Multi-purpose automatic sorting machine based on AI

Abstract

The AI-based multipurpose automatic sorting machine comprises a conveying belt, a sorting bin and an initial stock bin, a control panel is arranged at the outer end of the initial stock bin, an electric push rod and a movable door are arranged at the inner end of the initial stock bin, a discharging port is formed in the outer end of the movable door, and an arc-shaped discharging plate and a magnetic suction connector are arranged at the opening end of the sorting bin; the magnetic attraction interface is connected with the arc-shaped discharging plate and the sorting bin, the induction module is used for inducting the material state of the sorting bin and the weight of materials in an initial material bin in real time, the AI processing module is used for analyzing and processing data collected by the induction module and predicting the screening time, and the prompting module is used for prompting the sorting bin to be separated from the sorting bin. The prompt module is used for monitoring whether the sorting bin is full or not, a category recognition chip is arranged in the initial stock bin, various material category details are pre-stored in the category recognition chip, and the category recognition chip is in signal connection with the control panel. According to the sorting machine, the problem that due to the design of the sorting machine, various types of materials cannot be automatically sorted is solved.

Description

TECHNICAL FIELD

[0001] The utility model relates to the technical field of sorting machine, specifically, it relates to the multipurpose automation sorting machine based on AI. BACKGROUND

[0002] In the prior art, during the use of the sorting machine, the traditional material sorting machine has many deficiencies in actual use. For example, the state of the sorting bin cannot be perceived in real time, which can easily lead to the situation of full bin without timely processing, resulting in interruption of screening work and even damage to the equipment; the sorting of different categories of materials lacks intelligent setting, and the operation is complicated; moreover, it is difficult to accurately estimate the sorting time according to the material quantity, which affects the production efficiency and plan arrangement; therefore, we improve it and propose the multipurpose automation sorting machine based on AI. UTILITY MODEL CONTENT

[0003] The utility model aims at: the design of the present sorting machine cannot automatically sort multiple material categories.

[0004] In order to realize the above-mentioned utility model purposes, the utility model provides the following technical scheme:

[0005] The multipurpose automation sorting machine based on AI is used to improve the above-mentioned problems.

[0006] The application is specifically as follows:

[0007] The multipurpose automation sorting machine based on AI comprises a conveying belt, a sorting bin and an initial material bin, the outer end of the initial material bin is provided with a control panel, the inner end of the initial material bin is provided with an electric push rod and a movable door, the outer end of the movable door is provided with a discharge port, the open end of the sorting bin is provided with an arc-shaped discharging plate and a magnetic attraction interface.

[0008] As a preferred technical scheme of the application, the electric push rod is movably connected with the movable door, the movable door slides up and down along the discharge port, the arc-shaped discharging plates are distributed at equal intervals on the conveying belt, and the magnetic attraction interface connects the arc-shaped discharging plate and the sorting bin.

[0009] As a preferred technical scheme of the application, the application further comprises an AI processing module and a sensing module, the sensing module is used for sensing the material state of the sorting bin and the weight of the material in the initial material bin in real time, and the AI processing module is used for analyzing and processing the data collected by the sensing module to predict the screening time.

[0010] As a preferred technical scheme of the application, the application further comprises a prompt module, the prompt module is used for monitoring whether the sorting bin is full.

[0011] As a preferred technical scheme of the application, the initial material bin is provided with a category identification chip, various material categories are pre-stored in the category identification chip, and the category identification chip is signal-connected with the control panel.

[0012] As the preferred technical scheme of the present application, the induction module is provided with an ultrasonic sensor in the sorting bin, and the induction module is provided with a pressure sensor at the bottom of the initial material bin, the ultrasonic sensor and the pressure sensor are respectively used for detecting the material height of the sorting bin and the material weight of the initial material bin, and transmitting data to the control panel and the AI processing module in real time.

[0013] As the preferred technical scheme of the present application, the prompt module comprises an audible and visual alarm, when the control module receives the full bin signal of the sorting bin, the audible and visual alarm is triggered and prompt information is displayed on the control panel.

[0014] As the preferred technical scheme of the present application, the electric push rod is controlled by the control panel to control the opening and closing size according to the set material category.

[0015] Compared with the prior art, the present application has the following beneficial effects:

[0016] In the scheme of the present application:

[0017] The size of the discharge port can be automatically determined according to the sorted category, and the time of each sorting can be calculated according to multiple linked modules, and when the sorting bin is full, timely prompting is realized, and multi-purpose automation of sorting is realized. BRIEF DESCRIPTION OF DRAWINGS

[0018] Fig. 1 The present application provides the overall structure schematic diagram of the multi-purpose automatic sorting machine based on AI;

[0019] Fig. 2 The present application provides the sorting bin side sectional structure diagram of the multi-purpose automatic sorting machine based on AI;

[0020] Fig. 3 The present application provides the initial material bin side sectional structure schematic diagram of the multi-purpose automatic sorting machine based on AI.

[0021] Indicated in the figure:

[0022] 1, conveying belt; 2, initial material bin; 3, discharge port; 4, electric push rod; 5, movable door; 6, control panel; 7, sorting bin; 8, arc-shaped discharging plate; 9, magnetic interface. DETAILED DESCRIPTION

[0023] In order to make the purpose, technical scheme and advantages of the embodiments of the present application more clear, the technical scheme in the embodiments of the present application will be described clearly and completely in combination with the drawings. Obviously, the described embodiments are part of the embodiments of the present application, not all the embodiments.

[0024] Therefore, the following detailed description of embodiments of the present application is not intended to limit the scope of the present application as claimed, but merely represents some embodiments of the present application. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative labor are within the scope of protection of the present application. It should be noted that the embodiments in the present application and the features and technical solutions in the embodiments can be combined with each other without conflict.

[0025] It should be noted that similar reference numbers and letters represent similar items in the following drawings, so once an item is defined in one drawing, it does not need to be further defined and explained in subsequent drawings.

[0026] As shown in Figs. 1-3 The present embodiment proposes an AI-based multi-purpose automatic sorting machine, which comprises a conveying belt 1, a sorting bin 7 and an initial bin 2. The outer end of the initial bin 2 is provided with a control panel 6, the inner end of the initial bin 2 is provided with an electric push rod 4 and a movable door 5, the outer end of the movable door 5 is provided with a discharge port 3, and the open end of the sorting bin 7 is provided with an arc-shaped discharging plate 8 and a magnetic interface 9.

[0027] The electric push rod 4 is movably connected with the movable door 5, the movable door 5 slides up and down along the discharge port 3, the arc-shaped discharging plates 8 are distributed at equal intervals on the conveying belt 1, and the magnetic interface 9 connects the arc-shaped discharging plates 8 and the sorting bin 7.

[0028] It also comprises an AI processing module and a sensing module. The sensing module is used to sense the material state of the sorting bin 7 and the weight of the material in the initial bin 2 in real time, and the AI processing module is used to analyze and process the data collected by the sensing module to predict the screening time.

[0029] It also comprises a prompting module, which is used to monitor whether the sorting bin 7 is full.

[0030] The initial bin 2 is provided with a category identification chip, which pre-stores various material category details. The category identification chip is signal-connected with the control panel 6.

[0031] The sensing module is provided with an ultrasonic sensor in the sorting bin 7, and a pressure sensor is installed at the bottom of the initial bin 2. The ultrasonic sensor and the pressure sensor are respectively used to detect the material height of the sorting bin 7 and the material weight of the initial bin 2, and transmit the data to the control panel 6 and the AI processing module in real time.

[0032] The pressure sensor works based on piezoelectric effect or piezoresistive effect. Taking a common piezoresistive pressure sensor as an example, it has a strain gauge made of semiconductor material inside. When subjected to external force, the resistance value of the strain gauge will change, and this change is proportional to the pressure.

[0033] The pressure sensor is installed at the bottom of the initial hopper 2 at a key position supporting the initial hopper 2 and the weight of the material inside, when the material is introduced into the initial hopper 2, the gravity of the material is transmitted to the pressure sensor below through the hopper body structure of the initial hopper 2, the pressure borne by the pressure sensor is equal to the sum of the weight of the initial hopper 2 itself and the weight of the material inside, since the weight of the initial hopper 2 itself is relatively fixed, the change of the pressure felt by the pressure sensor mainly reflects the change of the weight of the material.

[0034] The pressure sensor converts the pressure signal it feels into an electrical signal, for a piezoresistive pressure sensor, the change of the resistance value will cause the change of the current or voltage in the circuit, through specific circuit design, the tiny electrical signal is amplified and conditioned to become a standard signal suitable for transmission and processing, such as 0-5V voltage signal or 4-20mA current signal. Then, these converted and conditioned electrical signals are transmitted to the control panel 6 and the AI processing module through signal lines. In the transmission process, in order to ensure the accuracy and stability of the signal, shielding wire and other measures are usually used to reduce external interference.

[0035] The prompt module includes a sound and light alarm, when the control module receives the full hopper signal of the sorting hopper 7, the sound and light alarm is triggered and the prompt information is displayed on the control panel 6.

[0036] The electric push rod 4 is controlled by the control panel 6 to control the opening and closing size according to the set material category.

[0037] When the present application is in use:

[0038] (1) Power on preparation stage

[0039] ① Initialization setting: after turning on the power, each electronic element such as the control panel 6 and the AI processing module performs self-checking and initialization. The control panel 6 will perform communication test on each device and module connected to ensure that the system is in normal working condition;

[0040] ② Category setting: the operator selects the material category to be screened this time through the control panel 6 and operation buttons equipped on the initial hopper 2, the category identification chip inside the initial hopper 2 identifies and records the category information, and then transmits it to the control panel 6, so that the control panel 6 is clear about the material type of the screening task this time;

[0041] (2) Material introduction stage

[0042] ① Information transmission and instruction issuance: after the control panel 6 receives the material category information, it sends control instructions to the material introduction device according to the preset corresponding relationship;

[0043] ②Material conveying: The material starts to flow to the initial hopper 2. According to the characteristics of the material of this category, the material is uniformly introduced into the initial hopper 2, ensuring uniform distribution of the material and avoiding local accumulation affecting the subsequent screening effect (in order to avoid local accumulation, a vibration screen or other components can be added in the initial hopper 2 to ensure stable screening and uniform distribution of the material);

[0044] ③Weight sensing and data transmission: The pressure sensor installed at the bottom of the initial hopper 2 senses the weight of the material in real time and converts the weight data into an electrical signal, which is transmitted to the control panel 6 and the AI processing module in real time;

[0045] (3) Screening operation stage

[0046] ①Parameter adjustment: The control panel 6 calls the pre-set parameters according to the received material category information, and the visual detection component on the conveying belt 1 synchronously transmits standard data (the visual detection component is a technology known to those skilled in the art, as long as it can complete visual detection comparison, which is not limited here);

[0047] ②Screening: After the material enters the conveying belt 1 from the initial hopper 2, under the monitoring of the visual detection component, the material that meets the screening standard is pushed into the corresponding screening bin by the corresponding push rod when passing through the corresponding screening bin; the material that does not meet the standard is left in the conveying belt 1 for further screening or is collected and processed separately;

[0048] ③Screening time estimation: After receiving the material category information from the control panel 6 and the material weight information from the pressure sensor, the AI processing module uses a deep learning model trained with a large amount of historical screening data to analyze and calculate, predicts the time required to complete the screening task, and feeds back the estimated time to the control panel 6, which is displayed on the control panel 6 for reference by the operator;

[0049] (4) Full bin monitoring and processing stage

[0050] ①Full bin sensing: During the screening process, the ultrasonic sensor installed in the sorting bin 7 continuously works, detects the distance between the material surface and the sensor by emitting and receiving ultrasonic signals, and judges the material height. When the material height reaches the pre-set full bin height, the ultrasonic sensor sends the full bin signal to the control panel 6;

[0051] ②Prompt and response: After receiving the full bin signal, the control panel 6 triggers the prompt module immediately, and the audible and visual alarm in the prompt module starts to work, emitting sound and light signals, and at the same time, the control panel 6 displays the prompt information "sorting bin 7 is full, please replace sorting bin 7" on the screen, reminding the operator to handle it in time;

[0052] (5) Screening end stage

[0053] ①Work stop: when all materials are completed screening, or the operator manually issues a stop command according to the production arrangement, the control panel 6 sends a stop work instruction to each execution component such as the sorting bin 7;

[0054] ②Data recording and analysis: the control panel 6 and the AI processing module will record relevant data of this screening operation, such as the screening material category, weight, screening time, equipment operating parameters, etc. These data can be used for subsequent production statistics and quality traceability on the one hand, and as new data samples to further optimize the deep learning model in the AI processing module, and improve the accuracy of the sorting machine in screening time estimation and overall performance.

[0055] The above embodiments are only used to illustrate the technical solutions described in the present application and are not limited to the technical solutions described in the present application. Although the present application has been described in detail with reference to the above embodiments, the present application is not limited to the above specific embodiments, and any modification or equivalent replacement of the present application; all technical solutions and improvements that do not deviate from the spirit and scope of the present application are included in the scope of the claims of the present application.

Claims

1. An AI based multipurpose automated sorter comprising a conveyor belt (1), a sorting bin (7) and an initial bin (2), characterized in that, The outer end of the initial hopper (2) is provided with a control panel (6), the inner end of the initial hopper (2) is provided with an electric push rod (4) and a movable door (5), the outer end of the movable door (5) is provided with a discharge port (3), the open end of the sorting bin (7) is provided with an arc-shaped discharging plate (8) and a magnetic interface (9).

2. The AI-based multipurpose automated sorter of claim 1, wherein, The electric push rod (4) is movably connected with the movable door (5), the movable door (5) slides up and down along the discharge port (3), the arc-shaped discharging plates (8) are equidistantly distributed on the conveying belt (1), and the magnetic interface (9) is connected with the arc-shaped discharging plates (8) and the sorting bin (7).

3. The AI-based multipurpose automated sorter of claim 2, wherein, Further comprising an AI processing module and a sensing module, the sensing module is used for sensing the material state of the sorting bin (7) and the weight of the material in the initial hopper (2) in real time, and the AI processing module is used for analyzing and processing the data collected by the sensing module to predict the screening time.

4. The AI-based multipurpose automated sorter of claim 3, wherein, Further comprising a prompting module, the prompting module is used for monitoring whether the sorting bin (7) is full.

5. The AI-based multipurpose automated sorter of claim 4, wherein, The initial hopper (2) is provided with a category identification chip, the category identification chip pre-stores material category details, and the category identification chip is signal-connected with the control panel (6).

6. The AI-based multipurpose automated sorter of claim 5, wherein, The sensing module is provided with an ultrasonic sensor in the sorting bin (7), and is provided with a pressure sensor at the bottom of the initial hopper (2), the ultrasonic sensor and the pressure sensor are respectively used for detecting the material height of the sorting bin (7) and the material weight of the initial hopper (2), and the data of the ultrasonic sensor and the pressure sensor is transmitted to the control panel (6) and the AI processing module in real time.

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