence full text in the time window, dividing the evidence full text into a plurality of evidence blocks and configuring corresponding block indexes; sequentially transmitting the block index and the evidence block to an evidence bin through an evidence bus, generating an integrity verification field, and sending a sealing identifier; and the evidence bin performs integrity verification on the evidence packet after receiving the storage identifier, and if the verification is passed, the evidence packet is modified to be in a storage state. According to the method, verifiable evidence recording, chained storage and playback processing can be carried out on data of abnormal events in the online reasoning process.

This utility model discloses an auxiliary tooling for measuring the axial deformation of tapered roller bearings, relating to the field of bearing testing technology. It includes a pressure sleeve, a bearing ring, a support base, and a dial indicator. An annular boss is provided in the middle of the outer wall of the pressure sleeve. The bearing ring is interference-fitted to the bottom of the pressure sleeve. A groove for placing the bearing to be tested is provided on the upper surface of the support base. The lower end face of the bearing ring abuts against the upper end face of the bearing to be tested. A bracket is provided on the support base, and the dial indicator is fixedly mounted on the bracket with its probe abutting against the upper end face of the annular boss on the pressure sleeve. This utility model transmits the pressure applied by a press to the bearing to be tested, causing axial deformation. The dial indicator then accurately measures the displacement of the pressure sleeve, thereby indirectly obtaining the axial deformation measurement of the bearing. This facilitates specific statistical analysis of the axial displacement. The required materials are readily available, processing is convenient, costs are saved, and work efficiency is improved.

The invention provides a liquid preparation system, and relates to the field of medical equipment. The liquid preparation system comprises a workbench, a feeding assembly, a dispatching assembly, a liquid dripping assembly, a purifying assembly and a discharging assembly. The workbench is provided with a feeding station, a liquid dripping station and a discharging station. The feeding assembly is connected with the workbench, and the feeding assembly is used for conveying dish plates to the feeding station; the dispatching assembly is connected with the workbench, and the dispatching assembly can grab the dish and drive the dish to move within a preset range; the liquid dropping station, the feeding station and the discharging station are all located in a preset range. The liquid dropping assembly is connected with the workbench, and the liquid dropping assembly is used for sequentially dropping a culture solution and culture oil into the culture dishes on the dish plate located at the liquid dropping station; the discharging assembly is connected with the workbench and used for storing the dish plates located at the discharging station. According to the invention, manual operation is replaced by an automatic process, batch liquid preparation in a plurality of culture dishes can be realized, the manpower demand is reduced, and the stability and accuracy of a liquid preparation result are ensured.

The utility model discloses an automatic archive borrowing and returning system which is applied to an archive storeroom, a plurality of rows of archive dense cabinets are placed in the archive storeroom in a face-to-face mode, every two rows of face-to-face archive dense cabinets form a management area, and the system comprises an operation table, an automatic borrowing and returning system and a borrowing and returning system, an archive information reading module; the intelligent operation device comprises a face recognition module; the borrowing and returning module is in communication connection with the archive information reading module, the transfer vehicle and the regional transport vehicle so as to process the information read by the archive information reading module and control the transfer vehicle and the regional transport vehicle to run; the plurality of regional storage tables are arranged on the ground on one side of the file dense cabinet; the transfer vehicle is configured to transfer files between the operation table and the area storage table; and a regional transport vehicle configured to transfer the archives between the management region and the regional shelving tables. The automatic archive borrowing and returning system can improve the automation degree, efficiency and safety of archive management.

The present application relates to the technical field of software performance monitoring and artificial intelligence, in particular to a low-code platform performance diagnosis method and system based on multi-AI provider cooperation, the method of the present application receives batch page performance audit results, extracts page quantity, average performance score, common performance problems, performance budget and page distribution data; reads low-code platform component library description, visual building rules and configuration anti-pattern knowledge, constructs diagnostic prompt words containing low-code domain context and structured output constraints; in the automatic provider mode, cascade calling is performed in the order of Azure OpenAI, Anthropic and OpenAI, and different structured output constraint strategies are adopted for the interface capabilities of different AI providers; after field integrity verification and format standardization processing of the returned results, a performance diagnosis result file is generated persistently. The present application improves the availability, output stability and executability of low-code configuration level optimization suggestions of AI performance diagnosis service.

This application relates to a block query method, apparatus, device, and storage medium, and pertains to the field of blockchain technology, for querying a specified block from a blockchain. The method includes: obtaining a query request; the query request includes time information; the query request is used to query the block number corresponding to the time information; converting the time information into a target timestamp; determining the current block to be queried from a specified block range on the blockchain, inputting the block number of the current block to be queried into a preset remote procedure call (RPC) interface, and outputting the timestamp of the current block to be queried; if the timestamp of the current block to be queried is the same as the target timestamp, determining the block number corresponding to the time information as the block number of the current block to be queried.

The invention provides an address matching method and device and a readable storage medium, and the method comprises the steps: obtaining to-be-matched building data, and presetting a feature word used as an address matching standard; respectively performing character segmentation on the building data and the feature words to obtain a building data character sequence and a feature word character sequence which take a single character as a unit; performing city, city and county matching on the building data character sequence and the feature word character sequence to obtain a city, city and county matching result; and selecting a corresponding matching strategy to carry out keyword matching on the building data character sequence and the feature word character sequence based on the city and district matching result to obtain an address matching result of the building data and the feature words. According to the method, character string matching is completed through the feature words and the matching strategies, the method is suitable for scenes where association relationships are established between buildings and fixed network circuits, and the problems of regional full coverage, low matching accuracy and acronyms of business scenes can be solved.

The invention provides a quality management system based on measurement payment, and the system comprises a control unit which is used for receiving, processing and forwarding data from all modules, and all the modules communicate with one another through data interfaces or APIs; the metering and payment unit is used for confirming the project amount completed by the construction unit through a system automatic or manual assistance mode, calculating and paying corresponding project money according to the confirmed project amount and contract regulations, and counting and analyzing metering and payment data at the same time, and metering list payment is in two modes of calculating according to the quantity and calculating according to the amount; a quality control unit; a progress control unit; a contract management unit; a safety management unit; the metering payment-based quality management system provided by the invention has the advantage of improving the integrity, uniformity and authenticity of data filling and reporting and metering payment.

The invention discloses a radiometer to the ground, which comprises a shell and a dust blocking sleeve fixedly arranged at the bottom end of the shell, a dust blocking diaphragm is fixedly arranged in the dust blocking sleeve, the dust blocking diaphragm is provided with nine optical channel holes which are circumferentially distributed, and the dust blocking diaphragm is also provided with three internal thread seat holes which are circumferentially distributed; a locking assembly is arranged in the internal thread seat hole and comprises a positioning sleeve seat, a tightening block arranged in the positioning sleeve seat and a pre-tightening spring arranged in the positioning sleeve seat, and a positioning guide shaft is installed at the upper end of the pre-tightening spring. According to the invention, the dust blocking sleeve is in threaded connection with the bottom of the shell, and the dust blocking diaphragm is in threaded connection with the interior of the dust blocking sleeve, so that the installation efficiency and the convenience of after-sales maintenance of the light window are improved, and any tool is not needed to disassemble any screw to complete the cleaning operation after pollution of the light window glass.

The present invention discloses a detection and identification method and device based on overlapping window constraints, the method comprising: obtaining multi-source traffic data; extracting feature data of the multi-source traffic data and constructing a traffic feature data set; setting constraints on features of interest in the traffic feature data set, filtering out redundant features, and establishing windows corresponding to the constraints; wherein only corresponding feature types that meet the constraints are included after the window; combining windows corresponding to different constraints to construct overlapping windows, so that the output of the overlapping windows can reflect comprehensive features with interpretable physical meanings; integrating the comprehensive features with a preset network model to construct an interpretable deep neural network, and then completing the detection and identification of different traffic events according to actual traffic data. The present invention can greatly compress the amount of data when processing multi-source traffic data with a huge amount of information, and provide convenient prerequisites for subsequent processing and statistical analysis of different types of traffic features.

The invention relates to a teenager growth and development level evaluation method and system based on multi-factor conditions, and belongs to the field of growth and development detection. The method comprises the following steps: obtaining teenager height data, and obtaining teenager height development level based on the teenager height data; juvenile growth and development information is obtained, a juvenile growth and development prediction model is constructed according to the juvenile growth and development information, and the juvenile growth and development prediction model comprises a juvenile height prediction model and a juvenile growth level prediction model; and outputting teenager growth and development prediction results based on the teenager growth and development prediction model, wherein the teenager growth and development prediction results comprise a good expected result, a normal expected result and an unfavorable expected result. According to the invention, the growth and development level of the teenagers can be evaluated scientifically, reasonably and comprehensively, and the adult height of the teenagers can be predicted.

The invention belongs to the technical field of medical equipment quality control, and particularly relates to a medical linear accelerator quality control data analysis system which comprises a data acquisition module, a data analysis module, a deep learning module, a data storage module and a user interaction module. The data acquisition module is used for acquiring dosimetry data, mechanical performance data and image data of the medical linear accelerator; the data analysis module is connected with the data acquisition module and is used for counting data records in a database, extracting feature information, establishing and analyzing personalized data contents and intelligently screening data through a B / S framework and an advanced computer technology and a deep learning module, so that quick response of analysis data is realized, and the efficiency and the accuracy of quality control work are improved; the change trend of quality control data is predicted by using an LSTM (Long Short-Term Memory Network), potential unstable factors are identified, and the period and frequency of quality control are adjusted.

The present invention provides a method for automatically dividing a working surface, comprising the following steps: preliminarily dividing the working surface, searching for working surface data, dividing data, and generating working surface areas. The present invention relates to an electronic device and a storage medium for executing a method for automatically dividing a working surface. The present invention divides the construction data of a road roller, a paver, etc. according to time and space. At the same time, in combination with the data characteristics and the grid pass attribute, the density clustering algorithm and the convex hull algorithm are used to classify the data, eliminating the tediousness of visual identification and manual operation and avoiding the wrong division of data, freeing the hands, saving manpower, and being able to automatically divide the working surface, improving the efficiency and accuracy of data division, providing convenience for subsequent related statistical analysis, and also retaining and marking the type of non-working surface data, that is, data on the transition path, to avoid data loss.

The present invention relates to an OMS dispatching intelligent analysis system and method, the system includes a data acquisition unit and a processing unit, and the processing unit includes a heavy overload monitoring module and a fault tripping analysis module. The present invention can perform real-time monitoring of heavy overloads on all 10kV lines of the distribution network, which is convenient for dispatchers to perform statistical analysis on heavy overload lines and put forward rectification suggestions, effectively shortening the time for dispatchers to find and record information, improving the work efficiency of dispatchers, freeing up manpower and further improving the intelligent alarm module, so that dispatchers can quickly locate faults and command on-site repair personnel to quickly find and isolate faults.

The utility model discloses an urban rail transit pantograph-catenary static pressure sensing detection device, and relates to the field of mechanical design. Comprising a main body component, a pressure sensor, an induction plate, a top cover, a side baffle, a display assembly and a charging interface, the main body component is a concave integrated piece, a limiting groove is formed in the top of the side face of the main body component and used for installing the pressure sensor, a protruding block is arranged at the bottom of the induction plate and makes contact with an induction area of the pressure sensor, and the top cover is assembled with the top of the main body component. The top cover is provided with a square hole, part of the induction plate penetrates through the square hole, the side baffle is matched with the outer side face of the main body component in shape, the displayer assembly is in telecommunication connection with the pressure sensor and installed through the side baffle, the charging interface is electrically connected to the displayer assembly, and the charging interface is installed at the bottom of the side baffle. According to the utility model, the height of the pantograph is replaced, and the pressure detection device is introduced to obtain the pressure of the contact line on the pantograph when the current pantograph is in a static state.

The invention discloses an intelligent special equipment safety supervision system which comprises a mobile terminal and a system platform, the mobile terminal is in communication connection with the system platform, and the mobile terminal comprises a to-be-checked enterprise setting module which is used for setting the name of a current to-be-checked enterprise and checking enterprise information; the to-be-inspected equipment setting module is used for setting an inspection category according to the industry category of the enterprise and selecting to-be-inspected special equipment; the checking output module is used for checking the special equipment one by one according to the checking content; storing the inspection result and generating a corresponding inspection result list; the system platform comprises a rectification tracking module used for tracking enterprises needing rectification according to the check result list; and the statistical analysis module is used for performing statistical analysis on the inspection result to generate an analysis result. By adopting the supervision system, the inspection efficiency and the inspection accuracy can be improved; and the inspection result can be subjected to statistical analysis, so that the inspection condition can be known in time.

The invention discloses a method for estimating radiation biological dose by using acrocentric chromosome synapsis, comprising: 1) irradiating a sample, comprising irradiating a human peripheral blood sample in a container by using radiation; 2) culturing the sample, comprising culturing the irradiated sample, comprising adding a culture solution and culturing in a 37°C incubator for 48-56 hours; 3) harvesting a cell suspension, comprising performing a harvesting operation after culturing to obtain a cell suspension; 4) dropping a slide, comprising dropping the cell suspension on a precooled glass slide and burning the suspension for 1-2 seconds with an alcohol lamp; 5) staining, staining the glass slide with a Giemsa staining solution; 6) reading and counting, comprising counting the incidence of chromosome synapsis by using a microscope; and 7) fitting a dose-effect curve based on the correlation between the incidence of chromosome synapsis and the irradiation dose, and estimating the radiation dose by using the dose-effect curve.

The invention discloses a method for quantifying synchronous influence and early-stage remaining effect of extreme climate events on land carbon flux, and relates to the technical field of data analysis and artificial intelligence. Compared with a traditional regression method, the method adopts a machine learning method, has the advantages of automatic decision making, adaptive learning, real-time calculation, reduction of human errors and the like, and can better process complexity and a nonlinear relation; a machine learning algorithm can automatically extract a mode from data and make a decision according to the mode, so that the need of manual intervention is reduced, and the working efficiency is remarkably improved; along with rapid increase of data, a machine learning system can continuously learn and update a decision or prediction model from new data, and rapidly process and analyze massive data sets; through big data analysis and pattern recognition, machine learning can reveal deep association and trends hidden in data.