An energy-saving type fabricated garbage power generation incineration plant design optimization method

Abstract

This invention relates to the field of digital data processing technology, specifically to a design optimization method for an energy-saving prefabricated waste-to-energy incineration plant. The method includes: collecting multi-source monitoring data during the operation of the waste-to-energy incineration system, including waste characteristic data, grid load data, and incinerator operating condition data; determining the urgency of incineration input based on the waste characteristic data and grid load data, whereby the urgency characterizes the degree of urgency of the waste-to-energy incineration system's demand for waste input; determining waste feeding demand indicators based on the urgency of incineration input and incinerator operating condition data; and adjusting the rated feeding speed according to the waste feeding demand indicators to obtain a target feeding speed, enabling the waste-to-energy incineration system to operate based on the target feeding speed. This invention achieves precise matching between the feeding speed and real-time operating conditions, improving the energy conversion efficiency of the incineration power generation process.

Description

Technical Field

[0001] This invention relates to the field of electronic digital data processing technology, specifically to a method for optimizing the design of an energy-saving prefabricated waste-to-energy incineration plant. Background Technology

[0002] Prefabricated waste-to-energy incineration plants are urban solid waste treatment and energy recovery facilities constructed using a modular approach. Their core function is to generate heat energy by incinerating municipal solid waste and converting it into electricity, thereby achieving waste reduction, harmlessness, and resource recovery.

[0003] In the operation of an incineration plant, the feed rate is a key parameter determining incineration efficiency and energy output. Currently, this parameter is mainly controlled based on fixed design values ​​or the experience of operators. This control mode is static or semi-static and cannot be adjusted in real time and accurately according to the complex changes in fuel characteristics, energy demand, and combustion environment during actual operation. As a result, the incineration process often operates under suboptimal conditions, leading to unstable energy conversion efficiency, poor operating economy, and the failure to effectively tap the overall energy-saving potential of the plant.

[0004] Especially for energy-efficient prefabricated factories that emphasize rapid construction, modular integration, and optimal energy efficiency, the initial design requires that each subsystem achieve efficient collaboration and rapid response. However, the traditional, extensive, and lagging material control methods are fundamentally contradictory to the dynamic adaptation and system linkage operation concepts pursued by prefabricated factories, becoming a prominent technical bottleneck restricting the achievement of the design energy efficiency goals of such factories. Summary of the Invention

[0005] To address the technical problem of low energy efficiency caused by the mismatch between feeding speed and real-time operating conditions during waste-to-energy incineration, this invention aims to provide an energy-saving prefabricated waste-to-energy incineration plant design optimization method. The specific technical solution adopted is as follows: Firstly, a design optimization method for an energy-saving prefabricated waste-to-energy incineration plant is provided. This method includes: collecting multi-source monitoring data during the operation of the waste-to-energy incineration system. The multi-source monitoring data includes waste characteristic data, power grid load data, and incinerator operating condition data. Waste characteristic data characterizes the thermal energy supply-related attributes of the waste; power grid load data characterizes the power demand status of the power grid; and incinerator operating condition data characterizes the operating status of the incinerator. Based on the waste characteristic data and power grid load data, the urgency of incineration input is determined. The urgency of incineration input characterizes the degree of urgency of the waste-to-energy incineration system's demand for waste input. Based on the urgency of incineration input and incinerator operating condition data, a waste feeding demand index is determined. The rated feeding speed is adjusted according to the waste feeding demand index to obtain a target feeding speed, so that the waste-to-energy incineration system operates based on the target feeding speed.

[0006] In one possible design, the urgency of incineration input is determined based on waste characteristic data and grid load data, including: determining the effective calorific value factor of waste based on waste characteristic data, which characterizes the actual ability of waste to be converted into usable thermal energy; determining the demand for incineration power generation based on grid load data, which characterizes the intensity of grid demand for the output power of the waste incineration power generation system in the short term; and determining the urgency of incineration input based on the effective calorific value factor of waste and the demand for incineration power generation.

[0007] In one possible design, the effective calorific value factor of waste is determined based on waste characteristic data, including: obtaining the average calorific value of waste during a first target time period and the historical maximum average calorific value from the waste characteristic data; the first target time period is a time period ending at the current time and containing a duration of a first preset duration; the historical maximum average calorific value is the maximum value among the average calorific values ​​corresponding to consecutive time periods of the first preset duration during the historical operation of the waste-to-energy incineration system; obtaining the average moisture content of waste during the first target time period and the historical maximum average moisture content from the waste characteristic data; the historical maximum average moisture content is the maximum value among the average moisture content corresponding to consecutive time periods of the first preset duration during the historical operation of the waste-to-energy incineration system; and determining the effective calorific value factor of waste based on the average calorific value, the historical maximum average calorific value, the average moisture content, and the historical maximum average moisture content.

[0008] In one possible design, the demand for waste-to-energy incineration is determined based on grid load data, including: obtaining the average grid load during a second target time period and the historical average grid load from the grid load data; the second target time period is a period ending at the current time and including a second preset duration; the historical average grid load is the average grid load during the continuous historical operation of the waste-to-energy incineration system; performing linear fitting on the grid load data during the second target time period, and determining the load change trend based on the slope of the obtained fitted line; and determining the demand for waste-to-energy incineration based on the average grid load, the historical average grid load, and the load change trend.

[0009] In one possible design, waste feeding demand indicators are determined based on the urgency of incineration input and incinerator operating data. This includes: obtaining the average feeding rate and average grate speed within a third target time period from the incinerator operating data; the third target time period being the period ending at the current time and including a third preset duration; determining a strong feeding tendency coefficient based on the average feeding rate, average grate speed, and urgency of incineration input; the strong feeding tendency coefficient characterizing the appropriateness of increasing the incinerator feeding rate; determining a combustion deterioration inhibition factor based on the time-series temperature and carbon monoxide concentration data from the incinerator operating data; the combustion deterioration inhibition factor characterizing the urgency of needing to suppress the feeding rate due to combustion deterioration; and determining the waste feeding demand indicators based on the strong feeding tendency coefficient and the combustion deterioration inhibition factor.

[0010] In one possible design, combustion deterioration inhibition factors are determined based on time-series temperature and carbon monoxide concentration data from the incinerator operating data. This includes: determining the combustion completeness response based on the temperature time-series data, which characterizes the degree of complete combustion of waste in the incinerator; determining the growth rate index of carbon monoxide concentration in the third target period based on the carbon monoxide concentration time-series data, which characterizes the instantaneous change trend of carbon monoxide concentration; and determining the combustion deterioration inhibition factors based on the combustion completeness response and the growth rate index.

[0011] In one possible design, the combustion completeness is determined based on temperature time-series data, including: obtaining the average furnace temperature during the third target time period and the historical maximum average furnace temperature from the temperature time-series data, where the historical maximum average furnace temperature is the maximum value among the average furnace temperatures corresponding to consecutive time periods of the third preset duration during the historical operation of the waste-to-energy incineration system; determining the standard deviation of the furnace temperature during the third target time period as the temperature fluctuation characteristic; and determining the combustion completeness based on the average furnace temperature, the historical maximum average furnace temperature, and the temperature fluctuation characteristic.

[0012] In one possible design, multi-source monitoring data is collected during the operation of the waste-to-energy incineration system, including: acquiring waste characteristic data during the operation of the waste-to-energy incineration system through sensors, including real-time calorific value data of the waste burned in the incinerator and moisture content data of the waste at the feed inlet; acquiring grid load data during the operation of the waste-to-energy incineration system through grid monitoring equipment; and acquiring incinerator operating condition data during the operation of the waste-to-energy incineration system through incinerator operating condition monitoring equipment, including feed rate, grate speed, furnace temperature, and carbon monoxide concentration.

[0013] In one possible design, the above method further includes: monitoring the parameters of superheated steam generated by incineration after controlling the waste incineration power generation system to operate based on the target feeding rate; and dynamically adjusting the opening of the turbine's intake valve according to the superheated steam parameters and the state of the generator set to stabilize the power generation output.

[0014] In one possible design, the above method further includes: after controlling the waste-to-energy incineration system to operate based on the target feeding rate, collecting after-effect monitoring data reflecting the incineration effect, including the furnace temperature and carbon monoxide concentration during the fourth target time period, the start time of the fourth target time period being the moment when the waste-to-energy incineration system operates based on the target feeding rate, and the duration being the fourth preset duration; determining the combustion quality deviation between the actual combustion state and the target combustion state during the fourth target time period based on the after-effect monitoring data; and using the combustion quality deviation as a feedback signal to calibrate the process of determining the urgency of incineration input and / or waste feeding demand indicators.

[0015] The present invention has the following beneficial effects: The energy-saving prefabricated waste-to-energy incineration plant design optimization method provided in this invention is deeply aligned with the core characteristics of energy-saving prefabricated plants: "integrated design, rapid response, and efficient collaboration." This method first quantifies the macroscopic urgency of incineration input based on the waste thermal energy supply attributes and the power grid demand status. Then, it integrates the real-time operating status of the incinerator to determine precise waste feeding demand indicators. Finally, based on these indicators, the rated feeding speed is dynamically adjusted bidirectionally to form a target feeding speed highly adapted to actual operating conditions and drive system operation. By constructing a dynamic decision-making model based on multi-source real-time data, rapid and precise adaptive adjustment of the feeding speed is achieved. This not only meets the needs of prefabricated plants for rapid commissioning and flexible adjustment of the process system but also reflects their modular integration and overall energy efficiency design philosophy. It breaks through the limitations of traditional preset fixed feeding speed and avoids the deviation in demand judgment caused by single data dimension analysis. It makes the feeding control not only fit the dynamic changes of the heat energy supply capacity of the waste itself and the demand of the power grid, but also accurately match the micro-operational status of feeding and conveying and combustion completeness in the incinerator. It effectively solves the core problem of mismatch between feeding speed and actual operation demand in traditional methods. It systematically improves the stability of the incineration process and energy conversion efficiency, which is the key process control link to achieve the energy-saving design target of energy-saving prefabricated waste-to-energy incineration plant. Attached Figure Description

[0016] To more clearly illustrate the technical solutions and advantages in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0017] Figure 1 This is a schematic diagram of a design optimization system for an energy-saving prefabricated waste-to-energy incineration plant according to an embodiment of the present invention. Figure 2 This is a flowchart illustrating a design optimization method for an energy-saving prefabricated waste-to-energy incineration plant, as provided in one embodiment of the present invention. Detailed Implementation

[0018] To further illustrate the technical means and effects adopted by the present invention to achieve its intended purpose, the following, in conjunction with the accompanying drawings and preferred embodiments, details the specific implementation, structure, features, and effects of an energy-saving prefabricated waste-to-energy incineration plant design optimization method proposed according to the present invention. In the following description, different "one embodiment" or "another embodiment" do not necessarily refer to the same embodiment. Furthermore, specific features, structures, or characteristics in one or more embodiments can be combined in any suitable form.

[0019] In embodiments of the present invention, the terms "exemplary" or "for example" are used to indicate that something is an example, illustration, or description. Any embodiment or design described as "exemplary" or "for example" in embodiments of the present invention should not be construed as being more preferred or advantageous than other embodiments or designs. Specifically, the use of the terms "exemplary" or "for example" is intended to present the relevant concepts in a specific manner.

[0020] In the description of this invention, unless otherwise stated, " / " means "or". For example, A / B can mean A or B. The term "and / or" in this document is merely a description of the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A alone, A and B simultaneously, and B alone. Furthermore, "at least one" and "more than one" refer to two or more. The terms "first," "second," etc., do not limit the quantity or order of execution, and "first," "second," etc., do not necessarily imply differences.

[0021] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention pertains.

[0022] The following description, in conjunction with the accompanying drawings, details a specific scheme for the design optimization method of an energy-saving prefabricated waste-to-energy incineration plant provided by this invention.

[0023] Please see Figure 1 The diagram illustrates a structural schematic of an energy-saving prefabricated waste-to-energy incineration plant design optimization system according to an embodiment of the present invention. Figure 1 As shown, the energy-saving prefabricated waste-to-energy incineration plant design optimization system 10 includes a data acquisition unit 11, a data processing unit 12, a feeding demand optimization unit 13, and a feeding control unit 14.

[0024] The data acquisition unit 11 connects to the sensor module, power grid detection equipment, and incinerator operating condition monitoring equipment to collect multi-source monitoring data during the operation of the waste incineration power generation system.

[0025] The sensor module includes a calorific value analyzer and an infrared moisture analyzer. The calorific value analyzer is used to read the real-time calorific value data generated by burning waste in the incinerator, and the infrared moisture analyzer is deployed at the feed inlet of the incinerator to collect the moisture content data of the waste at the feed inlet.

[0026] The power grid monitoring equipment connects to the power dispatching system to obtain real-time power grid load data during the operation of the waste-to-energy incineration system.

[0027] The incinerator operating condition monitoring equipment uses temperature sensors, CO (carbon monoxide) concentration sensors, and equipment operation control system to simultaneously collect data on furnace temperature, carbon monoxide concentration, feeding rate, and grate speed, comprehensively characterizing the real-time operating status inside the incinerator.

[0028] After acquiring multi-source monitoring data, the data acquisition unit 11 performs data cleaning and preprocessing on the acquired data and then transmits it synchronously to the data processing unit 12 and the feeding demand optimization unit 13.

[0029] In some embodiments, the wiring and communication interfaces of the sensor network (such as a calorific value analyzer, infrared moisture meter, temperature sensor, and CO concentration sensor) of the data acquisition unit 11 can be pre-planned and integrated according to the division of prefabricated components and process modules in the prefabricated building. During the factory prefabrication stage, relevant sensing elements and cables can be embedded or pre-embedded in the corresponding building and process modules to achieve synchronization with the factory prefabrication process. After on-site assembly, the system can be quickly connected to form a standardized data acquisition network, thereby supporting the multi-source, low-latency data acquisition requirements of the optimization algorithm of this invention.

[0030] The data processing unit 12 is used to extract the average calorific value of the current first target time period (such as the previous 3 seconds) and the average historical maximum calorific value, and at the same time extract the average moisture content of the same period and the average historical maximum moisture content, comprehensively evaluate the actual ability of the current waste to be converted into usable heat energy, and output the effective calorific value factor of the waste.

[0031] The data processing unit 12 is also used to extract the average grid load of the second target period (such as the first 10 minutes) and the historical average grid load over a longer period, and to perform trend fitting analysis on the recent load data to obtain the load change trend; finally, by combining the average grid load and the load change trend, the incineration power generation demand index, which represents the intensity of short-term power generation demand, is output.

[0032] The data processing unit 12 is also used to integrate the effective calorific value factor of waste with the incineration power generation demand, calculate the urgency of incineration input to guide the global input strategy, and output the feed demand optimization unit 13.

[0033] The feeding demand optimization unit 13 is used to obtain the average feeding speed and average grate speed of the third target time period (such as the first 3 seconds), and analyze the matching relationship between the two and the overall demand in combination with the urgency of combustion input, and output a strong feeding tendency coefficient, which directly reflects the immediate suitability of increasing the feeding speed.

[0034] The feed demand optimization unit 13 is also used to calculate the combustion completeness reflection degree, which reflects the degree of combustion completeness, based on the average furnace temperature during the third target period, the historical maximum average furnace temperature, and the standard deviation of temperature fluctuation; at the same time, it calculates the growth rate index based on the carbon monoxide concentration data during the same period. Subsequently, by combining these two parameters, a combustion deterioration inhibition factor is calculated, which quantifies the urgency of suppressing the feed rate due to the deterioration of the combustion state.

[0035] The feeding demand optimization unit 13 is also used to integrate the strong feeding tendency coefficient and the combustion deterioration inhibition factor to generate the final, normalized waste feeding demand index, which directly determines the adjustment range of the feeding speed and sends it to the feeding control unit 14.

[0036] The feeding control unit 14 is used to receive the waste feeding demand index from the feeding demand optimization unit 13, and call the rated feeding speed (such as 15 tons / hour) stored in the system to calculate the specific target feeding speed value in real time.

[0037] The feeding control unit 14 is also used to encapsulate the target feeding speed value into a standard control command and send it to the electrical control unit of the underlying feeding equipment (such as a feeder) of the waste incineration power generation system through the industrial communication network, so that the waste incineration power generation system can operate based on the target feeding speed, thereby achieving precise adjustment of the input energy in the incineration process and ultimately achieving the optimization goal of improving the overall energy efficiency of the system.

[0038] Please see Figure 2 The diagram illustrates a flowchart of an energy-saving prefabricated waste-to-energy incineration plant design optimization method according to an embodiment of the present invention, including the following steps S201-S204.

[0039] S201. Collect multi-source monitoring data during the operation of the waste incineration power generation system.

[0040] The multi-source monitoring data includes waste characteristic data, power grid load data, and incinerator operating condition data. Waste characteristic data is used to characterize the heat energy supply-related attributes of waste, power grid load data is used to characterize the power demand status of the power grid, and incinerator operating condition data is used to characterize the operating status of the incinerator.

[0041] One possible approach is to acquire waste characteristic data during the operation of the waste-to-energy incineration system via sensors. This waste characteristic data includes the real-time calorific value of the waste burned in the incinerator and the moisture content of the waste at the feed inlet. Additionally, the system can acquire grid load data during operation via grid monitoring equipment and incinerator condition data during operation via incinerator condition monitoring equipment. This incinerator condition data includes feed rate, grate speed, furnace temperature, and carbon monoxide concentration.

[0042] In some embodiments, waste characteristic data during the operation of the waste-to-energy incineration system are acquired by sensors, including: continuously measuring the calorific value data of the waste produced in real time by burning waste in the incinerator using a calorific value analyzer, and continuously measuring the moisture content data of the waste to be entered into the incinerator using an infrared moisture meter deployed at the incinerator feed inlet, wherein the moisture content data is used to characterize the mass percentage of water in the waste.

[0043] The power grid load data during the operation of the waste incineration power generation system is obtained through power grid monitoring equipment. This includes: collecting real-time load power data of the power grid at a preset sampling frequency (such as once per second) through a power information monitoring module connected to the power dispatching system or the plant bus measurement and control device, and obtaining a power grid load data sequence. The power grid load data is used to reflect the demand status of the external power grid for electricity in real time.

[0044] The incinerator operating condition data during the operation of the waste-to-energy incineration system is acquired through incinerator operating condition monitoring equipment. This includes: acquiring the real-time operating speed of the feeding equipment via a first data interface connected to the equipment operation control system, as the feeding speed; acquiring the real-time operating speed of the grate via a second data interface connected to the equipment operation control system, as the grate speed; and simultaneously, collecting temperature data at different locations within the furnace using thermocouples or infrared thermometers evenly distributed at multiple temperature measuring points, which are then averaged or weighted to form time-series data of the furnace temperature. Furthermore, continuously collecting carbon monoxide concentration data in the flue gas using carbon monoxide concentration sensors installed in the incinerator flue, forming time-series data of carbon monoxide concentration. The furnace temperature, carbon monoxide concentration, feeding speed, and grate speed together constitute the incinerator operating condition data, used to comprehensively characterize the real-time operating and combustion states within the incinerator.

[0045] All collected raw data undergoes data cleaning and preprocessing, including removing outliers that are significantly beyond the physical range, performing linear interpolation to complete lost instantaneous signals, and adding a uniform time stamp to all data to ensure data time sequence alignment.

[0046] S202. Determine the urgency of incineration input based on waste characteristic data and power grid load data.

[0047] Among them, the urgency of incineration input is used to characterize the urgency of the waste-to-energy incineration system's demand for waste input.

[0048] As one possible approach, firstly, based on waste characteristic data, an effective calorific value factor for waste is determined, which characterizes the actual ability of waste to be converted into usable thermal energy.

[0049] In some embodiments, the average value of the calorific value data collected within the first target time period is extracted from the waste characteristic data and denoted as the calorific value mean. The first target time period is the time period ending at the current time, and its duration is a first preset duration (e.g., 3 seconds, 5 seconds, etc.). Simultaneously, the maximum value of the average calorific value calculated from the waste-to-energy incineration system over all consecutive first preset duration time periods in the past is retrieved from the historical database and recorded as the historical maximum average calorific value. .

[0050] Similarly, the average value of the moisture content data collected during the first target time period is extracted from the waste characteristic data and recorded as the average moisture content. It also retrieves the maximum value of the average moisture content calculated from the historical database for all consecutive first preset time periods of the waste-to-energy incineration system, and records it as the historical average maximum calorific value. .

[0051] Further, based on the average calorific value, the average historical maximum calorific value, the average moisture content, and the average historical maximum moisture content, the effective calorific value factor of the waste is determined. The calculation formula for determining the effective calorific value factor of waste is as follows: In the formula, The effective calorific value factor of waste, This represents the average calorific value corresponding to the first target time period. This represents the average of the historical maximum heat values. This represents the average water content corresponding to the first target time period. This represents the historical average maximum water content. For the natural constant An exponential function with base 0.

[0052] Among them, the effective calorific value factor of waste The effective calorific value factor of waste is positively correlated with the calorific value level of the first target time period (since the first target time period is a short period ending at the current time, it can be considered as the current time period). It is negatively correlated with the moisture content level of the first target time period (the higher the moisture content of the waste, the more heat energy is required for moisture evaporation after incineration; conversely, the lower the moisture content, the more heat energy is directly used for calorific value supply). The higher the value, the stronger the effective heat energy supply capacity of the current waste.

[0053] It should be noted that in the above calculation formula for determining the effective calorific value factor of waste, waste combustion necessarily has a certain calorific value, and waste necessarily has a certain moisture content. After the system accumulates a certain amount of operational data, as well as The value will be a definite value greater than zero. When the system is initially put into operation and there is no historical data, a reasonable positive number can be preset as the initial benchmark value for calculation to avoid the denominator being 0, which would make the calculation formula meaningless.

[0054] Secondly, based on grid load data, the demand for incineration power generation is determined. The demand for incineration power generation is used to characterize the intensity of the grid's demand for the output power of the waste incineration power generation system in the short term.

[0055] In some embodiments, the average value of the power grid load data collected during the second target time period is extracted from the power grid load data and denoted as the power grid load average. The second target time period is the time period ending at the current time, and its duration is the second preset duration (e.g., 8 minutes, 10 minutes, 12 minutes, etc.). Simultaneously, the average grid load during the continuous historical operation of the waste-to-energy incineration system is retrieved from the historical database and recorded as the historical average grid load. .

[0056] Then, the power grid load data within the second target time period is subjected to linear fitting, and the slope of the fitted line is normalized within a positive range. The value obtained after normalization is recorded as the load change trend. For example, it can be achieved through... The slope of the fitted line is mapped to the interval between 0.01 and 1, where, The slope of the fitted line, The maximum absolute value of the slope in historical data; hour, , hour, , hour, This is to ensure that the load change trend remains positive and reflects a recent increase in grid load. Larger) or attenuation ( The trend is relatively small.

[0057] Further, based on the average grid load, historical average grid load, and load change trends, the demand for incineration power generation is determined. The calculation formula for the demand for incineration power generation is as follows: In the formula, To meet the demand for incineration power generation, This represents the average grid load for the second target time period. This represents the historical average of the power grid load. This represents the trend of load changes.

[0058] Among them, the demand for incineration power generation The load level and its trend during the second target period (which is a short period ending at the current time) are positively correlated. The higher the value, the more urgent the grid's demand for power generation in the short term.

[0059] It should be noted that in the above formula for calculating the demand for waste-to-energy power generation, It is the average load of the power grid over a relatively long historical period. The power grid load always has a baseline value and cannot be zero for a long time. The value should be greater than zero. When the system is initially put into operation and there is no historical data, a reasonable positive number can be preset as the initial reference value for calculation to avoid the calculation formula being meaningless due to the denominator being 0.

[0060] Finally, the urgency of incineration input is determined based on the effective calorific value factor of waste and the demand for incineration power generation.

[0061] In some embodiments, the formula for determining the urgency of incineration input is as follows: In the formula, To increase the urgency of incineration, The effective calorific value factor of waste, To meet the demand for incineration power generation, This is a normalization function used to map input values ​​to a range of 0 to 1. For example, a maximum / minimum value normalization method can be used, based on a preset upper and lower limit of the range. When the value exceeds the preset upper limit of the range, the output is 1. The output is 0 when the value is less than the preset lower limit of the range.

[0062] Among them, if the effective calorific value factor of waste is low in the short term The larger the value, the stronger the effective thermal energy supply capacity of waste, and the higher the predicted demand for incineration power generation in the near future. The larger the value, the higher the urgency of the demand for feed input, supported by fuel quality. When the effective thermal energy supply capacity of waste is strong ( (High value) and high demand for grid power generation ( When the value is large, A value approaching 1 indicates that, given sufficient fuel quality, the system urgently needs to input more waste to meet power generation demands; conversely, a value approaching 1 indicates insufficient effective calorific value supply from waste (e.g., due to high moisture content). When the value is small, The value will approach 0, indicating that feeding should be suppressed and priority should be given to ensuring stable combustion in the furnace, so as to avoid the wet waste reducing the furnace temperature and affecting combustion.

[0063] Understandably, in this embodiment of the invention, the effective calorific value factor of waste, which can truly reflect the actual heat energy supply capacity of waste, is first determined based on the calorific value and moisture content data of waste. Then, the incineration power generation demand degree, which accurately represents the intensity of short-term power demand of the power grid, is determined by combining the average data and trend data of the power grid load. Finally, the urgency of incineration input is obtained through the synergistic correlation analysis of the two. This can comprehensively and accurately quantify the macroscopic operating demand of the waste incineration power generation system, effectively avoiding the demand judgment bias caused by relying solely on the calorific value of waste or the power grid load data. This ensures that the determination of the urgency of incineration input fully considers the impact of the waste's own properties on energy supply and closely follows the dynamic changes in the power grid's demand. This provides a scientific and reliable macroscopic decision-making basis for the subsequent calculation of waste feeding demand indicators based on the incinerator operating data, thereby ensuring the accurate matching of the target feeding speed with the actual operating demand and helping to improve the energy conversion efficiency and operational stability of the energy-saving prefabricated waste-to-energy incineration plant.

[0064] S203. Determine the waste feeding demand indicators based on the urgency of incineration input and the incinerator operating data.

[0065] As one possible approach, firstly, the average feed rate collected during the third target time period is extracted from the incinerator operating data and denoted as the average feed rate. The average grate speed collected during the third target time period is denoted as the average grate speed. The third target time period is the time period ending at the current time and includes a third preset duration (e.g., 3 seconds, 5 seconds, etc.). Further, based on the average feed rate, average grate rate, and urgency of combustion input, a strong feed tendency coefficient is determined. This strong feed tendency coefficient is used to characterize the appropriateness of increasing the incinerator feed rate.

[0066] In some embodiments, the formula for calculating the strong feeding tendency coefficient is as follows: In the formula, The strong feeding tendency coefficient, This is the average grate speed. This is the average feed rate. To increase the urgency of incineration, It should be a very small positive number, for example, an empirical value of 0.001 can be taken to prevent the denominator from being zero. This is a normalization function used to map input values ​​to a range of 0 to 1. For example, a maximum / minimum value normalization method can be used, based on a preset upper and lower limit of the range. When the value exceeds the preset upper limit of the range, the output is 1. The output is 0 when the value is less than the preset lower limit of the range.

[0067] Among them, the faster the grate speed is relative to the feed speed, that is... The larger the value, the thinner the material layer inside the furnace may be, indicating the potential to accept more material. In this case, if the overall input demand is urgent, that is... The larger the value, the stronger the feeding tendency coefficient. The higher the value, the better. The closer the value is to 1, the higher the suitability of increasing the feeding speed under the current working conditions; conversely, the lower the suitability, the lower the suitability.

[0068] It needs to be explained that, To ensure the average feeding rate, the feeding equipment operates continuously with a rate greater than zero when the waste-to-energy incineration system is in operation. If the feeding equipment stops completely, the waste-to-energy incineration system is not considered to be in operation and therefore does not require optimization.

[0069] Secondly, based on the time-series data of temperature and carbon monoxide concentration in the incinerator operating data, a combustion deterioration inhibition factor is determined. The combustion deterioration inhibition factor is used to characterize the urgency of suppressing the feed rate due to the deterioration of the combustion state.

[0070] In some embodiments, the average value of the furnace temperature collected during the third target time period is extracted from the temperature time series data and denoted as the furnace temperature mean. The standard deviation of the furnace temperature during the third target time period was determined and denoted as the temperature fluctuation characteristic. Simultaneously, the maximum value of the average furnace temperature calculated from the historical database for all consecutive third-preset time periods of the waste-to-energy incineration system is recorded as the historical maximum average furnace temperature. Then, based on the average furnace temperature, the historical maximum average furnace temperature, and temperature fluctuation characteristics, the degree of complete combustion is determined. The calculation formula for determining the degree of complete combustion is as follows: In the formula, For complete combustion reaction, This represents the average furnace temperature during the third target time period. This represents the historical average maximum furnace temperature (because the furnace temperature during operation is much higher than the ambient temperature, therefore...). (a value that is significantly greater than zero) Characterized by temperature fluctuations. This is a positive number set based on experience (its value ranges from 1 to 10℃, and based on experience, a value of 3℃ can be taken), used to limit the maximum amplification factor of temperature fluctuation characteristics. This is a preset reference fluctuation constant with temperature dimensions, for example, it can be taken as... ℃, Used as a scaling reference, It becomes a dimensionless factor characterizing the relative temperature of temperature fluctuations. When When it is extremely small, It will not tend to 0, thus avoiding Approaching infinity The magnitude of this determines the maximum contribution to the temperature fluctuation characteristics. Thus, even in... When I was very young, no matter How small, They will all be made of smaller This leads to a smaller, reasonable output value.

[0071] Among them, the degree of complete combustion reaction The furnace temperature level is positively correlated with the third target time period (since the third target time period is a short period ending at the current time, it can be considered as the current time period), and the temperature fluctuation characteristics of the furnace temperature are also positively correlated. There is a negative correlation. (This refers to the degree of complete combustion.) The higher the value, the more complete and stable the combustion.

[0072] Furthermore, based on the time-series data of carbon monoxide concentration, the growth rate index of carbon monoxide concentration in the third target period was determined. Specifically, curve fitting was performed on the time-series data of carbon monoxide concentration, the mean slope of the fitted curve in the third target period was calculated, and the obtained mean slope was positively oriented. The resulting value was recorded as the growth rate index. For example, positive transformation is achieved through... Mapping the mean slope to the interval between 0.01 and 1, The mean slope This indicates taking the maximum value. hour, At this point, the carbon monoxide concentration shows no increase (extremely weak increase trend) or decreases, and incomplete combustion shows no increasing trend. Therefore, there is no need to trigger air supply adjustments due to this factor. This treatment aims to focus the indicator on the risk of increased incomplete combustion; a decreasing concentration trend is considered a low-risk state and represented by a fixed low value. hour, This indicates an increasing trend of incomplete combustion, which needs to be taken into account when adjusting the air supply requirements.

[0073] Furthermore, based on the combustion completeness and growth rate indices, the combustion deterioration inhibition factor is determined, and the calculation formula for the combustion deterioration inhibition factor is as follows: In the formula, As a combustion deterioration inhibitor, For complete combustion reaction degree ( (The product of two positive values, always greater than 0). As a growth rate indicator, This is a normalization function used to map input values ​​to a range of 0 to 1. For example, a maximum / minimum value normalization method can be used, based on a preset upper and lower limit of the range. When the value exceeds the preset upper limit of the range, the output is 1. The output is 0 when the value is less than the preset lower limit of the range.

[0074] Among them, the more incomplete the combustion ( The lower the value, the faster the incomplete combustion products are generated ( When the value is high, it means that the combustion state in the furnace is deteriorating rapidly. At this time, it is necessary to prioritize the suppression of new waste input (i.e., reduce the feeding rate) to create conditions for the furnace to restore stable combustion. The value of the combustion deterioration inhibition factor characterizes the strength of this inhibition requirement.

[0075] It should be noted that when combustion deterioration inhibitors... When the temperature rises, it indicates that combustion conditions are deteriorating. At this point, the most direct and rapid intervention is to immediately reduce the input of new waste to lower the combustion load and prevent further aggravation of incomplete combustion. This provides the existing air supply control system in the incinerator (which typically operates on an independent closed-loop basis based on parameters such as oxygen levels and negative pressure) with adjustment time, allowing it to more effectively adjust the air volume and air volume distribution ratio to improve combustion.

[0076] Finally, the waste feeding demand index was determined based on the strong feeding tendency coefficient and the combustion deterioration inhibition factor.

[0077] In some embodiments, the formula for calculating the waste feeding demand index is as follows: In the formula, For waste feeding demand indicators, As a combustion deterioration inhibitor, The strong feeding tendency coefficient, This is a normalization function used to map input values ​​to a range of 0 to 1. For example, a maximum / minimum value normalization method can be used, based on a preset upper and lower limit of the range. When the value exceeds the preset upper limit of the range, the output is 1. The output is 0 when the value is less than the preset lower limit of the range. Furthermore, in... When, it is not included in the above calculation, let .

[0078] Among them, combustion deterioration inhibitors It acted as a suppressive factor, even though the tendency to increase feed was very strong. The value is large, but if the furnace is in an emergency where the air supply needs to be adjusted first to save the combustion state ( If the value is large, then the final feed demand index will be given. It should be suppressed; conversely, when the combustion in the furnace is good, there is no need for emergency air adjustment. When the value is small and the feeding tendency is strong, The value will approach 1, indicating that a higher feeding rate can be performed.

[0079] Understandably, in this embodiment of the invention, the matching relationship between feeding and conveying is first quantified by combining the average feeding rate and average grate speed during the third target time period. Then, the combustion sufficiency and air supply adjustment needs are accurately determined based on temperature time series data and carbon monoxide concentration time series data. Finally, the waste feeding demand index is determined through the synergistic analysis of the strong feeding tendency coefficient and the combustion deterioration inhibition factor. This breaks through the limitations of single-dimensional data judgment, fully considering the urgency of the macro-level demand for waste input, and accurately matching the micro-level operating conditions such as the matching degree of feeding and conveying and the combustion sufficiency in the incinerator. This effectively avoids the bias in the feeding demand judgment caused by relying solely on macro-level demand or single operating condition parameters. The determination of the waste feeding demand index not only meets the system's power generation needs but also adapts to the real-time combustion conditions of the incinerator. This provides a scientific and practical core basis for the subsequent precise control of the target feeding rate, thereby promoting the dynamic balance between full combustion and efficient feeding in the incinerator. This significantly improves the energy conversion efficiency, combustion stability, and overall energy efficiency of the energy-saving prefabricated waste-to-energy incineration plant.

[0080] S204. Adjust the rated feeding speed according to the waste feeding demand index to obtain the target feeding speed, so that the waste incineration power generation system can operate based on the target feeding speed.

[0081] As one possible implementation, the preset rated feeding speed is first obtained, denoted as... This rated feeding rate is a baseline value set based on the incinerator's design capacity, waste processing capacity, and long-term operating experience; for example, it could be 15 tons / hour. This value represents the system's standard processing capacity under normal, stable operating conditions and serves as a reference point for speed adjustment.

[0082] Furthermore, the rated feeding speed is adjusted based on the waste feeding demand index to obtain the target feeding speed.

[0083] In some embodiments, the formula for determining the target feed rate is as follows: In the formula, For the target feeding speed, For the rated feeding speed, For waste feeding demand indicators, This is a reference offset constant with a value between 0 and 1, and can be empirically set to 0.5. Used for adjustment and The range of values ​​for the factors being multiplied. The value range of is [0,1]. The range of values ​​for is [ , In this way, it can be achieved through Achieve The increase or decrease, for example, in At that time, the feeding equipment is controlled to operate at the rated feeding speed, adapting to normal ideal working conditions; At that time, the feeding equipment is controlled to operate at a speed higher than the rated feeding speed, adapting to conditions such as complete combustion, high power grid demand, and sufficient grate conveying capacity; At this time, the feeding equipment is controlled to operate at a speed lower than the rated feeding speed to adapt to working conditions such as incomplete combustion and low power grid demand.

[0084] Finally, the calculated target feed rate The control network of the waste-to-energy incineration system sends real-time data to the electrical control unit (such as a frequency converter or servo drive) of the feeding equipment (e.g., a plate feeder or screw feeder). The electrical control unit receives... Upon receiving the command, the output frequency or torque is immediately adjusted to drive the feeder motor at a new speed, thereby precisely controlling the rate at which waste enters the incinerator. This achieves adaptive matching between the feeding speed and real-time operating requirements, ultimately reaching the design goal of optimizing incineration efficiency and energy-saving performance.

[0085] It should be noted that the target feeding speed command generated above can be issued through a standardized industrial communication protocol. In prefabricated buildings, this control command can directly reach the intelligent drive controller integrated in the prefabricated feeding module, achieving tight coupling between control logic and execution hardware. This integrated hardware and software design, encompassing perception, decision-making, and execution, is a typical manifestation of prefabricated buildings' pursuit of construction efficiency and operational reliability, ensuring that the optimization algorithm can be implemented stably and efficiently.

[0086] In some embodiments, the incinerator in a waste-to-energy system operates at a target feeding rate. Receive waste awaiting incineration. If The feeding equipment delivers material at the increased rate, while the grate speed is synchronously adapted to ensure uniform distribution of waste and prevent accumulation. High-temperature incineration converts the waste into high-temperature flue gas, which exchanges heat fully with water in the boiler, heating the water to generate superheated steam. This superheated steam is transported via steam pipelines to a turbine, driving the turbine's high-pressure cylinder rotor to rotate at high speed. The rotor's mechanical energy is transferred to a generator, which converts the mechanical energy into electrical energy. The generated electricity is then stepped up by a transformer to the appropriate voltage level for the power grid and connected to the public grid, completing the energy conversion process of "waste-thermal energy-mechanical energy-electrical energy". At the same time, due to the increase in the amount of waste fed in and the complete combustion, the output and parameters of superheated steam increase simultaneously, and the output power of the generator increases accordingly to adapt to the high demand conditions of the power grid.

[0087] The exhaust steam from the turbine enters the condenser, where it is condensed to produce condensate. The condensate is then pumped out by a multi-stage centrifugal pump (condensate pump) and flows sequentially through the steam seal heater and low-pressure heater. In these heaters, heat recovery and impurity purification are completed, removing trace impurities and non-condensable gases to ensure the water quality meets boiler operating requirements. The treated, qualified condensate is returned to the incinerator's boiler system to participate in a new round of steam-water circulation. At the same time, the amount of condensate generated increases simultaneously. The recovery system adjusts the pump speed and heater operating parameters to ensure that the recovery efficiency matches the steam output, thereby achieving efficient recovery and utilization of water resources and heat energy.

[0088] Pressure monitoring devices are installed at key locations in the steam turbine, boiler body, and steam transmission pipelines to collect real-time operating pressure data. A preset pressure safety threshold (which can be set to 95% of the design pressure, such as 4 MPa) is defined as the maximum allowable pressure determined during the system design phase based on the equipment's pressure resistance limits and operational safety standards. The system has a reasonable pressure redundancy. When the pressure data collected by the pressure monitoring device exceeds the preset pressure safety threshold, the safety valve at the corresponding location will automatically open to release some steam to reduce the system pressure. Once the pressure drops to within the safety threshold range, the safety valve will automatically close to prevent damage to the equipment due to overpressure and ensure the safe operation of the system under different feeding speed conditions.

[0089] In some embodiments, to ensure the continuous adaptability of the target feeding speed, status monitoring and feedback calibration are carried out simultaneously during system operation.

[0090] The status monitoring includes: after controlling the waste-to-energy incineration system to operate based on the target feeding rate, real-time monitoring of the superheated steam parameters generated by the boiler through sensors, including steam pressure, steam temperature, and steam flow rate. These parameters directly reflect the incineration efficiency and energy conversion effect. During this process, it is crucial to monitor whether the steam parameters are within the safe operating range of the equipment to avoid abnormal steam parameters caused by an increase in the feed rate. At the same time, the operating status data of the generator set is collected, including rotor speed and output power. Based on the collaborative analysis results of the superheated steam parameters and the generator set status data, the opening of the turbine's intake valve is dynamically adjusted to ensure that the turbine's intake volume is precisely matched with the steam parameters and power generation demand, thereby ensuring stable generator output power and avoiding power fluctuations caused by an increase or decrease in the feed rate.

[0091] Feedback calibration includes: setting a fourth target time period, which is based on the target feed rate of the waste-to-energy incineration system. The start time is the initial time, and the duration is the fourth preset duration (in this embodiment, the fourth preset duration can be set to 5 minutes, 7 minutes, etc., which can fully reflect the combustion stability effect under the target feeding rate); within the fourth target time period, after-effect monitoring data, including furnace temperature time series data and carbon monoxide concentration time series data, are collected through the incinerator operating condition monitoring equipment. During this period, the focus is on monitoring for signs of incomplete combustion, such as abnormal increases in furnace temperature or a rebound in carbon monoxide concentration. Based on subsequent monitoring data, the actual combustion completeness and carbon monoxide concentration growth rate during this period are calculated and compared with preset target combustion state parameters (target combustion completeness and target carbon monoxide concentration growth rate) to determine the combustion quality deviation between the actual and target combustion states. This combustion quality deviation is used as a feedback signal and transmitted to the incineration input urgency determination unit and the waste feeding demand index determination unit for dynamic calibration of the calculation process of incineration input urgency and waste feeding demand index. However, if incomplete combustion occurs, the waste feeding requirement will be lowered. Quantization weights; if However, if combustion is complete and grid demand remains high, the adjustment will be increased. The quantitative weights are used to calculate the urgency of the incineration input and the waste feeding demand index after calibration. This forms a closed-loop optimization mechanism of "feeding control (can be increased or decreased) - operation monitoring - deviation feedback - parameter calibration - re-control", which ensures that the target feeding speed is always accurately matched with the actual operating needs of the system and continuously improves the system's energy conversion efficiency, combustion stability and energy saving.

[0092] It is understandable that the energy-saving prefabricated waste-to-energy incineration plant design optimization method provided in this embodiment of the invention is deeply aligned with the core characteristics of energy-saving prefabricated plants: "integrated design, rapid response, and efficient collaboration." This method first quantifies the macroscopic urgency of incineration input based on the waste thermal energy supply attributes and the power grid demand status. Then, it integrates the real-time operating status of the incinerator to determine precise waste feeding demand indicators. Finally, based on these indicators, the rated feeding speed is dynamically adjusted bidirectionally to form a target feeding speed highly adapted to actual operating conditions and drive system operation. By constructing a dynamic decision-making model based on multi-source real-time data, rapid and precise adaptive adjustment of the feeding speed is achieved. This not only meets the needs of prefabricated plants for rapid commissioning and flexible adjustment of the process system but also reflects their modular integration and overall energy efficiency design philosophy. It breaks through the limitations of traditional preset fixed feeding speed and avoids the deviation in demand judgment caused by single data dimension analysis. It makes the feeding control not only fit the dynamic changes of the heat energy supply capacity of the waste itself and the demand of the power grid, but also accurately match the micro-operational status of feeding and conveying and combustion completeness in the incinerator. It effectively solves the core problem of mismatch between feeding speed and actual operation demand in traditional methods. It systematically improves the stability of the incineration process and energy conversion efficiency, which is the key process control link to achieve the energy-saving design target of energy-saving prefabricated waste-to-energy incineration plant.

[0093] It should be noted that the order of the above embodiments of the present invention is merely for descriptive purposes and does not represent the superiority or inferiority of the embodiments. The processes depicted in the accompanying drawings do not necessarily require a specific or sequential order to achieve the desired result. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0094] The various embodiments in this specification are described in a progressive manner. The same or similar parts between the various embodiments can be referred to each other. Each embodiment focuses on describing the differences from other embodiments.

Claims

1. A method for optimizing the design of an energy-saving prefabricated waste-to-energy incineration plant, characterized in that, The method includes: Collect multi-source monitoring data during the operation of the waste incineration power generation system. The multi-source monitoring data includes waste characteristic data, power grid load data, and incinerator operating condition data. The waste characteristic data is used to characterize the heat energy supply-related attributes of the waste, the power grid load data is used to characterize the power demand status of the power grid, and the incinerator operating condition data is used to characterize the operating status of the incinerator. The incineration input urgency is used to characterize the urgency of the waste-to-energy incineration system's demand for waste input; Based on the urgency of the incineration input and the incinerator operating data, the waste feeding demand index is determined; The rated feeding speed is adjusted according to the waste feeding demand index to obtain the target feeding speed, so that the waste incineration power generation system can operate based on the target feeding speed. The determination of the urgency of incineration input based on the waste characteristic data and the power grid load data includes: Based on the waste characteristic data, the effective calorific value factor of the waste is determined, which is used to characterize the actual ability of waste to be converted into usable heat energy; Based on the grid load data, the incineration power generation demand index is determined. The incineration power generation demand index is used to characterize the grid's demand intensity for the output power of the waste incineration power generation system in the short term. The urgency of incineration input is determined based on the effective calorific value factor of the waste and the demand for incineration power generation. Specifically, based on the urgency of incineration input and the incinerator operating data, the waste feeding demand indicators are determined, including: The average feeding rate and average grate speed within the third target time period are obtained from the incinerator operating data. The third target time period is the time period ending at the current time and includes a third preset time period. Based on the average feed rate, the average grate rate, and the urgency of combustion input, a strong feeding trend is determined. The strong feeding tendency coefficient is used to characterize the appropriateness of increasing the feed rate of the incinerator; Based on the time-series data of temperature and carbon monoxide concentration in the incinerator operating data, a combustion deterioration inhibition factor is determined. The combustion deterioration inhibition factor is used to characterize the urgency of needing to suppress the feed rate due to the deterioration of the combustion state. The waste feeding demand index is determined based on the strong feeding tendency coefficient and the combustion deterioration inhibition factor. Among them, the combustion degradation inhibition factor is determined based on the time-series data of temperature and carbon monoxide concentration in the incinerator operating data, including: Based on the temperature time series data, the combustion completeness response degree is determined, which is used to characterize the degree of complete combustion of waste in the furnace; Based on the carbon monoxide concentration time series data, the growth rate index of carbon monoxide concentration in the third target period is determined, and the growth rate index is used to characterize the instantaneous change trend of carbon monoxide concentration. The combustion deterioration inhibition factor is determined based on the combustion completeness response and the growth rate index; The determination of combustion completeness based on the temperature time series data includes: The average furnace temperature during the third target time period and the historical maximum average furnace temperature are obtained from the temperature time series data. The historical maximum average furnace temperature is the maximum value among the average furnace temperatures corresponding to the continuous time periods of the waste incineration power generation system during its historical operation, which are the third preset time periods. The standard deviation of the furnace temperature during the third target time period is defined as the temperature fluctuation characteristic. The degree of complete combustion response is determined based on the average furnace temperature, the historical maximum average furnace temperature, and the temperature fluctuation characteristics.

2. The energy-saving prefabricated waste-to-energy incineration plant design optimization method according to claim 1, characterized in that, Based on the aforementioned waste characteristic data, the effective calorific value factor of the waste is determined, including: The average calorific value of the waste during the first target time period and the average historical maximum calorific value are obtained from the waste characteristic data. The first target time period is the time period ending at the current time and includes a first preset time period. The average historical maximum calorific value is the maximum value among the average calorific values ​​corresponding to the continuous time periods with the first preset time period during the historical operation of the waste incineration power generation system. The average moisture content of the waste during the first target time period and the historical maximum average moisture content are obtained from the waste characteristic data. The historical maximum average moisture content is the maximum value of the average moisture content among the consecutive time periods with the first preset duration during the historical operation of the waste incineration power generation system. The effective calorific value factor of the waste is determined based on the average calorific value, the average historical maximum calorific value, the average moisture content, and the average historical maximum moisture content.

3. The energy-saving prefabricated waste-to-energy incineration plant design optimization method according to claim 1, characterized in that, Based on the aforementioned grid load data, the demand for incineration power generation is determined, including: The average grid load during the second target time period and the historical average grid load are obtained from the grid load data. The second target time period is the period ending at the current time and includes a second preset duration. The historical average grid load is the average grid load of the waste incineration power generation system during its historical continuous operation. The power grid load data within the second target time period is subjected to linear fitting processing, and the load change trend is determined based on the slope of the obtained fitted line. The demand for incineration power generation is determined based on the average grid load, the historical average grid load, and the load change trend.

4. The energy-saving prefabricated waste-to-energy incineration plant design optimization method according to claim 1, characterized in that, Collect multi-source monitoring data during the operation of the waste-to-energy incineration system, including: The waste characteristic data during the operation of the waste incineration power generation system are acquired by sensors. The waste characteristic data includes the real-time calorific value data of the waste produced by burning waste in the incinerator, and the moisture content data of the waste at the feed inlet. The power grid load data during the operation of the waste-to-energy incineration system is obtained through power grid monitoring equipment; The incinerator operating condition data during the operation of the waste-to-energy incineration system are obtained through incinerator operating condition monitoring equipment. The incinerator operating condition data includes feeding rate, grate speed, furnace temperature and carbon monoxide concentration.

5. The energy-saving prefabricated waste-to-energy incineration plant design optimization method according to claim 1, characterized in that, The method further includes: After controlling the waste incineration power generation system to operate based on the target feeding rate, monitor the parameters of the superheated steam generated by incineration; Based on the superheated steam parameters and the generator set status, the turbine's intake valve opening is dynamically adjusted to stabilize the power output.

6. The energy-saving prefabricated waste-to-energy incineration plant design optimization method according to claim 1, characterized in that, The method further includes: After controlling the waste incineration power generation system to operate based on the target feeding rate, after-effect monitoring data reflecting the incineration effect is collected. The after-effect monitoring data includes the furnace temperature and carbon monoxide concentration during the fourth target time period. The start time of the fourth target time period is the time when the waste incineration power generation system operates based on the target feeding rate, and the duration is the fourth preset time period. Based on the after-effect monitoring data, determine the combustion quality deviation between the actual combustion state and the target combustion state during the fourth target time period; The combustion quality deviation is used as a feedback signal to calibrate the process of determining the urgency of incineration input and / or the waste feeding demand index.

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