CN111790251A - Light-based garbage deodorization control method and related product - Google Patents
Light-based garbage deodorization control method and related product Download PDFInfo
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Abstract
The application discloses light-based garbage deodorization control method and related products, wherein the method is used for garbage disposal equipment, and the garbage disposal equipment comprises the following steps: a sensor, a light emitter, and a processor, the method comprising: receiving garbage decomposition data of the sensor; acquiring a preset analysis algorithm, analyzing the garbage decomposition data to obtain target data, and generating a light regulation and control scheme according to the target data; and regulating and controlling the light ray emitter according to the light ray regulation and control scheme, wherein the light ray emitter is used for emitting light to deodorize garbage. By adopting the embodiment of the application, the problem that malodorous gas generated in garbage decomposition generates secondary pollution to the environment can be solved, the garbage treatment period is shortened, the garbage treatment process is simplified, the garbage treatment efficiency is improved, and the garbage treatment system has the advantage of high user experience.
Description
Technical Field
The application relates to the field of environmental protection, in particular to a light-based garbage deodorization control method and a related product.
Background
Along with the improvement of living standard of people, garbage disposal gradually becomes a social hotspot problem, and at present, the garbage disposal mode is generally that garbage is collected and then transferred to a garbage station for unified disposal.
In the process of degrading garbage, a large amount of malodorous gas can be released, in the prior art, the treatment of the malodorous gas by a garbage station is to reduce the malodorous gas by simple measures such as flushing, spraying a deodorizing agent and the like, but the measures such as flushing, spraying a deodorizing agent and the like have poor effects and also lead to long period of the whole garbage treatment, the garbage treatment process is complex, a method which can effectively treat the malodorous gas in the garbage decomposition process is still lacked at present, the quality of the environment around the garbage station is seriously damaged, even secondary pollution is brought to the surrounding environment, and the garbage treatment efficiency is low.
Disclosure of Invention
The embodiment of the application provides a rubbish deodorization control method and relevant product based on light, can realize carrying out the in-process that decomposes rubbish at refuse handling installation, through regulating and controlling light, the purpose of effectively deodorizing the foul gas that produces in the rubbish decomposition has been realized, the foul gas that has avoided producing in the rubbish decomposition produces secondary pollution to the environment, refuse treatment's cycle has been shortened, refuse treatment's flow has been simplified, refuse treatment's efficiency has been improved, consequently, the advantage that user experience degree is high has.
In a first aspect, an embodiment of the present application provides a light-based garbage deodorization control method, where the method is used in a garbage disposal apparatus, and the garbage disposal apparatus includes: a sensor, a light emitter, and a processor, the method comprising:
receiving garbage decomposition data of the sensor;
acquiring a preset analysis algorithm, analyzing the garbage decomposition data to obtain target data, and generating a light regulation and control scheme according to the target data;
and regulating and controlling the light ray emitter according to the light ray regulation and control scheme, wherein the light ray emitter is used for emitting light to deodorize garbage.
With reference to the first aspect of the present application, in a possible implementation manner of the first aspect of the present application, after the light emitter is controlled according to the light control scheme, processing odor concentration data of the processed gas is obtained, and it is determined that the processed gas meets the emission requirement according to the odor concentration data, where the detecting the processed gas includes: determining a plurality of smells contained in the processed smell concentration data and a plurality of concentration data corresponding to the plurality of smells; acquiring a weight mapping relation corresponding to odor and odor weight, and determining a plurality of weights corresponding to the multiple odors according to the weight mapping relation; calculating the processed smell concentration data according to the plurality of concentration data and the plurality of weights to obtain a processed smell score, acquiring a preset smell score threshold value, judging whether the processed smell score is smaller than the smell score threshold value, and if the processed smell score is smaller than the smell score threshold value, determining that the processed gas meets the emission requirement; and if the processed smell score is larger than or equal to the smell score threshold value, controlling the light emitter to emit light to perform secondary deodorization on the processed gas.
In a second aspect, an embodiment of the present application provides a light-based garbage deodorization control system, including:
a receiving unit for receiving garbage decomposition data of the sensor;
the analysis unit is used for acquiring a preset analysis algorithm to analyze the garbage decomposition data to obtain target data and generating a light regulation and control scheme according to the target data;
and the regulating and controlling unit is used for regulating and controlling the light ray emitter according to the light ray regulating and controlling scheme, and the light ray emitter is used for emitting light to deodorize garbage.
In a third aspect, embodiments provide an electronic device, including a processor, a memory, a communication interface, and one or more programs, stored in the memory and configured to be executed by the processor, the programs including instructions for performing the steps in the method according to any one of the first aspect.
In a fourth aspect, the present application provides a computer-readable storage medium, which stores a computer program, where the computer program is executed by a processor to implement the method according to any one of the first aspect.
It can be seen that in the embodiment of the present application, garbage decomposition data of the sensor is received; acquiring a preset analysis algorithm, analyzing the garbage decomposition data to obtain target data, and generating a light regulation and control scheme according to the target data; the light ray regulation and control scheme is right the light ray transmitter is regulated and control, the light ray transmitter is used for deodorization, has realized carrying out the effective deodorant purpose to the foul gas that produces in the rubbish decomposition to shorten refuse treatment's cycle, simplified refuse treatment's flow, improved refuse treatment's efficiency, improved user experience degree height.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
Fig. 1 is a schematic flow chart of a light-based garbage deodorization control method according to an embodiment of the present application.
Fig. 2 is a schematic flow chart of a first method for generating a light regulation scheme according to an embodiment of the present application.
Fig. 3 is a schematic flowchart of an image analysis algorithm according to an embodiment of the present application.
Fig. 4 is a schematic flow chart of a second method for generating a light regulation scheme according to an embodiment of the present application.
Fig. 5 is a schematic flow chart of a third method for generating a light regulation scheme according to an embodiment of the present application.
Fig. 6 is a schematic structural diagram of a light-based garbage deodorization control system 600 according to an embodiment of the present application.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The terms "first," "second," "third," and "fourth," etc. in the description and claims of the invention and in the accompanying drawings are used for distinguishing between different objects and not for describing a particular order. Furthermore, the terms "include" and "have," as well as any variations thereof, are intended to cover non-exclusive inclusions. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those steps or elements listed, but may alternatively include other steps or elements not listed, or inherent to such process, method, article, or apparatus.
Reference herein to "an embodiment" means that a particular feature, result, or characteristic described in connection with the embodiment can be included in at least one embodiment of the invention. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. It is explicitly and implicitly understood by one skilled in the art that the embodiments described herein can be combined with other embodiments.
Referring to fig. 1, fig. 1 is a schematic flow chart of a light-based garbage deodorization control method according to an embodiment of the present application, and as shown in fig. 1, the method includes:
and S101, receiving garbage decomposition data of the sensor.
Optionally, before receiving garbage decomposition data of the sensor, a data obtaining instruction is received, where the data obtaining instruction is used to instruct to receive the garbage decomposition data, and the data obtaining instruction includes: an object sensor.
Further, the collected garbage decomposition data of the target sensor is acquired according to the data acquisition instruction, and the target sensor comprises at least one of the following: odor sensors, temperature sensors, impact sensors, and the like, without limitation; if the target sensor is an odor sensor, the garbage decomposition data comprises: odor concentration data, if the target sensor is a temperature sensor, the garbage decomposition data comprises: temperature change data, if the target sensor is an image sensor, the garbage decomposition data includes: garbage decomposing the image data.
And S102, acquiring a preset analysis algorithm, analyzing the garbage decomposition data to obtain target data, and generating a light regulation and control scheme according to the target data.
Optionally, a preset analysis algorithm is obtained, and the garbage decomposition data is analyzed according to the preset analysis algorithm, where the analysis algorithm includes at least one of the following: image analysis algorithm, odor analysis algorithm, temperature analysis algorithm.
In an embodiment of the present application, determining the garbage decomposition data as the garbage decomposition image data, obtaining a preset image analysis algorithm, and determining a decomposition score of the garbage according to the image analysis algorithm and the garbage decomposition image; determining a target decomposition score section corresponding to the decomposition score, acquiring a first mapping relation between a preset light ray regulation and control instruction and the decomposition score section, and determining the light ray regulation and control instruction corresponding to the target decomposition score section according to the first mapping relation; generating a light regulation scheme, wherein the light regulation scheme comprises: the light regulation and control instruction.
Further, the image analysis algorithm comprises: determining x articles contained in the garbage decomposition image, and cutting the garbage decomposition image according to the x articles to obtain x sub-pictures corresponding to the x articles, wherein x is greater than 0;
carrying out normalization processing on the x sub-pictures to obtain x normalized sub-pictures;
inputting the x normalized sub-pictures into a preset filter for median filtering to obtain x filtered sub-pictures;
inputting the x filtered sub-pictures into a preset detection model for edge detection to obtain x edge sub-pictures;
starting to execute the decomposition sub-score calculation operation from the first edge sub-picture until the decomposition sub-score calculation operation of the last edge sub-picture is finished, and obtaining x decomposition sub-scores aiWherein i is more than 0 and less than or equal to x, wherein the operation of calculating the decomposition sub-fraction comprises the following steps:
acquiring an ith edge sub-picture;
identifying the edge outline in the ith edge sub-picture, and calculating the number N of pixel points contained in the edge outline1；
Calculating the total pixel point number N of the ith edge sub-picture2；
According to the formula ai＝N1/N2Calculating to obtain the ith decomposition sub-score a corresponding to the ith edge sub-picturei；
Dividing the x decomposition sub-scores a according to a preset decomposition score calculation formulaiCalculating to obtain the decomposition score b, wherein the decomposition score calculation formula comprises:
in one embodiment of the present application, the garbage decomposition data is determined as the odor concentration data; acquiring a preset odor analysis algorithm, and determining the odor score according to the odor analysis algorithm and the odor concentration data; determining a target odor score section corresponding to the odor score, acquiring a second mapping relation between a preset light ray regulation and control instruction and the odor score section, and determining the light ray regulation and control instruction corresponding to the target odor score section according to the second mapping relation; generating a light regulation scheme, wherein the light regulation scheme comprises: the light regulation and control instruction.
Further, the odor analysis algorithm comprises: determining x kinds of smells contained in the smell concentration data and y kinds of concentration data s corresponding to the y kinds of smellsjWherein y is more than 0, and j is more than 0 and less than or equal to y;
acquiring a weight mapping relation corresponding to the odor and the odor weight, and determining y weights w corresponding to the x kinds of odors according to the weight mapping relationj；
According to a preset weighting calculation formula, the y concentration data s are subjected tojAnd the y weights wjCalculating to obtain the odor score k, wherein the weighted calculation formula comprises:
in one embodiment of the present application, the garbage decomposition data is determined as the temperature change data; acquiring a preset temperature analysis algorithm, and determining target temperature data according to the temperature analysis algorithm and the temperature change data, wherein the temperature analysis algorithm specifically comprises the following steps: acquiring current temperature data from the temperature change data, and determining the current temperature data as target temperature data; acquiring a preset temperature threshold, judging whether the target temperature data is greater than or equal to the temperature threshold, and if the temperature data is greater than or equal to the temperature threshold, generating a first light regulation scheme, wherein the first light regulation scheme comprises: weakening the light intensity instruction; generating a second light regulation scheme if the temperature data is less than the temperature threshold, wherein the second light regulation scheme comprises: the light intensity command is increased.
And S103, regulating and controlling the light ray emitter according to the light ray regulation and control scheme, wherein the light ray emitter is used for emitting light to deodorize garbage.
Optionally, obtain the light regulation and control scheme, follow obtain the light regulation and control instruction in the light regulation and control scheme, according to the light regulation and control instruction is right the light emitter regulates and control, the light emitter is used for to refuse treatment equipment carries out the deodorization, wherein, the light emitter includes: an ultraviolet light emitter, an electrodeless ultraviolet light emitter, etc., without limitation thereto.
On one hand, the high-energy light radiation breaks the molecule binding chain of the malodorous substance and photolyzes to form active molecule fragments; on the other hand, vacuum light radiation energy with the wavelength of below 200nm can photolyze oxygen to generate oxygen radicals, the oxygen radicals combine with the oxygen to generate ozone, and the strong oxidizing ability of the ozone can oxidize a plurality of malodorous substances. In addition, ozone can be decomposed very rapidly after obtaining the energy of the composite ion photons, and hydroxyl radicals with stronger oxidizing ability are generated in a humidity environment. The hydroxyl free radical has strong oxidizing ability, and can generate a series of synergistic and chain reaction processes with malodorous gas, and the process can be completed in a short time. The malodorous gas is finally oxidized and degraded into low molecular substances, water and carbon dioxide, thereby achieving the final deodorization purpose.
Optionally, after the light emitter is controlled according to the light control scheme, processing odor concentration data of the processed gas is obtained, and it is determined that the processed gas meets the emission requirement according to the odor concentration data, where the detecting the processed gas includes: determining a plurality of smells contained in the processed smell concentration data and a plurality of concentration data corresponding to the plurality of smells; acquiring a weight mapping relation corresponding to odor and odor weight, and determining a plurality of weights corresponding to the multiple odors according to the weight mapping relation; calculating the processed smell concentration data according to the plurality of concentration data and the plurality of weights to obtain a processed smell score, acquiring a preset smell score threshold value, judging whether the processed smell score is smaller than the smell score threshold value, and if the processed smell score is smaller than the smell score threshold value, determining that the processed gas meets the emission requirement; and if the processed smell score is larger than or equal to the smell score threshold value, controlling the light emitter to emit light to perform secondary deodorization on the processed gas.
Referring to fig. 2, fig. 2 is a schematic flow chart of a first method for generating a light regulation and control scheme according to an embodiment of the present application, and as shown in fig. 2, the method includes:
step S201, determining the garbage decomposition data as the garbage decomposition image data.
Optionally, the garbage decomposition data is acquired, a sensor corresponding to the garbage decomposition data is determined according to the garbage decomposition data, whether the sensor is an image sensor or not is determined, if the sensor is the image sensor, the garbage decomposition data is determined to be the garbage decomposition image data, and if the sensor is not the image sensor, the garbage decomposition data is determined not to be the garbage decomposition image data.
Step S202, a preset image analysis algorithm is obtained, and the garbage decomposition score is determined according to the image analysis algorithm and the garbage decomposition image.
Optionally, after determining that the garbage decomposition data is the garbage decomposition image data, obtaining an image analysis algorithm from a database, where the image analysis algorithm is configured to score the garbage decomposition image data, and determining a decomposition score of the garbage according to the image analysis algorithm and the garbage decomposition image, where the decomposition score is used to determine a decomposition degree of the garbage.
Wherein the image analysis algorithm comprises: determining x articles contained in the garbage decomposition image, and cutting the garbage decomposition image according to the x articles to obtain x sub-pictures corresponding to the x articles, wherein x is greater than 0; carrying out normalization processing on the x sub-pictures to obtain x normalized sub-pictures; inputting the x normalized sub-pictures into a preset filter for median filtering to obtain x filtered sub-pictures; filtering the x filtersInputting the post-processed sub-pictures into a preset detection model for edge detection to obtain x edge sub-pictures; starting to execute the decomposition sub-score calculation operation from the first edge sub-picture until the decomposition sub-score calculation operation of the last edge sub-picture is finished, and obtaining x decomposition sub-scores aiWherein i is more than 0 and less than or equal to x, wherein the operation of calculating the decomposition sub-fraction comprises the following steps: acquiring an ith edge sub-picture; identifying the edge outline in the ith edge sub-picture, and calculating the number N of pixel points contained in the edge outline1(ii) a Calculating the total pixel point number N of the ith edge sub-picture2(ii) a According to the formula ai＝N1/N2Calculating to obtain the ith decomposition sub-score a corresponding to the ith edge sub-picturei(ii) a Dividing the x decomposition sub-scores a according to a preset decomposition score calculation formulaiCalculating to obtain the decomposition score b, wherein the decomposition score calculation formula comprises:
step S203, determining a target decomposition score segment corresponding to the decomposition score, obtaining a first mapping relation between a preset light ray regulation and control instruction and the decomposition score segment, and determining the light ray regulation and control instruction corresponding to the target decomposition score segment according to the first mapping relation.
Optionally, a decomposition score segment template is obtained, a target decomposition score segment corresponding to the decomposition score is determined according to the decomposition score segment template, a first mapping relation is obtained, the first mapping relation is used for storing a mapping relation between a light ray regulation and control instruction and the decomposition score segment, and a target light ray regulation and control instruction is determined according to the target decomposition score segment and the first mapping relation; for example, the decomposition score is 85, the target decomposition score segment is 80-89 score segments, and the light regulation instruction corresponding to the 80-89 score segment is obtained through the first mapping relation, and is as follows: and if the light intensity is in three levels, the target light regulation instruction is as follows: the light intensity is three levels.
Step S204, generating a light regulation and control scheme, wherein the light regulation and control scheme comprises the following steps: the light regulation and control instruction.
Optionally, a light regulation and control instruction is obtained, and a light regulation and control scheme is generated according to the light regulation and control instruction, where the light regulation and control scheme is used to instruct the light emitter to adjust and control the emitted light according to the light regulation and control instruction.
Referring to fig. 3, fig. 3 is a schematic flowchart of an image analysis algorithm according to an embodiment of the present application, and as shown in fig. 3, the algorithm includes:
step S301, determining x articles contained in the garbage decomposition image, and cutting the garbage decomposition image according to the x articles to obtain x sub-pictures corresponding to the x articles, wherein x is greater than 0.
Optionally, before determining an article in x included in the garbage decomposition image, image data of the article is acquired, the image data is classified according to the type of the article to obtain a plurality of groups of image data, a type recognition model is established, the type recognition model is used for recognizing the article in the image, and the type recognition model is trained through the plurality of groups of image data to obtain a trained type recognition model.
Optionally, the garbage decomposition image is acquired, a preset quantity identification model is acquired, the garbage decomposition image is used as the input of the quantity identification model to acquire the number x of the garbage contained in the garbage decomposition image, the garbage decomposition image is used as the input of the type identification model, and the number x of the garbage is used as the input parameter of the type identification model to acquire the type of the x articles contained in the garbage decomposition image.
Further, the garbage decomposition image is cut according to the x articles to obtain x sub-images corresponding to the x articles, wherein each sub-image comprises one article.
Step S302, carrying out normalization processing on the x sub-pictures to obtain x normalized sub-pictures, inputting the x normalized sub-pictures into a preset filter, and carrying out median filtering to obtain x filtered sub-pictures;
optionally, a preset normalization model is obtained, and the x sub-pictures are used as the input of the normalization model to obtain x normalized sub-pictures; obtaining a preset filter, the filter comprising: and the median filter is used for performing median filtering on the x normalized sub-pictures, and the x normalized sub-pictures are used as the input of the filter to obtain x filtered sub-pictures.
The image normalization is realized by a series of transformations, namely, a group of parameters are searched by using the invariant moment of an image, so that the influence of other transformation functions on the image transformation can be eliminated, and an original image to be processed is converted into a corresponding unique standard form, wherein the standard form has invariant characteristics to affine transformations such as translation, rotation and scaling, and the basic working principle of the moment-based image normalization technology is as follows: the parameters of the transformation function are determined by using moments which are invariable to affine transformation in the image, and then the original image is transformed into a standard-form image (the image is not related to affine transformation) by using the transformation function determined by the parameters, and the image normalization enables the image to resist the attack of geometric transformation, and can find out the invariants in the image so as to know that the images are the same or a series originally.
The median filtering is a nonlinear signal processing technology which is based on a sequencing statistic theory and can effectively inhibit noise, and the basic principle of the median filtering is to replace the value of one point in a digital image or a digital sequence by the median of all point values in a neighborhood of the point, so that the surrounding pixel values are close to the true values, and isolated noise points are eliminated. The median filtering method is to sort the pixels in the plate according to the size of the pixel value by using a two-dimensional sliding template to generate a two-dimensional data sequence which is monotonously ascending or descending.
Step S303, inputting the x filtered sub-pictures into a preset detection model for edge detection to obtain x edge sub-pictures;
optionally, a preset detection model is obtained, where the detection model is used to perform edge detection on a picture, and the x filtered sub-pictures are used as input of the detection model to obtain x edge sub-pictures.
Among these, edge detection is a fundamental problem in image processing and computer vision, and the purpose of edge detection is to identify points in digital images where brightness changes are significant. Significant changes in image attributes typically reflect significant events and changes in attributes, including: the image edge detection greatly reduces the data amount, eliminates information which can be considered irrelevant, and retains important structural attributes of the image. There are many methods for edge detection, and most of them can be divided into two categories: one class based on look-up and one class based on zero-crossings. The search-based approach detects boundaries by finding the maximum and minimum values in the first derivative of the image, usually by locating the boundaries in the direction where the gradient is largest. The zero crossing based method finds the boundary by finding the zero crossing of the second derivative of the image.
Step S304, starting from the first edge sub-picture to execute decomposition sub-score calculation operation until the execution of the decomposition sub-score calculation operation of the last edge sub-picture is finished, and obtaining x decomposition sub-scores;
optionally, a decomposition sub-score calculation algorithm is obtained, and decomposition sub-score calculation operation is performed from the first edge sub-picture until the decomposition sub-score calculation operation of the last edge sub-picture is completed, so as to obtain x decomposition sub-scores aiWherein i is more than 0 and less than or equal to x; wherein the decomposition sub-score calculation algorithm comprises:
acquiring an ith edge sub-picture;
identifying the edge outline in the ith edge sub-picture, and calculating the number N of pixel points contained in the edge outline1；
Calculating the total pixel point number N of the ith edge sub-picture2；
According to the formula ai＝N1/N2Calculating to obtain the ith decomposition sub-score a corresponding to the ith edge sub-pictureiLet i be i + 1.
Step S305, calculating the x decomposition sub-scores according to a preset decomposition score calculation formula to obtain the decomposition score b.
Optionally, a preset decomposition score calculation formula is obtained, and the x decomposition sub-scores are used as the input of the decomposition score calculation formula to calculate, so as to obtain a decomposition score b, where the decomposition score calculation formula includes:
referring to fig. 4, fig. 4 is a schematic flow chart of a second light regulation and control scheme generation method according to an embodiment of the present application, and as shown in fig. 4, the method includes:
and S401, determining the garbage decomposition data as the odor concentration data.
Optionally, the garbage decomposition data is acquired, a sensor corresponding to the garbage decomposition data is determined according to the garbage decomposition data, whether the sensor is an odor sensor or not is determined, if the sensor is the odor sensor, the garbage decomposition data is determined to be the odor concentration data, and if the sensor is not the odor sensor, the garbage decomposition data is determined not to be the odor concentration data.
Step S402, acquiring a preset odor analysis algorithm, and determining an odor score according to the odor analysis algorithm and the odor concentration data;
optionally, after determining that the garbage decomposition data is the odor concentration data, an odor analysis algorithm is obtained from a database, wherein the odor analysis algorithm is used for scoring the odor concentration data, and determining an odor score of the garbage according to the odor analysis algorithm and the odor concentration data, and the odor score is used for determining the decomposition degree of the garbage.
Wherein the odor analysis algorithm comprises: determining x kinds of smells contained in the smell concentration data and y kinds of concentration data s corresponding to the y kinds of smellsjWherein y is more than 0, and j is more than 0 and less than or equal to y; obtaining a weight mapping relation corresponding to the odor and the odor weight according toThe weight mapping relation determines y weights w corresponding to the x kinds of smellsj(ii) a According to a preset weighting calculation formula, the y concentration data s are subjected tojAnd the y weights wjCalculating to obtain the odor score k, wherein the weighted calculation formula comprises:
step S403, determining a target odor score segment corresponding to the odor score, obtaining a second mapping relationship between a preset light regulation instruction and the odor score segment, and determining the light regulation instruction corresponding to the target odor score segment according to the second mapping relationship.
Optionally, an odor score segment template is obtained, a target odor score segment corresponding to the odor score is determined according to the odor score segment template, a second mapping relationship is obtained, the second mapping relationship is used for storing a mapping relationship between a light ray regulation and control instruction and the odor score segment, and the target light ray regulation and control instruction is determined according to the target odor score segment and the second mapping relationship; for example, the odor score is 92, the target decomposition score segment is 90-95 score segments, and the light regulation instruction corresponding to the 90-95 score segment is obtained through a second mapping relationship as follows: and if the light intensity is five levels, the target light regulation instruction is as follows: the light intensity is five levels.
Step S404, generating a light regulation and control scheme, wherein the light regulation and control scheme comprises the following steps: the light regulation and control instruction.
Optionally, a light regulation and control instruction is obtained, and a light regulation and control scheme is generated according to the light regulation and control instruction, where the light regulation and control scheme is used to instruct the light emitter to adjust and control the emitted light according to the light regulation and control instruction.
Referring to fig. 5, fig. 5 is a schematic flow chart of a third method for generating a light regulation scheme according to an embodiment of the present application, and as shown in fig. 5, the method includes:
step S501, determining the garbage decomposition data as the temperature change data;
optionally, the garbage decomposition data is acquired, a sensor corresponding to the garbage decomposition data is determined according to the garbage decomposition data, whether the sensor is a temperature sensor or not is determined, if the sensor is the temperature sensor, the garbage decomposition data is determined to be the temperature change data, and if the sensor is not the temperature sensor, the garbage decomposition data is determined not to be the temperature change data.
Step S502, obtaining a preset temperature analysis algorithm, and determining target temperature data according to the temperature analysis algorithm and the temperature change data, wherein the temperature analysis algorithm specifically comprises: acquiring current temperature data from the temperature change data, and determining the current temperature data as target temperature data;
optionally, a preset temperature analysis algorithm is obtained, and target temperature data is determined according to the temperature analysis algorithm and the temperature change data, wherein the temperature analysis algorithm includes: the method comprises the steps of obtaining temperature change data, obtaining current temperature data from the temperature change data, determining the current temperature data as target temperature data, generating a change curve of temperature and time according to the temperature change data after determining the target temperature data, and calculating the change rate of temperature change according to the change curve.
Step S503, obtaining a preset temperature threshold, and determining whether the target temperature data is greater than or equal to the temperature threshold, and if the temperature data is greater than or equal to the temperature threshold, generating a first light regulation and control scheme, where the first light regulation and control scheme includes: weakening the light intensity instruction;
optionally, a preset temperature threshold is obtained, the target temperature data is judged according to the temperature threshold, whether the target temperature data is greater than or equal to the temperature threshold is determined, if the target temperature data is greater than or equal to the temperature threshold, obtaining the temperature change rate, obtaining a temperature change rate fractional segment template, determining a target change rate fractional segment corresponding to the temperature change rate according to the temperature change rate fractional segment template, obtaining a fourth mapping relation, the fourth mapping relation is used for storing a mapping relation between a light regulation and control numerical value and a temperature change rate fraction section, determining the light regulation and control numerical value according to the target change rate fraction section and the fourth mapping relation, and generating a first light regulation and control scheme according to the target temperature data and the light regulation and control numerical value, wherein the first light regulation and control scheme comprises: and weakening the light intensity instruction and the light regulation and control numerical value.
Step S504, if the temperature data is smaller than the temperature threshold, generating a second light regulation and control scheme, where the second light regulation and control scheme includes: the light intensity command is increased.
Optionally, if the temperature data is smaller than the temperature threshold, obtaining the temperature change rate, obtaining a temperature change rate score segment template, determining a target change rate score segment corresponding to the temperature change rate according to the temperature change rate score segment template, obtaining a fourth mapping relationship, where the fourth mapping relationship is used to store a mapping relationship between a light regulation value and the temperature change rate score segment, determining the light regulation value according to the target change rate score segment and the fourth mapping relationship, and generating a second light regulation scheme according to the target temperature data and the light regulation value, where the second light regulation scheme includes: and increasing the light intensity instruction and the light regulation and control numerical value.
Referring to fig. 6, fig. 6 is a schematic structural diagram of a light-based garbage deodorization control system 600 according to an embodiment of the present application, and as shown in fig. 6, the light-based garbage deodorization system 600 includes:
a receiving unit 601, configured to receive garbage decomposition data of the sensor;
the analysis unit 602 is configured to obtain a preset analysis algorithm, analyze the garbage decomposition data to obtain target data, and generate a light regulation and control scheme according to the target data;
a control unit 603 configured to control the light emitter according to the light control scheme, wherein the light emitter is configured to emit light to deodorize the garbage.
In an embodiment of the present application, the obtaining of the preset analysis algorithm is to theThe garbage decomposition data is analyzed to obtain target data, and in terms of generating a light regulation and control scheme according to the target data, the analysis unit 602 is specifically configured to: determining the garbage decomposition data as the garbage decomposition image data; acquiring a preset image analysis algorithm, and determining the garbage decomposition score according to the image analysis algorithm and the garbage decomposition image; determining a target decomposition score section corresponding to the decomposition score, acquiring a first mapping relation between a preset light ray regulation and control instruction and the decomposition score section, and determining the light ray regulation and control instruction corresponding to the target decomposition score section according to the first mapping relation; wherein the image analysis algorithm comprises: determining x articles contained in the garbage decomposition image, and cutting the garbage decomposition image according to the x articles to obtain x sub-pictures corresponding to the x articles, wherein x is greater than 0; carrying out normalization processing on the x sub-pictures to obtain x normalized sub-pictures; inputting the x normalized sub-pictures into a preset filter for median filtering to obtain x filtered sub-pictures; inputting the x filtered sub-pictures into a preset detection model for edge detection to obtain x edge sub-pictures; starting to execute the decomposition sub-score calculation operation from the first edge sub-picture until the decomposition sub-score calculation operation of the last edge sub-picture is finished, and obtaining x decomposition sub-scores aiWherein i is more than 0 and less than or equal to x, wherein the operation of calculating the decomposition sub-fraction comprises the following steps: acquiring an ith edge sub-picture; identifying the edge outline in the ith edge sub-picture, and calculating the number N of pixel points contained in the edge outline1(ii) a Calculating the total pixel point number N2 of the ith edge sub-picture; according to the formula ai＝N1/N2Calculating to obtain the ith decomposition sub-score a corresponding to the ith edge sub-picturei(ii) a Dividing the x decomposition sub-scores a according to a preset decomposition score calculation formulaiCalculating to obtain the decomposition score b, wherein the decomposition score calculation formula comprises:
generating a light regulation scheme, whichThe light regulation scheme comprises: the light regulation and control instruction.
In an embodiment of the application, the obtaining a preset analysis algorithm analyzes the garbage decomposition data to obtain target data, and the analyzing unit 602 is specifically configured to, according to the aspect of generating a light regulation and control scheme by the target data: determining the garbage decomposition data as the odor concentration data; acquiring a preset odor analysis algorithm, and determining the odor score according to the odor analysis algorithm and the odor concentration data; determining a target odor score section corresponding to the odor score, acquiring a second mapping relation between a preset light ray regulation and control instruction and the odor score section, and determining the light ray regulation and control instruction corresponding to the target odor score section according to the second mapping relation; wherein the odor analysis algorithm comprises: determining x kinds of smells contained in the smell concentration data and y kinds of concentration data s corresponding to the y kinds of smellsjWherein y is more than 0, and j is more than 0 and less than or equal to y; acquiring a weight mapping relation corresponding to the odor and the odor weight, and determining y weights w corresponding to the x kinds of odors according to the weight mapping relationj(ii) a According to a preset weighting calculation formula, the y concentration data s are subjected tojAnd the y weights wjCalculating to obtain the odor score k, wherein the weighted calculation formula comprises:
generating a light regulation scheme, wherein the light regulation scheme comprises: the light regulation and control instruction.
In an embodiment of the application, the obtaining a preset analysis algorithm analyzes the garbage decomposition data to obtain target data, and the analyzing unit 602 is specifically configured to, according to the aspect of generating a light regulation and control scheme by the target data: determining the garbage decomposition data as the temperature change data; acquiring a preset temperature analysis algorithm, and determining target temperature data according to the temperature analysis algorithm and the temperature change data, wherein the temperature analysis algorithm specifically comprises the following steps: acquiring current temperature data from the temperature change data, and determining the current temperature data as target temperature data; acquiring a preset temperature threshold, judging whether the target temperature data is greater than or equal to the temperature threshold, and if the temperature data is greater than or equal to the temperature threshold, generating a first light regulation scheme, wherein the first light regulation scheme comprises: weakening the light intensity instruction; generating a second light regulation scheme if the temperature data is less than the temperature threshold, wherein the second light regulation scheme comprises: the light intensity command is increased.
Embodiments of the present application also provide a computer storage medium, wherein the computer storage medium stores a computer program for electronic data exchange, and the computer program enables a computer to execute part or all of the steps of any one of the methods for transmitting information as described in the above method embodiments.
Embodiments of the present application also provide a computer program product comprising a non-transitory computer readable storage medium storing a computer program operable to cause a computer to perform some or all of the steps of any of the methods of transmitting information as set forth in the above method embodiments.
In the foregoing embodiments, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.
While the present application has been described in connection with various embodiments, other variations to the disclosed embodiments can be understood and effected by those skilled in the art in practicing the claimed application, from a review of the drawings, the disclosure, and the appended claims. In the claims, the word "comprising" does not exclude other elements or steps, and the word "a" or "an" does not exclude a plurality. A single processor or other unit may fulfill the functions of several items recited in the claims. The mere fact that certain measures are recited in mutually different dependent claims does not indicate that a combination of these measures cannot be used to advantage.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, apparatus (device), or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein. A computer program stored/distributed on a suitable medium supplied together with or as part of other hardware, may also take other distributed forms, such as via the Internet or other wired or wireless telecommunication systems.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (devices) and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
Although the present application has been described in conjunction with specific features and embodiments thereof, it will be evident that various modifications and combinations can be made thereto without departing from the spirit and scope of the application. Accordingly, the specification and figures are merely exemplary of the present application as defined in the appended claims and are intended to cover any and all modifications, variations, combinations, or equivalents within the scope of the present application. It will be apparent to those skilled in the art that various changes and modifications may be made in the present application without departing from the spirit and scope of the application. Thus, if such modifications and variations of the present application fall within the scope of the claims of the present application and their equivalents, the present application is intended to include such modifications and variations as well.
Claims (10)
1. A light-based garbage deodorization control method, wherein the method is used in a garbage disposal apparatus comprising: a sensor, a light emitter, and a processor, the method comprising:
receiving garbage decomposition data of the sensor;
acquiring a preset analysis algorithm, analyzing the garbage decomposition data to obtain target data, and generating a light regulation and control scheme according to the target data;
and regulating and controlling the light ray emitter according to the light ray regulation and control scheme, wherein the light ray emitter is used for emitting light to deodorize garbage.
2. The method of claim 1, wherein the receiving garbage destruction data for the sensor comprises:
the sensor includes: an odor sensor, a temperature sensor, or an image sensor;
if the sensor is an odor sensor, the garbage decomposition data is odor concentration data;
if the sensor is a temperature sensor, the garbage decomposition data is temperature change data;
and if the sensor is an image sensor, the garbage decomposition data is garbage decomposition image data.
3. The method of claim 1, wherein the obtaining a predetermined analysis algorithm analyzes the garbage decomposition data to obtain target data, and the generating a light regulation and control scheme according to the target data comprises:
determining the garbage decomposition data as the garbage decomposition image data;
acquiring a preset image analysis algorithm, and determining the garbage decomposition score according to the image analysis algorithm and the garbage decomposition image;
determining a target decomposition score section corresponding to the decomposition score, acquiring a first mapping relation between a preset light ray regulation and control instruction and the decomposition score section, and determining the light ray regulation and control instruction corresponding to the target decomposition score section according to the first mapping relation;
generating a light regulation scheme, wherein the light regulation scheme comprises: the light regulation and control instruction.
4. The method of claim 3, wherein said determining a decomposition score for the garbage from the image analysis algorithm and the garbage decomposition image comprises:
determining x articles contained in the garbage decomposition image, and cutting the garbage decomposition image according to the x articles to obtain x sub-pictures corresponding to the x articles, wherein x is greater than 0;
carrying out normalization processing on the x sub-pictures to obtain x normalized sub-pictures;
inputting the x normalized sub-pictures into a preset filter for median filtering to obtain x filtered sub-pictures;
inputting the x filtered sub-pictures into a preset detection model for edge detection to obtain x edge sub-pictures;
from said first edgeStarting the sub-picture to execute the decomposition sub-score calculation operation until the execution of the decomposition sub-score calculation operation of the last edge sub-picture is finished, and obtaining x decomposition sub-scores aiWherein, 0<i ≦ x, wherein the decomposition sub-score calculation operation includes:
acquiring an ith edge sub-picture;
identifying the edge outline in the ith edge sub-picture, and calculating the number N of pixel points contained in the edge outline1；
Calculating the total pixel point number N of the ith edge sub-picture2；
According to the formula ai＝N1/N2Calculating to obtain the ith decomposition sub-score a corresponding to the ith edge sub-pictureiLet i be i + 1;
dividing the x decomposition sub-scores a according to a preset decomposition score calculation formulaiCalculating to obtain the decomposition score b, wherein the decomposition score calculation formula comprises:
5. the method of claim 1, wherein the obtaining a predetermined analysis algorithm analyzes the garbage decomposition data to obtain target data, and the generating a light regulation and control scheme according to the target data comprises:
determining the garbage decomposition data as the odor concentration data;
acquiring a preset odor analysis algorithm, and determining an odor score according to the odor analysis algorithm and the odor concentration data;
determining a target odor score section corresponding to the odor score, acquiring a second mapping relation between a preset light ray regulation and control instruction and the odor score section, and determining the light ray regulation and control instruction corresponding to the target odor score section according to the second mapping relation;
generating a light regulation scheme, wherein the light regulation scheme comprises: the light regulation and control instruction.
6. The method of claim 5, wherein the determining an odor score from the odor analysis algorithm and the odor concentration data comprises:
determining x kinds of smells contained in the smell concentration data and y kinds of concentration data s corresponding to the y kinds of smellsjWherein, y>0，0<j≤y；
Acquiring a weight mapping relation corresponding to the odor and the odor weight, and determining y weights w corresponding to the x kinds of odors according to the weight mapping relationj；
According to a preset weighting calculation formula, the y concentration data s are subjected tojAnd the y weights wjCalculating to obtain the odor score k, wherein the weighted calculation formula comprises:
7. the method of claim 1, wherein the obtaining a predetermined analysis algorithm analyzes the garbage decomposition data to obtain target data, and the generating a light regulation and control scheme according to the target data comprises:
determining the garbage decomposition data as the temperature change data;
acquiring a preset temperature analysis algorithm, and determining target temperature data according to the temperature analysis algorithm and the temperature change data, wherein the temperature analysis algorithm specifically comprises the following steps: acquiring current temperature data from the temperature change data, and determining the current temperature data as target temperature data;
acquiring a preset temperature threshold, judging whether the target temperature data is greater than or equal to the temperature threshold, and if the temperature data is greater than or equal to the temperature threshold, generating a first light regulation scheme, wherein the first light regulation scheme comprises: weakening the light intensity instruction;
generating a second light regulation scheme if the temperature data is less than the temperature threshold, wherein the second light regulation scheme comprises: the light intensity command is increased.
8. A light-based waste deodorization control system, the system comprising:
a receiving unit for receiving garbage decomposition data of the sensor;
the analysis unit is used for acquiring a preset analysis algorithm to analyze the garbage decomposition data to obtain target data and generating a light regulation and control scheme according to the target data;
and the regulating and controlling unit is used for regulating and controlling the light ray emitter according to the light ray regulating and controlling scheme, and the light ray emitter is used for emitting light to deodorize garbage.
9. An electronic device comprising a processor, a memory, a communication interface, and one or more programs stored in the memory and configured to be executed by the processor, the programs comprising instructions for performing the steps in the method of any of claims 1-7.
10. A computer-readable storage medium, characterized in that the computer-readable storage medium stores a computer program which is executed by a processor to implement the method of any one of claims 1 to 7.
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