Garbage feeding device for incineration power generation and adjusting method

Abstract

The invention relates to the technical field of garbage feeding control, in particular to a garbage feeding device for incineration power generation and an adjusting method. Garbage water content characteristics are analyzed through leachate flow time sequence data, density characteristics are quantified in combination with load coefficients, combustion characteristics are represented through carbon monoxide concentration changes, and a leachate characteristic coefficient, density characteristic coefficient and combustion characteristic coefficient three-dimensional index system is constructed. A clustering algorithm is adopted to carry out mode recognition on garbage grabbing operation, and clustering clusters with similar combustion characteristics are formed. In a cluster to which current garbage grabbing operation belongs, parameters of a feeding speed and a shake-off speed are dynamically optimized based on carbon monoxide concentration distribution characteristics, and a traditional fixed control mode is replaced. According to the method, intelligent matching of garbage component changes and process parameters is achieved, the combustion process is optimized through leachate management, pile compaction degree and the like, and garbage combustion sufficiency is remarkably improved.

Description

Technical Field

[0001] The present invention relates to the technical field of garbage feeding control, and particularly relates to a garbage feeding device and an adjustment method for incineration power generation. Background Art

[0002] Municipal domestic garbage is solid waste generated by humans in daily life, including community garbage, garbage in public places, and garbage from schools, institutions, etc. The garbage incineration treatment method is to burn the garbage at a high temperature in an incinerator and convert the thermal energy contained in the high-temperature flue gas generated during the incineration process into electric energy, which can achieve the resource utilization of garbage incineration.

[0003] When the existing devices and technologies burn garbage, they usually control the garbage incineration process with preset fixed operating parameters (garbage feeding speed and shaking-off speed); however, incomplete combustion of garbage will affect the recycling of resources, and will also cause an increase in the concentration of harmful substances. Moreover, the composition of garbage is complex, and parameters such as water content and density of different types of garbage will vary greatly. Therefore, if fixed operating parameters are used to control the garbage incineration process, problems such as unstable calorific value and incomplete combustion will occur. Summary of the Invention

[0004] In order to solve the technical problems that incomplete combustion of garbage will affect the recycling of resources, and will also cause an increase in the concentration of harmful substances. Moreover, the composition of garbage is complex, and parameters such as water content and density of different types of garbage will vary greatly. Therefore, if fixed operating parameters are used to control the garbage incineration process, problems such as unstable calorific value and incomplete combustion will occur, the object of the present invention is to provide a garbage feeding device and an adjustment method for incineration power generation, and the specific technical solutions adopted are as follows: An adjustment method for a garbage feeding device for incineration power generation, comprising: In each garbage dumping batch, obtain the time series data of the garbage leachate flow rate, the load factor corresponding to each garbage grab, and the time series data of the carbon monoxide concentration; the garbage grab includes historical grabs and current grabs; Analyze the numerical change characteristics and cumulative effects of the leachate flow rate values to determine the leachate characteristic value of each garbage dumping batch; combine the change characteristics of the leachate flow rate values of each garbage dumping batch over time with the load factor at each garbage grab to determine the garbage density characteristic value at each garbage grab; analyze the numerical change characteristics and cumulative effects of the carbon monoxide concentration values to determine the carbon monoxide characteristic value at each garbage grab; Based on the leachate characteristic value, the garbage density characteristic value, and the carbon monoxide characteristic value, perform a clustering analysis on the number of garbage grabs to obtain clustering clusters; comprehensively consider the numerical characteristics and distribution of the historical carbon monoxide concentration values in the clustering cluster to which the current grab belongs, and control the feeding speed and shaking-off speed of the garbage in the current grab.

[0005] Further, the method for obtaining the leachate characteristic value includes: In the time-series data of the garbage leachate flow rate, take the difference between the maximum leachate flow rate value and the leachate flow rate value at the first moment as the leachate increase index; Perform normalization on the value obtained by performing definite integral calculation on the curve of the time-series data of the garbage leachate flow rate for each garbage dumping batch in terms of time to obtain the total leachate index; Take the normalized value of the sum of the leachate increase index and the total leachate index as the leachate characteristic value for each garbage dumping batch.

[0006] Further, the method for obtaining the garbage density characteristic value includes: In the time-series data of the garbage leachate flow rate for each garbage dumping batch, intercept the leachate flow rate value at the corresponding time period for each garbage grab to obtain the target data segment; In the target data segment, perform a negative correlation mapping on the ratio of the absolute value of the difference between the maximum leachate flow rate value and the leachate flow rate value at the first moment to the length of the target data segment to obtain the density factor for each garbage grab; Take the normalized value of the product of the density factor for each garbage grab and the load coefficient as the garbage density characteristic value for each garbage grab.

[0007] Further, the method for obtaining the carbon monoxide characteristic value includes: In the time-series data of the carbon monoxide concentration at each historical grab, take the difference between the maximum carbon monoxide concentration value and the carbon monoxide concentration value at the first moment as the carbon monoxide concentration increase index; Perform normalization on the value obtained by performing definite integral calculation on the curve of the time-series data of the carbon monoxide concentration at each historical grab in terms of time to obtain the total carbon monoxide concentration index; Take the normalized value of the product of the carbon monoxide concentration increase index and the total carbon monoxide concentration index as the carbon monoxide characteristic value at each historical grab; The carbon monoxide characteristic value at the current grab is a preset value.

[0008] Further, the method for obtaining the clustering clusters includes: Determine the feature vector for each garbage grab based on the leachate characteristic value of each garbage dumping batch, the garbage density characteristic value at each garbage grab, and the carbon monoxide characteristic value. Calculate the cosine similarity between the feature vectors of any two garbage grabs and perform a negative correlation mapping process to obtain the difference factor. Based on the difference factor between the feature vectors at the time of garbage grabs and the preset K value, use the K-means clustering algorithm to perform clustering analysis on all garbage grab times to obtain clustering clusters, where the optimal K value is obtained based on the elbow method as the preset K value.

[0009] Further, the method for obtaining the feature vector includes: Combine the garbage density characteristic value, the carbon monoxide characteristic value at each garbage grab, and the leachate characteristic value of the garbage dumping batch to which each garbage grab belongs to form the feature vector at each garbage grab.

[0010] Further, controlling the feeding speed and shaking-off speed of the garbage at the current grab by integrating the numerical characteristics and distribution of the historical carbon monoxide concentration values in the clustering cluster to which the current grab belongs includes: Integrate the numerical characteristics and distribution of the historical carbon monoxide concentration values in the clustering cluster to which the current grab belongs to determine the regulation coefficient. Use the value after negative correlation mapping of the regulation coefficient as the feeding adjustment factor, and use the product of the feeding adjustment factor and the preset feeding speed as the adjusted feeding speed at the current grab. Adjust the preset shaking-off speed using the regulation coefficient to obtain the adjusted shaking-off speed at the current grab.

[0011] Further, the method for obtaining the regulation coefficient includes: In the clustering cluster to which the current grab belongs, use the mean of the maximum values of the carbon monoxide concentration in all historical carbon monoxide concentration time series data as the first regulation factor. Normalize the kurtosis value of the maximum value of the carbon monoxide concentration in all historical carbon monoxide concentration time series data to obtain the second regulation factor. Obtain the fitting line of the first preset number of carbon monoxide concentration values in the time series of each historical carbon monoxide concentration time series data in the clustering cluster to which the current grab belongs, and use the value after normalizing the slope value of the fitting line as the second regulation factor. Use the value obtained by normalizing the product of the first regulation factor, the second regulation factor, and the third regulation factor, and the sum value with the preset parameter as the regulation coefficient, where the preset parameter is set to 0.5.

[0012] Further, the method for obtaining the adjusted shaking-off speed includes: Taking the value obtained by performing negative correlation mapping on the regulation coefficient as the shaking-off adjustment factor, and taking the product of the shaking-off adjustment factor and the preset shaking-off speed as the adjusted shaking-off speed during the current grasping.

[0013] A garbage feeding device for incineration power generation at least includes a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it implements the steps of the method for adjusting the garbage feeding device for incineration power generation.

[0014] The present invention has the following beneficial effects: Different types of garbage have different characteristics. Therefore, in each garbage dumping batch, analyze the water content and combustion situation of the garbage, etc., analyze the characteristics of the garbage in each garbage dumping batch, so as to perform adaptive and precise control on the feeding speed and shaking-off speed of the garbage. First, obtain the time-series data of the leachate flow rate in each garbage dumping batch to reflect the water content of the garbage, obtain the load coefficient corresponding to each garbage grasping and the time-series data of the carbon monoxide concentration. The load coefficient is used to reflect the density characteristics, and the carbon monoxide concentration is used to reflect the combustion situation. Further, by analyzing the change characteristics and cumulative effect of the leachate flow rate value, the water content characteristics of the garbage dumping batch can be quantified; through the fusion analysis of the leachate flow rate time-series data and the load coefficient, the garbage density characteristics at each garbage grasping can be quantified; by analyzing the numerical change characteristics and cumulative effect of the carbon monoxide concentration value, the combustion characteristics at each garbage grasping can be quantified; then, clustering the number of garbage grasps based on the indexes representing the above three characteristics can make the number of garbage grasps in each clustering cluster have relatively consistent garbage characteristics. Finally, when the garbage combustion is insufficient, the feeding speed and the shaking-off speed should be reduced to enable sufficient combustion. Therefore, a control strategy is adaptively generated based on the carbon monoxide concentration distribution characteristics under the historical grasping times in the clustering cluster to which the current grasping belongs, and the feeding speed and the shaking-off speed of the garbage under the current grasping are adjusted, replacing the traditional control mode with fixed operation parameters, enabling the garbage feeding device to autonomously adapt to the change of the garbage composition, and effectively improving the sufficiency of garbage combustion. Description of the Drawings

[0015] In order to more clearly illustrate the technical solutions and advantages in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required to be used in the description of the embodiments or the prior art. Obviously, the following drawings are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can be obtained according to these drawings.

[0016] Figure 1The overall structure diagram of a garbage feeding device for incineration power generation provided by an embodiment of the present invention; Figure 2 The method flow chart of a method for adjusting a garbage feeding device for incineration power generation provided by an embodiment of the present invention; Figure 3 The method flow chart of a method for obtaining a clustering cluster provided by an embodiment of the present invention; Figure 4 The process flow chart of a control process provided by an embodiment of the present invention; Reference numerals: 1 - garbage grab; 2 - dumping port; 3 - dumping platform; 4 - garbage storage pool; 5 - leachate collection pool; 6 - piston push rod; 7 - garbage temporary storage platform; 8 - reciprocating connecting rod; 9 - L-shaped piston push head; 10 - air inlet module; 11 - air valve; 12 - slag outlet; 13 - ventilation nozzle; 14 - reciprocating grate; 15 - garbage hopper; 16 - flue outlet; 17 - evaporator; 18 - generator set; 19 - flow monitor; 20 - electrochemical sensor; 21 - control module. Detailed implementation manners

[0017] In order to further elaborate on the technical means and effects adopted by the present invention to achieve the predetermined invention purpose, the following combines the drawings and preferred embodiments to detail the specific implementation manners, structures, features and effects of a garbage feeding device and an adjustment method for incineration power generation proposed according to the present invention. In the following description, different "one embodiment" or "another embodiment" do not necessarily refer to the same embodiment. In addition, the specific features, structures or characteristics in one or more embodiments can be combined in any suitable form.

[0018] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by those skilled in the technical field to which the present invention belongs.

[0019] The following specifically describes the specific solutions of a garbage feeding device and an adjustment method for incineration power generation provided by the present invention with reference to the drawings.

[0020] Please refer to Figure 1 , which shows the overall structure diagram of a garbage feeding device for incineration power generation provided by an embodiment of the present invention.

[0021] The working process of the garbage feeding device for incineration power generation is briefly described as follows: The garbage truck stops at the dumping platform 3, and dumps the garbage into the garbage storage pool 4 from the dumping port 2. The garbage in the garbage storage pool 4 is separated into dry and wet components, and the leachate therein enters the leachate collection pool 5. A flow monitor 19 is installed in the leachate collection pool 5 to obtain the time-series data of the garbage leachate flow. The garbage grab 1 grabs the drained garbage into the garbage hopper 15. Each time the garbage grab 1 grabs the garbage, the load power is recorded. The garbage falls from the garbage hopper 15 onto the garbage temporary storage platform 7. The piston push rod 6 pushes the garbage on the garbage temporary storage platform 7 onto the reciprocating grate 14. At the same time, the L-shaped piston push head 9 connected to the piston push rod 6 closes the garbage hopper 15 to prevent the garbage in the garbage hopper 15 from falling into the connection between the L-shaped piston push head 9 and the piston push rod 6. After the garbage falls onto the reciprocating grate 14, the air inlet module 10 supplies air, the air valve 11 opens, and air is sprayed onto the reciprocating grate 14 through the ventilation nozzle 13 to provide the oxygen required for the combustion of the garbage on the reciprocating grate 14. After the garbage burns on the reciprocating grate 14, the reciprocating connecting rod 8 drives the reciprocating grate 14 to move, shaking the garbage down to the slag outlet 12. The hot air generated by the combustion heats the evaporator 17, and the high-temperature steam generated enters the turbine generator set in the power generation unit 18 to generate electricity. The air cooled by the evaporator 17 is discharged from the flue outlet 16. An electrochemical sensor 20 is installed in the flue outlet 16 to obtain the time-series data of the carbon monoxide concentration.

[0022] Since the water in the garbage needs to be drained before incineration, in each garbage dumping batch, after the garbage is poured into the garbage storage pool 4 from the dumping port 2, it needs to wait for a period of time before the garbage grab 1 sends the garbage into the garbage hopper 15. Therefore, starting from the garbage dumping, the flow monitor 19 records the leachate flow value at each moment (each moment in the embodiment of the present invention is every second). Furthermore, since the garbage hopper 15 is used to receive the garbage falling from the garbage grab 1, it does not have the effect of storing a large amount of garbage, and if the garbage on the garbage temporary storage platform 7 is not promptly pushed into the reciprocating grate 14 by the piston push rod 6 and the next grab is directly carried out, it will cause problems such as the piston push rod 6 being blocked by the garbage and the garbage hopper 15 being clogged. Therefore, one push of the piston push rod 6 corresponds to one grab of the garbage grab 1. Therefore, the normalized value of the load power when the garbage grab 1 grabs the garbage each time is used as the load coefficient when the garbage is grabbed each time. During the period between every two adjacent garbage grabs, the time-series data of the carbon monoxide concentration obtained by the electrochemical sensor 20 is used as the time-series data of the carbon monoxide concentration corresponding to the latter garbage grab in the two adjacent garbage grabs. It should be noted that the time-series data of the carbon monoxide concentration at the first garbage grab is set as the time-series data of the carbon monoxide concentration during the period from the start of the garbage dumping to the first garbage grab; and the garbage grabs are divided into historical grabs and current grabs.

[0023] A control module 21 is also provided on the garbage feeding device for incineration power generation. The control module 21 includes a memory, a processor, and a computer program (not shown in the figure) stored in the memory and executable on the processor. The control module 21 can control the pushing speed of the piston push rod 6 and the shaking speed of the reciprocating grate 14 during the current grasping based on the time-series data of the garbage leachate flow rate, the load factor during garbage grasping, and the time-series data of the carbon monoxide concentration, so as to implement the steps in a method for adjusting a garbage feeding device for incineration power generation.

[0024] Please refer to Figure 2 , which shows a method flow chart of a method for adjusting a garbage feeding device for incineration power generation in an embodiment of the present invention. The method includes the following steps: Step S1: In each garbage dumping batch, obtain the time-series data of the garbage leachate flow rate, the load factor corresponding to each garbage grasping, and the time-series data of the carbon monoxide concentration; garbage grasping includes historical grasping and current grasping.

[0025] Municipal solid waste shows obvious classification characteristics. For example, waste generated from residential life, commercial activities, government offices, etc., industrial waste, etc. Domestic waste is collected by garbage trucks along the streets, mainly paper, plastic, and kitchen waste, which contains more moisture. When the waste enters the garbage dump pool, more leachate will be collected; commercial activities use banners, decorative fabrics, etc., mostly high-density composite materials, which have a higher calorific value and are prone to incomplete combustion when burned; the waste generated by offices is mainly paper, which is easy to burn and has a high calorific value; industrial waste often contains a large amount of non-combustible substances, such as waste ceramics, glass, metals, etc., which have a lower calorific value when burned.

[0026] Therefore, in each garbage dumping batch, the time-series data of the garbage leachate flow rate from the start of garbage dumping to the current moment can be obtained through the flow monitor 19. During this period, there will be multiple garbage graspings. The time-series data of the carbon monoxide concentration corresponding to each garbage grasping can be obtained by using the electrochemical sensor 20. At the same time, each garbage grasping will also correspond to a load factor.

[0027] In each garbage dumping batch, garbage grasping includes historical grasping and current grasping. In this embodiment of the present invention, based on the time-series data of the garbage leachate flow rate in the garbage dumping batch, the carbon monoxide concentration time-series data and load factor corresponding to each garbage grasping, the characteristics of the garbage are analyzed, so as to control the feeding speed and shaking speed of the garbage during the current garbage grasping, for improving the combustion sufficiency of the garbage.

[0028] It should be noted that the acquisition frequency of the time-series data is once per second. In other embodiments of the present invention, the acquisition frequency can also be adjusted according to the implementation scenario, which is not limited here.

[0029] Step S2: Analyze the numerical change characteristics and cumulative effect of the leachate flow value, and determine the leachate characteristic value of each garbage dumping batch; combine the change characteristics of the leachate flow value of each garbage dumping batch over time with the load factor at each garbage grasping time to determine the garbage density characteristic value at each garbage grasping time; analyze the numerical change characteristics and cumulative effect of the carbon monoxide concentration value, and determine the carbon monoxide characteristic value at each garbage grasping time.

[0030] In the embodiment of the present invention, it is considered that the types of the same batch of garbage delivered are roughly fixed. Therefore, parameters such as the feeding speed of the subsequent garbage to be incinerated can be regulated based on the characteristic conditions during the combustion of the garbage. Since the obtained is the time-series data of the leachate flow from the start of dumping the same batch of garbage to the current moment, analyzing the change characteristics and cumulative effect of the leachate flow value of this batch of garbage can reflect the physical and chemical properties of this batch of garbage, such as water content, organic matter content, etc., and quantify them as leachate characteristic values, which are used as an index to characterize the garbage characteristics.

[0031] Preferably, in an embodiment of the present invention, the method for obtaining the leachate characteristic value includes: The content of water in the garbage is reflected in the flow rate increase and total flow of the garbage leachate. Therefore, in the time-series data of the garbage leachate flow, the difference between the maximum leachate flow value and the leachate flow value at the first moment is used as the leachate increase index. The larger the leachate increase index, the greater the water content in the garbage.

[0032] Then analyze the total flow of the leachate. In this embodiment of the present invention, using the idea of definite integral, the value obtained by performing definite integral calculation on the curve of the time-series data of the garbage leachate flow of each garbage dumping batch over time is normalized to obtain the leachate total amount index. The upper limit of the definite integral is the current moment, and the lower limit is the initial moment (that is, the 0 moment). The normalization here can be performed using the time length, that is, dividing the value obtained by the definite integral calculation by the time length. The larger the leachate total amount index, it also indicates that the water content in the garbage is higher.

[0033] In view of the fact that both the leachate increase index and the leachate total amount index are positively correlated with the water content of the garbage, the value obtained by normalizing the sum value of the leachate increase index and the leachate total amount index is used as the leachate characteristic value of each garbage dumping batch. Based on the foregoing analysis, the larger the leachate characteristic value, the greater the water content of the garbage. At this time, the leachate characteristic value is used as an index to characterize the water content characteristic of the garbage. The normalization is a well-known technical means for those skilled in the art. The choice of the normalization function can be linear normalization or standard normalization, etc. The specific normalization method is not limited here.

[0034] Furthermore, due to the different densities and volumes of the garbage, the larger the volume of the garbage, the larger the pores, and the lower the density (after draining), the larger the gaps between them, and the easier the moisture is to drain out. Therefore, the growth rate of the leachate flow rate is higher, and the density also affects the load power of the subsequent garbage grab 1. Therefore, by combining the change characteristics of the leachate flow rate value in each garbage dumping batch over time with the load coefficient during each garbage grab, the garbage density characteristic value during each garbage grab is determined, which is also used as an index to reflect the characteristics of the garbage.

[0035] Preferably, in an embodiment of the present invention, the method for obtaining the garbage density characteristic value includes: In the time series data of the garbage leachate flow rate in each garbage dumping batch, the garbage leachate flow rate values corresponding to the time period during each garbage grab are intercepted to obtain a target data segment. In this embodiment of the present invention, the time period corresponding to each garbage grab is also the time period corresponding to its carbon monoxide concentration time series data.

[0036] The reason for intercepting the target data segment is to perform space-time alignment, that is, to precisely bind the physical operation (grabbing) and the garbage leachate response (flow rate change) on the time axis.

[0037] Then, in the target data segment, calculate the ratio of the absolute value of the difference between the maximum leachate flow rate value and the garbage leachate flow rate value at the first moment to the length of the target data segment. This ratio represents the maximum change rate of the leachate flow rate value. The larger the value, the greater the response intensity of the leachate flow rate value, the higher the water content, the larger the porosity, and the smaller the density. Therefore, perform a negative correlation mapping process on this ratio to correct the logical relationship, thereby obtaining the density factor during each garbage grab. At this time, the larger the density factor, the smaller the porosity and the higher the density of the garbage. The negative correlation mapping here can use the formula , where represents the exponential function with the natural constant e as the base, and x represents the independent variable.

[0038] The load coefficient can reflect the weight or volume of the garbage during each garbage grab, and can be used for mass compensation. Moreover, the larger the load coefficient, the greater the influence on the density factor, which is regarded as the greater the degree of compaction of the garbage, the smaller the pores, and the larger the density.

[0039] Finally, the normalized value of the product of the density factor and the load coefficient during each garbage grab is used as the garbage density characteristic value during each garbage grab. Based on the foregoing analysis, the larger the garbage density characteristic value, the lower the porosity and the higher the density of the garbage. At this time, the garbage density characteristic value is used as an index to characterize the garbage density characteristic. The normalization is a well-known technical means in the art, and the selection of the normalization function can be linear normalization or standard normalization, etc. The specific normalization method is not limited here.

[0040] Furthermore, each garbage grasping corresponds to a push of the piston push rod 6 and corresponds to a time series data of carbon monoxide concentration. When the garbage is pushed from the garbage temporary storage platform 7 onto the reciprocating grate 14, when approaching complete combustion, the content of carbon monoxide will maintain at a very low value. When there is incomplete combustion, the concentration of carbon monoxide will increase, and the amplitude and concentration of the increase in carbon monoxide concentration can show its characteristics. Therefore, the numerical change and cumulative effect of the carbon monoxide concentration value can be analyzed to determine the carbon monoxide characteristic value for each garbage grasping.

[0041] Preferably, in an embodiment of the present invention, the method for obtaining the carbon monoxide characteristic value includes: The combustion characteristics of the garbage can be characterized by the increase amplitude and total concentration of the carbon monoxide concentration value. Garbage grasping is divided into historical grasping and current grasping. In view of the fact that there is no corresponding time series data of carbon monoxide concentration for the current grasping, so first analyze the time series data of carbon monoxide concentration for historical grasping.

[0042] In the time series data of carbon monoxide concentration for each historical grasping, take the difference between the maximum carbon monoxide concentration value and the carbon monoxide concentration value at the first moment as the carbon monoxide concentration increase amplitude index. The larger the carbon monoxide concentration increase amplitude index, the greater the degree of increase in carbon monoxide concentration, indicating that there are more undegraded substances inside the garbage and the combustion is not sufficient.

[0043] Then analyze the total amount of carbon monoxide concentration value. After performing definite integral calculation on the curve of the time series data of carbon monoxide concentration for each historical grasping in terms of time and normalizing the obtained value, obtain the carbon monoxide concentration total amount index. The upper limit of the definite integral is the last moment of the time series data of carbon monoxide concentration, and the lower limit is the first moment of the time series data of carbon monoxide concentration. Here, the normalization can also be performed using the time length, that is, divide the value obtained by definite integral calculation by the time length. The larger the carbon monoxide concentration total amount index, it also indicates that the garbage combustion is less sufficient.

[0044] Finally, take the value obtained by normalizing the product of the carbon monoxide concentration increase amplitude index and the carbon monoxide concentration total amount index as the carbon monoxide characteristic value for each historical grasping; based on the foregoing analysis, it can be seen that the larger the carbon monoxide characteristic value, the less sufficient the garbage combustion. At this time, the carbon monoxide characteristic value is used as an index to characterize the garbage combustion characteristics. The normalization is a well-known technical means to those skilled in the art. The choice of the normalization function can be linear normalization or standard normalization, etc. The specific normalization method is not limited herein.

[0045] It should be noted that the carbon monoxide characteristic value for the current grasping is a preset value. In this embodiment of the present invention, in view of the fact that there is no time series data of carbon monoxide concentration for the current grasping, so the preset value is 0.

[0046] So far, in this step, by analyzing the time series data of the leachate flow rate, the load factor, and the time series data of the carbon monoxide concentration, three indicators characterizing the garbage characteristics (water content, density, and combustion characteristics) can be obtained, namely the leachate characteristic value, the garbage density characteristic value, and the carbon monoxide characteristic value.

[0047] Step S3: Based on the leachate characteristic value, the garbage density characteristic value, and the carbon monoxide characteristic value, perform clustering analysis on the garbage grabbing times to obtain clustering clusters; comprehensively consider the numerical characteristics and distribution of the historical carbon monoxide concentration values in the clustering cluster to which the current grabbing times belong, and control the feeding speed and shaking-off speed of the garbage during the current grabbing.

[0048] The incineration characteristics of the same batch of garbage are similar. However, when incinerating garbage, in order to improve the sufficiency of garbage combustion, the clustering analysis can be performed on the garbage grabbing times using the characteristics of the garbage, so as to classify the same batch of garbage more carefully, and then improve the more accurate control of the feeding speed and shaking-off speed of the garbage during the current grabbing, thereby reducing the occurrence probability of problems such as unstable calorific value and incomplete combustion during garbage incineration.

[0049] In view of the fact that the three indicators describing the garbage characteristics have been obtained in the foregoing steps, the clustering analysis can be performed on the garbage grabbing times through the leachate characteristic value, the garbage density characteristic value, and the carbon monoxide characteristic value to obtain clustering clusters.

[0050] Preferably, in an embodiment of the present invention, the method for obtaining the clustering clusters includes: Please refer to Figure 3 , which shows the method flow chart of the method for obtaining the clustering clusters in an embodiment of the present invention. The method includes the following steps: Step S301: Based on the leachate characteristic value of each garbage dumping batch, the garbage density characteristic value at each garbage grabbing time, and the carbon monoxide characteristic value, determine the feature vector at each garbage grabbing time.

[0051] The garbage density characteristic value, the carbon monoxide characteristic value corresponding to each garbage grabbing time, and the leachate characteristic value of the garbage dumping batch to which each garbage grabbing belongs are combined to form the feature vector at each garbage grabbing time.

[0052] Step S302: Based on the similarity between the feature vectors at any two garbage grabbing times, determine the difference factor.

[0053] Calculate the cosine similarity between the feature vectors during any two garbage grabs. The value range of the cosine similarity is -1 to 1. The larger the value, the higher the similarity. On the contrary, the smaller the value, the lower the similarity. For the convenience of subsequent calculations, the cosine similarity is processed by negative correlation mapping here to make its values all non-negative numbers, obtaining a difference factor. At this time, the larger the difference factor, the lower the similarity degree between the feature vectors during the two garbage grabs. The negative correlation mapping process here can adopt the formula , where x represents the independent variable.

[0054] Step S303: Perform clustering analysis on all garbage grab times based on the difference factor to obtain clustering clusters.

[0055] Based on the difference factor between the feature vectors during garbage grabs and the preset K value, use the K-means clustering algorithm to perform clustering analysis on all garbage grab times to obtain clustering clusters, where the optimal K value is obtained based on the elbow method as the preset K value. It should be noted that both the elbow method and the K-means clustering algorithm are well-known technologies, and the specific process will not be elaborated here.

[0056] So far, all garbage grab times can be subjected to clustering analysis to obtain all clustering clusters, and the characteristics of the garbage grabbed in each clustering cluster have higher consistency.

[0057] For each push of the piston push rod 6 during the garbage incineration of the same batch, by analyzing the characteristics of carbon monoxide during combustion, the feeding speed of the garbage and the shaking speed of the garbage can be effectively adjusted; for example, if the carbon monoxide concentration rises sharply, it indicates that the feeding is too fast and the amount of combustion gas is insufficient. When the carbon monoxide concentration is too high, the pushing speed of the piston push rod 6 needs to be slowed down to inhibit the feeding speed, and the reciprocating speed of the reciprocating grate 14 is slowed down, so as to increase the residence time of the garbage on the reciprocating grate 14 and enable it to burn fully; and, if it is necessary to control the feeding speed and shaking speed of the garbage during the feeding process of the current garbage grab, the numerical characteristics and distribution of the carbon monoxide concentration values in the historical grabs with the same garbage characteristics as the current garbage grab can be analyzed, so as to realize the adjustment and control of the feeding speed and shaking speed of the current grab.

[0058] Preferably, in an embodiment of the present invention, based on the numerical characteristics and distribution of the historical carbon monoxide concentration values in the clustering cluster to which the current grab belongs, the feeding speed and shaking speed of the garbage in the current grab are controlled, including: Please refer to Figure 4 , which shows the process flow chart of the control process in an embodiment of the present invention. The control process includes the following steps: Step S311: Determine the regulation coefficient by synthesizing the numerical characteristics and distribution of the historical carbon monoxide concentration values captured in the cluster to which the current capture count belongs.

[0059] Based on the foregoing analysis, it can be seen that the larger the carbon monoxide concentration value, the less complete the combustion, and the more necessary it is to adjust the feeding speed and the shaking-off speed. Therefore, in the cluster to which the current capture count belongs, select the maximum value in the time series data of the carbon monoxide concentration captured in each history, and take the average value of the maximum values of the carbon monoxide concentration in all the historical time series data of the carbon monoxide concentration captured as the first regulation factor. The larger the first regulation factor, the less complete the waste combustion.

[0060] Then calculate the kurtosis value of the maximum value of the carbon monoxide concentration in all the historical time series data of the carbon monoxide concentration captured, and normalize the kurtosis value to obtain the second regulation factor. The kurtosis value is used to represent the degree of data aggregation. The larger the value, the higher the degree of aggregation. Therefore, the larger the kurtosis value, the larger the second regulation factor, indicating that the characteristics represented by carbon monoxide during waste incineration in this cluster are more single and obvious.

[0061] Obtain the fitting line of the first preset number of carbon monoxide concentration values in the time series of each historical carbon monoxide concentration captured in the cluster to which the current capture count belongs, and take the value obtained by normalizing the slope value of the fitting line as the second regulation factor. The larger the slope value of the fitting line, the more likely it is that the concentration of carbon monoxide will show an upward trend at the initial stage of combustion, that is, the waste will not burn completely at the initial stage of combustion, so more regulation is needed.

[0062] Finally, normalize the product of the first regulation factor, the second regulation factor, and the third regulation factor to obtain the regulation parameter. The value range of the regulation parameter is 0 to 1. In this embodiment of the present invention, the sum of the regulation parameter and the preset parameter is used as the regulation coefficient. Among them, the preset parameter is set to 0.5. At this time, the value range of the regulation coefficient is 0.5 to 1.5. When the regulation coefficient is 1, it is considered that the degree of complete combustion of the waste is in an intermediate state, and the subsequent regulation of the feeding speed and the shaking-off speed is appropriate. And the larger the regulation coefficient, the less complete the waste combustion.

[0063] It should be noted that the method for obtaining the fitting line can use the least squares method, which is a well-known technology, and the specific process will not be elaborated here; in this embodiment of the present invention, the preset first number is 20, and the specific value can be adjusted according to the implementation scenario and will not be limited here. Step S312: Adjust the preset feeding speed by using the regulation coefficient to obtain the adjusted feeding speed at the current capture.

[0064] The larger the regulation coefficient is, the lower the sufficiency of garbage combustion. Then, it is necessary to reduce the feeding speed. Therefore, the value after the negative correlation mapping of the regulation coefficient is used as the feeding adjustment factor. In this embodiment of the present invention, considering that the value range of the regulation coefficient is 0.5 to 1.5, the negative correlation mapping here adopts the formula , where x represents the independent variable, and the purpose of using the number 2 is to prevent over-adjustment from occurring subsequently.

[0065] If the regulation coefficient is greater than 1, then it is necessary to reduce the feeding speed. The value range of the feeding adjustment factor after the negative correlation mapping is between 0.5 and 1. The greater the degree that the regulation coefficient is greater than 1, the greater the degree of reduction of the feeding speed, and the closer the value of the feeding adjustment factor is to 0.5; on the contrary, if the regulation coefficient is less than 1, then the feeding speed can be appropriately increased. The value range of the feeding adjustment factor after the negative correlation mapping is between 1 and 1.5. The greater the degree that the regulation coefficient is less than 1, the greater the degree of increase of the feeding speed, and the closer the value of the feeding adjustment factor is to 1.5; Therefore, finally, the product of the feeding adjustment factor and the preset feeding speed is used as the adjusted feeding speed during the current grasping. At this time, the adjusted feeding speed will be more suitable for the garbage characteristics during the current garbage grasping, thereby effectively improving the combustion sufficiency.

[0066] Step S313: Adjust the preset shaking-off speed by using the regulation coefficient, so as to obtain the adjusted shaking-off speed during the current grasping.

[0067] The larger the regulation coefficient is, the lower the sufficiency of garbage combustion. Then, it is necessary to reduce the shaking-off speed to increase the combustion time of the garbage on the reciprocating grate 14. Therefore, similarly, the value after the negative correlation mapping of the regulation coefficient is used as the shaking-off adjustment factor. In this embodiment of the present invention, considering that the value range of the regulation coefficient is 0.5 to 1.5, the negative correlation mapping here still adopts the formula , where x represents the independent variable, and the purpose of using the number 2 is to prevent over-adjustment from occurring subsequently. At this time, if the regulation coefficient is greater than 1, then it is necessary to reduce the shaking-off speed. The value range of the shaking-off adjustment factor after the negative correlation mapping is between 0.5 and 1. The greater the degree that the regulation coefficient is greater than 1, the greater the degree of reduction of the shaking-off speed, and the closer the value of the shaking-off adjustment factor is to 0.5; on the contrary, if the regulation coefficient is less than 1, then the shaking-off speed can be appropriately increased to increase the combustion efficiency. The value range of the shaking-off adjustment factor after the negative correlation mapping is between 1 and 1.5. The greater the degree that the regulation coefficient is less than 1, the greater the degree of increase of the shaking-off speed, and the closer the value of the shaking-off adjustment factor is to 1.5; Therefore, finally, the product of the shaking-off adjustment factor and the preset shaking-off speed is used as the adjusted shaking-off speed during the current grasping. At this time, the adjusted shaking-off speed will be more suitable for the garbage characteristics during the current garbage grasping, thereby effectively improving the combustion sufficiency.

[0068] It should be noted that the preset feeding speed and the preset shaking-off speed can both be obtained according to the implementation scenario, and specific values are not exemplified here.

[0069] In summary, different types of garbage have different characteristics. Therefore, in each garbage dumping batch, analyze the water content and combustion conditions of the garbage, etc., analyze the characteristics of the garbage in each garbage dumping batch, so as to perform adaptive and precise control over the feeding speed and shaking-off speed of the garbage. First, obtain the time series data of the leachate flow rate in each garbage dumping batch to reflect the water content of the garbage, and obtain the load factor and the time series data of carbon monoxide concentration corresponding to each garbage grab. The load factor is used to reflect the density characteristics, and the carbon monoxide concentration is used to reflect the combustion conditions. Further, by analyzing the change characteristics and cumulative effects of the leachate flow rate values, the water content characteristics of the garbage dumping batch can be quantified; through the fusion analysis of the leachate flow rate time series data and the load factor, the garbage density characteristics at each garbage grab can be quantified; by analyzing the numerical change characteristics and cumulative effects of the carbon monoxide concentration values, the combustion characteristics at each garbage grab can be quantified; then, clustering the number of garbage grabs based on the indicators characterizing the above three characteristics can make the number of garbage grabs in each clustering cluster have relatively consistent garbage characteristics. Finally, when the garbage is not burned sufficiently, the feeding speed and the shaking-off speed should be reduced to enable sufficient combustion. Therefore, a control strategy is adaptively generated based on the carbon monoxide concentration distribution characteristics under the historical grab times in the clustering cluster to which the current grab belongs, and the feeding speed and the shaking-off speed of the garbage under the current grab are adjusted, replacing the traditional control mode with fixed operating parameters, enabling the garbage feeding device to autonomously adapt to the changes in the garbage composition, and effectively improving the sufficiency of garbage combustion.

[0070] It should be noted that the above sequence of the embodiments of the present invention is only for description and does not represent the superiority or inferiority of the embodiments. The processes depicted in the drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0071] Each embodiment in this specification is described in a progressive manner. For the same or similar parts among the embodiments, reference can be made to each other. Each embodiment focuses on the differences from other embodiments.

Claims

1. A method for adjusting a garbage feeding device for incineration power generation, characterized in that: The method comprises: In each garbage dumping batch, obtain the time series data of garbage leachate flow, the load factor corresponding to each garbage grab, and the time series data of carbon monoxide concentration; garbage grab includes historical grab and current grab; Analyze the numerical variation characteristics and cumulative effects of leachate flow values to determine the leachate characteristic value of each garbage dumping batch; combine the temporal variation characteristics of the leachate flow value of each garbage dumping batch with the load factor at each garbage pickup to determine the garbage density characteristic value at each garbage pickup; analyze the numerical variation characteristics and cumulative effects of carbon monoxide concentration values to determine the carbon monoxide characteristic value at each garbage pickup; Based on the characteristic values of leachate, garbage density and carbon monoxide, a cluster analysis is performed on the number of garbage grabbing times to obtain clusters; based on the numerical characteristics and distribution of the carbon monoxide concentration values of the historical grabbing times in the cluster to which the current number of grabbing times belongs, the feeding speed and shaking-off speed of the garbage under the current grabbing time are controlled.

2. A method for adjusting a garbage feeding device for incineration power generation according to claim 1, characterized in that: The method for obtaining the leachate characteristic value comprises: In the time series data of landfill leachate flow, the difference between the maximum leachate flow value and the leachate flow value at the first moment is used as the leachate increase index; The total amount of leachate is obtained by normalizing the value of the definite integral calculation of the time series data curve of the leachate flow rate of each garbage dumping batch. The normalized value of the sum of the leachate increase index and the leachate total amount index is used as the leachate characteristic value of each garbage dumping batch.

3. The method for adjusting a garbage feeding device for incineration power generation according to claim 1, characterized in that: The method for obtaining the garbage density characteristic value includes: In the time series data of the leachate flow rate of each garbage dumping batch, the leachate flow rate value in the time period corresponding to each garbage collection is intercepted to obtain the target data segment; In the target data segment, the absolute value of the difference between the maximum leachate flow rate value and the garbage leachate flow rate value at the first moment is negatively correlated with the ratio of the length of the target data segment to obtain the density factor at each garbage grab; The product of the density factor and the load coefficient at each garbage grab is normalized to a value that is used as the garbage density characteristic value at each garbage grab.

4. The method for adjusting a garbage feeding device for incineration power generation according to claim 1, characterized in that: The method for obtaining the carbon monoxide characteristic value includes: In the carbon monoxide concentration time series data at each historical capture, the difference between the maximum carbon monoxide concentration value and the carbon monoxide concentration value at the first moment is used as the carbon monoxide concentration increase index; The value of the definite integral calculation of the curve of the carbon monoxide concentration time series data at each historical capture is normalized to obtain the total carbon monoxide concentration index; The product of the carbon monoxide concentration increase index and the total carbon monoxide concentration index is normalized and used as the carbon monoxide characteristic value at each historical capture; The carbon monoxide characteristic value during the current capture is the preset value.

5. The method for adjusting a garbage feeding device for incineration power generation according to claim 1, characterized in that: The method for obtaining the clusters includes: Determine a characteristic vector for each garbage grab based on the leachate characteristic value of each garbage dumping batch, the garbage density characteristic value at each garbage grab, and the carbon monoxide characteristic value; Calculate the cosine similarity between the feature vectors of any two garbage crawls and perform negative correlation mapping as the difference factor; Based on the difference factor between the feature vectors during garbage grabbing and the preset K value, the K-means clustering algorithm is used to perform cluster analysis on all garbage grabbing times to obtain cluster clusters, wherein the optimal K value is obtained based on the elbow method as the preset K value.

6. A method for adjusting a garbage feeding device for incineration power generation according to claim 5, characterized in that: The method for obtaining the feature vector includes: The garbage density characteristic value, carbon monoxide characteristic value corresponding to each garbage grab and the leachate characteristic value of the garbage dumping batch to which each garbage grab belongs are combined to form a characteristic vector for each garbage grab.

7. The method for adjusting a garbage feeding device for incineration power generation according to claim 1, characterized in that: The numerical characteristics and distribution of the carbon monoxide concentration values of the historical grabs in the cluster to which the current grab number belongs are comprehensively considered to control the feeding speed and shaking speed of the garbage under the current grab, including: The control coefficient is determined by comprehensively analyzing the numerical characteristics and distribution of the carbon monoxide concentration values captured in the cluster to which the current capture number belongs. The value after negative correlation mapping of the control coefficient is used as the feeding adjustment factor, and the product of the feeding adjustment factor and the preset feeding speed is used as the adjusted feeding speed during the current grabbing; The preset shaking speed is adjusted using the control coefficient, thereby obtaining the adjusted shaking speed during the current grabbing.

8. A method for adjusting a garbage feeding device for incineration power generation according to claim 7, characterized in that: The method for obtaining the control coefficient includes: In the cluster to which the current capture number belongs, the average of the maximum values of the carbon monoxide concentration in all historical captured carbon monoxide concentration time series data is used as the first control factor; Normalize the kurtosis value of the maximum value of the carbon monoxide concentration in all historical captured carbon monoxide concentration time series data to obtain the second control factor; Obtaining a fitted straight line of a first number of carbon monoxide concentration values previously preset in the time series of each historical captured carbon monoxide concentration time series data in the cluster to which the current capture number belongs, and normalizing the slope of the fitted straight line as a second control factor; The normalized value of the product of the first control factor, the second control factor, and the third control factor and the sum of the preset parameters are used as the control coefficient, where the preset parameter is set to 0.

5.

9. The method for adjusting a garbage feeding device for incineration power generation according to claim 7, characterized in that: The method for adjusting the shaking speed includes: The value after negative correlation mapping of the control coefficient is used as the shaking adjustment factor, and the product of the shaking adjustment factor and the preset shaking speed is used as the adjusted shaking speed during the current grabbing.

10. A garbage feeding device for incineration power generation, comprising at least a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the steps of the method for adjusting a garbage feeding device for incineration power generation as described in any one of claims 1 to 9 are implemented.

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