CN116935680A

CN116935680A - Alarm method, device, equipment and storage medium

Info

Publication number: CN116935680A
Application number: CN202210373072.5A
Authority: CN
Inventors: 陈嘉莉
Original assignee: Beijing Baidu Netcom Science and Technology Co Ltd
Current assignee: Beijing Baidu Netcom Science and Technology Co Ltd
Priority date: 2022-04-11
Filing date: 2022-04-11
Publication date: 2023-10-24

Abstract

The disclosure provides an alarm method, an alarm device, alarm equipment and an alarm storage medium, relates to the technical field of artificial intelligence, and particularly relates to the technical field of intelligent traffic and electronic maps. The specific implementation scheme is as follows: determining whether the target vehicle meets an alarm condition according to map data, current positioning data of the target vehicle, last positioning data and current traffic of a road where the target vehicle is located; if yes, generating alarm information; and sending the alarm information to a set contact party of the target vehicle. Through the scheme, timely rescue can be provided for the unexpected vehicle.

Description

Alarm method, device, equipment and storage medium

Technical Field

The disclosure relates to the technical field of artificial intelligence, in particular to the technical field of intelligent traffic and electronic maps, and specifically relates to an alarm method, an alarm device, alarm equipment and a storage medium.

Background

When a vehicle runs on a set road scene (such as a highway scene), accidents, particularly at night and on a rarely used road, can be difficult to find after accidents, so that timely rescue cannot be achieved. Therefore, how to provide timely rescue for the unexpected vehicle is important.

Disclosure of Invention

The disclosure provides an alarm method, an alarm device, alarm equipment and a storage medium.

According to an aspect of the present disclosure, there is provided an alarm method, the method including:

determining whether the target vehicle meets an alarm condition according to map data, current positioning data of the target vehicle, last positioning data and current traffic of a road where the target vehicle is located;

if yes, generating alarm information;

and sending the alarm information to a set contact party of the target vehicle.

According to another aspect of the present disclosure, there is provided an electronic device including:

at least one processor; and

a memory communicatively coupled to the at least one processor; wherein,,

the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the alarm method of any one of the embodiments of the present disclosure.

According to another aspect of the present disclosure, there is provided a non-transitory computer-readable storage medium storing computer instructions for causing a computer to perform the alarm method of any of the embodiments of the present disclosure.

According to the technology disclosed by the invention, timely rescue can be provided for the unexpected vehicle.

It should be understood that the description in this section is not intended to identify key or critical features of the embodiments of the disclosure, nor is it intended to be used to limit the scope of the disclosure. Other features of the present disclosure will become apparent from the following specification.

Drawings

The drawings are for a better understanding of the present solution and are not to be construed as limiting the present disclosure. Wherein:

FIG. 1 is a flow chart of an alarm method provided in accordance with an embodiment of the present disclosure;

FIG. 2 is a flow chart of another alarm method provided in accordance with an embodiment of the present disclosure;

FIG. 3 is a schematic diagram of a warning method provided in accordance with an embodiment of the present disclosure;

FIG. 4 is a flow chart of yet another alarm method provided in accordance with an embodiment of the present disclosure;

FIG. 5 is a flow chart of yet another alarm method provided in accordance with an embodiment of the present disclosure;

FIG. 6 is a schematic diagram of a warning method provided in accordance with an embodiment of the present disclosure;

FIG. 7 is a schematic diagram of an alarm device provided according to an embodiment of the present disclosure;

fig. 8 is a block diagram of an electronic device for implementing an alarm method of an embodiment of the present disclosure.

Detailed Description

Exemplary embodiments of the present disclosure are described below in conjunction with the accompanying drawings, which include various details of the embodiments of the present disclosure to facilitate understanding, and should be considered as merely exemplary. Accordingly, one of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the present disclosure. Also, descriptions of well-known functions and constructions are omitted in the following description for clarity and conciseness.

Fig. 1 is a flowchart of an alarm method according to an embodiment of the present disclosure, where the method is applicable to a situation how to provide timely rescue for an unexpected vehicle, and is especially applicable to a situation how to provide timely rescue for an unexpected vehicle in a set road scenario (such as a highway scenario). Among them, the road scene is set to be a road scene in which a vehicle stop point is fixed, such as an expressway scene.

The method may be performed by an alarm device, which may be implemented in software and/or hardware, and may be integrated into an electronic device carrying alarm functions. As shown in fig. 1, the alarm method of the present embodiment may include:

S101, determining whether the target vehicle meets the alarm condition according to the map data, the current positioning data of the target vehicle, the last positioning data and the current traffic of the road where the target vehicle is located.

The target vehicle is any vehicle running on the road, and specifically may be a vehicle running in a set road scene based on a navigation path provided by a map navigation function in an intelligent terminal (such as a mobile phone). Optionally, the map navigation function provided in this embodiment has a function of setting an automatic alarm (such as a high-speed automatic alarm) for a road scene; further, before traveling, the user may turn on the high-speed automatic alarm function in the map application.

The positioning data can be the position data of the target vehicle collected by an intelligent terminal or a positioning system (such as a Global Positioning System (GPS)) in the target vehicle, and can comprise longitude and latitude information; furthermore, the current positioning data may be position data of the target vehicle reported by the intelligent terminal at the current time; correspondingly, the last positioning data can be the position data of the target vehicle reported by the intelligent terminal at the last time.

The map data in this embodiment may be data of a road scene where the target vehicle is located loaded by the high-precision map module in the map application corresponding to the map navigation function, for example, if the target vehicle runs on a certain expressway, the map data may be map data of a corresponding expressway loaded by the high-precision map module.

The current traffic is the current running condition of the road where the target vehicle is located, and is an index for judging whether the road where the target vehicle is located is congested. Alternatively, the current traffic volume may include a total number of traveling vehicles on the road where the target vehicle is located within a certain range from the target vehicle. In this embodiment, the current traffic may be obtained from the map application corresponding to the map navigation function.

The alarm condition is preset and is used for identifying whether the accident happens to the vehicle; can be dynamically changed according to the change of the set road scene.

Optionally, whether the target vehicle meets the alarm condition may be determined based on preset alarm analysis logic in combination with the acquired map data, the current positioning data of the target vehicle, the last positioning data, and the current traffic of the road on which the target vehicle is located. For example, whether the target vehicle satisfies the warning condition may be determined based on the acquired map data, the current positioning data of the target vehicle, the last positioning data, and the current traffic of the road on which the target vehicle is located, the traveling state of the target vehicle, the congestion condition of the road on which the target vehicle is located, the vehicle stop condition of the target vehicle, and the like, and based on the determined traveling state of the target vehicle, the congestion condition of the road on which the target vehicle is located, the vehicle stop condition of the target vehicle, and the like.

Further, a machine learning model may also be incorporated to determine whether the target vehicle satisfies the alert condition. For example, the obtained map data, the current positioning data of the target vehicle, the last positioning data, and the current traffic of the road on which the target vehicle is located may be input into a neural network trained in advance, and whether the target vehicle satisfies the alarm condition may be determined based on the model output.

In an embodiment, a vehicle environment image of the target vehicle may also be acquired from the target intelligent roadside device; and then, whether the target vehicle meets the alarm condition can be determined by combining the vehicle environment image, the map data, the current positioning data of the target vehicle, the last positioning data and the current traffic of the road where the target vehicle is positioned, so as to determine whether the target vehicle meets the alarm condition.

And S102, if the result is met, generating alarm information.

Optionally, if it is determined that the target vehicle meets the alarm condition, it is indicated that the target vehicle has a high probability of accident, and at this time, the alarm information may be generated according to a preset alarm information generating logic. For example, the current positioning data of the target vehicle, the vehicle travel information, and the like may be processed to generate the warning information. The vehicle driving information may include, but is not limited to, driver information of the target vehicle, license plate numbers, driving directions, and related information of a road on which the target vehicle is located.

Further, if the alarm condition is not met, the intelligent terminal is controlled to continue navigation.

S103, sending alarm information to a set contact party of the target vehicle.

In this embodiment, the set contacts may include police, emergency contacts set by the user in advance in the map application, and the like.

Alternatively, the alarm information may be sent to the set contact by voice and/or text. Further, in the case that the alarm information is presented in a text form, the alarm information may include a navigation link, so that the contact party can be set to quickly locate a rescue route based on the navigation link, so as to timely rescue people in the vehicle with accidents.

According to the technical scheme provided by the embodiment of the disclosure, whether the target vehicle meets the alarm condition can be accurately determined by combining the map data, the current positioning data of the target vehicle, the last positioning data and the current traffic of the road where the target vehicle is located, and the alarm information can be timely sent to the set contact party of the target vehicle under the condition that the target vehicle meets the alarm condition is determined. According to the scheme, the vehicle with accidents, such as the vehicle with accidents at night and/or in the uncommon road section, can be accurately identified, so that people in the vehicle with accidents can be timely rescued.

Fig. 2 is a flowchart of another warning method according to an embodiment of the present disclosure, where the embodiment further explains in detail whether the warning condition is satisfied by "determining the target vehicle according to the map data, the current positioning data of the target vehicle, the last positioning data, and the current traffic of the road on which the target vehicle is located" based on the above embodiment. As shown in fig. 2, the alarm method of the present embodiment may include:

s201, under the condition that the safety detection requirement is acquired, determining whether the target vehicle meets the alarm condition according to the map data, the current positioning data of the target vehicle, the last positioning data and the current traffic of the road where the target vehicle is located.

In this embodiment, the safety detection requirement is a requirement for detecting whether the target vehicle is traveling safely. Alternatively, there are many ways to obtain the security detection requirement, which is not limited in this embodiment. One way may be to determine that a safety detection requirement is acquired if it is identified that the time interval between the current time and the last detection time is equal to or greater than a set duration. The last detection time is the time for detecting whether the target vehicle runs safely or not (or the last round), namely the time for detecting or analyzing whether the target vehicle meets the alarm condition or not (or the last round); the set duration is a set time interval between two adjacent (or two) safety checks, such as 10 minutes, 20 minutes, etc.

Alternatively, if the current time is identified to reach the set safety detection time, the safety detection requirement is determined to be acquired. In this embodiment, the security detection time may be one or more time points set at random, such as 8 points, 9 points, 12 points, 13 points, 15 points, and the like; the determination may be made based on the time estimated by the target vehicle traveling from the start point to the terminal, the determination of the time at which the target vehicle starts traveling from the start point, or the like.

Still another way may be to determine that the security detection requirement is obtained if the security detection request is received. The security detection request may be a request sent by an emergency contact of the target vehicle to hold its intelligent terminal.

Optionally, if the time interval between the current time and the last detection time is identified to be equal to or greater than the set duration, the current time is identified to reach the set safety detection time, and at least one of the three is received, the safety detection requirement is determined to be acquired. Under the condition that the safety detection requirement is acquired, determining whether the target vehicle meets the alarm condition according to the map data, the current positioning data of the target vehicle, the last positioning data and the current traffic of the road where the target vehicle is located.

And S202, if the result is met, generating alarm information.

S203, sending alarm information to a set contact party of the target vehicle.

According to the technical scheme provided by the embodiment of the disclosure, under the condition that the safety detection requirement is acquired, by combining the map data, the current positioning data of the target vehicle, the last positioning data and the current traffic of the road where the target vehicle is located, whether the target vehicle meets the alarm condition can be accurately determined, and the alarm information can be timely sent to the set contact party of the target vehicle under the condition that the target vehicle meets the alarm condition. According to the scheme, the limiting condition of safety detection requirement is introduced, so that the number of false alarms can be reduced, and the recognition accuracy of the unexpected vehicle is greatly improved; in addition, the mode of acquiring the safety detection requirement in the scheme is not limited to one mode, so that the diversity and the flexibility of the scheme are improved.

Fig. 3 is a flowchart of another warning method according to an embodiment of the present disclosure, where the embodiment further explains in detail whether the warning condition is satisfied by "determining the target vehicle according to the map data, the current positioning data of the target vehicle, the last positioning data, and the current traffic of the road on which the target vehicle is located" based on the above embodiment. As shown in fig. 3, the alarm method of the present embodiment may include:

S301, determining the running state of the target vehicle according to the current positioning data of the target vehicle and the last positioning data of the last detection time.

In this embodiment, the last positioning data may be position data of the target vehicle reported by the intelligent terminal at the last time; optionally, the last time is the last detection time.

Alternatively, the running state may be a stationary state or a moving state.

In an embodiment, the driving distance of the target vehicle in the time interval between the current time and the last detection time may be determined according to the current positioning data of the target vehicle and the last positioning data of the last detection time; comparing the driving distance with a set distance threshold, and if the driving distance is smaller than or equal to the set distance threshold, determining that the target vehicle is in a stationary state; and if the driving distance is greater than the set distance threshold value, determining that the target vehicle is in a motion state. The set distance threshold may be set in advance according to practical situations, for example, 50cm.

Further, in still another embodiment, in the case where the safety detection requirement is acquired, the running state of the target vehicle is determined according to the current positioning data of the target vehicle and the last positioning data of the last detection time.

S302, determining whether the target vehicle meets the alarm condition according to the map data, the current positioning data and the current traffic of the road where the target vehicle is located when the driving state is in a static state.

Optionally, in the case that the driving state of the target vehicle is a stationary state, the vehicle parking condition of the target vehicle, the congestion condition of the road where the target vehicle is located, and the like may be determined according to the map data, the current positioning data, and the current traffic volume of the road where the target vehicle is located; and determining whether the target vehicle meets the alarm condition based on the determined vehicle stop condition of the target vehicle and the congestion condition of the road on which the target vehicle is located.

In an embodiment, the target road data and the target parking area surface data may be acquired from map data; determining whether the target vehicle is at a target stop point according to the current positioning data, the target road data and the target stop area surface data; and under the condition that the target vehicle is not at the target stop point, if the road where the target vehicle is positioned is identified to be in a smooth state according to the current traffic of the road where the target vehicle is positioned, determining that the target vehicle meets the alarm condition.

In this embodiment, the target road data is related data of an area for the vehicle to travel in a road scene where the target vehicle is located; the target parking area surface data is the relevant data of the area for the vehicle to park in the road scene where the target vehicle is located. For example, when a target vehicle is traveling on a scene of a certain highway, the target parking area face data may include, but is not limited to, data of an area where a service area, a gas station, a toll station, and the like are involved in the highway. The target stop point is any point in the target stop area surface data.

Optionally, acquiring target road data and target parking area surface data from the map data according to the attribute information; and the map matching technology is adopted to match the current positioning data with the target road data and the target parking area surface data respectively, and whether the target vehicle is at the target parking point is determined according to the matching result. For example, if the current positioning data matches the target parking area surface data, i.e., the current positioning data is a point in the target parking area surface data, then determining that the target vehicle is at the target parking point; and if the current positioning data is matched with the target road data, namely the current positioning data is a point in the target road data, determining that the target vehicle is not at the target stop point.

Further, under the condition that the target vehicle is not at the target stop point, analyzing the current traffic of the road where the target vehicle is located to determine whether the road where the target vehicle is located is congested. For example, the current traffic can be input into a congestion analysis model, and whether the road where the target vehicle is located is congested or not is determined according to the output of the model; or comparing the total number of the running vehicles in the current traffic with a preset vehicle number threshold value, and determining whether the road where the target vehicle is located is congested or not according to the comparison result.

For example, the total number of traveling vehicles in the current traffic is smaller than a preset threshold number of vehicles, and it may be determined that the road on which the target vehicle is located is not congested. If the road where the target vehicle is located is not congested, namely the road where the target vehicle is located is in an unblocked state, the target vehicle can be determined to meet the alarm condition.

It should be noted that, in the present embodiment, when the target vehicle is in a stationary state, whether the target vehicle is at the target stop point is determined based on the target road data and the target stop area surface data in the map data, and when the target vehicle is determined to be at the target stop point, then, the congestion condition of the road on which the target vehicle is located is determined based on the current traffic volume of the road on which the target vehicle is located, and whether the target vehicle meets the alarm condition is determined based on the congestion condition. The mode of adopting the multi-level progressive logic fully considers the environmental factors of the actual road, and further improves the recognition accuracy of the unexpected vehicle; is particularly suitable for expressway scenes.

And S303, if the result is met, generating alarm information.

S304, sending alarm information to a set contact party of the target vehicle.

According to the technical scheme provided by the embodiment of the disclosure, under the condition that the running state of the target vehicle is determined to be the static state according to the current positioning data and the upper positioning data of the target vehicle, the map data and the current traffic of the road where the target vehicle is located are combined, whether the target vehicle meets the alarm condition can be accurately determined, and the alarm information can be timely sent to the set contact party of the target vehicle under the condition that the target vehicle meets the alarm condition. According to the scheme, the optimal mode for accurately identifying the unexpected vehicle is provided, and data support is provided for timely rescue of the unexpected vehicle.

Fig. 4 is a flowchart of still another alarm method according to an embodiment of the present disclosure, and the embodiment further explains "generating alarm information" in detail on the basis of the above embodiment. As shown in fig. 4, the alarm method of the present embodiment may include:

s401, determining whether the target vehicle meets the alarm condition according to the map data, the current positioning data of the target vehicle, the last positioning data and the current traffic of the road where the target vehicle is located.

And S402, if the road pile information of the road where the target vehicle is located and the vehicle environment image of the target vehicle are acquired from the target intelligent road side equipment according to the current positioning data of the target vehicle.

In this embodiment, the target intelligent roadside device is the intelligent roadside device closest to the target vehicle in the road scene where the target vehicle is located. Optionally, the target intelligent road side device may have an image acquisition function for acquiring an image of a vehicle environment; further, the target intelligent roadside apparatus may be further configured with a Road Side Unit (RSU) for sensing information about a vehicle mounted with an On Board Unit (OBU), and the like. Furthermore, the target intelligent road side equipment is also provided with a communication module which can interact with the 5G cloud computing center, the data analysis platform, the intelligent terminal and the like. In this embodiment, the target roadside intelligent device may be an intelligent street lamp; the target vehicle has an on-board unit mounted therein.

The road pile is a road marking pile and is used for marking a road; for example, in an expressway scenario, a road stake may be used to identify an expressway segment or the like where a vehicle is located. The road stake identification information may be an identifier for uniquely identifying the road stake, for example, may be a name or number of the road stake, or the like. The vehicle environment image may include the target vehicle, the surrounding environment at the location of the target vehicle, and the like.

Optionally, under the condition that the target vehicle meets the alarm condition, current positioning data of the target vehicle can be reported to the 5G cloud computing center. Selecting one intelligent road side device nearest to the target vehicle from a plurality of intelligent road side devices of a road where the target vehicle is located as target intelligent road side device by a 5G cloud computing center according to the current positioning data of the target vehicle; and capturing road pile information associated with the target intelligent road side equipment from the attribute information of the target intelligent road side equipment, and sending the road pile information and the identification information (such as license plate number) of the target vehicle to the target intelligent road side equipment. At this time, the target intelligent road side device interacts with the vehicle-mounted unit in the target vehicle through the road side unit to acquire sensing data (including identification information of the target vehicle) of the target vehicle, compares the identification information of the target vehicle acquired from the 5G cloud computing center with the identification information of the target vehicle acquired from the vehicle-mounted unit of the target vehicle in a consistency manner, and acquires a vehicle environment image of the target vehicle through the image acquisition function under the condition that the identification information of the target vehicle and the identification information are determined to be consistent.

After the target intelligent road side equipment acquires the vehicle environment image of the target vehicle, the identification information of the target vehicle can be bound with the vehicle environment image and road pile information and reported to the data analysis platform.

Furthermore, the embodiment can acquire road pile information of the road where the target vehicle is located and a vehicle environment image of the target vehicle from the target intelligent road side device.

S403, generating alarm information according to road pile information, vehicle environment images, current positioning data and vehicle running information of a target vehicle.

Alternatively, the alarm information may be generated according to a preset alarm information generation logic. For example, the current positioning data of the target vehicle and the vehicle running information, and the vehicle environment image and the road stake information may be subjected to fusion processing according to the format to generate the warning information. Alternatively, the road pile information, the vehicle environment image, the current positioning data and the vehicle running information of the target vehicle may be directly compressed, and the compression result may be used as the alarm information.

S404, sending alarm information to a set contact party of the target vehicle.

According to the technical scheme provided by the embodiment of the disclosure, whether the target vehicle meets the alarm condition or not can be accurately determined by combining map data, current positioning data of the target vehicle, last positioning data and current traffic of a road where the target vehicle is located, and under the condition that the target vehicle meets the alarm condition, alarm information is generated according to the current positioning data of the target vehicle and vehicle running information, road pile information of the road where the target vehicle is located and a vehicle environment image of the target vehicle, which are acquired from target intelligent road side equipment, and the alarm information is timely sent to a set contact party of the target vehicle. According to the scheme, road pile information and vehicle environment images are introduced into the alarm information, so that the position of the target vehicle can be positioned more accurately, and rescue efficiency is improved.

Fig. 5 is a flowchart of still another alarm method according to an embodiment of the present disclosure, and the embodiment further explains "generating alarm information" in detail based on the above embodiment.

As shown in fig. 5, the alarm method of the present embodiment may include:

s501, determining whether the target vehicle meets an alarm condition according to the map data, the current positioning data of the target vehicle, the last positioning data and the current traffic of the road where the target vehicle is located.

S502, if satisfied, the warning query information is output to the driver of the target vehicle.

In this embodiment, the warning query information is information for querying whether the driver needs warning.

Alternatively, the alarm query information may be sent to an intelligent terminal used for navigation by the driver, and the intelligent terminal outputs the alarm query information to the driver of the target vehicle by ringing and/or vibrating.

S503, when no response information of the alarm query information is acquired, generating alarm information.

The response information is response information to the alarm inquiry information.

Optionally, the timing is started when the alarm inquiry information is output to the driver, if the timing exceeds a set time period (for example, 5 minutes) and the response information of the driver to the alarm inquiry information is still not obtained, an alarm function is started, namely, the related information required by the alarm is obtained, and the alarm information is generated.

S504, sending alarm information to a set contact party of the target vehicle.

According to the technical scheme provided by the embodiment of the disclosure, by combining map data, current positioning data of the target vehicle, last positioning data and current traffic of a road where the target vehicle is located, whether the target vehicle meets the alarm condition can be accurately determined, and when the target vehicle is determined to meet the alarm condition and response information of a driver of the target vehicle to the alarm query information is not acquired, alarm information is generated, and the alarm information is timely sent to a set contact party of the target vehicle. By introducing the alarm inquiry operation process, the scheme can avoid false alarm and ensure the accuracy of alarm; meanwhile, the flexibility of the whole scheme is increased.

Illustratively, on the basis of any one of the above embodiments, as an alternative manner of the embodiments of the present disclosure, it may further include: determining whether a peer vehicle of the target vehicle exists in a road where the target vehicle is located; if the information exists, the alarm information is sent to the set contact party of the target vehicle, and meanwhile, the assistance information comprising the identification information of the target vehicle and the current positioning data is sent to the same vehicle.

In the present embodiment, all vehicles having the same traveling direction as the target vehicle, the same road on which the target vehicle is located, and a distance from the target vehicle within a set range may be regarded as the same traveling vehicles as the target vehicle.

Optionally, when generating the alarm information, determining whether the same-vehicle of the target vehicle exists in the road where the target vehicle is located according to the current positioning data of the target vehicle and the vehicle running information, and the acquired current positioning data of other vehicles and the acquired current positioning data of the vehicle running information; if the information exists, the warning information can be sent to the set contact party of the target vehicle, and meanwhile, the assistance information comprising the identification of the target vehicle and the current positioning data can be sent to the peer vehicles in a voice and/or text mode, so that related personnel of the peer vehicles can simply assist the personnel in the target vehicle, further, the life safety of the user is ensured, and the occurrence probability of tragedy is reduced.

Fig. 6 is a schematic structural diagram of a warning method provided according to an embodiment of the present disclosure. The present embodiment provides a preferred example of a vehicle in a highway driving scene on the basis of the above-described embodiments. With reference to fig. 6, the whole alarm process is realized by the intelligent terminal, the map application in the intelligent terminal and the data analysis platform in a matching way, and the specific steps are as follows:

before the vehicle runs on the expressway based on the navigation path provided by the map navigation function in the map application, the user can log in the map application in the intelligent terminal, input driver information, contact information, emergency contacts and the like in an operation interface of the map application, and start a high-speed automatic alarm function.

Under the condition that the vehicle runs on the expressway based on the navigation path, the map application can start a timing function to perform time calculation, for example, the map application can perform large data analysis once every set time (such as one minute) to acquire traffic, acquire positioning data of the vehicle from a GPS in the intelligent terminal and report the positioning data to the data analysis platform.

The data analysis platform can acquire traffic and positioning data reported by the map application in real time and perform associated storage. Further, when the vehicle travels on the expressway based on the navigation path, the map application may also send data of a road scene where the target vehicle is located (i.e., map data) to the data analysis platform.

The data analysis platform has a time calculation function, and can acquire map data, current positioning data, current traffic and last positioning data of the last detection time reported by the map application under the condition that the time interval between the current time and the last detection time is equal to or greater than a set duration through the time calculation function; and based on the acquired data, determining whether the vehicle satisfies an alarm condition. For example, the running state of the vehicle is determined according to the current positioning data and the last positioning data of the vehicle, and under the condition that the running state is in a static state, the map matching technology is adopted, and whether the target vehicle meets the alarm condition can be accurately determined by combining the map data and the current traffic of the road where the target vehicle is located.

If the vehicle meets the alarm condition, the data analysis platform sends alarm inquiry information to the vehicle intelligent terminal (further can be a map application in the intelligent terminal) based on the reminding mechanism, and the intelligent terminal outputs the alarm inquiry information to a driver of the target vehicle in a ringing and/or vibrating mode.

If the response information of the driver to the alarm query information is not obtained within the set time, the data analysis platform starts an automatic alarm function, namely, relevant information required by the alarm is obtained, alarm information is generated, and the alarm information is sent to a set contact party of the target vehicle.

It should be noted that, in this embodiment, by combining the map data, the current positioning data of the target vehicle, the previous positioning data, the current traffic volume of the road where the target vehicle is located, and other multidimensional data, the vehicle with an accident situation, for example, the vehicle with an accident in the evening and/or the uncommon road section, can be accurately identified, so that people in the unexpected vehicle can be timely rescued. In addition, the scheme introduces an alarm inquiry operation process, so that false alarm can be avoided, and the accuracy of the alarm is ensured; meanwhile, the flexibility of the whole scheme is increased.

Fig. 7 is a schematic structural diagram of an alarm device according to an embodiment of the present disclosure. The embodiment of the disclosure is suitable for providing timely rescue for the unexpected vehicle, and is particularly suitable for providing timely rescue for the unexpected vehicle under a set road scene (such as a highway scene). The device may be implemented in software and/or hardware, and may implement the alarm method described in any embodiment of the disclosure. As shown in fig. 7, the alarm device 700 includes:

An alarm condition determining module 701, configured to determine whether the target vehicle meets an alarm condition according to the map data, current positioning data of the target vehicle, previous positioning data, and current traffic of a road on which the target vehicle is located;

the alarm information generating module 702 is configured to generate alarm information if the alarm information is satisfied;

and the alarm information sending module 703 is configured to send alarm information to a set contact party of the target vehicle.

Illustratively, the alarm condition determination module 701 includes:

a running state determining unit for determining a running state of the target vehicle according to the current positioning data of the target vehicle and the last positioning data of the last detection time;

and the alarm condition determining unit is used for determining whether the target vehicle meets the alarm condition according to the map data, the current positioning data and the current traffic of the road where the target vehicle is located under the condition that the driving state is in a static state.

The alarm condition determining unit is, for example, specifically adapted to:

acquiring target road data and target parking area surface data from map data;

determining whether the target vehicle is at a target stop point according to the current positioning data, the target road data and the target stop area surface data;

And under the condition that the target vehicle is not at the target stop point, if the road where the target vehicle is positioned is identified to be in a smooth state according to the current traffic of the road where the target vehicle is positioned, determining that the target vehicle meets the alarm condition.

Illustratively, the alarm condition determination is specifically for:

under the condition that the safety detection requirement is acquired, determining whether the target vehicle meets the alarm condition according to the map data, the current positioning data of the target vehicle, the last positioning data and the current traffic of the road where the target vehicle is located.

Illustratively, the apparatus further comprises:

the safety detection requirement acquisition module is used for executing at least one of the following:

identifying that the time interval between the current time and the last detection time is equal to or greater than a set duration;

and recognizing that the current time reaches the set safety detection time.

Illustratively, the alarm information generation module 702 is specifically configured to:

according to the current positioning data of the target vehicle, road pile information of a road where the target vehicle is located and a vehicle environment image of the target vehicle are obtained from target intelligent road side equipment;

and generating alarm information according to the road pile information, the vehicle environment image, the current positioning data and the vehicle running information of the target vehicle.

Illustratively, the alarm information generation module 702 is further specifically configured to:

outputting alarm query information to a driver of a target vehicle;

and generating alarm information when the response information of the alarm inquiry information is not acquired.

Illustratively, the apparatus further comprises:

the same-vehicle determining module is used for determining whether the same-vehicle of the target vehicle exists in the road where the target vehicle is located;

and the assistance information sending module is used for sending the warning information to the set contact party of the target vehicle and sending the assistance information comprising the identification information and the current positioning data of the target vehicle to the peer vehicles at the same time if the warning information exists.

In the technical scheme of the disclosure, the related map data, the current positioning data of the vehicle, the last positioning data and the like are acquired, stored and applied, and the like, all conform to the regulations of related laws and regulations and do not violate the popular regulations of the public order.

According to embodiments of the present disclosure, the present disclosure also provides an electronic device, a readable storage medium and a computer program product.

Fig. 8 illustrates a schematic block diagram of an example electronic device 800 that may be used to implement embodiments of the present disclosure. Electronic devices are intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. The electronic device may also represent various forms of mobile devices, such as personal digital processing, cellular telephones, smartphones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be exemplary only, and are not meant to limit implementations of the disclosure described and/or claimed herein.

As shown in fig. 8, the electronic device 800 includes a computing unit 801 that can perform various appropriate actions and processes according to a computer program stored in a Read Only Memory (ROM) 802 or a computer program loaded from a storage unit 808 into a Random Access Memory (RAM) 803. In the RAM 803, various programs and data required for the operation of the electronic device 800 can also be stored. The computing unit 801, the ROM 802, and the RAM 803 are connected to each other by a bus 804. An input/output (I/O) interface 805 is also connected to the bus 804.

Various components in electronic device 800 are connected to I/O interface 805, including: an input unit 806 such as a keyboard, mouse, etc.; an output unit 807 such as various types of displays, speakers, and the like; a storage unit 808, such as a magnetic disk, optical disk, etc.; and a communication unit 809, such as a network card, modem, wireless communication transceiver, or the like. The communication unit 809 allows the electronic device 800 to exchange information/data with other devices through a computer network such as the internet and/or various telecommunication networks.

The computing unit 801 may be a variety of general and/or special purpose processing components having processing and computing capabilities. Some examples of computing unit 801 include, but are not limited to, a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), various specialized Artificial Intelligence (AI) computing chips, various computing units running machine learning model algorithms, a Digital Signal Processor (DSP), and any suitable processor, controller, microcontroller, etc. The computing unit 801 performs the various methods and processes described above, such as an alarm method. For example, in some embodiments, the alarm method may be implemented as a computer software program tangibly embodied on a machine-readable medium, such as the storage unit 808. In some embodiments, part or all of the computer program may be loaded and/or installed onto the electronic device 800 via the ROM 802 and/or the communication unit 809. When a computer program is loaded into RAM803 and executed by computing unit 801, one or more steps of the alarm method described above may be performed. Alternatively, in other embodiments, the computing unit 801 may be configured to perform the alarm method by any other suitable means (e.g., by means of firmware).

Various implementations of the systems and techniques described here above can be implemented in digital electronic circuitry, integrated circuit systems, field Programmable Gate Arrays (FPGAs), application Specific Integrated Circuits (ASICs), application Specific Standard Products (ASSPs), systems On Chip (SOCs), complex Programmable Logic Devices (CPLDs), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs, the one or more computer programs may be executed and/or interpreted on a programmable system including at least one programmable processor, which may be a special purpose or general-purpose programmable processor, that may receive data and instructions from, and transmit data and instructions to, a storage system, at least one input device, and at least one output device.

Program code for carrying out methods of the present disclosure may be written in any combination of one or more programming languages. These program code may be provided to a processor or controller of a general purpose computer, special purpose computer, or other programmable data processing apparatus such that the program code, when executed by the processor or controller, causes the functions/operations specified in the flowchart and/or block diagram to be implemented. The program code may execute entirely on the machine, partly on the machine, as a stand-alone software package, partly on the machine and partly on a remote machine or entirely on the remote machine or server.

In the context of this disclosure, a machine-readable medium may be a tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. The machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. The machine-readable medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

To provide for interaction with a user, the systems and techniques described here can be implemented on a computer having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a keyboard and pointing device (e.g., a mouse or trackball) by which a user can provide input to the computer. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form, including acoustic input, speech input, or tactile input.

The systems and techniques described here can be implemented in a computing system that includes a background component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such background, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), wide Area Networks (WANs), and the internet.

The computer system may include a client and a server. The client and server are typically remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other. The server may be a cloud server, a server of a distributed system, or a server incorporating a blockchain.

Artificial intelligence is the discipline of studying the process of making a computer mimic certain mental processes and intelligent behaviors (e.g., learning, reasoning, thinking, planning, etc.) of a person, both hardware-level and software-level techniques. Artificial intelligence hardware technologies generally include technologies such as sensors, dedicated artificial intelligence chips, cloud computing, distributed storage, big data processing, and the like; the artificial intelligent software technology mainly comprises a computer vision technology, a voice recognition technology, a natural language processing technology, a machine learning/deep learning technology, a big data processing technology, a knowledge graph technology and the like.

Cloud computing (cloud computing) refers to a technical system that a shared physical or virtual resource pool which is elastically extensible is accessed through a network, resources can comprise servers, operating systems, networks, software, applications, storage devices and the like, and resources can be deployed and managed in an on-demand and self-service mode. Through cloud computing technology, high-efficiency and powerful data processing capability can be provided for technical application such as artificial intelligence and blockchain, and model training.

It should be appreciated that various forms of the flows shown above may be used to reorder, add, or delete steps. For example, the steps recited in the present disclosure may be performed in parallel or sequentially or in a different order, provided that the desired results of the technical solutions of the present disclosure are achieved, and are not limited herein.

The above detailed description should not be taken as limiting the scope of the present disclosure. It will be apparent to those skilled in the art that various modifications, combinations, sub-combinations and alternatives are possible, depending on design requirements and other factors. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present disclosure are intended to be included within the scope of the present disclosure.

Claims

1. An alarm method, comprising:

if yes, generating alarm information;

and sending the alarm information to a set contact party of the target vehicle.

2. The method of claim 1, wherein the determining whether the target vehicle meets an alert condition based on map data, current location data of the target vehicle, last location data, and current traffic of a road on which the target vehicle is located, comprises:

determining the running state of the target vehicle according to the current positioning data of the target vehicle and the last positioning data of the last detection time;

And under the condition that the running state is a static state, determining whether the target vehicle meets an alarm condition according to the map data, the current positioning data and the current traffic of the road where the target vehicle is located.

3. The method of claim 2, wherein the determining whether the target vehicle satisfies an alarm condition based on map data, the current location data, and a current traffic volume of a road on which the target vehicle is located comprises:

acquiring target road data and target parking area surface data from the map data;

4. The method of claim 1, wherein the determining whether the target vehicle meets an alert condition based on map data, current location data of the target vehicle, last location data, and current traffic of a road on which the target vehicle is located, comprises:

Under the condition that the safety detection requirement is acquired, determining whether the target vehicle meets an alarm condition according to the map data, the current positioning data of the target vehicle, the last positioning data and the current traffic of the road where the target vehicle is located.

5. The method of claim 4, wherein the obtaining a security detection requirement comprises at least one of:

if the current time is identified to reach the set safety detection time.

6. The method of claim 1, wherein the generating alarm information comprises:

7. The method of claim 1, wherein the generating alarm information comprises:

outputting alarm inquiry information to a driver of the target vehicle;

And generating alarm information under the condition that the response information of the alarm inquiry information is not acquired.

8. The method of claim 1, further comprising:

determining whether a peer vehicle of the target vehicle exists in a road where the target vehicle is located;

if so, sending the alarm information to the set contact party of the target vehicle, and simultaneously sending the assistance information comprising the identification information of the target vehicle and the current positioning data to the peer vehicle.

9. An alarm device, comprising:

the warning condition determining module is used for determining whether the target vehicle meets the warning condition according to the map data, the current positioning data of the target vehicle, the last positioning data and the current traffic of the road where the target vehicle is located;

the alarm information generation module is used for generating alarm information if the alarm information is met;

and the alarm information sending module is used for sending the alarm information to a set contact party of the target vehicle.

10. The apparatus of claim 9, wherein the alarm condition determination module comprises:

a running state determining unit for determining a running state of a target vehicle according to current positioning data of the target vehicle and last positioning data of last detection time;

And the alarm condition determining unit is used for determining whether the target vehicle meets the alarm condition according to the map data, the current positioning data and the current traffic of the road where the target vehicle is located under the condition that the running state is in a static state.

11. The device according to claim 10, wherein the alarm condition determination unit is specifically configured to:

12. The apparatus of claim 9, wherein the alarm condition determination is specifically for:

13. The apparatus of claim 12, further comprising:

and recognizing that the current time reaches the set safety detection time.

14. The apparatus of claim 9, wherein the alarm information generation module is specifically configured to:

15. The apparatus of claim 9, wherein the alarm information generation module is further specifically configured to:

outputting alarm inquiry information to a driver of the target vehicle;

16. The apparatus of claim 9, further comprising:

the peer-to-peer vehicle determining module is used for determining whether the peer-to-peer vehicle of the target vehicle exists in a road where the target vehicle is located;

And the assistance information sending module is used for sending the alarming information to the set contact party of the target vehicle and sending the assistance information comprising the identification information and the current positioning data of the target vehicle to the peer vehicle at the same time if the information exists.

17. An electronic device, comprising:

at least one processor; and

a memory communicatively coupled to the at least one processor; wherein,,

the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the alarm method of any one of claims 1-8.

18. A non-transitory computer readable storage medium storing computer instructions for causing a computer to perform the alarm method of any one of claims 1-8.

19. A computer program product comprising a computer program which, when executed by a processor, implements the alarm method according to any of claims 1-8.