99 results about "Instrument Data" patented technology

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 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.

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 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 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 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.

The application relates to the technical field of laboratory data management, and discloses a laboratory shared instrument data management system based on an Internet of Things, which comprises a personnel management module, an instrument management module, a consumable management module and a storage module; the personnel management module is used for user registration and login, binds user information, identity information, user data and balance information to the user account, and carries out in-room examination and in-room approval on the user; the instrument management module is used for adding new instruments into an instrument library; the standardized management of users is realized through the personnel management module; the in-room examination and in-room approval ensure that the users have corresponding operation ability and safety awareness, and effectively reduce the occurrence probability of laboratory safety accidents; the instrument management module realizes the whole life cycle management of the instruments, including instrument information recording, state management, training examination and use management, and ensures the standardized use and effective maintenance of the instruments.

This invention discloses a method, system, and storage medium for verifying experimental data in electronic records. According to verification instructions, the method acquires the data of each experimental instrument recorded within the verification area and the corresponding bound instrument screen image. Based on the instrument type in the experimental instrument data, it queries the corresponding screen recognition information in the instrument information database. Based on information such as the position of digital feature areas and non-digital feature areas on the screen, it identifies the instrument measurement parameters in the instrument screen image. Finally, it compares the identified information with the information already entered in the electronic experimental record to identify any errors in the record. This effectively ensures the accuracy of the entered data in the experimental record and eliminates the significant time and effort required for quality inspectors to manually compare the data in the input boxes of each record book with the instrument screen images.

This invention discloses a lightweight automatic instrument identification system, comprising: a data acquisition unit including an instrument image field acquisition device for real-time acquisition of instrument images; a processing unit including a front-end module, an instrument preprocessing module, an instrument alignment processing module, and an instrument identification module for processing the instrument images to identify instrument data within them; a transmission unit including a transmission module and an instrument data module for remotely transmitting the identified instrument data from the instrument images to a database in the management department; and an operation and maintenance unit for providing remote operation and maintenance services to the data acquisition unit, processing unit, and transmission unit. This lightweight automatic instrument identification system can acquire and automatically identify data displayed on the instrument panel in real time, enabling real-time acquisition, identification, transmission, and remote operation and maintenance of data displayed on the instrument panel, providing data support and information services for modern enterprise management.

The invention discloses a universal plug-in and system for instrument data acquisition, and relates to the technical field of data acquisition, an acquisition layer comprises a plurality of stock instruments and a southbound physical port driver, and is used for acquiring original and non-standardized measurement data of power equipment; the conversion layer comprises a universal plug-in and an operating system driving layer, and is used for carrying out acquisition, protocol analysis, format conversion and wireless transmission on the acquired power equipment data; the application layer is used for receiving, managing and analyzing data and providing a service application interface for a user, and the universal plug-in comprises a shell, and a core main control board, a southbound data acquisition interface group, a northbound wireless communication module, a state display module and a power management module which are arranged in the shell. According to the method, front-line personnel are liberated from tedious and error-prone severe labor, data can flow seamlessly, efficiently and credibly in the whole organization, and a new intelligent operation normal form of data running, personnel worrying less and management without blind areas is truly achieved.

The invention discloses a seismograph data automatic synchronization method and device based on an FTP protocol, and relates to the technical field of earthquake monitoring data transmission. Obtaining original data of the seismograph, dividing value grades through the value density hierarchical model, and forming a graded data pool; building a block-level elastic splitting architecture, calculating dynamic splitting granularity according to real-time data generation amount, peak traffic and link bandwidth, splitting data and adding exclusive identifiers to high-value data blocks; a priority dynamic scheduling architecture is designed, transmission queues are allocated based on time sequence-value double factors, and high-value data occupy a core bandwidth; transmission is completed based on an FTP protocol, transmission state data are collected through a link adaptation regulation and control model, the splitting granularity is fed back and corrected, and dynamic matching is achieved. According to the method, high-value data is preferentially and efficiently transmitted, the integrity of medium and low-value data is considered, the transmission timeliness, the bandwidth utilization rate and the system robustness are improved, and the method is adaptive to complex links and data characteristics.

The invention discloses a remote data collector of an intelligent instrument and an operation method of the remote data collector, and relates to the technical field of intelligent instrument data collection. The system comprises a piping shaft, an intelligent water meter is installed in the piping shaft, and one side of the intelligent water meter is fixedly connected with a remote data acquisition unit. A single double-shaft motor is matched with two groups of electromagnetic clutches to select and switch a power path, so that the power of the motor can be distributed to a reciprocating screw to drive a camera to move and collect images, when the camera returns, a moving plate of the camera is linked with a pushing plate and a rotating wheel to automatically stir a moisture absorption medium, and after the camera is reset, the movement of the moving plate is stopped. The power is switched to a transmission chain formed by the bevel gear set and the synchronizing wheel, the wiping cloth is driven to rotate to clean the lens, data acquisition, environment dehumidification and lens maintenance are synchronously completed under the condition of no human intervention, and the equipment can stably operate in a moist pipeline shaft environment without maintenance for a long time.

The application discloses a multi-source data processing method and system of a cigarette detection instrument, relates to the technical field of tobacco, and realizes non-discriminatory access to heterogeneous data sources through a unified interface protocol and automatic connection, avoids the huge workload of customized development and the problem of system rigidity, provides stable real-time data flow for subsequent processing, uniformly converts unstructured original data into standard structured records by using a formatted description template and automatic analysis technology, automatically and efficiently associates multi-instrument data of the same detection event by using a similarity matching algorithm based on local sensitive hashing, applies a weighting aggregation algorithm based on an attention mechanism to give differentiated weights to time series data and fusion, generates a fusion feature matrix that more comprehensively represents the quality state of a sample, performs automatic feature extraction and dimension reduction by using a stacked denoising autoencoder, and finally outputs results in the form of a standardized data packet with complete check information, thereby providing a ready-to-use unified high-quality data basis for upper-layer quality analysis and the like applications.

The application discloses a metrological instrument remote cooperative verification and communication management system and method, and relates to the technical field of instrument intelligentization. Environmental data and original instrument data of multiple metrological sites are collected through an Internet of Things communication protocol, and the original data is transmitted to a remote communication management center for protocol adaptation processing to generate a standard data frame in a unified format. The standard data frame is further subjected to semantic standardization to obtain a data set for verification. A cross-site mutual reference verification model is constructed based on the data set and the environmental data, the bias value of each metrological instrument is calculated, and the cooperative verification priority index of the metrological instrument is determined in combination with the historical error change trend to generate a remote cooperative verification list containing verification task allocation information, which is then issued to each site for execution through the Internet of Things communication protocol. The remote automated verification scheduling of heterogeneous instruments and the data consistency guarantee are realized, and the efficiency and reliability of multi-site cooperative verification are improved.

The invention discloses a lightning arrester instrument data image recognition method, system and device and a medium, and the method comprises the steps: obtaining an original image of a lightning arrester instrument, adaptively adjusting collection parameters according to environment illumination, carrying out the geometric correction and quality evaluation, carrying out the dynamic contrast enhancement and multi-scale noise suppression through an illumination decoupling model, and generating a standardized image; inputting a lightweight mobile terminal target detection model, and positioning and cutting an instrument display area; enhancing the sub-images, extracting edge features, and judging the type of the instrument: if the sub-images are digital, segmenting character areas and identifying the character areas by using a private network to obtain initial readings; verifying validity in combination with a preset physical quantity reasonable range, and generating a final reading; and automatically associating a current inspection task, adding time, a position and an image index, storing into a local database through transaction operation, and supporting generation of a structured inspection report. According to the invention, the accuracy and efficiency of inspection work are improved, and the reliability and traceability of data are ensured.

The utility model discloses a surveying and mapping instrument data acquisition support device comprising a support assembly which comprises a movable rod and a vertical rod; the limiting assembly comprises a fixing ring, an external connecting rod, a magnetic block and a connecting block; the fixed ring is fixed in the middle of the vertical rod, the external connecting rods are arranged in a group, are inserted into the peripheral surface of the fixed ring and correspond to the movable rod, the magnetic blocks are located on the outer sides of the opposite ends of the external connecting rods, the connecting blocks are fixed to the upper middle portion of the movable rod, and the connecting blocks and the magnetic blocks are attracted. By arranging the limiting assembly, when the movable rods are combined, the movable rods drive the connecting blocks to be attached to the magnetic blocks, so that the magnetic blocks and the connecting blocks are attracted together through magnetic force, the combined movable rods are limited through the magnetic blocks and the connecting blocks, and the movable rods cannot be unfolded after being folded; and therefore, a user can conveniently carry the folded bracket.

This invention relates to the field of program control technology, specifically to a method for switching sampling modes of an oscilloscope applied to instrument data acquisition. The method includes the following steps: acquiring an electrical signal conversion sequence and generating marked data by combining it with scale division; calculating interval differences to construct a set and executing judgment comparisons to generate a crossing command; calculating frequency band distribution to construct an energy sequence and filtering intervals to generate mode commands; detecting interval differences and executing boundary judgments to generate signal change commands; and combining multiple commands to execute synchronous matching and adjust timing to generate a switching result. In this invention, by mining the actual characteristics of the underlying electrical signal and dynamically adjusting parameters, the inherent limitations of the preset lookup table mechanism are completely broken, eliminating the hysteresis caused by fixed processes. It accurately captures the core details of frequency band changes, effectively avoiding the risk of losing key data and comprehensively deepening the breadth of waveform energy and dynamic timing analysis. This effectively ensures the authenticity of waveform acquisition in complex environments and significantly enhances the comprehensive applicability of equipment operation.

This invention relates to the field of data evidence storage technology, and discloses an industrial instrument data evidence storage middleware and its pulse atomization signature method. The middleware includes a physical interface layer and a microcontroller unit (MCU). The transceiver circuit of the physical interface layer includes: an RC inverse attenuation network, connected in series in the receiving channel, attenuating the inverse command signal level to below the standard transceiver differential identification threshold, realizing one-way monitoring and authorization at the physical layer; and an optocoupler isolation circuit, connected in parallel in the pulse input channel, with its output directly connected to the MCU's highest priority external interrupt (EXTI) pin, forming a hard-coupled pulse triggering path. After EXTI triggering, the MCU enters the highest priority ISR, atomically locking the original evidence to a volatile buffer. After exiting the ISR, it asynchronously completes hash and PUF-derived private key signature operations in the background and sends the evidence storage frame using the bus idle window. The evidence storage data is written to the NVM logical partition through the ZoneLock mechanism and is irreversibly locked. Combined with chained hash verification, data integrity and timing are ensured.

The application discloses a fracturing construction text data structural processing method, comprising the following steps: S1, data preparation: uploading data in a text form, wherein the data comprises basic data, construction briefs and instrument data; S2, system configuration: extracting and configuring the construction briefs and the instrument data in the step S1, and performing structural processing on unstructured text in the data; S3, construction report generation and structural data filling: generating an electronic spreadsheet file through the basic data in the step S1 and the data after the structural processing in the step S2, and automatically extracting relevant data to complete the electronic spreadsheet file filling according to a matched corresponding relationship. The structural processing of the data and the generation of the construction report required by fracturing are automatically realized through digital means, and the efficiency and accuracy of the report materials of on-site technical personnel are improved.

The invention relates to the technical field of industrial automation and intelligent sensing, and discloses an instrument data analysis device based on edge computing, which comprises a data acquisition and preprocessing module, a co-processing module, a cloud optimization module and an output display and interaction module. Through a lightweight-enhanced collaborative deep learning model and a self-adaptive data processing technology, each link of industrial instrument data processing can be comprehensively covered, common conductivity and temperature time sequence data are concerned, factors such as a sensor drift state and process fluctuation characteristics are also included, the model reasoning and data preprocessing process is deeply optimized, and the data processing efficiency is improved. The concentration soft measurement result can more accurately reflect the real concentration of the industrial solution, and a more scientific basis is provided for process control and quality monitoring of industrial production.

The application discloses a multi-module fusion intelligent inspection data processing and fault response method and system, relates to the technical field of data processing, and comprises the following steps: acquiring an inspection task of ground and high-altitude inspection equipment, obtaining a fault equipment needing maintenance based on instrument data and audio data of the inspection equipment; establishing a three-dimensional model of a workshop, acquiring a first track and a second track, and obtaining a target period of the fault equipment; obtaining the number of affected equipment of the fault equipment, obtaining the influence degree of the fault equipment on the workshop according to sensor data in the target period, obtaining the early warning degree of a maintenance sequence, and then judging whether the maintenance sequence of the fault equipment needs early warning prompt. The application analyzes the inspection data in depth, judges whether the maintenance sequence of the fault equipment is reasonable, and timely prompts, reduces the strategy of non-key equipment occupying the maintenance opportunity, and is helpful to improve the production yield of the workshop and realize the improvement of the production efficiency of the workshop.