CN113990056B - Android-based PIS system - Google Patents
Android-based PIS system Download PDFInfo
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- CN113990056B CN113990056B CN202111256748.4A CN202111256748A CN113990056B CN 113990056 B CN113990056 B CN 113990056B CN 202111256748 A CN202111256748 A CN 202111256748A CN 113990056 B CN113990056 B CN 113990056B
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/18—Status alarms
- G08B21/24—Reminder alarms, e.g. anti-loss alarms
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B7/00—Signalling systems according to more than one of groups G08B3/00 - G08B6/00; Personal calling systems according to more than one of groups G08B3/00 - G08B6/00
- G08B7/06—Signalling systems according to more than one of groups G08B3/00 - G08B6/00; Personal calling systems according to more than one of groups G08B3/00 - G08B6/00 using electric transmission, e.g. involving audible and visible signalling through the use of sound and light sources
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04M—TELEPHONIC COMMUNICATION
- H04M1/00—Substation equipment, e.g. for use by subscribers
- H04M1/72—Mobile telephones; Cordless telephones, i.e. devices for establishing wireless links to base stations without route selection
- H04M1/724—User interfaces specially adapted for cordless or mobile telephones
- H04M1/72448—User interfaces specially adapted for cordless or mobile telephones with means for adapting the functionality of the device according to specific conditions
- H04M1/72454—User interfaces specially adapted for cordless or mobile telephones with means for adapting the functionality of the device according to specific conditions according to context-related or environment-related conditions
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04M—TELEPHONIC COMMUNICATION
- H04M1/00—Substation equipment, e.g. for use by subscribers
- H04M1/72—Mobile telephones; Cordless telephones, i.e. devices for establishing wireless links to base stations without route selection
- H04M1/724—User interfaces specially adapted for cordless or mobile telephones
- H04M1/72448—User interfaces specially adapted for cordless or mobile telephones with means for adapting the functionality of the device according to specific conditions
- H04M1/72457—User interfaces specially adapted for cordless or mobile telephones with means for adapting the functionality of the device according to specific conditions according to geographic location
Abstract
The invention discloses an android-based PIS (peer information system), which belongs to the technical field of rail transit and comprises a client, a prompting module, a cloud database, a behavior judging module, a processing module, a cloud database and a server; the method comprises the steps that a prompt module is used for obtaining an arrival station of a passenger, a mobile phone prompt mode is set, client account information of the passenger is obtained, the client account information, the arrival station and the mobile phone prompt mode of the passenger are integrated and marked as uploading information, and the uploading information is sent to a cloud database to be stored; when a passenger is about to arrive at a station, the behavior judgment module is used for judging the waking state of the passenger, and the mutual matching of the modules is used for solving the problem that the passenger can not sleep on the train without worry, so that the passenger can be timely prompted when the passenger reaches the terminal station, the passenger can be ensured to get off the train in time, and the problem that the passenger sits at the station due to sleeping, the fact that the passenger does not hear broadcast prompts and the like is avoided.
Description
Technical Field
The invention belongs to the technical field of rail transit, and particularly relates to a PIS (peer information system) based on android.
Background
Rail transit refers to a type of vehicle or transportation system in which operating vehicles need to travel on a particular rail. The most typical rail transit is a railway system consisting of conventional trains and standard railways. With the diversified development of train and railway technologies, rail transit is more and more types, and is not only distributed in long-distance land transportation, but also widely applied to medium-short distance urban public transportation.
Along with the development of rail transit, most people go out in a train mode, and the method has the characteristics of simplicity, convenience and quickness, but when a long-time train needs to be taken, passengers often have sleeping needs, but the passengers have the risk of getting out of station when sleeping on the train, so that the passengers cannot sleep well, even if an alarm clock is arranged, the problem of inaccurate time control is caused, the alarm clock is arranged too early or too late, and the train has special situations such as late points and the like, so that the passengers are difficult to sleep well; therefore, there is a need to provide an android-based PIS system for solving the above problems.
Disclosure of Invention
In order to solve the problems existing in the scheme, the invention provides an android-based PIS system.
The purpose of the invention can be realized by the following technical scheme:
the android-based PIS system comprises a client, a prompt module, a cloud database, a behavior judgment module, a processing module and a server;
the method comprises the steps that a prompt module is used for obtaining an arrival station of a passenger, a mobile phone prompt mode is set, client account information of the passenger is obtained, the client account information, the arrival station and the mobile phone prompt mode of the passenger are integrated and marked as uploading information, and the uploading information is sent to a cloud database to be stored; when the passenger is about to arrive at the arrival station, the behavior judgment module is used for judging the waking state of the passenger, and when the judgment result is that the passenger is not sleeping, a waking signal is generated and sent to the processing module, and the analysis of the image data is stopped; when the judgment result is that the passenger is sleeping, generating a sleeping signal, sending the sleeping signal to the processing module, and continuously analyzing the image data;
The processing module is used for processing the received waking signals and sleeping signals, and does not operate when the processing module receives the waking signals; when the processing module receives the sleep signal, a mobile phone prompting mode and client account information set by a corresponding passenger are obtained, and a client is prompted according to the mobile phone prompting mode set by the passenger.
Further, the method for acquiring the arrival station of the passenger through the prompt module comprises the following steps:
the method comprises the steps that a passenger logs in a client, identifies the information of a railway 12306 account of the passenger, collects the train number taken by the passenger at present, obtains a terminal station of a ticket purchased by the passenger according to the train number, and sends the terminal station to the passenger for confirmation;
when the terminal station sent to the passenger is confirmed to be error-free by the passenger, the terminal station confirmed by the passenger is marked as an arrival station;
when the terminal sent to the passenger is incorrect, the terminal is manually modified by the passenger, and the terminal modified by the passenger is marked as an arrival station.
Further, the working method of the judgment module comprises the following steps:
acquiring broadcast information of a train in real time, identifying a next station of the broadcast, matching the identified next station of the broadcast with an arriving station stored in a cloud database, and not operating when the matching fails; when the matching is successful, acquiring the account information of the client;
Establishing a train coordinate system, acquiring train monitoring points, marking the train monitoring points in the train coordinate system, numbering the train monitoring points, acquiring monitoring ranges of the train monitoring points, and marking corresponding monitoring ranges in the train coordinate system according to the train monitoring point numbers;
positioning the position of a passenger mobile phone, acquiring the coordinate of the passenger mobile phone relative to a train coordinate system, and enabling the coordinate of the passenger mobile phone to be in the train coordinate system to acquire the monitoring range of the coordinate of the passenger mobile phone;
when the mobile phone coordinates of the passengers are not positioned in the monitoring range, generating waking signals and sending the waking signals to the processing module;
when the mobile phone coordinates of the passengers are located in the monitoring range, train monitoring point numbers corresponding to the monitoring range are obtained, image data corresponding to the train monitoring points are obtained, a sleep judgment model is established, the obtained image data are analyzed through the sleep judgment model, and whether the corresponding passengers sleep or not is judged.
Further, the server is in communication connection with a verification module, and the verification module is used for performing final behavior verification on the passenger.
Further, the working method of the verification module comprises the following steps:
setting emergency getting-off time YX, acquiring a time period JS of departure time of the train from the current time in real time, and when YX is larger than JS, not operating; when YX is less than or equal to JS, acquiring image data of a passenger, establishing a behavior judgment model, judging the image data through the behavior judgment model, judging whether the passenger has a behavior of getting off the vehicle, and when judging that the passenger has the behavior of getting off the vehicle, not operating; and when the passenger does not get off the bus, prompting the client according to a mobile phone prompting mode set by the passenger.
Further, when YX is less than or equal to JS and image data of a passenger is not obtained, obtaining a mobile phone coordinate of the passenger, and when the mobile phone coordinate of the passenger is located outside the train coordinate range, not operating; and when the mobile phone coordinate of the passenger is within the train coordinate range, prompting the client according to the mobile phone prompting mode set by the passenger.
Further, the PIS system is configured based on the android architecture.
Furthermore, the control signal, the audio signal and the video multimedia signal all adopt a network topology structure in the form of an Ethernet bus.
Compared with the prior art, the invention has the beneficial effects that: due to the openness of the android, a product with a unique function can be designed, data synchronization cannot be influenced, the product can be perfectly compatible, the compatibility is very high, and the stability of the performance can still be kept; a set of mutually redundant system control equipment is installed in the driver rooms at the two ends of the train to control the operation of the passenger information system of the whole train; each passenger room is internally provided with a set of same passenger room control equipment, all the passenger room control equipment are in bus-star connection, and the failure of other control equipment cannot be caused by the damage of any passenger room control equipment;
Through the mutual cooperation of all modules, the problem that passengers can not sleep on a train at ease is solved, when the terminal station is reached, the passengers can be prompted timely, the passengers can get off the train timely, and the problem that the passengers sit at the station due to sleeping and the fact that the passengers do not hear broadcast prompts and the like is avoided.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without creative efforts.
Fig. 1 is a schematic block diagram of the present invention.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the following embodiments, and it should be understood that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
As shown in fig. 1, the android-based PIS system includes a client, a prompt module, a cloud database, a behavior judgment module, a processing module, a verification module, and a server; the client, the prompt module, the cloud database, the behavior judgment module, the processing module and the verification module are all in communication connection with the server.
The android-based PIS system is a track traffic PIS system based on an android architecture, an android mainboard is open-sourced and is allowed to be modified, and the system is more free and personalized than a proprietary software product; the software development efficiency is high, and due to the openness of the android, a product with a unique function can be designed, data synchronization cannot be influenced, the product can be perfectly compatible, the inclusion is very large, and the stability of the performance can still be maintained; the system adopts a distributed control, networked management, digital processing and modular structure, has simple and convenient interface operation, is easy to realize data exchange and full-automatic work, and adopts a network topology structure in the form of an Ethernet bus for control signals, audio signals and video multimedia signals; a set of mutually redundant system control equipment is installed in the driver rooms at the two ends of the train to control the operation of a passenger information system of the whole train; each passenger room is internally provided with a set of same passenger room control equipment, all the passenger room control equipment are in bus-star connection, and the failure of other control equipment cannot be caused by the damage of any passenger room control equipment;
The passenger information broadcasting host is used as a key data interaction core of the whole set of system, the integral design is carried out by adopting a scheme of combining an Intel high-speed bus and a domestic CPU high-speed bus, and the full high-speed circuit is designed by adopting a full Ethernet scheme on the back plate, so that the requirements of future software expansion, hardware expansion, 5G expansion and the like can be guaranteed;
the passenger information system train bus is composed of an Ethernet bus as a main body and an audio intercom line as an emergency standby line;
an Ethernet line: the method is used for train full PIS network coverage, guarantees the whole communication and improves the transmission speed of the original design in the train;
audio frequency line of talkbacking: a hard wire is talkbacked for train PIS system, when emergency appears, under the condition that the full line of full net double-circuit redundancy Ethernet collapses, manual cut-in is in order to ensure broadcasting system can not become invalid
The client is a mobile phone client, and can be an app installed in the mobile phone, or an applet in software in the mobile phone, such as a WeChat applet.
The prompting module is used for setting arrival prompting of passengers in a riding process, and the specific method comprises the following steps:
the method comprises the steps that a passenger logs in a client, the traffic account information of the passenger is identified, the traffic account information is railway 12306 account information, a ticket purchasing system used by current officials is used, the train number taken by the current passenger is collected, the terminal station of a ticket purchased by the passenger is obtained according to the train number, the terminal station is sent to the passenger for confirmation, and because some passengers can buy the front stations of the terminal station because the terminal station can not be bought, and the ticket is replenished after getting on the train, the obtained terminal station is sent to the passenger for confirmation aiming at the condition;
When the terminal station sent to the passenger is confirmed to be error-free by the passenger, the terminal station confirmed by the passenger is marked as an arrival station;
when the terminal station sent to the passenger is incorrect, the passenger manually modifies the terminal station, and the terminal station modified by the passenger is marked as an arrival station;
setting a mobile phone prompting mode, wherein the mobile phone prompting mode comprises common mobile phone prompting modes such as vibration, ring and the like, acquiring client account information of a passenger, the account information comprises information such as an account, a name, a contact mode and the like, integrating and marking the client account information, an arrival station and the mobile phone prompting mode of the passenger as uploading information, and sending the uploading information to a cloud database for storage;
the behavior judgment module is used for judging the waking state of a passenger, and the specific method comprises the following steps:
acquiring broadcast information of a train in real time, identifying a next station of the broadcast, matching the identified next station of the broadcast with an arriving station stored in a cloud database, and not operating when the matching fails; when the matching is successful, acquiring the account information of the client;
establishing a train coordinate system, such as: the method comprises the steps of taking the center of a train head as an original point, taking the width direction and the length direction as x and y axes, obtaining train monitoring points, marking the train monitoring points in a train coordinate system, numbering the train monitoring points, obtaining the monitoring range of the train monitoring points, obtaining the monitoring range through monitoring videos corresponding to the train monitoring points, and marking the corresponding monitoring range in the train coordinate system according to the train monitoring point numbers;
The method comprises the steps of positioning the position of a passenger mobile phone, wherein the existing mobile phone has a positioning function, defaults that the mobile phone has a started and authorized client positioning function, obtains the coordinates of the passenger mobile phone relative to a train coordinate system, and simply transforms a reference object;
when the mobile phone coordinate of the passenger is not positioned in the monitoring range, for example, when the passenger gets on a toilet, a waking signal is generated and sent to the processing module;
when the mobile phone coordinates of the passengers are located in the monitoring range, acquiring train monitoring point numbers corresponding to the monitoring range, acquiring image data corresponding to the train monitoring points, establishing a sleep judgment model, analyzing the acquired image data through the sleep judgment model, and judging whether the corresponding passengers sleep;
when the judgment result shows that the passenger does not sleep, a waking signal is generated and sent to the processing module, and the analysis of the image data is stopped;
when the judgment result is that the passenger is sleeping, generating a sleeping signal, sending the sleeping signal to the processing module, and continuously analyzing the image data; through real-time analysis, the passenger is prevented from falling asleep again after the prompt is given once.
The method for establishing the sleep judgment model comprises the following steps:
acquiring a sleeping behavior image and historical image data of a passenger, wherein the historical image data is the image data of the passenger shot before in the riding process; comparing the sleeping behavior image of the passenger with historical image data, and setting a corresponding judgment result; judging whether the user sleeps or not; constructing an artificial intelligence model; the artificial intelligence model is a neural network model; dividing the behavior image, the historical image data and the corresponding judgment result into a training set, a test set and a check set; training, testing and verifying the artificial intelligent model through a training set, a testing set and a verifying set; the trained artificial intelligence model is marked as a sleep judgment model, and the behavior image is built in the sleep judgment model, so that when the sleep judgment is needed, only image data needs to be input.
The processing module is used for processing the received waking signals and sleeping signals, and the specific processing method comprises the following steps:
when the processing module receives the waking signal, the operation is not carried out;
when the processing module receives the sleep signal, a mobile phone prompting mode and client account information set by a corresponding passenger are obtained, and a client is prompted according to the mobile phone prompting mode set by the passenger.
The verification module is used for performing final behavior verification on the passenger, and the specific method comprises the following steps:
setting emergency getting-off time YX, wherein the emergency getting-off time YX is set according to the time required by a general passenger to get off and the train starting time, and is used for leaving enough time for the passenger to get off; acquiring a time period JS of departure time of the train from the current time in real time, and when YX is greater than JS, not operating; when YX is less than or equal to JS, acquiring image data of the passenger, wherein the acquiring method is the same as that in the behavior judging module; when the mobile phone coordinate of the passenger is within the train coordinate range, prompting the client according to the mobile phone prompting mode set by the passenger;
when the image data of a passenger is acquired, a behavior judgment model is established, the image data is judged through the behavior judgment model, whether the passenger has a behavior of getting off the vehicle is judged, and when the passenger is judged to have the behavior of getting off the vehicle, no operation is performed; when the passenger does not get off the bus, prompting the client according to a mobile phone prompting mode set by the passenger;
The method for establishing the behavior judgment model comprises the following steps: acquiring historical image data, wherein the historical image data is the image data of a passenger shot before in the riding process; setting a state label for historical image data; the state label comprises the behavior of getting off and the behavior of not getting off; constructing an artificial intelligence model; the artificial intelligence model is a neural network model; dividing historical image data and corresponding state labels into a training set, a test set and a check set; training, testing and verifying the artificial intelligent model through a training set, a testing set and a verifying set; and marking the trained artificial intelligence model as a behavior judgment model.
The working principle of the invention is as follows: the method comprises the steps that a prompt module is used for obtaining an arrival station of a passenger, a mobile phone prompt mode is set, client account information of the passenger is obtained, the client account information, the arrival station and the mobile phone prompt mode of the passenger are integrated and marked as uploading information, and the uploading information is sent to a cloud database to be stored; when the passenger is about to arrive at the arrival station, the behavior judgment module is used for judging the waking state of the passenger, and when the judgment result is that the passenger is not sleeping, a waking signal is generated and sent to the processing module, and the analysis of the image data is stopped; when the judgment result is that the passenger is sleeping, generating a sleeping signal, sending the sleeping signal to the processing module, and continuously analyzing the image data; processing the received waking signals and sleeping signals through a processing module, and not operating when the processing module receives the waking signals; when the processing module receives the sleep signal, a mobile phone prompting mode and client account information set by a corresponding passenger are obtained, and a client is prompted according to the mobile phone prompting mode set by the passenger.
In the embodiments provided in the present invention, it should be understood that the disclosed apparatus, device and method may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the modules is only one logical functional division, and there may be other divisions when the actual implementation is performed; the modules described as separate parts may or may not be physically separate, and parts displayed as modules may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the method of the embodiment.
It will also be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential attributes thereof.
The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference signs in the claims shall not be construed as limiting the claim concerned.
Furthermore, it will be obvious that the term "comprising" does not exclude other elements or steps, and the singular does not exclude the plural. A plurality of units or means recited in the system claims may also be implemented by one unit or means in software or hardware. The terms second, etc. are used to denote names, but not to denote any particular order.
Finally, it should be noted that the above examples are only intended to illustrate the technical process of the present invention and not to limit the same, and although the present invention has been described in detail with reference to the preferred embodiments, it will be understood by those skilled in the art that modifications or equivalent substitutions may be made to the technical process of the present invention without departing from the spirit and scope of the technical process of the present invention.
Claims (8)
1. The android-based PIS system is characterized by comprising a client, a prompt module, a cloud database, a behavior judgment module, a processing module and a server;
the method comprises the steps that a prompt module is used for obtaining an arrival station of a passenger, a mobile phone prompt mode is set, client account information of the passenger is obtained, the client account information, the arrival station and the mobile phone prompt mode of the passenger are integrated and marked as uploading information, and the uploading information is sent to a cloud database to be stored; when the passenger is about to arrive at the arrival station, the behavior judgment module is used for judging the waking state of the passenger, and when the judgment result is that the passenger is not sleeping, a waking signal is generated and sent to the processing module, and the analysis of the image data is stopped; when the judgment result is that the passenger is sleeping, generating a sleeping signal, sending the sleeping signal to the processing module, and continuously analyzing the image data;
The processing module is used for processing the received waking signals and sleeping signals, and does not operate when the processing module receives the waking signals; when the processing module receives a sleep signal, acquiring a mobile phone prompting mode and client account information set by a corresponding passenger, and prompting a client according to the mobile phone prompting mode set by the passenger;
the working method of the judgment module comprises the following steps:
acquiring broadcast information of a train in real time, identifying a next station of the broadcast, matching the identified next station of the broadcast with an arriving station stored in a cloud database, and not operating when the matching fails; when the matching is successful, obtaining account information of the client;
establishing a train coordinate system, acquiring train monitoring points, marking the train monitoring points in the train coordinate system, numbering the train monitoring points, acquiring monitoring ranges of the train monitoring points, and marking corresponding monitoring ranges in the train coordinate system according to the train monitoring point numbers;
the method comprises the steps of positioning the position of a passenger mobile phone, obtaining the coordinate of the passenger mobile phone relative to a train coordinate system, enabling the coordinate of the passenger mobile phone to be in the train coordinate system, and obtaining the monitoring range where the coordinate of the passenger mobile phone is located;
when the mobile phone coordinate of the passenger is not positioned in the monitoring range, generating a waking signal and sending the waking signal to the processing module;
When the mobile phone coordinates of the passengers are located in the monitoring range, train monitoring point numbers corresponding to the monitoring range are obtained, image data corresponding to the train monitoring points are obtained, a sleep judgment model is established, the obtained image data are analyzed through the sleep judgment model, and whether the corresponding passengers sleep or not is judged.
2. The android-based PIS system of claim 1, wherein the method of obtaining a passenger's arrival stop via a prompt module includes:
the method comprises the steps that a passenger logs in a client, identifies the traffic account information of the passenger, collects the train number taken by the passenger at present, obtains a terminal station of a ticket purchased by the passenger according to the train number, and sends the terminal station to the passenger for confirmation;
when the terminal station sent to the passenger is confirmed to be error-free by the passenger, the terminal station confirmed by the passenger is marked as an arrival station;
when the terminal sent to the passenger is incorrect, the terminal is manually modified by the passenger, and the terminal modified by the passenger is marked as an arrival terminal.
3. The android-based PIS system of claim 1, wherein the server is communicatively coupled with a verification module for final behavioral verification of the passenger.
4. The android-based PIS system of claim 3, wherein the method of operation of the verification module comprises:
Setting emergency getting-off time YX, acquiring a time period JS of departure time of the train from the current time in real time, and when YX is larger than JS, not operating; when YX is less than or equal to JS, acquiring image data of a passenger, establishing a behavior judgment model, judging the image data through the behavior judgment model, judging whether the passenger has a behavior of getting off the vehicle, and when judging that the passenger has the behavior of getting off the vehicle, not operating; and when the passenger does not get off the bus, prompting the client according to a mobile phone prompting mode set by the passenger.
5. The android-based PIS system of claim 4, wherein when YX is less than or equal to JS and image data of a passenger is not obtained, the mobile phone coordinate of the passenger is obtained, and when the mobile phone coordinate of the passenger is outside the train coordinate range, no operation is performed; and when the mobile phone coordinate of the passenger is within the train coordinate range, prompting the client according to the mobile phone prompting mode set by the passenger.
6. The android-based PIS system of claim 1, wherein the PIS system is configured based on an android architecture.
7. The android-based PIS system of claim 1, wherein the control signals, audio signals, and video multimedia signals all employ a network topology in the form of an Ethernet bus.
8. The android-based PIS system of claim 1, wherein the method of establishing a sleep judgment model comprises:
acquiring a sleeping behavior image and historical image data of a passenger, comparing the sleeping behavior image of the passenger with the historical image data, and setting a corresponding judgment result; judging whether the user sleeps or not; constructing an artificial intelligence model; the artificial intelligence model is a neural network model; dividing the behavior image, the historical image data and the corresponding judgment result into a training set, a test set and a check set; training, testing and verifying the artificial intelligent model through a training set, a testing set and a verifying set; and marking the trained artificial intelligence model as a sleep judgment model.
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Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20120029826A (en) * | 2010-09-17 | 2012-03-27 | 현대모비스 주식회사 | System and method for alarm of arriving at station |
| CN105206092A (en) * | 2015-09-23 | 2015-12-30 | 广东工业大学 | System and method for reminding passenger of arrival on basis of intelligent mobile terminal |
| CN105489051A (en) * | 2016-02-15 | 2016-04-13 | 青岛海信电器股份有限公司 | Bus station arrival prompting method, mobile terminal and cloud server |
| CN106157560A (en) * | 2015-04-13 | 2016-11-23 | 刘钧 | One mobile phone prompting train starts ticket checking and train arrives at a station system and device |
| CN206303311U (en) * | 2016-12-20 | 2017-07-07 | 中冶赛迪工程技术股份有限公司 | Urban track traffic Intelligent bracelet |
| CN108053675A (en) * | 2017-10-23 | 2018-05-18 | 比亚迪股份有限公司 | Train arrival based reminding method and system, client, server and electronic equipment |
| CN109690609A (en) * | 2017-03-08 | 2019-04-26 | 欧姆龙株式会社 | Passenger's auxiliary device, method and program |
| CN110888703A (en) * | 2019-11-05 | 2020-03-17 | 中铁程科技有限责任公司 | Terminal control method and device, storage medium and computer equipment |
| CN110962706A (en) * | 2018-09-28 | 2020-04-07 | 比亚迪股份有限公司 | Riding method and device, vehicle, electronic equipment and storage medium |
-
2021
- 2021-10-27 CN CN202111256748.4A patent/CN113990056B/en active Active
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20120029826A (en) * | 2010-09-17 | 2012-03-27 | 현대모비스 주식회사 | System and method for alarm of arriving at station |
| CN106157560A (en) * | 2015-04-13 | 2016-11-23 | 刘钧 | One mobile phone prompting train starts ticket checking and train arrives at a station system and device |
| CN105206092A (en) * | 2015-09-23 | 2015-12-30 | 广东工业大学 | System and method for reminding passenger of arrival on basis of intelligent mobile terminal |
| CN105489051A (en) * | 2016-02-15 | 2016-04-13 | 青岛海信电器股份有限公司 | Bus station arrival prompting method, mobile terminal and cloud server |
| CN206303311U (en) * | 2016-12-20 | 2017-07-07 | 中冶赛迪工程技术股份有限公司 | Urban track traffic Intelligent bracelet |
| CN109690609A (en) * | 2017-03-08 | 2019-04-26 | 欧姆龙株式会社 | Passenger's auxiliary device, method and program |
| CN108053675A (en) * | 2017-10-23 | 2018-05-18 | 比亚迪股份有限公司 | Train arrival based reminding method and system, client, server and electronic equipment |
| CN110962706A (en) * | 2018-09-28 | 2020-04-07 | 比亚迪股份有限公司 | Riding method and device, vehicle, electronic equipment and storage medium |
| CN110888703A (en) * | 2019-11-05 | 2020-03-17 | 中铁程科技有限责任公司 | Terminal control method and device, storage medium and computer equipment |
Non-Patent Citations (1)
| Title |
|---|
| 城市轨道交通车载PIS情景感知服务技术方案研究;汪晓臣 等;《计算机应用》;20201125;第29卷(第11期);全文 * |
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