Raw material conveying intelligent control system for packaging film production

Abstract

The invention relates to the technical field of intelligent raw material conveying control, in particular to an intelligent raw material conveying control system for packaging film production, which comprises a data acquisition module, a raw material analysis module, a proportion verification module, a control module and a database. According to the invention, the raw material information parameters are analyzed to obtain the corresponding state information of each mixed raw material, the state information is analyzed, the corresponding state information of each mixed raw material is analyzed to obtain the matching state of each mixed raw material, and then the matching state of each mixed raw material is analyzed to obtain the corresponding control information. The mixing process is scheduled through the control system, accurate control over the running state is increased, the influence of human factors is avoided, control information obtained through analysis of the proportion verification module is analyzed, corresponding control operation is executed, and the control efficiency is improved. Based on the control information, the operation processes of increasing the mixing and stirring time, adding the additive, adjusting the proportion and the like are accurately executed, and the product quality stability is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent control of raw material transportation, and in particular to an intelligent control system for raw material transportation used in packaging film production. Background Art

[0002] Food packaging film is a polymer material used to wrap the surface of food, mainly to isolate and decompose the entry of microorganisms, bacteria and foreign pollutants, and prevent and prolong the deterioration of food. Intelligent raw material transportation mainly involves the use of advanced automation technology, information technology and intelligent algorithms in the raw material transportation process to achieve optimized control, real-time monitoring and intelligent decision-making of the raw material transportation process.

[0003] At present, although the raw material conveying process of packaging film is usually completed automatically by controlling mechanical equipment through a control system, it is still necessary to manually monitor the operating status of the mixer to ensure that the raw materials are evenly mixed, and to add stabilizers, plasticizers and other additives as needed to improve the performance and quality of the film. Therefore, due to human factors, the judgment of the operating status may be inaccurate, or the amount of additives added may not be precisely controlled, which will affect the quality and performance stability of the product and be inefficient. Summary of the invention

[0004] The present invention provides an intelligent control system for raw material transportation for packaging film production, which is used to solve the above-mentioned technical problems.

[0005] The first aspect of the present invention provides an intelligent control system for raw material transportation for packaging film production, comprising:

[0006] The data acquisition module is used to collect the raw material information data transported by each conveying equipment and send the raw material information data to the database; the raw material information parameters include the physical properties and chemical properties of each raw material.

[0007] The ratio analysis module is used to analyze the raw material information parameters to obtain the corresponding status information of each mixed raw material and send the status information to the database. Specifically, the corresponding component raw materials of the mixed raw materials are extracted from the database and the corresponding raw material parameters of each component raw material are extracted, and the physical properties corresponding to the component raw materials are analyzed based on the raw material parameters, and the raw material density and particle size of the component raw materials are obtained through sensors; a raw material reference density is set, and the raw material density of the current component raw material is compared with the raw material reference density to obtain the density difference; similarly, the particle size difference of the particle size is obtained, and the density difference and the particle size difference are added to obtain the physical property influence value.

[0008] The chemical properties corresponding to the constituent raw materials are analyzed based on the raw material parameters, and the element types, element contents and pH values ​​of each constituent raw material are obtained through spectral analysis. The element types, element contents and pH values ​​of each constituent raw material are comprehensively analyzed to obtain the chemical property influence values ​​of the chemical properties corresponding to the constituent raw materials.

[0009] The physical property influence values ​​and the chemical property influence values ​​are added together to obtain the comprehensive quality parameters of the corresponding constituent raw materials of each mixed raw material, and the quality parameter threshold of the qualified raw materials is set. The comprehensive quality parameters of the corresponding constituent raw materials of each mixed raw material are compared with the quality parameter threshold. If the comprehensive quality parameter is greater than the quality parameter threshold, the unqualified ratio is used as the corresponding status information, and the status information is sent to the database.

[0010] As a preferred embodiment of the present invention, a comprehensive analysis is performed on the element types, element contents and pH values ​​of the respective constituent raw materials. The specific analysis method is as follows:

[0011] Set the reference element type corresponding to each component raw material, compare the element type of the current component element with the reference element type, record the elements within the non-reference element type as impurity elements, and obtain the number of impurity elements by counting; extract the element content corresponding to each component element, set the element content range of each component element, match the element content corresponding to each component element with the element content range of each component element, record the component elements exceeding the element content range as unqualified elements and obtain the number of unqualified elements by counting; extract the pH of each component raw material, set the reference pH of each component raw material, compare the pH of each component raw material with the reference pH to obtain the pH difference.

[0012] The number of impurity elements, the number of unqualified elements and the pH difference are normalized and their numerical values ​​are taken; the chemical property influence value HX of the chemical property corresponding to the constituent raw materials is obtained using the formula HX=ZY×a1+BY×a2+SZ×a3; wherein ZY, BY, SZ represent the number of impurity elements, the number of unqualified elements and the pH difference, respectively; a1, a2 and a3 are all preset weight factors; the values ​​are 0.59, 0.13, 0.28, respectively.

[0013] The ratio verification module is used to analyze the corresponding state information of each mixed raw material to obtain the ratio state of the mixed raw material, and to analyze the ratio state of each mixed raw material to obtain corresponding control information.

[0014] As a preferred embodiment of the present invention, the state information corresponding to the mixed raw materials is analyzed, and the specific analysis method is as follows:

[0015] Based on the state information of the mixed raw materials, the corresponding state information of the mixed raw materials is obtained. If the state information is that the ratio is unqualified, the image information and functional information of the mixed raw materials are collected by the collector, and the image information is analyzed: the image information includes impurity phenomenon, stratification phenomenon and precipitation phenomenon; based on the image information of the current mixed raw materials, the qualified image performances of multiple mixed raw materials are obtained, and the qualified image performances of multiple mixed raw materials are overlapped and compared to obtain the reference image performance, and the image information of the current mixed raw materials is overlapped and compared with the reference image information to obtain the number of impurity phenomena of the current mixed raw materials, and the number of stratification phenomena and precipitation phenomena are obtained in the same way; using the formula The image quality parameter η is obtained; wherein Z, F, and C represent the number of impurity phenomena, the number of stratification phenomena, and the number of precipitation phenomena, respectively; Z', F', and C' represent the reference number of impurity phenomena, the reference number of stratification phenomena, and the reference number of precipitation phenomena, respectively; b1, b2, and b3 are all preset weight factors; and their values ​​are 0.32, 0.45, and 0.23, respectively.

[0016] As a preferred embodiment of the present invention, the functional information of the current mixed raw material is analyzed, and the specific analysis method is as follows:

[0017] Functional information includes barrier parameters, stress parameters and toxicological parameters; a certain amount of experimental gas is passed through the mixed raw material, the content of the escaped gas passing through the mixed raw material is obtained through a sensor, and the escaped gas content is compared with the experimental gas content to obtain the barrier parameters of the current mixed raw material; a reference height is set, the mixed raw material is pulled to the reference height through a mechanical device, and the corresponding tension is collected through a sensor, and a tension reference value is set, and the current tension is compared with the tension reference value to obtain the stress parameters of the current mixed raw material; the toxic gas content of the current mixed raw material is obtained through a sensor, a toxic content threshold is set, and the current toxic gas content is compared with the toxic content threshold to obtain the toxicological parameters of the current mixed raw material; the barrier parameters, stress parameters and toxicological parameters are added and summed to obtain the functional quality parameters.

[0018] The image performance quality parameters and functional quality parameters of the current mixed raw material are extracted, the image quality reference value is set, and the image performance quality parameters are compared with the image quality reference threshold. If the image performance quality parameter is greater than the image quality reference threshold, the image information of the current mixed raw material is recorded as an image abnormality; similarly, the functional abnormality corresponding to the functional information of the current mixed raw material is obtained; and the corresponding control information is obtained according to the image abnormality and the functional abnormality and uploaded to the control module.

[0019] The control module is used to analyze the control information obtained by the ratio verification module and perform corresponding control operations. For example, if the image information of the mixed raw materials is an image abnormality, the corresponding number of impurity phenomena, stratification phenomena and precipitation phenomena are obtained through the image abnormality, and corresponding control operations are performed according to the current abnormal image abnormality, such as increasing the mixing and stirring time, adding additives and adjusting the ratio.

[0020] The database is used to store raw material information parameters and the corresponding status information of each mixed raw material.

[0021] Compared with the prior art, the technical solution provided by the present invention has the following beneficial effects:

[0022] 1. The present invention obtains the corresponding state information of each mixed raw material by analyzing the raw material information parameters and obtains the proportion state of the mixed raw materials by analyzing the corresponding state information of each mixed raw material, and then obtains the corresponding control information by analyzing the proportion state of each mixed raw material. The mixing process is scheduled by the control system to increase the precise control of the operating state and avoid the influence of human factors.

[0023] 2. The present invention analyzes the control information obtained by the ratio verification module and performs corresponding control operations. Based on the control information, the operation processes such as increasing the mixing time, adding additives and adjusting the ratio are accurately executed to increase the stability of product quality. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the following briefly introduces the drawings required for use in the description of the embodiments. The following drawings are not intentionally scaled to the actual size, and the focus is on illustrating the main purpose of the present application.

[0025] Figure 1 It is a principle block diagram of the present invention. DETAILED DESCRIPTION

[0026] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0027] For ease of understanding, the specific process of the embodiment of the present invention is described below. Figure 1 In an embodiment of the present invention, an embodiment of an intelligent control system for raw material transportation for packaging film production includes: a data acquisition module, a raw material analysis module, a ratio verification module, a control module and a database.

[0028] The data acquisition module collects the raw material information data transported by each conveying device and sends the raw material information data to the database; the raw material information parameters include the physical properties and chemical properties of each raw material.

[0029] The ratio analysis module analyzes the raw material information parameters to obtain the corresponding status information of each mixed raw material and sends the status information to the database, specifically: extracting the corresponding component raw materials of the mixed raw materials from the database and extracting the corresponding raw material parameters of each component raw material, analyzing the corresponding physical properties of the component raw materials based on the raw material parameters, and obtaining the raw material density and particle size of the component raw materials through sensors; setting a raw material reference density, comparing the raw material density of the current component raw material with the raw material reference density to obtain the density difference; similarly, obtaining the particle size difference of the particle size, adding the density difference and the particle size difference to obtain the physical property influence value.

[0030] The chemical properties corresponding to the constituent raw materials are analyzed based on the raw material parameters, and the element types, element contents and pH values ​​of each constituent raw material are obtained through spectral analysis. The element types, element contents and pH values ​​of each constituent raw material are comprehensively analyzed to obtain the chemical property influence values ​​of the chemical properties corresponding to the constituent raw materials.

[0031] The physical property influence values ​​and the chemical property influence values ​​are added together to obtain the comprehensive quality parameters of the corresponding constituent raw materials of each mixed raw material, and the quality parameter threshold of the qualified raw materials is set. The comprehensive quality parameters of the corresponding constituent raw materials of each mixed raw material are compared with the quality parameter threshold. If the comprehensive quality parameter is greater than the quality parameter threshold, the unqualified ratio is used as the corresponding status information, and the status information is sent to the database.

[0032] A comprehensive analysis is conducted on the element types, element contents and pH values ​​of each component raw material. The specific analysis method is as follows:

[0033] Set the reference element type corresponding to each component raw material, compare the element type of the current component element with the reference element type, record the elements within the non-reference element type as impurity elements, and obtain the number of impurity elements by counting; extract the element content corresponding to each component element, set the element content range of each component element, match the element content corresponding to each component element with the element content range of each component element, record the component elements exceeding the element content range as unqualified elements and obtain the number of unqualified elements by counting; extract the pH of each component raw material, set the reference pH of each component raw material, compare the pH of each component raw material with the reference pH to obtain the pH difference.

[0034] The number of impurity elements, the number of unqualified elements and the pH difference are normalized and their numerical values ​​are taken; the chemical property influence value HX of the chemical property corresponding to the constituent raw materials is obtained using the formula HX=ZY×a1+BY×a2+SZ×a3; wherein ZY, BY, SZ represent the number of impurity elements, the number of unqualified elements and the pH difference, respectively; a1, a2 and a3 are all preset weight factors; the values ​​are 0.59, 0.13, 0.28, respectively.

[0035] The ratio verification module is used to analyze the corresponding state information of each mixed raw material to obtain the ratio state of the mixed raw material, and to analyze the ratio state of each mixed raw material to obtain corresponding control information.

[0036] The corresponding state information of the mixed raw materials is analyzed in the following specific ways:

[0037] Based on the state information of the mixed raw materials, the corresponding state information of the mixed raw materials is obtained. If the state information is that the ratio is unqualified, the image information and functional information of the mixed raw materials are collected by the collector, and the image information is analyzed: the image information includes impurity phenomenon, stratification phenomenon and precipitation phenomenon; based on the image information of the current mixed raw materials, the qualified image performances of multiple mixed raw materials are obtained, and the qualified image performances of multiple mixed raw materials are overlapped and compared to obtain the reference image performance, and the image information of the current mixed raw materials is overlapped and compared with the reference image information to obtain the number of impurity phenomena of the current mixed raw materials, and the number of stratification phenomena and precipitation phenomena are obtained in the same way; using the formula The image quality parameter η is obtained; wherein Z, F, and C represent the number of impurity phenomena, the number of stratification phenomena, and the number of precipitation phenomena, respectively; Z', F', and C' represent the reference number of impurity phenomena, the reference number of stratification phenomena, and the reference number of precipitation phenomena, respectively; b1, b2, and b3 are all preset weight factors; and their values ​​are 0.32, 0.45, and 0.23, respectively.

[0038] Analyze the functional information of the current mixed raw materials: functional information includes barrier parameters, stress parameters and toxicological parameters.

[0039] A quantitative experimental gas is passed through the mixed raw material, and the content of the escaped gas passing through the mixed raw material is obtained through a sensor, and the escaped gas content is compared with the experimental gas content to obtain the barrier parameter of the current mixed raw material; a reference height is set, the mixed raw material is pulled to the reference height by a mechanical device, and the corresponding tension is collected by a sensor, and a tension reference value is set, and the current tension is compared with the tension reference value to obtain the stress parameter of the current mixed raw material; the toxic gas content of the current mixed raw material is obtained through a sensor, a toxic content threshold is set, and the current toxic gas content is compared with the toxic content threshold to obtain the toxicological parameter of the current mixed raw material; the barrier parameter, stress parameter and toxicological parameter are added and summed to obtain the functional quality parameter.

[0040] The image performance quality parameters and functional quality parameters of the current mixed raw material are extracted, the image quality reference value is set, and the image performance quality parameters are compared with the image quality reference threshold. If the image performance quality parameter is greater than the image quality reference threshold, the image information of the current mixed raw material is recorded as an image abnormality; similarly, the functional abnormality corresponding to the functional information of the current mixed raw material is obtained; and the corresponding control information is obtained according to the image abnormality and the functional abnormality and uploaded to the control module.

[0041] The control module analyzes the control information obtained by the ratio verification module and performs corresponding control operations. For example, if the image information of the mixed raw materials is an image abnormality, the corresponding number of impurity phenomena, stratification phenomena and precipitation phenomena are obtained through the image abnormality. According to the current abnormal image abnormality, corresponding control operations are performed, such as increasing the mixing and stirring time, adding additives and adjusting the ratio.

[0042] The database stores raw material information parameters and corresponding status information of each mixed raw material.

[0043] As described above, the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features thereof may be replaced by equivalents. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. An intelligent control system for raw material transportation for packaging film production, including a data acquisition module and a database, characterized in that: Also includes: A ratio analysis module is used to analyze the raw material information parameters to obtain the corresponding status information of each mixed raw material and send the status information to the database, specifically: extract the corresponding component raw materials of the mixed raw materials from the database and extract the raw material parameters corresponding to each component raw material, analyze the raw material parameters to obtain the comprehensive quality parameters of the raw materials, set the quality parameter threshold of qualified raw materials, compare the comprehensive quality parameters of the corresponding component raw materials of each mixed raw material with the quality parameter threshold, if the comprehensive quality parameter is greater than the quality parameter threshold, then the unqualified ratio is taken as the corresponding status information, and the status information is sent to the database; A ratio verification module is used to analyze the corresponding state information of each mixed raw material to obtain the ratio state of the mixed raw material, and to analyze the ratio state of each mixed raw material to obtain corresponding control information; The control module is used to analyze the control information obtained by the ratio verification module and perform corresponding control operations.

2. The intelligent control system for raw material transportation for packaging film production according to claim 1 is characterized in that: The physical and chemical properties of each raw material in the raw material information parameters include raw material density and particle size, and the type of elements constituting the raw material, element content and pH.

3. The intelligent control system for raw material transportation for packaging film production according to claim 2 is characterized in that: The raw material parameters are analyzed, and the specific analysis method is as follows: Based on the raw material parameters, the physical properties corresponding to the constituent raw materials are analyzed, and the raw material density and particle size of the constituent raw materials are obtained through sensors; a raw material reference density is set, and the raw material density of the current constituent raw material is compared with the raw material reference density to obtain the density difference; similarly, the particle size difference of the particle size is obtained, and the density difference and the particle size difference are added together to obtain the physical property influence value; Analyze the chemical properties of the raw materials based on the raw material parameters, and obtain the element types, element contents and pH values ​​of the raw materials by spectral analysis; comprehensively analyze the element types, element contents and pH values ​​of the raw materials to obtain the chemical property influence values ​​of the chemical properties of the raw materials; The physical property influence values ​​and the chemical property influence values ​​are added together to obtain the comprehensive quality parameters of the corresponding component raw materials of each mixed raw material.

4. The intelligent control system for raw material transportation for packaging film production according to claim 3 is characterized in that: The above-mentioned comprehensive analysis of the element types, element contents and pH values ​​of the respective constituent raw materials is carried out in the following specific analysis methods: Set the reference element type corresponding to each component raw material, compare the element type of the current component element with the reference element type, record the elements within the non-reference element type as impurity elements, and obtain the number of impurity elements by counting; extract the element content corresponding to each component element, set the element content range of each component element, match the element content corresponding to each component element with the element content range of each component element, record the component elements exceeding the element content range as unqualified elements and obtain the number of unqualified elements by counting; extract the pH of each component raw material, set the reference pH of each component raw material, compare the pH of each component raw material with the reference pH to obtain the pH difference.

5. The intelligent control system for raw material transportation for packaging film production according to claim 4 is characterized in that: The state information corresponding to the mixed raw materials is analyzed in the following specific analysis method: Based on the state information of the mixed raw materials, the corresponding state information of the mixed raw materials is obtained. If the state information is that the ratio is unqualified, the image information and functional information of the mixed raw materials are collected by a collector, and the image information is analyzed: the image information includes impurity phenomenon, stratification phenomenon and precipitation phenomenon; based on the image information of the current mixed raw materials, the qualified image performances of multiple mixed raw materials are obtained, and the qualified image performances of multiple mixed raw materials are overlapped and compared to obtain the reference image performance, and the image information of the current mixed raw materials is overlapped and compared with the reference image information to obtain the number of impurity phenomena of the current mixed raw materials, and the number of stratification phenomena and the number of precipitation phenomena are obtained in the same way; Using the formula The image quality parameter η is obtained; wherein Z, F, and C represent the number of impurity phenomena, the number of stratification phenomena, and the number of precipitation phenomena, respectively; Z', F', and C' represent the reference number of impurity phenomena, the reference number of stratification phenomena, and the reference number of precipitation phenomena, respectively; and b1, b2, and b3 are all preset weight factors.

6. The intelligent control system for raw material transportation for packaging film production according to claim 5, characterized in that: The functional information of the current mixed raw materials is analyzed in the following specific analysis method: Functional information includes barrier parameters, stress parameters and toxicological parameters; a certain amount of experimental gas is passed through the mixed raw material, the content of the escaped gas passing through the mixed raw material is obtained through a sensor, and the escaped gas content is compared with the experimental gas content to obtain the barrier parameters of the current mixed raw material; a reference height is set, the mixed raw material is pulled to the reference height by a mechanical device, and the corresponding tension is collected by a sensor, and a tension reference value is set, and the current tension is compared with the tension reference value to obtain the stress parameters of the current mixed raw material; the toxic gas content of the current mixed raw material is obtained through a sensor, a toxic content threshold is set, and the current toxic gas content is compared with the toxic content threshold to obtain the toxicological parameters of the current mixed raw material; the barrier parameters, stress parameters and toxicological parameters are added and summed to obtain the functional quality parameters; Extracting the image quality parameter and the functional quality parameter of the current mixed raw material, setting the image quality reference value, comparing the image quality parameter with the image quality reference threshold, and if the image quality parameter is greater than the image quality reference threshold, the image information of the current mixed raw material is recorded as image abnormality; Similarly, the functional anomaly corresponding to the functional information of the current mixed raw material is obtained; And according to the image abnormalities and functional abnormalities, corresponding control information is obtained and uploaded to the control module.

Images