CN109606427B - Train carriage safety warning method based on ZigBee - Google Patents
Train carriage safety warning method based on ZigBee Download PDFInfo
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- CN109606427B CN109606427B CN201910025514.5A CN201910025514A CN109606427B CN 109606427 B CN109606427 B CN 109606427B CN 201910025514 A CN201910025514 A CN 201910025514A CN 109606427 B CN109606427 B CN 109606427B
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- 230000002159 abnormal effect Effects 0.000 description 4
- 238000013473 artificial intelligence Methods 0.000 description 4
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- 238000012545 processing Methods 0.000 description 4
- 230000008859 change Effects 0.000 description 3
- 230000003287 optical effect Effects 0.000 description 3
- 239000000779 smoke Substances 0.000 description 3
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B61—RAILWAYS
- B61L—GUIDING RAILWAY TRAFFIC; ENSURING THE SAFETY OF RAILWAY TRAFFIC
- B61L15/00—Indicators provided on the vehicle or train for signalling purposes
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B61—RAILWAYS
- B61L—GUIDING RAILWAY TRAFFIC; ENSURING THE SAFETY OF RAILWAY TRAFFIC
- B61L15/00—Indicators provided on the vehicle or train for signalling purposes
- B61L15/0018—Communication with or on the vehicle or train
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B61—RAILWAYS
- B61L—GUIDING RAILWAY TRAFFIC; ENSURING THE SAFETY OF RAILWAY TRAFFIC
- B61L15/00—Indicators provided on the vehicle or train for signalling purposes
- B61L15/0072—On-board train data handling
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B61—RAILWAYS
- B61L—GUIDING RAILWAY TRAFFIC; ENSURING THE SAFETY OF RAILWAY TRAFFIC
- B61L15/00—Indicators provided on the vehicle or train for signalling purposes
- B61L15/009—On-board display devices
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- Electric Propulsion And Braking For Vehicles (AREA)
- Train Traffic Observation, Control, And Security (AREA)
Abstract
The application discloses a train carriage safety warning method based on ZigBee. The method comprises the following steps: each carriage of the train is provided with a plurality of sound sensors; a ZigBee module is arranged in each sound sensor, and the ZigBee router is also used for being connected with a server; the ZigBee router judges whether decibels in the received sound information exceed a first threshold value, if yes, the number of the collected sound sensors of the sound information exceeding the first threshold value accounts for whether the proportion of all the sound sensors in the compartment exceeds a second threshold value, and sends alarm information to the server under the condition that the proportion exceeds the second threshold value; a server is arranged in each train, and the server is connected with the ZigBee router in each carriage and used for receiving information from the ZigBee router. The method and the device solve the problem that potential safety hazards possibly exist due to the fact that train monitoring measures are incomplete in the related technology, and make a contribution to the perfection of monitoring facilities.
Description
Technical Field
The application relates to the field of safety, in particular to a train carriage safety warning method based on ZigBee.
Background
At present, the rapid development of trains, especially high-speed railways, is a problem to be considered, in the case of high-speed railway running, how to timely find abnormal conditions in the carriages.
In the related art, a smoke sensor is generally disposed in a car of a high-speed rail, and whether a fire occurs is determined by the smoke sensor.
However, the smoke sensor or some other sensor cannot timely find whether the passenger has an abnormal situation such as dispute, and often the abnormal situation needs to be timely found and processed by the staff. There is currently no relevant monitoring technique.
Aiming at the problem that potential safety hazards are possibly caused by incomplete train monitoring measures in the related technology, no better solution is provided at present.
Disclosure of Invention
The application provides a ZigBee-based train carriage safety warning method, which aims to solve the problem that potential safety hazards possibly exist due to the fact that train monitoring measures are incomplete in the related technology.
According to an aspect of the present application, there is provided a train car safety warning method based on ZigBee, including: the method comprises the steps that a plurality of sound sensors are arranged in each compartment of a train, wherein the sound sensors are used for acquiring sound information in the compartment, a plurality of rows of seats are arranged in the compartment, each row of seats are arranged along the width of the compartment, the plurality of rows of seats are arranged in the length direction of the compartment, and two sound sensors are respectively arranged at two ends of every two rows of seats; a ZigBee module is arranged in each sound sensor, wherein the ZigBee module is used for sending sound information obtained by the sound sensor to a ZigBee router arranged in the carriage; the ZigBee router is connected with all ZigBee modules in the carriage and used for acquiring sound information sent by each sound sensor through a ZigBee protocol, and the ZigBee router is also used for being connected with a server; the ZigBee router judges whether decibels of the received sound information exceed a first threshold value, if yes, the number of the collected sound sensors of the sound information exceeding the first threshold value accounts for whether the proportion of all the sound sensors in the compartment exceeds a second threshold value, and sends alarm information to the server under the condition that the proportion exceeds the second threshold value, wherein the alarm information is used for indicating that sound abnormity occurs in the compartment; the method comprises the steps that a server is arranged in each train, the server is connected with a ZigBee router in each carriage and used for receiving information from the ZigBee router, and the server displays the alarm information through a screen arranged in a cab on the train when judging that the information comprises the alarm information.
Further, the method further comprises: the method comprises the steps that connection information of ZigBee routes in each carriage is set on an intelligent terminal, wherein the intelligent terminal is carried by workers; under the condition that the intelligent terminal moves to a preset vehicle, the intelligent terminal is connected with a ZigBee route in the carriage, and the ZigBee route sends identification information of the intelligent terminal connected in the ZigBee route to a server; the server is used for sending the alarm information to the ZigBee router where the identification information is located according to the identification information, and the ZigBee router which receives the alarm information sends the alarm information to an intelligent terminal connected with the ZigBee router.
Further, the method further comprises: and judging the ZigBee router with the proportion exceeding the second threshold, sending the warning information to the server, and then sending the warning information to an intelligent terminal connected with the server.
Further, the method further comprises: the ZigBee router supplies power and is supplied with power by a power supply in the carriage; the sound sensor is powered by a power supply in the vehicle cabin, or by a battery built in the sound sensor.
Through the application, the following steps are adopted: the method comprises the steps that a plurality of sound sensors are arranged in each compartment of a train, wherein the sound sensors are used for acquiring sound information in the compartment, a plurality of rows of seats are arranged in the compartment, each row of seats are arranged along the width of the compartment, the plurality of rows of seats are arranged in the length direction of the compartment, and two sound sensors are respectively arranged at two ends of every two rows of seats; a ZigBee module is arranged in each sound sensor, wherein the ZigBee module is used for sending sound information obtained by the sound sensor to a ZigBee router arranged in the carriage; the ZigBee router is connected with all ZigBee modules in the carriage and used for acquiring sound information sent by each sound sensor through a ZigBee protocol, and the ZigBee router is also used for being connected with a server; the ZigBee router judges whether decibels of the received sound information exceed a first threshold value, if yes, the number of the collected sound sensors of the sound information exceeding the first threshold value accounts for whether the proportion of all the sound sensors in the compartment exceeds a second threshold value, and sends alarm information to the server under the condition that the proportion exceeds the second threshold value, wherein the alarm information is used for indicating that sound abnormity occurs in the compartment; the method comprises the steps that a server is arranged in each train, the server is connected with a ZigBee router in each carriage and used for receiving information from the ZigBee router, and the server displays the alarm information through a screen arranged in a cab on the train when judging that the information comprises the alarm information. The problem of the potential safety hazard that probably exists that the train monitoring measure is imperfect in the correlation technique is solved, make a contribution for the perfection of monitoring facilities.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this application, illustrate embodiments of the application and, together with the description, serve to explain the application and are not intended to limit the application. In the drawings:
fig. 1 is a flowchart of a ZigBee-based train car safety warning method according to an embodiment of the present application.
Detailed Description
It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict. The present application will be described in detail below with reference to the embodiments with reference to the attached drawings.
In order to make the technical solutions better understood by those skilled in the art, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only partial embodiments of the present application, but not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
It should be noted that the terms "first," "second," and the like in the description and claims of this application and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It should be understood that the data so used may be interchanged under appropriate circumstances such that embodiments of the application described herein may be used. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
In this embodiment, a ZigBee-based train car safety warning method is provided, and fig. 1 is a flowchart of a ZigBee-based train car safety warning method provided in an embodiment of the present application, and as shown in fig. 1, the flowchart includes the following steps:
according to an aspect of the present application, there is provided a train car safety warning method based on ZigBee, including:
step S101, arranging a plurality of sound sensors in each carriage of the train, wherein the sound sensors are used for acquiring sound information in the carriages, a plurality of rows of seats are arranged in the carriages, each row of seats is arranged along the width of the carriage, a plurality of rows of seats are arranged in the length direction of the carriage, and two sound sensors are respectively arranged at two ends of every two rows of seats;
step S102, a ZigBee module is arranged in each sound sensor, wherein the ZigBee module is used for sending sound information obtained by the sound sensor to a ZigBee router arranged in the carriage;
step S103, arranging a ZigBee router in each carriage, wherein the ZigBee router is connected with all ZigBee modules in the carriage and is used for acquiring sound information sent by each sound sensor through a ZigBee protocol, and the ZigBee router is also used for being connected with a server; the ZigBee router judges whether decibels in the received sound information exceed a first threshold value, if yes, the number of the collected sound sensors of the sound information exceeding the first threshold value accounts for whether the proportion of all the sound sensors in the compartment exceeds a second threshold value, and sends alarm information to the server under the condition that the proportion exceeds the second threshold value, wherein the alarm information is used for indicating that sound abnormity occurs in the compartment;
and step S104, setting a server in each train, wherein the server is connected with the ZigBee router in each carriage and used for receiving information from the ZigBee router, and displaying the alarm information through a screen arranged in a cab on the train when the server judges that the information comprises the alarm information.
The sound decibel monitoring is adopted through the steps, the problem that potential safety hazards possibly exist due to the fact that train monitoring measures are incomplete in the related technology is solved, and contribution is made to the perfection of monitoring facilities. The ZigBee protocol is used for considering that the power consumption and the transmission distance of the ZigBee protocol are more suitable for the scene in the train.
As an optional embodiment, the method may further include: the method comprises the steps that connection information of ZigBee routes in each carriage is set on an intelligent terminal, wherein the intelligent terminal is carried by workers; under the condition that the intelligent terminal moves to a preset vehicle, the intelligent terminal is connected with a ZigBee route in the carriage, and the ZigBee route sends identification information of the intelligent terminal connected in the ZigBee route to a server; the server is used for sending the alarm information to the ZigBee router where the identification information is located according to the identification information, and the ZigBee router which receives the alarm information sends the alarm information to the intelligent terminal connected with the ZigBee router.
As an optional embodiment, the method may further include: and the ZigBee router which judges that the proportion exceeds the second threshold sends the alarm information to the server, and then sends the alarm information to the intelligent terminal connected with the server.
As an optional embodiment, the method may further include: the ZigBee router supplies power and is supplied with power by a power supply in the carriage; the sound sensor is powered by a power source in the vehicle cabin, or by a battery built in the sound sensor.
The device in the method forms a complete monitoring network in the train, and the monitoring can be carried out through sound. Generally, when the passenger is disputed or has other accidents, the voice of the person is increased, a decibel value can be set according to the personnel in the carriage, and when the ratio of the number of the sound sensors exceeding the decibel value exceeds a preset ratio, an alarm is given. Thus, the alarm mode is safe.
In a preferred embodiment, the first threshold is dynamically adjusted over time based on the number of persons in the train. Each train is full with one number of persons, which corresponds to one numerical value. Then, the value is multiplied by the ratio of the actual number of people in the train to the full number of people to serve as a first threshold value, and therefore the first threshold value can be adjusted at any time. The number of the people in the train can be obtained by adopting a camera, or the people who get in and out can be obtained by arranging an infrared sensor or a laser sensor at the door, so that the people in the train can be determined. The acquisition mode of the camera can be that the face in the carriage is identified by the camera arranged at the front part or the rear part of the carriage, and personnel are counted according to the number of the identified faces.
As another preferred embodiment, if the number of people adjusted at any time may be such that the threshold changes too quickly, the threshold adjustment may be made once each time the train is outbound.
As another preferred embodiment, the second threshold may be a fixed value, without adjustment.
As another preferred embodiment, after the ZigBee sends the warning message, the video shot by the camera arranged in the carriage can be transmitted to the server, and the video is used for displaying to the staff.
As another preferred embodiment, the video shot by the camera can be identified in an artificial intelligence manner. The artificial intelligence is trained through a plurality of groups of data, and each group of data comprises a picture in the carriage and identification information used for identifying whether the picture is in conflict or not. A data model can be obtained through training a plurality of groups of data. And extracting a key frame in a video shot by a camera, and inputting the key frame serving as an image into a trained data model so as to obtain whether the carriage conflicts or is abnormal.
After receiving the sound alarm information, the server judges whether the abnormality occurs according to the artificial intelligence model, and then determines whether to send an alarm to the intelligent terminal according to the sound alarm information and the judgment result of the artificial intelligence model.
As another preferred embodiment, the sound information includes not only decibels but also frequencies. In general, the frequency at which a person makes a sound may also change after an accident. It is also possible to detect a change in frequency and if it exceeds a predetermined range, an alarm message needs to be issued as well.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
In a typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include forms of volatile memory in a computer readable medium, Random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). The memory is an example of a computer-readable medium.
Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in the process, method, article, or apparatus that comprises the element.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The above are merely examples of the present application and are not intended to limit the present application. Various modifications and changes may occur to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.
Claims (1)
1. A ZigBee-based train carriage safety warning method is characterized by comprising the following steps:
the method comprises the steps that a plurality of sound sensors are arranged in each compartment of a train, wherein the sound sensors are used for acquiring sound information in the compartment, a plurality of rows of seats are arranged in the compartment, each row of seats are arranged along the width of the compartment, the plurality of rows of seats are arranged in the length direction of the compartment, and two sound sensors are respectively arranged at two ends of every two rows of seats;
a ZigBee module is arranged in each sound sensor, wherein the ZigBee module is used for sending sound information obtained by the sound sensor to a ZigBee router arranged in the carriage;
the ZigBee router is connected with all ZigBee modules in the carriage and used for acquiring sound information sent by each sound sensor through a ZigBee protocol, and the ZigBee router is also used for being connected with a server; the ZigBee router judges whether decibels of the received sound information exceed a first threshold value, if yes, the number of the collected sound sensors of the sound information exceeding the first threshold value accounts for whether the proportion of all the sound sensors in the compartment exceeds a second threshold value, and sends alarm information to the server under the condition that the proportion exceeds the second threshold value, wherein the alarm information is used for indicating that sound abnormity occurs in the compartment; the first threshold value is dynamically adjusted at any time according to the number of people in the train, each full member of the train has one number, the full member corresponds to a numerical value, and the numerical value is multiplied by the ratio of the actual number of people to the full member in the train to serve as the first threshold value, wherein the number of people in the train is obtained and is obtained in a camera mode, or an infrared sensor or a laser sensor is arranged at a door to obtain the people who enter and exit, so that the people in the carriage are determined;
the method comprises the steps that a server is arranged in each train, the server is connected with a ZigBee router in each carriage and used for receiving information from the ZigBee router, and the server displays alarm information through a screen arranged in a cab on the train when judging that the information comprises the alarm information;
the method comprises the steps that connection information of the ZigBee routers in each carriage is set on an intelligent terminal, wherein the intelligent terminal is carried by a worker;
under the condition that the intelligent terminal moves to a preset vehicle, the intelligent terminal is connected with a ZigBee router in the carriage, and the ZigBee router sends identification information of the intelligent terminal connected in the ZigBee router to a server;
the server is used for sending the alarm information to the ZigBee router where the identification information is located according to the identification information, and the ZigBee router which receives the alarm information sends the alarm information to an intelligent terminal connected with the ZigBee router;
judging the ZigBee router with the proportion exceeding the second threshold value, sending the warning information to the server, and then sending the warning information to an intelligent terminal connected with the server;
the ZigBee router supplies power and is supplied with power by a power supply in the carriage;
the sound sensor is powered by a power source in the vehicle cabin, or by a battery built into the sound sensor.
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| CN201910025514.5A CN109606427B (en) | 2019-01-11 | 2019-01-11 | Train carriage safety warning method based on ZigBee |
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| DE102005001650A1 (en) * | 2005-01-10 | 2006-07-27 | Siemens Ag | Retrofit system for technical systems |
| US9950718B2 (en) * | 2013-03-13 | 2018-04-24 | Wabtec Holding Corp. | Train network management system and method |
| CN204309807U (en) * | 2014-12-10 | 2015-05-06 | 上海由威通信科技有限公司 | A kind of train video delivery network system based on ZigBee technology |
| CN104658188A (en) * | 2015-03-13 | 2015-05-27 | 云南智图学泰科技有限公司 | Channel security early-warning system and channel early-warning method |
| US10167004B2 (en) * | 2015-12-18 | 2019-01-01 | General Electric Company | Sensor system |
| CN207218724U (en) * | 2017-04-20 | 2018-04-10 | 宿迁慈航列车信息技术有限公司 | A kind of train network system |
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Effective date of registration: 20220311 Address after: 163000 business service, No.8, building J02, Beichen green home, Saertu District, Daqing City, Heilongjiang Province Patentee after: Heilongjiang saince science and Technology Information Consulting Service Co.,Ltd. Address before: 163000 99 Xuefu street, hi tech Industrial Development Zone, Daqing, Heilongjiang Patentee before: NORTHEAST PETROLEUM University |