A garbage removal method, electronic device and storage medium based on artificial intelligence

Abstract

The present invention relates to the field of smart sanitation technology, and specifically discloses a garbage collection method, electronic device and storage medium based on artificial intelligence, including: the platform sends a collection order to a part-time collection staff to grab the order. If there is no part-time collection staff to grab the order, the collection order is sent to a full-time collection staff. The full-time / part-time collection staff go to the garbage recycling equipment for collection according to the predetermined route and time, and upload the collection information to the platform for comprehensive review. If the review is passed, the income of this collection work is allocated to the part-time collection staff / full-time collection staff. The present invention gives priority to sending the collection order to the part-time collection staff, and the enterprise does not need to hire too many full-time collection staff. It can not only greatly reduce the labor cost, but also improve the efficiency of personnel scheduling, and can also enhance the enthusiasm of ordinary residents to participate in garbage collection and recycling work, and can also improve the efficiency of garbage collection.

Description

Technical Field

[0001] The present invention relates to the field of smart sanitation, and in particular to a garbage removal method, electronic equipment and storage medium based on artificial intelligence. Background Art

[0002] As people's living standards continue to improve, the amount of garbage generated is also increasing, causing great pollution to the environment. In recent years, although under the guidance of government propaganda, people's environmental awareness has gradually increased, and garbage classification has become more and more popular in people's lives. However, there are still many problems in garbage collection and transportation. On the one hand, the current garbage collection and transportation methods often have problems such as untimely collection and transportation, random charges, and random dumping, which not only affects the urban environment, but also may cause waste of resources. On the other hand, the current garbage collection and transportation work requires a large number of staff dedicated to collection and transportation, the labor cost is extremely high, and the efficiency of personnel scheduling is low, which makes it difficult to improve the efficiency of garbage collection and transportation. Summary of the invention

[0003] The purpose of the present invention is to provide a garbage collection method based on artificial intelligence, which can effectively solve the problems of untimely garbage collection, random charges, and random dumping, while also reducing the labor cost of collection and improving collection efficiency; another purpose of the present invention is to provide a garbage collection electronic device and storage medium based on artificial intelligence, both of which have the above-mentioned technical effects.

[0004] A first aspect of an embodiment of the present application provides a garbage removal method based on artificial intelligence, comprising the following steps:

[0005] S101, a sensor installed on the garbage recycling equipment monitors in real time whether the garbage in the garbage recycling equipment reaches a removal threshold. If the removal threshold is reached, the garbage recycling equipment sends the removal data to the platform.

[0006] S102, the platform forms a removal order based on the removal data, and sends the removal order to the removal end. The part-time removal staff determines whether to grab the order at the removal end based on the removal order. If there is no part-time removal staff to grab the order, execute step S103; if the part-time removal staff grabs the order, execute step S104.

[0007] S103, if the platform does not receive any feedback from part-time cleaners grabbing the order within the first preset time and the preset number of times, the platform will send the removal order to the removal end of the full-time cleaners. The full-time cleaners will go to the garbage recycling equipment for removal according to the first route and the second preset time sent by the platform.

[0008] S104, the part-time cleaning personnel go to the garbage recycling equipment for cleaning according to the second route and the third preset time sent by the platform.

[0009] S105, after the part-time / full-time removal personnel complete the cleaning, they transport the garbage to the garbage collection point along the second route within the fourth predetermined time, and upload the removal information from the removal end to the platform. The management personnel conduct a comprehensive review based on the first removal information uploaded by the garbage recycling equipment, the second removal information uploaded by the part-time / full-time removal personnel, and the platform's monitoring information. If the review is passed, the income from this removal work will be distributed to the part-time / full-time removal personnel.

[0010] Optionally, the removal order includes: equipment location, garbage type, removal vehicle type, and estimated revenue.

[0011] Optionally, after the part-time cleaning personnel / full-time cleaning personnel complete the cleaning, they transport the garbage to the garbage collection point along the second route within a fourth predetermined time, specifically including:

[0012] S201, the platform determines multiple matching garbage collection points according to the garbage type.

[0013] S202, constructing an adjacency matrix for any of the garbage collection points, taking the locations of the garbage collection equipment, the locations of the garbage collection points, the starting point and end point of each road, and the intersection of each road as nodes of the adjacency matrix.

[0014] S203, obtaining the real-time conditions of roads corresponding to any two nodes in the adjacency matrix, and determining the weight between any two nodes in the adjacency matrix.

[0015] S204, based on the constructed adjacency matrix and the determined weights between the nodes, calculating the optimal route from the garbage collection device to each matching garbage collection point.

[0016] S205, selecting a second route from multiple optimal routes, calculating a fourth scheduled time, and sending it to the removal end, and the part-time removal personnel / full-time removal personnel transport the garbage to the garbage collection point according to the second route within the fourth scheduled time.

[0017] Optionally, the real-time road condition includes one or more of the following factors: road surface condition, road length, and congestion level.

[0018] A second aspect of an embodiment of the present application provides an electronic device, comprising at least one processor, at least one memory, and computer program instructions stored in the memory, wherein the artificial intelligence-based garbage removal method is implemented when the computer program instructions are executed by the processor.

[0019] A third aspect of an embodiment of the present application provides a storage medium on which computer program instructions are stored, and when the computer program instructions are executed by a processor, the artificial intelligence-based garbage removal method is implemented.

[0020] Compared with the prior art, the embodiments of the present application have the following beneficial effects:

[0021] (1) The cleaning personnel of the present invention include full-time cleaning personnel and part-time cleaning personnel. When there is garbage to be cleaned, the platform will give priority to sending the cleaning order to the part-time cleaning personnel, who will grab the order. The cleaning order will be sent to the full-time cleaning personnel only when there is no part-time cleaning personnel to grab the order. The enterprise responsible for garbage collection and transportation does not need to hire too many full-time cleaning personnel, which can not only greatly reduce the labor cost and improve the efficiency of personnel scheduling, but also enhance the enthusiasm of ordinary residents to participate in garbage collection and recycling work, and further improve the efficiency of garbage collection.

[0022] (2) The present invention calculates the optimal route to each garbage collection point based on the real-time traffic conditions, and then selects the second route with the shortest time from multiple optimal routes, and guides the garbage collection personnel to transport the garbage to the final garbage collection point within the specified time according to the route. The above method allows the garbage collection personnel to transport the garbage to the garbage collection point in the shortest time, which greatly improves the efficiency of garbage collection work. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for describing the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

[0024] Figure 1 A schematic flow chart of the artificial intelligence-based garbage removal method provided by the present invention. DETAILED DESCRIPTION

[0025] 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 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.

[0026] It should be understood that when used in this specification and the appended claims, the terms "include" and "comprises" indicate the presence of described features, integers, steps, operations, elements and / or components, but do not exclude the presence or addition of one or more other features, integers, steps, operations, elements, components and / or combinations thereof.

[0027] It should also be understood that the terms used in this specification of the present invention are only for the purpose of describing specific embodiments and are not intended to limit the present invention. As used in the specification of the present invention and the appended claims, unless the context clearly indicates otherwise, the singular forms "a", "an" and "the" are intended to include plural forms.

[0028] It should be further understood that the term "and / or" used in the present specification and the appended claims refers to any and all possible combinations of one or more of the associated listed items, and includes these combinations.

[0029] It should be noted that, unless otherwise specified, the technical terms or scientific terms used in this application should have the common meanings understood by those skilled in the art to which the present invention belongs.

[0030] Please refer to Figure 1 , Figure 1 A schematic diagram of a garbage removal method based on artificial intelligence provided by an embodiment of the present invention; Figure 1 It can be seen that the garbage removal method based on artificial intelligence includes the following steps:

[0031] S101, a sensor installed on the garbage recycling equipment monitors in real time whether the garbage in the garbage recycling equipment reaches a removal threshold. If the removal threshold is reached, the garbage recycling equipment sends the removal data to the platform.

[0032] The garbage recycling device of the present invention is equipped with a sensor for real-time monitoring of the garbage in the device. If the garbage in the device is overflowing and reaches the removal threshold, the device will report the removal data to the platform.

[0033] The removal data includes: equipment location, garbage type, and garbage weight.

[0034] S102, the platform forms a removal order based on the removal data, and sends the removal order to the removal end. The part-time removal staff determines whether to grab the order at the removal end based on the removal order. If there is no part-time removal staff to grab the order, execute step S103; if the part-time removal staff grabs the order, execute step S104.

[0035] The cleaning personnel of the present invention include full-time cleaning personnel and part-time cleaning personnel. Among them, full-time cleaning personnel are employees hired by the enterprise responsible for garbage recycling and cleaning, and are specifically responsible for garbage cleaning; part-time cleaning personnel are non-employed employees, and can be any person who meets the application conditions and passes the review.

[0036] Before passing the review to become a part-time cleaner, the user needs to register an account on the terminal device and upload personal information and vehicle information. The platform will review the registration information, and only after passing the review can the user become a part-time cleaner.

[0037] After receiving the removal data, the platform generates a removal order based on the removal data, including: equipment location, garbage type, removal vehicle type, and estimated revenue.

[0038] The platform determines the type of vehicle required for this garbage collection based on the garbage type and weight data transmitted by the garbage recycling equipment. For example, different types of vehicles are required for kitchen waste and non-kitchen waste. Kitchen waste requires a special kitchen waste collection vehicle due to its special form and properties. At the same time, even for the same type of garbage, different weights and volumes require different capacity collection vehicles.

[0039] In addition, the platform will calculate the estimated revenue of this removal based on the garbage type and weight data and provide it to part-time removalists for reference. Part-time removalists can decide whether to grab the order based on the above information.

[0040] After the platform forms a removal list, it does not send the removal order to all part-time removal workers, but only to part-time removal workers who meet the removal conditions. The removal conditions include: the range of the removal vehicle is greater than the estimated mileage to the garbage recycling equipment, and the type of removal vehicle matches the type of garbage.

[0041] For example, when the garbage that needs to be removed is kitchen waste, the platform will only send the removal order to part-time removal personnel who meet the conditions for kitchen waste removal, and will not send the removal order to part-time removal personnel who only meet the conditions for recyclable waste removal.

[0042] S103, if the platform does not receive any feedback from part-time cleaners grabbing the order within the first preset time and the preset number of times, the platform will send the removal order to the removal end of the full-time cleaners. The full-time cleaners will go to the garbage recycling equipment for removal according to the first route and the second preset time sent by the platform.

[0043] After generating an order, the platform will simultaneously send the order to all qualified part-time cleaners. The part-time cleaners will check the order information through the cleaning end and will need to decide whether to accept the cleaning order within the first preset time. If no part-time cleaner accepts the order within the first preset time, the platform will send the cleaning order again to all qualified part-time cleaners.

[0044] When the platform has sent the order the preset number of times and there is still no part-time removal staff to take the order, the platform will send the removal order to the full-time removal staff, who will complete the removal work.

[0045] The platform will calculate the first route and the second preset time based on the location of the dedicated removal personnel and the location of the waste recycling equipment. The dedicated removal personnel can reach the location of the waste recycling equipment within the second preset time according to the first route.

[0046] S104, the part-time cleaning personnel go to the garbage recycling equipment for cleaning according to the second route and the third preset time sent by the platform.

[0047] After generating an order, the platform will distribute the order to all part-time cleaning personnel who meet the requirements. After the part-time cleaning personnel confirm to grab the order at the cleaning end, the platform will calculate the second route and the third preset time based on the location of the part-time cleaning personnel and the location of the garbage recycling equipment. The part-time cleaning personnel can go to the location of the garbage recycling equipment within the third preset time according to the second route.

[0048] The cleaning personnel of the present invention include full-time cleaning personnel and part-time cleaning personnel. When there is garbage to be cleaned, the platform will give priority to sending the cleaning order to the part-time cleaning personnel, who will grab the order. The cleaning order will be sent to the full-time cleaning personnel only when there is no part-time cleaning personnel to grab the order. The enterprise responsible for garbage collection and transportation does not need to hire too many full-time cleaning personnel, which can not only greatly reduce the labor cost and improve the efficiency of personnel scheduling, but also enhance the enthusiasm of ordinary residents to participate in garbage collection and recycling, and further improve the efficiency of garbage collection.

[0049] S105, after the part-time / full-time removal personnel complete the cleaning, they transport the garbage to the garbage collection point along the second route within the fourth predetermined time, and upload the removal information from the removal end to the platform. The management personnel conduct a comprehensive review based on the first removal information uploaded by the garbage recycling equipment, the second removal information uploaded by the part-time / full-time removal personnel, and the platform's monitoring information. If the review is passed, the income from this removal work will be distributed to the part-time / full-time removal personnel.

[0050] Among them, the first removal information includes: garbage type, garbage weight, removal time, and removal image; the second removal information includes: garbage type, garbage category, removal time, and removal image; the monitoring information includes: the removal time of the part-time removal personnel / full-time removal personnel.

[0051] The management personnel will judge whether the cleaning personnel have cheated based on the cleaning-related information uploaded by the garbage recycling equipment and the cleaning personnel, and conduct a comprehensive review of the cleaning work based on whether the cleaning time of the cleaning personnel has exceeded the time monitored by the platform.

[0052] If the cleaner does not cheat and the cleaning time is within the time limit, the review is passed and the platform will transfer the allocated income to the cleaner's personal account.

[0053] If the cleaner does not cheat but the cleaning time is exceeded, the audit will be passed, but the platform will deduct part of the income and then transfer the remaining income to the cleaner's personal account.

[0054] If the haulier engages in cheating, for example, the actual weight of the order does not match the weight uploaded by the haulier, the haulier order will not pass the review and the haulier can file an appeal.

[0055] Since some garbage collection points can only recycle one type of garbage, while some garbage collection points can recycle multiple types of garbage, for example, some garbage collection points can only recycle kitchen waste, while some garbage collection points can not only recycle kitchen waste, but also recycle recyclable garbage and hazardous waste, etc., therefore, the platform needs to determine the corresponding garbage collection point according to the type of garbage, and the garbage collection point may be one or more. The present invention is described for the case where there are multiple garbage collection stations.

[0056] After the part-time / full-time cleaning personnel have completed the cleaning, they will transport the garbage to the garbage collection point along the second route within the fourth predetermined time, specifically including:

[0057] S201, the platform determines multiple matching garbage collection points according to the garbage type.

[0058] There are usually multiple recycling points in the area where the garbage recycling equipment is located. Some recycling points can only recycle a certain type of garbage, while some recycling points can recycle multiple types of garbage at the same time. In addition, since garbage is transported to each recycling point every day, the remaining storage space is also different.

[0059] Therefore, the platform will match the real-time remaining storage space of each garbage recycling point monitored, and determine multiple garbage recycling points that can accommodate the garbage type.

[0060] S202, constructing an adjacency matrix for any of the garbage collection points, taking the locations of the garbage collection equipment, the locations of the garbage collection points, the starting point and end point of each road, and the intersection of each road as nodes of the adjacency matrix.

[0061] For each matching garbage collection point, the platform will calculate the optimal route from the garbage collection equipment to the garbage collection point. The present invention calculates the optimal route to each garbage collection point through an adjacency matrix.

[0062] S203, obtaining the real-time conditions of roads corresponding to any two nodes in the adjacency matrix, and determining the weight between any two nodes in the adjacency matrix.

[0063] The real-time road conditions include one or more of the following factors: road surface conditions, i.e., whether the road is closed for construction, and if so, the length and width of the closed area; road length, i.e., the length of the road between two nodes; congestion level, i.e., the length and number of vehicles on the road that are congested.

[0064] The weight is determined according to the real-time road conditions corresponding to any two nodes in the adjacency matrix, specifically, one or more factors in the real-time road conditions are superimposed to obtain the weight between any two nodes in the adjacency matrix.

[0065] S204, based on the constructed adjacency matrix and the determined weights between the nodes, calculating the optimal route from the garbage collection device to each matching garbage collection point.

[0066] Based on the constructed adjacency matrix and the determined weights between the nodes, multiple paths from the garbage collection equipment to each garbage collection point are calculated to obtain the optimal path to each garbage collection point.

[0067] S205, selecting a second route from multiple optimal routes, calculating a fourth scheduled time, and sending it to the removal end, and the part-time removal personnel / full-time removal personnel transport the garbage to the garbage collection point according to the second route within the fourth scheduled time.

[0068] Among multiple garbage collection points, even if the garbage collection equipment is the closest to a certain garbage collection point, it may take longer to get to that garbage collection point than to other garbage collection points due to road closures or congestion.

[0069] Therefore, the present invention calculates the optimal route to each garbage collection point according to the real-time traffic conditions, and then selects the second route with the shortest time from multiple optimal routes, and guides the garbage collection personnel to transport the garbage to the final garbage collection point within the specified time according to the route.

[0070] The above method allows the garbage collection personnel to transport the garbage to the garbage recycling point in the shortest time, greatly improving the efficiency of garbage collection work.

[0071] An embodiment of the present invention also provides an electronic device, comprising at least one processor, at least one memory, and computer program instructions stored in the memory, wherein when the computer program instructions are executed by the processor, the artificial intelligence-based garbage removal method is implemented.

[0072] It should be noted that the specific examples in this embodiment can refer to the examples described in the above embodiments and optional implementation modes, and will not be repeated in this embodiment.

[0073] In addition, in combination with the artificial intelligence-based garbage removal method provided in the above embodiments, a storage medium can also be provided in this embodiment, on which computer program instructions are stored, and when the computer program instructions are executed by the processor, the artificial intelligence-based garbage removal method is implemented.

[0074] The device embodiments described above are merely illustrative, wherein the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. Ordinary technicians in this field can understand and implement it without paying creative labor.

[0075] Through the description of the above implementation methods, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus a necessary general hardware platform, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solution is essentially or the part that contributes to the prior art can be embodied in the form of a software product, and the computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, a disk, an optical disk, etc., including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or some parts of the embodiments.

[0076] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit it. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims

1. A garbage removal method based on artificial intelligence, characterized in that: The following steps are involved: S101, a sensor installed on the garbage collection device monitors in real time whether the garbage in the garbage collection device reaches a removal threshold. If the removal threshold is reached, the garbage collection device sends the removal data to the platform; S102, the platform forms a transportation order according to the transportation data, and sends the transportation order to the transportation end, and the part-time transportation staff determines whether to grab the order at the transportation end according to the transportation order. If no part-time transportation staff grabs the order, step S103 is executed; if the part-time transportation staff grabs the order, step S104 is executed; S103, if the platform does not receive any feedback from the part-time transporter within the first preset time and the preset number of times that the order is grabbed, the platform sends the transport order to the transport end of the full-time transporter, and the full-time transporter goes to the garbage recycling equipment for transport according to the first route and the second preset time sent by the platform; S104, the part-time cleaning personnel go to the garbage recycling equipment for cleaning according to the second route and the third preset time sent by the platform; S105, after the part-time / full-time removal personnel complete the cleaning, they transport the garbage to the garbage collection point along the second route within the fourth predetermined time, and upload the removal information from the removal end to the platform. The management personnel conduct a comprehensive review based on the first removal information uploaded by the garbage recycling equipment, the second removal information uploaded by the part-time / full-time removal personnel, and the platform's monitoring information. If the review is passed, the income from this removal work will be distributed to the part-time / full-time removal personnel.

2. The artificial intelligence-based garbage removal method according to claim 1, characterized in that: The removal order includes: equipment location, garbage type, removal vehicle type, and estimated revenue.

3. The garbage removal method based on artificial intelligence as claimed in claim 2, characterized in that: After the part-time / full-time cleaning personnel have completed the cleaning, they will transport the garbage to the garbage collection point along the second route within the fourth predetermined time, specifically including: S201, the platform determines multiple matching garbage collection points according to the garbage type; S202, constructing an adjacency matrix for any of the garbage collection points, using the location of the garbage collection equipment, the location of the garbage collection point, the starting point and end point of each road, and the intersection of each road as nodes of the adjacency matrix; S203, obtaining the real-time conditions of roads corresponding to any two nodes in the adjacency matrix, and determining the weight between any two nodes in the adjacency matrix; S204, calculating the optimal route from the garbage collection device to each matching garbage collection point based on the constructed adjacency matrix and the determined weights between the nodes; S205, selecting a second route from multiple optimal routes, calculating a fourth scheduled time, and sending it to the removal end, and the part-time removal personnel / full-time removal personnel transport the garbage to the garbage collection point according to the second route within the fourth scheduled time.

4. The artificial intelligence-based garbage removal method according to claim 3, characterized in that: The real-time road condition includes one or more of the following factors: road surface condition, road length, and congestion level.

5. An electronic device, characterized in that: The method comprises at least one processor, at least one memory and computer program instructions stored in the memory. When the computer program instructions are executed by the processor, the artificial intelligence-based garbage removal method as described in any one of claims 1 to 4 is implemented.

6. A storage medium, characterized in that: Computer program instructions are stored thereon, and when the computer program instructions are executed by a processor, an artificial intelligence-based garbage removal method as described in any one of claims 1-4 is implemented.

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