CN-122022780-A - Environment-friendly waste plastic recycling method and system

CN122022780ACN 122022780 ACN122022780 ACN 122022780ACN-122022780-A

Abstract

The invention belongs to the technical field of waste plastic recovery, and discloses a method and a system for recycling and treating waste plastic for environmental protection; the system comprises a flow data acquisition module, a dynamic data acquisition module, a characteristic data processing module, a prediction qualified value reference value generation module, an abnormal work material processing module, a decision assistance module and a report transmission module, wherein the flow data set and the dynamic data set are preprocessed to obtain total characteristic data, the flow data set, the dynamic data set and the total characteristic data are analyzed, the prediction qualified reference value is obtained through output, the flow data set, the dynamic data set and the prediction qualified reference value are analyzed, and a rejection processing report is obtained.

Inventors

CHEN HONGSEN
CAO WENBO
YANG CHUNXI
JIANG WEI

Assignees

广东晟科环保科技有限公司

Dates

Publication Date: 20260512
Application Date: 20260120

Claims (10)

1. The environment-friendly waste plastic recycling system is characterized by comprising a flow data acquisition module, a dynamic data acquisition module, a characteristic data processing module, a predicted qualified value reference value generation module, an abnormal work material processing module, a decision assistance module and a report transmission module, wherein: The process data acquisition module is used for acquiring a process data set, wherein the process data set comprises plastic class data, recovery standard data, equipment operation data and emission constraint data; the dynamic data acquisition module is used for acquiring a dynamic data set, wherein the dynamic data set comprises impurity content data and environmental humidity data; The characteristic data processing module is used for preprocessing the flow data set and the dynamic data set to obtain total characteristic data; the prediction qualified reference value generation module is used for analyzing the flow data set, the dynamic data set and the total characteristic data and outputting to obtain a prediction qualified reference value; The abnormal work material processing module is used for analyzing the flow data set, the dynamic data set and the predicted qualified reference value to obtain a rejection processing report; the decision-making auxiliary module is used for analyzing the predicted qualified reference value to obtain a dynamic data set adjustment report; And the report conveying module is used for summarizing and obtaining a comprehensive data report, outputting the comprehensive data report and storing the comprehensive data report in a database.
2. The system for recycling waste plastic in environment protection of claim 1, wherein the means for preprocessing the flow data set and the dynamic data set comprises: The normalization processing is carried out on the flow data set and the dynamic data set, and the specific calculation formula of normalization is as follows: ; Obtaining impurity content data , wherein, As a result of the initial impurity content data, To recycle standard data; ; obtaining environmental temperature data , wherein, Is initial ambient humidity data; extracting characteristic data of the flow data set and the dynamic data set, wherein the specific calculation formula of the characteristic extraction is as follows: ; Obtaining total characteristic data , wherein, And Respectively corresponding weight factors and is satisfied with 。
3. The system for recycling and processing waste plastic for environmental protection according to claim 1, wherein the prediction pass reference value generating module further comprises a historical data scheduling module, a model building module and a data output module, wherein: the historical data scheduling module is used for scheduling a historical flow data set, a historical dynamic data set, historical total characteristic data and a historical actual qualified reference value which are stored in a database; The model building module is used for supporting a system to build a model required by the system; And the data output module is used for transmitting the prediction qualified reference value.
4. A recycling system for waste plastics in environmental protection according to claim 3, wherein the step of analyzing the flow data set, the dynamic data set and the total characteristic data comprises: Firstly, a group of historical flow data sets, historical dynamic data sets and historical total characteristic data stored in a database are called based on a historical data scheduling module, the historical flow data sets, the historical dynamic data sets and the historical total characteristic data are aligned based on time stamps, grouping marking is carried out, marking results are R1, R2, R3, rn, and marking results are used as sample sets; dividing a sample set into a training set of 70%, a test set of 15% and a verification set of 15% based on a model building module, and building an initial classification prediction model; Step three, substituting the calculation formula: Obtaining an initial prediction qualified reference value , wherein, For the device to operate on the data, In order to discharge the constraint data, In order to be an intercept term, 、、 And Respectively corresponding regression coefficients; step four, based on a historical data scheduling module, a group of historical practical qualified reference values corresponding to the marking result are called, and when the absolute value of subtracting the practical qualified reference value from the initial predicted qualified reference value is more than or equal to 10%, a correction flow is triggered; Step five, based on the correction flow in the step four, the method specifically comprises the steps of adding a new flow data set, a dynamic data set, total characteristic data and an actual qualified reference value of a new batch into a training set, and re-fitting regression coefficients 、、、 And And fitting the regression coefficient 、、、 And Updating to the calculation in the third step to replace the regression coefficient which is not re-fitted 、、、 And ; Step six, based on the step five, when the absolute value of the initial predicted qualified reference value minus the actual qualified reference value is less than 10%, obtaining a classification prediction model; and step seven, inputting the flow data set, the dynamic data set and the total characteristic data into a classification prediction model, outputting to obtain a prediction qualified reference value, and outputting the prediction qualified reference value to an abnormal work material processing module based on a data output module.
5. An environmentally friendly waste plastic recycling system according to claim 4, wherein the regression coefficients are re-fitted 、、 And The specific modes of (a) include: constructing a design matrix and a response vector, and solving coefficient vectors, wherein the specific construction formula of the design matrix is as follows: ; Wherein, the In order to be able to use the amount of data in the history, The new data quantity is added; the specific construction formula of the response vector is as follows: ; Wherein, the Is an actual qualified reference value; the specific calculation formula for solving the coefficient vector is as follows: ; Wherein the coefficient vector Comprises 、、、 And , In order to design a transpose of the matrix, Is a matrix Is a matrix of inverse of (a).
6. The system of claim 1, wherein the means for analyzing the flow data set, the dynamic data set and the predicted pass reference value comprises: Judging recovery standard data in the flow data set, impurity content data in the dynamic data set and a predicted qualified reference value, so as to obtain a waste plastic batch which does not meet the judgment standard, and further obtain a rejection processing report; the specific judging formulas for judgment are respectively as follows: And ; Wherein, the Is the first Standard qualification reference values for waste plastic products.
7. The system for recycling waste plastic for environmental protection according to claim 1, wherein the specific means for analyzing the predicted pass reference value comprises: By comparing the predicted qualified reference values, whether to trigger a dynamic data set adjustment decision is selected, when the predicted qualified reference values are more than or equal to 90%, the dynamic data set adjustment decision is not processed, and when the predicted qualified reference values are less than 90%, the dynamic data set adjustment decision is triggered, wherein the adjustment decision comprises an impurity content upper limit adjustment report and a suggested humidity adjustment report, and the specific calculation formula of the impurity content upper limit adjustment report is as follows: ; Obtaining an impurity content upper limit adjustment report , wherein, A qualified reference value is predicted; the specific calculation formula of the suggested humidity adjustment report is: ; Get suggested humidity adjustment report , wherein, For the amount of humidity adjustment, Adjusting the direction for the suggested humidity; and packaging the impurity content upper limit adjustment report and the suggested humidity adjustment report to obtain a dynamic data set adjustment report.
8. The recycling system for waste plastics in environment protection according to claim 7, wherein the specific calculation formula of the humidity adjustment amount is: ; Wherein, the To adjust the coefficients.
9. The system for recycling waste plastic in environment protection of claim 1, wherein the means for collecting the integrated data report comprises: packaging a flow data set, a dynamic data set, total feature data, a prediction qualified reference value and a dynamic data set adjustment report to obtain an initial comprehensive data report; Identifying the number of the waste plastic batch with the reject processing report and the identification time stamp, and integrating the number and the identification time stamp into an initial comprehensive data report to obtain a comprehensive data report; sending the comprehensive data report to a worker receiving end according to the fixed template; Outputting a dynamic data set adjustment report to a dynamic data acquisition module; the integrated data report is stored in a database according to the time stamp.
10. An environmental protection waste plastic recycling method, which is realized by the environmental protection waste plastic recycling system according to any one of claims 1-9, and is characterized by comprising the following working steps: S1, collecting a flow data set, wherein the flow data set comprises plastic class data, recycling standard data, equipment operation data and emission constraint data; S2, collecting a dynamic data set, wherein the dynamic data set comprises impurity content data and environmental humidity data; s3, preprocessing a flow data set and a dynamic data set to obtain total characteristic data; S4, analyzing the flow data set, the dynamic data set and the total characteristic data, and outputting to obtain a prediction qualified reference value; s5, analyzing the flow data set, the dynamic data set and the predicted qualified reference value to obtain a reject processing report; s6, analyzing the predicted qualified reference value to obtain a dynamic data set adjustment report; And S7, summarizing to obtain a comprehensive data report, and outputting and storing the comprehensive data report in a database.

Description

Environment-friendly waste plastic recycling method and system Technical Field The invention relates to the technical field of waste plastic recovery, in particular to a method and a system for recycling and treating waste plastic for environmental protection. Background The plastic is a material made of high molecular polymer, has the characteristics of portability, durability and strong plasticity, is widely applied to daily life and industrial fields, such as packaging, containers, electronic products, building materials and the like, has various types of plastics, including polyethylene, polypropylene, polyvinyl chloride and the like, has unique properties and purposes, is widely used in our daily life by virtue of various unique excellent properties of the plastic, is difficult to degrade and easily pollutes the environment, and is easily recycled by simply classifying the waste plastic according to the materials, and then crushing the waste plastic into plastic particles through relevant mechanical equipment so as to achieve the aim of secondary use. The patent with the application publication number of CN113650287A discloses a 3D printer which uses waste plastics as printing materials to recycle the waste plastics, and uses the waste plastics as the printing materials to recycle the waste plastics, compared with the traditional 3D printer, the printing materials of the 3D printer can be obtained from the waste plastics anytime and anywhere, the material cost is low, and meanwhile, the random throwing of the waste plastics is reduced, so that the purposes of saving energy and protecting environment and realizing economic benefit are achieved, the purposes of recycling the waste plastics as the 3D printing materials are achieved, the recycling of waste beverage bottles, waste 3D printing consumables and the like is realized, the designed three-dimensional shape and structure are printed by using the waste plastics as raw materials in a 3D mode, toxic gas generated in the melting process of the waste plastics is processed, the harmless emission standard is reached, the recycling of the waste plastics is realized, and the 'self-color pollution' is changed into 'green resource' is effectively tried. However, the above-mentioned 3D printer that uses waste plastics as printing material realizes waste plastics recycle, though regard waste plastics as printing material, reach energy-concerving and environment-protective and realize economic benefits's purpose, but in waste plastics's recovery processing in-process, the impurity that contains in the waste plastics extremely easily influences subsequent processing quality, if contain impurity too much in the waste plastics, can directly lead to the processing product disqualification, thereby directly influence the economic benefits of enterprise, and in the course of working, ambient humidity is insufficient can lead to melting inefficiency, and ambient humidity is too high then can lead to impurity adhesion such as dust, and then influence processingquality, therefore how effectively to realize effective classification and the regulation to waste plastics in waste plastics's recovery processing in-process, the economic benefits of enterprise and user's safety in utilization are directly related to. In view of the above, the present invention provides a method and a system for recycling and treating waste plastics for environmental protection to solve the above problems. Disclosure of Invention In order to overcome the above drawbacks of the prior art, the present invention provides the following technical solutions, including: The process data acquisition module is used for acquiring a process data set, wherein the process data set comprises plastic class data, recovery standard data, equipment operation data and emission constraint data; the dynamic data acquisition module is used for acquiring a dynamic data set, wherein the dynamic data set comprises impurity content data and environmental humidity data; The characteristic data processing module is used for preprocessing the flow data set and the dynamic data set to obtain total characteristic data; Further, the manner of preprocessing the flow data set and the dynamic data set includes: The normalization processing is carried out on the flow data set and the dynamic data set, and the specific calculation formula of normalization is as follows: ; Obtaining impurity content data , wherein,As a result of the initial impurity content data,To recycle standard data; ; obtaining environmental temperature data , wherein,Is initial ambient humidity data; extracting characteristic data of the flow data set and the dynamic data set, wherein the specific calculation formula of the characteristic extraction is as follows: ; Obtaining total characteristic data , wherein,AndRespectively corresponding weight factors and is satisfied with; The prediction qualified reference value generation module is used for analyzing th