Urban and rural environmental sanitation intelligent emergency service platform system

Abstract

The invention relates to the field of urban and rural environmental sanitation service platforms, in particular to an urban and rural environmental sanitation intelligent emergency service platform system, which comprises a Beidou remote sensing image platform for recognizing urban and rural road parts and garbage roads in real-time remote sensing images of Beidou satellites through a road recognition model and a garbage recognition model, and generating labeled real-time remote sensing images; and the environmental sanitation service cloud platform is in networking communication with the Beidou remote sensing image platform, determines a passable area and transportable equipment according to the marked real-time remote sensing image, and further determines the garbage type according to the garbage type, the current carrying capacity of the transportable equipment and the matching degree of the transportable equipment and the garbage road occupation scene. And respectively calculating the recommended weight of each transportable device in a set range from four to four of the garbage road-occupying point location, and determining an optimal transportation scheme according to the recommended weight of the transportation scheme of the transportation scheme set so as to realize emergency transportation service management of urban and rural road garbage. According to the invention, scientific decision allocation of the garbage emergency scheme based on the remote sensing image is realized.

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, and build a unified management information sharing platform through the Internet or mobile Internet 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 smart urban and rural sanitation service platform system faces many problems such as large number of people, vehicles, things to do, facilities, high operating costs, low operating efficiency, and untimely cleaning and transportation. Especially when faced with sudden garbage occupying incidents on urban and rural roads, it is impossible to make scientific decisions and transport garbage efficiently.

[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 emergency service platform system for urban and rural sanitation, 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. The sanitation service cloud platform is interconnected with the Beidou remote sensing image platform and the Beidou remote sensing images are analyzed to achieve scientific decision-making and deployment of garbage emergency plans based on remote sensing images.

[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 used to identify the urban and rural road parts in the real-time remote sensing images of Beidou satellites through a road recognition model, and to identify garbage occupying the road in the urban and rural road parts through a garbage recognition model; the Beidou remote sensing image platform is also used to output annotated real-time remote sensing images based on the identified garbage occupying the road; wherein the information in the annotated real-time remote sensing images includes annotated garbage occupying road areas, garbage types, garbage occupying road scenes and urban and rural road areas;

[0009] The sanitation service cloud platform is connected to the Beidou remote sensing image platform for networking and communication, and is used to determine the passable area of ​​urban and rural roads according to the garbage-occupied road area and the urban and rural road area in the annotated real-time remote sensing image, and to determine the transportable equipment that can carry out garbage transport according to 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 road-occupying point according to the garbage type, the current carrying capacity of the transferable equipment and the matching degree of the transferable equipment with the garbage road-occupying scene, as well as to determine the optimal transfer plan according to the recommended weights of multiple transfer plans in the transfer plan set; wherein the transferable equipment includes at least one of a compressed closed garbage truck, a garbage transfer truck, a garbage transfer electric tricycle and a small sanitation robot.

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

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

[0013] In the above scheme, 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 according to 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 transportable equipment and the distance to the garbage occupying road 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 not a peak period of road traffic. Then, based on whether the area of ​​garbage occupying the road exceeds the severity value, it determines to select the arrival disposal plan set, wherein the severity value is proportional to the area of ​​urban and rural roads.

[0018] Furthermore, the sanitation service cloud platform determines that the road occupation scene is a township road, and the garbage road occupation area reaches the serious value, and 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 road occupation area has not reached the serious value, then determines to use the transfer solution set.

[0020] In the above plan, scientific decision-making is achieved to give priority to emergency disposal or emergency transportation of road-blocking garbage.

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

[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 road area occupied by the garbage. The volume parameter is determined according to the type of garbage.

[0023] Furthermore, when the sanitation service cloud platform determines that the garbage occupying the road scene is an urban road, the matching degree of the transportable equipment with the garbage occupying the road scene is, from large to small, 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 the road scene is a township road, the matching degree of the transportable equipment with the garbage occupying the 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;

[0025] 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 large to small 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 days, sunny days and rainy days.

[0028] Furthermore, the sanitation service cloud platform determines the transportation route of the road-blocking garbage after the transferable equipment receives it according to the real-time receiving capacity of the selected station.

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

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

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

[0032] 1. Through Beidou remote sensing images, road recognition models and garbage recognition models, we can more accurately determine the garbage-occupying areas, garbage types, garbage-occupying scenes 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 selected transfer equipment.

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

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

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

[0037] Figure 2 A schematic diagram of the process of the urban and rural sanitation intelligent emergency service platform system according to an embodiment of the present invention;

[0038] Figure 3 A schematic diagram of a recognition result of a road recognition model according to an embodiment of the present invention;

[0039] Figure 4 Schematic diagram of recognition results of a road recognition model and a 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 only used to explain the present invention and are not used 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 protection scope 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 drawings. This is merely 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] In addition, it should be noted that in the description of the present invention, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two components. For those skilled in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

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

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

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

[0047] Embodiment 1:

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

[0049] The sanitation service cloud platform is connected to the Beidou remote sensing image platform for network communication, and calculates the passable area of ​​urban and rural roads according to the garbage-occupied road area and the urban and rural road area in the annotated real-time remote sensing image, determines the transportable equipment capable of transporting garbage according to the passable area, and determines the optimal arrival and disposal plan according to the passable area;

[0050] The sanitation service cloud platform also calculates the recommended weight of each transferable device within the set range of the garbage occupying road point according to the garbage type, the current carrying capacity of the transferable device and the matching degree between the transferable device and the garbage occupying road scene, and determines the optimal transfer plan for multiple transfer plans in the transfer plan set according to the recommended weights involved, 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 a compressed closed garbage truck, a garbage transfer truck, a garbage transfer electric tricycle and a small sanitation robot.

[0052] It should be noted that the small sanitation robot includes 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 trunks of private cars are not closed tightly, the cargo boxes of trucks are not closed tightly, heavy rain or strong winds cause trees to break, etc., there will be garbage on the road that cannot be easily removed and occupies a large area of ​​the road. At this time, the sanitation department needs to take emergency measures. If the roadside cannot accommodate the garbage, it needs to be urgently transferred to the garbage station or transfer station to reduce the impact on road traffic, which is in line with the current needs for intelligent, refined, visualized 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 days, sunny days and rainy days.

[0055] It is understandable that the brightness of remote sensing images varies under different weather conditions, so 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 a Mish activation function, a Neck connection structure that directly pools feature maps of any size to achieve target detection through parameter aggregation, and a Head output layer that outputs target detection results.

[0058] Specifically, the Beidou remote sensing image platform is the PI E-Engine platform of the PI E-LBI (PI ESAT Location Based Intelligence) 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 visualize the 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 Beidou's massive data scale and application service content to perform rapid processing responses 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 acquiring the annotated real-time remote sensing image, the sanitation service cloud platform cuts it according to the service areas of the garbage stations / transfer stations, selects the 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-boundary set range as the stations to be selected, sets the transfer equipment equipped with the stations to be selected as the transfer equipment to be selected, and selects the transferable equipment that can transfer garbage from the transfer equipment to be selected according to the degree of passability; wherein the four-boundary set range is 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 smaller, by setting a smaller setting range, the area for search and judgment can be reduced, thereby reducing the required computing power and achieving reasonable allocation of server resources on the sanitation service cloud platform.

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

[0064] The Beidou remote sensing image platform can also realize Beidou high-precision positioning of mobile terminals based on Beidou / GNSS observation data and navigation messages, combined with enhanced correction information broadcast by RTK, CORS, PPP, etc., and obtain the real-time position of sanitation transfer equipment in real time. The system collects various types of data such as location, video, text, and numbers. The data formats are diverse, the structure is complex, the data volume is large, and the value density is low. The Beidou remote sensing image platform is based on the distributed file storage service cloud platform PI E-CFS independently developed by Aerospace Hongtu. It is targeted at multi-source heterogeneous data, customizes data preprocessing strategies, cleans redundant data, retains feature data, optimizes data storage, and supports the storage and management of PB-level data; builds spatiotemporal data indexes to achieve rapid retrieval of various data resources. For the reading of millions of data points, the response time is less than 5 seconds. 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, and drive 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, so as to realize the 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 after the transferable equipment receives it according to 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 encrypts the garbage station or transfer station with the optimal transfer plan as the end point and sends it to the Beidou remote sensing image platform. The Beidou remote sensing image platform takes the road-blocking garbage as the starting point and determines 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 according to the garbage road-occupying area, the garbage road-occupying scene and the time period when the garbage road-occupying occurs; when the sanitation service cloud platform selects the arrival disposal solution set, it determines the predicted arrival speed of the selected transfer equipment according to the passable area, calculates the predicted arrival time according to the product of the predicted arrival speed and the distance between the selected transfer equipment and the garbage road-occupying point, and selects the arrival disposal solution with the shortest predicted arrival time as the optimal arrival disposal solution.

[0068] Specifically, the sanitation service cloud platform determines the pass coefficient according to the passable area, specifically dividing the passable area by the standard lane width of 2.3 meters to obtain the pass width, multiplying the pass width (in meters) by 0.1 as the pass coefficient, and multiplying the average operating speed of the selected transfer equipment by the pass coefficient to obtain the predicted arrival speed. It can be understood that determining the pass coefficient by taking the pass width as a percentage of 0.1 meters 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 scene is an urban road and the time period is a non-road traffic peak period, and then determines to select the arrival disposal solution set or the transfer solution set according to whether the garbage road occupation area exceeds the serious value;

[0072] The sanitation service cloud platform determines that the road occupation scene is a township road, and the garbage road occupation area reaches the serious value, and 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] Wherein, the severity value is proportional to the area of ​​the urban and rural roads.

[0075] In the above plan, scientific decision-making is achieved to give priority to emergency disposal or emergency transportation of road-blocking garbage.

[0076] Furthermore, the sanitation service cloud platform determines the volume parameter corresponding to the garbage type 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, and 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, and multi-time solution set, the recommended weight of each solution in the transfer solution set is the median value of the recommended weights of multiple vehicles / the initial recommended weight of a single vehicle, thereby reflecting the overall recommendation degree of the solution. When the transfer solution set is a large-volume, single-time solution set, the recommended weight of each solution in the transfer solution set is the recommended weight of the single device.

[0078] Furthermore, when the sanitation service cloud platform determines that the garbage occupying the road scene is an urban road, the matching degree of the transportable equipment with the garbage occupying the road scene is, from large to small, 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 the road scene is a township road, the matching degree of the transferable equipment and the garbage occupying the 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 large to small are vehicle spills, 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 occupying 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 a road area greater than 3 square meters 5 Agricultural waste and all domestic waste occupying an area of ​​3 square meters or less 1

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

[0085] Urban roads:

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

[0087] Township roads:

[0088]

[0089]

[0090] Specifically, the current carrying capacity is the highest integer of the difference between the total carrying capacity and the current carrying volume. For example, if a small sanitation robot with a total carrying capacity of 130 liters currently carries 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 currently carries 1000 liters of garbage, the current carrying capacity is recorded as 1.5. Before calculating the recommended weight, it has been determined whether to use a small-volume multi-vehicle multi-time solution set or a large-volume single-time solution set, the difference in carrying capacity between different types of transfer equipment can be ignored here.

[0091] Furthermore, the sanitation service cloud platform communicates with the sanitation personnel'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 can be used by sanitation workers on site to provide feedback on site images, so that the sanitation service cloud platform can share a more three-dimensional and clear 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 embodiment, the Beidou remote sensing images and road recognition models and garbage recognition models are used to determine more accurate garbage-occupying road areas, garbage types, garbage-occupying road scenes and urban and rural road areas. The environmental sanitation service cloud platform is interconnected with the Beidou remote sensing image platform and Beidou remote sensing images are analyzed to achieve scientific decision-making and deployment of garbage emergency plans based on remote sensing images. Dynamic adjustment of transfer equipment to be selected is achieved. Scientific decision-making on emergency disposal or emergency transfer of road-occupying garbage is achieved. Scientific deployment of emergency garbage transfer is achieved.

[0095] So far, the technical solutions of the present invention have been described in conjunction with the preferred embodiments shown in the accompanying drawings. However, it is easy for those skilled in the art to understand that the protection scope of the present invention is obviously not limited to these specific embodiments. Without departing from the principle of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will fall within the protection scope of the present invention.

[0096] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A smart urban and rural sanitation emergency service platform system, characterized in that: include: A Beidou remote sensing image platform is used to identify the urban and rural road parts in the real-time remote sensing images of Beidou satellites through a road recognition model, and to identify garbage occupying the road in the urban and rural road parts through a garbage recognition model; the Beidou remote sensing image platform is also used to output annotated real-time remote sensing images based on the identified garbage occupying the road; wherein the information in the annotated real-time remote sensing images includes annotated garbage occupying road areas, garbage types, garbage occupying road scenes and urban and rural road areas; The sanitation service cloud platform is connected to the Beidou remote sensing image platform for networking and communication, and is used to determine the passable area of ​​urban and rural roads according to the garbage-occupied road area and the urban and rural road area in the annotated real-time remote sensing image, and to determine the transportable equipment that can carry out garbage transport according to the passable area; The sanitation service cloud platform is also used to determine the recommended weight of each transferable equipment within a set range of the garbage road-occupying point according to the garbage type, the current carrying capacity of the transferable equipment and the matching degree of the transferable equipment with the garbage road-occupying scene, as well as to determine the optimal transfer plan according to the recommended weights of multiple transfer plans in the transfer plan set; wherein the transferable equipment includes at least one of a compressed closed garbage truck, a garbage transfer truck, a garbage transfer electric tricycle and a small sanitation robot.

2. The urban and rural sanitation intelligent emergency service platform system according to claim 1 is characterized in that: The sanitation service cloud platform is used to determine the candidate station, which is a garbage station / transfer station whose four-boundary setting range of the garbage occupying the road overlaps with the service area of ​​the garbage station / transfer station, and the four-boundary setting range is proportional to the garbage occupying the road area; The sanitation service cloud platform is also used to determine the transferable equipment, and the transferable equipment is the transfer equipment equipped with the station to be selected.

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 whether to select the arrival disposal solution set or the transfer solution set according to the garbage occupying road area, the garbage occupying road scene and the time period when the garbage occupying 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 transportable equipment and the distance to the garbage occupying road point.

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 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 not a peak period of road traffic. Then, based on whether the area of ​​garbage occupying the road exceeds the severity value, it determines to select the arrival disposal plan set, wherein the severity value is proportional to the area of ​​urban and rural roads.

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

6. The urban and rural sanitation intelligent emergency service platform system according to claim 3 is characterized in that: The sanitation service cloud platform is used to determine whether the transfer scheme set is a small-volume multi-vehicle multi-time scheme set or a large-volume single-time scheme set according to the time period when the garbage occupies the road; 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 road area occupied by the garbage. The volume parameter is determined according to the type of garbage.

7. The urban and rural sanitation intelligent emergency service platform system according to claim 6 is characterized in that: When the sanitation service cloud platform determines that the garbage occupying the road scene is an urban road, the matching degree between the transferable equipment and the garbage occupying the road scene is, from large to small, 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 the road scene is a township road, the matching degree of the transportable equipment with the garbage occupying the 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; 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 large to small 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.

8. The urban and rural sanitation intelligent emergency service platform system according to any one of claims 1 to 7, 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 built on the Beidou remote sensing image platform, and the different weather conditions include cloudy days, sunny days and rainy days.

9. The urban and rural sanitation intelligent emergency service platform system according to any one of claims 1 to 7, characterized in that: The sanitation service cloud platform determines the transportation route of the transportable equipment after receiving the road-blocking garbage according to the real-time receiving capacity of the selected station.

10. The urban and rural sanitation intelligent emergency service platform system according to any one of claims 1 to 7, 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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