CN114324349A - Device for counting yield of sanitary equipment based on big data - Google Patents
Device for counting yield of sanitary equipment based on big data Download PDFInfo
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- CN114324349A CN114324349A CN202111457283.9A CN202111457283A CN114324349A CN 114324349 A CN114324349 A CN 114324349A CN 202111457283 A CN202111457283 A CN 202111457283A CN 114324349 A CN114324349 A CN 114324349A
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Abstract
The invention relates to the technical field of hygienic products, in particular to a device for counting the finished product rate of sanitary equipment based on big data. According to the device for counting the finished product rate of the sanitary equipment based on the big data, the intelligent counting of the finished product rate of the sanitary equipment is realized by arranging the visual detection component for detecting the product based on the SVM classification algorithm and the counting component for counting the finished product rate of the product, so that the production efficiency is effectively improved, and the labor cost is reduced; by arranging the first transmission unit, the second transmission unit and the third transmission unit, the good products and the defective products are distinguished, and the yield of the sanitary equipment is conveniently and accurately counted; according to the detection result of the visual detection assembly, the manipulator is controlled to select defective products, the defective products are placed on the first transmission unit, intelligent detection of the defective products is achieved, production efficiency is improved, and manual omission and error detection are effectively avoided.
Description
Technical Field
The invention relates to the technical field of hygienic products, in particular to a device for counting the finished product rate of sanitary equipment based on big data.
Background
In recent years, the manufacturing industry of China is under double pressure of rising labor and raw material cost, the cost advantage of the traditional level gradually disappears, and the transformation of the manufacturing industry is urgent. Under such circumstances, the wave of intelligent manufacturing is generated and becomes an important growth breakthrough of the industry. The deep integration of new generation information technology and manufacturing industry is leading to profound industrial changes, forming new production modes, industrial forms, business models and economic growth points.
At present, the existing part of China has outstanding performance and grows into a leading-edge position for intelligent manufacturing. The haining city in Zhejiang province is the representative of the haining city, and has a certain revolution basis in the great trend of the fusion and development of new-generation information technology and industry as one of the most potential cities in Yangtze triangle region. The method has the advantages of being excellent in geographical location, economic foundation and human living environment and wide in development prospect. The industrial 4.0 new technology represented by cloud computing, big data and artificial intelligence will become the key for improving the efficiency of the manufacturing industry in China.
According to expert's inference, the development of the future artificial intelligence industry is 10% in algorithm, 20% in technology and 70% in application scenarios and landings. This inference is trivial, but if the technical advantage is lost in the first 30%, the last 70% is simply left to do the grafts for others.
Therefore, to enhance the artificial intelligence foundation, subject theory combing and research must be performed on the aspects of big data analysis, deep learning, and independent cooperation, and the research on basic technologies such as brain-like intelligence calculation and biological simulation must be developed, and the product transformation of research results must be focused in the forms of laboratories, research institutes, and the like.
The basic theory is fundamental, the basic technology is the trunk, and the application is the branches and leaves. Only if the root is deep and huge and the trunk is strong, the artificial intelligence industry can be increasingly prosperous. The current artificial intelligence sharing technology comprises a knowledge calculation engine technology, a natural language processing technology, a group intelligence key technology, an autonomous unmanned system intelligence technology, a virtual reality intelligent modeling technology, an intelligent calculation chip and an intelligent calculation system and the like.
In the application scene, the method is not so critical, because a way for integrating artificial intelligence into the industry is explored domestically, links such as design, production, logistics, service and the like are continuously optimized and coordinated, and the initiative is gradually established in the aspects of core software, key components, important equipment, network coordination and the like. Only theory and technology tamping foundation, China must win the first opportunity in the industrial primary battlefield with the price.
Intelligent Manufacturing (IM) is an integrated man-machine intelligence system consisting of Intelligent machines and human experts, which can perform Intelligent activities such as analysis, inference, judgment, conception and decision-making during the Manufacturing process. By the cooperation of human and intelligent machine, the mental labor of human expert in the manufacturing process is enlarged, extended and partially replaced. The concept of manufacturing automation is updated, and the manufacturing automation is expanded to flexibility, intellectualization and high integration. Based on the essential characteristics of an intelligent manufacturing system, in a distributed manufacturing network environment, according to the basic idea of distributed integration, the theory and method of a multi-Agent system in distributed artificial intelligence are applied, and the flexible intelligence integration of a manufacturing unit and the flexible intelligence integration of the manufacturing system based on the network are realized. According to the isomorphic characteristics of the distribution system, on the basis of a local area implementation form of the intelligent manufacturing system, the implementation mode of the intelligent manufacturing system under the global manufacturing network environment based on the Internet is actually reflected. The production process of intelligent manufacturing has higher automation degree, and artificial intelligence is mainly used for engineering design, process design, production scheduling, fault diagnosis and the like. However, the production statistics is manual statistics, and all production lines are counted up, so that the statistics takes longer time and the efficiency is lower.
Disclosure of Invention
The invention aims to solve at least one technical problem in the prior art and provide a device for counting the yield of sanitary equipment based on big data.
In order to achieve the purpose, the technical scheme adopted by the invention is as follows: the device for counting the finished product rate of the sanitary equipment based on the big data comprises a rack, wherein an electric mechanism, a conveying mechanism and a controller are arranged on the rack, the electric mechanism is arranged at the lower part of the conveying mechanism, and the controller is electrically connected with the electric mechanism and the conveying mechanism; the conveying mechanism is provided with a visual detection component for product detection based on an SVM classification algorithm and a counting component for counting the finished product rate of products, and the visual detection component and the counting component are fixedly connected with the rack through a bracket and are electrically connected with the controller;
the conveying mechanism comprises a first conveying unit, a second conveying unit and a third conveying unit, the first conveying unit and the third conveying unit are arranged at two ends of the second conveying unit, the first conveying unit and the second conveying unit move oppositely, and the third conveying unit and the second conveying unit move in the same direction; and the second conveying unit is provided with a manipulator unit which is electrically connected with the controller and used for selecting defective products according to the detection result of the visual detection assembly and placing the defective products on the first conveying unit.
Further, the visual inspection assembly comprises
The light source is used for polishing the detected target object so that the surface of the target object has proper illumination characteristics;
the optical imager is used for converting an acquired image optical signal into an electric signal after a target object is polished and transmitting the electric signal to the image processor;
and the image processor is used for processing the acquired electric signals by using an image processing method, acquiring corresponding image characteristic information and transmitting the image characteristic information to the controller.
Further, the light source is a plurality of strip light sources, and the strip light sources are uniformly distributed at the lower part of the second conveying unit; the optical imager is a camera, and the camera is arranged at the upper end of the rack through a bracket; the image processor is a computer.
Further, the SVM classification algorithm analyzes based on product defects and product defect characteristics, wherein the product defects comprise one or more of appearance, cracks, stains, broken holes and lamination; the product defect characteristics include one or more of length, width, area, contrast.
Further, the counting assembly comprises a light emitter and a light detector, wherein the light emitter and the light detector are arranged in a straight line and are distributed perpendicular to the rack workbench; the light emitter is arranged below the third transmission unit and the first transmission unit and fixedly connected with the rack; the light detector is arranged above the third conveying unit and the first conveying unit relative to the light emitter and is fixedly connected with the rack.
Further, a third transfer unit is integrally connected with the second transfer unit.
Further, first conveying unit or second conveying unit or third conveying unit are including setting up a plurality of conveying roller that arranges along the horizontal direction equidistance in the frame, the both ends of conveying roller are passed through the bearing respectively and are rotated with the frame and be connected, just the outside at conveying roller both ends is all fixed and is provided with sprocket, a plurality of the outside homogeneous phase meshing of sprocket is provided with the chain, and a plurality of connect through chain drive between the sprocket.
Furthermore, the lower ends of the first conveying unit, the second conveying unit and the third conveying unit are provided with folding and unfolding assemblies.
Furthermore, the folding and unfolding component comprises a fixed plate, a first movable plate, a second movable plate, a third movable plate and a fourth movable plate, wherein a first rack and a second rack are respectively arranged on two sides of the fixed plate; the upper part of the second gear is in tooth sum with the second rack, the lower part of the second gear is in tooth sum with a fourth rack, and the fourth rack is connected with the fourth movable plate.
Further, the fixing plate is positioned at the lower end of the rack at the joint of the first conveying unit and the second conveying unit; the first movable plate and the second movable plate are positioned at the lower ends of the racks of the second conveying unit and the third conveying unit; the third movable plate and the fourth movable plate are positioned at the lower end of the rack of the first conveying unit; and the rack is provided with a track for the movement of the first movable plate, the second movable plate, the third movable plate 1204 and the fourth movable plate.
The invention has the beneficial effects that: compared with the prior art, the device for counting the finished product rate of the sanitary equipment based on the big data has the advantages that the intelligent counting of the finished product rate of the sanitary equipment is realized by arranging the visual detection component for carrying out product detection based on the SVM classification algorithm and the counting component for counting the finished product rate of the product, the production efficiency is effectively improved, and the labor cost is reduced.
Through setting up first conveying unit, second conveying unit, third conveying unit, realize the differentiation to yields, defective products, the yield of the accurate statistics sanitary equipment of being convenient for.
According to the detection result of the visual detection assembly, the manipulator is controlled to select defective products, the defective products are placed on the first transmission unit, intelligent detection of the defective products is achieved, production efficiency is improved, and manual omission and error detection are effectively avoided.
Drawings
FIG. 1 is a schematic diagram of a device for counting the yield of a sanitary equipment based on big data according to a preferred embodiment of the present invention;
FIG. 2 is a schematic diagram of the internal structure of a big data-based device for counting the yield of sanitary equipment in a preferred embodiment of the present invention;
FIG. 3 is a schematic diagram of a control structure of a big data-based device for counting the yield of a sanitary equipment according to a preferred embodiment of the present invention;
FIG. 4 is a diagram of a binary classification model of the SVM algorithm in the preferred embodiment of the present invention.
Reference numerals: 1. a frame; 2. an electric mechanism; 3. a transport mechanism; 301. a first transfer unit; 302. A second transfer unit; 303. a third transfer unit; 4. a controller; 5. a visual inspection assembly; 501. A light source; 502. an optical imager; 503. an image processor; 6. a counting assembly; 601. a light emitter; 602. a photodetector; 7. a support; 8. a manipulator unit; 9. a conveying roller; 10. a sprocket; 11. A chain; 12. a folding and unfolding component; 1201. a fixing plate; 1202. a first movable plate; 1203. a second movable plate; 1204. a third movable plate; 1205. a fourth movable plate; 1206. a first rack; 1207. a second rack; 1208. a first gear; 1209. a second gear; 1210. a third rack; 1211. and a fourth rack.
Detailed Description
The technical solutions in the present invention will be described clearly and completely with reference to the accompanying drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only some embodiments of the present invention, not all embodiments.
In the description of the present invention, it is to be noted that, unless otherwise explicitly specified or limited, the terms "connected" and "connected" are to be interpreted broadly, e.g., as being fixed or detachable or integrally connected; can be mechanically or electrically connected; may be directly connected or indirectly connected through an intermediate. The specific meanings of the above terms in the present invention can be understood in specific cases to those skilled in the art.
Referring to fig. 1-3, a device for counting the yield of sanitary equipment based on big data according to a preferred embodiment of the present invention includes a rack 1, wherein an electric mechanism 2, a conveying mechanism 3, and a controller 4 are installed on the rack 1, the electric mechanism 2 is disposed at the lower part of the conveying mechanism 3, and the controller 4 is electrically connected to the electric mechanism 2 and the conveying mechanism 3; the conveying mechanism 3 is provided with a visual detection assembly 5 for product detection based on an SVM classification algorithm and a counting assembly 6 for counting the finished product rate of products, wherein the visual detection assembly 5 and the counting assembly 6 are fixedly connected with the rack 1 through a support 7 and are electrically connected with the controller 4, so that the finished product rate of sanitary equipment is intelligently counted, the production efficiency is effectively improved, and the labor cost is reduced.
The conveying mechanism 3 comprises a first conveying unit 301, a second conveying unit 302 and a third conveying unit 303, the first conveying unit 301 and the third conveying unit 303 are arranged at two ends of the second conveying unit 302, the first conveying unit 301 and the second conveying unit 302 move oppositely, and the third conveying unit 303 and the second conveying unit 302 move in the same direction, so that the good products and the poor products are distinguished, and the yield of the sanitary equipment is conveniently and accurately counted; just install manipulator unit 8 on the second conveying unit 302, manipulator unit 8 with controller 4 electricity is connected, is used for the basis defective products are picked out to the testing result of visual detection subassembly 5 to place the defective products on first conveying unit 301, realize the intelligent detection to the defective products, improve production efficiency, effectively avoid artifical hourglass to examine, phenomenon such as wrong detection, manipulator unit in this implementation designs according to current technique, as long as it can realize pressing from both sides getting to the defective products, and the rotation is placed the defective products on first conveying unit 301, will not distinguish one here.
As a preferred embodiment of the present invention, it may also have the following additional technical features: the visual inspection assembly 5 comprises
A light source 501, configured to polish a detected target object, so that the surface of the target object has a suitable illumination characteristic; and the light source is the bar light source in this embodiment, and this bar light source is a plurality of, and a plurality of bar light source evenly distributed in second transfer unit lower part to according to actual need, freely adjust the installation angle of bar light source and utilize suitable light source to beat the light to the target object that is detected, make the suitable illumination intensity of target object surface mask, colour or other illumination characteristics, thereby can highlight the object characteristic that needs detect better, obtain the image effect that changes easily and handle, and reduce follow-up image processing's complexity and degree of difficulty.
The optical imager 502 is configured to convert an image optical signal obtained after the target object is polished into an electrical signal, and transmit the electrical signal to the image processor 503. In this embodiment, the optical imager 502 is a camera, and the camera is disposed at the upper end of the frame through a bracket, that is, after the target object is polished, an optical image of the target object is formed by using the principle of an industrial lens and a lens, and the image is projected on an optical sensor of the industrial camera, so that an optical signal of the image is converted into an electrical signal;
and an image processor 503, configured to process the acquired electrical signal by using an image processing method, obtain corresponding image characteristic information, and transmit the image characteristic information to the controller. The image processor of this embodiment is a computer, and the computer processes the digital image by using a related image processing method, so as to obtain the image features that we need for the final judgment
And the controller responds to the final image processing output result and makes corresponding actions, such as controlling the manipulator to remove defective products.
In the embodiment, the SVM classification algorithm is used for analyzing based on product defects and product defect characteristics, wherein the product defects comprise appearance, cracks, stains, holes and lamination; the product defect characteristics include length, width, area, contrast.
The traditional SVM (support vector machine) algorithm is a two-classification model and is used for solving the two-classification problem. After later development, the algorithm can also be used for solving the multi-classification problem. The SVM algorithm uses a given training sample to establish an optimal hyperplane as a decision surface, which allows two types of data points to be separated with a maximized interval boundary. As shown in fig. 4, the optimal hyperplane concept in SVM is simply understood by taking the conventional two-classification problem in two-dimensional space as an example. To complete the classification of the two sets of data, a curve is found to separate the two sets of data points. In fact, there are numerous curves, and it is only necessary that the curve be between two sets of data points. In a three-dimensional or multi-dimensional space, a curved surface is required to realize the segmentation of data points. The above curves and surfaces are referred to as hyperplanes in SVMs. The optimal hyperplane not only requires accurate segmentation of data points, but also requires the maximization of the distance between the data points closest to the hyperplane and the hyperplane, so that the optimal classification effect can be achieved. The data points closest to the optimal hyperplane are called support vectors, and in fact, the optimal hyperplane is substantially determined by the support vectors.
After later development, on the basis of the traditional SVM algorithm, a one-to-many strategy and a one-to-one strategy can be used for completing multi-classification tasks. The "one-to-many" strategy uses n classifiers for n classes, respectively. During training, a certain sample is used as a positive sample, and other samples are used as negative samples, so that the training of the n classifiers is completed in sequence. This strategy may produce multiple instances of maxima during the training process. If the situation occurs, the trained classifier cannot identify the category of the feature data, or the same feature data is identified into a plurality of categories. The 'one-to-one' strategy is used for respectively constructing n (n-1)/2 classifiers aiming at n classes, namely training one classifier between every two n classes. In the actual classification, the type of the feature data is determined by using a voting method, and the class with the most votes is used as the class in which the feature data is located. The problem with this strategy is that the output of one input class may be voted the same for more than two classes, resulting in its recognition as multiple classes.
Therefore, the embodiment adopts a one-to-one strategy of an SVM algorithm to finish multi-classification tasks, and judges the appearance, cracks, stains, holes, lamination and the like of a product by detecting the length, width, area and contrast of the product, thereby realizing intelligent detection of the product.
In this embodiment, the counting assembly 6 includes a light emitter 601 and a light detector 602, wherein the light emitter 601 and the light detector 602 are arranged in a straight line and are distributed perpendicular to the worktable of the rack 1; the light emitter 601 is arranged below the third conveying unit 303 and the first conveying unit 301, and is fixedly connected with the rack 1; the light detector 602 is arranged above the third conveying unit 303 and the first conveying unit 301 relative to the light emitter 601, and is fixedly connected with the rack 1, so that intelligent statistics on the yield of the sanitary equipment is realized, the production efficiency is effectively improved, and the labor cost is reduced, wherein the light emitter of the embodiment is a laser emitter, the light detector is a photoelectric conversion photosensitive sensor, and if a product passes through, laser sent by the laser emitter is blocked by the product, and the light detector cannot receive the laser, so that the controller cannot receive a signal, and at this time, the controller adds one to the number of the product and sends out the signal; after the product passes through, the laser emitted by the laser emitter can be received by the optical detector, and the optical detector converts the received light beam into an electric signal and then transmits the electric signal to the controller, so that the intelligent statistics of the yield of the equipment is realized, and the accuracy of the yield is ensured.
In this embodiment, the third transfer unit 303 is integrally connected to the second transfer unit 302.
In this embodiment, the first conveying unit 301, the second conveying unit 302, or the third conveying unit 303 includes a plurality of conveying rollers 9 disposed on the frame 1 at equal intervals along the horizontal direction, two ends of the conveying rollers 9 are rotatably connected with the frame 1 through bearings, and sprockets 10 are fixedly disposed outside two ends of the conveying rollers, a plurality of chains 11 are disposed outside the sprockets 10 in a meshed manner, and the plurality of chains 11 are connected between the sprockets 10 in a transmission manner, so that the sanitary ware can be conveniently conveyed.
In order to avoid the chain from being loosened, the lower ends of the first conveying unit 301, the second conveying unit 302 and the third conveying unit 303 in the embodiment are provided with the folding and unfolding assemblies 12. The folding and unfolding assembly 12 comprises a fixed plate 1201, a first movable plate 1202, a second movable plate 1203, a third movable plate 1204 and a fourth movable plate 1205, wherein a first rack 1206 and a second rack 1207 are respectively arranged on two sides of the fixed plate 1201, a first gear 1208 and a second gear 1209 are respectively mounted on the first movable plate 1202 and the third movable plate 1203, the lower part of the first gear 1208 is in tooth engagement with the first rack 1206, the upper part of the first gear is in tooth engagement with a third rack 1210, and the third rack 1210 is connected with the second movable plate 1202; the upper part of the second gear 1209 is toothed with the second rack 1207, the lower part of the second gear 1209 is toothed with a fourth rack 1211, the fourth rack 1211 is connected with the fourth movable plate 1205, when the chains of the second conveying unit 302 and the third conveying unit 303 are loosened, the first gear 1208 is rotated, so that the first movable plate 1202 and the second movable plate 1203 move towards the direction of the fixed plate 1201 under the action of the first rack 1206 and the third rack 1210, and the chain is tightened; similarly, when the chain is too tight and the chain motion is affected, the first gear 1208 is rotated reversely, so that the movable plate moves toward the second movable plate 1203 under the action of the rack.
When the chain of the first conveying unit 301 loosens, the third movable plate 1204 and the fourth movable plate 1205 move towards the fixed plate 1201 by the second rack 1207 and the fourth rack 1211 through rotation of the second gear 1209, so that the chain is tightened; similarly, when the chain is too tight and the chain motion is affected, the second gear 1209 is rotated reversely, so that the movable plate moves toward the fourth movable plate 1205 under the action of the rack.
Thereby realize the exhibition effect of taking in of chain, when effectively avoiding the chain to appear becoming flexible, equipment stop work.
In this embodiment, the fixing plate 1201 is located at the lower end of the rack 1 where the first conveying unit 301 and the second conveying unit 302 are connected; the first movable plate 1202 and the second movable plate 1203 are located at the lower end of the frame 1 of the second conveying unit 302 and the third conveying unit 303; the third movable plate 1204 and the fourth movable plate 1205 are located at the lower end of the frame 1 of the first conveying unit 301, and rails for moving the first movable plate 1202, the second movable plate 1203, the third movable plate 1204 and the fourth movable plate 1205 are installed on the frame, so that the movable plates can move on the rails, and the chain can be folded and unfolded.
According to the invention, the camera and the light source are fixed through the bracket, so that the camera can obtain an image of the target to be detected at a proper distance, and meanwhile, the light source can polish the target to be detected, thereby obtaining a better picture effect. The camera is connected with the computer, the image acquired by the camera is transmitted into the computer, the computer utilizes an SVM classification algorithm to process, a processing result is displayed on the display, the processing result is transmitted to the controller, the controller controls the manipulator to select defective products, the defective products are placed on the first transmission unit, intelligent detection of the defective products is achieved, production efficiency is improved, and the phenomena of manual omission, false detection and the like are effectively avoided. And the counting assembly is used for counting finished products, so that the intelligent counting of the finished product rate of the equipment is realized, and the accuracy of the finished product rate is ensured. And the chain is prevented from loosening by utilizing the folding and unfolding component, so that the continuous production is ensured.
The above additional technical features can be freely combined and used in superposition by those skilled in the art without conflict.
It is to be understood that the present invention has been described with reference to certain embodiments, and that various changes in the features and embodiments, or equivalent substitutions may be made therein by those skilled in the art without departing from the spirit and scope of the invention. In addition, many modifications may be made to adapt a particular situation or material to the teachings of the invention without departing from the essential scope thereof. Therefore, it is intended that the invention not be limited to the particular embodiment disclosed, but that the invention will include all embodiments falling within the scope of the appended claims.
Claims (10)
1. Device is counted to sanitary equipment yield based on big data, its characterized in that: the automatic feeding device comprises a rack, wherein an electric mechanism, a conveying mechanism and a controller are arranged on the rack, the electric mechanism is arranged at the lower part of the conveying mechanism, and the controller is electrically connected with the electric mechanism and the conveying mechanism; the conveying mechanism is provided with a visual detection component for product detection based on an SVM classification algorithm and a counting component for counting the finished product rate of products, and the visual detection component and the counting component are fixedly connected with the rack through a bracket and are electrically connected with the controller;
the conveying mechanism comprises a first conveying unit, a second conveying unit and a third conveying unit, the first conveying unit and the third conveying unit are arranged at two ends of the second conveying unit, the first conveying unit and the second conveying unit move oppositely, and the third conveying unit and the second conveying unit move in the same direction; and the second conveying unit is provided with a manipulator unit which is electrically connected with the controller and used for selecting defective products according to the detection result of the visual detection assembly and placing the defective products on the first conveying unit.
2. The big-data based satellite equipment yield statistic device according to claim 1, wherein: the visual inspection assembly comprises
The light source is used for polishing the detected target object so that the surface of the target object has proper illumination characteristics;
the optical imager is used for converting an acquired image optical signal into an electric signal after a target object is polished and transmitting the electric signal to the image processor;
and the image processor is used for processing the acquired electric signals by using an image processing method, acquiring corresponding image characteristic information and transmitting the image characteristic information to the controller.
3. The big-data based satellite equipment yield statistic device according to claim 2, wherein: the light sources are strip-shaped light sources, the number of the strip-shaped light sources is multiple, and the strip-shaped light sources are uniformly distributed at the lower part of the second conveying unit; the optical imager is a camera, and the camera is arranged at the upper end of the rack through a bracket; the image processor is a computer.
4. The big-data based satellite equipment yield statistic device according to claim 1, wherein: the SVM classification algorithm analyzes based on product defects and product defect characteristics, wherein the product defects comprise one or more of appearance, cracks, stains, broken holes and lamination; the product defect characteristics include one or more of length, width, area, contrast.
5. The big-data based satellite equipment yield statistic device according to claim 1, wherein: the counting assembly comprises a light emitter and a light detector, wherein the light emitter and the light detector are arranged in a straight line and are distributed perpendicular to the rack workbench; the light emitter is arranged below the third transmission unit and the first transmission unit and fixedly connected with the rack; the light detector is arranged above the third conveying unit and the first conveying unit relative to the light emitter and is fixedly connected with the rack.
6. The big-data based satellite equipment yield statistic device according to claim 1, wherein: the third transfer unit is integrally connected with the second transfer unit.
7. The big-data based satellite equipment yield statistic device according to claim 1, wherein: first conveying unit or second conveying unit or third conveying unit are including setting up a plurality of conveying roller that arranges along the horizontal direction equidistance in the frame, the both ends of conveying roller are passed through the bearing respectively and are rotated with the frame and be connected, just the outside at conveying roller both ends is all fixed and is provided with sprocket, a plurality of the outside homogeneous phase meshing of sprocket is provided with the chain, and a plurality of connect through chain drive between the sprocket.
8. The big-data based satellite equipment yield statistic device according to claim 1, wherein: the lower ends of the first conveying unit, the second conveying unit and the third conveying unit are provided with folding and unfolding assemblies.
9. The big-data based satellite equipment yield statistic device according to claim 8, wherein: the folding and unfolding component comprises a fixed plate, a first movable plate, a second movable plate, a third movable plate and a fourth movable plate, wherein a first rack and a second rack are respectively arranged on two sides of the fixed plate; the upper part of the second gear is in tooth sum with the second rack, the lower part of the second gear is in tooth sum with a fourth rack, and the fourth rack is connected with the fourth movable plate.
10. The big-data based satellite device yield statistic device according to claim 9, wherein: the fixed plate is positioned at the lower end of the rack at the joint of the first conveying unit and the second conveying unit; the first movable plate and the second movable plate are positioned at the lower ends of the racks of the second conveying unit and the third conveying unit; the third movable plate and the fourth movable plate are positioned at the lower end of the rack of the first conveying unit; and the rack is provided with a track for the movement of the first movable plate, the second movable plate, the third movable plate 1204 and the fourth movable plate.
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