179results about How to "Reliable data" patented technology

The invention relates to the technical field of radar remote sensing image processing, in particular to a single-polarization synthetic aperture radar change detection method and device.The method comprises the steps that initial single-polarization SAR images of front and back time phases are preprocessed to obtain a final image, a multi-scale feature difference chart is calculated, pseudo tags are generated through fuzzy C-means clustering, and the final image is obtained; a UNet coding and decoding structure is used as a basic framework, a double-branch convolutional neural network structure is designed, an input layer, a convolutional layer, a pooling layer, a full connection layer and an output layer are adopted to form a twin convolutional neural network, residual connection is established between an input tensor and an output tensor after network processing, a change detection model is generated, and a change detection result is obtained. And outputting a detection result of the single-polarization synthetic aperture radar by using the change detection model. Therefore, the problems of low accuracy of a change monitoring result and the like caused by the defects that the processing capacity of speckle noise in an SAR image monitoring method is limited and a static threshold segmentation method is difficult to adapt to the global situation in the prior art are solved.

The invention discloses an atmospheric particulate collection device in the technical field of atmospheric particulate collection, the atmospheric particulate collection device comprises a pressure regulating pipe and a sliding sleeve slidably connected to the inner wall of the pressure regulating pipe, the inner wall of the sliding sleeve is provided with at least four exhaust sleeves in a communicating manner, the two sides of each exhaust sleeve are respectively provided with a plurality of lateral holes, and the lateral holes are communicated with the pressure regulating pipe. According to the atmospheric particulate matter collecting device, through the design of the pressure regulating mechanism, particulate matter collecting and detecting can be conducted under different air pressure conditions, the sliding sleeve and the exhaust sleeve in the device move through the top rods, and therefore the atmospheric particulate matter collecting device can be used for collecting and detecting particulate matter under different air pressure conditions. According to the device, different numbers of lateral holes can be closed or opened, so that the air outlet resistance is changed, the device can adapt to various air pressure conditions through the design, and the detection flexibility and accuracy are improved.

The invention relates to the field of data processing, in particular to a hydraulic valve operation state monitoring method and system, and the method comprises the steps: sorting the flow data of a hydraulic valve collected within a set time according to a time sequence to obtain a data sequence; calculating a noise influence coefficient of each flow in the data sequence; obtaining an adjustment weight of each flow according to the noise influence coefficient; and filtering and denoising the data sequence by using the weight corresponding to each flow to obtain an optimized data sequence, and monitoring the operation state of the hydraulic valve based on the optimized data sequence. The improved filtering algorithm is used for filtering the data sequence, the filtering accuracy and efficiency are improved, the operation state of the hydraulic valve is monitored based on the optimized data sequence, and due to the fact that data are more accurate and reliable, the actual working condition of the hydraulic valve can be reflected more accurately.

The invention provides a rapid in-situ monitoring system for VOCs pollution in underground water and soil gas of a polluted site, and belongs to the technical field of environment monitoring. Comprising a first collection module for collecting VOCs samples in underground water, a second collection module for collecting VOCs samples in soil gas, a collection module connected with the first collection module and the second collection module, an analysis monitoring module connected with the collection module, and a central processing module. VOCs samples in underground water are collected through the first collection module, VOCs samples in soil gas are collected through the second collection module, the collected VOCs samples are collected and stored through the collection module, the concentration and components of the VOCs samples in the collection module are monitored through the analysis monitoring module, and the whole system is arranged near a polluted site. And rapid in-situ monitoring of VOCs pollution in underground water and soil gas of a polluted site can be realized.

The invention belongs to the field of dynamic corrosion of metal materials, and discloses a dynamic corrosion test device and method. The device comprises power supply equipment, a heating furnace and a corrosive medium container, the power supply equipment is arranged outside the heating furnace; the corrosive medium container is arranged in the heating furnace; the heating furnace is provided with temperature control equipment; the temperature control equipment is used for dynamically stabilizing the temperature of the molten corrosion medium arranged in the corrosion medium container, the temperature of the alloy sample arranged in the corrosion medium container and connected with the positive electrode of the power supply equipment and the temperature of the alloy sample arranged in the corrosion medium container and connected with the negative electrode of the power supply equipment. According to the invention, the dynamic corrosion test of the metal material in different current densities, temperatures and corrosion media in a wide temperature range can be realized.

The invention relates to the technical field of safety monitoring and health management in the service period of a diversion tunnel in water conservancy and hydropower engineering, in particular to a diversion tunnel inner surface acoustic echo point extraction method which comprises the following steps: (1) an omnidirectional sonar actively emits sound waves to irradiate the inner surface of the tunnel, and meanwhile, periodic sampling is performed to form a series of discrete echo data points; (2) filtering direct waves, multipath echoes and noise data points in the discrete echo data points, and reserving actual echo data points on the inner surface of the tunnel; (3) one frame of data in the actual echo data points is used as a processing unit, and the intensity value change rate R between the adjacent data points is calculated one by one; (4) distance information and intensity information represented by acoustic echo points on the inner surface of the diversion tunnel should be optimal values, the acoustic echo points should be distributed at positions with large reflection echo intensity values and dense reflection echo intensity values in a short-distance spherical wave propagation mode, and the distance and intensity information is considered as a whole; the next data point with the maximum intensity value change rate between the adjacent data points is taken as an acoustic echo point P of the current frame data; (5) acoustic echo point extraction is carried out on the discrete echo data points of the next frame according to the steps (3) and (4) until acoustic echo points of all data frames are extracted and stored; according to the method, the problem of multiple data points formed by echo periodic sampling can be effectively solved, tunnel inner surface acoustic echo points giving consideration to strength information and position information are extracted, and reliable data support is provided for reconstruction and disease detection and recognition of the diversion tunnel inner surface.

The invention provides an unmanned aerial vehicle-mounted holographic cloud droplet spectrometer which is characterized in that the cross section of the unmanned aerial vehicle-mounted holographic cloud droplet spectrometer is an elliptical shell, a first supporting arm and a second supporting arm which are oppositely arranged are fixed on the top end face of the shell, and an airborne fixing seat is arranged on one side face of an elliptical short axis perpendicular to the cross section of the shell; a first protective cover and a second protective cover are arranged on the opposite inner sides, away from the free ends of the shell, of the first supporting arm and the second supporting arm correspondingly. A first 45-degree reflective mirror is arranged at the joint of the first protective cover and the first supporting arm; a second 45-degree reflective mirror is arranged at the joint of the second protective cover and the second supporting arm; window glass and electric heating rings are arranged at light inlets of the first protective cover and the second protective cover; a lens is arranged in the first protective cover; a laser assembly is arranged in the second supporting arm; a camera is arranged in the first supporting arm. The device has the advantages of small wind resistance, few caused particle breakage phenomena, high precision, reliable data, simple structure and convenience in assembly, disassembly and maintenance.

The invention discloses a high-efficiency solid state disk master control chip, which relates to the technical field of solid state disk master control chips, and comprises a central processing unit and a flash memory controller, the flash memory controller comprises a communication module, a flash memory control circuit and a comparison circuit; in the invention, in performance, data bus and instruction processing are optimized, read-write is accelerated, delay is reduced, and high-speed storage requirements are met; in the aspect of data, the flash memory control circuit accurately reads and writes, the comparison circuit corrects errors in real time, data reliability is guaranteed, and the problem of flash memory management is avoided; during bad block detection, factory leaving and newly-added bad blocks are accurately judged by means of multiple means such as specific verification data after all pieces are erased, and the central processing unit intelligently judges, saves time and improves efficiency; in hardware collaboration, a data selector intelligently switches paths, static random access and a memory guarantee data stability, a main state machine accurately controls a time sequence, stability is enhanced, and a high-quality storage scheme is provided for the solid state disk.

The utility model discloses a liquid cooling clamp, and relates to the technical field of battery cell testing. The liquid cooling clamp comprises two clamping plates, a connecting assembly and a fixing assembly, the two clamping plates are arranged in a spaced mode to clamp a battery cell, each clamping plate is provided with a liquid cooling channel, and the two ends of each liquid cooling channel form openings in the surfaces of the clamping plates; the connecting assembly is communicated with the liquid cooling channels of the two clamping plates; the fixing assembly is configured to fix the two clamping plates. The liquid cooling clamp can effectively control the temperature of the battery cell, more accurate and credible data can be obtained, and the risk of high-temperature thermal runaway of the battery cell is reduced to a great extent.

The invention discloses a drilling machine drill bit position correction method based on a laser tracker. The drilling machine drill bit position correction method comprises the steps that firstly, a detection system is built; step 2, correcting the spatial position of a drill bit: step 2.1, correcting the indexing of a drilling machine; 2.2, a drilling machine shaft is determined; step 2.3, equally dividing the root of the blade into a plurality of measurement areas, and selecting some preset hole sites in each measurement area; 2.4, axial drill bit axis correction and radial drill bit axis correction are sequentially carried out on each selected preset hole position; step 2.5, correcting the planeness of the root of the blade; 2.6, preset hole site correction is carried out; and step 2.7, correcting the surface deviation of the axial drill bit and the radial drill bit corresponding to each preset hole site. Therefore, it can be ensured that the axial bolt hole and the radial bolt hole formed by drilling in the blade root position of the wind power blade are matched with the theoretical bolt hole of the blade, and the drilling forming quality and precision are improved.

The invention discloses a sewage plant intelligent sludge discharge and dehydration dosing control system based on big data analysis. Comprising a big data analysis control platform which is connected with each water quality and quantity monitoring facility, each sludge pump, each sludge flow meter, each microwave method sludge concentration meter, the dehydration equipment, the dosing pump and the dosing flow meter through communication cables; and the big data analysis control platform analyzes and calculates the data obtained from the communication cable and then controls the data. By establishing a big data analysis control platform of sewage plant mechanism and data fusion, the sludge discharge concentration and the sludge dewatering dosage are accurately and dynamically controlled from the whole of sludge discharge, dewatering and dosing, the operation load and dosage of dewatering equipment are reduced, and the intelligent low-carbon operation effect is achieved.

The invention discloses a high-performance cast cold roll evaluation method based on stress of a working layer and a bonding layer, and belongs to the technical field of metallurgical mechanical equipment design and life evaluation, and the method comprises the following steps: calculating the maximum contact pressure between a working roll and a supporting roll and the flattening width of a contact surface; further determining the maximum shear stress in the working roll and the depth position corresponding to the shear stress; according to radius changes of the working roller in different wear stages, the maximum contact pressure and the contact surface flattening width in different wear stages are calculated for multiple times, and then normal stress at the position of a bonding layer in each stage and shear stress derived from the normal stress are calculated; performing simulation verification on calculation data based on a stress field of finite element simulation; comparing the shear stress of the bonding layer obtained after calculation with the total stress level after the residual stress is considered, and the allowable shear stress of the same material; and the risk is judged. The service life of the roller can be prolonged, and the equipment loss cost of cold-rolled strip steel production is reduced.

This invention provides an intelligent front-end data acquisition system for boilers, comprising: a detection module, a data acquisition module, and a monitoring module; the detection module is used to acquire unit temperature data; the data acquisition module is a YS-24D data acquisition box, which is used to acquire data from the detection module. This invention provides an intelligent front-end data acquisition system and device for boilers, wherein the data acquisition module uses the YS-24D data acquisition box to acquire data from the detection module at unit temperature measurement points. The YS-24D data acquisition box is high-performance and highly reliable, with a hardware design employing a 32-bit low-power ARM processor, high integration, few peripheral components, high reliability, fast processing speed, high resolution, and reliable and accurate data. It uses a high-performance, high-precision 24-bit A / D converter, with all 24 channels being independent fully differential input loops, providing high resolution, low drift, and high stability.