CN111768221B - Price big data evaluation system based on pig body type detection - Google Patents
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Abstract
The invention relates to a price big data evaluation system based on pig body variety detection, which comprises: the parameter detection equipment is arranged below a flat-bottom chassis for placing a single pig body and is used for detecting the weight of the single pig body to be output as the current weight of the pig body; the embedded camera is arranged opposite to the flat-bottom chassis and used for executing camera shooting operation facing to the environment where the flat-bottom chassis is located so as to obtain and output a corresponding chassis environment image; and the strategy setting equipment is connected with the parameter detection equipment and is used for receiving the current pig body weight and the current pig body type and calculating the evaluation price of the current pig body based on the current pig body weight and the current pig body type. The price big data evaluation system based on pig body variety detection provided by the invention is automatic in operation and convenient to operate. Because various parameters related to the live pig pricing can be automatically detected, the live pig automatic pricing can be executed, and the replacement of the original slow manual pricing mode is further completed.
Description
Technical Field
The invention relates to the field of live pig purchasing, in particular to a price big data evaluation system based on pig body type detection.
Background
Live pigs, i.e. live pigs, are collectively referred to as non-slaughtered domestic pigs, excluding boar pigs. Pigs, omnivorous animals. Pigs generally refer to livestock. The pig is a mammal, the body is fat, the four limbs are short and short, and the nose and the mouth are longer.
The raw pork can be eaten, the skin can be used for making leather, the body and limbs are short, the nature is warm and domesticated, the adaptability is strong, the raw pork is easy to raise, the propagation is fast, and the raw pork has black, white, dark reddish brown or black and white flowers and other colors. The pigs can be bred in 5-12 months after birth, and the gestation period is about 4 months. The average life span of pigs was 20 years.
Besides fresh meat, the live pig can be processed into ham, pickled meat, sausage, dried meat floss, etc. Pigskin, bristles and pig intestine can be used as industrial raw materials. The pig blood and pig bone can be made into blood powder and bone powder respectively for feed. Pig viscera and gland can be used for extracting various medical drugs.
The pig itself is also a good experimental animal. Farmers have the habit of pig raising and fertilizer accumulation and pig manure fertilizing fields, and pig raising becomes an important component in agricultural production. Domestication of domestic pigs is not concentrated in a certain area, but residents in various areas domesticate results of local wild pigs respectively. The domestic pig has a full body, short and small limbs, a concave or straight nasal surface, a drooping or standing ear, thick fur, black, white, brown, red and black-white flowers and other colors. The nasal kisses of the pigs are flexible and have the instinct of foraging underground grass roots, tubers and other foods by pushing soil at the nasal ends. The foot has four toes, but only the 3 rd and 4 th toes touch the ground.
Disclosure of Invention
In order to solve the technical problems in the related field, the invention provides a price big data evaluation system based on pig body type detection, which can replace the original manual pricing mode and establish an automatic pricing mode based on the current pig body weight and the current pig body type, thereby improving the pricing speed and efficiency; and an image recognition mechanism is also adopted to accurately recognize the type of the on-site pig body, so that important reference data is provided for pricing the current pig body.
According to an aspect of the present invention, there is provided a price big data evaluation system based on pig body species detection, the system including:
the parameter detection equipment is arranged below a flat-bottom chassis for placing a single pig body and is used for detecting the weight of the single pig body to be output as the current weight of the pig body;
the embedded camera is arranged opposite to the flat-bottom chassis and used for executing camera shooting operation facing to the environment where the flat-bottom chassis is located so as to obtain and output a corresponding chassis environment image;
the strategy setting device is connected with the parameter detection device and used for receiving the current pig body weight and the current pig body type and calculating the evaluation price of the current pig body based on the current pig body weight and the current pig body type;
the band-pass filtering equipment is connected with the embedded camera and used for executing band-pass filtering processing on the received chassis environment image so as to obtain a corresponding band-pass filtering image;
bilateral filtering fuzzy equipment which is connected with the band-pass filtering equipment and is used for executing bilateral filtering fuzzy processing on the received band-pass filtering image so as to obtain a bilateral filtering fuzzy image;
the real-time sharpening device is connected with the bilateral filtering fuzzy device and is used for carrying out real-time sharpening processing based on a Kirsch operator on the received bilateral filtering fuzzy image so as to obtain a real-time sharpened image;
the gamma correction device is connected with the real-time sharpening device and is used for carrying out gamma correction on the received real-time sharpened image so as to obtain a gamma corrected image;
and the content processing device is respectively connected with the gamma correction device and the strategy setting device and is used for respectively carrying out similarity analysis on various types of pig body reference patterns and the gamma correction images and outputting the type corresponding to the pig body reference pattern with the highest similarity as the current pig body type.
According to another aspect of the present invention, there is also provided a price big data evaluation method based on pig body type detection, the method comprising using a price big data evaluation system based on pig body type detection as described above for establishing an automatic pricing model based on current pig body weight and current pig body type to replace the original manual pricing model.
The price big data evaluation system based on pig body variety detection provided by the invention is automatic in operation and convenient to operate. Because various parameters related to the live pig pricing can be automatically detected, the live pig automatic pricing can be executed, and the replacement of the original slow manual pricing mode is further completed.
It can be seen that the present invention has at least the following important features:
(1) the original manual pricing mode is replaced, and an automatic pricing mode based on the current pig body weight and the current pig body type is established, so that the pricing speed and efficiency are improved;
(2) and an image recognition mechanism is adopted to accurately recognize the types of the pigs on the spot, and important reference data is provided for pricing the current pig.
Detailed Description
The following will describe in detail an embodiment of the price data evaluation system based on pig body species detection according to the present invention.
Image recognition refers to a technique of processing, analyzing and understanding an image with a computer to recognize various different modes of objects and objects. Image recognition is an important area of artificial intelligence. At present, the main image recognition methods include an image recognition method based on a neural network, an image recognition method based on a wavelet moment, and the like.
Image recognition refers to a technique of processing, analyzing and understanding an image with a computer to recognize various different modes of objects and objects. In general industrial use, an industrial camera is adopted to shoot pictures, then software is utilized to carry out further identification processing according to the gray level difference of the pictures, and image identification software has the effects of good eyesight and the like represented in foreign countries and has the effects of image intelligence represented in domestic countries. In addition, the technology refers to the technology for classifying remote sensing images in geography.
The pattern stimulus acts on the sense organ and one recognizes it as an experienced process of a certain pattern, also called image recognition. In image recognition, there is not only information that enters the sense at that time, but also information stored in memory. Only through the stored information and the current information comparison process, can the realization of the image recognition.
Image recognition is an important area of artificial intelligence. In order to create a computer program that simulates human image recognition activities, different image recognition models have been proposed. Such as template matching models, prototype matching models.
At present, in a live pig purchasing link, pricing is carried out on a single pig body basically by means of manual experience and a weight sensor, due to the fact that manual experience is unstable and flexible, the conventional pricing mode is not accurate enough, is out of fairness and even causes disputes in severe cases, and more importantly, the manual pricing mode is low in speed and cannot be suitable for batch operation.
In order to overcome the defects, the price big data evaluation system based on pig body type detection is built, and the corresponding technical problems can be effectively solved.
The price big data evaluation system based on pig body variety detection shown according to the embodiment of the invention comprises:
the parameter detection equipment is arranged below a flat-bottom chassis for placing a single pig body and is used for detecting the weight of the single pig body to be output as the current weight of the pig body;
the embedded camera is arranged opposite to the flat-bottom chassis and used for executing camera shooting operation facing to the environment where the flat-bottom chassis is located so as to obtain and output a corresponding chassis environment image;
the strategy setting device is connected with the parameter detection device and used for receiving the current pig body weight and the current pig body type and calculating the evaluation price of the current pig body based on the current pig body weight and the current pig body type;
the band-pass filtering equipment is connected with the embedded camera and used for executing band-pass filtering processing on the received chassis environment image so as to obtain a corresponding band-pass filtering image;
bilateral filtering fuzzy equipment which is connected with the band-pass filtering equipment and is used for executing bilateral filtering fuzzy processing on the received band-pass filtering image so as to obtain a bilateral filtering fuzzy image;
the real-time sharpening device is connected with the bilateral filtering fuzzy device and is used for carrying out real-time sharpening processing based on a Kirsch operator on the received bilateral filtering fuzzy image so as to obtain a real-time sharpened image;
the gamma correction device is connected with the real-time sharpening device and is used for carrying out gamma correction on the received real-time sharpened image so as to obtain a gamma corrected image;
the content processing device is respectively connected with the gamma correction device and the strategy setting device and is used for respectively carrying out similarity analysis on various types of pig body reference patterns and the gamma correction images and outputting the type corresponding to the pig body reference pattern with the highest similarity as the current pig body type;
wherein, in the policy setting device, the lighter the current pig body weight is, the lower the calculated evaluation price of the current pig body is under the condition that the current pig body type is the same;
wherein, in the policy setting device, the lower the current pig body type is, the lower the calculated evaluation price of the current pig body is, in the case that the current pig body weight is the same.
Next, the specific configuration of the price data evaluation system based on pig body type detection according to the present invention will be further described.
The price big data evaluation system based on pig body variety detection can further comprise:
and the content segmentation equipment is used for performing content segmentation on the high-definition image based on the area of the minimum object in the received high-definition image to obtain each segmentation subimage.
The price big data evaluation system based on pig body variety detection can further comprise:
the first acquisition equipment is connected with the content segmentation equipment and is used for receiving each segmentation subimage of the high-definition image, taking the segmentation subimage which completely belongs to the image background area in each segmentation subimage as a target segmentation subimage, and taking the segmentation subimage which does not completely belong to the image background area in each segmentation subimage as a non-target segmentation subimage.
The price big data evaluation system based on pig body variety detection can further comprise:
and the second acquisition equipment is connected with the first acquisition equipment and is used for receiving each target segmentation sub-image output by the first acquisition equipment, analyzing the contrast value of each target segmentation sub-image and outputting each contrast value corresponding to each target segmentation sub-image.
The price big data evaluation system based on pig body variety detection can further comprise:
and the third acquisition equipment is connected with the second acquisition equipment and is used for carrying out mean value calculation on the contrast values which are left after the maximum value and the minimum value are removed in all the contrast values so as to obtain the contrast values to be processed.
The price big data evaluation system based on pig body variety detection can further comprise:
and the data processing equipment is connected with the third acquisition equipment and is used for executing corresponding image sharpening action on the high-definition image based on the contrast value to be processed so as to obtain and output a corresponding image to be processed.
The price big data evaluation system based on pig body variety detection can further comprise:
in the data processing device, the contrast value to be processed is inversely proportional to the intensity of the corresponding image sharpening action performed on the high-definition image;
the smaller the area of the minimum object in the received high-definition image is, the greater the number of content segmentation performed on the high-definition image to obtain each segmented sub-image is.
In the price big data evaluation system based on pig body variety detection:
the content processing device is also connected with a parallel data bus and is used for receiving data from the parallel data bus and sending the data to the parallel data bus.
The price big data evaluation system based on pig body variety detection can further comprise:
a power supply voltage stabilization device for providing a voltage stabilization operation for a voltage input to the policy setting device or the content processing device;
the strategy setting equipment is internally provided with a timing unit used for providing a reference timing signal for each operation of the strategy setting equipment;
wherein the content processing apparatus includes a signal input unit and a signal output unit, both of which include a ground terminal.
Meanwhile, in order to overcome the defects, the invention also builds a price big data evaluation method based on pig body type detection, and the method comprises the step of using the price big data evaluation system based on pig body type detection to establish an automatic pricing mode based on the current pig body weight and the current pig body type so as to replace the original manual pricing mode.
In addition, image filtering, namely, suppressing the noise of the target image under the condition of keeping the detail features of the image as much as possible, is an indispensable operation in image preprocessing, and the effectiveness and reliability of subsequent image processing and analysis are directly affected by the quality of the processing effect.
Due to the imperfections of the imaging system, the transmission medium, and the recording device, the digital images are often contaminated by various noises during the formation, transmission, and recording processes thereof. In addition, noise may also be introduced into the resulting image at some point in the image processing when the input image object is not as expected. These noises often appear as an isolated pixel or block of pixels on the image that causes a strong visual effect. In general, the noise signal is not correlated with the object to be studied-it appears in the form of useless information, disturbing the observable information of the image. For digital image signals, the noise table is more or less extreme values, and the extreme values act on the real gray values of image pixels through addition and subtraction to cause bright and dark point interference on the image, so that the image quality is greatly reduced, and the follow-up work of image restoration, segmentation, feature extraction, image identification and the like is influenced. Two basic issues must be considered to construct an effective noise suppression filter: the noise in the target and the background can be effectively removed; meanwhile, the shape, the size and the specific geometric and topological structure characteristics of the image target can be well protected.
One of the commonly used image filtering modes is a non-linear filter, generally speaking, when the signal spectrum and the noise spectrum are mixed or when the signal contains non-superimposed noise, such as noise caused by system nonlinearity or the presence of non-gaussian noise, etc.), the conventional linear filtering techniques, such as fourier transform, while filtering out noise, always blur the image details (such as edges, etc.) in some way, thereby causing the positioning accuracy of the image linear features and the extractability of the features to be reduced. The nonlinear filter is based on a nonlinear mapping relation of an input signal, a specific noise can be mapped to be zero approximately, the main characteristic of the signal is reserved, and therefore the nonlinear filter can overcome the defects of the linear filter to a certain extent.
In the description herein, references to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention.
Furthermore, the terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one such feature.
Although the present invention has been described with reference to the above embodiments, it should be understood by those skilled in the art that various changes may be made and equivalents may be substituted without departing from the spirit and scope of the invention. Therefore, the protection scope of the present invention should be subject to the scope defined by the claims of the present application.
Claims (2)
1. A price big data evaluation system based on pig body species detection, the system comprising:
the parameter detection equipment is arranged below a flat-bottom chassis for placing a single pig body and is used for detecting the weight of the single pig body to be output as the current weight of the pig body;
the embedded camera is arranged opposite to the flat-bottom chassis and used for executing camera shooting operation facing to the environment where the flat-bottom chassis is located so as to obtain and output a corresponding chassis environment image;
the strategy setting device is connected with the parameter detection device and used for receiving the current pig body weight and the current pig body type and calculating the evaluation price of the current pig body based on the current pig body weight and the current pig body type;
the band-pass filtering equipment is connected with the embedded camera and used for executing band-pass filtering processing on the received chassis environment image so as to obtain a corresponding band-pass filtering image;
bilateral filtering fuzzy equipment which is connected with the band-pass filtering equipment and is used for executing bilateral filtering fuzzy processing on the received band-pass filtering image so as to obtain a bilateral filtering fuzzy image;
the real-time sharpening device is connected with the bilateral filtering fuzzy device and is used for carrying out real-time sharpening processing based on a Kirsch operator on the received bilateral filtering fuzzy image so as to obtain a real-time sharpened image;
the gamma correction device is connected with the real-time sharpening device and is used for carrying out gamma correction on the received real-time sharpened image so as to obtain a gamma corrected image;
the content processing device is respectively connected with the gamma correction device and the strategy setting device and is used for respectively carrying out similarity analysis on various types of pig body reference patterns and the gamma correction images and outputting the type corresponding to the pig body reference pattern with the highest similarity as the current pig body type;
wherein, in the policy setting device, the lighter the current pig body weight is, the lower the calculated evaluation price of the current pig body is under the condition that the current pig body type is the same;
wherein, in the policy setting device, the lower the current pig body type is under the condition that the current pig body weight is the same, the lower the calculated evaluation price of the current pig body is;
the content segmentation equipment is connected with the embedded camera and used for performing content segmentation on the chassis environment image based on the area of the minimum object in the received chassis environment image to obtain each segmentation sub-image;
the first acquisition equipment is connected with the content segmentation equipment and is used for receiving each segmentation sub-image of the chassis environment image, taking the segmentation sub-image which completely belongs to the image background area in each segmentation sub-image as a target segmentation sub-image, and taking the segmentation sub-image which does not completely belong to the image background area in each segmentation sub-image as a non-target segmentation sub-image;
the second acquisition equipment is connected with the first acquisition equipment and is used for receiving each target segmentation sub-image output by the first acquisition equipment, analyzing the contrast value of each target segmentation sub-image and outputting each contrast value corresponding to each target segmentation sub-image;
the third acquisition equipment is connected with the second acquisition equipment and is used for carrying out mean value calculation on the contrast values which are left after the maximum value and the minimum value are removed in all the contrast values so as to obtain contrast values to be processed;
the data processing device is connected with the third acquisition device and used for executing corresponding image sharpening action on the chassis environment image based on the contrast value to be processed so as to obtain and output a corresponding image to be processed;
in the data processing device, the contrast value to be processed is inversely proportional to the intensity of the corresponding image sharpening action performed on the chassis environment image;
the smaller the area of the minimum object in the received chassis environment image is, the more the content segmentation is performed on the chassis environment image to obtain the number of each segmentation subimage;
the content processing equipment is also connected with a parallel data bus and used for receiving data from the parallel data bus and sending the data to the parallel data bus;
a power supply voltage stabilization device for providing a voltage stabilization operation for a voltage input to the policy setting device or the content processing device;
the strategy setting equipment is internally provided with a timing unit used for providing a reference timing signal for each operation of the strategy setting equipment;
wherein the content processing apparatus includes a signal input unit and a signal output unit, both of which include a ground terminal.
2. A pig body category detection-based price big data evaluation method, which comprises providing a pig body category detection-based price big data evaluation system as claimed in claim 1, for establishing an automatic pricing model based on the current pig body weight and the current pig body category to replace the original manual pricing model.
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