CN112116170A - Method and device for automatically planning work route - Google Patents
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Abstract
The invention discloses a method and a device for automatically planning an on-duty route, wherein the method comprises the following steps: obtaining first working time information of the first user; obtaining first position information of a first user work place; obtaining second position information of the first user; obtaining first route information, wherein the first route information is the nearest route information within the range from the first area; and sending the first route information to the first user. The technical effects of helping the user to automatically plan the on-duty route information, automatically optimizing and adjusting the route and reasonably planning the time are achieved.
Description
Technical Field
The invention relates to the field of route planning, in particular to a method and a device for automatically planning an on-duty route.
Background
With the rapid development of national economy, internet technology is also continuously improved. Due to the improvement of the living standard of residents in China, the number of vehicles running on the road is large, especially traffic jam caused by early peak periods during work, and the method for planning the route in advance is a simple and effective method for ensuring that the vehicles can reach the work place on time. At present, the electronic map searched by people can see the general route, but the specific situation of each road is unclear, and the required time is different because the congestion situation of each road is different, so that the result different from the planning time is inevitably caused.
Therefore, in the process of implementing the technical scheme of the invention in the embodiment of the present application, the inventor of the present application finds that the above technology has at least the following technical problems:
the technical problems that the route cannot be adjusted in time, the route planning is not reasonable enough, the road information is not obtained in time and the like exist in the prior art.
Disclosure of Invention
The embodiment of the application provides a method and a device for automatically planning a working route, and solves the technical problems that in the prior art, the route cannot be adjusted in time, the route planning is not reasonable enough, the time is wasted easily, the road information is not obtained in time and the like. The technical effects of helping the user to automatically plan the on-duty route information, automatically optimizing and adjusting the route and reasonably planning the time are achieved.
In view of the foregoing problems, the embodiments of the present application provide a method and an apparatus for automatically planning an office route.
In a first aspect, an embodiment of the present application provides a method for automatically planning an office route, which is applied to a mobile device, and the method includes: obtaining first working time information of the first user; obtaining first position information of a first user work place; obtaining second position information of the first user; obtaining first route information, wherein the first route information is the nearest route information within the range from the first area; and sending the first route information to the first user.
In another aspect, the present application further provides an apparatus for automatically planning an on-duty route, wherein the apparatus includes: a first obtaining unit, configured to obtain first working time information of the first user; a second obtaining unit configured to obtain first position information of a first user work place; a third obtaining unit, configured to obtain second location information of the first user; a fourth obtaining unit, configured to obtain first route information, where the first route information is closest route information to the first area range; a first sending unit, configured to send the first route information to the first user.
In a third aspect, the present application further provides an apparatus for automatically planning an on-duty route, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the method according to the first aspect when executing the program.
One or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages:
the method has the advantages that the traffic information of the on-duty route is acquired and stored based on a big data technology by acquiring the on-duty time information and the position information of the first user, so that the on-duty route is reasonably planned by acquiring the real-time road condition information, and the technical effects of helping the user automatically plan the on-duty route information, automatically optimizing and adjusting the route and reasonably planning the time are achieved.
The foregoing is a summary of the present disclosure, and embodiments of the present disclosure are described below to make the technical means of the present disclosure more clearly understood.
Drawings
Fig. 1 is a schematic flowchart illustrating a method for automatically planning a work route according to an embodiment of the present application;
fig. 2 is a schematic structural diagram of an apparatus for automatically planning an office route according to an embodiment of the present application;
fig. 3 is a schematic structural diagram of an exemplary electronic device according to an embodiment of the present application.
Description of reference numerals: a first obtaining unit 11, a second obtaining unit 12, a third obtaining unit 13, a fourth obtaining unit 14, a first sending unit 15, a fifth bus 300, a receiver 301, a processor 302, a sender 303, a memory 304, and a bus interface 306.
Detailed Description
The embodiment of the application provides a method and a device for automatically planning a working route, and solves the technical problems that in the prior art, the route cannot be adjusted in time, the route planning is not reasonable enough, the time is wasted easily, the road information is not obtained in time and the like. The technical effects of providing planning road information in real time, automatically optimizing and adjusting the route and reasonably utilizing time are achieved. Hereinafter, example embodiments of the present application will be described in detail with reference to the accompanying drawings. It should be apparent that the described embodiments are merely some embodiments of the present application and not all embodiments of the present application, and it should be understood that the present application is not limited to the example embodiments described herein.
Summary of the application
With the rapid development of national economy, internet technology is also continuously improved. Due to the improvement of the living standard of residents in China, the number of vehicles running on roads is large, especially traffic jam caused in the early peak period during work, the method of planning the routes in advance is a simple and effective method to ensure that the vehicles can reach the work place on time, and due to the fact that jam conditions of all the roads are different, required time is different, and results different from planned time are inevitably caused. The technical problems that the route cannot be adjusted in time, the route planning is not reasonable enough, the time is wasted easily, the road information is not obtained in time and the like exist in the prior art.
In view of the above technical problems, the technical solution provided by the present application has the following general idea:
the embodiment of the application provides a method and a device for automatically planning an on-duty route, wherein the method comprises the following steps: obtaining electrical appliance information of a first family; obtaining first working time information of the first user; obtaining first position information of a first user work place; obtaining second position information of the first user; obtaining first route information, wherein the first route information is the nearest route information within the range from the first area; and sending the first route information to the first user.
Having thus described the general principles of the present application, various non-limiting embodiments thereof will now be described in detail with reference to the accompanying drawings.
Example one
As shown in fig. 1, an embodiment of the present application provides a method and an apparatus for automatically planning an office route, where the method includes:
step S100: obtaining first working time information of the first user;
specifically, the first time information is a time when the first user arrives at a work place. And recording and storing the time information based on the first user input or preset working time information in the mobile equipment, wherein the time information is used as a time reference basis for automatically planning a route later, so that the time is reasonably planned, and the technical effect of effectively utilizing the time is achieved.
Step S200: obtaining first position information of a first user work place;
specifically, first location information of the first user is obtained by the mobile device based on a spatial big data technique. The first position information is a specific place where the first user works, and the road condition around the first position information is further acquired by acquiring the first position information, so that the technical effect of providing the road information in real time is achieved.
Step S300: obtaining second position information of the first user;
specifically, the second location information refers to location information of a departure point of the first user, and the second location information may be living address information of the first user or current location information of the first user. According to the obtained first position information, namely the destination, the obtained second position information, namely the initial place, and further the current on-duty route can be automatically planned according to the real-time road condition information, so that an information source is provided for providing the on-duty route.
Step S400: obtaining first route information, wherein the first route information is the nearest route information within the range from the first area;
specifically, the first route information refers to route information automatically planned by obtaining the first position information and the second position information; the first area is position information of a vicinity of the work site. And acquiring the first route information based on a big data technology, wherein the first route information is the nearest route information within the first area range. Therefore, unnecessary detours are reduced for the first user, and the technical effect of saving time is achieved.
Step S500: and sending the first route information to the first user.
Specifically, after the first route information is acquired, a sending instruction is automatically acquired by a data processing center, and the first route information is sent to the first user through information receiving platforms such as a short message and a WeChat. The first user can receive the work route in time, and therefore the technical effects of timely obtaining road condition information and reasonably and effectively planning time are achieved.
In order to implement the automatic card punching operation, step S200 in the embodiment of the present application further includes:
step S201: obtaining first area information according to the first position information;
step S202: judging whether the second position information is in the first area or not;
step S203: if the mobile device is in the state of the card punching APP, the use permission of the card punching APP in the mobile device is automatically acquired to carry out automatic card punching operation.
Specifically, the first area is obtained based on the first location information, is close to the first location, and can realize an area covered by a card punching network signal, and whether the second location information is in the first area is judged through obtaining the location information, if so, the control center automatically obtains the use permission of the card punching APP, and the automatic card punching operation is performed. The technical purpose of helping the first user to automatically punch the card based on the big data technology is achieved.
In order to remind the first user before the first working hour arrives, step S100 in this embodiment of the present application further includes:
step S101: acquiring second time information, wherein the second time information is real-time information;
step S102: acquiring first reminding information;
step S103: and sending the first reminding information to the first user every first time threshold within one hour before the first working hour.
Specifically, the second time information is obtained by the mobile device, the second time information is real-time information, and the first time threshold is a reminding interval time for reminding the first user that the working time is coming, such as fifteen minutes, twenty minutes, and the like. By acquiring the second time, the first reminding information can be sent to the first user every other first time threshold within one hour before the first working time, so that the technical purposes of helping the first user reasonably plan the time and avoiding late arrival are achieved.
In order to adjust the first route information, step S400 in this embodiment of the present application further includes:
step S401: obtaining first route information contained in the first route;
step S402: acquiring real-time congestion degree information of the first road section;
step S403: acquiring third time information according to the congestion degree information, wherein the third time information is the estimated time required for reaching the first position;
step S404: judging whether the third time information is smaller than the first time or not;
step S405: if the third time is exceeded, obtaining a first adjusting instruction;
step S406: and adjusting the first route information according to the first adjusting instruction.
Specifically, based on a GPS global positioning technology, first route segment information included in the first route is obtained, and based on a big data technology, data information is acquired and stored, so that real-time congestion degree information of the first route segment is obtained through a system database, and third time information is obtained through data analysis, where the third time information is time estimated to reach the first position, and then it is determined whether the third time information is less than the first time, and if so, it is determined that the first user may arrive late at the first position through the first route, and a first adjustment instruction needs to be obtained to adjust the first route information. The technical aims of timely adjusting the route information, automatically optimizing and adjusting the route and avoiding late arrival based on the big data technology are achieved.
In order to obtain more accurate travel mode information, step S406 in this embodiment of the present application further includes:
step S4061: obtaining the most reasonable travel mode for reaching the first position through the first adjusting route;
step S4062: and sending the trip mode information to the first user.
Specifically, more reasonable route information is obtained by adjusting the first route, and then the most reasonable travel modes, such as riding, public transportation, subway, taxi taking and the like, from the first adjustment route to the first position are obtained by analyzing the congestion information of the adjustment route. And further sending the travel mode information to the first user. The technical aims of reasonably planning the route for the first user and automatically recommending a travel mode are achieved.
In order to obtain more accurate third time information, step S403 in this embodiment of the present application further includes:
step S4031: inputting the first road section information and the real-time congestion degree information of the first road section into a neural network model, wherein the neural network model is obtained by training multiple groups of training data, and each group of training data in the multiple groups comprises: first route information contained in the first route, real-time congestion degree information of the first route, and identification information for identifying a third time;
step S4032: and obtaining output information of the neural network model, wherein the output information comprises a first output result and a second output result, the first output result is that the third time information is smaller than the first time, and the second output result is that the third time information is larger than the first time.
Specifically, the machine model is obtained by training a plurality of sets of training data, and the process of training the neural network model by the training data is essentially a process of supervised learning. Each set of training data in the plurality of sets of training data comprises: first route information contained in the first route, real-time congestion degree information of the first route, and identification information for identifying a third time; under the condition of obtaining first route segment information contained in the first route and real-time congestion degree information of the first route segment, the machine learning model outputs identified third time information to check the third time information output by the machine learning model, and if the output third time information is consistent with the identified third time information, the data supervised learning is finished, and then the next group of data supervised learning is carried out; and if the output third time information is inconsistent with the identified third time information, adjusting the machine learning model by the machine learning model, and performing supervised learning of the next group of data after the machine learning model reaches the expected accuracy. The machine learning model is continuously corrected and optimized through training data, the accuracy of the machine learning model for processing the data is improved through the process of supervised learning, the third time information is accurate, and a foundation is laid for subsequent time rational planning and route adjustment through accurate evaluation of the third time information.
In order to obtain more accurate training data, S4031 in this embodiment further includes:
step S40311: when the output information is the first output result, constructing a training data set according to first route segment information contained in the first route and real-time congestion degree information of the first route segment;
step S40312: and training the neural network model according to the training data set to enable the neural network model to reach a convergence state.
Specifically, the first output result is third time information. The training model is a machine learning model, and the machine learning model can continuously learn by constructing a training data set according to the first road segment information and the real-time congestion degree information of the first road segment, further continuously modify the model, and finally obtain satisfactory experience to process other data.
To sum up, the method and the device for automatically planning the working route provided by the embodiment of the application have the following technical effects:
1. the traffic information of the on-duty route is acquired and stored based on a big data technology by acquiring the on-duty time information and the position information of the first user, so that the on-duty route is reasonably planned by acquiring the real-time road condition information, the road information is reasonably planned according to the real-time road condition, the route is automatically optimized and adjusted, and the technical effect of reasonably utilizing time is achieved.
2. Because the mode that the first route segment information contained in the first route and the real-time congestion degree information of the first route segment are input into the training model and then the training model outputs the third time is adopted, the detection of the third time is more accurate based on the characteristic that the training model can continuously optimize learning and obtain experience to process more accurate data, and a foundation is laid for reasonably planning and adjusting the route by obtaining more accurate third time information.
Example two
Based on the same inventive concept as the method and the device for automatically planning the working route in the foregoing embodiment, the present invention further provides a device for automatically planning the working route, as shown in fig. 2, the device includes:
a first obtaining unit 11, where the first obtaining unit 11 is configured to obtain first working time information of the first user;
a second obtaining unit 12, wherein the second obtaining unit 12 is used for obtaining first position information of a first user work place;
a third obtaining unit 13, where the third obtaining unit 13 is configured to obtain second location information of the first user;
a fourth obtaining unit 14, where the fourth obtaining unit 14 is configured to obtain first route information, where the first route information is closest route information to the first area range;
and the first sending unit is used for sending the first route information to the first user through a mobile phone short message.
Further, the apparatus further comprises:
a fifth obtaining unit configured to obtain first area information according to the first position information;
a first judging unit, configured to judge whether the second location information is within the first area;
and the sixth obtaining unit is used for automatically obtaining the use permission of the card punching APP in the mobile equipment to perform automatic card punching operation if the mobile equipment is in the use permission.
Further, the apparatus further comprises:
a seventh obtaining unit, configured to obtain second time information, where the second time information is real-time information;
an eighth obtaining unit, configured to obtain the first reminding information;
and the second sending unit is used for sending the first reminding information to the first user every first time threshold within one hour before the first working time comes.
Further, the apparatus further comprises:
a ninth obtaining unit, configured to obtain first route information included in the first route;
a tenth obtaining unit, configured to obtain real-time congestion degree information of the first road segment;
an eleventh obtaining unit, configured to obtain third time information according to the congestion degree information, where the third time information is estimated to be time required to reach the first location;
a second determining unit, configured to determine whether the third time information is smaller than the first time;
a twelfth obtaining unit, configured to obtain a first adjustment instruction if the third time is exceeded;
and the first adjusting unit is used for adjusting the first route information according to the first adjusting instruction.
Further, the apparatus further comprises:
a thirteenth obtaining unit, configured to obtain a most reasonable travel mode for reaching the first location through the first adjusted route;
a third sending unit, configured to send the travel mode information to the first user.
Further, the apparatus further comprises:
a first input unit, configured to input the first link information and the real-time congestion level information of the first link into a neural network model, where the neural network model is obtained through training of multiple sets of training data, and each set of training data in the multiple sets includes: first route information contained in the first route, real-time congestion degree information of the first route, and identification information for identifying a third time;
a fourteenth obtaining unit, configured to obtain output information of the neural network model, where the output information includes a first output result and a second output result, the first output result is that the third time information is smaller than the first time, and the second output result is that the third time information is larger than the first time.
Further, the apparatus further comprises:
a fifteenth obtaining unit, configured to, when the output information is the first output result, construct a training data set according to first route segment information included in the first route and real-time congestion degree information of the first route segment;
a first training unit, configured to train the neural network model according to the training data set, so that the neural network model reaches a convergence state.
Exemplary electronic device
The electronic device of the embodiment of the present application is described below with reference to fig. 3.
Fig. 3 illustrates a schematic structural diagram of an electronic device according to an embodiment of the present application.
Based on the inventive concept of the method for automatically planning a working route in the foregoing embodiments, the present invention further provides an apparatus for automatically planning a working route, wherein a computer program is stored thereon, and when the program is executed by a processor, the steps of any one of the methods of the method and the apparatus for automatically planning a working route are implemented.
Where in fig. 3 a bus architecture (represented by bus 300), bus 300 may include any number of interconnected buses and bridges, bus 300 linking together various circuits including one or more processors, represented by processor 302, and memory, represented by memory 304. The bus 300 may also link together various other circuits such as peripherals, voltage regulators, power management circuits, and the like, which are well known in the art, and therefore, will not be described any further herein. A bus interface 306 provides an interface between the bus 300 and the receiver 301 and transmitter 303. The receiver 301 and the transmitter 303 may be the same element, i.e., a transceiver, providing a means for communicating with various other apparatus over a transmission medium.
The processor 302 is responsible for managing the bus 300 and general processing, and the memory 304 may be used for storing data used by the processor 302 in performing operations.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, apparatus, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention has been described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (devices), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks. While preferred embodiments of the present invention have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. Therefore, it is intended that the appended claims be interpreted as including preferred embodiments and all such alterations and modifications as fall within the scope of the invention.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.
Claims (9)
1. A method for automatically planning an on-duty route, which is applied to a mobile device, wherein the method comprises the following steps:
obtaining first working time information of the first user;
obtaining first position information of a first user work place;
obtaining second position information of the first user;
obtaining first route information, wherein the first route information is the nearest route information within the range from the first area;
and sending the first route information to the first user.
2. The method of claim 1, wherein the method comprises:
obtaining first area information according to the first position information;
judging whether the second position information is in the first area or not;
if the mobile device is in the state of the card punching APP, the use permission of the card punching APP in the mobile device is automatically acquired to carry out automatic card punching operation.
3. The method of claim 1, wherein obtaining first time-to-work information for the first user comprises:
acquiring second time information, wherein the second time information is real-time information;
acquiring first reminding information;
and sending the first reminding information to the first user every first time threshold within one hour before the first working hour.
4. The method of claim 1, wherein the method comprises:
obtaining first route information contained in the first route;
acquiring real-time congestion degree information of the first road section;
acquiring third time information according to the congestion degree information, wherein the third time information is the estimated time required for reaching the first position;
judging whether the third time information is smaller than the first time or not;
if the third time is exceeded, obtaining a first adjusting instruction;
and adjusting the first route information according to the first adjusting instruction.
5. The method of claim 4, wherein the first route information is adjusted, the method further comprising:
obtaining the most reasonable travel mode for reaching the first position through the first adjusting route;
and sending the trip mode information to the first user.
6. The method of claim 4, further comprising:
inputting the first road section information and the real-time congestion degree information of the first road section into a neural network model, wherein the neural network model is obtained by training multiple groups of training data, and each group of training data in the multiple groups comprises: first route information contained in the first route, real-time congestion degree information of the first route, and identification information for identifying a third time;
and obtaining output information of the neural network model, wherein the output information comprises a first output result and a second output result, the first output result is that the third time information is smaller than the first time, and the second output result is that the third time information is larger than the first time.
7. The method of claim 6, wherein the method comprises:
when the output information is the first output result, constructing a training data set according to first route segment information contained in the first route and real-time congestion degree information of the first route segment;
and training the neural network model according to the training data set to enable the neural network model to reach a convergence state.
8. An apparatus for automatically planning an on-duty route, wherein the apparatus comprises:
a first obtaining unit, configured to obtain first working time information of the first user;
a second obtaining unit configured to obtain first position information of a first user work place;
a third obtaining unit, configured to obtain second location information of the first user;
a fourth obtaining unit, configured to obtain first route information, where the first route information is closest route information to the first area range;
a first sending unit, configured to send the first route to the first user.
9. An apparatus for automatically planning a work route, comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the steps of the method of any one of claims 1-7 when executing the program.
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| CN202011050796.3A CN112116170A (en) | 2020-09-29 | 2020-09-29 | Method and device for automatically planning work route |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN113077087A (en) * | 2021-03-31 | 2021-07-06 | 华录智达科技股份有限公司 | Route planning method and system based on public transport means |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113077087A (en) * | 2021-03-31 | 2021-07-06 | 华录智达科技股份有限公司 | Route planning method and system based on public transport means |
| CN113077087B (en) * | 2021-03-31 | 2024-01-26 | 华录智达科技股份有限公司 | Path planning method and system based on public transport means |
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