CN115983504A - Road garbage point location prediction method, system, equipment and storage medium - Google Patents
Road garbage point location prediction method, system, equipment and storage medium Download PDFInfo
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Abstract
The application provides a road rubbish point location prediction method, a system, equipment and a storage medium. The method belongs to the field of garbage collection, and comprises the steps of obtaining seasons, roads, street trees, weather, inherent personnel, activities and garbage cans; determining a natural rubbish thermodynamic diagram of an area to be predicted based on seasons, street trees, weather and roads; determining an artificial rubbish thermodynamic diagram of an area to be predicted based on inherent personnel, seasons, activities, weather, trash cans and roads; and determining a road spam thermodynamic diagram of the area to be predicted based on the natural spam thermodynamic diagram and the artificial spam thermodynamic diagram. In this way, road trash can be predicted to some extent.
Description
Technical Field
The present application relates to the field of garbage collection, and more particularly, to a road garbage spot location prediction method, system, device, and storage medium.
Background
With the rapid development of social economy in China, the problems of further improving city grade, improving city image, beautifying city environment and the like become major problems in the front of governments, the improvement of environment and the optimization of city management, the establishment of new city images, the improvement of city grade and the promotion of civilized cities are the primary tasks of keeping cities clean and sanitary.
The vehicle or the cleaning personnel for cleaning the garbage cleans the garbage along the way according to a fixed route every day or every week. However, some roads are clean, some roads are dirty, some roads are all natural garbage such as fallen leaves, some roads are all construction garbage, and vehicles or cleaning personnel for cleaning the garbage are evenly distributed to the roads to be cleaned. Can lead to the inefficiency of rubbish management, cause rubbish to pile for a long time easily, rubbish overflows, indiscriminate pendulum and puts in disorder, can not get the rubbish of in time clearing and transporting and can bring not good living experience for the resident, cause environmental pollution simultaneously.
Disclosure of Invention
According to the embodiment of the application, a road rubbish point location prediction scheme is provided.
In a first aspect of the present application, a road garbage spot location prediction method is provided. The method comprises the following steps: acquiring seasons, roads, street trees, weather, inherent personnel, activities and garbage cans;
determining a natural rubbish thermodynamic diagram of an area to be predicted based on seasons, street trees, weather and roads;
determining an artificial rubbish thermodynamic diagram of an area to be predicted based on inherent personnel, seasons, activities, weather, trash cans and roads;
and determining a road garbage thermodynamic diagram of the area to be predicted based on the natural garbage thermodynamic diagram and the artificial garbage thermodynamic diagram.
According to the technical scheme, the method and the device are applied to road rubbish point location prediction, natural rubbish thermodynamic diagrams can be generated through seasons, street trees, weather and roads, artificial rubbish thermodynamic diagrams can be generated through inherent personnel, seasons, activities, weather, trash cans and roads, accordingly, the road rubbish thermodynamic diagrams are obtained, and distribution of road rubbish can be predicted to a certain degree.
In one possible implementation, the determining a natural garbage thermodynamic diagram of the area to be predicted based on seasons, road trees, weather and roads includes:
determining a fallen leaf rubbish thermodynamic diagram based on seasons, street trees, weather and roads;
determining a rain and snow rubbish thermodynamic diagram based on seasons and weather;
and determining a natural garbage thermodynamic diagram based on the fallen leaf garbage thermodynamic diagram and the rain and snow garbage thermodynamic diagram.
According to the technical scheme, the street trees on the two sides of the road can generate fallen leaves under the influence of seasons and weather, the fallen leaf rubbish thermodynamic diagrams are generated through the road and the fallen leaves, and the rain and snow rubbish thermodynamic diagrams are generated under the influence of the seasons and the weather, so that the natural rubbish thermodynamic diagrams are generated.
In one possible implementation, the determining a fallen leaf trash thermodynamic diagram based on season, street trees, weather, and roads includes:
determining the number of natural fallen leaves based on seasons, the types and growth conditions of the street trees;
determining the number of weather fallen leaves based on the season, the species and the growth condition of the street trees, the weather and the natural fallen leaves;
determining a fallen leaf garbage thermodynamic diagram based on the number of natural fallen leaves, the number of weather fallen leaves, weather and roads.
According to the technical scheme, the number of the natural fallen leaves of the tree in the state without the weather influence can be known through the type, the growth condition and the season of the street tree, and the number of the natural fallen leaves in the same time is subtracted when the weather influence exists to obtain the number of the natural fallen leaves under the weather influence, so that the fallen leaf rubbish thermodynamic diagram is determined according to the weather and the road.
In one possible implementation, the determining a fallen leaf garbage thermodynamic diagram based on the number of natural fallen leaves, the number of weather fallen leaves, weather, and roads includes:
generating a tree 3D map of an area to be predicted based on the acquired position relationship among the roads, the heights of buildings on two sides of the roads and the position relationship among street trees on two sides of the roads;
and determining a fallen leaf rubbish thermodynamic diagram based on the tree 3D diagram, the wind speed and the wind direction in the weather, the natural fallen leaf quantity and the weather fallen leaf quantity.
According to the technical scheme, the 3D map of the area to be predicted is obtained through the position relation among the roads and the heights of houses on two sides of the roads, the street trees are marked on the 3D map according to the positions of the roads, and the distribution map of fallen leaves is obtained according to the obtained natural fallen leaves number, weather fallen leaves number, wind speed and wind direction, so that the fallen leaves rubbish thermodynamic diagram is obtained.
In one possible implementation, the determining an artificial spam thermodynamic diagram based on intrinsic people, season, activity, weather, trash can, and roads includes:
determining the area to be predicted based on the activity;
generating a garbage can position map of the area to be predicted based on the acquired position relation among the roads, the number of the garbage cans and the position of the garbage can relative to the area to be predicted;
determining an artificial garbage amount based on intrinsic people, season, activity and weather;
and determining an artificial rubbish thermodynamic diagram based on the rubbish bin position diagram and the artificial rubbish quantity.
According to the technical scheme, the map of the area to be predicted is obtained through the position relation among the roads, the position and the number of the garbage cans in the area to be predicted are fixed, the more the number of the artificial garbage is, the more the number of the garbage scattered around the garbage cans is, and therefore the artificial garbage thermodynamic diagram is obtained.
In one possible implementation, the determining the artificial garbage amount is based on intrinsic people, season, activity, and weather; the method comprises the following steps:
determining the quantity of inherent garbage based on inherent personnel;
determining floating people based on season, activity, and weather;
determining the amount of the flowing garbage based on the flowing personnel;
and determining the artificial garbage amount based on the inherent garbage amount and the flowing garbage amount.
According to the technical scheme, the personnel and the quantity of the garbage are in positive correlation, the quantity of the inherent garbage is determined according to the quantity of the inherent personnel, the quantity of the flowing personnel is influenced by seasons, activities and weather, the quantity of the flowing personnel is determined according to the seasons, the activities and the weather, the quantity of the flowing garbage is known, and the quantity of the artificial garbage is obtained according to the quantity of the inherent garbage and the quantity of the flowing garbage.
In one possible implementation, the method further includes:
determining the type of the artificial rubbish based on the attributes of inherent personnel, seasons, activities, weather and roads;
determining the type of natural rubbish based on seasons, the type of street trees and weather;
acquiring the number and the type of the sweeper and the number and the type of the sweeper;
and generating a garbage cleaning scheme based on the types of the natural garbage and the artificial garbage, the type of the sweeper, the road garbage thermodynamic diagram and the number of cleaning personnel.
According to the technical scheme, the type and the quantity of the natural garbage and the artificial garbage can be predicted according to the attributes of inherent personnel, seasons, activities, weather and roads and the type of the street trees, so that the cleaning scheme is reasonably arranged according to the type and the quantity of the natural garbage and the artificial garbage, the type and the quantity of the sweeper. Can clear away rubbish to a certain extent in time, bring better living experience for the resident, reduce environmental pollution.
In a second aspect of the present application, a road trash spot location prediction system is provided. The system comprises:
the acquisition module acquires seasons, roads, street trees, weather, inherent personnel, activities and garbage cans;
the system comprises a first processing module, a second processing module and a prediction module, wherein the first processing module is used for determining a natural rubbish thermodynamic diagram of an area to be predicted based on seasons, street trees, weather and roads;
the second processing module is used for determining an artificial rubbish thermodynamic diagram of the area to be predicted based on inherent personnel, seasons, activities, weather, trash cans and roads;
and the third processing module is used for determining the road garbage thermodynamic diagram of the area to be predicted based on the natural garbage thermodynamic diagram and the artificial garbage thermodynamic diagram.
In a third aspect of the present application, an electronic device is provided. The electronic device includes: a memory having a computer program stored thereon and a processor implementing the method as described above when executing the program.
In a fourth aspect of the present application, a computer-readable storage medium is provided, on which a computer program is stored which, when being executed by a processor, carries out the method as according to the first aspect of the present application.
It should be understood that the statements described in this summary are not intended to limit the scope of the disclosure, or the various features described in this summary. Other features of the present application will become apparent from the following description.
Drawings
The above and other features, advantages and aspects of various embodiments of the present application will become more apparent by referring to the following detailed description when taken in conjunction with the accompanying drawings. In the drawings, like or similar reference characters designate like or similar elements, and wherein:
fig. 1 shows a flow chart of a road garbage spot location prediction method according to an embodiment of the present application;
FIG. 2 illustrates a block diagram of a road spam point location prediction system according to an embodiment of the present application;
fig. 3 shows a schematic structural diagram of a terminal device or a server suitable for implementing the embodiments of the present application.
Description of reference numerals: 11. an acquisition module; 12. a first processing module; 13. a second processing module 14 and a third processing module; 301. a CPU; 302. a ROM; 303. a RAM; 304. a bus; 305. an I/O interface; 306. an input section; 307. an output section; 308. a storage section; 309. a communication section; 310. a driver; 311. a removable media.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some embodiments of the present application, but not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
Techniques, methods, and apparatus known to those of ordinary skill in the relevant art may not be discussed in detail but are intended to be part of the specification where appropriate.
If the garbage in daily life is not timely treated, the environment or the society is harmed, for example, the wet garbage is not cleaned for a long time, the wet garbage can be corroded to emit stink, the garbage such as fallen leaves and the like cannot be timely cleaned, the normal driving of automobiles on a road can be influenced, and the appearance of the road can be influenced if the dry garbage is not timely cleaned and stacked together. Meanwhile, in the daily garbage disposal process, cleaning personnel mostly patrol on the street to find one cleaning place, and once a large amount of garbage is encountered, the cleaning personnel cannot take away the garbage at one time because the containers carried by the cleaning personnel are limited.
The properties of roads to which the garbage belongs are different, the types of the garbage are also different, and the required treatment modes are also different. Garbage such as food and fruits generated by residents in a community in daily life is preferably collected by a closed garbage truck; the waste paper in office can be collected by a cleaner; the accumulated snow on the road can be cleaned before a professional snow shoveling vehicle. If the cleaning company can predict the positions of the garbage and the quantity and the types of the garbage, the garbage on the two sides of the road can be cleaned in time, and meanwhile, the workload of cleaning personnel can be reasonably arranged.
Fig. 1 shows a flow chart of a road garbage spot prediction method according to an embodiment of the present application;
s1, acquiring seasons, roads, street trees, weather, inherent personnel, activities and garbage cans;
in order to accurately predict the distribution of road garbage to a certain extent, various factors, i.e., various data, need to be considered. Various data may be acquired by historical data or detectors associated with the data.
Determining the season of the current road according to the current time and the longitude and latitude of the location of the road to be predicted;
obtaining road information of the area to be detected through field investigation or through a map, or consulting with relevant urban construction departments to obtain road information, wherein the road information comprises road attributes such as: snack streets, pedestrian streets, spectacle-street streets, etc.;
the variety, age and growth state of the different road trees are obtained by consulting the related urban construction departments about the variety, age and growth state of the different road trees, or by field investigation.
Obtaining weather information according to a weather forecast or a weather bureau, wherein the weather information is weather information of one day or later;
the method comprises the steps that inherent personnel of a road to be predicted are obtained through a city government and are resident population in buildings on two sides of the road, if the buildings on the two sides of the road are office buildings, the inherent personnel also comprise office workers, and if hospitals exist on two sides of the road, the inherent personnel also comprise hospital inpatients.
The activity information can be acquired by the city government or the street office of the road;
the garbage can comprises the quantity and the bearing capacity of the whole garbage can of a road to be predicted and also comprises the position of the garbage can on the road.
S2, determining a natural rubbish thermodynamic diagram of the area to be predicted based on seasons, street trees, weather and roads;
the natural garbage thermodynamic diagram is a map of the scattering condition of natural garbage in an area to be predicted, and the color of the unit area is determined according to the quantity of the natural garbage in the unit area.
S21, determining a fallen leaf rubbish thermodynamic diagram based on seasons, street trees, weather and roads;
the fallen leaf garbage thermodynamic diagram is used for predicting the position of fallen leaves on a map in an area needing to be predicted, and different colors are marked according to different densities of the fallen leaves in a unit area.
In order to increase the greening area and purify air in cities, a large number of trees or vegetation, collectively called street trees, are planted on both sides of roads. The street trees have fallen leaves under different conditions according to different seasons and weather in the growing process, the fallen leaves fall on the roads, the cleanness of the roads is influenced, and the wet fallen leaves which are not treated for a long time can be rotten, so that the environment is damaged. Dry fallen leaves drifting with the wind may obscure the view of the cars on the road. Therefore, fallen leaves generated by the street trees on the two sides of the road need to be cleaned in time.
Therefore, the fallen leaves of the street trees need to be obtained according to the seasonal factors, street tree factors and weather factors which can influence the fallen leaves, and meanwhile, the fallen leaves rubbish thermodynamic diagram is obtained according to the position relation between the roads and the street trees.
It should be noted that the data obtained in the present application are all data in the area to be predicted.
Step S211, determining the number of natural fallen leaves based on seasons, species and growth conditions of street trees;
from step S1, the species and growth state of the street tree can be obtained by the relevant forestry department and urban construction department. The species and growth state of the street tree will affect the leaf fall of the street tree itself.
The leaf falling conditions of different street trees are different in different seasons, so that the natural leaf falling conditions, namely the number of natural leaf falling conditions under the condition of no weather influence, need to be obtained according to different seasons, different street tree types and growth conditions.
For example, in spring, willow seeds are scattered to generate willow catkins, the willow catkins comprise willow seeds and villi, and the villi floats around, so that the willow catkins cause great harm to people with respiratory diseases; for example, in autumn, sycamore will produce a large amount of fallen leaves, and the fallen leaves fall on the road and are rolled by automobiles, so that certain dirt can be caused to the road surface. The catkin is not fallen leaves, and the fallen leaf trash described herein is intended to be an object falling from a street tree, so the catkin is regarded as one of fallen leaves.
Step S212, determining the number of weather fallen leaves based on seasons, species and growth conditions of the street trees, weather and natural fallen leaves;
the number of weather fallen leaves is the number of fallen leaves of the descending street tree under the influence of weather factors minus the number of natural fallen leaves under no influence of weather.
Referring to step S211, most of the time, the fallen leaves of the street tree are affected by the weather, and the fallen leaves of the street tree are different in different weather.
For example, different wind speeds, different numbers of leaves blown off by the street tree;
the leaves blown down by wind and the leaves blown down by rain fall on the ground in different forms.
And step S213, determining a fallen leaf garbage thermodynamic diagram based on the number of natural fallen leaves, the number of weather fallen leaves, weather and roads.
After the number of natural fallen leaves and the number of weather fallen leaves are obtained, a fallen leaf garbage thermodynamic diagram can be determined according to the obtained predicted weather and a virtual map determined according to roads.
Step 2131, generating a tree 3D map of an area to be predicted based on the acquired position relationship among the roads, the heights of buildings on two sides of the roads and the position relationship among street trees on two sides of the roads;
3D drawing of the tree: in a 3D model built in equal proportion to the area to be predicted, marking a street tree in a tree 3D map according to the position relation with the displayed road, namely obtaining an equal-proportion map of the area to be predicted, wherein the map comprises the road of the area to be predicted and the height, width and length of buildings on two sides of the road; the position relationship of the street tree is also included, and it can be understood that the street tree includes the species and the growth condition of the street tree.
Step S2132, determining a fallen leaf rubbish thermodynamic diagram based on the tree 3D diagram, the wind speed and the wind direction in the weather, the natural fallen leaf quantity and the weather fallen leaf quantity.
The wind speed and the wind direction belong to the same weather, that is, the data acquisition mode is the same as the weather acquisition mode, which is not described herein again.
In a tree 3D diagram comprising a street tree, based on a real physical module, simulating the motion conditions of a certain number of natural fallen leaves and weather fallen leaves under the real condition according to the predicted wind speed and wind direction, so as to obtain a distribution diagram of the fallen leaves under the real environment, namely obtaining a thermal distribution diagram of fallen leaf garbage.
Step S22, determining a rain and snow rubbish thermodynamic diagram based on seasons and weather;
in actual life, except fallen leaf garbage such as fallen leaves and catkin, rainwater garbage such as snow and hail also exists, namely the garbage is converted into garbage through water, and the garbage falls on the road ground, so that the road ground becomes wet and slippery, and pedestrians walking on the road ground or automobiles running on the road ground are difficult to move forwards. And in order to guarantee the unobstructed of road, can shovel the snow on the road to road both sides usually the very first time, shovel to the snow or the hail of road both sides pile up, will influence the pedestrian of road both sides, so need according to weather definite nature pile up rubbish.
The weather can be acquired through weather forecast, and corresponding data can be directly acquired from a weather bureau in consideration of the practical scene of the application.
And S23, determining a natural garbage thermodynamic diagram based on the fallen leaf garbage thermodynamic diagram and the rain and snow garbage thermodynamic diagram.
And after the fallen leaf garbage thermodynamic diagram and the snow and rain garbage thermodynamic diagram are obtained, overlapping the two diagrams according to the corresponding relation of roads to obtain the natural garbage thermodynamic diagram.
S3, determining a man-made rubbish thermodynamic diagram of the area to be predicted based on inherent personnel, seasons, activities, weather, a rubbish bin and roads;
the artificial spam thermodynamic diagram is a map of the scattering positions of artificially generated spam in the region to be predicted, and the color of the unit area is determined according to the number of the artificial spam in the unit area.
Step S31, determining the area to be predicted based on the activity;
when there is activity, the government divides the corresponding activity range, and the range is the area to be predicted.
Step S32, generating a garbage can position map of the area to be predicted based on the acquired position relation among the roads, the quantity of the garbage cans and the position of the garbage cans relative to the area to be predicted;
referring to step S2141, the garbage can position diagram is similar to the tree 3D diagram, which is not repeated herein. It can be understood that the tree 3D map needs to be a 3D map because information such as wind speed, wind direction, height of buildings on two sides of a road and the like needs to be considered, but garbage in the garbage can is caused by people and is not greatly related to environmental factors, so that the garbage can position map does not need to be forcibly made into the 3D map.
Step S33, determining the artificial garbage quantity based on inherent personnel, seasons, activities and weather;
the number of artificial garbage is positively correlated with the number of people, namely, the more people, the more the number of artificial garbage is, the season, activity and weather will influence the number of mobile people, so that the number of people generating artificial garbage can be predicted through inherent people, season, activity and weather.
Step S331, determining the quantity of inherent garbage based on inherent personnel;
the inherent garbage is the garbage produced by inherent personnel.
The data can be obtained by local per capita garbage production and the resident, and can also be obtained by averaging the past data, which is the daily garbage yield of the resident.
Step S332, determining floating personnel based on seasons, activities and weather;
referring to step S33, the season, activity and weather will affect the number of floating persons.
Step S333, determining the quantity of the flowing garbage based on the flowing personnel;
the flowing garbage is the garbage produced by flowing personnel.
Referring to step S33, if the amount of artificial waste is positively correlated to the number of persons, the amount of mobile waste can be determined by the number of mobile persons.
In step S334, the artificial garbage amount is determined based on the inherent garbage amount and the flowing garbage amount.
The artificial garbage quantity is obtained by adding the inherent garbage quantity and the flowing garbage quantity.
And step S34, determining an artificial rubbish thermodynamic diagram based on the rubbish bin position diagram and the artificial rubbish quantity.
With the development of the country and the popularization of nine-year obligation education, people prefer to throw garbage into the garbage can until the garbage can is full, and people also prefer to put the garbage around the garbage can, namely, the garbage thermodynamic diagram in the garbage can position diagram is related to the artificial garbage quantity, the garbage can quantity and the garbage can capacity, namely the garbage thermodynamic diagram in the garbage can position diagram is a thermodynamic diagram which is reduced from the garbage can as a center to the periphery.
In a specific example, government a plans to hold a one-week (october-july) food section in food street to drive local economic development. The date of the food section is in summer, the food street is a tour season in summer, the number of floating population on the food street is increased compared with other non-tour season in seven days, and the data of the floating population increase can be obtained through similar activities of the current government.
In the cuisine day of seven days, the weather bureau predicts that the area will be rainstorm in the day of october four days, and because of the factor of rainstorm, the number of floating people in the day of october four days will be less than that in the other six days, and thus less floating garbage will be generated in the day of october four days.
And S4, determining the road rubbish thermodynamic diagram of the area to be predicted based on the natural rubbish thermodynamic diagram and the artificial rubbish thermodynamic diagram.
Referring to step S23, the natural spam thermodynamic diagram and the artificial spam thermodynamic diagram are overlapped to obtain the road spam thermodynamic diagram of the area to be predicted.
After obtaining the road garbage thermodynamic diagram, a corresponding garbage disposal scheme needs to be performed according to the road garbage thermodynamic diagram, so the application further comprises:
step S51, determining the type of the artificial garbage based on the attributes of inherent personnel, seasons, activities, weather and roads;
the roads have different attributes and different types of generated garbage, for example, most of the snack streets are kitchen garbage, and the roads have a plurality of office areas, so that most of the garbage types are recyclable garbage of cardboard.
Step S52, determining the type of the natural garbage based on the season, the type of the street tree and the weather;
the types of the street trees are different, and the produced fallen leaves are different; the weather is different, and the processing method for fallen leaves is different; for example, in rainy weather, the catkin needs to be cleaned simply, and in dry environment, the catkin needs to be wetted by a certain method for post-treatment.
S53, acquiring the number and the type of the sweeper and the number and the type of the sweeper;
the number and type of the sweeper trucks and the number and number of the sweeper can be obtained by the cleaning company, and are not described herein.
And S54, generating a garbage cleaning scheme based on the types of the natural garbage and the artificial garbage, the type of the sweeper, the road garbage thermodynamic diagram and the number of cleaning personnel.
After the road garbage thermodynamic diagram is obtained, the distribution condition of the road garbage of the area to be predicted and the quantity of the distribution garbage can be known. At the moment, only the type of the road garbage needs to be acquired, and a road garbage cleaning scheme, namely a garbage cleaning scheme, can be formulated according to the resources in the cleaning company, namely the type and the number of the sweeper.
In a specific example, the road to be predicted is acquired as the food street.
The garbage thermodynamic diagram of the food street is obtained from the predicted road garbage thermodynamic diagram, the quantity of the artificial garbage and the quantity of the natural garbage are 31 tons and 1 ton respectively, and the positions of the artificial garbage and the natural garbage can be obtained according to the garbage thermodynamic diagram.
Artificial rubbish point location: the area to be predicted comprises 20 garbage cans, the load capacity of each garbage can is 2 tons, and the positions of the garbage cans are marked in a road garbage thermodynamic diagram.
Natural garbage point location: the fallen leaves are evenly distributed in the area to be predicted, and rain, snow and garbage do not exist.
The load of the kitchen garbage truck is 25 tons, and the load of the manual three-wheel cleaning truck is 0.2 ton.
The planned scheme process is as follows:
according to the attribute of the road, the garbage generated by the road is mostly kitchen garbage, and then the cleaning company sends out the kitchen garbage truck according to the kitchen garbage. Meanwhile, the predicted amount of artificial garbage is 31 tons and is larger than the upper limit of the load of a single kitchen garbage truck, so 2 kitchen garbage trucks are dispatched, and the point position where each kitchen garbage truck is located before 10 garbage trucks is determined according to the point position where 20 garbage bins are located and the 2 kitchen garbage trucks. The quantity of natural garbage is 1 ton, the street trees planted on the two sides of the food street are sycamore, fallen leaves of the sycamore do not need to be cleaned by professional vehicles, and the fallen leaves are distributed in a dispersed manner, so that a manual three-wheel cleaning vehicle is dispatched. The load of the manual three-wheel cleaning vehicle is 0.2 ton, the number of the manual three-wheel cleaning vehicles is 5, and meanwhile, the number of the manual three-wheel cleaning vehicles which are actually dispatched is 6 in consideration of the possibility of errors of the predicted number of the natural garbage.
One kitchen garbage truck needs one driver and one operator, one manual three-wheel cleaning truck needs one sanitation worker, and two kitchen garbage truck drivers, two kitchen garbage truck operators and six sanitation workers need to be dispatched.
It is understood that the scheme making process may be made for related workers according to a road garbage thermodynamic diagram, or may be made for a professional scheme designation method, which is not limited herein.
It should be noted that, for simplicity of description, the above-mentioned method embodiments are described as a series of acts or combination of acts, but those skilled in the art will recognize that the present application is not limited by the order of acts described, as some steps may occur in other orders or concurrently depending on the application. Further, those skilled in the art should also appreciate that the embodiments described in the specification are exemplary embodiments and that the acts and modules referred to are not necessarily required in this application.
The above is a description of method embodiments, and the following is a further description of the scheme described in the present application by way of system embodiments.
FIG. 2 illustrates a block diagram of a road spam point location prediction system according to an embodiment of the present application;
as shown in fig. 2, the system includes:
the acquisition module 11 acquires seasons, roads, street trees, weather, inherent personnel, activities and garbage cans;
the first processing module 12 is used for determining a natural rubbish thermodynamic diagram of the area to be predicted based on seasons, street trees, weather and roads;
the second processing module 13 is used for determining an artificial rubbish thermodynamic diagram of the area to be predicted based on inherent personnel, seasons, activities, weather, trash cans and roads;
and the third processing module 14 is used for determining the road garbage thermodynamic diagram of the area to be predicted based on the natural garbage thermodynamic diagram and the artificial garbage thermodynamic diagram.
It can be clearly understood by those skilled in the art that, for convenience and brevity of description, the specific working process of the described module may refer to the corresponding process in the foregoing method embodiment, and is not described herein again.
Fig. 3 shows a schematic structural diagram of an electronic device suitable for implementing embodiments of the present application.
As shown in fig. 3, the electronic apparatus includes a Central Processing Unit (CPU) 301 that can perform various appropriate actions and processes in accordance with a program stored in a Read Only Memory (ROM) 302 or a program loaded from a storage section 308 into a Random Access Memory (RAM) 303. In the RAM 303, various programs and data necessary for the operation of the system 300 are also stored. The CPU301, ROM 302, and RAM 303 are connected to each other via a bus 304. An input/output (I/O) interface 305 is also connected to bus 304.
The following components are connected to the I/O interface 305: an input portion 306 including a keyboard, a mouse, and the like; an output section 307 including a display such as a Cathode Ray Tube (CRT), a Liquid Crystal Display (LCD), and the like, and a speaker; a storage section 308 including a hard disk and the like; and a communication section 309 including a network interface card such as a LAN card, a modem, or the like. The communication section 309 performs communication processing via a network such as the internet. A drive 310 is also connected to the I/O interface 305 as needed. A removable medium 311 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is mounted on the drive 310 as necessary, so that the computer program read out therefrom is mounted into the storage section 308 as necessary.
In particular, according to embodiments of the present application, the process described above with reference to the flowchart fig. 1 may be implemented as a computer software program. For example, embodiments of the present application include a computer program product comprising a computer program embodied on a machine-readable medium, the computer program comprising program code for performing the method illustrated in the flow chart. In such an embodiment, the computer program may be downloaded and installed from a network through the communication section 309, and/or installed from the removable medium 311. The above-described functions defined in the system of the present application are executed when the computer program is executed by the Central Processing Unit (CPU) 301.
It should be noted that the computer readable medium shown in the present application may be a computer readable signal medium or a computer readable storage medium or any combination of the two. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, or device, or any combination of the foregoing. More specific examples of the computer readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the present application, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, or device. In this application, however, a computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: wireless, wire, fiber optic cable, RF, etc., or any suitable combination of the foregoing.
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present application. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The units or modules described in the embodiments of the present application may be implemented by software or hardware. The described units or modules may also be provided in a processor, and may be described as: a processor includes an acquisition module, a first processing module, a second processing module, and a third processing module. Where the names of these units or modules do not in some cases constitute a limitation of the unit or module itself, for example, the acquisition module may also be described as a "module for acquiring seasons, roads, street trees, weather, proper persons, activities, and trash cans".
As another aspect, the present application also provides a computer-readable storage medium, which may be included in the electronic device described in the above embodiments; or may be separate and not incorporated into the electronic device. The computer-readable storage medium stores one or more programs that, when executed by one or more processors, perform the method for processing road trash described herein.
The above description is only a preferred embodiment of the application and is illustrative of the principles of the technology employed. It will be appreciated by those skilled in the art that the scope of the application referred to in the present application is not limited to the embodiments with a particular combination of the above-mentioned features, but also encompasses other embodiments with any combination of the above-mentioned features or their equivalents without departing from the spirit of the application. For example, the above features may be replaced with (but not limited to) features having similar functions as those described in this application.
Claims (10)
1. A road rubbish point location prediction method is characterized by comprising the following steps:
acquiring seasons, roads, street trees, weather, inherent personnel, activities and garbage cans;
determining a natural rubbish thermodynamic diagram of an area to be predicted based on seasons, street trees, weather and roads;
determining an artificial rubbish thermodynamic diagram of an area to be predicted based on inherent personnel, seasons, activities, weather, trash cans and roads;
and determining a road spam thermodynamic diagram of the area to be predicted based on the natural spam thermodynamic diagram and the artificial spam thermodynamic diagram.
2. The method for predicting the road garbage spot positions according to claim 1, wherein the determining the natural garbage thermodynamic diagram of the area to be predicted based on seasons, road trees, weather and roads comprises:
determining a fallen leaf trash thermodynamic diagram based on seasons, street trees, weather and roads;
determining a rain and snow rubbish thermodynamic diagram based on season and weather;
and determining a natural garbage thermodynamic diagram based on the fallen leaf garbage thermodynamic diagram and the rain and snow garbage thermodynamic diagram.
3. The method for predicting the road garbage spot location according to claim 2, wherein the determining the fallen leaf garbage thermodynamic diagram based on seasons, road trees, weather and roads comprises:
determining the number of natural fallen leaves based on seasons, the types and growth conditions of the street trees;
determining the number of weather fallen leaves based on seasons, species and growth conditions of the street trees, weather and natural fallen leaves;
determining a fallen leaf garbage thermodynamic diagram based on the number of natural fallen leaves, the number of weather fallen leaves, weather and roads.
4. The method for predicting road garbage spot location according to claim 3, wherein the determining a fallen leaf garbage thermodynamic diagram based on the number of natural fallen leaves, the number of weather fallen leaves, weather and roads comprises:
generating a tree 3D (three-dimensional) diagram of an area to be predicted based on the acquired position relationship among the roads, the heights of buildings on two sides of the road and the position relationship among street trees on two sides of the road;
and determining a fallen leaf rubbish thermodynamic diagram based on the tree 3D diagram, the wind speed and the wind direction in the weather, the natural fallen leaf quantity and the weather fallen leaf quantity.
5. The method for predicting the road garbage spot location according to claim 1, wherein the determining the artificial garbage thermodynamic diagram based on the inherent personnel, season, activity, weather, garbage can and road comprises:
determining the area to be predicted based on the activity;
generating a garbage can position map of the area to be predicted based on the acquired position relation among the roads, the quantity of the garbage cans and the position of the garbage can relative to the area to be predicted;
determining an artificial garbage amount based on intrinsic people, season, activity and weather;
and determining an artificial garbage thermodynamic diagram based on the garbage can position diagram and the artificial garbage quantity.
6. The road garbage spot location prediction method according to claim 5, wherein the artificial garbage amount is determined based on inherent personnel, season, activity and weather; the method comprises the following steps:
determining the quantity of inherent garbage based on inherent personnel;
determining floating people based on season, activity, and weather;
determining the amount of the flowing garbage based on the flowing personnel;
the artificial waste amount is determined based on the inherent waste amount and the flowing waste amount.
7. The method for predicting the location of road debris points according to claim 1, further comprising:
determining the type of the artificial rubbish based on the attributes of inherent personnel, seasons, activities, weather and roads;
determining the type of the natural garbage based on the season, the type of the street tree and the weather;
acquiring the number and the type of the sweeper and the number and the type of the sweeper;
and generating a garbage cleaning scheme based on the types of natural garbage and artificial garbage, the types of the sweeper, the road garbage thermodynamic diagram and the number of cleaning personnel.
8. A road garbage spot location prediction system is characterized by comprising:
the acquisition module (11) acquires seasons, roads, street trees, weather, inherent personnel, activities and garbage cans;
a first processing module (12) for determining a natural rubbish thermodynamic diagram of an area to be predicted based on seasons, street trees, weather and roads;
a second processing module (13) for determining an artificial garbage thermodynamic diagram of the area to be predicted based on the inherent personnel, seasons, activities, weather, garbage cans and roads;
and a third processing module (14) for determining a road spam thermodynamic diagram of the area to be predicted based on the natural spam thermodynamic diagram and the artificial spam thermodynamic diagram.
9. An electronic device comprising a memory having a computer program stored thereon and a processor that when executed performs the method of any one of claims 1 to 7.
10. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the method according to any one of claims 1 to 7.
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