1023 results about "Waste sorting" patented technology

The invention relates to the field of image recognition, in particular to an automatic solid waste sorting method and device applying machine vision. The method comprises the following steps that monitoring images of to-be-sorted areas in multiple directions are obtained; performing spatial geometric view angle deviation correction on the monitoring images of the to-be-sorted areas in the multiple directions, performing spatial panoramic image optimization, and constructing a panoramic image of the sorting area; performing frame-by-frame solid waste visual positioning scanning on the panoramic image of the sorting area, and performing three-dimensional morphological structure analysis so as to generate a three-dimensional morphological structure representation of each solid waste; performing solid type classification decision according to the three-dimensional morphological structure representation of each solid waste, and performing bounding box coding mapping to obtain a coding mapping bounding box of each solid waste; and performing equipment action sequence simulation on the coding mapping bounding box of each solid waste, and constructing a fine tuning action sequence. Efficient solid waste recognition is achieved, and the sorting efficiency is improved.

The invention relates to the technical field of environment intelligent management, and discloses a multi-community-oriented AI intelligent household garbage control processing system which comprises a multi-mode sensing module, a data processing and edge calculation module, a garbage quantity prediction and scheduling optimization module, an intelligent decision and multi-source data fusion module and a self-adaptive adjustment and feedback mechanism module. The multi-community-oriented AI intelligent household garbage control processing method comprises the following steps that S1, a multi-modal sensing module collects garbage data; s2, an edge calculation module performs preprocessing, classification and encrypted transmission; s3, optimizing transportation and scheduling; s4, generating an optimal processing decision; and S5, adaptively adjusting the strategy. Through the technical scheme of combining multi-modal perception and edge calculation, accurate garbage data acquisition and efficient processing in a multi-community environment are realized, the technical effects of reducing data transmission burden and improving garbage classification data quality are achieved, and garbage classification is more accurate and reliable.

The invention relates to the technical field of solid waste monitoring and management, in particular to a full-life-cycle management method and system for solid waste. The method comprises the following steps: collecting waste source monitoring data based on a sensor, performing distributed storage management according to the waste source monitoring data, and constructing a solid waste real-time management database; according to the solid waste real-time management database, waste recovery types are predicted one by one, dynamic sorting control treatment is carried out, and therefore a dynamic solid waste sorting strategy is generated; obtaining a solid waste recovery processing log; carrying out urban garbage disposal recycle bin node identification on the solid waste recycling log, and constructing an urban recycle bin distribution map; and identifying positioning information of each waste source according to the waste source monitoring data, and making a dynamic solid waste transportation decision based on the distribution map of the urban recycle bin to generate a dynamic solid waste transportation strategy. According to the invention, the solid waste recovery efficiency and real-time monitoring management are improved.

The invention relates to a composite material garbage sorting method based on a hyper-spectrum technology and an AI classification model. The method comprises the following steps that S1, multi-modal data collection is conducted; s2, the collected multi-modal data are preprocessed and fused, and combined features of the multi-modal data are obtained; s3, constructing a classification model based on the multi-modal neural network model, and performing classification according to the joint features; s4, based on a classification result, using a SegFormer deep segmentation network to identify junk components at a pixel level, and realizing accurate segmentation of a plurality of material composition objects; s5, target tracking of the garbage trajectory is kept through a target tracking algorithm; and S6, on the basis of the target tracking result in the S5, the position of the garbage on the conveying belt is predicted in real time, and the sorting action is precisely executed according to the classification and segmentation result. According to the invention, the complex composite material garbage can be efficiently and accurately treated.

The invention provides a super-network personalized federal learning method for garbage classification. According to the method, the precision of the model is improved. The method comprises the following steps: firstly, initializing a shared layer parameter, a personalized layer parameter of each client and a super network initialization parameter, issuing the shared layer parameter to each client, then training a personalized layer on local data by each client, updating the personalized layer parameter, sending the shared layer parameter to a server by each client, and sending the shared layer parameter to the server by each client. And the server performs weighted aggregation through the weight generated by the super network, updates a shared layer parameter, optimizes the super network and updates a weight generation strategy for next aggregation. According to the method, the aggregation weight of the client sharing layer is dynamically generated by introducing the super network, and the limitation of a simple average aggregation mode is overcome.

The invention provides a garbage power generation optimization method, a storage medium and computer equipment. The garbage power generation optimization method comprises the steps of S1, garbage classification and preliminary data processing; s2, a boxing algorithm is applied, and the garbage is combined and optimized; and S3, the garbage incineration process is monitored, regulated and controlled. According to the invention, heat energy release in each incineration process can be ensured to be maximized; by introducing a heuristic method and combining a boxing algorithm, not only can garbage grouping and combustion strategies be optimized, but also dynamic adjustment can be made according to real-time monitoring data, the incineration efficiency and stability are improved, the stability of heat energy release is ensured, and then the heat energy recovery efficiency is improved; a systematic and global optimization scheme is formed, all links of garbage treatment can be considered, and the overall efficiency is improved; the method can be widely applied to waste incineration power plants, can greatly improve the heat energy utilization rate and the power generation efficiency of the incineration power plants, reduces emission of harmful substances, and improves environmental protection benefits.

The invention provides a full-automatic taking, placing and selecting integrated intelligent plate laser cutting production line, belongs to the technical field of laser cutting, and solves the problems that existing laser cutting equipment is poor in positioning effect, low in laser cutting freedom degree, lack of waste material sorting and the like. Comprising a carrying platform mechanism, a sorting and picking mechanism, two waste box transferring mechanisms, a machining platform mechanism, a plate moving mechanism, a separating and feeding mechanism, a multi-axis laser tool bit mechanism, a dust collection, sorting and waste discharge assembly and a waste plate moving-out mechanism, and the two waste box transferring mechanisms are located on the front side and the rear side of the dust collection, sorting and waste discharge assembly correspondingly; a finished product bearing tray or two finished product crawler machines are arranged below the carrying platform mechanism, and jacking positioning mechanisms and positioning electric push rods are arranged on the right rear portion of the waste plate moving-out mechanism and the right rear portion of the machining platform mechanism. According to the multi-axis cutting device, multiple times of positioning, multi-axis accurate cutting and chipping and smoke suction can be conducted on plates, multiple times of classification and transfer can be conducted on waste, and finished products can be quickly sorted, picked and output in a classified mode.

The invention relates to the technical field of solid waste treatment, in particular to an intelligent waste sorting method based on multi-sensor fusion. Carrying out multi-level fusion decision making: carrying out sewage reflection suppression on the visible light image; carrying out matching identification and rejecting a liquid pollution area based on a near infrared spectrum; fusing the visible light texture, the spectral feature and the electromagnetic signal to generate a space grid feature vector; identifying the material category through a cascade classifier, and dynamically adjusting the weight of each sensor in the decision according to the environmental parameters; self-adaptive sorting execution: triggering a corresponding sorting execution mechanism according to an identification result; based on the transmission belt speed, the execution mechanism response delay and the material physical attribute, the action advance compensation amount is calculated; the action time of an execution mechanism is adaptively prolonged for the stacked materials according to the stacking hierarchy; and online feedback optimization. Through dynamic compensation and time sequence adjustment, the time sequence consistency of multi-sensor data is ensured, and the influence of band speed fluctuation is overcome.

The patent of the present invention discloses an automatic classification and recycling device for kitchen waste, which specifically relates to the technical field of resource recycling. An automatic classification and recycling device for kitchen waste, including a recycling box, a stepper motor is provided on the recycling box, and a first rotating shaft is connected to the stepper motor; a holding plate is distributed on the first rotating shaft, and a first gravity sensor is provided on the first rotating shaft; a first fixed ring is provided in the recycling box, a threaded rod is provided in the first fixed ring, a clamping plate is connected to the threaded rod, and a second gravity sensor is also provided on the clamping plate; a first driven gear is provided on the threaded rod; a second rotating shaft and a partition plate are provided in the recycling box, a first motor is provided on the second rotating shaft, a blade is provided on the second rotating shaft, and a second motor is also provided on the recycling box, and a driving gear is provided on the second motor, and the driving gear is meshed with two first driven gears. The technical solution of the present invention solves the problem that the existing office building garbage cannot be classified and recycled, and can be used for the centralized recycling of kitchen waste.

The invention relates to the technical field of solid waste sorting scheduling, in particular to a real-time monitoring optimization method and device for a solid waste collection, transportation and sorting ERP system. The method comprises the following steps: obtaining a real-time solid waste sorting log based on a solid waste collection, transportation and sorting ERP system; solid waste carrying vehicle tracking is carried out on the real-time solid waste sorting log, and a carrying track distribution visual view is constructed; acquiring an omnibearing monitoring image of a real-time sorting site; equipment sorting behavior visual identification is carried out on the real-time sorting site omnibearing monitoring image, dynamic sorting evolution is carried out, and a dynamic sorting twinborn model is constructed; carrying out multi-time-point solid waste sorting simulation on the dynamic sorting twinborn model, carrying out sorting load demand prediction, and generating a sorting load demand prediction value; and carrying out vehicle load calculation on the sorting load demand prediction value one by one, and then carrying out dynamic vehicle scheduling decision making to obtain a dynamic vehicle scheduling strategy. According to the invention, efficient and real-time solid waste sorting scheduling optimization is realized.

The invention discloses a city appearance environment early warning method and system based on AI intelligent garbage identification, and relates to the technical field of artificial intelligence and garbage classification technologies. The method comprises the steps that firstly, garbage classification throwing stations are set; step 2, acquiring and processing image data; step 3, carrying out image frame selection and tracking; 4, setting a threshold value and generating prompt information; 5, scheduling the garbage trucks, connecting the garbage trucks in series according to the uploaded alarm stations, and designing a route; by monitoring the state of the garbage throwing station in real time, the system can timely find the situation that the number of the garbage cans reaches the standard, and automatically generate early warning information, so that an environmental sanitation management department can timely dispatch garbage trucks to carry out clearing and transportation, and environmental pollution and resource waste caused by long-time garbage accumulation are avoided; the dynamic adjustment function of the system ensures that the driving route of the garbage truck can be rapidly updated when the actual situation changes, for example, early warning is newly added, and the garbage treatment efficiency and the response speed are further improved.

The invention discloses an intelligent garbage sorting system and method based on mechanical arm visual grabbing, the system comprises an upper computer, a depth camera and a mechanical arm, and a visual perception module, a target recognition module, a grabbing prediction module and a planning control module are integrated in the upper computer; the visual perception module is used for controlling the depth camera to obtain junk RGB-D information in a scene; the target recognition module receives the RGB information, performs garbage recognition by adopting a multi-target detection recognition algorithm, recognizes garbage types and position information in a scene, and obtains a local depth image according to the garbage position information and depth information; the grabbing prediction module is used for carrying out grabbing pose prediction by adopting a grabbing pose prediction algorithm according to the local depth image to obtain an optimal grabbing pose; the planning control module completes coordinate transformation according to the optimal grabbing posture and controls the mechanical arm to execute grabbing and sorting tasks according to the grabbing posture after coordinate transformation and the garbage category; the accuracy and efficiency of garbage classification are improved.

The invention provides an intelligent garbage classification box management and control method, which comprises the steps of performing logic verification on a cleaning data set and garbage box layout reference information, and if data contradiction is detected, triggering a rule base correction mechanism to generate an integrated data set; performing redundant field deletion operation on the integrated data set, and fusing meteorological time sequence data and dustbin distribution data to generate a structured feature set; performing time sequence analysis on the structured feature set, and if it is detected that a meteorological feature value exceeds a preset threshold value, marking the structured feature set as a high-influence time period, and generating a marked feature set; inputting the labeled feature set into a random forest model, and predicting the saturation distribution of the garbage cans in each region in combination with historical clearance records; and calling a scheduling optimization model according to the saturation distribution, and if a high-saturation region is detected, dynamically generating a clearance path parameter, and outputting a final scheduling scheme.

The utility model is suitable for the technical field of garbage classification, and provides a garbage classification throwing station which is provided with a box body, a frame, an overturning plate, a limiting plate and a lifting mechanism, in the garbage throwing process, the overturning plate can be driven by the gravity of garbage to overturn downwards, and after the garbage falls into a garbage can, the overturning plate is reset under the action of a reset torsion spring, so that the garbage can be automatically thrown into the garbage can. The reset overturning plate can block the throwing opening of the dustbin body, the phenomenon that garbage smell is diffused all around is effectively avoided, in addition, in the process that the lifting mechanism drives the frame to move from top to bottom, the limiting plate limits the overturning plate, the overturning plate can extrude and compress garbage in the dustbin, and therefore the space of the garbage is reduced, and the garbage utilization rate is improved. And the replacement frequency of the dustbin is reduced.

The invention relates to the technical field of garbage treatment, in particular to a smart city-oriented garbage classification and recognition system, which comprises an image acquisition and restoration module, a multi-modal feature fusion module, a dynamic classification decision module and a classification result output module, wherein the image acquisition and restoration module is used for acquiring and restoring an image of a garbage throwing point and outputting a restored three-dimensional image; the multi-modal feature fusion module is used for fusing the extracted features into multi-modal fusion features through a space-time alignment algorithm; the dynamic classification decision module is used for classifying the parallel double-branch convolutional neural network integrated with the attention mechanism; and the classification result output module is used for triggering a control signal of the garbage recycling equipment. According to the intelligent urban garbage classification system, through collaborative design of multi-modal feature fusion and a parallel classification structure, accurate recognition of garbage materials and purposes in a complex environment is achieved, the recycling equipment can be automatically linked, and the overall intelligent level of the intelligent urban garbage classification system is improved.

The invention relates to the technical field of garbage classification, and discloses an urban management garbage classification transportation system which comprises an intelligent classification module, a data collection and analysis module, a transportation scheduling module and a monitoring and management module. The intelligent classification module is used for automatically classifying the garbage by using image recognition and machine learning technologies; the data collection and analysis module is used for collecting data of each garbage throwing point, including garbage type, weight and throwing frequency; the transportation scheduling module is used for dynamically adjusting a garbage transportation route and a time table according to real-time data and prediction analysis; and the monitoring and management module is used for monitoring the whole process of garbage classification and transportation. The method has the advantage of improving the accuracy and the treatment efficiency of garbage classification.

The utility model discloses a waste garbage sorting device for building, and relates to the technical field of building garbage sorting, the waste garbage sorting device comprises a device main body, the top of the device main body is provided with a feeding port, the inner wall of the feeding port is rotatably connected with a first threaded rod, one end of the first threaded rod is fixedly connected with a first servo motor, and the other end of the first threaded rod is fixedly connected with a second servo motor. By arranging a first threaded rod, when construction waste is sorted through the waste sorting device, in order to improve the cleaning effect of a crushing roller on cloth lint carried on the surface of the construction waste, the situation that the lint adheres to the surface of the crushing roller, and consequently the crushing roller is stuck is prevented; and when the crushing roller needs to be cleaned, a first servo motor is started to drive a lifting box to slide along the inner wall of a sliding groove through rotation of a first threaded rod, the lifting box moves to drive the crushing roller to ascend and descend from a feeding opening, and the effect of conveniently cleaning flannelette on the surface of the crushing roller is achieved.

The invention relates to the technical field of household garbage treatment, in particular to a rural household garbage classification and resourceful treatment circulation system, which comprises straw, harmful garbage, recyclable garbage, kitchen garbage, large household garbage and sludge; the rural household garbage treatment system comprises a household garbage classification system, a household garbage pyrolysis treatment system, a household garbage recycling treatment system, a harmful garbage recycling treatment system, a kitchen garbage recycling treatment system, a large household garbage classification recycling treatment system and a sludge recycling treatment system. By means of a centralized treatment mode of the rural domestic garbage, the problem that landfill of the rural domestic garbage is difficult is solved, corresponding economic value is brought to the rural area, the idea of waste utilization, circular economy, energy conservation and emission reduction is achieved, the rural environment is better, and the economic benefit of the rural area is improved. And a solid foundation is laid for creating a high-quality living environment in rural areas.

The invention belongs to the technical field of garbage classification, and particularly relates to an intelligent household garbage classification device. When garbage is thrown, the garbage firstly passes through a first sensing assembly, the first sensing assembly senses the quantity of the thrown garbage and transmits information to a control mechanism, and the control mechanism controls a garbage sorting and conveying mechanism according to the quantity of the garbage; garbage falls on the garbage throwing mechanism in sequence, the garbage on the garbage throwing mechanism is shot through the image recognition mechanism, data are transmitted to the control mechanism, the control mechanism judges the garbage type, then the garbage throwing mechanism is controlled to throw the garbage into the garbage receiving mechanism of the corresponding type, and garbage classification work is completed. According to the garbage sorting and conveying device, garbage can be classified, meanwhile, through the arrangement of the garbage sorting and conveying mechanism, the device can treat various kinds of garbage at a time, and the device is more suitable for practical application.

The invention discloses an ecological environment protection system for sorting management of historical remaining solid wastes, and relates to the technical field of environment protection, and the ecological environment protection system comprises a solid waste collection module, an intelligent sorting module, a treatment and disposal module, an environment monitoring module and a central control module; the solid waste collecting module is used for collecting solid waste which is left in history and comprises different types of garbage storage containers, sealing and transporting the solid waste, and transporting the collected solid waste to a sorting treatment area. According to the ecological environment protection system, a plurality of modules are integrated, an efficient and scientific historical remaining solid waste sorting management system is constructed, the system can accurately predict the waste output, the design of a waste storage container is optimized, effective collection and sealed transportation of waste are ensured, and the system is suitable for large-scale popularization and application. And the intelligent sorting module is combined with an image recognition technology and a sensor technology, so that the sorting accuracy is improved, and resource utilization of wastes is facilitated.

The invention relates to a fusion detection method for heterogeneous sensors of an intelligent gangue selection robot in a limited space, and belongs to the field of fusion of technical heterogeneous sensors. VOC time sequence signals of a bionic electronic nose array, laser radar cloud data and pose information of an inertial measurement unit are synchronously collected, and the VOC time sequence signals are denoised through a generative adversarial network model; voxel filtering and outlier elimination are carried out on the laser radar cloud data; the VOC concentration gradient is predicted based on CFD simulation, a three-dimensional environment map is constructed in combination with laser radar cloud data and inertial measurement unit poses, and a smell concentration thermodynamic diagram is marked; and extracting robust odor fingerprints from the denoised VOC time sequence signals, aligning feature distribution of different mining areas, and updating the classification model. According to the scheme, the gangue selection robot is guided to preferentially explore a hidden area with low VOC concentration and high CO2 accumulation through the odor concentration gradient, and the detection capacity of non-dominant gangue piles is remarkably improved.

The utility model discloses a solid-liquid separation device for garbage classification, which relates to the technical field of garbage classification and comprises a water storage tank, a separation tank is rotatably arranged in the water storage tank, a filter screen is fixedly connected to the bottom of the separation tank, connecting rods are fixedly connected to two sides of the separation tank, electric push rods are hinged to outer walls of two sides of the water storage tank, and the electric push rods are fixedly connected to the bottom of the separation tank. The output ends of the two electric push rods are hinged to the outer walls of the two connecting rods correspondingly, sliding rods are fixedly connected to the upper ends of plate bodies on the two sides of the separation box correspondingly, and the mounting shafts, the connecting rods, the electric push rods, the sliding rods, sliding blocks, pulleys, connecting frames, positioning columns, protection plates, adjusting screw rods, mounting plates and brush structures are arranged; the effect of automatically cleaning the filter screen is achieved, the problems that a filter screen in an existing solid-liquid separation device for garbage classification needs to be manually detached to be cleaned, cleaning is troublesome and not convenient enough are solved, and the solid-liquid separation device for garbage classification has practicability.

The invention relates to the technical field of garbage classified transportation, and provides an intelligent garbage classified transportation control method and system, and the method comprises the steps: obtaining a coordinate region semantic tag; based on a YOLOV5 neural network model, carrying out classification identification on the junk image, and obtaining a confidence coefficient vector of a classification result; collecting the weight of garbage in the garbage can at a preset frequency, and constructing weight time sequence data; material information of garbage in the garbage can is obtained, and garbage material characteristics are obtained; obtaining multi-dimensional feature fusion information; and performing block chain chaining on the multi-dimensional feature fusion information to obtain a block chain traceability code. According to the method, the comprehensive index for tracing can be obtained, so that quick retrieval during tracing is facilitated, and the overall tracing capability of garbage classified transportation can be enhanced; the problem that in the prior art, due to the fact that garbage can positioning information, garbage materials and other multi-dimensional information are not fused, the garbage classification transportation tracking and tracing overall capacity needs to be further enhanced is solved.

The invention provides a building solid waste self-adaptive sorting method and system based on multi-modal vector retrieval. The method comprises the steps that original data of building solid waste are collected; extracting multiple data features from the original data; fusing the plurality of data features to obtain a fused feature vector; performing similarity matching on the fused feature vector database in a vector retrieval mode, and confirming solid waste material classification and a corresponding sorting decision instruction; and based on the sorting decision instruction, building solid waste sorting is executed. The problems that a traditional sorting technology is low in precision and poor in adaptability are solved. The system can be widely applied to the fields of construction waste recovery, resourceful treatment and the like, and has remarkable economic and environmental benefits.

The invention provides an intelligent garbage classification robot system and method based on multi-modal sensing, and the system comprises a multi-modal sensing subsystem which is used for detecting the garbage form in real time, judging the material rigidity in real time, and carrying out the component recognition; the sorting execution module is used for sorting the garbage in real time according to the recognition result of the multi-mode sensing subsystem; and the rebate control module is used for calculating a rebate amount and carrying out fee payment. According to the technical scheme, the sorting efficiency and sorting quality of garbage classification are improved.

The invention discloses a community garbage classification platform based on ResNet, and relates to the technical field of household garbage classification, and the platform utilizes a transfer learning technology to finely adjust a ResNet model based on an ImageNet pre-training model so as to realize automatic classification of community garbage. In specific implementation, all layers of the ResNet model are frozen, parameters of Layer4 are unfrozen, Layer3 output features are recombined according to a new garbage classification data set by means of a gradient descent algorithm, and output of Layer4 can better represent advanced features in a garbage classification task. The platform is combined with the mobile terminal and has the functions of garbage classification query, door-to-door recycling reservation and point exchange, and the management terminal can manage users and visual data. The invention aims to significantly improve the garbage classification efficiency and accuracy, simplify the manual operation, and create an intelligent and automatic scheme for community garbage classification management.

The invention discloses an urban garbage classified collection and scheduling method based on the Internet of Things, and relates to the technical field of urban garbage classified collection, and the method comprises the steps: deploying an intelligent garbage can with the filling rate and environmental parameter perception capability in each region of a city, and uploading the collected state data to an edge gateway of the region through a low-power wide area network; the edge gateway performs localized priority evaluation based on the received real-time state data of each intelligent garbage can in combination with the capacity information, the last clearance time and the attribute of the area where the intelligent garbage can is located, and generates a dynamic priority score of each garbage can; when the dynamic priority score of any dustbin exceeds a preset response threshold value, the edge gateway triggers an event reporting mechanism and sends a clearance alarm containing position and priority information to a regional dispatching center; and on the basis of receiving the clearance alarm, the regional dispatching center combines weather forecast, festival calendar and regional people flow density data to carry out trend prediction on the garbage cans which are not alarmed yet and have high filling risks.

The invention discloses an intelligent garbage classification and recovery method which comprises the following steps: in the process that a buffer hopper receives garbage, pulls a garbage bag apart, supplies the garbage to the starting end of a conveying belt and a conveying display belt conveys the garbage at the starting end to the position below a camera, the garbage is spread, and the camera shoots an actual image of the spread garbage; the central processing unit compares actual images with a teaching garbage pattern set to determine attributes, positions and sorting sequences of all garbage, paper plastic, glass ceramic and auxiliary garbage at the tail end of the conveying display belt are thrown into corresponding garbage cans through the sorting mechanical arms respectively, and main garbage is poured into a main garbage can through the tail end of the conveying display belt; and the metal garbage at the tail end of the transmission display belt is transferred to a metal recovery box through magnetic attraction. Compared with the prior art, volunteers do not need to be on duty, the garbage is thrown, dispersed and classified at any time, and an intelligent screening mode is adopted, so that various types of garbage are rapidly distributed, the operation cost of garbage classification and recycling is reduced, the garbage sorting pressure of citizens is relieved, and cyclic utilization of the household garbage is substantially achieved.

The solid waste sorting and feeding system comprises two vertical plates, a sorting box is rotationally arranged between the two vertical plates, a feeding frame is coaxially and fixedly connected to the top of the sorting box, and a first partition plate, a second partition plate and a third partition plate are sequentially arranged on the inner side of the sorting box from top to bottom; screen holes are formed in the first partition plate and the second partition plate, a first discharging frame, a second discharging frame and a third discharging frame are installed on the sorting box, a movable block is arranged on the side, away from the first discharging frame, of the feeding frame, a balancing weight is coaxially and fixedly connected to the bottom of the sorting box, and a driving mechanism is further arranged on the sorting box. The solid waste treatment device has the beneficial effects that a worker can conveniently screen solid waste, the worker can conveniently store the screened solid waste separately, so that the worker can conveniently carry out the next procedure, the screened solid waste is conveyed into the magnetization cracking device separately, and therefore the working efficiency is improved. And the solid waste is subjected to magnetization cracking treatment.

The invention provides a garbage classification intelligent management system. The garbage classification intelligent management system comprises a diversified recovery system and a garbage classification management system. The diversified recycling system comprises integrated garbage recycling equipment thrown in each garbage station; the garbage classification management system comprises a digital monitoring device and an intelligent decision-making device. And the digital monitoring equipment, the intelligent decision-making equipment and the integrated garbage recycling equipment carry out equipment interconnection and data transmission through the Internet of Things. The garbage treatment efficiency is improved, and the risk of garbage pollution is reduced.