CN111898862A - Safety monitoring method and device for urban rail transit system - Google Patents
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Abstract
The disclosure relates to a safety monitoring method and device for an urban rail transit system. The method comprises the following steps: acquiring safety related parameters of a rail transit system; inputting the safety related parameters into a safety risk identification model to obtain the type and the grade of the safety risk; the safety risk identification model is obtained by training through a first preset sample set, the first preset sample set comprises multiple groups of first preset samples, and each group of first preset samples comprises: a security-related parameter; and, a corresponding security risk type and level; determining an emergency response scheme according to the safety risk type and the safety risk level; and sending the emergency response scheme to the terminal equipment of the emergency working group. The technical scheme provided by the embodiment of the disclosure can automatically determine the emergency response scheme based on the safety related parameters and send the emergency response scheme to the terminal equipment of the emergency working group, thereby being beneficial to improving the safety of the urban rail transit system.
Description
Technical Field
The disclosure relates to the technical field of rail transit, in particular to a method and a device for monitoring the safety of an urban rail transit system.
Background
Urban rail transit is a vehicle transportation system which adopts a rail structure for bearing and guiding, and is a public transportation mode for transporting passenger flow of a considerable scale in a train or single vehicle mode by arranging a fully-closed or partially-closed special rail line according to the requirements of the overall planning of urban traffic. Urban rail transit may include: subway systems, light rail systems, monorail systems, trams, magnetic levitation systems, automatically guided track systems, urban area fast track systems, and other new traffic systems.
However, the existing urban rail transit only depends on system staff to pre-judge and process safety accidents, and the problems of poor accuracy and low safety possibly exist.
Disclosure of Invention
In order to solve the technical problems or at least partially solve the technical problems, the present disclosure provides a method and an apparatus for monitoring safety of an urban rail transit system.
The present disclosure provides a safety monitoring method for an urban rail transit system, which comprises:
acquiring safety related parameters of a rail transit system;
inputting the safety related parameters into a safety risk identification model to obtain the type and the grade of the safety risk; the safety risk identification model is obtained by training through a first preset sample set, the first preset sample set comprises multiple groups of first preset samples, and each group of first preset samples comprises: a security-related parameter; and, a corresponding security risk type and level;
determining an emergency response scheme according to the safety risk type and the safety risk level;
and sending the emergency response scheme to the terminal equipment of the emergency working group.
Optionally, the determining an emergency response scheme according to the security risk type and the level includes:
acquiring the safety risk types and emergency response schemes corresponding to the levels in a table look-up mode;
alternatively, the first and second electrodes may be,
inputting the safety risk types and the levels into an emergency response scheme model, and obtaining an emergency response scheme output by the emergency response scheme model, wherein the emergency response scheme model is obtained by training a second preset sample set, the second preset sample set comprises a plurality of groups of second preset samples, and each group of second preset samples comprises: the type and level of security risk, and, the corresponding emergency response scheme.
Optionally, the acquiring safety-related parameters of the rail transit system includes:
obtaining the safety-related parameter by at least one of the following methods:
acquiring running state parameters of a vehicle through a vehicle-mounted sensor;
acquiring the state information of the platform door through a platform door sensor, wherein the state information of the platform door comprises: an open exception or a close exception;
acquiring state information of trackside equipment through a trackside sensor;
acquiring passenger status information through a monitoring device, wherein the passenger status information comprises: pedestrian flow, abnormal posture;
and acquiring fire-fighting abnormity related parameters through fire-fighting monitoring equipment.
Optionally, the emergency response scheme further includes: emergency equipment response measures;
the method further comprises the following steps:
controlling the emergency device to perform the emergency response action.
Optionally, before the inputting the safety-related parameter into the safety risk identification model and acquiring the type and the level of the safety risk, the method further includes:
preprocessing the safety-related parameters, wherein the preprocessing comprises: classifying the safety-related parameters, wherein the classifying comprises: image data or text data.
The present disclosure also provides an urban rail transit system safety monitoring device, including:
the acquisition module is used for acquiring safety related parameters of the rail transit system;
the processing module is used for inputting the safety related parameters into a safety risk identification model to obtain a safety risk type and a safety risk grade, wherein the safety risk identification model is obtained by training a first preset sample set, the first preset sample set comprises a plurality of groups of first preset samples, and each group of first preset samples comprises: a security-related parameter; and, a corresponding security risk type and level;
the processing module is further used for determining an emergency response scheme according to the safety risk type and the safety risk grade;
and the sending module is used for sending the emergency response scheme to the terminal equipment of the emergency working group.
Optionally, the processing module is specifically configured to obtain the safety risk type and the emergency response scheme corresponding to the level in a table lookup manner;
alternatively, the first and second electrodes may be,
the processing module is specifically configured to input the safety risk type and the level into an emergency response scheme model, and obtain an emergency response scheme output by the emergency response scheme model, where the emergency response scheme model is obtained through training of a second preset sample set, the second preset sample set includes multiple sets of second preset samples, and each set of second preset samples includes: the type and level of security risk, and, the corresponding emergency response scheme.
Optionally, the obtaining module is specifically configured to obtain the security related parameter through at least one of the following methods:
acquiring running state parameters of a vehicle through a vehicle-mounted sensor;
acquiring the state information of the platform door through a platform door sensor, wherein the state information of the platform door comprises: an open exception or a close exception;
acquiring state information of trackside equipment through a trackside sensor;
acquiring passenger status information through a monitoring device, wherein the passenger status information comprises: pedestrian flow, abnormal posture;
and acquiring fire-fighting abnormity related parameters through fire-fighting monitoring equipment.
Optionally, the emergency response scheme further includes: emergency equipment response measures;
the processor is further configured to control the emergency device to perform the emergency response action.
Optionally, the processor is further configured to perform preprocessing on the safety-related parameter, where the preprocessing includes: classifying the safety-related parameters, wherein the classifying comprises: image data or text data.
Compared with the prior art, the technical scheme provided by the embodiment of the disclosure has the following advantages: the method comprises the steps of obtaining safety related parameters of the rail transit system; inputting the safety related parameters into a safety risk identification model to obtain the type and the grade of the safety risk; the safety risk identification model is obtained through training of a first preset sample set, the first preset sample set comprises multiple groups of first preset samples, and each group of first preset samples comprises: a security-related parameter; and, a corresponding security risk type and level; determining an emergency response scheme according to the type and the grade of the safety risk; the emergency response scheme is sent to the terminal equipment of the emergency working group, so that the emergency response scheme can be automatically determined based on the safety related parameters, and the emergency response scheme is sent to the terminal equipment of the emergency working group, so that the safety accident can be pre-judged, judged and processed or prompted and processed timely and accurately, the safety of the urban rail transit system is improved, and the problem of poor safety is solved.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present disclosure and together with the description, serve to explain the principles of the disclosure.
In order to more clearly illustrate the embodiments or technical solutions in the prior art of the present disclosure, the drawings used in the description of the embodiments or prior art will be briefly described below, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without inventive exercise.
Fig. 1 is a schematic flow chart of an urban rail transit safety monitoring method according to an embodiment of the present disclosure;
fig. 2 is a schematic flow chart of another method for monitoring urban rail transit safety according to an embodiment of the present disclosure;
fig. 3 is a schematic flow chart of another method for monitoring urban rail transit safety according to an embodiment of the present disclosure;
fig. 4 is a schematic flow chart of another method for monitoring urban rail transit safety according to an embodiment of the present disclosure;
fig. 5 is a schematic structural diagram of an urban rail transit safety monitoring device according to an embodiment of the present disclosure;
fig. 6 is a schematic structural diagram of another urban rail transit safety monitoring device provided in the embodiment of the present disclosure.
Detailed Description
In order that the above objects, features and advantages of the present disclosure may be more clearly understood, aspects of the present disclosure will be further described below. It should be noted that the embodiments and features of the embodiments of the present disclosure may be combined with each other without conflict.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present disclosure, but the present disclosure may be practiced in other ways than those described herein; it is to be understood that the embodiments disclosed in the specification are only a few embodiments of the present disclosure, and not all embodiments.
Fig. 1 is a schematic flow chart of an urban rail transit safety monitoring method provided in an embodiment of the present disclosure. Referring to fig. 1, the method includes:
and S11, acquiring safety related parameters of the rail transit system.
The safety-related parameters may include, among others, device safety-related parameters and passenger safety-related parameters. The safety-related parameters may reflect the safety status of the equipment and passengers, providing data support for determining the risk type and level in subsequent steps.
Illustratively, this step may include acquiring safety-related parameters of the rail transit system via sensors (i.e., sensors).
In one embodiment, the safety-related coefficients include, but are not limited to, operational status parameters of the vehicle, status information of platform doors, status information of trackside equipment, status information of passengers, fire-fighting anomaly-related parameters.
Based on this, this step may include, but is not limited to, obtaining the security-related parameters in the following manner.
The first method is as follows: and acquiring the running state parameters of the vehicle through the vehicle-mounted sensor.
The running state parameters of the vehicle are used for reflecting the running state of the vehicle.
For example, the operating state parameters of the vehicle may include, but are not limited to, speed, acceleration, energy consumption, starting, braking, hard braking, shock, and the like.
The second method comprises the following steps: and acquiring the state information of the platform door through the platform door sensor.
Illustratively, the status information of the platform door includes: an open exception or a close exception.
For example, a control system failure or foreign matter inclusion between platform doors causes an abnormal closing of the platform doors; alternatively, a control system failure results in a platform door opening anomaly.
For example, the status information may be automatically fed back by the control system, obtained by the position monitoring sensor acquiring the position information of the characteristic position of the platform door, and obtained by the image acquiring device (e.g. a camera) acquiring the image of the position of the platform door.
The third method comprises the following steps: and acquiring the state information of the trackside equipment through the trackside sensor.
For example, various auxiliary devices are arranged beside the track to ensure the normal running of urban traffic or provide auxiliary functions. In this embodiment, the state of the trackside equipment can be monitored to determine the corresponding risk level and type, so as to improve the safety.
The method is as follows: and acquiring the state information of the passenger through the monitoring device.
Wherein the passenger's status information includes: flow of people, abnormal posture.
For example, when the flow of people is large, workers can be prompted to evacuate the flow of people, and the occurrence of crowding, corners of mouths or treading events is avoided.
For example, the abnormal data may include a fall of the passenger or a mutual pulling of the passengers.
The fifth mode is as follows: and acquiring fire-fighting abnormity related parameters through fire-fighting monitoring equipment.
For example, the fire abnormality related parameter may characterize whether a fire exists and the fire details, such as the size of the fire, the area of the fire, etc.
For example, each of the monitoring devices above may include a camera. The camera may acquire a static picture or a dynamic picture, which is not limited in the embodiment of the present disclosure.
And S12, inputting the safety related parameters into the safety risk identification model, and acquiring the safety risk type and the safety risk level.
The safety risk identification model is obtained through training of a first preset sample set, the first preset sample set comprises multiple groups of first preset samples, and each group of first preset samples comprises: a security-related parameter; and, a corresponding security risk type and level.
Thus, the security risk co-recognition model can be obtained through the set training of multiple sets of security-related parameters and corresponding security risk types and levels.
In this step, the security risk identification model may automatically determine the corresponding security risk type and level by inputting the security-related parameters into the security risk identification model. The response speed is fast, and the accuracy is high.
And S13, determining an emergency response scheme according to the safety risk type and the safety risk level.
Wherein, different safety risk types and grades correspond to different emergency response schemes. In the step, the corresponding emergency response scheme can be determined according to the type and the grade of the safety risk, so that different safety risks can be effectively dealt with.
Alternative implementations of this step are detailed below.
And S14, sending the emergency response scheme to the terminal equipment of the emergency working group.
When safety risks exist, the safety risks need to be eliminated in time so as to ensure the safety of equipment and personnel. In the step, by sending the emergency response scheme to the terminal device of the emergency working group, the staff of the relevant emergency working group can be mobilized to process (can process on site or remotely) the safety risk corresponding to the emergency response scheme in time, so that the efficiency of eliminating the safety risk is improved, and the safety of urban rail transit is improved.
In the method for monitoring the urban rail transit safety, the safety related parameters of a rail transit system are obtained; inputting the safety related parameters into a safety risk identification model to obtain the type and the grade of the safety risk; the safety risk identification model is obtained through training of a first preset sample set, the first preset sample set comprises multiple groups of first preset samples, and each group of first preset samples comprises: a security-related parameter; and, a corresponding security risk type and level; determining an emergency response scheme according to the type and the grade of the safety risk; the emergency response scheme is sent to the terminal equipment of the emergency working group, so that the emergency response scheme can be automatically determined based on the safety related parameters, and the emergency response scheme is sent to the terminal equipment of the emergency working group, so that the safety accident can be pre-judged, judged and processed or prompted and processed timely and accurately, the safety of the urban rail transit system is improved, and the problem of poor safety is solved.
In the security monitoring method shown in fig. 1, the implementation manner of S13 may include table lookup or model training, which is described below in conjunction with fig. 2 and fig. 3.
Exemplarily, fig. 2 is a schematic flow chart of another urban rail transit safety monitoring method provided in the embodiment of the present disclosure. Referring to fig. 2, the method may include:
and S21, acquiring safety related parameters of the rail transit system.
And S22, inputting the safety related parameters into the safety risk identification model, and acquiring the safety risk type and the safety risk level.
And S23, acquiring the safety risk types and the emergency response schemes corresponding to the levels in a table look-up mode.
Wherein, a table can be set to store the corresponding relation between the safety risk type and the level and the emergency response scheme. In this step, a table may be looked up to determine the type of security risk and the emergency response scenario corresponding to the class.
And S24, sending the emergency response scheme to the terminal equipment of the emergency working group.
Among the method steps shown in fig. 2, the same steps as those in fig. 1 can be understood by referring to the explanation of fig. 1, which is not repeated herein. Except that fig. 2 refines the alternative implementation of S13 in fig. 1. Specifically, S13 may include S23, i.e., the emergency response scenario corresponding to the security risk type and the level may be determined by table lookup. This approach is relatively simple.
Exemplarily, fig. 3 is a schematic flow chart of another urban rail transit safety monitoring method provided in the embodiment of the present disclosure. Referring to fig. 3, the method may include:
and S31, acquiring safety related parameters of the rail transit system.
And S32, inputting the safety related parameters into the safety risk identification model, and acquiring the safety risk type and the safety risk level.
And S33, inputting the safety risk types and the levels into the emergency response scheme model, and acquiring the emergency response scheme output by the emergency response scheme model.
The emergency response scheme model is obtained through training of a second preset sample set, the second preset sample set comprises a plurality of groups of second preset samples, and each group of second preset samples comprises: the type and level of security risk, and, the corresponding emergency response scheme.
The emergency response scheme model can be obtained by training a plurality of groups of safety risk types and levels and corresponding emergency response schemes.
In this step, the emergency response scheme model can be used to automatically determine the corresponding emergency response scheme by inputting the type and level of the security risk into the emergency response scheme model. The realization method has high accuracy.
And S34, sending the emergency response scheme to the terminal equipment of the emergency working group.
Among the method steps shown in fig. 3, the same steps as those in fig. 1 can be understood by referring to the explanation of fig. 1, which is not repeated herein. Except that fig. 3 refines the alternative implementation of S13 in fig. 1. Specifically, S13 may include S33, i.e., the emergency response scenario corresponding to the security risk type and the grade may be determined by model training. The implementation is more accurate.
In the above embodiment, taking the method shown in fig. 1 as an example, after S14, the emergency response scheme may be executed by a staff member of the emergency working group, or may be executed by the emergency device, which is described as an example below.
In one embodiment, the emergency response scheme further includes: and response measures of the emergency equipment. Based on this, the method may further comprise: and controlling the emergency equipment to execute emergency response measures.
For example, the emergency equipment can automatically execute emergency response measures in response and control, so that the time for workers to move from the initial positions to areas with safety risks is saved, the response speed is high, and the safety effectiveness is high.
In an embodiment, fig. 4 is a schematic flow chart of another method for monitoring urban rail transit safety provided in the embodiment of the present disclosure. Referring to fig. 4, the method may include:
and S41, acquiring safety related parameters of the rail transit system.
And S420, preprocessing the safety related parameters.
Wherein the pretreatment comprises: and classifying the safety related parameters, wherein the classification comprises the following steps: image data or text data.
Therefore, different processing modes can be adopted for different types of data, so that the data processing efficiency is high, and the processing result is accurate.
In other embodiments, the classifying the security-related parameter may further include classifying the security-related parameter according to a security risk type, for example, may include: ground anomaly data, vehicle anomaly data; or the data comprises equipment abnormal data and personnel abnormal data; or other classification approaches known to those skilled in the art, and the embodiments of the present disclosure are not limited thereto.
In other real-time manners, the preprocessing of the safety-related parameters may further include: data cleaning, data normalization and/or data analysis are performed on the safety-related parameters to improve data reliability and accuracy of the method.
And S42, inputting the safety related parameters into the safety risk identification model, and acquiring the safety risk type and the safety risk level.
And S43, determining an emergency response scheme according to the safety risk type and the safety risk level.
And S44, sending the emergency response scheme to the terminal equipment of the emergency working group.
Among the method steps shown in fig. 4, the same steps as those in fig. 1 can be understood by referring to the explanation of fig. 1, which is not repeated herein. The difference is that fig. 4 adds a step of data preprocessing to fig. 1, thereby improving the reliability and effectiveness of the security-related parameters.
Based on the same inventive concept, the embodiment of the disclosure also provides a safety monitoring device for an urban rail transit system, which can be used for executing any one of the urban rail transit safety monitoring methods provided by the above embodiments. Therefore, the urban rail transit safety monitoring device also has the technical effects of the urban rail transit safety monitoring method in the above embodiment, and the same points can be understood by referring to the explanation of the urban rail transit safety monitoring method in the above, and are not described in detail in the following.
Exemplarily, fig. 5 is a schematic structural diagram of an urban rail transit safety monitoring device provided in an embodiment of the present disclosure. Referring to fig. 5, the apparatus 50 includes: an obtaining module 510, configured to obtain safety-related parameters of a rail transit system; the processing module 520 is configured to input the safety-related parameters into the safety risk identification model, and obtain the safety risk type and the safety risk level, where the safety risk identification model is obtained through training of a first preset sample set, the first preset sample set includes multiple sets of first preset samples, and each set of first preset samples includes: a security-related parameter; and, a corresponding security risk type and level; the processing module 520 is further configured to determine an emergency response scheme according to the security risk type and the level; a sending module 530, configured to send the emergency response scheme to the terminal device of the emergency work group.
In the urban rail transit safety monitoring device 50 provided by the embodiment of the present disclosure, the obtaining module 510 may obtain safety-related parameters of a rail transit system; the processing module 520 may input the security-related parameters into the security risk identification model to obtain the security risk type and level; the safety risk identification model is obtained through training of a first preset sample set, the first preset sample set comprises multiple groups of first preset samples, and each group of first preset samples comprises: a security-related parameter; and, a corresponding security risk type and level; the processing module 520 may also determine an emergency response scheme based on the security risk type and level; the sending module 530 can send the emergency response scheme to the terminal device of the emergency working group, so that the emergency response scheme can be automatically determined based on the safety-related parameters, and the emergency response scheme is sent to the terminal device of the emergency working group, so that the safety accident can be pre-judged, judged and processed or prompted and processed timely and accurately, the safety of the urban rail transit system can be improved, and the problem of poor safety can be solved.
In an embodiment, the processing module 520 is specifically configured to obtain the security risk type and the emergency response scheme corresponding to the level by looking up a table; or, the processing module 520 is specifically configured to input the security risk type and the level into the emergency response scheme model, and obtain the emergency response scheme output by the emergency response scheme model, where the emergency response scheme model is obtained through training of a second preset sample set, the second preset sample set includes multiple sets of second preset samples, and each set of second preset samples includes: the type and level of security risk, and, the corresponding emergency response scheme.
In this way, the processing module 520 may determine the emergency measures corresponding to the types and levels of the security risks through a table lookup manner or a model training manner.
The specific implementation manner can be flexibly selected, and the embodiment of the disclosure does not limit the implementation manner.
In an embodiment, the obtaining module 510 is specifically configured to obtain the security-related parameter by at least one of the following methods: acquiring running state parameters of a vehicle through a vehicle-mounted sensor; obtain the state information of platform door through platform door sensor, the state information of platform door includes: an open exception or a close exception; acquiring state information of trackside equipment through a trackside sensor; acquiring the state information of the passenger through the monitoring device, wherein the state information of the passenger comprises: pedestrian flow, abnormal posture; and acquiring fire-fighting abnormity related parameters through fire-fighting monitoring equipment.
By the arrangement, one or more different types of safety related parameters can be acquired, and the equipment safety and the personnel safety of urban rail transit can be improved in multiple aspects.
In one embodiment, the emergency response scheme further includes: and response measures of the emergency equipment. Based thereon, the processor 520 is also configured to control the emergency device to perform emergency response actions.
So set up, usable emergency equipment automatic execution emergency response measure, the response is timely, and the security is higher.
In an embodiment, the processor 520 is further configured to pre-process the security-related parameter, wherein the pre-processing includes: and classifying the safety related parameters, wherein the classification comprises the following steps: image data or text data.
By the arrangement, the safety related parameters can be classified, the processing speed is high, and the reliability is high.
On the basis of the foregoing embodiments, for example, fig. 6 is a schematic structural diagram of another urban rail transit safety monitoring device provided in the embodiment of the present disclosure. With reference to fig. 5 and 6, the acquisition module 510 may include on-board sensors, platform door sensors, trackside sensors, service sensors, monitoring sensors, and other sensors; the processing module 520 preprocesses the raw data acquired by the sensors in real time and inputs the preprocessed raw data into the safety risk identification model to determine the safety risk, the status type and the level; which is input as input data to the emergency response scenario model, determines the corresponding processing scenario for the response, which is then executed by emergency team personnel or emergency country equipment to ensure equipment and personnel safety.
For example, the security risk identification model may be a security risk identification model based on some machine learning/pattern recognition algorithm, which may be trained from security risk and emergency identification artificial rules, historical data, and historical cases.
For example, the emergency response scenario model may be an emergency response scenario model based on some feature matching/natural language processing algorithm, which may be trained from an emergency response scenario library.
The urban rail transit safety monitoring method and device provided by the embodiment of the disclosure can identify possible safety risks and emergency situations from data collected by internet of things sensors such as operation and maintenance, passenger service and the like based on a pattern recognition/machine learning technology, select a scheme/decision suitable for dealing with the current situation from existing emergency schemes/storage decisions through technologies such as feature matching/natural language processing and the like, and quickly start to implement to assist workers in handling the safety risks and the emergency situations, thereby improving equipment safety and personnel safety.
It is noted that, in this document, relational terms such as "first" and "second," and the like, may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, 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 a process, method, article, or apparatus that comprises the element.
The foregoing are merely exemplary embodiments of the present disclosure, which enable those skilled in the art to understand or practice the present disclosure. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the disclosure. Thus, the present disclosure is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (10)
1. A safety monitoring method for an urban rail transit system is characterized by comprising the following steps:
acquiring safety related parameters of a rail transit system;
inputting the safety related parameters into a safety risk identification model to obtain the type and the grade of the safety risk; the safety risk identification model is obtained by training through a first preset sample set, the first preset sample set comprises multiple groups of first preset samples, and each group of first preset samples comprises: a security-related parameter; and, a corresponding security risk type and level;
determining an emergency response scheme according to the safety risk type and the safety risk level;
and sending the emergency response scheme to the terminal equipment of the emergency working group.
2. The method of claim 1, wherein determining an emergency response scheme based on the security risk type and the level comprises:
acquiring the safety risk types and emergency response schemes corresponding to the levels in a table look-up mode;
alternatively, the first and second electrodes may be,
inputting the safety risk types and the levels into an emergency response scheme model, and obtaining an emergency response scheme output by the emergency response scheme model, wherein the emergency response scheme model is obtained by training a second preset sample set, the second preset sample set comprises a plurality of groups of second preset samples, and each group of second preset samples comprises: the type and level of security risk, and, the corresponding emergency response scheme.
3. The method according to claim 1 or 2, wherein the obtaining of safety-related parameters of a rail transit system comprises:
obtaining the safety-related parameter by at least one of the following methods:
acquiring running state parameters of a vehicle through a vehicle-mounted sensor;
acquiring the state information of the platform door through a platform door sensor, wherein the state information of the platform door comprises: an open exception or a close exception;
acquiring state information of trackside equipment through a trackside sensor;
acquiring passenger status information through a monitoring device, wherein the passenger status information comprises: pedestrian flow, abnormal posture;
and acquiring fire-fighting abnormity related parameters through fire-fighting monitoring equipment.
4. The method of claim 3, wherein the emergency response scheme further comprises: emergency equipment response measures;
the method further comprises the following steps:
controlling the emergency device to perform the emergency response action.
5. The method of claim 3, wherein before inputting the security-related parameters into the security risk identification model and obtaining the security risk types and levels, the method further comprises:
preprocessing the safety-related parameters, wherein the preprocessing comprises: classifying the safety-related parameters, wherein the classifying comprises: image data or text data.
6. The utility model provides an urban rail transit system safety monitoring device which characterized in that includes:
the acquisition module is used for acquiring safety related parameters of the rail transit system;
the processing module is used for inputting the safety related parameters into a safety risk identification model to obtain a safety risk type and a safety risk grade, wherein the safety risk identification model is obtained by training a first preset sample set, the first preset sample set comprises a plurality of groups of first preset samples, and each group of first preset samples comprises: a security-related parameter; and, a corresponding security risk type and level;
the processing module is further used for determining an emergency response scheme according to the safety risk type and the safety risk grade;
and the sending module is used for sending the emergency response scheme to the terminal equipment of the emergency working group.
7. The device according to claim 6, wherein the processing module is specifically configured to obtain the emergency response scheme corresponding to the security risk type and the level by looking up a table;
alternatively, the first and second electrodes may be,
the processing module is specifically configured to input the safety risk type and the level into an emergency response scheme model, and obtain an emergency response scheme output by the emergency response scheme model, where the emergency response scheme model is obtained through training of a second preset sample set, the second preset sample set includes multiple sets of second preset samples, and each set of second preset samples includes: the type and level of security risk, and, the corresponding emergency response scheme.
8. The apparatus according to claim 6 or 7, wherein the obtaining module is specifically configured to obtain the security-related parameter by at least one of:
acquiring running state parameters of a vehicle through a vehicle-mounted sensor;
acquiring the state information of the platform door through a platform door sensor, wherein the state information of the platform door comprises: an open exception or a close exception;
acquiring state information of trackside equipment through a trackside sensor;
acquiring passenger status information through a monitoring device, wherein the passenger status information comprises: pedestrian flow, abnormal posture;
and acquiring fire-fighting abnormity related parameters through fire-fighting monitoring equipment.
9. The apparatus of claim 8, wherein the emergency response scheme further comprises: emergency equipment response measures;
the processor is further configured to control the emergency device to perform the emergency response action.
10. The apparatus of claim 8, wherein the processor is further configured to pre-process the security-related parameter, wherein the pre-processing comprises: classifying the safety-related parameters, wherein the classifying comprises: image data or text data.
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| CN107561952A (en) * | 2017-08-25 | 2018-01-09 | 安徽实运信息科技有限责任公司 | A kind of bus intelligence control system |
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