Community bagged garbage disposal equipment and monitoring system

Abstract

The present application provides a community bagged garbage disposal equipment and a monitoring system, the community bagged garbage disposal equipment comprising: a garbage delivery belt, a garbage detection belt, a garbage compression belt and a garbage disposal belt; the garbage delivery belt comprises a first conveyor belt and a weighing detection mechanism, the first conveyor belt is arranged on the weighing detection mechanism, and the weight of the bagged garbage placed on the first conveyor belt can be detected by the weighing detection mechanism; the garbage detection belt comprises a second conveyor belt, a garbage pre-inspection mechanism, an X-ray detection mechanism and a garbage return component, the second conveyor belt is connected to the first conveyor belt, and the garbage pre-inspection mechanism, the X-ray detection mechanism and the first swing arm are sequentially arranged on the second conveyor belt; the community bagged garbage disposal equipment of the present application improves the efficiency of garbage classification and avoids secondary pollution; it realizes the full automation of garbage pre-inspection, classification identification, compression and processing to promote the reuse of social resources.

Description

Technical Field

[0001] The present application belongs to the technical field of environmental protection equipment, and more specifically, to a community bagged garbage treatment equipment and monitoring system. Background Art

[0002] As the country attaches great importance to environmental protection, garbage classification is promoted nationwide and gradually implemented in communities. At present, garbage classification stations set up in communities require people to classify garbage in advance and throw it into designated classified garbage bins. In the early stage of garbage classification promotion, ordinary people are not used to the way of garbage classification. In many cases, people do not manually classify garbage, but mix a whole bag of various garbage together and throw it into a random garbage bin, which does not achieve the effect of garbage classification.

[0003] Some of the current devices and methods for automatic garbage sorting use metal detectors to detect metal in garbage, such as an automatic garbage sorting device with application number CN202110554458.1. However, metal detectors can only detect metal garbage and cannot accurately detect which of the four garbage classification categories (recyclables, kitchen waste, hazardous waste, and other garbage) the garbage belongs to as specified by the state. Some use visible light cameras to identify garbage; for visible light cameras to identify garbage, such as a machine vision-based water surface garbage collection and sorting device and method with application number CN202110516646.5, it requires that the garbage is exposed and visible, and cannot identify bagged garbage. If the bagged garbage is disassembled for inspection, on the one hand, it increases the demand for manpower, and on the other hand, it increases the possibility of secondary pollution and bacterial transmission.

[0004] In addition, since the types of community garbage are numerous and complex, there may often be some prohibited items. When a lot of garbage is mixed together, physical or chemical reactions are likely to occur, causing serious harm to community residents. In addition, property and other related staff cannot monitor the working status and garbage storage volume of each garbage disposal equipment in real time, and the equipment is often damaged. Summary of the invention

[0005] The purpose of the embodiments of the present application is to provide a community bagged garbage disposal device and a monitoring system to solve the technical problems of insufficient accuracy, serious secondary pollution, insufficient safety and inadequate supervision in the process of bagged garbage classification in the prior art.

[0006] To achieve the above-mentioned purpose, the technical solution adopted by the present application is: to provide a community bagged garbage disposal device, the community bagged garbage disposal device comprising: a garbage delivery belt, a garbage detection belt, a garbage compression belt and a garbage disposal belt;

[0007] The garbage delivery belt comprises a first conveyor belt and a weighing detection mechanism, wherein the first conveyor belt is arranged on the weighing detection mechanism, and the weight of the bagged garbage delivered on the first conveyor belt can be detected by the weighing detection mechanism;

[0008] The garbage detection belt comprises a second conveyor belt, a garbage pre-detection mechanism, an X-ray detection mechanism and a garbage return assembly, the second conveyor belt is connected to the first conveyor belt, and the garbage pre-detection mechanism, the X-ray detection mechanism and the first swing arm are sequentially arranged on the second conveyor belt;

[0009] Among them, the garbage pre-inspection mechanism can pre-inspect bagged garbage to determine the safety of the bagged garbage; the X-ray detection mechanism can detect and identify the category of bagged garbage to determine the accuracy of garbage classification; the garbage reflow component can reflow bagged garbage with inaccurate garbage classification, the garbage compression belt can compress bagged garbage with accurate garbage classification, and the garbage treatment belt can treat the compressed bagged garbage according to category.

[0010] Preferably, the garbage pre-inspection mechanism includes a gantry, a scanning camera and a light curtain. The gantry is arranged on the second conveyor belt, and the scanning camera is installed on the top of the gantry to scan the bagged garbage on the first conveyor belt; the light curtain is arranged on the inner side of the gantry to scan the volume of the bagged garbage.

[0011] Preferably, the garbage pre-inspection mechanism also includes a temperature detector and a contraband detection device, and the temperature detector and the contraband detection device are placed on the inner side of the gantry. The temperature detector is used to detect the temperature of the bagged garbage, and the contraband detection device is used to detect the contraband components in the bagged garbage.

[0012] Preferably, the garbage pre-inspection mechanism also includes a liquid detector and a metal detector, and the liquid detector and the metal detector are placed on the inner side of the gantry. The liquid detector is used to detect the liquid component of the bagged garbage, and the metal detector is used to detect the metal component of the bagged garbage.

[0013] Preferably, the garbage pre-inspection mechanism also includes a straightening mechanism, which includes an infrared sensor, a push plate and a power mechanism that drives the push plate to swing, the infrared sensor and the power mechanism are arranged on the inner side of the gantry, the infrared sensor is used to sense the position of the bagged garbage, and the power mechanism can drive the push plate to straighten the position of the bagged garbage.

[0014] Preferably, the garbage return assembly includes a first rocker arm assembly and a garbage bin to be sorted, the first rocker arm assembly is arranged at the end of the second conveyor belt, and the garbage bin to be sorted is arranged on one side of the second conveyor belt, and the bagged garbage can be pushed into the garbage bin to be sorted through the first rocker arm assembly.

[0015] Preferably, the garbage compression belt includes a garbage compressor and a sewage treatment mechanism, through which the bagged garbage can be compressed, and the sewage treatment mechanism is connected to the garbage compressor for discharging sewage generated when the bagged garbage is compressed.

[0016] Preferably, the garbage processing belt includes a third conveyor belt, a second rocker arm assembly, a third rocker arm assembly and several classified garbage bins. The third conveyor belt is connected to the garbage compression belt. The second rocker arm assembly and the third rocker arm assembly are arranged on the third conveyor belt. Several classified garbage bins are respectively arranged on both sides of the third conveyor belt.

[0017] Preferably, the community bagged garbage disposal equipment also includes a human-computer interaction component, and the human-computer interaction interface includes a touch screen, a face recognition camera and an alarm light. The touch screen is used to display system information and allow community residents to select garbage types, the face recognition camera identifies identity, and the alarm light is used to prompt garbage classification detection results.

[0018] The present application also provides a community bagged waste treatment monitoring system, the community bagged waste treatment monitoring system comprising a cloud server, a community monitoring device, and at least one community bagged waste treatment device as described above;

[0019] Among them, the community bagged waste treatment equipment is connected to the cloud server, and the cloud server is connected to the community monitoring equipment, so that the community monitoring equipment can monitor the operation status of each community bagged waste treatment equipment through the cloud server.

[0020] Compared with the prior art, the community bagged garbage disposal equipment provided by the present application can pre-inspect bagged garbage through the garbage delivery belt and the garbage detection belt, judge the safety of bagged garbage, eliminate the risk of damaging equipment, and improve the efficiency of garbage classification; adopt the X-ray detection mechanism to detect and identify the category of bagged garbage, and judge the accuracy of garbage classification without opening the bagged garbage, so as to effectively avoid secondary pollution; through the garbage return component, bagged garbage with inaccurate garbage classification can be returned so that community residents can classify it again; through the garbage compression belt, bagged garbage with accurate garbage classification can be compressed to reduce the volume of bagged garbage; through the garbage disposal belt, the compressed bagged garbage can be processed according to category; the full automation of garbage pre-inspection, classification identification, compression, and processing is realized to promote the reuse of social resources.

[0021] Compared with the prior art, the community bagged waste disposal monitoring system provided by the present application is a community monitoring device that can monitor the operation status of each community bagged waste disposal device through the cloud server, remotely obtain the waste storage capacity of each community bagged waste disposal device, and clean up overflowing garbage bins in a timely manner; it can also detect dangerous goods and prohibited items in community garbage in a timely manner to ensure the safety of community residents. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative labor.

[0023] Figure 1 A front view of a community bagged garbage disposal device provided in an embodiment of the present application;

[0024] Figure 2 for Figure 1 An overhead view of the community bagged waste disposal equipment;

[0025] Figure 3 for Figure 1 A front view of the garbage detection belt in FIG.

[0026] Figure 4 for Figure 3 A stereogram of a garbage detection belt in FIG.

[0027] Figure 5 for Figure 4 A three-dimensional diagram of the garbage pre-inspection mechanism in FIG.

[0028] Figure 6 for Figure 1Schematic diagram of the status of the garbage compression belt and garbage treatment belt in (I);

[0029] Figure 7 for Figure 1 Schematic diagram of the status of the garbage compression belt and garbage treatment belt in (II);

[0030] Figure 8 for Figure 1 Schematic diagram of the status of the garbage compression belt and garbage treatment belt in (III);

[0031] Fig. 9 for Figure 1 Schematic diagram of the status of the garbage compression belt and garbage treatment belt in (IV);

[0032] Fig.10 A schematic diagram of a monitoring system provided in an embodiment of the present application. DETAILED DESCRIPTION

[0033] In order to make the technical problems, technical solutions and beneficial effects to be solved by the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0034] It should be noted that when an element is referred to as being "fixed to" or "disposed on" another element, it can be directly on the other element or 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 indirectly connected to the other element.

[0035] It should be understood that the terms "length", "width", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside", etc., indicating the orientation or position relationship, are based on the orientation or position relationship shown in the drawings, and are only for the convenience of describing the present application and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be understood as a limitation on the present application.

[0036] In addition, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of the features. In the description of this application, the meaning of "plurality" is two or more, unless otherwise clearly and specifically defined.

[0037] Please also read Figures 1 to 4The community bagged garbage treatment device 100 provided in the embodiment of the present application is now described. The community bagged garbage treatment device 100 comprises: a garbage delivery belt 10, a garbage detection belt 20, a garbage compression belt 30 and a garbage treatment belt 40.

[0038] Specifically, the garbage delivery belt 10 includes a first conveyor belt 11 and a weighing detection mechanism 12 . The first conveyor belt 11 is arranged on the weighing detection mechanism 12 . The weighing detection mechanism 12 can detect the weight of the bagged garbage delivered on the first conveyor belt 11 .

[0039] Specifically, the garbage detection belt 20 includes a second conveyor belt 21, a garbage pre-inspection mechanism 22, an X-ray detection mechanism 23 and a garbage return assembly 24. The second conveyor belt 21 is connected to the first conveyor belt 11. The garbage pre-inspection mechanism 22, the X-ray detection mechanism 23 and the first rocker arm are sequentially arranged on the second conveyor belt 21.

[0040] Among them, the garbage pre-inspection mechanism 22 can pre-inspect bagged garbage to determine the safety of the bagged garbage; the X-ray detection mechanism 23 can detect and identify the category of bagged garbage to determine the accuracy of garbage classification; the garbage reflow component 24 can reflow bagged garbage with inaccurate garbage classification, the garbage compression belt 30 can compress bagged garbage with accurate garbage classification, and the garbage processing belt 40 can process the compressed bagged garbage according to category.

[0041] It can be understood that when the community bagged garbage disposal equipment 100 is used in the community, community residents can sort the bagged garbage before throwing the garbage, and then put the sorted bagged garbage on the first conveyor belt 11 of the garbage throwing belt 10. The weighing detection mechanism 12 can detect the weight of the bagged garbage and make the first step of judging the bagged garbage. If the bagged garbage is too heavy or too light and exceeds the range of normal garbage, it is judged as abnormal garbage and will not be classified. The system will prompt residents to separate or merge the garbage into bags to ensure that the community bagged garbage disposal equipment 100 will not be damaged. At the same time, it can accurately classify the bagged garbage, which is also beneficial to improve the efficiency of garbage classification.

[0042] 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-inspection mechanism 22 starts to pre-inspect the bagged garbage. The pre-inspection items 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 pre-inspection fails, for example, the volume of the bagged garbage is judged to be too large through volume scanning, which may not pass the X-ray detection mechanism 23, the appearance image recognition finds that the garbage bag of the bagged garbage is not tied tightly and the garbage may overflow, the metal detection finds that the metal object is too large and cannot be compressed, the liquid content in the bagged garbage exceeds the standard through liquid detection, the temperature detection finds that the bagged garbage contains high-temperature objects, and the contraband detection finds that the bagged garbage contains contraband, then the second conveyor belt 21 reverses the transmission, so that the bagged garbage that fails the pre-inspection is re-conveyed to the first conveyor belt 11, and the system will prompt the residents to re-process the garbage, or the property staff will process it in a special way.

[0043] If the garbage pre-inspection mechanism 22 passes the pre-inspection of the bagged garbage, the second conveyor belt 21 transports 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 identifies the category of the bagged garbage by acquiring the X-ray image of the bagged garbage to determine the accuracy of garbage classification. If the identified category of the bagged garbage includes multiple of the four major categories of garbage stipulated by the state, it is determined that the classification of the bagged garbage is inaccurate, and then the second conveyor belt 21 continues to transport the bagged garbage to the garbage return component 24 so that community residents can retrieve the bagged garbage for reclassification.

[0044] If the X-ray detection mechanism 23 detects that the bagged garbage is correctly classified, the second conveyor belt 21 transports the bagged garbage to the garbage compression belt 30. The garbage compression belt 30 compresses the bagged garbage to reduce its volume for easy storage. The garbage disposal belt 40 puts the compressed bagged garbage into the corresponding garbage bin for storage according to the category identified by the X-ray detection mechanism 23.

[0045] Compared with the prior art, the community bagged garbage treatment equipment 100 provided in the present application can pre-inspect bagged garbage through the garbage delivery belt 10 and the garbage detection belt 20, judge the safety of bagged garbage, eliminate the risk of damaging equipment, and improve the efficiency of garbage classification; adopt the X-ray detection mechanism 23 to detect and identify the category of bagged garbage, and judge the accuracy of garbage classification without opening the bagged garbage, so as to effectively avoid secondary pollution; through the garbage return component 24, bagged garbage with inaccurate garbage classification can be returned so that community residents can classify it again; through the garbage compression belt 30, bagged garbage with accurate garbage classification can be compressed to reduce the volume of bagged garbage; through the garbage treatment belt 40, the compressed bagged garbage can be processed according to category; the full automation of garbage pre-inspection, classification identification, compression, and processing is realized to promote the reuse of social resources.

[0046] In another embodiment of the present application, please refer to Figure 5 The garbage pre-inspection mechanism 22 includes a gantry 221, a scanning camera 222 and a light curtain 223. The gantry 221 is arranged on the second conveyor belt 21, and the scanning camera 222 is installed on the top of the gantry 221 for scanning the bagged garbage on the first conveyor belt 11; the light curtain 223 is arranged on the inner side of the gantry 221 for scanning the volume of the bagged garbage.

[0047] It is understandable that when community residents place bagged garbage on the first conveyor belt 11 of the garbage delivery belt 10, after the weighing detection mechanism 12 is triggered, the scanning camera 222 can obtain the image of the bagged garbage on the first conveyor belt 11, and determine whether the garbage bag of the bagged garbage is tied tightly through image recognition detection to prevent the garbage from overflowing or spreading. When the bagged garbage passes through the gantry 221 under the action of the second conveyor belt 21, the light curtain 223 can scan and obtain the volume of the bagged garbage to prevent it from being stuck in the X-ray detection mechanism 23 due to excessive volume, causing blockage and damage to the equipment. In addition, by counting the volume and weight of each bagged garbage, the weight of the classified and stored garbage can also be estimated, thereby reminding the backstage staff to deal with the garbage in each community in a timely manner to prevent the garbage bin from overflowing.

[0048] It is worth noting that, since the light curtain 223 can only scan the projection area of ​​an object at a certain viewing angle, the volume of the bagged garbage that can be obtained by the light curtain 223 is estimated by combining the training model, the image of the bagged garbage obtained by the scanning camera 222, and the weight of the bagged garbage to improve accuracy.

[0049] Please also refer to Figure 5The garbage pre-inspection mechanism 22 also includes a temperature detector 224 and a contraband detection device 225. The temperature detector 224 and the contraband detection device 225 are placed on the inner side of the gantry 221. The temperature detector 224 is used to detect the temperature of the bagged garbage, and the contraband detection device 225 is used to detect the contraband components in the bagged garbage.

[0050] It can be understood that by detecting the temperature of the bagged garbage through the temperature detector 224, high-temperature objects can be prevented from entering the X-ray detection mechanism 23 and the garbage disposal belt 40, such as the bagged garbage containing uncooled charcoal and short-circuited batteries, further reducing the potential risks of garbage disposal.

[0051] The contraband detection device 225 can use test paper to sample the surface of the bagged garbage, and then use the thermal analysis sampler to detect tiny samples to ensure the accuracy of the detection. If found, the property management will be notified through the system and the on-site verification will be signed.

[0052] Please also refer to Figure 5 The garbage pre-inspection mechanism 22 also includes a liquid detector 226 and a metal detector 227. The liquid detector 226 and the metal detector 227 are placed on the inner side of the gantry 221. The liquid detector 226 is used to detect the liquid component of the bagged garbage, and the metal detector 227 is used to detect the metal component of the bagged garbage.

[0053] It is understandable that, based on the metal detector 227, if the metal object is found to be too large and cannot be compressed, the system will prompt the resident to reprocess the garbage, or the property staff will process it in a special way to avoid damaging the compression equipment. If the liquid content in the bagged garbage exceeds the standard through liquid detection, the system will prompt the resident to reprocess the garbage, pour out the liquid in the bagged garbage and then sort it.

[0054] Please also refer to Figure 5 The garbage pre-inspection mechanism 22 also includes a straightening mechanism 228, which 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 arranged on the inner side of the gantry 221. The infrared sensor 2281 is used to sense the position of the bagged garbage, and the power mechanism 2283 can drive the push plate 2282 to straighten the position of the bagged garbage.

[0055] It can be understood that if the position of the bagged garbage is close to the edge of the second conveyor belt 21, in order to enable the garbage pre-inspection mechanism 22 and the X-ray detection mechanism 23 to better detect it, the power mechanism 2283 drives the push plate 2282 to push the bagged garbage to the middle of the second conveyor belt 21.

[0056] In another embodiment of the present application, please refer to Figure 4 The garbage return assembly 24 includes a first swing arm assembly 241 and a garbage bin 242 to be classified. The first swing arm assembly 241 is arranged at the end of the second conveyor belt 21, and the garbage bin 242 to be classified is arranged on one side of the second conveyor belt 21. The bagged garbage can be pushed into the garbage bin 242 to be classified through the first swing arm assembly 241.

[0057] It is understandable that the garbage reflow component 24 can reflow bagged garbage that has not been accurately classified so that community residents can classify it again.

[0058] In another embodiment of the present application, please refer to Figure 1 The garbage compression belt 30 includes a garbage compressor 31 and a sewage treatment mechanism (not shown). The garbage compressor 31 can compress the bagged garbage. The sewage treatment mechanism is connected to the garbage compressor 31 and is used to discharge the sewage generated when the bagged garbage is compressed.

[0059] It is understandable that since kitchen waste contains a lot of water, a large amount of wastewater may be generated during the compression process. Therefore, a sewage treatment mechanism is set up to facilitate the treatment of the sewage generated during the compression process. The sewage treatment mechanism can be connected to the community's sewage pipes.

[0060] In another embodiment of the present application, please refer to Figures 6 to 9 The garbage processing belt 40 includes a third conveyor belt 41, a second swing arm assembly 42, a third swing arm assembly 43 and a plurality of classified garbage bins 44. The third conveyor belt 41 is connected to the garbage compression belt 30. The second swing arm assembly 42 and the third swing arm assembly 43 are arranged on the third conveyor belt 41. The plurality of classified garbage bins 44 are respectively arranged on both sides of the third conveyor belt 41.

[0061] It is understandable that the plurality of classified trash cans 44 include a recyclable trash can 441, a kitchen waste can 442, a hazardous waste can 443, and other trash cans 444. Figure 6 As shown, the compressed bagged garbage will enter the recyclable garbage bin 441 under the transportation of the third conveyor belt 41; when the second swing arm assembly 42 and the third swing arm assembly 43 are as shown in FIG. Figure 7As shown, the compressed bagged garbage will enter the kitchen waste bin 442 under the transportation of the third conveyor belt 41; when the second swing arm assembly 42 and the third swing arm assembly 43 are as shown in FIG. Figure 8 As shown, the compressed bagged garbage will enter the hazardous waste bin 443 under the transportation of the third conveyor belt 41; when the second swing arm assembly 42 and the third swing arm assembly 43 are as shown in FIG. Fig. 9 As shown, the compressed bagged garbage will enter the other garbage bin 444 under the transportation of the third conveyor belt 41.

[0062] In another embodiment of the present application, please refer to Figure 3 The community bagged garbage disposal equipment 100 also 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 light 53. The touch screen 51 is used to display system information and allow community residents to select garbage types. The face recognition camera 52 identifies the identity. The alarm light 53 is used to prompt the garbage classification detection results.

[0063] It is understandable that community residents can log in to the system through the facial recognition camera 52. The system can record the garbage classification and garbage weight of each community resident and rate each household. For example, the more accurate the garbage classification of each community resident and the less garbage generated, the higher the rating, so as to encourage community residents to develop good garbage classification habits and reduce garbage production.

[0064] See also Fig.10 The present application also provides a community bagged waste treatment monitoring system 200, which includes a cloud server 201, a community monitoring device 202, and at least one community bagged waste treatment device 100 as described above.

[0065] Among them, the community bagged garbage disposal equipment 100 is connected to the cloud server 201, and the cloud server 201 is connected to the community monitoring equipment 202, so that the community monitoring equipment 202 can monitor the operation status of each of the community bagged garbage disposal equipment 100 through the cloud server 201.

[0066] Compared with the prior art, the community bagged waste disposal monitoring system 200 provided in the present application is capable of monitoring the operation status of each of the community bagged waste disposal devices 100 through the cloud server 201, remotely acquiring the waste storage capacity of each community bagged waste disposal device 100, and promptly cleaning up overflowing waste bins; promptly detecting hazardous and prohibited items in community waste to ensure the safety of community residents.

[0067] The present application also provides a bagged garbage classification detection method based on X-ray images, which is used to supplement the description that the X-ray detection mechanism 23 is capable of detecting and identifying the category of bagged garbage to determine the accuracy of garbage classification.

[0068] The bagged garbage classification detection method based on X-ray images comprises the following steps:

[0069] Step S1, obtaining an X-ray image of bagged garbage;

[0070] Step S2, layering the X-ray image to obtain multiple layer images;

[0071] Step S3, performing target detection on the plurality of hierarchical images and the X-ray images respectively, and obtaining a plurality of entity targets in each image;

[0072] Step S4, performing fine-grained category recognition on a plurality of entity targets respectively to obtain a plurality of initial fine-grained categories;

[0073] Step S5, fusing the initial fine-grained categories to obtain a number of effective fine-grained categories;

[0074] Step S6: If the plurality of valid fine-grained categories belong to the same type of garbage, it is determined that the garbage classification is correct; otherwise, it is determined that the garbage classification is incorrect.

[0075] It is worth mentioning that X-rays can penetrate materials that ordinary visible light cannot penetrate. Visible light has a long wavelength and its photons have very little energy. When it hits an object, part of it is reflected and most of it is absorbed by the material, so it cannot penetrate the object. However, X-rays are different because of their short wavelength and high energy. When they hit a material, only part of it is absorbed by the material, and most of it penetrates through the gaps between atoms, showing a strong penetrating ability. The ability of X-rays to penetrate matter is related to the energy of the X-ray photons. The shorter the wavelength of the X-rays, the greater the energy of the photons, and the stronger the penetrating power. The penetrating power of X-rays is also related to the density of the material. Materials with high density absorb more X-rays and transmit less; materials with low density absorb less and transmit more.

[0076] Therefore, in step S1, when X-rays are used to penetrate the packed garbage bags, an X-ray image of the bagged garbage can be obtained.

[0077] Since the types and shapes of the objects in the bagged garbage are complex, the objects in the obtained X-ray image are relatively dense. Therefore, in step S2, the X-ray image needs to be layered to obtain several hierarchical images. It must be noted that because the X-ray images obtained by some X-ray machines are in color by default, when the X-ray images are layered, the X-ray images need to be first color clustered and then the color layers are extracted. Each color layer corresponds to a hierarchical image; and the X-ray images obtained by some X-ray machines are grayscale images by default, and the grayscale value range is used to distinguish different grayscale layers. Each grayscale layer corresponds to a hierarchical image. By layering the X-ray images, different garbage in the bagged garbage bags can be separated.

[0078] However, since some garbage may be composed of a variety of different materials, different components of the same garbage may appear in different hierarchical images. Therefore, when performing target detection on a single hierarchical image, the entity target detected is incomplete. Therefore, in step S3, target detection is also performed on the original X-ray image, so that the complete entity target of the garbage can be detected to make up for the shortcomings of target detection on a single hierarchical image. In addition, the target detection preferably adopts a method of a deep learning target detection model.

[0079] Since each of the hierarchical images and the X-ray image can detect multiple physical objects, in step S4, each physical object needs to be identified in a fine-grained category, and each physical object is input into a deep learning fine-grained classification model for classification to further identify the subdivided category to which the physical object belongs. For example, the subdivided categories include glass bottles, keys, batteries, fruits, ceramic tiles, etc.

[0080] In step S4, each entity target will correspond to an initial fine-grained category. Some initial fine-grained categories correspond to one entity target, and some initial fine-grained categories correspond to multiple entity targets. Therefore, in order to improve the accuracy of subdivided categories, it is necessary to fuse several of the initial fine-grained categories to eliminate some invalid fine-grained categories in several initial fine-grained categories and obtain several valid fine-grained categories.

[0081] In step S6, if the final valid fine-grained categories only contain glass bottles and keys, and both glass bottles and keys belong to recyclable garbage, it is determined that the valid fine-grained categories belong to the same type of garbage. If the final valid fine-grained categories contain glass bottles and fruits, and glass bottles belong to recyclable garbage and fruits belong to kitchen waste, it is determined that the garbage classification is incorrect.

[0082] It is worth noting that by performing fine-grained category recognition on several of the entity targets, several initial fine-grained categories are obtained. Even if there are certain errors in the fine-grained category recognition, they can be classified into the same category of garbage in step S6. For example, a metal bottle is recognized as a glass bottle, but the metal bottle and the glass bottle belong to the same category of recyclable garbage, so it does not affect the final garbage classification result. Therefore, by performing fine-grained category recognition on several of the entity targets, the robustness of garbage classification is improved.

[0083] In addition, "the same type of garbage" should refer to one of the four garbage classification categories stipulated by the state. The four garbage classification categories stipulated by the state include recyclables, kitchen waste, hazardous waste and other garbage.

[0084] The X-ray image-based bagged garbage classification detection method provided by the present application, compared with the prior art, can intelligently classify and detect bagged garbage without opening the bagged garbage by acquiring X-ray images of the bagged garbage, thereby reducing secondary pollution; target detection is performed on the several hierarchical images and the X-ray images respectively, which not only avoids mutual interference between different targets in the X-ray images, but also prevents target omissions or recognition errors caused by different components of the same type of garbage appearing in different hierarchical images; and the robustness and accuracy of garbage classification are improved by performing fine-grained category recognition and fusion processing on several of the said entity targets.

[0085] In another embodiment of the present application, the X-ray image is a color image, and the method for layering the X-ray image comprises the following steps:

[0086] Performing color clustering on the X-ray image;

[0087] After color clustering, color layers are extracted from the image, and each color layer is a layer of image.

[0088] It is understandable that most X-ray images output by existing X-ray machines are color images by default, and the color images are obtained after being processed by the X-ray machine. For example, color clustering is performed on the X-ray image, so that the image after color clustering has only three colors: red, green, and blue, so three hierarchical images can be extracted, and the objects in each hierarchical image are garbage with similar physical properties, so that different types of garbage in bagged garbage can be separated.

[0089] In another embodiment of the present application, the X-ray image is a grayscale image, and the method for stratifying the X-ray image comprises the following steps:

[0090] Divide the grayscale range from 0 to 255 into several gray levels;

[0091] Dividing the X-ray image into a plurality of grayscale layers according to the grayscale level;

[0092] Each grayscale layer is a level image.

[0093] It can be understood that, for example, the grayscale interval 0 to 255 is divided into four grayscale levels, 30 to 80, 80 to 150, and 150 to 255. Fruit peel garbage has a weaker absorption capacity for X-rays, and the grayscale intervals corresponding to its physical targets are mostly between 80 and 150, while metal garbage has a stronger absorption capacity for X-rays, and the grayscale intervals corresponding to its physical targets are mostly between 0 and 30. Therefore, different physical targets in the X-ray image can be extracted into corresponding hierarchical images to avoid mutual interference during target recognition.

[0094] Of course, the grayscale range of 0 to 255 can be divided more finely, for example, every 5 grayscale values ​​are one grayscale level. This can divide the fine-grained categories more finely, but at the same time the amount of calculation and response time will be a little more. In actual use, it must be set according to the actual situation.

[0095] In another embodiment of the present application, the bagged garbage classification detection method based on X-ray images further includes:

[0096] Step S3.1, performing a pixel logic "OR" operation on at least any two hierarchical images to obtain a combined hierarchical image, performing target detection on the combined hierarchical image, and obtaining a number of entity targets in each image.

[0097] It is understandable that because some garbage is composed of different materials, the X-ray absorption capacity of the constituent materials varies greatly, which will cause the physical targets corresponding to the different constituent materials of the garbage to appear in different levels of images.

[0098] For example, a light bulb is mainly composed of a glass cover and a metal lamp holder. Due to the large difference in the X-ray absorption capacity between the glass cover and the metal lamp holder, the physical target of the glass cover appears in the hierarchical image with grayscale levels of 150 to 255, and the physical target of the metal lamp holder appears in the hierarchical image with grayscale levels of 0 to 30. Therefore, only the glass cover part can be identified in the target detection of the hierarchical image with grayscale levels of 150 to 255, and only the metal lamp holder part can be identified in the target detection of the hierarchical image with grayscale levels of 0 to 30. The physical target obtained by directly performing target detection on the X-ray image may be interfered by other garbage in the bagged garbage, resulting in deviations in the fine-grained category recognition of the physical target. Ultimately, the glass cover will be identified as a glass beverage bottle, and the metal lamp holder will be identified as a metal beverage cap, both of which are classified as recyclable garbage.

[0099] Therefore, a pixel logic "OR" operation is performed on at least any two hierarchical images to obtain a combined hierarchical image, in which a complete physical target of a light bulb can appear. The light bulb can eventually be identified and classified as hazardous waste, thereby improving the accuracy of waste classification detection.

[0100] In another embodiment of the present application, the bagged garbage classification detection method based on X-ray images further includes:

[0101] Step S4.1, performing a pixel logic "OR" operation on at least any two entity objects to obtain a combined entity object, and performing fine-grained category recognition on the combined entity object to obtain an initial fine-grained category.

[0102] Similarly, taking the light bulb in the previous embodiment as an example, when performing a pixel logic "OR" operation on at least any two physical targets, the position of each physical target in the hierarchical image should be retained so that the obtained combined physical target is a perfectly spliced ​​light bulb shape.

[0103] It is worth noting that when performing target detection, corrosion, expansion and other procedures in image processing are usually executed to eliminate some interference factors. Different from the previous embodiment, in this embodiment, the method of performing pixel logical "OR" operation on hierarchical images is not adopted. Instead, after target detection, the physical target is subjected to pixel logical "OR" operation, and then fine-grained category recognition is performed. This can more effectively eliminate the influence of interfering pixels and accurately identify the fine-grained categories corresponding to garbage of multiple components.

[0104] In another embodiment of the present application, in step S4, the method for fine-grained category identification includes:

[0105] According to the hierarchical image where the entity target is located, all subdivision categories corresponding to the hierarchical image are filtered out from the fine-grained classification model;

[0106] Then, the contour shape and area size of the entity target extracted from the hierarchical image are matched to identify the initial fine-grained category.

[0107] It is worth noting that the common materials of the entity targets in each hierarchical image are fixed. For example, fruit peels and leftovers have weak X-ray absorption capacity, and their entity targets are all in the hierarchical image with a grayscale range of 80 to 150. Metal and ceramic garbage have strong X-ray absorption capacity, and their entity targets are all in the hierarchical image with a grayscale range of 0 to 30. Therefore, compared with the conventional fine-grained category recognition method that only matches the contour shape and area size, this embodiment first selects all subdivision categories corresponding to the hierarchical image from the fine-grained classification model according to the hierarchical image where the entity target is located, which can not only reduce the number of matching objects, improve the accuracy of fine-grained category recognition, but also reduce the response time.

[0108] In another embodiment of the present application, in step S5, the fusion processing method includes:

[0109] Setting a predetermined threshold value T1;

[0110] Count the number of times each initial fine-grained category is identified K1;

[0111] If K1≥T1, the initial fine-grained category is a valid fine-grained category; if K1<T1, the initial fine-grained category is an invalid fine-grained category.

[0112] It is understandable that, because target detection is performed on a plurality of the hierarchical images and the X-ray images respectively in step S3, the entity target of the same piece of garbage can be retrieved in both the hierarchical images and the X-ray images. In addition, the entity target corresponding to the same piece of garbage may also exist in different hierarchical images, and may be extracted from the different hierarchical images and identified as the same initial fine-grained category.

[0113] For example, an umbrella is composed of oilcloth and a metal frame, and the X-ray images of the oilcloth and the metal frame are located in two different hierarchical images after stratification. The two hierarchical images are both identified as the initial fine-grained category of the umbrella through object detection and fine-grained category recognition, and the number of times the initial fine-grained category of the umbrella is identified is counted as 2. If the unstratified X-ray image is also identified as the initial fine-grained category of the umbrella through object detection and fine-grained category recognition, the number of times the initial fine-grained category of the umbrella is identified is counted as 3.

[0114] Therefore, by counting the number of times each initial fine-grained category is identified, several initial fine-grained categories are fused to obtain several valid fine-grained categories; several invalid fine-grained categories can be effectively eliminated to improve the robustness of garbage classification detection.

[0115] In another embodiment of the present application, in step S5, the fusion processing method includes:

[0116] Setting a predetermined threshold value T2;

[0117] Count the integral K2 of each initial fine-grained category;

[0118] If K2≥T2, the initial fine-grained category is a valid fine-grained category; if K2<T2, the initial fine-grained category is a valid fine-grained category;

[0119] The integral K2 of each initial fine-grained category is equal to the sum of the confidence levels of the initial fine-grained category identified each time.

[0120] It is understandable that, because the number of initial fine-grained categories in the fine-grained classification model is limited, but each entity target will be identified into a corresponding initial fine-grained category, the confidence level of the entity target being identified will be low.

[0121] For example, if two entity targets are identified in the same initial fine-grained category with confidence levels of 40% and 45% respectively, the integral of the initial fine-grained category is K2=0.85. If the predetermined threshold T2=1 is set, K2<T2, and the initial fine-grained category is finally judged as an invalid fine-grained category. Therefore, the use of the integral system can further refine the fusion processing process, filter interference factors, and improve the accuracy of garbage classification.

[0122] In another embodiment of the present application, in step S6, if it is determined that the garbage classification is correct, the bagged garbage is transported to the corresponding garbage bin.

[0123] In another embodiment of the present application, in step S6, if it is determined that the garbage classification is incorrect, an alarm is issued to prompt reclassification.

[0124] The above description is only a preferred embodiment of the present application and is not intended to limit the present application. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present application should be included in the protection scope of the present application.

Claims

1. A community bagged garbage disposal device, characterized in that: include: Garbage delivery belt, garbage detection belt, garbage compression belt and garbage treatment belt; The garbage delivery belt comprises a first conveyor belt and a weighing detection mechanism, wherein the first conveyor belt is arranged on the weighing detection mechanism, and the weight of the bagged garbage delivered on the first conveyor belt can be detected by the weighing detection mechanism; The garbage detection belt includes a second conveyor belt, a garbage pre-inspection mechanism, an X-ray detection mechanism and a garbage return assembly, the second conveyor belt is connected to the first conveyor belt, the garbage return assembly includes a first swing arm assembly and a garbage bin to be classified, the first swing arm assembly is arranged at the end of the second conveyor belt, the garbage bin to be classified is arranged on one side of the second conveyor belt, and the bagged garbage can be pushed into the garbage bin to be classified by the first swing arm assembly; the garbage pre-inspection mechanism, the X-ray detection mechanism and the first swing arm are arranged on the second conveyor belt in sequence; Wherein, the garbage pre-inspection mechanism can pre-inspect the bagged garbage to determine the safety of the bagged garbage; the garbage pre-inspection mechanism includes a gantry, a scanning camera and a light curtain, the gantry is arranged on the second conveyor belt, the scanning camera is installed on the top of the gantry, and is used to scan the bagged garbage on the first conveyor belt; the light curtain is arranged on the inner side of the gantry, and is used to scan the volume of the bagged garbage; the garbage pre-inspection mechanism also includes a liquid detector and a metal detector, the liquid detector and the metal detector are placed on the inner side of the gantry, the liquid detector is used to detect the liquid component of the bagged garbage, and the metal detector is used to detect the metal component of the bagged garbage; The X-ray detection mechanism can obtain X-ray images of bagged garbage, perform color clustering on the X-ray images, extract color layers from the color clustered images, each color layer is a layer image, and obtain a number of layer images. Target detection is performed on the layer images and the X-ray images, and a number of entity targets are obtained for each image. A pixel logic "OR" operation is performed on at least any two layer images to obtain a combined layer image. Target detection is performed on the combined layer image, and a number of entity targets are obtained for each image. Fine-grained category recognition is performed on the several entity targets to obtain a number of initial fine-grained categories. The several initial fine-grained categories are fused to obtain a number of effective fine-grained categories. If the several effective fine-grained categories belong to the same type of garbage, it is judged that the garbage classification is correct, otherwise it is judged that the garbage classification is incorrect; The garbage return assembly can return bagged garbage that is not accurately classified, and the garbage compression belt can compress bagged garbage that is accurately classified. The garbage compression belt includes a garbage compressor and a sewage treatment mechanism, and the garbage compressor can compress the bagged garbage. The sewage treatment mechanism is connected to the garbage compressor and is used to discharge sewage generated when the bagged garbage is compressed. The garbage processing belt comprises a third conveyor belt, a second swing arm assembly, a third swing arm assembly and a plurality of classified garbage bins, the third conveyor belt is connected to the garbage compression belt, the second swing arm assembly and the third swing arm assembly are arranged on the third conveyor belt, and the plurality of classified garbage bins are respectively arranged on both sides of the third conveyor belt; the garbage processing belt can process the compressed bagged garbage according to the category; By counting the volume and weight of each bag of garbage, the weight of the classified and stored garbage is estimated to remind back-end staff to dispose of the garbage in each community in a timely manner.

2. The community bagged garbage disposal equipment according to claim 1, characterized in that: The garbage pre-inspection mechanism also includes a temperature detector and a contraband detection device, which are placed on the inner side of the gantry. The temperature detector is used to detect the temperature of the bagged garbage, and the contraband detection device is used to detect the contraband components in the bagged garbage.

3. The community bagged garbage disposal equipment according to claim 1, characterized in that: The garbage pre-inspection mechanism also includes a straightening mechanism, which includes an infrared sensor, a push plate and a power mechanism that drives the push plate to swing. The infrared sensor and the power mechanism are arranged on the inner side of the gantry. The infrared sensor is used to sense the position of the bagged garbage, and the power mechanism can drive the push plate to straighten the position of the bagged garbage.

4. The community bagged garbage disposal equipment according to claim 1, characterized in that: The community bagged garbage disposal equipment also includes a human-computer interaction component, which includes a touch screen, a face recognition camera and an alarm light. The touch screen is used to display system information and allow community residents to select garbage types. The face recognition camera identifies identity. The alarm light is used to prompt the garbage classification detection results.

5. A community bagged garbage disposal monitoring system, characterized in that: The community bagged waste treatment monitoring system comprises a cloud server, a community monitoring device, and at least one community bagged waste treatment device according to any one of claims 1 to 4; Among them, the community bagged waste treatment equipment is connected to the cloud server, and the cloud server is connected to the community monitoring equipment, so that the community monitoring equipment can monitor the operation status of each community bagged waste treatment equipment through the cloud server.

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