CN115225667B - Train safety detection auxiliary method based on edge calculation - Google Patents
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Abstract
The invention provides an edge calculation-based train safety detection auxiliary method, which is characterized in that edge calculation node terminals are arranged at different positions in a train, and independent safety detection is carried out on different areas of the train by taking the edge calculation node terminals as references, so that the train body is monitored in a partitioning manner, the detected images of the areas in the train and the running state data of the train body can be independently analyzed and processed, the timeliness and the reliability of the safety detection of the train are improved, and the labor cost of the safety detection is reduced.
Description
Technical Field
The invention relates to the technical field of train operation management, in particular to an auxiliary train safety detection method based on edge calculation.
Background
Trains often carry a large number of passengers, which makes the activities of personnel inside the train carriage complex, and once an emergency occurs, the interior of the carriage may be confused. In addition, the train is extremely easily influenced by external crosswind in the high-speed running process, so that the train body is severely jolted and tilted. The conditions can bring certain potential safety hazards to the running of the train. In the prior art, the live condition of train running can be known to a certain extent by carrying out video monitoring and running gesture detection on the interior of the train, but the detection of linkage forms cannot be carried out aiming at different areas in the train by the aid of the mode, so that timeliness and reliability of safety detection on the train are reduced, and labor cost of the safety detection cannot be reduced.
Disclosure of Invention
Aiming at the defects existing in the prior art, the invention provides an edge calculation-based train safety detection auxiliary method, which is characterized in that edge calculation node terminals are respectively arranged at a plurality of positions in a train, each edge calculation node terminal is respectively connected with a camera device and a driving induction device, so as to obtain an image of an internal area of the train and driving state data of a train body, and then whether personnel abnormal conditions exist in the internal area of the train or safety accident events occur or whether driving safety hidden danger events exist in the driving process of the train are judged; uploading a notification message to a train driving management platform terminal through an edge computing node terminal; according to the auxiliary detection method for train safety detection, the edge computing node terminals are arranged at different positions in the train, the edge computing node terminals are used as the reference to carry out independent safety detection on different areas of the train, so that the train body is monitored in a partitioning mode, the detected images of the areas in the train and the running state data of the train body can be independently analyzed and processed, the timeliness and the reliability of safety detection on the train are improved, and the labor cost of the safety detection is reduced.
The invention provides an edge calculation-based train safety detection auxiliary method, which comprises the following steps of:
step S1, respectively installing edge computing node terminals at a plurality of different positions in a train; connecting each edge computing node terminal with a camera device and a driving induction device, and indicating the camera device and the driving induction device to perform data acquisition calibration operation;
step S2, the camera equipment is instructed to shoot the train internal area, and the train internal area image is obtained; analyzing and processing the train interior region image through the edge computing node terminal, and judging whether a personnel abnormal condition exists in the train interior region or a safety accident event occurs;
step S3, the driving induction equipment is instructed to detect the train body to obtain the running state data of the train body; analyzing and processing the vehicle body running state data through the edge computing node terminal, and judging whether a running potential safety hazard event exists in the running process of the train or not;
and S4, uploading a notification message to the train driving management platform terminal through the edge computing node terminal according to the judgment result of the step S2 or the step S3.
Further, in the step S1, edge computing node terminals are installed at a plurality of different positions inside the train, and each edge computing node terminal is connected with an image capturing device and a driving induction device, and specifically includes:
an edge computing node terminal is respectively installed in each carriage of the train, and each edge and each computing node terminal are connected with a plurality of camera devices and a plurality of driving induction devices; all the camera devices arranged in each carriage can jointly shoot the inside of the carriage without blind areas, and driving induction devices are arranged at four corner positions in each carriage.
Further, in the step S1, the instructing the image capturing device and the driving induction device to perform the data acquisition calibration operation specifically includes:
and indicating the image pickup equipment and the driving induction equipment to mark the acquired data with the number information of the carriage where the acquired data are located in the data acquisition process.
Further, in the step S2, the step of instructing the image capturing device to capture an image of an internal area of the train to obtain an image of the internal area of the train specifically includes:
and the camera equipment is instructed to periodically scan and shoot the inner area of the carriage to obtain an image of the inner area of the carriage.
Further, in the step S2, the analyzing the image of the train interior area by the edge computing node terminal, and determining whether the train interior area has a personnel abnormal situation or a security accident event specifically includes:
after the image pickup device finishes one scanning shooting, acquiring an image of the inner area of the carriage obtained by the image pickup device through the edge computing node terminal;
extracting and obtaining passenger facial feature information and passenger limb action information existing in a carriage from the carriage internal image through the edge computing node terminal;
comparing the facial feature information of the passengers with facial feature information of registered ticket buying passengers corresponding to the current shift of the train, and determining whether unauthorized persons take train events or not;
determining whether passengers in the carriage make illegal actions according to the passenger limb action information;
if the unauthorized person is determined to take the train event or the passenger makes the illegal action, the abnormal condition of the person in the carriage or the accident event is determined.
Further, in the step S3, the step of indicating the driving induction device to detect the train body, where the step of obtaining the driving state data of the train body specifically includes:
and indicating the driving induction equipment to collect the vibration amplitude, the vibration frequency and the side-tipping angle value of the carriage body in the driving process.
Further, in the step S3, the analyzing the vehicle body running state data by the edge computing node terminal, and determining whether the train has a running safety hidden trouble event in the running process specifically includes:
comparing the vibration amplitude of the carriage body with a preset vibration amplitude threshold value through the edge computing node terminal, comparing the vibration frequency of the carriage body with a preset vibration frequency threshold value, and comparing the side-tipping angle value of the carriage body with a preset tipping angle threshold value;
if the vibration amplitude of the carriage body exceeds a preset vibration amplitude threshold value, or the vibration frequency of the carriage body exceeds a preset vibration frequency threshold value, or the side-tipping angle value of the carriage body exceeds a preset tipping angle threshold value, determining that a driving potential safety hazard event exists in the driving process of the train; otherwise, determining that the train has no driving safety hidden trouble event in the driving process.
Further, in the step S4, uploading, by the edge computing node terminal, the notification message to the train driving management platform terminal according to the determination result in the step S2 or the step S3 specifically includes:
if the abnormal condition of personnel or the occurrence of a safety accident event or the occurrence of a driving safety hidden trouble event in the internal area of the train is determined, uploading a notification message to a driving management platform terminal of the train by an edge computing node terminal; the notification message comprises a carriage number and occurrence time corresponding to the occurrence of personnel abnormal conditions, safety accident events or driving safety hidden danger events.
Further, in the step S4, the method further includes the step that the train driving management platform terminal sends an alarm and control signal to staff in the train according to the notification message, and the specific process is as follows:
step S401, when a safety accident event or a driving safety hidden trouble event occurs, the train driving management platform terminal determines the staff corresponding to the sending alarm and control signals according to the carriage number corresponding to the safety accident event or the driving safety hidden trouble event in the notification message uploaded by the edge computing node terminal and the carriage distribution condition of the staff in the train by using the following formula (1),
in the above formula (1), E (a) represents a control value corresponding to a control signal for transmitting an alarm to an a-th worker inside the train; n (a) represents the carriage number of the a-th staff in the train at the current moment; n (i) represents the compartment number corresponding to the occurrence of the ith safety accident event or the running safety hidden trouble event; the absolute value is calculated by the expression; i represents the total number of vehicles with safety accident events or driving safety hidden trouble events; m represents the total number of carriages of the train; a represents the total number of staff existing in the train;substituting a value from 1 to a into brackets to obtain a minimum value in brackets; />When substituting the value of I from 1 to I into the bracket, the function value of the function is 1 if the value of I for establishing the bracket inequality exists, and is 0 if the value of I for establishing the bracket inequality does not exist;
if E (a) =1, then sending alarm and control signals to the a-th staff inside the train, and proceeding to the following steps S402 and S403;
if E (a) =0, no alarm and control signal is sent to the a-th staff inside the train;
step S402, an alarm device is worn on the arm of a worker existing in the train, the alarm device comprises a row of vibration motors, the number of the vibration motors is the same as that of carriages of the train, each vibration motor corresponds to one carriage of the train, after the alarm device receives the alarm and control signals, vibration enabling of the vibration motor corresponding to the carriage number corresponding to the occurrence of a safety accident event or a driving safety hidden trouble event is started, and the vibration frequency of the vibration motor is controlled according to the occurrence time corresponding to the abnormal condition of the person in the carriage and the safety accident event or the driving safety hidden trouble event by using the following formula (2),
in the formula (2), f, n (i) -represents the vibration frequency of the vibration motor corresponding to the n (i) carriage in the on-body alarm device of the staff corresponding to the ith safety accident event or the carriage corresponding to the running safety hidden trouble event; f (f) max Representing the maximum vibration frequency of a vibration motor in the alarm device on the staff; d, n (i) -represents the vehicle corresponding to the ith safety accident event or driving safety hidden trouble eventAbnormal people in the carriage; t is t 0 N (i) -represents the abnormal conditions of personnel in a carriage corresponding to the occurrence of the ith safety accident event or the driving safety hidden trouble event and the occurrence time corresponding to the occurrence of the safety accident event or the driving safety hidden trouble event, wherein the occurrence time is the abnormal conditions and the duration time of the safety accident event or the driving safety hidden trouble event;
substituting the value of I from 1 to I into the formula (2) to obtain vibration frequencies of all vibration motors which are started to enable in the alarm devices on the staff, and vibrating the alarm devices on the arms of the staff screened in the step S401 according to the vibration frequencies;
step S403, a row of LED lamps are further arranged beside a row of vibration motors in the alarm device, each vibration motor corresponds to one LED lamp one by one, wherein the LED lamps corresponding to the vibration motors enabled by vibration are started and red is displayed, and the color of the LED lamps is controlled to change according to the carriage numbers corresponding to the LED lamps which light the red lamps and the carriage numbers of each staff in the train by utilizing the following formula (3)
In the formula (3), C, n (i) -represents an LED lamp color control value corresponding to n (i) carriage in the on-body alarm device of the staff corresponding to the i-th safety accident event or the carriage corresponding to the occurrence of the driving safety hidden trouble event;
if C, n (i) - =0, it means that the current staff does not reach the n (i) carriage, and the color of the LED lamp corresponding to the n (i) carriage in the staff on-body alarm device corresponding to the i-th safety accident event or the carriage corresponding to the driving safety hidden trouble event is controlled to keep the color unchanged;
if C, n (i) - =1, it indicates that the current staff has reached the n (i) carriage, and the color control of the LED lamp corresponding to the n (i) carriage in the staff on-body alarm device corresponding to the i-th safety accident event or the carriage corresponding to the driving safety hidden trouble event is changed to green.
Compared with the prior art, the edge calculation-based train safety detection auxiliary method has the advantages that edge calculation node terminals are respectively arranged at a plurality of positions in a train, each edge calculation node terminal is respectively connected with a camera device and a driving induction device, so that the image of an internal area of the train and the driving state data of a train body are obtained, and then whether personnel abnormal conditions exist in the internal area of the train or a safety accident event occurs or whether the train has a driving safety hidden trouble event in the driving process is judged; uploading a notification message to a train driving management platform terminal through an edge computing node terminal; according to the auxiliary detection method for train safety detection, the edge computing node terminals are arranged at different positions in the train, the edge computing node terminals are used as the reference to carry out independent safety detection on different areas of the train, so that the train body is monitored in a partitioning mode, the detected images of the areas in the train and the running state data of the train body can be independently analyzed and processed, the timeliness and the reliability of safety detection on the train are improved, and the labor cost of the safety detection is reduced.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims thereof as well as the appended drawings.
The technical scheme of the invention is further described in detail through the drawings and the embodiments.
Drawings
In order to more clearly illustrate the embodiments of the invention or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, it being obvious that the drawings in the following description are only some embodiments of the invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a schematic flow chart of an auxiliary method for train safety detection based on edge calculation.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1, a schematic flow chart of an edge calculation-based train safety detection assisting method according to an embodiment of the invention is provided. The train safety detection auxiliary method based on edge calculation comprises the following steps:
step S1, respectively installing edge computing node terminals at a plurality of different positions in a train; connecting each edge computing node terminal with a camera device and a driving induction device, and indicating the camera device and the driving induction device to perform data acquisition calibration operation;
step S2, the camera equipment is instructed to shoot the internal area of the train to obtain an internal area image of the train; analyzing and processing the train interior region image through the edge computing node terminal, and judging whether a personnel abnormal condition exists in the train interior region or a safety accident event occurs;
step S3, the driving induction equipment is instructed to detect the train body to obtain the running state data of the train body; analyzing and processing the vehicle body running state data through the edge computing node terminal, and judging whether a running safety hidden trouble event exists in the running process of the train or not;
and S4, uploading a notification message to the train driving management platform terminal through the edge computing node terminal according to the judgment result of the step S2 or the step S3.
The beneficial effects of the technical scheme are as follows: according to the train safety detection auxiliary method based on edge calculation, edge calculation node terminals are respectively installed at a plurality of positions in a train, each edge calculation node terminal is respectively connected with a camera device and a driving induction device, so that an image of an internal area of the train and driving state data of a train body are obtained, and whether personnel abnormal conditions exist in the internal area of the train or a safety accident event occurs or whether a driving safety hidden danger event exists in the driving process of the train is judged; uploading a notification message to a train driving management platform terminal through an edge computing node terminal; according to the auxiliary detection method for train safety detection, the edge computing node terminals are arranged at different positions in the train, the edge computing node terminals are used as the reference to carry out independent safety detection on different areas of the train, so that the train body is monitored in a partitioning mode, the detected images of the areas in the train and the running state data of the train body can be independently analyzed and processed, the timeliness and the reliability of safety detection on the train are improved, and the labor cost of the safety detection is reduced.
Preferably, in this step S1, edge computing node terminals are installed at several different positions inside the train, respectively, and each edge computing node terminal is connected with an image capturing device and a driving induction device, specifically including:
an edge computing node terminal is respectively installed in each carriage of the train, and each edge and each computing node terminal are connected with a plurality of camera devices and a plurality of driving induction devices; all the camera devices arranged in each carriage can jointly shoot the inside of the carriage without blind areas, and driving induction devices are arranged at four corner positions in each carriage.
The beneficial effects of the technical scheme are as follows: each carriage of the train is used as an independent space unit, and an edge computing node terminal is respectively installed in each carriage, so that each edge computing node terminal can only detect the internal area of a specific carriage, the detection areas of different edge computing node terminals are prevented from overlapping, and the full-range detection of the interior of the train can be realized under the condition of using a small number of edge computing node terminals.
Preferably, in the step S1, the instructing the image capturing device and the driving induction device to perform the data acquisition calibration operation specifically includes:
and indicating the image pickup equipment and the driving induction equipment to mark the acquired data with the number information of the carriage where the data are positioned in the data acquisition process.
The beneficial effects of the technical scheme are as follows: by the mode, the data acquired by different camera equipment and driving induction equipment can be identified in a distinguishing mode according to the number information of the carriage where the data are located, so that the data can be identified.
Preferably, in the step S2, the image capturing device is instructed to capture an image of an internal area of the train, and the obtaining an image of the internal area of the train specifically includes:
the imaging device is instructed to periodically scan and shoot the inner area of the carriage to obtain an image of the inner area of the carriage.
The beneficial effects of the technical scheme are as follows: the indication camera equipment performs periodic scanning shooting on the internal area of the carriage to obtain an internal area image of the carriage, and can perform full-range shooting sampling on the internal area of the carriage, so that the condition of missing shooting is avoided.
Preferably, in the step S2, the analyzing and processing the image of the train interior area by the edge computing node terminal, and determining whether the train interior area has a personnel abnormal situation or a security accident event specifically includes:
each time the image pickup device finishes one scanning shooting, acquiring an image of the inner area of the carriage shot by the image pickup device through the edge computing node terminal;
extracting and obtaining passenger facial feature information and passenger limb action information existing in the carriage from the carriage internal image through the edge computing node terminal;
comparing the facial feature information of the passenger with facial feature information of registered ticket buying passengers corresponding to the current shift of the train, and determining whether unauthorized persons take train events or not;
determining whether passengers in the carriage make illegal actions according to the passenger limb action information;
if the unauthorized person is determined to take the train event or the passenger makes the illegal action, the abnormal condition of the person in the carriage or the accident event is determined.
The beneficial effects of the technical scheme are as follows: by the method, the image of the carriage inner area shot by the shooting equipment is identified by the edge computing node terminal, so that passenger facial feature information and passenger limb action information are obtained, whether unauthorized persons take train events or whether personnel abnormal conditions or safety accident events exist or not is judged conveniently on two aspects of passenger identity and passenger limb action, and reliability of judging the safety state in the train is improved.
Preferably, in the step S3, the step of indicating the driving induction device to detect the train body, and the step of obtaining the driving state data of the train body specifically includes:
and indicating the driving induction equipment to collect the vibration amplitude, the vibration frequency and the side-tipping angle value of the carriage body in the driving process.
The beneficial effects of the technical scheme are as follows: the running sensing equipment such as an acceleration sensor is utilized to collect the vibration amplitude, the vibration frequency and the rolling angle value of the carriage body in the running process of the carriage body, so that the real-time vibration state and the rolling state of the train can be accurately and quantitatively detected.
Preferably, in the step S3, the analyzing and processing the driving status data of the vehicle body by the edge computing node terminal, and determining whether the train has a driving safety hidden trouble event in the driving process specifically includes:
comparing the vibration amplitude of the carriage body with a preset vibration amplitude threshold value through the edge computing node terminal, comparing the vibration frequency of the carriage body with a preset vibration frequency threshold value, and comparing the side-tipping angle value of the carriage body with a preset tipping angle threshold value;
if the vibration amplitude of the carriage body exceeds a preset vibration amplitude threshold value, or the vibration frequency of the carriage body exceeds a preset vibration frequency threshold value, or the side-tipping angle value of the carriage body exceeds a preset tipping angle threshold value, determining that a potential safety hazard event exists in the running process of the train; otherwise, determining that the train has no driving safety hidden trouble event in the driving process.
The beneficial effects of the technical scheme are as follows: by the mode, whether the train has a driving safety hidden trouble event in the driving process is judged by taking the vibration amplitude of the carriage body, the vibration frequency of the carriage body and the side-tipping angle value of the carriage body as references, so that potential safety hidden trouble of the train in the driving process is timely found.
Preferably, in the step S4, uploading, by the edge computing node terminal, the notification message to the train driving management platform terminal according to the determination result in the step S2 or the step S3 specifically includes:
if the abnormal condition of personnel or the occurrence of a safety accident event or the occurrence of a driving safety hidden trouble event in the internal area of the train is determined, uploading a notification message to a driving management platform terminal of the train by an edge computing node terminal; the notification message comprises a carriage number and occurrence time corresponding to the occurrence of personnel abnormal conditions, safety accident events or driving safety hidden danger events.
The beneficial effects of the technical scheme are as follows: the edge computing node terminal uploads the notification message to the train driving management platform terminal, so that the train driving management platform terminal can conveniently and accurately assign the staff to go to the corresponding train area for processing, and potential safety hazards of the train in the driving process are eliminated.
Preferably, in the step S4, the train driving management platform terminal further includes sending alarm and control signals to staff in the train according to the notification message, and the specific process is as follows:
step S401, when a safety accident event or a driving safety hidden trouble event occurs, the train driving management platform terminal determines the staff corresponding to the sending alarm and control signals according to the carriage number corresponding to the safety accident event or the driving safety hidden trouble event in the notification message uploaded by the edge computing node terminal and the carriage distribution condition of the staff in the train by using the following formula (1),
in the above formula (1), E (a) represents a control value corresponding to a control signal for transmitting an alarm to an a-th worker inside the train; n (a) represents the carriage number of the a-th staff in the train at the current moment; n (i) represents the compartment number corresponding to the occurrence of the ith safety accident event or the running safety hidden trouble event; the absolute value is calculated by the expression; i represents the total number of vehicles with safety accident events or driving safety hidden trouble events; m represents the total number of carriages of the train; a represents the total number of staff existing in the train;substituting a value from 1 to a into brackets to obtain a minimum value in brackets; />When substituting the value of I from 1 to I into the bracket, the function value of the function is 1 if the value of I for establishing the bracket inequality exists, and is 0 if the value of I for establishing the bracket inequality does not exist;
if E (a) =1, then sending alarm and control signals to the a-th staff inside the train, and proceeding to the following steps S402 and S403;
if E (a) =0, no alarm and control signal is sent to the a-th staff inside the train;
step S402, an alarm device is worn on the arm of a worker existing in the train, the alarm device comprises a row of vibration motors, the number of the vibration motors is the same as that of carriages of the train, each vibration motor corresponds to one carriage of the train, after the alarm device receives the alarm and control signals, vibration enabling of the vibration motor corresponding to the carriage number corresponding to the occurrence of a safety accident event or a driving safety hidden trouble event is started, and the vibration frequency of the vibration motor is controlled according to the occurrence time corresponding to the abnormal condition of the person in the carriage and the safety accident event or the driving safety hidden trouble event by using the following formula (2),
in the formula (2), f, n (i) -represents the vibration frequency of the vibration motor corresponding to the n (i) carriage in the on-body alarm device of the staff corresponding to the ith safety accident event or the carriage corresponding to the running safety hidden trouble event; f (f) max Representing the maximum vibration frequency of a vibration motor in the alarm device on the staff; d, n (i) -represents the number of abnormal personnel in the carriage corresponding to the occurrence of the ith safety accident event or the driving safety hidden trouble event; t is t 0 N (i) -represents the abnormal conditions of personnel in a carriage corresponding to the occurrence of the ith safety accident event or the driving safety hidden trouble event and the occurrence time corresponding to the occurrence of the safety accident event or the driving safety hidden trouble event, wherein the occurrence time is the abnormal conditions and the duration time of the safety accident event or the driving safety hidden trouble event;
substituting the value of I from 1 to I into the formula (2) to obtain vibration frequencies of all vibration motors which are started to enable in the alarm devices on the staff, and vibrating the alarm devices on the arms of the staff screened in the step S401 according to the vibration frequencies;
step S403, a row of LED lamps are arranged beside a row of vibration motors in the alarm device, each vibration motor corresponds to one LED lamp one by one, wherein the LED lamp corresponding to the vibration motor with vibration enabled is started and red is displayed, and the color of the LED lamp is controlled to change according to the carriage number corresponding to the LED lamp with red light and the carriage number of each staff in the train by using the following formula (3)
In the formula (3), C, n (i) -represents an LED lamp color control value corresponding to n (i) carriage in the on-body alarm device of the staff corresponding to the i-th safety accident event or the carriage corresponding to the occurrence of the driving safety hidden trouble event;
if C, n (i) - =0, it means that the current staff does not reach the n (i) carriage, and the color of the LED lamp corresponding to the n (i) carriage in the staff on-body alarm device corresponding to the i-th safety accident event or the carriage corresponding to the driving safety hidden trouble event is controlled to keep the color unchanged;
if C, n (i) - =1, it indicates that the current staff has reached the n (i) carriage, and the color control of the LED lamp corresponding to the n (i) carriage in the staff on-body alarm device corresponding to the i-th safety accident event or the carriage corresponding to the driving safety hidden trouble event is changed to green.
The beneficial effects of the technical scheme are as follows: by utilizing the formula (1), the staff sending the alarm and control signals is determined according to the carriage numbers corresponding to the safety accident event or the driving safety hidden trouble event in the notification message uploaded by the edge computing node terminal and the carriage distribution condition of the staff in the train, so that the purposes of nearby rescue and saturated rescue are achieved; then, the above formula (2) is used. The vibration frequency of the vibration motor is controlled according to the occurrence time corresponding to the abnormal conditions of personnel and the safety accident event or the traffic safety hidden trouble event in the carriage, so that the personnel obtaining the alarm information can know the position of the problem carriage and the severity of each problem carriage, and the personnel can conveniently carry out the preparation of the advance rescue; and finally, utilizing the formula (3), controlling the color of the LED lamp to change color according to the carriage number corresponding to the LED lamp which lights the red lamp and the carriage number of each staff in the train, so that the staff who obtains the alarm information knows which problem carriages are arrived by the staff and which are not arrived, and the staff can conveniently carry out overall planning rescue.
As can be seen from the content of the above embodiment, the edge computing node terminals are respectively installed at a plurality of positions in the train, and each edge computing node terminal is respectively connected with the camera device and the driving induction device, so as to obtain the image of the internal area of the train and the driving state data of the train body, and then judge whether the internal area of the train has personnel abnormal conditions or safety accident event or whether the train has driving safety hidden trouble event in the driving process; uploading a notification message to a train driving management platform terminal through an edge computing node terminal; according to the auxiliary detection method for train safety detection, the edge computing node terminals are arranged at different positions in the train, the edge computing node terminals are used as the reference to carry out independent safety detection on different areas of the train, so that the train body is monitored in a partitioning mode, the detected images of the areas in the train and the running state data of the train body can be independently analyzed and processed, the timeliness and the reliability of safety detection on the train are improved, and the labor cost of the safety detection is reduced.
It will be apparent to those skilled in the art that various modifications and variations can be made to the present invention without departing from the spirit or scope of the invention. Thus, it is intended that the present invention also include such modifications and alterations insofar as they come within the scope of the appended claims or the equivalents thereof.
Claims (6)
1. The train safety detection auxiliary method based on edge calculation is characterized by comprising the following steps of:
step S1, respectively installing edge computing node terminals at a plurality of different positions in a train; connecting each edge computing node terminal with a camera device and a driving induction device, and indicating the camera device and the driving induction device to perform data acquisition calibration operation;
step S2, the camera equipment is instructed to shoot the train internal area, and the train internal area image is obtained; analyzing and processing the train interior region image through the edge computing node terminal, and judging whether a personnel abnormal condition exists in the train interior region or a safety accident event occurs; in the step S2, the analyzing and processing the images of the train interior area through the edge computing node terminal, and determining whether the train interior area has a personnel abnormal situation or a security accident event specifically includes: after the image pickup device finishes one scanning shooting, acquiring an image of the inner area of the carriage obtained by the image pickup device through the edge computing node terminal; extracting and obtaining passenger facial feature information and passenger limb action information existing in a carriage from the carriage internal image through the edge computing node terminal; comparing the facial feature information of the passengers with facial feature information of registered ticket buying passengers corresponding to the current shift of the train, and determining whether unauthorized persons take train events or not; determining whether passengers in the carriage make illegal actions according to the passenger limb action information; if the unauthorized person takes the train event or the passenger makes the illegal action, the abnormal condition of the person or the safety accident event in the carriage inner area is determined;
step S3, the driving induction equipment is instructed to detect the train body to obtain the running state data of the train body; analyzing and processing the vehicle body running state data through the edge computing node terminal, and judging whether a running potential safety hazard event exists in the running process of the train or not;
step S4, uploading a notification message to the train driving management platform terminal through the edge computing node terminal according to the judgment result of the step S2 or the step S3;
in the step S4, uploading, by the edge computing node terminal, the notification message to the train driving management platform terminal according to the determination result in the step S2 or the step S3 specifically includes:
if the abnormal condition of personnel or the occurrence of a safety accident event or the occurrence of a driving safety hidden trouble event in the internal area of the train is determined, uploading a notification message to a driving management platform terminal of the train by an edge computing node terminal; the notification message comprises a carriage number and occurrence time corresponding to the occurrence of personnel abnormal conditions, safety accident events or driving safety hidden danger events;
in the step S4, the train driving management platform terminal sends an alarm and control signal to staff in the train according to the notification message, and the specific process is as follows:
step S401, when a safety accident event or a driving safety hidden trouble event occurs, the train driving management platform terminal determines the staff corresponding to the sending alarm and control signals according to the carriage number corresponding to the safety accident event or the driving safety hidden trouble event in the notification message uploaded by the edge computing node terminal and the carriage distribution condition of the staff in the train by using the following formula (1),
in the above formula (1), E (a) represents a control value corresponding to a control signal for transmitting an alarm to an a-th worker inside the train; n (a) represents the carriage number of the a-th staff in the train at the current moment; n (i) represents the compartment number corresponding to the occurrence of the ith safety accident event or the running safety hidden trouble event; the absolute value is calculated by the expression; i represents the total number of vehicles with safety accident events or driving safety hidden trouble events; m represents the total number of carriages of the train; a represents the total number of staff existing in the train;substituting a value from 1 to a into brackets to obtain a minimum value in brackets; />When substituting the value of I from 1 to I into the bracket, the function value of the function is 1 if the value of I for establishing the bracket inequality exists, and is 0 if the value of I for establishing the bracket inequality does not exist;
if E (a) =1, then sending alarm and control signals to the a-th staff inside the train, and proceeding to the following steps S402 and S403;
if E (a) =0, no alarm and control signal is sent to the a-th staff inside the train;
step S402, an alarm device is worn on the arm of a worker existing in the train, the alarm device comprises a row of vibration motors, the number of the vibration motors is the same as that of carriages of the train, each vibration motor corresponds to one carriage of the train, after the alarm device receives the alarm and control signals, vibration enabling of the vibration motor corresponding to the carriage number corresponding to the occurrence of a safety accident event or a driving safety hidden trouble event is started, and the vibration frequency of the vibration motor is controlled according to the occurrence time corresponding to the abnormal condition of the person in the carriage and the safety accident event or the driving safety hidden trouble event by using the following formula (2),
in the above formula (2), f [ n (i) ]]Representing the vibration frequency of a vibration motor corresponding to an n (i) carriage in a personnel on-body alarm device corresponding to the carriage corresponding to the ith safety accident event or the driving safety hidden trouble event; f (f) max Representing the maximum vibration frequency of a vibration motor in the alarm device on the staff; d [ n (i)]The number of abnormal personnel in the carriage corresponding to the ith safety accident event or the running safety hidden trouble event is represented; t is t 0 [n(i)]Representing the occurrence time of the occurrence of the safety accident event or the driving safety hidden trouble event and the occurrence of the abnormal condition of personnel in the carriage corresponding to the occurrence of the ith safety accident event or the driving safety hidden trouble event, wherein the occurrence time is the abnormal condition and the duration time of the safety accident event or the driving safety hidden trouble event;
substituting the value of I from 1 to I into the formula (2) to obtain vibration frequencies of all vibration motors which are started to enable in the alarm devices on the staff, and vibrating the alarm devices on the arms of the staff screened in the step S401 according to the vibration frequencies;
step S403, a row of LED lamps are further arranged beside a row of vibration motors in the alarm device, each vibration motor corresponds to one LED lamp one by one, wherein the LED lamps corresponding to the vibration motors enabled by vibration are started and red is displayed, and the color of the LED lamps is controlled to change according to the carriage numbers corresponding to the LED lamps which light the red lamps and the carriage numbers of each staff in the train by utilizing the following formula (3)
In the above formula (3), C [ n (i) ] represents the color control value of the LED lamp corresponding to the n (i) carriage in the on-body alarm device of the staff corresponding to the ith safety accident event or the carriage corresponding to the occurrence of the driving safety hidden trouble event;
if C [ n (i) ]=0, the current staff does not reach the n (i) carriage, and the color of the LED lamp corresponding to the n (i) carriage in the staff on-body alarm device corresponding to the i-th safety accident event or the carriage corresponding to the running safety hidden trouble event is controlled to keep unchanged;
if C [ n (i) ]=1, the current staff reaches the n (i) carriage, and the color control of the LED lamp corresponding to the n (i) carriage in the staff on-body alarm device corresponding to the i-th safety accident event or the carriage corresponding to the running safety hidden trouble event is changed into green.
2. The edge calculation-based train safety detection assisting method according to claim 1, wherein:
in the step S1, edge computing node terminals are installed at a plurality of different positions in the train, and each edge computing node terminal is connected with a camera device and a driving induction device, and the method specifically comprises the following steps:
an edge computing node terminal is respectively installed in each carriage of the train, and each edge and each computing node terminal are connected with a plurality of camera devices and a plurality of driving induction devices; all the camera devices arranged in each carriage can jointly shoot the inside of the carriage without blind areas, and driving induction devices are arranged at four corner positions in each carriage.
3. The edge calculation-based train safety detection assisting method according to claim 2, wherein:
in the step S1, the instructing the image capturing device and the driving induction device to perform the data acquisition calibration operation specifically includes:
and indicating the image pickup equipment and the driving induction equipment to mark the acquired data with the number information of the carriage where the acquired data are located in the data acquisition process.
4. The edge calculation-based train safety detection assisting method according to claim 3, wherein:
in the step S2, the step of instructing the image capturing device to capture an image of an internal area of the train to obtain an image of the internal area of the train specifically includes:
and the camera equipment is instructed to periodically scan and shoot the inner area of the carriage to obtain an image of the inner area of the carriage.
5. The edge calculation-based train safety detection assisting method according to claim 1, wherein:
in the step S3, the step of indicating the driving induction device to detect the train body, and the step of obtaining the driving state data of the train body specifically includes:
and indicating the driving induction equipment to collect the vibration amplitude, the vibration frequency and the side-tipping angle value of the carriage body in the driving process.
6. The edge calculation-based train safety detection assisting method according to claim 5, wherein:
in the step S3, the analyzing and processing the driving state data of the vehicle body by the edge computing node terminal, and determining whether the train has a driving safety hidden trouble event in the driving process specifically includes:
comparing the vibration amplitude of the carriage body with a preset vibration amplitude threshold value through the edge computing node terminal, comparing the vibration frequency of the carriage body with a preset vibration frequency threshold value, and comparing the side-tipping angle value of the carriage body with a preset tipping angle threshold value;
if the vibration amplitude of the carriage body exceeds a preset vibration amplitude threshold value, or the vibration frequency of the carriage body exceeds a preset vibration frequency threshold value, or the side-tipping angle value of the carriage body exceeds a preset tipping angle threshold value, determining that a driving potential safety hazard event exists in the driving process of the train; otherwise, determining that the train has no driving safety hidden trouble event in the driving process.
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