A smart emergency service platform system for urban and rural sanitation

Abstract

The present invention relates to the field of urban and rural sanitation service platforms, and in particular to an intelligent urban and rural sanitation emergency service platform system, comprising: a Beidou remote sensing image platform, which uses a road recognition model and a garbage recognition model to identify urban and rural road sections and garbage-occupied roads in Beidou satellite real-time remote sensing images, and generate annotated real-time remote sensing images; a sanitation service cloud platform, which communicates with the Beidou remote sensing image platform through a network, determines the traversable area and transfer equipment based on the annotated real-time remote sensing images, and then calculates the recommended weight of each transfer equipment within a set range of the garbage-occupied road point based on the garbage type, the current carrying capacity of the transfer equipment, and the matching degree between the transfer equipment and the garbage-occupied road scene. Based on the recommended weights of the transfer plans in the transfer plan set, the optimal transfer plan is determined to implement emergency transfer service management for urban and rural road garbage. The present invention realizes scientific decision-making and deployment of garbage emergency plans based on remote sensing images.

Description

Technical Field

[0001] The present invention relates to the field of urban and rural sanitation service platforms, and in particular to an urban and rural sanitation intelligent emergency service platform system. Background Art

[0002] The urban and rural sanitation intelligent service platform system uses cloud computing, big data, the Internet of Things, the Internet and other technologies to collect, mine, analyze and process data through intelligent terminal sensing devices. Through the Internet or mobile Internet, a unified management information sharing platform is built to achieve real-time supervision of the entire process of people, vehicles, objects and events involved in sanitation management, improve the quality of sanitation operations and reduce sanitation operating costs.

[0003] At present, the urban and rural sanitation intelligent service platform system faces many problems such as large number of people, vehicles, tasks, facilities, high operating costs, low operating efficiency, and untimely cleaning and transportation. Especially when faced with sudden garbage blocking incidents on urban and rural roads, it is impossible to make scientific decisions and efficiently transport garbage.

[0004] For example, the invention document with application number 201911252310.1 discloses a construction waste transfer supervision and management information system, which does not involve the Beidou remote sensing image platform and cannot make scientific decisions on waste transfer based on remote sensing images.

[0005] Therefore, how to make scientific decisions and deployment of garbage emergency plans based on remote sensing images when sudden garbage blocking the road occurs is a technical problem that needs to be solved. Summary of the Invention

[0006] To this end, the present invention provides an intelligent urban and rural sanitation emergency service platform system, which uses Beidou remote sensing images to more accurately determine the garbage-occupied areas, garbage types, garbage-occupied scenes and urban and rural road areas through road recognition models and garbage recognition models. By interconnecting the sanitation service cloud platform with the Beidou remote sensing image platform and analyzing the Beidou remote sensing images, scientific decision-making and deployment of garbage emergency plans based on remote sensing images are achieved.

[0007] To achieve the above objectives, the present invention proposes an urban and rural sanitation intelligent emergency service platform system, comprising:

[0008] A BeiDou remote sensing image platform is configured to identify urban and rural road sections in BeiDou satellite real-time remote sensing images using a road recognition model, and to identify garbage-occupied roads in these urban and rural road sections using a garbage recognition model. The BeiDou remote sensing image platform is further configured to output annotated real-time remote sensing images based on the identified garbage-occupied roads. The information in the annotated real-time remote sensing images includes annotated garbage-occupied road areas, garbage types, garbage-occupied road scenes, and urban and rural road areas.

[0009] The sanitation service cloud platform is connected to the Beidou remote sensing image platform and is used to determine the passable area of urban and rural roads based on the garbage-occupied road area and the urban and rural road area in the annotated real-time remote sensing image, and to determine the transfer equipment capable of transferring garbage based on the passable area;

[0010] The sanitation service cloud platform is also used to determine the recommended weight of each transferable equipment within a set range of the garbage occupying the road point according to the garbage type, the current carrying capacity of the transferable equipment and the matching degree between the transferable equipment and the garbage occupying the road scene, and to determine the optimal transfer plan based on the recommended weights of multiple transfer plans in the transfer plan set; wherein, the transferable equipment includes at least one type of compressed closed garbage trucks, garbage transfer trucks, garbage transfer electric tricycles and small sanitation robots.

[0011] Furthermore, the sanitation service cloud platform is used to determine a candidate station, wherein the candidate station is a garbage station / transfer station whose four-dimensional set range of the garbage location on the road overlaps with the service area of the garbage station / transfer station, and the four-dimensional set range is proportional to the garbage area on the road;

[0012] The sanitation service cloud platform is also used to determine the transferable equipment, which is the transfer equipment equipped with the station to be selected.

[0013] In the above solution, dynamic adjustment of the transfer equipment to be selected is achieved.

[0014] Furthermore, the sanitation service cloud platform determines whether to select the arrival disposal solution set or the transfer solution set based on the garbage occupying road area, the garbage occupying road scene, and the time period when the garbage occupying road occurs;

[0015] The sanitation service cloud platform is used to determine the optimal arrival and disposal plan when selecting the arrival and disposal plan set. The optimal arrival and disposal plan is the one with the shortest predicted arrival time in the arrival and disposal plan set. The predicted arrival time is determined based on the predicted arrival speed of the transferable equipment and the distance to the garbage road-occupying point.

[0016] Furthermore, the sanitation service cloud platform determines that the road occupation scene is an urban road and the time period is a peak traffic period, and then determines to use the arrival disposal solution set;

[0017] The sanitation service cloud platform determines that the road occupation scene is an urban road and the time period is a non-road traffic peak period, then determines to select the arrival disposal plan set based on whether the garbage road occupation area exceeds the severity value, wherein the severity value is proportional to the urban and rural road area.

[0018] Furthermore, the sanitation service cloud platform determines that the road occupation scene is a township road and the garbage occupying area reaches the serious value, then determines to use the arrival disposal solution set;

[0019] The sanitation service cloud platform determines that the road occupation scene is a township road and the garbage occupying area has not reached the serious value, and then determines to use the transfer solution set.

[0020] The above plan implements scientific decision-making to give priority to the emergency disposal or emergency transfer of road-blocking garbage.

[0021] Furthermore, the sanitation service cloud platform is used to determine whether the transfer plan set is a small-volume, multi-vehicle, multi-time plan set or a large-volume, single-time plan set according to the time period when the garbage occupying the road occurs;

[0022] The sanitation service cloud platform is also used to select the candidate transfer equipment whose current carrying capacity exceeds the predicted transfer volume as the transferable equipment. The predicted transfer volume is determined by the product of the volume parameter and the area occupied by the garbage on the road. The volume parameter is determined according to the type of garbage.

[0023] Furthermore, when the sanitation service cloud platform determines that the garbage-occupying-road scene is an urban road, the matching degree of the transferable equipment with the garbage-occupying-road scene is, from greatest to least, a small sanitation robot, a garbage transfer electric tricycle, a garbage transfer truck, and a compressed closed garbage truck;

[0024] When the sanitation service cloud platform determines that the garbage-occupying road scene is a township road, the matching degree of the transportable equipment with the garbage-occupying road scene is, from greatest to least, a garbage transfer electric tricycle, a garbage transfer truck, a small sanitation robot, and a compressed closed garbage truck;

[0025] The sanitation service cloud platform determines the transfer urgency based on the garbage type, where the garbage types corresponding to the transfer urgency, in descending order, are vehicle spills, broken plants, agricultural garbage, and domestic garbage;

[0026] The recommendation weight is the sum of the transfer urgency, the matching degree and the current transport capacity.

[0027] Furthermore, the road recognition model and the garbage recognition model are multiple neural network recognition models based on the YOLOV1 pixel-by-pixel target detection algorithm under different weather conditions built on the Beidou remote sensing image platform, and the different weather conditions include cloudy, sunny and rainy days.

[0028] Furthermore, the sanitation service cloud platform determines the transportation route of the road-blocking garbage received by the transferable equipment based on the real-time receiving capacity of the selected station.

[0029] Furthermore, the sanitation service cloud platform communicates with the sanitation worker's client through an Internet connection, and displays the annotated real-time remote sensing image and the optimal transfer plan on the client.

[0030] The above plan realizes the scientific deployment of emergency garbage transportation.

[0031] Compared with the prior art, the present invention has the following advantages:

[0032] 1. By using Beidou remote sensing images and road and garbage identification models, we can more accurately determine the garbage-occupied areas, garbage types, garbage-occupied scenarios, and urban and rural road areas. By interconnecting the sanitation service cloud platform with the Beidou remote sensing image platform and analyzing Beidou remote sensing images, we can achieve scientific decision-making and deployment of garbage emergency plans based on remote sensing images.

[0033] 2. Realized the dynamic adjustment of the transfer equipment to be selected.

[0034] 3. Achieve scientific decision-making on giving priority to emergency disposal or emergency transportation of road-blocking garbage.

[0035] 4. Realized the scientific deployment of emergency garbage transportation. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] Figure 1 This is a schematic diagram of the structure of the urban and rural sanitation intelligent emergency service platform system according to an embodiment of the present invention;

[0037] Figure 2 This is a flow chart of the urban and rural sanitation intelligent emergency service platform system according to an embodiment of the present invention;

[0038] Figure 3 Schematic diagram of recognition results of a road recognition model according to an embodiment of the present invention;

[0039] Figure 4 Schematic diagram of the recognition results of the road recognition model and the garbage recognition model according to an embodiment of the present invention. DETAILED DESCRIPTION

[0040] In order to make the objects and advantages of the present invention more clearly understood, the present invention is further described below in conjunction with embodiments; it should be understood that the specific embodiments described herein are merely used to explain the present invention and are not intended to limit the present invention.

[0041] The preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are only used to explain the technical principles of the present invention and are not intended to limit the scope of protection of the present invention.

[0042] It should be noted that, in the description of the present invention, terms such as "up", "down", "left", "right", "inside", and "outside" indicating directions or positional relationships are based on the directions or positional relationships shown in the accompanying drawings. This is only for the convenience of description and does not indicate or imply that the device or element must have a specific orientation, be constructed and operated in a specific orientation. Therefore, it cannot be understood as a limitation on the present invention.

[0043] Furthermore, it should be noted that, in the description of the present invention, unless otherwise expressly specified or limited, the terms "mounted," "connected," and "connected" should be understood in a broad sense. For example, they may refer to fixed connections, detachable connections, or integral connections; mechanical connections or electrical connections; direct connections or indirect connections through an intermediate medium; and internal communication between two components. Those skilled in the art will understand the specific meanings of the above terms in the present invention based on specific circumstances.

[0044] like Figures 1 to 4 As shown, the present invention provides an intelligent urban and rural sanitation emergency service platform system, which uses Beidou remote sensing images to more accurately determine the garbage-occupied road areas, garbage types, garbage-occupied road scenes and urban and rural road areas through road recognition models and garbage recognition models. By interconnecting the sanitation service cloud platform with the Beidou remote sensing image platform and analyzing the Beidou remote sensing images, scientific decision-making and deployment of garbage emergency plans based on remote sensing images are realized.

[0045] in, Figure 1 This is a schematic diagram of the structure of the urban and rural sanitation intelligent emergency service platform system according to an embodiment of the present invention; Figure 2 This is a flow chart of the urban and rural sanitation intelligent emergency service platform system according to an embodiment of the present invention;

[0046] Figure 3 Schematic diagram of recognition results of a road recognition model according to an embodiment of the present invention; Figure 4 Schematic diagram of the recognition results of the road recognition model and the garbage recognition model according to an embodiment of the present invention.

[0047] Example 1:

[0048] like Figures 1 to 4 As shown, this embodiment proposes an intelligent urban and rural sanitation emergency service platform system, including: a Beidou remote sensing image platform, which is used to input real-time remote sensing images from Beidou satellites into a road recognition model, determine local remote sensing images of urban and rural roads in the real-time remote sensing images, input the local remote sensing images of urban and rural roads into a garbage recognition model, determine whether there is garbage occupying the urban and rural roads, and if so, generate a labeled real-time remote sensing image that is labeled with garbage occupying the road area, garbage type, garbage occupying scene, and urban and rural road area, and transmit the labeled real-time remote sensing image online;

[0049] The sanitation service cloud platform is connected to the Beidou remote sensing image platform and communicates with the platform. The platform calculates the passable area of urban and rural roads based on the garbage-occupied road area and the urban and rural road area in the annotated real-time remote sensing image. The platform determines transfer equipment capable of transferring garbage based on the passable area, and determines the optimal disposal plan based on the passable area.

[0050] The sanitation service cloud platform also calculates the recommended weight of each transferable device within a set range of the garbage occupying point based on the garbage type, the current carrying capacity of the transferable device, and the matching degree between the transferable device and the garbage occupying scene. The optimal transfer plan is determined based on the recommended weights of the multiple transfer plans in the transfer plan set, so as to realize the service management of emergency decision-making and dispatching of urban and rural road garbage.

[0051] Among them, the transferable equipment includes at least one type of compressed closed garbage truck, garbage transfer truck, garbage transfer electric tricycle and small sanitation robot.

[0052] It should be noted that the small sanitation robots include manned and unmanned intelligent fully wired-controlled integrated cleaning robots, which can be equipped with an optional external garbage rack to transfer small amounts of garbage.

[0053] It is understandable that on urban and rural roads, if the trunk of a private car is not closed tightly, the cargo box of a truck is not closed tightly, heavy rain or strong wind causes trees to break, etc., it will lead to garbage that cannot be easily removed and occupies a large area of the road. At this time, the sanitation department needs to carry out emergency disposal. If the roadside cannot accommodate the garbage, it needs to be urgently transferred to a garbage station or transfer station to reduce the impact on road traffic, which is in line with the current needs for intelligent, refined, visual and automated management of sanitation.

[0054] Furthermore, the road recognition model and the garbage recognition model are multiple neural network recognition models based on the YOLOV1 pixel-by-pixel target detection algorithm under different weather conditions built on the Beidou remote sensing image platform, and the different weather conditions include cloudy, sunny and rainy days.

[0055] It can be understood that the brightness of remote sensing images varies under different weather conditions. Therefore, more accurate judgments can be achieved through specialized models for different weather conditions.

[0056] It is understandable that the training samples of the road recognition model and the garbage recognition model are standardized by the local sanitation department, so they can make accurate judgments that conform to the actual conditions of local roads and garbage.

[0057] Specifically, the road recognition model and the garbage recognition model include an input end for improving the generalization performance of the network, a BackBone backbone network using the Mix activation function, a Neck connection structure that directly pools feature maps of any size and aggregates parameters to achieve target detection, and a Head output layer that outputs the target detection results.

[0058] Specifically, the BeiDou remote sensing image platform is the PIE-Engine platform of the PIE-LBI (PIE ESAT Locatio n Based Inter igence) integrated Internet of Things intelligent service platform, which is equipped with a variety of neural network models for processing real-time remote sensing images and can perform visual output of processing results. Compared with other remote sensing image platforms, the BeiDou remote sensing image platform is based on the Kubernetes containerized deployment method to achieve elastic scalability of processing capabilities, apply cloud intelligent computing power and database slicing technology, and combine the BeiDou massive data scale and application service content to achieve rapid processing response under dynamic scaling of service capabilities. Through the multi-terminal operation function of the BeiDou remote sensing image platform, it can be interconnected with the sanitation service cloud platform.

[0059] Furthermore, the real-time remote sensing image is a high-resolution remote sensing image;

[0060] After obtaining the annotated real-time remote sensing image, the sanitation service cloud platform cuts it into service areas of garbage stations / transfer stations, selects garbage stations / transfer stations corresponding to the service areas that overlap with the location of the garbage occupying the road in the annotated real-time remote sensing image within the four set ranges as candidate stations, sets the transfer equipment supporting the candidate stations as candidate transfer equipment, and selects transfer equipment capable of garbage transfer from the candidate transfer equipment based on the degree of passability; wherein, the four set ranges are proportional to the area of the garbage occupying the road.

[0061] The real-time remote sensing image is preferably 2 meters, that is, the width or length of the road-blocking garbage must be greater than 2 meters. Garbage less than 1 meter is not worth emergency transportation or emergency disposal and can be handled in daily sanitation work.

[0062] It can be understood that the larger the area occupied by the garbage on the road, the larger the volume of the garbage may be, requiring larger capacity transfer equipment, and thus a larger area needs to be searched. When the volume of the garbage is small, by setting a smaller four-dimensional setting range, the area for search and judgment can be reduced, thereby reducing the required computing power and achieving a reasonable allocation of server resources on the sanitation service cloud platform.

[0063] In the above solution, dynamic adjustment of the transfer equipment to be selected is achieved.

[0064] The BeiDou remote sensing image platform can also achieve high-precision BeiDou positioning for mobile terminals based on BeiDou / GNSS observation data and navigation messages, combined with enhanced correction information broadcast by RTK, CORS, PPP, and other technologies, enabling real-time location information for sanitation transfer equipment. The system collects a variety of data types, including location, video, text, and numbers. The data formats are diverse, the structures are complex, the data volume is large, and the value density is low. Based on Aerospace Hongtu's independently developed distributed file storage service cloud platform, PI E-CFS, the BeiDou remote sensing image platform is specifically designed for multi-source heterogeneous data, with customized data preprocessing strategies, redundant data cleaning, feature data retention, and optimized data storage. It supports the storage and management of petabyte-level data. It also constructs a spatiotemporal data index to enable rapid retrieval of various data resources, with a response time of less than 5 seconds for reading millions of data points. During the garbage transfer process, resource scheduling and management mainly revolves around the changes in the status of garbage occupying the road. Various means (including real-time remote sensing images and on-site images taken by arriving personnel) are used to timely and accurately grasp the status of garbage occupying the road, driving the dynamic scheduling of transfer equipment; through the long-term operation of the system, a large amount of monitoring data on the status of garbage occupying the road is accumulated, and the time series regression analysis-autoregressive model technology is used to predict the changes in the status of garbage occupying the road, assist in the reasonable planning of transportation forces, and shift from post-transfer to pre-transfer warning, to achieve orderly and efficient operation of the emergency garbage transfer process.

[0065] Furthermore, the sanitation service cloud platform determines the transportation route of the road-blocking garbage received by the transferable equipment based on the real-time receiving capacity of the selected station.

[0066] It is understandable that since the information such as transfer stations, garbage stations, transfer equipment locations, sanitation personnel clients, etc. on the sanitation service cloud platform is confidential, the sanitation service cloud platform will encrypt the garbage station or transfer station with the optimal transfer plan as the end point and send it to the Beidou remote sensing image platform. The Beidou remote sensing image platform will use the road-blocking garbage as the starting point and determine the transportation route through the path planning algorithm.

[0067] Furthermore, the sanitation service cloud platform determines whether to use the arrival disposal solution set or the transfer solution set based on the garbage road-occupying area, the garbage road-occupying scene and the time period when garbage road-occupying occurs; when the sanitation service cloud platform selects the arrival disposal solution set, it determines the predicted arrival speed of the transfer equipment to be selected based on the passable area, calculates the predicted arrival time based on the product of the predicted arrival speed and the distance between the transfer equipment to be selected and the garbage road-occupying point, and selects the one with the shortest predicted arrival time in the arrival disposal solution set as the optimal arrival disposal solution.

[0068] Specifically, the sanitation service cloud platform determines a traffic coefficient based on the traversable area. Specifically, the traversable area is divided by the standard lane width of 2.3 meters to obtain the traffic width. The traffic width (in meters) is multiplied by 0.1 as the traffic coefficient. The average operating speed of the selected transfer equipment is multiplied by the traffic coefficient to obtain the predicted arrival speed. It can be understood that determining the traffic coefficient based on the traffic width with a unit of 0.1 meter as a percentage can roughly reflect the traffic conditions during congestion.

[0069] Therefore, emergency deployment of roadside garbage disposal personnel or equipment is required.

[0070] Furthermore, the sanitation service cloud platform determines that the road occupation scene is an urban road and the time period is a peak traffic period, and then determines to use the arrival disposal solution set;

[0071] The sanitation service cloud platform determines that the road occupation scenario is an urban road and the time period is not a peak traffic period, and then determines whether the garbage road occupation area exceeds a serious value to select the arrival disposal solution set or the transfer solution set;

[0072] The sanitation service cloud platform determines that the road occupation scene is a township road and the garbage occupation area reaches the serious value, then determines to use the arrival disposal solution set;

[0073] The sanitation service cloud platform determines that the road occupation scene is a township road and the garbage road occupation area does not reach the serious value, and then determines to use the transfer solution set;

[0074] The severity value is proportional to the area of the urban and rural roads.

[0075] The above plan implements scientific decision-making to give priority to the emergency disposal or emergency transfer of road-blocking garbage.

[0076] Furthermore, the sanitation service cloud platform determines the corresponding volume parameter according to the garbage type, takes the product of the volume parameter and the garbage occupied road area as the predicted transfer volume, selects the candidate transfer equipment whose current carrying capacity exceeds the predicted transfer volume as the transferable equipment, and determines the transfer plan set as a small-volume multi-vehicle multi-time plan set or a large-volume single-time plan set according to the time period when the garbage occupies the road.

[0077] Specifically, when the transfer solution set is a small-volume, multi-vehicle, multi-trip solution set, the recommendation weight of each solution in the transfer solution set is the median value of the recommendation weights of the multiple vehicles divided by the initial recommendation weight of a single vehicle, thereby reflecting the overall recommendation degree of the solution. When the transfer solution set is a large-volume, single-trip solution set, the recommendation weight of each solution in the transfer solution set is the recommendation weight of the single device.

[0078] Furthermore, when the sanitation service cloud platform determines that the garbage-occupying-road scene is an urban road, the matching degree of the transferable equipment with the garbage-occupying-road scene is, from greatest to least, a small sanitation robot, a garbage transfer electric tricycle, a garbage transfer truck, and a compressed closed garbage truck;

[0079] When the sanitation service cloud platform determines that the garbage-occupying-road scene is a township road, the matching degree between the transferable equipment and the garbage-occupying-road scene is, from large to small, a garbage transfer electric tricycle, a garbage transfer truck, a small sanitation robot, and a compressed closed garbage truck.

[0080] Furthermore, the sanitation service cloud platform determines the urgency of transfer according to the type of garbage, and the types of garbage corresponding to the urgency of transfer from greatest to least are vehicle litter, broken plants, agricultural garbage, and domestic garbage.

[0081] The recommendation weight is the sum of the transfer urgency, the matching degree and the current transport capacity.

[0082] Specifically, the setting value of the transfer urgency can refer to the following table:

[0083] Type of garbage Transfer urgency value Scattered sand and gravel, or spilled objects that occupy an area greater than 3 square meters on the road 11 Broken plants that occupy a road area greater than 3 square meters 10 Broken plants occupying a road area of 3 square meters or less 7 Agricultural waste that occupies an area of more than 3 square meters on the road 5 Agricultural waste that occupies an area of 3 square meters or less, and all domestic waste 1

[0084] Specifically, the setting value of the matching degree can refer to the following table:

[0085] Urban roads:

[0086] Transfer equipment type The matching degree between the transfer equipment and the garbage occupying the road scene Small sanitation robot 6 Garbage transfer electric tricycle 5 Garbage transfer trucks 2 Compression type closed garbage truck 1

[0087] Township roads:

[0088]

[0089]

[0090] Specifically, the current carrying capacity is the highest integer calculated by subtracting the current carrying capacity from the total carrying capacity. For example, if a small sanitation robot with a total carrying capacity of 130 liters is currently carrying 100 liters of garbage, the current carrying capacity is recorded as 0.3. For example, if a garbage transfer electric tricycle with a total carrying capacity of 2500 liters is currently carrying 1000 liters of garbage, the current carrying capacity is recorded as 1.5. Because the decision to use a small-volume, multi-vehicle, multiple-trip solution set or a large-volume, single-trip solution set has already been made before the recommendation weight is calculated, the differences in carrying capacity between different transfer equipment types can be ignored here.

[0091] Furthermore, the sanitation service cloud platform communicates with the sanitation worker's client through an Internet connection, and displays the annotated real-time remote sensing image and the optimal transfer solution on the client.

[0092] Furthermore, the client has a situation feedback window, which allows sanitation workers on site to provide feedback on on-site images, so that the sanitation service cloud platform can share a clearer and more three-dimensional picture of the on-site situation. When the sanitation service cloud platform receives an emergency transfer instruction from the client or PC, it performs the above-mentioned judgment to generate the optimal transfer plan.

[0093] In the above plan, through the multi-dimensional integration of facilities, people, vehicles, objects, events, and actual operations, the overall sanitation operation situation is intuitively displayed through digital maps and data dashboards, realizing full-screen visualization and digital management of smart sanitation operations, and achieving scientific deployment of emergency garbage transportation.

[0094] In this implementation, BeiDou remote sensing imagery, road identification models, and garbage identification models are used to more accurately determine the areas of garbage congestion on urban and rural roads, garbage types, garbage congestion scenarios, and the total area of urban and rural roads. By connecting the sanitation service cloud platform with the BeiDou remote sensing imagery platform and analyzing BeiDou remote sensing imagery, scientific decision-making and deployment of emergency garbage disposal plans based on remote sensing imagery are achieved. This allows for dynamic adjustment of selected transfer equipment, scientific decision-making on which garbage congestion should be prioritized for emergency disposal or transfer, and scientific deployment of emergency garbage transfer.

[0095] Thus far, the technical solutions of the present invention have been described in conjunction with the preferred embodiments shown in the accompanying drawings. However, it will be readily understood by those skilled in the art that the scope of protection of the present invention is obviously not limited to these specific embodiments. Without departing from the principles of the present invention, those skilled in the art may make equivalent changes or substitutions to the relevant technical features, and the technical solutions after such changes or substitutions will fall within the scope of protection of the present invention.

[0096] The foregoing description is merely a preferred embodiment of the present invention and is not intended to limit the present invention. Those skilled in the art will readily appreciate that the present invention is susceptible to various modifications and variations. Any modifications, equivalent substitutions, or improvements made within the spirit and principles of the present invention are intended to be within the scope of protection of the present invention.

Claims

1. A smart urban and rural sanitation emergency service platform system, characterized by: include: A BeiDou remote sensing image platform is configured to identify urban and rural road sections in BeiDou satellite real-time remote sensing images using a road recognition model, and to identify garbage-occupied roads in these urban and rural road sections using a garbage recognition model. The BeiDou remote sensing image platform is further configured to output annotated real-time remote sensing images based on the identified garbage-occupied roads. The information in the annotated real-time remote sensing images includes annotated garbage-occupied road areas, garbage types, garbage-occupied road scenes, and urban and rural road areas. The sanitation service cloud platform is connected to the Beidou remote sensing image platform and is used to determine the passable area of urban and rural roads based on the garbage-occupied road area and the urban and rural road area in the annotated real-time remote sensing image, and to determine the transfer equipment capable of transferring garbage based on the passable area; The sanitation service cloud platform is further configured to determine a recommended weight for each transferable device within a set range of the garbage occupying the road location based on the garbage type, the current carrying capacity of the transferable device, and the matching degree between the transferable device and the garbage occupying the road scenario, and to determine an optimal transfer solution based on the recommended weights of the transferable devices involved in multiple transfer solutions in the transfer solution set; wherein the transferable device includes at least one of a compressed enclosed garbage truck, a garbage transfer truck, a garbage transfer electric tricycle, and a small sanitation robot; The sanitation service cloud platform is used to determine a candidate station, wherein the candidate station is a garbage station / transfer station whose set range of boundaries overlaps with the service area of the garbage station / transfer station, and the set range of boundaries is proportional to the area of the garbage occupied road; The sanitation service cloud platform is also used to determine the transferable equipment, which is the transfer equipment equipped with the station to be selected.

2. The urban and rural sanitation intelligent emergency service platform system according to claim 1 is characterized in that: The sanitation service cloud platform determines whether to select the arrival disposal solution set or the transfer solution set based on the garbage occupying road area, the garbage occupying road scene, and the time period when the garbage occupying the road occurs; The sanitation service cloud platform is used to determine the optimal arrival and disposal plan when selecting the arrival and disposal plan set. The optimal arrival and disposal plan is the one with the shortest predicted arrival time in the arrival and disposal plan set. The predicted arrival time is determined based on the predicted arrival speed of the transferable equipment and the distance to the garbage road-occupying point.

3. The urban and rural sanitation intelligent emergency service platform system according to claim 2 is characterized in that: The sanitation service cloud platform determines that the road occupation scene is an urban road and the time period is a peak traffic period, and then determines to use the arrival disposal solution set; The sanitation service cloud platform determines that the road occupation scene is an urban road and the time period is a non-road traffic peak period, then determines to select the arrival disposal plan set based on whether the garbage road occupation area exceeds the severity value, wherein the severity value is proportional to the urban and rural road area.

4. The urban and rural sanitation intelligent emergency service platform system according to claim 3 is characterized in that: The sanitation service cloud platform determines that the road occupation scene is a township road and the garbage occupation area reaches the serious value, then determines to use the arrival disposal solution set; The sanitation service cloud platform determines that the road occupation scene is a township road and the garbage occupying area has not reached the serious value, and then determines to use the transfer solution set.

5. The urban and rural sanitation intelligent emergency service platform system according to claim 2 is characterized in that: The sanitation service cloud platform is used to determine whether the transfer plan set is a small-volume, multi-vehicle, multi-time plan set or a large-volume, single-time plan set according to the time period when garbage occupying the road occurs; The sanitation service cloud platform is also used to select the candidate transfer equipment whose current carrying capacity exceeds the predicted transfer volume as the transferable equipment. The predicted transfer volume is determined by the product of a volume parameter and the area occupied by the garbage on the road. The volume parameter is determined according to the type of garbage.

6. The urban and rural sanitation intelligent emergency service platform system according to claim 5 is characterized in that: When the sanitation service cloud platform determines that the garbage-occupying-road scene is an urban road, the matching degree of the transferable equipment with the garbage-occupying-road scene is, from greatest to least, a small sanitation robot, a garbage transfer electric tricycle, a garbage transfer truck, and a compressed closed garbage truck; When the sanitation service cloud platform determines that the garbage-occupying road scene is a township road, the matching degree of the transportable equipment with the garbage-occupying road scene is, from greatest to least, a garbage transfer electric tricycle, a garbage transfer truck, a small sanitation robot, and a compressed closed garbage truck; The sanitation service cloud platform determines the transfer urgency based on the garbage type, where the garbage types corresponding to the transfer urgency, in descending order, are vehicle spills, broken plants, agricultural garbage, and domestic garbage; The recommendation weight is the sum of the transfer urgency, the matching degree and the current transport capacity.

7. The urban and rural sanitation intelligent emergency service platform system according to any one of claims 1 to 6, characterized in that: The road recognition model and the garbage recognition model are multiple neural network recognition models based on the YOLOV1 pixel-by-pixel target detection algorithm under different weather conditions, which are built on the Beidou remote sensing image platform. The different weather conditions include cloudy, sunny and rainy days.

8. The urban and rural sanitation intelligent emergency service platform system according to any one of claims 1 to 6, characterized in that: The sanitation service cloud platform determines the transportation route of the transportable equipment after receiving the road-blocking garbage based on the real-time receiving capacity of the selected station.

9. The urban and rural sanitation intelligent emergency service platform system according to any one of claims 1 to 6, characterized in that: The sanitation service cloud platform communicates with the client of the sanitation personnel through an internet connection, and displays the annotated real-time remote sensing image and the optimal transfer solution on the client.

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