167 results about "Instrument Data" patented technology

The utility model relates to an existing cavern compressed air energy storage physical model test system, which comprises a physical model, a hydraulic loading system, an air circulation charging and discharging system and a monitoring system, and is characterized in that the physical model comprises a surrounding rock and an air storage part, the surrounding rock comprises an external rock block and an internal rock block, the internal rock block is provided with a hole, and the hole penetrates through the internal rock block along the axial direction of the internal rock block; one or more prefabricated cracks are formed in the wall of the hole, the outer rock block is arranged on the outer side of the inner rock block in a surrounding mode, at least part of the air storage part is arranged on the two sides of the inner rock block in the axial direction, and the air storage part can seal the hole; the hydraulic loading system can apply a load from an external rock block to an internal rock block to the physical model, and the air circulation inflation and deflation system can inflate and deflate the hole; the monitoring system comprises a monitoring instrument and a data acquisition system, the monitoring instrument can perform data monitoring on the physical model, and the data acquisition system is in data connection with the monitoring instrument and can perform data transmission and processing.

The application provides a weather load-based air conditioner energy control method and device and a storage medium, wherein the method comprises the following steps: saving PLC bottom layer instrument data, indoor temperature sensor data and public data to a cloud platform server; processing the above data, calculating first index data in units of predetermined working time, calculating an optimized load amount according to the first index data; selecting a date closest to a predicted load day comprehensive temperature T in historical operation data as a reference day, taking the load of the reference day as a reference day load; and adjusting air conditioner energy according to the optimized load amount through two preset optimization conditions and the reference day load. The application predicts future load change rules by mining the corresponding relationship among climate, indoor temperature and load change rules through historical data, so as to realize the purpose of precise energy supply and effectively avoid energy waste.

The application discloses a kind of transformer substation in-station instrument automatic meter reading method and system, it is related to power station inspection technical field, including: meter reading work is completed by transformer substation in-station instrument meter reading software, including automatic meter reading module and meter reading photo analysis module;Automatic meter reading module is used to use mobile terminal and main control room computer to establish network communication, obtains meter reading photo by photographing field instrument to mobile terminal, and is returned to main control room computer, is downloaded and is transmitted to meter reading photo analysis module calculation;Meter reading photo analysis module is used to initialize meter reading photo, position target and calculate the instrument contained in meter reading photo, extract the outline of target, identify the edge coordinates of instrument pointer by contour matching mode, calculate the instrument reading pointed by instrument pointer by looking up black and white boundary in binary image.The application can replace artificial field meter reading, automatically obtain the reading of transformer substation instrument by field photo identification, generates instrument data report.

The invention discloses an instrument data reading and collecting system and method based on image recognition, relates to the field of instrument image recognition, introduces a specially trained Meter-CornerNet deep learning model, and can accurately position four key angular points of an instrument panel from an original image containing perspective distortion and uneven illumination. After the angular points are obtained, an inclined instrument area is corrected into a standard front rectangular view through perspective transformation, and illumination normalization is carried out, so that the interference of the angle and illumination problems on the image quality is improved. And then, digital segmentation and OCR identification are carried out on the processed high-quality image, a result is verified, and finally, an accurate reading is sent to an Internet of Things platform. According to the method, high robustness and high accuracy of the whole system in a complex real scene are ensured through a strategy of first accurate correction and then identification verification.

The invention discloses a remote cooperative verification and communication management system and method for a metering instrument, and relates to the technical field of instrument intellectualization. The method comprises the following steps: acquiring environment data and original instrument data of a plurality of metering stations through an Internet of Things communication protocol, and transmitting the original data to a remote communication management center for protocol adaptation processing to generate standard data frames in a unified format; further performing semantic standardization on the standard data frame to obtain a data set for verification; and constructing a cross-site mutual parameter verification model based on the data set and the environmental data, calculating a deviation value of each metering instrument, determining a cooperative verification priority index of the metering instruments in combination with a historical error change trend, generating a remote cooperative verification list containing verification task distribution information, and sending the remote cooperative verification list to a server. And the information is issued to each site for execution through an Internet of Things communication protocol. The remote automatic verification scheduling and data consistency guarantee of heterogeneous instruments is realized, and the efficiency and reliability of multi-site collaborative verification are improved.

The invention relates to the technical field of laboratory information management systems, and discloses an LIMS (Laboratory Information Management System)-based full-category detection data integration and quality tracing management system, which comprises a data modeling module for automatically generating domain ontology extension by adopting a method of combining ontology modeling and natural language processing; the data processing module is used for acquiring original data of the multi-source heterogeneous instrument data, and performing format recognition and semantic mapping on the original data by adopting a full-category detection data unified model; the block chain traceability module is used for storing traceability standardization detection data in a classified manner and establishing a layered framework; the quality prediction and early warning module is used for constructing a quality influence factor library and generating a prediction result based on the quality influence factor library; the cross-system integration module is used for obtaining a cross-system integrated data management platform by adopting a containerization technology and an event traceability architecture; according to the invention, the quality tracing query response time is shortened, and the credibility and timeliness of quality management are improved.

The invention relates to the technical field of data synchronization, and particularly discloses a multichannel instrument data synchronization method and system. The method comprises the following steps: acquiring time sequence data and timestamps of each channel of a multi-channel instrument, calculating a data sampling period and a clock drift rate according to the time sequence data and the timestamps so as to quantify time synchronization deviation, extracting a transient energy ratio and a spectrum distortion degree of a time sequence signal, measuring signal stability, performing normalization processing, and combining dynamic drift risk indexes of the time sequence signal, the spectrum distortion degree and the signal stability so as to obtain a time sequence signal. The low-risk data form a synchronization group, the high-risk data are isolated and corrected and then merged into the synchronization group to form synchronization data, and through dynamic risk assessment and grading processing, the influence of single-channel abnormity on overall synchronization is avoided, the clock and signal stability is considered, and the synchronization reliability is improved.

The invention discloses an analysis instrument data management system and method based on cloud computing, and belongs to the technical field of data management. According to the method, gas inspection task requirements are collected and converted into feature data, background interference, response time and application occasions are comprehensively analyzed through a trained artificial intelligence model, and adaptive analysis instruments are screened to form a set; qualified parts are screened in combination with task requirements to form a candidate set, a graph structure is constructed through physical, technical and functional compatibility analysis, and an instrument and part matching set is generated. Establishing a mechanism-driven virtual simulation environment, restoring a dynamic working condition, embedding a three-class coupling effect mathematical model, and performing dynamic linkage simulation on a matching pair; setting a multi-dimensional quantitative index score, superposing the coupling effect correction value to obtain an execution score, and selecting an optimal matching pair through descending sorting. Physical integration and debugging are completed according to configuration, an actual gas inspection task is put into use, and accurate adaptation and efficient execution of the whole process are achieved.

The invention relates to the technical field of purified water systems, and discloses an intelligent control and cleaning method of a two-stage reverse osmosis purified water system, which comprises the following steps: step 1, acquiring water temperature, pH value, conductivity and instrument data of a water inlet and a water outlet in the purified water preparation process; 2, comparing the obtained data of each instrument with a set data reference and fluctuation range, and judging whether the data of each instrument is abnormal or not; and step 3, when the instrument data is abnormal, obtaining estimated correct data of the abnormal instrument according to the normal and abnormal instrument data and the historical data. According to the method, whether part of instrument data is abnormal or not is judged through various data in the pure water preparation process, when the instrument data is abnormal, estimated correct data is obtained according to association characteristics of an abnormal instrument and other normal data and the obtained various data, and then the obtained estimated correct data is verified.

The invention discloses a health detection instrument data processing system and method based on the Internet of Things, and relates to the technical field of data analys.The method comprises the following steps that sampling intervals are determined, a CGM sensor is controlled to collect data according to the corresponding sampling intervals, and a frequency mixing blood glucose data set is formed; constructing an input data set, and introducing a sampling interval weight to construct a basic trend model; based on the input data set, introducing a correction item to construct a scene correction model, and outputting a final prediction value at the current next moment; setting a future prediction time interval and a prediction moment number N, generating N prediction values based on the basic trend model and the scene correction model, and integrating the N prediction values to form a prediction sequence; setting a threshold value to analyze whether the prediction sequence is abnormal or not and the abnormal type; when an anomaly is detected, a feedback mechanism is triggered. The method can effectively improve the situation that in the prior art, dynamic blood glucose monitoring sampling frequency lacks scene adaptability and is insufficient in frequency mixing data processing capacity.

A method for processing data of an analytical instrument for analyzing biological samples is presented. The method comprises receiving instrument data from the analytical instrument at a data processing module communicatively connected with the analytical instrument, generating metadata from the received instrument data at the data processing module, applying a first encryption to the instrument data at the data processing module, applying a second encryption to the generated metadata at the data processing module, and transmitting the encrypted metadata and encrypted instrument data to a remote server. The remote server and the data processing module are communicatively connected. The method also comprises removing the second encryption from the metadata at the remote server and forwarding the instrument data encrypted by the first encryption from the remote server to a management system of the analytical instrument.

The present application relates to a kind of for the radiation protection detection in nuclear magnetic machine room, including: shielding sleeve box, by diamagnetic material is made, for shielding external static magnetic field, its internal cavity shape is adapted according to the shape of the used patrol instrument;Ray detection mesh, set up on shielding sleeve box corresponding to the position of patrol instrument probe, by diamagnetic material is made, allow X or gamma ray to penetrate;Instrument data reading mesh, set up on shielding sleeve box corresponding to the position of patrol instrument display screen, by diamagnetic material is made, allow detection personnel to read data directly visually;The import and export of instrument that can be closed, be set on shielding sleeve box, and be equipped with the sealing cover made of diamagnetic material, for the input and output of patrol instrument, the sealing cover is in closed state when detecting.The present application solves the phenomenon that the radiation diagnosis and treatment machine room adjacent place is the radiation protection detection difficult to implement for nuclear magnetic resonance machine room.

1. Name of the design product: data processing equipment. 2. Use of the design product: used in the automobile industry, general industrial automation production line and intelligent instrument data acquisition and diagnosis analysis system. 3. Design points of the design product: in shape. 4. Pictures or photos that best show the design points: perspective view 1.

This invention provides a method and system for verifying and tracing file fingerprints for scientific instrument data, comprising: Step S1, acquiring user identity information and instrument identifier of the scientific instrument, identifying the original data file through file monitoring and automatically collecting basic metadata to generate labeled metadata; Step S2, calculating the file fingerprint based on the algorithm identifier using a digest algorithm and writing it into a fingerprint database; Step S3, performing fingerprint comparison on the file fingerprints; if the fingerprints are the same, reusing the existing content object identifier and adding a new version record; if they are different, creating a new content object identifier and adding a new version record; and when the same reservation identifier, upload time difference not exceeding a preset threshold, and fingerprint inconsistency are met, creating a version fork and recording the fork reason code and fork reason payload for traceability; Step S4, performing verification processing on the downloaded file. The beneficial effect is that this invention can meet the comprehensive requirements of traceability, auditability, and real-time performance for the security management of scientific instrument data.

The invention discloses a measuring instrument data correction calculation method and system, and the method comprises the steps: calculating corresponding correction data in a measuring instrument range according to a correction result in a verification certificate of a measuring instrument, firstly, determining a target measuring instrument needing to be corrected, and obtaining a correction table in the verification certificate of the target measuring instrument; forming an initial correction value of the target measuring instrument; then determining the minimum endpoint value of the measuring range of the target measuring instrument, determining a calculation range by using two minimum adjacent endpoint values in the initial correction values, and sequentially calculating correction values corresponding to all the minimum endpoint values belonging to the determined calculation range by using a linear interpolation method to form an intermediate correction value; the intermediate correction value is corrected according to a four-circle six-in-five-in-two correction rule, an endpoint correction value is finally obtained, an endpoint correction table corresponding to the minimum endpoint value of the measuring range of the target measuring instrument is formed as a reference, and the result of each time of reading of the target measuring instrument is accurately corrected.

The invention belongs to the technical field of digital information transmission, and particularly relates to instrument data acquisition, in particular to an instrument data acquisition system and an instrument data acquisition method.According to the instrument data acquisition system, after acquisition equipment is connected with instrument equipment, a time parameter of a first code element is obtained; the Baud rate is preliminarily determined according to the time parameter of the first code element, data acquisition is carried out according to the preliminarily determined Baud rate, an oscillogram is constructed according to the acquired data, the final Baud rate is determined in the oscillogram according to the effective area, and after the final Baud rate is determined, data interaction is carried out between the instrument equipment and the final Baud rate. Therefore, the Baud rate of the instrument equipment can be quickly and accurately determined, the acquisition equipment can conveniently adopt the Baud rate corresponding to the instrument equipment for communication, and accurate transmission of instrument data is completed.

The invention discloses a health information management system based on an intelligent frontal sinusitis therapeutic apparatus, and the system comprises a therapeutic apparatus main body. A user information module, a therapeutic instrument data acquisition module, a symptom input module, a data analysis module, a therapeutic scheme adjustment module, a health reminding module, a remote medical module and a data storage module are integrated on the therapeutic instrument main body. Personal basic information, medical history information, allergy history information and family medical history information of a patient are stored through the user information module, therapeutic instrument working data and therapeutic effect related data are collected in real time through the therapeutic instrument data collection module, daily symptom information is input into the patient through the symptom input module, and comprehensive collection of multi-dimensional health information is achieved.

The present application relates to a kind of lung function instrument data processing method and system based on data analysis, including multiple expiratory peak flow meter and cloud platform, cloud platform is connected with multiple medical systems.Expiratory peak flow meter is used to measure lung function parameters.Database of cloud platform has user table and multiple data tables, user table is used to store individual information input by user and user mark, data table is used to store lung function parameters, measurement time, F-V curve and V-T curve and the feature vector structured in combination with user individual information.Various data tables in which, the latest data table is the first data table, when the data quantity stored in the first data table exceeds the first preset value, then create second data table.When the prediction result of XGBoost classification model output after training is not consistent with actual result, then the prediction result and its corresponding data table and user that are not consistent with actual result are marked, to update data table and user table.

The application provides an instrument reliability detection method, system, device and medium, and relates to the technical field of instrument detection. The method comprises the following steps: acquiring an i-th detection instrument and an i-th detection strategy. The i-th detection strategy is determined according to at least one of the following data: an instrument value of the i-th detection instrument and an operating parameter of a linkage device. The linkage device is a device in a grinding production line that affects the instrument value of the i-th detection instrument. An instrument data set of the i-th detection instrument is acquired. The instrument data set comprises a plurality of instrument values collected by the i-th detection instrument within a preset time period. According to the instrument data set of the i-th detection instrument and the i-th detection strategy, a reliability evaluation factor of the i-th detection instrument is determined. The reliability evaluation factor comprises at least one of the following: a communication state, a logic state and a value state. According to the reliability evaluation factor, a reliability state of the i-th detection instrument is determined. The application improves the detection efficiency of the detection instrument.

This invention discloses a method, system, and storage medium for verifying instrument data records. Based on a received data verification command, each record in the instrument data record table is sequentially retrieved. The corresponding screen layout information is retrieved from the instrument information database according to the instrument model. Then, the display features in the screen image are identified and analyzed, and compared with the screen area shape and measurement data layout information stored in the instrument information database. If they are not similar, an instrument model entry error message is triggered. If they are similar, the identified instrument measurement parameters are compared with the recorded parameters in the data record. If they are not the same, a measurement parameter entry error message is triggered. By using screen image content to automatically verify and verify the instrument model and measurement parameters in electronic experimental records, the inefficiency and error-prone nature of existing manual verification methods are overcome.

The utility model belongs to the technical field of industrial interconnection and instrument data, and particularly relates to an intelligent mechanical instrument reading identification device for the industrial internet, which comprises a fixing ring and an identification assembly, the fixing ring is nested corresponding to a dial plate of a mechanical instrument, and the front end of the fixing ring is connected with the identification assembly through a hinge; the identification assembly comprises a control panel and a camera; the camera is installed at the position, opposite to a dial plate of the mechanical instrument, of the recognition assembly. The control panel comprises a reading identification module, a wireless communication module, a time counting module and a starting module. According to the utility model, whether a reading signal is correctly uploaded can be confirmed, the situation that the reading signal is not uploaded due to electromagnetic interference of industrial equipment or a remote area where an instrument is located can be avoided, wireless signal transmitting and receiving capability can be expanded by unfolding a signal antenna, and stable uploading and returning of the reading signal can be ensured.

The embodiment of the invention discloses a vehicle-mounted instrument configuration information synchronization system and method, electronic equipment and a storage medium. The vehicle-mounted instrument configuration information synchronization system comprises a vehicle-mounted instrument, an Internet of Vehicles communication terminal and an Internet of Vehicles platform, wherein the vehicle-mounted instrument is used for periodically sending vehicle accumulative operation parameters related to the vehicle-mounted instrument to the vehicle networking communication terminal when it is determined that vehicle static configuration parameters related to the vehicle-mounted instrument are backed up to the vehicle networking platform; the Internet of Vehicles communication terminal is used for sending the vehicle accumulated operation parameters to the Internet of Vehicles platform; and the Internet of Vehicles platform is used for generating an instrument data issuing packet according to the vehicle static configuration parameters and the vehicle accumulated operation parameters, and sending the instrument data issuing packet to the replaced vehicle-mounted instrument through the Internet of Vehicles communication terminal when the vehicle-mounted instrument is replaced so as to configure the replaced vehicle-mounted instrument according to the instrument data issuing packet. The configuration information of the old vehicle-mounted instrument can be synchronized to the new vehicle-mounted instrument timely and accurately.

The invention provides an instrument function safety system and a control method, and belongs to the technical field of instrument function safety, a cabin area controller performs cyclic redundancy check on image data output to an instrument display screen by the cabin area controller, and outputs a cyclic redundancy check value and the image data to a function safety chip; and the functional security chip calculates a cyclic redundancy check value for the image data, and compares the cyclic redundancy check value with a cyclic redundancy check value input by the cabin domain controller, and if the cyclic redundancy check value is inconsistent with the cyclic redundancy check value input by the cabin domain controller, the functional security chip controls an instrument display screen to access a functional security state. And when the cabin domain controller outputs the image data and the cyclic redundancy check value to the instrument display screen, the instrument display screen performs cyclic redundancy check calculation on the image data, and if the obtained cyclic redundancy check value is inconsistent with the cyclic redundancy check value input by the cabin domain controller, the fault state is displayed through a pre-stored picture. The instrument data transmission fault is detected in time, a driver is prompted, and the driving safety is improved.

The invention discloses a multi-module fusion intelligent inspection data processing and fault response method and system, and relates to the technical field of data processing, and the method comprises the steps: obtaining inspection tasks of ground and high-altitude inspection equipment, and obtaining fault equipment needing to be maintained based on instrument data and audio data of processing equipment during inspection; establishing a three-dimensional model of a workshop, obtaining a first track and a second track, and obtaining a target time period of the fault equipment; the number of affected devices of the fault devices is obtained, the influence degree of the fault devices on the workshop is obtained according to the sensor data in the target time period, the early warning degree of the maintenance sequence is obtained, and then whether early warning prompt is conducted on the maintenance sequence of the fault devices or not is judged. According to the invention, the inspection data is deeply analyzed, whether the maintenance sequence of the fault equipment is reasonable or not is judged, and timely prompting is carried out, so that the situation that non-key equipment preempts a maintenance precedent strategy is reduced, the production yield of a workshop is improved, and the production efficiency of the workshop is improved.

Embodiments of the present application disclose a data processing method and device for a cigarette detection instrument, electronic equipment and a medium. The method comprises: establishing communication between at least one cigarette detection instrument and an industrial computer based on a preset communication mode; on the basis of establishing the communication connection, if the industrial computer detects the to-be-processed data sent by the at least one cigarette detection instrument, determining a target detection instrument identifier corresponding to the to-be-processed data, and calling a target data format corresponding to the target detection instrument identifier; converting the to-be-processed data into target data matching the target data format, and analyzing and processing the target data to obtain a corresponding analysis result. The technical solution of the present application solves the problem of low efficiency of manually obtaining cigarette detection instrument data, realizes automatic acquisition of data collected by a cigarette instrument, and improves detection efficiency.

The invention discloses a power equipment test-oriented test instrument data processing method and system, and belongs to the technical field of instrument data processing, and the method comprises the steps: carrying out the format unification of power equipment test data through an intelligent gateway, and obtaining standard instrument data; performing feature matching on the standard instrument data and a power equipment knowledge graph to determine a potential fault type; and according to the potential fault type, reasoning a possible fault reason and a current health state of the power equipment through the power equipment knowledge graph to obtain a health state diagnosis result and test parameters of the power equipment, and then assembling the health state diagnosis result and the test parameters into a structured test report. And the report is sent to the cloud platform. Therefore, by implementing the method and the device, the problems of low data processing efficiency and low accuracy due to the fact that heterogeneous test instrument data collected in the preventive test process of the power equipment cannot be automatically analyzed and processed in the prior art can be solved.

The invention can be applied to the field of intelligent cabins, and particularly relates to a display method, an intelligent cabin, a vehicle, a storage medium and a computer program product. The display method comprises the following steps: acquiring instrument data to be displayed and central control data; performing rendering processing on the instrument data based on the first system service to obtain first rendering data; performing rendering processing on the central control data based on the second system service to obtain second rendering data; and performing data display on the same display screen based on the first rendering data and the second rendering data. According to the embodiment of the invention, the stability of the display screen for displaying the corresponding instrument data and central control data can be improved, and the safety of the vehicle where the display screen is located is improved.

The invention discloses a Modbus instrument communication configuration method and device based on an XML script, and relates to the field of instrument communication. The method comprises the steps that an XML script model is constructed, the XML script model is determined according to instrument communication data, and the instrument communication data comprises instrument global configuration information, organization logic of instrument parameters and definition and operation instructions of instrument data; acquiring instrument communication data to be configured, and writing the instrument communication data to be configured into the XML script model to obtain an instrument communication configuration result; and reading the instrument communication configuration result, obtaining a complete instrument data model, and feeding back the complete instrument data model to a caller. The technical problem that the development cost and the maintenance cost are high due to the fact that a Modbus instrument configuration scheme in the prior art cannot adapt to all types of instruments is solved.

The present specification provides a data processing method and system, wherein the data processing method comprises: obtaining instrument data and body data sent by a target wearable device, wherein the instrument data is derived from a target instrument in communication connection with the target wearable device, the instrument data is obtained through a sensor module in the target instrument, and the body data is obtained through the target wearable device; synchronizing and aligning the instrument data and the body data according to time stamps of the instrument data and the body data to obtain fused data after alignment; inputting the fused data into a report generation model to obtain a movement report output by the report generation model, wherein the movement report contains at least one of movement evaluation, movement guidance and movement plan. The implementation realizes multi-source and multi-dimensional data coverage in the user movement process, the fused data provides a reliable data cornerstone for truly personalized scientific fitness, and a movement report with scientific guidance significance can be automatically generated.

The present application relates to the technical field of instrument data recognition, and particularly relates to an instrument data recognition model construction method and device, electronic equipment and storage medium, the method of the present application first acquires a plurality of instrument pictures; then for each instrument picture, a gradient graph representing pixel gradient values and gradient directions is obtained through differential processing, and an edge feature graph is obtained by processing the gradient graph through a non-maximum suppression method; then an invariant moment vector of each edge feature graph is extracted through an invariant moment polynomial, and a plurality of edge feature graphs are clustered through the invariant moment vector to obtain a plurality of instrument picture classes; finally, a recognition model is constructed for each instrument picture class, the edge feature graphs in the instrument picture class are input into the recognition model, and the recognition model is adjusted according to the output of the recognition model and the label of the picture to obtain an instrument data recognition model. The present application constructs a special model for each type of instrument, improves the generalization ability of the model, and ensures the stable and reliable recognition of instrument data.