A pretreatment process for separation and purification of decoration waste

Abstract

The present invention relates to the technical field of environmentally friendly decoration waste treatment, and in particular to a pretreatment process for separation and purification of decoration waste, including: dividing the one-day decoration waste pretreatment period into a peak period, a non-peak period, and a maintenance period; calculating the process relative deviation according to the monitoring results and the process target; using the monitoring system to obtain the duration of the emergency response level during the non-peak period and the maintenance period; and using the utilization relative deviation to correct the response evaluation value. The present invention can ensure the best pretreatment effect during the peak period through precise time division and real-time monitoring, and at the same time, by adjusting the process parameters during the non-peak period and the maintenance period, the optimized operation and maintenance of the equipment, the duration adjustment of the emergency response level, and the real-time monitoring of the equipment utilization rate are achieved, which further improves the flexibility and adaptability, making the entire pretreatment process more intelligent and automated.

Description

Technical Field

[0001] The invention relates to the technical field of environmentally friendly decoration waste treatment, and in particular to a pretreatment process for separating and purifying decoration waste. Background Art

[0002] As a prominent feature of the development of modern society, the urbanization process, accompanied by the large-scale migration of population from rural to urban areas, has brought about a sharp increase in urban population and rapid expansion of urban space. This process has not only promoted economic growth and changes in social structure, but also brought about a series of environmental and social challenges. Urbanization has led to a large demand for housing, infrastructure and public services, which in turn has spawned a large number of construction activities and decoration projects. While these activities have improved living conditions and urban appearance, they have also generated a large amount of construction waste and decoration waste. Due to improper treatment and recycling of these wastes, they may cause serious burdens on the urban environment, including land occupation, environmental pollution and resource waste. Therefore, how to effectively manage and resource-reuse these decoration wastes in the process of urbanization has become an important part of urban planning and environmental management. With the improvement of urbanization, the pursuit of sustainable urban development has become increasingly urgent, which requires urban managers and all sectors of society to adopt innovative and efficient pretreatment processes to achieve the reduction, harmlessness and resource utilization of decoration waste, thereby promoting the sustainable development of the urban environment.

[0003] The patent document with Chinese patent publication number CN113732021A discloses a comprehensive treatment process for construction and decoration waste, including the following steps: A. Pretreatment, pretreatment of construction waste raw materials through a pretreatment device; B. Preliminary soil separation, separation and transportation of most of the soil through a separation device, and transportation of construction waste to a feeder; C. Crushing, construction waste entering the feeder enters the crushing device for crushing; D. Dust removal, dust removal device is installed on the crushing device, and dust is removed during the crushing process; E. Water washing, after the material is crushed from the crushing device, it enters the water washing device for water washing and stratification; F. Collection, separate and stack the stratified materials through the collection device. This process lacks the ability to dynamically adjust process parameters according to real-time data, which may result in it being unable to quickly adapt to changing working conditions or emergencies, affecting the stability of the entire processing flow, and lacks a mechanism for monitoring and adjusting the duration of the emergency response level, and is not timely and effective in equipment maintenance and fault response. Summary of the invention

[0004] To this end, the present invention provides a pretreatment process for separation and purification of decoration waste, so as to overcome the problem of poor separation efficiency and stability caused by poor adaptability due to low degree of automation in the prior art.

[0005] To achieve the above object, the present invention provides a pretreatment process for separation and purification of decoration waste, comprising:

[0006] Step S1, dividing the pre-processing period of the decoration waste into a peak period, a non-peak period and a maintenance period according to preset division time points, the division time points include a first time point and a second time point, and setting corresponding process targets and standard equipment utilization rates for the peak period, the non-peak period and the maintenance period, respectively, and the process targets include standard particle size, standard humidity and standard density;

[0007] Step S2, using a monitoring system to monitor the real-time particle size, real-time humidity and real-time density of materials in the pretreatment process of the decoration waste in each time period, calculating the process relative deviation according to the monitoring result and the process target, and using a preset nonlinear function and the process relative deviation to calculate the process response value, and determining the response level according to the process response value and the preset response evaluation value, and when it is determined that the response level is a medium response level, adjusting the real-time particle size, real-time humidity and real-time density according to the response level, the response evaluation value includes a first evaluation value and a second evaluation value, and the response level includes a slight response level, a medium response level and an emergency response level;

[0008] Step S3, using the monitoring system to obtain the duration of the emergency response level during the off-peak period and the maintenance period, and when the duration of the emergency response level during the off-peak period is greater than the preset standard off-peak duration, adjusting the first time point according to the duration of the emergency response level during the off-peak period and the standard off-peak duration;

[0009] When the duration of the emergency response level in the maintenance period is greater than the preset standard maintenance duration, adjusting the second time point according to the duration of the emergency response level in the maintenance period and the preset standard maintenance duration;

[0010] Step S4, after adjusting the division time points, use the monitoring system to monitor the real-time equipment utilization rate during the pretreatment process of the renovation waste in each time period, calculate the utilization rate relative deviation based on the real-time equipment utilization rate and the standard equipment utilization rate, and use the utilization rate relative deviation to correct the response evaluation value.

[0011] Furthermore, in step S1, a first time point and a second time point are preset, the time period between 0 o'clock and the first time point is divided into a non-peak period, the time period between the first time point and the second time point is divided into a peak period, and the time period between the second time point and 24 o'clock is divided into a maintenance period.

[0012] Furthermore, in step S2, a monitoring system is used to monitor the real-time particle size, real-time humidity and real-time density of the materials in the pretreatment process of the decoration waste in each time period, and the process relative deviation is calculated according to the monitoring results and the process target, wherein: G is the relative process deviation, w1 is the real-time particle size weight, A is the real-time particle size, A1 is the standard particle size, w2 is the real-time humidity weight, B is the real-time humidity, B1 is the standard humidity, w3 is the real-time density weight, C is the real-time density, and C1 is the standard density.

[0013] Furthermore, in step S2, a nonlinear function is preset, and the process response value is calculated using the nonlinear function and the process relative deviation, wherein: R is the process response value, and k is the curve steepness coefficient.

[0014] Furthermore, in step S2, a first evaluation value and a second evaluation value are preset, and the process response value is compared with the first evaluation value and the second evaluation value respectively.

[0015] If the process response value is less than the first evaluation value, the response level is determined to be a slight response level, and the process response value, the real-time particle size, the real-time humidity and the real-time density of the material are recorded;

[0016] If the process response value is greater than or equal to the first evaluation value and less than or equal to the second evaluation value, the response level is determined to be a medium response level, and the real-time particle size, real-time humidity, and real-time density are adjusted;

[0017] If the process response value is greater than the second evaluation value, the response level is determined to be an emergency response level, and the equipment is suspended and inspected.

[0018] Furthermore, in step S2, when it is determined that the response level is a medium response level, the real-time particle size, real-time humidity and real-time density are adjusted according to the process response value and the first evaluation value, wherein: L' is the adjusted real-time granularity, L is the real-time granularity;

[0019] S' is the adjusted real-time humidity, S is the real-time humidity;

[0020] M' is the adjusted real-time humidity, and M is the real-time humidity.

[0021] Furthermore, in step S3, a standard off-peak duration is preset, and the duration of the emergency response level during the off-peak period is obtained using the monitoring system, and the duration of the emergency response level during the off-peak period is compared with the standard off-peak duration.

[0022] If the duration of the emergency response level during the non-peak period is greater than the standard non-peak duration, it is determined that the non-peak period needs to be adjusted, and the first time point is adjusted according to the duration of the emergency response level during the non-peak period and the standard non-peak duration, wherein: H' is the first time point, H is the preset first time point, T is the duration of the emergency response level during the off-peak period, and T0 is the standard off-peak duration.

[0023] Furthermore, in step S3, a standard maintenance duration is preset, and the duration of the emergency response level during the maintenance period is obtained using the monitoring system, and the duration of the emergency response level during the maintenance period is compared with the standard maintenance duration.

[0024] If the duration of the emergency response level in the maintenance period is longer than the standard maintenance duration, it is determined that the maintenance period needs to be adjusted, and the second time point is adjusted according to the duration of the emergency response level in the maintenance period and the standard maintenance duration, wherein: H' is the first time point, H is the preset first time point, T' is the duration of the emergency response level of the maintenance period, and T1 is the standard maintenance duration.

[0025] Furthermore, in step S4, after adjusting the division time point, the monitoring system is used to monitor the real-time equipment utilization rate in the pretreatment process of the decoration waste in each time period, and the utilization rate relative deviation is calculated according to the real-time equipment utilization rate and the standard equipment utilization rate, wherein, K is the relative deviation of utilization, Y is the real-time equipment utilization, and Y0 is the standard equipment utilization.

[0026] Furthermore, in step S4, the utilization relative deviation is used to correct the first evaluation value and the second evaluation value, wherein E1'=E1×(1+c×K), E2'=E2×(1+d×K), E1' is the corrected first evaluation value, E1 is the preset first evaluation value, c is the first evaluation value correction coefficient, E2' is the corrected first evaluation value, E2 is the preset first evaluation value, and d is the second evaluation value correction coefficient.

[0027] Compared with the prior art, the beneficial effect of the present invention is that, through precise time division and real-time monitoring, it can ensure the best pretreatment effect during peak hours, and at the same time, by adjusting process parameters during non-peak hours and maintenance periods, the optimized operation and maintenance of the equipment can be achieved. The duration adjustment of the emergency response level and the real-time monitoring of equipment utilization further improve the flexibility and adaptability of the system, making the entire pretreatment process more intelligent and automated. This not only improves the environmental protection effect of decoration waste treatment, but also helps save energy and reduce operating costs, which is of great significance for promoting sustainable development and environmental protection.

[0028] Furthermore, through actual work needs and resource allocation, the focus of work in different periods can be reasonably arranged. During non-peak hours, equipment and personnel can be effectively utilized, resource waste can be reduced, and preparations can be made for the arrival of peak hours. Centralized processing during peak hours can improve work efficiency and ensure that a large amount of renovation waste is processed in a timely manner. The setting of maintenance periods helps to maintain the long-term stable operation of equipment. Through regular maintenance and inspection, failures can be prevented and unexpected downtime can be reduced, thereby improving the operating efficiency and reliability of the entire waste treatment center. In addition, by clearly dividing time periods and goals, the entire pretreatment process can be better monitored and managed to ensure the achievement of process goals.

[0029] Furthermore, this method of real-time monitoring and calculating the relative deviation of the process can ensure accurate control and optimization of the pretreatment process. The introduction of weights enables the monitoring system to adjust according to the degree of influence of each parameter on the quality of the final product, thereby achieving more refined process management. This method helps to quickly identify and respond to any deviation from the target, make timely adjustments, and ensure that the quality of the material meets the preset standards. In addition, through continuous monitoring and optimization, it is possible to improve resource utilization, reduce waste, improve production efficiency, and ultimately improve the stability and reliability of the entire pretreatment process.

[0030] Furthermore, using the sigmoid function to calculate the process response value has multiple beneficial effects. First, the nonlinear characteristics of the sigmoid function enable the system to respond to different degrees of deviation more flexibly, thereby achieving more refined control. Second, by adjusting the curve steepness coefficient, the operator can control the sensitivity of the process to deviations and optimize the process response speed and stability. In addition, since the range of the sigmoid function output value is limited to between 0 and 1, this provides a standardized response level for the subsequent decision-making process, facilitating automated control and rapid decision-making.

[0031] Furthermore, through the response level determination mechanism based on the evaluation value, the system is allowed to take different degrees of adjustment measures according to different process response values. The determination of the minor response level helps to reduce unnecessary intervention and maintain the continuity and stability of the process. The determination of the medium response level ensures that adjustments can be made in time when material parameters deviate from the standard to prevent small deviations from accumulating into big problems. The determination of the emergency response level provides a safety net for possible serious deviations or equipment failures, avoiding quality problems or further equipment damage by suspending equipment operation.

[0032] Furthermore, by making dynamic adjustments at the medium response level, the process can correct deviations in material parameters in a timely manner, thereby maintaining the stability and efficiency of the pretreatment process. This adjustment strategy helps to avoid small deviations from accumulating into larger problems, reducing the possibility of entering the emergency response level, thereby reducing the risk of downtime due to equipment failure or product quality problems. In addition, dynamic adjustments can also optimize the use of resources, such as reducing the waste of energy and raw materials, and improving the operating efficiency of the entire pretreatment system. Ultimately, this approach can improve the quality of the material and ensure that it meets the standards for subsequent processing or use.

[0033] Furthermore, by comparing the actual duration of the emergency response level with the standard time and adjusting the first time point accordingly, the process can flexibly respond to emergencies and ensure the adaptability and flexibility of the production plan. This dynamic adjustment helps to optimize resource allocation during non-peak hours and reduce production delays or resource waste caused by emergencies. In addition, timely adjustment of the time point can ensure that maintenance work or equipment repairs are completed in an appropriate time, thereby reducing the impact on the overall production process.

[0034] Furthermore, by real-time tracking and evaluation of the duration of emergency response during maintenance periods by the monitoring system, the process can promptly identify and respond to maintenance needs that exceed expectations. This dynamic adjustment mechanism ensures the adequacy and timeliness of maintenance work, helping to avoid equipment failures or production interruptions caused by insufficient or delayed maintenance. In addition, adjusting the time point according to actual maintenance needs can more reasonably plan and allocate maintenance resources, improve maintenance efficiency, and reduce unnecessary downtime.

[0035] Furthermore, by calculating the relative deviation of utilization, the process can accurately evaluate the actual operating status of the equipment and compare it with the preset target. This monitoring and evaluation mechanism helps to promptly identify problems in equipment operation, such as overuse or inefficient operation, so that appropriate measures can be taken to make adjustments. For example, if the deviation indicates that the equipment utilization is too low, it may be necessary to optimize the production plan or improve the equipment operation efficiency; if the deviation is too high, it may be necessary to consider increasing equipment maintenance or upgrading the equipment to support a higher load.

[0036] Furthermore, by using the relative deviation of utilization to correct the evaluation value, the process achieves a more flexible and adaptive control strategy. This dynamic adjustment mechanism enables the evaluation value to be optimized according to the real-time operating efficiency of the equipment, thereby more accurately reflecting and controlling the process status. When the equipment utilization rate is lower than expected, by increasing the evaluation value, the system can encourage more active adjustment measures; on the contrary, if the equipment utilization rate is higher than expected, by reducing the evaluation value, excessive adjustment and waste of resources can be avoided. This approach helps to improve production efficiency, ensure process stability and product quality, while reducing potential risks caused by equipment failure or improper adjustment. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] Figure 1 Schematic diagram of the process flow of the pretreatment process for separation and purification of decoration waste in this embodiment;

[0038] Figure 2 It is a decision logic diagram for determining the process response value of this embodiment;

[0039] Figure 3 This is a decision logic diagram for non-peak time period decision in this embodiment;

[0040] Figure 4 This is a decision logic diagram for determining the maintenance period in this embodiment. DETAILED DESCRIPTION

[0041] In order to make the objects and advantages of the present invention more clearly understood, the present invention is further described below in conjunction with embodiments; it should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0042] The preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are only used to explain the technical principles of the present invention and are not intended to limit the protection scope of the present invention.

[0043] It should be noted that, in the description of the present invention, terms such as "up", "down", "left", "right", "inside" and "outside" indicating directions or positional relationships are based on the directions or positional relationships shown in the drawings. This is merely for the convenience of description and does not indicate or imply that the device or element must have a specific orientation, be constructed and operated in a specific orientation. Therefore, it cannot be understood as a limitation on the present invention.

[0044] In addition, it should be noted that in the description of the present invention, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two components. For those skilled in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0045] See also Figure 1 As shown, it is a schematic diagram of the process flow of the pretreatment process for separation and purification of decoration waste in this embodiment;

[0046] This embodiment provides a pretreatment process for separation and purification of decoration waste, including:

[0047] Step S1, dividing the one-day pretreatment period of the decoration waste into a peak period, a non-peak period and a maintenance period according to preset division time points, the division time points include a first time point and a second time point, and setting corresponding process targets and standard equipment utilization rates for the peak period, the non-peak period and the maintenance period, respectively, the process targets include standard particle size, standard humidity and standard density;

[0048] Step S2, using a monitoring system to monitor the real-time particle size, real-time humidity and real-time density of materials in the pretreatment process of the decoration waste in each time period, calculating the process relative deviation according to the monitoring result and the process target, and using a preset nonlinear function and the process relative deviation to calculate the process response value, and determining the response level according to the process response value and the preset response evaluation value, and when it is determined that the response level is a medium response level, adjusting the real-time particle size, real-time humidity and real-time density according to the response level, the response evaluation value includes a first evaluation value and a second evaluation value, and the response level includes a slight response level, a medium response level and an emergency response level;

[0049] Step S3, using the monitoring system to obtain the duration of the emergency response level during the off-peak period and the maintenance period, and when the duration of the emergency response level during the off-peak period is greater than the preset standard off-peak duration, adjusting the first time point according to the duration of the emergency response level during the off-peak period and the standard off-peak duration;

[0050] When the duration of the emergency response level in the maintenance period is greater than the preset standard maintenance duration, adjusting the second time point according to the duration of the emergency response level in the maintenance period and the preset standard maintenance duration;

[0051] Step S4, after adjusting the division time points, use the monitoring system to monitor the real-time equipment utilization rate during the pretreatment process of the renovation waste in each time period, calculate the utilization rate relative deviation based on the real-time equipment utilization rate and the standard equipment utilization rate, and use the utilization rate relative deviation to correct the response evaluation value.

[0052] By dividing a day into peak hours, off-peak hours, and maintenance hours, different process goals and equipment utilization standards are set for different periods. During peak hours, the focus is on achieving standard particle size, humidity, and density; off-peak hours and maintenance hours focus on real-time monitoring and adjustment of equipment. The monitoring system monitors the particle size, humidity, and density of the material in real time, calculates the relative process deviation, and then adjusts the process response value. At the medium response level, material parameters are adjusted according to real-time monitoring data to achieve better pretreatment effects. In addition, special attention is paid to the duration of the emergency response level, and the time point is adjusted according to the actual situation. Finally, the response evaluation value is corrected through the real-time equipment utilization data of the monitoring system to ensure the efficiency and accuracy of the entire pretreatment process.

[0053] Through precise time division and real-time monitoring, the optimal pretreatment effect can be achieved during peak hours. At the same time, the process parameters can be adjusted during non-peak hours and maintenance periods to achieve optimized operation and maintenance of the equipment. The duration adjustment of the emergency response level and the real-time monitoring of equipment utilization further improve the flexibility and adaptability of the system, making the entire pretreatment process more intelligent and automated. This not only improves the environmental protection effect of decoration waste treatment, but also helps save energy and reduce operating costs, which is of great significance to promoting sustainable development and environmental protection.

[0054] Suppose there is a large decoration waste treatment center, which is responsible for processing decoration waste from nearby urban construction sites. The urban construction sites are undergoing large-scale renovation work, generating a large amount of decoration waste, including discarded gypsum boards, wood, bricks, concrete fragments, etc. In order to improve the processing efficiency and ensure environmental protection standards, the center decides to adopt the above pretreatment process.

[0055] The processing center has an automated pre-processing system, including crushers, screens, humidity regulators, density separators and other equipment.

[0056] Step S1: Time division and process target setting

[0057] According to the operating hours of the waste treatment center, the day is divided into peak hours (8 am to 12 noon), off-peak hours (1 pm to 5 pm), and maintenance hours (6 pm to 8 pm).

[0058] The goal during peak hours is to process large amounts of waste quickly. The process targets are: particle size less than 10 mm, humidity below 30%, and density of 1.2 g / cm 3 .

[0059] The goal during off-peak hours is to carry out fine processing and maintenance of some equipment. The process goals are set as follows: particle size less than 15mm, humidity controlled below 40%, density reaching 1.0g / cm 3 .

[0060] The goal of the maintenance period is equipment maintenance and deep cleaning. The process goals are set as follows: particle size less than 20mm, humidity controlled below 50%, and density reaching 0.8g / cm 3 .

[0061] Step S2: Real-time monitoring and process adjustment

[0062] During peak hours, the monitoring system shows that the current material particle size is 12mm, the humidity is 28%, and the density is 1.25g / cm 3 .

[0063] According to the process target, the process relative deviation is calculated, and the process response value is calculated using a nonlinear function, and the response level is determined to be medium.

[0064] Operators adjust crusher and screen parameters based on the response level to ensure that the material reaches the standard particle size and density.

[0065] Step S3: Acquisition of emergency response level duration and time point adjustment

[0066] During off-peak hours, the emergency response level lasted for up to one hour due to equipment failure, exceeding the preset 30 minutes.

[0067] Operators adjust the end time of off-peak hours based on the duration of the emergency response level and standard time to ensure adequate time for troubleshooting and equipment maintenance.

[0068] Step S4: Equipment utilization monitoring and response evaluation value correction

[0069] After the maintenance period, the monitoring system showed that the equipment utilization rate was 45%, which was lower than the preset standard of 50%.

[0070] The operator adjusts the maintenance plan according to the relative deviation of utilization, and adds maintenance personnel and tools to improve equipment utilization.

[0071] The first time point is the starting time point for dividing a day into different time periods, which is usually determined by the operation time of the garbage disposal center. In this embodiment, it is assumed that the first time point is set to 8 am.

[0072] The second time point is another time point for dividing the off-peak period and the maintenance period. In this embodiment, it is assumed that the second time point is set to 4:00 p.m.

[0073] The peak time is the time period of the day when the amount of garbage processed is the largest, usually during working hours. In this embodiment, the peak time period is from 8 am to 4 pm.

[0074] The off-peak period is a period of time during the day when the amount of waste processed is relatively small, usually after the peak period. In this embodiment, the off-peak period is from 4 p.m. to 8 p.m.

[0075] The maintenance period is a period for equipment maintenance and cleaning, usually at the end of the day. In this embodiment, the maintenance period is the same as the off-peak period, which is 4 pm to 8 pm.

[0076] The standard equipment utilization is the utilization that the preset equipment should achieve in the best state, which is usually determined based on the design and historical operation data of the equipment. In this embodiment, it is assumed that the standard equipment utilization during peak hours is 90%, during non-peak hours is 70%, and during maintenance hours is 50%.

[0077] Standard particle size, standard humidity and standard density are parameters set in the pretreatment process to ensure that the renovation waste meets the expected reuse or treatment standards. The standard particle size depends on the reuse method of the material (such as recycled building materials, filling materials, etc.), as well as the specifications of the subsequent processing equipment. It is usually set according to the specific application, ranging from a few millimeters to tens of millimeters. In this embodiment, the standard particle size is set to 10mm. If the subsequent process requires smaller particle size materials for mixing or processing, setting the standard particle size to 10mm can ensure that the material is suitable for these processes, while reducing the energy consumption and cost of subsequent processing.

[0078] The standard humidity depends on the storage and transportation requirements of the material, as well as the sensitivity to humidity during subsequent processing. It is usually set according to the material type and processing requirements, and is usually kept at a lower percentage to prevent corruption and mildew. In this embodiment, the standard humidity is set to 30%. If the material is prone to moisture absorption during storage and transportation, setting the standard humidity to 30% can reduce the weight of the material, prevent corruption, and ensure the stability of the material in subsequent use or processing.

[0079] The standard density depends on the physical properties of the material and its performance requirements in a specific application. Usually, the density standard varies from a few hundred to a few kilograms per cubic meter depending on the type and purpose of the material. In this example, it is assumed that the standard density is set to 1.2 g / cm 3 If the material is used to make lightweight building materials, the standard density of 1.2g / cm3 can ensure that the material has sufficient strength while maintaining its lightweight properties, meeting the requirements of building energy conservation and environmental protection.

[0080] The preset nonlinear function is a mathematical model for calculating the process response value, which is usually customized according to the material characteristics and process requirements. In this embodiment, the sigmoid function is used.

[0081] The process response value is calculated based on the nonlinear function and the process relative deviation, and is used to determine the current process status and make corresponding adjustments.

[0082] The first evaluation value and the second evaluation value are preset values ​​for determining the response level, which are usually set based on historical data of process parameters, equipment performance, material characteristics and operating experience. In this embodiment, the first evaluation value is set to 0.3. When the process response value is lower than this value, it indicates that the process is running well, the parameters of the equipment and materials are very close to the preset targets, and no adjustment is required. This helps to reduce unnecessary intervention and maintain the stability and efficiency of the process. The second evaluation value is set to 0.7. When the process response value is within this range, it indicates that there is a certain deviation and appropriate adjustments are needed to optimize the process. This value provides a moderate adjustment range, allowing operators to improve the material processing quality by fine-tuning process parameters instead of directly entering an emergency state.

[0083] The slight response level is the response level when the process response value is within a certain range and usually does not require major adjustments.

[0084] The medium response level is a state where the process response value exceeds the minor response level but does not reach the emergency response level. In this embodiment, the medium response level requires adjustment of the real-time particle size, humidity and density.

[0085] The emergency response level is the state when the process response value reaches the highest level and immediate action is required.

[0086] The standard off-peak duration is the normal duration of the off-peak period, which is usually set according to daily operation requirements. In this embodiment, the standard off-peak duration is set to 4 hours.

[0087] The standard maintenance duration is the normal duration of the maintenance period, which is usually set according to the equipment maintenance requirements. In this embodiment, the standard maintenance duration is set to 4 hours.

[0088] High equipment utilization levels (90%) during peak hours ensure that equipment can operate efficiently when waste generation is at its highest.

[0089] The off-peak equipment utilization standard (70%) allows for some equipment maintenance to be performed during periods of reduced throughput while maintaining a certain level of throughput capacity.

[0090] The low equipment utilization standard (50%) during the maintenance period provides ample time for equipment inspection and maintenance to prevent failures.

[0091] The use of nonlinear functions can dynamically adjust process parameters according to real-time data, improving the flexibility and accuracy of processing. The setting of process response value and response evaluation value can help quickly identify process deviations and make timely adjustments. By setting standard off-peak duration and standard maintenance duration, it can ensure that there is enough time for equipment maintenance, reduce unexpected downtime, and improve overall operational efficiency.

[0092] For example, if a device fails during peak hours, the monitoring system will immediately detect the deviation in moisture or particle size and calculate the process response value through a nonlinear function. If the response level is judged to be medium, the operator will restore the process target according to the preset adjustment strategy, such as reducing the feed rate or adjusting the parameters of the screening machine. This rapid response mechanism helps to reduce production interruptions and maintain processing efficiency.

[0093] Specifically, in step S1, a first time point and a second time point are preset, the time period between 0 o'clock and the first time point is divided into a non-peak period, the time period between the first time point and the second time point is divided into a peak period, and the time period between the second time point and 24 o'clock is divided into a maintenance period.

[0094] The day is divided into three different time periods, each with a specific function and goal. First, from 0:00 to the first time point, this time period is defined as the off-peak period, which may be used to handle a small amount of renovation waste or perform some preliminary pre-processing work. Next, from the first time point to the second time point, this time period is divided into the peak period, which is the peak period of the day for handling renovation waste, and all resources and equipment will be used intensively to handle a large amount of waste. Finally, from the second time point to 24:00, this time period is divided into the maintenance period, which is used for equipment maintenance, cleaning and preparation for the next day's work.

[0095] According to actual work needs and resource allocation, the work focus of different time periods can be reasonably arranged. Equipment and personnel can be effectively utilized during non-peak hours, resource waste can be reduced, and preparations can be made for the arrival of peak hours. Centralized processing during peak hours can improve work efficiency and ensure that a large amount of renovation waste is processed in a timely manner. The setting of maintenance periods helps to maintain the long-term stable operation of equipment. Through regular maintenance and inspection, failures can be prevented and unexpected downtime can be reduced, thereby improving the operating efficiency and reliability of the entire waste treatment center. In addition, by clearly dividing time periods and goals, the entire pretreatment process can be better monitored and managed to ensure the achievement of process goals.

[0096] Specifically, in step S2, a monitoring system is used to monitor the real-time particle size, real-time humidity and real-time density of the materials in the pretreatment process of the decoration waste in each time period, and the process relative deviation is calculated according to the monitoring results and the process target, wherein: G is the relative process deviation, w1 is the real-time particle size weight, A is the real-time particle size, A1 is the standard particle size, w2 is the real-time humidity weight, B is the real-time humidity, B1 is the standard humidity, w3 is the real-time density weight, C is the real-time density, and C1 is the standard density.

[0097] The monitoring system plays a key role in real-time monitoring of the key parameters of materials in the pre-treatment process of decoration waste: particle size, humidity and density. The real-time data of these parameters are compared with the preset standard particle size, standard humidity and standard density to calculate the process relative deviation G.

[0098] This method of real-time monitoring and calculation of relative process deviations ensures accurate control and optimization of the pretreatment process. The introduction of weights enables the monitoring system to adjust according to the degree of influence of each parameter on the quality of the final product, thereby achieving more refined process management. This method helps to quickly identify and respond to any deviations from the target, make timely adjustments, and ensure that the quality of the material meets the preset standards. In addition, through continuous monitoring and optimization, resource utilization can be improved, waste can be reduced, production efficiency can be improved, and ultimately the stability and reliability of the entire pretreatment process can be improved.

[0099] Specifically, in step S2, a nonlinear function is preset, and the process response value is calculated using the nonlinear function and the process relative deviation, wherein: R is the process response value, and k is the curve steepness coefficient.

[0100] In step S2, in order to evaluate and control the real-time quality of materials in the pretreatment process of decoration waste, we use a nonlinear function, the sigmoid function, to calculate the process response value R. The sigmoid function is very suitable for processing system responses with saturation characteristics due to its smooth S-shaped curve characteristics. In this process, the process relative deviation is used as input and converted into a value between 0 and 1 through the sigmoid function, indicating the degree of closeness between the current process state and the target state. The curve steepness coefficient k determines the steepness of the sigmoid function curve and affects the sensitivity of the response value to the process deviation.

[0101] Using the sigmoid function to calculate the process response value has several beneficial effects. First, the nonlinear characteristics of the sigmoid function enable the system to respond to different degrees of deviation more flexibly, thereby achieving more refined control. Second, by adjusting the curve steepness coefficient, the operator can control the sensitivity of the process to deviations and optimize the process response speed and stability. In addition, since the range of the sigmoid function output value is limited to between 0 and 1, this provides a standardized response level for the subsequent decision-making process, facilitating automated control and rapid decision-making.

[0102] For example, when the R value is close to 1, it indicates that the current process state is seriously deviating from the target and immediate measures need to be taken; when the R value is close to 0, it indicates that the process state is good and no adjustment is required. This standardized response value helps to improve the intelligence level of the entire pretreatment process, reduce human intervention, and improve efficiency and stability.

[0103] The curve steepness coefficient k is a parameter in the sigmoid function, which determines the slope or "steepness" of the curve, that is, how fast the function output changes. This coefficient directly affects the sensitivity and response speed of the function. In this embodiment, k is set to 3, which is a relatively moderate value designed to provide sufficient sensitivity while avoiding overreaction.

[0104] Please continue reading Figure 2 As shown, it is a decision logic diagram for determining the process response value of this embodiment;

[0105] Specifically, in step S2, a first evaluation value and a second evaluation value are preset, and the process response value is compared with the first evaluation value and the second evaluation value respectively.

[0106] If the process response value is less than the first evaluation value, the response level is determined to be a slight response level, and the process response value, the real-time particle size, the real-time humidity and the real-time density of the material are recorded;

[0107] If the process response value is greater than or equal to the first evaluation value and less than or equal to the second evaluation value, the response level is determined to be a medium response level, and the real-time particle size, real-time humidity, and real-time density are adjusted;

[0108] If the process response value is greater than the second evaluation value, the response level is determined to be an emergency response level, and the equipment is suspended and inspected.

[0109] The calculation result of the process response value will determine the adjustment strategy of the pretreatment process. First, the process response value is calculated by using the sigmoid function and the process relative deviation. Then, this response value is compared with the preset first evaluation value and the second evaluation value. If the process response value is less than the first evaluation value, the system determines it as a slight response level. At this time, only the current process response value and material parameters need to be recorded without adjustment. If the process response value is between the first evaluation value and the second evaluation value, the system determines it as a medium response level. At this time, the real-time particle size, real-time humidity and real-time density need to be adjusted to ensure that the material quality meets the standard. Finally, if the process response value is greater than the second evaluation value, the system determines it as an emergency response level. At this time, the equipment operation must be suspended and inspected to prevent potential quality problems or equipment failures.

[0110] The response level determination mechanism based on the evaluation value allows the system to take different degrees of adjustment measures according to different process response values. The determination of the minor response level helps to reduce unnecessary intervention and maintain the continuity and stability of the process. The determination of the medium response level ensures that adjustments can be made in time when material parameters deviate from the standard to prevent small deviations from accumulating into big problems. The determination of the emergency response level provides a safety net for possible serious deviations or equipment failures, avoiding quality problems or further equipment damage by suspending equipment operation.

[0111] Specifically, in step S2, when it is determined that the response level is a medium response level, the real-time particle size, real-time humidity and real-time density are adjusted according to the process response value and the first evaluation value, wherein: L' is the adjusted real-time granularity, L is the real-time granularity;

[0112] S' is the adjusted real-time humidity, S is the real-time humidity;

[0113] M' is the adjusted real-time humidity, and M is the real-time humidity.

[0114] When the process response value is judged as a medium response level, it means that the current material parameters (real-time particle size, real-time humidity, real-time density) have a certain deviation from the preset standard, but have not yet reached an emergency state. At this time, the system will dynamically adjust these parameters based on the relationship between the process response value and the first evaluation value. The adjustment process involves calculating the new real-time particle size, real-time humidity and real-time density, and ensuring that these parameters are close to the preset standards.

[0115] By making dynamic adjustments at the medium response level, the process can promptly correct deviations in material parameters, thereby maintaining the stability and efficiency of the pretreatment process. This adjustment strategy helps prevent small deviations from accumulating into larger problems, reduces the likelihood of entering the emergency response level, and thus reduces the risk of downtime due to equipment failure or product quality issues. In addition, dynamic adjustments can also optimize the use of resources, such as reducing energy and raw material waste and improving the operating efficiency of the entire pretreatment system. Ultimately, this approach can improve the quality of the material and ensure that it meets the standards for subsequent processing or use.

[0116] Please continue reading Figure 3 As shown, it is a decision logic diagram for non-peak time period decision in this embodiment;

[0117] Specifically, in step S3, a standard off-peak duration is preset, and the duration of the emergency response level during the off-peak period is obtained using the monitoring system, and the duration of the emergency response level during the off-peak period is compared with the standard off-peak duration.

[0118] If the duration of the emergency response level during the non-peak period is greater than the standard non-peak duration, it is determined that the non-peak period needs to be adjusted, and the first time point is adjusted according to the duration of the emergency response level during the non-peak period and the standard non-peak duration, wherein: H' is the first time point, H is the preset first time point, T is the duration of the emergency response level during the off-peak period, and T0 is the standard off-peak duration.

[0119] The monitoring system is used to track the duration T of the emergency response level during the off-peak period. This duration is then compared with the preset standard off-peak duration T0. If the duration of the emergency response level exceeds the standard time, the system will determine that the off-peak schedule needs to be adjusted. The specific adjustment is made by calculating a new first time point H', which is based on the comparison result of the current emergency response duration T and the preset standard duration T0.

[0120] By comparing the actual duration of the emergency response level with the standard time and adjusting the first time point accordingly, the process can flexibly respond to emergencies and ensure the adaptability and flexibility of the production plan. This dynamic adjustment helps to optimize resource allocation during non-peak hours and reduce production delays or resource waste caused by emergencies. In addition, timely adjustment of the time point can ensure that maintenance work or equipment repairs are completed in an appropriate time, thereby reducing the impact on the overall production process.

[0121] Please continue reading Figure 4 As shown, it is a decision logic diagram for determining the maintenance period in this embodiment;

[0122] Specifically, in step S3, a standard maintenance duration is preset, the duration of the emergency response level during the maintenance period is obtained using the monitoring system, and the duration of the emergency response level during the maintenance period is compared with the standard maintenance duration.

[0123] If the duration of the emergency response level in the maintenance period is longer than the standard maintenance duration, it is determined that the maintenance period needs to be adjusted, and the second time point is adjusted according to the duration of the emergency response level in the maintenance period and the standard maintenance duration, wherein: H' is the first time point, H is the preset first time point, T' is the duration of the emergency response level of the maintenance period, and T1 is the standard maintenance duration.

[0124] The monitoring system is responsible for tracking and recording the actual duration T' of the emergency response level during the maintenance period. This time is then compared with the preset standard maintenance duration T1. When the duration T' of the emergency response level exceeds the standard maintenance duration T1, the system will recognize that the maintenance period needs to be adjusted. The basis for the adjustment is the difference between the actual duration of the emergency response and the standard time. Based on this difference, the system will calculate and set a new second time point.

[0125] By monitoring the system's real-time tracking and evaluation of the duration of emergency response during maintenance periods, the process can promptly identify and respond to maintenance needs that exceed expectations. This dynamic adjustment mechanism ensures the adequacy and timeliness of maintenance work, helping to avoid equipment failures or production interruptions caused by insufficient or delayed maintenance. In addition, adjusting the time point according to actual maintenance needs can more reasonably plan and allocate maintenance resources, improve maintenance efficiency, and reduce unnecessary downtime.

[0126] Specifically, in step S4, after adjusting the division time point, the monitoring system is used to monitor the real-time equipment utilization rate in the pretreatment process of the decoration waste in each time period, and the relative deviation of the utilization rate is calculated according to the real-time equipment utilization rate and the standard equipment utilization rate, wherein, K is the relative deviation of utilization, Y is the real-time equipment utilization, and Y0 is the standard equipment utilization.

[0127] After adjusting the time point, the monitoring system begins to monitor the renovation waste pretreatment process in real time during each period, paying special attention to the utilization rate of the equipment. The system records the real-time equipment utilization rate and compares it with the preset standard equipment utilization rate. By calculating the difference between the two, the relative deviation of utilization rate is determined. This deviation value reflects the gap between the actual operating efficiency of the equipment and the expected target. If the deviation is positive, it means that the equipment utilization rate exceeds the standard; if it is negative, it means that the equipment does not achieve the expected efficiency.

[0128] By calculating the relative deviation of utilization, the process can accurately evaluate the actual operating status of the equipment and compare it with the preset target. This monitoring and evaluation mechanism helps to promptly identify problems in equipment operation, such as overuse or inefficient operation, so that appropriate measures can be taken to make adjustments. For example, if the deviation indicates that the equipment utilization is too low, it may be necessary to optimize the production plan or improve the equipment operation efficiency; if the deviation is too high, it may be necessary to consider increasing equipment maintenance or upgrading the equipment to support a higher load.

[0129] Specifically, in step S4, the utilization relative deviation is used to correct the first evaluation value and the second evaluation value, wherein E1'=E1×(1+c×K), E2'=E2×(1+d×K), E1' is the corrected first evaluation value, E1 is the preset first evaluation value, c is the first evaluation value correction coefficient, E2' is the corrected first evaluation value, E2 is the preset first evaluation value, and d is the second evaluation value correction coefficient.

[0130] In order to more accurately control the process response and adapt to actual production conditions, the utilization relative deviation K obtained by the monitoring system is used to dynamically adjust the evaluation value. The first evaluation value and the second evaluation value are multiplied by the deviation K through their respective correction coefficients c and d, and then added to the original evaluation value for correction.

[0131] By using the relative deviation of utilization to correct the evaluation value, the process achieves a more flexible and adaptive control strategy. This dynamic adjustment mechanism enables the evaluation value to be optimized according to the real-time operating efficiency of the equipment, thereby more accurately reflecting and controlling the process status. When the equipment utilization rate is lower than expected, by increasing the evaluation value, the system can encourage more active adjustment measures; conversely, if the equipment utilization rate is higher than expected, by reducing the evaluation value, excessive adjustment and waste of resources can be avoided. This approach helps to improve production efficiency, ensure process stability and product quality, while reducing potential risks caused by equipment failure or improper adjustment.

[0132] The first evaluation value correction coefficient c and the second evaluation value correction coefficient d are parameters used to adjust the preset evaluation value according to the real-time utilization relative deviation K. These coefficients determine the adjustment range and direction of the evaluation value, depending on the specific requirements of the process, historical data, equipment performance and expected production efficiency. They are positive or negative as needed, depending on whether the evaluation value needs to be increased or decreased to adapt to the deviation. If c and d are set to 0.1, it means that the evaluation value will be adjusted according to 10% of the utilization relative deviation. In this embodiment, the first evaluation value correction coefficient c is set to 0.05 and the second evaluation value correction coefficient d is set to 0.1. By setting a smaller c value, the system will not be too sensitive to slight utilization deviations, which helps to avoid frequent small adjustments and maintain the stability of the system; a larger d value means that the second evaluation value is more sensitive to larger deviations, which helps to quickly take more powerful adjustment measures when larger deviations occur.

[0133] So far, the technical solutions of the present invention have been described in conjunction with the preferred embodiments shown in the accompanying drawings. However, it is easy for those skilled in the art to understand that the protection scope of the present invention is obviously not limited to these specific embodiments. Without departing from the principle of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will fall within the protection scope of the present invention.

[0134] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A pretreatment process for separation and purification of decoration waste, characterized in that: include: Step S1, dividing the pre-processing period of the decoration waste into a peak period, a non-peak period and a maintenance period according to preset division time points, the division time points include a first time point and a second time point, and setting corresponding process targets and standard equipment utilization rates for the peak period, the non-peak period and the maintenance period, respectively, and the process targets include standard particle size, standard humidity and standard density; Step S2, using a monitoring system to monitor the real-time particle size, real-time humidity and real-time density of materials in the pretreatment process of the decoration waste in each time period, calculating the process relative deviation according to the monitoring result and the process target, and using a preset nonlinear function and the process relative deviation to calculate the process response value, and determining the response level according to the process response value and the preset response evaluation value, and when it is determined that the response level is a medium response level, adjusting the real-time particle size, real-time humidity and real-time density according to the response level, the response evaluation value includes a first evaluation value and a second evaluation value, and the response level includes a slight response level, a medium response level and an emergency response level; Step S3, using the monitoring system to obtain the duration of the emergency response level during the off-peak period and the maintenance period, and when the duration of the emergency response level during the off-peak period is greater than the preset standard off-peak duration, adjusting the first time point according to the duration of the emergency response level during the off-peak period and the standard off-peak duration; When the duration of the emergency response level in the maintenance period is greater than the preset standard maintenance duration, adjusting the second time point according to the duration of the emergency response level in the maintenance period and the preset standard maintenance duration; Step S4, after adjusting the division time point, using the monitoring system to monitor the real-time equipment utilization rate in the pretreatment process of the decoration waste in each time period, calculating the utilization rate relative deviation according to the real-time equipment utilization rate and the standard equipment utilization rate, and using the utilization rate relative deviation to correct the response evaluation value; In step S2, a nonlinear function is preset, and the process response value is calculated using the nonlinear function and the process relative deviation, wherein: R is the process response value, and k is the curve steepness coefficient.

2. The pretreatment process for separation and purification of decoration waste according to claim 1 is characterized in that: In step S1, a first time point and a second time point are preset, the time period from 0 o'clock to the first time point is divided into a non-peak period, the time period from the first time point to the second time point is divided into a peak period, and the time period from the second time point to 24 o'clock is divided into a maintenance period.

3. The pretreatment process for separation and purification of decoration waste according to claim 2 is characterized in that: In step S2, a monitoring system is used to monitor the real-time particle size, real-time humidity and real-time density of the materials in the pretreatment process of the decoration waste in each time period, and the process relative deviation is calculated according to the monitoring results and the process target, wherein: G is the relative process deviation, w1 is the real-time particle size weight, A is the real-time particle size, A1 is the standard particle size, w2 is the real-time humidity weight, B is the real-time humidity, B1 is the standard humidity, w3 is the real-time density weight, C is the real-time density, and C1 is the standard density.

4. The pretreatment process for separation and purification of decoration waste according to claim 3 is characterized in that: In step S2, a first evaluation value and a second evaluation value are preset, and the process response value is compared with the first evaluation value and the second evaluation value respectively. If the process response value is less than the first evaluation value, the response level is determined to be a slight response level, and the process response value, the real-time particle size, the real-time humidity and the real-time density of the material are recorded; If the process response value is greater than or equal to the first evaluation value and less than or equal to the second evaluation value, the response level is determined to be a medium response level, and the real-time particle size, real-time humidity, and real-time density are adjusted; If the process response value is greater than the second evaluation value, the response level is determined to be an emergency response level, and the equipment is suspended and inspected.

5. The pretreatment process for separation and purification of decoration waste according to claim 4 is characterized in that: In step S2, when it is determined that the response level is a medium response level, the real-time particle size, real-time humidity and real-time density are adjusted according to the process response value and the first evaluation value, wherein: L' is the adjusted real-time granularity, L is the real-time granularity; S' is the adjusted real-time humidity, S is the real-time humidity; M' is the adjusted real-time humidity, and M is the real-time humidity.

6. The pretreatment process for separation and purification of decoration waste according to claim 5, characterized in that: In step S3, a standard off-peak duration is preset, and the duration of the emergency response level during the off-peak period is obtained using the monitoring system, and the duration of the emergency response level during the off-peak period is compared with the standard off-peak duration. If the duration of the emergency response level during the non-peak period is greater than the standard non-peak duration, it is determined that the non-peak period needs to be adjusted, and the first time point is adjusted according to the duration of the emergency response level during the non-peak period and the standard non-peak duration, wherein: H' is the first time point, H is the preset first time point, T is the duration of the emergency response level during the off-peak period, and T0 is the standard off-peak duration.

7. The pretreatment process for separation and purification of decoration waste according to claim 6, characterized in that: In step S3, a standard maintenance duration is preset, and the duration of the emergency response level during the maintenance period is obtained using the monitoring system, and the duration of the emergency response level during the maintenance period is compared with the standard maintenance duration. If the duration of the emergency response level in the maintenance period is longer than the standard maintenance duration, it is determined that the maintenance period needs to be adjusted, and the second time point is adjusted according to the duration of the emergency response level in the maintenance period and the standard maintenance duration, wherein: H' is the first time point, H is the preset first time point, T' is the duration of the emergency response level of the maintenance period, and T1 is the standard maintenance duration.

8. The pretreatment process for separation and purification of decoration waste according to claim 7, characterized in that: In step S4, after adjusting the division time point, the monitoring system is used to monitor the real-time equipment utilization rate in the pretreatment process of the decoration waste in each time period, and the relative deviation of the utilization rate is calculated according to the real-time equipment utilization rate and the standard equipment utilization rate, wherein, K is the relative deviation of utilization, Y is the real-time equipment utilization, and Y0 is the standard equipment utilization.

9. The pretreatment process for separation and purification of decoration waste according to claim 8, characterized in that: In step S4, the utilization relative deviation is used to correct the first evaluation value and the second evaluation value, wherein E1'=E1×(1+c×K), E2'=E2×(1+d×K), E1' is the corrected first evaluation value, E1 is the preset first evaluation value, c is the first evaluation value correction coefficient, E2' is the corrected first evaluation value, E2 is the preset first evaluation value, and d is the second evaluation value correction coefficient.

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