Garbage incinerator combustion management system

Abstract

The invention relates to the technical field of environmental protection, in particular to a garbage incinerator combustion management system which comprises a data acquisition module, a data preprocessing module, a data analysis module, a decision control module and a combustion adjustment module. Wherein the data acquisition module is used for acquiring combustion data in the combustion process of the garbage incinerator; the data preprocessing module is used for preprocessing the collected combustion data; the data analysis module is used for analyzing the preprocessed combustion data in real time and judging the efficiency and the pollutant emission level of the current combustion process; the decision control module is used for generating a combustion adjustment instruction; and the combustion adjusting module is used for adjusting the air flow, the temperature and the fuel input amount in the combustion process. Through real-time data analysis and automatic adjustment and optimization of combustion parameters, efficient control over the combustion process of the garbage incinerator is achieved, the combustion efficiency is remarkably improved, pollutant emission is reduced, and the environmental protection property and economical efficiency are improved.

Description

Technical Field

[0001] The invention relates to the technical field of environmental protection, and in particular to a combustion management system for a garbage incinerator. Background Art

[0002] With the acceleration of urbanization, garbage disposal has gradually become the focus of social attention. As an effective garbage disposal method, garbage incineration has been widely used all over the world. Garbage incineration can not only reduce the volume of garbage and alleviate landfill pressure, but also generate heat energy to supply urban thermal systems. However, in the process of garbage incineration, combustion efficiency and pollution emissions have always been key challenges in the fields of technology and environmental protection. Parameters such as temperature, pressure, flue gas composition and oxygen content in the incinerator have an important influence on the efficiency and emission level of the combustion process. If these parameters cannot be monitored and accurately adjusted in real time, it may lead to low combustion efficiency and excessive pollutant emissions, affecting environmental protection and energy utilization.

[0003] Existing waste incinerator control systems usually rely on manual or preset control strategies, which make it difficult to achieve dynamic optimization and regulation of the combustion process; traditional control systems fail to effectively combine real-time monitoring data with optimization rules for systematic analysis, resulting in inaccurate regulation during the combustion process, low efficiency, and uncontrollable pollutant emissions; in addition, the existing technology lacks a system for comprehensive analysis and real-time adjustment, cannot automatically identify and adjust key parameters during the combustion process, and cannot respond to complex and changing combustion conditions in a timely manner; therefore, there is an urgent need for a waste incinerator combustion management system to solve the above problems. Summary of the invention

[0004] Based on the above purpose, the present invention provides a garbage incinerator combustion management system.

[0005] A waste incinerator combustion management system includes a data acquisition module, a data preprocessing module, a data analysis module, a decision control module and a combustion adjustment module; wherein: Data acquisition module: used to collect combustion data of temperature, pressure, flue gas composition and oxygen content during the combustion process of the waste incinerator, and transmit the collected data to the data preprocessing module; Data preprocessing module: connected with the data acquisition module, used to preprocess the collected combustion data, including data cleaning, abnormal data filtering and formatting; Data analysis module: connected with the data preprocessing module, used to analyze the preprocessed combustion data in real time, generate combustion state evaluation results, and judge the efficiency and pollution emission level of the current combustion process by comparing with the preset optimal combustion state model; Decision control module: connected with the data analysis module, generates combustion adjustment instructions based on the combustion state evaluation results provided by the data analysis module and the preset optimization rules; Combustion adjustment module: connected to the decision control module, used to adjust the air flow, temperature and fuel input during the combustion process according to the combustion adjustment instructions to ensure that the combustion process meets the set efficiency and environmental protection standards.

[0006] Optionally, the data acquisition module includes a temperature acquisition unit, a pressure acquisition unit, a flue gas composition acquisition unit and an oxygen content acquisition unit; wherein: Temperature collection unit: used to be installed on the inner wall of the waste incinerator, and collects temperature data in the combustion process in real time through thermocouples or infrared sensors; Pressure acquisition unit: used to be installed in the combustion chamber or furnace outlet of the waste incinerator, using the pressure sensor to monitor the pressure changes in the furnace and the flue gas exhaust pipe in real time to obtain the pressure data during the combustion process; Flue gas composition collection unit: used to be installed at the flue gas outlet or emission pipe of the waste incinerator, and detects the concentration data of flue gas components in real time through gas sensors, including carbon dioxide, carbon monoxide and nitrogen oxides; Oxygen content collection unit: used to be installed in the combustion chamber or furnace entrance of the waste incinerator, and the oxygen concentration during the combustion process is measured in real time through the oxygen sensor.

[0007] Optionally, the data preprocessing module includes a data cleaning unit, an abnormal data filtering unit and a formatting processing unit; wherein: Data cleaning unit: used to identify and remove noise and invalid data from the collected combustion data, use the median filter algorithm to smooth the continuously monitored temperature and pressure data to eliminate sudden noise in a short period of time, and use the linear interpolation method to fill in the data missing points caused by sensor failure or communication interruption; Abnormal data filtering unit: used to detect and remove abnormal values ​​in combustion data. It uses a statistically based standard deviation determination method to monitor each parameter in real time. When the value of a parameter exceeds the preset three times standard deviation range, it is automatically marked as abnormal data and removed. Formatting processing unit: used to convert the cleaned and filtered combustion data into a unified analysis format, normalize the parameters of different dimensions using the Z-score standardization method, and use the JSON format for data encoding conversion to ensure consistency of the data structure.

[0008] Optionally, the data analysis module includes a real-time analysis unit, a state evaluation unit, a model comparison unit and a report generation unit; wherein: Real-time analysis unit: used to receive the pre-processed combustion data from the data pre-processing module, and use the time series analysis algorithm to analyze the parameters of temperature, pressure, flue gas composition and oxygen content during the combustion process to identify the dynamic change trend during the combustion process; State evaluation unit: used to score the efficiency and pollutant emission level of the current combustion process based on the data generated by the real-time analysis unit according to the preset combustion state evaluation standards; Model comparison unit: used to compare the evaluation result of the state evaluation unit with the preset optimal combustion state model to identify the deviation between the current combustion state and the optimal state; Report generation unit: used to generate a combustion status evaluation report based on the analysis and comparison results, and transmit the evaluation report to the decision control module.

[0009] Optionally, the real-time analysis unit includes: Smoothing: Use the moving average algorithm to smooth the combustion data to reduce the impact of short-term fluctuations; Trend analysis: Use exponential smoothing method to process smoothed data and predict combustion parameter values ​​at future times; Periodic change analysis: Use the autoregressive moving average model to perform periodic analysis on combustion data to determine whether the data has periodic fluctuations; Anomaly detection: Anomaly detection is performed on combustion data by setting a threshold. An outlier detection method based on mean and standard deviation is adopted. If the data at a certain moment exceeds the mean ± 3 times the standard deviation, the data at that moment is considered to be an outlier.

[0010] Optionally, the state assessment unit includes: Efficiency evaluation: Based on the combustion temperature, pressure and oxygen content data provided by the real-time analysis unit, the combustion efficiency is calculated using the thermal efficiency formula; the calculation formula is: ,in, For combustion efficiency, is the actual heat output of the incinerator. The heat energy invested in the fuel; Pollutant emission level assessment: Based on the flue gas composition data, the pollutant emission level is assessed using the following emission scoring formula: ,in, Score the carbon monoxide emission level, is the actual measured CO concentration, is the maximum permissible carbon monoxide concentration for this type of waste incinerator; Comprehensive evaluation: Based on the results of combustion efficiency and pollutant emission scores, the weighted average method is used to generate the final combustion status evaluation score. The formula is: ,in, For the final evaluation score, is the weight coefficient of each parameter.

[0011] Optionally, the model comparison unit includes: Deviation calculation: receiving the combustion state evaluation score generated by the state evaluation unit and the preset optimal combustion state model score , use the deviation calculation formula to calculate the deviation between the current combustion state and the optimal state ; Deviation analysis: Based on the calculated deviation , the normalized deviation analysis method is applied to standardize the deviation value to the [0,1] interval, the formula is: ,in, and are the preset minimum and maximum values ​​of the combustion state evaluation score respectively; Threshold determination unit: used to normalize the deviation With the preset threshold Compare and determine whether there is a significant deviation. The judgment formula is: , in, is the preset deviation threshold, set to 0.2.

[0012] Optionally, the decision control module includes an optimization rule database unit, a rule matching unit and an instruction generation unit; wherein: Optimization rule database unit: used to store preset optimization rules, which are formulated based on combustion efficiency and pollutant emission standards, covering adjustment strategies and parameter ranges under different combustion conditions, including: Rule 1: When combustion efficiency When it is lower than 80%, increase the air flow by 5%; Rule 2, when carbon monoxide emissions are scored When the maximum allowable value exceeds 100%, reduce the fuel input by 10%; Rule 3, when NOx emissions are scored When the maximum allowable value is exceeded by 90%, the combustion temperature is adjusted to be reduced by 5%; Rule 4: When CO2 emissions are scored Exceeding the maximum allowable value by 95%, reduce fuel input by 12% and increase air flow by 8%; Rule matching unit: used to receive the combustion state evaluation result from the data analysis module and match it with the preset rules in the optimization rule database unit to determine the applicable optimization rule; Instruction generation unit: used to directly generate combustion adjustment instructions according to the matched optimization rules and transmit them to the combustion control module.

[0013] Optionally, the instruction generation unit includes: Rule identification: used to receive the matching results from the rule matching unit and identify the specific optimization rule number that is matched; Instruction mapping: used to extract the corresponding combustion adjustment parameters from the preset instruction mapping table according to the identified optimization rule number. The instruction mapping specifically includes: Rule 1 increases the air flow by 5%, Rule 2 reduces the fuel input by 10%, Rule 3 adjusts the combustion temperature to decrease by 5%, and Rule 4 reduces the fuel input by 12% and increases the air flow by 8%; Instruction generation: It is used to generate specific combustion adjustment instructions according to the adjustment parameters extracted from the mapping table. The adjustment amount is converted into a control signal by using the method of conditional judgment and parameter assignment. The expression is: ; The specific adjustment operation performs corresponding parameter adjustment according to the matched rule number; Command output: Use Modbus protocol to send control signals through RS485 interface, and transmit the generated combustion adjustment command to the combustion regulation module.

[0014] Optionally, the combustion regulation module includes an air flow regulation unit, a temperature control unit and a fuel injection control unit; wherein: Air flow regulating unit: used to receive the air flow adjustment instruction from the instruction generating unit, and control the air flow in the combustion chamber by adjusting the speed of the fan or controlling the opening of the air valve; Temperature control unit: used to receive the temperature adjustment instruction from the instruction generation unit, and maintain the temperature in the combustion chamber within a preset range by adjusting the heating device or cooling system of the combustion chamber; Fuel injection control unit: used to receive the fuel injection adjustment instruction from the instruction generation unit, and control the fuel supply by adjusting the flow of the fuel delivery pump or controlling the opening of the fuel valve.

[0015] Beneficial effects of the present invention: The present invention can effectively improve the combustion efficiency of the garbage incineration process and reduce the emission of harmful gases by integrating data acquisition, preprocessing, analysis and real-time adjustment functions; in this solution, the data acquisition module can monitor key parameters such as temperature, pressure, flue gas composition and oxygen content in the combustion process in real time to ensure comprehensive and accurate monitoring of the combustion process; through the processing of the data preprocessing module, noise and abnormal data can be removed to ensure the accuracy of subsequent analysis; at the same time, the data analysis module analyzes these data in real time, evaluates the current combustion state, and compares it with the preset optimal combustion state model, quickly identifies problems in the combustion process, and makes adjustment decisions in time.

[0016] The present invention realizes automatic optimization of the combustion process through the decision-making control module and the combustion adjustment module; based on the evaluation results and preset optimization rules, the system can accurately generate combustion adjustment instructions, and directly adjust key control parameters such as air flow, temperature and fuel input, to ensure that the combustion process is always in the best state of high efficiency and environmental protection; compared with the prior art, the present solution can dynamically adjust according to changes in the combustion process through real-time data-driven intelligent control, thereby significantly improving combustion efficiency, reducing pollutant emissions, and improving the environmental protection and economy of the waste incineration process. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the technical solutions in the present invention or the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings in the following description are only for the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0018] Figure 1 A schematic diagram of a waste incinerator combustion management system according to an embodiment of the present invention; Figure 2 Schematic diagram of a data analysis module according to an embodiment of the present invention. DETAILED DESCRIPTION

[0019] The present invention is described in detail below in conjunction with the accompanying drawings and specific embodiments. At the same time, it is explained here that in order to make the embodiments more detailed, the following embodiments are the best and preferred embodiments, and those skilled in the art may also adopt other alternatives to implement some known technologies; and the accompanying drawings are only for more specific description of the embodiments, and are not intended to specifically limit the present invention.

[0020] It should be noted that the references to "one embodiment", "embodiment", "exemplary embodiments", "some embodiments" and the like in the specification indicate that the embodiments described may include specific features, structures or characteristics, but not every embodiment may include the specific features, structures or characteristics. In addition, when a specific feature, structure or characteristic is described in conjunction with an embodiment, it should be within the knowledge of a person skilled in the art to implement such feature, structure or characteristic in conjunction with other embodiments (whether or not explicitly described).

[0021] In general, a term can be understood, at least in part, from its use in context. For example, depending, at least in part, on the context, the term "one or more" as used herein can be used to describe any feature, structure, or characteristic in the singular sense, or can be used to describe a combination of features, structures, or characteristics in the plural sense. Additionally, the term "based on" can be understood as not necessarily intended to convey an exclusive set of factors, but can instead, depending, at least in part, on the context, allow for the presence of other factors that are not necessarily explicitly described.

[0022] like Figure 1-Figure 2 As shown, a waste incinerator combustion management system includes a data acquisition module, a data preprocessing module, a data analysis module, a decision control module and a combustion adjustment module; wherein: Data acquisition module: used to collect combustion data of temperature, pressure, flue gas composition and oxygen content during the combustion process of the waste incinerator, and transmit the collected data to the data preprocessing module; Data preprocessing module: connected with the data acquisition module, used to preprocess the collected combustion data, including data cleaning, abnormal data filtering and formatting, to ensure the integrity, accuracy and consistency of the data; Data analysis module: connected with the data preprocessing module, used to analyze the preprocessed combustion data in real time, generate combustion state evaluation results, and judge the efficiency and pollution emission level of the current combustion process by comparing with the preset optimal combustion state model; Decision control module: connected with the data analysis module, generates combustion adjustment instructions based on the combustion state evaluation results provided by the data analysis module and the preset optimization rules; Combustion adjustment module: connected to the decision control module, used to adjust the air flow, temperature and fuel input during the combustion process according to the combustion adjustment instructions to ensure that the combustion process meets the set efficiency and environmental protection standards.

[0023] The data acquisition module includes a temperature acquisition unit, a pressure acquisition unit, a flue gas composition acquisition unit and an oxygen content acquisition unit; wherein: Temperature collection unit: used to be installed on the inner wall of the waste incinerator, and collects temperature data in the combustion process in real time through thermocouples or infrared sensors to ensure that the temperature changes at different positions in the furnace can be covered; Pressure acquisition unit: used to be installed in the combustion chamber or furnace outlet of the waste incinerator, using the pressure sensor to monitor the pressure changes in the furnace and the flue gas exhaust pipe in real time to obtain the pressure data during the combustion process; Smoke composition collection unit: used to be installed at the smoke exhaust port or exhaust pipe of the garbage incinerator, and the gas sensor is used to detect the smoke component concentration data in real time, including carbon dioxide , carbon monoxide (CO) and nitrogen oxides (NOx), and transmit the data to the data pre-processing module; Oxygen content acquisition unit: used to be installed in the combustion chamber or furnace entrance of the waste incinerator, it uses the oxygen sensor to measure the oxygen concentration in the combustion process in real time, and transmits the data to the data preprocessing module; through the real-time and accurate acquisition of the temperature, pressure, flue gas composition and oxygen content in the combustion process of the waste incinerator, it can comprehensively monitor the key parameters of the combustion process and ensure the accuracy and reliability of the data; these data provide a scientific basis for subsequent data analysis and combustion process adjustment.

[0024] The data preprocessing module includes a data cleaning unit, an abnormal data filtering unit and a formatting processing unit; wherein: Data cleaning unit: used to identify and remove noise and invalid data from the collected combustion data, use the median filter algorithm to smooth the continuously monitored temperature and pressure data to eliminate sudden noise in a short period of time, and use the linear interpolation method to fill in the data missing points caused by sensor failure or communication interruption, so as to ensure the continuity and accuracy of the data; Abnormal data filtering unit: used to detect and remove abnormal values ​​in combustion data. It uses a statistically based standard deviation determination method to monitor each parameter in real time. When the value of a parameter exceeds the preset three times standard deviation range, it is automatically marked as abnormal data and removed to prevent abnormal values ​​from misleading subsequent analysis results. Formatting processing unit: used to convert the cleaned and filtered combustion data into a unified analysis format, apply the Z-score standardization method to normalize parameters of different dimensions, and use JSON format for data encoding conversion to ensure the consistency and compatibility of the data structure, which is convenient for efficient processing and parsing of the data analysis module; through systematic preprocessing of the collected combustion data, including data cleaning, abnormal data filtering and formatting, it can effectively improve data quality, eliminate the interference of noise and outliers, and ensure the accuracy and reliability of subsequent data analysis; this preprocessing process provides a high-quality data foundation for the accurate evaluation of the combustion state and the generation of combustion adjustment instructions.

[0025] The data analysis module includes a real-time analysis unit, a state assessment unit, a model comparison unit, and a report generation unit; wherein: Real-time analysis unit: used to receive the pre-processed combustion data from the data pre-processing module, and use the time series analysis algorithm to analyze the parameters of temperature, pressure, flue gas composition and oxygen content during the combustion process to identify the dynamic change trend during the combustion process; State evaluation unit: used to score the efficiency and pollutant emission level of the current combustion process based on the data generated by the real-time analysis unit according to the preset combustion state evaluation standards; Model comparison unit: used to compare the evaluation result of the state evaluation unit with the preset optimal combustion state model to identify the deviation between the current combustion state and the optimal state; Report generation unit: used to generate a combustion status evaluation report based on the analysis and comparison results, and transmit the evaluation report to the decision control module as the basis for combustion adjustment instructions; the above steps can accurately judge the efficiency and pollutant emission level of the current combustion process, timely identify and adjust the combustion conditions, thereby optimizing combustion efficiency, reducing pollutant emissions, and improving the overall operating performance and environmental friendliness of the waste incinerator through systematic real-time analysis and status evaluation of the pre-processed combustion data and comparing it with the preset optimal combustion status model.

[0026] The real-time analysis unit includes: Smoothing: Use the moving average algorithm to smooth the combustion data to reduce the impact of short-term fluctuations; the calculation formula is as follows: ,in, Indicates The moving average of time, For the moment The original data, is the window size, this step helps to identify long-term trends; Trend analysis: Exponential smoothing method is used to process the smoothed data and predict the combustion parameter values ​​at future times; the calculation formula of the exponential smoothing method is: ,in, Indicates time The smoothed value of For the moment The observed value of is the smoothing factor ,Through this method, the long-term trend of the data can be effectively captured and the dynamic changes in the combustion process can be analyzed; Periodic change analysis: Use the autoregressive moving average model (ARMA) to perform periodic analysis on the combustion data to determine whether the data has periodic fluctuations. The calculation formula of the autoregressive moving average model is: ,in, For the moment The observed value of is the autoregression coefficient, is the sliding average coefficient, is the noise term, is a constant term, and are the orders of the autoregressive term and the moving average term, respectively. This step helps to capture the periodic fluctuations in the combustion process and make predictions; Anomaly detection: Anomaly detection is performed on combustion data by setting thresholds, and an outlier detection method based on mean and standard deviation is adopted. If the data at a certain moment exceeds the mean ±3 times the standard deviation, the data at that moment is considered to be an outlier. Through the above steps, the real-time analysis unit can comprehensively analyze the time series data of parameters such as temperature, pressure, flue gas composition and oxygen content, identify the dynamic change trend in the combustion process, and provide accurate data support for subsequent combustion status evaluation and optimization adjustment.

[0027] The condition assessment unit includes: Efficiency evaluation: Based on the combustion temperature, pressure and oxygen content data provided by the real-time analysis unit, the combustion efficiency is calculated using the thermal efficiency formula; the calculation formula is: ,in, For combustion efficiency, is the actual heat output of the incinerator. The heat energy invested in the fuel; Pollutant emission level assessment: Based on the flue gas composition data, the pollutant emission level is assessed using the following emission scoring formula: ,in, Score the carbon monoxide emission level, is the actual measured CO concentration, is the maximum allowable carbon monoxide concentration for this type of waste incinerator; a similar formula can be used for nitrogen oxides ,carbon dioxide Assessment of pollutants; Comprehensive evaluation: Based on the results of combustion efficiency and pollutant emission scores, the weighted average method is used to generate the final combustion status evaluation score. The formula is: ,in, For the final evaluation score, is the weight coefficient of each parameter, and the weight coefficient is adjusted according to the actual operation requirements; the above steps can effectively quantify the performance of the combustion process, provide a scientific basis, and provide reliable support for the subsequent combustion state optimization, thereby helping to improve combustion efficiency and reduce environmental pollution by accurately evaluating the efficiency and pollutant emission levels of the data provided by the real-time analysis unit.

[0028] The model comparison unit includes: Deviation calculation: receiving the combustion state evaluation score generated by the state evaluation unit and the preset optimal combustion state model score , use the deviation calculation formula to calculate the deviation between the current combustion state and the optimal state , the formula is: ,in, Indicates the comprehensive deviation between the current state and the optimal state; Deviation analysis: Based on the calculated deviation , the normalized deviation analysis method is applied to standardize the deviation value to the [0,1] interval, the formula is: ,in, and are the minimum and maximum values ​​of the preset combustion state evaluation scores, respectively. The severity of the current deviation can be quantified through this formula; Threshold determination unit: used to normalize the deviation With the preset threshold Compare and determine whether there is a significant deviation. The judgment formula is: , in, is the preset deviation threshold, which is set to 0.2. In the above steps, the evaluation results of the state evaluation unit are systematically compared and analyzed with the preset optimal combustion state model. The model comparison unit can accurately identify the deviation between the current combustion state and the optimal state. This process ensures the continuous optimization and stable operation of the combustion process, helps to improve combustion efficiency and reduce pollutant emissions.

[0029] The decision control module includes an optimization rule database unit, a rule matching unit and an instruction generation unit; wherein: Optimization rule database unit: used to store preset optimization rules, which are formulated based on combustion efficiency and pollutant emission standards, covering adjustment strategies and parameter ranges under different combustion conditions, including: Rule 1: When combustion efficiency When it is lower than 80%, increase the air flow rate by 5% to improve the completeness of combustion; Rule 2, when carbon monoxide emissions are scored When the maximum allowable value is exceeded by 100%, reduce the fuel input by 10% to reduce carbon monoxide generation; Rule 3, when NOx emissions are scored When the maximum allowable value is exceeded by 90%, the combustion temperature is adjusted to decrease by 5% to reduce the generation of nitrogen oxides; Rule 4: When CO2 emissions are scored Exceeding the maximum allowable value by 95%, reducing fuel input by 12% and increasing air flow by 8% to control both carbon dioxide and carbon monoxide emissions; Rule matching unit: used to receive the combustion state evaluation result from the data analysis module and match it with the preset rules in the optimization rule database unit to determine the applicable optimization rule; Instruction generation unit: used to directly generate combustion adjustment instructions according to the matched optimization rules, and transmit them to the combustion control module to achieve optimized control of the combustion process.

[0030] The instruction generation unit includes: Rule identification: used to receive the matching results from the rule matching unit and identify the specific optimization rule number that is matched (for example, rule 1, rule 2, etc.); Instruction mapping: used to extract the corresponding combustion adjustment parameters from the preset instruction mapping table according to the identified optimization rule number. The instruction mapping specifically includes: Rule 1 increases the air flow by 5%, Rule 2 reduces the fuel input by 10%, Rule 3 adjusts the combustion temperature to decrease by 5%, and Rule 4 reduces the fuel input by 12% and increases the air flow by 8%; Instruction generation: It is used to generate specific combustion adjustment instructions according to the adjustment parameters extracted from the mapping table. The adjustment amount is converted into a control signal by using the method of conditional judgment and parameter assignment. The expression is: ; The specific adjustment operation performs corresponding parameter adjustment according to the matched rule number; Command output: Use Modbus protocol to send control signals through RS485 interface, and transmit the generated combustion adjustment commands to the combustion control module; through the implementation of the command generation unit, the system can accurately generate corresponding combustion adjustment commands according to the matched specific optimization rules, so as to ensure the automation and precise control of the combustion process; the command generation unit can efficiently convert the optimization rules into specific control signals through the coordinated work of rule recognition, command mapping, command generation algorithm and command output, thus reducing the need for human intervention and improving the timeliness and accuracy of system response.

[0031] The combustion adjustment module includes an air flow adjustment unit, a temperature control unit and a fuel injection control unit; wherein: Air flow regulating unit: used to receive the air flow adjustment instruction from the instruction generating unit, and control the air flow in the combustion chamber by adjusting the speed of the fan or controlling the opening of the air valve; Temperature control unit: used to receive the temperature adjustment instruction from the instruction generation unit, and maintain the temperature in the combustion chamber within a preset range by adjusting the heating device or cooling system of the combustion chamber; Fuel input control unit: used to receive the fuel input adjustment instruction from the instruction generation unit, and control the fuel supply by adjusting the flow of the fuel delivery pump or controlling the opening of the fuel valve to ensure the stability of the combustion process; through the implementation of the combustion adjustment module, it can adjust the air flow, temperature and fuel input in the combustion process in real time according to the combustion adjustment instruction provided by the instruction generation unit to ensure the stability and efficiency of the combustion process. This process effectively improves the combustion efficiency, reduces pollutant emissions, and enhances the operating performance and environmental protection of the waste incinerator.

[0032] The present invention covers any substitution, modification, equivalent method and scheme made on the essence and scope of the present invention. In order to make the public have a thorough understanding of the present invention, specific details are described in detail in the following preferred embodiments of the present invention, but those skilled in the art can fully understand the present invention without the description of these details. In addition, in order to avoid unnecessary confusion about the essence of the present invention, well-known methods, processes, procedures, components and circuits are not described in detail.

[0033] The above is only a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principle of the present invention. These improvements and modifications should also be regarded as the scope of protection of the present invention.

Claims

1. A garbage incinerator combustion management system, characterized in that: It includes data acquisition module, data preprocessing module, data analysis module, decision control module and combustion adjustment module; among which: Data acquisition module: used to collect combustion data of temperature, pressure, flue gas composition and oxygen content during the combustion process of the waste incinerator, and transmit the collected data to the data preprocessing module; Data preprocessing module: connected with the data acquisition module, used to preprocess the collected combustion data, including data cleaning, abnormal data filtering and formatting; Data analysis module: connected with the data preprocessing module, used to analyze the preprocessed combustion data in real time, generate combustion state evaluation results, and judge the efficiency and pollution emission level of the current combustion process by comparing with the preset optimal combustion state model; Decision control module: connected with the data analysis module, generates combustion adjustment instructions based on the combustion state evaluation results provided by the data analysis module and the preset optimization rules; Combustion adjustment module: connected to the decision control module, used to adjust the air flow, temperature and fuel input during the combustion process according to the combustion adjustment instructions to ensure that the combustion process meets the set efficiency and environmental protection standards.

2. A waste incinerator combustion management system according to claim 1, characterized in that: The data acquisition module includes a temperature acquisition unit, a pressure acquisition unit, a flue gas composition acquisition unit and an oxygen content acquisition unit; wherein: Temperature collection unit: used to be installed on the inner wall of the waste incinerator, and collects temperature data in the combustion process in real time through thermocouples or infrared sensors; Pressure acquisition unit: used to be installed in the combustion chamber or furnace outlet of the waste incinerator, using the pressure sensor to monitor the pressure changes in the furnace and the flue gas exhaust pipe in real time to obtain the pressure data during the combustion process; Flue gas composition collection unit: used to be installed at the flue gas outlet or emission pipe of the waste incinerator, and detects the concentration data of flue gas components in real time through gas sensors, including carbon dioxide, carbon monoxide and nitrogen oxides; Oxygen content collection unit: used to be installed in the combustion chamber or furnace entrance of the waste incinerator, and the oxygen concentration during the combustion process is measured in real time through the oxygen sensor.

3. A waste incinerator combustion management system according to claim 1, characterized in that: The data preprocessing module includes a data cleaning unit, an abnormal data filtering unit and a formatting processing unit; wherein: Data cleaning unit: used to identify and remove noise and invalid data from the collected combustion data, use the median filter algorithm to smooth the continuously monitored temperature and pressure data to eliminate sudden noise in a short period of time, and use the linear interpolation method to fill in the data missing points caused by sensor failure or communication interruption; Abnormal data filtering unit: used to detect and remove abnormal values ​​in combustion data. It uses a statistically based standard deviation determination method to monitor each parameter in real time. When the value of a parameter exceeds the preset three times standard deviation range, it is automatically marked as abnormal data and removed. Formatting processing unit: used to convert the cleaned and filtered combustion data into a unified analysis format, normalize the parameters of different dimensions using the Z-score standardization method, and use the JSON format for data encoding conversion to ensure consistency of the data structure.

4. A waste incinerator combustion management system according to claim 1, characterized in that: The data analysis module includes a real-time analysis unit, a state evaluation unit, a model comparison unit and a report generation unit; wherein: Real-time analysis unit: used to receive the pre-processed combustion data from the data pre-processing module, and use the time series analysis algorithm to analyze the parameters of temperature, pressure, flue gas composition and oxygen content during the combustion process to identify the dynamic change trend during the combustion process; State evaluation unit: used to score the efficiency and pollutant emission level of the current combustion process based on the data generated by the real-time analysis unit according to the preset combustion state evaluation standards; Model comparison unit: used to compare the evaluation result of the state evaluation unit with the preset optimal combustion state model to identify the deviation between the current combustion state and the optimal state; Report generation unit: used to generate a combustion status evaluation report based on the analysis and comparison results, and transmit the evaluation report to the decision control module.

5. A waste incinerator combustion management system according to claim 4, characterized in that: The real-time analysis unit comprises: Smoothing: Use the moving average algorithm to smooth the combustion data to reduce the impact of short-term fluctuations; Trend analysis: Use exponential smoothing method to process smoothed data and predict combustion parameter values ​​at future times; Periodic change analysis: Use the autoregressive moving average model to perform periodic analysis on combustion data to determine whether the data has periodic fluctuations; Anomaly detection: Anomaly detection is performed on combustion data by setting a threshold. An outlier detection method based on mean and standard deviation is adopted. If the data at a certain moment exceeds the mean ± 3 times the standard deviation, the data at that moment is considered to be an outlier.

6. A waste incinerator combustion management system according to claim 5, characterized in that: The state assessment unit comprises: Efficiency evaluation: Based on the combustion temperature, pressure and oxygen content data provided by the real-time analysis unit, the combustion efficiency is calculated using the thermal efficiency formula; the calculation formula is: ,in, For combustion efficiency, is the actual heat output of the incinerator. The heat energy invested in the fuel; Pollutant emission level assessment: Based on the flue gas composition data, the pollutant emission level is assessed using the following emission scoring formula: ,in, Score the carbon monoxide emission level, is the actual measured CO concentration, is the maximum permissible carbon monoxide concentration for this type of waste incinerator; Comprehensive evaluation: Based on the results of combustion efficiency and pollutant emission scores, the weighted average method is used to generate the final combustion status evaluation score. The formula is: ,in, For the final evaluation score, is the weight coefficient of each parameter.

7. A waste incinerator combustion management system according to claim 6, characterized in that: The model comparison unit comprises: Deviation calculation: receiving the combustion state evaluation score generated by the state evaluation unit and the preset optimal combustion state model score , use the deviation calculation formula to calculate the deviation between the current combustion state and the optimal state ; Deviation analysis: Based on the calculated deviation , the normalized deviation analysis method is applied to standardize the deviation value to the [0,1] interval, the formula is: ,in, and are the preset minimum and maximum values ​​of the combustion state evaluation score respectively; Threshold determination unit: used to normalize the deviation With the preset threshold Compare and determine whether there is a significant deviation. The judgment formula is: ， in, is the preset deviation threshold, set to 0.

2.

8. The waste incinerator combustion management system according to claim 1, characterized in that: The decision control module includes an optimization rule database unit, a rule matching unit and an instruction generation unit; wherein: Optimization rule database unit: used to store preset optimization rules, which are formulated based on combustion efficiency and pollutant emission standards, covering adjustment strategies and parameter ranges under different combustion conditions, including: Rule 1: When combustion efficiency When it is lower than 80%, increase the air flow by 5%; Rule 2, when carbon monoxide emissions are scored When the maximum allowable value exceeds 100%, reduce the fuel input by 10%; Rule 3, when NOx emissions are scored When the maximum allowable value is exceeded by 90%, the combustion temperature is adjusted to be reduced by 5%; Rule 4: When CO2 emissions are scored Exceeding the maximum allowable value by 95%, reduce fuel input by 12% and increase air flow by 8%; Rule matching unit: used to receive the combustion state evaluation result from the data analysis module and match it with the preset rules in the optimization rule database unit to determine the applicable optimization rule; Instruction generation unit: used to directly generate combustion adjustment instructions according to the matched optimization rules and transmit them to the combustion control module.

9. A waste incinerator combustion management system according to claim 8, characterized in that: The instruction generation unit comprises: Rule identification: used to receive the matching results from the rule matching unit and identify the specific optimization rule number that is matched; Instruction mapping: used to extract the corresponding combustion adjustment parameters from the preset instruction mapping table according to the identified optimization rule number. The instruction mapping specifically includes: Rule 1 increases the air flow by 5%, Rule 2 reduces the fuel input by 10%, Rule 3 adjusts the combustion temperature to decrease by 5%, and Rule 4 reduces the fuel input by 12% and increases the air flow by 8%; Instruction generation: It is used to generate specific combustion adjustment instructions according to the adjustment parameters extracted from the mapping table. The adjustment amount is converted into a control signal by using the method of conditional judgment and parameter assignment. The expression is: ； The specific adjustment operation performs corresponding parameter adjustment according to the matched rule number; Command output: Use Modbus protocol to send control signals through RS485 interface, and transmit the generated combustion adjustment command to the combustion regulation module.

10. A waste incinerator combustion management system according to claim 1, characterized in that: The combustion adjustment module includes an air flow adjustment unit, a temperature control unit and a fuel injection control unit; wherein: Air flow regulating unit: used to receive the air flow adjustment instruction from the instruction generating unit, and control the air flow in the combustion chamber by adjusting the speed of the fan or controlling the opening of the air valve; Temperature control unit: used to receive the temperature adjustment instruction from the instruction generation unit, and maintain the temperature in the combustion chamber within a preset range by adjusting the heating device or cooling system of the combustion chamber; Fuel injection control unit: used to receive the fuel injection adjustment instruction from the instruction generation unit, and control the fuel supply by adjusting the flow of the fuel delivery pump or controlling the opening of the fuel valve.

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