CN113642839B - Workflow self-adaptive renewable resource recycling system based on flow reconstruction - Google Patents
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- 230000008569 process Effects 0.000 description 10
- 238000005303 weighing Methods 0.000 description 9
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- 229920003023 plastic Polymers 0.000 description 4
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- 229910052751 metal Inorganic materials 0.000 description 2
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- 229910000831 Steel Inorganic materials 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 235000013361 beverage Nutrition 0.000 description 1
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- 238000011161 development Methods 0.000 description 1
- 230000018109 developmental process Effects 0.000 description 1
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- 238000005516 engineering process Methods 0.000 description 1
- 229910052742 iron Inorganic materials 0.000 description 1
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- 230000004048 modification Effects 0.000 description 1
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- G06K7/10—Methods or arrangements for sensing record carriers, e.g. for reading patterns by electromagnetic radiation, e.g. optical sensing; by corpuscular radiation
- G06K7/14—Methods or arrangements for sensing record carriers, e.g. for reading patterns by electromagnetic radiation, e.g. optical sensing; by corpuscular radiation using light without selection of wavelength, e.g. sensing reflected white light
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Abstract
The invention discloses a workflow self-adaptive renewable resource recovery system based on flow reconstruction, which comprises a characteristic extraction module, a characteristic database and a control module, wherein the characteristic extraction module is used for classifying renewable resources, extracting multi-element characteristics of the renewable resources and constructing the renewable resource characteristic database; the workflow segmentation module is used for segmenting the workflows of recycling and processing different renewable resources into mutually independent sub-flows, establishing an execution sequence table of the sub-flows, classifying the sub-flows, merging the sub-flows with the same function, and constructing a sub-flow database; the feature and workflow mapping module is used for constructing a mapping relation between the renewable resource feature database and the sub-flow database; the recycling module is used for obtaining the characteristics of the renewable resources to be recycled, determining recycling pricing and mode according to the characteristics, and determining recycling processing flow through the characteristics and workflow mapping module for recycling processing; the sales module is used for classifying and selling the processed products. The invention can improve the recycling efficiency of the renewable resources.
Description
Technical Field
The invention relates to the field of renewable resource recovery, in particular to a workflow self-adaptive renewable resource recovery system based on flow reconstruction.
Background
With the development of economy and society, various wastes in cities are increasing. The solid waste of 70-100 hundred million tons is produced annually and presents a continuously rising trend, and the total recycling amount of the renewable resources of the ten-class of waste iron and steel, waste nonferrous metals, waste plastics, waste tires, waste paper, waste electric and electronic products, scrapped motor vehicles, waste textiles, waste glass, waste batteries and the like in the last year is 32218.2 hundred million tons, which is increased by 14.2 percent. Although the recycling industry of the renewable resources has obvious effect at present, the problems such as low organization degree, low automation degree, low recovery rate of partial varieties and the like are also outstanding. In recent years, a new recovery mode of "internet+recovery" is gradually dominant in the field of renewable resource recovery, and how to improve recovery efficiency is a primary problem of renewable resource recovery.
Disclosure of Invention
The invention provides a workflow self-adaptive renewable resource recycling system based on flow reconstruction, which aims to overcome the technical problems.
The workflow self-adaptive renewable resource recycling system based on flow reconstruction is characterized by comprising a feature extraction module, a workflow segmentation module, a feature and workflow mapping module, a recycling module and a sales module,
the characteristic extraction module is used for classifying the renewable resources, extracting the multielement characteristics of the renewable resources, constructing a renewable resource characteristic database and storing the categories and the characteristics of the renewable resources;
the workflow segmentation module is used for segmenting different workflows for recycling and processing renewable resources, wherein the segmentation is to segment the workflows into mutually independent sub-flows, establish an execution sequence table of the sub-flows, classify according to the actions of the sub-flows, combine the sub-flows with the same actions, establish a sub-flow database, and store the sub-flows and the actions thereof;
the feature and workflow mapping module is used for constructing a mapping relation between the renewable resource feature database and the sub-flow database;
the recycling module is used for obtaining the characteristics of the renewable resources to be recycled, determining recycling pricing and recycling modes according to the characteristics, determining recycling processing flows through the characteristics and workflow mapping module, recycling and processing, and obtaining processed products;
the sales module is used for classifying the processed products and determining sales prices and sales modes according to different categories.
Preferably, creating the execution sequence table of the sub-processes refers to marking the sub-processes according to the execution priorities of the sub-processes, and storing the sub-process numbers and the marks in the execution sequence table.
Preferably, the construction of the mapping relationship between the renewable resource feature database and the sub-flow database means that when the role required by the sub-flow in the sub-flow database is confirmed to belong to the renewable resource feature set in the renewable resource feature database, determining that the sub-flow and the renewable resource feature set have the mapping relationship, and establishing the mapping relationship between the sub-flow and the renewable resource feature set.
Preferably, determining that the recycling process flow is performed by the feature and workflow mapping module refers to obtaining feature data of the renewable resources to be recycled, obtaining sub-flows corresponding to the mapping relationship between the renewable resource feature database and the sub-flow database according to the feature data, and sequencing the sub-flows to obtain the process flow.
Preferably, sorting refers to sorting sub-flows according to an execution sequence table, including but not limited to static sorting, which refers to determining a reclaimed process flow prior to processing, or dynamic sorting, which refers to determining a process flow in real-time with reference to an execution sequence table during processing.
The invention provides a workflow self-adaptive renewable resource recovery system based on flow reconstruction, which can classify renewable resources, extract multielement characteristics of the renewable resources, divide the flow of recycling and processing different types of renewable resources to obtain mutually independent recycling and processing sub-flows, and dynamically or statically sort the recycling and processing flows through the mapping relationship when the renewable resources are required to be recycled and processed by establishing the mapping relationship between the multielement characteristics and the recycling and processing sub-flows, so that the recycling and processing flows are reconstructed based on the characteristics, and the recycling efficiency of the renewable resources is improved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions of the prior art, the drawings that are needed in the embodiments or the description of the prior art will be briefly described below, it will be obvious that the drawings in the following description are some embodiments of the present invention, and that other drawings can be obtained according to these drawings without inventive effort to a person skilled in the art.
FIG. 1 is a block diagram of a system of the present invention.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the described embodiments are some embodiments of the present invention, but not all embodiments of the present invention. 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.
FIG. 1 is a block diagram of a system according to the present invention, as shown in FIG. 1, the method of this embodiment may include:
a workflow self-adaptive renewable resource recycling system based on flow reconstruction comprises a feature extraction module, a workflow segmentation module, a feature and workflow mapping module, a recycling module and a sales module,
the characteristic extraction module is used for classifying the renewable resources, including metals, plastics, paper products, electronic resources, rubber resources, glass and the like, extracting the multielement characteristics of the renewable resources, wherein the characteristics comprise images, bar codes, weight, internal information and the like of the renewable resources, for example, in the aspect of beverage bottle recovery, the roller drives the plastic bottle to scan the bar codes to realize recovery, and the plastic bottle bar codes are the characteristics; matching and identifying the package image shot during recycling with the characteristics of the standard package image stored in the database by identifying the renewable resources based on image acquisition and processing, wherein the package image is the characteristic; the recycling machine package based on the infrared grating detection adopts a bar code gun to scan bar code data of the package, adopts the infrared grating to collect shape characteristic data of the whole and specific parts of typical renewable resources, and realizes identification by matching the characteristics formed by the shape characteristic data with the shape characteristic configuration files in the database, wherein the shape characteristic data are characteristic.
In the aspect of books and magazines recycling, a user can select online registration, offline bar code recognition for second-hand books through recycling equipment and the like, and can also select direct recycling through a weighing mode, wherein the bar code and the weight of the second-hand books are characterized.
In the recycling aspect of the waste electronic mobile terminal, the type and the brand of the waste mobile terminal are identified through an image technology, scanning equipment is added on the basis of image sensing, the identification rate is improved by utilizing a scanning image on the back of the mobile terminal, or IMEI codes are obtained through input or scanning, or built-in configuration parameters of the mobile terminal are detected through a USB data line, or the information such as the brand, the type and the like of the waste mobile terminal is obtained through combining the image identification and the data line connection mode, and the front image, the back image, the IMEI codes, the built-in configuration parameters of the mobile terminal and the like of the waste electronic mobile terminal belong to the characteristics.
And constructing a renewable resource characteristic database, and storing the types and characteristics of the renewable resources, wherein the characteristic database continuously updates the types and characteristics of the renewable resources along with the operation of the recycling system.
The work flow dividing module is used for dividing the work flow of recycling and processing different renewable resources, the dividing is to divide the work flow into mutually independent sub-flows, for example, the recycling and processing flow of solid waste comprises a recycling and processing flow comprising a purchasing sub-flow, a weighing sub-flow, a sorting sub-flow, a packaging sub-flow and a storing sub-flow,
the work flow of the acquisition sub-flow is as follows: the resident or the renewable resource recoverer firstly weighs the total solid waste through the wagon balance.
The workflow of the weighing sub-flow is as follows: the solid wastes are respectively classified and weighed by small wagon balance; the resident or the renewable resource recycling person confirms the weight and the amount; the cashier pays the amount to the resident or the renewable resource recycling person.
The working flow of the sorting sub-flow is as follows: the sorter sorts the fine solid waste and puts the fine solid waste into a solid waste collecting device; and weighing the solid waste mobile phone devices respectively, and attaching a two-dimensional code to put the solid waste mobile phone devices into a temporary storage sub-process or a packaging sub-process after weighing.
The packing sub-process workflow is as follows: and (3) packing the solid waste by a packer, weighing, attaching a two-dimensional code, and putting the solid waste into a temporary storage sub-process by a forklift.
The storage sub-process workflow is: different solid waste products are orderly partitioned, and the movable wall body moves according to the amount of the solid waste, so that the utilization rate of a warehouse is highest.
In a specific application, the resident or the renewable resource recoverer sends the renewable resource to the purchasing sub-process, and after the purchasing sub-process is weighed by the first wagon balance, the renewable resource is immediately transported to the weighing sub-process, and the resident or the renewable resource recoverer is weighed by the small wagon balance in the weighing sub-process, so that the cost of the resident or the renewable resource recoverer is paid. And then the renewable resources enter a sorting sub-process, the workers sort, and the sorted renewable resources are stored in a storage area or a packing sub-process separated by a movable wall body.
Establishing an execution sequence table of the sub-processes, wherein the establishment of the execution sequence table of the sub-processes refers to marking the sub-processes according to the execution priority of the sub-processes, and storing the sub-process numbers and the marks in the execution sequence table. As in the recycling process flow for solid wastes, the execution sequence of the storage sub-flow is subsequent to the execution sequence of the weighing sub-flow.
Classifying according to the actions of the sub-processes, merging sub-processes with the same actions, constructing a sub-process database, and storing the sub-processes and the actions thereof.
The feature and workflow mapping module is used for constructing a mapping relation between the renewable resource feature database and the sub-flow database, namely when confirming that the role required by the sub-flow in the sub-flow database belongs to the renewable resource feature set in the renewable resource feature database, determining that the sub-flow and the renewable resource feature set have the mapping relation and establishing the mapping relation between the sub-flow and the renewable resource feature set.
The recycling module is used for obtaining the characteristics of the renewable resources to be recycled, determining recycling pricing and recycling modes according to the characteristics, determining recycling processing flow through the characteristics and workflow mapping module, recycling the processed products, determining recycling processing flow through the characteristics and workflow mapping module, namely obtaining the characteristic data of the renewable resources to be recycled, obtaining the corresponding sub-flows in the mapping relation between the renewable resource characteristic database and the sub-flow database according to the characteristic data, and sequencing the sub-flows to obtain the processing flow. Sequencing refers to sequencing sub-processes according to an execution sequence table, including but not limited to static sequencing, which refers to determining a reclaimed process flow prior to processing, or dynamic sequencing, which refers to determining a process flow in real-time with reference to an execution sequence table during processing.
The sales module is used for classifying the processed products and determining sales prices and sales modes according to different categories.
The whole beneficial effects are that:
the invention can classify the renewable resources, extract the multielement characteristics of the renewable resources, divide the processes of recycling and processing the renewable resources of different categories to obtain mutually independent recycling and processing sub-processes, and when the renewable resources are required to be recycled and processed, the recycling and processing processes are dynamically or statically ordered through the mapping relationship by establishing the mapping relationship between the multielement characteristics and the recycling and processing sub-processes, so that the process of recycling and processing the renewable resources is reconstructed based on the characteristics, and the recycling efficiency of the renewable resources is improved.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solution of the present invention, and not for limiting the same; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some or all of the technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit of the invention.
Claims (2)
1. The workflow self-adaptive renewable resource recycling system based on flow reconstruction is characterized by comprising a feature extraction module, a workflow segmentation module, a feature and workflow mapping module, a recycling module and a sales module,
the characteristic extraction module is used for classifying the renewable resources, extracting the multielement characteristics of the renewable resources, constructing a renewable resource characteristic database and storing the categories and the characteristics of the renewable resources;
the workflow segmentation module is used for segmenting different workflows for recycling and processing renewable resources, wherein the segmentation is to segment the workflows into mutually independent sub-flows, establish an execution sequence table of the sub-flows, classify according to the actions of the sub-flows, combine the sub-flows with the same actions, establish a sub-flow database, and store the sub-flows and the actions thereof;
the feature and workflow mapping module is used for constructing a mapping relation between a renewable resource feature database and a sub-flow database, wherein the construction of the mapping relation between the renewable resource feature database and the sub-flow database means that when confirming that the role required by the sub-flow in the sub-flow database belongs to a renewable resource feature set based on the renewable resource feature database, the mapping relation between the sub-flow and the renewable resource feature set is determined, and the mapping relation between the sub-flow and the renewable resource feature set is established;
the recycling module is used for obtaining the characteristics of the renewable resources to be recycled, determining recycling pricing and recycling modes according to the characteristics, determining recycling processing flows through the characteristics and workflow mapping module refers to obtaining characteristic data of the renewable resources to be recycled, obtaining sub-flows corresponding to the mapping relationship between the renewable resource characteristics database and the sub-flow database according to the characteristic data, sorting the sub-flows to obtain processing flows, sorting the sub-flows according to an execution sequence table, including but not limited to static sorting or dynamic sorting, determining recycling processing flows before processing, determining the processing flows in real time with reference to the execution sequence table during processing,
obtaining a processed product;
the sales module is used for classifying the processed products and determining sales prices and sales modes according to different categories.
2. The workflow adaptive renewable resource recycling system based on flow reconstruction of claim 1, wherein the establishment of the execution sequence table of the sub-flows is to mark the sub-flows according to the execution priorities of the sub-flows, and the sub-flow numbers and the marks are stored in the execution sequence table.
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