Plastic packaging material management method
The type of plastic packaging material is determined through near-infrared spectral analysis, and the recycling process and time are adjusted according to the operating status of the recycling equipment, which solves the problem of poor recycling effect and improves recycling efficiency and resource utilization.
Patent Information
- Application Number
- CN202411574163.0
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-11-06
- Publication Date
- 2025-02-11
AI Technical Summary
During the recycling process of plastic packaging materials, the purity of the material to be recycled is different from the operating status of the recycling equipment, resulting in poor recycling effect.
By sending a near-infrared beam to the plastic packaging material to be recycled, analyzing the reflection spectrum to determine the material type, calculating the operating state coefficient based on the equipment operating state data, and adjusting the recycling process and time.
It improves the recycling effect of plastic packaging materials, enhances resource utilization and recycling efficiency, and adapts to different material purity and equipment status.
Smart Images

Figure CN119408011A_ABST
Abstract
Description
Technical Field
[0001] The invention relates to the technical field of plastic recycling, and in particular to a method for managing plastic packaging materials. Background Art
[0002] Plastic packaging material recycling refers to the process of systematically collecting, sorting, cleaning and processing used plastic packaging products so that they can be reprocessed into reusable materials or new products. The recycling process usually includes the establishment of a recycling network, sorting and classification of waste plastics, cleaning and decontamination, crushing into particles or flakes, melting and regeneration, and other links. Through these steps, waste plastics can be remade into new packaging products, industrial raw materials or other plastic products, thereby reducing dependence on natural resources such as oil, effectively reducing environmental pollution, saving energy, and promoting the recycling of resources;
[0003] Generally speaking, in the recycling process, in order to make recycling more convenient and faster, the plastic packaging materials will be sent to the corresponding processing and recycling equipment, and the plastic packaging materials will be processed through the corresponding recycling process and the corresponding recycling time of each recycling process, so as to achieve accurate recycling and improve resource utilization and recycling efficiency;
[0004] However, in the actual recycling process, the purity of the plastic packaging materials to be recycled is different, and the operating status of the recycling equipment is also different. If the plastic packaging materials are still recycled and managed according to the original recycling process and the recycling time corresponding to each recycling process, the recycling effect may be poor. Summary of the invention
[0005] The purpose of the present invention is to solve the above-mentioned problems and to propose a method for managing plastic packaging materials.
[0006] The present invention provides a method for managing plastic packaging materials, the method comprising:
[0007] Sending a near-infrared beam to the plastic packaging material to be recycled, analyzing the returned reflection spectrum, and determining the material type of the plastic packaging material to be recycled based on the wavelength peak of the reflected light;
[0008] Determine the preliminary recycling process and the recycling time corresponding to each preliminary recycling process according to the material type of the plastic packaging material to be recycled;
[0009] Acquire the operation status data of the recovery equipment, and obtain the operation status coefficient according to the operation status data, wherein the operation status data includes the temperature rise abnormality coefficient, the temperature fluctuation coefficient, and the equipment operation speed abnormality coefficient;
[0010] The final recycling process and the recycling time corresponding to each final recycling process are obtained according to the operating state coefficient of the recycling equipment and the preliminary recycling process and the recycling time corresponding to each preliminary recycling process.
[0011] Optionally, the temperature rise abnormal coefficient includes:
[0012] The time for the recycling equipment to heat from the original temperature to the target temperature is taken as the first time period, and the temperature rise time anomaly coefficient is obtained according to the first time period and the preset time period corresponding to the target temperature. The calculation formula is: Wq = (cs-rf) / rf, where W q is the temperature rise time anomaly coefficient, cs is the first time period, and rf is the preset time period corresponding to reaching the target temperature;
[0013] Get the temperature of the recycling equipment at different times within the preset time period corresponding to the target temperature, and mark the temperature of the recycling equipment at each time as E a , a represents the order number of the temperature of the recovery equipment at different times, a=1, 2, 3, 4, ..., v, v is a positive integer;
[0014] According to the temperature E of the recovery equipment at different times a and the temperature W of the preset recovery equipment at the corresponding time a The temperature deviation coefficient DF is obtained, and the calculation formula is:
[0015] The temperature rise anomaly coefficient is obtained according to the temperature rise time anomaly coefficient and the temperature deviation coefficient.
[0016] Optionally, obtaining the temperature rise anomaly coefficient according to the temperature rise time anomaly coefficient and the temperature deviation coefficient includes:
[0017]
[0018] Where Mgh is the temperature rise anomaly coefficient, W q and DF are the temperature rise time anomaly coefficient and the temperature deviation coefficient respectively, and a1 and a2 are the preset weight coefficients of the temperature rise time anomaly coefficient and the temperature deviation coefficient respectively.
[0019] Optionally, the temperature fluctuation coefficient includes:
[0020] When the temperature of the processing recycling equipment reaches the target temperature, obtain the temperature of the recycling equipment at different times within T time, and mark the temperature of the recycling equipment at each time as R P , p represents the order number of the temperature of the recovery equipment at different times, p = 1, 2, 3, 4, ..., k, k is a positive integer;
[0021] Calculate the temperature R of the recovery equipment at different times during time T P The standard deviation of is taken as the temperature fluctuation coefficient WD, and the calculation formula is:
[0022]
[0023] in, is the average temperature of the recovery equipment at different times within T time, and the expression obtained is:
[0024] Optionally, the equipment running speed abnormality coefficient includes:
[0025] Get the equipment running speed at different times during the recycling process, and mark the equipment running speed at each time as U 实 b , v represents the order of the equipment running speed at different times, v = 1, 2, 3, 4, ..., n, n is a positive integer;
[0026] The equipment running speed U at each moment 实 b The device running speed U at the time when it is less than the preset minimum running speed threshold Ur is compared with the preset minimum running speed threshold Ur. 实 b Re-label it as R h , h represents the equipment running speed U 实 b The number of the number of speeds less than the preset minimum running speed threshold Ur, h = 1, 2, 3, 4, ..., t, t is a positive integer;
[0027] Calculate the equipment operating speed coefficient Wg, the calculation formula is: Wg = in (t / n + 1).
[0028] Optionally, obtaining the operating status coefficient according to the operating status data includes:
[0029] The temperature rise anomaly coefficient, temperature fluctuation coefficient, and equipment operating speed anomaly coefficient are used as input items of the fuzzy rules, and the operating state coefficient of the processing and recycling equipment is used as the output item;
[0030] Fuzzify the input items and convert the exact input values into fuzzy sets;
[0031] Define fuzzy rules based on the fuzzy sets of input items to map input items to output items;
[0032] According to the fuzzy rules, the input items are inferred to determine the fuzzy value of the output items;
[0033] For each rule, calculate the membership of its predecessor and take the minimum value as the activation of the rule;
[0034] Synthesize the results of all rules and calculate the fuzzy set of output items;
[0035] The fuzzy value of the output item is converted into an exact value, and the operating state coefficient is output according to the defuzzification result.
[0036] Optionally, obtaining the final recycling process and the recycling time corresponding to each final recycling process according to the operating state coefficient of the recycling equipment and the preliminary recycling process and the recycling time corresponding to each preliminary recycling process includes:
[0037] The operating state coefficient of the recycling equipment is compared with a preset operating state coefficient threshold. If the operating state coefficient of the recycling equipment is less than the preset operating state coefficient threshold, the recycling equipment is still used to recycle the plastic packaging materials to be recycled using the preliminary recycling process and the recycling time corresponding to each preliminary recycling process;
[0038] If the operating status coefficient of the recycling equipment is not less than the preset operating status coefficient threshold, the final recycling process and the recycling time corresponding to each final recycling process are obtained according to the operating status coefficient of the recycling equipment and the preliminary recycling process and the recycling time corresponding to each preliminary recycling process, and the plastic packaging materials to be recycled are recycled through the recycling equipment according to the final recycling process and the recycling time corresponding to each final recycling process.
[0039] Optionally, the final recycling process and the recycling time corresponding to each final recycling process include:
[0040] Wsx=Re×(1+α)
[0041] Waw=Qs×(1+α)
[0042] Where Wsx and Waw are the number of final recycling processes and the recycling time corresponding to each final recycling process, respectively; Re and Qs are the preliminary recycling processes and the recycling time corresponding to each preliminary recycling process, respectively; α is the operating state coefficient.
[0043] Beneficial effects of the present invention:
[0044] The present invention proposes a plastic packaging material management method, which sends a near-infrared light beam to the plastic packaging material to be recycled, analyzes the returned reflection spectrum, determines the material type of the plastic packaging material to be recycled according to the wavelength peak of the reflected light; determines the preliminary recycling process and the recycling time corresponding to each preliminary recycling process according to the material type of the plastic packaging material to be recycled; obtains the operating status coefficient by acquiring the operating status data of the recycling equipment, and obtains the final recycling process and the recycling time corresponding to each final recycling process according to the operating status coefficient of the recycling equipment and the preliminary recycling process and the recycling time corresponding to each preliminary recycling process. In this way, the recycling process of the recycling equipment and the recycling time corresponding to each recycling process can be adjusted according to the different purities of the plastic packaging materials to be recycled and the different operating states of the recycling equipment, so that the recycling management of the plastic packaging materials is better and the recycling effect is better. BRIEF DESCRIPTION OF THE DRAWINGS
[0045] The present invention will be further described below in conjunction with the accompanying drawings.
[0046] Figure 1 The figure is a flow chart of a method for managing plastic packaging materials. DETAILED DESCRIPTION
[0047] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.
[0048] Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in the field without making any creative work shall fall within the scope of protection of the present invention.
[0049] The embodiment of the present invention provides a method for managing plastic packaging materials. Figure 1 , Figure 1 A flowchart of a plastic packaging material management method provided by an embodiment of the present invention. The method comprises the following steps:
[0050] Sending a near-infrared beam to the plastic packaging material to be recycled, analyzing the returned reflection spectrum, and determining the material type of the plastic packaging material to be recycled based on the wavelength peak of the reflected light;
[0051] Determine the preliminary recycling process and the recycling time corresponding to each preliminary recycling process according to the material type of the plastic packaging material to be recycled;
[0052] Obtaining the operating status data of the recovery equipment, and obtaining the operating status coefficient according to the operating status data, the operating status data including the temperature rise abnormality coefficient, the temperature fluctuation coefficient, and the equipment operating speed abnormality coefficient;
[0053] The final recycling process and the recycling time corresponding to each final recycling process are obtained according to the operating state coefficient of the recycling equipment and the preliminary recycling process and the recycling time corresponding to each preliminary recycling process.
[0054] Based on a plastic packaging material management method provided by an embodiment of the present invention, through the above-mentioned method, the recycling process of the recycling equipment and the recycling time corresponding to each recycling process can be adjusted according to the different purities of the plastic packaging materials to be recycled and the different operating states of the recycling equipment, so that the recycling management of the plastic packaging materials is better and the recycling effect is better.
[0055] In one embodiment, a near-infrared light beam is sent to the plastic packaging material to be recycled, and the returned reflection spectrum is analyzed, and the material type of the plastic packaging material to be recycled is determined based on the wavelength peak of the reflected light; it should be noted that near-infrared spectroscopy (NIR) is a non-destructive detection method for material analysis using the near-infrared spectral range (usually 780nm to 2500nm). This technology is based on the absorption and reflection characteristics of materials to near-infrared light of different wavelengths, and can quickly and accurately identify and quantitatively analyze the chemical composition and structure of various substances. In the field of plastic recycling, NIR technology is widely used in automated sorting equipment. By analyzing the reflection spectrum, different types of plastics can be identified, such as polyethylene terephthalate (PET), high-density polyethylene (HDPE) and polypropylene (PP), thereby improving the recycling efficiency and the reuse rate of plastics;
[0056] For example, suppose there is a batch of plastic bottles to be recycled. By using near-infrared spectroscopy technology, a near-infrared beam is sent to the plastic bottles: the recycling equipment will emit a near-infrared beam and irradiate the surface of the plastic bottles to be recycled; when the near-infrared beam irradiates the plastic surface, different types of plastics will absorb and reflect light of specific wavelengths, and the sensor in the equipment will capture the returned reflection spectrum and record it; the type of material is determined according to the wavelength peak of the reflected light: for example: now it is found that the near-infrared spectrum shows peaks at 1700nm and 1720nm, which is the characteristic wavelength of PET material, then it is judged that the plastic bottles to be recycled contain PET materials; it is found that the near-infrared spectrum shows obvious peaks at 1210nm and 1730nm, which is the characteristic spectrum of HDPE, then it is judged that the plastic bottles to be recycled contain HDPE materials; by analyzing the peaks of all wavelengths, the recycling equipment can identify the specific type of material contained in the bottle;
[0057] The advantages of this method are its fast speed, high accuracy, and no need for manual sorting. Through automated equipment and near-infrared spectroscopy analysis, different types of plastics can be quickly identified and separated, thereby improving recycling efficiency.
[0058] In one embodiment, the preliminary recycling process and the corresponding recycling time of each preliminary recycling process are determined according to the material type of the plastic packaging material to be recycled. After the plastic bottles to be recycled are identified by near infrared spectroscopy technology, the recycling equipment can determine the specific material types contained in these bottles, such as PET and HDPE. Next, according to the identification results, the preliminary recycling process and its corresponding recycling time can be determined. For example, assuming that 70% of the identified plastic bottles are PET and 30% of HDPE, the recycling equipment will first process the PET bottles. For PET materials, the preliminary recycling process may include washing, crushing and melting, and the processing time of these steps is set according to the equipment efficiency and material characteristics. Specifically, it may take 5 minutes to wash the PET bottles, 3 minutes to crush, and 10 minutes to melt, so the total PET processing time is 18 minutes. Next, for HDPE bottles, the preliminary recycling process also includes washing, crushing and melting, but due to the processing characteristics of HDPE, the washing time may be shortened to 3 minutes, the crushing time may be 2 minutes, and the melting time may be 8 minutes, so the total HDPE processing time is 13 minutes. In this way, recycling equipment can develop specific recycling processes and times for each type of plastic based on the characteristics of different materials, making the recycling process efficient and orderly, thereby maximizing recycling effects and resource utilization.
[0059] It should be noted that the specific preliminary recycling process and the recycling time corresponding to each preliminary recycling process are set by professionals according to actual conditions, and other methods may also be used, which are not specifically limited or elaborated.
[0060] In one embodiment, the temperature rise anomaly coefficient includes:
[0061] The time for the recycling equipment to be heated from the original temperature to the target temperature is taken as the first time period, and the temperature rise time abnormality coefficient is obtained according to the first time period and the preset time period corresponding to the target temperature. The calculation formula is: Wq = (cs-rf) / rf, where Wq is the temperature rise time abnormality coefficient, cs is the first time period, and rf is the preset time period corresponding to the target temperature;
[0062] Get the temperature of the recycling equipment at different times within the preset time period corresponding to the target temperature, and mark the temperature of the recycling equipment at each time as E a , a represents the order number of the temperature of the recovery equipment at different times, a=1, 2, 3, 4, ..., v, v is a positive integer;
[0063] According to the temperature E of the recovery equipment at different times a and the temperature W of the preset recovery equipment at the corresponding time a The temperature deviation coefficient DF is obtained, and the calculation formula is:
[0064] The temperature rise anomaly coefficient is obtained according to the temperature rise time anomaly coefficient and the temperature deviation coefficient.
[0065] It should be noted that the preset time period corresponding to the target temperature and the preset temperature of the recovery device at each moment are set by professionals according to actual conditions, and are not limited or elaborated on in detail;
[0066] It should be noted that the target temperature is set by professionals according to the actual situation, and no specific limitation or elaboration is made; the temperature of the recycling equipment at different times can be obtained through the temperature sensor inside the equipment, or other methods, which are determined according to the actual situation, and no limitation or elaboration is made;
[0067] In one embodiment, obtaining the temperature rise anomaly coefficient according to the temperature rise time anomaly coefficient and the temperature deviation coefficient includes:
[0068]
[0069] Wherein, Mgh is the temperature rise abnormal coefficient, Wq and DF are the temperature rise time abnormal coefficient and the temperature deviation coefficient respectively, and a1 and a2 are the preset weight coefficients of the temperature rise time abnormal coefficient and the temperature deviation coefficient respectively.
[0070] It should be noted that a1 and a2 are set by professionals according to actual conditions. Generally, the sum of a1 and a2 is 1. For example, a1 and a2 can be 0.5 and 0.5 respectively, or other numbers, which are not specifically limited.
[0071] It should be noted that when the temperature rise time anomaly coefficient is larger and the temperature deviation coefficient is larger, that is, the temperature rise anomaly coefficient is larger, it means that the operating state of the processing and recycling equipment of the plastic packaging material is worse. Still managing the recycling of plastic packaging materials according to the original recycling process and each recycling process may lead to poor recycling results. The reason is that when the temperature rise anomaly coefficient also increases accordingly, it indicates that the operating state of the processing and recycling equipment of the plastic packaging material has deteriorated significantly. In this case, the heating efficiency of the equipment is reduced, and the required target temperature cannot be reached within the predetermined time, which may cause the plastic material to fail to reach the optimal melting and processing state during the processing. If the plastic packaging material is still managed according to the original recycling process and each recycling process, it may cause several problems. First, the insufficient melting of the plastic may cause blockage or uneven mixing in the subsequent processing links, thereby reducing the quality and consistency of the recycled plastic. Secondly, the temperature deviation may affect the efficiency of the chemical reaction, causing the plastic to decompose or produce harmful gases during the heat treatment process, increasing the risk of environmental pollution. In addition, improperly handled plastics may not meet the recyclable standards during the sorting and subsequent recycling stages, further aggravating resource waste and environmental burden. In summary, ignoring the operating status of the equipment and the temperature anomaly coefficient and continuing to use the original recycling process will inevitably lead to poor recycling results and affect the overall recycling efficiency and material utilization rate; therefore, timely monitoring and adjustment of the recycling process to adapt to the actual operating status of the equipment can ensure the efficient recycling and reuse of plastic packaging materials.
[0072] In one embodiment, the temperature fluctuation coefficient includes:
[0073] When the temperature of the processing recycling equipment reaches the target temperature, obtain the temperature of the recycling equipment at different times within T time, and mark the temperature of the recycling equipment at each time as R P , p represents the order number of the temperature of the recovery equipment at different times, p = 1, 2, 3, 4, ..., k, k is a positive integer;
[0074] Calculate the temperature R of the recovery equipment at different times during time T P The standard deviation of is taken as the temperature fluctuation coefficient WD, and the calculation formula is:
[0075]
[0076] in, is the average temperature of the recovery equipment at different times within T time, and the expression obtained is:
[0077] It should be noted that the temperature of the recycling device at different times can be obtained by a temperature sensor inside the device, or by other methods, depending on the actual situation, and will not be limited or elaborated;
[0078] It should be noted that when the temperature of the processing and recycling equipment reaches the target temperature, the greater the temperature fluctuation coefficient of the recycling equipment, the worse the operating state of the processing and recycling equipment of the plastic packaging material. Still managing the recycling of plastic packaging materials according to the original recycling process and each recycling process may lead to poor recycling results. The reason is that when the temperature of the processing and recycling equipment reaches the target temperature, if the temperature fluctuation coefficient is larger, it means that the equipment has large temperature fluctuations in the process of maintaining a stable temperature, which means that the heating and temperature control system of the equipment may not be able to effectively maintain a constant thermal environment. The recycling of plastic packaging materials usually needs to be carried out within a specific temperature range to ensure that the material can be melted evenly and effectively reprocessed. If the temperature fluctuation of the equipment is too large, the plastic will not be able to reach a uniform melting state during the heating process. Part of the material may be overheated and decomposed, and part may not be completely melted. This unevenness will directly affect the quality and performance of the final recycled plastic; in addition, the instability of temperature may also cause uneven action of chemical additives, affect the characteristics of the plastic, and make the recycled material unable to meet the standard requirements. At the same time, frequent temperature fluctuations will also have a negative impact on the durability of the equipment, increase the probability of equipment failure, and further affect the efficiency of the entire recycling process. If the original recycling process and scheduled time are still followed in this case, and the equipment cannot be adjusted according to the abnormal state, the recycling process will not only be inefficient, but also lead to a large waste of resources and energy consumption, and may even require more processes for subsequent remediation and repair work. Therefore, in order to improve the recycling effect and the operating efficiency of the equipment, the process must be adjusted in time according to the temperature fluctuations and the recycling process must be optimized to ensure that the plastic packaging materials can be processed under the most appropriate conditions and achieve the goal of high-quality recycling and resource reuse.
[0079] In one embodiment, the equipment operation speed abnormality coefficient includes:
[0080] Get the equipment running speed at different times during the recycling process, and mark the equipment running speed at each time as U 实 b , b represents the order of the equipment running speed at different times, b = 1, 2, 3, 4, ..., n, n is a positive integer;
[0081] The equipment running speed U at each moment 实 b The device running speed U at the time when it is less than the preset minimum running speed threshold Ur is compared with the preset minimum running speed threshold Ur. 实 b Re-label it as R h , h represents the equipment running speed U实 b The number of the number of speeds less than the preset minimum running speed threshold Ur, h = 1, 2, 3, 4, ..., t, t is a positive integer;
[0082] Calculate the equipment operating speed coefficient Wg, the calculation formula is: Wg = ln (t / n + 1).
[0083] It should be noted that the operating speed of the recovery device at different times can be obtained through a speed sensor inside the device, or other methods, depending on the actual situation, and will not be limited or elaborated;
[0084] It should be noted that the preset minimum operating speed threshold Ur is set by professionals according to actual conditions, and may also be set in other ways, which will not be specifically limited or elaborated.
[0085] It should be noted that during the recycling process, the larger the abnormal coefficient of the equipment running speed, the worse the operating state of the plastic packaging material processing and recycling equipment. Still managing the recycling of plastic packaging materials according to the original recycling process and each recycling process may lead to poor recycling results. The reason is that if the abnormal coefficient of the running speed of the processing and recycling equipment is larger, it means that the equipment frequently runs at a speed lower than the preset minimum running speed during the recycling process. This indicates that the equipment is unstable, and the equipment may not be able to maintain the ideal operating speed due to reasons such as excessive equipment load, mechanical failure or power supply problems. The recycling process of plastic packaging materials usually involves multiple steps, such as crushing, cleaning, melting and granulation, which require the equipment to be carried out continuously and stably at a specific speed to ensure that each link can be efficiently connected. If the equipment running speed is often lower than the set minimum threshold, the efficiency of the entire production line will be greatly reduced, resulting in extended processing time and possible backlogs; more importantly, the speed fluctuation of the equipment will directly affect the processing effect of the material. For example, during the melting process, if the equipment speed is too slow, the plastic material may stay in the high temperature area for too long, resulting in overheating and decomposition, thereby affecting the quality of the recycled material. If it is the cleaning stage, insufficient equipment speed may result in the inability to completely remove impurities on the surface of the material, which in turn affects the processing effect of subsequent steps. In addition, abnormal operating speed may also affect the overall energy consumption, causing the equipment to consume more energy to maintain an unstable operating state, further increasing the cost of the recycling process; therefore, if the abnormality of the equipment operating speed is ignored and the plastic packaging materials are still processed according to the original recycling process and time, it may result in poor recycling results and even generate a large amount of waste, reducing the efficiency of resource reuse. In this case, in order to ensure efficient and high-quality recycling results, it is necessary to identify and adjust the operating status of the equipment in a timely manner, optimize the recycling process, reduce the impact of equipment abnormalities, and ensure that the entire recycling process can operate stably, thereby achieving effective regeneration and recycling of resources.
[0086] In one embodiment, obtaining the operating status coefficient according to the operating status data includes:
[0087] The temperature rise anomaly coefficient, temperature fluctuation coefficient, and equipment operating speed anomaly coefficient are used as input items of the fuzzy rules, and the operating state coefficient of the processing and recycling equipment is used as the output item;
[0088] Fuzzify the input items and convert the exact input values into fuzzy sets;
[0089] Define fuzzy rules based on the fuzzy sets of input items to map input items to output items;
[0090] According to the fuzzy rules, the input items are inferred to determine the fuzzy value of the output items;
[0091] For each rule, calculate the membership of its predecessor and take the minimum value as the activation of the rule;
[0092] Synthesize the results of all rules and calculate the fuzzy set of output items;
[0093] The fuzzy value of the output item is converted into an exact value, and the operating state coefficient is output according to the defuzzification result.
[0094] In one implementation method, through the above method, the fuzzy inference system can comprehensively consider the three key factors of temperature rise abnormality coefficient, temperature fluctuation coefficient, and equipment operation speed abnormality coefficient, so that the calculated operation status coefficient of the processing and recovery equipment is more accurate and can fully reflect the operation status of the processing and recovery equipment.
[0095] In one embodiment, the final recycling process and the recycling time corresponding to each final recycling process are obtained according to the operating state coefficient of the recycling equipment and the preliminary recycling process and the recycling time corresponding to each preliminary recycling process, including:
[0096] The operating state coefficient of the recycling equipment is compared with a preset operating state coefficient threshold. If the operating state coefficient of the recycling equipment is less than the preset operating state coefficient threshold, the recycling equipment is still used to recycle the plastic packaging materials to be recycled using the preliminary recycling process and the recycling time corresponding to each preliminary recycling process;
[0097] If the operating status coefficient of the recycling equipment is not less than the preset operating status coefficient threshold, the final recycling process and the recycling time corresponding to each final recycling process are obtained according to the operating status coefficient of the recycling equipment and the preliminary recycling process and the recycling time corresponding to each preliminary recycling process, and the plastic packaging materials to be recycled are recycled through the recycling equipment according to the final recycling process and the recycling time corresponding to each final recycling process.
[0098] It should be noted that the preset operating status coefficient threshold is set by professionals according to actual conditions, and may also be set in other ways, which are not specifically limited or elaborated.
[0099] It should be noted that by comparing the operating status coefficient of the recycling equipment with the preset operating status coefficient threshold, it is possible to effectively determine whether the equipment is in normal working condition, thereby determining how to manage the recycling process; if the operating status coefficient of the recycling equipment is less than the preset threshold, it means that the equipment is in good operating condition and various indicators (such as temperature stability, speed, load, etc.) are within the normal range. At this time, the recycling process and corresponding recycling time initially formulated can be operated without additional adjustments; in this case, the recycling equipment can efficiently and stably perform each step to ensure the processing quality and efficiency of plastic packaging materials; however, if the operating status coefficient of the recycling equipment is not less than the preset threshold, it means that the equipment has abnormal operation, which may be due to unstable temperature, excessive speed fluctuations, excessive equipment load, etc. At this time, continuing to operate according to the original preliminary recycling process may result in poor processing results, reduced material quality, or increased energy consumption and time costs in the recycling process; in order to avoid these problems, the recycling process needs to be adjusted according to the current operating status of the equipment.
[0100] In one embodiment, the final recycling process and the recycling time corresponding to each final recycling process include:
[0101] Wsx=Re×(1+α)
[0102] Waw=Qs×(1+α)
[0103] Where Wsx and Waw are the number of final recycling processes and the recycling time corresponding to each final recycling process, respectively; Re and Qs are the preliminary recycling processes and the recycling time corresponding to each preliminary recycling process, respectively; α is the operating state coefficient.
[0104] It should be noted that, through the above method, the recycling process of the recycling equipment and the recycling time corresponding to each recycling process can be adjusted according to the different purities of the plastic packaging materials to be recycled and the different operating conditions of the recycling equipment, so that the recycling management of the plastic packaging materials can be better and the recycling effect can be better.
[0105] The above is a detailed description of an embodiment of the present invention, but the content is only a preferred embodiment of the present invention and cannot be considered to limit the scope of implementation of the present invention. All equivalent changes and improvements made within the scope of the present invention should still fall within the scope of the patent coverage of the present invention.
Claims
1. A method for managing plastic packaging materials, characterized in that: The following steps are involved: Sending a near-infrared beam to the plastic packaging material to be recycled, analyzing the returned reflection spectrum, and determining the material type of the plastic packaging material to be recycled based on the wavelength peak of the reflected light; Determine the preliminary recycling process and the recycling time corresponding to each preliminary recycling process according to the material type of the plastic packaging material to be recycled; Acquire the operation status data of the recovery equipment, and obtain the operation status coefficient according to the operation status data, wherein the operation status data includes the temperature rise abnormality coefficient, the temperature fluctuation coefficient, and the equipment operation speed abnormality coefficient; The final recycling process and the recycling time corresponding to each final recycling process are obtained according to the operating state coefficient of the recycling equipment and the preliminary recycling process and the recycling time corresponding to each preliminary recycling process.
2. A method for managing plastic packaging materials according to claim 1, characterized in that: The temperature rise anomaly coefficient includes: The time for the recycling equipment to be heated from the original temperature to the target temperature is taken as the first time period, and the temperature rise time abnormality coefficient is obtained according to the first time period and the preset time period corresponding to the target temperature. The calculation formula is: Wq = (cs-rf) / rf, where Wq is the temperature rise time abnormality coefficient, cs is the first time period, and rf is the preset time period corresponding to the target temperature; Get the temperature of the recycling equipment at different times within the preset time period corresponding to the target temperature, and mark the temperature of the recycling equipment at each time as E a , a represents the order number of the temperature of the recovery equipment at different times, a=1, 2, 3, 4, ..., v, v is a positive integer; According to the temperature E of the recovery equipment at different times a and the temperature W of the preset recovery equipment at the corresponding time a The temperature deviation coefficient DF is obtained, and the calculation formula is: The temperature rise anomaly coefficient is obtained according to the temperature rise time anomaly coefficient and the temperature deviation coefficient.
3. A method for managing plastic packaging materials according to claim 2, characterized in that: The temperature rise anomaly coefficient obtained according to the temperature rise time anomaly coefficient and the temperature deviation coefficient includes: Wherein, Mgh is the temperature rise abnormal coefficient, Wq and DF are the temperature rise time abnormal coefficient and the temperature deviation coefficient respectively, and a1 and a2 are the preset weight coefficients of the temperature rise time abnormal coefficient and the temperature deviation coefficient respectively.
4. A method for managing plastic packaging materials according to claim 1, characterized in that: The temperature fluctuation coefficient includes: When the temperature of the processing recycling equipment reaches the target temperature, obtain the temperature of the recycling equipment at different times within T time, and mark the temperature of the recycling equipment at each time as R P , p represents the order number of the temperature of the recovery equipment at different times, p = 1, 2, 3, 4, ..., k, k is a positive integer; Calculate the temperature R of the recovery equipment at different times during time T P The standard deviation of is taken as the temperature fluctuation coefficient WD, and the calculation formula is: in, is the average temperature of the recovery equipment at different times within T time, and the expression obtained is:
5. A method for managing plastic packaging materials according to claim 1, characterized in that: The equipment running speed abnormality coefficient includes: Get the equipment running speed at different times during the recycling process, and mark the equipment running speed at each time as U 实 b , b represents the order of the equipment running speed at different times, b = 1, 2, 3, 4, ..., n, n is a positive integer; The equipment running speed U at each moment 实 b The device running speed U at the time when it is less than the preset minimum running speed threshold Ur is compared with the preset minimum running speed threshold Ur. 实 n Re-label it as R h , h represents the equipment running speed U 实 b The number of the number of speeds less than the preset minimum running speed threshold Ur, h = 1, 2, 3, 4, ..., t, t is a positive integer; Calculate the equipment operating speed coefficient Wg, the calculation formula is: Wg = ln (t / n + 1).
6. A method for managing plastic packaging materials according to claim 1, characterized in that: The operating status coefficients obtained according to the operating status data include: The temperature rise anomaly coefficient, temperature fluctuation coefficient, and equipment operating speed anomaly coefficient are used as input items of the fuzzy rules, and the operating state coefficient of the processing and recycling equipment is used as the output item; Fuzzify the input items and convert the exact input values into fuzzy sets; Define fuzzy rules based on the fuzzy sets of input items to map input items to output items; According to the fuzzy rules, the input items are inferred to determine the fuzzy value of the output items; For each rule, calculate the membership of its predecessor and take the minimum value as the activation of the rule; Synthesize the results of all rules and calculate the fuzzy set of output items; The fuzzy value of the output item is converted into an exact value, and the operating state coefficient is output according to the defuzzification result.
7. A method for managing plastic packaging materials according to claim 1, characterized in that: The final recycling process and the recycling time corresponding to each final recycling process are obtained according to the operating state coefficient of the recycling equipment and the preliminary recycling process and the recycling time corresponding to each preliminary recycling process, including: The operating state coefficient of the recycling equipment is compared with a preset operating state coefficient threshold. If the operating state coefficient of the recycling equipment is less than the preset operating state coefficient threshold, the recycling equipment is still used to recycle the plastic packaging materials to be recycled using the preliminary recycling process and the recycling time corresponding to each preliminary recycling process; If the operating status coefficient of the recycling equipment is not less than the preset operating status coefficient threshold, the final recycling process and the recycling time corresponding to each final recycling process are obtained according to the operating status coefficient of the recycling equipment and the preliminary recycling process and the recycling time corresponding to each preliminary recycling process, and the plastic packaging materials to be recycled are recycled through the recycling equipment according to the final recycling process and the recycling time corresponding to each final recycling process.
8. A method for managing plastic packaging materials according to claim 7, characterized in that: The final recycling process and the corresponding recycling time for each final recycling process include: Wsx=Re×(1+α) Waw=Qs×(1+α) Where Wsx and Waw are the number of final recycling processes and the recycling time corresponding to each final recycling process, respectively; Re and Qs are the preliminary recycling processes and the recycling time corresponding to each preliminary recycling process, respectively; α is the operating state coefficient.