Garbage collection and treatment system, method and equipment based on artificial intelligence and medium

Abstract

The invention discloses a garbage collection and treatment system, method, equipment and medium based on artificial intelligence, and the system comprises a self-checking module which is used for carrying out system self-checking after the system is started, and checking whether a hardware module can work normally or not; the information processing module is used for planning a garbage collection path in combination with an AI algorithm; the garbage classification module is used for identifying the category of the garbage and judging the recycling characteristics of the garbage when the system reaches the garbage collection point position; the garbage collection module is used for recycling large-size garbage into a garbage storage container according to the recognition result and the garbage position information after garbage recognition, and dust collection treatment is conducted on dust garbage; the garbage compression module is used for starting garbage compression when the garbage in the garbage storage container reaches a threshold value; according to the invention, an efficient garbage collection function can be realized, accurate garbage identification and classification can be carried out, the storage space and the manpower and material resource cost are saved, and real-time data transmission and remote monitoring management functions are supported.

Description

Technical Field

[0001] The present invention relates to the technical field of garbage disposal, and in particular to a garbage collection and disposal system, method, equipment and medium based on artificial intelligence. Background Art

[0002] In the context of rapid urbanization, various industrial parks, science and technology parks, and commercial parks, as important carriers of economic activities, generate increasing amounts of garbage in their daily operations, posing a challenge to the environmental sanitation management and sustainable development of the parks. Traditional park garbage collection methods mainly rely on manual operations, which have the following disadvantages: (1) Inefficiency: Manual waste collection is generally less efficient than automated or mechanized collection methods. This not only increases labor costs, but may also affect the overall operational efficiency of the park.

[0003] (2) Untimely collection: Due to the limitations of manual operation, garbage collection may not be able to respond in a timely manner. This may cause garbage to accumulate in the park, which not only affects environmental sanitation, but may also breed bacteria, posing a threat to the park environment and residents' health.

[0004] (3) Inaccurate classification: During manual waste collection, the accuracy of classification may be affected by many factors, such as workers’ knowledge of waste classification and work attitude. Inaccurate classification may lead to waste resources and environmental pollution.

[0005] (4) High labor intensity: Manual garbage collection is a physically labor-intensive job. Workers need to perform high-intensity operations outdoors for a long time, which poses certain challenges to their physical health.

[0006] (5) Safety risks: During the garbage collection process, workers may face various safety risks, such as traffic accidents, mechanical injuries, etc. In addition, the garbage may contain toxic and hazardous substances, posing a potential threat to the workers' health.

[0007] (6) Difficulty in management: Manual waste collection involves multiple links and multiple workers, which makes it difficult to manage. This may lead to confusion and mistakes in the waste collection process, which in turn affects the overall image and operational efficiency of the park. Summary of the invention

[0008] The purpose of the present invention is to provide a garbage collection and processing system, method, device and medium based on artificial intelligence, so as to solve all or one of the above-mentioned problems existing in the prior art.

[0009] In order to solve the above technical problems, the specific technical solutions of the present invention are as follows: In one aspect, the present invention provides a garbage collection and processing system based on artificial intelligence, comprising: A self-check module is used to: after the system is started, perform a system self-check to check whether the hardware module can work normally; the self-check module establishes a connection with the park management system to load the park map data and preset working parameters; the self-check module reports the robot working status and the acquired instructions and information; An information processing module is used to plan the garbage collection route based on the park map data, its own positioning and the location information of the garbage collection points in combination with the AI ​​algorithm; the information processing module senses the surrounding environment information during the movement of the system; The garbage classification module is used to: identify the type of garbage and determine the recycling characteristics of the garbage when the system arrives at the garbage collection point; The garbage collection module is used to: after garbage identification, according to the identification results and garbage location information, recycle the bulky garbage into the garbage storage container and vacuum the dusty garbage; A garbage compression module, used to: start garbage compression when the garbage in the garbage storage container reaches a threshold; Communication module, used to: transmit its own working status information to the park management system in real time via Wi-Fi or 5G transmission network; The power management module is used to: when the system power is lower than the set threshold, navigate to the charging station for charging according to the park map information and the current location of the system; during the charging process, maintain communication with the park management system and upload charging status information.

[0010] As an improved solution, the hardware module includes: a sensor, a robotic arm, a laser radar and an industrial camera; The preset working parameters include: the location of the garbage collection point and the collection time interval of each point.

[0011] As an improved solution, the information processing module is also used to use laser radar, sensors or industrial cameras to monitor pedestrians, vehicles and obstacles in the surrounding environment in real time; the information processing module uses GPS and laser radar positioning information to determine in real time that the system position matches the planned garbage collection path.

[0012] As an improved solution, the garbage classification module is also used to identify and classify garbage using an image recognition camera and a near-infrared spectrum sensor; the garbage classification module analyzes the characteristics of the garbage through a deep learning algorithm to determine whether the garbage is recyclable, hazardous waste or other garbage.

[0013] As an improved solution, the garbage collection module is also used to use a robotic arm to grab large-volume garbage and place the grabbed large-volume garbage into a corresponding garbage storage container partition; the garbage collection module starts a dust suction device to suck the dusty garbage into the corresponding storage container partition.

[0014] As an improved solution, the garbage compression module is also used to compress the garbage into small-volume garbage through a compression device when the pressure sensor of the garbage storage container detects that the garbage has reached a threshold value.

[0015] As an improved solution, the self-working status information includes: location, garbage collection amount and equipment health status; The communication module is also used to send an alarm message to the park management system when the system encounters an abnormal situation of equipment failure or garbage overflow; the communication module is also used to receive a task instruction issued by the park management system to adjust the collection route and give priority to the garbage processing in a certain area, and adjust the work flow according to the task instruction; The power management module is also used to regularly perform equipment maintenance checks and arrange maintenance work based on system operation data and usage time; The maintenance work includes: replacing worn parts or cleaning sensors.

[0016] On the other hand, the present invention also provides a garbage collection and processing method based on artificial intelligence, comprising the following steps: After the system is started, it will conduct a self-test to check whether the hardware modules can work normally; establish a connection with the park management system, load the park map data and preset working parameters; report the robot's working status and the instructions and information obtained; According to the park map data, its own positioning and the location information of the garbage collection points, the garbage collection route is planned in combination with the AI ​​algorithm; during the movement of the system, the surrounding environment information is perceived; When the system arrives at the garbage collection point, it identifies the type of garbage and determines the recycling characteristics of the garbage; After garbage identification, based on the identification results and garbage location information, large-volume garbage is recycled into garbage storage containers, and dusty garbage is vacuumed; When the garbage in the garbage storage container reaches a threshold, starting garbage compression; Transmit its own working status information to the park management system in real time via Wi-Fi or 5G transmission network; When the system power level is lower than the set threshold, it navigates to the charging station for charging based on the park map information and the system's current location; during the charging process, it maintains communication with the park management system and uploads charging status information.

[0017] On the other hand, the present invention also provides a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the steps of the artificial intelligence-based garbage collection and processing method are implemented.

[0018] On the other hand, the present invention further provides a computer device, comprising a processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface and the memory communicate with each other via the communication bus; wherein: The memory is used to store computer programs; The processor is used to execute the steps of the artificial intelligence-based garbage collection and processing method by running the program stored in the memory.

[0019] The beneficial effects of the technical solution of the present invention are: 1. The artificial intelligence-based garbage collection and processing system described in the present invention can realize efficient garbage collection function through the mutual cooperation of system modules, can accurately identify and classify garbage, save storage space and manpower and material costs, support real-time data transmission and remote monitoring and management functions, can be charged and maintained autonomously, and has high intelligence and application value.

[0020] 2. The artificial intelligence-based garbage collection and processing method described in the present invention can call the system modules in an orderly manner, thereby realizing the system logic of the artificial intelligence-based garbage collection and processing system described in the present invention.

[0021] 3. The computer-readable storage medium described in the present invention can realize the cooperation of the guiding system module, thereby realizing the garbage collection and processing method based on artificial intelligence described in the present invention, and the computer-readable storage medium described in the present invention also effectively improves the operability of the garbage collection and processing method based on artificial intelligence.

[0022] 4. The computer device described in the present invention can store and execute the computer-readable storage medium, thereby realizing the artificial intelligence-based garbage collection and processing method described in the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] In order to more clearly illustrate the specific implementation methods of the present invention or the technical solutions in the prior art, the drawings required for use in the specific implementation methods or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are some implementation methods of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0024] Figure 1It is a schematic diagram of the architecture of the garbage collection and processing system based on artificial intelligence described in Example 1 of the present invention; Figure 2 This is a schematic diagram of the robot implementation effect of the artificial intelligence-based garbage collection and processing system in practical application according to Example 1 of the present invention; Figure 3 This is a schematic diagram of the workflow of the garbage collection and processing system based on artificial intelligence in practical application according to Embodiment 1 of the present invention; Figure 4 is a flow chart of the garbage collection and processing method based on artificial intelligence described in Example 2 of the present invention; Figure 5 is a schematic diagram of the structure of the computer device described in Example 4 of the present invention; The symbols in the accompanying drawings are explained as follows: 1501, processor; 1502, communication interface; 1503, memory; 1504, communication bus. DETAILED DESCRIPTION

[0025] The preferred embodiments of the present invention are described in detail below in conjunction with the accompanying drawings so that the advantages and features of the present invention can be more easily understood by those skilled in the art, thereby making a clearer and more definite definition of the protection scope of the present invention.

[0026] In the description of the present invention, it should be noted that the embodiments described in the present invention are only part of the embodiments of the present invention, rather than all of the embodiments; based on the embodiments in the present invention, all other embodiments obtained by ordinary technicians in the field without making creative work are within the scope of protection of the present invention.

[0027] The terms "first", "second", etc. in the specification and claims of this article and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments of this article described here can be implemented in an order other than those illustrated or described here. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, device, product or equipment that includes a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or equipment. Example 1

[0028] This embodiment provides a garbage collection and processing system based on artificial intelligence, such as Figure 1~Figure 3 As shown, including: The self-check module is used to: perform a system self-check after the system is started to check whether the hardware module can work normally; the self-check module establishes a connection with the park management system to load the park map data and preset working parameters; the self-check module reports the robot's working status and the instructions and information obtained; the hardware module includes: sensors, robotic arms, laser radars and industrial cameras; the preset working parameters include: the location of garbage collection points and the collection time interval of each point.

[0029] The information processing module is used to: plan the garbage collection path according to the park map data, its own positioning and the location information of the garbage collection point in combination with the AI ​​algorithm; the information processing module perceives the surrounding environment information during the movement of the system; the information processing module is also used to use laser radar, sensors or industrial cameras to monitor pedestrians, vehicles and obstacles in the surrounding environment in real time; the information processing module determines in real time through GPS and laser radar positioning information that the system position matches the planned garbage collection path.

[0030] The garbage classification module is used to: identify the type of garbage and determine the recycling characteristics of the garbage when the system arrives at the garbage collection point; the garbage classification module is also used to use an image recognition camera and a near-infrared spectrum sensor to identify and classify the garbage; the garbage classification module analyzes the characteristics of the garbage through a deep learning algorithm to determine whether the garbage is recyclable, hazardous waste or other garbage.

[0031] The garbage collection module is used to: after garbage identification, recycle large-volume garbage into a garbage storage container and vacuum the dusty garbage according to the identification results and garbage location information; the garbage collection module is also used to use a robotic arm to grab large-volume garbage and put the grabbed large-volume garbage into the corresponding garbage storage container partition; the garbage collection module starts the vacuum device to suck the dusty garbage into the corresponding storage container partition.

[0032] The garbage compression module is used to start garbage compression when the garbage in the garbage storage container reaches a threshold value; the garbage compression module is also used to compress the garbage into small-volume garbage through a compression device when the pressure sensor of the garbage storage container detects that the garbage has reached a threshold value.

[0033] The communication module is used to: transmit its own working status information to the park management system in real time via Wi-Fi or 5G transmission network; the working status information includes: location, garbage collection volume and equipment health status; the communication module is also used to send alarm information to the park management system when the system encounters abnormal conditions such as equipment failure or garbage overflow; the communication module is also used to receive task instructions issued by the park management system to adjust the collection route and give priority to the processing of garbage in a certain area, and adjust the work process according to the task instructions.

[0034] The power management module is used to: when the system power is lower than the set threshold, navigate to the charging station for charging according to the park map information and the current location of the system; during the charging process, maintain communication with the park management system and upload charging status information; the power management module is also used to perform regular equipment maintenance checks and arrange maintenance work according to the system's operating data and usage time; the maintenance work includes: replacing worn parts or cleaning sensors.

[0035] As a better example, Figure 3As shown in the figure, in actual application, this system is a park garbage collection and processing robot based on artificial intelligence. Based on the functional architecture of the above modules, the workflow of the robot is as follows: After the robot is started, it first performs a system self-check to check whether each hardware module (sensor, robotic arm, laser radar, industrial camera, etc.) can work normally. At the same time, it establishes a connection with the park management system through the network communication module, loads the park map data and preset working parameters (such as the location of the garbage collection point, the collection time interval of each point, etc.), reports the robot's own working status, and obtains the latest instructions and information. The robot plans an efficient garbage collection path based on the park map data, its own positioning and garbage collection point information combined with the AI ​​algorithm. During the movement, the robot monitors the surrounding environment in real time through environmental perception modules such as laser radar, sensors, and industrial cameras to avoid collisions with pedestrians, vehicles, and obstacles. At the same time, the robot determines its own position in real time through the positioning system (such as GPS combined with laser radar positioning) to ensure accurate driving along the planned path. When the robot arrives near the garbage collection point, it uses the image recognition camera and near-infrared spectrum sensor to identify and classify the garbage. The characteristics of the garbage are analyzed through the deep learning algorithm to determine whether the garbage is recyclable, hazardous garbage, or other garbage. After identification, for larger garbage items, the robot extends its mechanical arm to grab the garbage and put it into the corresponding garbage storage container partition according to the identification results and garbage location information. The mechanical arm has multiple degrees of freedom and precise control capabilities to ensure accurate grabbing. For fine garbage such as dust and debris, the vacuum device is activated to suck the garbage into the corresponding partition of the storage container through strong suction. The vacuum device has an efficient filtering system to prevent secondary dust and blockage of garbage. When the pressure sensor of the garbage storage container module detects that the garbage reaches a certain amount, the garbage compression function is activated. The garbage is compressed into a smaller volume through the compression device to save storage space. The storage container has good sealing to prevent the odor and leakage of garbage. At the same time, different partitions ensure the classified storage of different types of garbage. During the working process, the robot transmits its own working status information (such as location, garbage collection volume, equipment health status, etc.) to the park management system in real time through the network communication module (supporting Wi-Fi and 5G). If an abnormal situation (such as equipment failure, garbage overflow, etc.) is encountered, an alarm message is sent to the management system in time so that the management personnel can take timely measures. At the same time, it receives instructions from the management system (such as adjusting the collection route, giving priority to garbage in a certain area, etc.) and adjusts the work process according to the instructions. When the robot's battery level is lower than the set threshold, it will autonomously navigate to the charging station for charging based on the park map information and the robot's current location. During the charging process, it continues to communicate with the management system and upload charging status information. At the same time, it regularly performs equipment maintenance inspections. According to the robot's operating data and usage time, the management personnel will arrange necessary maintenance work, such as replacing worn parts and cleaning sensors.

[0036] As a better example, Figure 2 As shown, in actual application, the above-mentioned artificial intelligence-based park garbage collection and processing robot is mainly composed of a motion chassis (a combination of wheels and tracks to cope with different environments), an industrial camera, a laser radar, a variety of sensors, a garbage collection module (a robotic arm and a vacuum cleaner), a storage module, a compression device, a sound and warning device, a network communication module, a power module, a host module, a Bluetooth module, a self-test module and related supporting software. The specific functions of each of the above modules are as follows: (1) Motion chassis: It adopts a combination of wheel and track design, enabling it to move in different terrain environments.

[0037] (2) Industrial camera: used to capture images of garbage and identify the garbage using computer vision technology in conjunction with the image recognition software in the host module. The auxiliary laser radar monitors the environment around the robot.

[0038] (3) LiDAR: used for environmental perception, map construction, and navigation assistance.

[0039] (4) Various sensors: Ultrasonic sensors are used for close-range obstacle detection. Infrared sensors are suitable for detecting hot objects (such as vehicle engines, etc.). Together with ultrasonic sensors, they can further improve the robot's ability to perceive the surrounding environment. Proximity sensors are used to detect the distance between the robot arm and the garbage. Pressure sensors are used to detect the pressure of the garbage storage module. When the pressure reaches a certain value, the garbage compression device is triggered to start.

[0040] (5) Garbage collection module: The robot arm is used to grab large garbage. The vacuum cleaner is used to collect small garbage such as dust and debris.

[0041] (6) Storage module: divided into multiple areas, different garbage is stored in different areas.

[0042] (7) Compression device: When the amount of garbage in the garbage storage module reaches a certain level, the compression device starts to compress the garbage into a smaller volume by applying pressure.

[0043] (8) Sound and warning device: When the robot is working, it can send out sound and light signals to alert people and vehicles around it of its presence and working status. In addition, if a part of the robot fails, it can also send out an alarm through light and sound.

[0044] (9) Network communication module: The communication basis between the robot and the park management system, which can support 5G and Wi-Fi.

[0045] (10) Power module: As the energy source of the robot, it provides the power required for the operation of the robot's various components and systems.

[0046] (11) Host module: collects and integrates data from various modules of the robot, and uses built-in algorithms and software to conduct in-depth analysis of the integrated data. It controls the overall operation of the robot and ensures the coordination between the various components of the robot.

[0047] (12) Bluetooth module: allows administrators to wirelessly connect to the robot for maintenance and debugging.

[0048] (13) Self-check module: Each time the robot is started, all hardware modules and software systems of the robot are checked. Once any hardware or software failure is found, the self-check module will immediately report the failure information to the host module and the management personnel.

[0049] (14) Garbage identification software: image recognition, data comparison and classification (15) Path planning software: map construction and path search and planning (16) Control software: sensor data processing, motion control and robotic arm control (17) Self-test and fault diagnosis software: detects whether the working status of each component is normal. When the robot fails, the software can quickly and accurately diagnose the cause and location of the fault and provide the corresponding fault code and solution.

[0050] (18) Communication and user interaction software: Administrators can manage the robot remotely or through interactive software.

[0051] It should be noted that the above examples are only for explaining the present invention and cannot limit the protection scope of the present invention. Example 2

[0052] This embodiment is based on the same inventive concept as the artificial intelligence-based garbage collection and processing system described in Embodiment 1, and provides an artificial intelligence-based garbage collection and processing method, such as Figure 4 As shown, the following steps are included: S100: After the system is started, perform a system self-check to check whether the hardware module can work normally; establish a connection with the park management system, load the park map data and preset working parameters; report the robot's working status and the obtained instructions and information; S200, plans the garbage collection route based on the park map data, its own positioning and the location information of the garbage collection points, combined with the AI ​​algorithm; perceives the surrounding environment information during the movement of the system; S300, when the system arrives at the garbage collection point, identifying the type of garbage and determining the recycling characteristics of the garbage; S400, after garbage identification, based on the identification result and garbage location information, the bulky garbage is recycled into a garbage storage container, and the dusty garbage is vacuumed; S500, when the garbage in the garbage storage container reaches a threshold, starting garbage compression; S600 transmits its working status information to the park management system in real time via Wi-Fi or 5G transmission network; S700: When the system power level is lower than a set threshold, navigate to a charging station for charging based on the park map information and the system's current location; during the charging process, maintain communication with the park management system and upload charging status information. Example 3

[0053] This embodiment provides a computer-readable storage medium, including: The storage medium is used to store computer software instructions used to implement the artificial intelligence-based garbage collection and processing method described in the above-mentioned Example 2, which includes a program for executing the above-mentioned program set for the artificial intelligence-based garbage collection and processing method; specifically, the executable program can be built into the artificial intelligence-based garbage collection and processing system described in Example 1, so that the artificial intelligence-based garbage collection and processing system can implement the artificial intelligence-based garbage collection and processing method described in Example 2 by executing the built-in executable program.

[0054] In addition, the computer-readable storage medium of this embodiment may adopt any combination of one or more computer-readable storage media, wherein the computer-readable storage medium includes electrical, optical, electromagnetic, infrared or semiconductor systems, devices or components, or any combination thereof. Example 4

[0055] This embodiment provides an electronic device, such as Figure 5 As shown, the electronic device may include: a processor 1501 , a communication interface 1502 , a memory 1503 and a communication bus 1504 , wherein the processor 1501 , the communication interface 1502 , and the memory 1503 communicate with each other via the communication bus 1504 .

[0056] Memory 1503, used for storing computer programs; The processor 1501 is used to implement the steps of the garbage collection and processing method based on artificial intelligence described in the above-mentioned embodiment 1 when executing the computer program stored in the memory 1503.

[0057] As an embodiment of the present invention, the communication bus mentioned in the above terminal can be a Peripheral Component Interconnect (PCI) bus or an Extended Industry Standard Architecture (EISA) bus. The communication bus can be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 5 Only one thick line is used in the diagram, but this does not mean that there is only one bus or only one type of bus.

[0058] As an implementation mode of the present invention, the communication interface is used for communication between the above-mentioned terminal and other devices.

[0059] As an embodiment of the present invention, the memory may include a random access memory (RAM) or a non-volatile memory, such as at least one disk memory. Optionally, the memory may also be at least one storage device located away from the aforementioned processor.

[0060] As an embodiment of the present invention, the above-mentioned processor can be a general-purpose processor, including a central processing unit (CPU), a network processor (NP), etc.; it can also be a digital signal processor (DSP), an application specific integrated circuit (ASIC), a field programmable gate array (FPGA) or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components.

[0061] Different from the prior art, the present application adopts an artificial intelligence-based garbage collection and processing system, method, equipment and medium, which can efficiently collect garbage, accurately identify and classify garbage, save storage space and manpower and material costs, support real-time data transmission and remote monitoring and management functions, can be charged and maintained autonomously, and has high intelligence and application value.

[0062] It should be understood that in the various embodiments of this document, the size of the serial numbers of the above-mentioned processes does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of this document.

[0063] It should also be understood that in the embodiments of this article, the term "and / or" is only a description of the association relationship of the associated objects, indicating that three relationships may exist. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. In addition, the character " / " in this article generally indicates that the associated objects before and after are in an "or" relationship.

[0064] Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of the two. In order to clearly illustrate the interchangeability of hardware and software, the composition and steps of each example have been generally described in terms of function in the above description. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this article.

[0065] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific logical process of the method described above can refer to the corresponding working processes of the systems, devices and units in the aforementioned method embodiments, and will not be repeated here.

[0066] In the several embodiments provided herein, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic, for example, the division of the units is only a logical function division, and there may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interfaces, devices or units, or can be electrical, mechanical or other forms of connection.

[0067] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the embodiments of this article.

[0068] In addition, each functional unit in each embodiment of this invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above integrated unit may be implemented in the form of hardware or in the form of software functional unit.

[0069] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this article is essentially or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions to enable a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of this article. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk and other media that can store program codes.

[0070] The above descriptions are merely embodiments of the present invention and are not intended to limit the patent scope of the present invention. Any equivalent structure or equivalent process transformation made using the contents of the present invention specification and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present invention.

Claims

1. A garbage collection and processing system based on artificial intelligence, characterized in that: include: The self-check module is used to: perform a system self-check after the system is started to check whether the hardware modules can work normally; The self-check module establishes a connection with the park management system, loads the park map data and preset working parameters; the self-check module reports the robot working status and the acquired instructions and information; An information processing module is used to plan the garbage collection route based on the park map data, its own positioning and the location information of the garbage collection points in combination with the AI ​​algorithm; the information processing module senses the surrounding environment information during the movement of the system; The garbage classification module is used to: identify the type of garbage and determine the recycling characteristics of the garbage when the system arrives at the garbage collection point; The garbage collection module is used to: after garbage identification, according to the identification results and garbage location information, recycle the bulky garbage into the garbage storage container and vacuum the dusty garbage; A garbage compression module, used to: start garbage compression when the garbage in the garbage storage container reaches a threshold; Communication module, used to: transmit its own working status information to the park management system in real time via Wi-Fi or 5G transmission network; The power management module is used to: when the system power is lower than the set threshold, navigate to the charging station for charging according to the park map information and the current location of the system; during the charging process, maintain communication with the park management system and upload charging status information.

2. The artificial intelligence-based garbage collection and processing system according to claim 1, characterized in that: The hardware module includes: sensors, robotic arms, laser radars and industrial cameras; The preset working parameters include: the location of the garbage collection point and the collection time interval of each point.

3. The artificial intelligence-based garbage collection and processing system according to claim 1, characterized in that: The information processing module is also used to use laser radar, sensors or industrial cameras to monitor pedestrians, vehicles and obstacles in the surrounding environment in real time; the information processing module uses GPS and laser radar positioning information to determine in real time whether the system position matches the planned garbage collection path.

4. The artificial intelligence-based garbage collection and processing system according to claim 1, characterized in that: The garbage classification module is also used to identify and classify garbage using an image recognition camera and a near-infrared spectrum sensor; the garbage classification module analyzes the characteristics of the garbage through a deep learning algorithm to determine whether the garbage is recyclable, hazardous waste or other garbage.

5. The artificial intelligence-based garbage collection and processing system according to claim 1, characterized in that: The garbage collection module is also used to use a mechanical arm to grab large-volume garbage and put the grabbed large-volume garbage into the corresponding garbage storage container partition; the garbage collection module starts the dust suction device to suck the dust garbage into the corresponding storage container partition.

6. The artificial intelligence-based garbage collection and processing system according to claim 1, characterized in that: The garbage compression module is also used to compress the garbage into small-volume garbage through a compression device when the pressure sensor of the garbage storage container detects that the garbage has reached a threshold.

7. The artificial intelligence-based garbage collection and processing system according to claim 1, characterized in that: The self-working status information includes: location, garbage collection amount and equipment health status; The communication module is also used to send an alarm message to the park management system when the system encounters an abnormal situation of equipment failure or garbage overflow; the communication module is also used to receive a task instruction issued by the park management system to adjust the collection route and give priority to the garbage processing in a certain area, and adjust the work flow according to the task instruction; The power management module is also used to perform regular equipment maintenance checks and arrange maintenance work based on system operation data and usage time; The maintenance work includes: replacing worn parts or cleaning sensors.

8. A garbage collection and processing method based on artificial intelligence, characterized in that: The following steps are involved: After the system starts, perform a system self-test to check whether the hardware modules can work normally; Establish a connection with the park management system, load park map data and preset working parameters; report the robot's working status and the instructions and information obtained; According to the park map data, its own positioning and the location information of the garbage collection points, the AI ​​algorithm is combined to plan the garbage collection route; During the movement of the system, the system perceives the surrounding environment information; When the system arrives at the garbage collection point, it identifies the type of garbage and determines the recycling characteristics of the garbage; After garbage identification, based on the identification results and garbage location information, large-volume garbage is recycled into garbage storage containers, and dusty garbage is vacuumed; When the garbage in the garbage storage container reaches a threshold, starting garbage compression; Transmit its own working status information to the park management system in real time via Wi-Fi or 5G transmission network; When the system power level is lower than the set threshold, it navigates to the charging station for charging based on the park map information and the system's current location; during the charging process, it maintains communication with the park management system and uploads charging status information.

9. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, which, when executed by a processor, implements the steps of the artificial intelligence-based garbage collection and processing method described in claim 8.

10. A computer device, characterized in that: It includes a processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface and the memory communicate with each other through the communication bus; wherein: The memory is used to store computer programs; The processor is used to execute the steps of the artificial intelligence-based garbage collection and processing method described in claim 8 by running the program stored in the memory.

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