Product dryness assessment and discharge system for solid-liquid separation

Abstract

The application provides a solid-liquid separation finished product dryness and moisture evaluation and discharging system, which comprises an image detection module, a chemical detection module and a discharging amount determination module. The image detection module is used for acquiring a finished product image after solid-liquid separation, analyzing and processing the finished product image, and preliminarily determining a first moisture of the finished product. The chemical detection module is used for determining a solution concentration and a solution volume of a Fehling reagent according to the first moisture of the finished product, detecting water content of the finished product by using the Fehling reagent, and obtaining a second moisture. The discharging amount determination module is used for determining a discharging amount of the finished product according to the second moisture and drying parameters of a drying system. The dryness and moisture of the finished product are determined by image detection and chemical detection before drying of the finished product, so that the discharging amount of the finished product in the discharging system is further determined, the quality of the finished product is ensured, and the drying efficiency and drying quality of the finished product are improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of finished product dryness and humidity evaluation, and particularly relates to a finished product dryness and humidity evaluation and discharging system for solid-liquid separation. BACKGROUND

[0002] Triazole is an organic substance with a chemical formula of C2H3N3, which is widely used in the synthesis of pesticides such as powdery rust, multi-effect azole, enazole, and enazole. It is a white needle-shaped crystal, and the industrial product is a light yellow or brown needle-shaped crystal with strong water absorption.

[0003] One process for making triazole is as follows: 60 kg of formamide is first heated to 175-185 DEG C, and then 30 kg of 80% hydrazine hydrate is slowly added. Dehydration is performed while heating, and after the addition is completed, the finished product is kept at 180-185 DEG C for 30 min to obtain triazole with a yield of 91%. The formamide method is one of the commonly used methods for producing triazole at present.

[0004] Because water vapor is generated during the production of triazole by the formamide method, there is a certain amount of water vapor in the finished product. When the water vapor in the finished product is excessive, it will affect the quality of the triazole produced, so it is necessary to dry the triazole finished product. How to effectively and quickly dry the triazole finished product is closely related to the dryness and humidity of the triazole finished product and the discharging condition in the drying system. Therefore, it is necessary to evaluate the dryness and humidity of the finished product and control the discharging amount of the finished product before drying.

[0005] Therefore, the present application provides a finished product dryness and humidity evaluation and discharging system for solid-liquid separation. SUMMARY

[0006] The present application provides a finished product dryness and humidity evaluation and discharging system for solid-liquid separation, which ensures the quality of the finished product and improves the drying efficiency and quality of the finished product.

[0007] A finished product dryness and humidity evaluation and discharging system for solid-liquid separation, comprising:

[0008] An image detection module for acquiring an image of the finished product after solid-liquid separation, analyzing and processing the image of the finished product, and preliminarily determining the first humidity of the finished product;

[0009] A chemical detection module for determining the solution concentration and solution volume of the Fehling reagent according to the first humidity of the finished product, detecting the water content of the finished product using the Fehling reagent, and obtaining the second humidity;

[0010] A discharging amount determination module for determining the discharging amount of the finished product according to the second humidity and the drying parameters of the drying system.

[0011] Preferably, further comprising a judging module configured to judge the first humidity and determine whether to perform the second humidity detection;

[0012] The judging module comprises:

[0013] a humidity judging unit configured to judge whether the first humidity is less than a preset humidity;

[0014] If yes, the second humidity detection of the finished product is not performed, and the feeding amount of the finished product is determined directly according to the first humidity;

[0015] Otherwise, the second humidity detection of the finished product is performed.

[0016] Preferably, the image detection module comprises:

[0017] an image obtaining unit configured to determine an optimal illumination intensity of the finished product according to sample images of the finished product under different illumination intensities and corresponding image analysis results of the sample images, and obtain a finished product image of the finished product under the optimal illumination intensity;

[0018] an image segmentation unit configured to determine a Gaussian mixture model according to a pixel point set of the finished product image, determine a contrast image of the finished product image under the Gaussian mixture model, and segment a finished product effective image from the contrast image;

[0019] an image clustering unit configured to perform clustering processing on the finished product effective image to obtain a target image, and determine a brightness value and a color value of the target image;

[0020] a humidity detection unit configured to input the brightness value of the target image into a humidity detection model to obtain the first humidity.

[0021] Preferably, the image clustering unit comprises:

[0022] an image conversion unit configured to convert the finished product effective image from an RGB color dimension to a Lab color dimension to obtain the target image;

[0023] a clustering unit configured to obtain an initial clustering center based on density clustering according to a pixel point gray value of the target image, and judge whether a pixel point number of a region corresponding to the clustering center and a distance value of other pixel points from the clustering center exceed preset values, if yes, determine that the initial clustering center is a target clustering center, otherwise, generate a new clustering center according to a preset clustering center refreshing method until the pixel point number and the distance value of the new clustering center satisfy the preset values, and take the new clustering center as the target clustering center;

[0024] The brightness determination unit is configured to determine a first weighting value according to an area size of the cluster region, determine a second weighting value according to a region shape of the cluster region, and determine the brightness value and the color value of the target image based on the region brightness value, the first weighting value and the second weighting value.

[0025] Preferably, the image detection module further comprises a model establishing unit configured to establish the humidity detection model.

[0026] The model establishing unit comprises:

[0027] The relationship determination unit is configured to determine a first corresponding relationship between the spectral reflectivity of the finished product and the water content of the finished product according to the sample composition, determine a second corresponding relationship between the spectral reflectivity of the finished product and the brightness of the sample, and determine an approximate linear relationship between the water content of the finished product and the brightness value of the target image based on the first corresponding relationship and the second corresponding relationship.

[0028] The constraint determination unit is configured to establish a linear regression model based on the approximate linear relationship, determine a constraint coefficient based on the standard brightness value and the standard color value of the target image in the approximate linear relationship as reference parameters and in combination with the model parameters by using a preset loss function, and determine a constraint model based on the constraint coefficient.

[0029] The model integrating unit is configured to add the constraint model into the regression model to obtain the humidity detection model.

[0030] Preferably, the chemical detection module comprises:

[0031] The solution determination unit is configured to determine a first water content of the finished product according to a first humidity of the finished product, determine a solution concentration of the Fehling reagent based on a reaction ratio of the Fehling reagent and water, determine a first water ratio of the finished product according to the first humidity of the finished product, and determine a solution volume of the Fehling reagent based on a solubility of the finished product in the Fehling reagent.

[0032] The simulation detection unit is configured to perform a chemical reaction between the Fehling reagent with the adjusted solution concentration and solution volume and the finished product, and determine a second humidity of the finished product according to a concentration of a reaction product of the reagent after the reaction and a proportional relationship between the reaction product and water.

[0033] Preferably, the feeding amount determination module comprises:

[0034] The reference determination unit is configured to establish a fuzzy control model based on a humidity level of the second humidity, a drying target and a drying parameter, and determine a reference feeding amount of the finished product based on the fuzzy control model.

[0035] The difference determination unit is configured to determine a difference discharge amount of the finished product according to a drying time value corresponding to drying of the same water content with different humidity starting points at a specific scale position of a humidity level corresponding to the second humidity.

[0036] The discharge amount determination unit is configured to determine a final discharge amount of the finished product based on the reference discharge amount and the difference discharge amount.

[0037] Preferably, the reference determination unit comprises:

[0038] The range determination unit is configured to determine a drying standard feature range based on attributes of a plurality of drying features of the finished product after drying according to a drying target, determine humidity levels of different second humidities, and determine an initial feature range of the finished product at the humidity levels.

[0039] The model establishment unit is configured to establish a fuzzy control model based on a fuzzy control rule formulated by taking the drying standard feature range as a fuzzy control quantity, the initial feature range of the finished product as a fuzzy input quantity, and drying area, drying power and primary drying time of the drying system as fuzzy parameters.

[0040] The first determination unit is configured to input the humidity level of the second humidity into the fuzzy control model and output a reference discharge amount.

[0041] Preferably, the difference determination unit comprises:

[0042] The humidity difference determination unit is configured to determine a specific scale position of the second humidity at a humidity level corresponding thereto, and determine a humidity difference input into the fuzzy control model based on the specific scale position.

[0043] The time difference determination unit is configured to determine a drying time value corresponding to drying of the same water content with different humidity starting points according to historical drying detection records, and determine a difference time value based on the specific scale position of the second humidity at a humidity level corresponding thereto and the humidity difference.

[0044] The second determination unit is configured to determine a difference discharge amount corresponding to the difference time value based on the drying power.

[0045] Preferably, the discharge control module is further configured to control a feeding speed of a feeding belt based on the discharge amount.

[0046] The discharge control module comprises:

[0047] The feeding belt unit is sequentially composed of a first variable speed zone, a constant speed zone and a second variable speed zone, and is configured to convey the finished product to a drying area of the drying system.

[0048] The speed determining unit is used for establishing a finished product conveying model according to the feeding belt length, conveying quality of the first variable speed area, the uniform speed area and the second variable speed area, inputting the feeding amount of the drying area to the finished product and the one-time drying time into the finished product conveying model, and outputting a speed set of the first variable speed area and the second variable speed area meeting the requirements;

[0049] The matching unit is used for determining the matching degree between each speed set feeding belt and the drying system, and selecting the speed set with the maximum matching degree as the feeding speed of the first variable speed area and the second variable speed area.

[0050] Other features and advantages of the present application will be set forth in the following description, and in part will become apparent to those skilled in the art from the description, or can be learned by practice of the present application. The objects and other advantages of the present application can be realized and attained by the structure particularly pointed out in the written description, claims, and drawings.

[0051] The technical solutions of the present application will be further described in detail below with the help of the drawings and examples. BRIEF DESCRIPTION OF DRAWINGS

[0052] The accompanying drawings are included to provide a further understanding of the present application, and constitute a part of the specification, illustrate the present application together with the embodiments, and explain the present application, and do not constitute a limitation on the present application. In the drawings:

[0053] Figure 1 It is a structural diagram of a solid-liquid separation finished product dryness and moisture evaluation and feeding system in an embodiment of the present application;

[0054] Figure 2 It is a structural diagram of the image detection module in the embodiment of the present application;

[0055] Figure 3 It is a structural diagram of the feeding amount determination module in the embodiment of the present application. DETAILED DESCRIPTION

[0056] The preferred embodiments of the present application will be described below in combination with the drawings, and it should be understood that the preferred embodiments described herein are only used to illustrate and explain the present application, and do not limit the present application.

[0057] Embodiment 1

[0058] The present application provides a solid-liquid separation finished product dryness and moisture evaluation and feeding system, as shown in Figure 1 It includes:

[0059] The image detection module is used for acquiring the image of the finished product after solid-liquid separation, analyzing and processing the finished product image, and preliminarily determining the first moisture of the finished product;

[0060] a chemical detection module configured to determine a solution concentration and a solution volume of a Fehling reagent according to a first humidity of the product, and to detect a water content of the product by using the Fehling reagent to obtain a second humidity;

[0061] a discharge amount determination module configured to determine a discharge amount of the product according to the second humidity and drying parameters of a drying system.

[0062] In this embodiment, the image detection module determines the first humidity of the product by analyzing features of the product image at different humidities.

[0063] In this embodiment, the Fehling reagent is I2, SO2, C5H5N, or CH3OH.

[0064] In this embodiment, the drying parameters include a drying temperature, a drying area, etc.

[0065] In this embodiment, the second humidity has a higher accuracy than the first humidity.

[0066] The above design has the advantages that the dry and wet humidity of the product is determined by image detection and chemical detection before drying the product, so as to further determine the discharge amount of the product in the discharge system, thereby ensuring the quality of the product and improving the drying efficiency and quality of the product.

[0067] Embodiment 2

[0068] Based on the embodiment 1, the present embodiment provides a solid-liquid separation product dry and wet humidity evaluation and discharge system, characterized in that it further comprises a judgment module configured to judge the first humidity and determine whether to perform second humidity detection.

[0069] The judgment module comprises:

[0070] a humidity judgment unit configured to judge whether the first humidity is less than a preset humidity.

[0071] If yes, the second humidity of the product is not detected, and the discharge amount of the product is directly determined according to the first humidity.

[0072] Otherwise, the second humidity of the product is detected.

[0073] In this embodiment, the first humidity is less than the preset humidity, which means that the humidity of the product is very small and consistent with the minimum humidity range of the drying system, so that further detailed humidity determination is not needed.

[0074] The beneficial effects of the above design scheme are: by first detecting the image of the finished product, obtaining the first humidity, judging the first humidity, and directly using the finished product of the first humidity required by the rent exemption as the parameter for determining the discharge amount, the chemical detection of the finished product is avoided, resources are saved, and the efficiency of the finished product humidity detection is improved, and at the same time, chemical detection is performed on the first humidity that does not meet the requirements, to ensure that the determined second humidity can be used as a parameter for determining the discharge amount.

[0075] Embodiment 3

[0076] Based on the basis of Embodiment 1, the present embodiment provides a solid-liquid separation finished product dryness and humidity evaluation and discharge system, as shown in Figure 2 The image detection module comprises:

[0077] An image acquisition unit is configured to determine the optimal illumination intensity for the finished product according to sample images of the finished product under different illumination intensities and corresponding image analysis results thereof, and acquire a finished product image of the finished product under the optimal illumination intensity.

[0078] An image segmentation unit is configured to determine a Gaussian mixture model according to a pixel point set of the finished product image, determine a contrast image of the finished product image under the Gaussian mixture model, and segment a finished product effective image from the contrast image.

[0079] An image clustering unit is configured to perform clustering processing on the finished product effective image to obtain a target image, and determine a brightness value and a color value of the target image.

[0080] A humidity detection unit is configured to input the brightness value of the target image into a humidity detection model to obtain a first humidity.

[0081] In this embodiment, the Gaussian mixture model uses a weighted sum of multiple Gaussian models to represent a mixture model of data, and the probability density of each model and the weight thereof are used to represent the probability of a pixel point under the Gaussian model distribution. The contrast image after the Gaussian mixture model can effectively segment the effective part of the finished product from the background.

[0082] In this embodiment, the humidity detection model is determined by adding a constraint model to a regression model.

[0083] The beneficial effects of the above design scheme are: by designing the illumination intensity of the finished product image, the relationship between the image brightness value and the humidity is more distinct, by segmenting the finished product image to determine the effective part of the finished product, an accurate area basis is provided for further image detection, by the image clustering unit determining the brightness value of the target image, the accuracy of the brightness value and the color value is ensured, and finally, the first humidity of the finished product is determined according to the humidity detection model established by adding a constraint model to a regression model, to ensure the accuracy of the obtained first humidity.

[0084] Example 4

[0085] Based on Example 3, this embodiment of the invention provides a system for assessing the moisture content and discharging solid-liquid separation products, wherein the image clustering unit includes:

[0086] An image conversion unit is used to convert the finished effective image from the RGB color dimension to the Lab color dimension to obtain the target image;

[0087] The clustering unit is used to obtain initial cluster centers based on density clustering according to the gray values ​​of the pixels of the target image, and to determine whether the number of pixels in the region corresponding to the cluster center and the distance values ​​of other pixels from the cluster center exceed a preset value. If so, the initial cluster center is determined as the target cluster center; otherwise, a new cluster center is generated according to a preset cluster center refresh method until the number of pixels and the distance values ​​of the new cluster center meet the preset value, and the new cluster center is used as the target cluster center.

[0088] The brightness determination unit is used to take the brightness value of the target cluster center as the region brightness value and region color value of the corresponding cluster region, determine a first weighting value based on the area size of the cluster region, determine a second weighting value based on the region shape of the cluster region, and determine the brightness value and color value of the target image based on the region brightness value, the first weighting value and the second weighting value.

[0089] In this embodiment, the rationality of the final target cluster center is ensured by using the number of pixels in the region corresponding to the cluster center and the distance of other pixels from the cluster center as standards.

[0090] In this embodiment, the larger the area of ​​the region, the larger the corresponding first weighted value; the more regular the shape of the region, the larger the corresponding second weighted value.

[0091] In this embodiment, the color value is determined in the Lab color dimension.

[0092] The beneficial effects of the above design scheme are: by converting the image to the Lab color dimension, the color values ​​determined by the image can effectively represent the relationship between the moisture content and color value of the finished product; by clustering the image, the brightness and color values ​​are determined by region, and finally, the brightness and color values ​​of the region are weighted according to the characteristics of the region to ensure the accuracy of the final brightness and color values.

[0093] Example 5

[0094] Based on Example 3, this embodiment of the invention provides a solid-liquid separation finished product moisture assessment and discharge system, wherein the image detection module further includes: a model building unit, used to build the moisture detection model;

[0095] The model building unit includes:

[0096] The relationship determination unit is used to determine a first correspondence between the spectral reflectance of the finished product and the moisture content of the finished product based on the sample composition, determine a second correspondence between the spectral reflectance of the finished product and the brightness of the sample, and determine an approximate linear relationship between the moisture content of the finished product and the brightness value of the target image based on the first and second correspondences.

[0097] The constraint determination unit is used to establish a linear regression model based on the approximate linear relationship, and to use the standard brightness value and standard color value of the target image in the approximate linear relationship as reference parameters, and to determine the constraint coefficients using a preset loss function in combination with the model parameters, and to determine the constraint model based on the constraint coefficients.

[0098] The model integration cell is used to add the constraint model to the regression model to obtain the humidity detection model.

[0099] In this embodiment, the loss function is preset.

[0100] The beneficial effects of the above design scheme are: by using a regression model based on the approximate linear relationship between the moisture content of the finished product and the brightness value of the target image, and by using the standard brightness value and standard color value of the target image to design constraint coefficients based on the regression model, a humidity detection model is finally obtained, ensuring the accuracy of the humidity detection model.

[0101] Example 6

[0102] Based on Example 1, this embodiment of the invention provides a system for assessing the moisture content and discharging solid-liquid separated finished products. The chemical detection module includes:

[0103] The solution determination unit is used to determine the first water content of the finished product based on the first humidity of the finished product, determine the solution concentration of the Fischer reagent based on the reaction ratio of the Fischer reagent and water, determine the first water ratio of the finished product based on the first humidity of the finished product, and determine the solution volume of the Fischer reagent based on the solubility of the finished product in the Fischer reagent.

[0104] The simulation detection unit is used to react the Fischer reagent, which has been adjusted according to the solution concentration and volume, with the finished product. Based on the concentration of the reagent products after the reaction and their ratio with water, the second humidity of the finished product is determined.

[0105] The beneficial effects of the above design scheme are: based on the first humidity, the reasonable concentration and volume of the Fischer reagent are designed to avoid waste due to too much reagent and inaccurate detection due to too little reagent, ensuring the efficiency and accuracy of the reaction detection with the finished product, and making the obtained second humidity more accurate.

[0106] Example 7

[0107] Based on Example 1, this embodiment of the invention provides a system for assessing the moisture content and discharging solid-liquid separated finished products, such as... Figure 3 As shown, the material discharge quantity determination module includes:

[0108] The benchmark determination unit is used to establish a fuzzy control model based on the humidity level of the second humidity, the drying target and the drying parameters, and to determine the benchmark feed amount of the finished product based on the fuzzy control model.

[0109] The difference determination unit is used to determine the difference feed amount of the finished product based on the specific scale position of the second humidity at the corresponding humidity level, combined with the drying time value corresponding to drying the same water content at different humidity starting points.

[0110] The material feeding quantity determination unit is used to determine the final material feeding quantity of the finished product based on the benchmark material feeding quantity and the differential material feeding quantity.

[0111] In this embodiment, the reference determination unit includes:

[0112] The range determination unit determines multiple drying characteristics of the finished product after drying based on the drying target, determines the standard drying characteristic range based on the attributes of the multiple drying characteristics, determines different humidity levels of the second humidity, and determines the initial characteristic range of the finished product under the humidity level.

[0113] The model building unit is used to formulate fuzzy control rules based on the drying standard feature range as the fuzzy control quantity, the initial feature range of the finished product as the fuzzy input quantity, and the drying area, drying power and one drying time of the drying system as fuzzy parameters, and to build a fuzzy control model based on the fuzzy control rules.

[0114] The first determining unit inputs the humidity level of the second humidity into the fuzzy control model and outputs the baseline feed rate.

[0115] In this embodiment, the difference determination unit includes:

[0116] A humidity difference determination unit is used to determine the specific scale position of the second humidity at the corresponding humidity level, and to determine the humidity difference with the input of the fuzzy control model based on the specific scale position.

[0117] The time difference determination unit is used to determine the drying time value corresponding to drying the same water content at different humidity starting points based on historical drying test records, and to determine the difference time value based on the specific scale position and humidity difference of the second humidity at the corresponding humidity level.

[0118] The second determining unit is used to determine the differential discharge amount corresponding to the differential time value based on the drying power.

[0119] The beneficial effects of the above design scheme are: by establishing a fuzzy control model to initially determine the feeding amount, and then by combining the precise value of the second humidity with the time characteristics, the precise feeding amount can be further determined, which not only ensures the quality of the finished product, but also improves the drying efficiency and drying quality of the finished product.

[0120] Example 8

[0121] Based on Example 7, this embodiment of the invention provides a system for assessing the moisture content and discharging solid-liquid separation finished product. The benchmark determination unit includes:

[0122] The range determination unit determines multiple drying characteristics of the finished product after drying based on the drying target, determines the standard drying characteristic range based on the attributes of the multiple drying characteristics, determines different humidity levels of the second humidity, and determines the initial characteristic range of the finished product under the humidity level.

[0123] The model building unit is used to formulate fuzzy control rules based on the drying standard feature range as the fuzzy control quantity, the initial feature range of the finished product as the fuzzy input quantity, and the drying area, drying power and one drying time of the drying system as fuzzy parameters, and to build a fuzzy control model based on the fuzzy control rules.

[0124] The first determining unit inputs the humidity level of the second humidity into the fuzzy control model and outputs the baseline feed rate.

[0125] In this embodiment, the drying of the finished product under the drying target can take multiple forms. As long as one of the forms is waived, the drying can be completed. The standard characteristic range of drying is the range of the combination of characteristics corresponding to multiple forms, and the initial characteristic range of the finished product is also the same.

[0126] The beneficial effects of the above design scheme are: by establishing a fuzzy control model based on the drying target and the characteristics of the initial finished product, the amount of finished product to be fed can be initially determined. Fuzzy control rules are formulated based on the drying area, drying power and drying time of the drying system as fuzzy parameters to ensure that the initial amount of finished product output corresponds to the drying system and meets the actual drying process.

[0127] Example 9

[0128] Based on Example 8, this embodiment of the invention provides a system for assessing and discharging the moisture content of a solid-liquid separated product, wherein the difference determination unit includes:

[0129] A humidity difference determination unit is used to determine the specific scale position of the second humidity at the corresponding humidity level, and to determine the humidity difference with the input of the fuzzy control model based on the specific scale position.

[0130] The time difference determination unit is used to determine the drying time value corresponding to drying the same water content at different humidity starting points based on historical drying test records, and to determine the difference time value based on the specific scale position and humidity difference of the second humidity at the corresponding humidity level.

[0131] The second determining unit is used to determine the differential discharge amount corresponding to the differential time value based on the drying power;

[0132] The formula for calculating the differential feed rate is as follows:

[0133]

[0134] Where k represents the differential feed rate, P represents the drying power, t represents the differential time value, n represents the humidity node, and W i Δδ represents the work done by the drying system to dry one unit of humidity using the humidity value of the i-th humidity node, and Δδ represents the unit feed rate.

[0135] In this embodiment, when the finished product is dried, for example under the same conditions, it takes 3 minutes to dry from 50% humidity to 40% humidity, and 5 minutes to dry from 40% humidity to 30% humidity.

[0136] In this embodiment, the humidity level corresponds to a humidity range. To accurately determine the feed rate corresponding to the second humidity level, it is necessary to perform a precise analysis of the humidity at the humidity level.

[0137] The beneficial effects of the above design scheme are: by accurately analyzing the second humidity and determining the difference in feed amount based on the drying time value corresponding to drying the same water content at different humidity starting points, the optimal feed amount for the final product is guaranteed, which not only ensures the quality of the finished product, but also improves the drying efficiency and drying quality of the finished product.

[0138] Example 10

[0139] Based on Embodiment 1, this embodiment of the invention provides a solid-liquid separation finished product dryness assessment and feeding system, which further includes: a feeding control module for controlling the feeding speed of the feeding belt based on the feeding amount;

[0140] The material feeding control module includes:

[0141] The feeding belt unit consists of a first speed-changing zone, a constant speed zone, and a second speed-changing zone, and is used to convey the finished product to the drying area of ​​the drying system.

[0142] The speed determination unit is used to establish a finished product conveying model based on the length and conveying quality of the feeding belt in the first speed change zone, the constant speed zone, and the second speed change zone. The unit also inputs the amount of finished product discharged from the drying zone and the drying time of one cycle into the finished product conveying model and outputs a set of speeds for the first and second speed change zones that meet the requirements.

[0143] The matching unit is used to determine the matching degree between the feeding belt and the drying system under each speed set, and selects the speed set with the largest matching degree as the feeding speed of the first speed change zone and the second speed change zone.

[0144] The formula for calculating the matching degree between the speed-integrated feeding belt and the drying system is as follows:

[0145]

[0146] Where γ represents the matching degree between the feeding belt and the drying system under this speed set, v1 represents the speed of the first variable speed zone, v2 represents the speed of the second variable speed zone, v0 represents the speed of the constant speed zone, s1 represents the length of the feeding belt in the first variable speed zone, s2 represents the length of the feeding belt in the second variable speed zone, s0 represents the length of the feeding belt in the constant speed zone, and t0 represents the drying time of the drying system in one cycle.

[0147] In this embodiment, multiple speed combinations of the first and second speed zones can be used to control the amount of finished product fed.

[0148] The beneficial effects of the above design scheme are: by determining the matching degree between the feeding belt and the drying system based on the speed and length of the first speed change zone, the constant speed zone, and the second speed change zone, the set of speeds with the largest matching degree is selected as the feeding speed of the first speed change zone and the second speed change zone, thus realizing precise control of the finished product feeding amount by adjusting the speed, and improving the drying efficiency and drying quality of the finished product.

[0149] Obviously, those skilled in the art can make various modifications and variations to this invention without departing from its spirit and scope. Therefore, if these modifications and variations fall within the scope of the claims of this invention and their equivalents, this invention also intends to include these modifications and variations.

Claims

1. A solid-liquid separation product dryness assessment and discharge system, characterized in that, The method comprises the following steps: An image detection module is configured to acquire an image of a finished product after solid-liquid separation, analyze and process the image of the finished product, and preliminarily determine a first humidity of the finished product, including: An image acquisition unit is configured to determine an optimal illumination intensity for the finished product according to sample images of the finished product under different illumination intensities and corresponding image analysis results of the sample images, and acquire an image of the finished product under the optimal illumination intensity; An image segmentation unit is configured to determine a Gaussian mixture model according to a set of pixel points of the image of the finished product, determine a contrast image of the image of the finished product under the Gaussian mixture model, and segment a finished product effective image from the contrast image; An image clustering unit is configured to perform clustering processing on the finished product effective image to obtain a target image, and determine a brightness value and a color value of the target image; A humidity detection unit is configured to input the brightness value of the target image into a humidity detection model to obtain the first humidity, and determine whether to perform detection of a second humidity based on the first humidity; A chemical detection module is configured to determine a solution concentration and a solution volume of a Fehling reagent based on the first humidity of the finished product, perform water content detection on the finished product by using the Fehling reagent, and obtain the second humidity; A discharge amount determination module is configured to determine a discharge amount of the finished product based on the second humidity and drying parameters of a drying system, including: A reference determination unit is configured to establish a fuzzy control model based on a humidity level of the second humidity, a drying target, and drying parameters, and determine a reference discharge amount of the finished product based on the fuzzy control model; A difference determination unit is configured to determine a difference discharge amount of the finished product based on a specific scale position of the second humidity in a corresponding humidity level, and a drying time value corresponding to drying of the same water content from different humidity starting points, including: A humidity difference determination unit is configured to determine the specific scale position of the second humidity in the corresponding humidity level, and determine a humidity difference input into the fuzzy control model based on the specific scale position; A time difference determination unit is configured to determine the drying time value corresponding to drying of the same water content from different humidity starting points based on historical drying detection records, and determine a difference time value based on the specific scale position of the second humidity in the corresponding humidity level and the humidity difference; A second determination unit is configured to determine a difference discharge amount corresponding to the difference time value based on a drying power; A discharge amount determination unit is configured to determine a final discharge amount of the finished product based on the reference discharge amount and the difference discharge amount, and control a feeding speed of a feeding belt based on the discharge amount.

2. The solid-liquid separation product moisture evaluation and discharge system according to claim 1, wherein, Further comprising a judgment module configured to determine whether to perform detection of the second humidity based on the first humidity; The judgment module includes: A humidity judgment unit is configured to determine whether the first humidity is less than a preset humidity; If yes, the second humidity of the finished product is not detected, and the discharge amount of the finished product is determined based on the first humidity; Otherwise, the second humidity of the finished product is detected.

3. The solid-liquid separation finished product dryness evaluation and discharge system according to claim 1, characterized in that, The image clustering unit includes: An image conversion unit is configured to convert the finished product effective image from an RGB color dimension to a Lab color dimension to obtain the target image; The clustering unit is configured to obtain initial clustering centers based on density clustering according to pixel grayscale values of the target image, and determine whether the number of pixel points in a region corresponding to the clustering center and the distance value of other pixel points from the clustering center exceed preset values. If yes, the initial clustering center is determined as a target clustering center. Otherwise, a new clustering center is generated according to a preset clustering center refreshing method until the number of pixel points and the distance value of the new clustering center satisfy the preset values, and the new clustering center is taken as the target clustering center. The brightness determination unit is configured to take the brightness value of the target clustering center as a region brightness value and a region color value of the corresponding clustering region, determine a first weighting value according to the area size of the clustering region, determine a second weighting value according to the region shape of the clustering region, and determine the brightness value and the color value of the target image based on the region brightness value, the first weighting value and the second weighting value.

4. The solid-liquid separation finished product dryness evaluation and discharge system according to claim 1, characterized in that, The image detection module further includes a model establishing unit configured to establish the humidity detection model. The model establishing unit includes: The relationship determination unit is configured to determine a first corresponding relationship between the spectral reflectance of the finished product and the water content of the finished product, determine a second corresponding relationship between the spectral reflectance of the finished product and the brightness of the sample, and determine an approximate linear relationship between the water content of the finished product and the brightness value of the target image based on the first corresponding relationship and the second corresponding relationship. The constraint determination unit is configured to establish a linear regression model based on the approximate linear relationship, take the standard brightness value and the standard color value of the target image in the approximate linear relationship as reference parameters, combine model parameters, determine a constraint coefficient by using a preset loss function, and determine a constraint model based on the constraint coefficient. The model integrating unit is configured to add the constraint model to the regression model to obtain the humidity detection model.

5. The solid-liquid separation finished product moisture content evaluation and discharge system according to claim 1, characterized in that, The chemical detection module includes: The solution determination unit is configured to determine a first water content of the finished product according to a first humidity of the finished product, determine a solution concentration of the Fehling reagent according to a reaction ratio of the Fehling reagent and water, determine a first water ratio of the finished product according to the first humidity of the finished product, and determine a solution volume of the Fehling reagent according to a solubility of the finished product in the Fehling reagent. The simulation detection unit is configured to perform a chemical reaction between the Fehling reagent with the adjusted solution concentration and solution volume and the finished product, and determine a second humidity of the finished product according to a concentration of a reaction product of the reagent after the reaction and a proportional relationship between the reaction product and water.

6. The solid-liquid separation finished product moisture content evaluation and discharge system according to claim 1, characterized in that, The reference determination unit includes: The range determination unit is configured to determine a plurality of drying characteristics of the finished product after drying according to a drying target, determine a drying standard characteristic range based on attributes of the plurality of drying characteristics, determine humidity levels of different second humidities, and determine initial characteristic ranges of the finished product under the humidity levels. The model establishing unit is configured to establish a fuzzy control model based on a fuzzy control rule formulated by taking the drying standard characteristic range as a fuzzy control quantity, taking the initial characteristic ranges of the finished product as fuzzy input quantities, and taking a drying area, a drying power and a first drying time of a drying system as fuzzy parameters. The first determination unit is configured to input the humidity levels of the second humidities into the fuzzy control model to output a reference discharging amount.

7. The solid-liquid separation product moisture evaluation and discharge system of claim 1, wherein, The method further includes: A feeding control module is configured to control a feeding speed of the feeding belt based on the feeding amount; The feeding control module comprises: A feeding belt unit, which is sequentially composed of a first variable-speed zone, a constant-speed zone and a second variable-speed zone, and is configured to convey the finished products to a drying area of the drying system; A speed determination unit, which is configured to establish a finished product conveying model according to the feeding belt length of the first variable-speed zone, the constant-speed zone and the second variable-speed zone and the conveying quality, input the feeding amount of the drying area to the finished products and the one-time drying time into the finished product conveying model, and output a speed set of the first variable-speed zone and the second variable-speed zone meeting the requirements; A matching unit, which is configured to determine a matching degree between the feeding belt of each speed set and the drying system, and select a speed set with the largest matching degree as the feeding speed of the first variable-speed zone and the second variable-speed zone.

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