CN115271481B - Industrial solid waste intelligent classification processing monitoring management system based on machine vision - Google Patents

Industrial solid waste intelligent classification processing monitoring management system based on machine vision Download PDF

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CN115271481B
CN115271481B CN202210926333.1A CN202210926333A CN115271481B CN 115271481 B CN115271481 B CN 115271481B CN 202210926333 A CN202210926333 A CN 202210926333A CN 115271481 B CN115271481 B CN 115271481B
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黄威
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Shenzhen Tengli Technology Co ltd
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Abstract

The invention discloses an industrial solid waste intelligent classification processing monitoring management system based on machine vision, which specifically comprises an enterprise waste input information acquisition module, an enterprise waste emission type classification module, a waste temporary placement information acquisition and processing module, a vehicle transportation scheduling analysis and processing module, a waste dispersing and information acquisition module, a waste information analysis module, a waste processing module, a cloud storage platform and a waste early warning terminal.

Description

Industrial solid waste intelligent classification processing monitoring management system based on machine vision
Technical Field
The invention belongs to the technical field of industrial solid waste treatment, and relates to an intelligent industrial solid waste classification treatment monitoring management system based on machine vision.
Background
The industry is the most important material production department, provides material products for the economic activities of resident life and various industries, and is used as an important support for economic development, and the total amount of the generated solid waste is gradually increased while promoting the social development, so that the analysis treatment of the industrial solid waste is required for improving the utilization rate of resources and reducing the pollution rate of the environment.
The current treatment method for industrial waste mainly comprises the steps of transporting the waste to a waste treatment center and then sorting the waste by manual sorting and roller screening, and obviously, the treatment method has the following problems:
1. when the wastes are transported, the wastes cannot be transported according to the grade of the wastes, so that the wastes of all types are mixed together, the workload of manual sorting is increased, the sorting efficiency of personnel is further reduced, and meanwhile, the evaluation difficulty of the dangerous grade of the wastes is increased, so that convenience cannot be provided for the subsequent treatment of industrial wastes, certain potential safety hazards exist, the secondary utilization rate of the wastes is reduced, and the pollution degree of the environment cannot be reduced;
2. at present, the vehicle transportation route is not planned according to the types and transportation demands of the enterprise wastes, on one hand, the transportation path length of the vehicle cannot be effectively shortened, the transportation efficiency of the vehicle cannot be improved, meanwhile, the loss of the fuel consumption of the vehicle cannot be reduced, so that the cost in the transportation process of the vehicle cannot be reduced, on the other hand, the waste transportation cannot be carried out according to the transportation demands of the enterprise, the phenomenon that the enterprise wastes are stored too much is caused, the damage to the environment caused by untimely waste treatment is further aggravated, and meanwhile, the workload and the treatment cost of a waste treatment center are increased;
3. The industrial production finished product is generally single, the waste generated in the production process is also relatively fixed, the current treatment mode of industrial solid waste belongs to a general treatment mode, the corresponding characteristics of each enterprise waste are not highlighted, the pertinence of the classified treatment of the industrial solid waste cannot be ensured, the compliance and the safety of the enterprise waste throwing cannot be ensured, and meanwhile, the process of waste treatment by a waste treatment center is increased.
Disclosure of Invention
In view of this, in order to solve the problems set forth in the background art, an intelligent industrial solid waste classification processing, monitoring and management system based on machine vision is provided.
The aim of the invention can be achieved by the following technical scheme:
an industrial solid waste intelligent classification processing monitoring management system based on machine vision, the system comprises:
the enterprise waste throwing information acquisition module is used for acquiring the position of a waste treatment center in a designated park and acquiring basic throwing information which is correspondingly registered in the waste treatment center by each enterprise in the designated park;
the enterprise waste emission type classification module is used for classifying each enterprise according to the put-in waste level registered by each enterprise to obtain the number of enterprises corresponding to the put-in waste level, numbering each put-in waste level, and marking the number of each enterprise corresponding to each put-in waste level as 1, 2.
The waste temporary placement information acquisition and processing module is used for acquiring temporary placement waste information corresponding to enterprises in each put-in waste level, and screening out the number of the put-in waste levels to be transported and the enterprises corresponding to the put-in waste levels to be transported;
the vehicle transportation scheduling analysis and processing module is used for analyzing temporary put waste information corresponding to enterprises in each put-in waste level, and further confirming transportation vehicle types and transportation schemes corresponding to the enterprises of the waste to be transported in each put-in waste level to transport temporary put waste corresponding to the enterprises of the waste to be transported in each put-in waste level to be transported;
the waste dispersing and information collecting module is used for dispersing temporary placed waste corresponding to each waste enterprise to be transported in each waste level to be transported through the dispersing device when temporary placed waste corresponding to each waste enterprise to be transported in each waste level to be transported is transported to the waste treatment center, marking the dispersed temporary placed waste as target waste, and collecting characteristic information corresponding to the target waste;
the waste information analysis module is used for analyzing the characteristic information of the target waste corresponding to each waste enterprise to be transported in each waste grade to be transported, so as to obtain the waste delivery qualified influence coefficient corresponding to each waste enterprise to be transported in each waste grade to be transported;
The waste treatment module is used for judging the compliance situation of the corresponding waste throwing of each waste enterprise to be transported in each waste throwing level, and extracting the number corresponding to the unqualified enterprise to be thrown;
the waste early warning terminal is used for receiving the numbers and the reject types corresponding to each reject enterprise and carrying out early warning.
Optionally, the basic put information includes a position corresponding to each enterprise, a put waste level, a number of put waste types, a single put waste volume, a single put waste weight, and a risk level corresponding to the put waste.
Optionally, screening out the number of the to-be-transported put-in waste levels and each to-be-transported waste enterprise corresponding to each to-be-transported put-in waste level, wherein the specific screening process is as follows:
temporary waste information corresponding to enterprises in each put waste level is obtained, wherein the temporary waste information comprises volume and weight, and further a calculation formula is adoptedObtaining the waste transportation demand coefficient psi corresponding to each enterprise in each put waste level ij Wherein V is ij 、M ij Expressed as volume, weight, V 'of the j-th enterprise temporary waste in the i-th put-in waste class respectively' ij 、M′ ij The volume of single-shot waste, the weight of single-shot waste, gamma, respectively, registered for the ith-shot waste level, jth enterprise 1 、γ 2 The method comprises the steps that transportation weight factors corresponding to the volume and the weight of set temporary waste of enterprises are respectively, i is the number of each put-in waste level, i=1, 2, & gt.
Comparing the waste transportation demand coefficient corresponding to each enterprise in each put-in waste level with the set standard enterprise waste transportation demand coefficient, and judging that the put-in waste level is a to-be-transported put-in waste level if the waste transportation demand coefficient corresponding to a certain enterprise in a certain put-in waste level is greater than or equal to the standard enterprise waste transportation demand coefficient, wherein the enterprise in the put-in waste level is a to-be-transported waste enterprise, so that the number of to-be-transported put-in waste levels and each to-be-transported waste enterprise corresponding to each to-be-transported put-in waste level are screened out in the mode.
Optionally, confirming the type of the transport vehicle corresponding to each waste enterprise to be transported in each waste grade to be transported, wherein the specific confirmation process is as follows:
Based on temporary waste information corresponding to enterprises of the wastes to be transported in the waste levels to be transported, counting to obtain comprehensive temporary waste objects and comprehensive temporary waste weights corresponding to the enterprises in the waste levels to be transported;
and correspondingly comparing the comprehensive temporary waste object area and the comprehensive temporary waste weight corresponding to enterprises in the waste class to be transported with the waste object accommodating area and the weight corresponding to each vehicle type in the cloud storage platform, and further confirming the transportation vehicle type corresponding to each waste enterprise to be transported in the waste class to be transported.
Optionally, confirming a transportation scheme corresponding to each waste enterprise to be transported in each waste grade to be transported and put, wherein the specific confirmation mode is as follows:
according to the positions corresponding to the waste enterprises to be transported in the waste levels to be transported, obtaining transport schemes corresponding to the waste enterprises to be transported in the waste levels to be transported and path lengths corresponding to the transport schemes, comparing the path lengths corresponding to the transport schemes, screening the transport scheme with the shortest path length from the transport schemes, and taking the transport scheme as the transport scheme corresponding to the waste enterprises to be transported in the waste levels to be transported.
Optionally, the characteristic information of the target waste corresponding to each waste enterprise to be transported in each waste grade to be transported is analyzed, and the analysis process is as follows:
acquiring characteristic information of target wastes corresponding to enterprises of the wastes to be transported in the levels of the wastes to be transported, wherein the characteristic information comprises the number of types, the volume, the weight and the maximum danger level;
extracting the number of target waste types from the characteristic information of the target waste corresponding to each waste enterprise in each waste grade to be transported, and analyzing to obtain a qualified impact coefficient delta of the number of waste types corresponding to each waste enterprise in each waste grade to be transported i′j′ Wherein i' is the input waste of each to-be-transportedThe number corresponding to the reject level, i ' =1 ',2',.i..n ', j ' is the number corresponding to each reject enterprise to be transported in each reject level to be transported, j ' =1 ',2',.i..m ';
extracting target waste volume from characteristic information of target waste corresponding to each waste enterprise in each waste grade to be transported, and analyzing to obtain a waste volume delivery qualified influence coefficient eta corresponding to each waste enterprise in each waste grade to be transported i′j′ ；
Extracting target waste weight from characteristic information of target waste corresponding to each waste enterprise in each waste grade to be transported, and analyzing to obtain a waste weight transporting qualification influence coefficient theta corresponding to each waste enterprise in each waste grade to be transported i′j′ ；
Extracting the maximum risk level of the target waste from the characteristic information of the target waste corresponding to each waste enterprise to be transported in each waste level to be transported, comparing the maximum risk level with the risk level of the waste to be transported registered by the enterprise in the waste treatment center, and if the risk level of the target waste corresponding to a certain waste enterprise to be transported in a certain waste level to be transported is greater than the risk level of the waste to be transported registered by the enterprise in the waste treatment center, marking the qualified influence coefficient of the risk level corresponding to the waste enterprise to be transported in the waste level to be transported as sigma 1 Otherwise, it is denoted as sigma 2 Thereby respectively obtaining the waste danger class delivery qualification influence coefficient zeta corresponding to each waste enterprise to be delivered in each waste class to be delivered i′j′ Wherein ζ i′j′ Take the value sigma 1 Or sigma 2 And sigma (sigma) 1 >σ 2 。
Optionally, the specific formula of the waste delivery qualification influence coefficient corresponding to each waste enterprise to be transported in each waste grade to be transported is phi i′j′ ＝δ i′j′ *λ 1 +η i′j′ *λ 2 +θ i′j′ *λ 3 +ζ i′j′ *λ 4 Wherein phi is i′j′ For the waste delivery qualification influence coefficient, lambda corresponding to the j 'waste to be delivered enterprise in the i' waste to be delivered level 1 、λ 2 、λ 3 、λ 4 Respectively the set weight factors corresponding to the number, volume, weight and danger grade of the waste.
Optionally, the compliance situation of the corresponding waste throwing of each waste enterprise to be transported in each waste throwing level to be transported is judged, and the specific judging process is as follows:
comparing the waste delivery qualified influence coefficient corresponding to each waste delivery enterprise in each waste delivery grade to be delivered with the set pre-warning enterprise waste delivery qualified influence coincidence coefficient;
if the waste release qualification influence coefficient corresponding to a certain waste release enterprise in the waste release level to be transferred is larger than the set early warning enterprise release waste qualification influence coincidence coefficient, judging that the waste released correspondingly by the waste release enterprise in the waste release level to be transferred is unqualified, marking the waste release enterprise to be a release unqualified enterprise, and confirming the unqualified type and number corresponding to the release unqualified enterprise, otherwise, judging that the waste released correspondingly by the waste release enterprise to be transferred in the waste release level to be transferred is qualified, and judging the compliance situation of the waste release corresponding to each waste release enterprise to be transferred in each waste release level to be transferred by the method.
Optionally, confirming the reject type corresponding to the reject enterprise, wherein the specific confirmation process is as follows:
extracting the number corresponding to the unqualified enterprise, and further acquiring the characteristic information of the target waste corresponding to the unqualified enterprise;
comparing the characteristic information of the target waste corresponding to the unqualified throwing enterprise with basic throwing information registered in the waste treatment center, and outputting the unqualified type corresponding to the unqualified throwing enterprise, wherein the unqualified type comprises unqualified types, unqualified volumes, unqualified weights and unqualified dangerous grades.
Optionally, the machine vision-based industrial solid waste intelligent classification processing monitoring management system further comprises a cloud storage platform, wherein the cloud storage platform is used for storing characteristic images corresponding to various wastes, danger levels corresponding to various wastes and volumes and weights of waste accommodating objects corresponding to various vehicle types.
Compared with the prior art, the invention has the following beneficial effects:
1. according to the industrial solid waste intelligent classification processing monitoring management system based on machine vision, through analysis of the waste levels of enterprises, the transportation demands and the waste put in by the enterprises, on one hand, the problem that the waste put in by the enterprises is not analyzed by a waste processing center is solved, the planning of the vehicle path according to the waste transportation demands is realized, the transportation path length of the vehicle is effectively shortened, the transportation efficiency of the vehicle is further improved, meanwhile, the loss of the fuel consumption of the vehicle is reduced, the cost of the vehicle transportation process is reduced, on the other hand, the problem that the existing method for classifying the waste types is not suitable for industrial solid waste is solved, the analysis of the qualified condition of the waste put in by the enterprises is realized, the compliance of the waste put in by the enterprises is effectively ensured, and meanwhile, the cost of the waste processed by the enterprises is reduced.
2. According to the invention, the basic throwing information which is correspondingly registered by the enterprise in the waste treatment center is acquired in the enterprise waste throwing information acquisition module, so that references are provided for the analysis of the enterprise waste by the subsequent waste treatment center, the standardization of the enterprise production waste throwing is facilitated, the safety of the enterprise waste throwing is ensured, and the waste treatment efficiency of the waste treatment center is increased.
3. According to the invention, temporary placed waste information corresponding to enterprises in each put-in waste level is acquired in the waste temporary placed information acquisition and processing module, so that the subsequent vehicle transportation scheduling is laid, the mixing condition of different levels of waste in the vehicle transportation process is avoided, the workload of personnel sorting is reduced, the sorting efficiency of personnel is effectively improved, meanwhile, the difficulty of waste danger level assessment is reduced, convenience is further provided for the subsequent industrial waste treatment, the secondary utilization rate of waste is improved, and the environmental pollution degree is greatly reduced.
4. According to the invention, the characteristic information of the waste corresponding to each waste to be transported enterprise in the types of the waste to be transported and the enterprises to be transported is collected in the waste dispersing and information collecting module, so that the laying is set for judging the compliance of the waste to be transported of the enterprises by the subsequent waste treatment center, the pertinence of classified treatment of industrial solid waste is greatly improved, and the process of waste treatment by the waste treatment center is reduced.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are needed for the description of the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic diagram of the connection of the modules of the system of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
The embodiment of the invention is shown in fig. 1, and the system comprises an enterprise waste throwing information acquisition module, an enterprise waste discharge type classification module, a waste temporary placement information acquisition and processing module, a vehicle transportation scheduling analysis and processing module, a waste dispersing and information acquisition module, a waste information analysis module, a waste processing module, a cloud storage platform and a waste early warning terminal.
The waste temporary placement information acquisition and processing module is respectively connected with the enterprise waste placement information acquisition module, the enterprise waste discharge type classification module and the vehicle transportation scheduling analysis and processing module, the waste dispersion and information acquisition module is respectively connected with the vehicle transportation scheduling analysis and processing module, the waste information analysis module and the cloud storage platform, the waste processing module is respectively connected with the enterprise waste placement information acquisition module, the waste information analysis module and the waste early warning terminal, and the cloud storage platform is also connected with the vehicle transportation scheduling analysis and processing module.
The enterprise waste throwing information acquisition module is used for acquiring the position of a waste treatment center in a designated park and acquiring basic throwing information which is correspondingly registered in the waste treatment center by each enterprise in the designated park;
in one embodiment, the basic drop information includes a location corresponding to each enterprise, a drop waste level, a number of drop waste types, a single drop waste volume, a single drop waste weight, and a hazard level corresponding to the drop waste.
According to the invention, the basic throwing information which is correspondingly registered by the enterprises in the waste treatment center is acquired, so that references are provided for the analysis of the wastes of the enterprises in the subsequent waste treatment center, the standardization of the throwing of the production wastes of the enterprises is facilitated, the safety of the throwing of the wastes of the enterprises is ensured, and the waste treatment efficiency of the waste treatment center is increased.
The enterprise waste emission type classification module is used for classifying each enterprise according to the put-in waste level registered by each enterprise to obtain the number of enterprises corresponding to the put-in waste level, numbering each put-in waste level, and marking the number of each enterprise corresponding to each put-in waste level as 1, 2.
The temporary waste information acquisition and processing module is used for acquiring temporary waste information corresponding to enterprises in the waste class, wherein the temporary waste information comprises volume and weight, and the number of the waste class to be transported and the enterprises corresponding to the waste class to be transported are screened out;
in the above, the temporary waste information collection process is as follows:
installing cameras above temporary placing areas corresponding to enterprises in each put-in waste level, and acquiring waste images of the temporary placing areas of the enterprises, thereby obtaining the volume of temporary placing waste of the enterprises;
a weight sensor is installed below a stocking area corresponding to each business in each put-in waste level, thereby detecting the weight of the stocking waste of the business.
In one embodiment, the method screens out the number of the to-be-transported put-in waste levels and each to-be-transported waste enterprise corresponding to each to-be-transported put-in waste level, and specifically screens out the to-be-transported waste enterprise according to the following steps:
temporary waste information corresponding to enterprises in each put waste level is obtained, wherein the temporary waste information comprises volume and weight, and further a calculation formula is adoptedObtaining the waste transportation demand coefficient psi corresponding to each enterprise in each put waste level ij Wherein V is ij 、M ij Expressed as volume, weight, V of the j-th enterprise temporary placed waste in the i-th placed waste class respectively ij ′、M i ′ j The volume of single-shot waste, the weight of single-shot waste, gamma, respectively, registered for the ith-shot waste level, jth enterprise 1 、γ 2 The method comprises the steps that transportation weight factors corresponding to the volume and the weight of set temporary waste of enterprises are respectively, i is the number of each put-in waste level, i=1, 2, & gt.
Comparing the waste transportation demand coefficient corresponding to each enterprise in each put-in waste level with the set standard enterprise waste transportation demand coefficient, and judging that the put-in waste level is a to-be-transported put-in waste level if the waste transportation demand coefficient corresponding to a certain enterprise in a certain put-in waste level is greater than or equal to the standard enterprise waste transportation demand coefficient, wherein the enterprise in the put-in waste level is a to-be-transported waste enterprise, so that the number of to-be-transported put-in waste levels and each to-be-transported waste enterprise corresponding to each to-be-transported put-in waste level are screened out in the mode.
According to the invention, temporary placed waste information corresponding to enterprises in each placed waste level is collected, so that the subsequent vehicle transportation scheduling is laid, the mixing condition of different levels of waste in the vehicle transportation process is avoided, the workload of personnel sorting is reduced, the sorting efficiency of personnel is effectively improved, meanwhile, the difficulty of waste danger level assessment is reduced, convenience is further provided for the subsequent industrial waste treatment, the secondary waste utilization rate is improved, and the environmental pollution degree is greatly reduced.
The vehicle transportation scheduling analysis and processing module is used for analyzing temporary put waste information corresponding to enterprises in each put-in waste level, and further confirming transportation vehicle types and transportation schemes corresponding to the enterprises of the waste to be transported in each put-in waste level to transport temporary put waste corresponding to the enterprises of the waste to be transported in each put-in waste level to be transported;
in one embodiment, the type of the transport vehicle corresponding to each waste enterprise to be transported in each waste grade to be transported is confirmed, and the specific confirmation process is as follows:
based on temporary waste information corresponding to enterprises of the wastes to be transported in the waste levels to be transported, counting to obtain comprehensive temporary waste objects and comprehensive temporary waste weights corresponding to the enterprises in the waste levels to be transported;
And correspondingly comparing the comprehensive temporary waste object area and the comprehensive temporary waste weight corresponding to enterprises in the waste class to be transported with the waste object accommodating area and the weight corresponding to each vehicle type in the cloud storage platform, and further confirming the transportation vehicle type corresponding to each waste enterprise to be transported in the waste class to be transported.
In yet another embodiment, the transportation scheme corresponding to each waste enterprise to be transported in each waste grade to be transported is confirmed in the following manner:
according to the positions corresponding to the waste enterprises to be transported in the waste levels to be transported, obtaining the transport schemes corresponding to the waste enterprises to be transported in the waste levels to be transported and the path lengths corresponding to the transport schemes, comparing the path lengths corresponding to the transport schemes with each other, screening the transport scheme with the shortest path length from the transport schemes, and using the transport scheme as the transport scheme corresponding to the waste enterprises to be transported in the waste levels to be transported, so as to confirm the transport scheme corresponding to the waste enterprises to be transported in the waste levels to be transported.
The waste dispersing and information collecting module is used for dispersing temporary placed waste corresponding to each waste enterprise to be transported in each waste level to be transported through a dispersing device on the waste conveyor belt when temporary placed waste corresponding to each waste enterprise to be transported in each waste level to be transported is transported to the waste treatment center, marking the dispersed temporary placed waste as target waste, and collecting characteristic information corresponding to the target waste;
Above-mentioned, dispersion devices are the vibrator, and it installs in the conveyer belt dispersion area's below, and when the discarded object passed through dispersion area, pause the conveyer belt operation to start the vibrator and shake the discarded object of piling up in the dispersion area, and then make the discarded object of piling up reach the dispersion effect, wherein, the judgement of dispersion effect is through carrying out dispersion area image acquisition according to the camera of laying in the dispersion area top, from this judgement to its dispersion effect, and when reaching the dispersion effect of settlement, stop the vibrator operation.
In the above, the characteristic information corresponding to the target discarding is collected, the characteristic information includes the number of types, the volume, the weight and the maximum risk level, and the specific collection process is as follows:
the method comprises the steps that image acquisition is carried out on target waste through cameras distributed above a dispersion area, noise reduction and filtering treatment are carried out on images of the target waste, so that characteristic images of the target waste are obtained, the characteristic images of the target waste are compared with characteristic images corresponding to various waste stored in a cloud storage platform, and the number of the types of the target waste is obtained;
correspondingly comparing the characteristic image of the target waste with the dangerous grades corresponding to various wastes stored in the cloud storage platform, further obtaining the dangerous grade corresponding to various wastes, and comparing the dangerous grade corresponding to various wastes to obtain the maximum dangerous grade of the target waste;
Identifying a comprehensive volume corresponding to the target waste from the target waste image;
and acquiring the comprehensive weight of the target waste by a weight sensor arranged below the dispersing area to obtain the comprehensive weight corresponding to the target waste.
According to the invention, the characteristic information of the waste corresponding to each waste to be transported enterprise in the types of the waste to be transported enterprises is collected, so that the laying is set for the judgment of the compliance of the waste to be transported by the enterprises in the subsequent waste treatment centers, the pertinence of the classification treatment of the industrial solid waste is greatly improved, and the process of waste treatment by the waste treatment centers is reduced.
The waste information analysis module is used for analyzing the characteristic information of the target waste corresponding to each waste enterprise to be transported in each waste grade to be transported, so as to obtain the waste delivery qualified influence coefficient corresponding to each waste enterprise to be transported in each waste grade to be transported;
in a specific embodiment, the characteristic information of the target waste corresponding to each waste enterprise to be transported in each waste grade to be transported is analyzed, and the analysis process is as follows:
Acquiring characteristic information of target wastes corresponding to enterprises of the wastes to be transported in the levels of the wastes to be transported, wherein the characteristic information comprises the number of types, the volume, the weight and the maximum danger level;
extracting the number of target waste types from the characteristic information of the target waste corresponding to each waste enterprise in each waste grade to be transported, and analyzing to obtain a qualified impact coefficient delta of the number of waste types corresponding to each waste enterprise in each waste grade to be transported i′j′ Wherein i 'is the number corresponding to each waste level to be transported and delivered, i' =1 ',2',..;
wherein the method comprises the steps ofN i′j′ For the target waste type number, N 'corresponding to the j' waste enterprise in the i 'waste to be transported and put in level' i′j′ The method comprises the steps that the number of waste types corresponding to a j 'waste enterprise to be transported in a waste treatment center in the i' waste to be transported and put in level is calculated;
extracting target waste volume from characteristic information of target waste corresponding to each waste enterprise in each waste grade to be transported, and analyzing to obtain a waste volume delivery qualified influence coefficient eta corresponding to each waste enterprise in each waste grade to be transported i′j′ ；
Wherein the method comprises the steps ofV i′j′ For the target waste volume, V 'corresponding to the j' waste enterprise in the i 'waste class to be transported and put in' i′j′ The method comprises the steps that the volume of single-time put waste which is correspondingly registered in a waste treatment center by a j 'waste enterprise to be transported in the i' waste level to be transported is set, and DeltaV is the set allowable enterprise put waste volume difference;
extracting the weight of the target waste from the characteristic information of the target waste corresponding to each waste enterprise to be transported in each waste grade to be transported, and analyzing to obtain each waste to be transportedQualified impact coefficient theta of waste weight delivery corresponding to each waste enterprise to be transported in waste delivery grade i′j′ ；
Wherein the method comprises the steps ofM i′j′ For the target waste weight, M 'corresponding to the j' waste enterprise in the i 'waste class to be transported and put in' i′j′ The method comprises the steps that the single-time waste throwing weight of a j 'waste to be conveyed enterprise in the i' waste to be conveyed grade is correspondingly registered in a waste treatment center, and DeltaM is the set waste throwing weight difference of a permitted enterprise;
extracting the maximum risk level of the target waste from the characteristic information of the target waste corresponding to each waste enterprise to be transported in each waste level to be transported, comparing the maximum risk level with the risk level of the waste to be transported registered by the enterprise in the waste treatment center, and if the risk level of the target waste corresponding to a certain waste enterprise to be transported in a certain waste level to be transported is greater than the risk level of the waste to be transported registered by the enterprise in the waste treatment center, marking the qualified influence coefficient of the risk level corresponding to the waste enterprise to be transported in the waste level to be transported as sigma 1 Otherwise, it is denoted as sigma 2 Thereby respectively obtaining the waste danger class delivery qualification influence coefficient zeta corresponding to each waste enterprise to be delivered in each waste class to be delivered i′j′ Wherein ζ i′j′ Take the value sigma 1 Or sigma 2 And sigma (sigma) 1 >σ 2 。
In one embodiment, the specific formula of the waste delivery qualification influence coefficient corresponding to each waste enterprise to be delivered in each waste class to be delivered is phi i′j′ ＝δ i′j′ *λ 1 +η i′j′ *λ 2 +θ i′j′ *λ 3 +ζ i′j′ *λ 4 Wherein phi is i′j′ Qualified waste delivery shadow corresponding to the j 'th waste enterprise in the i' th waste class to be deliveredCoefficient of response lambda 1 、λ 2 、λ 3 、λ 4 Respectively the set weight factors corresponding to the number, volume, weight and danger grade of the waste.
The waste treatment module is used for judging the compliance situation of the corresponding waste throwing of each waste enterprise to be transported in each waste throwing level, and extracting the number corresponding to the unqualified enterprise to be thrown;
in a specific embodiment, the compliance situation of the corresponding waste throwing of each waste enterprise to be transported in each waste throwing level is judged, and the specific judging process is as follows:
comparing the waste delivery qualified influence coefficient corresponding to each waste delivery enterprise in each waste delivery grade to be delivered with the set pre-warning enterprise waste delivery qualified influence coincidence coefficient;
If the waste release qualification influence coefficient corresponding to a certain waste release enterprise in the waste release level to be transferred is larger than the set early warning enterprise release waste qualification influence coincidence coefficient, judging that the waste released correspondingly by the waste release enterprise in the waste release level to be transferred is unqualified, marking the waste release enterprise to be a release unqualified enterprise, and confirming the unqualified type and number corresponding to the release unqualified enterprise, otherwise, judging that the waste released correspondingly by the waste release enterprise to be transferred in the waste release level to be transferred is qualified, and judging the compliance situation of the waste release corresponding to each waste release enterprise to be transferred in each waste release level to be transferred by the method.
In yet another embodiment, the reject type corresponding to the reject-in enterprise is confirmed, and the specific confirmation process is as follows:
extracting the number corresponding to the unqualified enterprise, and further acquiring the characteristic information of the target waste corresponding to the unqualified enterprise;
comparing the characteristic information of the target waste corresponding to the unqualified throwing enterprise with the basic throwing information which is registered in the waste treatment center correspondingly;
If the number of the target waste types corresponding to the unqualified putting enterprises is larger than the number of the waste types corresponding to the registration in the waste treatment center, judging that the unqualified type corresponding to the unqualified putting enterprises is the unqualified type number;
if the target waste volume corresponding to the unqualified throwing enterprise is larger than the single throwing waste volume correspondingly registered in the waste treatment center, judging that the unqualified type corresponding to the unqualified throwing enterprise is volume unqualified;
if the weight of the target waste corresponding to the unqualified throwing enterprise is larger than the weight of the single throwing waste correspondingly registered in the waste treatment center, judging that the unqualified type corresponding to the unqualified throwing enterprise is weight unqualified;
and if the maximum dangerous grade of the target waste corresponding to the unqualified throwing enterprise is greater than the dangerous grade corresponding to the throwing waste registered in the waste treatment center, judging that the unqualified type corresponding to the unqualified throwing enterprise is unqualified in dangerous grade.
The waste early warning terminal is used for receiving the numbers and the reject types corresponding to each reject enterprise and carrying out early warning.
In the above, the specific early warning process of the waste early warning terminal is as follows:
Acquiring the reject types corresponding to each reject-and-pass enterprise, if the reject type corresponding to a reject-and-pass enterprise is the reject of the number of types, sending the number and the reject type corresponding to the enterprise to a waste reject-and-pass management background, and carrying out reject-and-pass early warning prompt on the number of types;
if the reject type corresponding to a reject type of a certain reject enterprise is volume reject, the number and the reject type corresponding to the enterprise are sent to a waste reject management background, and volume reject early warning prompt is carried out;
if the reject type corresponding to an enterprise to be rejected is weight reject, the number and the reject type corresponding to the enterprise are sent to a waste delivery management background, and weight reject early warning prompt is carried out;
if the disqualified type corresponding to the unqualified enterprise is dangerous grade disqualification, the number and the disqualified type corresponding to the enterprise are sent to a waste throwing management background, and dangerous grade disqualification early warning prompt is carried out.
In a specific embodiment, the machine vision-based industrial solid waste intelligent classification processing monitoring management system further comprises a cloud storage platform for storing characteristic images corresponding to various types of wastes, risk levels corresponding to various types of wastes and volumes and weights of waste-containing objects corresponding to various vehicle types.
According to the invention, through analyzing the waste grade of enterprises, the transportation requirement and the waste put in by the enterprises, on one hand, the problem that the waste treatment center does not analyze the waste put in by the enterprises is solved, the planning of the vehicle path according to the waste transportation requirement is realized, the transportation path length of the vehicle is effectively shortened, the transportation efficiency of the vehicle is further improved, the loss of the fuel consumption of the vehicle is reduced, the cost of the vehicle transportation process is reduced, on the other hand, the problem that the existing method for classifying the waste type is not suitable for industrial solid waste is solved, the analysis of the qualified condition of the waste put in by the enterprises is realized, the compliance of the waste put in by the enterprises is effectively ensured, and the cost of the waste treatment by the enterprises is reduced.
The foregoing is merely illustrative and explanatory of the principles of the invention, as various modifications and additions may be made to the specific embodiments described, or similar thereto, by those skilled in the art, without departing from the principles of the invention or beyond the scope of the appended claims.

Claims (8)

1. An industrial solid waste intelligent classification processing monitoring management system based on machine vision is characterized in that: the system comprises:
The enterprise waste throwing information acquisition module is used for acquiring the position of a waste treatment center in a designated park and acquiring basic throwing information which is correspondingly registered in the waste treatment center by each enterprise in the designated park;
the enterprise waste emission type classification module is used for classifying each enterprise according to the put-in waste level registered by each enterprise to obtain the number of enterprises corresponding to the put-in waste level, numbering each put-in waste level, and marking the number of each enterprise corresponding to each put-in waste level as 1, 2.
The waste temporary placement information acquisition and processing module is used for acquiring temporary placement waste information corresponding to enterprises in each put-in waste level, and screening out the number of the put-in waste levels to be transported and the enterprises corresponding to the put-in waste levels to be transported;
the vehicle transportation scheduling analysis and processing module is used for analyzing temporary put waste information corresponding to enterprises in each put-in waste level, and further confirming transportation vehicle types and transportation schemes corresponding to the enterprises of the waste to be transported in each put-in waste level to transport temporary put waste corresponding to the enterprises of the waste to be transported in each put-in waste level to be transported;
The waste dispersing and information collecting module is used for dispersing temporary placed waste corresponding to each waste enterprise to be transported in each waste level to be transported through the dispersing device when temporary placed waste corresponding to each waste enterprise to be transported in each waste level to be transported is transported to the waste treatment center, marking the dispersed temporary placed waste as target waste, and collecting characteristic information corresponding to the target waste;
the waste information analysis module is used for analyzing the characteristic information of the target waste corresponding to each waste enterprise to be transported in each waste grade to be transported, so as to obtain the waste delivery qualified influence coefficient corresponding to each waste enterprise to be transported in each waste grade to be transported;
the characteristic information of the corresponding target waste of each waste enterprise to be transported in each waste grade to be transported is analyzed, and the analysis process is as follows:
acquiring characteristic information of target wastes corresponding to enterprises of the wastes to be transported in the levels of the wastes to be transported, wherein the characteristic information comprises the number of types, the volume, the weight and the maximum danger level;
extracting the number of target waste types from the characteristic information of the target waste corresponding to each waste enterprise in each waste grade to be transported, and analyzing to obtain a qualified impact coefficient delta of the number of waste types corresponding to each waste enterprise in each waste grade to be transported i′j′ Wherein i 'is the number corresponding to each waste level to be transported and delivered, i' =1 ',2',..;
wherein the method comprises the steps ofN i′j′ For the target waste type number, N 'corresponding to the j' waste enterprise in the i 'waste to be transported and put in level' i′j′ The method comprises the steps that the number of waste types corresponding to a j 'waste enterprise to be transported in a waste treatment center in the i' waste to be transported and put in level is calculated;
extracting target waste volume from characteristic information of target waste corresponding to each waste enterprise in each waste grade to be transported, and analyzing to obtain a waste volume delivery qualified influence coefficient eta corresponding to each waste enterprise in each waste grade to be transported i′j′ ；
Wherein the method comprises the steps ofV i′j′ For the target waste volume, V 'corresponding to the j' waste enterprise in the i 'waste class to be transported and put in' i′j′ The method comprises the steps that the volume of single-time put waste which is correspondingly registered in a waste treatment center by a j 'waste enterprise to be transported in the i' waste level to be transported is set, and DeltaV is the set allowable enterprise put waste volume difference;
Extracting target waste weight from characteristic information of target waste corresponding to each waste enterprise in each waste grade to be transported, and analyzing to obtain a waste weight transporting qualification influence coefficient theta corresponding to each waste enterprise in each waste grade to be transported i′j′ ；
Wherein the method comprises the steps ofM i′j′ For the target waste weight, M 'corresponding to the j' waste enterprise in the i 'waste class to be transported and put in' i′j′ The method comprises the steps that the single-time waste throwing weight of a j 'waste to be conveyed enterprise in the i' waste to be conveyed grade is correspondingly registered in a waste treatment center, and DeltaM is the set waste throwing weight difference of a permitted enterprise;
extracting the maximum risk level of the target waste from the characteristic information of the target waste corresponding to each waste enterprise to be transported in each waste level to be transported, comparing the maximum risk level with the risk level of the waste to be transported registered by the enterprise in the waste treatment center, and if the risk level of the target waste corresponding to a certain waste enterprise to be transported in a certain waste level to be transported is greater than the risk level of the waste to be transported registered by the enterprise in the waste treatment center, marking the qualified influence coefficient of the risk level corresponding to the waste enterprise to be transported in the waste level to be transported as sigma 1 Otherwise, it is denoted as sigma 2 Thereby respectively obtaining the waste danger class delivery qualification influence coefficient zeta corresponding to each waste enterprise to be delivered in each waste class to be delivered i′j′ Wherein ζ i′j′ Take the value sigma 1 Or sigma 2 And sigma (sigma) 1 >σ 2 ；
The specific formula of the waste delivery qualified influence coefficient corresponding to each waste enterprise in each waste class to be delivered is phi i′j′ ＝δ i′j′ *λ 1 +η i′j′ *λ 2 +θ i′j′ *λ 3 +ζ i′j′ *λ 4 Wherein phi is i′j′ For the waste delivery qualification influence coefficient, lambda corresponding to the j 'waste to be delivered enterprise in the i' waste to be delivered level 1 、λ 2 、λ 3 、λ 4 Respectively setting weight factors corresponding to the number, volume, weight and risk level of the waste;
the waste treatment module is used for judging the compliance situation of the corresponding waste throwing of each waste enterprise to be transported in each waste throwing level, and extracting the number corresponding to the unqualified enterprise to be thrown;
the waste early warning terminal is used for receiving the numbers and the reject types corresponding to each reject enterprise and carrying out early warning.
2. The machine vision-based intelligent industrial solid waste classification processing monitoring management system is characterized in that: the basic put information comprises a position corresponding to each enterprise, put waste levels, the number of put waste types, a single put waste volume, a single put waste weight and a dangerous level corresponding to put waste.
3. The machine vision-based intelligent industrial solid waste classification processing monitoring management system is characterized in that: the method comprises the steps of screening out the number of the to-be-transported put-in waste levels and each to-be-transported waste enterprise corresponding to each to-be-transported put-in waste level, wherein the specific screening process is as follows:
temporary waste information corresponding to enterprises in each put waste level is obtained, wherein the temporary waste information comprises volume and weight, and further a calculation formula is adoptedObtaining the waste transportation demand coefficient psi corresponding to each enterprise in each put waste level ij Wherein V is ij 、M ij Expressed as volume, weight, V 'of the j-th enterprise temporary waste in the i-th put-in waste class respectively' ij 、M′ ij The volume of single-shot waste, the weight of single-shot waste, gamma, respectively, registered for the ith-shot waste level, jth enterprise 1 、γ 2 The method comprises the steps that transportation weight factors corresponding to the volume and the weight of set temporary waste of enterprises are respectively, i is the number of each put-in waste level, i=1, 2, & gt.
Comparing the waste transportation demand coefficient corresponding to each enterprise in each put-in waste level with the set standard enterprise waste transportation demand coefficient, and judging that the put-in waste level is a to-be-transported put-in waste level if the waste transportation demand coefficient corresponding to a certain enterprise in a certain put-in waste level is greater than or equal to the standard enterprise waste transportation demand coefficient, wherein the enterprise in the put-in waste level is a to-be-transported waste enterprise, so that the number of to-be-transported put-in waste levels and each to-be-transported waste enterprise corresponding to each to-be-transported put-in waste level are screened out in the mode.
4. The machine vision-based intelligent industrial solid waste classification processing monitoring management system as claimed in claim 3, wherein: the specific confirmation process is as follows:
based on temporary waste information corresponding to enterprises of the wastes to be transported in the waste levels to be transported, counting to obtain comprehensive temporary waste objects and comprehensive temporary waste weights corresponding to the enterprises in the waste levels to be transported;
and correspondingly comparing the comprehensive temporary waste object area and the comprehensive temporary waste weight corresponding to enterprises in the waste class to be transported with the waste object accommodating area and the weight corresponding to each vehicle type in the cloud storage platform, and further confirming the transportation vehicle type corresponding to each waste enterprise to be transported in the waste class to be transported.
5. The machine vision-based intelligent industrial solid waste classification processing monitoring management system is characterized in that: the transportation scheme corresponding to each waste enterprise to be transported in each waste grade to be transported is confirmed by the following specific confirmation method:
According to the positions corresponding to the waste enterprises to be transported in the waste levels to be transported, obtaining transport schemes corresponding to the waste enterprises to be transported in the waste levels to be transported and path lengths corresponding to the transport schemes, comparing the path lengths corresponding to the transport schemes, screening the transport scheme with the shortest path length from the transport schemes, and taking the transport scheme as the transport scheme corresponding to the waste enterprises to be transported in the waste levels to be transported.
6. The machine vision-based intelligent industrial solid waste classification processing monitoring management system is characterized in that: the method comprises the steps of judging the compliance situation of the corresponding waste throwing of each waste enterprise to be transported in each waste class to be transported, wherein the specific judging process is as follows:
comparing the waste delivery qualified influence coefficient corresponding to each waste delivery enterprise in each waste delivery grade to be delivered with the set pre-warning enterprise waste delivery qualified influence coincidence coefficient;
if the waste release qualification influence coefficient corresponding to a certain waste release enterprise in the waste release level to be transferred is larger than the set early warning enterprise release waste qualification influence coincidence coefficient, judging that the waste released correspondingly by the waste release enterprise in the waste release level to be transferred is unqualified, marking the waste release enterprise to be a release unqualified enterprise, and confirming the unqualified type and number corresponding to the release unqualified enterprise, otherwise, judging that the waste released correspondingly by the waste release enterprise to be transferred in the waste release level to be transferred is qualified, and judging the compliance situation of the waste release corresponding to each waste release enterprise to be transferred in each waste release level to be transferred by the method.
7. The machine vision-based intelligent industrial solid waste classification processing monitoring management system is characterized in that: the reject type corresponding to the reject enterprise is confirmed, and the specific confirmation process is as follows:
extracting the number corresponding to the unqualified enterprise, and further acquiring the characteristic information of the target waste corresponding to the unqualified enterprise;
comparing the characteristic information of the target waste corresponding to the unqualified throwing enterprise with basic throwing information registered in the waste treatment center, and outputting the unqualified type corresponding to the unqualified throwing enterprise, wherein the unqualified type comprises unqualified types, unqualified volumes, unqualified weights and unqualified dangerous grades.
8. The machine vision-based intelligent industrial solid waste classification processing monitoring management system is characterized in that: the industrial solid waste intelligent classification processing monitoring management system based on machine vision further comprises a cloud storage platform, wherein the cloud storage platform is used for storing characteristic images corresponding to various wastes, dangerous grades corresponding to various wastes and the volume and weight of the waste accommodating objects corresponding to various vehicle types.
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