CN118070073A - Garbage pool control method and system for garbage incineration power plant based on artificial intelligence - Google Patents
Garbage pool control method and system for garbage incineration power plant based on artificial intelligence Download PDFInfo
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Abstract
The invention relates to the technical field of garbage pool control, and particularly discloses a garbage pool control method and a garbage pool control system for a garbage incineration power plant based on artificial intelligence, wherein the method comprises the following steps: the garbage pool storage analysis, the garbage pool operation evaluation and the garbage pool scheme matching are carried out on garbage to be detected stored in the garbage pool, the garbage pool operability is obtained through the analysis and the matching, and the operation process parameters of the garbage pool are synthesized, so that the garbage pool operation evaluation index is obtained through the evaluation, the garbage pool is correspondingly controlled, the garbage pool is accurately controlled, the garbage pool is efficiently managed by a manager of a garbage incineration power plant, potential safety hazards of the garbage pool can be found and processed in time, and a guarantee is provided for the stability of the incineration power generation of the garbage incineration power plant.
Description
Technical Field
The invention relates to the technical field of garbage pool control, in particular to a garbage pool control method and a garbage pool control system for a garbage incineration power plant based on artificial intelligence.
Background
With the continuous progress of technology, the traditional garbage pool control method of the garbage incineration power plant has difficulty in meeting increasingly strict environmental protection requirements and efficiency standards, so that intelligent control and management of the garbage pool of the garbage incineration power plant are realized by means of advanced algorithms and models of artificial intelligence, and the method and the system for controlling the garbage pool of the garbage incineration power plant based on the artificial intelligence are a necessary trend of industry development.
For example, the invention patent with publication number CN111985800B is an intelligent control method for garbage pool of garbage incineration power plant, in order to overcome the problems that the garbage pool management of the existing garbage incineration power plant mainly uses black-white board record and personal experience, it is difficult to have a relatively accurate estimation for the garbage piled in the garbage pool, the garbage pool management does not have visualization, and the insufficient experience of the operators in the shift is difficult to continuously and effectively manage the garbage pool, so the intelligent control method for garbage pool of garbage incineration power plant is provided, which mainly comprises the following steps: the method comprises a first step, a garbage pool meshing space positioning step, a second step, a data acquisition step, a third step, a data system analysis step and a fourth step, wherein the three-dimensional model display step is used for carrying out meshing positioning on the garbage pool and carrying out timing scanning through a three-dimensional scanning system, and the obtained data is utilized to carry out system analysis so as to construct a real-time three-dimensional digital model for garbage stacking of the garbage pool, and a data output system is used for outputting a calculation result to an automatic garbage crane control system to realize full-automatic operation of the garbage crane, and can be used for outputting system data to a remote management system to realize remote condition monitoring, so that the problems in the prior art can be effectively solved.
For example, patent application publication number CN116050664a, relates to a garbage yield prediction method, system, electronic device and readable storage medium, the method comprising obtaining historical garbage data and garbage data to be predicted, the historical garbage data comprising area identification, date identification, garbage yield, weather identification and event parameters; screening first historical data with weather identification equal to a standard weather preset value; classifying the first historical data according to the area identifier and the date identifier; for the first historical data of each class, determining standard garbage yield according to standard yield calculation rules; determining event influence parameters according to preset event influence calculation rules, standard garbage yield and event parameters; determining weather influence parameters according to a preset weather influence calculation rule, standard garbage yield and weather identification; according to a preset analysis method, the garbage data to be predicted, weather influence parameters and event influence parameters, the predicted garbage yield is determined, and the effect of improving the prediction accuracy of the garbage yield is achieved.
However, in the process of implementing the embodiment of the present application, the present application discovers that the above technology has at least the following technical problems: above-mentioned application is in carrying out visual management in the rubbish pond, lack the parameter analysis to rubbish pond operation process, for example rubbish feed rate and rubbish pond inner wall pressure, can't carry out effective estimation to rubbish in the rubbish pond from this, and then reduce the security of rubbish incineration power generation process, lead to can not guaranteeing the stability of rubbish incineration power plant, above-mentioned application is when carrying out analysis and prediction to rubbish, the extra rubbish that produces by itself is not analyzed, for example the leachate that rubbish pile up the production, consequently, the degree of accuracy of rubbish output prediction has been reduced, lead to unable comprehensive management to rubbish, thereby increase the volatility of rubbish incineration process.
Disclosure of Invention
Aiming at the defects of the prior art, the invention provides a garbage pool control method and a garbage pool control system for a garbage incineration power plant based on artificial intelligence, which can effectively solve the problems related to the background art.
In order to achieve the above purpose, the invention is realized by the following technical scheme: the first aspect of the invention provides a garbage pool control method for a garbage incineration power plant based on artificial intelligence, which comprises the following steps: firstly, placing garbage to be detected stored in a garbage pool, analyzing a garbage storage effect index to be detected, obtaining the operability of the garbage pool by matching, comparing the operability of the garbage pool with a set operability threshold, and if the operability of the garbage pool is higher than the set operability threshold, continuing to execute the following steps, otherwise, continuing to execute the steps; step two, acquiring operation process parameters of the garbage pool, and comprehensively evaluating to obtain operation evaluation indexes of the garbage pool; and thirdly, matching to obtain a control scheme corresponding to the garbage pool according to the operation evaluation index of the garbage pool, and performing corresponding control.
As a further method, the matching obtains the operability of the garbage pool, and the specific matching process is as follows: and matching the garbage storage effect index to be detected with the garbage pool operability corresponding to each garbage storage effect index interval set in the garbage pool information bin, thereby obtaining the garbage pool operability.
As a further method, the garbage storage effect index to be detected comprises the following specific analysis processes: according to the to-be-detected garbage stored in the garbage pool, placing and processing are carried out to obtain to-be-detected garbage storage parameters, and according to the to-be-detected garbage storage parameters, extracting the temperature and the water content of the to-be-detected garbage at the starting time point and the ending time point of a set garbage storage period, so that the temperature variation and the water content variation of the to-be-detected garbage in the garbage storage period are obtained through difference analysis; extracting odor stimulation levels of the garbage to be detected at a set starting time point and an ending time point of a garbage storage period according to the garbage storage parameters to be detected, obtaining garbage odor difference levels through difference analysis, and matching the garbage odor difference levels with microorganism change contents corresponding to the garbage odor difference levels defined in a garbage pool information bin, so as to obtain the microorganism change contents of the garbage to be detected in the garbage storage period; and (3) synthesizing a preset temperature change limiting quantity, a water content reference change rate and a microorganism reference change content to obtain the garbage storage effect index to be detected.
As a further method, the operation process parameters of the garbage pool specifically include a garbage pool operation environment protection parameter, a garbage pool operation safety parameter and a garbage pool operation stability parameter.
As a further method, the operation evaluation index of the garbage pool comprises the following specific analysis processes: according to the garbage pool operation environment protection parameter, the garbage pool operation safety parameter and the garbage pool operation stability parameter, respectively analyzing to obtain a garbage pool operation environment protection index, a garbage pool operation safety index and a garbage pool operation stability index, and synthesizing a garbage storage effect index to be detected, thereby obtaining a garbage pool operation evaluation index, wherein the specific expression is as follows:
wherein, For the operation evaluation index of the garbage pool,/>For the garbage storage effect index to be detected,/>Running environmental protection index for garbage pool,/>Running a safety index for a refuse pool,/>For the operation stability index of garbage pool,/>For the weight coefficient corresponding to the set garbage storage effect index to be detected,/>Running a weight coefficient corresponding to the environmental protection index for the set garbage pool,/>Weight coefficient corresponding to running safety index of set garbage pool,/>And e is a natural constant, which is a weight coefficient corresponding to the running stability index of the set garbage pool.
As a further method, the garbage pool runs an environmental protection index, and the specific analysis process is as follows: extracting the maximum concentration of pollutants in percolate belonging to the garbage pool in a garbage throwing period and a time point corresponding to the maximum concentration according to the operation environment-friendly parameters of the garbage pool, extracting the concentration of the pollutants in the percolate belonging to the garbage pool at the end time point of the garbage throwing period, carrying out differential treatment on the pollutants in the percolate belonging to the garbage pool and the maximum concentration in the garbage throwing period to obtain the treatment concentration of the percolate belonging to the garbage pool, carrying out differential analysis on the end time point of the garbage throwing period and the time point corresponding to the maximum concentration in the garbage throwing period to obtain the treatment time period of the percolate belonging to the garbage pool, and carrying out specific analysis on the treatment concentration of the pollutants in the percolate belonging to the garbage pool to obtain the treatment efficiency of the percolate belonging to the garbage pool in the garbage throwing period; meanwhile, according to the operation environment-friendly parameters of the garbage pool, extracting the maximum concentration of pollutants in the waste gas of the garbage pool in a garbage throwing period and a time point corresponding to the maximum concentration, extracting the concentration of the pollutants in the waste gas of the garbage pool at the end time point of the garbage throwing period, carrying out differential treatment on the pollutants in the waste gas of the garbage pool and the maximum concentration of the pollutants in the waste gas of the garbage pool in the garbage throwing period to obtain the waste gas treatment concentration of the garbage pool, carrying out differential analysis on the end time point of the garbage throwing period and the time point corresponding to the maximum concentration of the pollutants in the waste gas of the garbage pool in the garbage throwing period to obtain the waste gas treatment time period of the garbage pool, and carrying out specific analysis on the waste gas treatment concentration of the garbage pool to obtain the treatment efficiency of the waste gas of the garbage pool in the garbage throwing period; thus comprehensively analyzing and obtaining the environmental protection index of the operation of the garbage pool.
As a further method, the operation safety index of the garbage pool is as follows: according to the operation safety parameters of the garbage pool, positioning each pressure detection point of the inner wall of the garbage pool, extracting the average pressure of each pressure detection point in the garbage pool in the garbage throwing period, and obtaining the average pressure of the inner wall of the garbage pool in the garbage throwing period through average analysis; meanwhile, the number of gas leakage position points of the garbage pool in the garbage throwing period is extracted from the operation safety parameters of the garbage pool, and the operation safety index of the garbage pool is obtained through comprehensive analysis.
As a further method, the garbage pool operation stability index comprises the following specific analysis processes: dividing a set garbage throwing period into throwing detection points according to a garbage pool operation stability parameter, marking time periods of intervals between adjacent throwing detection points as throwing time periods, positioning a central position point of a feeding hole of the garbage pool, recording a throwing volume of garbage received by the central position point of the feeding hole of the garbage pool under each throwing time period, recording as a garbage entering volume, performing differential analysis on the garbage entering volume corresponding to the adjacent throwing time period to obtain garbage differential volumes, thus obtaining garbage differential total volume through integrated analysis, and matching the garbage differential total volume with feeding uniformity corresponding to each garbage differential total volume interval defined in a garbage pool information bin, thereby obtaining the feeding uniformity of the feeding hole of the garbage pool in the garbage throwing period; integrating the garbage entering volumes to obtain the total garbage entering volume, and carrying out ratio analysis on the time period corresponding to the garbage throwing period to obtain the feeding speed of the garbage pond feeding port in the garbage throwing period; and extracting the feeding definition speed and feeding reference uniformity corresponding to the to-be-detected garbage storage effect index interval from the garbage pool information bin, and comprehensively analyzing to obtain the garbage pool operation stability index.
As a further method, the matching obtains a control scheme corresponding to the garbage pool, and performs corresponding control, and the specific process is as follows: and matching the operation evaluation index of the garbage pool with a control scheme corresponding to each operation evaluation index interval of the garbage pool defined in the garbage pool information bin, thereby obtaining the control scheme corresponding to the garbage pool, and correspondingly controlling the garbage pool.
The second aspect of the invention provides a refuse disposal control system of a refuse incineration power plant based on artificial intelligence, comprising: the garbage pool storage analysis module is used for carrying out placement treatment on garbage to be detected stored in the garbage pool, analyzing the garbage storage effect index to be detected, obtaining the operability of the garbage pool through matching, comparing the operability of the garbage pool with a set operability threshold, entering the garbage pool operation evaluation module if the operability of the garbage pool is higher than the set operability threshold, otherwise, entering the garbage pool storage analysis module; the garbage pool operation evaluation module is used for acquiring operation process parameters of the garbage pool, and comprehensively evaluating the operation process parameters to obtain garbage pool operation evaluation indexes; the garbage pool scheme matching module is used for matching to obtain a control scheme corresponding to the garbage pool according to the operation evaluation index of the garbage pool and carrying out corresponding control; the garbage pool information bin is used for storing the operability of the garbage pool corresponding to each garbage storage effect index interval, the microorganism change content corresponding to each garbage odor difference grade, the feeding uniformity corresponding to each garbage difference total volume interval, the control scheme corresponding to each garbage pool operation evaluation index interval, the feeding defining speed corresponding to the garbage storage effect index interval to be detected and the feeding reference uniformity.
Compared with the prior art, the embodiment of the invention has at least the following advantages or beneficial effects:
(1) According to the garbage pool control method and system for the garbage incineration power plant based on artificial intelligence, garbage to be detected stored in the garbage pool is placed and processed, the storage effect index of the garbage to be detected is analyzed, the storage state of the garbage pool can be mastered more accurately, the operability of the garbage pool is obtained through matching, the garbage pool storage problem can be responded in time by comparing the operability with the set operable threshold, and meanwhile the high-efficiency management level of management staff of the garbage incineration power plant on the garbage pool is improved.
(2) According to the invention, through obtaining the operation process parameters of the garbage pool, the actual operation state of the garbage pool can be comprehensively and deeply known, the operation evaluation index of the garbage pool can be comprehensively evaluated, the overall operation performance of the garbage pool can be objectively reflected, the garbage pool manager can be helped to take measures rapidly and timely to adjust and optimize the operation efficiency of the garbage pool, and the normal operation of the garbage pool is ensured.
(3) According to the invention, the control scheme corresponding to the garbage pool is obtained through the garbage pool operation evaluation index matching, so that the garbage pool is controlled, potential safety hazards of the garbage pool can be found and treated in time, and meanwhile, the stability of incineration power generation of the garbage incineration power plant is ensured.
Drawings
The invention will be further described with reference to the accompanying drawings, in which embodiments do not constitute any limitation of the invention, and other drawings can be obtained by one of ordinary skill in the art without inventive effort from the following drawings.
FIG. 1 is a flow chart of the method steps of the present invention.
Fig. 2 is a schematic diagram of system module connection according to the present invention.
Detailed Description
The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the described embodiments are only some embodiments of the present invention, but not all embodiments, and all other embodiments obtained by those skilled in the art without making creative efforts based on the embodiments of the present invention are included in the protection scope of the present invention.
Referring to fig. 1, a first aspect of the present invention provides an artificial intelligence-based garbage pool control method for a garbage incineration power plant, comprising: firstly, placing garbage to be detected stored in a garbage pool, analyzing the garbage storage effect index to be detected, obtaining the operability of the garbage pool by matching, comparing the operability of the garbage pool with a set operability threshold, and if the operability of the garbage pool is higher than the set operability threshold, continuing to execute the following steps, otherwise, continuing to execute the steps.
The operability of the garbage pool is higher than the set operable threshold, which means that the garbage pool is higher in operability and can operate normally, if the operability of the garbage pool is lower than the set operable threshold, the operability of the garbage pool is lower, the working state of the garbage pool is possibly problematic, and if the garbage pool is forced to operate, the garbage cannot be effectively treated and the safety accident of the garbage pool is possibly caused.
In a specific embodiment, the invention can comprehensively and deeply understand the actual operation state of the garbage pool by acquiring the operation process parameters of the garbage pool, comprehensively evaluate and obtain the operation evaluation index of the garbage pool, objectively reflect the overall operation performance of the garbage pool, and help garbage pool management personnel to take measures rapidly and adjust and optimize the operation efficiency of the garbage pool in time so as to ensure the normal operation of the garbage pool.
Specifically, the matching obtains the operability of the garbage pool, and the specific matching process is as follows: the garbage pool operability is obtained by matching the garbage storage effect index to be detected with the garbage pool operability corresponding to each garbage storage effect index interval set in the garbage pool information bin, and the garbage pool operability not only provides a solid data base for garbage pool operation evaluation indexes, but also plays a key reference role in subsequent parameter setting and adjustment.
Further, the garbage storage effect index to be detected comprises the following specific analysis processes: according to the to-be-detected garbage stored in the garbage pool, placing and processing are carried out to obtain to-be-detected garbage storage parameters, and according to the to-be-detected garbage storage parameters, extracting the temperature and the water content of the to-be-detected garbage at the starting time point and the ending time point of a set garbage storage period, so that the temperature variation and the water content variation of the to-be-detected garbage in the garbage storage period are obtained through difference analysis; the temperature of the garbage storage period starting time point and the temperature of the garbage storage period ending time point represent the temperatures of the garbage to be detected, which are acquired through the temperature sensor, at the same position point under the garbage storage period starting time point and the garbage storage period ending time point; the water content at the beginning time point of the garbage storage period and the water content at the ending time point of the garbage storage period represent the water content of the same part of the garbage to be detected under the beginning time point of the garbage storage period and under the ending time point of the garbage storage period, which are measured by the moisture meter.
Extracting odor stimulation levels of the garbage to be detected at a set starting time point and an ending time point of a garbage storage period according to the garbage storage parameters to be detected, obtaining garbage odor difference levels through difference analysis, and matching the garbage odor difference levels with microorganism change contents corresponding to the garbage odor difference levels defined in a garbage pool information bin, so as to obtain the microorganism change contents of the garbage to be detected in the garbage storage period; the odor stimulation levels of the garbage to be detected at the set garbage storage period starting time point and the set garbage storage period ending time point represent the odor stimulation levels of the garbage to be detected at the same position point under the garbage storage period starting time point and the garbage storage period ending time point obtained through quantitative evaluation of the electronic nose technology.
And obtaining the to-be-detected garbage storage effect index by integrating the preset temperature change limiting quantity, the water content reference change rate and the microorganism reference change content, wherein in a specific embodiment, the to-be-detected garbage storage effect index can be obtained by collecting state data of garbage stored in a large number of garbage pools and learning a complex relationship between the state data of the garbage and the storage effect index through a convolutional neural network model.
The above-mentioned rubbish storage effect index to be detected is obtained through comprehensive analysis of the temperature variation, the water content variation rate and the microorganism variation content of rubbish to be detected in the rubbish storage period in this embodiment, and is used for judging the numerical value of rubbish storage effect to be detected, and in this embodiment, a more accurate calculation method is adopted to obtain the rubbish storage effect index, and the specific expression is:
wherein, In order to detect the garbage storage effect index, the excessive temperature variation can cause the accelerated decomposition of organic substances in garbage, generate excessive heat and harmful gas, reduce the garbage storage effect and threaten the safe operation of a garbage pool; the fact that the water content change rate does not belong to a reasonable range indicates that garbage is insufficiently fermented or excessive percolate is generated, and the treatment of the percolate not only increases the cost, but also can pollute the surrounding environment of a garbage pool; the microorganism change content does not belong to a reasonable range, and can indicate that organic matters in garbage are insufficient in decomposition, the garbage fermentation effect is poor, and the operation efficiency of a garbage incineration power plant is reduced, so that the problem occurring in the garbage storage process of the garbage pool can be timely found and solved by analyzing the garbage storage effect index to be detected, the garbage storage effect is optimized, and the environmental pollution caused by the garbage pool is reduced.
For the temperature variation of the garbage to be detected in the garbage storage period, the absolute value of the temperature difference of the garbage to be detected at the starting time point and the ending time point of the garbage storage period is represented, and monitoring the temperature variation is helpful for knowing the activity degree of biochemical reaction in the garbage and judging the garbage decomposition speed, so that the garbage storage stability is evaluated.
The water content in the garbage has obvious influence on the decomposition speed, the gas generation amount and the storage treatment effect of the garbage.
For the microbial variation content of the garbage to be detected in the garbage storage period, the absolute value of the microbial content difference of the garbage to be detected at the beginning time point and the ending time point of the garbage storage period is represented, and the monitoring of the microbial variation content is helpful for knowing the dynamic variation of microbial communities in the garbage storage process, so that the garbage decomposition efficiency and byproducts possibly generated are judged, the garbage decomposition process can be optimized by regulating and controlling the types and the quantity of the microbes, and the generation of harmful gases is reduced.
And the upper limit value of the temperature variation of the garbage to be detected in the garbage storage period is analyzed for the temperature variation limiting quantity.
The reference standard for analyzing the water content change rate of the garbage to be detected in the garbage storage period is represented by the water content reference change rate.
The reference variable content of the microorganisms is represented as a reference standard for analyzing the microbial variable content of the garbage to be detected in the garbage storage period.
Is a correction factor of the set temperature variation amount,/>For the correction factor of the set water content change rate,/>Is a correction factor for the set microorganism variation content.
In a specific embodiment, the temperature of the garbage to be detected at a certain position of the start time point of the garbage storage period is set to beSimultaneously setting the temperature of the position point of the garbage to be detected at the ending time point of the garbage storage period as/>The temperature variation of the garbage to be detected in the garbage storage period is/>。
In a specific embodiment, the water content of the garbage to be detected at a certain part of the starting time point of the garbage storage period is set to beSimultaneously setting the water content of the part of the garbage to be detected at the end time point of the garbage storage period as/>The water content change rate of the garbage to be detected in the garbage storage period is/>。
And step two, acquiring operation process parameters of the garbage pool, and comprehensively evaluating to obtain operation evaluation indexes of the garbage pool.
In a specific embodiment, the control scheme corresponding to the garbage pool is obtained through the garbage pool operation evaluation index matching, so that the garbage pool is controlled, potential safety hazards of the garbage pool can be found and treated in time, and meanwhile, the stability of incineration power generation of the garbage incineration power plant is guaranteed.
The operation process parameters of the garbage pool comprise a garbage pool operation environment-friendly parameter, a garbage pool operation safety parameter and a garbage pool operation stability parameter, wherein the garbage pool operation environment-friendly parameter comprises the maximum concentration of pollutants in percolate of the garbage pool in a garbage throwing period and a time point corresponding to the maximum concentration, the concentration of the pollutants in the percolate of the garbage pool in a garbage throwing period ending time point, the maximum concentration of the pollutants in waste gas of the garbage pool in the garbage throwing period and a time point corresponding to the maximum concentration and the concentration of the pollutants in the waste gas of the garbage pool in the garbage throwing period ending time point; the operation safety parameters of the garbage pool comprise pressure detection points of the inner wall of the garbage pool, average pressure of each pressure detection point in the garbage pool in a garbage throwing period and the number of gas leakage position points of the garbage pool in the garbage throwing period; the garbage pool operation stability parameters comprise a garbage pool feed inlet central position point and a garbage pool feed inlet central position point, and a garbage throwing volume for receiving garbage in each throwing time period.
Specifically, the operation evaluation index of the garbage pool comprises the following specific analysis processes: according to the garbage pool operation environment protection parameter, the garbage pool operation safety parameter and the garbage pool operation stability parameter, respectively analyzing to obtain a garbage pool operation environment protection index, a garbage pool operation safety index and a garbage pool operation stability index, synthesizing the garbage storage effect index to be detected, thereby obtaining a garbage pool operation evaluation index, and in a specific embodiment, collecting multidimensional information in the garbage pool operation process, inputting a physical simulation model, and analyzing to obtain the garbage pool operation evaluation index.
The above-mentioned garbage pool operation evaluation index is obtained through comprehensive analysis of garbage pool operation environment protection index, garbage pool operation safety index, garbage pool operation stability index and garbage storage effect index to be detected, and is used for judging the numerical value of the garbage pool operation condition, and in this embodiment, a more accurate calculation method is adopted to obtain the numerical value, and the specific expression is:
wherein, For the operation evaluation index of the garbage pool, the poor to-be-detected garbage storage effect index indicates that the garbage can possibly have problems of fermentation, deterioration and the like in the garbage pool storage process, so that the quality of garbage raw materials of the garbage incineration power plant can be influenced, the treatment difficulty and cost of the garbage can be increased, and the power generation efficiency of the garbage incineration power plant can be reduced; the environment-friendly index of the garbage pool running is not up to standard, which means that excessive pollutant emission can be generated in the garbage storage process of the garbage pool; the low operation safety index of the garbage pool indicates that potential safety hazards possibly exist in the garbage storage process of the garbage pool; the unstable index of the operation stability of the garbage pool indicates that the garbage pool possibly frequently fails in the process of storing garbage in the garbage pool, so that the problem of the operation process of the garbage pool can be found and solved in time by evaluating each index, the storage efficiency of the garbage pool is improved, the garbage treatment process is optimized, good garbage raw materials are provided for a garbage incineration power plant, the power generation efficiency of the garbage incineration power plant is improved, and the long-term development of the garbage incineration power plant is facilitated.
The to-be-detected garbage storage effect index is a numerical value which is obtained by comprehensively analyzing the temperature change, the water content change rate and the microorganism change content of the to-be-detected garbage in the garbage storage period and is used for judging the to-be-detected garbage storage effect.
The environmental protection index is a numerical value which is obtained by comprehensively analyzing the treatment efficiency of percolate belonging to the garbage pool in the garbage throwing period and the treatment efficiency of waste gas belonging to the garbage pool in the garbage throwing period and is used for judging the environmental protection degree of the operation of the garbage pool.
The operation safety index of the garbage pool is a numerical value which is obtained by comprehensively analyzing the average pressure intensity of the inner wall of the garbage pool in the garbage throwing period and the number of gas leakage position points and is used for judging the operation safety degree of the garbage pool.
The stability index of the operation of the garbage pool is a numerical value which is obtained by comprehensively analyzing the feeding speed and the feeding uniformity of a feeding port of the garbage pool in a garbage throwing period and is used for judging the stability degree of the operation of the garbage pool.
For the weight coefficient corresponding to the set garbage storage effect index to be detected,/>Running a weight coefficient corresponding to the environmental protection index for the set garbage pool,/>Weight coefficient corresponding to running safety index of set garbage pool,/>And e is a natural constant, which is a weight coefficient corresponding to the running stability index of the set garbage pool.
Specifically, the garbage pool is operated with environmental protection indexes, and the specific analysis process is as follows: extracting the maximum concentration of pollutants in percolate belonging to the garbage pool in a garbage throwing period and a time point corresponding to the maximum concentration according to the operation environment-friendly parameters of the garbage pool, extracting the concentration of the pollutants in the percolate belonging to the garbage pool at the end time point of the garbage throwing period, carrying out differential treatment on the pollutants in the percolate belonging to the garbage pool and the maximum concentration in the garbage throwing period to obtain the treatment concentration of the percolate belonging to the garbage pool, carrying out differential analysis on the end time point of the garbage throwing period and the time point corresponding to the maximum concentration in the garbage throwing period to obtain the treatment time period of the percolate belonging to the garbage pool, and carrying out specific analysis on the treatment concentration of the pollutants in the percolate belonging to the garbage pool to obtain the treatment efficiency of the percolate belonging to the garbage pool in the garbage throwing period; the maximum concentration of pollutants in the percolate of the garbage pool in the garbage throwing period can be detected by using a spectrophotometer, the concentration of organic matters in the percolate of the garbage pool in a certain time point in the garbage throwing period is detected by using an atomic emission spectrometer, the concentration of heavy metals in the percolate of the garbage pool in the time point in the garbage throwing period is detected by using an ion selection electrode, the concentration of ammonia nitrogen ions in the percolate of the garbage pool in the time point in the garbage throwing period is measured by an ion selection electrode, the pollutant concentrations of the percolate of the garbage pool in the time point in the garbage throwing period are integrated, the pollutant concentrations are sorted from large to small, and the first pollutant concentration is extracted and is the maximum value of the pollutant concentrations of the percolate of the garbage pool in the garbage throwing period.
Meanwhile, according to the operation environment-friendly parameters of the garbage pool, extracting the maximum concentration of pollutants in the waste gas of the garbage pool in a garbage throwing period and a time point corresponding to the maximum concentration, extracting the concentration of the pollutants in the waste gas of the garbage pool at the end time point of the garbage throwing period, carrying out differential treatment on the pollutants in the waste gas of the garbage pool and the maximum concentration of the pollutants in the waste gas of the garbage pool in the garbage throwing period to obtain the waste gas treatment concentration of the garbage pool, carrying out differential analysis on the end time point of the garbage throwing period and the time point corresponding to the maximum concentration of the pollutants in the waste gas of the garbage pool in the garbage throwing period to obtain the waste gas treatment time period of the garbage pool, and carrying out specific analysis on the waste gas treatment concentration of the garbage pool to obtain the treatment efficiency of the waste gas of the garbage pool in the garbage throwing period; the maximum concentration of the pollutants in the waste gas of the garbage pool in the garbage throwing period can be monitored in real time through the automatic monitoring system, so that the maximum concentration of the pollutants in the waste gas of the garbage pool in the garbage throwing period is obtained.
The environmental protection index of the operation of the garbage pool is obtained through comprehensive analysis, and in a specific embodiment, the environmental protection data of the garbage pool can be standardized by utilizing the comprehensive evaluation model, and then the environmental protection index of the operation of the garbage pool is obtained through weighting treatment.
The above-mentioned environmental protection index of operation of the rubbish pool, in this embodiment, is obtained through comprehensive analysis of the treatment efficiency of the leachate of the rubbish pool in the rubbish delivery period and the treatment efficiency of the waste gas of the rubbish pool in the rubbish delivery period, is used for judging the numerical value of the environmental protection degree of operation of the rubbish pool, and in this embodiment, is obtained by adopting a more accurate calculation method, and the specific expression is:
wherein, For the environmental protection index of garbage pool operation, in the garbage throwing period, if the leachate and the abandonment treatment efficiency of garbage pool are low, a large amount of untreated pollutants are directly discharged, the environment is seriously polluted, the environmental protection index of garbage pool can be reduced, the air quality of a garbage incineration power plant can be negatively influenced, and therefore, the improvement of the leachate and the waste gas treatment efficiency is not only beneficial to the improvement of the environmental protection performance of the garbage pool, but also beneficial to the improvement of the environmental protection level of the garbage incineration power plant.
The efficient treatment efficiency of the leachate in the garbage throwing period shows that the removal degree of pollutants in the leachate is high, so that the overall effect of garbage treatment is improved.
The treatment efficiency of the waste gas of the waste pool in the garbage throwing period is high, the concentration of harmful substances in the waste gas can be obviously reduced by the high-efficiency waste gas treatment efficiency, the pollution of the waste treatment to the atmosphere is reduced, and the improvement of the overall environment of the waste incineration power plant is facilitated.
Is the influence factor of the unit value of the set percolate treatment efficiency,/>Is an influence factor of a set exhaust gas treatment efficiency unit value.
Specifically, the operation safety index of the garbage pool comprises the following specific analysis processes: according to the operation safety parameters of the garbage pool, positioning each pressure detection point of the inner wall of the garbage pool, extracting the average pressure of each pressure detection point in the garbage pool in the garbage throwing period, and obtaining the average pressure of the inner wall of the garbage pool in the garbage throwing period through average analysis; the average pressure of each pressure detection point in the garbage pool in the garbage throwing period can be obtained through measurement of a pressure sensor.
Meanwhile, the number of gas leakage position points of the garbage pool in the garbage throwing period is extracted from the operation safety parameters of the garbage pool, and the gas leakage position points can be comprehensively scanned by the gas leakage detector so as to position the gas leakage position points, so that the number of the gas leakage position points is calculated.
And comprehensively analyzing to obtain the operation safety index of the garbage pool, wherein in a specific embodiment, faults possibly occurring in the garbage pool can be analyzed through a fault tree analysis model, so that the operation safety index of the garbage pool is obtained through analysis.
The above-mentioned operation safety index of the garbage pool is obtained by comprehensively analyzing the average pressure of the inner wall of the garbage pool in the garbage throwing period and the number of the gas leakage position points in the embodiment, and is used for judging the numerical value of the operation safety degree of the garbage pool, and is obtained by adopting a more accurate calculation method in the embodiment, and the specific expression is as follows:
wherein, For the running safety index of the garbage pool, if the average pressure of the inner wall of the garbage pool is too high, the pool body structure of the garbage pool can be damaged, and even collapse can occur; the increase of the number of the gas leakage position points directly reflects the decrease of the sealing performance of the garbage pool, and safety accidents such as fire and explosion are easy to cause, the garbage pool is used as a key link of garbage storage and pretreatment, the operation safety of the garbage pool directly influences the stable operation of a garbage incineration power plant, and the garbage incineration power plant can optimize the garbage treatment process, improve the garbage utilization efficiency, reduce the environmental pollution and realize win-win of economic benefit and environmental benefit through monitoring and analyzing the pressure intensity of the inner wall of the garbage pool and the gas leakage points.
The average pressure of the inner wall of the garbage pool in the garbage throwing period is represented as the average distribution condition of the pressure of the garbage pool on the inner wall of the garbage pool in the garbage throwing period, and the structural safety and stability of the garbage pool are directly related to the average pressure.
The method is characterized in that the number of gas leakage position points of the garbage pool in the garbage throwing period is increased, the gas leakage is easy to occur due to the problems that the garbage is decomposed to generate gas, the sealing performance of the garbage pool is reduced and the like in the garbage throwing process of the garbage pool, and important basis can be provided for the design, transformation and maintenance of the garbage pool for the statistics and analysis of the number of the leakage position points.
And the reference value is a preset reference value of the pressure of the inner wall, and represents a reference standard for analyzing the average pressure of the inner wall of the garbage pool in the garbage throwing period.
Is a correction factor of preset average pressure/>Is an influence factor of a preset single gas leakage position point.
Specifically, the operation stability index of the garbage pool is specifically analyzed by the following steps: dividing a set garbage throwing period into throwing detection points according to a garbage pool operation stability parameter, marking time periods of intervals between adjacent throwing detection points as throwing time periods, positioning a central position point of a feeding hole of the garbage pool, recording a throwing volume of garbage received by the central position point of the feeding hole of the garbage pool under each throwing time period, recording as a garbage entering volume, performing differential analysis on the garbage entering volume corresponding to the adjacent throwing time period to obtain garbage differential volumes, thus obtaining garbage differential total volume through integrated analysis, and matching the garbage differential total volume with feeding uniformity corresponding to each garbage differential total volume interval defined in a garbage pool information bin, thereby obtaining the feeding uniformity of the feeding hole of the garbage pool in the garbage throwing period; the garbage throwing volume of the garbage pool feeding hole center position point for receiving garbage in each throwing time period can be obtained through a three-dimensional scanning technology.
Integrating the garbage entering volumes to obtain the total garbage entering volume, and carrying out ratio analysis on the time period corresponding to the garbage throwing period to obtain the feeding speed of the garbage pond feeding port in the garbage throwing period; and extracting the feeding defining speed and feeding reference uniformity corresponding to the to-be-detected garbage storage effect index interval from the garbage pool information bin, thereby comprehensively analyzing to obtain the garbage pool operation stability index, and in a specific embodiment, predicting the operation state of the garbage pool through a supervised learning algorithm so as to evaluate the garbage pool operation stability index.
The above-mentioned garbage pool operation stability index is obtained through comprehensive analysis of the feeding speed and feeding uniformity of the garbage pool feeding port in the garbage throwing period in the embodiment, and is used for judging the numerical value of the garbage pool operation stability degree, and is obtained by adopting a more accurate calculation method in the embodiment, and the specific expression is as follows:
wherein, For the operation stability index of the garbage pool, the too fast feeding speed can lead to uneven impact force on the inner wall of the garbage pool, and the structure of the garbage pool can be tired and damaged for a long time; uneven feeding can lead to rubbish compaction degree different, influences the overall stability of rubbish pond and leachate treatment effect, consequently through the feeding speed and the feeding degree of analysis rubbish, can discover the not enough of rubbish input in-process, provide scientific basis for the optimization and the improvement of rubbish pond.
For the feed rate of rubbish pond feed inlet in rubbish input cycle, the speed of feed rate can directly influence rubbish in the rubbish pond and pile up condition and the treatment effeciency, and too fast feed rate can lead to the rubbish pond to receive a large amount of rubbish in the short time, causes rubbish to pile up too high, compaction inequality scheduling problem, increases rubbish treatment degree of difficulty and security risk.
For the feeding degree of consistency of rubbish pond feed inlet in rubbish input cycle, the high low direct effect of feeding degree of consistency is rubbish compaction effect and degradation rate in the rubbish pond, if the feeding is inhomogeneous, can lead to rubbish to pile up too much in certain region in the rubbish pond, and then less relatively in other regions, causes the inhomogeneous, degradation rate of rubbish to be inconsistent scheduling problem, not only can influence effect and the efficiency of rubbish treatment, still probably increases rubbish treatment cost and security risk.
The upper limit value of the feeding speed of the feeding port of the garbage pool in the garbage throwing period is analyzed.
For the feed reference uniformity, a reference standard for analyzing the feed uniformity of the refuse chute feed inlet in the refuse feeding period is shown.
Is a correction factor of preset feeding speed,/>Is a correction factor for the preset feeding uniformity.
The feeding speed of the feeding port of the garbage pool in the garbage throwing period is set as follows in a specific embodimentSetting the feeding limiting speed asThe ratio of the two is/>。
And thirdly, matching to obtain a control scheme corresponding to the garbage pool according to the operation evaluation index of the garbage pool, and performing corresponding control.
In a specific embodiment, the invention provides the garbage pool control method and the garbage pool control system for the garbage incineration power plant based on artificial intelligence, which are used for placing garbage to be detected stored in the garbage pool, analyzing the garbage storage effect index to be detected, and can be used for grasping the storage state of the garbage pool more accurately, obtaining the operability of the garbage pool through matching, comparing the operability with the set operable threshold, responding to the garbage pool storage problem in time and improving the level of efficient management of the garbage pool by management staff of the garbage incineration power plant.
Specifically, the matching obtains a control scheme corresponding to the garbage pool, and performs corresponding control, and the specific process is as follows: matching the operation evaluation index of the garbage pool with a control scheme corresponding to each operation evaluation index interval of the garbage pool defined in the garbage pool information bin, thereby obtaining a control scheme corresponding to the garbage pool, and correspondingly controlling the garbage pool, wherein the obtained control scheme corresponding to the garbage pool indicates that the current operation state of the garbage pool is good when the operation evaluation index of the garbage pool is positioned at a high position, and each parameter is kept in an ideal range, so that the control scheme corresponding to the matched garbage pool is relatively simplified under the condition without excessive intervention and adjustment of the garbage pool; otherwise, the current running state of the garbage pool is poor, various parameters deviate from an ideal range, a control scheme corresponding to the matched garbage pool is relatively complex, and more regulation and optimization are needed to be carried out on the garbage pool; the corresponding control of the garbage pool aims at providing good garbage raw materials for garbage incineration, so that the garbage incineration process is smoother, and the electric quantity output of a garbage incineration power plant is increased.
Referring to fig. 2, a second aspect of the present invention provides an artificial intelligence-based refuse receptacle control system for a refuse incineration power plant, comprising: the garbage collection system comprises a garbage storage analysis module, a garbage operation evaluation module, a garbage scheme matching module and a garbage information bin.
The garbage pool storage analysis module is respectively connected with the garbage pool operation evaluation module and the garbage pool information bin, the garbage pool operation evaluation module is respectively connected with the garbage pool scheme matching module and the garbage pool information bin, and the garbage pool scheme matching module is connected with the garbage pool information bin.
The garbage pool storage analysis module is used for placing garbage to be detected stored in the garbage pool, analyzing the garbage storage effect index to be detected, obtaining the operability of the garbage pool through matching, comparing the operability of the garbage pool with a set operability threshold, entering the garbage pool operation evaluation module if the operability of the garbage pool is higher than the set operability threshold, otherwise, entering the garbage pool storage analysis module.
The garbage pool operation evaluation module is used for acquiring operation process parameters of the garbage pool, and comprehensively evaluating the operation process parameters to obtain garbage pool operation evaluation indexes.
The garbage pool scheme matching module is used for matching to obtain a control scheme corresponding to the garbage pool according to the operation evaluation index of the garbage pool and performing corresponding control.
The garbage pool information bin is used for storing the operability of the garbage pool corresponding to each garbage storage effect index interval, the microorganism change content corresponding to each garbage odor difference grade, the feeding uniformity corresponding to each garbage difference total volume interval, the control scheme corresponding to each garbage pool operation evaluation index interval, the feeding defining speed corresponding to the garbage storage effect index interval to be detected and the feeding reference uniformity.
The foregoing is merely illustrative of the structures of this invention and various modifications, additions and substitutions for those skilled in the art can be made to the described embodiments without departing from the scope of the invention or from the scope of the invention as defined in the accompanying claims.
Claims (10)
1. The garbage pool control method for the garbage incineration power plant based on the artificial intelligence is characterized by comprising the following steps of:
Firstly, placing garbage to be detected stored in a garbage pool, analyzing a garbage storage effect index to be detected, obtaining the operability of the garbage pool by matching, comparing the operability of the garbage pool with a set operability threshold, and if the operability of the garbage pool is higher than the set operability threshold, continuing to execute the following steps, otherwise, continuing to execute the steps;
Step two, acquiring operation process parameters of the garbage pool, and comprehensively evaluating to obtain operation evaluation indexes of the garbage pool;
and thirdly, matching to obtain a control scheme corresponding to the garbage pool according to the operation evaluation index of the garbage pool, and performing corresponding control.
2. The artificial intelligence-based garbage disposal plant garbage pool control method according to claim 1, wherein: the matching obtains the operability of the garbage pool, and the specific matching process is as follows:
and matching the garbage storage effect index to be detected with the garbage pool operability corresponding to each garbage storage effect index interval set in the garbage pool information bin, thereby obtaining the garbage pool operability.
3. The artificial intelligence-based garbage disposal plant garbage pool control method according to claim 2, wherein: the garbage storage effect index to be detected comprises the following specific analysis processes:
According to the to-be-detected garbage stored in the garbage pool, placing and processing are carried out to obtain to-be-detected garbage storage parameters, and according to the to-be-detected garbage storage parameters, extracting the temperature and the water content of the to-be-detected garbage at the starting time point and the ending time point of a set garbage storage period, so that the temperature variation and the water content variation of the to-be-detected garbage in the garbage storage period are obtained through difference analysis;
Extracting odor stimulation levels of the garbage to be detected at a set starting time point and an ending time point of a garbage storage period according to the garbage storage parameters to be detected, obtaining garbage odor difference levels through difference analysis, and matching the garbage odor difference levels with microorganism change contents corresponding to the garbage odor difference levels defined in a garbage pool information bin, so as to obtain the microorganism change contents of the garbage to be detected in the garbage storage period;
And (3) synthesizing a preset temperature change limiting quantity, a water content reference change rate and a microorganism reference change content to obtain the garbage storage effect index to be detected.
4. The artificial intelligence-based garbage disposal plant garbage pool control method according to claim 1, wherein: the operation process parameters of the garbage pool comprise the operation environment-friendly parameters of the garbage pool, the operation safety parameters of the garbage pool and the operation stability parameters of the garbage pool.
5. The artificial intelligence-based garbage disposal plant garbage pool control method according to claim 1, wherein: the operation evaluation index of the garbage pool comprises the following specific analysis processes:
according to the garbage pool operation environment protection parameter, the garbage pool operation safety parameter and the garbage pool operation stability parameter, respectively analyzing to obtain a garbage pool operation environment protection index, a garbage pool operation safety index and a garbage pool operation stability index, and synthesizing a garbage storage effect index to be detected, thereby obtaining a garbage pool operation evaluation index, wherein the specific expression is as follows:
；
wherein, For the operation evaluation index of the garbage pool,/>For the garbage storage effect index to be detected,/>Running environmental protection index for garbage pool,/>Running a safety index for a refuse pool,/>For the operation stability index of garbage pool,/>For the weight coefficient corresponding to the set garbage storage effect index to be detected,/>Running a weight coefficient corresponding to the environmental protection index for the set garbage pool,/>Weight coefficient corresponding to running safety index of set garbage pool,/>And e is a natural constant, which is a weight coefficient corresponding to the running stability index of the set garbage pool.
6. The artificial intelligence-based garbage disposal plant garbage pool control method according to claim 5, wherein: the garbage pool operation environment-friendly index comprises the following specific analysis processes:
Extracting the maximum concentration of pollutants in percolate belonging to the garbage pool in a garbage throwing period and a time point corresponding to the maximum concentration according to the operation environment-friendly parameters of the garbage pool, extracting the concentration of the pollutants in the percolate belonging to the garbage pool at the end time point of the garbage throwing period, carrying out differential treatment on the pollutants in the percolate belonging to the garbage pool and the maximum concentration in the garbage throwing period to obtain the treatment concentration of the percolate belonging to the garbage pool, carrying out differential analysis on the end time point of the garbage throwing period and the time point corresponding to the maximum concentration in the garbage throwing period to obtain the treatment time period of the percolate belonging to the garbage pool, and carrying out specific analysis on the treatment concentration of the pollutants in the percolate belonging to the garbage pool to obtain the treatment efficiency of the percolate belonging to the garbage pool in the garbage throwing period;
Meanwhile, according to the operation environment-friendly parameters of the garbage pool, extracting the maximum concentration of pollutants in the waste gas of the garbage pool in a garbage throwing period and a time point corresponding to the maximum concentration, extracting the concentration of the pollutants in the waste gas of the garbage pool at the end time point of the garbage throwing period, carrying out differential treatment on the pollutants in the waste gas of the garbage pool and the maximum concentration of the pollutants in the waste gas of the garbage pool in the garbage throwing period to obtain the waste gas treatment concentration of the garbage pool, carrying out differential analysis on the end time point of the garbage throwing period and the time point corresponding to the maximum concentration of the pollutants in the waste gas of the garbage pool in the garbage throwing period to obtain the waste gas treatment time period of the garbage pool, and carrying out specific analysis on the waste gas treatment concentration of the garbage pool to obtain the treatment efficiency of the waste gas of the garbage pool in the garbage throwing period; thus comprehensively analyzing and obtaining the environmental protection index of the operation of the garbage pool.
7. The artificial intelligence-based garbage disposal plant garbage pool control method according to claim 5, wherein: the operation safety index of the garbage pool comprises the following specific analysis processes:
According to the operation safety parameters of the garbage pool, positioning each pressure detection point of the inner wall of the garbage pool, extracting the average pressure of each pressure detection point in the garbage pool in the garbage throwing period, and obtaining the average pressure of the inner wall of the garbage pool in the garbage throwing period through average analysis;
meanwhile, the number of gas leakage position points of the garbage pool in the garbage throwing period is extracted from the operation safety parameters of the garbage pool, and the operation safety index of the garbage pool is obtained through comprehensive analysis.
8. The artificial intelligence-based garbage disposal plant garbage pool control method according to claim 5, wherein: the operation stability index of the garbage pool is specifically analyzed as follows:
Dividing a set garbage throwing period into throwing detection points according to a garbage pool operation stability parameter, marking time periods of intervals between adjacent throwing detection points as throwing time periods, positioning a central position point of a feeding hole of the garbage pool, recording a throwing volume of garbage received by the central position point of the feeding hole of the garbage pool under each throwing time period, recording as a garbage entering volume, performing differential analysis on the garbage entering volume corresponding to the adjacent throwing time period to obtain garbage differential volumes, thus obtaining garbage differential total volume through integrated analysis, and matching the garbage differential total volume with feeding uniformity corresponding to each garbage differential total volume interval defined in a garbage pool information bin, thereby obtaining the feeding uniformity of the feeding hole of the garbage pool in the garbage throwing period;
Integrating the garbage entering volumes to obtain the total garbage entering volume, and carrying out ratio analysis on the time period corresponding to the garbage throwing period to obtain the feeding speed of the garbage pond feeding port in the garbage throwing period;
And extracting the feeding definition speed and feeding reference uniformity corresponding to the to-be-detected garbage storage effect index interval from the garbage pool information bin, and comprehensively analyzing to obtain the garbage pool operation stability index.
9. The artificial intelligence-based garbage disposal plant garbage pool control method according to claim 1, wherein: the matching obtains a control scheme corresponding to the garbage pool and carries out corresponding control, and the specific process is as follows:
And matching the operation evaluation index of the garbage pool with a control scheme corresponding to each operation evaluation index interval of the garbage pool defined in the garbage pool information bin, thereby obtaining the control scheme corresponding to the garbage pool, and correspondingly controlling the garbage pool.
10. An artificial intelligence-based garbage disposal plant control system, applying the artificial intelligence-based garbage disposal plant control method according to any one of claims 1 to 9, characterized in that: comprising the following steps:
the garbage pool storage analysis module is used for carrying out placement treatment on garbage to be detected stored in the garbage pool, analyzing the garbage storage effect index to be detected, obtaining the operability of the garbage pool through matching, comparing the operability of the garbage pool with a set operability threshold, entering the garbage pool operation evaluation module if the operability of the garbage pool is higher than the set operability threshold, otherwise, entering the garbage pool storage analysis module;
The garbage pool operation evaluation module is used for acquiring operation process parameters of the garbage pool, and comprehensively evaluating the operation process parameters to obtain garbage pool operation evaluation indexes;
The garbage pool scheme matching module is used for matching to obtain a control scheme corresponding to the garbage pool according to the operation evaluation index of the garbage pool and carrying out corresponding control;
The garbage pool information bin is used for storing the operability of the garbage pool corresponding to each garbage storage effect index interval, the microorganism change content corresponding to each garbage odor difference grade, the feeding uniformity corresponding to each garbage difference total volume interval, the control scheme corresponding to each garbage pool operation evaluation index interval, the feeding defining speed corresponding to the garbage storage effect index interval to be detected and the feeding reference uniformity.
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| 谷占军: "生活垃圾焚烧发电厂垃圾池管理研究", 《能源与环境》, vol. 1, no. 3, 29 June 2022 (2022-06-29) * |
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