CN111815493B - Environment-friendly gold generation method of biodegradation system and related products - Google Patents
Environment-friendly gold generation method of biodegradation system and related products Download PDFInfo
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Abstract
The application discloses an environmental protection gold generation method of a biodegradation system and a related product, wherein the method is used for the biodegradation system and comprises the following steps: the method comprises the steps that a biodegradation system receives garbage delivery and obtains a first user corresponding to a garbage bag for the garbage delivery; the biodegradation system detects the garbage to determine the classification score of the garbage; the biodegradation system determines the environmental protection gold of the garbage delivery to the classification score, and records the environmental protection gold in the account of the first user. The technical scheme provided by the application has the advantage of high user experience.
Description
Technical Field
The application relates to the field of environmental protection treatment, in particular to an environmental protection gold generation method of a biodegradation system and related products.
Background
Along with the improvement of the living standard of people, garbage disposal gradually becomes a social hot problem, and at present, garbage disposal modes are generally unified by transferring garbage to a garbage station after garbage collection.
In the prior art, garbage stations need to treat garbage in a classified manner, so that the garbage treatment station is low in cost and high in environmental protection performance for classified garbage, but the existing technical scheme only has certain requirements for garbage treatment classification, and has no feedback on classification results, so that classified users are completely consistent with users with poor classification, the enthusiasm of garbage classification is influenced, and the user experience is influenced.
Disclosure of Invention
The embodiment of the application provides an environment-friendly gold generation method of a biodegradation system and a related product, which can realize feedback of garbage classification results in an environment-friendly gold mode, improve the enthusiasm of garbage classification and have the advantage of improving user experience.
In a first aspect, embodiments of the present application provide an environmental gold generation method of a biodegradation system, the method comprising the steps of:
the method comprises the steps that a biodegradation system receives garbage delivery and obtains a first user corresponding to a garbage bag for the garbage delivery;
the biodegradation system detects the garbage to determine the classification score of the garbage;
the biodegradation system determines the environmental protection gold of the garbage delivery to the classification score, and records the environmental protection gold in the account of the first user.
Optionally, the obtaining the first user corresponding to the garbage bag for delivering the garbage specifically includes:
the biodegradation system scans the two-dimensional code of the garbage bag to determine the identification ID of the garbage bag, and inquires the distribution record of the garbage bag to determine the first user corresponding to the identification ID;
the biodegradation system acquires a first picture of garbage delivery, and performs face recognition on the first picture to determine a first user corresponding to the first picture.
Optionally, the detecting the garbage by the biodegradation system to determine the classification score of the garbage specifically includes:
obtaining a classification score according to parameter calculation;
the parameters include: and the garbage bag delivering record, the large garbage client actively reports the record, and the garbage proportion in the garbage bag is scored.
Optionally, the calculating according to the parameters to obtain the classification score specifically includes:
classification score = a first score + b second score + c third score;
wherein a, b and c are weight values of a first score, a second score and a third score respectively;
the first score is a garbage bag delivery record score, the second score is a record score actively reported by a large garbage client, and the third score is a garbage proportion score in the garbage bag.
Optionally, the implementation manner of the garbage proportion scoring specifically includes:
detecting the leaf weight Z1 of the leaf and the sand content in the garbage bag, determining the total weight Z according to the weight detection, determining the sand content according to the total weight according to the leaf weight, and determining the third fraction of the garbage bag according to the sand content and the weight ratio;
the specific way of detecting the weight z1 of the leaves and the sand stone content in the garbage bag comprises the following steps:
setting garbage of a garbage bag to be a fixed height h, collecting 2n pictures at a fixed frequency, wherein the first n pictures in the 2n pictures are n pictures with white light as the bottom color, the last n pictures are n pictures with black light as the bottom color, splicing the first n pictures to obtain a first garbage picture, splicing the last n pictures to obtain a second garbage picture, carrying out gray processing on the first garbage picture to obtain a first gray picture, identifying the number beta of white pixels in the first gray picture, carrying out gray processing on the second garbage picture to obtain a second gray picture, identifying the number gamma of black pixels in the second gray picture, such as beta=gamma, calculating to obtain the proportion P of the beta pixels, and calculating according to the proportion P to obtain the weight of leaves.
In a second aspect, there is provided a biodegradation system, the system comprising:
the receiving and acquiring unit is used for receiving the garbage delivery and acquiring a first user corresponding to the garbage bag for the garbage delivery;
the detection scoring unit is used for detecting the garbage and determining the classification score of the garbage;
and the environmental protection gold generation unit is used for determining the environmental protection gold delivered by the garbage for the classification score and recording the environmental protection gold in the account of the first user.
Optionally, the receiving and acquiring unit is specifically configured to scan a two-dimensional code of the garbage bag to determine an identifier ID of the garbage bag, and query an allocation record of the garbage bag to determine a first user corresponding to the identifier ID;
or acquiring a first picture of the garbage delivery, and carrying out face recognition on the first picture to determine a first user corresponding to the first picture.
Optionally, the detection scoring unit is specifically configured to calculate a classification score according to the parameter; the parameters include: the garbage bag delivering records, the large garbage client actively reports the records, and the garbage proportion in the garbage bags is scored;
the step of calculating the classification score according to the parameters specifically comprises the following steps:
classification score = a first score + b second score + c third score;
wherein a, b and c are weight values of a first score, a second score and a third score respectively;
the first score is the delivery record score of the garbage bag, the second score is the active report record score of the large garbage client, the third score is the proportion score of the garbage in the garbage bag,
the implementation mode of the garbage proportion scoring specifically comprises the following steps:
detecting the leaf weight Z1 of the leaf and the sand content in the garbage bag, determining the total weight Z according to the weight detection, determining the sand content according to the total weight according to the leaf weight, and determining the third fraction of the garbage bag according to the sand content and the weight ratio;
the specific way of detecting the weight z1 of the leaves and the sand stone content in the garbage bag comprises the following steps:
setting garbage of a garbage bag to be a fixed height h, collecting 2n pictures at a fixed frequency, wherein the first n pictures in the 2n pictures are n pictures with white light as the bottom color, the last n pictures are n pictures with black light as the bottom color, splicing the first n pictures to obtain a first garbage picture, splicing the last n pictures to obtain a second garbage picture, carrying out gray processing on the first garbage picture to obtain a first gray picture, identifying the number beta of white pixels in the first gray picture, carrying out gray processing on the second garbage picture to obtain a second gray picture, identifying the number gamma of black pixels in the second gray picture, such as beta=gamma, calculating to obtain the proportion P of the beta pixels, and calculating according to the proportion P to obtain the weight of leaves.
In a third aspect, embodiments of the present application provide 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 the first aspects.
In a fourth aspect, embodiments of the present application provide a computer readable storage medium storing a computer program for execution by a processor to implement a method according to any one of the first aspects.
According to the technical scheme, garbage delivery is achieved, then the first user corresponding to the garbage bag is determined according to the garbage delivery, the classification score of the garbage is determined through the biodegradation system for garbage detection, then the environmental protection gold is determined according to the classification score, and then the environmental protection gold is recorded in an account of the first user, so that feedback of classification results is achieved, garbage collectors are promoted to classify the garbage, the enthusiasm of garbage classification is improved, and user experience is improved.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for the description of the embodiments will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a schematic diagram of an electronic device according to an embodiment of the present application.
Fig. 2 is a schematic structural diagram of a biodegradation system according to an embodiment of the present application.
Fig. 3 is a schematic flow chart of an environmental protection gold generation method of a biodegradation system according to an embodiment of the present application.
Fig. 4 is a schematic diagram of a biodegradation system provided in an embodiment of the present application.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and fully with reference to the accompanying drawings, in which it is evident that the embodiments described are some, but not all embodiments of the invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
The terms "first," "second," "third," and "fourth" and the like in the description and in the claims and drawings are used for distinguishing between different objects and not necessarily for describing a particular sequential or chronological order. Furthermore, the terms "comprise" and "have," as well as any variations thereof, are intended to cover a non-exclusive inclusion. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those listed steps or elements but may 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 may be included in at least one embodiment of the invention. The appearances of such phrases 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. Those of skill in the art will explicitly and implicitly appreciate that the embodiments described herein may be combined with other embodiments.
Referring to fig. 1, fig. 1 is a schematic structural diagram of another electronic device 100 disclosed in an embodiment of the present application, where the electronic device 100 includes a storage and processing circuit 110, and a communication circuit 120 and an audio component 140 connected to the storage and processing circuit 110, and a display component 130 or a touch component may be further disposed in some specific electronic devices 100.
The electronic device 100 may include control circuitry that may include storage and processing circuitry 110. The storage and processing circuit 110 may be a memory such as a hard drive memory, a non-volatile memory (e.g., flash memory or other electronically programmable read only memory used to form a solid state drive, etc.), a volatile memory (e.g., static or dynamic random access memory, etc.), etc., as embodiments of the present application are not limited. Processing circuitry in the storage and processing circuitry 110 may be used to control the operation of the electronic device 100. The processing circuitry may be implemented based on one or more microprocessors, microcontrollers, digital signal processors, baseband processors, power management units, audio codec chips, application specific integrated circuits, display driver integrated circuits, and the like.
The storage and processing circuitry 110 may be used to run software in the electronic device 100, such as voice over internet protocol (Voice over Internet Protocol, VOIP) telephone call applications, contemporaneous translation functions, media playback applications, operating system functions, and the like. Such software may be used to perform some control operations, such as image acquisition based on a camera, ambient light measurement based on an ambient light sensor, proximity sensor measurement based on a proximity sensor, information display functions implemented based on status indicators such as status indicators of light emitting diodes, touch event detection based on a touch sensor, operations associated with performing wireless communication functions, operations associated with collecting and generating audio signals, control operations associated with collecting and processing button press event data, and other functions in electronic device 100, to name a few.
The electronic device 100 may also include an input-output circuit 150. The input-output circuit 150 is operable to cause the electronic device 100 to effect input and output of data, i.e., to allow the electronic device 100 to receive data from an external device and also to allow the electronic device 100 to output data from the electronic device 100 to an external device. The input-output circuit 150 may further include a sensor 170. The sensor 170 may include an ambient light sensor, a proximity sensor based on light and capacitance, a touch sensor (e.g., based on an optical touch sensor and/or a capacitive touch sensor, where the touch sensor may be part of a touch display screen or may be used independently as a touch sensor structure), an acceleration sensor, and other sensors, etc.
The input-output circuit 150 may also include an array of touch sensors (i.e., the display 130 may be a touch-sensitive display screen). The touch sensor may be a capacitive touch sensor formed of an array of transparent touch sensor electrodes, such as Indium Tin Oxide (ITO) electrodes, or may be a touch sensor formed using other touch technologies, such as acoustic wave touch, pressure sensitive touch, resistive touch, optical touch, etc., as embodiments of the present application are not limited.
The electronic device 100 may also include an audio component 140. The audio component 140 may be used to provide audio input and output functionality for the electronic device 100. The audio components 140 in the electronic device 100 may include speakers, microphones, buzzers, tone generators, and other components for generating and detecting sound.
The communication circuitry 120 may be used to provide the electronic device 100 with the ability to communicate with external devices. The communication circuit 120 may include analog and digital input-output interface circuits, and wireless communication circuits based on radio frequency signals and/or optical signals. The wireless communication circuitry in the communication circuitry 120 may include radio frequency transceiver circuitry, power amplifier circuitry, low noise amplifiers, switches, filters, and antennas. For example, the wireless communication circuitry in the communication circuitry 120 may include circuitry for supporting near field communication (Near Field Communication, NFC) by transmitting and receiving near field coupled electromagnetic signals. For example, the communication circuit 120 may include a near field communication antenna and a near field communication transceiver. The communication circuit 120 may also include a cellular telephone transceiver and antenna, a wireless local area network transceiver circuit and antenna, and the like.
The electronic device 100 may further include a battery, power management circuitry, and other input-output units 160. The input-output unit 160 may include buttons, levers, click wheels, scroll wheels, touch pads, keypads, keyboards, cameras, light emitting diodes or other status indicators, etc.
A user may control the operation of the electronic device 100 by inputting commands through the input-output circuit 150, and may use output data of the input-output circuit 150 to enable receiving status information and other outputs from the electronic device 100.
Referring to fig. 2, fig. 2 is a schematic structural diagram of a biodegradation system, as shown in fig. 2, the biodegradation system may include: as shown in fig. 1, and a biodegradation device 201, the biodegradation device 201 includes, but is not limited to: a waste transfer assembly including, but not limited to: garbage conveyor, drive system, barrier balustrade, etc., the biodegradation apparatus 201 can further comprise: the external communication interface may be a wired interface, such as a USB interface, a network interface, or a wired data interface, and of course, in practical application, the external communication interface may further include: wireless communication interfaces, including but not limited to: bluetooth, wifi, radio frequency interface, etc., the biodegradable device may further comprise: and the control system can control all operations of the biodegradation equipment. Of course, the structure shown in fig. 2 is only a schematic diagram, and in another structure, the electronic device may be integrated with the biodegradable device 201 in an embedded manner, and this structure is generally applied to a wired external communication interface schematic diagram, and of course, in practical application, the electronic device and the biodegradable device 201 may be detachably connected. The present application is therefore not limited to the specific forms of the above-described biodegradation device 201 and the electronic device.
Everyone throws out many rubbish every day, and in some regions that rubbish management is better, most rubbish can obtain sanitary landfill, burn, innocent treatment such as compost, and rubbish in more places is often simply piled up or landfill, leads to the odor to spread to pollute soil and underground water.
The cost of harmless treatment of garbage is very high, and the cost of treating one ton of garbage is about one hundred yuan to several hundred yuan according to the treatment mode. People consume a large amount of resources, produce the garbage in large scale, consume the garbage in large scale. The consequences would be inconceivable.
From the viewpoint of the method for classifying household garbage in each city at home and abroad, the garbage is classified by combining the resource utilization and treatment modes of local garbage according to the composition and the production amount of the garbage. Such as paper, glass, metal, plastic, etc., are generally classified as germany; australia is generally divided into compostable waste, recyclable waste, and non-recyclable waste; japan is generally classified into plastic bottles, recyclable plastics, other plastics, resource waste, large-sized waste, combustible waste, incombustible waste, hazardous waste, and the like.
Garbage classification refers to the general term of a series of activities of classifying, storing, throwing and carrying garbage according to a certain rule or standard, so as to convert the garbage into public resources. The classification aims at improving the resource value and the economic value of the garbage and striving for the best use.
Garbage classification has evolved to the present, and has entered into aspects of people's lives, for example, shenzhen regions, where it is prescribed that garbage cans in cells must be classified as well as garbage cans in public places such as shopping malls. Although the improvement of garbage classification is promoted on the configuration of hardware, how good garbage classification depends on the discretion of each person, and no corresponding feedback exists on the garbage classification result, so that garbage collectors only need to collect garbage in the garbage can, and the garbage classification result is related to garbage delivery because the garbage classification is not directly related to the garbage classification result, and the garbage classification result is fed back to the garbage collectors, so that the garbage classification effect is promoted to be better.
Referring to fig. 3, fig. 3 provides an environmentally friendly gold generation method of a biodegradation system, which can be performed by the biodegradation system as shown in fig. 2, as shown in fig. 3, comprising the steps of:
step S301, a biodegradation system receives garbage delivery and acquires a first user corresponding to a garbage bag for the garbage delivery;
step S302, detecting the garbage by the biodegradation system to determine the classification score of the garbage;
step S303, the biodegradation system determines the environmental protection gold of the garbage delivery according to the classification score, and records the environmental protection gold in the account of the first user.
According to the technical scheme, garbage delivery is achieved, then the first user corresponding to the garbage bag is determined according to the garbage delivery, the biodegradation system detects the garbage to determine the classification score of the garbage, then the environmental protection gold is determined according to the classification score, and then the environmental protection gold is recorded in the account of the first user, so that feedback of classification results is achieved, garbage collectors are promoted to classify the garbage, the enthusiasm of garbage classification is improved, and user experience is improved.
The implementation method for detecting the garbage by the biodegradation system in the step S302 to determine the classification score of the garbage specifically may include:
the classification score may be determined by several parameters including, but not limited to:
A. and (5) delivering records by using garbage bags.
B. And the large garbage client actively reports the mechanism.
C. Analysis of the content of leaves and sand in the garbage bag, weight detection and weight proportioning scoring.
The bulk waste may have multiple dimensions, e.g., waste with a weight exceeding an important threshold is identified as bulk waste, and waste with a volume exceeding a volume threshold is identified as bulk waste. Of course, in practical application, the large garbage can be customized according to different types of garbage, and the specific definition or distinguishing mode of the large garbage is not limited in the application.
The implementation manner of the first user corresponding to the garbage bag for acquiring the garbage delivery specifically may include:
the biodegradation system scans the two-dimensional code of the garbage bag to determine the identification ID of the garbage bag, and inquires the distribution record of the garbage bag to determine the first user corresponding to the identification ID.
Such a scenario is applicable to relatively stationary scenarios, e.g. cleaning personnel who clean the street, and the disposal bags allocated to the cleaning personnel can be recorded, so that when recycling, the corresponding first user can be determined directly from the disposal bags.
Specifically, for example, three persons of the cleaning person a, the cleaning person B and the cleaning person C respectively allocate identification IDs of different number segments, or when the identification IDs of the garbage bags are manufactured, employee numbers of the cleaning person a, the cleaning person B and the cleaning person C are directly contained in the front portion or the rear portion of the identification IDs, so that the person can be directly determined without inquiring allocation records, and in practical application, the system can be recorded after the IDs of the garbage bags for allocating the cleaning person a, the cleaning person B and the cleaning person C are bound with names of the employees.
The implementation manner of the first user corresponding to the garbage bag for acquiring the garbage delivery specifically may include:
the biodegradation system acquires a first picture of garbage delivery, and performs face recognition on the first picture to determine a first user corresponding to the first picture.
The face recognition algorithm can adopt the existing face recognition algorithm, such as Huazhi face recognition algorithm, baidu face recognition algorithm, google face recognition algorithm and the like.
Optionally, if the first picture is identified by using the artificial intelligence model to determine the first user corresponding to the first picture, a storage manner of the input data matrix a×m of the artificial intelligence model may be stored in the following manner.
If M can be divided by 5, the matrix A is divided by M, the input data block is taken as a basic storage unit, and the basic storage unit is stored in a column-first and row-later mode; if M cannot be divided by 5, dividing the matrix A by M into M input data blocks along the column direction, wherein the first M-1 input data blocks in M are 5 column elements, the last input data block is r column elements, the first M-1 input data blocks are basic storage units, the basic storage units store the input data blocks in a column-first and row-later mode, and the storage mode of the last input data block is determined according to the value of r.
If r=1, 2, the last 1 column of elements are stored in the column direction, if r=3, 4, 1, 2 columns of zero elements are added at the edge to obtain an added data block, and the added data block is stored in a mode of preceding and succeeding columns. The above r is the remainder of M/5.
Wherein the A, M values are integers of 10 or more.
In the face recognition algorithm of the artificial intelligent model, convolution operation accounts for a large part of operation in the whole neural network operation, for convolution operation, a lot of weight values are 5*5 convolution kernels, for 5*5 convolution kernels, if the convolution kernels are stored in a normal mode, a large amount of interaction of data, such as a matrix of 10 x 10, is caused when the data is extracted because of more dispersed element values, normal storage is generally in a column-first-row or column-first-last-row mode, when a convolutionally calculated data block 5*5 is extracted, 10 times are required to be extracted because each time the data is 128 bits of data, and 32 bits of a single element are required to be extracted 2 times for each data of a data block 5*5, and 3 element values of the last time are required to be discarded. However, by adopting the technical scheme of the application, since the basic data block is stored in a column-first-row mode, and the data block 5*5 is stored together, then 25 elements are required to be extracted 7 times, 24 elements in the first 6 times are all effective element values, and the last 3 element values in the last 1 extracted 4 element values are discarded.
The active reporting mechanism of the large garbage client side specifically comprises the following steps:
after the biodegradation system determines the identification ID of the garbage bag, inquiring whether the garbage bag has the reporting record identical to the identification ID from a historical database, if so, determining that the garbage bag has the reporting record, otherwise, determining that the garbage bag has no reporting record.
Optionally, the specific implementation manner of the weight ratio scoring in the garbage bag from analysis to weight detection to weight ratio scoring of the content of the leaves and the sand in the garbage bag may include:
detecting the leaf weight Z1 of the leaf and the sand content in the garbage bag, determining the total weight Z according to the weight detection, determining the sand content according to the total weight according to the leaf weight, and determining the third fraction of the garbage bag according to the sand content and the weight ratio.
The specific way of detecting the weight z1 of the leaves and the sand content in the garbage bag can comprise:
setting garbage of a garbage bag to be a fixed height h, collecting 2n pictures at a fixed frequency, wherein the first n pictures in the 2n pictures are n pictures with white light as the bottom color, the last n pictures are n pictures with black light as the bottom color, splicing the first n pictures to obtain a first garbage picture, splicing the last n pictures to obtain a second garbage picture, carrying out gray processing on the first garbage picture to obtain a first gray picture, identifying the number beta of white pixels in the first gray picture, carrying out gray processing on the second garbage picture to obtain a second gray picture, identifying the number gamma of black pixels in the second gray picture, such as beta=gamma, calculating to obtain the proportion P of the beta pixels, and calculating according to the proportion P to obtain the weight of leaves.
The principle is that garbage in a garbage bag is set to be at a fixed height h, so that the leaves cannot be stacked, then n pictures can be shot with 2 different colors, because the distribution of the garbage is possibly long, one picture cannot be shot, the pictures are spliced to obtain a complete garbage picture, then the pixel points are determined to realize the distribution of the leaves, and for an empty part, the area is white or black due to the irradiation of background light, the area can be displayed in the shot picture, and therefore, the uncontrolled part, namely the volume occupied by the leaves, can be realized, and the corresponding weight of the leaves can be calculated according to the proportion p because the height h is fixed and the density of the leaves is known.
Leaf weight = ρp S h;
where ρ is the density of the leaves and S is the surface area of the whole picture.
In practice, the classification score may be determined in three ways as described above for A, B, C,
in a specific implementation manner, for example, in an alternative technical scheme, the delivery record may be a number of times of historical delivery of the system, and in another alternative technical scheme, the delivery record may also be a frequency of historical delivery of the system, and then the first score 1 of the mode a corresponding to the delivery record is determined according to a numerical query score list of the delivery record.
For mode B, a constant score, i.e., a second score α, may be set, if a report is made, then it is determined that the first user has a constant value α, otherwise no α is present.
For mode C, the third score may be directly extracted.
Classification score = first score + second score + third score.
Of course, in practical applications, the weights of the scores may also be configured, for example:
classification score = a first score + b second score + c third score.
The a, the b and the c are weight values of a first score, a second score and a third score respectively.
Referring to fig. 4, fig. 4 provides a biodegradation system, the system comprising:
a receiving and acquiring unit 401, configured to receive a rubbish delivery, and acquire a first user corresponding to a rubbish bag delivered by the rubbish;
a detection scoring unit 402, configured to detect the garbage and determine a classification score of the garbage;
the environmental protection gold generation unit 403 determines environmental protection gold of the garbage delivery for the classification score, and records the environmental protection gold in the account of the first user.
The present application also provides a computer storage medium storing a computer program for electronic data exchange, the computer program causing a computer to execute part or all of the steps of the method for generating eco-gold of any one of the biodegradation systems described in the above method embodiments.
The present application also provides 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 an environmentally friendly gold generation method of any one of the biodegradation systems described in the method embodiments described above.
In the foregoing embodiments, the descriptions of the embodiments are emphasized, and for parts of one embodiment that are not described in detail, reference may be made to related descriptions of other embodiments.
In the several embodiments provided in this application, it should be understood that the disclosed apparatus may be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative, such as the division of the units, merely a logical function division, and there may be additional manners of dividing the actual implementation, such as multiple units or components may be combined or integrated into another system, or some features may be omitted, or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or units, or may be in electrical or other forms.
The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in each embodiment of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units described above may be implemented either in hardware or in software program modules.
The foregoing is a description of embodiments of the present application, and it should be noted that, for those skilled in the art, several improvements and modifications can be made without departing from the principles of the embodiments of the present application, and these improvements and modifications are also considered as the protection scope of the present application.
Claims (8)
1. An environmental gold generation method of a biodegradation system, the method being for a biodegradation system, the method comprising:
the method comprises the steps that a biodegradation system receives garbage delivery and obtains a first user corresponding to a garbage bag for the garbage delivery;
the biodegradation system detects the garbage to determine the classification score of the garbage;
the biodegradation system determines the environmental protection gold of the garbage delivery according to the classification score, and records the environmental protection gold in the account of the first user;
the first user corresponding to the garbage bag for acquiring the garbage delivery specifically comprises the following steps:
the biodegradation system scans the two-dimensional code of the garbage bag to determine the identification ID of the garbage bag, and inquires the distribution record of the garbage bag to determine the first user corresponding to the identification ID;
the method comprises the steps that a biodegradation system obtains a first picture of garbage delivery, and face recognition is carried out on the first picture to determine a first user corresponding to the first picture;
identifying and determining a first user corresponding to the first picture by adopting an artificial intelligent model, and storing an input data matrix A x M of the artificial intelligent model in the following manner;
m can divide 5, matrix A.times.M takes input data block as basic storage unit, basic storage unit stores according to first column and then line mode; m can not divide 5 completely, divide matrix A by M into M pieces of input data block along the direction of column, M first M-1 pieces of input data block are 5 columns of elements in M, last input data block is r columns of elements, first M-1 pieces of input data block, input data block are basic storage unit, basic storage unit store according to the first column and then the way, confirm the storage mode of the last input data block according to the value of r;
r=1, 2, storing the last 1 column of elements in the column direction, r=3, 4, adding 1, 2 columns of zero elements at the edge to obtain an added data block, and storing the added data block in a preceding and subsequent column mode;
r is the remainder of M/5;
wherein the A, M values are integers of 10 or more.
2. The method of claim 1, wherein the detecting the trash by the biodegradation system to determine the classification score of the trash specifically comprises:
obtaining a classification score according to parameter calculation;
the parameters include: and the garbage bag delivering record, the large garbage client actively reports the record, and the garbage proportion in the garbage bag is scored.
3. The method according to claim 2, wherein the calculating the classification score according to the parameter comprises:
classification score = a first score + b second score + c third score;
wherein a, b and c are weight values of a first score, a second score and a third score respectively;
the first score is a garbage bag delivery record score, the second score is a record score actively reported by a large garbage client, and the third score is a garbage proportion score in the garbage bag.
4. A method according to claim 3, wherein the implementation of the garbage proportioning scoring comprises:
detecting the leaf weight Z1 of the leaf and the sand content in the garbage bag, determining the total weight Z according to the weight detection, determining the sand content according to the total weight according to the leaf weight, and determining the third fraction of the garbage bag according to the sand content and the weight ratio;
the specific way of detecting the weight z1 of the leaves and the sand stone content in the garbage bag comprises the following steps:
setting garbage of a garbage bag to be a fixed height h, collecting 2n pictures at a fixed frequency, wherein the first n pictures in the 2n pictures are n pictures with white light as the bottom color, the last n pictures are n pictures with black light as the bottom color, splicing the first n pictures to obtain a first garbage picture, splicing the last n pictures to obtain a second garbage picture, carrying out gray processing on the first garbage picture to obtain a first gray picture, identifying the number beta of white pixels in the first gray picture, carrying out gray processing on the second garbage picture to obtain a second gray picture, identifying the number gamma of black pixels in the second gray picture, such as beta=gamma, calculating to obtain the proportion P of the beta pixels, and calculating according to the proportion P to obtain the weight of leaves.
5. A biodegradation system, said system comprising:
the receiving and acquiring unit is used for receiving the garbage delivery and acquiring a first user corresponding to the garbage bag for the garbage delivery;
the detection scoring unit is used for detecting the garbage and determining the classification score of the garbage;
the environmental protection gold generation unit is used for determining environmental protection gold of the garbage delivery for the classification score and recording the environmental protection gold in the account of the first user;
the receiving and acquiring unit is specifically used for scanning the two-dimensional code of the garbage bag to determine the identification ID of the garbage bag, inquiring the distribution record of the garbage bag to determine the first user corresponding to the identification ID;
acquiring a first picture of garbage delivery, and carrying out face recognition on the first picture to determine a first user corresponding to the first picture;
identifying and determining a first user corresponding to the first picture by adopting an artificial intelligent model, and storing an input data matrix A x M of the artificial intelligent model in the following manner;
m can divide 5, matrix A.times.M takes input data block as basic storage unit, basic storage unit stores according to first column and then line mode; m can not divide 5 completely, divide matrix A by M into M pieces of input data block along the direction of column, M first M-1 pieces of input data block are 5 columns of elements in M, last input data block is r columns of elements, first M-1 pieces of input data block, input data block are basic storage unit, basic storage unit store according to the first column and then the way, confirm the storage mode of the last input data block according to the value of r;
r=1, 2, storing the last 1 column of elements in the column direction, r=3, 4, adding 1, 2 columns of zero elements at the edge to obtain an added data block, and storing the added data block in a preceding and subsequent column mode;
r is the remainder of M/5;
wherein the A, M values are integers of 10 or more.
6. The system of claim 5, wherein the system further comprises a controller configured to control the controller,
the detection scoring unit is specifically used for calculating according to parameters to obtain classification scores; the parameters include: the garbage bag delivering records, the large garbage client actively reports the records, and the garbage proportion in the garbage bags is scored;
the step of calculating the classification score according to the parameters specifically comprises the following steps:
classification score = a first score + b second score + c third score;
wherein a, b and c are weight values of a first score, a second score and a third score respectively;
the first score is the delivery record score of the garbage bag, the second score is the active report record score of the large garbage client, the third score is the proportion score of the garbage in the garbage bag,
the implementation mode of the garbage proportion scoring specifically comprises the following steps:
detecting the leaf weight Z1 of the leaf and the sand content in the garbage bag, determining the total weight Z according to the weight detection, determining the sand content according to the total weight according to the leaf weight, and determining the third fraction of the garbage bag according to the sand content and the weight ratio;
the specific way of detecting the weight z1 of the leaves and the sand stone content in the garbage bag comprises the following steps:
setting garbage of a garbage bag to be a fixed height h, collecting 2n pictures at a fixed frequency, wherein the first n pictures in the 2n pictures are n pictures with white light as the bottom color, the last n pictures are n pictures with black light as the bottom color, splicing the first n pictures to obtain a first garbage picture, splicing the last n pictures to obtain a second garbage picture, carrying out gray processing on the first garbage picture to obtain a first gray picture, identifying the number beta of white pixels in the first gray picture, carrying out gray processing on the second garbage picture to obtain a second gray picture, identifying the number gamma of black pixels in the second gray picture, such as beta=gamma, calculating to obtain the proportion P of the beta pixels, and calculating according to the proportion P to obtain the weight of leaves.
7. 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 1-4.
8. 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 4.
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Citations (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103466242A (en) * | 2012-06-07 | 2013-12-25 | 深圳商联商用科技有限公司 | Garbage sort management method and system |
| CN104044842A (en) * | 2014-06-23 | 2014-09-17 | 陈斌 | Garbage sorting platform and method based on two-dimensional code recognition technology |
| CN105173477A (en) * | 2015-08-31 | 2015-12-23 | 武汉轻工大学 | Garbage can and garbage classification collection system and method based on network platform |
| CN105540320A (en) * | 2016-02-02 | 2016-05-04 | 张志勇 | Intelligent garbage bag classified distribution system |
| CN106295965A (en) * | 2016-07-29 | 2017-01-04 | 暨南大学 | Waste sorting recycle method based on the Internet, system and refuse classification terminating machine |
| CN106557781A (en) * | 2016-11-14 | 2017-04-05 | 北京爱知之星科技股份有限公司 | The grader acquisition methods of recognition of face and device |
| CN106904385A (en) * | 2017-04-21 | 2017-06-30 | 杭州轻松互连科技发展有限公司 | Refuse classification canonical system and system |
| CN107330478A (en) * | 2017-07-24 | 2017-11-07 | 广东工业大学 | A kind of cherry tomato sorting technique, system and cherry tomato on-line sorting system |
| CN107792561A (en) * | 2017-09-30 | 2018-03-13 | 深圳利万联科技有限公司 | A kind of sorting rubbish smartphone system and method |
| CN108706246A (en) * | 2018-05-31 | 2018-10-26 | 深圳市零度智控科技有限公司 | Intelligent refuse classification reclaimer, control method, device and storage medium |
| CN108910325A (en) * | 2018-04-25 | 2018-11-30 | 湖州绿华环保科技有限公司 | Intelligent garbage classification system and classification method |
| CN108974697A (en) * | 2018-08-17 | 2018-12-11 | 广州尚合智能科技有限公司 | The control method of garbage reclamation cabinet, garbage retrieving system and garbage reclamation cabinet |
| CN109299790A (en) * | 2018-08-21 | 2019-02-01 | 杭州复杂美科技有限公司 | Garbage classification motivational techniques and device, equipment and storage medium |
| CN109299633A (en) * | 2017-07-25 | 2019-02-01 | 上海中科顶信医学影像科技有限公司 | Wrinkle detection method, system, equipment and medium |
-
2019
- 2019-04-11 CN CN201910290106.2A patent/CN111815493B/en active Active
Patent Citations (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103466242A (en) * | 2012-06-07 | 2013-12-25 | 深圳商联商用科技有限公司 | Garbage sort management method and system |
| CN104044842A (en) * | 2014-06-23 | 2014-09-17 | 陈斌 | Garbage sorting platform and method based on two-dimensional code recognition technology |
| CN105173477A (en) * | 2015-08-31 | 2015-12-23 | 武汉轻工大学 | Garbage can and garbage classification collection system and method based on network platform |
| CN105540320A (en) * | 2016-02-02 | 2016-05-04 | 张志勇 | Intelligent garbage bag classified distribution system |
| CN106295965A (en) * | 2016-07-29 | 2017-01-04 | 暨南大学 | Waste sorting recycle method based on the Internet, system and refuse classification terminating machine |
| CN106557781A (en) * | 2016-11-14 | 2017-04-05 | 北京爱知之星科技股份有限公司 | The grader acquisition methods of recognition of face and device |
| CN106904385A (en) * | 2017-04-21 | 2017-06-30 | 杭州轻松互连科技发展有限公司 | Refuse classification canonical system and system |
| CN107330478A (en) * | 2017-07-24 | 2017-11-07 | 广东工业大学 | A kind of cherry tomato sorting technique, system and cherry tomato on-line sorting system |
| CN109299633A (en) * | 2017-07-25 | 2019-02-01 | 上海中科顶信医学影像科技有限公司 | Wrinkle detection method, system, equipment and medium |
| CN107792561A (en) * | 2017-09-30 | 2018-03-13 | 深圳利万联科技有限公司 | A kind of sorting rubbish smartphone system and method |
| CN108910325A (en) * | 2018-04-25 | 2018-11-30 | 湖州绿华环保科技有限公司 | Intelligent garbage classification system and classification method |
| CN108706246A (en) * | 2018-05-31 | 2018-10-26 | 深圳市零度智控科技有限公司 | Intelligent refuse classification reclaimer, control method, device and storage medium |
| CN108974697A (en) * | 2018-08-17 | 2018-12-11 | 广州尚合智能科技有限公司 | The control method of garbage reclamation cabinet, garbage retrieving system and garbage reclamation cabinet |
| CN109299790A (en) * | 2018-08-21 | 2019-02-01 | 杭州复杂美科技有限公司 | Garbage classification motivational techniques and device, equipment and storage medium |
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| Publication number | Publication date |
|---|---|
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