Waste and old material disassembling, recycling and reusing management system

Abstract

The invention discloses a waste and old material disassembling, recycling and reusing management system, and relates to the technical field of waste disassembling, and the system comprises a waste value evaluation module, a waste component analysis module, a personalized recycling scheme generation module, an intelligent warehouse management module, and a quality detection and feedback module. According to the waste disassembling, recycling and reusing management system, various characteristics of waste can be comprehensively considered through accurate waste value evaluation, high-value waste can be accurately recognized, specific recycling processes are formulated for different types of waste, excessive treatment of low-value waste and insufficient treatment of high-value waste are avoided, and the waste disassembling, recycling and reusing management system is suitable for large-scale popularization and application. And meanwhile, classified storage can be carried out according to the value and components of the waste through intelligent warehouse management, high-value waste can be conveniently and rapidly positioned and selected for priority treatment in the recovery treatment process, and the resource recovery efficiency and speed are greatly improved.

Description

Technical Field

[0001] The present invention relates to the technical field of waste disassembly, and specifically to a management system for the disassembly, recycling and reuse of waste materials. Background Art

[0002] With the rapid development of the global economy and the continuous growth of the population, the generation of various wastes is increasing continuously, which not only causes great pressure on the ecological environment but also wastes a large amount of precious resources. The wastes contain rich recyclable materials such as metals, plastics, electronic components, etc. Through effective disassembly, recycling and reuse, the dependence on primary resources can be reduced, energy consumption can be lowered, and at the same time, the environmental burden can be alleviated.

[0003] However, the existing waste management systems rely on static price lists and manual experience judgment in waste value assessment, which is not only time-consuming and laborious but also difficult to reflect the impact of market fluctuations on waste value in a timely manner. For wastes of different materials and qualities, there are great differences in their potential recycling values, but the existing waste management systems cannot provide value analysis accurate to specific batches. At the same time, there is a lack of pertinence and scientific nature in waste storage, and wastes cannot be classified and stored according to their values and components, which easily leads to the mixing of high-value wastes and low-value wastes, increasing the management cost and the risk of value loss.

[0004] In summary, the existing waste recycling and treatment systems have obvious deficiencies in waste value assessment and warehousing management, and cannot meet the growing demands for resource recovery and environmental protection. Therefore, it is urgent to develop a waste disassembly, recycling and reuse management system that can accurately evaluate waste value, formulate personalized recycling plans and conduct intelligent warehousing management. Summary of the Invention

[0005] The purpose of the present invention is to make up for the deficiencies of the existing technology and provide a management system for the disassembly, recycling and reuse of waste materials. The system comprehensively evaluates the waste by precise value assessment and personalized recycling plans, combined with the characteristics of the waste materials and qualities, so as to provide an accurate economic value for each waste and ensure the most effective utilization of resources.

[0006] To solve the above technical problems, the present invention provides the following technical solutions: A management system for the disassembly, recycling and reuse of waste materials, which includes a waste value assessment module, a waste component analysis module, a personalized recycling plan generation module, an intelligent warehousing management module, and a quality inspection and feedback module; The waste value assessment module uses big data analysis and market prices for dynamic monitoring, and real-time evaluates the value of each type of waste to calculate its potential recycling value, where: Value assessment is carried out on metal wastes according to the market price fluctuations of different metals, as well as the purity and content of metals in the wastes, that is , where is the value of metal wastes, is the percentage of metal purity, is the metal type coefficient, is the market price fluctuation adjustment factor; For electronic wastes, calculate the market value of recoverable rare metals and components therein, that is , where is the value of electronic wastes, is the value coefficient of rare metal content, is the content of rare metals, is the value coefficient of components, is the value of recoverable components, is the condition coefficient of electronic wastes; For plastic wastes, analyze their material types and reprocessability to determine the value, that is , where is the value of plastic wastes, is the value coefficient of material type, is the corresponding value of plastic material, is the reprocessing difficulty adjustment coefficient, is the reprocessing difficulty value; After completing the value assessment, the waste composition analysis module conducts composition analysis on the wastes; Based on the potential recovery value determined by the waste value assessment module and the results of the waste composition analysis module, the personalized recovery plan generation module formulates a targeted recovery plan; According to the waste value assessment results and composition analysis results, the intelligent warehousing management module classifies and stores wastes with different values and compositions, that is, for high-value wastes, storage space is preferentially allocated and strict inventory monitoring is carried out, and for wastes containing harmful substances, a special storage area is set up for isolation and protection. The storage status of various wastes is mastered through real-time inventory monitoring, and an early warning is automatically issued when the inventory reaches the threshold; The quality inspection and feedback module conducts quality inspection on the wastes after recycling and storage treatment, and feeds back the inspection results to the waste value assessment module and the personalized recovery plan generation module to optimize and adjust the value assessment and recovery plan. Wastes that do not meet the standards are reprocessed and the recovery plan is adjusted.

[0007] Furthermore, the waste composition analysis module conducts composition analysis on the wastes, where: For metal wastes, determine the types and proportions of various metals therein, as well as the content of impurity elements; For electronic waste, analyze the types of electronic components, the content of rare metals, and the proportions of plastic and glass components; For plastic waste, determine its plastic material and additive components.

[0008] Furthermore, for the determination of the metal ratio in metal waste by the waste composition analysis module Specifically: The metal waste contains types of metals. For the th metal, its ratio is , where represents the ratio of the th metal in the metal waste, represents the mass of the th metal, and represents the total mass of all metals. For the determination of the impurity element content, a comparative analysis method is used. The measured spectral characteristics are compared with the spectral characteristics of pure metals. The elements corresponding to the different parts are the impurity elements. The calculation formula for the impurity element content is , where represents the content of the th impurity element, represents the spectral intensity corresponding to the th impurity element, and represents the total spectral intensity corresponding to all impurity elements.

[0009] Furthermore, the waste composition analysis module disassembles and analyzes electronic waste, where: For the determination of the types of electronic components, different component types are identified through image recognition technology and database comparison; For the determination of the content of rare metals , a chemical analysis method is used. The electronic waste is dissolved, and the content of rare metals is detected and determined through chemical reactions. That is, the electronic waste contains types of rare metals. For the th rare metal, its content is , where represents the content of the th rare metal in the electronic waste, represents the mass of the th rare metal, and represents the total mass of the electronic waste; For the determination of the proportions of plastic and glass components, a physical separation method is used. After separating the plastic and glass components, they are weighed separately. The proportion is , where represents the proportion of the plastic component, represents the proportion of the glass component. represents the mass of the plastic component represents the mass of the glass component

[0010] Furthermore, for plastic waste, the waste component analysis module uses chemical analysis methods to determine its plastic material and additive components. By heating and treating the plastic waste with chemical reagents, observing its reaction characteristics and products, the plastic material is determined. For the determination of additive components, chromatographic analysis technology is used to separate different additive components and detect them. That is, the plastic waste contains types of additives. For the th additive, its content calculation formula is , where represents the content of the th additive in the plastic waste represents the mass of the th additive represents the total mass of the plastic waste

[0011] Furthermore, the recycling plan of the personalized recycling plan generation module is specifically as follows: For metal waste with high value and high purity, it is given priority for rapid collection and then subjected to efficient smelting and purification. For high-value metal waste containing impurities, it is first pretreated; For electronic waste with high value and high rare metal content, fine disassembly technology is used, and professional technicians carry out classified disassembly and recycling in a dust-free environment; For plastic waste with high value and reprocessability, it is crushed and reprocessed according to its material and additives; For metal, electronic and plastic waste with low value and no reuse value, harmless treatment is carried out

[0012] Furthermore, the intelligent warehousing management module classifies and stores waste with different values and components, and determines the storage priority and required storage space for different waste. That is, the storage priority of the waste is , the value evaluation value is , the harmful substance content is , the quantity is , then the storage priority is , where , , are weight coefficients. For the required storage space , it is determined according to the volume of the waste, the packaging coefficient and the storage density coefficient , that is , where , for high-value waste, reduce the storage density coefficient , provide a safe storage environment, and increase the packaging coefficient for waste with a high content of harmful substances , for isolation and protection.

[0013] Furthermore, the intelligent warehousing management module uses a sensor network to obtain real-time information on the quantity, location, and storage time of various types of waste in the warehouse. For the quantity information, by measuring the volume and weight of the waste in the area and combining with the density data of the waste, calculate the current inventory quantity, that is, the current inventory quantity of different waste is , the total volume measured is , the average density of the waste is , then , and the total storage capacity of the warehouse ; For the location information, mark and locate each batch of waste to keep track of its specific location in the warehouse at any time; The storage time information is recorded by the time when the waste enters the warehouse and updated in real time.

[0014] Furthermore, the intelligent warehousing management module sets the inventory threshold to according to the waste value evaluation results , storage priority and the storage capacity of the warehouse , then , where , , are adjustment coefficients. When the real-time monitored inventory quantity reaches the inventory threshold , the system automatically sends out a warning signal. The warning signal can be sent to the management personnel in the form of sound and light alarm to adjust the recycling strategy, increase the warehouse storage space, and speed up the waste treatment progress. At the same time, conduct historical analysis and trend prediction on the inventory data to predict the future inventory change trend and provide decision support for the adjustment of warehouse management and recycling strategy. Define the predicted inventory quantity in the th period as , the actual inventory quantity is , the smoothing coefficient is , then , by continuously adjusting the smoothing coefficient , make the prediction result accurately reflect the actual inventory change trend.

[0015] Compared with the prior art, the waste material disassembly, recycling and reuse management system has the following beneficial effects: 1. The waste disassembly, recycling and reuse management system of the present invention can comprehensively consider various characteristics of waste through accurate waste value assessment, accurately identify high-value waste, and formulate specific recycling processes for different types of waste, avoiding over-treatment of low-value waste and under-treatment of high-value waste, so that resources can be recycled and utilized optimally. At the same time, intelligent warehouse management can classify and store according to waste value and composition, facilitating quick positioning and selection of high-value waste for priority treatment during the recycling process, greatly improving the efficiency and speed of resource recycling.

[0016] 2. The system conducts precise component analysis on various types of waste, can clarify the specific substance composition in different waste, enabling more accurate classification and storage according to the component characteristics of the waste, ensuring that its value is protected to the greatest extent. In the subsequent recycling and treatment stage, this precise storage method can quickly find the target waste and select the most suitable treatment process according to its component characteristics, greatly improving the efficiency and quality of recycling and treatment, realizing seamless connection from waste component analysis to storage and then to treatment, and providing strong guarantee for the efficient operation of the waste disassembly, recycling and reuse management system.

[0017] Other advantages, objectives and features of the present invention will be described to some extent in the subsequent specification, and to some extent, will be obvious to those skilled in the art based on the study of the following text, or can be taught from the practice of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, the following drawings are only some embodiments of the present invention, and those of ordinary skill in the art can obtain other drawings without creative efforts based on these drawings.

[0019] Figure 1 It is an operation flow chart of a waste material disassembly, recycling and reuse management system; Figure 2 It is a flow chart of a waste material disassembly, recycling and reuse management system. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0020] The following will clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, rather than all embodiments. All other embodiments obtained by those of ordinary skill in the art without creative efforts based on the embodiments of the present invention belong to the scope of protection of the present invention. Embodiment 1

[0021] This embodiment describes the application of a waste material disassembly, recycling and reuse management system in an electronic manufacturing enterprise. Through modules such as waste value assessment, component analysis, personalized recycling plan generation, intelligent warehousing management, and quality inspection and feedback, this system effectively processes the electronic waste generated by electronic manufacturing enterprises, improves resource recovery efficiency and economic benefits, and at the same time reduces the impact on the environment.

[0022] In specific implementation, there are various types of electronic waste generated by electronic manufacturing enterprises, including waste circuit boards, electronic components, and waste electronic products. The waste value assessment module uses big data analysis and market price dynamic monitoring technologies to conduct real-time value assessment on these electronic wastes. For waste circuit boards, which contain various metals such as copper, gold, silver, etc., according to the formula , by analyzing the purity percentage of metals in the circuit board , combined with different metal type coefficients and market price fluctuation adjustment factors , calculate the value of the metal part in the circuit board , for electronic components, consider the market value of recyclable rare metals and parts in them, and use the formula , for the content of rare metals in waste chips being , the value coefficient of rare metal content determined according to the market price of rare metals, the value coefficient of recyclable parts determined by the recycling price of parts in the market, and the electronic waste condition coefficient comprehensively consider factors such as the integrity and reusability of the chip, so as to calculate the value of the chip . Through the value assessment of various types of electronic waste, it provides an important basis for subsequent recycling and treatment.

[0023] Then, after completing the value assessment, the waste component analysis module conducts component analysis on the electronic waste. For waste circuit boards, spectral analysis technology is used to determine the types and proportions of various metals and the content of impurity elements in them. Through spectral analysis, it is determined that in addition to the main copper, gold, and silver, the circuit board also contains a small amount of lead as an impurity. For the determination of the metal ratio, according to the formula , where is the number of metal types. If there are 3 metals (copper, gold, silver), by measuring the mass of each metal , calculate their proportions in the circuit board . For the determination of the impurity element content, the method of comparative analysis is used. Compare the measured spectral characteristics with the spectral characteristics of pure metals, and the elements corresponding to the different parts are the impurity elements. Calculate the impurity element content according to the formula , where is the spectral intensity corresponding to the impurity element, is the number of impurity element types; for electronic components, professional equipment is used for disassembly and analysis, and different component types such as resistors, capacitors, transistors, etc. are identified through image recognition technology and database comparison. For the determination of rare metal content, chemical analysis methods are used to dissolve the electronic components, and then the content of rare metals is determined through chemical reactions and detection methods. For example, for an electronic component containing multiple rare metals, according to the formula , by measuring the mass of rare metals and the total mass of the electronic components , calculate the content of rare metals in the components ; To determine the ratio of plastic and glass components, a physical separation method is used to separate the plastic and glass components and weigh them separately. According to the formula , Calculate the ratio, where For the quality of the plastic component, is the mass of the glass component.

[0024] Subsequently, based on the potential recycling value determined by the waste value assessment module and the results of the waste composition analysis module, the personalized recycling plan generation module has developed a targeted recycling plan for electronic manufacturing companies. Specifically, for waste circuit boards with high value and high purity metal parts, priority is given to rapid collection and sent to professional metal processing plants for efficient smelting and purification; for high-value circuit boards containing impurities, according to the type and content of impurities, appropriate pretreatment methods are selected, such as chemical leaching to remove impurities such as lead; for electronic components with high value and high rare metal content, fine disassembly technology is used, and professional technicians classify, disassemble and recycle them in a dust-free environment; for low-value and non-recyclable electronic waste, harmless treatment is carried out. For example, for some waste ordinary resistors, capacitors and other components, high-temperature incineration is used for harmless treatment to ensure that no secondary pollution is generated during the treatment process.

[0025] Next, the intelligent storage management module classifies and stores the electronic waste of electronic manufacturing enterprises according to the results of waste value assessment and component analysis. For high-value waste, such as electronic components containing high-value chips and circuit boards of high-purity metals, safe and appropriate storage space is allocated first, and strict inventory monitoring is carried out. For example, these high-value wastes are stored in a constant temperature and humidity environment to prevent them from being damaged by environmental factors, and the storage priority of the waste is set as The value assessment value is , the harmful substance content is , the number is , the storage priority is , for these high-value wastes, The value is relatively high, the value is relatively low. For the value is determined according to the actual quantity by adjusting the weight coefficient , , to make its storage priority higher and allocate storage space preferentially; for the required storage space , according to the volume of the waste , packaging coefficient and storage density coefficient it is determined, that is , for high-value waste, the storage density coefficient is appropriately reduced to provide a more spacious and safe storage environment. For electronic waste with a high content of harmful substances, such as circuit boards containing heavy metals like lead, a dedicated storage area is set up for strict isolation and protection. At the same time, using a sensor network, information on the quantity, location, and storage time of various types of electronic waste in the warehouse is obtained in real time. For the quantity information, by measuring the volume and weight of the electronic waste in the area and combining with the density data of the electronic waste, the current inventory quantity is calculated, that is, the current inventory quantity of different wastes is , the total volume measured is , the average density of the electronic waste is , then , and the total storage capacity of the warehouse is ; for the location information, each batch of electronic waste is marked and located to keep track of its specific location in the warehouse at any time; the storage time information is recorded by the time when the electronic waste enters the warehouse and is updated in real time. When the inventory reaches a certain threshold, an early warning signal is automatically sent to remind timely processing or adjustment of the recycling strategy. For example, according to the waste value assessment result , storage priority and the storage capacity of the warehouse factors, the inventory threshold is set to , then , where , , are adjustment coefficients. When the real-time monitored inventory quantity reaches the inventory threshold , the system automatically sends an early warning signal. The early warning signal can be sent to the management personnel in the form of audible and visual alarms to adjust the recycling strategy, increase the warehouse storage space, and speed up the waste treatment progress. At the same time, historical analysis and trend prediction of the inventory data are carried out to predict the future inventory change trend and provide decision support for warehouse management and adjustment of the recycling strategy. Define the predicted inventory quantity in the th period as , and the actual inventory quantity is , the smoothing coefficient is , then , by continuously adjusting the smoothing coefficient , so that the prediction result can accurately reflect the actual inventory change trend.

[0026] Finally, the quality inspection and feedback module conducts quality inspection on the recycled and stored electronic waste. For the metals that have been smelted and purified, it is detected whether their purity meets the relevant standards. For example, for the copper purified from the circuit board, it is detected whether its purity reaches above the industrial standard requirements. For the recycled electronic components, it is checked whether their performance meets the requirements for reuse. For the recycled chips, it is detected whether their functions are normal and whether they can be used normally in other electronic devices. The inspection results are fed back to the waste value evaluation module and the personalized recycling plan generation module. If the inspection results show that the metal purity does not meet the standard, the waste value evaluation module will re-evaluate its value, and the personalized recycling plan generation module will adjust the recycling plan to increase the purification times. For the electronic components whose performance does not meet the requirements, they will be further repaired and their value and recycling plan will be re-evaluated.

[0027] In summary, this embodiment elaborates in detail the application of a waste disassembling, recycling and reusing management system in an electronic manufacturing enterprise. Through accurate waste value evaluation and personalized recycling plans, high-value waste is preferentially processed, avoiding over-treatment of low-value waste and under-treatment of high-value waste. At the same time, the waste value is accurately evaluated and finely processed and stored, improving the added value of the recycled products and bringing additional economic benefits to the enterprise. Embodiment 2

[0028] This embodiment elaborates on the application of a waste disassembling, recycling and reusing management system in an automobile manufacturing enterprise. The system covers modules such as waste value evaluation, component analysis, personalized recycling plan generation, intelligent warehousing management, and quality inspection and feedback, aiming to efficiently process various wastes generated during the automobile manufacturing process to improve resource recycling efficiency, reduce production costs, and reduce adverse environmental impacts.

[0029] In specific implementation, an automobile manufacturing enterprise generates a large amount of metal waste and plastic waste. The waste value evaluation module uses big data analysis and market price dynamic monitoring technologies to conduct real-time value evaluation on these wastes. For metal waste, such as automobile body frames, engine parts, etc., the value is evaluated according to the formula Taking the body frame as an example, by analyzing the purity percentage of the metal in it , combined with different metal type coefficients and the market price fluctuation adjustment factor , calculate the value of the vehicle body frame ; For plastic waste, such as automotive interior plastic parts, use the formula to evaluate the value, analyze its material type and reprocessability to determine the relevant coefficients, and the value coefficient of the material type is determined according to the value of different plastic materials in the market, and the adjustment coefficient for the difficulty of reprocessing comprehensively considers factors such as the aging degree of the plastic and the additive components, and the corresponding value of the plastic material is determined according to the actual plastic material, so as to calculate the value of the plastic waste , After completing the value assessment, the waste component analysis module conducts a component analysis of automotive manufacturing waste. For metal waste, techniques such as spectral analysis are used to determine the types and proportions of various metals and the content of impurity elements therein. For example, for the vehicle body frame, in addition to the main steel components, it also contains a small amount of other metal impurities. Through the formula to determine the metal proportion, where is the number of metal types, and measure the mass of each metal to calculate the proportion; for the content of impurity elements, a comparative analysis method is used to compare the measured spectral characteristics with the spectral characteristics of pure metals, and calculate the content of impurity elements according to the formula , where is the spectral intensity corresponding to the impurity element, is the number of impurity element types; for plastic waste, chemical analysis methods are used to determine its plastic material and additive components. By heating and treating the plastic waste with chemical reagents, observe its reaction characteristics and products to determine the plastic material. For the determination of additive components, chromatographic analysis techniques are used to separate different additive components and conduct detections. If the plastic waste contains types of additives, for the th type of additive, its content calculation formula is , where represents the content of the th type of additive in the plastic waste, represents the mass of the th type of additive, represents the total mass of the plastic waste.

[0030] Then, based on the potential recovery value determined by the waste value assessment module and the results of the waste composition analysis module, the personalized recycling plan generation module formulates a targeted recycling plan for automobile manufacturing enterprises, including: for high-value and high-purity metal waste, such as high-quality body frames, prioritize rapid collection and send them to professional metal processing plants for efficient smelting and purification; for high-value metal waste containing impurities, select appropriate pretreatment methods according to the types and contents of impurities, such as physical separation or chemical leaching to remove impurities; for plastic waste, select appropriate crushing and reprocessing processes according to its material and additive conditions. For polypropylene plastic interior parts with strong reprocessability, extrusion molding processes can be used for reprocessing to produce products meeting the requirements of automobile interiors; for plastic waste with special materials or complex additives, conduct in-depth composition analysis and process tests first to determine the best recycling treatment plan.

[0031] Subsequently, the intelligent warehousing management module classifies and stores the waste of automobile manufacturing enterprises according to the waste value assessment results and composition analysis results; for high-value waste, such as high-quality metal waste and valuable plastic waste, prioritize the allocation of safe and appropriate storage spaces and conduct strict inventory monitoring. Define the storage priority of waste as , the value assessment value is , the harmful substance content is , the quantity is , then the storage priority is , for these high-value wastes, the value is relatively high, the , , value is relatively low, that is, the harmful substance content of metal waste is relatively low, and the harmful substance content of plastic waste is determined through composition analysis, the value is determined according to the actual quantity. By adjusting the weight coefficients and , make its storage priority relatively high and prioritize the allocation of storage spaces; for the required storage space , it is determined according to the volume of the waste, packaging coefficient The current inventory quantity is , the measured total volume is , the average density of the waste is , then , and the total storage capacity of the warehouse ; For location information, each batch of waste is marked and located to keep track of its specific location in the warehouse at any time; The storage time information is recorded by the time when the waste enters the warehouse and is updated in real time. When the inventory reaches a certain threshold, an early warning signal is automatically sent out to remind timely processing or adjustment of the recycling strategy, that is, according to the waste value assessment results , storage priority as well as the storage capacity of the warehouse factors, the inventory threshold is set to , then , where , , are adjustment coefficients. When the real-time monitored inventory quantity reaches the inventory threshold , the system automatically sends out an early warning signal. The early warning signal is sent to the management personnel in the form of sound and light alarms to adjust the recycling strategy, increase the warehouse storage space and speed up the waste treatment progress. At the same time, historical analysis and trend prediction are carried out on the inventory data to predict the future inventory change trend. The coefficient is , then , by continuously adjusting the smoothing coefficient , the prediction result can accurately reflect the actual inventory change trend.

[0032] Finally, the quality inspection and feedback module conducts quality inspection on the automotive manufacturing waste after recycling and storage. For the melted and purified metal, check whether its purity meets the relevant standards. For the reprocessed plastic products, check whether their physical and chemical properties meet the requirements for applications such as automotive interiors; The inspection results are fed back to the waste value assessment module and the personalized recycling plan generation module. If the inspection results show that the metal purity does not meet the standard, the waste value assessment module will re-evaluate its value, and the personalized recycling plan generation module will adjust the recycling plan and increase the purification times. If the plastic product performance does not meet the requirements, it will be further adjusted, the process parameters will be improved, and its value and recycling plan will be re-evaluated.

[0033] In summary, through the application effect of the waste disassembly, recycling and reuse management system in automotive manufacturing enterprises in this embodiment, the resource recycling efficiency can be effectively improved, the economic benefits can be increased, and the environmental impact can be reduced.

[0034] It is obvious to those skilled in the art that the present invention is not limited to the details of the above-described exemplary embodiments, and that the present invention can be implemented in other specific forms without departing from the spirit or essential characteristics of the present invention. Therefore, in all respects, the embodiments should be regarded as exemplary and non-restrictive. The scope of the present invention is defined by the appended claims rather than the above description. Therefore, all changes falling within the meaning and scope of the equivalent elements of the claims are intended to be embraced within the present invention. Any reference signs in the claims should not be construed as limiting the claimed invention.

Claims

1. A management system for disassembling, recycling and reusing waste materials, characterized in that, The system includes a waste value assessment module, a waste composition analysis module, a personalized recycling plan generation module, an intelligent warehousing management module, and a quality inspection and feedback module; The waste value assessment module uses big data analysis and market prices for dynamic monitoring, and conducts value assessment on each type of waste in real time to calculate its potential recycling value, where: Value assessment is carried out on metal wastes according to the market price fluctuations of different metals, as well as the purity and content of metals in the wastes, that is , where is the value of metal wastes, is the percentage of metal purity, is the metal type coefficient, is the market price fluctuation adjustment factor; Calculate the market value of the recyclable rare metals and components in electronic waste, that is , where is the value of electronic waste, is the value coefficient of rare metal content, is the rare metal content, is the value coefficient of components, is the value of recyclable components, is the condition coefficient of electronic waste; Analyze the material type and reprocessability of plastic waste to determine its value, that is , where is the value of plastic waste, is the value coefficient of the material type, is the corresponding value of the plastic material, is the adjustment coefficient of the reprocessing difficulty, is the value of the reprocessing difficulty; After the waste value assessment is completed, the waste composition analysis module conducts composition analysis on the waste; Based on the potential recycling value determined by the waste value assessment module and the results of the waste composition analysis module, the personalized recycling plan generation module formulates a targeted recycling plan; According to the waste value assessment results and composition analysis results, the intelligent warehousing management module classifies and stores wastes of different values and compositions. That is, for high-value wastes, storage space is preferentially allocated and strict inventory monitoring is carried out. For wastes containing harmful substances, a dedicated storage area is set up for isolation and protection. The storage status of various wastes is mastered through real-time inventory monitoring, and an early warning is automatically issued when the inventory reaches the threshold; The quality inspection and feedback module conducts quality inspection on the wastes after recycling and storage treatment, and feeds back the inspection results to the waste value assessment module and the personalized recycling plan generation module to optimize and adjust the value assessment and recycling plan. Wastes that do not meet the standards are reprocessed and the recycling plan is adjusted.

2. The waste material disassembling, recycling and reusing management system according to claim 1, characterized in that, The waste composition analysis module conducts composition analysis on the waste, where: For metal wastes, determine the types and proportions of various metals therein, as well as the content of impurity elements; For electronic wastes, analyze the types of electronic components, the content of rare metals, and the proportions of plastic and glass components; For plastic wastes, determine their plastic materials and additive components.

3. The waste material disassembly, recycling and reuse management system according to claim 2, wherein The waste composition analysis module is used to analyze the metal ratio in metal waste. Determination, specifically: Metal waste contains For the metal The metal ratio is ,in Indicates The proportion of metals in metal waste, Indicates The quality of the metal, It represents the total mass of all metals. To determine the total amount of impurity elements, the comparative analysis method is used to compare the measured spectral characteristics with the spectral characteristics of pure metals. The elements corresponding to the difference are the impurity elements. The calculation formula for the impurity element content is: ,in Indicates The content of impurity elements, Indicates The spectral intensity corresponding to the impurity element, Represents the total spectral intensity corresponding to all impurity elements.

4. The waste material disassembling, recycling and reusing management system according to claim 2, wherein The waste composition analysis module disassembles and analyzes electronic wastes, where: For the determination of the types of electronic components, different component types are identified through image recognition technology and database comparison; For the determination of the rare metal content , a chemical analysis method is adopted. The electronic waste is dissolved, and the content of rare metals is detected and determined through chemical reactions, that is, the electronic waste contains types of rare metals. For the th type of rare metal, its content is , where represents the content of the th type of rare metal in the electronic waste, represents the mass of the th type of rare metal, and represents the total mass of the electronic waste; For the determination of the proportion of plastic and glass components, a physical separation method is adopted. After separating the plastic and glass components, they are weighed separately, and the proportion is , where represents the proportion of the plastic component, represents the proportion of the glass component, represents the mass of the plastic component, represents the mass of the glass component.

5. The management system for disassembling, recycling and reusing waste materials according to claim 2, characterized in that, For plastic waste, the waste component analysis module uses chemical analysis methods to determine its plastic material and additive components. By heating and treating the plastic waste with chemical reagents, observing its reaction characteristics and products, the plastic material is determined. For the determination of additive components, chromatographic analysis technology is used to separate different additive components and detect them. That is, the plastic waste contains types of additives. For the th additive, its content calculation formula is , where represents the content of the th additive in the plastic waste, represents the mass of the th additive, and represents the total mass of the plastic waste.

6. The management system for disassembling, recycling and reusing waste materials according to claim 1, wherein The recycling plan of the personalized recycling plan generation module is specifically as follows: For metal wastes with high value and high purity, rapid collection is preferentially carried out, and efficient smelting and purification are carried out. For high-value metal wastes containing impurities, pretreatment is carried out first; For electronic wastes with high value and high rare metal content, fine disassembly technology is adopted, and professional technicians conduct classified disassembly and recycling in a dust-free environment; For plastic wastes with high value and reprocessability, crushing and reprocessing processes are carried out according to the materials and additives; For metal, electronic, and plastic wastes with low value and no reuse value, harmless treatment is carried out.

7. A waste material disassembly, recycling and reuse management system according to claim 1, characterized in that, The intelligent warehousing management module classifies and stores wastes of different values and components, and determines the storage priorities and required storage spaces for different wastes. That is, the storage priority of the waste is , the value evaluation value is , the harmful substance content is , the quantity is , then the storage priority is , where , , are weight coefficients. For the required storage space , it is determined according to the volume of the waste , the packaging coefficient and the storage density coefficient , that is , where . For high-value wastes, the storage density coefficient is reduced to provide a safe storage environment. For wastes with a high harmful substance content, the packaging coefficient is increased for isolation and protection.

8. The waste material disassembling, recycling and reusing management system according to claim 1, characterized in that, The intelligent storage management module uses a sensor network to obtain real-time information on the quantity, location, and storage time of various types of waste in the warehouse. For quantity information, the current inventory quantity is calculated by measuring the volume and weight of the waste in the area and combining it with the density data of the waste. The current inventory quantity is The total volume measured is The average density of waste is ,but , and the total storage capacity of the warehouse ; For location information, each batch of wastes is marked and located to keep track of its specific location in the warehouse at any time; The storage time information is recorded by the time when the waste enters the warehouse and is updated in real time.

9. The waste material disassembling, recycling and reusing management system according to claim 1, wherein, The intelligent warehouse management module, based on the waste value assessment results , storage priorities , and the storage capacity of the warehouse , sets the inventory threshold to , then , where , , are adjustment coefficients. When the real-time monitored inventory quantity reaches the inventory threshold , the system automatically sends out a warning signal. The warning signal can be sent to the management personnel in the form of sound and light alarms to adjust the recycling strategy, increase the warehouse storage space, and speed up the waste treatment progress. At the same time, historical analysis and trend prediction of the inventory data are carried out to predict the future inventory change trend, providing decision-making support for warehouse management and the adjustment of the recycling strategy. Define the predicted inventory quantity in the th period as , the actual inventory quantity as , and the smoothing coefficient as , then . By continuously adjusting the smoothing coefficient , the prediction result can accurately reflect the actual inventory change trend.

Images