CN113666032A - Community bagged garbage treatment equipment and monitoring system - Google Patents
Community bagged garbage treatment equipment and monitoring system Download PDFInfo
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- CN113666032A CN113666032A CN202110900906.9A CN202110900906A CN113666032A CN 113666032 A CN113666032 A CN 113666032A CN 202110900906 A CN202110900906 A CN 202110900906A CN 113666032 A CN113666032 A CN 113666032A
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- B—PERFORMING OPERATIONS; TRANSPORTING
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Abstract
The application provides a community bagged refuse treatment equipment and monitored control system, community bagged refuse treatment equipment includes: the garbage disposal system comprises a garbage throwing belt, a garbage detection belt, a garbage compression belt and a garbage disposal belt; the garbage throwing belt comprises a first conveying belt and a weighing detection mechanism, the first conveying belt is arranged on the weighing detection mechanism, and the weighing detection mechanism can detect the weight of bagged garbage thrown on the first conveying belt; the garbage detection belt comprises a second conveyor belt, a garbage pre-detection mechanism, an X-ray detection mechanism and a garbage backflow assembly, the second conveyor belt is connected with the first conveyor belt, and the garbage pre-detection mechanism, the X-ray detection mechanism and a first swing rod are sequentially arranged on the second conveyor belt; the community bagged garbage treatment equipment improves the garbage classification efficiency and avoids secondary pollution; the whole process automation of garbage pre-inspection, classification identification, compression and treatment is realized, so that the recycling of social resources is promoted.
Description
Technical Field
The utility model belongs to the technical field of environmental protection equipment, more specifically say, relate to a community rubbish disposal equipment in bags and monitored control system.
Background
With the emphasis of the country on environmental protection, the garbage classification is popularized nationwide and gradually enters communities to implement implementation. At the current garbage classification station that sets up in the community, all need the people to classify rubbish in advance to throw into appointed classification dustbin, at the earlier stage of garbage classification popularization, ordinary people have not been used to the categorised mode of rubbish, and people do not carry out manual classification to rubbish many times, but a whole bag of various rubbish mixes together, just finds a dustbin and drops into, can not reach the categorised effect of rubbish.
Some current devices and methods for automatic garbage classification adopt a metal detector to detect metals in garbage, such as an automatic garbage sorting device with application number CN202110554458.1, but the metal detector can only detect metal garbage, and cannot accurately detect which type of 4 garbage classification categories (recyclable, kitchen garbage, harmful garbage and other garbage) the garbage specifically belongs to in the national regulations. Some of the garbage is identified by using a visible light camera; for visible light camera discernment rubbish, like a surface of water rubbish collection sorting unit and method based on machine vision of application number CN202110516646.5, it requires that the rubbish is exposed visible, can not discern the rubbish in bags, if unpack the detection in bags rubbish apart, increased the manpower demand on the one hand, increased secondary pollution and bacterium spread's possibility on the other hand.
In addition, due to the fact that the community garbage is various and complex, some prohibited articles such as explosives and drugs may exist, and when a lot of garbage is mixed together, physical or chemical reactions are easy to occur, and serious harm is caused to community residents. In addition, related staff such as property and the like cannot monitor the working state and the garbage storage amount of each garbage disposal device in real time, and the devices are often damaged.
Disclosure of Invention
An object of the embodiment of the application is to provide a community bagged garbage treatment device and a monitoring system, so as to solve the technical problems of insufficient accuracy, serious secondary pollution, insufficient safety and insufficient supervision existing in the classification process of bagged garbage in the prior art.
In order to achieve the purpose, the technical scheme adopted by the application is as follows: provided is a community bagged garbage disposal apparatus, comprising: the garbage disposal system comprises a garbage throwing belt, a garbage detection belt, a garbage compression belt and a garbage disposal belt;
the garbage throwing belt comprises a first conveying belt and a weighing detection mechanism, the first conveying belt is arranged on the weighing detection mechanism, and the weighing detection mechanism can detect the weight of bagged garbage thrown on the first conveying belt;
the garbage detection belt comprises a second conveyor belt, a garbage pre-detection mechanism, an X-ray detection mechanism and a garbage backflow assembly, the second conveyor belt is connected with the first conveyor belt, and the garbage pre-detection mechanism, the X-ray detection mechanism and a first swing rod are sequentially arranged on the second conveyor belt;
the garbage pre-inspection mechanism can pre-inspect the bagged garbage to judge the safety of the bagged garbage; the X-ray detection mechanism can detect and identify the type of the bagged garbage so as to judge the accuracy of garbage classification; the garbage backflow component can backflow bagged garbage with inaccurate garbage classification, the garbage compression belt can compress the bagged garbage with accurate garbage classification, and the garbage disposal belt can dispose the compressed bagged garbage according to categories.
Preferably, the garbage pre-inspection mechanism comprises a portal frame, a scanning camera and a light curtain, the portal frame is arranged on the second conveyor belt, and the scanning camera is mounted at the top of the portal frame and used for scanning bagged garbage on the first conveyor belt; the light curtain is arranged on the inner side of the portal frame and used for scanning the volume of the bagged garbage.
Preferably, the garbage pre-inspection mechanism further comprises a temperature detector and a contraband detection device, the temperature detector and the contraband detection device are arranged on the inner side of the portal frame, the temperature detector is used for detecting the temperature of the bagged garbage, and the contraband detection device is used for detecting the components of contraband in the bagged garbage.
Preferably, the garbage pre-detection mechanism further comprises a liquid detector and a metal detector, the liquid detector and the metal detector are arranged on the inner side of the portal frame, the liquid detector is used for detecting liquid components of bagged garbage, and the metal detector is used for detecting metal components of the bagged garbage.
Preferably, the garbage pre-inspection mechanism further comprises a straightening mechanism, the straightening mechanism comprises an infrared sensor, a push plate and a power mechanism for driving the push plate to swing, the infrared sensor and the power mechanism are arranged on the inner side of the portal frame, the infrared sensor is used for sensing the position of bagged garbage, and the power mechanism can drive the push plate to straighten the position of the bagged garbage.
Preferably, the garbage backflow component comprises a first swing rod component and a garbage can to be classified, the first swing rod component is arranged at the tail end of the second conveying belt, the garbage can to be classified is arranged on one side of the second conveying belt, and bagged garbage can be pushed into the garbage can to be classified through the first swing rod component.
Preferably, the garbage compression belt comprises a garbage compressor and a sewage treatment mechanism, the garbage compressor can compress bagged garbage, and the sewage treatment mechanism is communicated with the garbage compressor and used for discharging sewage generated during compression of the bagged garbage.
Preferably, the garbage disposal belt comprises a third conveying belt, a second swing rod assembly, a third swing rod assembly and a plurality of classified garbage cans, the third conveying belt is connected with the garbage compression belt, the second swing rod assembly and the third swing rod assembly are arranged on the third conveying belt, and the classified garbage cans are respectively arranged on two sides of the third conveying belt.
Preferably, the community bagged garbage treatment equipment further comprises a human-computer interaction assembly, the human-computer interaction interface comprises a touch screen, a face recognition camera and an alarm lamp, the touch screen is used for displaying system information and allowing community residents to select garbage types, the face recognition camera recognizes identities, and the alarm lamp is used for prompting garbage classification detection results.
The application also provides a community bagged garbage processing monitoring system, which comprises a cloud server, community monitoring equipment and at least one community bagged garbage processing device;
the community bagged garbage disposal equipment is connected with the cloud server, and the cloud server is connected with the community monitoring equipment, so that the community monitoring equipment can monitor the operation condition of each community bagged garbage disposal equipment through the cloud server.
Compared with the prior art, the community bagged garbage treatment equipment has the advantages that the bagged garbage can be pre-inspected through the garbage throwing belt and the garbage detection belt, the safety of the bagged garbage is judged, the risk of damaging the equipment is eliminated, and the garbage classification efficiency is improved; the X-ray detection mechanism is adopted to detect and identify the category of the bagged garbage, and the accuracy of garbage classification is judged under the condition that the bagged garbage is not opened, so that secondary pollution is effectively avoided; the bagged garbage with inaccurate garbage classification can be subjected to backflow through the garbage backflow component, so that community residents can classify the bagged garbage again; the bagged garbage with accurate garbage classification can be compressed through the garbage compression belt, so that the volume of the bagged garbage is reduced; the compressed bagged garbage can be treated according to categories through the garbage treatment belt; the whole process automation of garbage pre-inspection, classification identification, compression and treatment is realized, so that the recycling of social resources is promoted.
Compared with the prior art, the community monitoring equipment can monitor the running condition of each community bagged garbage disposal equipment through the cloud server, remotely obtain the garbage storage amount of each community bagged garbage disposal equipment, and timely clean the overflowing garbage can; dangerous goods and contraband goods in the community garbage are found in time, and the safety of community residents is ensured.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the embodiments or the prior art descriptions will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without inventive exercise.
FIG. 1 is a front view of a community bagged refuse treatment facility according to an embodiment of the present application;
FIG. 2 is a top view of the community bagged refuse treatment facility of FIG. 1;
FIG. 3 is a front view of the debris detection zone of FIG. 1;
FIG. 4 is a perspective view of the debris detection zone of FIG. 3;
FIG. 5 is a perspective view of the mechanism of FIG. 4;
FIG. 6 is a schematic view (one) of the waste compression zone and the waste disposal zone of FIG. 1;
FIG. 7 is a schematic view of the waste compression zone and the waste disposal zone of FIG. 1 in a second position;
FIG. 8 is a schematic view (III) of the waste compression zone and the waste disposal zone of FIG. 1;
FIG. 9 is a schematic view (IV) of the waste compression zone and the waste disposal zone of FIG. 1;
fig. 10 is a schematic diagram of a monitoring system according to an embodiment of the present application.
Detailed Description
In order to make the technical problems, technical solutions and advantageous effects to be solved by the present application clearer, the present application is further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
It will be understood that when an element is referred to as being "secured to" or "disposed on" another element, it can be directly on the other element or be indirectly on the other element. When an element is referred to as being "connected to" another element, it can be directly connected to the other element or be indirectly connected to the other element.
It will be understood that the terms "length," "width," "upper," "lower," "front," "rear," "left," "right," "vertical," "horizontal," "top," "bottom," "inner," "outer," and the like, as used herein, refer to an orientation or positional relationship indicated in the drawings that is solely for the purpose of facilitating the description and simplifying the description, and do not indicate or imply that the device or element being referred to must have a particular orientation, be constructed and operated in a particular orientation, and thus should not be considered as limiting the present application.
Furthermore, the terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of the present application, "a plurality" means two or more unless specifically limited otherwise.
Referring to fig. 1 to 4 together, a community bagged garbage disposal apparatus 100 according to an embodiment of the present application will be described. The community bagged garbage disposal equipment 100 comprises: a garbage depositing belt 10, a garbage detecting belt 20, a garbage compressing belt 30, and a garbage disposal belt 40.
Specifically, the garbage throwing belt 10 includes a first conveyor belt 11 and a weighing detection mechanism 12, the first conveyor belt 11 is disposed on the weighing detection mechanism 12, and the weighing detection mechanism 12 can detect the weight of bagged garbage thrown on the first conveyor belt 11.
Specifically, the garbage detection belt 20 includes a second conveyor belt 21, a garbage pre-detection mechanism 22, an X-ray detection mechanism 23, and a garbage backflow assembly 24, the second conveyor belt 21 is connected to the first conveyor belt 11, and the garbage pre-detection mechanism 22, the X-ray detection mechanism 23, and the first swing link are sequentially disposed on the second conveyor belt 21.
The garbage pre-inspection mechanism 22 can pre-inspect the bagged garbage to judge the safety of the bagged garbage; the X-ray detection mechanism 23 can detect and identify the type of the bagged garbage so as to judge the accuracy of garbage classification; the garbage backflow component 24 can backflow the bagged garbage with inaccurate garbage classification, the garbage compression belt 30 can compress the bagged garbage with accurate garbage classification, and the garbage disposal belt 40 can dispose the compressed bagged garbage according to categories.
It can be understood that, when community bagged garbage treatment equipment 100 applies to the community, the community resident can classify the bagged garbage before throwing the garbage, then throw the classified bagged garbage on garbage throwing belt 10's first conveyer belt 11, weighing detection mechanism 12 can detect the weight of bagged garbage, carries out first step judgement to bagged garbage, if bagged garbage is overweight or too light, surpasss the scope of normal garbage, then judges to be abnormal garbage, does not classify, and the system will indicate the resident to divide the bag or close the bag with rubbish to ensure community bagged garbage treatment equipment 100 can not be damaged, can accurately classify the bagged garbage simultaneously, still is favorable to improving rubbish classification efficiency in addition.
If the weighing detection mechanism 12 detects that the weight of the bagged garbage is normal, the first conveyor belt 11 conveys the bagged garbage to the second conveyor belt 21, at this time, the garbage pre-detection mechanism 22 starts to pre-detect the bagged garbage, and items of the pre-detection include but are not limited to volume scanning, appearance image recognition, metal detection, liquid detection, temperature detection and contraband detection of the bagged garbage. If the situation that the pre-inspection is unqualified is found, for example, the volume of the bagged garbage is judged to be too large through volume scanning, the situation that the bagged garbage is not tied tightly through the X-ray detection mechanism 23 can not be passed, the garbage can overflow through appearance image recognition, metal objects are found to be too large and can not be compressed through metal detection, the content of liquid in the bagged garbage exceeds the standard through liquid detection, high-temperature objects are contained in the bagged garbage through temperature detection, drugs, flammable and explosive objects and the like are found to be contained in the bagged garbage through forbidden object detection, the second conveyor belt 21 reversely transmits the bagged garbage, so that the bagged garbage which is unqualified in the pre-inspection is conveyed to the first conveyor belt 11 again, and a system prompts residents to reprocess the garbage or is processed through a special mode by property workers.
If the bagged garbage is qualified after the garbage pre-inspection mechanism 22 carries out the pre-inspection on the bagged garbage, the second conveyor belt 21 conveys the bagged garbage to the X-ray detection mechanism 23, at this time, the X-ray detection mechanism 23 starts to detect the bagged garbage, and the type of the bagged garbage is further identified by acquiring an X-ray image of the bagged garbage so as to judge the accuracy of garbage classification; if the category of the bagged garbage is identified to contain multiple categories of four categories of garbage specified by the country, the classification of the bagged garbage is judged to be inaccurate, and then the second conveyor belt 21 continues to convey the bagged garbage to the garbage backflow component 24, so that community residents can take back the bagged garbage to reclassify the bagged garbage.
If the X-ray detection mechanism 23 detects that the classification of the bagged garbage is correct, the second conveyor belt 21 conveys the bagged garbage to the garbage compression belt 30, the garbage compression belt 30 compresses the bagged garbage, the volume is further reduced, the storage is convenient, and the garbage disposal belt 40 puts the compressed bagged garbage into a corresponding garbage bin according to the classification identified by the X-ray detection mechanism 23 for storage.
Compared with the prior art, the community bagged garbage treatment equipment 100 provided by the application can be used for pre-detecting bagged garbage through the garbage throwing belt 10 and the garbage detection belt 20, judging the safety of the bagged garbage, eliminating the risk of damaging equipment and improving the garbage classification efficiency; the X-ray detection mechanism 23 is adopted to detect and identify the type of the bagged garbage, and the accuracy of garbage classification is judged under the condition that the bagged garbage is not opened, so that secondary pollution is effectively avoided; the bagged garbage with inaccurate garbage classification can be subjected to backflow through the garbage backflow component 24, so that community residents can classify the bagged garbage again; the bagged garbage with accurate garbage classification can be compressed through the garbage compression belt 30, so that the volume of the bagged garbage is reduced; the compressed bagged garbage can be treated according to categories through the garbage treatment belt 40; the whole process automation of garbage pre-inspection, classification identification, compression and treatment is realized, so that the recycling of social resources is promoted.
In another embodiment of the present application, referring to fig. 5, the garbage pre-inspecting mechanism 22 includes a gantry 221, a scanning camera 222 and a light curtain 223, wherein the gantry 221 is disposed on the second conveyor belt 21, and the scanning camera 222 is mounted at the top of the gantry 221 and is used for scanning the bagged garbage on the first conveyor belt 11; the light curtain 223 is disposed inside the gantry 221 and used for scanning the volume of the bagged garbage.
It can be understood that, when community residents throw bagged garbage onto the first conveyor belt 11 of the garbage throwing belt 10, and the weighing detection mechanism 12 is triggered, the scanning camera 222 can acquire an image of the bagged garbage on the first conveyor belt 11, and determine whether a garbage bag of the bagged garbage is fastened through image recognition and detection, so as to prevent the garbage from overflowing or scattering. When the bagged garbage passes through the portal frame 221 under the action of the second conveyor belt 21, the light curtain 223 can scan and acquire the volume of the bagged garbage, so that the phenomenon that the device is blocked and damaged due to the overlarge volume of the bagged garbage clamped in the X-ray detection mechanism 23 is avoided. In addition, by counting the volume and the weight of each bagged garbage, the classified and stored garbage weight can be estimated, so that background workers are reminded to timely treat the garbage of each community, and the garbage can is prevented from overflowing.
It should be added that, because the light curtain 223 can only scan the projection area of the object at a certain viewing angle, the volume of the bagged garbage that can be acquired by the light curtain 223 is comprehensively estimated by combining the training model, the image of the bagged garbage acquired by the scanning camera 222, and the weight of the bagged garbage, so as to improve the accuracy.
Further, referring to fig. 5, the garbage pre-inspection mechanism 22 further includes a temperature detector 224 and a contraband detection device 225, the temperature detector 224 and the contraband detection device 225 are disposed inside the gantry 221, the temperature detector 224 is used for detecting the temperature of the bagged garbage, and the contraband detection device 225 is used for detecting the contraband component in the bagged garbage.
It can be understood that the temperature detector 224 can detect the temperature of the bagged refuse, so as to prevent high-temperature objects from entering the X-ray detection mechanism 23 and the refuse disposal belt 40, such as the bagged refuse containing incompletely cooled charcoal and short-circuited batteries, and further reduce the potential risk of refuse disposal.
This contraband mainly refers to drugs, flammable explosive, because contraband such as conventional explosive and drugs have certain volatility, contraband detection device 225 can adopt the test paper to sample the outward appearance of rubbish in bags, can detect small sample through the thermal analysis injector to ensure to detect the precision. If the information is found, the system informs the property and finishes checking the field.
Further, referring to fig. 5, the garbage pre-inspecting mechanism 22 further includes a liquid detector 226 and a metal detector 227, the liquid detector 226 and the metal detector 227 are disposed inside the gantry 221, the liquid detector 226 is used for detecting the liquid component of the bagged garbage, and the metal detector 227 is used for detecting the metal component of the bagged garbage.
It will be appreciated that based on the metal detector 227, if it is found that the metal objects are too large and cannot be compressed, the system will prompt the inhabitants to reprocess the waste or to be processed by property personnel in a special way so as not to damage the compression equipment. The content of liquid in the bagged garbage exceeds the standard through liquid detection, and then the system prompts residents to reprocess the garbage, and the liquid in the bagged garbage is poured out and then classified.
Further, referring to fig. 5, the garbage pre-inspecting mechanism 22 further includes a centering mechanism 228, the centering mechanism 228 includes an infrared sensor 2281, a push plate 2282, and a power mechanism 2283 for driving the push plate 2282 to swing, the infrared sensor 2281 and the power mechanism 2283 are disposed inside the gantry 221, the infrared sensor 2281 is used for sensing the position of the bagged garbage, and the power mechanism 2283 can drive the push plate 2282 to center the position of the bagged garbage.
It can be understood that, for example, the position of the bagged garbage is close to the edge of the second conveyor belt 21, in order to enable the garbage pre-detection mechanism 22 and the X-ray detection mechanism 23 to better detect the garbage, the power mechanism 2283 drives the push plate 2282 to push the position of the bagged garbage to the middle of the second conveyor belt 21.
In another embodiment of the present application, referring to fig. 4, the garbage backflow device 24 includes a first swing link device 241 and a garbage can 242 to be sorted, the first swing link device 241 is disposed at the end of the second conveyor belt 21, the garbage can 242 to be sorted is disposed at one side of the second conveyor belt 21, and the bagged garbage can be pushed into the garbage can 242 to be sorted by the first swing link device 241.
It will be appreciated that the waste return assembly 24 is capable of returning bagged waste that is not properly sorted for reclassification by community occupants.
In another embodiment of the present application, referring to fig. 1, the garbage compressing belt 30 includes a garbage compressor 31 and a sewage disposal mechanism (not shown), the garbage compressor 31 can compress the bagged garbage, and the sewage disposal mechanism is communicated with the garbage compressor 31 for discharging the sewage generated by compressing the bagged garbage.
It can be understood that because kitchen garbage contains more water, a large amount of wastewater can be generated in the compression process, and therefore the sewage generated in the compression process can be conveniently treated by arranging the sewage treatment mechanism which can be communicated with a sewage pipeline of a community.
In another embodiment of the present application, referring to fig. 6 to 9, the garbage disposal belt 40 includes a third conveyor belt 41, a second swing link assembly 42, a third swing link assembly 43 and a plurality of classification garbage bins 44, the third conveyor belt 41 is connected to the garbage compression belt 30, the second swing link assembly 42 and the third swing link assembly 43 are disposed on the third conveyor belt 41, and the plurality of classification garbage bins 44 are disposed on two sides of the third conveyor belt 41 respectively.
It will be appreciated that several of the sortation bins 44 include a recyclable bin 441, a kitchen waste bin 442, a hazardous bin 443, and other bins 444. When the second swing link assembly 42 and the third swing link assembly 43 are as shown in fig. 6, the compacted bagged garbage will enter the recyclable garbage bin 441 under the conveying of the third conveyor belt 41; when the second swing link assembly 42 and the third swing link assembly 43 are as shown in fig. 7, the compressed bagged garbage will enter the kitchen garbage bin 442 under the conveying of the third conveyor belt 41; when the second swing link assembly 42 and the third swing link assembly 43 are as shown in fig. 8, the compressed bagged garbage can enter the harmful garbage can 443 under the conveying of the third conveyor belt 41; when the second swing link assembly 42 and the third swing link assembly 43 are shown in fig. 9, the compressed bagged garbage will enter the other garbage bin 444 under the conveying of the third conveyor 41.
In another embodiment of the present application, please refer to fig. 3 together, the community bagged refuse treatment device 100 further includes a human-computer interaction component 50, the human-computer interaction interface includes a touch screen 51, a face recognition camera 52 and an alarm lamp 53, the touch screen 51 is used for displaying system information and allowing community residents to select refuse types, the face recognition camera 52 identifies identities, and the alarm lamp 53 is used for prompting refuse classification detection results.
It can be understood that the community residents can log in the system through the face recognition camera 52, the system can record the garbage classification condition and the garbage generation weight of each household community resident, and grade each household resident, for example, the more accurate the garbage classification of each household community resident is and the less the garbage generation quantity is, the higher the grade is, so as to encourage the community residents to form a good garbage classification habit and reduce the manufacturing garbage.
Referring to fig. 10, the present application further provides a community bagged garbage disposal monitoring system 200, where the community bagged garbage disposal monitoring system 200 includes a cloud server 201, a community monitoring device 202, and at least one community bagged garbage disposal device 100 as described above.
The community bagged garbage disposal device 100 is connected with the cloud server 201, and the cloud server 201 is connected with the community monitoring device 202, so that the community monitoring device 202 can monitor the operation condition of each community bagged garbage disposal device 100 through the cloud server 201.
Compared with the prior art, the community monitoring device 202 can monitor the operation condition of each community bagged garbage disposal device 100 through the cloud server 201, remotely obtain the garbage storage amount of each community bagged garbage disposal device 100, and timely clean an overflowing garbage can; dangerous goods and contraband goods in the community garbage are found in time, and the safety of community residents is ensured.
The application also provides a bagged garbage classification detection method based on the X-ray image, which is used for supplementing and explaining that the X-ray detection mechanism 23 can detect and identify the type of bagged garbage so as to judge the accuracy of garbage classification.
The method for detecting the classification of the bagged garbage based on the X-ray image comprises the following steps:
step S1, obtaining an X-ray image of the bagged garbage;
step S2, layering the X-ray images to obtain a plurality of layered images;
step S3, respectively carrying out target detection on the plurality of hierarchical images and the X-ray images, and respectively obtaining a plurality of entity targets from each image;
step S4, respectively carrying out fine-grained type recognition on the entity targets to obtain a plurality of initial fine-grained types;
step S5, carrying out fusion processing on a plurality of initial fine-grained categories to obtain a plurality of effective fine-grained categories;
and step S6, if a plurality of effective fine-grained categories belong to the same category of garbage, judging that the garbage classification is correct, otherwise, judging that the garbage classification is wrong.
It is worth noting that X-rays can penetrate substances that are generally not transparent to visible light. Visible light has long wavelength, and photons have small energy, so when the visible light strikes an object, a part of the visible light is reflected, and most of the visible light is absorbed by a substance and cannot penetrate the object; however, X-rays, which have a short wavelength and a large energy, are not absorbed by a substance only partially and are mostly transmitted through atomic gaps when they strike the substance, thus exhibiting a strong penetrating power. The ability of X-rays to penetrate matter is related to the energy of the X-ray photon, with shorter X-ray wavelengths giving higher energy and higher penetration. The penetrating power of X-ray is related to the density of the material, and the material with high density absorbs more X-ray and has less penetration; for low density, less absorption and more penetration.
Therefore, in step S1, when the bagged trash is penetrated with X-rays, an X-ray image of the bagged trash can be acquired.
Since the type and shape of the object material in the bagged refuse are complicated and the objects in the obtained X-ray image are relatively dense, in step S2, the X-ray image needs to be layered to obtain a plurality of layered images. It should be noted that, because some X-ray images acquired by an X-ray machine are color by default, when layering the X-ray images, color clustering needs to be performed on the X-ray images first, and then color layers are extracted, each color layer corresponds to one hierarchical image; the default of the X-ray image acquired by some X-ray machines is a gray level image, and different gray level layers are distinguished by using a gray level range, wherein each gray level layer corresponds to one level image. And separating different garbage in the bagged garbage bag by layering the X-ray images.
However, since some of the garbage may be formed by combining a plurality of different materials, which may cause different components of the same garbage to be in different hierarchical images, the physical object detected when the object is detected in a single hierarchical image is incomplete, in step S3, the object is also detected in the original X-ray image, and the complete physical object of the garbage may be detected, so as to compensate for the disadvantage of the object detection in a single hierarchical image. In addition, the target detection preferably adopts a method of deep learning a target detection model.
Since each of the hierarchical images and the X-ray image can detect a plurality of entity targets, in step S4, each entity target needs to be subjected to fine-grained category identification, and each entity target is input into a deep-learning fine-grained classification model for classification, so as to further identify a fine category to which the entity target belongs. For example, the fine categories include glass bottles, keys, batteries, fruit, ceramic tiles, and the like.
In step S4, each entity target corresponds to one initial fine-grained type, some initial fine-grained types correspond to one entity target, and some initial fine-grained types correspond to multiple entity targets. Therefore, in order to improve the accuracy of the fine classification, it is necessary to perform fusion processing on the plurality of initial fine-grained classes to remove part of invalid fine-grained classes in the plurality of initial fine-grained classes, so as to obtain a plurality of valid fine-grained classes.
In step S6, if the final obtained valid fine-grained categories only contain glass bottles and keys, and both the glass bottles and the keys belong to recyclable waste, it is determined that a plurality of the valid fine-grained categories belong to the same type of waste. If the finally obtained effective fine-grained categories comprise glass bottles and fruits, the glass bottles belong to recoverable garbage, and the fruits belong to kitchen garbage, the garbage classification is judged to be wrong.
It should be added that, by performing fine-grained category identification on a plurality of entity targets, a plurality of initial fine-grained categories are obtained, and even if there is a certain error in the fine-grained category identification, the entity targets can be assigned to the same type of garbage in step S6. For example, the metal bottles are identified as glass bottles, but the metal bottles and the glass bottles belong to the same type of recyclable garbage, so that the final garbage classification result is not influenced, and the robustness of garbage classification is improved by performing fine-grained classification identification on a plurality of entity targets.
In addition, "the same type of garbage" shall refer to one of 4 garbage classification categories stipulated by the country, including recyclables, kitchen garbage, harmful garbage, and other garbage.
Compared with the prior art, the bagged garbage classification detection method based on the X-ray images can be used for intelligently classifying and detecting the bagged garbage under the condition that the bagged garbage is not opened by acquiring the X-ray images of the bagged garbage, so that secondary pollution is reduced; target detection is respectively carried out on the hierarchical images and the X-ray images, so that not only are different targets in the X-ray images prevented from being interfered with each other, but also target omission or identification errors caused by the fact that different components of the same garbage appear in different hierarchical images are prevented; by carrying out fine-grained category identification and fusion processing on a plurality of entity targets, the robustness and accuracy of garbage classification are improved.
In another embodiment of the present application, the X-ray image is a color image, and the method of layering the X-ray image includes the steps of:
performing color clustering on the X-ray images;
and extracting color layers of the images after color clustering, wherein each color layer is a layer image.
It is understood that the X-ray image output by the existing X-ray machine is mostly a color image by default, and the color image is obtained by processing of the X-ray machine. For example, the X-ray images are subjected to color clustering, so that the images after color clustering only have three colors of red, green and blue, and therefore three level images can be extracted, wherein objects in each level image are garbage with similar physical properties, and different types of garbage in bagged garbage are separated.
In another embodiment of the present application, the X-ray image is a gray scale image, and the method for layering the X-ray image includes the following steps:
dividing the gray scale interval from 0 to 255 into a plurality of gray scales;
dividing the X-ray image into a plurality of gray levels according to gray levels;
each gray level is a one-level image.
It can be understood that, for example, the gray scale interval 0 to 255 is divided into four gray scales, such as 30 to 80, 80 to 150, 150 to 255, and the like, the absorption capability of the pericarp garbage to the X-ray is weak, the gray scale interval corresponding to the real target is mostly located within 80 to 150, while the absorption capability of the metal garbage to the X-ray is strong, and the gray scale interval corresponding to the real target is mostly located within 0 to 30. Therefore, different entity targets in the X-ray image can be extracted into the corresponding hierarchical images, and mutual interference in target identification is avoided.
Of course, the gray scale interval 0 to 255 may be further divided, for example, each 5 gray scale values is a gray scale, so that the fine-grained classification may be further divided, but the calculation amount and the reaction time may be slightly larger, and the actual setting is required in the actual application.
In another embodiment of the present application, the method for detecting classification of bagged refuse based on X-ray image further includes:
and S3.1, performing pixel logic OR operation on at least any two hierarchical images to obtain combined hierarchical images, and performing target detection on the combined hierarchical images to obtain a plurality of entity targets respectively for each image.
It can be understood that, because some garbage is composed of different materials, the difference of the absorption capacity of the constituent materials for X-rays is large, which causes the corresponding physical targets of the different constituent materials of the garbage to appear in different hierarchical images.
For example, a light bulb, which mainly comprises a glass cover and a metal base, because the difference of the absorption capacity of the glass cover and the metal base to the X-ray is large, the solid target of the glass cover appears in the hierarchical image of the gray levels 150 to 255, and the solid target of the metal base appears in the hierarchical image of the gray levels 0 to 30, therefore, only the glass cover part can be identified in the target detection of the hierarchical image of the gray levels 150 to 255, only the metal base part can be identified in the target detection of the hierarchical image of the gray levels 0 to 30, and the solid target directly obtained by the target detection of the X-ray image may have the interference of other garbage in the bagged garbage, which causes deviation when the solid target is identified in the fine-grained type identification, and finally the glass cover can be identified as a glass beverage bottle, while the metal base is identified as a metal beverage cover, are classified as recyclable waste.
Therefore, pixel logic OR operation is carried out on at least any two level images to obtain a combined level image, the combined level image can be used for generating an entity target of a complete bulb, the bulb can be finally identified and classified into harmful garbage, and the accuracy of garbage classification detection is improved.
In another embodiment of the present application, the method for detecting classification of bagged refuse based on X-ray image further includes:
and S4.1, performing pixel logic OR operation on at least two entity targets to obtain a combined entity target, and performing fine-grained type identification on the combined entity target to obtain an initial fine-grained type.
Similarly, for example, when at least two solid objects are logically or-connected by pixels, the position of each solid object in the hierarchical image should be preserved so that the resulting combined solid object is a shape of a perfectly spliced bulb.
It should be noted that, in the target detection, procedures such as erosion and expansion in the image processing are usually executed to eliminate some interference factors, unlike the previous embodiment, in this embodiment, a manner of performing a pixel logic or operation on a hierarchical image is not adopted, but after the target detection is performed, an entity target is subjected to the pixel logic or operation and then fine-grained class identification is performed, so that the influence of interference pixels can be more effectively eliminated to accurately identify the fine-grained class corresponding to the garbage of the multi-component material.
In another embodiment of the present application, in step S4, the method for fine-grained class identification includes:
screening all fine classification classes corresponding to the hierarchical image from the fine-grained classification model according to the hierarchical image where the entity target is located;
and matching according to the outline shape and the area size of the entity target extracted from the level image so as to identify the initial fine-grained category.
It should be noted that common materials of the solid objects in each level image are fixed, for example, the absorption capability of the garbage such as pericarp and leftovers to X-ray is weak, the solid objects are in the level images with the gray scale interval of 80 to 150, the absorption capability of the garbage such as metal and ceramic to X-ray is strong, and the solid objects are in the level images with the gray scale interval of 0 to 30. Therefore, compared with the conventional fine-grained category identification method only performing contour shape and area size matching, the embodiment screens all fine-grained categories corresponding to the level image from the fine-grained classification model according to the level image where the entity target is located, so that the number of matched objects can be reduced, the accuracy of fine-grained category identification can be improved, and the response time can be reduced.
In another embodiment of the present application, in step S5, the method of the fusion process includes:
setting a predetermined threshold T1;
counting the times K1 that each initial fine-grained category is identified;
and if K1 is not less than T1, the initial fine-grained type is an effective fine-grained type, and if K1 is less than T1, the initial fine-grained type is an ineffective fine-grained type.
It is understood that since in step S3, object detection is performed on several of the hierarchical images and the X-ray images, respectively, physical objects of the same piece of garbage can be retrieved in both the hierarchical images and the X-ray images. In addition, the entity objects corresponding to the same piece of garbage may exist in different hierarchical images, and the different hierarchical images are extracted and identified into the same initial fine-grained category.
For example, an umbrella is composed of an oilcloth and a metal support, X-ray images of the oilcloth and the metal support are layered and located in two different hierarchical images, the two hierarchical images are identified into an initial fine-grained category of the umbrella through target detection and fine-grained category identification, and the number of times that the initial fine-grained category of the umbrella is identified is counted as 2 times. If the non-layered X-ray image also identifies the initial fine-grained type of the umbrella through target detection and fine-grained type identification, the number of times that the initial fine-grained type of the umbrella is identified is counted as 3.
Therefore, the initial fine-grained categories are fused by counting the recognized times of each initial fine-grained category to obtain a plurality of effective fine-grained categories; a plurality of invalid fine-grained categories can be effectively removed, and the robustness of garbage classification detection is improved.
In another embodiment of the present application, in step S5, the method of the fusion process includes:
setting a predetermined threshold T2;
counting the integral K2 of each initial fine-grained category;
if K2 is not less than T2, the initial fine-grained type is an effective fine-grained type, and if K2 is less than T2, the initial fine-grained type is an effective fine-grained type;
wherein the integral K2 of each initial fine-grained category is equal to the sum of the confidences that the initial fine-grained category is recognized each time.
It can be understood that, because the number of initial fine-grained classes in the fine-grained classification model is limited, but each entity target is recognized into a corresponding initial fine-grained class, the confidence that the entity target is recognized is low.
For example, two entity targets are identified in the same initial fine-grained class, with confidence degrees of 40% and 45%, respectively, the integral K2 of the initial fine-grained class is 0.85, and if a predetermined threshold T2 is set to 1, K2 < T2, and finally the initial fine-grained class is determined to be an invalid fine-grained class. Therefore, the integration system can further refine the process of fusion processing, filter interference factors and improve the accuracy of garbage classification.
In another embodiment of the present application, in step S6, if the classification of the garbage is determined to be correct, the bagged garbage is transported to the corresponding garbage bin according to the classification.
In another embodiment of the present invention, in step S6, if it is determined that the garbage classification is incorrect, an alarm is issued to prompt reclassification.
The above description is only exemplary of the present application and should not be taken as limiting the present application, as any modification, equivalent replacement, or improvement made within the spirit and principle of the present application should be included in the protection scope of the present application.
Claims (10)
1. A community bagged refuse treatment device, comprising:
the garbage disposal system comprises a garbage throwing belt, a garbage detection belt, a garbage compression belt and a garbage disposal belt;
the garbage throwing belt comprises a first conveying belt and a weighing detection mechanism, the first conveying belt is arranged on the weighing detection mechanism, and the weighing detection mechanism can detect the weight of bagged garbage thrown on the first conveying belt;
the garbage detection belt comprises a second conveyor belt, a garbage pre-detection mechanism, an X-ray detection mechanism and a garbage backflow assembly, the second conveyor belt is connected with the first conveyor belt, and the garbage pre-detection mechanism, the X-ray detection mechanism and the first swing rod are sequentially arranged on the second conveyor belt;
the garbage pre-inspection mechanism can pre-inspect the bagged garbage to judge the safety of the bagged garbage; the X-ray detection mechanism can detect and identify the type of the bagged garbage so as to judge the accuracy of garbage classification; the garbage backflow component can backflow bagged garbage with inaccurate garbage classification, the garbage compression belt can compress the bagged garbage with accurate garbage classification, and the garbage disposal belt can dispose the compressed bagged garbage according to categories.
2. The community bagged refuse disposal apparatus according to claim 1, wherein the refuse pre-inspection mechanism comprises a gantry, a scanning camera and a light curtain, the gantry is disposed on the second conveyor belt, and the scanning camera is mounted on the top of the gantry and is used for scanning bagged refuse on the first conveyor belt; the light curtain is arranged on the inner side of the portal frame and used for scanning the volume of the bagged garbage.
3. The community bagged refuse disposal apparatus of claim 2, wherein said refuse pre-inspection mechanism further comprises a temperature detector and a contraband detection device, said temperature detector and said contraband detection device are disposed inside said gantry, said temperature detector is used for detecting the temperature of the bagged refuse, and said contraband detection device is used for detecting the contraband component in the bagged refuse.
4. The community bagged refuse disposal apparatus of claim 2, wherein said refuse pre-inspection mechanism further comprises a liquid detector and a metal detector, said liquid detector and said metal detector are disposed inside said gantry, said liquid detector is for detecting a liquid component of the bagged refuse, and said metal detector is for detecting a metal component of the bagged refuse.
5. The community bagged garbage treatment equipment according to claim 2, wherein the garbage pre-inspection mechanism further comprises a straightening mechanism, the straightening mechanism comprises an infrared sensor, a push plate and a power mechanism for driving the push plate to swing, the infrared sensor and the power mechanism are arranged on the inner side of the portal frame, the infrared sensor is used for sensing the position of bagged garbage, and the power mechanism can drive the push plate to straighten the position of the bagged garbage.
6. The community bagged garbage disposal device according to any one of claims 1 to 5, wherein the garbage backflow assembly comprises a first swing link assembly and garbage cans to be sorted, the first swing link assembly is arranged at the end of the second conveyor belt, the garbage cans to be sorted are arranged at one side of the second conveyor belt, and the bagged garbage can be pushed into the garbage cans to be sorted through the first swing link assembly.
7. The community bagged refuse treatment facility according to any one of claims 1 to 5, wherein the refuse compression zone comprises a refuse compressor through which bagged refuse can be compressed, and a sewage treatment means in communication with the refuse compressor for discharging sewage generated by compression of bagged refuse.
8. The community bagged refuse disposal apparatus according to any one of claims 1 to 5, wherein said refuse disposal belt comprises a third conveyor belt, a second swing link assembly, a third swing link assembly and a plurality of classified refuse bins, said third conveyor belt is connected to said refuse compression belt, said second swing link assembly and said third swing link assembly are disposed on said third conveyor belt, and said plurality of classified refuse bins are disposed on both sides of said third conveyor belt.
9. The community bagged refuse disposal device according to any one of claims 1 to 5, further comprising a human-computer interaction component, wherein the human-computer interaction interface comprises a touch screen, a face recognition camera and an alarm lamp, the touch screen is used for displaying system information and allowing community residents to select refuse types, the face recognition camera identifies identities, and the alarm lamp is used for prompting refuse classification detection results.
10. A community bagged garbage disposal monitoring system, which is characterized by comprising a cloud server, community monitoring equipment and at least one community bagged garbage disposal device according to any one of claims 1 to 9;
the community bagged garbage disposal equipment is connected with the cloud server, and the cloud server is connected with the community monitoring equipment, so that the community monitoring equipment can monitor the operation condition of each community bagged garbage disposal equipment through the cloud server.
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