Waste incineration feeding method, system, terminal and storage medium
By detecting and processing boiler combustion images, combined with vibration, scattering and blowing devices, the garbage can be evenly spread and accurately fed into the system, solving the problem of incomplete combustion caused by uneven garbage feeding and improving the efficiency of garbage incineration treatment.
Patent Information
- Application Number
- CN202310409749.0
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2023-04-17
- Publication Date
- 2025-09-30
- Estimated Expiration
- 2043-04-17
AI Technical Summary
The garbage has a complex composition, high water content, and contains a large number of blocky incombustible materials and tangled cloth strips and wires, which leads to uneven continuous feeding of the garbage feeding device, resulting in incomplete combustion of the garbage in the boiler and low incineration efficiency.
By detecting the combustion image in the boiler, the feature image is selected, the quotient of the feeding area and the reference feeding area is calculated, the element values of the combustion RGB matrix are adjusted, the garbage category is identified and the feeding order is determined, the vibration and scattering device is used to spread the garbage evenly, the speed and order of garbage feeding are controlled, and the garbage distribution is adjusted in combination with the blowing device to achieve precise feeding.
It improves the efficiency of garbage incineration treatment, avoids incomplete combustion of garbage or waste of boiler firepower, and ensures full and continuous combustion of garbage.
Smart Images

Figure CN116447603B_ABST
Abstract
Description
Technical Field
[0001] The present application relates to the field of waste incineration technology, and in particular to a waste incineration feeding method, system, terminal and storage medium. Background Art
[0002] Garbage is solid waste generated in human daily life and production. Due to its large discharge volume, complex and diverse composition, and polluting nature, it needs to be treated harmlessly. The garbage disposal methods widely used at home and abroad today are sanitary landfill and high-temperature incineration.
[0003] Circulating fluidized bed boilers are commonly used for waste incineration. These boilers are a new generation of efficient, low-pollution, clean boilers that have been developed internationally in recent years. The waste feeder is a key component of a fluidized bed incinerator, continuously feeding waste into the boiler for incineration.
[0004] Regarding the above-mentioned related technologies, the inventors believe that: the garbage composition is complex, the water content is high, and there are a large number of block-shaped non-combustible materials and cloth strips and iron wires entangled into balls. The continuous feeding process of the garbage feeding device can easily cause uneven continuous feeding of garbage, thereby making the garbage in the boiler burn incomplete, resulting in low efficiency of garbage incineration treatment, and there is room for improvement. Summary of the Invention
[0005] In order to improve the efficiency of waste incineration treatment, the present application provides a waste incineration feeding method, system, terminal and storage medium.
[0006] In the first aspect, the present application provides a waste incineration feeding method, which adopts the following technical solution:
[0007] A waste incineration feeding method, comprising:
[0008] Get the current combustion image of the boiler;
[0009] determining a current standard combustion image according to the combustion image;
[0010] Select the characteristic image in the standard combustion image;
[0011] Determine the current feeding area based on the standard combustion image and the characteristic image;
[0012] Comparing the feeding area with a preset reference feeding area to continue acquiring a combustion image or calculating a quotient between the feeding area and the preset feeding reference, and defining the calculated quotient as a feeding coefficient;
[0013] The waste is fed into the boiler according to the feeding coefficient.
[0014] By adopting the above technical solution, the combustion image in the boiler is detected, and the characteristic image in the combustion image is framed to determine the current feeding area. When the feeding area is larger than the benchmark feeding area, it indicates that there is a lack of garbage in the boiler. Therefore, the feeding coefficient is calculated based on the feeding area and the feeding benchmark, and the garbage is fed into the boiler according to the feeding coefficient, thereby avoiding too much garbage being fed at one time, resulting in insufficient combustion of the garbage, or too little garbage being fed, resulting in low garbage incineration efficiency, thereby improving the efficiency of garbage incineration.
[0015] Optionally, the method for determining the current standard combustion image based on the combustion image includes:
[0016] Determine the current combustion RGB matrix according to the combustion image;
[0017] Comparing the element value of the combustion RGB matrix with a preset reference RGB interval to adjust the current element value to a preset RGB median value or calculate the difference between the current element value and the preset RGB median value, and defining the calculated difference as a deviation RGB value;
[0018] Based on the deviation RGB value, determine the current rising direction or the current falling direction;
[0019] Based on the rising direction, the current element value is adjusted to the preset RGB maximum value to improve the image contrast;
[0020] Based on the reduction direction, the current element value is adjusted to the preset RGB minimum value to improve the image contrast.
[0021] By adopting the above technical solution, the element values of the combustion RGB matrix are compared with the reference RGB interval. The element values falling into the reference RGB interval are adjusted to the RGB median value, the element values greater than the maximum value of the reference RGB interval are adjusted to the RGB maximum value, and the element values less than the minimum value of the reference RGB interval are adjusted to the RGB minimum value, thereby improving the contrast of the combustion image, making it easier to identify feature areas, and thus improving the accuracy of the feeding area.
[0022] Optionally, the method of feeding the indicated waste into the boiler according to the feeding coefficient includes:
[0023] Determine the current feeding amount according to the feeding coefficient;
[0024] According to the feeding amount, the garbage is directed to enter the preset feeding place and the current garbage image of the feeding place is obtained;
[0025] Determine the current garbage category based on the garbage image;
[0026] Determine the current order of waste disposal based on waste categories;
[0027] Instructs the waste to be fed into the boiler according to the current feeding sequence.
[0028] By adopting the above technical solution, garbage is transported to the feeding place according to the feeding amount, and the garbage category is determined based on the garbage image at the feeding place, and the garbage with higher ignition points and the garbage with lower ignition points are determined based on the garbage category, and the order of garbage input is determined based on the ignition points of the garbage, so that garbage with different ignition points can be fully burned, thereby improving the efficiency of garbage incineration treatment.
[0029] Optionally, before obtaining the garbage image, the method for spreading the garbage includes:
[0030] Get the current garbage status of the garbage;
[0031] Determine whether the garbage is currently loose or wrapped based on the garbage status;
[0032] Based on the scattered garbage, a preset vibration device is vibrated to instruct the scattered garbage to be evenly spread;
[0033] Based on the packaged garbage, the preset scattering device is instructed to be inserted into the packaged garbage to scatter the packaged garbage and generate scattered garbage.
[0034] By adopting the above technical solution, before obtaining the garbage image, the vibration device is controlled to vibrate the scattered garbage according to the garbage state, so that the scattered garbage is evenly spread at the feeding place, and the scattering device is controlled to scatter the wrapped garbage, so that the wrapped garbage is turned into scattered garbage, so that the garbage at the feeding place is evenly spread at the feeding place, so that the garbage image can fully capture the garbage at the feeding place, thereby improving the accuracy of identifying garbage categories based on the garbage image.
[0035] Optionally, the method of spreading the garbage also includes:
[0036] When the vibration device vibrates, a current vibration image of the feeding location is obtained;
[0037] Comparing the vibration image with a preset reference image to continue acquiring the vibration image or selecting a blank area in the vibration image;
[0038] Based on the blank area, obtain the current blank area of the blank area and the current accumulation thickness of the scattered garbage;
[0039] Determine the current amount of blank garbage based on the blank area, and determine the current maximum accumulation area based on the accumulation thickness;
[0040] The current replenishment direction is determined according to the blank area and the maximum accumulation area, and the current power value is determined according to the amount of blank garbage; according to the replenishment direction and the power value, the preset blowing device is instructed to blow the garbage in the maximum accumulation area to the blank area so that the scattered garbage is evenly spread.
[0041] By adopting the above technical solution, when the vibration device vibrates to scatter the garbage, the vibration image of the feeding place is detected. Therefore, when there is a blank area at the feeding place, the amount of blank garbage that can be supplemented in the blank area is determined according to the area of the blank area, thereby detecting the accumulation thickness of the scattered garbage, and blowing the garbage in the largest accumulation area to the blank area according to the amount of blank garbage, so that the garbage is evenly spread at the feeding place, so that the garbage image can fully capture the garbage at the feeding place, thereby improving the accuracy of identifying the garbage category based on the garbage image.
[0042] Optionally, the method of instructing the waste to be fed into the boiler according to the current feeding order includes:
[0043] Determine the current input garbage and the current garbage to be input according to the input sequence;
[0044] Determine the current input reference area based on the input garbage, and obtain the current input garbage area of the input garbage;
[0045] Compare the input garbage area with the input reference area to obtain the current area of garbage to be input or determine the current first burning time based on the input garbage and the input garbage area;
[0046] Based on the obtained area of garbage to be put in, the order of putting in is adjusted according to the area of garbage to be put in;
[0047] Based on the determined first combustion time, instruct the input garbage to be input into the boiler, update the to-be-input garbage to the input garbage, and obtain the current to-be-input garbage area of the not-updated to-be-input garbage;
[0048] Determine the current continuous input speed based on the garbage to be input and the area of the garbage to be input;
[0049] After the initial combustion time, the garbage to be fed into the boiler is fed at a continuous feeding rate to maintain the garbage combustion efficiency.
[0050] By adopting the above technical solution, when the area of the input garbage is larger than the input reference area, the preliminary combustion time of the input garbage is determined, and the input garbage is put into the boiler, so that the boiler's firepower is fully used to incinerate the input garbage. The continuous input speed is determined according to the garbage to be input and the area of the garbage to be input. After the preliminary combustion time, the garbage to be input is put into the boiler according to the continuous input speed, thereby ensuring the continuous combustion of the garbage and thereby improving the incineration treatment efficiency of the garbage.
[0051] Optionally, the method of adjusting the order of inputting garbage according to the area of the garbage to be input includes:
[0052] Determine the current baseline area to be put in based on the garbage to be put in;
[0053] Comparing the area of waste to be fed with the baseline area to be fed to indicate that the waste to be fed and the waste to be fed are fed into the boiler at the same time or determining the current mixed amount of waste to be fed based on the area of waste to be fed and the area of waste to be fed;
[0054] Based on the mixed amount, indicating that the waste to be input is mixed with the input waste according to the mixed amount to generate mixed waste, and obtaining a current mixed waste area of the mixed waste;
[0055] Determine the current mixed combustion time based on the mixed garbage and the area of the mixed garbage, and determine the current remaining amount of garbage to be put in based on the area of the garbage to be put in and the amount of mixing;
[0056] After determining the mixed combustion time, instruct the boiler to feed the mixed garbage to improve the garbage combustion efficiency, update the remaining garbage to be fed into the input garbage, and determine the current continuous feeding speed based on the remaining garbage amount and the garbage to be fed into the boiler;
[0057] After the mixed combustion time, the remaining garbage to be fed into the boiler is fed at a continuous feeding rate to maintain the garbage combustion efficiency.
[0058] By adopting the above technical solution, when the area of the input garbage is smaller than the input reference area, the area of the garbage to be input is compared with the reference area to be input, so that when the area of the input garbage is smaller than the reference area to be input, the input garbage and the garbage to be input are simultaneously put into the boiler for incineration; when the area of the garbage to be input is larger than the reference area to be input, the garbage to be input is mixed with the input garbage according to the mixing amount, so that the garbage to be input assists combustion, and the mixed combustion time and the continuous feeding speed are determined. After the mixed combustion time, the remaining garbage to be input is fed into the boiler according to the continuous feeding speed, so as to maintain continuous combustion of the garbage, thereby improving the incineration treatment efficiency of the garbage.
[0059] In a second aspect, the present application provides a waste incineration feeding system, which adopts the following technical solution:
[0060] A waste incineration feeding system, comprising:
[0061] An acquisition module is used to obtain combustion images, garbage images, garbage status, vibration images, blank areas, accumulation thickness, area of input garbage, area of garbage to be input, and area of mixed garbage;
[0062] A memory for storing a program of any one of the above waste incineration feeding methods;
[0063] The processor and the program in the memory can be loaded and executed by the processor to implement a waste incineration feeding method as described above.
[0064] By adopting the above technical solution, the processor loads and executes a program of a waste incineration feeding method stored in the memory, thereby controlling the acquisition module to obtain a series of data related to waste incineration feeding, and analyzing and processing the data, thereby controlling the order and speed of waste feeding, ensuring that the waste is fully burned, and maintaining continuous burning of the waste, thereby improving the efficiency of waste incineration treatment.
[0065] In a third aspect, the present application provides a smart terminal that adopts the following technical solution:
[0066] An intelligent terminal comprises a memory and a processor, wherein the memory stores a computer program that can be loaded by the processor and execute any of the above-mentioned waste incineration feeding methods.
[0067] By adopting the above technical solution, personnel operate the intelligent terminal, so that the intelligent terminal controls the processor to load and execute a computer program of a waste incineration feeding method stored in the memory according to personnel instructions, thereby controlling the waste feeding, reducing the personnel's operation workload, and improving the convenience of controlling the waste feeding.
[0068] In a fourth aspect, the present application provides a computer storage medium capable of storing corresponding programs, which has the characteristics of facilitating the improvement of the efficiency of waste incineration treatment, and adopts the following technical solutions:
[0069] A computer-readable storage medium stores a computer program that can be loaded by a processor and execute any of the above-mentioned waste incineration feeding methods.
[0070] By adopting the above technical solution, a computer program for a waste incineration feeding method is stored in a storage medium. After a person issues an instruction, the processor loads and executes the computer program in the memory, thereby controlling the waste feeding and improving the efficiency of controlling the waste feeding.
[0071] In summary, this application includes at least one of the following beneficial technical effects:
[0072] 1. By detecting the combustion image inside the boiler and selecting the characteristic image in the combustion image, the current feeding area is determined. When the feeding area is larger than the reference feeding area, it indicates that there is a lack of garbage in the boiler. Therefore, the feeding coefficient is calculated based on the feeding area and the feeding reference. The feeding coefficient is used to indicate the amount of garbage to be fed into the boiler. This avoids excessive garbage feeding at one time, which leads to incomplete combustion of garbage, or insufficient garbage feeding, which leads to low garbage incineration efficiency, thereby improving the efficiency of garbage incineration.
[0073] 2. By comparing the element values of the combustion RGB matrix with the reference RGB interval, the element values falling within the reference RGB interval are adjusted to the RGB median value, the element values greater than the maximum value of the reference RGB interval are adjusted to the RGB maximum value, and the element values less than the minimum value of the reference RGB interval are adjusted to the RGB minimum value. This improves the contrast of the combustion image, makes it easier to identify feature areas, and thus improves the accuracy of the feeding area.
[0074] 3. By transporting the garbage into the feeding area according to the feeding amount, the garbage category is determined according to the garbage image at the feeding area, and the garbage with higher ignition points and the garbage with lower ignition points are determined according to the garbage category, and the order of garbage input is determined according to the ignition point of the garbage, so that garbage with different ignition points can be fully burned, thereby improving the efficiency of garbage incineration treatment. BRIEF DESCRIPTION OF THE DRAWINGS
[0075] Figure 1 This is a flow chart of a waste incineration feeding method in an embodiment of the present application.
[0076] Figure 2 This is a flowchart of a method for determining a current standard combustion image based on a combustion image in an embodiment of the present application.
[0077] Figure 3 This is a flow chart of a method for indicating the feeding of garbage into a boiler according to a feeding coefficient in an embodiment of the present application.
[0078] Figure 4 This is the process of spreading the garbage in the embodiment of the present application Figure 1 .
[0079] Figure 5 This is the process of spreading the garbage in the embodiment of the present application Figure 2 .
[0080] Figure 6 This is a flow chart of a method for indicating the input of garbage into a boiler according to the current input sequence in an embodiment of the present application.
[0081] Figure 7 This is a flow chart of a method for adjusting the order of input according to the area of garbage to be input in an embodiment of the present application.
[0082] Figure 8 It is a structural diagram of the neural network in the embodiment of the present application. DETAILED DESCRIPTION
[0083] In order to make the purpose, technical solutions and advantages of this application more clear, the following Figure 1-8 It should be understood that the specific embodiments described herein are only used to explain the present application and are not intended to limit the present application.
[0084] The present application performs image processing and recognition on the combustion image of garbage burning in the boiler, thereby extracting the required feature image from the combustion image, and then obtains the current feeding area based on the feature image. When the feeding area reaches the minimum feeding area, the quotient of the feeding area and the feeding benchmark is calculated to obtain the feeding coefficient. After inputting the feeding coefficient, the garbage is instructed to be fed into the boiler, and it is avoided as much as possible that too much garbage is fed into the boiler at the same time, resulting in insufficient combustion of the garbage, or too little garbage is fed into the boiler, resulting in a waste of boiler firepower, thereby improving the efficiency of garbage incineration treatment.
[0085] Reference Figure 1 The present application discloses a method for feeding waste incineration, comprising the following steps:
[0086] Step S100: Acquire the current combustion image of the boiler.
[0087] The combustion image is an image of the current combustion flame in the boiler. It is captured by a camera, uploaded, and stored for later use by the computer program. By detecting the combustion image in the boiler, it is ready for further analysis and processing.
[0088] Step S101: determining a current standard combustion image according to the combustion image.
[0089] The standard combustion image is an image obtained by image processing of the combustion image. The standard image converts all pixel colors into white, black or yellow, thereby improving the contrast of the image and facilitating subsequent image recognition of the standard combustion image.
[0090] Step S102: Select a characteristic image in the standard combustion image.
[0091] The characteristic image is the image of the characteristic part required in the standard combustion image. The technical personnel in this field collect the video image data of the camera at the feeding point within the recent month and convert it into the standard combustion image for storage. The radial basis function neural network is introduced to train and learn the standard combustion image. Figure 8 ,Radial basis function neural network is derived based on regularization theory, ,which has the characteristics of fast convergence speed, ,the ability to approximate any nonlinear function, and simple ,grid structure.
[0092] The process of training an image using a radial basis function neural network requires minimizing the extreme values of the parameter points in the image. This allows for image gradient descent, and by adjusting the image weights and edge thresholds, the difference between the output image and the desired output is minimized. The local error during the minimization process is calculated using the following formula:
[0093]
[0094] Where E represents the local error during minimization, m represents the weight, and k represents the edge threshold. The calculated results serve as compensation values during image training, with the local minimum error as the training target. Images entered into the computer are batch processed, and sample images are fed in sequentially according to the processing sequence to adjust the image connection weights.
[0095] After completing the training, considering that the automatic recognition process of the image needs to be based on the feature data in the image, in order to achieve this step, the texture features of the image need to be extracted.
[0096] Image texture features are one of the primary bases for target recognition. By referring to the connection weight matrix of a radial basis function neural network during training, we establish an image grayscale co-occurrence matrix. This matrix describes or reflects comprehensive information such as the image's texture, grayscale, orientation, the spacing between adjacent pixels, and the magnitude of variation. By analyzing the statistical distribution of the probability of joint pixels with the same grayscale level occurring at different angles or orientations, recognition can be used to describe image features.
[0097] After completing the above research, we used the extracted image features as a reference to design image classification and automatic recognition, and divided image recognition into two categories: feature recognition and grayscale recognition. Mainly extract features that can represent the image information from the image to determine whether the image has the required information. If you need to extract a certain data into an image file, you must first extract the feature value corresponding to the specific object in the file, and then extract the grayscale and color of the feature value to obtain the grayscale and color pattern of the image, thereby achieving image classification and recognition. In this process, the image is entered into the input layer of the neural network, and by searching for the similarity between the two frames of image, it is determined whether the image belongs to the same category of image, as shown in the following formula:
[0098]
[0099] Where: I(a,b) represents the similarity between two frames of images, where a and b represent two frames of the image; P AB Indicates the matching degree of feature points. During the recognition process, for images with color and texture, grayscale needs to be extracted for matching; for text images, the grayscale and color of the text font need to be extracted for matching.
[0100] Step S103: determining the current feeding area according to the standard combustion image and the characteristic image.
[0101] The feeding area is the area of the desired feature. A computer program calculates the ratio of the feature image to the standard combustion image. The product of the calculated ratio and the area corresponding to the standard combustion image is then retrieved, uploaded, stored, and retrieved. By determining the feeding area, further analysis and processing are performed.
[0102] Step S104: comparing the feeding area with a preset reference feeding area to continue acquiring a combustion image or calculating a quotient between the feeding area and a preset feeding reference, and defining the calculated quotient as a feeding coefficient.
[0103] The base feeding area is the preset minimum characteristic area for feeding. The specific size is determined by those skilled in the art based on actual conditions and is not detailed here. The feeding benchmark is the feeding amount corresponding to a unit feeding area. The specific size is determined by those skilled in the art based on actual conditions and is not detailed here. The feeding coefficient is a numerical value corresponding to the feeding area. The feeding coefficient represents the amount of feeding. The computer program calls the feeding area and the feeding benchmark to obtain, upload, store, and call it.
[0104] By sorting and comparing the numerical values corresponding to the feeding area and the numerical values corresponding to the benchmark feeding area, it is possible to determine whether the feeding area is larger than the benchmark feeding area, so as to determine whether it is necessary to feed garbage into the boiler for further analysis and processing.
[0105] If the feeding area is not larger than the reference feeding area, it indicates that the proportion of the characteristic image in the standard combustion image is low, and there is sufficient garbage in the boiler and no more garbage needs to be added to the boiler. Therefore, the combustion image continues to be detected to continuously monitor the garbage combustion situation in the boiler.
[0106] If the feeding area is larger than the reference feeding area, it indicates that the proportion of the characteristic image in the standard combustion image is relatively high. Therefore, it is necessary to add garbage into the boiler, so as to calculate the quotient between the feeding area and the feeding reference, and thus determine the feeding coefficient for further analysis and processing.
[0107] Step S105: Instructing the garbage to be fed into the boiler according to the feeding coefficient.
[0108] When the current boiler needs to input garbage, the amount and speed of garbage input into the boiler are controlled according to the feeding coefficient, so as to avoid too much garbage entering the boiler resulting in insufficient combustion of the garbage or too little garbage entering the boiler resulting in waste of boiler firepower, thereby improving the efficiency of garbage incineration treatment.
[0109] Reference Figure 2 The method for determining the current standard combustion image according to the combustion image includes the following steps:
[0110] Step S200: determining the current combustion RGB matrix according to the combustion image.
[0111] The combustion RGB matrix is a matrix that converts the color of the pixels in the combustion image into RGB values. The computer program calls the combustion image, and the image processing software processes the combustion image to generate, upload, and store it for future use. By converting the combustion image into the combustion RGB matrix, it can be further analyzed and processed.
[0112] Step S201: Compare the element value of the combustion RGB matrix with the preset reference RGB interval to adjust the current element value to the preset RGB median value or calculate the difference between the current element value and the preset RGB median value, and define the calculated difference as the deviation RGB value.
[0113] The base RGB interval is the preset RGB value range corresponding to yellow. The RGB median is the middle value of the preset base RGB interval. The deviation RGB value is the difference between the element value of the combustion RGB matrix and the RGB median. The computer program calculates the current element value and the RGB median, uploads it, and stores it for future use.
[0114] By sorting and comparing the values corresponding to the element values of the combustion RGB matrix and the values corresponding to the reference RGB interval, it is determined whether the element values of the combustion RGB matrix fall into the reference RGB interval, thereby determining the adjustment direction of the current element value for further analysis and processing.
[0115] If the element value falls within the benchmark RGB interval, the current element value is adjusted to the RGB median, so that the pixel corresponding to the current element is extended and turned yellow. The yellow part in the standard combustion image indicates that it is currently in a normal combustion state.
[0116] If the element value does not fall within the reference RGB interval, it indicates that the current element value needs to be adjusted. Therefore, the difference between the current element value and the RGB median is calculated to determine the deviation RGB value for further analysis and processing.
[0117] Step S202: Determine the current ascending direction or the current descending direction based on the deviation RGB value.
[0118] The rising direction is a signal that the current element value increases when the deviation RGB value is positive. The computer program uses the deviation RGB value to process, upload, and store it for future use. The falling direction is a signal that the current element value decreases when the deviation RGB value is negative. The computer program uses the deviation RGB value to process, upload, and store it for future use. By determining the rising and falling directions, further analysis and processing can be performed.
[0119] Step S2021: Based on the ascending direction, the current element value is adjusted to a preset RGB maximum value to improve the image contrast.
[0120] The RGB maximum value is the preset RGB value corresponding to white. When the RGB deviation value is positive, the current element value is adjusted to the RGB maximum value, turning the corresponding pixel color white, thereby improving the image contrast. The white portion of the standard combustion image indicates that the current combustion temperature is low and that refueling is required. The white portion of the standard combustion image is the characteristic image portion.
[0121] Step S2022: Based on the reduction direction, the current element value is adjusted to a preset RGB minimum value to improve the image contrast.
[0122] The RGB minimum value is the preset RGB value corresponding to black. When the RGB deviation value is negative, the current element value is adjusted to the RGB minimum value, making the corresponding pixel color black, thereby improving the image contrast. Black areas in the standard combustion image indicate that the current combustion temperature is high and there is sufficient waste in the boiler, so no additional waste is needed.
[0123] Reference Figure 3 The method of feeding the indicated garbage into the boiler according to the feeding coefficient includes the following steps:
[0124] Step S300: determining the current feeding amount according to the feeding coefficient.
[0125] The feeding amount is the amount of garbage corresponding to the feeding coefficient. Technical personnel in this field conduct a large number of experiments based on different feeding coefficients to summarize the rules and generate a database. The database stores the feeding coefficients related to the feeding amount, and has multiple feeding coefficients corresponding to the feeding amount. According to the input feeding coefficient, the output feeding amount is matched for further analysis and processing.
[0126] Step S301: The garbage enters a preset feeding place according to the feeding amount instruction, and a current garbage image of the feeding place is obtained.
[0127] The feed area is the area where waste is processed before being fed into the boiler. Its specific size is determined by those skilled in the art based on practical needs and is not detailed here. The waste image is captured by a camera installed at the feed area, uploaded, and stored for later use by the computer program. After the waste is fed into the feed area according to the feed amount, the image is detected for further analysis and processing.
[0128] Step S302: Determine the current garbage category according to the garbage image.
[0129] The garbage classification is the type of garbage at the feed site. The radial basis function neural network is used to train, learn, and identify garbage images, upload, store, and call them. The garbage classification of the garbage at the feed site is determined through the garbage images for further analysis and processing.
[0130] Step S303: Determine the current order of garbage input according to the garbage category.
[0131] The order of input is the order in which the garbage at the feed point is fed into the boiler. Those skilled in the art have conducted numerous experiments based on different garbage categories to summarize patterns and generate a database. The database stores garbage categories related to garbage ignition points, and has multiple garbage categories corresponding to garbage ignition points. Based on the input garbage categories, the output garbage ignition points are matched, and the garbage ignition points are sorted and compared and analyzed. The ignition points are arranged from large to small, and the corresponding garbage categories are sorted from large to small according to the garbage ignition points, thereby forming an input order. This allows garbage with higher ignition points to be fed into the boiler first, allowing the boiler's firepower to concentrate on incinerating garbage with higher ignition points, thereby improving the efficiency of garbage incineration treatment.
[0132] Step S304: Instructing the garbage to be fed into the boiler according to the current feeding sequence.
[0133] After determining the order of loading, the waste with the highest ignition point is loaded into the boiler first for incineration according to the loading order. This allows the boiler to focus its firepower on the high-ignition-point waste, preventing the high-ignition-point waste from mixing into the boiler and causing incomplete combustion, thereby improving the efficiency of the waste incineration process. The method of loading the waste into the boiler can be set by those skilled in the art according to actual conditions and will not be detailed here.
[0134] Reference Figure 4 Before obtaining the garbage image, the method for spreading the garbage includes the following steps:
[0135] Step S400: Obtain the current garbage status of the garbage.
[0136] The garbage state is an image of the garbage before it is spread out. It is captured by a camera at the feeding point, uploaded, and stored for use by a computer program. By detecting the garbage state before it is spread out, it can be further analyzed and processed.
[0137] Step S401: determining whether the current garbage is scattered or wrapped according to the garbage status.
[0138] Loose trash refers to trash that is loose at the feed point. Wrapped trash refers to trash that is wrapped at the feed point. The identification of loose and wrapped trash is accomplished through a radial basis function neural network, which trains, learns, and identifies the trash state, uploads it, and stores it for later use by a computer program. By identifying the trash state, the identification of loose or wrapped trash is determined for further analysis and processing.
[0139] Step S4011: Based on the scattered garbage, the preset vibration device is instructed to vibrate to instruct the scattered garbage to be evenly spread.
[0140] The vibration device is a pre-set mechanical device used to vibrate the garbage at the feed site, spreading it evenly across the site. It includes a vibrator and a vibrating plate. The vibration power and range of the vibration device are customizable by those skilled in the art based on actual circumstances and are not detailed here. When the garbage at the feed site is identified as loose, the vibration device is controlled to spread the loose garbage evenly, minimizing overlap. This ensures that the garbage image fully encompasses all garbage, enabling more accurate garbage classification based on the garbage image.
[0141] Step S4012: Based on the packaged garbage, instruct a preset scattering device to insert the packaged garbage to scatter the packaged garbage and generate scattered garbage.
[0142] The dispersing device is a pre-set mechanical device for dispersing packaged garbage, including a motor and blades. The number and power of the dispersing devices are determined by those skilled in the art based on actual conditions and are not detailed here. When the garbage state is identified as packaged garbage at the feed site, the dispersing device is controlled to disperse the packaged garbage, converting it into loose garbage. This allows the vibration device to evenly spread the packaged garbage at the feed site, thereby ensuring that the garbage image contains specific garbage and improving the accuracy of subsequent garbage classification based on the garbage image.
[0143] Reference Figure 5 The method for spreading the garbage also includes the following steps:
[0144] Step S500: When the vibration device vibrates, a current vibration image of the feeding location is obtained.
[0145] The vibration image is an image of the feed area as the vibrating device spreads the garbage. This image is captured by a camera at the feed area, uploaded, and stored for later use by a computer program. As the device vibrates the garbage at the feed area, spreading it evenly, the vibration image is detected for further analysis and processing.
[0146] Step S501 : comparing the vibration image with a preset reference image to continue acquiring the vibration image or selecting a blank area in the vibration image.
[0147] The baseline image is an image of the loading area filled with garbage. The specific location is determined by those skilled in the art based on actual conditions and is not detailed here. The blank areas are areas in the vibration image where there is no garbage. A computer program compares the vibration image with the baseline image and marks any areas that differ from the baseline image, which are then uploaded, stored, and retrieved.
[0148] By comparing and analyzing the vibration image with the reference image, it is determined whether the vibration image is consistent with the reference image, so as to determine whether the garbage is evenly spread over the feeding area for further analysis and processing.
[0149] If the vibration image is consistent with the reference image, it means that the current garbage is evenly spread over the feeding place. Therefore, the vibration image of the feeding place is continuously detected to continuously monitor the distribution of garbage at the feeding place.
[0150] If the vibration image is inconsistent with the reference image, it means that the current garbage is not evenly spread over the feeding area, and there are still areas where the garbage is not covered. Therefore, the blank areas in the vibration image are detected for further analysis and processing.
[0151] Step S502: Based on the blank area, obtain the current blank area of the blank area and the current accumulation thickness of the scattered garbage.
[0152] The blank area is the area of the blank region. A computer program uses the integration method to calculate the length and width measured by the laser measuring instrument to obtain multiple areas. These areas are then added together, uploaded, stored, and retrieved. The accumulated thickness is the thickness of the accumulated loose waste. This is measured by an ultrasonic measuring instrument, uploaded, and stored for subsequent recall by the computer program. After confirming that blank areas still exist at the feeding location, the blank area of the blank region and the accumulated thickness of the loose waste are measured for further analysis and processing.
[0153] Step S503: determining the current amount of blank garbage based on the blank area, and determining the current maximum accumulation area based on the accumulation thickness.
[0154] The blank waste volume is the amount of waste that the current blank area of the blank region can handle. A database created by those skilled in the art, based on numerous experiments and patterns derived from different blank areas, stores blank areas related to the previous blank waste volume. The database also contains multiple blank areas corresponding to the blank waste volume. Based on the input blank area, the blank waste volume is matched and output for further analysis and processing. The maximum accumulation area is the area with the greatest accumulation thickness of scattered waste. A computer program retrieves the accumulation thickness, sorts it by size, and performs comparative analysis to obtain, upload, store, and retrieve it. This determines the current maximum accumulation area for further analysis and processing.
[0155] Step S504: determining the current replenishment direction according to the blank area and the maximum accumulation area, and determining the current power value according to the blank garbage amount.
[0156] The replenishment direction is the direction of maximum accumulation relative to the blank area. A computer program marks the maximum accumulation area and blank area on the vibration image, then identifies, uploads, stores, and retrieves the data. The power value is the power required for the blowing device to blow garbage from the maximum accumulation area to the blank area according to the amount of blank garbage. A database was generated by technicians in this field through extensive experiments based on different blank garbage amounts. The database stores blank garbage amounts associated with power values, and has multiple blank garbage amounts corresponding to power values. Based on the input blank garbage amount, the output power value is matched for further analysis and processing.
[0157] Step S505: according to the replenishment direction and the power value, the preset blowing device is instructed to blow the garbage in the largest accumulation area to the blank area so that the scattered garbage is evenly spread.
[0158] The air blowing device is a pre-set mechanical device that blows garbage from the maximum accumulation area to the clear area. It includes a fan and air ducts, etc. The specific number of these devices is determined by those skilled in the art based on actual conditions and is not detailed here. The air blowing device is controlled by a power setting to blow garbage from the maximum accumulation area to the clear area in a replenishment direction, thereby evenly distributing the garbage across the feeding area. This allows the garbage image to include more types of garbage and improves the accuracy of garbage classification based on the garbage image.
[0159] Reference Figure 6 The method for instructing garbage to be fed into a boiler according to the current feeding order includes the following steps:
[0160] Step S600: determining the currently input garbage and the currently to-be-input garbage according to the input sequence.
[0161] The input waste is the waste with the highest ignition point at the input location. The computer program uses the input sequence to identify, upload, store, and retrieve the waste. The waste to be input is the waste with the second highest ignition point at the input location. The computer program uses the input sequence to identify, upload, store, and retrieve the waste. The input sequence determines the input waste and the waste to be input for further analysis and processing.
[0162] Step S601: determining a current input reference area according to input garbage, and obtaining the current input garbage area.
[0163] The input reference area is the single input amount that corresponds to the ignition point of the input garbage. A large number of experiments conducted by technicians in this field based on different input garbage summarize the patterns and generate a database. The database stores input garbage related to the input reference area and has multiple input garbage corresponding to the input reference area. Based on the input garbage, the input reference area is matched and output for further analysis and processing. The input garbage area is the area of the current input garbage. The computer program calls the garbage image and marks the area occupied by the input garbage in the garbage image. After calculating the proportion of the input garbage in the garbage image, the product of the actual area corresponding to the garbage image and the proportion is calculated to obtain the input garbage area and upload and store it for future use. The input garbage area of the input garbage is detected for further analysis and processing.
[0164] Step S602: Compare the input garbage area with the input reference area to obtain the current area of the input garbage or determine the current pre-combustion time according to the input garbage and the input garbage area.
[0165] The area of waste to be input is the current area of waste to be input. A computer program calls a waste image and marks the area occupied by the waste to be input within the waste image. After calculating the proportion of the waste to be input that occupies the waste image, the product of the actual area corresponding to the waste image and the proportion is calculated to obtain the area of waste to be input, which is uploaded and stored for future use. The pre-combustion time is the time it takes for the waste to burn to a reduced firepower corresponding to the current waste area. A database was generated by technicians in this field after extensive experiments based on different waste areas and waste inputs. The database stores waste inputs and waste areas associated with pre-combustion times. The database also contains multiple waste inputs and waste areas corresponding to pre-combustion times. Based on the input waste input and waste area, the pre-combustion time is matched and output.
[0166] By sorting and comparing the numerical values corresponding to the input garbage area and the numerical values corresponding to the input base area, it is possible to determine whether the input garbage area is larger than the input base area, and thus determine whether the amount of input garbage meets the minimum requirements for input into the boiler, pending further analysis and processing.
[0167] If the area of garbage input is smaller than the reference area, it indicates that the current amount of garbage input is small and does not meet the minimum requirement for input into the boiler. Therefore, the area of garbage input needs to be tested for further analysis and processing.
[0168] If the input garbage area is not less than the input base area, it means that the current amount of input garbage meets the minimum requirement for input into the boiler. Therefore, the first combustion time of the input garbage corresponding to the input garbage area is determined for further analysis and processing.
[0169] Step S6021: Based on the obtained area of the garbage to be thrown in, the order of throwing in is adjusted according to the area of the garbage to be thrown in.
[0170] When the area of garbage input is smaller than the reference area, the area of garbage to be input is detected, and the input sequence is adjusted according to the area of garbage to be input, so that the input sequence is more suitable for the current situation of garbage input into the boiler, thereby improving the efficiency of garbage incineration treatment.
[0171] Step S6022: Based on the determined first combustion time, instruct the input garbage to be put into the boiler, update the garbage to be put into as the input garbage, and obtain the current area of the garbage to be put into that has not been updated.
[0172] The area of the garbage to be thrown in is the current area of the garbage to be thrown in that has not been updated. The computer program calls the garbage image and marks the area occupied by the garbage to be thrown in in the garbage image. After calculating the proportion of the garbage to be thrown in the garbage image, the product of the actual area corresponding to the garbage image and the proportion is calculated to obtain the area of the garbage to be thrown in and upload and store it for future retrieval.
[0173] After determining the first combustion time, the input garbage is put into the boiler, and the garbage to be input is updated as the input garbage, thereby realizing the cycle of input garbage, and the area of the garbage to be input that has not been updated is detected for further analysis and processing.
[0174] Step S603: determining the current continuous input speed according to the garbage to be input and the area of the garbage to be input.
[0175] The continuous input speed is the amount of waste to be input into the boiler per unit time. Technical personnel in this field have conducted a large number of experiments based on different types of waste to be input and the areas of waste to be input to summarize the rules and generate a database. The database stores the waste to be input and the areas of waste to be input related to the continuous input speed, and has multiple waste to be input and areas of waste to be input corresponding to the continuous input speed. According to the input waste to be input and the areas of waste to be input, the continuous input speed is matched and output for further analysis and processing.
[0176] Step S604: After the initial combustion time, the garbage to be added is fed into the boiler at a continuous feeding rate to maintain the garbage combustion efficiency.
[0177] After the initial burning time, the garbage to be put into the boiler is incinerated at a continuous feeding speed, so that the garbage to be put in is put in when the firepower is reduced, thereby maintaining the size of the firepower and the efficiency of the garbage incineration treatment.
[0178] Reference Figure 7The method for adjusting the order of inputting garbage according to the area of garbage to be input comprises the following steps:
[0179] Step S700: determining the current reference area for garbage disposal based on the garbage disposal.
[0180] The reference area to be put in is a single amount of input that is adapted to the combustion point of the garbage to be put in. Technical personnel in this field conduct a large number of experiments based on different garbage to be put in to summarize the rules and generate a database. The database stores garbage to be put in related to the reference area to be put in, and has multiple garbage to be put in corresponding to the reference area to be put in. According to the input garbage to be put in, the reference area to be put in is matched and output for further analysis and processing.
[0181] Step S701: Compare the area of waste to be put in with the reference area to indicate that the waste to be put in and the waste to be put in are put into the boiler at the same time or determine the current mixed amount of waste to be put in based on the area of waste to be put in and the area of waste to be put in.
[0182] The mixing amount is the amount of garbage to be input that has the highest combustion efficiency after mixing with the input garbage. Technical personnel in this field conduct a large number of experiments based on different areas of garbage to be input and areas of input garbage to summarize the rules and generate a database. The database stores the areas of garbage to be input and areas of input garbage related to the mixing amount, and has multiple areas of garbage to be input and areas of input garbage corresponding to the mixing amount. The output mixing amount is matched according to the input areas of garbage to be input and areas of input garbage.
[0183] By sorting and comparing the numerical values corresponding to the area of garbage to be put in and the numerical values corresponding to the base area to be put in, it can be determined whether the area of garbage to be put in is larger than the base area to be put in, so as to determine whether the amount of garbage to be put in meets the minimum requirements for putting it into the boiler, and further analysis and processing can be carried out.
[0184] If the area of garbage to be put in is not larger than the base area to be put in, it means that the current amount of garbage to be put in is small and does not meet the minimum requirement for being put into the boiler. Therefore, the input garbage and the garbage to be put in will be put into the boiler at the same time, and the input garbage and the garbage to be put in will be incinerated at the same time, so as to maintain the efficiency of the boiler in incineration of garbage.
[0185] If the area of garbage to be put in is larger than the baseline area to be put in, it means that the current amount of garbage to be put in is large and meets the minimum requirements for being put into the boiler. Therefore, the current mixed amount of garbage to be put in is determined based on the area of garbage to be put in and the area of input garbage for further analysis and processing.
[0186] Step S702: Based on the mixing amount, the garbage to be input is mixed with the input garbage according to the mixing amount to generate mixed garbage, and the current mixed garbage area of the mixed garbage is obtained.
[0187] Mixed garbage is the garbage that has been mixed with the input garbage according to the mixing amount. The mixed garbage area is the current area of the mixed garbage, which is calculated, uploaded, stored, and called by a computer program using the area of the garbage to be input and the area of the input garbage corresponding to the current mixing amount.
[0188] After determining the mixing amount, the garbage to be input and the input garbage are mixed according to the mixing amount to generate mixed garbage, so that the garbage to be input can assist in the combustion of the input garbage, thereby increasing the combustion efficiency of the input garbage to the maximum, and the current mixed garbage area is detected for further analysis and processing.
[0189] Step S703: determining the current mixed combustion time according to the mixed garbage and the area of the mixed garbage, and determining the current remaining amount of the garbage to be put in according to the area of the garbage to be put in and the mixed amount.
[0190] The mixed combustion time is the time it takes for the mixed waste, corresponding to the area of the mixed waste, to burn until the firepower decreases. This data is generated by a database created by technicians in this field through extensive testing of various types of mixed waste and mixed waste areas. The database stores mixed waste and mixed waste areas associated with the mixed combustion time. The database also contains multiple mixed waste and mixed waste areas corresponding to the mixed combustion time. The output mixed combustion time is matched based on the input mixed waste and mixed waste area. The remaining waste volume is the amount of waste to be input after the mixing volume is reduced. This is calculated, uploaded, stored, and accessed by a computer program based on the area of the waste to be input and the mixing volume.
[0191] Step S704: After determining the mixed combustion time, instruct the mixed garbage to be fed into the boiler to improve the garbage combustion efficiency, update the remaining garbage to be fed into the input garbage, and determine the current continuous feeding speed based on the remaining garbage amount and the garbage to be fed into the boiler.
[0192] The continuous feeding rate is the amount of remaining garbage to be fed into the boiler per unit time. Technical personnel in this field have conducted a large number of experiments based on different amounts of remaining garbage and garbage to be fed to summarize the rules and generate a database. The database stores the amount of remaining garbage and garbage to be fed related to the continuous feeding rate, and has multiple amounts of remaining garbage and garbage to be fed corresponding to the continuous feeding rate.
[0193] After determining the mixed combustion time, the mixed waste is fed into the boiler for incineration, thereby assisting the combustion of the incoming waste and improving the efficiency of the waste incineration process. After the mixed waste is fed into the boiler, the remaining incoming waste is replaced with the incoming waste to maintain the waste feeding cycle. The current continuous feeding rate is determined based on the remaining waste and the incoming waste for further analysis and processing.
[0194] Step S705: After the mixed combustion time, the remaining garbage to be fed into the boiler is fed at a continuous feeding rate to maintain the garbage combustion efficiency.
[0195] After the mixed combustion time, the remaining garbage to be put into the boiler is fed into the boiler at a continuous feeding rate, so that when the firepower in the boiler is about to decrease, the garbage to be put into the boiler for incineration, thereby maintaining the firepower of the boiler and improving the efficiency of garbage incineration treatment.
[0196] Based on the same inventive concept, an embodiment of the present invention provides a waste incineration feeding system, comprising:
[0197] An acquisition module is used to obtain combustion images, garbage images, garbage status, vibration images, blank areas, accumulation thickness, area of input garbage, area of garbage to be input, and area of mixed garbage;
[0198] Memory, used to store Figure 1-8 A procedure for a waste incineration feeding method according to any one of the items;
[0199] Processor, the program in the memory can be loaded and executed by the processor and realize the following Figure 1-8 A waste incineration feeding method according to any one of the preceding claims.
[0200] Those skilled in the art will clearly understand that for the sake of convenience and brevity, the division of the above-mentioned functional modules is only used as an example for illustration. In actual applications, the above-mentioned functions can be assigned to different functional modules as needed, that is, the internal structure of the device can be divided into different functional modules to complete all or part of the functions described above. The specific working processes of the above-mentioned systems, devices, and units can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.
[0201] An embodiment of the present invention provides a computer-readable storage medium storing a computer program capable of being loaded and executed by a processor for a waste incineration feeding method.
[0202] Computer storage media include, for example, various media that can store program codes, such as USB flash drives, mobile hard disks, read-only memories (ROMs), random access memories (RAMs), magnetic disks, or optical disks.
[0203] Based on the same inventive concept, an embodiment of the present invention provides an intelligent terminal including a memory and a processor, wherein the memory stores a computer program that can be loaded by the processor and executed by a waste incineration feeding method.
[0204] Those skilled in the art will clearly understand that for the sake of convenience and brevity, the division of the above-mentioned functional modules is only used as an example for illustration. In actual applications, the above-mentioned functions can be assigned to different functional modules as needed, that is, the internal structure of the device can be divided into different functional modules to complete all or part of the functions described above. The specific working processes of the above-mentioned systems, devices, and units can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.
[0205] The above are all preferred embodiments of the present application and are not intended to limit the scope of protection of this application. Unless otherwise stated, any feature disclosed in this specification (including the abstract and drawings) may be replaced by other equivalent or similar features. In other words, unless otherwise stated, each feature is merely an example of a series of equivalent or similar features.
Claims
1. A method for feeding waste incineration, characterized in that: include: Get the current combustion image of the boiler; determining a current standard combustion image according to the combustion image; Select the characteristic image representing the unburned or low-temperature combustion area in the standard combustion image; Determine the current feeding area based on the standard combustion image and the characteristic image; Comparing the feeding area with a preset reference feeding area to continue acquiring a combustion image or calculating a quotient between the feeding area and the preset reference feeding area, and defining the calculated quotient as a feeding coefficient; The indicated waste is fed into the boiler according to the feed coefficient, including: Determine the current feeding amount according to the feeding coefficient; According to the feeding amount, the garbage is directed to enter the preset feeding place and the current garbage image of the feeding place is obtained; Determine the current garbage category based on the garbage image, wherein the garbage category is high-ignition-point input garbage and low-ignition-point to-be-input garbage; Determining the current order of inputting garbage according to the garbage category, the input order includes: for the unburned or low-temperature combustion area, inputting the high-ignition-point input garbage into the boiler for combustion, and then inputting the low-ignition-point input garbage into the boiler; Instructs the waste to be fed into the boiler according to the current feeding sequence.
2. A waste incineration feeding method according to claim 1, characterized in that: Methods for determining the current standard combustion image based on the combustion image include: Determine the current combustion RGB matrix according to the combustion image; Comparing the element value of the combustion RGB matrix with a preset reference RGB interval to adjust the current element value to a preset RGB median value or calculate the difference between the current element value and the preset RGB median value, and defining the calculated difference as a deviation RGB value; Based on the deviation RGB value, determine the current rising direction or the current falling direction; Based on the rising direction, the current element value is adjusted to the preset RGB maximum value to improve the image contrast; Based on the reduction direction, the current element value is adjusted to the preset RGB minimum value to improve the image contrast.
3. A waste incineration feeding method according to claim 1, characterized in that: Before obtaining the garbage image, the methods for spreading the garbage include: Get the current garbage status of the garbage; Determine whether the garbage is currently loose or wrapped based on the garbage status; Based on the scattered garbage, a preset vibration device is vibrated to instruct the scattered garbage to be evenly spread; Based on the packaged garbage, the preset scattering device is instructed to be inserted into the packaged garbage to scatter the packaged garbage and generate scattered garbage.
4. A waste incineration feeding method according to claim 3, characterized in that: Other ways to spread out the garbage include: When the vibration device vibrates, a current vibration image of the feeding location is obtained; Comparing the vibration image with a preset reference image to continue acquiring the vibration image or selecting a blank area in the vibration image; Based on the blank area, obtain the current blank area of the blank area and the current accumulation thickness of the scattered garbage; Determine the current amount of blank garbage based on the blank area, and determine the current maximum accumulation area based on the accumulation thickness; Determine the current replenishment direction based on the blank area and the maximum accumulation area, and determine the current power value based on the blank garbage amount; According to the replenishment direction and power value, the preset blowing device blows the garbage in the largest accumulation area to the blank area so that the scattered garbage is evenly spread.
5. A waste incineration feeding method according to claim 1, characterized in that: Methods for instructing waste to be fed into the boiler according to the current feeding sequence include: Determine the current input garbage and the current garbage to be input according to the input sequence; Determine the current input reference area based on the input garbage, and obtain the current input garbage area of the input garbage; Compare the input garbage area with the input reference area to obtain the current area of garbage to be input or determine the current first burning time based on the input garbage and the input garbage area; Based on the obtained area of garbage to be put in, the order of putting in is adjusted according to the area of garbage to be put in; Based on the determined first combustion time, instruct the input garbage to be input into the boiler, update the to-be-input garbage to the input garbage, and obtain the current to-be-input garbage area of the not-updated to-be-input garbage; Determine the current continuous input speed based on the garbage to be input and the area of the garbage to be input; After the initial combustion time, the garbage to be fed into the boiler is fed at a continuous feeding rate to maintain the garbage combustion efficiency.
6. A waste incineration feeding method according to claim 5, characterized in that: Methods for adjusting the order of waste disposal based on the area of waste to be disposed of include: Determine the current baseline area to be put in based on the garbage to be put in; Comparing the area of waste to be fed with the base area of waste to be fed to indicate that the waste to be fed and the waste to be fed are fed into the boiler at the same time or determining the current mixed amount of waste to be fed based on the area of waste to be fed and the area of waste to be fed; Based on the mixed amount, indicating that the waste to be input is mixed with the input waste according to the mixed amount to generate mixed waste, and obtaining a current mixed waste area of the mixed waste; Determine the current mixed combustion time based on the mixed garbage and the area of the mixed garbage, and determine the current remaining amount of garbage to be put in based on the area of the garbage to be put in and the amount of mixing; After determining the mixed combustion time, instruct the boiler to feed the mixed garbage to improve the garbage combustion efficiency, update the remaining garbage to be fed into the input garbage, and determine the current continuous feeding speed based on the remaining garbage amount and the garbage to be fed into the boiler; After the mixed combustion time, the remaining garbage to be fed into the boiler is fed at a continuous feeding rate to maintain the garbage combustion efficiency.
7. A waste incineration feeding system, characterized in that: include: An acquisition module is used to obtain combustion images, garbage images, garbage status, vibration images, blank areas, accumulation thickness, area of input garbage, area of garbage to be input, and area of mixed garbage; A memory for storing a program of a waste incineration feeding method according to any one of claims 1 to 6; The program in the memory can be loaded and executed by the processor to implement a waste incineration feeding method as claimed in any one of claims 1 to 6.
8. An intelligent terminal, characterized in that: The method comprises a memory and a processor, wherein the memory stores a computer program that can be loaded by the processor and executes a waste incineration feeding method according to any one of claims 1 to 6.
9. A computer-readable storage medium, characterized in that The invention stores a computer program which can be loaded by a processor and executes a waste incineration feeding method according to any one of claims 1 to 6.
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