CN219584995U - Intelligent garbage throwing management integrated device - Google Patents

Abstract

The utility model belongs to the technical field of garbage management equipment, and discloses an intelligent garbage throwing management integrated device, wherein an AMBA circuit board is arranged on a PL circuit board, and a PS circuit board is arranged on the AMBA circuit board; the PS circuit board is connected with the ARDUINO UNO REV3 development board through a UART interface, the ARDUINO UNO REV3 development board is connected with the garbage bin sensor, and the garbage bin sensor is connected with the mobile phone terminal. The utility model can solve the problems of intelligent classification and automatic garbage throwing at one time; the garbage can also has a Wi-Fi remote control function, and can realize real-time data transmission in the garbage can through connection of the sensor in the garbage can and the mobile phone APP so as to help an administrator to manage the garbage can in time. In addition, the problem of continuous voyage of the garbage can is solved; the utility model provides an effective, energy-saving and low-cost energy source for the platform by using the solar panel.

Description

Intelligent garbage throwing management integrated device

Technical Field

The utility model belongs to the technical field of garbage management equipment, and particularly relates to an intelligent garbage throwing management integrated device.

Background

Classified recycling of garbage is a current urgent problem, and intelligent garbage classification products are also generated by application. The intelligent garbage classification refers to the steps of connecting garbage throwing, a solar panel, a sensor, remote control, early warning, security protection and the like into a network, and then realizing unified management by utilizing Wi-Fi so as to acquire data and control equipment, thereby bringing a convenient and comfortable living environment for users.

Therefore, the development of an intelligent garbage classification product which is low in cost, complete in function and capable of stably running for a long time is particularly necessary.

In the class of the relatively known intelligent garbage classification products at home and abroad, most of the utilized technical emphasis is on classifying the existing garbage samples, the final garbage throwing step is finished by manpower, the labor cost is not obviously reduced, and the application and popularization of the intelligent garbage throwing management integrated device are hindered. Although the individual patent technology considers the requirement of autonomous garbage throwing, an obvious short board exists in the aspects of remote control, energy source cruising and the like.

Through the above analysis, the problems and defects existing in the prior art are as follows: the final garbage throwing step in the prior art is still completed by manpower, the labor cost is not obviously reduced, and the application and popularization of the intelligent garbage throwing management integrated device are hindered. Although the individual patent technology considers the requirement of autonomous garbage throwing, an obvious short board exists in the aspects of remote control, energy source cruising and the like.

The difficulty of solving the problems and the defects is as follows: how to accurately, quickly and intelligently identify different kinds of garbage; how to automatically put in according to the signal of the intelligent recognition module; how to increase the intelligent interconnection of the administrator and the device; how to use solar energy to ensure long-time endurance of the equipment.

The meaning of solving the problems and the defects is as follows: the functions of garbage throwing, solar panels, sensors, remote control and the like are integrated, unified management is achieved by utilizing Wi-Fi, data acquisition and equipment control are achieved, the garbage classification throwing by a user is facilitated, garbage collection by a cleaner is facilitated, and garbage classification management is enabled to be more convenient.

Disclosure of Invention

In order to solve the problems in the prior art, the utility model provides an intelligent garbage throwing management integrated device.

The intelligent garbage throwing management integrated device is provided with a PL circuit board;

an AMBA circuit board is arranged on the PL circuit board, and a PS circuit board is arranged on the AMBA circuit board;

the PS circuit board is connected with the ARDUINO UNO REV3 development board through a UART interface, the ARDUINO UNO REV3 development board is connected with the garbage bin sensor, and the garbage bin sensor is connected with the mobile phone terminal.

Further, a USB interface, a UART interface and an ARM DUALCOR tex-A9 circuit board are arranged on the PS circuit board.

Further, the USB interface is connected with the camera.

Further, the ARDUINO UNO REV3 development board is connected with a first L298N stepper motor driving board and a second L298N stepper motor driving board, respectively, the first L298N stepper motor driving board is connected with the first stepper motor, and the second L298N stepper motor driving board is connected with the second stepper motor.

Further, the PL circuit board, the AMBA circuit board, the PS circuit board, the ARDUINO UNO REV development board and the garbage can sensor are respectively connected with a storage battery, and the storage battery is connected with the solar cell panel.

Further, the storage battery is respectively connected with the camera, the first L298N stepping motor driving board, the second L298N stepping motor driving board, the first stepping motor, the second stepping motor and the ARM DUALCOR tex-A9 circuit board.

By combining all the technical schemes, the utility model has the advantages and positive effects that: the utility model can solve the problems of intelligent garbage classification and automatic garbage throwing at one time. In addition, the garbage can also has a Wi-Fi remote control function, and can realize real-time data transmission in the garbage can through connection of the sensor in the garbage can and the mobile phone APP so as to help an administrator to manage the garbage can in time. In addition, the problem of continuous voyage of the garbage can is solved; the utility model provides an effective, energy-saving and low-cost energy source for the platform by using the solar panel. The garbage collection device integrates four functions of intelligent garbage classification, autonomous garbage throwing, remote control, solar energy endurance and the like, and the whole process from garbage classification to recycling treatment is penetrated; meanwhile, the platform is low in price and stable in operation. Therefore, the method has certain popularization and use values.

Drawings

In order to more clearly illustrate the technical solutions of the embodiments of the present utility model, the drawings that are needed in the embodiments of the present utility model will be briefly described below, and it is obvious that the drawings described below are only some embodiments of the present utility model, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.

Fig. 1 is a schematic structural diagram of an integrated device for intelligent garbage delivery management provided by an embodiment of the utility model;

FIG. 2 is a schematic diagram of an overall frame of a pipe-casting integrated platform according to an embodiment of the present utility model;

FIG. 3 is a schematic diagram of an automatic delivery module according to an embodiment of the present utility model;

fig. 4 is a schematic diagram of a system composition structure of an intelligent interconnection module according to an embodiment of the present utility model;

FIG. 5 is a block diagram of a convolutional neural network provided by an embodiment of the present utility model;

FIG. 6 is a schematic diagram of a condition monitoring and actuator design provided by an embodiment of the present utility model;

FIG. 7 is a schematic diagram of a maximum light intensity capturing device according to an embodiment of the present utility model;

FIG. 8 is a circuit diagram of a maximum light intensity capturing device according to an embodiment of the present utility model;

in the figure: 1. a camera; 2. a PS circuit board; 3. a USB interface; 4. UART interfaces; 5. AMBA circuit board; 6. a PL circuit board; 7. ARDUINO UNO REV3 development board; 8. a trash can sensor; 9. a mobile phone terminal; 10. a first L298N stepper motor drive plate; 11. a second L298N stepper motor drive plate; 12. a first stepping motor; 13. a second stepping motor; 14. ARM DUALCOR tex-A9 circuit board.

Detailed Description

The present utility model will be described in further detail with reference to the following examples in order to make the objects, technical solutions and advantages of the present utility model more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the utility model.

Aiming at the problems existing in the prior art, the utility model provides an intelligent garbage throwing management integrated device, and the utility model is described in detail below with reference to the accompanying drawings.

As shown in fig. 1, the integrated device for intelligent garbage throwing management provided by the embodiment of the utility model is provided with an AMBA circuit board 5 arranged on a PL circuit board 6, a PS circuit board 2 arranged on the AMBA circuit board 5, and a USB interface 3, a UART interface 4 and an ARM DUALCor tex-A9 circuit board 14 arranged on the PS circuit board 2.

The USB interface 3 is connected with the camera 1, the UART interface 4 is connected with the ARDUINO UNO REV3 development board 7, the ARDUINO UNO REV3 development board 7 is connected with the garbage can sensor 8, and the garbage can sensor 8 is connected with the mobile phone terminal 9.

The ARDUINO UNO REV3 development board 7 is connected with a first L298N stepper motor drive board 10 and a second L298N stepper motor drive board 11, respectively, the first L298N stepper motor drive board 10 is connected with the first stepper motor 12, and the second L298N stepper motor drive board 11 is connected with the second stepper motor 13.

The camera 1, the PS circuit board 2, the AMBA circuit board 5, the PL circuit board 6, the ARDUINO UNO REV3 development board 7, the garbage can sensor 8, the first L298N stepping motor driving board 10, the second L298N stepping motor driving board 11, the first stepping motor 12, the second stepping motor 13 and the ARM DUALCOR tex-A9 circuit board 14 are connected with a storage battery through wires, and the storage battery is connected with a solar panel.

The garbage bin sensor 8 comprises a gas sensor, an infrared temperature sensor, a distance sensor and a smoke alarm. The camera is an rmonam S907 USB camera supporting UVC protocol. Lens focal length: 6mm; output resolution: 640 x 480; a pixel: 130 ten thousand. The ARDUINO UNO REV3 development board realizes the control of the camera, the garbage can sensor (including sensors such as temperature, humidity, quality, fire, residual electric quantity detection of a storage battery and the like) and the motor driving board.

The technical scheme of the present utility model will be described in detail with reference to specific embodiments.

1 System protocol analysis

Fig. 2 is a general schematic diagram of the overall frame of the intelligent multi-bucket pipe-casting integrated platform. The platform needs to have the functions of object identification, automatic throwing, information sensing, mobile phone APP management and detection, solar power supply, alarm and the like. According to the function of the platform, the system is divided into three sub-modules, namely an intelligent identification module, an automatic delivery module and an intelligent interconnection module. The intelligent recognition module mainly comprises an image acquisition function and an image classification function; the automatic throwing module has the main functions of receiving the signals of the intelligent identification module and controlling the steering engine to throw garbage; the intelligent interconnection module is responsible for monitoring each dustbin and performing man-machine interaction with an administrator. The technical means of the three modules are described in detail below.

1.1 image acquisition and Intelligent identification module

The function that this module needs to accomplish is object recognition and output of recognition results. The system is designed based on a PYNQ development system board and mainly comprises an image signal acquisition module and a central image processing module, wherein the image signal acquisition module is a camera, acquires a real environment and transmits the acquired real environment into the central image processing module in a picture form, the central image processing module classifies garbage placed on a platform, and finally transmits the result into a singlechip.

1.2 steering engine automatic throwing module

The automatic throwing module receives the garbage type identification result of the upper neural network through the communication interface, converts the garbage type identification result into a driving control signal after being processed by the local singlechip, drives the stepping motor and the large-torque steering engine according to a certain time sequence to complete the garbage moving and dumping actions, returns to the garbage collecting position after the actions are completed, and waits for garbage processing signals. Meanwhile, the garbage can also has the functions of information acquisition and state monitoring, and the internal information of the garbage can is acquired and sent to an upper monitoring network through a sensor, and the structural composition is shown in figure 3.

1.3 Intelligent interconnect Module

The intelligent interconnection module is formed by an intelligent garbage throwing management integrated device, a cloud server, a manager and a mobile phone APP. Each intelligent garbage throwing management integrated device is provided with a SIM card, the SIM can upload state information and position information of the SIM to a cloud server through a network, a mobile phone client can receive information of each garbage can from the cloud server and display the position and state information (such as temperature, garbage amount and the like) of all the garbage cans on a map, and the mobile phone client can carry out garbage can cleaning path planning according to the position and state information of the garbage can and the position and personnel condition of a cleaning site, so that workers can clean the garbage can faster and more efficiently. The principle of operation of the system is shown in figure 4.

The above is an introduction to the overall framework design of the intelligent multi-bucket integrated platform, and the following description will respectively refer to the hardware system design and the software system design of the platform,

2 hardware System design

The hardware system is mainly shown in fig. 1, the design of the hardware system part is mainly carried out on a PYNQ development board system and an ARDUINO UNO REV3 system, and the designed hardware system is shown in fig. 1 according to the functional requirements. The hardware system comprises a PYNQ image acquisition and identification module, an automatic control module, a steering engine, a driving device, a sensor, a mobile phone and the like.

2.1 identification Module

The acquisition and identification module adopts a PYNQ development board, so that embedded programmers can fully play the function of Xilinx Zynq All Programmable SoC (APSoC) without designing a programmable logic circuit. The user can program using Python and the code can be developed and tested directly on PYNQ.

The design of automatic identification mainly comprises deep learning, establishment of a classification sample library, automatic identification and throwing. The garbage classification of the system classifies and identifies garbage based on the deep learning technology according to the picture information acquired by the camera. For this purpose, the patent establishes a large sample library containing 7 kinds of garbage, a total of about 5000 garbage samples, which are mainly divided into four major categories, non-recyclable products, hazardous materials, paper products, plastics/metal products.

As shown in FIG. 5, the convolutional neural network for garbage identification has the input image size of 32×32×3 color images, the convolutional layer combination (3×3 convolution, pooling layer) is repeated 3 times, and finally, two full link layers containing 512 neurons are added, and a 7-classification result is output. Wherein the convolution kernel sizes of the convolution layers are all 3 x 3, and the pooling layer size is 2 x 2. After the convolutional neural network training is completed, the network weights are binarized. Meanwhile, an FPGA hardware structure is designed by utilizing an Xilinx HLS tool, a bit stream file is generated after steps of compiling, synthesizing and the like, the FPGA structure is configured, and finally, the binarization weight is uploaded into an on-chip storage of a PYNQ development board.

2.2 image information acquisition module

The PYNQ adopts a Ubuntu operating system, and the image acquisition module adopts an rmonam S907 USB camera supporting a UVC protocol as image acquisition equipment. Lens focal length: 6mm; output resolution: 640 x 480; a pixel: 130 ten thousand.

2.3 steering engine automatic control module

Steering engine automatic control S9810 super large torque steering engine (including driving), L298n double h bridge structure step motor driving board, 42BYGH step motor, arduino UNO R3 control board, multiple monitoring sensors (temperature, humidity, quality, fire disaster, storage battery residual electric quantity detection and other sensors). The power supply voltage is 12V, the maximum power is not more than 40W, the standby power is less than 1W, and the duration is more than one week. The system has the functions of local monitoring data uploading, executing mechanism control and standby working mode switching. The condition monitoring and actuator design is shown in fig. 6.

2.4 Power supply Module

In the system design, aiming at the dispersion problem of solar energy, the automatic tracking device for the maximum saturation of sunlight based on the photosensitive sensor is designed, and the solar panel can be guaranteed to absorb the solar energy to the greatest extent. The capture device structure is shown in fig. 7 and the circuit design is shown in fig. 8.

In addition, the system also solves the problem of unstable power supply of the solar panel by utilizing the special voltage stabilizing and regulating device for the solar power supply, and a rechargeable lithium battery is added on a peripheral circuit of the solar panel, so that when the solar panel works, a part of resources can enter the lithium battery, and even if a series of environments which influence the solar panel to receive illumination, such as low sunlight illumination, low air visibility and the like, are encountered, the whole garbage disposal system still has the lithium battery as a power source.

The working principle of the utility model is as follows: firstly, deep learning is introduced to establish a 5000-sheet garbage classification training set containing 7-type garbage, a binarization neural network for garbage classification is trained on a CPU+GPU platform, the network is deployed on a fully programmable system-on-chip PYNQ-Z1 based on Xilinx Zynq7020, the trained convolution neural network is utilized to classify the thrown garbage into one of non-recyclable products, plastic products, metal products, paper products and harmful products, and accordingly, an instruction is sent to a singlechip to control a garbage conveying device to finish garbage automatic throwing along orbital motion; secondly, comprehensively processing physical information such as the temperature, the humidity, the smoke concentration, the smell concentration and the garbage amount of the monitored garbage can by combining the technology of the Internet of things, judging whether the garbage can is in a state of full can, peculiar smell, fire and the like, sending the information to a client, developing an APP for intelligent garbage classification management, and enabling a manager to log in the APP so as to know the geographic information and the state information of all the garbage cans in a slice area in time; finally, the whole system is powered by a solar panel, and the sunlight maximum saturation automatic tracking device based on the photosensitive sensor can be used for ensuring that the local sunlight irradiation maximum value can be received at any time, and meanwhile, the system function is realized by selecting a low-power-consumption industrial personal computer and a development board.

In the description of the present utility model, unless otherwise indicated, the meaning of "a plurality" is two or more; the terms "upper," "lower," "left," "right," "inner," "outer," "front," "rear," "head," "tail," and the like are used as an orientation or positional relationship based on that shown in the drawings, merely to facilitate description of the utility model and to simplify the description, and do not indicate or imply that the devices or elements referred to must have a particular orientation, be constructed and operated in a particular orientation, and therefore should not be construed as limiting the utility model. Furthermore, the terms "first," "second," "third," and the like are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.

The foregoing is merely illustrative of specific embodiments of the present utility model, and the scope of the utility model is not limited thereto, but any modifications, equivalents, improvements and alternatives falling within the spirit and principles of the present utility model will be apparent to those skilled in the art within the scope of the present utility model.

Claims (1)

1. An intelligent garbage throwing management integrated device is characterized in that the intelligent garbage throwing management integrated device is provided with:

a PL circuit board;

an AMBA circuit board is arranged on the PL circuit board, and a PS circuit board is arranged on the AMBA circuit board;

the PS circuit board is connected with the ARDUINO UNO REV3 development board through a UART interface, the ARDUINO UNO REV3 development board is connected with the garbage bin sensor, and the garbage bin sensor is connected with the mobile phone terminal; the PS circuit board is provided with a USB interface, a UART interface and an ARM DUALCOR tex-A9 circuit board; the USB interface is connected with the camera; the ARDUINO UNO REV3 development board is respectively connected with a first L298N stepping motor driving board and a second L298N stepping motor driving board, the first L298N stepping motor driving board is connected with the first stepping motor, and the second L298N stepping motor driving board is connected with the second stepping motor; the PL circuit board, the AMBA circuit board, the PS circuit board, the ARDUINO UNO REV development board and the garbage can sensor are respectively connected with a storage battery, and the storage battery is connected with the solar panel; the storage battery is respectively connected with the camera, the first L298N stepping motor driving board, the second L298N stepping motor driving board, the first stepping motor, the second stepping motor and the ARM DUALCOR tex-A9 circuit board.