15results about How to "Efficient and Accurate Collection" patented technology

The invention relates to the field of technical data acquisition, and particularly discloses a data acquisition method and device for an industrial Internet of Things and a storage medium, and the method comprises the following steps: S1, constructing a dynamic sensor network, and collecting the operation data of industrial equipment in real time through a multi-modal sensor; s2, dynamically adjusting a data acquisition frequency # imgabs2 # based on an environment noise coefficient # imgabs0 # and an equipment health index # imgabs1 #; s3, performing hierarchical compression and encryption on the acquired data, and allocating a compression rate # imgabs4 # and encryption strength # imgabs5 # according to data type importance # imgabs3 #; s4, executing load balancing through an edge computing node, and distributing a computing task to an optimal node; and S5, storing the processed data into a distributed database according to spatial-temporal correlation, and generating a multi-copy disaster recovery index. Through dynamic acquisition, intelligent processing, optimized storage and adaptive strategy adjustment, accurate and efficient data acquisition is realized, data security and processing performance are flexibly guaranteed, storage query efficiency and disaster tolerance capability are improved, and storage resources are utilized to the maximum extent.

The invention relates to the technical field of building maintenance management, and discloses a building use process maintenance management system and method based on artificial intelligence, and the system comprises a building maintenance control module, a building maintenance problem recognition processing module, and a building maintenance problem output module. An unmanned aerial vehicle carries a cloud lens to accurately collect an outer wall state image of a real-time inspection position of a building outer wall, and intelligent identification of a damage problem type of the building outer wall is carried out by combining an intelligent search algorithm and scientifically preset image information of different building outer wall damage types; based on an artificial intelligence algorithm, building outer wall damage type identification information and standard stored different building outer wall damage type repair process information are combined to carry out intelligent assessment on a damage repair scheme of the building outer wall, and meanwhile, building outer wall damage position coordinates are searched autonomously; intelligent data analysis of a building outer wall damage repair scheme and a damage position is realized, and intelligence and reliability of building maintenance operation are improved.

The invention discloses a fingerprint identification method and system based on an optical identification induction technology, and relates to the technical field of fingerprint identification, and the method comprises the steps: collecting a fingerprint surface texture image through the total reflection principle of light; converting the collected fingerprint surface texture image into a fingerprint surface texture grayscale image; determining the main direction and frequency of the fingerprint streaklines, and separating the adhered fingerprint streaklines; smoothing stray point information in the fingerprint image by using an image filtering algorithm; the fluctuation characteristics of the fingerprints are further highlighted by using morphological expansion and corrosion operation; extracting morphological features of fingerprints and local features of streaklines from the preprocessed fingerprint image; and outputting the user information corresponding to the fingerprints in the database higher than the preset similarity value. By arranging the image acquisition module, the image processing module, the feature extraction module and the similarity comparison module, the interference of environmental factors is reduced, the fingerprint image quality is ensured, the fingerprint identification time is shortened, and the real-time performance of the system is improved.

The invention discloses a podophyllotoxin extraction process monitoring system based on data analysis, and particularly relates to the field of medicine. Comprising a podophyllotoxin extraction data acquisition module, a podophyllotoxin extraction parameter monitoring module, an acquired data preprocessing module, an influence data analysis module, an abnormality diagnosis module, a process optimization module and a historical data storage module. The invention discloses a podophyllotoxin extraction process monitoring system based on data analysis. A podophyllotoxin extraction data acquisition module is used for completing acquisition and transmission tasks of first basic data in a podophyllotoxin extraction process, and a solid data basis is provided; a second extraction effect is obtained through an influence data analysis module, the influence degree of each parameter on the final extraction effect in the extraction process is accurately grasped, and a quantitative basis is provided for the extraction effect; the process optimization parameters are obtained through the process optimization module, and the process parameters are rapidly and accurately adjusted according to the actual production condition so as to achieve the optimal production effect.

The invention relates to the technical field of automobile part machining control, and discloses an automobile part production monitoring method and system, and the system comprises an automobile part machining welding spot feature recognition module, an automobile part machining welding spot state analysis module, and an automobile part spot welding process parameter adjustment module. According to actual coordinate parameters and theoretical coordinate parameters of the body-in-white part machining welding spots, coordinate error parameters of the body-in-white part machining welding spots and theoretical position adjusting coordinate parameters of the body-in-white part machining welding spots are accurately measured by combining numerical analysis; digital metering of spot welding machining position errors and spot welding machining theory adjusting coordinates of automobile body-in-white parts is achieved; and the automobile part generation monitoring end performs automobile part machining welding spot position parameter adjustment operation in a self-adaptive manner based on the body-in-white part machining welding spot theoretical position adjustment coordinate parameters in combination with the industrial robot control end and the spot welding machining equipment.

The present invention provides a multi-strategy coupled virtual power plant dispatching system and method, including: a data acquisition module, used to collect real-time operation data of each data source, and analyze the real-time operation data to obtain the power forecast demand of the distributed user-side energy storage power station; a strategy determination module, used to perform multi-dimensional analysis of the power forecast demand based on the multi-dimensional optimization target, obtain the multi-dimensional dispatching strategy, and couple and coordinate the multi-dimensional dispatching strategy to determine the optimal balance point of the multi-dimensional optimization target; a dispatching management module, used to generate a dispatching plan based on the optimal balance point, and dispatch the distributed user-side energy storage power station based on the dispatching plan, and dynamically optimize the dispatching plan based on the execution result of the power dispatching. The dispatching effect and accuracy are guaranteed, and the multi-strategy coupling algorithm enables the virtual power plant to maximize the use of distributed user-side energy storage power station resources and optimize the overall operating efficiency while ensuring economic benefits.

The invention belongs to the technical field of fluid mechanics experiments, and relates to a flapping-fan-deformation coupling variable camber flapping wing ground experiment device which comprises a water tunnel frame and a deformation flapping wing movement mechanism, the deformation flapping wing movement mechanism comprises a linear sliding rail, a first motor, a long shaft, a second motor, a short shaft and a deformation flapping wing, and the deformation flapping wing comprises a front wing section and a rear wing section. The front wing section is rotationally connected with the rear wing section through a rotating shaft, the long shaft drives the front wing section, the short shaft drives the rear wing section, and the front wing section is connected with the rear wing section through the rotating shaft; according to the invention, through a force measuring mechanism in a deformation flapping wing movement mechanism, computer assistance and other regulation and control devices are utilized to collect torsional force and moment of force borne by a deformation wing during movement, and a visual image of a flow field vortex during pitching, sinking and floating and compound movement of the deformation wing in water flow is obtained, so that data processing and analysis are facilitated; therefore, a data foundation is laid for improvement of cruising ability, propelling performance, stability and the like of the flapping wing aircraft.

The utility model relates to a manipulator for geological ore sampling, which comprises a base component, a movable component and a sampling component which are arranged on a vehicle body, the base component is positioned at the front end of the vehicle body, the movable component is mounted above the base component, and the sampling component is mounted at the tail end of the movable component. The ore sampling device is scientific and reasonable in design and ingenious in structural design, changes of different angles of the components can be achieved through linkage matching of the multiple components, meanwhile, large ore can be crushed and sampled, and efficient collection of the ore is guaranteed.

This invention relates to the technical field of substance detection, and discloses an intelligent detection method and system for seabuckthorn vinegar flavor substances based on gas chromatography-mass spectrometry. By dynamically acquiring chromatographic and mass spectrometric combination images of seabuckthorn vinegar flavor substance detection points in the fermentation tank based on the coordinate information of the detection points, combined with sampling equipment, a gas chromatography system, and a mass spectrometry system, the system adaptively acquires chromatographic and mass spectrometric combination images of seabuckthorn vinegar flavor substances at different spatial locations within the fermentation tank. Based on the chromatographic and mass spectrometric combination image information of the seabuckthorn vinegar flavor substance detection points in the fermentation tank, and combined with intelligent image recognition algorithms and chromatographic and mass spectrometric combination information of different substance characteristic standards based on big data storage, the system intelligently detects the types and concentrations of flavor substances at the detection points in the fermentation tank, achieving intelligent, comprehensive, and scientific detection of seabuckthorn vinegar flavor substances based on chromatographic and mass spectrometry.

This invention discloses a cable production identification and monitoring system and method based on cable images, belonging to the field of image recognition technology. The system includes: acquiring a sequence of cable surface depth images to construct a grayscale surface map along the cable surface depth direction; using the central ridge of the grayscale surface map as a dynamic axis of symmetry, detecting candidate pixels through multi-scale morphological top-hat transformation to form a symmetrical residual distribution map; combining the eight-neighbor gradient direction field and Hessian matrix curvature to remove false defect points, obtaining an effective image, and inputting it into a pre-trained multi-task neural network to simultaneously output a defect segmentation mask and category label; generating a three-dimensional mesh model with dimensional accuracy through Poisson surface reconstruction; and finally, using the physical coordinates of the defect center to drive a laser marking machine to mark a QR code containing key information, which is then associated and stored in a blockchain database. This application improves the accuracy and efficiency of defect identification, realizing the quantitative characterization and full lifecycle management of defects.

This invention relates to the field of road construction technology, specifically disclosing a road construction surveying device and method, comprising: a surveying frame; a sleeve mounted on the surveying frame, the bottom of the sleeve being in contact with the surveyed ground, and an end cap on the top of the sleeve; a drilling mechanism, including a power component mounted on the surveying frame, a main shaft driven by the power component to rotate and slide vertically along the end cap, and a drill rod located at one end of the main shaft inside the sleeve; and a sampling pipe mounted on the end cap and communicating with the inside of the sleeve. This invention solves the problem in traditional rock and soil surveying processes where dust generated during drilling directly disperses into the air, causing pollution to the surrounding environment.

The invention relates to the technical field of biological detection and freeze-drying application, in particular to an air pathogen, biological and chemical component enrichment detection system. The detection system comprises a sample enrichment device, an inactivation cracking device and a detection device. An enrichment device of the sample enrichment device is used for attaching a pathogen sample in the air to the hydrophobic breathable film. And the inactivation detection device is used for inactivating and cracking pathogens on the hydrophobic breathable film in the lysate reagent tube. And the detection device is used for detecting the content of pathogens in the lysis solution reagent tube after the lysis is completed. According to the invention, the enricher can be flexibly installed and can be dispersedly installed at a specific position, so that the collected sample is more representative and can reflect the pathogen distribution condition of a space environment; meanwhile, the enrichment cap is disposable, no pollution risk exists in the operation process, and biosafety and cross contamination risks can be effectively shielded through inactivation splitting decomposition and shell disinfection. Therefore, the method has the effects of simplicity in operation, high efficiency and accuracy in the process of detecting air pathogens.

The invention relates to the technical field of multimedia data retrieval and processing, and discloses an earthquake science popularization multimedia content integration system and method. The system comprises an earthquake science popularization multimedia material acquisition module, an earthquake science popularization file generation module, and an earthquake science popularization file integration result display module; based on earthquake science popularization multimedia material editing application software parameters combined with an intelligent search algorithm and a standard stored multimedia data editing application software operation instruction library, scientific identification of editing application software operation instruction library objects required for target earthquake multimedia material data editing is performed, thereby improving the speed and reliability of earthquake science popularization multimedia content integration; accurately identifying editing application software operation instruction information required for target earthquake multimedia material data editing and autonomously and accurately executing earthquake science popularization file production operations, thereby realizing intelligent integration of earthquake science popularization multimedia content and improving the functional diversity and applicability of earthquake science popularization multimedia content integration.

The invention relates to the technical field of petroleum equipment status feedback alarm, and discloses an off-grid petroleum equipment intelligent monitoring system and method, wherein the system comprises a target pumping unit monitoring position search module, a target pumping unit operating status monitoring module, and a target pumping unit abnormal operating status alarm module; the target pumping unit mechanism appearance image parameters are combined with an intelligent search algorithm and scientifically preset pumping unit mechanism fault appearance image parameters to perform intelligent analysis of the target pumping unit mechanism appearance abnormal status, thereby realizing reliable and true analysis of the appearance status of each mechanism of the target pumping unit; based on the target pumping unit mechanism operation abnormal status recognition result and the target pumping unit mechanism appearance abnormality analysis result, a scientific, comprehensive and accurate analysis of the operating status of the target pumping unit in the oil field is realized, thereby improving the authenticity and reliability of the oil field pumping unit operating status monitoring result.

The invention provides a heterogeneous hardware accelerated supply chain enterprise carbon emission intelligent terminal. Comprising an acquisition module, a storage module, an analysis module and a network module. The acquisition module collects carbon emission data of each link on a power grid supply chain in production, storage, maintenance and scrapping processes in real time through a carbon emission gas sensor deployed on an end side; the storage module adopts an optimally designed time sequence database system, constructs a programmable network hardware read-write request processing sub-module, a query optimization sub-module based on a hardware increment materialized view and a time sequence data compression storage sub-module based on hardware, and realizes storage and management of a large amount of carbon emission time sequence data uploaded by the acquisition module; the analysis module cleans and preprocesses the data stored in the database; and the network module is responsible for safely and quickly transmitting the processed data to a cloud end or other terminal equipment. The effects of accurately and efficiently collecting carbon emission data and efficiently processing large-scale carbon emission data are achieved.