Renewable resource recovery system based on unmanned driving

Through the unmanned driving-based renewable resource recycling system, using autonomous driving and intelligent item identification technology, the problems of low efficiency and high cost of traditional recycling methods are solved, and efficient, convenient and safe resource recycling is achieved.

CN119444194APending Publication Date: 2025-02-14CHENGDU TONGGUANG NETLINK TECH CO LTD
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Patent Information

Application Number
CN202411349486.X
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-09-26
Publication Date
2025-02-14

AI Technical Summary

Technical Problem

The traditional recycling methods of recycling are inefficient and costly, and cannot meet the market's demand for efficient, convenient and safe recycling services.

Method used

Adopt a recycled resource recycling system based on unmanned driving, including vehicle management module, user management module, recycled item management module and manual detection module. Through autonomous driving and intelligent item recognition technologies of unmanned recycling vehicles, efficient and automated resources are achieved. Recycle.

Benefits of technology

It reduces the time and labor costs of manual driving, improves resource recycling efficiency, simplifies the operation process, and improves the speed and efficiency of the entire recycling process.

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Abstract

The invention relates to a renewable resource recovery system based on unmanned driving, and belongs to the technical field of automatic driving. Comprising a vehicle management module, a user management module, a recycled article management module and a manual detection module. The vehicle management module is responsible for completing configuration and scheduling of unmanned recycling vehicles according to the number of residents and the article recycling amount in each region; the user management module identifies the user information and obtains a recycled article list of a user; the recycled article management module is used for acquiring a recycled article list of a user and identifying, storing and weighing recycled articles; and the manual detection module is used for checking article recovery records of the vehicle and manually checking abnormal conditions. According to the invention, the speed of the whole recovery process is accelerated, the manual driving time and labor cost are reduced, and the overall recovery efficiency is improved.
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Description

Technical Field

[0001] The present invention relates to the technical field of autonomous driving, and in particular to a renewable resource recovery system based on unmanned driving. Background Art

[0002] Unmanned driving technology is a cutting-edge automated driving technology that enables vehicles to drive autonomously, safely and efficiently without direct human control through perception, recognition, analysis, decision-making and control. In general, unmanned driving technology has great potential and broad application prospects. With the continuous advancement of technology and the support and guidance of policies, unmanned driving technology will play a more important role in the future and bring more benefits to human society.

[0003] Traditional recycling methods are inefficient, costly, and limited in coverage, and cannot meet the market's demand for efficient, convenient, and safe recycling services. With the increasing maturity of autonomous driving technology, how to improve the intelligent and unmanned operation of recycling has become an urgent problem to be solved in today's society. Summary of the invention

[0004] In order to solve the above-mentioned problems in the prior art, reduce the time and labor cost of manual driving, and improve resource recovery efficiency, the present invention provides a renewable resource recovery system based on unmanned driving.

[0005] The unmanned renewable resource recycling system includes a vehicle management module, a user management module, a recycling item management module and a manual inspection module;

[0006] The vehicle management module is responsible for configuring and dispatching unmanned recycling vehicles according to the number of residents and the amount of items recycled in each area;

[0007] The user management module identifies the user information and obtains the user's recycling item list;

[0008] The recycling item management module obtains the recycling item list of the user, and identifies, stores and weighs the recycling items;

[0009] The manual inspection module is used to check the vehicle's item recovery records and to manually review any abnormal situations.

[0010] Furthermore, the vehicle management module includes a data collection unit and a vehicle dispatching unit; the data collection unit is responsible for collecting the number of residents and the amount of recycled items in each area; the vehicle dispatching unit uses the recycling warehouse configured in the area as the dispatching center, configures the unmanned recycling vehicle, and dispatches the unmanned recycling vehicle according to the item list.

[0011] Furthermore, the unmanned recycling vehicle uses laser radar, millimeter wave radar, perception camera, computing unit and high-precision positioning unit to enable the unmanned recycling vehicle to perceive road markings, pedestrians, vehicles and other traffic elements in real time, thereby realizing automatic driving of the unmanned recycling vehicle.

[0012] Furthermore, the user management module includes a user registration unit, a user identification unit, and a user recycling item list management unit; the user registration unit is responsible for user registration and authentication of relevant identity information; the user identification unit identifies the user's identity based on the user's relevant identity information; the user recycling item list management unit is used for the user to upload the type and weight data of the recycling items to be put in, and initiate a recycling item request.

[0013] Furthermore, the recovered item management module includes an item identification unit, an item recovery control unit, a weighing unit and an abnormal item marking unit; the item identification unit is used to identify the recovered items; the item recovery control unit is used to complete the sorting of items in the delivery box; the weighing unit obtains the identification result of the item identification unit, preliminarily calculates the weight of the item based on the identification result, and weighs the weight of the item through a weighing device; the abnormal item marking unit compares the weight of the item calculated by the identification result of the weighing unit with the weight of the weighed item. When the weight difference is greater than the set threshold, the recovery record is marked as abnormal and uploaded to the manual inspection module.

[0014] Further, the object identification unit includes a first identification unit and a second identification unit;

[0015] The first identification unit identifies the items as follows: the delivery box of the unmanned recycling vehicle is equipped with an external camera, which first performs a preliminary identification of the items that the user is about to put in. If it is identified that the items put in by the user are too large and will exceed the volume of the vehicle, or if it is identified that the items put in by the user are dangerous goods or unsupported items, the delivery compartment door will not be opened, and a voice prompt will be issued to the user;

[0016] The second identification unit's identification process for items is as follows: a built-in camera is installed in the delivery box of the unmanned recycling vehicle, and combined with the user's recycling item list, the items placed in the delivery box are secondary identified and confirmed, the type of items is obtained, and it is connected to the item recovery control unit in real time to assist the item recovery control unit in completing the sorting of items in the delivery box.

[0017] Furthermore, the weighing unit includes an image weight acquisition unit and a weighing unit; the image weight acquisition unit calculates the weight of the object image collected by the object recognition unit through a deep learning model to obtain the estimated weight of the object; the weighing unit obtains the actual weight of the object through a high-precision weight sensor.

[0018] Furthermore, the recycling item management module also includes an item value calculation unit, which calculates the price of the item according to the item type obtained by the item identification unit and the item weight obtained by the weighing unit.

[0019] Furthermore, the relevant identity information of the user includes face information. The user identification unit confirms the user through a face recognition algorithm and retrieves the corresponding recycling item list.

[0020] Furthermore, the vehicle dispatch unit obtains relevant information of the unmanned recycling vehicle in real time, including the status of the vehicle, the weight of the transported resources and the driving route; when no user in the area issues a request to recycle items, the unmanned recycling vehicle cruises or waits according to the key areas for item recycling; upon receiving a request to recycle items initiated by a user, the unmanned recycling vehicle automatically navigates to the designated recycling point.

[0021] The beneficial effects of the present invention are as follows: the present invention can quickly confirm the identity of the recycler, reduce the time for manual identity verification, and thus speed up the entire recycling process; the unmanned recycling vehicle can autonomously navigate to the recycling point, reducing the time and labor cost of manual driving and improving the overall recycling efficiency; by intelligently allocating recycling tasks to the unmanned recycling vehicle, it is ensured that resources are reasonably and effectively utilized; the present invention can quickly identify items, quickly weigh them, and automatically classify and store them; the operation process is simple and easy to use, reducing the manual operation process. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] Figure 1 It is a block diagram of the renewable resource recovery system of the present invention. DETAILED DESCRIPTION

[0023] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0024] Example 1: Reference Figure 1 , the present invention provides a renewable resource recycling system based on unmanned driving, including a vehicle management module, a user management module, a recycling item management module and a manual detection module;

[0025] (1) Vehicle management module: responsible for configuring and dispatching unmanned recycling vehicles according to the number of residents and the amount of items recycled in each area, and completing the management of the configuration of unmanned recycling vehicles in each area and the basic construction integrated facilities of the recycling warehouse; the vehicle management module includes a data collection unit and a vehicle dispatching unit; the data collection unit is responsible for collecting the number of residents and the amount of items recycled in each area; the vehicle dispatching unit uses the recycling warehouse configured in the area as the dispatching center, configures the unmanned recycling vehicles, and dispatches the unmanned recycling vehicles according to the item list.

[0026] (2) The user management module identifies the user information and obtains the user's recycling list; the user management module includes a user registration unit, a user identification unit, and a user recycling list management unit; the user registration unit is responsible for user registration and authentication of relevant identity information (such as face information); the user identification unit identifies the user's identity based on the user's relevant identity information (taking face information as an example, the user identification unit confirms the user through a face recognition algorithm and retrieves the corresponding recycling list); the user recycling list management unit is used for the user to upload the type and weight data of the recycling items to be put in and initiate a recycling request.

[0027] (3) The recovered item management module obtains the user's recovered item list and identifies, stores and weighs the recovered items; the recovered item management module includes an item identification unit, an item recovery control unit, a weighing unit and an abnormal item marking unit; the item identification unit is used to identify the recovered items; the item recovery control unit is used to complete the sorting of items in the delivery box; the weighing unit obtains the recognition result of the item identification unit, preliminarily calculates the weight of the item based on the recognition result, and weighs the weight of the item through a weighing device; the abnormal item marking unit compares the weight of the item calculated by the recognition result of the weighing unit with the weight of the weighed item. When the weight difference is greater than the set threshold, the recovery record is marked as abnormal and uploaded to the manual inspection module.

[0028] (4) The manual inspection module is used to check the vehicle's item recovery records and conduct manual review of any abnormal situations.

[0029] In Example 1, the unmanned recycling vehicle uses laser radar, millimeter wave radar, perception camera, computing unit and high-precision positioning unit to enable the unmanned recycling vehicle to perceive road markings, pedestrians, vehicles and other traffic elements in real time. Through the high-precision positioning unit and map, the unmanned recycling vehicle can automatically drive to the designated location.

[0030] Taking user facial information as user verification, a screen is set on the outside of the unmanned recycling vehicle. The user needs to click the recycling button on the vehicle screen and confirm the relevant user information through the face recognition algorithm to open the recycling window. If the user has not registered personal information, the user needs to be prompted to register as a new user and enter the user's relevant information including the face.

[0031] In Example 1, the weighing unit includes an image weight acquisition unit and a weighing unit; the image weight acquisition unit calculates the weight of the item image collected by the item recognition unit through a deep learning model to obtain the estimated weight of the item; the weighing unit obtains the actual weight of the item through a high-precision weight sensor. If the weight exceeds a certain range, the delivery record needs to be temporarily marked as abnormal; waiting for verification by the dispatch management platform personnel.

[0032] In the first embodiment, the recycling item management module further includes an item value calculation unit, which calculates the item price according to the item type obtained by the item identification unit and the item weight obtained by the weighing unit.

[0033] In Example 1, the delivery box is equipped with an interception platform and a mechanical arm; the sorting process of the item recovery control unit is as follows: the items at the entrance of the delivery box are placed on the interception platform by the mechanical arm; a hydraulic steel plate is configured above the interception platform to compress the items, reduce the occupied volume, and enhance the vehicle's recovery capacity; after the compression is completed, the internal interception plane is retracted, and the items are neatly placed on the shelf from the inside to the outside. The internal mechanical shelves can be combined into warehouses with various space layouts by moving the internal partitions. When large items are put in, some partitions will be retracted to reduce the isolation space.

[0034] In Example 1, the recycling process of items is as follows:

[0035] 1) Obtain relevant information of the unmanned recycling vehicle in real time (including the vehicle status, weight of the transported resources, driving route, etc.); when no user in the area issues a request to recycle items, the unmanned recycling vehicle cruises or waits in the key recycling area; upon receiving a request to recycle items initiated by a user, the unmanned recycling vehicle automatically navigates to the designated recycling point.

[0036] 2) After arriving at the designated location, the unmanned recycling vehicle enters the waiting mode. A 15-minute waiting time is set here. If the customer has not arrived at the location within the specified time, the unmanned recycling vehicle will automatically navigate to the next recycling point.

[0037] 3) When the customer arrives at the location of the unmanned recycling vehicle, facial recognition is turned on to verify whether the user is himself, and the list of recycled items for the user is linked. After the association is successful, the cabinet door is opened, and the user delivers the resources. The camera installed in the upper right corner of the container classifies the resources, and the weighing device installed at the bottom calculates the weight difference before and after delivery to obtain the weight of the item. Each delivery will be charged in real time according to the weight and type of the item. When the user completes the delivery, the cabinet door is closed. The system automatically calculates the total cost, including the weight and unit price of each item delivered, and returns the data to the user management module, as well as the screen display on the outside of the vehicle. The user management module will have detailed information on each delivery (delivery time, delivery type, price, etc.). Subsequently, an account balance management unit is also set in the user management module, which is responsible for the revenue management of the recycled items this time.

[0038] After the unmanned recycling vehicle receives the goods, the above steps are repeated until the unmanned recycling vehicle is full. When it is full, the recycling task will be automatically closed and the vehicle will automatically navigate to the nearest recycling station for unloading.

[0039] In Example 1, the face recognition process is as follows: detect the face and the recycled resources carried from the image, extract features from the detected face area, map the face area into a feature vector, classify the extracted feature vectors, distinguish different faces, and then determine whether the recycled resources carried are items that meet the recycling requirements by checking the recycled resources carried.

[0040] Embodiment 2, based on embodiment 1, in order to improve the efficiency and safety of recycling items and the accuracy of item identification, the item identification unit includes a first identification unit and a second identification unit;

[0041] For the first identification unit: the delivery box of the unmanned recycling vehicle is equipped with an external camera, which first performs a preliminary identification of the items that the user is about to put in. If it is identified that the items put in by the user are too large and will exceed the volume of the vehicle, or if it is identified that the items put in by the user are dangerous goods or unsupported items, the delivery compartment door will not be opened, and a voice prompt will be issued to the user;

[0042] For the second identification unit: the delivery box of the unmanned recycling vehicle is equipped with a built-in camera (located at the top right corner inside the entrance of the delivery box) to prevent the identification results from being affected by obstructions or angles; and combined with the user's recycling item list, the items placed in the delivery box are re-identified and confirmed to obtain the type of items, and connected to the item recovery control unit in real time to assist the item recovery control unit in completing the sorting of items in the delivery box.

[0043] During the delivery process, the image and recognition result data will be uploaded and saved. After the unmanned recycling vehicle returns to the warehouse, the staff can check the delivery record of the vehicle through the manual inspection module, and then check whether the delivered items are consistent with the unrecognized items through manual calibration.

[0044] In the description of the embodiments of the present invention, it needs to be understood that the terms "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "center", "top", "bottom", "top", "bottom", "inside", "outside", "inside", "outside" and the like indicate orientations or positional relationships based on the orientations or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the present invention and simplifying the description, and do not indicate or imply that the referred device or element must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as limiting the present invention.

[0045] In the description of the embodiments of the present invention, the terms "first", "second", "third", and "fourth" are used for descriptive purposes only and are not to be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Thus, a feature defined as "first", "second", "third", and "fourth" may explicitly or implicitly include one or more of the features. In the description of the present invention, unless otherwise specified, "multiple" means two or more.

[0046] In the description of the embodiments of the present invention, it should be noted that, unless otherwise clearly specified and limited, the terms "install", "connect", "connect", and "assemble" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a direct connection, or an indirect connection through an intermediate medium, or it can be the internal communication of two components. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0047] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. The unmanned renewable resource recycling system is characterized by: It includes vehicle management module, user management module, recycling item management module and manual inspection module; The vehicle management module is responsible for configuring and dispatching unmanned recycling vehicles according to the number of residents and the amount of items recycled in each area; The user management module identifies the user information and obtains the user's recycling item list; The recycling item management module obtains the recycling item list of the user, and identifies, stores and weighs the recycling items; The manual inspection module is used to check the vehicle's item recovery records and to manually review any abnormal situations.

2. The unmanned resource recycling system according to claim 1 is characterized in that: The vehicle management module includes a data collection unit and a vehicle dispatching unit; the data collection unit is responsible for collecting the number of residents and the amount of items recycled in each area; the vehicle dispatching unit uses the recycling warehouse configured in the area as the dispatching center, configures the unmanned recycling vehicle, and dispatches the unmanned recycling vehicle according to the item list.

3. The unmanned renewable resource recycling system according to claim 1 is characterized in that: The unmanned recycling vehicle uses laser radar, millimeter wave radar, perception camera, computing unit and high-precision positioning unit to enable the unmanned recycling vehicle to perceive road markings, pedestrians, vehicles and other traffic elements in real time, thereby realizing automatic driving of the unmanned recycling vehicle.

4. The unmanned renewable resource recycling system according to claim 1 is characterized in that: The user management module includes a user registration unit, a user identification unit, and a user recycling item list management unit; the user registration unit is responsible for user registration and authentication of relevant identity information; The user identification unit identifies the user according to the relevant identity information of the user; the user recycling item list management unit is used for the user to upload the type and weight data of the recycling items to be put in, and initiate a recycling item request.

5. The unmanned renewable resource recycling system according to claim 1 is characterized in that: The recovered item management module includes an item identification unit, an item recovery control unit, a weighing unit and an abnormal item marking unit; the item identification unit is used to identify the recovered items; the item recovery control unit is used to complete the sorting of items in the delivery box; the weighing unit obtains the identification result of the item identification unit, preliminarily calculates the weight of the item according to the identification result, and weighs the weight of the item through a weighing device; the abnormal item marking unit compares the weight of the item calculated by the identification result of the weighing unit with the weight of the weighed item. When the weight difference is greater than the set threshold, the recovery record is marked as abnormal and uploaded to the manual detection module.

6. The unmanned renewable resource recycling system according to claim 5 is characterized in that: The object identification unit includes a first identification unit and a second identification unit; The first identification unit identifies the items as follows: the delivery box of the unmanned recycling vehicle is equipped with an external camera, which first performs a preliminary identification of the items that the user is about to put in. If it is identified that the items put in by the user are too large and will exceed the volume of the vehicle, or if it is identified that the items put in by the user are dangerous goods or unsupported items, the delivery compartment door will not be opened, and a voice prompt will be issued to the user; The second identification unit's identification process for items is as follows: a built-in camera is installed in the delivery box of the unmanned recycling vehicle, and combined with the user's recycling item list, the items placed in the delivery box are secondary identified and confirmed, the type of items is obtained, and it is connected to the item recovery control unit in real time to assist the item recovery control unit in completing the sorting of items in the delivery box.

7. The unmanned renewable resource recycling system according to claim 5 is characterized in that: The weighing unit includes an image weight acquisition unit and a weighing unit; the image weight acquisition unit calculates the weight of the object image collected by the object recognition unit through a deep learning model to obtain the estimated weight of the object; the weighing unit obtains the actual weight of the object through a high-precision weight sensor.

8. The unmanned renewable resource recycling system according to claim 5 is characterized in that: The recycling item management module further includes an item value calculation unit, which calculates the item price according to the item type obtained by the item identification unit and the item weight obtained by the weighing unit.

9. The unmanned renewable resource recycling system according to claim 4 is characterized in that: The relevant identity information of the user includes face information. The user identification unit confirms the user through a face recognition algorithm and retrieves the corresponding recycling item list.

10. The unmanned renewable resource recycling system according to claim 2, characterized in that: The vehicle dispatching unit obtains relevant information of the unmanned recycling vehicle in real time, including the vehicle status, the weight of the transported resources and the driving route; when no user in the area issues a request to recycle items, the unmanned recycling vehicle cruises or waits according to the key areas for item recycling; upon receiving a request to recycle items initiated by a user, the unmanned recycling vehicle automatically navigates to the designated recycling point.