CN111445146A - Order monitoring method and device - Google Patents
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Abstract
The specification discloses an order monitoring method and device, an obtained travel order is distributed to a driver with a monitoring authority as an order receiving driver, wherein the monitoring authority is the authority for acquiring and uploading videos by using a driver terminal in the process of executing the travel order, a monitoring request can be generated, the travel order and the monitoring request are sent to the terminal, the video acquired and uploaded by the terminal in real time in the process of executing the travel order by the order receiving driver is received by the terminal, according to the received videos, if the fact that the order receiving driver is abnormal in the process of executing the travel order is monitored, the type of the abnormal is determined, and the abnormality is processed through the terminal according to a preset processing mode corresponding to the type. According to the video monitoring system, a driver is not required to install video acquisition equipment, whether an order receiving driver is abnormal or not is monitored in real time, and the abnormality is timely processed through the terminal when the abnormality occurs, so that the safety of the user in going out is improved.
Description
Technical Field
The present disclosure relates to the field of traffic communication technologies, and in particular, to a method and an apparatus for order monitoring.
Background
With the continuous development of science and technology, the use of taxi taking software for taxi taking gradually becomes one of the mainstream modes of users for trip, and the safety of the users for trip also gradually becomes the focus of public attention.
At present, a driver can install a video acquisition device (such as a driving recorder, a monitoring camera and the like) on a vehicle for self-fee, when a travel order is executed, the video acquisition device is started to record a video, and after the order is finished, the recorded video is uploaded to a travel service platform through taxi taking software, so that the travel service platform can obtain evidence of abnormal conditions appearing in the order after the order is finished.
However, the trip service platform does not force the driver to install the video capture device, and the installation cost of the video capture device is high, so that the situation that the popularization rate of the video capture device in the vehicle is low occurs, and the evidence of abnormal situations in the order is not easily obtained. In addition, the videos uploaded to the travel service platform after the orders are finished can only be used for obtaining evidence after the abnormal conditions. When an abnormal condition occurs, the mode cannot be processed in time, and particularly when the passenger is a special crowd (such as a person in a drunk state, a minor, an old person, a woman and the like), the probability of unsafe behaviors occurring between the driver and the passenger is very high, and the safety of the user in going out is very low.
Disclosure of Invention
The embodiment of the present specification provides an order monitoring method and an order monitoring device, so as to partially solve the above problems in the prior art.
The embodiment of the specification adopts the following technical scheme:
the present specification provides a method for order monitoring, which includes:
acquiring a travel order;
determining a driver executing the travel order as an order taking driver among all drivers with monitoring authority, wherein the monitoring authority is as follows: in the process of executing the travel order, acquiring and uploading the permission of the video by using a terminal of a driver;
generating a monitoring request, and sending the travel order and the monitoring request to the terminal, wherein the monitoring request is used for enabling the terminal to collect and upload videos;
receiving a video which is acquired and uploaded in real time by the terminal in the process that the order taking driver executes the travel order;
monitoring whether the order taking driver is abnormal or not in the process of executing the travel order according to the received video;
if so, determining the type of the abnormal condition, and processing the abnormal condition through the terminal according to a preset processing mode corresponding to the type.
Optionally, monitoring whether an abnormality occurs in the process of executing the travel order by the order taking driver according to the received video specifically includes:
acquiring the receiving time of the images in the video, and monitoring whether the order taking driver is abnormal or not in the process of executing the travel order according to the receiving time interval of two adjacent frames of images; and/or the presence of a gas in the gas,
and detecting image content in the video, and monitoring whether the order taking driver is abnormal or not in the process of executing the travel order according to the image content.
Optionally, monitoring whether the order taking driver is abnormal in the process of executing the travel order according to the receiving time interval of two adjacent frames of images, specifically including:
judging whether the receiving time interval is larger than a preset receiving time interval threshold value or not;
if so, determining that the order taking driver is abnormal in the process of executing the travel order;
and if not, determining that the order taking driver is not abnormal in the process of executing the travel order.
Optionally, when the receiving time interval is greater than a preset receiving time interval threshold, determining that the type of the occurring abnormality is a video interruption type;
according to a preset processing mode corresponding to the type, the exception is processed through the terminal, and the method specifically comprises the following steps:
generating a monitoring restoring request and sending the monitoring restoring request to the terminal;
if a response of the monitoring recovering request returned by the terminal is received, continuously receiving a video which is acquired and uploaded by the order taking driver in real time through the terminal;
if the response of the monitoring recovering request returned by the terminal is not received, predicting whether a risk event occurs to the order taking driver in the process of executing the travel order according to the received video, if the risk event is predicted to occur, performing early warning processing on the risk event, and otherwise, regenerating the monitoring recovering request until a specified condition is met.
Optionally, predicting whether a risk event occurs in the process of executing the travel order by the order taking driver according to the received video specifically includes:
acquiring a planned path corresponding to the travel order and a position uploaded by the terminal in real time in the process of executing the travel order by the order taking driver;
determining an actual path of the order taking driver in the process of executing the travel order according to the acquired real-time uploaded position;
judging whether the actual path deviates from the planned path or not according to the planned path and the actual path;
if the order taking driver deviates, determining that the risk event occurs in the process of executing the travel order by the order taking driver;
and if the order is not deviated, determining that the order taking driver does not have the risk event in the process of executing the travel order.
Optionally, predicting whether a risk event occurs in the process of executing the travel order by the order taking driver according to the received video specifically includes:
acquiring audio data in the received video;
according to pre-stored risk event audio data, determining the similarity between the audio data in the video and the pre-stored risk event audio data;
judging whether the similarity is greater than a preset similarity threshold value or not;
if so, determining that the risk event occurs to the order taking driver in the process of executing the travel order;
and if not, determining that the order taking driver does not have the risk event in the process of executing the travel order.
Optionally, the regenerating the monitoring restoration request until a specified condition is met specifically includes:
obtaining the passenger type of the travel order;
determining the times of generating the monitoring restoration request corresponding to the travel order as the designated times according to the corresponding relationship between the preset types of the passengers and the times of generating the monitoring restoration request;
judging whether the number of times of generating the monitoring restoring request is greater than the specified number of times;
if the judgment result is yes, determining that the specified condition is met;
otherwise, determining that the specified condition is not satisfied.
Optionally, detecting image content in the video, and monitoring whether the order taking driver is abnormal or not in the process of executing the travel order according to the image content, specifically including:
according to the image content, recognizing the behavior of the order taking driver;
judging whether the recognized behavior of the order taking driver is matched with the pre-stored abnormal behavior or not;
if the order is matched with the travel order, determining that the order taking driver is abnormal in the process of executing the travel order;
and if not, determining that the order taking driver has no abnormality in the process of executing the travel order.
Optionally, when the behavior of the order taking driver is matched with a pre-stored abnormal behavior, determining the type of the occurred abnormality as an abnormal behavior type;
according to a preset processing mode corresponding to the type, the exception is processed through the terminal, and the method specifically comprises the following steps:
and sending an alarm message to the terminal.
Optionally, after the travel order is completed, the method further includes:
receiving videos which are collected and uploaded by the terminal in real time and have specified duration;
monitoring whether the order taking driver is abnormal after finishing the travel order or not according to the received video with the specified duration;
and if so, determining the type of the abnormal condition, and processing the abnormal condition through the terminal according to a preset processing mode corresponding to the type.
Optionally, the method further comprises:
and sending the address of the received video to the contact according to the information of the contact set by the passenger in the travel order.
The present specification provides an apparatus for order monitoring, the apparatus comprising:
the obtaining module is used for obtaining a travel order;
the determining module is used for determining a driver executing the travel order as an order taking driver in all drivers with monitoring authority, and the monitoring authority is as follows: in the process of executing the travel order, acquiring and uploading the permission of the video by using a terminal of a driver;
the generating module is used for generating a monitoring request and sending the travel order and the monitoring request to the terminal, wherein the monitoring request is used for enabling the terminal to collect and upload videos;
the first receiving module is used for receiving a video which is acquired and uploaded by the terminal in real time in the process that the order taking driver executes the travel order;
the monitoring module is used for monitoring whether the order taking driver is abnormal or not in the process of executing the travel order according to the received video;
and the processing module is used for determining the type of the abnormal condition when the monitoring result of the monitoring module is abnormal, and processing the abnormal condition through the terminal according to a preset processing mode corresponding to the type.
The present specification provides a computer-readable storage medium, which stores a computer program, and the computer program, when executed by a processor, implements the above-mentioned order monitoring method.
The electronic device provided by the present specification includes a memory, a processor, and a computer program stored on the memory and executable on the processor, and when the processor executes the program, the method for order monitoring is implemented.
The embodiment of the specification adopts at least one technical scheme which can achieve the following beneficial effects:
compared with the prior art, the method has the advantages that the driver does not need to install the video acquisition equipment, the driver terminal can acquire and upload the video, and the problem that in the prior art, due to the fact that the video acquisition equipment is low in popularization rate in a vehicle, the abnormal condition in the order is difficult to obtain evidence is solved. After the order taking driver is determined, a monitoring request can be generated, and the travel order and the monitoring request are sent to the terminal, wherein the monitoring request is used for enabling the terminal to collect and upload videos, the videos collected and uploaded by the terminal in real time in the process that the order taking driver executes the travel order can be received, whether the order taking driver is abnormal in the process of executing the travel order is monitored according to the received videos, if yes, the type of the abnormal is determined, and the abnormal is processed through the terminal according to a preset processing mode corresponding to the type. Compared with the prior art, the instruction book can monitor whether the order taking driver is abnormal or not in the process of executing the travel order in real time, and the abnormality is timely processed through the terminal when the abnormality occurs, so that the problem that the abnormality cannot be timely processed when the abnormality occurs in the prior art is solved, and the travel safety of a user is improved.
Drawings
The accompanying drawings, which are included to provide a further understanding of the specification and are incorporated in and constitute a part of this specification, illustrate embodiments of the specification and together with the description serve to explain the specification and not to limit the specification in a non-limiting sense. In the drawings:
FIG. 1 is a flow chart of a method for order monitoring provided by an embodiment of the present disclosure;
FIG. 2 is a schematic interaction diagram of a method for order monitoring according to an embodiment of the present disclosure;
fig. 3 is a flowchart of a processing method corresponding to a video interrupt type provided in this specification;
fig. 4 is a schematic structural diagram of an order monitoring apparatus provided in an embodiment of the present disclosure;
fig. 5 is a schematic diagram of an electronic device corresponding to fig. 1 provided in an embodiment of the present disclosure.
Detailed Description
In order to make the objects, technical solutions and advantages of the present disclosure more clear, the technical solutions of the present disclosure will be clearly and completely described below with reference to the specific embodiments of the present disclosure and the accompanying drawings. It is to be understood that the embodiments described are only a few embodiments of the present disclosure, and not all embodiments. All other embodiments obtained by a person of ordinary skill in the art based on the embodiments in the present specification without any creative effort belong to the protection scope of the present specification.
The technical solutions provided by the embodiments of the present description are described in detail below with reference to the accompanying drawings.
Fig. 1 is a flowchart of an order monitoring method provided in an embodiment of the present disclosure, which may specifically include the following steps:
s100: and acquiring a travel order.
In this specification, when a user himself or herself needs to make a car or make a car in place of another person, the user may use the car-making software to generate a travel order, and send the travel order to the travel service platform through the user's terminal. The terminal is an intelligent electronic device with a video recording function, and can comprise a mobile phone, a tablet computer and the like. The travel service platform can obtain a travel order sent by the terminal of the user.
Fig. 2 is an interaction diagram of a method for order monitoring according to an embodiment of the present disclosure. In fig. 2, when the user travels using the taxi-taking software, boarding point information, destination information, passenger types, and the like, may be input on the taxi-taking software, wherein the passenger types may include drunk persons, minors, elderly persons, women, and the like. After the user determines the passenger type, the terminal of the user may display a reminding message, wherein the reminding message is a message for reminding the user to request that the driver's terminal is used for collecting and uploading videos in the process of executing the travel order. The user can select the contents of the videos which are required to be collected and uploaded by the driver terminal in the process of executing the travel orders by the driver on taxi-taking software according to the reminding message displayed by the user terminal. In addition, the user can also add contact information of the passenger in the travel order, wherein the contact can be the user, a person closely related to the passenger, and the like, and the contact information can include the telephone number of the contact, the taxi-taking software account, and the like. The terminal of the user can send the travel order to the travel service platform so that the travel service platform can obtain the travel order.
S102: determining a driver executing the travel order as an order taking driver among all drivers with monitoring authority, wherein the monitoring authority is as follows: and in the process of executing the travel order, acquiring and uploading the permission of the video by using a driver terminal.
After obtaining the travel order, the travel service platform may determine the driver executing the travel order as the order taker. Firstly, according to the requirements carried by the travel order, the terminal of the driver is used for collecting and uploading the video information in the process of executing the travel order, and each driver with the monitoring authority is determined, wherein the monitoring authority is the authority for collecting and uploading the video by using the terminal of the driver in the process of executing the travel order. Then, according to the information of the boarding point, the information of the destination, and the like in the travel order, a driver who executes the travel order is selected as an order taking driver from the drivers having the monitoring authority. Specifically, each driver with monitoring authority can be scored according to the order taking rate, the service quality and the like of the driver, and the order taking driver is selected according to the score. Alternatively, the driver closest to the driver position may be selected as the order taking driver according to the driver position.
The order taking driver can use taxi taking software through the order taking driver terminal, and acquiesces to select to collect and upload videos through the driver terminal in the process of executing the travel orders.
S104: and generating a monitoring request, and sending the travel order and the monitoring request to the terminal, wherein the monitoring request is used for enabling the terminal to collect and upload videos.
After determining the order taker, the travel service platform may send the travel order to the order taker's terminal to facilitate the order taker in executing the travel order.
Meanwhile, the travel service platform can generate a monitoring request and send the monitoring request to a terminal of the order taking driver, wherein the monitoring request is used for enabling the terminal of the order taking driver to collect and upload videos in real time. Specifically, the travel service platform acquires and uploads video information by using a driver terminal in the process of executing the travel order according to the requirements carried by the travel order, generates a monitoring request, and sends the generated monitoring request to the order receiving driver terminal, so that the order receiving driver terminal acquires and uploads videos in real time according to the received monitoring request.
When a passenger gets on the bus, the order taking driver can click a button for the passenger to get on the bus on the interface of the bus taking software, the information of the passenger to get on the bus is sent to the trip service platform through the terminal of the order taking driver, meanwhile, according to a monitoring request received by the terminal of the order taking driver, videos are collected in real time through an image sensor, a sound sensor and the like installed on the terminal of the order taking driver, and the videos collected in real time are uploaded to the trip service platform.
In addition, the terminal of the order receiving driver can actively acquire and upload videos in real time, and a travel service platform is not required to generate a monitoring request. Specifically, the travel service platform can send the travel order to a terminal of the order taking driver, and the order taking driver arrives at the boarding point according to the information of the travel order received by the terminal of the order taking driver. After the passengers get on the bus, the order taking driver sends the information of the passengers getting on the bus through the terminal of the order taking driver, and meanwhile, the terminal of the order taking driver actively collects and uploads videos in real time.
S106: and receiving a video which is acquired and uploaded in real time by the terminal in the process that the order taking driver executes the travel order.
In the process of executing the travel order by the order taking driver, the terminal of the order taking driver can collect and upload videos in real time, and the travel service platform can receive the videos in real time. After receiving the video, the travel service platform can send the address of the received video to the contact according to the information of the contact set by the passenger in the travel order.
Specifically, when the trip service platform receives the video, the address of the received video can be sent to the contact person in a short message mode according to the telephone number of the contact person, and the address of the video can be sent to taxi software of the contact person according to account information of the taxi software of the contact person, so that the contact person can view the video in real time through the address of the video.
S108: and monitoring whether the order taking driver is abnormal in the process of executing the travel order according to the received video, if so, executing the step S110, otherwise, returning to execute the step S106.
S110: and determining the type of the abnormal condition, and processing the abnormal condition through the terminal according to a preset processing mode corresponding to the type.
After the videos are received, the travel service platform can monitor whether the order taking driver is abnormal or not in the process of executing the travel order according to the received videos.
Specifically, the travel service platform can acquire the receiving time of the images in the video, and monitor whether the order taking driver is abnormal in the process of executing the travel order according to the receiving time interval of two adjacent frames of images; and/or detecting image content in a video, and monitoring whether the order taking driver is abnormal or not in the process of executing the travel order according to the image content.
The trip service platform may determine whether the receiving time interval is greater than a preset receiving time interval threshold, if so, determine that an order taking driver is abnormal in the process of executing the trip order, determine that the type of the abnormal is a video interrupt type, and process the abnormality through a terminal of the order taking driver according to a preset processing mode corresponding to the video interrupt type, that is, perform step S110, if not, determine that the order taking driver is not abnormal in the process of executing the trip order, and may receive the video in real time until the order taking driver completes the trip order, that is, return to perform step S106.
In addition, the travel service platform can also perform image processing on each frame of image in the video according to the received video, and monitor whether the order taking driver is abnormal or not in the process of executing the travel order according to the image processing result.
Specifically, the travel service platform may identify a behavior of the order taking driver according to image content of each frame of image in the video, determine whether the identified behavior of the order taking driver matches a pre-stored abnormal behavior, determine that the order taking driver is abnormal in the process of executing the travel order if the identified behavior of the order taking driver matches the pre-stored abnormal behavior, determine that the type of the abnormal behavior is the abnormal behavior type, and process the abnormal behavior through the terminal of the order taking driver according to a preset processing mode corresponding to the abnormal behavior type, that is, execute step S110, and if the identified behavior of the order taking driver does not match the pre-stored abnormal behavior, determine that the order taking driver is not abnormal in the process of executing the travel order, and receive the video in real time until the order taking driver completes the travel order, that is, return to execute step S106.
Meanwhile, the trip service platform can judge whether other abnormalities occur to the order taking driver according to the image content in the video.
For example, the travel service platform may detect a position of the order taking driver, determine that an abnormality occurs in the process of executing the travel order by the order taking driver if the order taking driver is not located at a designated position (i.e., a driving position), and determine that the type of the abnormality is the undetected target type.
For another example, the travel service platform may further determine, according to the image quality of each frame of image, if the image quality of any frame of image received by the travel service platform within a preset specified time is less than a preset image quality threshold, it is determined that an order taker is abnormal in the process of executing a travel order, and the type of the abnormal occurrence may be determined as an image quality abnormal type.
Certainly, the travel platform may also monitor whether other abnormalities occur in the process of executing the travel order by the order taking driver according to the received video, and determine the types of the other abnormalities, because there are many cases of the abnormalities and there are many types of the abnormalities, this specification does not give details about the process of monitoring that other types of abnormalities occur in the process of executing the travel order by the order taking driver.
First, the present specification will describe the content of handling the video interrupt type abnormality by the terminal of the order taker.
Fig. 3 is a flowchart of a processing method corresponding to a video interrupt type provided in this specification, which may specifically include the following steps:
s300: and generating a monitoring recovering request and sending the monitoring recovering request to the terminal.
Specifically, when the receiving time interval is greater than a preset receiving time interval threshold, the travel service platform determines that the type of the abnormality is a video interruption type, may generate a monitoring restoration request, and sends a message of the monitoring restoration request to the terminal of the order taking driver. After receiving the message of the monitoring recovery request sent by the travel service platform, the terminal of the order taking driver can remind the order taking driver in a voice or text mode.
S302: and judging whether a response of the monitoring recovering request returned by the terminal is received, if so, executing the step S304, otherwise, executing the step S306.
Specifically, if the terminal of the order taking driver is abnormal due to reasons such as signal interruption, after the received signal is recovered, the terminal of the order taking driver sends a response of recovering the monitoring request to the travel service platform according to the received monitoring recovering request, and continues to collect and upload the video in real time. The travel service platform continues to receive the video acquired and uploaded by the order taking driver in real time through the terminal of the order taking driver according to the received response of the monitoring restoring request sent by the terminal of the order taking driver, namely, the step S304 is executed.
If the terminal of the order taking driver does not recover the received signal, the terminal of the order taking driver cannot send a response of recovering the monitoring request to the travel service platform, in other words, the travel service platform does not receive the response of recovering the monitoring request returned by the terminal of the order taking driver, and the travel service platform can predict whether a risk event occurs in the process of executing the travel order by the order taking driver according to the received video, that is, step S306 is executed.
S304: and continuously receiving the video which is acquired and uploaded by the order taking driver in real time through the terminal.
S306: and predicting whether a risk event occurs to the order taking driver in the process of executing the travel order according to the received video, if so, executing the step S308, otherwise, returning to execute the step S300.
S308: and carrying out early warning treatment on the risk event.
The travel service platform can predict whether a risk event occurs to the order taker in the process of executing the travel order according to at least one of the path actually traveled by the order taker in the process of executing the travel order and the received audio data in the video, wherein the risk event can include a traffic accident, a physical and mental threat of passengers and the like.
Specifically, the travel service platform can acquire a planned path corresponding to the travel order and a position uploaded by a terminal of the order taking driver in real time in the process of executing the travel order by the order taking driver, determine an actual path of the order taking driver in the process of executing the travel order according to the acquired position uploaded in real time, judge whether the actual path deviates from the planned path according to the planned path and the actual path, determine that a risk event occurs in the process of executing the travel order by the order taking driver if the actual path deviates from the planned path, and determine that no risk event occurs in the process of executing the travel order by the order taking driver if the actual path does not deviate from the planned path.
Or, the trip service platform may further obtain audio data in the received video, determine similarity between the audio data in the video and pre-stored risk event audio data according to the pre-stored risk event audio data, determine whether the similarity is greater than a preset similarity threshold, determine that a risk event occurs in the process of executing the trip order by the order taker if the similarity is greater than the preset similarity threshold, and determine that no risk event occurs in the process of executing the trip order by the order taker if the similarity is not greater than the preset similarity threshold. The pre-stored risk event audio data may include traffic accident audio data, passenger louder call for help audio data, and the like.
In addition, the travel service platform can also manually detect the actual driving path of the order taking driver in the process of executing the travel order and the received audio data in the video in a manual intervention mode, and predict whether a risk event occurs to the order taking driver in the process of executing the travel order according to the result of the manual detection.
When the travel service platform determines that a risk event occurs to the order taking driver in the process of executing the travel order, the early warning processing can be carried out in the modes of alarming and the like.
When the travel service platform determines that the order taking driver has no risk event in the process of executing the travel order, the monitoring restoring request can be generated again until the specified condition is met.
Specifically, the travel service platform may obtain passenger types of the travel orders, determine, according to a preset correspondence between each passenger type and the number of times of generating the monitoring restoration request, the number of times of generating the monitoring restoration request corresponding to the travel orders as a specified number of times, determine whether the number of times of generating the monitoring restoration request is greater than the specified number of times, if the determination result is yes, determine that the specified condition is satisfied, otherwise, determine that the specified condition is not satisfied.
For example, when the passenger type of the travel order is the old person, if the number of times of generating the monitoring restoration request corresponding to the preset old person passenger type is three, the specified number of times is determined to be three, and if the number of times of generating the monitoring restoration request is more than three, it is indicated that a risk event may occur in the process of executing the travel order by the order taker, and early warning processing can be performed on the risk event.
Next, the present specification will describe the contents of processing an abnormality of an abnormal behavior type by the terminal of the order taker.
Specifically, when the behavior of the order taking driver is matched with the pre-stored abnormal behavior, the travel service platform can determine that the type of the abnormal behavior is the abnormal behavior type, and then sends a warning message to the terminal of the order taking driver to warn the order taking driver in a voice or text mode.
In addition, aiming at the types of the target type, the image quality abnormity type and other types of abnormity which are not detected, the trip platform can process the abnormity of the types through the terminal of the order taking driver. Specifically, the trip platform can send a warning message to a terminal of the order taking driver, and the order taking driver is warned in a voice or text mode.
For example, when the travel service platform determines that the type of the abnormality is an abnormal behavior type, the warning message may include a message warning a driver to take an order to standardize a behavior. For another example, when the travel service platform determines that the type of the abnormality is an image quality abnormality type, the warning message may include a message that prompts an order taking driver to acquire and upload a high-quality image in real time through a terminal of the order taking driver.
After the order taking driver finishes the trip order, namely, the order taking driver clicks a button that a passenger arrives on taxi taking software, and sends information for finishing the trip order to the trip service platform through a terminal of the order taking driver, after the trip service platform receives the information for finishing the trip order sent by the terminal of the order taking driver, a continuous monitoring request can be generated and sent to the terminal of the order taking driver, and the continuous monitoring request is used for enabling the terminal to collect and upload videos with specified duration. The travel service platform can receive videos of specified duration which are collected and uploaded by a terminal of an order taking driver in real time, monitor whether the order taking driver is abnormal after the travel order is completed or not according to the received videos of the specified duration, determine the type of the abnormal situation if the abnormal situation occurs, and process the abnormal situation through the terminal of the order taking driver according to a preset processing mode corresponding to the type. Of course, if the travel service platform sends other travel orders to the terminal of the order taker in the process of collecting and uploading the video with the specified duration in real time at the terminal of the order taker, the terminal of the order taker can automatically terminate the real-time collection of the video with the specified duration.
The order monitoring method provided by the specification can be applied to a scene that a user uses taxi taking software to reserve a windward trip or a scene that a user reserves a special car, a fast car and the like, and the trip order can comprise a network car-booking order, a windward order and the like. In addition, the specification can also be applied to a scene that a user uses taxi taking software to find a designated taxi, namely, the designated taxi is taken as an order receiving driver to execute a trip order.
Based on the order monitoring method shown in fig. 1, an embodiment of the present specification further provides a schematic structural diagram of an order monitoring apparatus, as shown in fig. 4.
Fig. 4 is a schematic structural diagram of an order monitoring apparatus provided in an embodiment of the present disclosure, where the order monitoring apparatus includes:
an obtaining module 401, configured to obtain a travel order;
a determining module 402, configured to determine, among drivers with monitoring authority, a driver who executes the travel order as an order pickup driver, where the monitoring authority is: in the process of executing the travel order, acquiring and uploading the permission of the video by using a terminal of a driver;
a generating module 403, configured to generate a monitoring request, and send the travel order and the monitoring request to the terminal, where the monitoring request is used for the terminal to collect and upload a video;
a first receiving module 404, configured to receive a video acquired and uploaded in real time by the terminal in a process that the order taking driver executes the travel order;
a monitoring module 405, configured to monitor whether the order taking driver is abnormal in the process of executing the travel order according to the received video;
and the processing module 406 is configured to determine a type of the abnormality when the monitoring result of the monitoring module is that the abnormality occurs, and process the abnormality through the terminal according to a preset processing mode corresponding to the type.
Optionally, the monitoring module 405 is specifically configured to obtain receiving time of an image in the video, and monitor whether the order taking driver is abnormal in the process of executing the travel order according to a receiving time interval between two adjacent frames of images; and/or detecting image content in the video, and monitoring whether the order taking driver is abnormal or not in the process of executing the travel order according to the image content.
Optionally, the monitoring module 405 is specifically configured to determine whether the receiving time interval is greater than a preset receiving time interval threshold; if so, determining that the order taking driver is abnormal in the process of executing the travel order; and if not, determining that the order taking driver is not abnormal in the process of executing the travel order.
Optionally, when the receiving time interval is greater than a preset receiving time interval threshold, determining that the type of the occurring abnormality is a video interruption type;
the processing module 406 is specifically configured to generate a monitoring resuming request, and send the monitoring resuming request to the terminal; if a response of the monitoring recovering request returned by the terminal is received, continuously receiving a video which is acquired and uploaded by the order taking driver in real time through the terminal; if the response of the monitoring recovering request returned by the terminal is not received, predicting whether a risk event occurs to the order taking driver in the process of executing the travel order according to the received video, if the risk event is predicted to occur, performing early warning processing on the risk event, and otherwise, regenerating the monitoring recovering request until a specified condition is met.
Optionally, the processing module 406 is specifically configured to obtain a planned path corresponding to the travel order and a position of the terminal uploaded in real time in a process of executing the travel order by the order taker; determining an actual path of the order taking driver in the process of executing the travel order according to the acquired real-time uploaded position; judging whether the actual path deviates from the planned path or not according to the planned path and the actual path; if the order taking driver deviates, determining that the risk event occurs in the process of executing the travel order by the order taking driver; and if the order is not deviated, determining that the order taking driver does not have the risk event in the process of executing the travel order.
Optionally, the processing module 406 is specifically configured to obtain audio data in the received video; according to pre-stored risk event audio data, determining the similarity between the audio data in the video and the pre-stored risk event audio data; judging whether the similarity is greater than a preset similarity threshold value or not; if so, determining that the risk event occurs to the order taking driver in the process of executing the travel order; and if not, determining that the order taking driver does not have the risk event in the process of executing the travel order.
Optionally, the processing module 406 is specifically configured to obtain a passenger type of the travel order; determining the times of generating the monitoring restoration request corresponding to the travel order as the designated times according to the corresponding relationship between the preset types of the passengers and the times of generating the monitoring restoration request; judging whether the number of times of generating the monitoring restoring request is greater than the specified number of times; if the judgment result is yes, determining that the specified condition is met; otherwise, determining that the specified condition is not satisfied.
Optionally, the monitoring module 405 is specifically configured to identify a behavior of the order taking driver according to the image content; judging whether the recognized behavior of the order taking driver is matched with the pre-stored abnormal behavior or not; if the order is matched with the travel order, determining that the order taking driver is abnormal in the process of executing the travel order; and if not, determining that the order taking driver has no abnormality in the process of executing the travel order.
Optionally, when the behavior of the order taking driver is matched with a pre-stored abnormal behavior, determining the type of the occurred abnormality as an abnormal behavior type;
the processing module 406 is specifically configured to send an alert message to the terminal.
Optionally, the apparatus further comprises a second receiving module 407;
the second receiving module 407 is specifically configured to receive a video with a specified duration, which is acquired and uploaded by the terminal in real time; monitoring whether the order taking driver is abnormal after finishing the travel order or not according to the received video with the specified duration; and if so, determining the type of the abnormal condition, and processing the abnormal condition through the terminal according to a preset processing mode corresponding to the type.
Optionally, the apparatus further comprises a sending module 408;
the sending module 408 is specifically configured to send the address of the received video to the contact according to the information of the contact set by the passenger in the travel order.
Embodiments of the present specification also provide a computer-readable storage medium, where the storage medium stores a computer program, and the computer program may be used to execute the method for order monitoring provided in fig. 1.
Based on the order monitoring method shown in fig. 1, the embodiment of the present specification further provides a schematic structural diagram of the electronic device shown in fig. 5. As shown in fig. 5, at the hardware level, the electronic device includes a processor, an internal bus, a network interface, a memory, and a non-volatile memory, but may also include hardware required for other services. The processor reads a corresponding computer program from the non-volatile memory into the memory and then runs the computer program to implement the order monitoring method described in fig. 1.
Of course, besides the software implementation, the present specification does not exclude other implementations, such as logic devices or a combination of software and hardware, and the like, that is, the execution subject of the following processing flow is not limited to each logic unit, and may be hardware or logic devices.
In the 90 th generation of 20 th century, it is obvious that improvements in Hardware (for example, improvements in Circuit structures such as diodes, transistors and switches) or software (for improvement in method flow) can be distinguished for a technical improvement, however, as technology develops, many of the improvements in method flow today can be regarded as direct improvements in Hardware Circuit structures, designers almost all obtain corresponding Hardware Circuit structures by Programming the improved method flow into Hardware circuits, and therefore, it cannot be said that an improvement in method flow cannot be realized by Hardware entity modules, for example, Programmable logic devices (Programmable logic devices L organic devices, P L D) (for example, Field Programmable Gate Arrays (FPGAs) are integrated circuits whose logic functions are determined by user Programming of devices), and a digital system is "integrated" on a P L D "by self Programming of designers without requiring many kinds of integrated circuits manufactured and manufactured by special chip manufacturers to design and manufacture, and only a Hardware software is written in Hardware programs such as Hardware programs, software programs, such as Hardware programs, software, Hardware programs, software programs, Hardware programs, software, Hardware programs, software, Hardware programs, software, Hardware, software, Hardware, software, Hardware, software, Hardware, software, Hardware, software, Hardware, software, Hardware, software, Hardware, software, Hardware, software, Hardware, software, Hardware, software, Hardware, software, Hardware, software, Hardware, software, Hardware, software.
A controller may be implemented in any suitable manner, e.g., in the form of, for example, a microprocessor or processor and a computer readable medium storing computer readable program code (e.g., software or firmware) executable by the (micro) processor, logic gates, switches, Application Specific Integrated Circuits (ASICs), programmable logic controllers (PLC's) and embedded microcontrollers, examples of which include, but are not limited to, microcontrollers 625D, Atmel AT91SAM, Microchip PIC18F26K20 and Silicone L abs C8051F320, which may also be implemented as part of the control logic of a memory.
The systems, devices, modules or units illustrated in the above embodiments may be implemented by a computer chip or an entity, or by a product with certain functions. One typical implementation device is a computer. In particular, the computer may be, for example, a personal computer, a laptop computer, a cellular telephone, a camera phone, a smartphone, a personal digital assistant, a media player, a navigation device, an email device, a game console, a tablet computer, a wearable device, or a combination of any of these devices.
For convenience of description, the above devices are described as being divided into various units by function, and are described separately. Of course, the functions of the various elements may be implemented in the same one or more software and/or hardware implementations of the present description.
As will be appreciated by one skilled in the art, embodiments of the present description may be provided as a method, system, or computer program product. Accordingly, the description may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the description may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The description has been presented with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the description. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
In a typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include forms of volatile memory in a computer readable medium, Random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). Memory is an example of a computer-readable medium.
Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
As will be appreciated by one skilled in the art, embodiments of the present description may be provided as a method, system, or computer program product. Accordingly, the description may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the description may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
This description may be described in the general context of computer-executable instructions, such as program modules, being executed by a computer. Generally, program modules include routines, programs, objects, components, data structures, etc. that perform particular tasks or implement particular abstract data types. The specification may also be practiced in distributed computing environments where tasks are performed by remote processing devices that are linked through a communications network. In a distributed computing environment, program modules may be located in both local and remote computer storage media including memory storage devices.
The embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for the system embodiment, since it is substantially similar to the method embodiment, the description is simple, and for the relevant points, reference may be made to the partial description of the method embodiment.
The above description is only an example of the present specification, and is not intended to limit the present specification. Various modifications and alterations to this description will become apparent to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present specification should be included in the scope of the claims of the present specification.
Claims (14)
1. A method of order monitoring, the method comprising:
acquiring a travel order;
determining a driver executing the travel order as an order taking driver among all drivers with monitoring authority, wherein the monitoring authority is as follows: in the process of executing the travel order, acquiring and uploading the permission of the video by using a terminal of a driver;
generating a monitoring request, and sending the travel order and the monitoring request to the terminal, wherein the monitoring request is used for enabling the terminal to collect and upload videos;
receiving a video which is acquired and uploaded in real time by the terminal in the process that the order taking driver executes the travel order;
monitoring whether the order taking driver is abnormal or not in the process of executing the travel order according to the received video;
if so, determining the type of the abnormal condition, and processing the abnormal condition through the terminal according to a preset processing mode corresponding to the type.
2. The method according to claim 1, wherein monitoring whether an abnormality occurs in the process of executing the travel order by the order taker according to the received video specifically comprises:
acquiring the receiving time of the images in the video, and monitoring whether the order taking driver is abnormal or not in the process of executing the travel order according to the receiving time interval of two adjacent frames of images; and/or the presence of a gas in the gas,
and detecting image content in the video, and monitoring whether the order taking driver is abnormal or not in the process of executing the travel order according to the image content.
3. The method according to claim 2, wherein monitoring whether the order taking driver is abnormal in the process of executing the travel order according to the receiving time interval of two adjacent frames of images specifically comprises:
judging whether the receiving time interval is larger than a preset receiving time interval threshold value or not;
if so, determining that the order taking driver is abnormal in the process of executing the travel order;
and if not, determining that the order taking driver is not abnormal in the process of executing the travel order.
4. The method of claim 3, wherein when the receiving time interval is greater than a preset receiving time interval threshold, determining the type of the occurring anomaly as a video interruption type;
according to a preset processing mode corresponding to the type, the exception is processed through the terminal, and the method specifically comprises the following steps:
generating a monitoring restoring request and sending the monitoring restoring request to the terminal;
if a response of the monitoring recovering request returned by the terminal is received, continuously receiving a video which is acquired and uploaded by the order taking driver in real time through the terminal;
if the response of the monitoring recovering request returned by the terminal is not received, predicting whether a risk event occurs to the order taking driver in the process of executing the travel order according to the received video, if the risk event is predicted to occur, performing early warning processing on the risk event, and otherwise, regenerating the monitoring recovering request until a specified condition is met.
5. The method according to claim 4, wherein predicting whether a risk event occurs in the course of executing the travel order by the order taker according to the received video comprises:
acquiring a planned path corresponding to the travel order and a position uploaded by the terminal in real time in the process of executing the travel order by the order taking driver;
determining an actual path of the order taking driver in the process of executing the travel order according to the acquired real-time uploaded position;
judging whether the actual path deviates from the planned path or not according to the planned path and the actual path;
if the order taking driver deviates, determining that the risk event occurs in the process of executing the travel order by the order taking driver;
and if the order is not deviated, determining that the order taking driver does not have the risk event in the process of executing the travel order.
6. The method according to claim 4, wherein predicting whether a risk event occurs in the course of executing the travel order by the order taker according to the received video comprises:
acquiring audio data in the received video;
according to pre-stored risk event audio data, determining the similarity between the audio data in the video and the pre-stored risk event audio data;
judging whether the similarity is greater than a preset similarity threshold value or not;
if so, determining that the risk event occurs to the order taking driver in the process of executing the travel order;
and if not, determining that the order taking driver does not have the risk event in the process of executing the travel order.
7. The method according to claim 4, wherein regenerating the restoration monitoring request until a specified condition is satisfied specifically comprises:
obtaining the passenger type of the travel order;
determining the times of generating the monitoring restoration request corresponding to the travel order as the designated times according to the corresponding relationship between the preset types of the passengers and the times of generating the monitoring restoration request;
judging whether the number of times of generating the monitoring restoring request is greater than the specified number of times;
if the judgment result is yes, determining that the specified condition is met;
otherwise, determining that the specified condition is not satisfied.
8. The method according to claim 2, wherein detecting image content in the video, and monitoring whether the order taker is abnormal in the process of executing the travel order according to the image content, specifically comprises:
according to the image content, recognizing the behavior of the order taking driver;
judging whether the recognized behavior of the order taking driver is matched with the pre-stored abnormal behavior or not;
if the order is matched with the travel order, determining that the order taking driver is abnormal in the process of executing the travel order;
and if not, determining that the order taking driver has no abnormality in the process of executing the travel order.
9. The method as set forth in claim 8, wherein when the behavior of the pickup driver matches a pre-stored abnormal behavior, it is determined that the type of the abnormality occurred is an abnormal behavior type;
according to a preset processing mode corresponding to the type, the exception is processed through the terminal, and the method specifically comprises the following steps:
and sending an alarm message to the terminal.
10. The method of claim 1, wherein after completion of the travel order, the method further comprises:
receiving videos which are collected and uploaded by the terminal in real time and have specified duration;
monitoring whether the order taking driver is abnormal after finishing the travel order or not according to the received video with the specified duration;
and if so, determining the type of the abnormal condition, and processing the abnormal condition through the terminal according to a preset processing mode corresponding to the type.
11. The method of any one of claims 1 to 10, further comprising:
and sending the address of the received video to the contact according to the information of the contact set by the passenger in the travel order.
12. An apparatus for order monitoring, the apparatus comprising:
the obtaining module is used for obtaining a travel order;
the determining module is used for determining a driver executing the travel order as an order taking driver in all drivers with monitoring authority, and the monitoring authority is as follows: in the process of executing the travel order, acquiring and uploading the permission of the video by using a terminal of a driver;
the generating module is used for generating a monitoring request and sending the travel order and the monitoring request to the terminal, wherein the monitoring request is used for enabling the terminal to collect and upload videos;
the first receiving module is used for receiving a video which is acquired and uploaded by the terminal in real time in the process that the order taking driver executes the travel order;
the monitoring module is used for monitoring whether the order taking driver is abnormal or not in the process of executing the travel order according to the received video;
and the processing module is used for determining the type of the abnormal condition when the monitoring result of the monitoring module is abnormal, and processing the abnormal condition through the terminal according to a preset processing mode corresponding to the type.
13. A computer-readable storage medium, characterized in that the storage medium stores a computer program which, when executed by a processor, implements the method of any of the preceding claims 1-11.
14. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the method of any of claims 1-11 when executing the program.
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| CN202010228656.4A CN111445146A (en) | 2020-03-27 | 2020-03-27 | Order monitoring method and device |
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111951588A (en) * | 2020-08-21 | 2020-11-17 | 重庆大数据研究院有限公司 | Cross-boundary big data space-time synchronization, processing and safety sharing system of commercial vehicle |
| CN112002033A (en) * | 2020-08-21 | 2020-11-27 | 北京嘀嘀无限科技发展有限公司 | Control system, method, device, equipment and storage medium for video equipment |
| CN112183245A (en) * | 2020-09-11 | 2021-01-05 | 广州宸祺出行科技有限公司 | Method and device for monitoring abnormal behaviors of taxi appointment driver of network and giving alarm and electronic equipment |
| CN112529661A (en) * | 2020-12-09 | 2021-03-19 | 北京嘀嘀无限科技发展有限公司 | Information interaction method and device, electronic equipment and readable storage medium |
| CN112837119A (en) * | 2021-01-28 | 2021-05-25 | 天津五八到家货运服务有限公司 | Abnormal order identification method and device, electronic equipment and storage medium |
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2020
- 2020-03-27 CN CN202010228656.4A patent/CN111445146A/en active Pending
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111951588A (en) * | 2020-08-21 | 2020-11-17 | 重庆大数据研究院有限公司 | Cross-boundary big data space-time synchronization, processing and safety sharing system of commercial vehicle |
| CN112002033A (en) * | 2020-08-21 | 2020-11-27 | 北京嘀嘀无限科技发展有限公司 | Control system, method, device, equipment and storage medium for video equipment |
| CN112183245A (en) * | 2020-09-11 | 2021-01-05 | 广州宸祺出行科技有限公司 | Method and device for monitoring abnormal behaviors of taxi appointment driver of network and giving alarm and electronic equipment |
| CN112529661A (en) * | 2020-12-09 | 2021-03-19 | 北京嘀嘀无限科技发展有限公司 | Information interaction method and device, electronic equipment and readable storage medium |
| CN112837119A (en) * | 2021-01-28 | 2021-05-25 | 天津五八到家货运服务有限公司 | Abnormal order identification method and device, electronic equipment and storage medium |
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