CN111055851B

CN111055851B - Automatic driving monitoring alarm system, client and server

Info

Publication number: CN111055851B
Application number: CN201911232181.XA
Authority: CN
Inventors: 林辰; 侯广大; 王秀峰; 李景才; 黄淋淋
Original assignee: Suzhou Zhijia Technology Co Ltd
Current assignee: Suzhou Zhijia Technology Co Ltd
Priority date: 2019-12-05
Filing date: 2019-12-05
Publication date: 2021-11-16
Anticipated expiration: 2039-12-05
Also published as: CN111055851A

Abstract

The embodiment of the specification discloses an automatic driving monitoring alarm system, a client and a server. The system comprises a radio frequency device, an alarm processing device and a memory, wherein the radio frequency device is used for receiving vehicle acquisition information and sending the vehicle acquisition information to the alarm processing device and the memory; the warning processing device is used for calculating vehicle information according to the vehicle acquisition information; the vehicle information processing device is also used for judging whether the vehicle information triggers a corresponding alarm rule in the memory or not, and sending alarm information to the alarm platform when triggering is determined; a memory for storing configured alarm rules; the vehicle information acquisition module is also used for storing vehicle acquisition information and vehicle information; the alarm platform is used for configuring alarm rules; and the alarm module is also used for judging whether an alarm rule corresponding to the alarm information exists or not, and pushing the alarm information according to the alarm rule when the alarm rule exists. By utilizing the embodiment of the specification, the vehicle behavior can be calculated and predicted in real time, and meanwhile, alarm information can be sent to a responsible person in a cockpit in time when an emergency occurs, so that the occurrence of danger can be greatly reduced.

Description

Automatic driving monitoring alarm system, client and server

Technical Field

The embodiment scheme of the specification belongs to the technical field of automatic driving, and particularly relates to a monitoring alarm system, a client and a server for automatic driving.

Background

In recent years, with the rapid advancement of graphic image technology and the rapid development of technologies such as machine learning artificial intelligence, the automatic driving technology has advanced from the theoretical assumption stage to the quasi-terrestrial and quasi-commercial stage.

However, due to the limited network bandwidth, the current data for automatic driving is usually stored off-line, and an algorithm designer analyzes the data according to the data derived off-line. Therefore, the integrity of data of the vehicle in the driving process cannot be guaranteed, and whether the vehicle has problems in the driving process can be known only through off-line analysis, so that when the abnormal condition of the vehicle state occurs in the driving process, only the auxiliary operation of a driver can be relied on, and a great deal of danger is caused.

Therefore, there is a need in the art for a solution that can more effectively reduce the risk during driving.

Disclosure of Invention

The embodiment of the specification aims to provide an automatic driving monitoring alarm system, a client and a server, which can calculate and predict vehicle behaviors in real time and can inform related personnel in real time when an emergency occurs, so that the occurrence of danger can be greatly reduced.

The monitoring and alarming system, the client and the server for automatic driving provided by the specification are realized in the following modes:

an autonomous driving monitoring warning system comprising:

the radio frequency device is used for receiving vehicle acquisition information and sending the vehicle acquisition information to the alarm processing device and the memory;

the warning processing device is used for receiving the vehicle acquisition information sent by the radio frequency device and calculating vehicle information according to the vehicle acquisition information; the vehicle information processing device is also used for judging whether the vehicle information triggers a corresponding alarm rule in a memory or not, and sending alarm information to an alarm platform when the alarm rule is determined to be triggered; the vehicle information is also sent to a memory, and the vehicle information comprises vehicle behavior information and vehicle state information;

a memory for storing configured alarm rules; the vehicle information acquisition module is also used for storing the received vehicle acquisition information and the vehicle information;

the alarm platform is used for configuring alarm rules; and the alarm processing device is also used for receiving the alarm information sent by the alarm processing device, judging whether an alarm rule corresponding to the alarm information exists or not, and pushing the alarm information according to the alarm rule when the alarm rule exists.

In another embodiment of the system provided by the present specification, the receiving vehicle collection information by the radio frequency device includes at least one of: a fourth generation mobile information system, a fifth generation mobile information system, and a wireless network.

In another embodiment of the system provided in this specification, the alarm processing apparatus includes:

the first processor is used for calculating vehicle information in real time according to the vehicle acquisition information to obtain real-time vehicle information;

and the second processor is used for storing the vehicle acquisition information, calculating the vehicle information in an off-line mode according to the vehicle acquisition information and obtaining the off-line vehicle information.

In another embodiment of the system provided in this specification, the system further includes:

the checking device is used for receiving the real-time vehicle information and the off-line vehicle information and verifying whether the vehicle acquisition information is correct or not according to the real-time vehicle information and the off-line vehicle information.

In another embodiment of the system provided in this specification, the alarm processing apparatus is further configured to:

and predicting vehicle information according to the vehicle acquisition information to obtain vehicle prediction information.

and the display is used for visually displaying system information, and the system information comprises vehicle acquisition information, vehicle information and alarm information.

An autonomous driving monitoring warning system comprising:

the system comprises a collecting device, a remote server and a monitoring device, wherein the collecting device is used for obtaining vehicle collecting information and sending the vehicle collecting information to the remote server so that the server calculates vehicle information according to the received vehicle collecting information, judges whether the vehicle information triggers an alarm rule or not, obtains alarm information when the alarm rule is triggered, and pushes the alarm information according to the alarm rule corresponding to the alarm information, and the vehicle information comprises vehicle behavior information and vehicle state information;

and the receiving equipment is used for receiving the alarm information pushed by the server.

An automatic driving monitoring alarm system comprises a client and a server,

the client is used for acquiring vehicle acquisition information and sending the vehicle acquisition information to a remote server; the alarm information pushing device is also used for receiving alarm information pushed by the server;

the server is used for receiving vehicle acquisition information and calculating vehicle information according to the vehicle acquisition information; the vehicle information processing device is also used for judging whether the vehicle information triggers an alarm rule or not, and acquiring alarm information when the alarm rule is determined to be triggered; and the system is also used for judging whether an alarm rule corresponding to the alarm information exists or not, and pushing the alarm information to the client according to the alarm rule when the alarm rule exists, wherein the vehicle information comprises vehicle behavior information and vehicle state information.

A server comprising a processor and a memory for storing processor-executable instructions that when executed by the processor implement:

receiving vehicle acquisition information;

calculating vehicle information according to the vehicle acquisition information, wherein the vehicle information comprises vehicle behavior information and vehicle state information;

judging whether the vehicle information triggers an alarm rule or not;

acquiring alarm information when the alarm rule is determined to be triggered;

judging whether an alarm rule corresponding to the alarm information exists or not;

and when the alarm information exists, pushing the alarm information according to the alarm rule.

A client comprising a processor and a memory for storing processor-executable instructions, the instructions when executed by the processor result in:

acquiring vehicle acquisition information, and sending the vehicle acquisition information to a remote server so that the server calculates vehicle information according to the received vehicle acquisition information, judges whether the vehicle information triggers an alarm rule, acquires alarm information when the alarm rule is determined to be triggered, and pushes the alarm information according to the alarm rule corresponding to the alarm information, wherein the vehicle information comprises vehicle behavior information and vehicle state information;

and receiving the pushed alarm information.

The specification provides an automatic driving monitoring alarm system, a client and a server. In some embodiments, vehicle information is calculated and predicted in real time according to the received vehicle acquisition information, so that the integrity of data of the vehicle in the driving process can be ensured, and abnormal conditions in the driving process can be found in time. Whether the vehicle information triggers the alarm rule or not and whether the alarm rule corresponding to the alarm information exists or not are judged, related personnel can be timely notified when an emergency occurs, and therefore possible danger can be avoided to the greatest extent. By adopting the implementation scheme provided by the specification, the vehicle behavior can be calculated and predicted in real time, and meanwhile, alarm information can be sent to a responsible person in a cockpit in time when an emergency occurs, so that the occurrence of danger can be greatly reduced.

Drawings

In order to more clearly illustrate the embodiments of the present specification or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly introduced below, it is obvious that the drawings in the following description are only some embodiments described in the present specification, and for those skilled in the art, other drawings can be obtained according to the drawings without any creative effort.

FIG. 1 is a schematic view of a scenario of one embodiment of an autonomous driving monitoring warning system provided herein;

FIG. 2 is a schematic view of another embodiment of an automated driving monitoring warning system provided herein;

FIG. 3 is a schematic view of another embodiment of an automated driving monitoring warning system provided herein;

FIG. 4 is a schematic flow chart diagram illustrating one embodiment of implementing the functionality of an automatic driving monitoring warning system provided herein;

fig. 5 is a block diagram of a hardware configuration of an embodiment of an autopilot data processing server provided in the present specification.

Detailed Description

In order to make those skilled in the art better understand the technical solutions in the present specification, the technical solutions in the embodiments of the present specification will be clearly and completely described below with reference to the drawings in the embodiments of the present specification, and it is obvious that the described embodiments are only a part of the embodiments in the present specification, and not all of the embodiments. All other embodiments that can be obtained by a person skilled in the art on the basis of one or more embodiments of the present description without inventive step shall fall within the scope of protection of the embodiments of the present description.

Because of the limited network bandwidth, the current automatic driving data is usually stored in an off-line mode, and algorithm designers analyze the data derived from the off-line mode, so that the integrity of the data of the vehicle in the driving process cannot be guaranteed, and whether the vehicle has problems in the driving process can be known only through off-line analysis, so that when the vehicle state is abnormal in the driving process, the driver can only operate the vehicle in an auxiliary mode, and a great deal of danger is caused.

The monitoring and alarming system, the client and the server for automatic driving provided by the specification can not only ensure the integrity of data of the vehicle in the driving process, but also find abnormal conditions in the driving process in time by receiving the vehicle acquisition information and calculating and predicting the vehicle information in real time according to the vehicle acquisition information. Whether the vehicle information triggers the alarm rule or not and whether the alarm rule corresponding to the alarm information exists or not are judged, related personnel can be timely notified when an emergency occurs, and therefore possible danger can be avoided to the greatest extent. By adopting the implementation scheme provided by the specification, the vehicle behavior can be calculated and predicted in real time, and meanwhile, alarm information can be sent to a responsible person in a cockpit in time when an emergency occurs, so that the occurrence of danger can be greatly reduced.

The following describes an embodiment of the present disclosure with a specific application scenario as an example. Specifically, fig. 1 is a schematic view of a scene of an embodiment of an automatic driving monitoring alarm system provided in this specification. Although the present specification provides the method steps or system structures illustrated in the following examples or figures, more or less steps or modules may be included in the method or system based on conventional or non-inventive efforts. In the case of steps or structures which do not logically have the necessary cause and effect relationship, the execution sequence of the steps or the module structure of the system is not limited to the execution sequence or the module structure shown in the embodiment or the drawings in this specification. When the described method or module structure is applied to a device, a server or an end product in practice, the method or module structure according to the embodiment or the figures may be executed sequentially or in parallel (for example, in a parallel processor or multi-thread processing environment, or even in an implementation environment including distributed processing and server clustering).

It should be noted that the automatic driving monitoring and warning system in the embodiment of the present specification may include a distributed system, software (application), a module, a server, a client, and the like, and incorporate devices implementing hardware as necessary. As used hereinafter, the term "unit" or "module" may be a combination of software and/or hardware that implements a predetermined function. While the system described in the embodiments of this specification is preferably implemented in software, implementations in hardware or a combination of software and hardware are also possible and contemplated.

Furthermore, the following description of the embodiments does not limit the technical solutions in other extensible application scenarios based on the present description. In a specific embodiment, as shown in fig. 1, an automatic driving monitoring and warning system provided in an embodiment of the present disclosure may include a radio frequency device 102, a warning processing device 104, a memory 106, and a warning platform 108, where:

the radio frequency device 102 may be configured to receive vehicle acquisition information and send the vehicle acquisition information to an alarm processing device and a memory;

the alarm processing device 104 may receive the vehicle acquisition information sent by the radio frequency device, and calculate vehicle information according to the vehicle acquisition information; the vehicle information processing device is also used for judging whether the vehicle information triggers a corresponding alarm rule in a memory or not, and sending alarm information to an alarm platform when the alarm rule is determined to be triggered; the vehicle information is also sent to a memory, and the vehicle information comprises vehicle behavior information and vehicle state information;

a memory 106, which may be used to store configured alarm rules; the vehicle information acquisition module is also used for storing the received vehicle acquisition information and the vehicle information;

an alarm platform 108, which can configure alarm rules; and the alarm processing device is also used for receiving the alarm information sent by the alarm processing device, judging whether an alarm rule corresponding to the alarm information exists or not, and pushing the alarm information according to the alarm rule when the alarm rule exists.

In one embodiment of the present description, the vehicle collection information may include vehicle radar information, camera information, vehicle control information, vehicle scene information, driving information, vehicle surrounding environment information, and the like. For example, the vehicle acquisition information may include GPS (Global Positioning System) information, fuel consumption, tire pressure, vehicle speed, real-time driving picture, mileage, driving time, vehicle scene, weather, and the like.

In one embodiment of the present description, a vehicle monitoring and warning client (hereinafter, may be simply referred to as "client") corresponding to an automatic driving monitoring and warning system may be installed on a driven vehicle. The client side can comprise a collecting device, and the collecting device can be used for collecting some information in the vehicle driving process, such as vehicle radar information, camera information, vehicle control information, vehicle scene information, driving information, vehicle surrounding environment information and the like. The client side can also comprise a communication module which can be in communication connection with the automatic driving monitoring alarm system to realize data transmission with the automatic driving monitoring alarm system. For example, in some implementation scenarios, a client corresponding to the automatic driving monitoring and warning system is installed on the driving vehicle, and the vehicle is started to run by starting the client installed on the driving vehicle, so that the client can be used to automatically acquire information such as vehicle radar information, camera information, vehicle control information, oil consumption, speed mileage, running duration and the like.

In an embodiment of the present description, after acquiring information during a driving process of a vehicle, a client installed on the driving vehicle may upload the information to an automatic driving monitoring and warning system, so that the automatic driving monitoring and warning system performs corresponding processing.

In some embodiments of the present description, the radio frequency device 102 may receive vehicle acquisition information uploaded by a client in real time, and send the vehicle acquisition information to the alarm processing device 104, so that the alarm processing device 104 calculates and predicts vehicle behaviors according to the vehicle acquisition information, and provides a guarantee for safe driving of a vehicle.

In some embodiments of the present description, the radio frequency device 102 may receive vehicle acquisition information uploaded by the client in real time, and send the vehicle acquisition information to the memory 106, so that vehicle information may be calculated in an offline manner according to the vehicle acquisition information stored in the memory 106, thereby ensuring integrity of data during a driving process of the vehicle.

In one embodiment of the present disclosure, the receiving the vehicle collection information by the rf device 102 may include at least one of the following: a fourth generation mobile information system (4 g), a fifth generation mobile information system (5 g), a wireless network, and the like. For example, in some implementation scenarios, after the vehicle is started, the monitoring and warning client may collect some information of the vehicle during the driving process through the collection device, and then upload the collected information to the automatic driving monitoring and warning system through the 5g network. In some implementation scenes, due to the fact that the bandwidths of the 4g network and the wireless network are limited, the 5g network is adopted when the client uploads the collected information to the background automatic driving monitoring and alarming system, the real-time transmission information amount can be increased, and therefore the possibility of monitoring the super-large-scale automatic driving vehicle group in real time is provided.

In one embodiment of the present disclosure, the warning processing device 104 may calculate the vehicle information according to the vehicle collection information after receiving the vehicle collection information sent by the radio frequency device 102. Wherein the vehicle information may include vehicle behavior information and vehicle state information. The vehicle behavior information may include information that the vehicle has changed due to human factors, such as acceleration, deceleration, left turn, straight running, braking, and the like. The vehicle state information may include some information inherent to the vehicle, such as speed, oil temperature, tire pressure, whether to run on a planned route, and the like.

In one embodiment of the present description, the alert processing apparatus 104 may include a first processor and a second processor. In some embodiments, the first processor may be configured to calculate vehicle information in real time according to the vehicle collection information, and obtain real-time vehicle information. The second processor may be configured to store the vehicle acquisition information, and calculate vehicle information offline according to the vehicle acquisition information to obtain offline vehicle information. For example, in some implementation scenarios, when receiving the vehicle acquisition information sent by the client, the automatic driving monitoring and warning system may send the received vehicle acquisition information to a real-time data processing system such as a flink or storm for real-time calculation. For example, the received vehicle collection information may be sent to a flink real-time data processing system, and the flink system may calculate vehicle information for each minute, 10 minutes, and hour of the vehicle using a real-time computing model. In other implementation scenarios, when receiving the vehicle acquisition information sent by the client, the automatic driving monitoring and warning system may store the received vehicle acquisition information in the memory 106, so that the vehicle information may be calculated offline according to the vehicle acquisition information stored in the memory 106. In some embodiments of the present description, the first processor and the second processor may be the same or a same set of hardware processors. In other embodiments, the first processor and the second processor may have respective processors to perform data processing of corresponding tasks.

It should be noted that, the off-line calculation is understood to mean that all input data is known before the calculation is started, and the input data is not changed. Real-time computation is generally performed on massive data, and generally requires the order of seconds. The real-time calculation can be understood as a type of real-time calculation model aiming at the streaming data, can effectively shorten the time delay of the full-link data stream, calculate logic in real time and balance the calculation cost, and finally effectively meets the service requirement of processing big data in real time. Real-time computing includes features such as real-time and unbounded data streaming, continuous and efficient computing, streaming and real-time data integration, and so on. Real-time and unbounded data flow may be understood as long and continuous integration of data flow into a real-time computing system due to the persistence of the data occurrence. For example, for a website's access click log stream, its click log stream will always be generated and entered into the real-time computing system as long as the website does not close, so the data is real-time and not terminated (unbounded) for the streaming system. Real-time computing can be understood as an "event-triggered" computing mode, where the triggering source is unbounded streaming data, and since real-time computing is initiated immediately and performs a computing task once new streaming data enters real-time computing, the whole real-time computing is a continuous computing. Streaming and real-time data integration may be understood as the result of a calculation triggered by streaming data to a real-time calculation, which may be written directly to the destination data storage. For example, the calculated report data is directly written into the database for report display, so that the calculation result of the stream data can be continuously written into the destination data storage like the stream data.

In an embodiment of the present disclosure, the alarm processing device 104 may be further configured to determine whether the vehicle information triggers a corresponding alarm rule in a memory, and send an alarm message to the alarm platform 108 when determining that the alarm rule is triggered. For example, in some implementation scenarios, after the vehicle information is calculated according to the vehicle acquisition information, it may be determined whether the vehicle information triggers a preset alarm rule, and when the triggering is determined, an alarm message may be sent to the alarm platform, so that the alarm platform performs alarm processing. The alarm information may include information that the vehicle oil temperature is abnormal, the vehicle deviates from a normal track, the vehicle is overspeed for a long time, and the like. For example, after the real-time flink system calculates the vehicle information of each minute, 10 minutes and hour of the vehicle by using the real-time calculation model, whether the vehicle information triggers a preset alarm rule can be judged, and once the input vehicle information triggers the alarm rule, the alarm processing device can send a message to the alarm platform.

In one embodiment of the present description, the warning rules may be understood as rules for judging the occurrence of an abnormality during the running of the vehicle. For example, an abnormality may occur when the tire pressure decreases to 1.8bar during the running of the vehicle, and an alarm rule that the tire pressure is less than 1.8bar may be set at this time. For another example, when the oil temperature and the oil consumption reach certain values, the vehicle may be abnormal, and at this time, the oil temperature and the oil consumption may be set as an alarm rule. In some embodiments, the warning rule may be stored in the memory 106 in advance, or an abnormal information value corresponding to an abnormal condition occurring in real time during a driving process may be stored in the memory 106 as a warning rule configuration, so that a rule base may be perfected. In some embodiments, the alert rules may include transient rules and rules for a preset time period. The transient rule may be understood as a rule corresponding to a certain time. The rule of the preset time period can be understood as a corresponding rule in a certain time period. For example, in some implementation scenarios, the alarm rule may include that the oil temperature rises by 120 ℃ within 10 minutes and is kept for a long time, may also include that the oil temperature is not recovered after 10 minutes of departing from the preset trajectory, and may also include that the tire pressure drops to 1.2bar at a certain time, and the like.

In an embodiment of the present disclosure, the warning processing apparatus 104 may be further configured to predict vehicle information according to the vehicle collection information, and obtain vehicle prediction information. For example, in some implementations, the vehicle information may be predicted by extracting feature information from the vehicle collected information and then matching the feature information with information in a feature information base. For example, the indicator light and the direction information may be extracted from the vehicle information, and then the indicator light and the direction information may be compared with information in the feature information base, and when the matching degree of the indicator light and the direction information with the feature information of "turning left" reaches a preset value, the current vehicle behavior may be predicted to be turning left, and when the matching degree of the indicator light and the direction information with the feature information of "turning right" reaches a preset value, the current vehicle behavior may be predicted to be turning right. For another example, the speed information extracted from the vehicle information is compared with the speed in the feature information base, so that it is possible to predict that the current vehicle will accelerate or decelerate or stop. The characteristic information base may store characteristic information of different behaviors and different states of the vehicle during driving in advance. The preset value can be set according to actual scenes, such as 98%, 95%, 90%, and the like. In some embodiments, after obtaining the vehicle prediction information, the alarm processing device may determine whether the vehicle prediction information triggers an alarm rule, and send alarm information to an alarm platform when determining that the alarm rule is triggered; and the alarm platform judges whether an alarm rule corresponding to the alarm information exists or not, and pushes the alarm information according to the alarm rule when the alarm rule exists. In other embodiments, after obtaining the vehicle prediction information, the warning processing device may send the vehicle prediction information to the memory for storage, where the vehicle prediction information may include vehicle behavior information and vehicle state information.

In the embodiment of the present specification, the alarm processing device 104 calculates and predicts the vehicle information according to the vehicle acquisition information, so as to ensure the integrity of data of the vehicle in the driving process. By judging whether the vehicle information triggers the alarm rule or not, the abnormal condition in the driving process can be found in time, so that the occurrence of danger can be effectively reduced.

In one embodiment of the present description, the memory 106 may be used to store configured alert rules and may also be used to store received vehicle collection information, vehicle information, and vehicle forecast information.

In one embodiment of the present description, the warning rule may be understood as a warning manner when an abnormal condition occurs in the vehicle. For example, in some implementations, the alarm rule may include a manner in which the alarm information is sent to a person in charge or a system monitoring person in the cockpit via a short message, a telephone call, an email, or the like. In some embodiments, the alarm rules may be pre-stored in the alarm rule base, or the alarm rules may be added to the alarm rule base according to the real-time alarm condition. In some embodiments, the alarm rules in the alarm rule base may be associated with the alarm information in advance. For example, the alarm rule corresponding to the oil temperature alarm information may include sending the alarm rule to a person in charge in the cockpit by a telephone, or may include sending the alarm rule to a system monitoring person by an email, and then the system monitoring person notifies the person in charge in the cockpit by a telephone, or may include displaying the alarm rule on a visual interface, or the like.

In an embodiment of this specification, after receiving the alarm information sent by the alarm processing device, the alarm platform 108 may determine whether an alarm rule corresponding to the alarm information exists, and push the alarm information according to the alarm rule when determining that the alarm rule exists. For example, in some implementation scenarios, when the alarm platform 108 receives the alarm information of the vehicle deviating from the normal trajectory sent by the alarm processing device, because the alarm rule corresponding to the alarm information of the vehicle deviating from the normal trajectory in the alarm platform is sent to the system monitoring staff first in an email manner, and then the system monitoring staff notifies the responsible person in the cockpit in a telephone manner, at this time, the alarm platform may send the alarm information of the vehicle deviating from the normal trajectory to the system monitoring staff first in the email manner, and then the system monitoring staff notifies the responsible person in the cockpit in the telephone manner, so that the responsible person in the cockpit determines whether to take over the vehicle control right manually. In other implementation scenarios, when the alarm platform 108 receives the alarm information of the vehicle over-speed for a long time sent by the alarm processing device, since the alarm rule corresponding to the alarm information of the vehicle over-speed for a long time in the alarm platform is to notify the responsible person in the cockpit in a telephone manner, at this time, the alarm platform can notify the responsible person in the cockpit of the alarm information of the vehicle over-speed for a long time in a telephone manner, so that the responsible person in the cockpit can judge whether to take over the control right of the vehicle manually.

In some implementation scenarios, after receiving the alarm message, the alarm platform may send the alarm message to a vehicle monitoring alarm client corresponding to the automatic driving monitoring alarm system, and the vehicle monitoring alarm client may send a prompt message after receiving the alarm message, so that a person in charge in the cockpit can determine whether to take over the vehicle control right manually. Wherein, the prompt message can include alarm bell prompt tone, flash alarm lamp and play alarm bell prompt tone etc.. In other implementation scenarios, after receiving the alarm message, the alarm platform may send the alarm message to a vehicle monitoring alarm client corresponding to the automatic driving monitoring alarm system, and the vehicle monitoring alarm client may send a prompt message and simultaneously visually display current abnormal information, so that a person in charge in the cockpit can determine whether to take over the vehicle control right manually.

In an embodiment of this specification, the alarm rule may further include that the alarm information of the same abnormal condition is not sent within a preset time period, or the alarm information is not sent any more when the sending times of the same alarm information exceed a preset time number. For example, in some implementation scenarios, the alarm rule includes that the same alarm information is not repeatedly sent within 5 minutes, the same alarm information is not sent again more than 3 times, and the like. It should be noted that the above 5 minutes, 3 times, and the like are only exemplary descriptions, and the preset time period and the preset number of times may be set according to an actual scene, which is not limited in this specification.

In some embodiments of the present description, the alarm processing device and the alarm platform may be processors of the same hardware or the same set of hardware. In other embodiments, the alarm processing device and the alarm platform may have respective processors to perform data processing of corresponding tasks.

In one embodiment of the present disclosure, the automatic driving monitoring and warning system may further include a verification device. In some embodiments, the verification device may be configured to receive the real-time vehicle information and the offline vehicle information, and verify whether the vehicle collection information is correct according to the real-time vehicle information and the offline vehicle information. For example, in some implementation scenarios, the correctness of the system data can be cross-verified by comparing the data entered in real time with the data stored offline on the vehicle, so that the occurrence of danger can be greatly reduced.

In one embodiment of the present description, the autonomous driving monitoring warning system may further include a display. In some embodiments, the display may be used to visually present system information, including vehicle collection information, vehicle information, and alarm information. For example, in some implementation scenarios, the display can display the track preset for the vehicle and the vehicle track information predicted in real time according to the vehicle acquisition information in real time, so that whether the vehicle track is abnormal or not can be intuitively and timely known through the visual interface, and therefore the possible danger is avoided to the greatest extent, and the driving safety is improved.

According to the automatic driving monitoring and alarming system provided by the specification, vehicle information is calculated and predicted in real time according to vehicle acquisition information by receiving the vehicle acquisition information, so that the integrity of data of a vehicle in a driving process can be guaranteed, and abnormal conditions in the driving process can be found in time. Whether the vehicle information triggers the alarm rule or not and whether the alarm rule corresponding to the alarm information exists or not are judged, related personnel can be timely notified when an emergency occurs, and therefore possible danger can be greatly reduced.

Based on the above description of the embodiments, the present specification further provides an automatic driving monitoring and warning system that can be applied to the client side. Fig. 2 is a schematic view of another embodiment of an automatic driving monitoring alarm system provided in the present specification. Specifically, in one embodiment, the system may include: collection system 202, receiving equipment 204, wherein:

the acquisition device 202 may be configured to acquire vehicle acquisition information, and may also be configured to send the vehicle acquisition information to a remote server, so that the server calculates vehicle information according to the received vehicle acquisition information, and determines whether the vehicle information triggers an alarm rule, and when it is determined that the alarm rule is triggered, acquires alarm information, and pushes the alarm information according to an alarm rule corresponding to the alarm information, where the vehicle information includes vehicle behavior information and vehicle state information;

and the receiving device 204 may be configured to receive the alarm information pushed by the server.

In one embodiment of the present description, a vehicle monitoring and warning client (hereinafter, may be simply referred to as "client") corresponding to an automatic driving monitoring and warning system may be installed on a driven vehicle. The server may include a single computer device, or may include a server cluster formed by a plurality of servers, or a server structure of a distributed system. The server and the client described in this specification include different information processors logically divided.

In an embodiment of this specification, the collecting device 202 may be configured to collect some information of the vehicle in the driving process, such as vehicle radar information, camera information, vehicle control information, vehicle scene information, driving information, vehicle surrounding environment information, and the like, and then send the collected information to the background monitoring and warning system for corresponding processing, so as to determine whether an abnormal condition occurs in the driving process of the vehicle, and when it is determined that the abnormal condition occurs, the background monitoring and warning system may send warning information to the receiving device 204 included in the client, so that a person in charge in the cockpit determines whether to take over the vehicle control right manually.

In some implementation scenarios, after the background monitoring and warning system sends the warning information to the receiving device 204 included in the client, the client may display the warning information through the display, or may visually display the warning information while sending the warning sound prompt, so that a person in charge in the cockpit can visually see the warning information, and thus, whether to take over the control right of the vehicle manually is determined.

It should be noted that the description of the system embodiment described above may also include other embodiments, and the specific implementation may refer to the description of the related system embodiment, which is not described herein again.

Based on the above description of the embodiments, the present specification also provides an implementation of the automatic driving monitoring and warning system that can be described from the perspective of client-server interaction. Fig. 3 is a schematic view of another embodiment of an automatic driving monitoring alarm system provided in the present specification. Specifically, in an embodiment, the system may include a client and a server, where:

the client side can be used for acquiring vehicle acquisition information and sending the vehicle acquisition information to a remote server; the alarm information pushing device can also be used for receiving alarm information pushed by the server;

the server can be used for receiving vehicle acquisition information and calculating vehicle information according to the vehicle acquisition information; the method can also be used for judging whether the vehicle information triggers an alarm rule or not, and acquiring alarm information when the alarm rule is determined to be triggered; the method and the device can also be used for judging whether an alarm rule corresponding to the alarm information exists or not, and pushing the alarm information to the client according to the alarm rule when the alarm rule exists, wherein the vehicle information comprises vehicle behavior information and vehicle state information.

Based on the above-mentioned automatic driving monitoring and warning system, one or more embodiments of the present specification may further include an automatic driving data processing method for implementing the function of the automatic driving monitoring and warning system. Fig. 4 is a schematic flow chart diagram illustrating an embodiment of implementing the function of the automatic driving monitoring warning system provided in this specification, as shown in fig. 4. The specific implementation process may include:

s0: and receiving vehicle acquisition information.

The vehicle acquisition information may include vehicle radar information, camera information, vehicle control information, vehicle scene information, driving information, vehicle surrounding environment information, and the like. For example, the vehicle acquisition information may include GPS (Global Positioning System) information, fuel consumption, tire pressure, vehicle speed, real-time picture, mileage, driving time, vehicle scene, weather, and the like.

In one embodiment of the present description, a vehicle monitoring and warning client (hereinafter, may be simply referred to as "client") corresponding to an automatic driving monitoring and warning system may be installed on a driven vehicle. For example, in some implementation scenarios, a client corresponding to the automatic driving monitoring and warning system is installed on the driving vehicle, and the vehicle is started to run by starting the client installed on the driving vehicle, so that the client can be used to automatically acquire information such as vehicle radar information, camera information, vehicle control information, oil consumption, speed mileage, running duration and the like. In one embodiment of the present description, the client may send the vehicle collection information to an automatic driving monitoring and warning system. The client side can send vehicle acquisition information to the automatic driving monitoring and alarming system in real time.

In an embodiment of the present disclosure, the automatic driving monitoring and warning system receives vehicle collection information, and may adopt at least one of the following modes: 4g, 5g and a wireless network. For example, in some implementation scenarios, after the vehicle is started, the monitoring and warning client may upload some information during the vehicle driving process to the automatic driving monitoring and warning system through a 5g network. In the embodiment of the specification, because the bandwidths of the 4g network and the wireless network are limited, the 5g network can be preferentially adopted when the client uploads the acquired information to the background automatic driving monitoring and alarming system, so that the real-time transmitted information quantity is more, and the possibility of monitoring a super-large-scale automatic driving vehicle group in real time is provided.

In the embodiment of the specification, the vehicle acquisition information is received, so that guarantee can be provided for subsequent real-time calculation and prediction of vehicle behaviors.

S2: and calculating vehicle information according to the vehicle acquisition information, wherein the vehicle information comprises vehicle behavior information and vehicle state information.

Wherein the vehicle information may include vehicle behavior information and vehicle state information. The vehicle behavior information may include acceleration, deceleration, left turn, straight running, and the like. Vehicle status information may include speed, oil temperature, tire pressure, whether to operate on a planned path, etc.

In one embodiment of the present description, upon receiving vehicle collection information, vehicle information may be calculated based on the vehicle collection information. In some embodiments, the calculating vehicle information according to the vehicle collection information may include: calculating vehicle information in real time according to the vehicle acquisition information to obtain real-time vehicle information; the vehicle acquisition information is stored, and the vehicle information is calculated in an off-line mode according to the vehicle acquisition information to obtain off-line vehicle information; and comparing the real-time vehicle information with the off-line vehicle information to determine whether the vehicle acquisition information is correct. For example, in some implementations, the received vehicle collection information may be sent to a flink real-time data processing system, and the flink system may calculate vehicle information every minute, every 10 minutes, and every hour of the vehicle using a real-time computing model. In other implementation scenarios, the automatic driving monitoring and warning system may store the received vehicle acquisition information when receiving the vehicle acquisition information sent by the client, so that the vehicle information may be calculated in the subsequent offline manner according to the stored vehicle acquisition information. In other implementation scenarios, the received vehicle acquisition information and the obtained real-time vehicle information can be respectively stored, then the vehicle information is calculated in an off-line manner according to the stored vehicle acquisition information to obtain off-line vehicle information, and finally whether the vehicle acquisition information is correct or not can be determined by comparing the real-time vehicle information with the off-line vehicle information.

In an embodiment of the present specification, the method may further include: and predicting vehicle information according to the vehicle acquisition information to obtain vehicle prediction information. For example, in some implementations, the vehicle information may be determined by extracting feature information from the vehicle collected information and then matching the feature information with information in a feature information library. For example, the indicator light and the direction information may be extracted from the vehicle information, and then the indicator light and the direction information may be compared with information in the feature information base, and when the matching degree of the indicator light and the direction information with the feature information of "turning left" reaches a preset value, the current vehicle behavior may be predicted to be turning left, and when the matching degree of the indicator light and the direction information with the feature information of "turning right" reaches a preset value, the current vehicle behavior may be predicted to be turning right. For another example, the speed information extracted from the vehicle information is compared with the speed in the feature information base, so that it is possible to predict that the current vehicle will accelerate or decelerate or stop. The characteristic information base may store characteristic information of different behaviors and different states of the vehicle during driving in advance. The preset value can be set according to actual scenes, such as 98%, 95%, 90%, and the like.

S4: and judging whether the vehicle information triggers an alarm rule or not.

The warning rules can be understood as rules for judging the occurrence of abnormalities in the driving process of the vehicle. For example, an abnormality may occur when the tire pressure decreases to 1.8bar during the running of the vehicle, and an alarm rule that the tire pressure is less than 1.8bar may be set at this time. For another example, when the oil temperature and the oil consumption reach certain values, the vehicle may be abnormal, and at this time, the oil temperature and the oil consumption may be set as an alarm rule. In some embodiments, the warning rule may be pre-stored in the rule model library, or an abnormal information value corresponding to an abnormal condition occurring in real time during the driving process may be configured in the rule model library as the warning rule, so that the rule model library may be perfected.

In some embodiments, the alert rules may include transient rules and rules for a preset time period. The transient rule may be understood as a rule corresponding to a certain time. The rule of the preset time period can be understood as a rule corresponding to a certain time period. For example, in some implementation scenarios, the alarm rule may include that the oil temperature rises by 120 ℃ within 10 minutes and is kept for a long time, may also include that the oil temperature is not recovered after 10 minutes of departing from the preset trajectory, and may also include that the tire pressure drops to 1.2bar at a certain time, and the like.

In an embodiment of the present description, after the vehicle information is calculated according to the vehicle collection information, it may be determined whether the vehicle information triggers a preset warning rule.

S6: and acquiring alarm information when the alarm rule is determined to be triggered.

The alarm information may include information that the vehicle oil temperature is abnormal, the vehicle deviates from a normal track, the vehicle is overspeed for a long time, and the like.

In an embodiment of the present description, after the vehicle information is calculated according to the vehicle acquisition information, it may be determined whether the vehicle information triggers a preset alarm rule, and when the triggering is determined, an alarm message may be sent out, so that the alarm platform performs alarm processing. For example, in some implementation scenarios, after the real-time flink system calculates the vehicle information of each minute, 10 minutes and hour of the vehicle by using the real-time calculation model, it may be determined whether the vehicle information triggers the warning rule, and once the warning rule is triggered, warning information may be sent to the warning platform.

In an embodiment of the present description, after obtaining the alarm information, the alarm information may be sent to a vehicle monitoring alarm client corresponding to the automatic driving monitoring alarm system, and the client may send a prompt message after receiving the prompt message, so that a person in charge in the cockpit determines whether to take over the vehicle control right manually. Wherein, the prompt message can include alarm bell prompt tone, flash alarm lamp and play alarm bell prompt tone etc.. In other implementation scenarios, after the alarm information is acquired, the alarm information can be sent to a vehicle monitoring alarm client corresponding to the automatic driving monitoring alarm system, and the client can display the current abnormal information in a visual manner while sending the prompt information, so that a person in charge in a cockpit can judge whether to take over the control right of the vehicle manually.

S8: and judging whether an alarm rule corresponding to the alarm information exists or not.

In one embodiment of the present description, the warning rule may be understood as a warning manner when an abnormal condition occurs in the vehicle. For example, in some implementations, the alarm rule may include a manner in which the alarm information is sent to a person in charge or a system monitoring person in the cockpit via a short message, a telephone call, an email, or the like. In some embodiments, the alarm rules may be pre-stored in the alarm rule base, or the alarm rules may be added to the alarm rule base according to the real-time alarm condition. In some embodiments, the alarm rules in the alarm rule base may be associated with the alarm information in advance. For example, the alarm rule corresponding to the oil temperature alarm information may include sending the alarm rule to a person in charge in the cockpit in a telephone manner, or may include sending the alarm rule to a system monitoring person in an email manner, and then the system monitoring person notifies the person in charge in the cockpit in the telephone manner.

In an embodiment of the present specification, when it is determined that the alarm rule is triggered, the alarm information may be obtained, and then it is determined whether an alarm rule corresponding to the alarm information exists. For example, in some implementation scenarios, when it is determined that the alarm information obtained when the alarm rule is triggered is that the vehicle deviates from the normal track, it may be determined whether the alarm rule corresponding to the alarm information that the vehicle deviates from the normal track is stored in the alarm rule base. In other implementation scenarios, when the alarm information acquired when the alarm rule is triggered is determined to be the vehicle overspeed for a long time, whether the alarm rule corresponding to the vehicle overspeed alarm information for a long time exists in the alarm rule base can be judged.

S10: and when the alarm information exists, pushing the alarm information according to the alarm rule.

In an embodiment of the present description, when it is determined that an alarm rule corresponding to alarm information exists, the alarm information may be pushed according to the alarm rule. For example, in some implementation scenarios, the alarm information obtained when the alarm rule is triggered is determined to be that the vehicle deviates from the normal track, and the alarm rule corresponding to the alarm information that the vehicle deviates from the normal track and is pre-stored in the alarm rule base is sent to the system monitoring staff by an email mode, and then the system monitoring staff notifies the responsible person in the cockpit by a telephone mode. In other implementation scenarios, the alarm information acquired when the alarm rule is triggered is determined to be that the vehicle is overspeed for a long time, and the alarm rule pre-stored in the alarm rule base and corresponding to the long-time overspeed alarm information of the vehicle is notified to a responsible person in the cab in a telephone manner, so that the responsible person in the cab can be notified of the long-time overspeed alarm information of the vehicle in the telephone manner, and the responsible person can judge whether to take over the control right of the vehicle manually.

In an embodiment of the present specification, the method may further include: predicting vehicle information according to the vehicle acquisition information to obtain vehicle prediction information; correspondingly, judging whether the vehicle prediction information triggers an alarm rule or not; acquiring alarm information when the alarm rule is determined to be triggered; judging whether an alarm rule corresponding to the alarm information exists or not; and when the alarm information exists, pushing the alarm information according to the alarm rule. For example, in some implementation scenarios, the feature information may be extracted from the vehicle acquisition information, and then the feature information is matched with information in the feature information base, so as to predict vehicle information, and after the vehicle information is obtained, it may be determined whether the vehicle information triggers a preset alarm rule, when the alarm rule is determined to be triggered, the alarm information may be obtained, and then it is determined whether an alarm rule corresponding to the alarm information exists, and when the alarm rule exists, the alarm information is pushed according to the alarm rule.

In the embodiment of the specification, the abnormal conditions in the driving process can be found in time by further judging and predicting the vehicle information.

In an embodiment of the present specification, the method may further include: and visually displaying system information, wherein the system information can comprise vehicle acquisition information, vehicle information and alarm information. For example, in some implementation scenes, the track preset for the vehicle and the vehicle track information predicted in real time according to the vehicle acquisition information can be displayed in real time, so that whether the vehicle track is abnormal or not can be intuitively and timely known through a visual interface, the danger which possibly occurs is greatly reduced, and the driving safety is improved.

It should be noted that the above-mentioned execution flow may also include other implementation manners according to the description of the system embodiment, and specific implementation manners may refer to the description of the related system embodiment, which is not described in detail herein.

The method embodiments provided in the present specification may be executed in a mobile terminal, a computer terminal, a server or a similar computing device. Taking an example of the present invention running on a server, fig. 5 is a block diagram of a hardware structure of an embodiment of an automatic driving data processing server provided in this specification, which may be an automatic driving data processing system in the above embodiment. As shown in fig. 5, the server 10 may include one or more (only one shown) processors 100 (the processors 100 may include, but are not limited to, a processing device such as a microprocessor MCU or a programmable logic device FPGA, etc.), a memory 200 for storing data, and a transmission module 300 for communication functions. It will be understood by those skilled in the art that the structure shown in fig. 5 is only an illustration and is not intended to limit the structure of the electronic device. For example, the server 10 may also include more or fewer components than shown in FIG. 5, and may also include other processing hardware, such as a database or multi-level cache, a GPU, or have a different configuration than shown in FIG. 5, for example.

The memory 200 may be used to store software programs and modules of application software, such as program instructions/modules corresponding to the data processing method for automatic driving in the embodiment of the present specification, and the processor 100 executes various functional applications and data processing by running the software programs and modules stored in the memory 200. Memory 200 may include high speed random access memory and may also include non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some examples, memory 200 may further include memory located remotely from processor 100, which may be connected to a computer terminal through a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.

The transmission module 300 is used for receiving or transmitting data via a network. Specific examples of the network described above may include a wireless network provided by a communication provider of the computer terminal. In one example, the transmission module 300 includes a Network adapter (NIC) that can be connected to other Network devices through a base station so as to communicate with the internet. In one example, the transmission module 300 may be a Radio Frequency (RF) module, which is used for communicating with the internet in a wireless manner.

The embodiment of the data processing method for implementing the automatic driving of the automatic driving monitoring and warning system function provided in this specification may be implemented in a computer by a processor executing corresponding program instructions, for example, implemented in a PC end using a c + + language of a windows operating system, implemented in a linux system, or implemented in an intelligent terminal using, for example, android and iOS system programming languages, and implemented in processing logic based on a quantum computer.

The present specification also provides a server that may include a processor and a memory storing processor-executable instructions that, when executed by the processor, implement:

receiving vehicle acquisition information;

judging whether the vehicle information triggers an alarm rule or not;

acquiring alarm information when the alarm rule is determined to be triggered;

Accordingly, the present specification also provides a client, which may include a processor and a memory for storing processor-executable instructions, the processor implementing, when executing the instructions:

and receiving the pushed alarm information.

For specific implementation of the above embodiments, reference may be made to the description of related method or system embodiments, which are not described herein again.

The foregoing description has been directed to specific embodiments of this disclosure. Other embodiments are within the scope of the following claims. In some cases, the actions or steps recited in the claims may be performed in a different order than in the embodiments and still achieve desirable results. In addition, the processes depicted in the accompanying figures do not necessarily require the particular order shown, or sequential order, to achieve desirable results. In some embodiments, multitasking and parallel processing may also be possible or may be advantageous.

The method or system provided by the present specification and described in the foregoing embodiments may implement the service logic through a computer program and record the service logic on a storage medium, where the storage medium may be read and executed by a computer, so as to implement the effect of the solution described in the embodiments of the present specification.

The storage medium may include a physical device for storing information, and typically, the information is digitized and then stored using an electrical, magnetic, or optical media. The storage medium may include: devices that store information using electrical energy, such as various types of memory, e.g., RAM, ROM, etc.; devices that store information using magnetic energy, such as hard disks, floppy disks, tapes, core memories, bubble memories, and usb disks; devices that store information optically, such as CDs or DVDs. Of course, there are other ways of storing media that can be read, such as quantum memory, graphene memory, and so forth.

It should be noted that descriptions of the apparatus, the computer storage medium, and the system described above according to the related method embodiments may also include other embodiments, and specific implementations may refer to descriptions of corresponding method embodiments, which are not described in detail herein.

The embodiments in the present application are described in a progressive manner, and the same and similar parts among the embodiments can be referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for the hardware + program class embodiment, since it is substantially similar to the method embodiment, the description is simple, and the relevant points can be referred to the partial description of the method embodiment.

The embodiments of this specification are not limited to what must be in compliance with industry communication standards, standard computer data processing and data storage rules, or the description of one or more embodiments of this specification. Certain industry standards, or implementations modified slightly from those described using custom modes or examples, may also achieve the same, equivalent, or similar, or other, contemplated implementations of the above-described examples. The embodiments using the modified or transformed data acquisition, storage, judgment, processing and the like can still fall within the scope of the alternative embodiments of the embodiments in this specification.

In the 90 s of the 20 th century, improvements in a technology could clearly distinguish between improvements in hardware (e.g., improvements in circuit structures such as diodes, transistors, switches, etc.) and improvements in software (improvements in process flow). However, as technology advances, many of today's process flow improvements have been seen as direct improvements in hardware circuit architecture. Designers almost always obtain the corresponding hardware circuit structure by programming an improved method flow into the hardware circuit. Thus, it cannot be said that an improvement in the process flow cannot be realized by hardware physical modules. For example, a Programmable Logic Device (PLD), such as a Field Programmable Gate Array (FPGA), is an integrated circuit whose Logic functions are determined by programming the Device by a user. A digital system is "integrated" on a PLD by the designer's own programming without requiring the chip manufacturer to design and fabricate application-specific integrated circuit chips. Furthermore, nowadays, instead of manually making an Integrated Circuit chip, such Programming is often implemented by "logic compiler" software, which is similar to a software compiler used in program development and writing, but the original code before compiling is also written by a specific Programming Language, which is called Hardware Description Language (HDL), and HDL is not only one but many, such as abel (advanced Boolean Expression Language), ahdl (alternate Hardware Description Language), traffic, pl (core universal Programming Language), HDCal (jhdware Description Language), lang, Lola, HDL, laspam, hardward Description Language (vhr Description Language), vhal (Hardware Description Language), and vhigh-Language, which are currently used in most common. It will also be apparent to those skilled in the art that hardware circuitry that implements the logical method flows can be readily obtained by merely slightly programming the method flows into an integrated circuit using the hardware description languages described above.

The controller may be implemented in any suitable manner, for example, the controller may take the form of, for example, a microprocessor or processor and a computer-readable medium storing computer-readable program code (e.g., software or firmware) executable by the (micro) processor, logic gates, switches, an Application Specific Integrated Circuit (ASIC), a programmable logic controller, and an embedded microcontroller, examples of which include, but are not limited to, the following microcontrollers: ARC 625D, Atmel AT91SAM, Microchip PIC18F26K20, and Silicone Labs C8051F320, the memory controller may also be implemented as part of the control logic for the memory. Those skilled in the art will also appreciate that, in addition to implementing the controller as pure computer readable program code, the same functionality can be implemented by logically programming method steps such that the controller is in the form of logic gates, switches, application specific integrated circuits, programmable logic controllers, embedded microcontrollers and the like. Such a controller may thus be considered a hardware component, and the means included therein for performing the various functions may also be considered as a structure within the hardware component. Or even means for performing the functions may be regarded as being both a software module for performing the method and a structure within a hardware component.

The systems, devices, modules or units illustrated in the above embodiments may be implemented by a computer chip or an entity, or by a product with certain functions. One typical implementation device is a computer. In particular, the computer may be, for example, a personal computer, a laptop computer, a vehicle-mounted human-computer interaction device, a cellular telephone, a camera phone, a smart phone, a personal digital assistant, a media player, a navigation device, an email device, a game console, a tablet computer, a wearable device, or a combination of any of these devices.

Although one or more embodiments of the present description provide method operational steps as described in the embodiments or flowcharts, more or fewer operational steps may be included based on conventional or non-inventive approaches. The order of steps recited in the embodiments is merely one manner of performing the steps in a multitude of orders and does not represent the only order of execution. When an actual apparatus or end product executes, it may execute sequentially or in parallel (e.g., parallel processors or multi-threaded environments, or even distributed data processing environments) according to the method shown in the embodiment or the figures. The terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, the presence of additional identical or equivalent elements in a process, method, article, or apparatus that comprises the recited elements is not excluded. The terms first, second, etc. are used to denote names, but not any particular order.

For convenience of description, the above devices are described as being divided into various modules by functions, and are described separately. Of course, when implementing one or more of the present description, the functions of each module may be implemented in one or more software and/or hardware, or a module implementing the same function may be implemented by a combination of multiple sub-modules or sub-units, etc. The above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units is only one logical division, and other divisions may be realized in practice, for example, a plurality of units 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 through some interfaces, devices or units, and may be in an electrical, mechanical or other form.

The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

In a typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.

The memory may include forms of volatile memory in a computer readable medium, Random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). Memory is an example of a computer-readable medium.

Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage, graphene storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.

As will be appreciated by one skilled in the art, one or more embodiments of the present description may be provided as a method, system, or computer program product. Accordingly, one or more embodiments of the present description may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, one or more embodiments of the present description may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.

The embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for the system embodiment, since it is substantially similar to the method embodiment, the description is simple, and for the relevant points, reference may be made to the partial description of the method embodiment. In the description of the specification, reference to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the specification. In this specification, the schematic representations of the terms used above are not necessarily intended to refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Furthermore, various embodiments or examples and features of different embodiments or examples described in this specification can be combined and combined by one skilled in the art without contradiction.

The above description is merely exemplary of one or more embodiments of the present disclosure and is not intended to limit the scope of one or more embodiments of the present disclosure. Various modifications and alterations to one or more embodiments described herein will be apparent to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims.

Claims

1. An autonomous driving monitoring alarm system, comprising:

the warning processing device is used for receiving the vehicle acquisition information sent by the radio frequency device and calculating vehicle information according to the vehicle acquisition information; the vehicle information processing device is also used for judging whether the vehicle information triggers a corresponding alarm rule in a memory or not, and sending alarm information to an alarm platform when the alarm rule is determined to be triggered; the vehicle information is also sent to a memory, and the vehicle information comprises vehicle behavior information and vehicle state information; wherein, the calculating the vehicle information according to the vehicle acquisition information comprises: calculating vehicle information in real time according to the vehicle acquisition information to obtain real-time vehicle information; the vehicle acquisition information is stored, and the vehicle information is calculated in an off-line mode according to the vehicle acquisition information to obtain off-line vehicle information; comparing the real-time vehicle information with the off-line vehicle information to determine whether the vehicle acquisition information is correct; the warning processing device is also used for extracting characteristic information from the vehicle acquisition information, matching the characteristic information with information in a characteristic information base and obtaining vehicle prediction information; correspondingly, judging whether the vehicle prediction information triggers an alarm rule or not; acquiring alarm information when the alarm rule is determined to be triggered; judging whether an alarm rule corresponding to the alarm information exists or not; when the alarm information exists, pushing the alarm information according to the alarm rule;

2. The system of claim 1, wherein the radio frequency device receives vehicle acquisition information including at least one of: a fourth generation mobile information system, a fifth generation mobile information system, and a wireless network.

3. The system of claim 1, further comprising:

4. An autonomous driving monitoring alarm system, comprising:

the system comprises a collecting device, a remote server and a monitoring device, wherein the collecting device is used for obtaining vehicle collecting information and sending the vehicle collecting information to the remote server so that the server calculates vehicle information according to the received vehicle collecting information, judges whether the vehicle information triggers an alarm rule or not, obtains alarm information when the alarm rule is triggered, and pushes the alarm information according to the alarm rule corresponding to the alarm information, and the vehicle information comprises vehicle behavior information and vehicle state information; the server extracts characteristic information from the vehicle acquisition information, and matches the characteristic information with information in a characteristic information base to obtain vehicle prediction information; correspondingly, judging whether the vehicle prediction information triggers an alarm rule or not; acquiring alarm information when the alarm rule is determined to be triggered; judging whether an alarm rule corresponding to the alarm information exists or not; when the alarm information exists, pushing the alarm information according to the alarm rule; wherein the calculating vehicle information according to the received vehicle acquisition information comprises: calculating vehicle information in real time according to the vehicle acquisition information to obtain real-time vehicle information; the vehicle acquisition information is stored, and the vehicle information is calculated in an off-line mode according to the vehicle acquisition information to obtain off-line vehicle information; comparing the real-time vehicle information with the off-line vehicle information to determine whether the vehicle acquisition information is correct;

5. An automatic driving monitoring alarm system is characterized by comprising a client and a server,

the server is used for receiving vehicle acquisition information and calculating vehicle information according to the vehicle acquisition information; the vehicle information processing device is also used for judging whether the vehicle information triggers an alarm rule or not, and acquiring alarm information when the alarm rule is determined to be triggered; the system is also used for judging whether an alarm rule corresponding to the alarm information exists or not, and pushing the alarm information to the client according to the alarm rule when the alarm rule exists, wherein the vehicle information comprises vehicle behavior information and vehicle state information; the system is also used for extracting characteristic information from the vehicle acquisition information, matching the characteristic information with information in a characteristic information base and obtaining vehicle prediction information; correspondingly, judging whether the vehicle prediction information triggers an alarm rule or not; acquiring alarm information when the alarm rule is determined to be triggered; judging whether an alarm rule corresponding to the alarm information exists or not; when the alarm information exists, pushing the alarm information according to the alarm rule; wherein, the calculating the vehicle information according to the vehicle acquisition information comprises: calculating vehicle information in real time according to the vehicle acquisition information to obtain real-time vehicle information; the vehicle acquisition information is stored, and the vehicle information is calculated in an off-line mode according to the vehicle acquisition information to obtain off-line vehicle information; and comparing the real-time vehicle information with the off-line vehicle information to determine whether the vehicle acquisition information is correct.

6. A server comprising a processor and a memory for storing processor-executable instructions that when executed by the processor implement:

receiving vehicle acquisition information;

calculating vehicle information according to the vehicle acquisition information, wherein the vehicle information comprises vehicle behavior information and vehicle state information; wherein, the calculating the vehicle information according to the vehicle acquisition information comprises: calculating vehicle information in real time according to the vehicle acquisition information to obtain real-time vehicle information; the vehicle acquisition information is stored, and the vehicle information is calculated in an off-line mode according to the vehicle acquisition information to obtain off-line vehicle information; comparing the real-time vehicle information with the off-line vehicle information to determine whether the vehicle acquisition information is correct;

judging whether the vehicle information triggers an alarm rule or not;

acquiring alarm information when the alarm rule is determined to be triggered;

when the alarm information exists, pushing the alarm information according to the alarm rule;

further comprising: extracting characteristic information from the vehicle acquisition information, and matching the characteristic information with information in a characteristic information base to obtain vehicle prediction information; correspondingly, judging whether the vehicle prediction information triggers an alarm rule or not; acquiring alarm information when the alarm rule is determined to be triggered; judging whether an alarm rule corresponding to the alarm information exists or not; and when the alarm information exists, pushing the alarm information according to the alarm rule.

7. A client comprising a processor and a memory for storing processor-executable instructions, the instructions when executed by the processor result in:

acquiring vehicle acquisition information, and sending the vehicle acquisition information to a remote server so that the server calculates vehicle information according to the received vehicle acquisition information, judges whether the vehicle information triggers an alarm rule, acquires alarm information when the alarm rule is determined to be triggered, and pushes the alarm information according to the alarm rule corresponding to the alarm information, wherein the vehicle information comprises vehicle behavior information and vehicle state information; the server extracts characteristic information from the vehicle acquisition information, and matches the characteristic information with information in a characteristic information base to obtain vehicle prediction information; correspondingly, judging whether the vehicle prediction information triggers an alarm rule or not; acquiring alarm information when the alarm rule is determined to be triggered; judging whether an alarm rule corresponding to the alarm information exists or not; when the alarm information exists, pushing the alarm information according to the alarm rule; wherein the calculating vehicle information according to the received vehicle acquisition information comprises: calculating vehicle information in real time according to the vehicle acquisition information to obtain real-time vehicle information; the vehicle acquisition information is stored, and the vehicle information is calculated in an off-line mode according to the vehicle acquisition information to obtain off-line vehicle information; comparing the real-time vehicle information with the off-line vehicle information to determine whether the vehicle acquisition information is correct;

and receiving the pushed alarm information.