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.

The present invention belongs to the field of knowledge graph technology, and relates to a knowledge graph path reasoning method, system and application based on a distributed database system. The present method is a method for realizing knowledge graph path reasoning based on a GreenPlum distributed database system and a Madlib environment. The present method uses a GreenPlum distributed database system as a storage system for knowledge graph data, and constructs a feature matrix with real physical meaning through text classification, unified similarity relationships, machine learning and logistic regression of graph relationships, thereby realizing parallel search of all paths and reasoning analysis of deep path relationships. As a new knowledge graph path reasoning method compatible with big data and graph computing, the present method can realize reasoning analysis of deep path relationships of knowledge graphs. After verification by a data set, the present method can realize efficient calculation and improve the accuracy of path reasoning.

The invention relates to the technical field of second-hand car information risk management, and discloses a second-hand car information risk assessment system and method based on big data, and the system comprises a second-hand car information collection management module, a second-hand car information grade analysis module, and a second-hand car information risk assessment and push module. Identifying the professional level of the hardware configuration of the second-hand car identification institution by adopting the professional degree parameter of the hardware configuration of the second-hand car identification institution and the professional level parameter corresponding to the professional degree of the hardware configuration of the second-hand car identification institution, and scientifically analyzing the professional level parameter of the hardware configuration of the second-hand car identification institution; and identification mechanism service quality grade identification processing is carried out based on the second-hand vehicle identification mechanism service satisfaction parameters and the second-hand vehicle identification mechanism service satisfaction corresponding service quality grade parameters, and the second-hand vehicle identification mechanism service quality grade parameters are accurately analyzed. Therefore, intelligent evaluation of the hardware configuration level and the authentication service quality level of the second-hand car authentication mechanism is realized.

The invention provides an RV deceleration off-line detection platform which comprises a debugging platform body and a preassembling platform which are arranged on the front side and the rear side of an overturning platform respectively, the debugging platform body comprises a foundation base and a mounting frame, the mounting frame is arranged in the middle of the upper end face of the foundation base, and mounting foot pads are arranged at the four corners of the lower end face of the foundation base. A cavity is formed in the foundation base, a plurality of through grooves are formed in the side end face of the foundation base, a load motor is installed on the left side of the inner cavity of the foundation base and extends out of the left side end face of the foundation base, and a loading shaft lifting device and a load end grating detection device are arranged in the middle of the inner cavity of the foundation base from bottom to top. Tool pressing devices are symmetrically arranged on the left side and the right side of the mounting frame, a cavity is formed in the mounting frame, a balance weight sliding device is mounted in the middle of the upper end face of the mounting frame, a displacement driving device is arranged on the front side of the middle of the top of the mounting frame, and an auxiliary input tooth insertion balance weight is arranged in an inner cavity of the mounting frame.

The invention belongs to the field of water pollution monitoring, and particularly relates to an online measurement method for petroleum in water, which comprises the following steps: step 1, water sampling: a trigger unit transmits the detected fluorescence intensity of the water surface to a control unit, and the control unit controls the water sampling frequency of a sampling pump in the water sampling unit according to the fluorescence intensity detected by the trigger unit; step 2, extraction: sending the water sample extracted by the sampling pump into a sample storage container, and extracting oil substances into an extraction reagent; step 3, separation: conveying into a separation container through a conveying pump; and 4, measuring, namely feeding the extraction reagent into a cuvette of a measuring unit for measuring the content of the oil substances. According to the design, a method of combining water surface early warning measurement and underwater quantitative measurement is adopted, pollution occurrence can be judged in time, and the content of underwater oil substances can be measured online, so that pollution sources can be conveniently fed back and controlled in time, and the timeliness of online water environment monitoring is guaranteed.

The invention discloses a magnetoelectric encoder angle value jump point suppression method based on the SWO principle and a related device, and relates to the field of magnetoelectric encoders. According to the method, the multi-antipode angle values are divided into three intervals, the window width is increased, the front-layer window, the current window and the lower-layer window are set, whether the difference value between every two adjacent angle values of the windows of each layer exceeds the set threshold value or not is judged, if yes, it is proved that the jump point exists, and the jump point can be efficiently locked in the mode; according to the method, the SWO algorithm is further combined, the purpose of efficiently suppressing jump points is achieved, meanwhile, the resolution ratio and the precision of the magnetoelectric encoder are remarkably improved, and the encoder can more accurately record and interpret signals and can provide more reliable and accurate data through the improvement.

The invention provides a method for simultaneously detecting multiple intermediates in a ceftaroline fosamil preparation process. A high performance liquid chromatography is adopted to simultaneously detect a starting raw material-3-hydroxy cephalosporin in a synthesis process and sequentially generated intermediates: CfMs, CT-3, CT-3M, 7-APTM and 7-ATM. The method has the advantages that different analysis methods do not need to be replaced to cope with different samples, the change conditions of the six substances in the reaction process can be displayed on the same atlas, and the method is simple, convenient, accurate, rapid and clear at a glance, and is also greatly helpful for ensuring the quality of a ceftaroline fosamil product and improving the synthesis work efficiency.

The limb measuring assembly comprises a standing plate, the left end and the right end of the bottom of the standing plate are each fixedly provided with an anti-skid pad, the anti-skid pads are symmetrically arranged front and back relative to the vertical central axis of the standing plate, the standing plate is arranged in an L-shaped structure state, and a first measuring plate is rotationally connected to the rear end of the standing plate; the rear end of the first measuring plate is rotatably connected with a first fixing bolt, the first fixing bolt penetrates through the first measuring plate and is fixedly connected with the standing plate, the interior of the first measuring plate is rotatably connected with a threaded rod, a rod body of the threaded rod is slidably connected with a connecting block, and the left end of the front of the first measuring plate is provided with a second measuring plate. According to the limb measurement assembly, measurement can be independently completed through standing of a measured person without assistance of other people, meanwhile, a more stable posture can be provided through standing, more accurate limb data can be obtained, and therefore autonomy and convenience of measurement are enhanced.

The utility model relates to the technical field of liquid crystal screen testing, in particular to a multifunctional liquid crystal screen testing device which comprises a workbench, a fixing seat is fixedly connected to the middle of the upper end of the workbench, a testing table is fixedly connected to the upper end of the fixing seat, and sliding grooves are formed in the front end and the rear end of the testing table. Limiting mechanisms are fixedly connected to the middle of the left end and the middle of the right end of the testing table, a supporting plate is fixedly connected to the rear portion of the upper end of the workbench, an extension plate is fixedly connected to the upper end of the supporting plate, a testing mechanism is fixedly installed at the lower end of the extension plate, and a control panel is arranged at the front end of the workbench. Supporting legs are fixedly connected to the four corners of the lower end of the workbench. According to the multifunctional liquid crystal screen testing device, through the arrangement of the limiting mechanism, unnecessary displacement or shaking of the liquid crystal screen under the action of pressure can be prevented, it is guaranteed that the pressure can be accurately applied, reliable data can be obtained, and the accuracy of a testing result can be improved.

The invention discloses a method for realizing long-distance signal transmission of an absolute value encoder, which comprises the following steps of: 1) installing an SSI + decoder of the absolute type encoder on site, and reading and setting an initial position value of the encoder through upper computer software; 2) connecting to an X5 end of a decoder through a USB (Universal Serial Bus) to 485 line; (3) upper computer software in the computer is opened, a serial port is opened, the current position of the encoder is obtained, and real-time position data of the encoder can be read; (4) after programming is finished, the set initial position value, the single-circle resolution ratio and the number of circles of multiple circles are all stored in the encoder chip until data are changed next time; and (5) an X5 port can be externally connected with an RS485 display instrument and is used for displaying the position data of the current encoder in real time. By means of the absolute encoder SSI and the decoder, the farthest transmission distance can reach 350 m, data are stable and reliable, and linearity is good.

The invention relates to a generator detection device, and the device comprises a rack which is provided with a fixing station for placing a generator; the driving mechanism is mounted on the rack; and the detection element is mounted on the rack through a driving mechanism, and the detection element is arranged above the fixed station in a position adjustable manner. The generator is fixed on the fixed station of the rack, the detection element is installed on the rack through the driving mechanism, and a user does not need to hold the detection element manually. Meanwhile, the driving mechanism can drive the detection element to move according to the position of the rotating shaft so as to adjust the position of a probe of the detection element, so that the probe can be close to the rotating shaft, it is guaranteed that data detected by the detection element is accurate and reliable, and compared with the technical scheme that the position of the detection element is fixed, the position of the detection element can be adjusted at will; the detection device can be suitable for generators of different models, the overall universality is improved, reuse of the detection device is achieved, and the cost is reduced.

A method for measuring the mud content of sand used in concrete based on methylene blue value parameters and sand application, the steps are: the mud content of the sand to be measured α=, MB D Set to the MB value of the sand to be tested, MB B Set to the MB value of standard sand, MB J The MB value of the reference sand is set. The mud content has a significant effect on the fluidity of the mortar. The application calculates the mud content of the sand to be tested through the MB values ​​of the sand to be tested, the standard sand and the reference sand, and then makes a quantitative judgment on whether the mud content of the sand to be tested is qualified. A general method for judging the qualification of the mud content of sand is proposed, which can be used for both river sand and artificial sand. The data is intuitive and reliable, and the method is simple to operate. It can play an important guiding role in the application of the sand to be tested in precast concrete.

The invention discloses a smart park articulated naturality web node data distributed storage system, and relates to the technical field of smart park data storage. Comprising a data acquisition layer, a distributed storage node cluster, a metadata management module, an intelligent scheduling module, a data security guarantee module, a data verification module, a data adjustment module and an application interface layer, and all the modules cooperate to realize efficient storage, quality control and management of articulated naturality web node data. Aiming at a smart park articulated naturality web data storage pain point, efficient storage and management and control are realized through multi-module cooperation, a distributed architecture, mixed storage and intelligent scheduling are adopted, the storage efficiency and the resource utilization rate are improved, multi-copy backup, cross-physical deployment and automatic fault repair are realized, data reliability is guaranteed, and the system is suitable for large-scale popularization and application. The method comprises the steps of full-process encryption, authority control and multi-dimensional verification, building of a data security defense line, data dynamic optimization and standardization of an interface, enhancement of data availability and system compatibility, and adaptation to the dynamic increase demand of park data.

This invention relates to the field of lithium-ion battery cathode material testing technology, specifically to a method for determining the manganese leaching amount of lithium manganese iron phosphate (LFP) materials. The method includes: extracting a LFP sample in a weakly acidic buffer solution simulating the battery's operating environment; separating the solid and liquid phases to obtain the test solution; and simultaneously performing a blank test; transferring the test solution; adding a buffer solution capable of selectively complexing manganese ions and eliminating iron ion interference to adjust the pH value of the system; using a platinum electrode as the indicator electrode and a saturated calomel electrode as the reference electrode; and performing potentiometric titration using a redox standard titration solution; determining the titration endpoint based on the potential jump; and recording the titration volume; and calculating the manganese leaching amount based on the titration volume, the blank test value, and the sample mass. This invention achieves selective and high-precision determination of manganese leaching; the method requires no expensive instruments, is low-cost, and has good reproducibility, making it suitable for the research and development and production quality control of LFP materials.

The invention discloses a large-pipe-diameter water conveying pipeline dislocation deformation monitoring structure and monitoring method, and belongs to the technical field of deformation measurement of water conveying pipelines in water conservancy and hydropower engineering. The structure comprises a pipeline A, a pipeline B, a two-way dip angle detection mechanism, a displacement detection mechanism and a data collecting and processing mechanism, one end of the pipeline B is connected with one end of the pipeline A through an expansion joint, and the two-way dip angle detection mechanism and the displacement detection mechanism are both connected with the pipeline A and the pipeline B; the bidirectional inclination angle detection mechanism and the displacement detection mechanism both stride across the expansion joint, and the data acquisition and processing mechanism is electrically connected with the bidirectional inclination angle detection mechanism and the displacement detection mechanism. High-precision automatic monitoring of vertical dislocation deformation delta H and horizontal dislocation deformation delta S of the water conveying pipeline is achieved, the dislocation deformation problem of the water conveying pipeline is found and handled in time, manual intervention is reduced, working efficiency is improved, safety accidents caused by dislocation deformation of the pipeline are effectively avoided, and long-term operation safety of the water conveying pipeline is guaranteed.

The invention discloses a method for measuring the mechanical property of a resistance spot welding heat affected zone, and relates to the technical field of welding detection.The method comprises the steps that a welding nugget and a sample structure with the heat affected zone partially exposed are prepared, the sample structure comprises a welding spot, and the welding spot comprises the welding nugget and the heat affected zone surrounding the welding nugget; according to the hardness information corresponding to the position points on the sample structure, a hardness distribution diagram of the sample structure with the weld nugget as the center is established, position information of a heat affected zone is determined according to the hardness distribution diagram, speckle spraying is conducted on the position corresponding to the sample structure according to the position information of the heat affected zone, and a uniaxial stretching acting force is applied to the sample structure; a load time curve of the sample structure and a target strain time curve of the heat affected zone are obtained, a stress-strain curve of the heat affected zone is obtained according to the load time curve and the target strain time curve, and the stress-strain curve is used for determining material mechanical property parameters of the heat affected zone. And the precision and reliability of the mechanical property parameters of the welding spot heat affected zone material are effectively improved.

The present invention provides an online monitoring device and method for the dust accumulation thickness at the bottom of a horizontal flue, comprising a measuring plate and a reference plate with the same size and heating power, which are respectively installed horizontally at the centroid of the lower wall and the upper wall of the horizontal flue; the measuring plate includes a measuring plate temperature sensor, a measuring plate heater, a measuring plate heat insulation board, a measuring plate compensation heater and a measuring plate compensation temperature sensor from top to bottom; the reference plate includes a reference plate temperature sensor, a reference plate heater, a reference plate heat insulation board, a reference plate compensation heater and a reference plate compensation temperature sensor from bottom to top; each temperature sensor is connected to a signal acquisition controller. The system structure of the present invention is simple, the algorithm is simple, and the measurement result can intuitively reflect the dust accumulation thickness at the bottom of the channel. The method based on the temperature difference of the measuring plate eliminates the influence of environmental conditions and airflow temperature, and because the temperature data within a time window is used, the influence caused by random temperature measurement errors is avoided, and the data is more stable and reliable.