460results about How to "Avoid the influence of human factors" patented technology

The invention discloses a method and device for identifying the model of a mobile phone. The method for identifying the model of the mobile phone comprises the steps of building a database containing various samples in advance, taking a picture of the mobile phone to be identified, extracting feature information from the picture, comparing the feature information with the samples in the database, and determining the model of the mobile phone to be identified according to the model of the sample which is the most similar to the mobile phone. A user does not need to participate in the process, the process is automatically accomplished, influence of human factors is avoided, the samples with the known models are used as comparison objects, comparison of various features is carried out, the similarity serves as the standard, the obtained result is high in accuracy, and correct identification of the model of the mobile phone can be facilitated.

The invention discloses a system for detecting a sea target by a chaos optimizing radar, comprising a radar, a database and an upper computer, wherein the radar, the database and the upper computer are successively connected; the radar irradiates a detected sea area; radar sea clutter data are stored in the database; the upper computer comprises a data preprocessing module, a modeling module of a forecast model, a chaos optimization module, a sea clutter forecast model, a discriminative model updating module and a result displaying module. The invention also provides a method for detecting a sea target by a chaos optimizing radar. The invention provides the system and the method for detecting a sea target by a chaos optimizing radar, which have high precision and avoid the influence of the manual factor.

The invention discloses a system for measuring an inner diameter of a tubular workpiece. The system comprises a crawling transportation positioning sub-system, a data acquisition and control sub-system and a data processing sub-system, wherein when the inner diameter of a measured tubular workpiece is required to be measured, the crawling transportation positioning sub-system crawls in a pipeline of the measured tubular workpiece under the control of the data acquisition and control sub-system, and acquires measurement data of a pipeline section corresponding to a position to be measured when crawling to every position to be measured; the data acquisition and control sub-system acquires the measurement data which is acquired by the crawling transportation positioning sub-system and sends the measurement data to the data processing sub-system; and the data processing sub-system generates a required measurement result according to the received measurement data. By the adoption of the system for measuring the inner diameter of the tubular workpiece, the accuracy of a measurement result is improved, and the measurement efficiency can be improved.

The invention discloses an adaptive spatial clustering method, comprising the following steps of: (1) preprocessing spatial data and selecting features; (2) creating a Delaunay triangulation network according to spatial attribute; (3) performing clustering analysis operations according to the spatial attribute; (4) turning to a step (5) if a spatial solid obstacle is needed to be further considered, and turning to a step (6) if a thematic attribute is needed to be considered, otherwise, ending the spatial clustering operations; (5) introducing a spatial obstacle layer, performing overlap analysis on the spatial obstacle and the side length of the Delaunay triangulation network between the entities in each spatial cluster, and breaking the side length if the spatial obstacle is intersected with the side length; (6) performing the thematic attribute clustering by an improved density-based spatial clustering method; (7) visualizing the clustering result, and outputting the clustering result. The adaptive spatial clustering method is simple and convenient to operate, high in degree of automation, high in calculation efficiency, perfect in functions, strong in applicability and the like, and can effectively improve capability of spatial clustering analysis to excavate deep-seated geoscience rules.

The invention provides a crystal direction finder for directly measuring deflecting angle in crystal orientation, which is characterized in that one side of an objective table is connected with an X-ray generator, and the other side is connected with an X-ray detector, and an objective table is provided with a horizontal revolving bench, and the horizontal revolving stage can revolve a crystal to be measured parallely to the light propagation surface, and the center of the horizontal revolving bench is fixed with a vertical revolving stage, and the vertical revolving stage can revolve the crystal to be measured on the plane which is perpendicular to the light propagation surface; the crystal direction finder is used for directly finding the intersection line of the machined surface and the crystal face, and an angle measuring instrument of the objective table can be used for directly reading the deflecting angle beta in crystal orientation. The invention overcomes the defects that the present X-ray crystal direction finder has a complex operating method, wherein, the measurement process needs multiple times of rotations, dismountings and fixations of the detected crystal with low measurement efficiency, which is easy to induce cumulative errors and X-ray leakage.

The invention relates to a button cell production line, being characterized in comprising a rack component, a lithium chip loading mechanism, a paper cutting mechanism, a filling mechanism, a manganese chip loading mechanism, an anode case loading mechanism, a sealing mechanism, a main transmission mechanism, a pneumatic control system and an electrical apparatus control system as well as a control program; the rack component comprises a large worktable and a rack fastened on the lower surface of the large worktable, a lower base plate of the rack is arranged on a lower beam of the rack, a control cabinet is arranged on the upper part of the lower base plate of the rack; the lithium chip loading mechanism, the main transmission mechanism, the paper cutting mechanism, the filling mechanism, the manganese chip loading mechanism, the anode case loading mechanism and the sealing mechanism are arranged on the large worktable in turn; the pneumatic control system is arranged on the lower base plate of the rack; the electrical apparatus control system and the control program are arranged inside the control cabinet; a touch screen support is vertically arranged on the upper surface of the large worktable close to one end of the lithium chip loading mechanism.

The invention discloses an intelligent roadbed and pavement roller compaction system which comprises a quality detection system, an intelligent decision making system, an unmanned roller compaction system and a remote monitoring center. The quality detection system is used for detecting the compaction quality of various filled layers of roadbeds and pavements; compaction quality data can be analyzed by the intelligent decision making system, and roller compaction construction parameters of next procedures or new roller compaction construction regions can be obtained by the intelligent decisionmaking system; the unmanned roller compaction system can be combined with a single unmanned roller compaction machine or a group of unmanned roller compaction machines according to the roller compaction construction parameters, so that construction operation can be synergistically accomplished; real-time communication service, operation region planning, navigation routes and group scheduling service can be provided by the remote monitoring center, field operation conditions can be displayed by the remote monitoring center, and operation data can be stored by the remote monitoring center. Theintelligent roadbed and pavement roller compaction system has the advantages that the compaction quality of the different filled layers and different filling materials of the roadbed and the pavementscan be detected by the intelligent roadbed and pavement roller compaction system in an online manner, roller compaction construction operation can be controlled by means of machine decision making, accordingly, influence of human factors can be prevented, detection, analysis, decision making and control cycle can be implemented in a closed-loop manner, and the intelligent roadbed and pavement roller compaction system is particularly applicable to all-weather roadbed and pavement roller compaction construction operation scenes in hazardous regions or under extreme conditions.

The invention discloses an intelligent system for forecasting robust radar sea clutter, comprising a radar, a database and an upper computer, wherein the radar, the database and the upper computer are successively connected; the radar irradiates a detected sea area; radar sea clutter data are stored in the database; the upper computer comprises a data preprocessing module, a modeling module of a robust forecast model, an improved intelligent optimization module, a sea clutter forecast model, a discriminative model updating module and a result displaying module. The invention also provides an intelligent method for forecasting the robust radar sea clutter. The invention provides the intelligent method and system for forecasting the robust radar sea clutter, which have good robustness and avoid the influence of the manual factor.

The invention belongs to the technical field of wind power equipment detection and relates to an autonomous unmanned aerial vehicle fan blade polling system and method. The autonomous unmanned aerial vehicle fan blade polling system comprises an unmanned aerial vehicle used for carrying out automatic polling on fan blades, a polling vehicle used for stopping and placing the unmanned aerial vehicle, a ground station used for receiving and processing image data sent by the unmanned aerial vehicle to control the unmanned aerial vehicle and a specialist terminal used for judging and analyzing the image data of the ground station. The autonomous unmanned aerial vehicle fan blade polling method comprises the following steps: starting polling; positioning; finding a fan nose by the unmanned aerial vehicle after taking off; processing image data, and judging whether the fan nose is found or not; starting an automatic polling mode; shooting fan blades by the unmanned aerial vehicle flying along the edges of the fan blades, and transmitting blade image data to the ground station; determining whether the fan blades are in fault or not by a maintainer, transmitting the fan blades which can not be determined to the specialist terminal, and judging and analyzing by the specialist terminal; and finishing the polling. The autonomous unmanned aerial vehicle fan blade polling system and method have the advantages that on-the-spot control of the maintainer is not required, a vehicle collision accident can be avoided, manpower resource is saved and popularization and application are easy.

The invention provides a megawatt wind power generation adjustable blade bearing friction moment numerical control testing machine and a testing method. The tested bearing outer ring is fixed on the machine rack; a main axis is equipped, one end of the bearing inner ring is fixed on the bearing inner ring, the other end is equipped with a radial and axial loading mechanism, in which the radial and axial load cylinder are separately pressured, and is equipped with variable-frequency motor of torque sensor, the driving pinion is meshed with the tested bearing inner ring, which form the loading and transmission system. The testing machine is determined by force analysis and analog loading principle, which is reasonable and reliable, and has simple structure and small size. The closed-loop numerical control system, which is composed of an industrial computer, a hydraulic pressure control member, a hydro cylinder, a feedback element and other components, can realize overall monitor, data collection, analysis, process, and number and graph double output; the size, direction, variation period of the load are accurate, the curves of the load output and friction torque are intuitive, the testing process is highly automatic. And the invention can be matched with manual adjustment. The machine is shutdown automatically if any failure happens. The test provides data support for the bearing wind turbines, which assures that the machine can meet the test need after loading.

The invention provides a method and device for analyzing online oil chromatogram fault in real time, which comprises the following steps of: acquiring oil chromatogram data in real time; if the quantity of oil chromatogram gas components in the acquired data is beyond a preset warning value, giving an early warning; performing three-ratio-method analysis to the early warned oil chromatogram gas component data, and detecting equipment fault; and generating a quick report of exception situation of a gas-in-oil online monitoring system in real time for the equipment with the fault. The method and the device provided by the invention can perform analytic statistics quickly and effectively by unified standards without lots of manual operations, so that unnecessary human factor influence is avoided, thereby being capable of guaranteeing timeliness and accuracy of analytic statistics results in handling large amounts of online monitoring data.

The on-line weighing and compounding method based on material feeding speed control is one kind of automatically controlled stepless speed regulating material compounding method for in-situ production, and can realize high precision weighing of complicated materials and improve production process control. The on-line weighing and compounding method determines the material feeding speed V through determining speed decrease index alpha and initial material feeding speed V0, and determines the material accumulation W through combining with the speed converting time t, so as to set and control the change of the material feeding speed V based on known weighed material Wall, control the weighing time T, and ensure the real-time weighed material W reaching to the known weighed material Wall at most.

The invention relates to the technical field of computers, in particular to an integrated circuit repair algorithm determination method and device, a storage medium and electronic equipment. The method comprises the steps of obtaining failure test unit data of a to-be-repaired integrated circuit; acquiring a failure unit distribution type of the to-be-repaired integrated circuit according to the failure test unit data in combination with a type analysis model constructed by a deep learning network; According to the failure unit distribution type, obtaining a repair performance index of each candidate repair algorithm for the failure unit distribution type in a repair algorithm library, and determining the candidate repair algorithm with the optimal repair performance index as a target repair algorithm. According to the invention, the repair of each to-be-repaired integrated circuit can reach the highest repair rate, the minimum use number of the repair circuits, the shortest repair analysis time and the like, the repair efficiency and accuracy are improved, and the repair cost is reduced.

The invention discloses an electric energy quality analyzer based on Hilbert-Huang transform, which comprises an electric energy quality actual measurement data acquisition part and an electric energy quality analysis part. The electric energy quality actual measurement data acquisition part can be used for realizing the acquisition of electric energy quality data and is mainly used for conditioning signals and acquiring data; and the electric energy quality analysis part can be used for realizing the detection of transient disturbance characteristic of electric energy quality and the analysis of harmonics by using the Hilbert-Huang transform as a core algorithm. According to the electric energy quality analyzer disclosed by the invention, a method for automatically configuring a superposed high-frequency strong signal during mode mixing for improving the transient oscillation analysis as well as a self-adaptive design scheme of a filter during mode mixing for improving the harmonic analysis are established. The analyzer can be used for realizing the theoretical research on a power system together with a PSCAD / EMTDC ((Power System Computer Aided Design / Electro Magnetic TransientsIncluding DC) under a simulation analysis mode, realizing the quality detection for electric energy of a power grid together with an actual measurement data interface in an actual measurement analysis mode as well as analyzing the actual operation condition of the power system.

The invention relates to a microalgae activity detection method and a device in ship ballast water. The device comprises a platform, a micro fluid chip, a driving assembly, an optical excitation assembly, an optical detection assembly and a data processing assembly, wherein the platform is of a darkroom structure; and the optical detection assembly is connected with the platform, the micro fluid chip and the optical detection assembly are fixed in the platform, the driving assembly is connected with the micro fluid chip, and the optical detection assembly is connected with the data processing assembly. The microalgae activity detection method and the device provided by the invention have the beneficial effects that the structure is simple, the carry is convenient, and the detection method is simple and scientific.

The invention provides an expert system for designing a wind power station and belongs to the technical field of designing of the expert system. The system comprises an existing wind power station construction wind-measuring tower data module, an existing wind power station construction meteorological station data module, a new construction initial input data module, a wind resource analysis module, a wind power set data module and a wind power set type-selecting module, wherein the new construction initial input data module is used for inputting new wind power station construction initial data; the wind resource analysis module generates a wind resource analysis graph by using the initial data provided by the new construction initial input data module and in reference to the relevant data, which is provided by the existing wind power station construction wind-measuring tower data module and the existing wind power station construction meteorological station data module, of a plurality of existing wind power stations which are adjacent to a new wind power station; the wind power set data module is used for establishing a wind power set data table; and the wind power set type-selecting module recommends the optimal type and distribution of a wind power set according to wind resource data obtained by the wind resource analysis module and according to wind power set data providedby the wind power set data module. The system solves the technical problem that the wind power stations cannot be reasonably and accurately designed.

The invention discloses a COB (chip on board) optical component automatic testing sorting machine, comprising a cabinet, a conveyor belt, a PLC (programmable logic controller) control system, an image system, a constant-current constant-voltage source system, a spectral analysis system, a data analysis system, as well as a feeding mechanism, a testing mechanism, a discharging mechanism, a classifying and receiving mechanism and a turnplate mechanism which are respectively arranged on the cabinet. The function of the automatic testing sorting machine is to realize auto-feeding and auto-discharging, the parameters such as the wavelength, the voltage drop, the luminous flux and the chromaticity coordinates of the COB optical component can be automatically tested online by sampling the light diffusely reflected through an integrating sphere by controlling the constant-current constant-voltage source system, lighting the COB component, and starting the spectral analysis system, and the automatic classification can be realized in combination with the PLC control system, and a subsequent package mechanism can perform the classified package conveniently; the testing and the sorting of the whole COB optical component are automatically performed, the production efficiency is high, the influence from a plurality of human factor is avoided, the detection precision is high, the labor can be substituted, the labor intensity is reduced, and the labor cost is reduced.

The invention discloses an information recommendation method and system for assisting senior high school students to choose college majors. The information recommendation method comprises collecting personal data of every student in a preset test sample group through a preset test library; performing comparison on the personal data and scoring criteria of the preset test library to obtain the original test score of every student; performing mathematical statistics on the original test scores of the students in the test sample group and converting the original test score of every student into an export score which is used for reflecting the level of the student in the test sample group; searching a career test norm which is established in advance according to the export scores and finding out the personal characteristic information and the professional recommendation information which are corresponding to every student. According to the information recommendation method and system for assisting the senior high school students to choose the college majors, the major suitable for every student can be accurately and scientifically matched according to interests and hobbies, personality characteristics, professional potential and professional tendency of the student so as to provide the reasonable major recommendation for the student and avoid the influence of artificial factors.

The invention relates to a rapid detection system and method for the comprehensive performance of a cylindrical lithium ion battery. The detection system comprises an automatic rejection mechanism, a monitoring terminal and any two or more selected from a height detection unit, an anode and cathode end surface appearance defect detection unit, a cylindrical surface appearance defect detection unit, an electrical performance detection unit and a liquid leakage detection unit, the detection units are connected successively, and the detection unit and the automatic rejection mechanism are connected with the monitoring terminal. The detection method comprises that the battery to be detected is driven by a conveyer belt to move to different detection units, the detection unit transmits a detection value to the monitoring terminal, and the monitoring terminal analyzes and processes the detection value to determine whether the battery is qualified; if the battery is qualified, the battery is moved to the next detection unit; and if the battery is not qualified, the automatic rejection mechanism is started, and rejects the unqualified battery to a collection warehouse. Thus, different indexes of the battery can be detected automatically, time and labor are saved, the detection reliability is improved, and the detection units can be combined freely so that use is flexible.

The invention relates to a mobile phone short message vehicle failure remote diagnosis detection method and device. The method comprises the following steps of: obtaining the operation state code of a vehicle from an electric control system of the vehicle to be detected; judging the vehicle operation conditions including the vehicle failure according to the operation state code; and sending the information capable of reflecting the vehicle operation conditions to a mobile phone in the form of short message. The device comprises a CPU (central processing unit) main circuit, a storage module, a GSM (global system for mobile communication) module and a communication module, wherein the CPU main circuit can decode the vehicle operation state code and control and coordinate the work of other modules; the storage module is connected with the CPU main circuit and used for storing a standard failure code library; the GSM module is in remote communication with the mobile phone terminal; and the communication module is used for communicating with the electric control system of the vehicle. According to the invention, remote vehicle diagnosis can be realized, the vehicle failure diagnosis efficiency and accuracy can be improved, and the specific failure information can be displayed visually.

The lift running safety estimating system includes several data acquiring front terminals for multiple-point monitoring of several lifts and connected via wired and radio telephone network and access units to data server, several user terminals connected to the data server via the user managing server for data sharing and connected to wired and radio telephone network for connection with the data acquiring front terminals to complete the real-time data acquisition. The present invention can realize the real-time monitoring and fault record of the running lifts for data estimation.

The present invention relates to a metal corrosion speed measurer adopting the alternating current resistance probe and the measuring method thereof, the metal corrosion speed measurer comprises a resistor probe and a collecting device, the resistor probe comprises the following components: a corrosion coupon; a compensating coupon and a probe rod; the collecting device comprises the following components: a casing and a base frame which are sealed and conjunct; a detecting circuit which is arranged in the enclosed space formed by the casing and the base frame; a probe interface which is connected with the detecting circuit; and a communication interface which executes communication connection to the upper machine. The method of the invention comprises the following steps: simultaneously arranging the corrosion coupon and the compensating coupon into the testing medium with same temperature; exerting a same alternating current actuating signal to the corrosion coupon and the compensating coupon; obtaining the actuating response signal at the two ends of the compensating coupon and calculating the attenuated amount of the corrosion coupon, and calculating out the corrosion rate of the metal according to the attenuated amount. The invention has the advantages of small measuring error, high sensitivity, strong anti-interference ability, broad application sphere, and being able to realize the remote on-line measurement.

The invention discloses a railroad sleeper detection system. The railroad sleeper detection system comprises a railroad sleeper detection data acquisition device and a data processing system. The railroad sleeper detection data acquisition device comprises a force exerting device, a pressure sensor (3), a displacement sensor (4) and a multi-channel data acquisition instrument (5). The pressure sensor (3) and the displacement sensor (4) conduct sleeper pressure measurement and sleeper displacement measurement and are connected with the multi-channel data acquisition instrument (5) through cables respectively. The multi-channel data acquisition instrument (5) is further connected with the data processing system. The data processing system comprises a digital processing device (61), a load displacement analyzing and processing module and a data output device. The load displacement analyzing and processing module is arranged in the data processing device (61). The railroad sleeper detection system can detect the load displacement of a rail and is high in detection speed, high in precision, high in stability, less in error, little in manual work, high in efficiency, safe and reliable.

The invention discloses an automatic testing system for a power supply. The automatic testing system comprises the power supply to be tested, a power supply switching module, a testing instrument device module, an automatic testing module, a monitoring module for the power supply to be tested, a testing device and upper computer software. The upper computer software generates corresponding testing data through compiling of a testing script, after receiving the testing data, the automatic testing device converts the testing data into corresponding interface data, and the whole automatic testing system is controlled to finish the testing process through sending of the interface data. The testing process includes the steps that the testing device is used for testing the power supply to be tested according to the interface data, the monitoring module for the power supply to be tested controlled to monitor the testing process of the testing device according to the interface data, the data in the testing process are recorded, the upper computer software receives the data recorded by the monitoring module through the monitoring module for the power supply to be tested, the recorded data are analyzed and compared after being received, and a testing conclusion is obtained. The whole testing process of the power supply can be rapidly, efficiently and automatically completed.

The invention aims to provide a loading machine unloading parameter testing device and method. The loading machine unloading parameter testing device comprises a power source, a transmission system, a base board, a longitudinal sliding rail, a sliding movable workbench and a distance-measuring sensor. The sliding movable workbench is arranged on the longitudinal sliding rail through a sliding block and can carry out linear motion on the longitudinal sliding rail. The sliding movable workbench comprises a support arranged on the workbench, and the distance-measuring sensor is arranged on the support vertically. According to the loading machine unloading parameter testing method, a driving device is used for driving the workbench to move, the lowest point of the bucket lip of a loading machine is found through the distance-measuring sensor arranged on the workbench, the vertical distance between the lowest point of the bucket lip of the loading machine and the distance-measuring sensor is tested out, and the unloading height of the loading machine is further obtained, and the unloading distance of the loading machine is measured through the moving distance of the workbench at the same time. The loading machine parameter testing device and method can measure loading machine unloading parameters simply, rapidly and efficiently, can improve loading machine testing efficiency greatly, overcomes the influence of manual factors, and has a broad application range.

The invention discloses an automatic testing device of performance of an electromagnet for a valve, which comprises a workbench, a tension and pressure sensor, a displacement sensor, a hydraulic proportional amplifying plate, a slide block and a linear slipway which is fixedly connected with the workbench. The electromagnet to be tested is placed and fastened on the slide block; the slide block is in slide fit in the vertical direction of the linear slipway; the tension and pressure sensor is fixed on the workbench under the slide block; a touch rod of the tension and pressure sensor is positioned at the right lower part of an armature of the electromagnet to be tested; the displacement sensor is fixedly connected to the linear slipway; and the free end of a slide rod of the displacement sensor is fixed on the slide block. The automatic testing device also comprises a programmable logic controller, a data collecting card, a current sensor and an industrial control computer, wherein the programmable logic controller is electrically connected with the hydraulic proportional amplifying plate and an operating button on the workbench respectively; and the data collecting card is electrically connected with the displacement sensor, the tension and pressure sensor, the current sensor and the industrial control computer respectively.

The invention discloses a detecting and evaluating method for appearance quality of concrete. The detecting and evaluating method comprises the following steps: firstly, selecting a detection sample with the area of S0, and shooting to obtain a surface photo; secondly, carrying out binarization processing on the surface photo; thirdly, analyzing the surface photo subjected to the binarization processing to obtain the percentage A of pixel points on a defective part; fourthly, calculating defect area S of the detection sample; fifthly, smearing a filling agent on the surface of the detection sample, and equivalently replacing detect volume V of the detection sample according to change of volume V0 before the filling agent is smeared and V1 after the filling agent is smeared; sixthly, calculating the defect average depth H of the detection sample, wherein the defect average depth H is equal to V / S; seventhly, comprehensively evaluating the surface appearance quality of the concrete according to the defect average depth H. According to the detecting and evaluating method disclosed by the invention, appearance defects of the concrete are quantitatively measured by adopting an image binarization processing technique and an isovolumetric replacement method, so that influence from human factors can be avoided, and evaluation for the appearance quality of the concrete is scientific and objective; in addition, the method is efficient and convenient, so that labor cost can be greatly reduced.

The invention discloses a method for intelligently detecting the quality of foundation piles. The steps are as follows: 1) select a number of standard foundation pile samples, and vertically excite sound waves on the top of the sample foundation piles; 2) Multiple excitation-reception is performed on the same foundation pile, and the signals received multiple times are superimposed to improve the signal-to-noise ratio; 3) According to the (defect position w, length l ) parameters and recorded signal waveforms, train the foundation pile intelligent detection model, and determine the signal processing model parameters suitable for the measurement environment and measuring instruments; The method is used to obtain signal wave trains for processing, extract and automatically identify the arrival time of the defect reflection wave and the bottom reflection wave of the foundation pile, and then determine the defect position w and length l of the foundation pile.

The invention discloses a ceramic tile automatic detection device. The ceramic tile automatic detection device comprises a face plate cover, large sliding blocks, middle sliding blocks, small sliding blocks, a large screw, a middle screw, a small screw, a large polish shaft, a middle polish shaft, a small polish shaft, an industrial CCD (Charge Coupled Device) camera and an annular light source; the number of the large sliding blocks is two; the large sliding blocks are flexibly connected with the face plate cover through the large polish screw and the large polish shaft; the number of the middle sliding blocks is four; the four middle sliding blocks are evenly divided into two groups which are flexibly connected to the two large sliding blocks through the middle screw and the middle polish shaft; the small sliding blocks which are corresponding to the middle sliding blocks in a one to one mode are flexibly connected with the middle sliding blocks through the small screw and the small polish shaft; the industrial CCD camera and the annular light source are fixed on the small sliding blocks. During the actual working process, the distance between cameras on the left side and the right side of a horizontal plane is controlled through the large sliding blocks, the distance between cameras on the front side and the rear side of the horizontal plane is controlled by the middle sliding blocks, the distance from top to bottom of the industrial CCD camera in the vertical direction is controlled through the small sliding blocks to be adapted to correct focusing under the actual working environment, and accordingly automatic detection of ceramic tile size and angle and surface defects is achieved.

The invention relates to an automatic rice steamer filling machine with a rotatory center. The automatic rice steamer filling machine with the rotatory center is low in labor intensity, high in working efficiency and stable in rice steamer filling quality. The automatic rice steamer filling machine with the rotatory center comprises a lifting rotatory device, a support, a conveyor and a material distributing device. The conveyor is arranged on the support, and the material distributing device and the lifting rotatory device are respectively connected with the support which is arranged below an output end and an input end of the conveyor. The automatic rice steamer filling machine with the rotatory center is characterized in that a PLC and a frequency converter are further arranged on the lifting rotatory device, the PLC is connected with the lifting rotatory device, the conveyor and the material distributing device through the frequency converter, and the rack lifting rotatory device, the conveyor and the material distributing device are controlled through initialized programs of the PLC.