CN116485285A - Safe driving evaluation method, device, electronic equipment and storage medium - Google Patents
Safe driving evaluation method, device, electronic equipment and storage medium Download PDFInfo
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Abstract
The application provides a safe driving evaluation method, a safe driving evaluation device, electronic equipment and a storage medium, wherein the safe driving evaluation method comprises the following steps: the method comprises the steps of obtaining physiological index data, psychological health assessment results and business capability test results of a driver of the urban rail train in a preset time period before the post, determining a first score result of the driver in a health assessment dimension according to the physiological index data, determining a second score result of the driver in the psychological health assessment dimension according to the psychological health test results, determining a third score result of the driver in the business capability assessment dimension according to the business capability test results, and generating a target assessment result of whether the driver is suitable for driving the urban rail train or not according to the three score results. Therefore, the physiological index data, the psychological health assessment result and the business capability test result of the driver in the preset time period before the post are combined, objective assessment is intelligently performed on whether the driver is suitable for driving the urban rail train, and the assessment accuracy is improved.
Description
Technical Field
The present disclosure relates to the field of computer technologies, and in particular, to a safe driving evaluation method, a safe driving evaluation device, an electronic device, and a storage medium.
Background
In urban rail transit, a driver is one of the core workers in urban rail transit. In order to ensure safe operation of the urban rail train before the driver drives the corresponding urban rail train, a manual method is generally used in the related art to evaluate whether the driver drives the corresponding urban rail train. However, if the driver is properly driving the corresponding urban rail train is evaluated manually, an objective situation is likely to occur. Therefore, how to determine whether a driver is properly driving a corresponding urban rail train is a technical problem that needs to be solved at present.
Disclosure of Invention
The application provides a safe driving evaluation method, a safe driving evaluation device, electronic equipment and a storage medium.
An embodiment of an aspect of the present application provides a safe driving evaluation method, including: acquiring physiological index data, a psychological health evaluation result and a business capability test result of a driver of the urban rail train in a preset time period before the post; inputting the physiological index data into a vital sign detection model to obtain a first score result of the driver in a health assessment dimension; inputting the psychological health test result into a psychological health assessment model to obtain a second grading result of the driver in a psychological health assessment dimension; inputting the business capability test result into a capability assessment model to obtain a third score result of the driver in a business capability assessment dimension; and generating a target evaluation result of whether the driver is suitable for driving the urban rail train according to the first score result, the second score result and the third score result.
Another embodiment of the present application proposes a safe driving evaluation device, the device comprising: the first acquisition module is used for acquiring physiological index data, a psychological health evaluation result and a business capability test result of a driver of the urban rail train in a preset time period before the post; the first determining module is used for inputting the physiological index data into a vital sign detection model so as to obtain a first score result of the driver in a health evaluation dimension; a second determining module, configured to input the mental health test result into a mental health assessment model, so as to obtain a second score result of the driver in a mental health assessment dimension; the third determining module is used for inputting the service capability test result into a capability assessment model so as to obtain a third score result of the driver in a service capability assessment dimension; and the generation module is used for generating a target evaluation result of whether the driver is suitable for driving the urban rail train according to the first score result, the second score result and the third score result.
Another embodiment of the present application proposes an electronic device, including: a memory, a processor; the memory stores computer instructions that, when executed by the processor, implement the safe driving assessment method in the embodiments of the present application.
Another embodiment of the present application proposes a computer-readable storage medium, on which a computer program is stored, characterized in that the computer program, when executed by a processor, implements the safe driving assessment method disclosed in the embodiments of the present application.
According to the technical scheme provided by the embodiment of the application, the physiological index data, the psychological health assessment result and the business capability test result of the driver of the urban rail train in a preset time period before the post are obtained, the physiological index data are input into the vital sign detection model to obtain a first score result of the driver in the health assessment dimension, the psychological health test result is input into the psychological health assessment model to obtain a second score result of the driver in the psychological health assessment dimension, the business capability test result is input into the capability assessment model to obtain a third score result of the driver in the business capability assessment dimension, and whether the driver is suitable for driving the urban rail train is generated according to the first score result, the second score result and the third score result. Therefore, the physiological index data, the psychological health assessment result and the business capability test result of the driver in the preset time period before the post are combined, objective assessment is intelligently performed on whether the driver is suitable for driving the urban rail train, and the assessment accuracy is improved.
Other effects of the above alternative will be described below in connection with specific embodiments.
Drawings
The drawings are for better understanding of the present solution and do not constitute a limitation of the present application. Wherein:
fig. 1 is a flow chart of a safe driving assessment method according to one embodiment of the present application.
Fig. 2 is a flow chart of a safe driving assessment method according to another embodiment of the present application.
Fig. 3 is a flow chart of a safe driving assessment method according to another embodiment of the present application.
Fig. 4 is a flow chart of a safe driving assessment method according to another embodiment of the present application.
Fig. 5 is a flow chart of a safe driving assessment method according to another embodiment of the present application.
Fig. 6 is a schematic structural view of a safe driving evaluation apparatus according to an embodiment of the present application.
Fig. 7 is a block diagram of an electronic device according to one embodiment of the present application.
Detailed Description
Embodiments of the present invention are described in detail below, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to like or similar elements or elements having like or similar functions throughout. The embodiments described below by referring to the drawings are exemplary and intended for the purpose of explaining the present application and are not to be construed as limiting the present application.
The following describes a safe driving evaluation method, a safe driving evaluation device and an electronic device according to the embodiments of the present application with reference to the accompanying drawings.
Fig. 1 is a flow chart of a safe driving assessment method according to one embodiment of the present application. It should be noted that, the execution body of the safe driving evaluation method provided in this embodiment is a safe driving evaluation device, and the safe driving evaluation device may be implemented in a software and/or hardware manner, and the safe driving evaluation device in this embodiment may be an electronic device, or may be configured in an electronic device.
The electronic device in the embodiment of the present application may include a terminal device, a server, and the like, for example, the terminal device may be a hardware device having various operating systems, touch screens, and/or display screens, such as a mobile phone, a tablet computer, and a personal digital assistant, which is not specifically limited in this embodiment. In this example, an electronic device is taken as a server for example.
As shown in fig. 1, the safe driving evaluation method may include:
step 101, acquiring physiological index data, a psychological health assessment result and a business capability test result of a driver of the urban rail train in a preset time period before the post.
In some examples, the physiological index data of the driver during a preset period of time before the driver is on duty may be obtained from a wearable device worn by the driver.
In some examples, the wearable device may be a smart bracelet worn on the wrist for the driver.
Wherein the physiological index data may include, but is not limited to, blood pressure, heart rate, blood lipid, body temperature, blood oxygen, etc., and the embodiment is not particularly limited thereto.
In some examples, the mental health assessment results and the business capability test results of the driver within a preset period of time before the driver is on duty may be obtained from a mobile terminal device used by the driver.
The preset time period is preset according to actual requirements, for example, physiological index data, psychological health assessment results and business capability test results of a driver within 6 hours before the driver is on duty can be obtained. For another example, the driver's physiological health index data, mental health assessment results, and business capability test results may be obtained within 1 hour before going on duty.
Step 102, inputting the physiological index data into the vital sign detection model to obtain a first score result of the driver in the health evaluation dimension.
In some exemplary embodiments, the physiological index data is input into a vital sign detection model, and correspondingly, the vital sign detection model scores the driver for health based on the physiological index data to obtain a first score result for the driver in a health assessment dimension.
The larger the value corresponding to the first score result is, the better the health degree corresponding to the driver is, otherwise, the smaller the value corresponding to the first score result is, the worse the health degree corresponding to the driver is.
Step 103, inputting the psychological health test result into the psychological health assessment model to obtain a second grading result of the driver in the psychological health assessment dimension.
In some exemplary embodiments, the mental health test results are input to a mental health assessment model, and correspondingly, the mental health assessment model scores the driver's mental condition based on the mental health test results to obtain a second score result for the driver in the mental health assessment dimension.
And 104, inputting the business capability test result into a capability assessment model to obtain a third score result of the driver in the business capability assessment dimension.
And 105, generating a target evaluation result of whether the driver is suitable for driving the urban rail train according to the first score result, the second score result and the third score result.
It can be understood that in different application scenarios, the implementation manner of generating the target evaluation result of whether the driver is suitable for driving the urban rail train is different according to the first score result, the second score result and the third score result, and the exemplary description is as follows:
as an example, in the case where the first score result, the second score result, and the third score result are all greater than or equal to the respective corresponding score result thresholds, generating a target evaluation result that the driver is suitable to drive the urban rail train; and generating a target evaluation result which is not suitable for driving the urban rail train by the driver under the condition that the evaluation result which is smaller than the corresponding score result threshold value exists in the first score result, the second score result and the third score result.
It may be understood that the score result thresholds corresponding to the health assessment dimension, the mental health assessment dimension and the business ability assessment dimension may be the same or different, and the values corresponding to the score result thresholds may be set according to actual requirements, which is not limited in particular.
As another example, the first score result is weighted according to the weight corresponding to the health evaluation dimension to obtain a first weighted result; weighting the second score result according to the weight corresponding to the psychological health assessment dimension to obtain a second weighted result; weighting the third score result according to the weight corresponding to the business capability evaluation dimension to obtain a third weighted result; summing the first weighted result, the second weighted result and the third weighted result to obtain a summed result; generating a target evaluation result suitable for driving the urban rail train by the driver under the condition that the summation result is greater than or equal to a preset threshold value; and generating a target evaluation result which is not suitable for driving the urban rail train by the driver under the condition that the summation result is smaller than a preset threshold value.
The preset threshold is a value set according to actual requirements, for example, the summation result is 5 minutes, the corresponding preset threshold is 6, the summation result is less than the preset threshold through comparing the summation result with the preset threshold, and correspondingly, the target evaluation result that the driver is not suitable for driving the urban rail train can be generated.
According to the safe driving assessment method, physiological index data, a psychological health assessment result and a business capability test result of a driver of an urban rail train in a preset time period before a post are obtained, the physiological index data are input into a vital sign detection model to obtain a first score result of the driver in a health assessment dimension, the psychological health assessment result is input into the psychological health assessment model to obtain a second score result of the driver in the psychological health assessment dimension, the business capability test result is input into a capability assessment model to obtain a third score result of the driver in the business capability assessment dimension, and whether the driver is suitable for driving the urban rail train is generated according to the first score result, the second score result and the third score result. Therefore, the physiological index data, the psychological health assessment result and the business capability test result of the driver in the preset time period before the post are combined, objective assessment is intelligently performed on whether the driver is suitable for driving the urban rail train, and the assessment accuracy is improved.
Based on the embodiment, in the process of determining that the driver is suitable for driving the urban rail train based on the target evaluation result, the on-duty safety information is sent to the terminal equipment corresponding to the driver, so that the driver can conveniently acquire the on-duty safety information through the terminal equipment.
The terminal device may output the on-duty security information by displaying and/or voice, and the mode of outputting the on-duty security information by the terminal device is not specifically limited in this embodiment.
Based on the above embodiment, in the case that it is determined that the driver is not suitable for driving the urban rail train based on the target evaluation result, corresponding prompt information is sent to the terminal device corresponding to the driver, where the prompt information is used to prompt that the current situation of the driver is not suitable for driving the urban rail train.
Correspondingly, in the case that it is determined that the driver is not suitable for driving the urban rail train based on the target evaluation result, a new driver suitable for driving the urban rail train may also be allocated to the urban rail train to drive the urban rail train by the new driver.
In some exemplary embodiments, an alcohol test result of the driver before the post may also be obtained, the alcohol test result may be compared with a preset alcohol threshold, and if it is determined that the alcohol test result is less than or equal to the preset alcohol content threshold, a target evaluation result of whether the driver is suitable for driving the urban rail train may be generated according to the first score result, the second score result, and the third score result.
It can be understood that, in the case that the alcohol test result exceeds the preset alcohol content threshold value, the target evaluation result that the driver is not suitable for driving the urban rail train is directly generated.
Based on the above embodiment, in the process of driving the urban rail train by the driver, the driving behavior of the driver may be detected to determine whether the driver has abnormal driving behavior in driving the urban rail train, and in case of abnormal driving behavior, the driver may be timely reminded to further improve the safety of driving the urban rail train, so that the process may be clearly understood, and the safe driving evaluation method of this embodiment is described below with reference to fig. 2.
Fig. 2 is a flow chart of a safe driving assessment method according to another embodiment of the present application. The present embodiment is further refined or optimized for the above embodiment.
As shown in fig. 2, the safe driving evaluation method may include:
in step 201, image information acquired by a camera provided in a cab of a city rail train is acquired during a driver driving the city rail train.
Correspondingly, through the camera that sets up in the driver's cabin of urban rail train, carry out image acquisition to the image in the driver's cabin to obtain image information.
Step 202, according to the image information, detecting abnormal driving behaviors of the driver to obtain an abnormal driving behavior detection result of the driver.
In some exemplary embodiments, after the image information is acquired, the image information may be input into a pre-trained abnormal driving behavior detection model, and correspondingly, the abnormal driving behavior detection model performs abnormal driving behavior detection based on the image information to obtain an abnormal driving behavior detection result of the driver.
Step 203, sending first reminding information to a terminal device corresponding to the driver when the driver has abnormal behavior according to the abnormal driving behavior detection result, wherein the first reminding information is used for reminding the driver of the abnormal behavior.
Among them, abnormal behavior may include, but is not limited to, making a call, not visualizing the front for a long time, smoking behavior, etc.
In some exemplary embodiments, in the process of driving the urban rail train by the driver, the hand operation action of the driver is determined according to the image information, whether the hand operation action of the driver is consistent with the preset hand standard operation action or not is determined, if not, a difference action between the hand operation action of the driver and the preset hand standard operation action is determined, corresponding hand action correction prompt information is generated based on the difference action, and the hand action correction prompt information is sent to terminal equipment corresponding to the driver.
The terminal device in this example may be a mobile terminal device or a wearable device, and the embodiment is not particularly limited thereto.
In some exemplary embodiments, after knowing that the driver is suitable for driving the urban rail based on the target evaluation result, in order to intelligently remind the driver of departure, departure time information corresponding to the urban rail train may also be acquired; and sending second reminding information to terminal equipment corresponding to the driver under the condition that the time interval between the departure time information and the current time information is detected to be a preset time interval, wherein the second reminding information is used for reminding the remaining departure time of the urban rail train to be the preset time interval.
The preset time interval is a time interval preset according to actual requirements, for example, the preset time interval may be 15 minutes, 10 minutes, 5 minutes, etc., and in practical application, the value of the preset time interval may be preset according to actual application requirements, which is not limited in particular.
In some exemplary embodiments, in order to further improve driving safety during the driving of the urban rail train by the driver, in the case that the current speed of the urban rail train is detected to exceed the preset speed threshold, the driver may be further alerted to overspeed, and in order to clearly understand the process, the method of this embodiment is described below with reference to fig. 3.
Fig. 3 is a flow chart of a safe driving assessment method according to another embodiment of the present application.
As shown in fig. 3, the safe driving evaluation method may include:
step 301, obtaining the current speed of the urban rail train in the process of driving the urban rail train by a driver.
Step 302, sending third reminding information to the urban rail train under the condition that the current speed exceeds a preset speed threshold, wherein the third reminding information is used for reminding that the current speed exceeds the preset speed threshold.
In some exemplary embodiments, after the current speed of the urban rail train is obtained, the current speed may be compared with a preset speed threshold, and if it is determined that the current speed exceeds the preset speed threshold according to the result of the comparison, third reminding information may be sent to the urban rail train.
In some exemplary embodiments, in the case where the cab of the urban rail train has a display device, the third reminder information may be displayed by the display device and/or played by a voice playing device provided in the cab of the urban rail train.
In some exemplary embodiments, in order to further improve driving safety during driving of the urban rail train by the driver, in case that there is an obstacle in front of the driving of the urban rail train, obstacle reminding information is timely transmitted, and in order to make the process clearly understood, a method of this embodiment is further exemplarily described below with reference to fig. 4.
Fig. 4 is a flow chart of a safe driving assessment method according to another embodiment of the present application.
As shown in fig. 4, the safe driving evaluation method may include:
in step 401, in the process of driving the urban rail train by the driver, in the case that it is determined that an obstacle exists in front of the driving of the urban rail train, a distance between the urban rail train and the obstacle is acquired.
In some examples, in the event that it is determined that an obstacle exists in front of the ride of the urban rail train, first location information of the obstacle may be determined, and current second location information of the urban rail train may be determined according to the positioning device on the urban rail train, and a distance between the urban rail train and the obstacle may be acquired according to the first location information and the second location information.
The positioning device may be a device with a global positioning system (Global Positioning System, GPS) or a beidou satellite positioning function.
In some exemplary embodiments, one possible implementation of determining that there is an obstacle in front of driving of the urban rail train may be: the method comprises the steps of acquiring a camera arranged in front of a cab of the urban rail train, acquiring images of the situation in front of the urban rail train to obtain image information, and identifying obstacles according to the acquired image information to determine that the obstacles exist in front of the cab of the urban rail train.
In other exemplary embodiments, one possible implementation of determining that an obstacle exists in front of the ride of the urban rail train may be: the obstacle in front can be acquired by an external system.
In some examples, the external system may also send location information of the obstacle to the safe driving assessment device.
Step 402, sending fourth reminding information to terminal equipment corresponding to a driver when the distance reaches a preset distance threshold, wherein the fourth reminding information is used for reminding that an obstacle exists in front of driving of the urban rail train.
The terminal device may be a mobile terminal device or a wearable device, and the embodiment is not particularly limited thereto.
The terminal device can output the fourth reminding information in a voice and/or display mode.
In some exemplary embodiments, in order to further ensure that the driver can timely learn that an obstacle exists in front of driving, the terminal device disposed on the urban rail train may further send fourth reminding information, where the terminal device disposed on the urban rail train may output the fourth reminding information through voice and/or display.
In the example, in the process of driving the urban rail train by the driver, under the condition that the obstacle exists in front of the driver, the distance between the obstacle and the urban rail train is acquired, and under the condition that the distance reaches the preset distance threshold value, the driver driving the urban rail train is timely reminded in a mode of sending reminding information, so that the driver can conveniently timely control the urban rail train based on the reminding information, and the urban rail train is prevented from colliding with the obstacle.
In some exemplary embodiments, in the case that the state of the signal lamp in front of driving is a red light state, in order to enable a driver to timely learn that the state of the signal lamp in front of driving is the red light state, the driver can be timely reminded by sending reminding information, so that the driver can conveniently carry out emergency braking on the urban rail train based on the reminding information. In order that the process may be clearly understood, an exemplary description of the method of this embodiment is provided below in connection with fig. 5.
Fig. 5 is a flow chart of a safe driving assessment method according to another embodiment of the present application. The present embodiment is further refined or optimized for any one of the above embodiments.
As shown in fig. 5, the method may further include:
step 501, in the process of driving the urban rail train by the driver, acquiring signal lamp image information obtained by acquiring images of signal lamps in front of the driving by a camera arranged in front of a cab of the urban rail train.
Step 502, returning fifth reminding information to terminal equipment arranged in a cab of the urban rail train under the condition that the signal lamp is determined to be in a red lamp state according to the signal lamp image information, wherein the fifth reminding information is used for reminding that the signal lamp is in the red lamp state.
In some exemplary embodiments, after the signal light image is acquired, a signal light area where the signal light is located in the signal light image information can be determined, color information in the signal light area is determined, whether the color information is red or not is determined, if the color information is red, the signal light is determined to be in a red light state, and at this time, in order to enable a driver in a cab to acquire that the signal light in front is in the red light state in time, fifth reminding information is returned to terminal equipment arranged in the cab of the urban rail train.
The terminal equipment arranged in the cab of the urban rail train can output fifth reminding information in a mode of displaying and/or voice, so that a driver in the cab is timely reminded of the fifth reminding information, and the front signal lamp is in a red light state, so that the driver can timely control the urban rail train based on the state of the front signal lamp.
In some exemplary embodiments, in the process of driving the urban rail train by the driver, under the condition that the urban rail train fails, the fault description information uploaded by the terminal device is received, corresponding fault restoration strategy information is determined based on the fault description information, and the fault restoration strategy information is returned to the terminal device, so that the driver can acquire a restoration strategy corresponding to the fault in time, and further, the driver can restore the fault on the urban rail train in time based on the fault restoration strategy information.
The fault description information can comprise information such as a fault description image and/or fault description text.
In some exemplary embodiments, during the driving of the urban rail train by the driver, some emergency events may occur, so that the driver may learn the processing manner of the emergency events in time, and correspondingly, receive an emergency event processing request uploaded by a terminal device (for example, the terminal device may be a wearable device corresponding to the driver, or a terminal device located on a cab of the urban rail train), where the emergency event processing request includes an emergency event type, and correspondingly, may acquire processing manner information corresponding to the emergency event type, and return the processing manner information to the terminal device.
The emergency event types may include, but are not limited to, door lifters, false door opening, lost signal parking events, and the like, and may also include other types, and the embodiment is not particularly limited thereto.
In correspondence with the safe driving evaluation methods provided in the above-described several embodiments, an embodiment of the present application further provides a safe driving evaluation device, and since the safe driving evaluation device provided in the embodiment of the present application corresponds to the safe driving evaluation method provided in the above-described several embodiments, implementation of the safe driving evaluation method is also applicable to the safe driving evaluation device provided in the embodiment, and will not be described in detail in the embodiment.
Fig. 6 is a schematic structural view of a safe driving evaluation apparatus according to an embodiment of the present application.
As shown in fig. 6, the safe driving evaluation apparatus 600 may include a first acquisition module 601, a first determination module 602, a second determination module 603, a third determination module 604, and a generation module 605, wherein:
the first obtaining module 601 is configured to obtain physical index data, a mental health evaluation result, and a business capability test result in a preset time period before a driver of the urban rail train is on duty.
The first determining module 602 is configured to input the physiological index data into the vital sign detection model to obtain a first score result of the driver in the health assessment dimension.
A second determining module 603 is configured to input the mental health test result into the mental health assessment model to obtain a second score result of the driver in the dimension of mental health assessment.
A third determining module 604, configured to input the business capability test result into the capability assessment model, so as to obtain a third score result of the driver in the dimension of business capability assessment.
The generating module 605 is configured to generate a target evaluation result whether the driver is suitable for driving the urban rail train according to the first score result, the second score result and the third score result.
In one embodiment of the present application, the generating module 605 is specifically configured to: generating a target evaluation result suitable for driving the urban rail train by the driver under the condition that the first score result, the second score result and the third score result are all larger than or equal to the respective score result threshold value; and generating a target evaluation result which is not suitable for driving the urban rail train by the driver under the condition that the evaluation result which is smaller than the corresponding score result threshold value exists in the first score result, the second score result and the third score result.
In one embodiment of the present application, the generating module 605 is specifically configured to: weighting the first score result according to the weight corresponding to the health evaluation dimension to obtain a first weighted result; weighting the second score result according to the weight corresponding to the psychological health assessment dimension to obtain a second weighted result; weighting the third score result according to the weight corresponding to the business capability evaluation dimension to obtain a third weighted result; summing the first weighted result, the second weighted result and the third weighted result to obtain a summed result; generating a target evaluation result suitable for driving the urban rail train by the driver under the condition that the summation result is greater than or equal to a preset threshold value; and generating a target evaluation result which is not suitable for driving the urban rail train by the driver under the condition that the summation result is smaller than a preset threshold value.
In one embodiment of the present application, the apparatus may further include:
the second acquisition module is used for acquiring image information acquired by a camera arranged in a cab of the urban rail train in the process of driving the urban rail train by a driver;
the abnormal driving behavior detection module is used for detecting abnormal driving behaviors of the driver according to the image information so as to obtain an abnormal driving behavior detection result of the driver;
The first sending module is used for sending first reminding information to terminal equipment corresponding to the driver when the driver is determined to have abnormal behaviors according to the abnormal driving behavior detection result, wherein the first reminding information is used for reminding the driver of the abnormal behaviors.
In one embodiment of the present application, the apparatus may further include:
the third acquisition module is used for acquiring departure time information corresponding to the urban rail train under the condition that the driver is determined to be suitable for driving the urban rail train based on the target evaluation result;
the second sending module is used for sending second reminding information to the terminal equipment corresponding to the driver under the condition that the time interval between the departure time information and the current time information is detected to be a preset time interval, wherein the second reminding information is used for reminding the remaining departure time of the urban rail train to be the preset time interval.
In one embodiment of the present application, the apparatus may further include:
the fourth acquisition module is used for acquiring the current speed of the urban rail train in the process of driving the urban rail train by the driver;
the third sending module is used for sending third reminding information to the urban rail train under the condition that the current speed exceeds a preset speed threshold, wherein the third reminding information is used for reminding that the current speed exceeds the preset speed threshold.
In one embodiment of the present application, the apparatus may further include:
a fifth obtaining module, configured to obtain a distance between the urban rail train and the obstacle when it is determined that the obstacle exists in front of the driving of the urban rail train during the driving of the urban rail train by the driver;
and the fourth sending module is used for sending fourth reminding information to terminal equipment corresponding to the driver under the condition that the distance reaches a preset distance threshold value, wherein the fourth reminding information is used for reminding the driver of the existence of an obstacle in front of the urban rail train.
In one embodiment of the present application, the apparatus may further include:
the sixth acquisition module is used for acquiring signal lamp image information obtained by image acquisition of a signal lamp arranged in front of a cab of the urban rail train by a camera arranged in front of the cab of the urban rail train in the process of driving the urban rail train by a driver;
and the fifth sending module is used for returning fifth reminding information to terminal equipment positioned on the urban rail train under the condition that the signal lamp is in a red lamp state according to the signal lamp image information, wherein the fifth reminding information is used for reminding that the signal lamp is in the red lamp state.
According to the safe driving assessment device, physiological index data, a psychological health assessment result and a business capability test result of a driver of an urban rail train in a preset time period before a post are obtained, the physiological index data are input into a vital sign detection model to obtain a first score result of the driver in a health assessment dimension, the psychological health assessment result is input into the psychological health assessment model to obtain a second score result of the driver in the psychological health assessment dimension, the business capability test result is input into a capability assessment model to obtain a third score result of the driver in the business capability assessment dimension, and whether the driver is suitable for driving the urban rail train is generated according to the first score result, the second score result and the third score result. Therefore, the physiological index data, the psychological health assessment result and the business capability test result of the driver in the preset time period before the post are combined, objective assessment is intelligently performed on whether the driver is suitable for driving the urban rail train, and the assessment accuracy is improved.
According to an embodiment of the application, the application further provides electronic equipment.
Wherein, electronic equipment includes:
a processor;
a memory for storing processor-executable instructions;
wherein the processor is configured to execute instructions to implement a safe driving assessment method as set forth in any of the foregoing embodiments.
As an example, fig. 7 is a schematic structural diagram of an electronic device 700 according to an exemplary embodiment of the present application, where, as shown in fig. 7, the electronic device 700 may further include:
the system comprises a memory 710 and a processor 720, a bus 730 connecting different components (including the memory 710 and the processor 720), wherein the memory 710 stores a computer program, and the processor 720 executes the program to implement the safe driving assessment method of the embodiment of the present application.
Bus 730 represents one or more of several types of bus structures, including a memory bus or memory controller, a peripheral bus, an accelerated graphics port, a processor, or a local bus using any of a variety of bus architectures. By way of example, and not limitation, such architectures include Industry Standard Architecture (ISA) bus, micro channel architecture (MAC) bus, enhanced ISA bus, video Electronics Standards Association (VESA) local bus, and Peripheral Component Interconnect (PCI) bus.
Electronic device 700 typically includes a variety of electronic device readable media. Such media can be any available media that is accessible by electronic device 700 and includes both volatile and nonvolatile media, removable and non-removable media.
Memory 710 may also include computer system readable media in the form of volatile memory, such as Random Access Memory (RAM) 740 and/or cache memory 750. Server 700 may further include other removable/non-removable, volatile/nonvolatile computer system storage media. By way of example only, storage system 760 may be used to read from or write to non-removable, non-volatile magnetic media (not shown in FIG. 7, commonly referred to as a "hard disk drive"). Although not shown in fig. 7, a magnetic disk drive for reading from and writing to a removable non-volatile magnetic disk (e.g., a "floppy disk"), and an optical disk drive for reading from or writing to a removable non-volatile optical disk (e.g., a CD-ROM, DVD-ROM, or other optical media) may be provided. In such cases, each drive may be coupled to bus 730 through one or more data medium interfaces. Memory 710 may include at least one program product having a set (e.g., at least one) of program modules configured to carry out the functions of the embodiments of the present application.
A program/utility 780 having a set (at least one) of program modules 770 may be stored in, for example, memory 710, such program modules 770 including, but not limited to, an operating system, one or more application programs, other program modules, and program data, each or some combination of which may include an implementation of a network environment. Program modules 770 typically carry out the functions and/or methods of the embodiments described herein.
The electronic device 700 may also communicate with one or more external devices 790 (e.g., keyboard, pointing device, display 791, etc.), one or more devices that enable a user to interact with the electronic device 700, and/or any device (e.g., network card, modem, etc.) that enables the electronic device 700 to communicate with one or more other computing devices. Such communication may occur through an input/output (I/O) interface 792. Also, the electronic device 700 may communicate with one or more networks such as a Local Area Network (LAN), a Wide Area Network (WAN) and/or a public network, such as the Internet, through a network adapter 793. As shown, the network adapter 793 communicates with other modules of the electronic device 700 over the bus 730. It should be appreciated that although not shown, other hardware and/or software modules may be used in connection with electronic device 700, including, but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, data backup storage systems, and the like.
The processor 720 executes various functional applications and data processing by running programs stored in the memory 710.
It should be noted that, the implementation process and the technical principle of the electronic device in this embodiment refer to the foregoing explanation of the safe driving evaluation method in this embodiment, and are not repeated herein.
In an exemplary embodiment, a computer readable storage medium is also provided, e.g. a memory, comprising instructions executable by a processor of an electronic device to perform the safe driving assessment method proposed by any of the embodiments described above. Alternatively, the computer readable storage medium may be ROM, random Access Memory (RAM), CD-ROM, magnetic tape, floppy disk, optical data storage device, etc.
In an exemplary embodiment, a computer program product is also provided, comprising a computer program/instruction, characterized in that the computer program/instruction, when executed by a processor, implements the safe driving assessment method proposed by any of the above embodiments.
Other embodiments of the present application will be apparent to those skilled in the art from consideration of the specification and practice of the invention disclosed herein. This application is intended to cover any variations, uses, or adaptations of the application following, in general, the principles of the application and including such departures from the present disclosure as come within known or customary practice within the art to which the application pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the application being indicated by the following claims.
It is to be understood that the present application is not limited to the precise arrangements and instrumentalities shown in the drawings, which have been described above, and that various modifications and changes may be effected without departing from the scope thereof. The scope of the application is limited only by the appended claims.
Claims (18)
1. A safe driving assessment method, the method comprising:
acquiring physiological index data, a psychological health evaluation result and a business capability test result of a driver of the urban rail train in a preset time period before the post;
inputting the physiological index data into a vital sign detection model to obtain a first score result of the driver in a health assessment dimension;
inputting the psychological health assessment result into a psychological health assessment model to obtain a second grading result of the driver in a psychological health assessment dimension;
inputting the business capability test result into a capability assessment model to obtain a third score result of the driver in a business capability assessment dimension;
and generating a target evaluation result of whether the driver is suitable for driving the urban rail train according to the first score result, the second score result and the third score result.
2. The method of claim 1, wherein the generating a target assessment result of whether the driver is suitable to drive the urban rail train based on the first score result, the second score result, and the third score result comprises:
generating a target evaluation result suitable for driving the urban rail train by the driver under the condition that the first score result, the second score result and the third score result are all larger than or equal to the respective corresponding score result threshold value;
and generating a target evaluation result which is not suitable for driving the urban rail train by the driver when the evaluation result which is smaller than the corresponding score result threshold value exists in the first score result, the second score result and the third score result.
3. The method of claim 1, wherein the generating a target assessment result of whether the driver is suitable to drive the urban rail train based on the first score result, the second score result, and the third score result comprises:
weighting the first score result according to the weight corresponding to the health evaluation dimension to obtain a first weighted result;
Weighting the second score result according to the weight corresponding to the mental health evaluation dimension to obtain a second weighted result;
weighting the third score result according to the weight corresponding to the business capability evaluation dimension to obtain a third weighted result;
summing the first weighted result, the second weighted result and the third weighted result to obtain a summed result;
generating a target evaluation result that the driver is suitable for driving the urban rail train under the condition that the summation result is greater than or equal to a preset threshold value;
and generating a target evaluation result that the driver is not suitable for driving the urban rail train under the condition that the summation result is smaller than a preset threshold value.
4. A method according to any one of claims 2-3, wherein the method further comprises:
acquiring image information acquired by a camera arranged in a cab of the urban rail train in the process of driving the urban rail train by the driver;
detecting abnormal driving behaviors of the driver according to the image information to obtain an abnormal driving behavior detection result of the driver;
And under the condition that the abnormal behavior of the driver is determined according to the abnormal driving behavior detection result, sending first reminding information to terminal equipment corresponding to the driver, wherein the first reminding information is used for reminding the driver of the abnormal behavior.
5. A method according to any one of claims 2-3, wherein the method further comprises:
acquiring departure time information corresponding to the urban rail train under the condition that the driver is determined to be suitable for driving the urban rail train based on the target evaluation result;
and sending second reminding information to terminal equipment corresponding to the driver under the condition that the time interval between the departure time information and the current time information is detected to be a preset time interval, wherein the second reminding information is used for reminding the remaining departure time of the urban rail train to be the preset time interval.
6. A method according to any one of claims 2-3, wherein the method further comprises:
acquiring the current speed of the urban rail train in the process that the driver drives the urban rail train;
and sending third reminding information to the urban rail train under the condition that the current speed exceeds a preset speed threshold, wherein the third reminding information is used for reminding that the current speed exceeds the preset speed threshold.
7. A method according to any one of claims 2-3, wherein the method further comprises:
acquiring a distance between the urban rail train and an obstacle in the case that the obstacle exists in front of the driving of the urban rail train in the process of driving the urban rail train by the driver;
and sending fourth reminding information to terminal equipment corresponding to the driver when the distance reaches a preset distance threshold, wherein the fourth reminding information is used for prompting that an obstacle exists in front of driving of the urban rail train.
8. A method according to any one of claims 2-3, wherein the method further comprises:
acquiring signal lamp image information obtained by image acquisition of a signal lamp arranged in front of a cab of the urban rail train by a camera arranged in front of the cab of the urban rail train in the process of driving the urban rail train by the driver;
and under the condition that the signal lamp is in a red lamp state according to the signal lamp image information, returning fifth reminding information to terminal equipment arranged in a cab of the urban rail train, wherein the fifth reminding information is used for reminding that the signal lamp is in a red lamp state.
9. A safe driving evaluation device, characterized in that the device comprises:
the first acquisition module is used for acquiring physiological index data, a psychological health evaluation result and a business capability test result of a driver of the urban rail train in a preset time period before the post;
the first determining module is used for inputting the physiological index data into a vital sign detection model so as to obtain a first score result of the driver in a health evaluation dimension;
the second determining module is used for inputting the psychological health assessment result into a psychological health assessment model so as to obtain a second grading result of the driver in the psychological health assessment dimension;
the third determining module is used for inputting the service capability test result into a capability assessment model so as to obtain a third score result of the driver in a service capability assessment dimension;
and the generation module is used for generating a target evaluation result of whether the driver is suitable for driving the urban rail train according to the first score result, the second score result and the third score result.
10. The apparatus of claim 9, wherein the generating module is specifically configured to:
Generating a target evaluation result suitable for driving the urban rail train by the driver under the condition that the first score result, the second score result and the third score result are all larger than or equal to the respective corresponding score result threshold value;
and generating a target evaluation result which is not suitable for driving the urban rail train by the driver when the evaluation result which is smaller than the corresponding score result threshold value exists in the first score result, the second score result and the third score result.
11. The apparatus of claim 9, wherein the generating module is specifically configured to:
weighting the first score result according to the weight corresponding to the health evaluation dimension to obtain a first weighted result;
weighting the second score result according to the weight corresponding to the mental health evaluation dimension to obtain a second weighted result;
weighting the third score result according to the weight corresponding to the business capability evaluation dimension to obtain a third weighted result;
summing the first weighted result, the second weighted result and the third weighted result to obtain a summed result;
Generating a target evaluation result that the driver is suitable for driving the urban rail train under the condition that the summation result is greater than or equal to a preset threshold value;
and generating a target evaluation result that the driver is not suitable for driving the urban rail train under the condition that the summation result is smaller than a preset threshold value.
12. The apparatus according to any one of claims 10-11, wherein the apparatus further comprises:
the second acquisition module is used for acquiring image information acquired by a camera arranged in a cab of the urban rail train in the process of driving the urban rail train by the driver;
the abnormal driving behavior detection module is used for detecting the abnormal driving behavior of the driver according to the image information so as to obtain an abnormal driving behavior detection result of the driver;
the first sending module is used for sending first reminding information to terminal equipment corresponding to the driver when the abnormal behavior of the driver is determined according to the abnormal driving behavior detection result, wherein the first reminding information is used for reminding the driver of the abnormal behavior.
13. The apparatus according to any one of claims 10-11, wherein the apparatus further comprises:
The third acquisition module is used for acquiring departure time information corresponding to the urban rail train under the condition that the driver is determined to be suitable for driving the urban rail train based on the target evaluation result;
the second sending module is used for sending second reminding information to the terminal equipment corresponding to the driver when the time interval between the departure time information and the current time information is detected to be a preset time interval, wherein the second reminding information is used for reminding the remaining departure time of the urban rail train to be the preset time interval.
14. The apparatus according to any one of claims 10-11, wherein the apparatus further comprises:
the fourth acquisition module is used for acquiring the current speed of the urban rail train in the process that the driver drives the urban rail train;
the third sending module is used for sending third reminding information to the urban rail train under the condition that the current speed exceeds a preset speed threshold, wherein the third reminding information is used for reminding that the current speed exceeds the preset speed threshold.
15. The apparatus according to any one of claims 10-11, wherein the apparatus further comprises:
A fifth acquisition module for acquiring a distance between the urban rail train and an obstacle in the case of determining that the obstacle exists in front of the driving of the urban rail train in the process of driving the urban rail train by the driver;
and the fourth sending module is used for sending fourth reminding information to terminal equipment corresponding to the driver under the condition that the distance reaches a preset distance threshold value, wherein the fourth reminding information is used for reminding that an obstacle exists in front of driving of the urban rail train.
16. The apparatus according to any one of claims 10-11, wherein the apparatus further comprises:
the sixth acquisition module is used for acquiring signal lamp image information obtained by image acquisition of a signal lamp arranged in front of a cab of the urban rail train by a camera arranged in front of the cab of the urban rail train in the process of driving the urban rail train by the driver;
and the fifth sending module is used for returning fifth reminding information to the terminal equipment positioned on the urban rail train under the condition that the signal lamp is in a red lamp state according to the signal lamp image information, wherein the fifth reminding information is used for reminding that the signal lamp is in the red lamp state.
17. An electronic device, comprising:
memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor implements the method according to any of claims 1-8 when executing the computer program.
18. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the method according to any of claims 1-8.
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