CN107169555B - Gate prompting method and device, storage medium and terminal - Google Patents
Gate prompting method and device, storage medium and terminal Download PDFInfo
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- CN107169555B CN107169555B CN201710526157.1A CN201710526157A CN107169555B CN 107169555 B CN107169555 B CN 107169555B CN 201710526157 A CN201710526157 A CN 201710526157A CN 107169555 B CN107169555 B CN 107169555B
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Abstract
The embodiment of the invention discloses a gate prompting method, a device, a storage medium and a terminal; the embodiment of the invention adopts the steps of obtaining the current system time, determining the target historical time period corresponding to the system time, obtaining the historical pedestrian flow throughput of each gate in the target historical time period, estimating the current pedestrian flow throughput of each gate according to the historical pedestrian flow, selecting the target gate with the current pedestrian flow throughput meeting the preset conditions from the gates, and marking the gate identifier of the target gate in the gate distribution diagram to prompt a user; according to the scheme, the current people flow throughput of each gate can be estimated through the terminal, and the gate mark with the people flow throughput meeting the preset condition is selected from the gate distribution diagram to prompt a user, for example, the gate with the less people flow throughput is selected for marking, and the like, so that the intelligence of the terminal is improved.
Description
Technical Field
The invention relates to the field of mobile communication, in particular to a gate prompting method, a gate prompting device, a storage medium and a terminal.
Background
With the development of terminal technology, mobile terminals have begun to change from simply providing telephony devices to a platform for running general-purpose software. The platform no longer aims at providing call management, but provides an operating environment including various application programs such as call management, game and entertainment, office events, mobile payment and the like, and with a great deal of popularization, the platform has been deeply developed to the aspects of life and work of people.
At present, when a user takes a subway, the user needs to swipe a card on a gate to enter a subway station taking area. However, the throughput of people for each gate in a subway station is different, and some people are more and some people are less. A user urgently wants to know the people flow passing condition of each gate through a terminal, and then selects a proper gate to quickly enter a subway station riding area. However, the current terminal cannot be realized, and the intelligence of the terminal is poor.
Disclosure of Invention
The embodiment of the invention provides a gate prompting method, a gate prompting device, a storage medium and a terminal, which can improve the intelligence of the terminal.
In a first aspect, an embodiment of the present invention provides a gate prompting method, including:
acquiring current system time;
determining a target historical time period corresponding to the system time;
acquiring the historical pedestrian flow throughput of each gate in the target historical time period;
estimating the current people flow throughput of each gate according to the historical people flow;
and selecting a target gate with the current people flow throughput meeting preset conditions from the gates, and marking the gate identification of the target gate in a gate distribution diagram to prompt a user.
In a second aspect, an embodiment of the present invention further provides a gate prompting device, including:
the time acquisition module is used for acquiring the current system time;
the determining module is used for determining a target historical time period corresponding to the system time;
the people flow obtaining module is used for obtaining the historical people flow throughput of each gate in the target historical time period;
the people flow estimation module is used for estimating the current people flow throughput of each gate according to the historical people flow;
and the prompt module is used for selecting a target gate with the current people flow throughput meeting the preset condition from the gates, and marking the gate identifier of the target gate in the gate distribution diagram so as to prompt a user.
In a third aspect, the present invention further provides a storage medium, where the storage medium stores instructions, and the instructions, when executed by a processor, implement the steps of the gate prompt method provided in any embodiment of the present invention.
In a fourth aspect, an embodiment of the present invention further provides a terminal, including a memory and a processor, where the memory stores instructions, and the processor loads the instructions to execute the steps of the gate prompt method provided in any one of the embodiments of the present invention.
The embodiment of the invention obtains the current system time, determines the target historical time period corresponding to the system time, obtains the historical pedestrian flow throughput of each gate in the target historical time period, estimates the current pedestrian flow throughput of each gate according to the historical pedestrian flow, selects the target gate with the current pedestrian flow throughput meeting the preset conditions from the gates, and marks the gate identifier of the target gate in the gate distribution diagram to prompt the user. According to the scheme, the current people flow throughput of each gate can be estimated through the terminal, and the gate mark with the people flow throughput meeting the preset condition is selected from the gate distribution diagram to prompt a user, for example, the gate with the less people flow throughput is selected for marking, and the like, so that the intelligence of the terminal is improved.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
Fig. 1 is an architecture diagram of a gate prompt system according to an embodiment of the present invention.
Fig. 2 is a schematic flow chart of a gate prompt method according to an embodiment of the present invention.
Fig. 3 is a distribution diagram of the gate according to the embodiment of the present invention.
Fig. 4 is another schematic flow chart of gate prompt according to an embodiment of the present invention.
Fig. 5 is a distribution diagram of another gate according to an embodiment of the present invention.
Fig. 6 is a schematic structural diagram of a gate prompting device according to an embodiment of the present invention.
Fig. 7 is another schematic structural diagram of a gate prompting device according to an embodiment of the present invention.
Fig. 8 is a schematic structural diagram of a gate prompting device according to an embodiment of the present invention.
Fig. 9 is a schematic structural diagram of a terminal according to an embodiment of the present invention.
Fig. 10 is a schematic structural diagram of a terminal according to an embodiment of the present invention.
Detailed Description
Referring to the drawings, wherein like reference numbers refer to like elements, the principles of the present invention are illustrated as being implemented in a suitable computing environment. The following description is based on illustrated embodiments of the invention and should not be taken as limiting the invention with regard to other embodiments that are not detailed herein.
In the description that follows, specific embodiments of the present invention are described with reference to steps and symbols executed by one or more computers, unless otherwise indicated. Accordingly, these steps and operations will be referred to, several times, as being performed by a computer, the computer performing operations involving a processing unit of the computer in electronic signals representing data in a structured form. This operation transforms the data or maintains it at locations in the computer's memory system, which may be reconfigured or otherwise altered in a manner well known to those skilled in the art. The data maintains a data structure that is a physical location of the memory that has particular characteristics defined by the data format. However, while the principles of the invention have been described in language specific to above, it is not intended to be limited to the specific form set forth herein, but on the contrary, it is to be understood that various steps and operations described hereinafter may be implemented in hardware.
The principles of the present invention are operational with numerous other general purpose or special purpose computing, communication environments or configurations. Examples of well known computing systems, environments, and configurations that may be suitable for use with the invention include, but are not limited to, hand-held telephones, personal computers, servers, multiprocessor systems, microcomputer-based systems, mainframe-based computers, and distributed computing environments that include any of the above systems or devices.
The details will be described below separately.
The embodiment will be described from the perspective of a gate prompting device, which may be specifically integrated in a terminal, where the terminal may be an electronic device such as a smart phone and a tablet computer.
The embodiment of the invention provides a gate prompting system, which comprises a terminal, wherein the terminal is integrated with any gate prompting device provided by the embodiment of the invention. In addition, the system may also include other devices, such as servers and the like.
For example, referring to fig. 1, an embodiment of the invention provides a gate prompt system; the gate prompt system can comprise a terminal 11 and a server 12, wherein the terminal 11 and the server 12 are connected through a network.
The terminal 11 obtains the current system time, determines a target historical time period corresponding to the system time, then obtains the historical people flow throughput of each gate in the target historical time period from the server 12, the terminal 11 estimates the current people flow throughput of each gate according to the historical people flow, the terminal 11 selects a target gate with the current people flow throughput meeting preset conditions from the gates, and marks the gate identifier of the target gate in a gate distribution diagram to prompt a user. The scheme can predict the current people flow throughput of each gate through the terminal, and select the gate mark with the people flow throughput meeting the preset conditions in the gate distribution diagram to prompt the user
Any of the following transmission protocols may be employed, but are not limited to, between the terminal 11 and the server 12: HTTP (Hypertext Transfer Protocol), FTP (File Transfer Protocol), P2P (Peer to Peer, Peer to Server and Peer), P2SP (Peer to Server & Peer), and the like.
In an embodiment, an embodiment of the present invention provides a gate prompting method, and with reference to fig. 2, a specific flow of the gate prompting method is as follows:
101. the current system time is obtained.
For example, the terminal may obtain the current system time.
102. And determining a target historical time period corresponding to the system time.
The target historical time period corresponding to the system time may be a historical time period in which the system time falls.
The historical time period is a time period before the current time, and the historical time period may be divided in various ways, for example, the time of each day in the past may be divided to obtain the historical time period. For example, the historical time period may be 8: 00-9: 00. 10:00-10:30, and so on.
For another example, the time of each month in the past may be divided to obtain the historical time periods, for example, the historical time periods may be 1 to 3, 4 to 5, 20 to 23, and so on.
103. And acquiring the historical pedestrian flow throughput of each gate in the target historical time period.
The gate can be a gate of a subway station, a gate of a high-speed rail station or a gate of other traffic stations. For example, the gate can be a gate of a subway station, and can be an inbound gate, an outbound gate, and the like.
The historical throughput may be the number of users passed by the gate in a past time period (i.e., a historical time period), or may also be the number of users passed by the gate in a unit time in the historical time period, such as the number of users passed per minute, and so on.
In one embodiment, when the historical time period is obtained by dividing the past time of day, the historical throughput of the gate in the target historical time period may include: historical people flow throughput of the gate in a target historical time period every day in the past; for example, historical throughput of people in the past week for the target historical time period may be included. For example, the historical traffic throughput of the Monday gate in the target historical time period, the historical traffic throughput of the Tuesday gate in the target historical time period, and the historical traffic throughput of the … … Sunday gate in the target historical time period.
For another example, the historical throughput may specifically include the historical throughput of yesterday gate in the target historical period, the historical throughput of former gate in the target historical period, and the like. For example, if the current time is 6/14, the historical throughput of gate No. 6/13 in the target historical period, the historical throughput of gate No. 6/12 in the target historical period, the historical throughput of gate No. 6/11 in the target historical period … … 6, and so on can be obtained.
104. And predicting the current people flow throughput of each gate according to the historical people flow.
In one embodiment, to improve the accuracy of the estimation of the current people flow throughput, the historical people flow throughput of the gates in the past each day in the historical time period can be weighted, such as weighted sum, and then the current people flow throughput of each gate can be estimated based on the weighted sum. For example, the step of "predicting the current throughput of people per gate based on the historical flow of people" may include:
acquiring a weighted sum of the historical pedestrian flow throughput of the gate in the target historical time according to the historical pedestrian flow throughput of the gate in the target historical time period every day in the past and a corresponding weight value every day in the past;
and estimating the current people flow throughput of each gate according to the weighted sum.
For example, when the current system time is 9 points at 6/month and 13/month in 2017, it may be determined that 9 points fall into the historical time period of 8:30-9:10, taking the throughput of people in the gate 8:30-9:10 for the last five days as an example, the throughput of people in the gate 8:30-9:10 for 6/month and 12/month, the throughput of people in the gate 8:30-9:10 for 6/month and 11/month, the throughput of people in the gate 8:30-9:10 for 6/month and 10/month, the throughput of people in the gate 8:30-9:10 for 6/month and 9/month, the throughput of people in the gate 8:30-9:10 for 6/month and 8/month and 9/month and 10/8/month, and the throughput of people in the gate 8:30-9:10 for 6/month and 7/month may be obtained. Then, the weighted sum of the historical people flow throughput of the gate in the target time period in the past five days is calculated, as calculated by the formula a p1+ b p2+ c p3+ d p4+ e p5, wherein p1, p2, p3, p4 and p5 are weighted values corresponding to 11 days in 6 months, 10 days in 6 months, 9 days in 6 months, 8 days in 6 months and 7 days in 6 months respectively.
The weighting value corresponding to each day in the past can be set in various ways, for example, the weighting value can be set based on the number of weeks corresponding to each day. For example, monday corresponds to a weight value of 10%, tuesday corresponds to a weight value of 20%, tuesday corresponds to a weight value of 30%, and so on.
The weighted sum may be a weighted average value, that is, the weighted value corresponding to each day in the past is the same, for example, p1 ═ p2 ═ p3 ═ p4 ═ p5, at this time, the historical average throughput of the gate in the target history period can be obtained by the formula a × p1+ b × p2+ c × p3+ d × p4+ e × p 5.
In the embodiment of the invention, the current people flow throughput of each gate can be estimated based on the historical people flow throughput, and the current people flow throughput can be quickly acquired under the condition that the current people flow throughput cannot be acquired through the terminal. In one embodiment, to improve the accuracy of estimating the throughput of the current people stream, the throughput of the current people stream of the gate can be estimated based on the preset people stream increase ratio corresponding to each gate. That is, the step of "estimating the current throughput of people per gate according to the historical throughput of people" may include:
determining the pedestrian flow increase proportion corresponding to the gate;
and estimating the current people flow throughput of the gate according to the historical people flow throughput and the people flow increase proportion.
For example, when the historical people flow throughput of a certain gate in a target historical time period is 200, if the people flow increase proportion corresponding to the gate is determined to be 20%, the current people flow throughput of the gate is estimated to be 200+200 × 20% — 240.
The traffic increase ratio is a percentage of the current time relative to the traffic corresponding to the historical traffic, such as 10%, 20%, etc. In an embodiment, the people flow increase proportion corresponding to each gate can be preset, so that when the current people flow throughput is estimated subsequently, the people flow increase proportion corresponding to the gate can be directly extracted for calculation, and at this time, the people flow increase proportion is the preset people flow increase proportion.
In one embodiment, the traffic increase rate corresponding to the gate may be determined based on the position of the gate, for example, the gate may be determined to be in the entrance area, and the traffic increase rate may be determined based on the entrance area. That is, the step of "determining the preset people flow increase ratio corresponding to the gate" may include:
determining an inlet area where a gate is located;
and acquiring a preset pedestrian flow increase proportion corresponding to the inlet area to obtain the pedestrian flow increase proportion corresponding to the gate.
The entrance area may be an entrance area for a user to enter a station, such as an entrance area of a subway station, an entrance area of a high-speed railway station, or the like.
In an embodiment, the predetermined human flow increase ratio corresponding to the inlet area may be used as the human flow increase ratio corresponding to the gate. For example, when the gate is located in the entry area a of the subway station, the predetermined traffic increase ratio corresponding to the entry area a may be obtained, for example, 30%, and then the traffic increase ratio corresponding to the gate is 30%.
In an embodiment, the increase of people flow of each gate in a historical period of time of the user terminal can be recorded through the terminal. Then, the people flow increase amount of each gate can be analyzed and learned by using a learning algorithm, and the terminal generates the people flow increase proportion of each gate through the self-analysis and learning processing process. Therefore, subsequently, the pedestrian flow increase proportion corresponding to the gate can be directly obtained from the learning result.
105. And selecting a target gate with the current people flow throughput meeting preset conditions from the gates, and marking the gate identification of the target gate in a gate distribution diagram to prompt a user.
The preset conditions are various and can be set according to actual requirements; for example, to select a gate with a low throughput, the preset conditions may include: the current throughput of people flow is less than a preset threshold value; at this time, in the step "selecting the target gate with the current people flow throughput meeting the preset condition from the gates", the target gate with the current people flow throughput smaller than the preset threshold value can be selected from the gates.
For another example, to select a gate with a greater throughput, the preset conditions may include: the current people flow throughput is greater than the preset threshold, and at this time, the step of selecting the target gate with the current people flow throughput meeting the preset condition from the gates can select the target gate with the current people flow throughput greater than the preset threshold from the gates.
In an embodiment, in order to improve the accuracy of gate marking and prompting, in this embodiment, when a gate with a smaller throughput of people flow is selected, the increase of people flow may be estimated. Specifically, the step of "selecting a target gate with the current people flow throughput meeting the preset condition from the gates" may include:
selecting candidate gate machines with the current people flow throughput less than a preset threshold value from the gate machines;
acquiring future people flow increment corresponding to the candidate gate;
acquiring the previous pedestrian flow excess of the candidate gate according to the current pedestrian flow throughput and the future pedestrian flow increment of the candidate gate;
and selecting a target gate with the future people flow throughput less than the preset threshold from the candidate gates.
For example, by calculation: the current people flow throughput of the gate 1 is 100, the current people flow throughput of the gate 2 is 80, the current people flow throughput of the gate 3 is 50, the current people flow throughput of the gate 4 is 30, and the current people flow throughput of the gate 5 is 20, and if the preset threshold value is 60, then the gate 3, the gate 4, and the gate 5 can be selected as candidate gates. Then, the future people flow increment amounts corresponding to the gate 3, the gate 4 and the gate 5 are respectively 20, 10 and 5. At this time, the future people flow throughput of the gate can be calculated based on the current people flow throughput and the future people flow increase amount of the gate, such as 50+ 20-70, 30+ 10-40, 20+ 5-25 of the gate 3, the gate 4, and the gate 5, respectively.
After obtaining the future throughput of gates 3, 4, 5, gates with a future throughput of less than a predetermined threshold of 60 can be selected as target gates, where gates 4 and 5 are obviously selected as target gates.
Wherein the future people flow increase is the increase of the people flow throughput of the gate at the future time. The manner of obtaining the future people flow increase may be various, for example, in an embodiment, in order to improve the accuracy of the future people flow increase, the future people flow increase may be obtained based on the distance between the terminal and the gate. That is, the step "obtaining the future people flow increase amount corresponding to the candidate gate" may include:
acquiring the distance between the current terminal and the candidate gate;
acquiring the estimated pedestrian flow increment corresponding to the distance;
and obtaining the future pedestrian flow increment corresponding to the candidate gate according to the estimated pedestrian flow increment corresponding to the distance.
The distance between the terminal and the candidate gate may be a straight line distance, a route distance on a map, or the like.
In one embodiment, the estimated pedestrian flow increase can be directly used as the future pedestrian flow increase; for example, when the distance between the terminal and the candidate gate is 100m, the estimated people flow increase amount corresponding to 100m may be 10, and at this time, the future people flow increase amount of the candidate gate is 10.
For example, by calculation: the current people flow throughput of the gate 1 is 100, the current people flow throughput of the gate 2 is 80, the current people flow throughput of the gate 3 is 50, the current people flow throughput of the gate 4 is 30, and the current people flow throughput of the gate 5 is 20, and if the preset threshold value is 60, then the gate 3, the gate 4, and the gate 5 can be selected as candidate gates. Then, the distances between the terminal and the gates 3, 4, and 5 can be obtained, and the estimated pedestrian flow increase amount corresponding to each distance can be obtained, so as to obtain the future pedestrian flow increase amount corresponding to the gates 3, 4, and 5, such as 5, 40, and 8, respectively.
At this time, the future people flow throughput of the gate can be calculated based on the current people flow throughput and the future people flow increase of the gate, such as the previous people flow throughputs of the gate 3, the gate 4 and the gate 5 are respectively 50+ 5-55, 30+ 40-70 and 20+ 8-28. After obtaining the future throughput of the gates 3, 4, 5, the gate with a future throughput of people less than the predetermined threshold of 60 can be selected as the target gate, where it is obvious to select the gates 3 and 5 as the target gate.
In an embodiment, different distances between the user terminal and the gate within a historical period of time and the increase of people flow corresponding to the different distances can be recorded through the terminal. Then, different distances between the terminal and the gate and people flow increase amounts corresponding to the distances can be analyzed and learned by using a learning algorithm, and the terminal generates the people flow increase amounts generally corresponding to each distance through a self-analysis and learning processing process. At this time, after the distance between the terminal and the candidate gate is obtained, the corresponding estimated increase of the people flow can be obtained from the learning result.
The gate distribution map according to the embodiment of the present invention may include information such as gate identifiers of gates, for example, the gate distribution map may further include exits of subway stations, intra-station routes, and the like. The gate identifier may include an icon or the like corresponding to the gate.
When the embodiment of the invention determines that the gate is at the target gate, the gate identifier of the target gate can be marked in the gate distribution diagram to remind the user that the throughput of the gate meets a certain condition, such as more or less throughput of people.
The identification may be marked in various ways, for example, by text, color, and the like.
Referring to fig. 3, for example, when the target gate is the inbound gate a, the inbound gate b, or the inbound gate c, the icon of the inbound gate a, the inbound gate b, or the inbound gate c may be marked by words in the gate map to prompt the user that the inbound gate a, the inbound gate b, or the inbound gate c has less traffic, e.g. by "clear", indicating less traffic, and "congested" indicating more traffic. In the figure, gates a, b, c, d, e and f are inbound gates, and gates h, i, k and j are outbound gates.
As can be seen from the above, in the embodiments of the present invention, the current system time is obtained, the target historical time period corresponding to the system time is determined, the historical throughput of people in the target historical time period of each gate is obtained, the current throughput of people of each gate is estimated according to the historical throughput of people, the target gate with the current throughput of people meeting the preset condition is selected from the gates, and the gate identifier of the target gate is marked in the gate distribution map to prompt the user. According to the scheme, the current people flow throughput of each gate can be estimated through the terminal, and the gate mark with the people flow throughput meeting the preset condition is selected from the gate distribution diagram to prompt a user, for example, the gate with the less people flow throughput is selected for marking, and the like, so that the intelligence of the terminal is improved, and the user can conveniently and quickly pass through the gate.
In an embodiment, another gate prompting method is further provided in the embodiment of the present invention, as shown in fig. 4, the embodiment introduces the gate prompting method of the present invention based on the system shown in fig. 1, and the specific flow thereof is as follows:
201. the terminal acquires the current system time.
202. And the terminal determines a target historical time period corresponding to the system time.
The target historical time period corresponding to the system time may be a historical time period in which the system time falls.
The historical time period is a time period before the current time, and the historical time period may be divided in various ways, for example, the time of each day in the past may be divided to obtain the historical time period. For example, the historical time period may be 8: 50-9: 00. 10:10-10:40, and so on.
203. The terminal obtains the historical people flow throughput of each gate in the target historical time period from the server.
In the embodiment of the invention, the gate can be a gate of a subway station, a gate of a high-speed rail station or a gate of other traffic stations. For example, the gate can be a gate of a subway station, and can be an inbound gate, an outbound gate, and the like.
The historical throughput may be the number of users that the gate has passed in a past period of time (i.e., the historical period of time), or may be the number of users that the gate has passed per unit of time in the historical period of time, such as the number of users passed per minute, etc.
For example, historical throughput may include: historical people flow throughput of the gate in a target historical time period every day in the past; for example, historical throughput of people in the past week for the target historical time period may be included.
For example, if the current time is 9 o' clock at 5 months 13, which falls between 8:30 and 9:20, then the historical throughput of people in 8:30-9:20 for 5 months 12 gate, 8:30-9:20 for 5 months 11 gate, etc. can be obtained.
204. And the terminal estimates the current people flow throughput of each gate according to the historical people flow.
For example, the terminal may add a weighted sum of historical people flow throughputs of gates over historical time periods each day in the past, and then predict the current people flow throughput of each gate based on the weighted sum.
For example, the terminal calculates the weighted sum of the historical people flow throughput of the gate in the last five days in the target time period, for example, by the formula a × p1+ b × p2+ c × p3+ d × p4+ e × p5, where p1, p2, p3, p4, and p5 are weighted values corresponding to the last day, for example, weighted values corresponding to 11 days in 6 months, 10 days in 6 months, 9 days in 6 months, 8 days in 6 months, and 7 days in 6 months, respectively.
For example, the terminal may further estimate the current people flow throughput of the gates based on a preset people flow increase ratio corresponding to each gate, specifically, may determine the people flow increase ratio corresponding to the gate, and estimate the current people flow throughput of the gate according to the historical people flow throughput and the people flow increase ratio.
205. And the terminal selects a candidate gate with the current people flow throughput less than a preset threshold from the gates.
In order to select the gate with smaller throughput, the embodiment may first select the gate with the current throughput smaller than the preset threshold as the candidate gate.
In an embodiment, the terminal may also select a candidate gate with a current throughput greater than a corresponding threshold. So as to select the gate with larger throughput of people flow.
206. And the terminal acquires the previous pedestrian flow excess of the candidate gate according to the current pedestrian flow throughput and the future pedestrian flow increment of the candidate gate.
For example, the current people flow throughput of the gate is 100, the future people flow increment is 30, and the future people flow throughput of the candidate gate is 130.
Wherein the future people flow increase is the increase of the people flow throughput of the gate at the future time. For example, in an embodiment, in order to improve accuracy of the future people flow increase, the terminal may obtain a distance between the current terminal and the candidate gate, obtain an estimated people flow increase corresponding to the distance, and use the estimated people flow increase as the future people flow increase corresponding to the candidate gate.
207. And the terminal selects a target gate with the future people flow throughput less than the preset threshold from the candidate gates.
After the future people flow volume is obtained, the target gate with the future people flow volume smaller than the preset threshold value can be selected from the candidate gates again.
In one embodiment, the target gate with the future people flow throughput larger than the corresponding threshold value can be selected from the candidate gates again.
208. The terminal can mark the gate icon corresponding to the target gate in the gate distribution map to remind the user that the throughput of people of the target gate is low.
The gate distribution map according to the embodiment of the present invention may include information such as gate identifiers of gates, for example, the gate distribution map may further include exits of subway stations, intra-station routes, and the like.
The identification may be marked in various ways, for example, by text, color, and the like.
For example, referring to FIG. 5, icons of corresponding outbound gates, inbound gates in the gate profile may be marked to indicate that the gates are passing less or more traffic. For example, by "clear" is meant less traffic and by "congested" is meant more traffic. Other words may be used in other embodiments to indicate less or more throughput of people through the gate.
In the figure, gates a, b, c, d, e and f are inbound gates, and gates h, i, k and j are outbound gates.
As can be seen from the above, in the embodiments of the present invention, the current system time is obtained, the target historical time period corresponding to the system time is determined, the historical throughput of people in the target historical time period of each gate is obtained, the current throughput of people of each gate is estimated according to the historical throughput of people, the target gate with the current throughput of people meeting the preset condition is selected from the gates, and the gate identifier of the target gate is marked in the gate distribution map to prompt the user. According to the scheme, the current people flow throughput of each gate can be estimated through the terminal, and the gate mark with the people flow throughput meeting the preset condition is selected from the gate distribution diagram to prompt a user, for example, the gate with the less people flow throughput is selected for marking, and the like, so that the intelligence of the terminal is improved, and the user can conveniently and quickly pass through the gate.
In order to better implement the gate prompting method provided by the embodiment of the invention, a gate prompting device is further provided in an embodiment. The terms are the same as those in the above-mentioned gate prompt method, and the specific implementation details can refer to the description in the method embodiment.
As shown in fig. 6, the gate prompting device 30 may include: a time acquisition module 301, a determination module 302, a people flow acquisition module 303, a people flow estimation module 304 and a prompt module 305;
a time obtaining module 301, configured to obtain a current system time;
a determining module 302, configured to determine a target historical time period corresponding to the system time;
a people flow obtaining module 303, configured to obtain historical people flow throughput of each gate in the target historical time period;
the people flow estimation module 304 is used for estimating the current people flow throughput of each gate according to the historical people flow;
and the prompting module 305 is used for selecting a target gate with the current people flow throughput meeting a preset condition from the gates, and marking the gate identifier of the target gate in a gate distribution diagram so as to prompt a user.
In one embodiment, historical throughput comprises: historical people flow throughput of the gate in a target historical time period every day in the past; the people flow estimation module is used for: acquiring a weighted sum of the historical pedestrian flow throughput of the gate in the target historical time according to the historical pedestrian flow throughput of the gate in the target historical time period every day in the past and a corresponding weight value every day in the past; and estimating the current people flow throughput of each gate according to the weighted sum.
In an embodiment, referring to fig. 7, the hint module 305 may include: selecting a sub-module 3051 and a marking sub-module 3052;
the selecting submodule 3051 is configured to:
selecting candidate gate machines with the current people flow throughput less than a preset threshold value from the gate machines;
acquiring future people flow increment corresponding to the candidate gate;
acquiring the previous pedestrian flow excess of the candidate gate according to the current pedestrian flow throughput and the future pedestrian flow increment of the candidate gate;
selecting a target gate with the future people flow throughput less than the preset threshold from the candidate gates;
the marking sub-module 3052 is configured to mark the gate identifier of the target gate in the gate profile to prompt the user.
In an embodiment, the selecting sub-module 3051 may be configured to:
acquiring the distance between the current terminal and the candidate gate;
acquiring the estimated pedestrian flow increment corresponding to the distance;
and obtaining the future pedestrian flow increment corresponding to the candidate gate according to the estimated pedestrian flow increment corresponding to the distance.
In one embodiment, referring to fig. 8, the people flow estimation module 304 includes: a ratio determination submodule 3041 and an estimation submodule 3042;
the proportion determining submodule 3041 is configured to determine a people flow increase proportion corresponding to the gate;
the estimation submodule 3042 is configured to estimate the current traffic of the gate according to the historical traffic and the traffic increase ratio.
In an embodiment, the ratio determination submodule 3041 is configured to: determining an inlet area where a gate is located; and acquiring a preset pedestrian flow increase proportion corresponding to the inlet area to obtain the pedestrian flow increase proportion corresponding to the gate.
In specific implementation, the above modules may be implemented as independent entities, or may be combined arbitrarily to be implemented as the same or several entities, and specific implementation of the above modules may refer to the foregoing method embodiments, which are not described herein again.
As can be seen from the above, the gate prompting device 30 according to the embodiment of the present invention obtains the current system time through the time obtaining module 301, then the determining module 302 determines the target historical time period corresponding to the system time, the people flow obtaining module 303 obtains the historical people flow throughput of each gate in the target historical time period, the people flow estimating module 304 estimates the current people flow throughput of each gate according to the historical people flow, the prompting module 305 selects the target gate whose current people flow throughput meets the preset condition from the gates, and marks the gate identifier of the target gate in the gate distribution diagram to prompt the user. According to the scheme, the current people flow throughput of each gate can be estimated through the terminal, and the gate mark with the people flow throughput meeting the preset condition is selected from the gate distribution diagram to prompt a user, for example, the gate with the less people flow throughput is selected for marking, and the like, so that the intelligence of the terminal is improved.
In an embodiment, the present invention further provides a storage medium, where the storage medium stores instructions, and the instructions, when executed by a processor, implement the steps of the gate prompt method provided in any one of the embodiments of the present invention.
In an embodiment, referring to fig. 9, the present invention further provides a terminal 400, including a memory 401 and a processor 402, where the memory 401 stores instructions, and the processor 402 loads the instructions to perform the steps of the gate prompting method provided in any of the embodiments of the present invention.
Referring to fig. 10, fig. 10 is a schematic view of a terminal structure according to an embodiment of the present invention. The terminal 500 may include Radio Frequency (RF) circuitry 501, memory 502 including one or more computer-readable storage media, input unit 503, display unit 504, sensor 504, audio circuitry 506, Wireless Fidelity (WiFi) module 507, processor 508 including one or more processing cores, and power supply 509. Those skilled in the art will appreciate that the terminal structure shown in fig. 10 is not intended to be limiting and may include more or fewer components than those shown, or some components may be combined, or a different arrangement of components.
The rf circuit 501 may be used for receiving and transmitting information, or receiving and transmitting signals during a call, and in particular, receives downlink information of a base station and then sends the received downlink information to one or more processors 508 for processing; in addition, data relating to uplink is transmitted to the base station.
The memory 502 may be used to store applications and data. Memory 502 stores applications containing executable code. The application programs may constitute various functional modules. The processor 508 executes various functional applications and data processing by executing application programs stored in the memory 502. The memory 502 may mainly include a program storage area and a data storage area, wherein the program storage area may store an operating system, an application program required by at least one function (such as a sound playing function, an image playing function, etc.), and the like; the storage data area may store data (such as audio data, a phonebook, etc.) created according to the use of the terminal, etc. Further, the memory 502 may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other volatile solid state storage device. Accordingly, the memory 502 may also include a memory controller to provide the processor 508 and the input unit 503 access to the memory 502.
The input unit 503 may be used to receive input numbers, character information, or user characteristic information (such as a fingerprint), and generate a keyboard, mouse, joystick, optical, or trackball signal input related to user setting and function control.
The display unit 504 may be used to display information input by or provided to the user and various graphical user interfaces of the terminal, which may be made up of graphics, text, icons, video, and any combination thereof. The display unit 504 may include a display panel.
Although in FIG. 10 the touch sensitive surface and the display panel are two separate components to implement input and output functions, in some embodiments the touch sensitive surface may be integrated with the display panel to implement input and output functions.
The terminal may also include at least one sensor 505, such as light sensors, motion sensors, and other sensors.
The audio circuit 506 may provide an audio interface between the user and the terminal through a speaker, microphone.
Wireless fidelity (WiFi) belongs to short-distance wireless transmission technology, and the terminal can help the user to receive and send e-mail, browse web pages, access streaming media and the like through a wireless fidelity module 507, and provides wireless broadband internet access for the user.
The processor 508 is a control center of the terminal, connects various parts of the entire terminal using various interfaces and lines, performs various functions of the terminal and processes data by running or executing an application program stored in the memory 502 and calling data stored in the memory 502, thereby performing overall monitoring of the terminal. Optionally, processor 508 may include one or more processing cores; preferably, the processor 508 may integrate an application processor, which primarily handles operating systems, user interfaces, application programs, etc., and a modem processor, which primarily handles wireless communications. It will be appreciated that the modem processor described above may not be integrated into the processor 508.
The terminal also includes a power supply 509 (such as a battery) for powering the various components. Although not shown in fig. 10, the terminal may further include a camera, a bluetooth module, and the like, which are not described in detail herein.
Wherein the processor 508 loads instructions or programs in the memory 502 to implement the following steps:
the method comprises the steps of obtaining current system time, determining a target historical time period corresponding to the system time, obtaining historical people flow throughput of each gate in the target historical time period, estimating the current people flow throughput of each gate according to historical people flow, selecting a target gate with the current people flow throughput meeting preset conditions from the gates, and marking gate identification of the target gate in a gate distribution diagram to prompt a user. The scheme can predict the current people flow throughput of each gate through the terminal, and select the gate mark with the people flow throughput meeting the preset conditions in the gate distribution diagram to prompt the user.
In one embodiment, the historical throughput comprises: historical people flow throughput of the gate in a target historical time period every day in the past; the processor 508 may implement the following steps:
acquiring a weighted sum of the historical pedestrian flow throughput of the gate in the target historical time according to the historical pedestrian flow throughput of the gate in the target historical time period every day in the past and a corresponding weight value every day in the past;
and predicting the current people flow throughput of each gate according to the weighted sum.
In one embodiment, the processor 508 may implement the following steps:
selecting candidate gate machines with the current people flow throughput less than a preset threshold value from the gate machines;
acquiring future people flow increment corresponding to the candidate gate;
obtaining the future people flow throughput of the candidate gate according to the current people flow throughput and the future people flow increment of the candidate gate;
and selecting a target gate with the future people flow throughput less than the preset threshold value from the candidate gates.
In one embodiment, the processor 508 may implement the following steps:
acquiring the distance between the current terminal and the candidate gate;
acquiring an estimated pedestrian flow increment corresponding to the distance;
and obtaining the future pedestrian flow increment corresponding to the candidate gate according to the estimated pedestrian flow increment corresponding to the distance.
In one embodiment, the processor 508 may implement the following steps:
determining the pedestrian flow increase proportion corresponding to the gate;
and estimating the current people flow throughput of the gate according to the historical people flow throughput and the people flow increase proportion.
In one embodiment, the processor 508 may implement the following steps:
determining an inlet area where a gate is located;
and acquiring a preset pedestrian flow increase proportion corresponding to the inlet area to obtain the pedestrian flow increase proportion corresponding to the gate.
The terminal 500 of the embodiment of the invention acquires the current system time, determines the target historical time period corresponding to the system time, acquires the historical pedestrian flow throughput of each gate in the target historical time period, estimates the current pedestrian flow throughput of each gate according to the historical pedestrian flow, selects the target gate with the current pedestrian flow throughput meeting the preset conditions from the gates, and marks the gate identifier of the target gate in the gate distribution diagram to prompt the user. According to the scheme, the current people flow throughput of each gate can be estimated through the terminal, and the gate mark with the people flow throughput meeting the preset condition is selected from the gate distribution diagram to prompt a user, for example, the gate with the less people flow throughput is selected for marking, and the like, so that the intelligence of the terminal is improved.
It should be noted that, as one of ordinary skill in the art would understand, all or part of the steps in the various methods of the above embodiments may be implemented by relevant hardware instructed by a program, where the program may be stored in a computer-readable storage medium, such as a memory of a terminal, and executed by at least one processor in the terminal, and during the execution, the flow of the embodiments such as the information distribution method may be included. Among others, the storage medium may include: read Only Memory (ROM), Random Access Memory (RAM), magnetic or optical disks, and the like.
The detailed description of the method, the device, the storage medium and the terminal for gate prompt provided by the embodiment of the present invention is provided above, and each functional module may be integrated in one processing chip, or each module may exist alone physically, or two or more modules are integrated in one module. The integrated module can be realized in a hardware mode, and can also be realized in a software functional module mode. The principles and embodiments of the present invention have been described herein using specific examples, which are provided only to help understand the method and the core concept of the present invention; meanwhile, for those skilled in the art, according to the idea of the present invention, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present invention.
Claims (10)
1. A gate prompting method is characterized by comprising the following steps:
acquiring current system time;
determining a target historical time period corresponding to the system time;
acquiring the historical pedestrian flow throughput of each gate in the target historical time period;
estimating the current people flow throughput of each gate according to the historical people flow throughput;
selecting a target gate with the current people flow throughput meeting preset conditions from gates, and marking a gate identifier of the target gate in a gate distribution diagram to prompt a user;
wherein, select the target floodgate machine that current people's flow throughput satisfies the preset condition in the floodgate machine, include:
selecting candidate gate machines with the current people flow throughput less than a preset threshold value from the gate machines;
acquiring the distance between the current terminal and the candidate gate;
acquiring an estimated pedestrian flow increment corresponding to the distance;
acquiring future pedestrian flow increment corresponding to the candidate gate according to the estimated pedestrian flow increment corresponding to the distance;
obtaining the future people flow throughput of the candidate gate according to the current people flow throughput and the future people flow increment of the candidate gate;
and selecting a target gate with the future people flow throughput less than the preset threshold value from the candidate gates.
2. The gate prompt method of claim 1, wherein the historical throughput comprises: historical people flow throughput of the gate in a target historical time period every day in the past;
predicting the current people flow throughput of each gate according to the historical people flow throughput, comprising:
acquiring a weighted sum of the historical pedestrian flow throughput of the gate in the target historical time according to the historical pedestrian flow throughput of the gate in the target historical time period every day in the past and a corresponding weight value every day in the past;
and predicting the current people flow throughput of each gate according to the weighted sum.
3. The gate prompting method of claim 1, wherein predicting a current throughput of people for each gate based on the historical throughput of people comprises:
determining the pedestrian flow increase proportion corresponding to the gate;
and estimating the current people flow throughput of the gate according to the historical people flow throughput and the people flow increase proportion.
4. The gate prompting method according to claim 1, wherein determining the preset people flow increase ratio corresponding to the gate comprises:
determining an inlet area where a gate is located;
and acquiring a preset pedestrian flow increase proportion corresponding to the inlet area to obtain the pedestrian flow increase proportion corresponding to the gate.
5. A gate prompting device, comprising:
the time acquisition module is used for acquiring the current system time;
the determining module is used for determining a target historical time period corresponding to the system time;
the people flow obtaining module is used for obtaining the historical people flow throughput of each gate in the target historical time period;
the people flow estimation module is used for estimating the current people flow throughput of each gate according to the historical people flow throughput;
the prompt module is used for selecting a target gate with the current people flow throughput meeting a preset condition from the gates, and marking a gate identifier of the target gate in a gate distribution diagram so as to prompt a user;
wherein, the suggestion module includes: selecting a submodule and a marking submodule;
the selection submodule is used for: selecting candidate gate machines with the current people flow throughput less than a preset threshold value from the gate machines; acquiring future people flow increment corresponding to the candidate gate; obtaining the future people flow throughput of the candidate gate according to the current people flow throughput and the future people flow increment of the candidate gate; selecting a target gate with the future people flow throughput less than the preset threshold from the candidate gates;
the marking sub-module is used for marking the gate identifier of the target gate in the gate distribution map so as to prompt a user;
wherein the selecting submodule is configured to: acquiring the distance between the current terminal and the candidate gate; acquiring an estimated pedestrian flow increment corresponding to the distance; and obtaining the future pedestrian flow increment corresponding to the candidate gate according to the estimated pedestrian flow increment corresponding to the distance.
6. The gate prompt apparatus of claim 5, wherein the historical throughput comprises: historical people flow throughput of the gate in a target historical time period every day in the past;
the people flow estimation module is used for:
acquiring a weighted sum of the historical pedestrian flow throughput of the gate in the target historical time according to the historical pedestrian flow throughput of the gate in the target historical time period every day in the past and a corresponding weight value every day in the past;
and predicting the current people flow throughput of each gate according to the weighted sum.
7. The gate prompt apparatus of claim 5, wherein the people flow estimation module comprises: a proportion determination submodule and an estimation submodule;
the proportion determining submodule is used for determining the people flow increasing proportion corresponding to the gate;
and the estimation submodule is used for estimating the current people flow throughput of the gate according to the historical people flow throughput and the people flow increase proportion.
8. The gate prompt apparatus of claim 7, wherein the ratio determination submodule is configured to: determining an inlet area where a gate is located; and acquiring a preset pedestrian flow increase proportion corresponding to the inlet area to obtain the pedestrian flow increase proportion corresponding to the gate.
9. A storage medium storing instructions which, when executed by a processor, carry out the steps of the method according to any one of claims 1 to 4.
10. A terminal comprising a memory storing instructions and a processor loading the instructions to perform the steps of the method according to any one of claims 1 to 4.
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| CN108647832B (en) * | 2018-05-18 | 2020-08-04 | 辽宁工业大学 | Subway operation interval time control algorithm based on neural network |
| CN109979045B (en) * | 2018-12-21 | 2021-08-06 | 维沃移动通信有限公司 | Information output method and terminal equipment |
| CN115619048A (en) * | 2022-12-19 | 2023-01-17 | 成都智元汇信息技术股份有限公司 | Method and device for automatically planning rapid access to subway station |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104899650A (en) * | 2015-05-26 | 2015-09-09 | 成都中科大旗软件有限公司 | Method for predicting tourist flow volume of tourist attraction on basis of multi-source data analysis |
| CN105258694A (en) * | 2015-11-10 | 2016-01-20 | 上海斐讯数据通信技术有限公司 | Touring route generation method and system |
| CN105809276A (en) * | 2016-03-02 | 2016-07-27 | 江苏国泰智慧软件股份有限公司 | Number taking prediction method and system |
| CN106296951A (en) * | 2016-08-17 | 2017-01-04 | 成都仁通融合信息技术有限公司 | A kind of system for subway station people's flow monitoring |
| CN106897815A (en) * | 2017-01-17 | 2017-06-27 | 北京万相融通科技股份有限公司 | A kind of method of real-time estimate station volume of the flow of passengers trend |
Family Cites Families (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101751553B (en) * | 2008-12-03 | 2012-04-25 | 中国科学院自动化研究所 | Method for analyzing and predicting large-scale crowd density |
| US9348394B2 (en) * | 2010-09-14 | 2016-05-24 | Microsoft Technology Licensing, Llc | Managing computational workloads of computing apparatuses powered by renewable resources |
| CN102819768B (en) * | 2011-11-07 | 2015-08-19 | 金蝶软件（中国）有限公司 | The method and system that passenger flow data is analyzed |
| CN103793761B (en) * | 2014-01-24 | 2017-11-07 | 同济大学 | A kind of recognition methods of the abnormal volume of the flow of passengers factor of hinge |
| CN104540168B (en) * | 2014-12-30 | 2018-05-11 | 杭州华为数字技术有限公司 | A kind of method, apparatus and system for measuring crowded degree |
| CN106534493A (en) * | 2016-10-21 | 2017-03-22 | 上海斐讯数据通信技术有限公司 | People flow early warning method based on smart terminal and smart terminal |
-
2017
- 2017-06-30 CN CN201710526157.1A patent/CN107169555B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104899650A (en) * | 2015-05-26 | 2015-09-09 | 成都中科大旗软件有限公司 | Method for predicting tourist flow volume of tourist attraction on basis of multi-source data analysis |
| CN105258694A (en) * | 2015-11-10 | 2016-01-20 | 上海斐讯数据通信技术有限公司 | Touring route generation method and system |
| CN105809276A (en) * | 2016-03-02 | 2016-07-27 | 江苏国泰智慧软件股份有限公司 | Number taking prediction method and system |
| CN106296951A (en) * | 2016-08-17 | 2017-01-04 | 成都仁通融合信息技术有限公司 | A kind of system for subway station people's flow monitoring |
| CN106897815A (en) * | 2017-01-17 | 2017-06-27 | 北京万相融通科技股份有限公司 | A kind of method of real-time estimate station volume of the flow of passengers trend |
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