79results about How to "Improve data collection efficiency" patented technology

The invention discloses a 6D pose estimation method and system based on an RGBD camera, and relates to the technical field of computer vision processing. Calibrating camera parameters based on the calibrated camera imaging; reconstructing a three-dimensional model and constructing a data set; segmenting the target object and calculating the actual size based on the three-dimensional model and the data set; establishing a 6D pose estimation network model based on the three-dimensional model and the data set; and performing pose estimation based on the actual size. The method has the advantages that the accuracy of 6D pose estimation is remarkably improved by combining the RGB image, the depth image and the point cloud data, object region segmentation is performed by using the SAM model, the actual size of the object is visually calculated by combining the depth information and the point cloud data, the precision of size estimation is improved, and the method is suitable for popularization and application. The introduction of depth information enables the pose estimation system to have better adaptability to objects with different sizes, shapes and surface features, and improves the robustness and accuracy of the system.

The invention provides an intelligent mineral resource exploration and evaluation system, and relates to the technical field of data processing, and the system comprises a data preprocessing module which is used for preprocessing data to obtain preprocessed data; the stress analysis module is used for analyzing the rock physical property and the geological structure stress state of the exploration area according to the preprocessed data so as to obtain the relevance between the rock physical property and the geological structure stress state; calculating a dynamic adjustment coefficient according to the relevance between the rock physical property and the geological structure stress state; the resource reserve estimation module is used for estimating mineral resource reserves according to the dynamic adjustment coefficient; and the resource evaluation module is used for evaluating the mineral resource reserves to obtain a final evaluation result. According to the method, accurate analysis of the rock physical property and the geological structure stress state is realized, so that the accuracy and the reliability of exploration and evaluation of mineral resources are greatly improved.

The invention discloses a pig single-view three-dimensional reconstruction method based on deep learning, and the method is called Magfup. In order to solve the problems that single-view three-dimensional reconstruction viewpoint learning is unstable and training is difficult due to lack of real three-dimensional data, an implicit-explicit combined three-dimensional representation method is adopted, high-dimensional data features subjected to super-resolution optimization are combined, a high-density pig three-dimensional grid can be reconstructed only through a single image, and the problem that training is difficult is solved. And data acquisition cost and equipment requirements are reduced. According to the method, the three-dimensional grid surface is optimized through the Laplacian smoothing method, and the reconstruction quality is improved. According to the invention, the model can learn the general shape and posture characteristics of the pig, predicts the three-dimensional posture, shape and texture information of the specific pig, and more accurately and comprehensively reflects the behavior characteristics of the pig. Therefore, the method can adapt to complex and changeable environments and pig behaviors in a pig farm, and a more comprehensive and accurate data basis is provided for pig behavior analysis.

The invention relates to the technical field of photovoltaic system monitoring, in particular to a photovoltaic power station fault supervision system based on a neural network model, and the system comprises a data collection module which is used for collecting string current data and voltage data; the IV analysis module is used for obtaining a fault diagnosis result; the digital power station modeling module is used for identifying and numbering the coordinates of the photovoltaic string; an inspection route planning module; the unmanned aerial vehicle inspection module is used for performing inspection control on the unmanned aerial vehicle to obtain inspection data; an inspection data uploading module; the CV analysis module is used for performing defect identification on the inspection data to obtain a defect identification result; the fusion inspection analysis module is used for outputting a fusion diagnosis result and also used for selecting a final fusion diagnosis result; the visual presentation module is used for carrying out visual presentation; the report module is used for generating a report; and the navigation defect elimination module is used for carrying out navigation defect elimination. According to the invention, the automation level and inspection efficiency of fault diagnosis are improved.

The invention provides a data acquisition method and device based on a multi-order queue and electronic equipment, and the method comprises the steps: obtaining production data generated by industrial control equipment; according to the acquisition frequency, the production data is distributed to each level queue of the multi-level queue, the queue number of each level queue is adjusted according to the real-time data volume of each queue in each level queue, and each level queue is used for caching the production data of different acquisition frequencies; according to a data packaging strategy, the production data in the multi-order queue is packaged, and the data packaging strategy comprises a timing packaging strategy and a quantitative packaging strategy; and uploading the packaged production data to an industrial Internet of Things platform. Production data acquisition is performed through the multi-order queue, so that the processing pressure of a single queue can be effectively relieved, the data transmission frequency is reduced, and the resource consumption is reduced, thereby improving the efficiency and reliability of data acquisition.

The invention discloses a vehicle cloud collaborative data acquisition method based on a central gateway, and relates to the technical field of information processing. The method comprises the following steps: periodically acquiring CAN / LIN data through central gateway equipment, and filtering, classifying, compressing and storing the CAN / LIN data; the ECU with the fault actively uploads fault information to the central gateway equipment; and the central gateway equipment packages and uploads the collected data and the received fault information to a cloud end in an MQTT transmission mode to carry out real-time monitoring and predict the running state of the vehicle. Through real-time monitoring and analysis of vehicle data, the state of the vehicle is comprehensively mastered, potential problems are found and solved in time, accidents are reduced, and the safety of the vehicle is improved; the data acquisition efficiency and utilization efficiency of the vehicle are improved; based on the remote diagnosis capability, the method is used for more convenient vehicle fault diagnosis and fault prediction analysis, improves the after-sales diagnosis efficiency, and reduces the fault analysis cost.

The invention relates to a rice canopy height extraction method and device based on a canopy interception compensation mechanism, equipment and a medium. The method comprises the following steps: acquiring laser radar point cloud data returned from a rice field to construct a laser radar point cloud data set; projecting the laser radar point cloud data on a horizontal plane, dividing the horizontal plane according to grid units of a preset area threshold, and counting the proportion of non-ground points in each grid unit as a canopy laser interception rate; determining a preset compensation function, and correcting a difference value between the rice field digital surface model and the rice field digital elevation model according to the canopy laser interception rate and the compensation function so as to construct a rice canopy height extraction model; and determining the rice canopy height in the to-be-researched rice field area based on the rice canopy height extraction model. The precision of the rice canopy height extraction model can be remarkably improved, and manpower and material resources are greatly saved.

The invention discloses a vehicle environment data uploading method and device, equipment and a storage medium, and relates to the technical field of data processing, and the vehicle environment data uploading method comprises the steps: obtaining sensor data and an environment change flag bit; when the change frame number of the environment change flag bit reaches a preset frame number threshold value, a yaw angle change value and a pose change value are obtained according to the sensor data; when the system performance, the yaw angle change value and the pose change value all meet preset conditions, caching the sensor data; and when the sensor data reaches a preset data threshold value, uploading the sensor data. According to the method, efficient acquisition and uploading of the environment data are realized through judgment of the environment change mark monitored by the continuous frame vehicle in real time and modification of the key frame screening threshold value by the system resource information. The data acquisition efficiency and the system resource use efficiency are improved, the acquired data transmission and storage pressure is reduced, and the resource processing consumption of the cloud server is reduced.

The utility model relates to the technical field of data transmission, in particular to a high-precision multi-dimensional cross-modulation data acquisition and analysis system. The system comprises a data acquisition module and a data transfer module, and the data acquisition module is connected with the data transfer module; the data acquisition module comprises a dynamic weighing instrument, a laser radar and a camera, the data transfer module comprises a sensor node unit, a communication gateway and a server, the sensor node unit is respectively connected with the dynamic weighing instrument, the laser radar and the camera, and the sensor node unit uploads received data to the communication gateway. The server is used for receiving the uploaded data in the communication gateway and uploading the data to the upper computer, the state, characteristics and behaviors of the vehicle can be known more deeply through the plurality of data acquisition devices, and data acquisition and monitoring can be carried out in a wider area.

The invention discloses a dynamic concurrent acquisition method, system and device of a power line carrier concentrator and a medium, and the method comprises the steps: installing a concentrator for power utilization information acquisition at the position of a distribution transformer, and the concentrator is used for managing intelligent electric energy meters of all users under the distribution transformer and acquiring power utilization information of each user; the concentrator can communicate with a plurality of intelligent electric energy meters at the same time; the concentrator sends an inquiry message to the intelligent electric energy meter, and takes the time required by the intelligent electric energy meter from receiving the inquiry message to feeding back a response message to the concentrator as response time; and the concentrator sends inquiry messages to other intelligent electric energy meters at the same time within the response time. According to the invention, the most appropriate concurrent number under different environments or different time can be dynamically measured and perceived, and the collection effect and efficiency of the concentrator in various environments are improved.

The invention provides a distributed SAR time-frequency synchronization method and device. The method comprises the following steps: determining a local pseudo range of a satellite in a distributed SAR system relative to a Beidou satellite navigation system; and adjusting a reference frequency source signal corresponding to a satellite in the distributed SAR system based on a Beidou satellite navigation system to obtain a reference frequency source signal. And the first satellite opens the inter-satellite link according to the reference frequency source signal corresponding to the first satellite. And sending a first local pseudo range corresponding to the first satellite to a second satellite in the distributed SAR system based on the inter-satellite link. A clock difference of the second satellite relative to the first satellite is determined based on the second local pseudorange and the first local pseudorange. And adjusting the frequency of a voltage-controlled constant-temperature crystal oscillator of the second satellite based on the clock difference. According to the method provided by the invention, time-frequency synchronization between satellites can be realized simply and efficiently at low cost.

The utility model relates to the field of soil ecological data collection, concretely relates to a kind of soil ecological data real-time acquisition instrument, including bearing table, the support leg is symmetrically installed in the bearing table below, drill bit is arranged in the bearing table below.The utility model can make each group of connecting cylinder two under the lifting action of connecting table and cooperate drill bit by the positive and negative rotation of servo motor two, can make each group of connecting cylinder two whole drilling into soil, and by the rotation of opposite direction, make the gap between each group of connecting cylinder two expand in soil, and the repeated lifting of connecting table can collect soil into collection cylinder, by this structure, equipment can be effectively sent into soil interior to collect, and different depth soil is not mixed in during the collection process, to ensure the accuracy of collection and subsequent analysis, and overall structure is simple to operate, greatly improve the efficiency of soil data collection.

This invention provides a static parameter measurement device for overhead contact lines based on an unmanned aerial vehicle (UAV) platform, belonging to the field of railway overhead contact line inspection technology. It includes a UAV body with a laser measuring device mounted on its top and a telescopic support mounted on its side. The UAV body includes a processor chip, and the laser measuring device is connected to the processor chip. After takeoff, the telescopic support secures the UAV, and the laser measuring device measures the overhead contact line. The measured data is transmitted in real time to the processor chip for processing and analysis, ultimately achieving high-precision measurement of the static parameters of the overhead contact line. By linking the top-mounted laser measuring device with the processor chip, it is possible to conduct inspections and parameter measurements on conventional railway lines outside of designated maintenance windows, achieving high-precision, non-contact distance or terrain measurement, suitable for complex environments, and significantly improving data acquisition efficiency.

The invention discloses a double-probe pushing device which comprises a base, two probe winding mechanisms oppositely arranged on the base, two probe pushing and pulling mechanisms and a driving mechanism. The two probe push-pull mechanisms are respectively located at one side of the two probe winding mechanisms, and each probe push-pull mechanism is located in the cable laying direction of the probe winding mechanisms; the driving mechanism comprises a first driving motor and a T-shaped double-output-shaft speed reducer connected with a driving shaft of the first driving motor. And the two probe push-pull mechanisms are respectively positioned on two opposite sides of the T-shaped double-output-shaft speed reducer and are respectively connected with two output shafts of the T-shaped double-output-shaft speed reducer. According to the double-probe pushing device, the two probe winding mechanisms, the two probe pushing and pulling mechanisms and the driving mechanism are integrated, the arrangement is reasonable and compact, and the size is reduced; the two probe cables can penetrate into the two heat transfer pipes at the same time to conduct eddy current detection, the data collection efficiency is higher, the application range is wider, and transmission is stable.

The invention discloses an industrial internet data service processing system based on multi-dimensional data, which belongs to the technical field of industrial internet data service processing and comprises an application analysis module, a data acquisition module, a transmission control module and a storage management module. The application analysis module performs demand analysis on each upper-layer application to obtain each demand data type corresponding to each upper-layer application and a demand emergency value corresponding to each demand data type; the data acquisition module is used for acquiring multi-dimensional data in real time to obtain corresponding network monitoring data and storage monitoring data; the transmission control module is used for transmission control; identifying each data type corresponding to the multi-dimensional data, and performing association analysis on each data type to form an association chain of each data type; evaluating each data type association chain to obtain a transmission sequence corresponding to each data type association chain; determining transmission data according to the network monitoring data and the transmission sequence; transmitting the transmission data; and the storage management module is used for data storage management.

The utility model discloses an electronic information acquisition device, which belongs to the technical field of electronic information data and is mainly used for data acquisition of complex terrains. The electronic information acquisition device comprises a supporting mechanism, the supporting mechanism comprises a base, an installation mechanism is arranged on the upper surface of the base, an information acquisition device is arranged on the installation mechanism, hinge seats which are circumferentially arranged around the center of the base at intervals are arranged on the lower surface of the base, and the hinge seats are hinged to the supporting mechanism. The other end of the supporting mechanism is provided with a peg base, the tip of the peg base is perpendicular to the horizontal plane and faces the side away from the information collector, and the center of the lower surface of the base is provided with a fixing base and a fixing clamp connected with the supporting mechanism in a buckled mode. By arranging the telescopic mechanism hinged to the base and the ground nail base, the device can stretch and rotate, can be adjusted according to the installation point position, can be rapidly fixed to an outdoor data acquisition site, can adapt to various terrains, and improves the installation and fixing efficiency and the data acquisition efficiency.

The invention provides an image data acquisition processing method and system based on computer vision, and relates to the technical field of computer vision, and the method comprises the steps: obtaining original acquisition images of a target recognition object at different angles; performing image de-noising on each original acquisition image to obtain a de-noised image; performing image enhancement on the de-noised image to obtain an enhanced image; performing feature extraction on the enhanced image to obtain image features corresponding to different angles; performing feature fusion on the image features to obtain fused features; and inputting the fusion feature into a trained multi-view target recognition model to obtain a processing result. According to the invention, the target identification capability and the image data acquisition and processing efficiency can be improved.

The invention discloses a centralized and safe acquisition method for PLC data in the same network segment of multiple production lines. The method comprises the following steps: S1, configuring a data acquisition network hardware environment of multiple units; s2, setting a network environment; s3, configuring bidirectional isolation of different IP network segments and carrying out communication; s4, controlling data acquisition and transmission of the plurality of units; and S5, controlling data receiving and centralized display of the plurality of units. The invention also discloses a centralized safety acquisition system for PLC data in the same network segment of multiple production lines. According to the invention, each production line control network can be isolated from a centralized acquisition network, but a bidirectional communication function can be implemented, and the network communication reliability of the system is improved.

The utility model provides an electronic room data acquisition device. The device comprises a box body; the data acquisition module is arranged in the box body, and the input end of the data acquisition module extends out of the box body; the photoelectric conversion module is arranged in the box body, and the input end of the photoelectric conversion module is connected with the output end of the data acquisition module; and the terminal box is arranged in the box body, the input end of the terminal box is connected with the output end of the photoelectric conversion module, and the output end of the terminal box extends out of the box body. According to the data acquisition device between the electronics, the overall circuit structure is simplified, the disassembly and assembly difficulty is reduced, the data acquisition efficiency is improved, and the connection points are greatly reduced, so that the overall failure rate is reduced, and the overall reliability is improved.

The invention discloses a metal appearance defect detection method and system, and relates to the technical field of image data processing, and the method comprises the following steps: collecting test image data of test metal pieces in different dimensions; performing image extraction processing on the test image data to obtain test image extraction data; inputting the test image extraction data into an image defect processing model to obtain image result data; judging whether the category information in the image result data is a normal category or not, if so, indicating that the test metal piece has no defect and outputting an OK signal, and if not, indicating that the test metal piece has a defect and outputting an NG signal; and storing and counting the output signal type and the corresponding image result data. Manual detection is not needed, the influence of human factors is avoided, the detection efficiency, precision and stability are improved, the data collection efficiency is high, and the cost is low.

The present invention discloses a device data collection method and system based on an Internet of Things control platform, which relates to the technical field of the Internet of Things, including obtaining device information and classifying it into a cloud resource directory; defining data sources and designing data output requirements; dynamically selecting data transmission paths; enabling multi-path redundancy mechanisms to transmit data when the network is not good; and reorganizing and verifying data after it arrives. The present invention improves resource organization efficiency through fine device classification and automated management; customized data collection strategies ensure the pertinence and efficiency of data processing; adaptive compression and intelligent path selection mechanisms ensure data transmission speed; multi-path redundancy design further enhances transmission stability and reduces the risk of data loss; data reorganization and verification mechanisms ensure data integrity and credibility, which overall improves the efficiency, reliability and security of Internet of Things data collection and provides strong support for data applications.

The invention discloses an on-site data acquisition gateway, which comprises a shell, a main control board, a power supply module, an interface array, a cooling assembly, a buffer assembly, a sealing assembly and an electromagnetic shielding layer, an accommodating cavity is formed in the shell, and a functional opening is formed in the shell; the main control board is arranged in the accommodating cavity; the power supply module is arranged in the accommodating cavity; the interface array is embedded in the interface array opening; the cooling assembly comprises a fan, heat dissipation fins, a flat heat pipe and a circulating water path, a first plate part of the flat heat pipe abuts against the main control board and the power module, a second plate part of the flat heat pipe is embedded in the heat dissipation opening, the circulating water path is arranged in the heat dissipation fins, one side of each heat dissipation fin abuts against the second plate part, and the other side of each heat dissipation fin is fixedly connected with the fan; a plurality of oil buffers of the buffer assembly are fixedly connected with the main control board and the shell respectively; a plurality of sealing pieces of the sealing assembly are respectively arranged at the functional openings; and the electromagnetic shielding layers are uniformly distributed along the inner wall of the shell.

The invention provides a poultry breeding management system and method. The poultry breeding management system comprises a weighing module, an acquisition terminal, a cloud system and a mobile terminal. Through the weighing module, the acquisition terminal, the cloud system and the mobile terminal, various data weighed by the weighing module can be input into the acquisition terminal, the acquisition terminal can store and send the various data to the cloud system, and an operator can read the various data and analysis results stored in the cloud system by sending a request to the cloud system. Therefore, in the process of breeding poultry breeding, the efficiency of data acquisition and data analysis is improved, and the management effect of breeding poultry breeding is improved.

The present application relates to a three-dimensional transient imaging geological disaster monitoring radar antenna control method, including: determining a reference array element in a spherical array according to a preset desired direction, configuring effective working array elements based on the reference array element; determining the beam width of the spherical array element according to the resolution of the spherical array imaging system, and then determining the effective synthetic aperture angle of the working array element; calculating the path difference, azimuth and elevation angle from any array element in the spherical array to the target point; and dynamically adjusting the working state of the antenna unit by sliding partitions. The radar antenna adopts a spherical array with equal arc length uniform layout, and the array elements adopt a one-transmit-multiple-receive mode, using continuous or pulse signals. The array elements are distributed on the sphere, receiving reflected signals from different directions, and performing coherent superposition processing on the received signals to synthesize an equivalent imaging effect of a large aperture array, thereby improving data acquisition efficiency and obtaining higher imaging quality.

The invention relates to the technical field of tea disease and insect pest recognition, in particular to a tea disease and insect pest recognition system and device based on an image recognition target detection technology. The tea plant disease and insect pest identification system comprises a path setting module used for screening out an optimal detection path passing through all photographing positions; and the target recognition module is used for constructing a deep convolutional neural network target recognition model based on parrot algorithm optimization and carrying out disease and pest recognition on the preprocessed image. The unmanned aerial vehicle is used for photographing, so that the target tea image can be quickly and comprehensively photographed, and high-resolution pest and disease damage image data can be obtained. Through an optimization method based on a He-Make algorithm, a globally optimal detection path can be found. Meanwhile, hyper-parameters of the deep convolutional neural network model are optimized through the parrot algorithm, the model performance is improved, the optimized deep convolutional neural network model can better learn the pest and disease damage characteristics of the tea image, and the recognition accuracy is improved.

The utility model relates to a fiber-optic gyroscope data acquisition device, which comprises a case shell and a control circuit positioned in the case shell, the interface board is provided with a plurality of channels and can be simultaneously connected with a plurality of fiber-optic gyroscopes; the power supply board is connected with the interface board and is used for supplying power to the interface board; the main control board is connected with the interface board and the power supply board, controls data acquisition, integration and transmission of the fiber-optic gyroscope, controls power on and off of the power supply board, and receives data of a working circuit of the power supply board; and the display screen is connected with the main control board and is used for displaying the current value of each channel in real time and monitoring the power supply state of the fiber-optic gyroscope. Compared with the prior art, the multi-channel fiber-optic gyroscope data acquisition device can realize data acquisition of multi-channel fiber-optic gyroscopes of different models, improves the acquisition efficiency, and is high in integration level and convenient to maintain.

The present invention is applicable to the technical field of Internet of Things, and provides an information collection method and terminal equipment, the method comprising: receiving an information upload request, the information upload request carrying an identity mark of a target sensor and the type of information uploaded by the target sensor; determining a target interface corresponding to the type of information uploaded by the target sensor according to a pre-stored correspondence between the information type and the interface; connecting the target interface to the target sensor according to the identity mark; after completing the connection, receiving the information uploaded by the target sensor; verifying whether the information is complete; if the information is verified to be complete, storing the correspondence between the information and the identity mark, so as to solve the problem that the information collection device in the prior art collects information in a single form, and the data acquired by the sensor needs to be converted through a conversion transmission device, thereby improving data collection efficiency, saving costs, lowering the threshold for using the Internet of Things, and meeting existing data collection needs.

The present invention provides an automatic spore capture and receiving system, which relates to the field of spore capture, and includes: a solar panel assembly; the solar panel assembly is installed above a spore capture device, the bottom of the solar panel assembly is connected to a mobile plate through a bottom plate and a guide rod, and a storage assembly is fixed to the bottom of the mobile plate with a collecting groove at the top. When it rains, rainwater falls on the top of the solar panel assembly, and enters the inside of the mobile plate and the storage assembly, so that the rainwater transfers gravity to the mobile plate, and at the same time compresses the spring, so that the mobile plate automatically adjusts its position, increases the protective blocking area, and prevents rainwater from entering the inside of the spore capture device. After the rain stops, the rainwater evaporates, and the spring pushes the mobile plate to reset, which solves the problem that when it rains, rainwater easily enters the inside of the collection device through the gap, affecting the normal operation of the collection device.

The embodiment of the invention provides a washing machine, a control method and device of the washing machine, equipment and a medium. The front door is arranged at a clothes inlet of the washing machine; the main camera module is arranged on one side, close to the inner cylinder, of the front door; wherein the camera module at least comprises a main camera and a lamp strip, the lamp strip is arranged in the central area of the front door and is annular, and the main camera is arranged in the central area of the lamp strip; the auxiliary camera is arranged at one end, far away from the main camera module, of the front door; and the inner cylinder reflective surface is arranged at the bottom of the inner cylinder and is a fan-shaped reflective surface. The camera can be supplemented with light through the lamp strip arranged around the camera so as to improve the definition of images collected by the camera, the shielding condition of the main camera can be confirmed in time through the auxiliary camera, shielding objects can be processed in time, and the data collection quality and efficiency are improved.