CN111866056A

CN111866056A - Information pushing method and device, electronic equipment and storage medium

Info

Publication number: CN111866056A
Application number: CN202010209695.XA
Authority: CN
Inventors: 林航东; 张法朝; 王新蕾; 刘亚书; 韩福波; 唐剑
Original assignee: Beijing Didi Infinity Technology and Development Co Ltd
Current assignee: Beijing Didi Infinity Technology and Development Co Ltd
Priority date: 2020-03-23
Filing date: 2020-03-23
Publication date: 2020-10-30
Anticipated expiration: 2040-03-23
Also published as: CN111866056B

Abstract

The application provides an information pushing method, an information pushing device, electronic equipment and a storage medium, wherein the method comprises the following steps: acquiring current running state information corresponding to a target service provider and historical driving state information of the target service provider corresponding to the target service provider in different historical time periods; determining whether a target service provider corresponding to the target service provider is in a fatigue driving state at present based on historical driving state information and current driving state information respectively corresponding to different historical time periods; and if the target service provider is determined to be in a fatigue driving state at present, sending driving reminding information to the target service provider, wherein the accuracy of information pushing can be improved.

Description

Information pushing method and device, electronic equipment and storage medium

Technical Field

The present application relates to the field of information technologies, and in particular, to an information pushing method and apparatus, an electronic device, and a storage medium.

Background

With the rapid development of the internet, the travel service platform can provide various travel services for passengers. When a passenger goes out by using a service providing end of the travel service platform, the state of a driver in the driving process is very important, and whether the driver is tired or not can influence the personal safety of the passenger and the driver.

For the state detection of a driver in a driving process, whether the driver is tired or not is generally detected through a terminal device installed in a vehicle, a fatigue state detection model trained in advance is stored in the terminal device, but the detection accuracy of the fatigue state detection model is low due to the fact that the driver possibly has the problems of shielding in the driving process of the vehicle or the light in the vehicle is dark.

Disclosure of Invention

In view of the above, an object of the present application is to provide a vehicle scheduling method, apparatus, electronic device and storage medium to improve the accuracy of providing high-end push information to a service.

In a first aspect, an embodiment of the present application provides an information pushing apparatus, where the apparatus includes:

the system comprises an acquisition module, a display module and a control module, wherein the acquisition module is used for acquiring current running state information corresponding to a target service provider and historical driving state information of the target service provider corresponding to the target service provider in different historical time periods;

the determining module is used for determining whether a target service provider corresponding to the target service provider is in a fatigue driving state at present based on the historical driving state information and the current driving state information which are respectively corresponding to different historical time periods and are acquired by the acquiring module;

And the sending module is used for sending driving reminding information to the target service provider if the determining module determines that the target service provider is currently in a fatigue driving state.

In one embodiment, the determining module is configured to determine that the target service provider is currently in a fatigue driving state according to the following steps:

determining whether the target service provider is in a fatigue state in the corresponding historical time period based on the facial feature information corresponding to the target service provider in each historical time period;

if the target service provider is determined to be in the fatigue state in at least one historical time period, and the number of the historical time periods in which the target service provider is in the fatigue state is greater than a first threshold value, determining that the target service provider is currently in the fatigue state;

and if the target service provider is determined to be in the driving state based on the current driving state information, determining that the target service provider is in the fatigue driving state currently.

In one embodiment, the determination module is configured to determine whether the target service provider is in a tired state for a corresponding historical period of time according to the following steps:

Acquiring behavior characteristic information corresponding to each historical time period of the target service provider;

and determining whether the target service provider is in a fatigue state in the corresponding historical time period or not based on the behavior characteristic information and the face characteristic information corresponding to the target service provider in each historical time period.

In one embodiment, the determination module is configured to determine that the target service provider is in fatigue for at least one historical time period according to:

for each historical time period, determining a face score corresponding to each face image frame set in the historical time period according to the face feature information respectively corresponding to a plurality of face image frame sets corresponding to the historical time period; the face image frames in the face image frame set have a precedence relationship;

and if the face scores in the face scores are larger than a preset score threshold value and the number of the face scores larger than the preset score threshold value is larger than a second threshold value, determining that the target service provider is in a fatigue state in the historical time period.

In one embodiment, the obtaining module is further configured to:

acquiring historical driving speed information of a target service providing section in different historical time periods;

The determining module is used for determining whether a target service provider corresponding to the target service provider is in a fatigue driving state at present according to the following steps:

and determining whether the target service provider corresponding to the target service provider is in a fatigue driving state currently or not based on the historical driving state information and the historical driving speed information which correspond to the target service provider in different historical time periods respectively and the current driving state information.

and if the target service provider is determined to be in the driving state currently based on the current driving state information, the target service provider is in the fatigue state in at least one historical time period in different historical time periods, the number of the historical time periods in which the target service provider is in the fatigue state is greater than a third threshold value, and the historical driving speed corresponding to the historical time period in which the number is greater than the third threshold value is greater than a preset first speed threshold value, determining that the target service provider is in the fatigue driving state currently.

In one embodiment, the determination module is configured to determine that the target service provider is in a driving state according to the following steps:

And if the current running speed corresponding to the target service providing end is larger than a preset second speed threshold value, determining that the target service providing end is in a running state.

In one embodiment, the determining module is further configured to:

and if the target service provider is determined not to be in the fatigue driving state, stopping acquiring the running state information corresponding to the target service provider and the historical driving state information of the target service provider corresponding to the target service provider in different historical time periods within a preset time period.

In a second aspect, an embodiment of the present application provides an information pushing method, where the method includes:

acquiring current running state information corresponding to a target service provider and historical driving state information of the target service provider corresponding to the target service provider in different historical time periods;

determining whether a target service provider corresponding to the target service provider is in a fatigue driving state at present based on historical driving state information and current driving state information respectively corresponding to different historical time periods;

and if the target service provider is determined to be in a fatigue driving state at present, transmitting driving reminding information to the target service provider.

In one embodiment, determining that the target service provider is currently in a fatigue driving state comprises:

In one embodiment, determining whether the target service provider is in a tired state for a corresponding historical period of time includes:

In one embodiment, determining that the target service provider is in a tired state for at least one historical period of time includes:

In one embodiment, the method further comprises:

determining whether a target service provider corresponding to the target service provider is currently in a fatigue driving state, including:

In one embodiment, determining that the target service provider is in a driving state comprises:

In one embodiment, the method further comprises:

In a third aspect, an embodiment of the present application provides an electronic device, including: the information pushing method comprises a processor, a storage medium and a bus, wherein the storage medium stores machine-readable instructions executable by the processor, when an electronic device runs, the processor and the storage medium communicate through the bus, and the processor executes the machine-readable instructions to execute the steps of the information pushing method.

In a fourth aspect, the present application provides a computer-readable storage medium, where a computer program is stored on the computer-readable storage medium, and when the computer program is executed by a processor, the computer program performs the steps of the information pushing method.

The information pushing method provided by the embodiment of the application obtains current driving state information corresponding to a target service provider, historical driving state information of the target service provider corresponding to the target service provider in different historical time periods, determines whether the target service provider corresponding to the target service provider is in a fatigue driving state at present based on the historical driving state information and the current driving state information respectively corresponding to the different historical time periods, not only considers the historical driving state information of the target service provider, but also considers the current driving state information of the target service provider, determines whether the target service provider is in the fatigue driving state by combining the historical driving state information and the current driving state information, and sends driving reminding information to the target service provider when the target service provider is determined to be in the fatigue driving state at present, therefore, the accuracy of determining whether the target service provider is in the fatigue driving state or not is improved, the accuracy of the pushed driving reminding information is improved, the fatigue driving state of the service provider is reduced, and meanwhile the service quality of the travel platform is improved.

Drawings

In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are required to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present application and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained from the drawings without inventive effort.

Fig. 1 shows an architecture diagram of an information push system provided by an embodiment of the present application;

fig. 2 shows a first flowchart of an information pushing method provided by an embodiment of the present application;

fig. 3 shows a second flowchart of an information pushing method provided by an embodiment of the present application;

fig. 4 is a schematic structural diagram illustrating an information pushing apparatus provided in an embodiment of the present application;

fig. 5 shows a schematic structural diagram of an electronic device provided in an embodiment of the present application.

Detailed Description

In order to make the purpose, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it should be understood that the drawings in the present application are for illustrative and descriptive purposes only and are not used to limit the scope of protection of the present application. Additionally, it should be understood that the schematic drawings are not necessarily drawn to scale. The flowcharts used in this application illustrate operations implemented according to some embodiments of the present application. It should be understood that the operations of the flow diagrams may be performed out of order, and steps without logical context may be performed in reverse order or simultaneously. One skilled in the art, under the guidance of this application, may add one or more other operations to, or remove one or more operations from, the flowchart.

In addition, the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. The components of the embodiments of the present application, generally described and illustrated in the figures herein, can be arranged and designed in a wide variety of different configurations. Thus, the following detailed description of the embodiments of the present application, presented in the accompanying drawings, is not intended to limit the scope of the claimed application, but is merely representative of selected embodiments of the application. All other embodiments, which can be derived by a person skilled in the art from the embodiments of the present application without making any creative effort, shall fall within the protection scope of the present application.

To enable those skilled in the art to use the present disclosure, the following embodiments are presented in conjunction with a specific application scenario, "travel scenario". It will be apparent to those skilled in the art that the general principles defined herein may be applied to other embodiments and applications without departing from the spirit and scope of the application. Although the present application primarily focuses on travel scenarios, it should be understood that this is only one exemplary embodiment.

It should be noted that in the embodiments of the present application, the term "comprising" is used to indicate the presence of the features stated hereinafter, but does not exclude the addition of further features.

The terms "passenger," "requestor," "service requestor," and "customer" are used interchangeably in this application to refer to an individual, entity, or tool that can request or order a service. The terms "driver," "provider," "service provider," and "provider" are used interchangeably in this application to refer to an individual, entity, or tool that can provide a service. The term "user" in this application may refer to an individual, entity or tool that requests a service, subscribes to a service, provides a service, or facilitates the provision of a service. For example, the user may be a passenger, a driver, an operator, etc., or any combination thereof. In the present application, "passenger" and "passenger terminal" may be used interchangeably, and "driver" and "driver terminal" may be used interchangeably.

The terms "service request" and "order" are used interchangeably herein to refer to a request initiated by a passenger, a service requester, a driver, a service provider, or a supplier, the like, or any combination thereof. Accepting the "service request" or "order" may be a passenger, a service requester, a driver, a service provider, a supplier, or the like, or any combination thereof. The service request may be charged or free.

The state detection in the driving process of the driver can comprise fatigue distraction detection, bad behavior detection (such as calling, drinking and smoking) and the like. In the process of detecting the state of a driver, the image of the driver is collected through a camera installed in a vehicle, the image is transmitted to the vehicle-mounted equipment, and the vehicle-mounted equipment inputs the image into a driver state detection model to realize the detection of the state of the driver.

The method is limited by the processing performance and the storage space of the vehicle-mounted equipment, the driver state detection model stored in the vehicle-mounted equipment is generally small, the accuracy of the driver state detection model is low, so that the accuracy of the recognition result of the driver state is low, in addition, a camera in the network appointment vehicle is generally installed by the driver, the camera is influenced by factors such as the angle, the light and the shielding of the camera, the quality of the image of the driver obtained by the camera is influenced, so that when the driver state detection model is used for recognition, the recognition result is inaccurate, and wrong early warning can be caused.

For convenience of description, the present application provides an information pushing method, acquiring current driving state information corresponding to a target service provider and historical driving state information of the target service provider corresponding to the target service provider in different historical time periods, determining whether the target service provider corresponding to the target service provider is currently in a fatigue driving state based on the historical driving state information and the current driving state information respectively corresponding to the different historical time periods, not only considering the historical driving state information of the target service provider, but also considering the current driving state information of the target service provider, determining whether the target service provider is in the fatigue driving state by combining the historical driving state information and the current driving state information, and sending driving reminding information to the target service provider when determining that the target service provider is currently in the fatigue driving state, therefore, the accuracy of determining whether the target service provider is in the fatigue driving state or not is improved, the accuracy of the pushed driving reminding information is improved, the fatigue driving state of the service provider is reduced, and meanwhile the service quality of the travel platform is improved.

Fig. 1 is a schematic structural diagram of an information push system according to an embodiment of the present application. For example, the information push system may be an online transportation service platform for transportation services such as taxi cab, designated drive service, express, carpool, bus service, driver rental, or regular service, or any combination thereof. The information push system may include one or more of a server 110, a network 120, a service requester terminal 130, a service provider terminal 140, and a database 150.

In some embodiments, the server 110 may include a processor. The processor may process information and/or data related to the service request to perform one or more of the functions described herein. For example, the processor may determine the target vehicle based on a service request obtained from the service requester terminal 130. In some embodiments, a processor may include one or more processing cores (e.g., a single-core processor (S) or a multi-core processor (M)). Merely by way of example, a Processor may include a Central Processing Unit (CPU), an Application Specific Integrated Circuit (ASIC), an Application Specific Instruction Set Processor (ASIP), a Graphics Processing Unit (GPU), a Physical Processing Unit (PPU), a Digital Signal Processor (DSP), a Field Programmable Gate Array (FPGA), a Programmable Logic Device (PLD), a controller, a microcontroller Unit, a reduced Instruction Set computer (reduced Instruction Set computer), a microprocessor, or the like, or any combination thereof.

In some embodiments, the device types corresponding to the service requester terminal 130 and the service provider terminal 140 may be mobile devices, such as smart home devices, wearable devices, smart mobile devices, virtual reality devices, augmented reality devices, and the like, and may also be tablet computers, laptop computers, built-in devices in motor vehicles, and the like.

In some embodiments, the database 150 may be connected to the network 120 to communicate with one or more components (e.g., the server 110, the service requester terminal 130, the service provider terminal 140, etc.) in the information push system 100. One or more components in the information push system may access data or instructions stored in the database 150 via the network 120. In some embodiments, the database 150 may be directly connected to one or more components in the information push system, or the database 150 may be part of the server 110.

The information push method provided by the embodiment of the present application is described in detail below with reference to the content described in the information push system shown in fig. 1.

An embodiment of the present application provides an information pushing method, as shown in fig. 2, where the method is applied to a server of a travel service platform, and the method specifically includes the following steps:

S201, acquiring current running state information corresponding to a target service provider and historical driving state information of the target service provider corresponding to the target service provider in different historical time periods.

S202, determining whether a target service provider corresponding to the target service provider is in a fatigue driving state at present based on historical driving state information and current driving state information respectively corresponding to different historical time periods.

And S203, if the target service provider is determined to be in a fatigue driving state at present, transmitting driving reminding information to the target service provider.

In S201, the service provider may be a terminal device in a vehicle, where the terminal device includes a Global Positioning System (GPS) module, an image acquisition module (such as a camera), a processor, and the like; the running state information comprises information such as running speed of the service provider and the position of the service provider, and the current running state information is acquired in real time in the running process of a vehicle corresponding to the target service provider; the history period is a period before a time point at which the current driving state information is acquired, the history period may be several tens of seconds, several minutes, or the like continuously, and the history driving state information may include facial feature information of the service provider and behavior feature information of the service provider, and the like, which will be described in detail below.

In a specific implementation process, the driving state information may be acquired by a Global Positioning System (GPS) module in the target service provider, and the historical driving state information is obtained by identifying a state identification model running in the target service provider, which is described below as an identification process of the historical driving state information.

In the actual running process of the vehicle, a service provider installed in the vehicle can acquire a video stream of the service provider in real time, facial features in the video stream are identified by using a state identification model, the video stream can transmit one frame of image for 0.25 second, and the state identification model identifies the facial feature information of a driver in each frame of image. The facial feature information corresponding to each frame of the identified image is uploaded to the server, so that the server can determine whether the service provider is in a fatigue state according to the facial feature information, which will be described in detail below. The state identification model can be a recurrent neural network model, a long-term and short-term memory network model and the like, and can be determined according to actual conditions.

In S202, the fatigue driving state indicates that the vehicle in which the service provider is currently located is in a running state and the service provider is in a fatigue state, and if the service provider is continuously in the fatigue driving state, a potential safety hazard is brought to the service requester.

In executing S202, with reference to fig. 3, determining that the target service provider is currently in a fatigue driving state based on the historical driving state information and the current driving state information respectively corresponding to different historical time periods includes:

s301, determining whether the target service provider is in a fatigue state in the corresponding historical time period based on the facial feature information corresponding to the target service provider in each historical time period.

S302, if the target service provider is determined to be in a fatigue state in at least one historical time period, and the number of the historical time periods in which the target service provider is in the fatigue state is larger than a first threshold value, determining that the target service provider is in a fatigue driving state currently.

And S303, if the target service provider is determined to be in the driving state based on the current driving state information, determining that the target service provider is in the fatigue driving state currently.

Upon determining that the target service provider is in a tired state for at least one historical period of time, the method may include the steps of:

Here, the facial feature information includes whether the service provider blinks eyes, the number of times of blinking eyes, whether the service provider has a gas, the number of times of gas, and the like; the facial image frames include facial features of the service provider, such as eyes, mouth, etc.; the video stream corresponding to each historical time period comprises a plurality of facial image frames, the facial image frames in the facial image frame set are image frames with a precedence relationship in time, for example, a first frame image to a tenth frame image in the video stream can form a facial image frame set with a precedence relationship; the face score represents the probability that the service provider is in the fatigue state, the higher the score is, the higher the probability that the service provider is in the fatigue state is, the face score comprises scores corresponding to different face features, for example, the face score comprises a score corresponding to an eye feature and a score corresponding to a mouth feature; the preset score threshold is preset and can be determined according to actual conditions; the first preset threshold and the second threshold are also preset and can be determined according to actual conditions.

The number of the facial image frames included in the facial image frame set may be determined according to a preset time sliding window, for example, if the time sliding window includes 10 images, the facial image frame set includes 10 images, and if the time sliding window may include 100 images, the facial image frame set includes 100 images, and in a specific implementation process, the number may be determined according to an actual situation. In practical applications, when the number of images included in the time sliding window is smaller than a first preset threshold (e.g. 8), it indicates that the length of the time period of the acquired image frames is relatively short, then the fatigue state determined by such facial image frame set is a real-time fatigue state, when the external factors such as light blink, the fatigue state detected in real time may be undetected, and in order to improve the accuracy of the detection, the image frames of a longer time period may be acquired, that is, the number of images included in the time sliding window is greater than a second preset threshold (e.g. 100), so as to improve the accuracy of the fatigue driving state determined by the server.

In a specific implementation process, for each historical time period, after acquiring a video stream corresponding to the historical time period, the target service provider identifies image frames in a plurality of face image frame sets corresponding to the video stream to obtain a face feature state corresponding to each face image frame, that is, an eye state and a mouth state corresponding to each face image frame in the face image frame set. The eye state and the mouth state can be represented by scoring, the eye opening state is 0, the eye closing state is 1, the eye ineffective state is 2, the mouth closing state is 0, the mouth opening state is 1, and the mouth ineffective state is 2. It is to be noted here that the invalid state may be a state in which the eye and mouth cannot be recognized from the image frame due to light or occlusion.

For example, if the eyes in the facial image frame are in the eye-closing state and the mouth is in the mouth-closing state, the score corresponding to the eye state is 1, and the score corresponding to the mouth state is 0.

After obtaining facial feature information corresponding to each facial image frame in the facial image frame set, uploading the facial feature information corresponding to each facial image frame in the facial image frame set to a server, calculating the sum of scores of all the facial image frames in the facial image frame set under the facial feature by the server aiming at each preset facial feature, and taking the total score of the facial image frame set under the facial feature as the facial score corresponding to the facial image frame set. Wherein the facial features include eyes and mouth.

For example, the facial image frame set includes 3 facial images, which are a1, a2, and A3, respectively, under the eye characteristics, the score of 1 for the a1 image frame, the score of 0 for the a2 image frame, and the score of 1 for the A3 image frame, under the mouth characteristics, the score of 1 for the a1 image frame, the score of 0 for the a2 image frame, and the score of 1 for the A3 image frame, then under the eye characteristics, the face corresponding to the facial image frame set is scored as 2, and under the mouth characteristics, the face corresponding to the facial image frame set is scored as 2.

After each face image frame set corresponding to each historical time period is obtained, comparing the face score of the face image frame set under each face feature with the preset score threshold corresponding to each face feature aiming at each face image frame set, and if the face score of the face image frame set under at least one face feature is larger than the preset score threshold corresponding to the corresponding face feature, determining that the target service provider is in a fatigue state in the time period corresponding to the face image frame set.

Counting the number of face scores under at least one face feature, wherein the number of the face image frame sets is larger than a preset score threshold corresponding to the corresponding face feature, and if the number is larger than a second threshold, it can be determined that the target service provider is in a fatigue state in the historical time period.

For example, the preset scoring thresholds corresponding to the eye feature and the mouth feature are both α, the first threshold is β, any historical time period includes three sets of facial image frames, which are a1, a2 and A3 respectively, the score of the mouth feature corresponding to a1 is α 10, the score of the eye feature is α 20, the score of the mouth feature corresponding to a1 is α 11, the score of the eye feature is α 21, the score of the mouth feature corresponding to A3 is α 12, and the score of the eye feature is α 22, where α 10 is greater than α, α 12 is greater than α, and α 22 is greater than α, that is, the facial scores corresponding to the facial image frame sets a1 and A3 are greater than the preset scoring threshold, the number of the facial image frame sets greater than the preset scoring threshold is 2, and is greater than the first threshold β, and the driver is in a fatigue state in any historical time period.

In practical applications, besides determining that the service provider is in a fatigue state through the facial features, the behavior feature information of the service provider can be considered, for example, the service provider in the fatigue state may have bad behavior actions such as smoking actions, drinking actions and the like, and whether the target service provider is in the fatigue state is determined by combining the behavior action information and the facial feature information. That is, behavior feature information corresponding to each historical time period of the target service provider is acquired, and whether the target service provider is in a fatigue state in the corresponding historical time period is determined based on the behavior feature information and the facial feature information corresponding to each historical time period of the target service provider.

Here, the behavior feature information includes feature information representing a drinking action, feature information representing a smoking action, and the like.

In a specific implementation process, for each historical time period, after the facial feature information corresponding to each facial image frame in the facial image frame set corresponding to the historical time period is acquired, the behavior feature information corresponding to each behavior image frame in each behavior image frame set corresponding to the historical time period is acquired at the same time.

The behavior image frame comprises behavior characteristics of the service provider, such as behavior characteristics comprising drinking behavior characteristics and smoking behavior characteristics; the video stream corresponding to each historical time period includes a plurality of behavior image frames, and the behavior image frames included in the behavior image frame set are image frames having a precedence relationship in time, for example, a first frame image to a tenth frame image in the video stream may form a behavior image frame set having a precedence relationship.

For each historical time period, after acquiring the video stream corresponding to the historical time period, the target service provider identifies the image frames in the multiple behavior image frame sets corresponding to the video stream to obtain a behavior feature state corresponding to each facial image frame, namely, a water drinking state and a smoking state corresponding to each behavior image frame in the behavior image frame set. Wherein, the drinking state and the smoking state can be represented by scoring, the non-drinking state is scored as 0, the drinking state is scored as 1, the non-smoking state is scored as 0, and the smoking state is scored as 1.

And uploading behavior characteristic information corresponding to each behavior image frame in the behavior image frame set to a server, calculating the sum of scores of all behavior image frames in the behavior image frame set under the behavior characteristic by the server aiming at each behavior characteristic, and taking the total score of the behavior image frame set under the behavior characteristic as the behavior score corresponding to the behavior image frame set. Wherein the behavior characteristics comprise smoking behavior characteristics and drinking behavior characteristics.

After each face image frame set and each behavior image frame set corresponding to each historical time period are obtained, for each historical time period, if the target service provider is determined to be in the fatigue state in the historical time period based on the face image frame sets, for each behavior image frame set, comparing the behavior score of the behavior image frame set under each behavior feature with a preset score threshold corresponding to the corresponding behavior feature, and if the behavior score of the behavior image frame set under at least one behavior feature is larger than the preset score threshold corresponding to the corresponding behavior feature, determining that the target service provider is in the fatigue state in the time period corresponding to the behavior image frame set.

And counting the number of the behavior image frame sets with the behavior scores larger than a second score threshold corresponding to the corresponding behavior features under at least one behavior feature, and if the number is larger than the second threshold, determining that the target service provider is in a fatigue state in the historical time period.

After determining that the target service provider is in a fatigue state for at least one historical period of time, determining whether the target service provider is in a driving state may include the steps of:

Here, the second speed threshold is determined according to actual conditions.

In the specific implementation process, whether the current running speed corresponding to the target service providing end is greater than a preset second speed threshold value or not is judged, and after the current running speed is determined to be greater than the second speed threshold value, the target service providing end is determined to be in a running state.

When determining whether the target service provider is currently in a fatigue driving state, only historical driving state information and current driving state information of the target service provider in a historical time period are considered, and since the historical driving state information is determined by a state identification model in the target service provider and is limited by model identification accuracy, the accuracy of the obtained historical driving state information is low.

In order to improve the accuracy of the determined fatigue driving state, while considering the historical driving state information and the current driving state information of the target service provider in the historical time period, considering the historical driving speed information corresponding to the target service provider in the historical time period, and determining whether the target service provider corresponding to the target service provider is currently in the fatigue driving state based on the historical driving state information and the historical driving speed information respectively corresponding to the target service provider in different historical time periods and the current driving state information, the method may include the following steps:

Upon determining that the target service provider is currently in a fatigue driving state, the method may include the steps of:

and if the target service provider is determined to be in the driving state currently based on the current driving state information, the target service provider is determined to be in the fatigue state in at least one historical time period in different historical time periods, the number of the historical time periods in which the target service provider is in the fatigue state is greater than a third threshold value, and the historical driving speed corresponding to the historical time period in which the number is greater than the third threshold value is greater than a preset first speed threshold value, the target service provider is determined to be in the fatigue driving state currently.

Here, the historical travel speed information includes an average travel speed of the target service provider in the historical time period and position information of the target service provider in the historical time period, the first speed threshold is a preset speed threshold, and the third threshold is determined according to actual conditions.

In a specific implementation process, when it is determined that the vehicle corresponding to the target service provider is in the driving state according to the current driving state information of the target service provider, it is determined whether the target service provider is in the fatigue state in each historical time period, and reference may be made to the above process for determining that the target service provider is in the fatigue state.

When the target service provider is determined to be in the driving state in at least one historical time period, whether the number of the historical time periods in the fatigue state of the target service provider is larger than a third threshold value or not is judged, if the number of the historical time periods in the fatigue state is larger than the third threshold value, whether the historical driving speed corresponding to the historical time periods in which the number is larger than the third threshold value is larger than a preset first speed threshold value or not is further judged, and after the historical driving speed corresponding to the historical time periods in which the number is larger than the third threshold value is determined to be larger than the preset first speed threshold value, the target service provider is determined to be in the fatigue driving state currently.

For example, if the third threshold is γ, the first speed threshold is V0, the history time periods corresponding to the target service provider include T1, T2 and T3, the target service provider is in a fatigue state in each of the history time periods T1, T2 and T3, the numbers of the history time periods T1, T2 and T3 are greater than γ, the speed of the target service provider in the history time period T1 is V1, the speed of the target service provider in the history time period T2 is V2, the speed of the target service provider in the history time period T3 is V3, and each of V1, V2 and V3 is greater than V0, it is determined that the target service provider is currently in a fatigue driving state.

In S103, the driving alert information may be voice information, video information, short message information, and the like.

In a specific implementation process, if it is determined for the first time that the target service provider is currently in a fatigue driving state, sending driving reminding information to the target service provider, for example, sending voice reminding information to the target service provider to remind the target service provider of paying attention to safe and cautious driving; after the target service provider is reminded for the first time, the driving speed of the vehicle corresponding to the target service provider is monitored in real time, if the driving speed is determined to be greater than a preset speed threshold value, strong reminding information is further sent to the target service provider, the strong reminding information can be video information, and the video information comprises a video picture for reminding a driver to pay attention to safety or a scene picture of a traffic accident so as to remind the target service provider to slow down and ensure the safety of a service requester.

If the target service provider is determined not to be in the fatigue driving state, it is indicated that error information exists in the driving state information or the historical driving state information uploaded by the target service provider, the target service provider can be added into the white list, and the service provider in the white list is not interfered in a preset time period, that is, the driving state information corresponding to the target service provider and the historical driving state information of the target service provider corresponding to the target service provider in different historical time periods stop being obtained in the preset time period, so that the processing pressure of the server can be reduced.

Based on the same inventive concept, an information pushing device corresponding to the information pushing method is also provided in the embodiments of the present application, and as the principle of solving the problem of the method in the embodiments of the present application is similar to the information pushing method in the embodiments of the present application, the implementation of the device can refer to the implementation of the method, and repeated details are not repeated.

An embodiment of the present application provides an information pushing apparatus, as shown in fig. 4, the apparatus includes:

an obtaining module 41, configured to obtain current driving state information corresponding to a target service provider, and historical driving state information of the target service provider corresponding to the target service provider in different historical time periods;

A determining module 42, configured to determine whether a target service provider corresponding to the target service provider is currently in a fatigue driving state based on the current driving state information and the historical driving state information respectively corresponding to different historical time periods acquired by the acquiring module 41;

a sending module 43, configured to send driving reminding information to the target service provider if the determining module 42 determines that the target service provider is currently in the fatigue driving state.

In one embodiment, the determining module 42 is configured to determine that the target service provider is currently in a fatigue driving state according to the following steps:

In one embodiment, the determination module 42 is configured to determine whether the target service provider is in a tired state for a corresponding historical period of time according to the following steps:

In one embodiment, the determining module 42 is configured to determine that the target service provider is in fatigue for at least one historical time period according to the following steps:

In one embodiment, the obtaining module 41 is further configured to:

the determining module 42 is configured to determine whether a target service provider corresponding to the target service provider is currently in a fatigue driving state according to the following steps:

In one embodiment, the determination module 42 is configured to determine that the target service provider is in a driving state according to the following steps:

In one embodiment, the determining module 42 is further configured to:

An embodiment of the present application further provides an electronic device 50, as shown in fig. 5, which is a schematic structural diagram of the electronic device 50 provided in the embodiment of the present application, and includes: a processor 51, a memory 52, and a bus 53. The memory 52 stores machine-readable instructions executable by the processor 51 (for example, the execution instructions corresponding to the obtaining module 41, the determining module 42, and the sending module 43 in the apparatus in fig. 4, and the like), when the electronic device 50 runs, the processor 51 communicates with the memory 52 through the bus 53, and the machine-readable instructions, when executed by the processor 51, perform the following processes:

In one possible embodiment, the instructions executed by the processor 51 for determining that the target service provider is currently in a fatigue driving state include:

In one possible embodiment, the instructions executed by the processor 51 to determine whether the target service provider is in fatigue for a corresponding historical period of time include:

In one possible embodiment, the instructions executed by the processor 51 to determine that the target service provider is in fatigue for at least one historical time period include:

In a possible implementation, the instructions executed by the processor 51 further include:

In one possible embodiment, the instructions executed by the processor 51 for determining that the target service provider is in the driving state include:

The embodiment of the present application further provides a computer-readable storage medium, where a computer program is stored on the computer-readable storage medium, and when the computer program is executed by a processor, the steps of the information push method are performed.

Specifically, the storage medium can be a general-purpose storage medium, such as a mobile disk, a hard disk, or the like, and when the computer program on the storage medium is executed, the information pushing method can be executed, so as to solve the problem of low accuracy in providing high-end pushed information to a service in the prior art, in the embodiments of the present application, after obtaining current driving state information corresponding to a target service provider and historical driving state information of a target service provider corresponding to the target service provider in different historical time periods, determining whether the target service provider corresponding to the target service provider is currently in a fatigue driving state based on the historical driving state information respectively corresponding to the different historical time periods and the current driving state information, not only considering the historical driving state information of the target service provider, but also considering the current driving state information of the target service provider, the method comprises the steps of determining whether a target service provider is in a fatigue driving state or not by combining historical driving state information and current driving state information, and sending driving reminding information to a target service provider when the target service provider is determined to be in the fatigue driving state currently, so that the accuracy of determining whether the target service provider is in the fatigue driving state or not is improved, the accuracy of the pushed driving reminding information is improved, the fatigue driving state of the service provider is reduced, and meanwhile the service quality of a travel platform is improved.

It can be clearly understood by those skilled in the art that, for convenience and brevity of description, the specific working processes of the system and the apparatus described above may refer to corresponding processes in the method embodiments, and are not described in detail in this application. In the several embodiments provided in the present application, it should be understood that the disclosed system, apparatus and method may be implemented in other ways. The above-described apparatus embodiments are merely illustrative, and for example, the division of the modules is merely a logical division, and there may be other divisions in actual implementation, and for example, a plurality of modules or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection of devices or modules through some communication interfaces, and may be in an electrical, mechanical or other form.

The modules described as separate parts may or may not be physically separate, and parts displayed as modules may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.

In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit.

The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a non-volatile computer-readable storage medium executable by a processor. Based on such understanding, the technical solution of the present application or portions thereof that substantially contribute to the prior art may be embodied in the form of a software product stored in a storage medium and including instructions for causing an electronic device (which may be a personal computer, a server, or a network device) to perform all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: various media capable of storing program codes, such as a U disk, a removable hard disk, a ROM, a RAM, a magnetic disk, or an optical disk.

The above description is only for the specific embodiments of the present application, but the scope of the present application is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present application, and shall be covered by the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.

Claims

1. An information pushing apparatus, comprising:

2. The apparatus of claim 1, wherein the determination module is to determine that the target service provider is currently in a fatigue driving state according to:

3. The apparatus of claim 2, wherein the determination module is to determine whether the target service provider is in fatigue for a corresponding historical period of time according to:

4. The apparatus of claim 2, wherein the determination module is configured to determine that the target service provider is in fatigue for at least one historical period of time according to:

5. The apparatus of claim 1, wherein the acquisition module is further to:

6. The apparatus of claim 5, wherein the determination module is configured to determine that the target service provider is currently in a fatigue driving state according to:

7. The apparatus of claim 2, wherein the determination module is configured to determine that the target service provider is in a driving state based on:

8. The apparatus of claim 1, wherein the determination module is further to:

9. An information pushing method, characterized in that the method comprises:

10. An electronic device, comprising: a processor, a storage medium and a bus, wherein the storage medium stores machine-readable instructions executable by the processor, when an electronic device runs, the processor communicates with the storage medium through the bus, and the processor executes the machine-readable instructions to execute the steps of the information pushing method according to claim 9.

11. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, performs the steps of the information pushing method according to claim 9.