A household garbage magnetization treatment method, device, equipment and medium
By real-time monitoring and dynamic adjustment of magnetization control parameters, the problems of land occupation, high pollution risk and high energy consumption in municipal solid waste treatment have been solved, achieving efficient and low-energy waste treatment and avoiding the resynthesis of dioxin-like pollutants.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- AGRO ENVIRONMENTAL PROTECTION INST OF MIN OF AGRI
- Filing Date
- 2026-05-12
- Publication Date
- 2026-06-09
AI Technical Summary
Existing municipal solid waste treatment technologies suffer from problems such as land occupation, high pollution risk, high energy consumption, and insufficient treatment efficiency due to fixed low-temperature pyrolysis parameters.
By monitoring furnace temperature, flue gas combustible gas concentration, residue loss on ignition, and dioxin concentration in real time, the magnetization control parameters are dynamically adjusted to match the state of municipal solid waste treatment, thereby optimizing the treatment progress and improving efficiency.
It reduces equipment investment and energy consumption, avoids the resynthesis of dioxin-like pollutants, improves the efficiency of municipal solid waste treatment, solves the pollution problems of landfill and high-temperature incineration, and improves the adaptability of fixed-parameter low-temperature pyrolysis.
Smart Images
Figure CN122164723A_ABST
Abstract
Description
Technical Field
[0001] This application relates to the field of waste treatment technology, and in particular to a method, apparatus, equipment and medium for magnetizing municipal solid waste. Background Technology
[0002] Currently, the amount of household waste generated continues to increase, and waste disposal mainly relies on landfill and high-temperature incineration.
[0003] Landfilling has drawbacks such as occupying land resources and leachate polluting groundwater and soil. Although high-temperature incineration can reduce waste volume, it requires maintaining a reaction temperature of over 800°C, resulting in high energy consumption and equipment investment. Furthermore, the flue gas cooling process is prone to the resynthesis of dioxins, making pollution control difficult. In response, the industry has proposed a low-temperature pyrolysis technology, which can reduce energy consumption to some extent. However, the parameters used in the magnetization process of municipal solid waste are fixed, resulting in poor processing efficiency. Summary of the Invention
[0004] This application provides a method, apparatus, equipment, and medium for magnetizing municipal solid waste, which can improve the efficiency of municipal solid waste treatment.
[0005] To achieve the above objectives, this application adopts the following technical solution: Firstly, this application provides a method for magnetizing municipal solid waste, comprising: The actual furnace temperature, combustible gas concentration in the exhaust gas, real-time loss on ignition of the residue, and real-time concentration of dioxins in the exhaust gas are obtained at the t-th sampling time during the municipal solid waste treatment process, where t is an integer greater than 0. The adjustment coefficient for the t-th sampling time is determined based on the actual furnace temperature, combustible gas concentration in the exhaust gas, real-time loss on ignition of the residue, and real-time concentration of dioxins in the exhaust gas at the t-th sampling time. If the adjustment coefficient at the t-th sampling time is within the preset coefficient range, then the adjustment coefficient at the t-th sampling time is determined to be valid and is determined as the final adjustment coefficient at the t-th sampling time. If the adjustment coefficient at the t-th sampling time is not within the preset coefficient range, then the adjustment coefficient at the t-th sampling time is corrected to obtain the final adjustment coefficient at the t-th sampling time. If t is greater than or equal to 2, then the magnetization control parameters at the (t-1)th sampling time are adjusted using the final adjustment coefficient at the tth sampling time to obtain the magnetization control parameters at the tth sampling time. The municipal solid waste is magnetized according to the magnetization control parameters at the t-th sampling time.
[0006] Optionally, the method further includes: If t=1, then obtain the moisture content, volatile matter mass percentage, ash mass percentage, and fixed carbon mass percentage of the municipal solid waste to be processed. Based on the moisture content, volatile matter mass percentage, ash mass percentage, and fixed carbon mass percentage of the municipal solid waste to be treated, the magnetization control parameters at the t-th sampling time are determined.
[0007] Optionally, the method further includes: Obtain the processing progress of magnetization at the t-th sampling time; If the processing progress is greater than or equal to the progress threshold, the magnetization process is stopped.
[0008] Optionally, obtaining the processing progress of magnetization at the t-th sampling time includes: Obtain the initial feed mass of the municipal solid waste to be processed and the total mass of the remaining material in the pyrolysis reactor at the t-th sampling time; The processing progress of the magnetization treatment at the t-th sampling time is determined based on the initial feed mass of the municipal solid waste to be treated, the total mass of the remaining material in the pyrolysis reactor at the t-th sampling time, and the target waste reduction rate.
[0009] Optionally, determining the magnetization control parameters at the t-th sampling time based on the moisture content, volatile matter mass percentage, ash mass percentage, and fixed carbon mass percentage of the municipal solid waste to be treated includes: The organic matter degradation difficulty coefficient is determined based on the moisture content, volatile matter mass percentage, ash mass percentage, and fixed carbon mass percentage of the municipal solid waste to be treated. The magnetic field strength at the t-th sampling time is determined based on the organic matter degradation difficulty coefficient, the minimum output magnetic field strength of the magnetization device, the maximum output magnetic field strength of the magnetization device, and the upper limit of the organic matter degradation difficulty coefficient. The inlet temperature at the t-th sampling time is determined based on the minimum inlet temperature, the maximum inlet temperature, the volatile matter mass percentage of the municipal solid waste to be treated, and the upper limit of the volatile matter mass percentage of the municipal solid waste. The air intake at the t-th sampling time is determined based on the standard air intake, the moisture content of the domestic waste to be treated, the upper limit of the moisture content of the domestic waste, the mass ratio of volatile matter in the domestic waste to be treated, and the upper limit of the mass ratio of volatile matter in the domestic waste. The residence time at the t-th sampling time is determined based on the shortest residence time, the longest residence time, the organic matter degradation difficulty coefficient, and the upper limit of the organic matter degradation difficulty coefficient. The magnetic field strength, intake temperature, intake volume, and residence time at the t-th sampling time are used as the magnetization control parameters at the t-th sampling time.
[0010] Optionally, determining the adjustment coefficient for the t-th sampling time based on the actual furnace temperature, combustible gas concentration in the exhaust gas, real-time loss on ignition of the residue, and real-time concentration of dioxins in the exhaust gas at the t-th sampling time includes:
[0011] in, This represents the adjustment factor at the t-th sampling time. This represents the actual temperature of the furnace at the t-th sampling time. This indicates the preset target furnace temperature. This represents the concentration of combustible gas in the exhaust gas at the t-th sampling time. This indicates the preset target concentration of combustible gas. This represents the real-time loss on ignition of the residue at the t-th sampling time. This indicates the preset target real-time loss on ignition of the residue. This represents the real-time concentration of dioxins in the exhaust gas at the t-th sampling time. This indicates the real-time concentration of the preset target dioxin-like substances.
[0012] Optionally, the method further includes: The initial municipal solid waste is pre-sorted and crushed to obtain the municipal solid waste to be processed.
[0013] Secondly, this application provides a device for magnetizing municipal solid waste, comprising: The acquisition module is used to acquire the actual furnace temperature, combustible gas concentration in the exhaust gas, real-time loss on ignition of the residue, and real-time concentration of dioxins in the exhaust gas at the t-th sampling time during the municipal solid waste treatment process, where t is an integer greater than 0. The adjustment module is used to determine the adjustment coefficient at the t-th sampling time based on the actual furnace temperature, combustible gas concentration in the exhaust gas, real-time loss on ignition of the residue, and real-time concentration of dioxins in the exhaust gas. If the adjustment coefficient at the t-th sampling time is within a preset coefficient range, the adjustment coefficient at the t-th sampling time is determined to be valid and is identified as the final adjustment coefficient at the t-th sampling time. If the adjustment coefficient at the t-th sampling time is not within the preset coefficient range, the adjustment coefficient at the t-th sampling time is corrected to obtain the final adjustment coefficient at the t-th sampling time. If t is greater than or equal to 2, the magnetization control parameters at the (t-1)-th sampling time are adjusted using the final adjustment coefficient at the t-th sampling time to obtain the magnetization control parameters at the t-th sampling time. The magnetization module is used to magnetize domestic waste according to the magnetization control parameters at the t-th sampling time.
[0014] Thirdly, this application provides a computing device, including a memory and a processor; The memory stores one or more computer programs, the one or more computer programs including instructions; when the instructions are executed by the processor, the computing device performs the method as described in any one of the first aspects.
[0015] Fourthly, this application provides a computer-readable storage medium for storing a computer program for performing the method as described in any one of the first aspects.
[0016] As can be seen from the above technical solution, this application has at least the following beneficial effects: This application addresses the shortcomings of existing municipal solid waste treatment technologies by simultaneously resolving the technical problems associated with landfill, high-temperature incineration, and fixed-parameter low-temperature pyrolysis. Compared to landfill, this method eliminates the need for land use and produces no leachate, thus avoiding groundwater and soil pollution. Compared to high-temperature incineration, this method operates at temperatures far below 800℃, reducing equipment investment and energy consumption, while also avoiding the conditions for dioxin resynthesis and simplifying pollution control. Compared to fixed-parameter low-temperature pyrolysis, this method calculates adjustment coefficients in real-time using operational data at sampling time t, dynamically adjusting the magnetization control parameters based on the previous time step. This ensures that the magnetization parameters match the real-time treatment status of the municipal solid waste, overcoming the technical limitation of fixed parameters failing to adapt to material changes and improving the efficiency of municipal solid waste treatment.
[0017] It should be understood that the descriptions of technical features, technical solutions, beneficial effects, or similar language in this application do not imply that all features and advantages can be achieved in any single embodiment. Rather, it is understood that the description of a feature or beneficial effect means that a specific technical feature, technical solution, or beneficial effect is included in at least one embodiment. Therefore, the descriptions of technical features, technical solutions, or beneficial effects in this specification do not necessarily refer to the same embodiment. Furthermore, the technical features, technical solutions, and beneficial effects described in this embodiment can be combined in any suitable manner. Those skilled in the art will understand that embodiments can be implemented without one or more specific technical features, technical solutions, or beneficial effects of a particular embodiment. In other embodiments, additional technical features and beneficial effects may be identified in specific embodiments that do not embody all embodiments. Attached Figure Description
[0018] Figure 1 A flowchart illustrating a method for magnetizing municipal solid waste, provided as an embodiment of this application; Figure 2A schematic diagram of a municipal solid waste magnetization treatment device provided in an embodiment of this application; Figure 3 This is a schematic diagram of a computing device provided in an embodiment of this application. Detailed Implementation
[0019] The terms "first," "second," and "third," etc., used in this application specification and accompanying drawings are used to distinguish different objects, not to limit a specific order.
[0020] In the embodiments of this application, the terms "exemplary" or "for example" are used to indicate that something is an example, illustration, or description. Any embodiment or design that is described as "exemplary" or "for example" in the embodiments of this application should not be construed as being more preferred or advantageous than other embodiments or design. Specifically, the use of the terms "exemplary" or "for example" is intended to present the relevant concepts in a specific manner.
[0021] To ensure clarity and conciseness in the description of the following embodiments, a brief introduction to the related technologies is given first: Magnetization treatment of municipal solid waste refers to the treatment of air by magnetizing it under low temperature conditions using a magnetic field device, thereby increasing the reactivity of oxygen molecules and promoting the decomposition reaction of organic matter in municipal solid waste, thus achieving waste reduction, harmlessness and resource recovery.
[0022] During the magnetization process, the actual furnace temperature, the concentration of combustible gas in the exhaust gas, the real-time loss on ignition of the residue, and the concentration of dioxins are all in a dynamic state. In traditional schemes, the magnetization control parameters are fixed. As the magnetization process proceeds, the fixed magnetization control parameters no longer match the municipal solid waste to be treated, thereby reducing the efficiency of the magnetization process.
[0023] In view of this, embodiments of this application provide a method for magnetizing municipal solid waste, which can be executed by a processing device. This processing device can be a terminal or a server. Terminals include, but are not limited to, smartphones, tablets, laptops, personal digital assistants, or smart wearable devices. The server can be a cloud server, such as a central server in a central cloud computing cluster or an edge server in an edge cloud computing cluster. Alternatively, the server can be a server in a local data center. A local data center refers to a data center directly controlled by the user.
[0024] This application addresses the problems of existing municipal solid waste treatment technologies, such as land occupation, high pollution risk, high energy consumption, and insufficient treatment efficiency due to fixed low-temperature pyrolysis parameters. The method determines the initial operating parameters based on material characteristics, calculates dynamic adjustment coefficients based on multi-dimensional real-time operating data, and corrects the magnetization control parameters time by time to ensure that the reaction conditions are always adapted to the real-time treatment status of municipal solid waste. At the same time, the treatment endpoint is determined by quantifying the treatment progress, thereby improving the efficiency of municipal solid waste treatment while reducing energy consumption and pollutant emissions.
[0025] To make the technical solution of this application clearer and easier to understand, the following description, in conjunction with the accompanying drawings, introduces a method for magnetizing municipal solid waste according to an embodiment of this application. Figure 1 As shown, this figure is a flowchart of a method for magnetizing municipal solid waste according to an embodiment of this application. The method includes: S201. The processing equipment acquires the actual furnace temperature, combustible gas concentration in the exhaust gas, real-time loss on ignition of the residue, and real-time concentration of dioxins in the exhaust gas at the t-th sampling time during the municipal solid waste treatment process, where t is an integer greater than 0.
[0026] The actual furnace temperature refers to the operating temperature measured inside the furnace of the pyrolysis reactor at sampling time t. The combustible gas concentration in the exhaust gas refers to the volume percentage of combustible gas components in the exhaust gas produced by the pyrolysis of municipal solid waste at sampling time t. The real-time loss on ignition rate of the residue refers to the proportion of mass loss of the solid residue produced by pyrolysis after high-temperature combustion at sampling time t. The real-time concentration of dioxins in the exhaust gas refers to the measured concentration of dioxin pollutants in the exhaust gas at sampling time t.
[0027] After municipal solid waste enters the processing equipment and the magnetization pyrolysis reaction is initiated, the equipment will acquire operational status data at pre-set time intervals. Here, t is a positive integer representing the time sequence number of the data acquisition; t=1 corresponds to the first sampling time point after the reaction starts, t=2 corresponds to the second sampling time point, and so on, used to distinguish operational data collected at different times. At the t-th sampling time, the processing equipment simultaneously collects the above four operational parameters through built-in temperature sensors, online flue gas monitoring devices, and residue detection components.
[0028] S202. The processing equipment determines the adjustment coefficient for the t-th sampling time based on the actual furnace temperature, combustible gas concentration in the exhaust gas, real-time loss on ignition of the residue, and real-time concentration of dioxins in the exhaust gas.
[0029] The adjustment coefficient at the t-th sampling time is a dimensionless value calculated by the processing equipment based on four real-time operating data at the t-th sampling time. It is used to correct the magnetization control parameters so that the operating state approaches the preset target.
[0030] After the processing equipment completes the acquisition of four operational data points at sampling time t, the data processing unit inside the equipment calculates the adjustment coefficient for sampling time t based on the actual furnace temperature, combustible gas concentration in the exhaust gas, real-time loss on ignition of the residue, and real-time concentration of dioxins in the exhaust gas. This adjustment coefficient characterizes the degree of deviation between the current processing state and the preset target state. The larger the deviation, the higher the adjustment coefficient value, enabling the processing equipment to automatically correct its operating parameters according to the real-time operating status, avoiding the problem of low processing efficiency caused by using fixed parameters.
[0031] The formula for calculating the adjustment coefficient at the t-th sampling time is:
[0032] in, This represents the adjustment factor at the t-th sampling time. This represents the actual temperature of the furnace at the t-th sampling time. This indicates the preset target furnace temperature. This represents the concentration of combustible gas in the exhaust gas at the t-th sampling time. This indicates the preset target concentration of combustible gas. This represents the real-time loss on ignition of the residue at the t-th sampling time. This indicates the preset target real-time loss on ignition of the residue. This represents the real-time concentration of dioxins in the exhaust gas at the t-th sampling time. This indicates the real-time concentration of the preset target dioxin-like substances.
[0033] In this application, the actual furnace temperature directly reflects the environmental conditions of the pyrolysis reaction, and its deviation from the target temperature affects the rate and pathway of the organic matter pyrolysis reaction, thus it is given a high weight; the concentration of combustible gas in the exhaust gas characterizes the degree of pyrolysis reaction, and its deviation from the target concentration can reflect the progress of the reaction, thus it is given a second-highest weight; the real-time loss on ignition of the residue reflects the degree of complete decomposition of organic matter, and its deviation from the target value can reflect the thoroughness of the pyrolysis reaction, thus it is given a medium weight; the real-time concentration of dioxins in the exhaust gas reflects the level of pollutant emission control, and its deviation from the target concentration can reflect the compliance of pollution control, thus it is given a low weight.
[0034] S203. If the adjustment coefficient at the t-th sampling time is within the preset coefficient range, then the adjustment coefficient at the t-th sampling time is determined to be valid and is determined as the final adjustment coefficient at the t-th sampling time.
[0035] The preset coefficient range refers to the pre-defined range of adjustment coefficient values, including the lower limit and the upper limit of the range.
[0036] The calculated adjustment coefficient at the t-th sampling time is compared with the pre-defined range of adjustment coefficient values. If the value of the adjustment coefficient falls within the defined range, the currently calculated adjustment coefficient is deemed to meet the judgment requirements, and this adjustment coefficient is directly set as the actual adjustment coefficient used at the current sampling time. For example, assuming the pre-defined preset coefficient range is 0-0.4, if the adjustment coefficient calculated at the t-th sampling time based on parameters such as the actual furnace temperature and the concentration of combustible gas in the exhaust gas is 0.3, since 0.3 is within the range of 0-0.4, this adjustment coefficient is deemed valid, and 0.3 is directly determined as the final adjustment coefficient at the t-th sampling time.
[0037] S204. If the adjustment coefficient at the t-th sampling time is not within the preset coefficient range, then the adjustment coefficient at the t-th sampling time is corrected to obtain the final adjustment coefficient at the t-th sampling time.
[0038] When the calculated adjustment coefficient at the t-th sampling time is not within the preset coefficient range, the adjustment coefficient needs to be corrected to fall within a reasonable range, and finally the final adjustment coefficient used for parameter adjustment is obtained.
[0039] Taking the preset coefficient range of 0-0.4 as an example, if the original adjustment coefficient calculated at the t-th sampling time is 0.5, and the value is not within the preset coefficient range, then the adjustment coefficient needs to be corrected; the corrected value will be limited to the range of 0-0.4, and will be used as the final adjustment coefficient at the t-th sampling time.
[0040] The corrected expression for the final adjustment coefficient at the t-th sampling time is:
[0041] in, This represents the final adjustment coefficient at the t-th sampling time. This indicates the lower limit of the preset adjustment coefficient range. This indicates the upper limit of the preset adjustment coefficient range. This represents the corrected weight at the t-th sampling time. This represents the deviation between the original adjustment coefficient and the midpoint of the interval at the t-th sampling time. This represents the adjustment coefficient at the t-th sampling time.
[0042] When the original adjustment coefficient is within the preset reasonable range, it is directly used as the final adjustment coefficient, maintaining the current control logic unchanged. When the original adjustment coefficient is not within the preset reasonable range, a correction weight and deviation value are introduced to correct it, bringing the adjustment coefficient back to the reasonable range. This correction process can not only avoid the adjustment coefficient from exceeding the safe range due to fluctuations in operating conditions, but also dynamically adjust the correction intensity based on indicators such as the current combustible gas concentration and the real-time loss on ignition rate of the residue, so that the corrected coefficient matches the actual reaction conditions.
[0043] In some examples, the corrected weights at the t-th sampling time mentioned above The calculation expression is:
[0044] in, This represents the concentration of combustible gas in the exhaust gas at the t-th sampling time. This indicates the preset target concentration of combustible gas. This represents the real-time loss on ignition of the residue at the t-th sampling time. This indicates the preset target real-time loss on ignition rate of the residue.
[0045] In this embodiment, the correction weighting formula uses the absolute deviation between the combustible gas concentration in the exhaust gas and the target combustible gas concentration, and the absolute deviation between the real-time loss on ignition of the residue and the target real-time loss on ignition of the residue, as inputs to calculate a correction weighting coefficient not less than 1. The greater the deviation between the operating condition and the target value, the greater the correction weight, and the stronger the pressure reduction force on the adjustment coefficient exceeding the upper limit during the correction process, ensuring that the corrected coefficient quickly returns to the preset range.
[0046] S205. If t is greater than or equal to 2, then the magnetization control parameters at the (t-1)th sampling time are adjusted using the final adjustment coefficient at the tth sampling time to obtain the magnetization control parameters at the tth sampling time.
[0047] When the processing device enters the second or subsequent sampling time (i.e., t≥2), it no longer uses the initially set fixed parameters, but instead performs iterative optimization based on previous operational feedback. Specifically, the processing device first uses the final adjustment coefficient calculated at the t-th sampling time, and takes the magnetization control parameters at the (t-1)-th sampling time as a benchmark, to perform quantitative correction calculations on the magnetization control parameters, thereby obtaining magnetization control parameters adapted to the current processing environment.
[0048] This process enables the processing equipment to continuously optimize its operating strategy based on the real-time processing status of municipal solid waste, avoiding the problem of low processing efficiency caused by fixed parameters being unable to adapt to changes in materials.
[0049] The expression for calculating the magnetization control parameters at the t-th sampling time is:
[0050] in, This represents the value of the k-th type of magnetization control parameter after adjustment at the t-th sampling time. Indicates the t-th The value of the k-th type of magnetization control parameter executed at one sampling time. This represents the correction coefficient corresponding to the k-th type of magnetization control parameter. This represents the final adjustment coefficient at the t-th sampling time. This represents the deviation direction coefficient, which is used when the k-th type of magnetization control parameter needs to be adjusted upwards under actual operating conditions. When the actual operating conditions require a reduction in the type k magnetization control parameter, For example: when the actual furnace temperature is greater than the preset target furnace temperature, it needs to be lowered; conversely, it needs to be raised. If the magnetization control parameter is greater than the equipment's maximum allowable value, then control is performed according to the equipment's maximum allowable value; if the magnetization control parameter is less than the equipment's minimum allowable value, then control is performed according to the equipment's minimum allowable value.
[0051] Correction coefficient The weighting of the effects of different magnetization control parameters on the pyrolysis reaction environment, reaction process, decomposition completeness, and pollution control is determined. For example, magnetic field strength is a parameter that directly affects the activity of oxygen molecules and the pyrolysis efficiency of organic matter, and has the highest impact on the treatment effect, so a large correction coefficient is set, for example, a value of 0.6; inlet temperature is an environmental parameter that affects the pyrolysis reaction rate, and has a secondary impact on the treatment process, so a medium correction coefficient is set, for example, a value of 0.4; inlet volume is an auxiliary control parameter that affects the oxygen supply level, and has a relatively low impact on the treatment process, so a small correction coefficient is set, for example, a value of 0.3.
[0052] If t=1, then obtain the moisture content, volatile matter mass percentage, ash mass percentage, and fixed carbon mass percentage of the municipal solid waste to be processed.
[0053] The processing equipment performs pre-sorting and crushing operations on initial municipal solid waste to obtain the waste to be processed. Initial municipal solid waste refers to the raw municipal solid waste collected but not yet entering the processing flow. It has a complex composition, including biodegradable organic matter, inorganic matter, and large debris, with varying particle sizes and uncertain impurity content. Pre-sorting refers to the process of manually or mechanically separating construction waste, metal products, ceramic products, glass products, and other non-degradable or equipment-damaging impurities from the initial municipal solid waste. Crushing refers to feeding the remaining pre-sorted municipal solid waste into crushing equipment, where shearing, impact, and other methods are used to reduce the particle size, uniformly bringing it to a preset range (e.g., no larger than 50mm). Moisture content refers to the percentage of water mass in the municipal solid waste to be processed relative to the total mass of the material. Volatile matter mass percentage refers to the percentage of organic matter that can volatilize and decompose at low temperatures in the municipal solid waste to be processed relative to the total mass of the material. Ash mass percentage refers to the percentage of non-combustible inorganic matter in the municipal solid waste to be processed relative to the total mass of the material. Fixed carbon mass percentage refers to the percentage of the mass of solid carbonaceous components remaining in the municipal solid waste after removing moisture, volatile matter, and ash, relative to the total mass of the material.
[0054] When municipal solid waste enters the magnetization pyrolysis reactor and the magnetization pyrolysis reaction is started, the processing equipment does not use universal fixed parameters at the first sampling moment (i.e., the first data acquisition node after the reaction starts). Instead, it uses the four material characteristic data of the municipal solid waste to be processed to calculate the magnetization control parameters at the initial moment, including magnetic field strength, inlet temperature, inlet volume, and residence time.
[0055] The processing equipment first calculates the organic matter degradation difficulty coefficient based on four material characteristic data to quantify the pyrolysis characteristics of the material; then, based on the organic matter degradation difficulty coefficient, it matches four control parameters: magnetic field strength, inlet temperature, inlet volume, and residence time, so that the initial operating parameters are adapted to the actual pyrolysis requirements of the municipal solid waste to be processed.
[0056] The specific process for determining the magnetization control parameters at the first sampling time is as follows: First, the treatment equipment determines the organic matter degradation difficulty coefficient based on the moisture content, volatile matter mass percentage, ash mass percentage, and fixed carbon mass percentage of the municipal solid waste to be treated.
[0057] The organic matter degradation difficulty coefficient is a dimensionless index calculated based on four material component data, used to quantify the overall ease or difficulty of the organic matter decomposition reaction in municipal solid waste to be treated.
[0058] The formula for calculating the difficulty coefficient of organic matter degradation is as follows:
[0059] in, This indicates the difficulty coefficient of organic matter degradation. This indicates the moisture content of the household waste to be processed. This indicates the percentage of volatile matter by mass in the household waste awaiting treatment. This indicates the ash content by mass of the municipal solid waste to be processed. This indicates the percentage of fixed carbon in the municipal solid waste to be treated. To represent the minimum value, avoid having a denominator of 0.
[0060] The processing equipment determines the magnetic field strength at the t-th sampling time based on the organic matter degradation difficulty coefficient, the minimum output magnetic field strength of the magnetization device, the maximum output magnetic field strength of the magnetization device, and the upper limit of the organic matter degradation difficulty coefficient.
[0061] After calculating the organic matter degradation difficulty coefficient, the processing equipment combines this coefficient with the hardware performance parameters of the magnetization device to determine the initial magnetic field strength. Specifically, the processing equipment uses the organic matter degradation difficulty coefficient as input, while introducing the device's minimum and maximum output magnetic field strengths as hardware boundary constraints, and the upper limit of the degradation difficulty coefficient as a calculation range constraint, thus converting the material degradation difficulty into a corresponding magnetic field strength value.
[0062] The expression for the magnetic field strength at the t-th sampling time is:
[0063] in, This represents the magnetic field strength at the t-th sampling time. Indicates the minimum output magnetic field strength of the magnetizing device. This indicates the maximum output magnetic field strength of the magnetizing device. This indicates the difficulty coefficient of organic matter degradation. This represents the upper limit of the difficulty coefficient for organic matter degradation.
[0064] The processing equipment determines the inlet temperature at the t-th sampling time based on the minimum inlet temperature, the maximum inlet temperature, the volatile matter mass percentage of the municipal solid waste to be processed, and the upper limit of the volatile matter mass percentage of the municipal solid waste.
[0065] After acquiring the volatile matter mass percentage data of the municipal solid waste to be treated, the processing equipment will use this volatile matter mass percentage data as input, and combine it with the equipment's own minimum and maximum inlet air temperature hardware constraints, as well as the preset upper limit value of the volatile matter mass percentage as the calculation range constraint, to convert the content of easily degradable components of the material into the corresponding inlet air temperature value.
[0066] The formula for calculating the intake air temperature at the t-th sampling time is:
[0067] in, This represents the intake air temperature at the t-th sampling time. Indicates the minimum intake air temperature. Indicates the maximum intake air temperature. This indicates the percentage of volatile matter by mass in the household waste awaiting treatment. This indicates the upper limit of the mass percentage of volatile matter in household waste.
[0068] The processing equipment determines the air intake at the t-th sampling time based on the standard air intake, the moisture content of the domestic waste to be processed, the upper limit of the moisture content of the domestic waste, the mass ratio of volatile matter in the domestic waste to be processed, and the upper limit of the mass ratio of volatile matter in the domestic waste.
[0069] The treatment equipment is based on the standard air intake volume, and also incorporates two material characteristic data of the municipal solid waste to be treated, namely the moisture content and the mass ratio of volatile matter, as the basis for adjustment. Then, it combines the corresponding upper limit values of moisture content and upper limit values of volatile matter mass ratio as the calculation range constraints, and converts the moisture content and reactivity of the material into an appropriate air intake volume value.
[0070] The expression for calculating the intake volume at the t-th sampling time is:
[0071] in, This represents the intake volume at the t-th sampling time. Indicates standard intake volume. This indicates the moisture content of the household waste to be processed. This indicates the upper limit of the moisture content of household waste. This indicates the percentage of volatile matter by mass in the household waste awaiting treatment. This indicates the upper limit of the mass percentage of volatile matter in household waste.
[0072] The processing equipment determines the residence time at the t-th sampling moment based on the shortest residence time, the longest residence time, the organic matter degradation difficulty coefficient, and the upper limit of the organic matter degradation difficulty coefficient.
[0073] The minimum residence time refers to the minimum material residence time required for the processing equipment to ensure that the pyrolysis reaction is basically completed. It is a lower limit constraint set for the residence time to avoid incomplete decomposition due to excessively short residence time.
[0074] The maximum residence time refers to the maximum time that materials can remain in the processing equipment safely and without excessive carbonization. It is an upper limit constraint set for the residence time to prevent excessive residence from causing energy waste or equipment burden.
[0075] The residence time at the t-th sampling time refers to the target residence time value set by the processing equipment at the t-th sampling time (initial time t=1) to adapt to the pyrolysis requirements of the municipal solid waste to be processed. It directly determines the contact time between the material and the magnetized air, affecting the completeness of decomposition and the reduction effect.
[0076] The processing equipment takes the organic matter degradation difficulty coefficient as input, and introduces the shortest and longest residence times of the equipment as hardware boundary constraints, and the upper limit of the degradation difficulty coefficient as the calculation range constraint, so as to convert the pyrolysis reaction difficulty of the material into the corresponding residence time value.
[0077] The expression for calculating the dwell time at the t-th sampling time is:
[0078] in, This represents the dwell time at the t-th sampling time. Indicates the shortest stay time. Indicates the longest stay. This indicates the difficulty coefficient of organic matter degradation. This represents the upper limit of the difficulty coefficient for organic matter degradation.
[0079] S206. The processing equipment magnetizes the municipal solid waste according to the magnetization control parameters at the t-th sampling time.
[0080] It should be noted that when t=1, the magnetization control parameters at the t-th sampling time refer to the magnetic field strength, intake temperature, intake volume, and residence time. When t is greater than 1, the magnetization control parameters at the t-th sampling time refer to the magnetic field strength, intake temperature, and intake volume.
[0081] After the processing equipment determines the magnetization control parameters at the t-th sampling time, it will synchronously adjust each system module according to these target parameters to perform magnetization treatment on municipal solid waste: the magnetization device outputs the set magnetic field strength to activate oxygen molecules in the reaction system; the air intake system supplies air to the reactor at the set temperature and flow rate to provide the required temperature environment and oxygen supply for the pyrolysis reaction; the reactor control system controls the processing time of the material according to the set residence time to ensure that the reaction proceeds fully. Through the coordinated execution of each system module, municipal solid waste completes the magnetization pyrolysis reaction under the magnetic field, temperature, oxygen supply and time conditions adapted to its pyrolysis requirements, achieving efficient decomposition of organic matter.
[0082] In some embodiments, the method further includes: First, the processing device obtains the processing progress of the magnetization process at the t-th sampling time.
[0083] The processing progress of magnetization treatment refers to the degree of magnetization and decomposition of municipal solid waste in the reactor, which is used to reflect whether the reaction is sufficient and whether the control parameters need to be adjusted further.
[0084] Specifically, the processing equipment acquires the initial feed mass of the municipal solid waste to be processed and the total mass of the remaining material in the pyrolysis reactor at the t-th sampling time. Based on the initial feed mass of the municipal solid waste to be processed, the total mass of the remaining material in the pyrolysis reactor at the t-th sampling time, and the target waste reduction rate, the processing progress of the magnetization treatment at the t-th sampling time is determined. The expression for calculating the processing progress of the magnetization treatment at the t-th sampling time is:
[0085] in, This indicates the processing progress of magnetization at the t-th sampling time. This indicates the initial mass of the household waste to be processed. This represents the total mass of the remaining material in the pyrolysis reactor at the t-th sampling time. Indicates the target waste reduction rate, for example The value is 0.75.
[0086] If the processing progress is greater than or equal to the progress threshold, the magnetization process is stopped.
[0087] At each sampling moment, the processing equipment compares the calculated processing progress with the preset progress threshold. When the processing progress is greater than or equal to the progress threshold, it indicates that the magnetization and decomposition reaction of the current municipal solid waste has reached the preset completion level, meets the processing requirements, and no further processing is required. At this time, the processing equipment will automatically perform a shutdown operation, stop the magnetic field output, air intake, heating and other related actions, and end the current magnetization process. This ensures that the processing effect meets the standards and avoids over-processing that would lead to energy waste and ineffective equipment operation.
[0088] Based on the above description, this application has the following beneficial effects: This application addresses the shortcomings of existing municipal solid waste treatment technologies by simultaneously resolving the technical problems associated with landfill, high-temperature incineration, and fixed-parameter low-temperature pyrolysis. Compared to landfill, this method eliminates the need for land use and produces no leachate, thus avoiding groundwater and soil pollution. Compared to high-temperature incineration, this method operates at temperatures far below 800℃, reducing equipment investment and energy consumption, while also avoiding the conditions for dioxin resynthesis and simplifying pollution control. Compared to fixed-parameter low-temperature pyrolysis, this method calculates adjustment coefficients in real-time using operational data at sampling time t, dynamically adjusting the magnetization control parameters based on the previous time step. This ensures that the magnetization parameters match the real-time treatment status of the municipal solid waste, overcoming the technical limitation of fixed parameters failing to adapt to material changes and improving the efficiency of municipal solid waste treatment.
[0089] The above text combined Figure 1 The method for magnetizing municipal solid waste provided in this application has been described in detail. The apparatus and equipment provided in this application will be described below with reference to the accompanying drawings.
[0090] like Figure 2 As shown in the figure, this is a schematic diagram of a magnetization treatment device for municipal solid waste provided in an embodiment of this application. The device includes: The acquisition module 301 is used to acquire the actual furnace temperature, combustible gas concentration in the exhaust gas, real-time loss on ignition of the residue, and real-time concentration of dioxins in the exhaust gas at the t-th sampling time during the municipal solid waste treatment process, where t is an integer greater than 0. The adjustment module 302 is used to determine the adjustment coefficient at the t-th sampling time based on the actual furnace temperature, combustible gas concentration in the exhaust gas, real-time loss on ignition of the residue, and real-time concentration of dioxins in the exhaust gas at the t-th sampling time; if the adjustment coefficient at the t-th sampling time is within a preset coefficient range, the adjustment coefficient at the t-th sampling time is determined to be valid and is determined as the final adjustment coefficient at the t-th sampling time; if the adjustment coefficient at the t-th sampling time is not within the preset coefficient range, the adjustment coefficient at the t-th sampling time is corrected to obtain the final adjustment coefficient at the t-th sampling time. If t is greater than or equal to 2, then the magnetization control parameters at the (t-1)th sampling time are adjusted using the final adjustment coefficient at the tth sampling time to obtain the magnetization control parameters at the tth sampling time. The magnetization processing module 303 is used to magnetize domestic waste according to the magnetization control parameters at the t-th sampling time.
[0091] Optionally, the adjustment module 302 is also used to obtain the moisture content, volatile matter mass percentage, ash mass percentage and fixed carbon mass percentage of the municipal solid waste to be treated if t=1. Based on the moisture content, volatile matter mass percentage, ash mass percentage, and fixed carbon mass percentage of the municipal solid waste to be treated, the magnetization control parameters at the t-th sampling time are determined.
[0092] Optionally, the magnetization processing module 303 is also used to obtain the processing progress of the magnetization processing at the t-th sampling time. If the processing progress is greater than or equal to the progress threshold, the magnetization process is stopped.
[0093] Optionally, the magnetization processing module 303 is specifically used to obtain the initial feed mass of the municipal solid waste to be processed and the total mass of the remaining material in the pyrolysis reactor at the t-th sampling time. The processing progress of the magnetization treatment at the t-th sampling time is determined based on the initial feed mass of the municipal solid waste to be treated, the total mass of the remaining material in the pyrolysis reactor at the t-th sampling time, and the target waste reduction rate.
[0094] Optionally, the adjustment module 302 is specifically used to determine the organic matter degradation difficulty coefficient based on the moisture content, volatile matter mass ratio, ash mass ratio, and fixed carbon mass ratio of the municipal solid waste to be treated. The magnetic field strength at the t-th sampling time is determined based on the organic matter degradation difficulty coefficient, the minimum output magnetic field strength of the magnetization device, the maximum output magnetic field strength of the magnetization device, and the upper limit of the organic matter degradation difficulty coefficient. The inlet temperature at the t-th sampling time is determined based on the minimum inlet temperature, the maximum inlet temperature, the volatile matter mass percentage of the municipal solid waste to be treated, and the upper limit of the volatile matter mass percentage of the municipal solid waste. The air intake at the t-th sampling time is determined based on the standard air intake, the moisture content of the domestic waste to be treated, the upper limit of the moisture content of the domestic waste, the mass ratio of volatile matter in the domestic waste to be treated, and the upper limit of the mass ratio of volatile matter in the domestic waste. The dwell time at the t-th sampling time is determined based on the shortest dwell time, the longest dwell time, the organic matter degradation difficulty coefficient, and the upper limit of the organic matter degradation difficulty coefficient.
[0095] Optionally, the adjustment module 302 is specifically used to determine the adjustment coefficient for the t-th sampling time based on the actual furnace temperature, combustible gas concentration in the exhaust gas, real-time loss on ignition of the residue, and real-time concentration of dioxins in the exhaust gas, including:
[0096] in, This represents the adjustment factor at the t-th sampling time. This represents the actual temperature of the furnace at the t-th sampling time. This indicates the preset target furnace temperature. This represents the concentration of combustible gas in the exhaust gas at the t-th sampling time. This indicates the preset target concentration of combustible gas. This represents the real-time loss on ignition of the residue at the t-th sampling time. This indicates the preset target real-time loss on ignition of the residue. This represents the real-time concentration of dioxins in the exhaust gas at the t-th sampling time. This indicates the real-time concentration of the preset target dioxin-like substances.
[0097] Optionally, the adjustment module 302 is also used to pre-sort and crush the initial domestic waste to obtain domestic waste to be processed.
[0098] The municipal solid waste magnetization treatment device according to the embodiments of this application can correspondingly execute the method described in the embodiments of this application, and the other operations and / or functions of each module / unit of the municipal solid waste magnetization treatment device are respectively for realizing Figure 1 For the sake of brevity, the corresponding processes of each method in the illustrated embodiments will not be described in detail here.
[0099] This application also provides a computing device. For example... Figure 3 As shown in the figure, this is a schematic diagram of a computing device provided in an embodiment of this application. The computing device 700 includes a bus 701, a processor 702, a communication interface 703, and a memory 704. The processor 702, the memory 704, and the communication interface 703 communicate with each other via the bus 701.
[0100] The 701 bus can be a Peripheral Component Interconnect (PCI) bus or an Extended Industry Standard Architecture (EISA) bus, etc. Buses can be categorized as address buses, data buses, control buses, etc. For ease of representation, Figure 3 The bus is represented by a single thick line, but this does not mean that there is only one bus or one type of bus.
[0101] The processor 702 can be any one or more of the following processors: central processing unit (CPU), graphics processing unit (GPU), microprocessor (MP), or digital signal processor (DSP).
[0102] The communication interface 703 is used for communication with external devices.
[0103] Memory 704 may include volatile memory, such as random access memory (RAM). Memory 704 may also include non-volatile memory, such as read-only memory (ROM), flash memory, hard disk drive (HDD), or solid state drive (SSD).
[0104] The memory 704 stores executable code, and the processor 702 executes the executable code to perform the aforementioned method for magnetizing municipal solid waste.
[0105] Specifically, in achieving Figure 2 In the case of the illustrated embodiment, and Figure 2 When the modules or units of the municipal solid waste magnetization treatment device described in the embodiments are implemented by software, the following steps are performed: Figure 2 The software or program code required for the functions of each module / unit can be partially or wholly stored in the memory 704. The processor 702 executes the program code corresponding to each unit stored in the memory 704 to perform the aforementioned municipal solid waste magnetization treatment method.
[0106] This application also provides a computer-readable storage medium. The computer-readable storage medium can be any available medium capable of being stored by a computing device, or a data storage device such as a data center containing one or more available media. The available medium can be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., solid-state drive). The computer-readable storage medium includes instructions that instruct a computing device to perform the aforementioned method for magnetizing municipal solid waste.
[0107] This application also provides a computer program product comprising one or more computer instructions. When the computer instructions are loaded and executed on a computing device, all or part of the processes or functions described in this application are generated.
[0108] The computer instructions may be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another. For example, the computer instructions may be transmitted from one website, computer, or data center to another website, computer, or data center via wired (e.g., coaxial cable, fiber optic, digital subscriber line) or wireless (e.g., infrared, wireless, microwave, etc.) means.
[0109] When the computer program product is executed by a computer, the computer performs any of the aforementioned methods of the municipal solid waste magnetization treatment method. The computer program product can be a software installation package; when any of the aforementioned methods of the municipal solid waste magnetization treatment method is required, the computer program product can be downloaded and executed on the computer.
[0110] The descriptions of the processes or structures corresponding to the above figures each have their own emphasis. For parts of a process or structure that are not described in detail, please refer to the relevant descriptions of other processes or structures.
[0111] The above description is merely a specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any changes or substitutions within the technical scope disclosed in this application should be covered within the scope of protection of this application.
Claims
1. A method for magnetizing municipal solid waste, characterized in that, The method includes: The actual furnace temperature, combustible gas concentration in the exhaust gas, real-time loss on ignition of the residue, and real-time concentration of dioxins in the exhaust gas are obtained at the t-th sampling time during the municipal solid waste treatment process, where t is an integer greater than 0. The adjustment coefficient for the t-th sampling time is determined based on the actual furnace temperature, combustible gas concentration in the exhaust gas, real-time loss on ignition of the residue, and real-time concentration of dioxins in the exhaust gas at the t-th sampling time. If the adjustment coefficient at the t-th sampling time is within the preset coefficient range, then the adjustment coefficient at the t-th sampling time is determined to be valid and is determined as the final adjustment coefficient at the t-th sampling time. If the adjustment coefficient at the t-th sampling time is not within the preset coefficient range, then the adjustment coefficient at the t-th sampling time is corrected to obtain the final adjustment coefficient at the t-th sampling time. If t is greater than or equal to 2, then the magnetization control parameters at the (t-1)th sampling time are adjusted using the final adjustment coefficient at the tth sampling time to obtain the magnetization control parameters at the tth sampling time. The municipal solid waste is magnetized according to the magnetization control parameters at the t-th sampling time.
2. The method according to claim 1, characterized in that, The method further includes: If t=1, then obtain the moisture content, volatile matter mass percentage, ash mass percentage, and fixed carbon mass percentage of the municipal solid waste to be processed. Based on the moisture content, volatile matter mass percentage, ash mass percentage, and fixed carbon mass percentage of the municipal solid waste to be treated, the magnetization control parameters at the t-th sampling time are determined.
3. The method according to claim 1, characterized in that, The method further includes: Obtain the processing progress of magnetization at the t-th sampling time; If the processing progress is greater than or equal to the progress threshold, the magnetization process is stopped.
4. The method according to claim 3, characterized in that, The process of obtaining the magnetization progress at the t-th sampling time includes: Obtain the initial feed mass of the municipal solid waste to be processed and the total mass of the remaining material in the pyrolysis reactor at the t-th sampling time; The processing progress of the magnetization treatment at the t-th sampling time is determined based on the initial feed mass of the municipal solid waste to be treated, the total mass of the remaining material in the pyrolysis reactor at the t-th sampling time, and the target waste reduction rate.
5. The method according to claim 2, characterized in that, The determination of the magnetization control parameters at the t-th sampling time based on the moisture content, volatile matter mass percentage, ash mass percentage, and fixed carbon mass percentage of the municipal solid waste to be treated includes: The organic matter degradation difficulty coefficient is determined based on the moisture content, volatile matter mass percentage, ash mass percentage, and fixed carbon mass percentage of the municipal solid waste to be treated. The magnetic field strength at the t-th sampling time is determined based on the organic matter degradation difficulty coefficient, the minimum output magnetic field strength of the magnetization device, the maximum output magnetic field strength of the magnetization device, and the upper limit of the organic matter degradation difficulty coefficient. The inlet temperature at the t-th sampling time is determined based on the minimum inlet temperature, the maximum inlet temperature, the volatile matter mass percentage of the municipal solid waste to be treated, and the upper limit of the volatile matter mass percentage of the municipal solid waste. The air intake at the t-th sampling time is determined based on the standard air intake, the moisture content of the domestic waste to be treated, the upper limit of the moisture content of the domestic waste, the mass ratio of volatile matter in the domestic waste to be treated, and the upper limit of the mass ratio of volatile matter in the domestic waste. The residence time at the t-th sampling time is determined based on the shortest residence time, the longest residence time, the organic matter degradation difficulty coefficient, and the upper limit of the organic matter degradation difficulty coefficient. The magnetic field strength, intake temperature, intake volume, and residence time at the t-th sampling time are used as the magnetization control parameters at the t-th sampling time.
6. The method according to claim 1, characterized in that, The adjustment coefficient for the t-th sampling time is determined based on the actual furnace temperature, combustible gas concentration in the exhaust gas, real-time loss on ignition of the residue, and real-time concentration of dioxins in the exhaust gas, including: in, This represents the adjustment factor at the t-th sampling time. This represents the actual temperature of the furnace at the t-th sampling time. This indicates the preset target furnace temperature. This represents the concentration of combustible gas in the exhaust gas at the t-th sampling time. This indicates the preset target concentration of combustible gas. This represents the real-time loss on ignition of the residue at the t-th sampling time. This indicates the preset target real-time loss on ignition of the residue. This represents the real-time concentration of dioxins in the exhaust gas at the t-th sampling time. This indicates the real-time concentration of the preset target dioxin-like substances.
7. The method according to any one of claims 1-6, characterized in that, The method further includes: The initial municipal solid waste is pre-sorted and crushed to obtain the municipal solid waste to be processed.
8. A device for magnetizing municipal solid waste, characterized in that, The device includes: The acquisition module is used to acquire the actual furnace temperature, combustible gas concentration in the exhaust gas, real-time loss on ignition of the residue, and real-time concentration of dioxins in the exhaust gas at the t-th sampling time during the municipal solid waste treatment process, where t is an integer greater than 0. The adjustment module is used to determine the adjustment coefficient at the t-th sampling time based on the actual furnace temperature, combustible gas concentration in the exhaust gas, real-time loss on ignition of the residue, and real-time concentration of dioxins in the exhaust gas. If the adjustment coefficient at the t-th sampling time is within a preset coefficient range, the adjustment coefficient at the t-th sampling time is determined to be valid and is identified as the final adjustment coefficient at the t-th sampling time. If the adjustment coefficient at the t-th sampling time is not within the preset coefficient range, the adjustment coefficient at the t-th sampling time is corrected to obtain the final adjustment coefficient at the t-th sampling time. If t is greater than or equal to 2, the magnetization control parameters at the (t-1)-th sampling time are adjusted using the final adjustment coefficient at the t-th sampling time to obtain the magnetization control parameters at the t-th sampling time. The magnetization module is used to magnetize domestic waste according to the magnetization control parameters at the t-th sampling time.
9. A computing device, characterized in that, Including memory and processor; The memory stores one or more computer programs, the one or more computer programs including instructions; when the instructions are executed by the processor, the computing device performs the method as described in any one of claims 1 to 7.
10. A computer-readable storage medium, characterized in that, The computer-readable storage medium is used to store a computer program for performing the method as described in any one of claims 1 to 7.