21 results about "Data acquisition software" patented technology

The invention discloses intelligent detection and regulation equipment for a traditional Chinese medicinal material drying process based on machine vision. The intelligent detection and regulation equipment comprises a detection module, a control module and an execution module, the detection module comprises a machine vision unit, a sensor and a dielectric property detection unit, and can obtain drying process information in multiple dimensions; a deep fuzzy control network system of the control module is combined with a deep neural network and a fuzzy control strategy, and a fuzzy control rule base can be automatically optimized and generated; the execution module adjusts parameters of the drying machine according to the instruction and forms closed-loop control through a feedback sensor; the equipment further comprises data acquisition software, a human-computer interaction interface and remote monitoring and fault diagnosis software. The problems that in the prior art, parameter detection is not comprehensive, real-time dynamic adjustment cannot be achieved, and the control precision is low are solved, intelligent and precise control is achieved, and the drying quality and the production efficiency of traditional Chinese medicinal materials are improved.

The invention discloses a hyperspectral imaging and AI combined agricultural pest monitoring system, and relates to the technical field of agricultural pest monitoring. The hardware system comprises an unmanned aerial vehicle flight platform carrying a hyperspectral imaging module, an edge calculation module, a power supply and a communication module, and a ground sensor arranged on the ground. The software system comprises data acquisition software, a 3D-CNN analysis module, an anomaly detection module and a farmland management system interface. According to the method, the problems that an RGB camera only captures apparent characteristics and early-stage lesions are difficult to recognize are solved, and the early-stage detection capability is remarkably improved through hyperspectral multi-band information and an attention mechanism; through lightweight design and end-side analysis, a ground station and a large-scale server are omitted, and the overall deployment cost is greatly reduced; a home terminal side scheme avoids network dependence and realizes rapid feedback; the model can utilize full-band biochemical information to realize higher identification accuracy.

The invention discloses a multi-mode road environment perception data acquisition system and method, the system comprises a data acquisition hardware device and a data acquisition software device, the data acquisition hardware device is composed of a mounting frame, a camera, a laser radar, an IMU device, an RTK positioning module, an industrial personal computer, a laser radar adapter and a power supply, point cloud data, image data, attitude data and positioning data can be synchronously acquired through various sensors; and the data acquisition software device is deployed on the industrial personal computer and consists of a driving program, a calibration program, a synchronization program, an acquisition program and a visualization program. The method has the advantages of high integration, accurate data synchronization, efficient data processing and storage and the like, the environment perception capability and decision accuracy of an automatic driving system are remarkably improved, and the method is suitable for the safe driving requirement in a complex traffic environment.

The invention relates to a measuring point automatic configuration method of an engine test bed data acquisition system. The method comprises the steps of generating engine measuring point information, establishing test bed data acquisition channel information, selecting to-be-matched measuring points and data acquisition software, screening available data acquisition channels which are non-rack channels, automatically matching the engine measuring point information with channel information of a test bed rack, and generating data acquisition configuration. According to the invention, the engine measuring points are automatically matched with the channels of the test bed rack, and data acquisition configuration is quickly generated, so that the manual processing time is greatly shortened, and configuration errors are reduced.

Suturing simulation systems and related methods comprising a table, a membrane housing associated with the table, a suturing membrane attached to the membrane housing, an internal camera disposed within the membrane housing, and at least one sensor associated with the table, wherein the internal camera and the at least one sensor are configured to collect suturing data. Other systems and methods include a data collection software module configured to synchronize the suturing image data from the internal camera and the suturing sensor data from the at least one sensor, thereby resulting in synchronized suturing data, and further can include a data processing software module configured process and extract metrics from the synchronized suturing data.

The invention discloses a Hardgrove grindability detection method and matched acquisition, relates to the technical field of Hardgrove grindability detection, and aims to solve the problems that data cannot be traced back, man-made interference is large and efficiency is low in existing Hardgrove grindability manual detection.According to the method, hardware equipment such as an electronic balance, a Hardgrove grindability tester, a PDA (Personal Digital Assistant), a computer and a code scanning gun are configured; according to the system, intelligent management of a whole detection process is realized by combining independently researched and developed detection software and data acquisition software, the accuracy and traceability of detection data are ensured by the system through technical means of blind code management, face recognition binding, automatic data acquisition and calculation, automatic data uploading and the like, and the detection efficiency is remarkably improved; the method is suitable for iron and steel enterprises and other scenes with strict requirements for Hardgrove grindability index detection of coal, and has wide application prospects and important practical value.

This embodiment provides a verification system and method for an underdetermined blind source separation algorithm based on a Yagi antenna. A blind source signal acquisition system is designed using a Yagi antenna, a superheterodyne receiver, and data acquisition software. Standard signal sources and walkie-talkies are used as experimental blind source signals. This blind source signal acquisition system has two acquisition channels. By setting the signal source and receiving frequency, it can simultaneously acquire intermediate frequency (IF) data from multiple source signals within the real-time bandwidth. The sampled IF data is used as input data for the algorithm to compare and verify the source number estimation and source signal recovery effects of various underdetermined blind source separation algorithms.

The application discloses a fracturing working condition monitoring method and system based on a virtual serial port data interception technology, which can efficiently collect operation parameters and fracturing construction parameters of field fracturing equipment, and ensure data compatibility through protocol conversion, and then safely transmit the parameters to a fracturing instrument vehicle computer. By starting virtual serial port setting software, seamless docking of physical serial ports and virtual serial ports is realized, which not only improves the flexibility of data reading, but also ensures the integrity and accuracy of data. After being buffered and checked on the instrument vehicle computer, the data is fed back to the data acquisition software of the fracturing vehicle in real time, and the other way is efficiently sent to the designated serial port through the virtual serial port, realizing the bidirectional flow of data. The read data is preprocessed, the key parameters are extracted, and are transmitted to the oilfield cloud data center in real time, providing solid data support for remote monitoring and intelligent analysis, thereby significantly improving the efficiency and intelligent level of fracturing construction.

The invention discloses a remote operation and maintenance management and control method and system for industrial upper computer data acquisition software. According to the method, based on an edge agent and Internet of Things platform collaborative architecture, a lightweight edge agent program is deployed on an industrial upper computer, upper computer management service is expanded on an Internet of Things platform, and full-life-cycle management of upper computer data acquisition software is achieved. The system adopts a containerized packaging technology to ensure the consistency of an operating environment, supports silent upgrade of a program and dynamic loading of configuration through a dual-channel hot update mechanism, and establishes a multi-dimensional health degree assessment rule to realize real-time monitoring and abnormal early warning. The problems that in the prior art, deployment depends on manual work, configuration updating is inconvenient, and the operation state is unknown are solved, the operation and maintenance efficiency and the data collection reliability are remarkably improved, and the method is suitable for large-scale industrial Internet of Things scenes.

This method uses network impairment simulation equipment to test the transmission performance of data acquisition software. It introduces a network impairment instrument to simulate complex network behaviors such as latency and packet loss in wide area networks, tests the adaptability and performance parameters of the data acquisition software in various network environments, and improves the success rate of software deployment in the field.

The invention provides a performance test method and system for industrial data acquisition software, and the method comprises the steps: setting a first performance index to a sixth performance index of the industrial data acquisition software, monitoring the industrial data acquisition software in advance, and carrying out the abnormality recording if the fifth performance index and the sixth performance index are not met in continuous five minutes; the data simulation module and the industrial data acquisition software are configured, the data acquisition process of the industrial data acquisition software is monitored after configuration is completed, the load is increased to meet the first performance index, and the number of measuring points is recorded as F1; the configuration of the industrial data acquisition software is adjusted according to the number F1 of the measuring points, the data acquisition process is monitored, the load is increased to meet the second performance index, the number F2 of the measuring points is recorded, and finally the performance of the industrial data acquisition software during stable operation is tested. According to the invention, the performance of the industrial data acquisition software supporting the Modbus TCP protocol can be tested, the technical index of the performance test is redefined, and the practical value is very high.

The invention discloses a method and a system for constructing a digital twin interphone. The method comprises the following steps of: 1, realizing hardware state data acquisition, software behavior data acquisition and communication environment data acquisition in a mode of combining hardware circuit transformation and software code instrumentation; 2, constructing a structured twinborn database through data preprocessing, feature engineering processing and database structure and storage by using the massive and heterogeneous original data with timestamps collected in the step 1, and training by using a machine learning technology to obtain a digital twinborn model of the interphone; 3, loading the digital twinborn model generated in the step 2, providing a virtual CPU, peripheral and radio frequency environment, executing unmodified actual interphone software codes or binary files, integrating a reinforcement learning AI algorithm in the digital twinborn model, performing automatic search and optimization on software parameters in a simulation environment, and obtaining a simulation result; and by taking power consumption and performance as optimization targets, displaying a simulation result in the form of a time sequence curve and / or a thermodynamic diagram.

1. The name of the design product: E-sampling real-time data acquisition software graphical user interface for electronic equipment. 2. The use of the design product: an electronic device. 3. The design points of the design product: the collection process of real-time data and the graphical user interface for displaying. 4. The picture or photo that best indicates the design points: front view. 5. The use of the graphical user interface: for the visualization management and operation process of the real-time data acquisition function of the E-sampling product, and the visualization presentation of the results. 6. The change state of the graphical user interface: the main view interface is a visual presentation of all currently connected lists. Selecting a connection in the main view interface and clicking on it enters the interface change state diagram 1, which displays all the device information under the connection. Selecting a device in the interface change state diagram 1 and clicking on it enters the interface change state diagram 2, which displays all the point situations under the device. Clicking on "add point" in the interface change state diagram 2 enters the interface change state diagram 3, which allows the addition of point operations.

The present invention relates to a method for automatically determining the vulcanization curve of a tire, belonging to the field of vulcanization detection in tire production. Based on a handheld terminal PDA, tire barcodes, vulcanizer PLC, wired network, server, and computer client, it includes the following steps: setting specific judgment rules for curve tires in the automatic determination system of the tire vulcanization curve, collecting the parameters of the curve generated by the vulcanizer PLC, each single curve element of the vulcanizer station, and alarm parameters, and making a determination through the comprehensive vulcanization alarm parameters and real-time curve data of the automatic determination system of the tire vulcanization curve in cooperation with the specific judgment rules for curve tires set in the automatic determination system of the tire vulcanization curve. When vulcanization is completed, curve tires are automatically detected and marked for freezing, and then an instruction is sent to the vulcanizer PLC through the data acquisition software to automatically stop the machine after the mold is opened at the end of vulcanization, and the tire is manually intercepted. In cooperation with the automated production line and production manufacturing system, the function of automatically intercepting curve tires in the next process can be realized.

The invention relates to the field of power plants, and discloses a power plant production control area network security cross-area monitoring method, which comprises the following steps: starting SNMP v3 services of industrial control network auditing, IDS and firewall network security equipment deployed in a first production control area and a second non-production control area; an OPC Server for SNMP (Simple Network Management Protocol) is installed on an interface machine of the first production control area; transmitting the coded data to interface machine data acquisition software of a non-production control second area through an industrial firewall; an OPC Server for SNMP (Simple Network Management Protocol) is installed on an interface machine of a non-production control second area; writing real-time data of the non-production control second area into a real-time database of the management information third area through a gatekeeper and a writing agent program; and analyzing the network security event and the equipment state through a real-time data client analysis program. According to the method, an independent monitoring network does not need to be independently constructed in a large production control area, and network security monitoring can be realized only by utilizing existing equipment and system to carry out data transmission.

The invention relates to the technical field of pedestrian indoor positioning, in particular to an arithmetic optimization algorithm-based finite-state machine gait detection method, which comprises the following steps of: S1, acquiring original data such as three-axis acceleration, angular velocity and the like based on sensor data acquisition software MATLAB Mobile software; s2, carrying out smoothing processing on the original data through zero offset correction and Kalman filtering; s3, according to a resultant acceleration change trend in the gait cycle and in combination with peak and trough threshold constraints, setting an undetermined threshold, and dividing the gait cycle into a plurality of discrete states; s4, constructing an arithmetic optimization algorithm by taking the step number deviation ratio as a fitness function, quickly obtaining an optimal threshold to be determined, substituting the optimal threshold to be determined into finite-state machine gait detection, and detecting pedestrian gait information; and S5, calculating pedestrian step length and course information based on the gait information, and establishing a motion equation to reconstruct a pedestrian trajectory. According to the technical scheme, the gait detection precision can be remarkably improved, and the adaptability and robustness of pedestrian positioning are effectively enhanced.

The utility model provides a chassis CAN bus communication detector and a vehicle thereof, and the detector comprises a vehicle-mounted host which is detachably connected with a to-be-detected vehicle, and the vehicle-mounted host is in communication interaction connection with a chassis CAN bus of the to-be-detected vehicle through a CAN bus interface; the portable computer is provided with data analysis software, and the vehicle-mounted host is in communication interaction connection with the portable computer through a network interface or a WIFI interface. The vehicle-mounted host adopts the embedded core processing module, is installed in a magnetic attraction mode, and has the advantages of being low in power consumption, small in size and convenient to install. Meanwhile, the vehicle-mounted host supports lithium battery power supply, so that the use portability is improved; in addition, the core processing module filled with data acquisition software can acquire various CAN data, network data and Beidou data, so that the use condition of the chassis can be monitored in all directions.

The present invention discloses an efficient cutting method for numerically controlled machine tools based on real-time prediction of surface roughness. First, a data acquisition software developed for the type of numerically controlled machine tool is used to collect and store the information of external sensors and the internal information of the machine tool in the numerical control system; then, data preprocessing, multi-source data feature extraction and fusion, and a prediction model are used to predict the surface roughness of the part; during the part machining process, the collected data is input into the model for real-time prediction and the machining parameters are adjusted, so as to improve the cutting efficiency on the premise of ensuring a certain quality of the part, and the optimal parameters are stored in the knowledge base. It effectively improves the disadvantages of uncertain quality in the production process of parts by numerically controlled machine tools and the need for manual surface roughness detection after production is completed, and the knowledge base can provide the best cutting parameters for the production of various parts, which is of great benefit to improving the production efficiency on the premise of ensuring a certain quality of the part.

The invention provides a construction method and device of data acquisition software and a data acquisition system. The construction method of the data acquisition software comprises the following steps: carrying out initial configuration according to test requirements; packaging an acquisition equipment information implementation object related to the test requirement into an object container; using the object container to instantiate and collect the business implementation object; an acquisition service interface is called through an equipment management interface, so that hardware drive code multiplexing of different acquisition equipment is realized; and issuing a command to the equipment management interface through the main control interface, so that the equipment management interface executes an acquisition service corresponding to the test requirement.

The invention discloses a microscopic confocal Raman spectrometer based on galvanometer positioning. The microscopic confocal Raman spectrometer comprises microscopic white light illumination, an excitation light source, a galvanometer scanning element, a Raman excitation and collection module, a spectrometer light splitting detection, a sample displacement table and a data acquisition software processing module. Wide excitation wavelength coverage is realized through beam combination of multi-wavelength narrow linewidth laser, and fluorescence interference is avoided. An electric switching optical filter is used, and low wave number detection (such as 50 wave number) is met. The galvanometer scanning element has high positioning resolution (such as 50nm), and can realize rapid scanning imaging or single-point spectrum acquisition. And the white light illumination module meets the sample observation requirement. The spectrometer adopts a high luminous flux design, combines a high-sensitivity detector and a wavelength calibration algorithm, and realizes weak signal detection capability and spectrum coverage range. And the data acquisition software processing module is used for acquiring, processing, analyzing and mechanically controlling the Raman signals. According to the application example disclosed by the invention, a good result shows the advantages of feasibility, expansibility and cost performance of the method.

The present invention belongs to the technical field of network data transmission. Provided are a visual configuration method and system for a multi-protocol industrial data acquisition process. The method comprises: performing acquisition protocol communication process logical topology configuration, generating an acquisition protocol communication logical topology diagram, and editing a data acquisition process in a data acquisition protocol on the basis of a graphical configuration module; compiling the acquisition protocol communication logical topology diagram to generate an instruction code; and in response to data acquisition software loading the instruction code in a driver mode and configuring communication parameters, acquiring data of the corresponding data acquisition protocol. By using the system and method provided in the present invention, on-site engineering implementation personnel can directly create an instruction code of a corresponding acquisition protocol to acquire data, and developers no longer need to develop data acquisition drivers for different data acquisition protocols, thereby reducing development costs and improving the efficiency of industrial data acquisition.