An intelligent control system for screening contaminated soil

Abstract

The present application provides an intelligent control system for screening contaminated soil, which belongs to the technical field of soil pollution control and management; the intelligent control system for screening contaminated soil comprises an inlet image acquisition module, which acquires an inlet soil flow image at the total inlet of a vibrating screening machine; an image recognition module recognizes the inlet soil flow image to obtain a soil particle image of soil particles; an image analysis module analyzes the soil particle image to obtain soil attribute data; an attribute calculation module calculates and determines basic vibration frequency data and basic amplitude data of screens of different levels according to the soil attribute data; an outlet image acquisition module acquires outlet soil flow images at each outlet of the vibrating screening machine; a feedback adjustment module analyzes and determines vibration frequency feedback data and amplitude feedback data according to the outlet soil flow image, and the basic vibration frequency data and the basic amplitude data; the system is used to improve the screening efficiency of contaminated soil.

Description

Technical Field

[0001] The present application relates to the technical field of soil pollution control and management, and in particular to an intelligent control system for contaminated soil screening. Background Art

[0002] Screening of contaminated soil is an important part of the soil remediation process. It is mainly used to separate particles of different sizes in the contaminated soil for subsequent treatment or remediation. The screening process can not only improve the remediation efficiency, but also reduce the remediation cost and avoid secondary pollution. Generally speaking, contaminated soil can be screened by screening machines, such as vibrating screening machines. When using a vibrating screening machine to screen contaminated soil, the contaminated soil is poured in from the main inlet, and the contaminated soil is screened through different levels of sieves for soil particles and flows out from different outlets. In the conventional method, staff are required to judge the particle size of the soil particles, so as to set the vibration frequency and amplitude of different sieves, and the equipment parameters need to be adjusted, which is troublesome and inefficient. Summary of the invention

[0003] The present application provides an intelligent control system for contaminated soil screening, which can intelligently control the vibration frequency and amplitude of each level of the screen without the need for manual adjustment, thereby helping to improve the screening efficiency of contaminated soil.

[0004] An intelligent control system for screening contaminated soil includes:

[0005] An inlet image acquisition module, used to acquire an inlet soil flow image at the main inlet of the vibrating screening machine;

[0006] An image recognition module, used for recognizing the inlet soil flow image to obtain a soil particle image of soil particles;

[0007] An image analysis module is used to analyze the soil particle image to obtain soil attribute data; the soil attribute data includes soil particle size data, soil particle regularity data, soil particle viscosity data and soil particle sharpness data; soil particles with different soil particle size data are marked as soil particles of different grades; soil particles of different grades correspond to sieves of different grades;

[0008] An attribute calculation module, used for calculating and determining basic vibration frequency data and basic amplitude data of screens of different levels according to the soil attribute data; the basic vibration frequency data and basic amplitude data are associated with the soil particle regularity data, soil particle viscosity data and soil particle sharpness data;

[0009] An outlet image acquisition module is used to acquire outlet soil flow images at each outlet of the vibrating screening machine;

[0010] A feedback adjustment module is used to determine vibration frequency feedback data and amplitude feedback data according to the outlet soil flow image analysis, and adjust the basic vibration frequency data according to the vibration frequency feedback data, and adjust the basic amplitude data according to the amplitude feedback data.

[0011] Furthermore, the attribute calculation module is further configured as follows:

[0012] Based on a preset calculation model, the basic vibration frequency influence scores and basic amplitude influence scores of soil particles of different grades are calculated and determined according to the soil attribute data;

[0013] Based on the preset parameter comparison table, the basic vibration frequency data of the corresponding level of the screen is determined according to the basic vibration frequency influence scores of the soil particles of different levels, and the basic amplitude data of the corresponding level of the screen is determined according to the basic amplitude influence scores of the soil particles of different levels;

[0014] The preset parameter comparison table includes the corresponding relationship between the basic vibration frequency influence score and the basic vibration frequency data, and includes the corresponding relationship between the basic amplitude influence score and the basic amplitude data.

[0015] Furthermore, the attribute calculation module is further configured such that the preset calculation model includes:

[0016] The soil particle regularity data includes regularity-affected vibration frequency sub-data and regularity-affected amplitude sub-data; the soil particle viscosity data includes viscosity-affected vibration frequency sub-data and viscosity-affected amplitude sub-data; the soil particle sharpness data includes sharpness-affected vibration frequency sub-data and sharpness-affected amplitude sub-data;

[0017] ;

[0018] In the formula, The basic vibration frequency affects the score. The regularity affects the vibration frequency sub-data. The vibration frequency sub-data is affected by viscosity. The sharpness affects the vibration frequency sub-data; is the basic amplitude impact score, The regularity affects the amplitude sub-data. is the viscosity impact amplitude sub-data, Affects the amplitude sub-data for sharpness; They are respectively a preset first weight, a preset second weight, a preset third weight, a preset fourth weight, a preset fifth weight and a preset sixth weight.

[0019] Furthermore, the attribute calculation module is further configured as follows: .

[0020] Furthermore, the attribute calculation module is further configured as follows: .

[0021] Furthermore, the image analysis module is further configured to:

[0022] Using image recognition technology to select each soil particle in the soil particle image;

[0023] Compare the image graph of the framed soil particles with a preset standard circle graph to obtain the soil particle size data and the soil particle regularity data;

[0024] Determine soil particle viscosity data based on the distance between any two image graphics of the soil particles selected by the frame;

[0025] Determine the partial image graphic of the image graphic of the framed soil particles that exceeds the preset standard circle graphic, and determine the soil particle sharpness data based on the partial image graphic.

[0026] Furthermore, the image analysis module is further configured to:

[0027] Determine the similarity data between the image graphics of the framed soil particles of different levels and the preset standard circle graphics of the corresponding levels by using image analysis technology;

[0028] For any level of soil particles, the total similarity data is calculated based on the similarity data of all soil particles at that level;

[0029] The soil particle regularity data is determined according to the total similarity data.

[0030] Furthermore, the feedback adjustment module is further configured to:

[0031] Using image analysis technology to analyze the outlet soil flow image within a preset time period to determine and process soil parameter data;

[0032] The processed soil parameter data include soil particle regularity change trend data and soil particle viscosity change trend data of different grades of soil particles after screening;

[0033] Vibration frequency feedback data and amplitude feedback data are analyzed and determined based on the processed soil parameter data.

[0034] Furthermore, the feedback adjustment module is further configured to:

[0035] Analyzing soil parameter data of the outlet soil flow image corresponding to each preset time node within the preset time period to obtain soil parameter fluctuation data;

[0036] Analyzing soil parameter variation trend information according to the soil parameter fluctuation data;

[0037] When it is determined that the soil parameter change trend information presents an irregular trend, the duration of the preset time period is adjusted; the irregular trend is a trend other than an upward trend and a downward trend.

[0038] Furthermore, the feedback adjustment module is further configured as follows: the vibration frequency feedback data and the amplitude feedback data are parameter adjustment multiplication coefficients.

[0039] It should be understood that the contents described in the Summary of the Invention are not intended to limit the key or important features of the embodiments of the present application, nor are they intended to limit the scope of the present application. Other features of the present application will become easily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] The above and other features, advantages and aspects of the embodiments of the present application will become more apparent with reference to the following detailed description in conjunction with the accompanying drawings. In the accompanying drawings, the same or similar reference numerals represent the same or similar elements, wherein:

[0041] Figure 1 A block diagram of an intelligent control system for contaminated soil screening in an embodiment of the present application is shown. DETAILED DESCRIPTION

[0042] In order to make the purpose, technical solution and advantages of the embodiments of the present application clearer, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0043] In addition, the term "and / or" in this article is only a description of the association relationship between the associated objects, indicating that there can be three relationships. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. In addition, the character " / " in this article generally indicates that the associated objects before and after are in an "or" relationship.

[0044] The present application provides an intelligent control system for contaminated soil screening, which can intelligently control the vibration frequency and amplitude of screens of different levels, thereby improving the working efficiency of the intelligent screening of contaminated soil.

[0045] like Figure 1As shown, an intelligent control system for contaminated soil screening includes an inlet image acquisition module 110, which is used to acquire an inlet soil flow image at the main inlet of a vibrating screening machine; an image recognition module 120, which is used to recognize the inlet soil flow image to obtain a soil particle image of soil particles; an image analysis module 130, which is used to analyze the soil particle image to obtain soil attribute data; the soil attribute data includes soil particle size data, soil particle regularity data, soil particle viscosity data and soil particle sharpness data; soil particles with different soil particle size data are marked as soil particles of different grades; soil particles of different grades correspond to sieves of different grades; an attribute calculation module 140, which is used to calculate and determine the basic vibration frequency data and basic amplitude of sieves of different grades according to the soil attribute data data; the basic vibration frequency data and the basic amplitude data are associated with the soil particle regularity data, the soil particle viscosity data and the soil particle sharpness data; an outlet image acquisition module 150 is used to obtain the outlet soil flow image at each outlet of the vibrating screening machine; a feedback adjustment module 160 is used to determine the vibration frequency feedback data and the amplitude feedback data according to the outlet soil flow image analysis, and adjust the basic vibration frequency data according to the vibration frequency feedback data, and adjust the basic amplitude data according to the amplitude feedback data; by adopting the system of the present application, the vibration frequency and amplitude of each level of the vibrating screening machine can be intelligently controlled, without the need to perform manual parameter adjustment operations before, after or during the operation of the machine, thereby reducing labor costs and improving the work efficiency of contaminated soil screening.

[0046] In an embodiment of the present application, when a vibrating screening machine is used to screen contaminated soil, cameras can be set at the main entrance and each outlet of the vibrating screening machine, and the camera can be used to obtain images of contaminated soil particles; the image of the soil particles can also be obtained by other devices or other methods, and the specific acquisition method is not limited here, as long as the image can be obtained; it can be understood that the vibrating screening machine in the embodiment of the present application includes a main entrance and multiple outlets, each outlet corresponds to a level of screen, and different levels of screens are used to filter soil particles of different particle sizes; after the contaminated soil is poured into the main entrance, the contaminated soil is filtered through multiple levels of screens and discharged from different outlets, thereby realizing the screening of the contaminated soil; it should be noted that the vibration frequency and amplitude of the different levels of screens here can be adjusted separately; that is, the vibration frequency and amplitude of the different levels of screens can be the same or different.

[0047] In an embodiment of the present application, the image analysis module 130 is further configured to use image recognition technology to frame each soil particle in the soil particle image; compare the image graphics of the framed soil particles with a preset standard circle graphic to obtain the soil particle size data and the soil particle regularity data; determine the soil particle viscosity data based on the distance between any two framed soil particle image graphics; determine the partial image graphics of the framed soil particles that exceed the preset standard circle graphic, and determine the soil particle sharpness data based on the partial image graphics.

[0048] Furthermore, image analysis technology is used to determine the similarity data between the image graphics of the selected soil particles of different levels and the preset standard circle graphics of the corresponding levels; for any level of soil particles, the total similarity data is calculated based on the similarity data of all soil particles at this level; and the soil particle regularity data is determined based on the total similarity data.

[0049] It can be understood that after obtaining the soil particle image, the soil particle image is feature recognized, each soil particle is framed, and then the actual framed soil particle image graphic is compared with the preset standard circle. The level to which the soil particles belong can be determined by comparing the sizes of the two. The regularity of the soil particles is based on the overall regularity of all soil particles at any level. Based on the above content, the overall regularity of the soil particles at each level can be determined. It should be noted that for the soil particle sharpness data mentioned above, in the embodiment of the present application, the number of sharp soil particles at different levels can be determined through image recognition technology, and the soil particle sharpness data can be obtained by dividing the number by the total number of soil particles at the level. It can be understood that the soil viscosity data is also the overall viscosity data of soil particles at each level. Specifically, after obtaining the distance data between any two soil particles, the number of soil particle groups whose distance is less than the preset distance threshold is determined, and the soil particle group is the two soil particles whose distance is less than the preset distance threshold. The soil particle viscosity data can be obtained by dividing the number of soil particle groups whose distance is less than the preset distance threshold by the total number of soil particles.

[0050] In the embodiment of the present application, after the soil attribute data is obtained, the above-mentioned soil attribute data can determine the basic vibration frequency and amplitude of each level of the screen; specifically, the attribute calculation module 140 is further configured to: based on a preset calculation model, calculate and determine the basic vibration frequency influence score and the basic amplitude influence score of soil particles of different levels according to the soil attribute data; based on a preset parameter comparison table, determine the basic vibration frequency data of the corresponding level of the screen according to the basic vibration frequency influence score of soil particles of different levels, and determine the basic amplitude data of the corresponding level of the screen according to the basic amplitude influence score of soil particles of different levels; the preset parameter comparison table contains the corresponding relationship between the basic vibration frequency influence score and the basic vibration frequency data, and contains the corresponding relationship between the basic amplitude influence score and the basic amplitude data.

[0051] Further, the attribute calculation module 140 is further configured as follows: the preset calculation model includes: the soil particle regularity data includes regularity affecting vibration frequency sub-data and regularity affecting amplitude sub-data; the soil particle viscosity data includes viscosity affecting vibration frequency sub-data and viscosity affecting amplitude sub-data; the soil particle sharpness data includes sharpness affecting vibration frequency sub-data and sharpness affecting amplitude sub-data;

[0052] ;

[0053] In the formula, The basic vibration frequency affects the score. The regularity affects the vibration frequency sub-data. The vibration frequency sub-data is affected by viscosity. The sharpness affects the vibration frequency sub-data; is the basic amplitude impact score, The regularity affects the amplitude sub-data. is the viscosity impact amplitude sub-data, Affects the amplitude sub-data for sharpness; are respectively a preset first weight, a preset second weight, a preset third weight, a preset fourth weight, a preset fifth weight and a preset sixth weight; wherein, ; .

[0054] It can be understood that in the embodiment of the present application, different soil property data will affect both the vibration frequency and the amplitude; that is, the soil property data of soil particles at different levels will affect the basic vibration frequency and basic amplitude of the corresponding level of screen; in this way, the basic vibration frequency and amplitude of each level of screen can be determined; it can be understood that the above-mentioned regularity affects the vibration frequency sub-data is obtained by multiplying the soil particle regularity data by the preset first influence coefficient; the regularity affects the amplitude sub-data is obtained by multiplying the soil particle regularity data by the preset second influence coefficient; the viscosity affects the vibration frequency sub-data is obtained by multiplying the soil particle viscosity data by the preset third influence coefficient; the viscosity affects the amplitude sub-data is obtained by multiplying the soil particle viscosity data by the preset fourth influence coefficient; the sharpness affects the vibration frequency sub-data is obtained by multiplying the soil particle sharpness data by the preset fifth influence coefficient; the sharpness affects the amplitude sub-data is obtained by multiplying the soil particle sharpness data by the preset sixth influence coefficient.

[0055] It can be understood that in the embodiment of the present application, the preset first weight, the preset second weight and the preset third weight can be 0.3, 0.3 and 0.4; the preset fourth weight, the preset fifth weight and the preset sixth weight can be 0.4, 0.4 and 0.2.

[0056] After determining the basic vibration frequency and basic amplitude of each grade of screen, the basic vibration frequency and basic amplitude can be fine-tuned by feedback according to the property data of the screened soil particles at the outlet.

[0057] Specifically, the feedback adjustment module 160 is further configured to use image analysis technology to analyze the outlet soil flow image within a preset time period to determine the processed soil parameter data; the processed soil parameter data includes the regularity change trend data of soil particles after screening of different grades of soil particles and the viscosity change trend data of soil particles after screening; based on the analysis of the processed soil parameter data, the vibration frequency feedback data and the amplitude feedback data are determined; wherein, the soil parameter data of the outlet soil flow image corresponding to each preset time node within the preset time period is analyzed to obtain the soil parameter fluctuation data; the soil parameter change trend information is analyzed according to the soil parameter fluctuation data; when it is determined that the soil parameter change trend information presents an irregular trend, the duration of the preset time period is adjusted; the irregular trend is a trend other than an upward trend and a downward trend; the vibration frequency feedback data and the amplitude feedback data are parameter adjustment multiplier coefficients.

[0058] It can be understood that for the analysis of the soil image at the outlet and the subsequent feedback adjustment, the outlet soil flow image within a period of time can be analyzed as a whole to analyze its changing trend, and then based on the fluctuation trend of the soil parameters, the basic vibration frequency and basic amplitude can be adjusted by an increase or decrease multiple; for example, if the regularity of the soil parameters shows an upward trend, the basic vibration frequency and basic amplitude can be adjusted by 10%.

[0059] It is understandable that, when analyzing the changing trend of soil parameters mentioned above, in order to ensure that the adjustment of vibration frequency and amplitude is effective and feasible, it is necessary to ensure that the changing trend of soil parameters is an overall increase or decrease. If there is an alternating increase and decrease, it is necessary to extend the duration of the preset time period.

[0060] It should be noted that feedback adjustment of the soil parameters based on the export is essentially a fine-tuning of the basic vibration frequency and basic amplitude. Therefore, the specific adjustment method is to use a small multiplier value for fine-tuning.

[0061] It should be noted that what is actually executed in the system of the present application is a machine learning model, which makes the final analysis and calculation results more accurate by continuously training the parameters in the model; the parameters that can be trained include, for example, a preset first weight, a preset second weight, a preset third weight, a preset fourth weight, a preset fifth weight, a preset sixth weight, a preset parameter control, a preset first influence coefficient, a preset second influence coefficient, a preset third influence coefficient, a preset fourth influence coefficient, a preset fifth influence coefficient, a preset sixth influence coefficient, etc.; through continuous training of the above parameters, the calculated basic vibration frequency and basic amplitude are more in line with reality, the screening efficiency of contaminated soil particles is improved, and combined with feedback regulation, the intelligent control of soil screening is further realized, the labor cost is reduced, and the work efficiency and accuracy of contaminated soil screening and treatment work are improved.

[0062] It should be noted that, for the aforementioned method embodiments, for the sake of simplicity of description, they are all expressed as a series of action combinations, but those skilled in the art should be aware that the present application is not limited by the described order of actions, because according to the embodiments of the present application, certain steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should also be aware that the embodiments described in the specification are all optional embodiments, and the actions and modules involved are not necessarily required by the present application.

[0063] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working process of the described device can refer to the corresponding process in the aforementioned method embodiment, and will not be repeated here.

[0064] The above description is only a preferred embodiment of the present application and an explanation of the technical principles used. Those skilled in the art should understand that the scope of disclosure involved in the present application is not limited to the technical solution formed by a specific combination of the above technical features, but should also cover other technical solutions formed by any combination of the above technical features or their equivalent features without departing from the aforementioned disclosed concept. For example, the above features are replaced with the technical features with similar functions disclosed in this application (but not limited to) by each other to form a technical solution.

Claims

1. An intelligent control system for screening contaminated soil, characterized in that: include: An inlet image acquisition module (110) is used to acquire an inlet soil flow image at the main inlet of the vibrating screening machine; An image recognition module (120) is used to recognize the inlet soil flow image to obtain a soil particle image of soil particles; An image analysis module (130) is used to analyze the soil particle image to obtain soil attribute data; the soil attribute data includes soil particle size data, soil particle regularity data, soil particle viscosity data and soil particle sharpness data; soil particles with different soil particle size data are marked as soil particles of different grades; soil particles of different grades correspond to sieves of different grades; An attribute calculation module (140) is used to calculate and determine basic vibration frequency data and basic amplitude data of screens of different levels according to the soil attribute data; the basic vibration frequency data and basic amplitude data are associated with the soil particle regularity data, soil particle viscosity data and soil particle sharpness data; An outlet image acquisition module (150) is used to acquire an outlet soil flow image at each outlet of the vibrating screening machine; A feedback adjustment module (160) is used to determine vibration frequency feedback data and amplitude feedback data according to the outlet soil flow image analysis, and to adjust the basic vibration frequency data according to the vibration frequency feedback data, and to adjust the basic amplitude data according to the amplitude feedback data; The property calculation module (140) is further configured to calculate and determine the basic vibration frequency influence scores and basic amplitude influence scores of soil particles of different levels based on the soil property data based on a preset calculation model; Based on the preset parameter comparison table, the basic vibration frequency data of the corresponding level of the screen is determined according to the basic vibration frequency influence scores of the soil particles of different levels, and the basic amplitude data of the corresponding level of the screen is determined according to the basic amplitude influence scores of the soil particles of different levels; The preset parameter comparison table includes the corresponding relationship between the basic vibration frequency influence score and the basic vibration frequency data, and includes the corresponding relationship between the basic amplitude influence score and the basic amplitude data; The preset calculation model includes: the soil particle regularity data includes regularity affecting vibration frequency sub-data and regularity affecting amplitude sub-data; the soil particle viscosity data includes viscosity affecting vibration frequency sub-data and viscosity affecting amplitude sub-data; the soil particle sharpness data includes sharpness affecting vibration frequency sub-data and sharpness affecting amplitude sub-data; ； In the formula, The basic vibration frequency affects the score. The regularity affects the vibration frequency sub-data. The vibration frequency sub-data is affected by viscosity. The sharpness affects the vibration frequency sub-data; is the basic amplitude impact score, The regularity affects the amplitude sub-data. is the viscosity impact amplitude sub-data, Affects the amplitude sub-data for sharpness; are respectively a preset first weight, a preset second weight, a preset third weight, a preset fourth weight, a preset fifth weight and a preset sixth weight; wherein, ; .

2. The intelligent control system for contaminated soil screening according to claim 1 is characterized in that: The image analysis module (130) is further configured to: Using image recognition technology to select each soil particle in the soil particle image; Compare the image graph of the framed soil particles with a preset standard circle graph to obtain the soil particle size data and the soil particle regularity data; Determine soil particle viscosity data based on the distance between any two image graphics of the soil particles selected by the frame; Determine the partial image graphic of the image graphic of the framed soil particles that exceeds the preset standard circle graphic, and determine the soil particle sharpness data based on the partial image graphic.

3. The intelligent control system for contaminated soil screening according to claim 2 is characterized in that: The image analysis module (130) is further configured to: Determine the similarity data between the image graphics of the framed soil particles of different levels and the preset standard circle graphics of the corresponding levels by using image analysis technology; For any level of soil particles, the total similarity data is calculated based on the similarity data of all soil particles at that level; The soil particle regularity data is determined according to the total similarity data.

4. The intelligent control system for contaminated soil screening according to claim 3 is characterized in that: The feedback adjustment module (160) is further configured to: Using image analysis technology to analyze the outlet soil flow image within a preset time period to determine and process soil parameter data; The processed soil parameter data include soil particle regularity change trend data and soil particle viscosity change trend data of different grades of soil particles after screening; Vibration frequency feedback data and amplitude feedback data are analyzed and determined based on the processed soil parameter data.

5. The intelligent control system for contaminated soil screening according to claim 4 is characterized in that: The feedback adjustment module (160) is further configured to: Analyzing soil parameter data of the outlet soil flow image corresponding to each preset time node within the preset time period to obtain soil parameter fluctuation data; Analyzing soil parameter variation trend information according to the soil parameter fluctuation data; When it is determined that the soil parameter change trend information presents an irregular trend, adjusting the length of the preset time period; The irregular trends are trends other than the upward trend and the downward trend.

6. The intelligent control system for contaminated soil screening according to claim 5 is characterized in that: The feedback adjustment module (160) is further configured such that: the vibration frequency feedback data and the amplitude feedback data are parameter adjustment multiplication coefficients.

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