Intelligent alarm device and vehicle intelligent alarm system

Abstract

The invention discloses intelligent alarm equipment and a vehicle intelligent alarm system. The intelligent alarm device is connected with a vehicle-mounted automatic diagnosis interface of a vehicle and comprises an acquisition module and a narrowband Internet of Things module. And the narrowband Internet of Things module is used for determining accident information of the vehicle according to the vehicle condition data acquired by the acquisition module and the vehicle condition early warning information model. According to the intelligent alarm device provided by the embodiment of the invention, the narrowband Internet of Things module is used as the main controller, the collected vehicle condition data is directly analyzed and processed locally, a traditional cloud resolving mode is abandoned, the problems of data loss and transmission lag caused by network delay or congestion are effectively avoided, and the intelligent alarm device is suitable for the vehicle condition data transmission. The accuracy of vehicle accident handling is improved, and the accident misjudgment probability is reduced.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of intelligent alarm, in particular to an intelligent alarm device and a vehicle intelligent alarm system. BACKGROUND

[0002] Currently, vehicle condition detection is mainly through two ways: comprehensive detection by vehicle repair shop and real-time vehicle condition information detection by manufacturer application. Although the vehicle repair shop detection is comprehensive and covers a wide range, it cannot provide real-time data. Although the manufacturer application detection can monitor the vehicle condition in real time, it is limited to a few high-priced vehicle models launched in recent years, which are equipped with vehicle networking and emergency alarm functions. In order to realize a real-time and low-cost vehicle condition detection, the related technology proposes to collect vehicle condition information by self-made sensor and provide emergency alarm function, but in this way, the self-made sensor needs to upload the vehicle condition information to the cloud to process the accident according to the vehicle condition information through the cloud. The related technology is prone to packet loss or delay under poor network quality, resulting in inaccurate vehicle condition information for accident handling, thereby affecting the accuracy of accident handling. SUMMARY

[0003] Embodiments of the present application provide an intelligent alarm device and a vehicle intelligent alarm system to at least partially solve the above technical problems.

[0004] In order to achieve the above purpose, according to the first aspect of the present application, an intelligent alarm device is provided, which is connected with an on-board diagnostic interface of a vehicle; wherein the intelligent alarm device comprises: a collection module, configured to acquire vehicle condition data of the vehicle; a narrowband Internet of Things module, connected with the collection module, configured to determine accident information of the vehicle according to the vehicle condition data and a vehicle condition early warning information model.

[0005] In some embodiments of the present application, the collection module comprises: a first collection unit, configured to acquire first vehicle condition data of the vehicle in real time through a CAN bus; wherein the first vehicle condition data comprises at least one of the following: brake signal, safety belt signal, hand brake signal, environment temperature, fuel pressure metering, engine speed, vehicle speed change.

[0006] In some embodiments of the present application, the collection module comprises: a second collection unit, configured to acquire second vehicle condition data of the vehicle in real time through a sensor; the second vehicle condition data comprises: acceleration signal of the vehicle.

[0007] In some embodiments of the present application, the narrowband Internet of Things module comprises: a processing unit, configured to determine the state of the vehicle and the accident information of the vehicle according to the vehicle condition data.

[0008] In some embodiments of the present application, the processing unit is further configured to: determine a first displacement distance of the vehicle based on the engine speed and the acceleration signal in the vehicle condition data; determine that the state of the vehicle is in a driving mode when the first displacement distance is greater than a first displacement threshold in the vehicle condition warning information model and the vehicle is started; and determine that the state of the vehicle is in a static mode when the first displacement distance is less than or equal to the first displacement threshold and the vehicle is not started.

[0009] In some embodiments of the present application, the processing unit is further configured to: determine accident information of the vehicle according to the state of the vehicle and the vehicle condition warning information model; and wherein the accident information comprises at least one of the following: an accident type, an accident severity, and environmental data.

[0010] In some embodiments of the present application, the state of the vehicle comprises a static mode, and the processing unit is further configured to: determine a static displacement amount of the vehicle based on the acceleration signal in the vehicle condition data; determine that the accident type is a vehicle safety accident when the static displacement amount is greater than a first displacement alarm threshold in the vehicle condition warning information model; and / or determine that the accident type is a fire accident when an environmental temperature in the vehicle condition data is greater than a first temperature alarm threshold in the vehicle condition warning information model.

[0011] In some embodiments of the present application, when the state of the vehicle comprises a driving mode, the processing unit is further configured to: determine that the accident type is a fire accident when an environmental temperature in the vehicle condition data is greater than a second temperature alarm threshold in the vehicle condition warning information model; and / or determine a temperature change slope of the environmental temperature over time based on the environmental temperature in the vehicle condition data; determine that the accident type is a fire accident when the temperature change slope is greater than a safety temperature change slope threshold in the vehicle condition warning information model; and / or determine an acceleration change slope of the acceleration signal over time and a driving displacement amount based on the acceleration signal in the vehicle condition data; determine that the accident type is a vehicle safety accident when the acceleration change slope is less than an acceleration alarm threshold in the vehicle condition warning information model and the driving displacement amount is greater than a second displacement alarm threshold in the vehicle condition warning information model.

[0012] In some embodiments of the present application, the processing unit is further configured to: determine that the accident type is a personnel safety accident when an airbag of the vehicle is deployed.

[0013] In some embodiments of the present application, the narrowband Internet of Things module further comprises a positioning unit configured to acquire position information of the vehicle; and the processing unit is further configured to send the accident information and the position information to the server to send an alarm information by the server.

[0014] In some embodiments of the present application, the intelligent alarm device further comprises a connector connected to the on-board diagnostic interface of the vehicle; and a power management module configured to supply power to the intelligent alarm device.

[0015] According to a second aspect of the present application, a vehicle intelligent alarm system is provided, comprising: a vehicle, an intelligent alarm device according to any one of the above embodiments connected to the vehicle; and a server connected to the intelligent alarm device; wherein the intelligent alarm device acquires a vehicle condition early warning information model corresponding to the vehicle from the server.

[0016] In some embodiments of the present application, the intelligent alarm device is configured to send a model of the vehicle to the server; and the server is configured to generate the vehicle condition early warning information model according to the model of the vehicle, and send the vehicle condition early warning information model to the intelligent alarm device.

[0017] In some embodiments of the present application, the intelligent alarm device is configured to send position information of the intelligent alarm device and accident information of the vehicle to the server; and the server is configured to generate map position information according to the position information of the intelligent alarm device, determine an alarm type according to the accident information of the vehicle, and generate intelligent alarm information; and perform a preset alarm operation according to the map position information, the alarm type and the intelligent alarm information.

[0018] In some embodiments of the present application, the vehicle intelligent alarm system further comprises a mobile terminal connected to the intelligent alarm device; and the mobile terminal is configured to acquire vehicle condition data of the vehicle and accident information of the vehicle, acquire fault code information of the vehicle, and clear the fault code information in a case where a fault corresponding to the fault code has been solved.

[0019] In summary, the technical scheme provided by the embodiment of the present application is that the intelligent alarm device is connected with the vehicle-mounted automatic diagnosis interface of the vehicle. The intelligent alarm device comprises a collection module and a narrowband Internet of Things module. The narrowband Internet of Things module is used to determine the accident information of the vehicle according to the vehicle condition data collected by the collection module and the vehicle condition early warning information model. The intelligent alarm device provided by the embodiment of the present application uses the narrowband Internet of Things module as a main controller, directly analyzes and processes the collected vehicle condition data locally, discards the traditional cloud calculation mode, effectively avoids the problems of data loss and transmission lag caused by network delay or congestion, and improves the accuracy of vehicle accident processing and reduces the probability of accident misjudgment. BRIEF DESCRIPTION OF DRAWINGS

[0020] In order to more clearly illustrate the technical scheme in the embodiment of the present application, the drawings needed to be used in the embodiment description will be briefly introduced as follows. Obviously, the drawings in the following description are only some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative labor on the basis of these drawings.

[0021] Figure 1 is a schematic diagram of an intelligent alarm device provided by the embodiment of the present application;

[0022] Figure 2 is a schematic diagram of another intelligent alarm device provided by the embodiment of the present application;

[0023] Figure 3 is a schematic diagram of a vehicle intelligent alarm system provided by the embodiment of the present application;

[0024] Figure 4 is a flow chart of an automatic accident alarm function implementation provided by the embodiment of the present application;

[0025] Figure 5 is a flow chart of a manual viewing of vehicle condition information function implementation provided by the embodiment of the present application.

[0026] Explanation of reference signs:

[0027] 10, intelligent alarm device; 101, joint; 102, collection module; 1021, first collection unit; 1022, second collection unit; 103, narrowband Internet of Things module; 1031, processing unit; 1032, positioning unit; 104, power management module; 20, vehicle; 201, vehicle-mounted automatic diagnosis interface; 1, vehicle intelligent alarm system; 30, server; 40, mobile terminal. DETAILED DESCRIPTION

[0028] With reference to the drawings, the technical solutions in the embodiments of the present application will be clearly and completely described below. Obviously, the described embodiments are only a part of the embodiments of the present application, but not all the embodiments of the present application. Based on the embodiments of the present application, all other embodiments obtained by those skilled in the art without creative work fall within the protection scope of the present application.

[0029] In the following description, specific embodiments of the present application will be described with reference to steps and symbolic representations of operations that are performed by one or more computers. Unless specifically stated otherwise, as is apparent from the following discussions, it is appreciated that throughout the specification, discussions utilizing terms such as "processing," "computing," "calculating," "determining," "displaying," and / or "determining," involve the actions and / or processes of a computer system, or similar electronic computing device.

[0030] As used herein, the terms "module" or "unit" can be regarded as a software object executed on the operating system. Different components, modules, engines and services described herein can be regarded as implemented objects on the operating system. The apparatus and method described herein are preferably implemented in software, but can also be implemented in hardware, both of which are within the scope of the present application.

[0031] Those skilled in the art can understand that, unless specifically stated, the singular forms "a," "an," and "the" used herein include plural forms. It should be further understood that the use of the term "include" in the specification of the present application means that the stated features, integers, steps, operations, elements, and / or components are present, but does not exclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and / or groups thereof. It should be understood that when we say an element is "connected" or "coupled" to another element, it can be directly connected or coupled to the other element, or there can be an intermediate element. In addition, "connected" or "coupled" used herein can include wireless connection or wireless coupling. The phrase "and / or" used herein includes all or any single unit and all combinations of the associated listed items.

[0032] Please refer to Figure 1 , Figure 1is a schematic diagram of an intelligent alarm device 10 provided by an embodiment of the present application. According to a first aspect of the present application, an intelligent alarm device 10 is provided, which is connected with an on-board diagnostic interface 201 of a vehicle 20. The intelligent alarm device 10 comprises: a collection module 102, configured to acquire vehicle condition data of the vehicle 20; and a narrowband Internet of Things module 103, connected with the collection module 102, configured to determine accident information of the vehicle 20 according to the vehicle condition data and a vehicle condition early warning information model.

[0033] The on-board diagnostic (OBD) interface 201 is a standardized diagnostic interface on the vehicle 20, mainly used for connecting external diagnostic tools to obtain real-time running data and fault information of the vehicle 20. The intelligent alarm device 10 provided by the embodiment of the present application is connected with the standard on-board diagnostic interface 201 on the vehicle 20, and can be compatible with all brands of vehicles 20 supporting the on-board diagnostic interface 201 on the market. The intelligent alarm device 10 is portable and does not need complex wiring installation. It only needs to be connected with the on-board diagnostic interface 201 of the vehicle 20.

[0034] When the intelligent alarm device 10 provided by the embodiment of the present application is connected with the on-board diagnostic interface 201 of the vehicle 20 for the first time, the collection module 102 acquires exclusive information such as the brand and model of the vehicle 20, which is used to match the corresponding vehicle condition early warning information model. The vehicle condition early warning information model corresponds to the model of the vehicle 20, and different vehicle condition early warning information models can be set for different models of vehicles 20 to meet the specific needs of different models of vehicles 20.

[0035] The narrowband Internet of Things (NB-IOT) module 103 is a low-power wide-area network (LPWAN) communication module based on cellular network, which is designed for massive device connection, deep coverage, ultra-low power consumption and low-cost scenarios.

[0036] The intelligent alarm device 10 provided by the embodiment of the present application integrates the narrowband Internet of Things module 103, and uses the narrowband Internet of Things module 103 as the main controller to directly analyze and process the collected vehicle condition data locally. The traditional cloud calculation mode is abandoned, and the problems of data loss and transmission lag caused by network delay or congestion are effectively avoided, which improves the accuracy of vehicle 20 accident handling and reduces the probability of accident misjudgment.

[0037] Please refer to Figure 2 , Figure 2is another schematic diagram of the intelligent alarm device 10 provided by the embodiments of the present application. In some embodiments of the present application, the collection module 102 comprises a first collection unit 1021 configured to acquire first vehicle condition data of the vehicle 20 in real time through a CAN bus.

[0038] The on-board automatic diagnostic interface 201 supports multiple communication protocols, such as the CAN (Controller Area Network) protocol, which is a serial bus protocol for internal communication of a vehicle and is designed for the automotive industry to enable efficient data transmission and real-time communication between electronic control units (ECUs) of the vehicle 20. The collection module 102 can communicate with the ECUs of the vehicle 20 through the on-board automatic diagnostic interface 201 to acquire various data of the vehicle 20, and can support multiple vehicle protocols. The first collection unit 1021 of the intelligent alarm device 10 communicates with the ECUs of the vehicle 20 through the CAN bus to acquire first vehicle condition data of the vehicle 20 in real time. For example, the first collection unit 1021 can acquire the first vehicle condition data through OBD-II instructions. The first collection unit 1021 also supports CAN data decoding to acquire the first vehicle condition data. In some embodiments of the present application, the first vehicle condition data includes at least one of the following: a brake signal, a seat belt signal, a hand brake signal, an ambient temperature, a fuel pressure measurement, an engine speed, and a vehicle speed change. Through the above signals, a health profile of the vehicle 20 can be constructed. For example, the combination of the brake signal and the vehicle speed change can be used to judge the braking efficiency of the vehicle 20, the correlation between the engine speed and the fuel pressure can identify the fuel supply system problem of the vehicle 20, and the safety signals such as the seat belt signal and the hand brake signal are directly related to the safe operation of the vehicle 20. The first collection unit 1021 can support real-time data automatic sending and custom mode extension private instructions to read vehicle condition data. When the vehicle 20 fails, changes in specific data can help quickly locate the problem, such as brake failure, fuel leakage, engine overheating, etc., thereby helping to achieve more accurate fault warning and alarm functions. It should be understood that the ambient temperature herein can include temperature information related to the vehicle 20.

[0039] Referring to Figure 2 In some embodiments of the present application, the collection module 102 further comprises a second collection unit 1022 configured to acquire second vehicle condition data of the vehicle 20 in real time through a sensor. The second vehicle condition data includes an acceleration signal of the vehicle 20. For example, the second collection unit 1022 of the intelligent alarm device 10 can be specifically an acceleration sensor configured to collect the acceleration signal.

[0040] It should be understood that an acceleration sensor can also be configured on the vehicle 20, and the intelligent alarm device 10 can communicate with the ECU of the vehicle 20 through the CAN bus, and the second acquisition unit 1022 can acquire the acceleration signal of the vehicle 20. The acceleration sensor configured on the intelligent alarm device 10 is an acceleration sensor with higher accuracy, which can more accurately identify the acceleration change and is beneficial to more accurately obtain the accident information subsequently. Exemplarily, the second acquisition unit 1022 can use a three-axis accelerometer to listen to the acceleration and position direction change information of the vehicle 20 in real time.

[0041] Referring to Figure 2 In some embodiments of the present application, the narrowband Internet of Things module 103 includes a processing unit 1031 configured to determine the state of the vehicle 20 and the accident information of the vehicle 20 according to the vehicle condition data.

[0042] It should be understood that the LCC package (Leadless Chip Carrier) is a surface mount technology integrated circuit package form designed for high-density, high-reliability electronic devices. The narrowband Internet of Things module 103 integrates an LCC package, achieving miniaturization and high-density integration; supports ultra-low power consumption modes such as deep sleep mode (Power Saving Mode, PSM) and extended discontinuous reception cycle (enhanced Discontinuous Reception, eDRX), significantly reducing the energy consumption of the intelligent alarm device 10; compatible with global Global System for Mobile Communications (GSM) and General Packet Radio Service (GPRS) networks worldwide, suitable for network frequencies in different countries and regions, improving the universality and applicability of the module; integrates GPS, GLONASS, Galileo and Beidou and other multi-constellation satellite navigation systems, improves the positioning accuracy and reliability, especially suitable for location tracking in complex environments; not only provides data transmission function, but also has high-precision positioning capability, meets the real-time monitoring and tracking demand, such as vehicle tracking, logistics management and personal positioning device; built-in ultra-low power consumption BLE Bluetooth technology (BT3.0 / BT4.0), supports short-range wireless communication, expands the connection range of the module; integrate specific technology modules, such as Extended Prediction Orbit (EPOTM) technology, without the need to build servers, directly obtain data and configuration information from MediaTek (MTK) server, simplify deployment process, reduce operation and maintenance cost; at the same time, it can also be embedded with embedded microcontroller (MCU), allowing developers to write and load custom software programs, expand module functions to meet specific application requirements, provide high flexibility and customization capability. The narrowband Internet of Things module 103 is suitable for the intelligent alarm device 10 provided in the embodiments of the present application due to its various wireless communication technologies (such as NB-IOT, GSM / GPRS, GNSS, BLE), low-power design and strong secondary development capability.

[0043] Exemplarily, the processing unit 1031 can be an NB-IOT function unit in the narrowband Internet of Things module 103, the first acquisition unit 1021 acquires the first vehicle condition data every first preset time interval, the second acquisition unit 1022 acquires the second vehicle condition data every second preset time interval, the acquisition module 102 sends the first vehicle condition data and the second vehicle condition data to the narrowband Internet of Things module 103 through a serial port, and the NB-IOT function unit can determine the state of the vehicle 20 and the accident information of the vehicle 20 according to the vehicle condition data. It should be understood that the first preset time and the second preset time can be the same or different. Exemplarily, the first preset time and the second preset time can be set to 10 ms to 500 ms, and can be set according to actual use requirements in a specific use process. The present application does not limit this.

[0044] Exemplarily, the first acquisition unit 1021 acquires the first vehicle condition data such as brake signal, safety belt signal, hand brake signal, environmental temperature, instantaneous fuel pressure, engine speed and vehicle speed change through the vehicle-mounted automatic diagnosis interface 201 every 50 ms using the CAN protocol and decodes the first vehicle condition data, and the second acquisition unit 1022 acquires the acceleration change value of three axes every 50 ms through a three-axis acceleration sensor and continuously acquires a predetermined number of acceleration change values. The above-mentioned acquired data is sent to the processing unit 1031 of the narrowband Internet of Things module 103 through a serial port transmission mode for processing.

[0045] In some embodiments of the present application, the state of the vehicle 20 includes a driving mode and a static mode. The processing unit 1031 can determine the state of the vehicle 20 based on the vehicle condition data. The processing unit 1031 receives a plurality of groups of vehicle condition data acquired by the acquisition module 102 within a predetermined time, and determines the state of the vehicle 20 based on the plurality of groups of vehicle condition data. Exemplarily, the processing unit 1031 receives a plurality of groups of hand brake signal, safety belt signal, engine speed, vehicle speed change and acceleration signal within 1 s. The plurality of acceleration values are processed by arithmetic average, and the average value of the three-axis acceleration values acquired within 1 s is calculated. The difference between the average values corresponding to the acceleration value range of the three axes of the vehicle 20. If the hand brake signal, engine speed and acceleration sensor values acquired within the predetermined time 1 s change, it can be determined that the state of the vehicle 20 is the driving mode; if the hand brake signal, engine speed and acceleration sensor values do not change, it can be determined that the state of the vehicle 20 is the static mode. Of course, the above-mentioned method of determining the state of the vehicle 20 is only as a specific embodiment, and other methods of determining the state of the vehicle 20 according to the vehicle condition data are also within the protection scope of the present application, and the present application does not limit this.

[0046] In some embodiments of the present application, the processing unit 1031 is further configured to determine a first displacement distance of the vehicle 20 based on the engine speed and the acceleration signal, determine that the state of the vehicle 20 is in the driving mode when the first displacement distance is greater than a first displacement threshold in the vehicle condition warning information model and the vehicle 20 is started, and determine that the state of the vehicle 20 is in the static mode when the first displacement distance is less than or equal to the first displacement threshold in the vehicle condition warning information model and the vehicle 20 is not started.

[0047] Exemplarily, whether the vehicle 20 is started can be determined by detecting whether the ignition line signal exists, and of course, whether the vehicle 20 is started can also be determined by detecting other signals, which is not limited in the present application.

[0048] The acquisition module 102 sends the acquired engine speed and acceleration signal to the processing unit 1031 of the narrowband Internet of Things module 103 through a serial port, and the processing unit 1031 determines the first displacement distance of the vehicle 20. Exemplarily, the acceleration values of the vehicle 20 in the longitudinal (X-axis) and transverse (Y-axis) directions can be measured by using a three-axis acceleration sensor, and the speed change can be calculated by time integration of the acceleration values, and the calculation formula is as follows:

[0049] v x (t)=v x0 +fa x (t)dt;

[0050] v y (t)=v y0 +fa y (t)dt.

[0051] Wherein, v x (t) and v y (t) are the speed at the current time, a x (t) and a y (t) are the acceleration values, t is the time interval, and v x0 and v y0 are the initial speed; and the longitudinal and transverse speed components are vector synthesized to obtain the actual speed value v of the vehicle 20, and the calculation formula is as follows:

[0052]

[0053] It should be understood that in the actual calculation process, the speed value v can be obtained by the acceleration signal of the acceleration sensor on the vehicle, or the speed value v can be obtained by the acceleration signal of the high-precision acceleration sensor on the intelligent warning device 10, which is not limited in the present application.

[0054] Through the above steps, the speed value v of the vehicle 20 can be obtained from the acceleration signal, and the first displacement distance s can be determined according to a displacement calculation formula:

[0055]

[0056] The processing unit 1031 can determine the state of the vehicle 20 according to the first displacement distance: in a case where the first displacement distance s is greater than a first displacement threshold and the vehicle 20 is started, the state of the vehicle 20 is determined as a driving mode; in a case where the first displacement distance s is less than or equal to the first displacement threshold and the vehicle 20 is not started, the state of the vehicle 20 is determined as a static mode. It should be understood that the first displacement threshold can be a threshold set in the vehicle condition warning information model, and the first displacement threshold can be set to 30 mm, for example, and of course other values can also be set according to the specific vehicle model and actual situation, which is not limited in the present application.

[0057] In some embodiments of the present application, the processing unit 1031 is further configured to: determine, according to the state of the vehicle 20, accident information of the vehicle 20 by the vehicle condition warning information model; and wherein the accident information includes at least one of the following: accident type, accident severity, and environmental data.

[0058] Since the vehicle 20 is in a stopped state in the static mode, a relatively small acceleration change can also indicate the occurrence of a collision, and when the vehicle 20 collides with a surrounding vehicle 20 in the static mode, the impact force is relatively small and the displacement offset of the vehicle 20 is small. In the driving mode, the engine speed and vehicle speed of the vehicle 20 change relatively quickly, and in the case of a front collision or a rear collision during normal driving of the vehicle 20, the displacement offset of the vehicle 20 is large. The displacement data calculated in real time can be compared with the vehicle condition warning information model to determine the accident information of the vehicle 20, which can include the type of accident, the severity of the accident, and the license plate of the accident vehicle 20 and other environmental data. It should be understood that since the displacement data is different when a collision occurs in the static mode and the driving mode, the vehicle condition warning information model sets different thresholds for the static mode and the driving mode to determine the accident information in the corresponding state, especially the severity of the accident.

[0059] In some embodiments of the present application, the state of the vehicle 20 includes the static mode, and the processing unit 1031 is further configured to: determine a static displacement amount of the vehicle 20 based on the acceleration signal in the vehicle condition data; and determine that the accident type is a vehicle safety accident in a case where the static displacement amount is greater than a first displacement alarm threshold in the vehicle condition warning information model.

[0060] The hidden dangers of the vehicle 20 in the static mode mainly include the vehicle 20 parking sliding and the vehicle 20 position offset caused by external impact. The second acquisition unit 1022 can be a high-precision acceleration sensor. The precise static displacement amount can be calculated through the acquired high-precision sensor signal. Exemplarily, the initial conditions are known, including the initial speed v0 (usually unknown) and the initial displacement s0 (usually set to 0). The acceleration sensor can measure the acceleration a(τ) of the vehicle 20 in the continuous time domain. The static displacement amount s(t) of the vehicle 20 can be calculated by integration:

[0061]

[0062] Due to the noise and offset of the acceleration sensor in the actual measurement process, direct integration of the acceleration will cause cumulative error. In order to improve the accuracy of displacement calculation, Kalman filtering technology can be introduced to optimize the integration process. Combined with the optimized results after Kalman filtering, a more accurate static displacement amount can be obtained. Generally, the displacement calculation formula after filtering and adjustment is:

[0063]

[0064] Wherein, a filtered (τ) is the acceleration value after Kalman filtering. The static displacement amount s(t) of the vehicle 20 is calculated by using the acceleration sensor measurement data, and the Kalman filtering technology is combined to correct the offset amount caused by integration and improve the overall calculation accuracy.

[0065] Exemplarily, in the static mode, the first displacement alarm threshold can be set to 30 mm, which is not limited in the present application. The acceleration signal acquired by the high-precision acceleration sensor is sent to the processing unit 1031 for processing to obtain a high-precision static displacement amount. When the static displacement amount exceeds the first displacement alarm threshold, it can be determined that the vehicle 20 has a parking sliding or a vehicle safety accident such as external impact.

[0066] In some embodiments of the present application, when the state of the vehicle 20 is in the static mode, the processing unit 1031 is further configured to: in the case that the ambient temperature in the vehicle condition data is greater than the first temperature alarm threshold in the vehicle condition warning information model, determining that the accident type is a fire accident.

[0067] In the static mode, the accident type of the vehicle 20 can also be a fire accident such as spontaneous combustion or fire. Exemplarily, it is assumed that the vehicle 20 can be in a high-temperature environment in the daytime, and the first temperature alarm threshold can be set to 80°C. When the acquisition module 102 collects an environment temperature greater than the first temperature alarm threshold 80°C, it is determined that the accident type is a fire accident. Of course, the first temperature alarm threshold can also be set according to the actual environment according to the geographical location of the vehicle 20, and the present application does not limit this. Based on this, the processing unit 1031 can accurately identify whether the vehicle 20 has a risk of a fire accident in the static mode.

[0068] It should be understood that the vehicle safety accident and the fire accident in the static mode can occur simultaneously, or only the vehicle safety accident or the fire accident can occur, which can be determined according to the calculation result of the processing unit 1031 in the static mode, and the present application does not limit this.

[0069] In some embodiments of the present application, the state of the vehicle 20 includes a driving mode, and the processing unit 1031 is further configured to: determine that the accident type is a fire accident when the environment temperature is greater than a second temperature alarm threshold in the vehicle condition warning information model; and / or determine a temperature change slope of the environment temperature changing with time based on the environment temperature in the vehicle condition data; and determine that the accident type is a fire accident when the temperature change slope is greater than a safety temperature change slope threshold in the vehicle condition warning information model.

[0070] In the driving mode, the environment temperature is a value changing with time, and if the temperature change slope of the environment temperature changing with time is large, it indicates that the temperature of the vehicle 20 changes greatly in a short time, and the vehicle 20 can have some risks. Exemplarily, the time and the environment temperature change amount can be used to calculate the temperature change slope m, and the specific calculation formula is:

[0071]

[0072] wherein the unit of the environment temperature is Celsius, the unit of time is second, the unit of the temperature change slope m is ℃ / s, ΔT represents the change of the environment temperature in the sampling time, and ΔT represents the sampling time interval. Exemplarily, the safety temperature change slope threshold can be set to 10 ℃ / s, and the second temperature alarm threshold can be set to 80°C. When the temperature change slope m is greater than the safety temperature change slope threshold 10 ℃ / s, or the environment temperature is greater than the second temperature alarm threshold 80°C, it is determined that the accident type is a fire accident, and the vehicle 20 has spontaneous combustion or fire. It should be understood that the safety temperature change slope threshold and the second temperature alarm threshold can be set according to the vehicle type and various environmental factors, and the present application does not limit this. In addition, the first temperature alarm threshold and the second temperature alarm threshold can be set to the same value or different values, and the present application does not limit this.

[0073] Based on this, the processing unit 1031 can accurately identify whether the vehicle 20 is at risk of a fire accident in the driving mode.

[0074] In some embodiments of the present application, when the state of the vehicle 20 is in the driving mode, the processing unit 1031 is further configured to: determine an acceleration change slope of the acceleration signal changing with time and a driving displacement amount based on the acceleration signal in the vehicle condition data; and determine that the accident type is a vehicle safety accident when the acceleration change slope is less than an acceleration alarm threshold in the vehicle condition warning information model and the driving displacement amount is greater than a second displacement alarm threshold in the vehicle condition warning information model.

[0075] In the driving mode, the acceleration change slope of the acceleration signal changing with time should be positive during the forward or backward driving of the vehicle 20, and if the vehicle brakes or collides during driving, the acceleration change slope will tend to a large negative number in a short time. Exemplarily, the calculation formula of the acceleration change slope k is:

[0076]

[0077] where t1 and t2 are the initial time point and the final time point of the sampling time, respectively, and a1 and a2 are the acceleration signals corresponding to the initial time point and the final time point, respectively.

[0078] Exemplarily, the value of the acceleration change slope k in a 1s time interval is taken to determine whether the vehicle 20 has a tendency of emergency braking or collision. At the same time, the driving displacement amount can also be calculated according to the acceleration signal to further determine the accident information of the vehicle 20. The acceleration alarm threshold is set to -10m / s, and the second displacement alarm threshold is set to 30m. If the acceleration change slope k in the driving mode is less than the acceleration alarm threshold -10m / s and the driving displacement amount is greater than the second displacement alarm threshold 30m, it can be determined that the vehicle 20 has a vehicle safety accident such as emergency braking or collision. It should be understood that the acceleration alarm threshold and the second displacement alarm threshold can be specifically set according to the vehicle type and various environmental factors, which are not limited in the present application. The acceleration change slope k and the driving displacement amount can also be used to indicate the severity of the accident.

[0079] Exemplarily, in the driving mode, the number of brake signal triggers can also be detected, and when the brake duration is greater than 2s and the number of brake times per second is greater than 1, the accident type is determined to be a vehicle safety accident. In this way, the probability of false positives caused by bad driving habits of the driver can be reduced, and the accuracy of the intelligent alarm device 10 in identifying accident information can be improved.

[0080] It should be understood that the vehicle safety accident and the fire accident in the driving mode can occur simultaneously, or only the vehicle safety accident or the fire accident can occur, which can be determined according to the calculation result of the processing unit 1031 in the driving mode, and the present application does not limit this.

[0081] In some embodiments of the present application, the processing unit 1031 is further configured to determine that the accident type is a personnel safety accident in the case that the airbag of the vehicle 20 is popped.

[0082] Exemplarily, if the airbag is popped, and the acceleration change slope k in the driving mode is less than the acceleration alarm threshold -10 m / s, and the driving displacement is greater than the second displacement alarm threshold 30 m, it can be determined that the personnel safety accident occurs, and the accident severity is dangerous.

[0083] It should be understood that the airbag can also be popped in the stationary mode, for example, a person rests in the vehicle in the parking state, and the vehicle 20 is subjected to a violent impact from outside to cause the airbag to pop to protect the safety of the person.

[0084] Referring to Figure 2 In some embodiments of the present application, the narrowband Internet of Things module 103 further includes a positioning unit 1032 configured to acquire position information of the vehicle 20, and the processing unit 1031 is further configured to send the accident information and the position information to the server 30 to send an alarm information through the server 30.

[0085] The narrowband Internet of Things module 103 further includes the positioning unit 1032, which can have a GNSS function and can acquire the position information of the vehicle 20 in real time. The narrowband Internet of Things module 103 can send the locally calculated accident information and the position information acquired by the positioning unit 1032 to the server 30, and the server 30 can determine the fault occurrence position and the accident type, the accident severity and the like according to the above information, send an alarm information to an alarm platform, so as to implement emergency rescue work.

[0086] Referring to Figure 2 In some embodiments of the present application, the intelligent alarm device 10 further includes a connector 101 connected to the on-board diagnostic interface 201 of the vehicle 20, and a power management module 104 configured to supply power to the intelligent alarm device 10.

[0087] The intelligent alarm device 10 is connected with the vehicle-mounted automatic diagnosis interface 201 of the vehicle 20 through the connector 101, and can not only communicate with the ECU of the vehicle 20 through the vehicle-mounted automatic diagnosis interface 201, but also supply power to the intelligent alarm device 10 through the vehicle-mounted automatic diagnosis interface 201. It should be understood that the intelligent alarm device 10 can be supplied with power through the vehicle-mounted automatic diagnosis interface 201 only when the vehicle 20 is started. The intelligent alarm device 10 further comprises a power management module 104. Exemplarily, the power management module 104 can internally embed a 4.2V micro lithium battery, and supply power to the intelligent alarm device 10 through the lithium battery when the vehicle 20 is not started, so as to meet the intelligent alarm function of the intelligent alarm device 10 in the static mode and the driving mode. When the vehicle 20 is not started, the real-time power consumption of the intelligent alarm device 10 in the standby state is in the order of μA, and a 100mAh / 4.2V lithium battery can be used for 7 days without charging. The safety of the vehicle 20 can still be effectively guaranteed after the vehicle 20 is parked and powered off. When the vehicle 20 is started, the lithium battery in the power management module 104 can be charged through the vehicle-mounted automatic diagnosis interface 201, so that the intelligent alarm device 10 can continue to be used after the vehicle 20 is parked and powered off.

[0088] The vehicle-mounted automatic diagnosis interface 201 and the power management module 104 such as the lithium battery meet the power supply of the intelligent alarm device 10 in different states of the vehicle 20, and have obvious advantages compared with the alarm device commonly used in the market which is complex to install and has large power consumption.

[0089] The intelligent alarm device 10 provided by the embodiment of the application uses the narrowband Internet of Things module 103 as a main controller, directly analyzes and processes the collected vehicle condition data locally, discards the traditional cloud calculation mode, effectively avoids the problems of data loss and transmission lag caused by network delay or congestion, improves the accuracy of vehicle 20 accident handling, and reduces the probability of accident misjudgment.

[0090] Referring to Figure 3 , Figure 3 is a schematic diagram of a vehicle intelligent alarm system 1 provided by the embodiment of the application. According to the second aspect of the application, a vehicle intelligent alarm system 1 is provided, comprising: a vehicle 20, the intelligent alarm device 10 in any of the above embodiments connected with the vehicle 20; and a server 30 connected with the intelligent alarm device 10; wherein the intelligent alarm device 10 acquires a vehicle condition early warning information model corresponding to the vehicle 20 from the server 30.

[0091] It should be understood that the intelligent alarm device 10 is connected with the vehicle 20, collects vehicle condition data, locally solves accident information in the narrowband Internet of Things module 103, and after the solution is completed, the server 30 is also needed to cooperate to realize the intelligent alarm function. The server 30 can be connected with the intelligent alarm device 10 through the NB-IOT antenna and the like, so as to realize the communication between the server 30 and the narrowband Internet of Things module 103.

[0092] In some embodiments of the present application, the intelligent alarm device 10 is configured to send the model of the vehicle 20 to the server 30, and the server 30 is configured to generate a vehicle condition early warning information model according to the model of the vehicle 20, and send the vehicle condition early warning information model to the intelligent alarm device 10.

[0093] Different brands and different models of the vehicle 20 have different vehicle condition early warning information models, the collection unit of the intelligent alarm device 10 can communicate with the ECU of the vehicle 20 through the first collection unit 1021 to obtain the model and the like of the vehicle 20, and send the model and the like of the vehicle 20 to the narrowband Internet of Things module 103 in a serial port, the narrowband Internet of Things module 103 sends the model and the like to the server 30, requests to download the vehicle condition early warning information model corresponding to the model of the vehicle 20 from the server 30, and stores the vehicle condition early warning information model in the narrowband Internet of Things module 103 for solving the accident information.

[0094] In some embodiments of the present application, the intelligent alarm device 10 is configured to send the location information of the intelligent alarm device 10 and the accident information of the vehicle 20 to the server 30, the server 30 is configured to generate map location information according to the location information of the intelligent alarm device 10, determine the alarm type according to the accident information of the vehicle 20, and generate intelligent alarm information, and execute a preset alarm operation according to the map location information, the alarm type and the intelligent alarm information.

[0095] The server 30 receives the model information of the vehicle 20 sent by the narrowband Internet of Things module 103, generates and sends a vehicle condition warning information model corresponding to the model of the vehicle 20 to the narrowband Internet of Things module 103. The narrowband Internet of Things module 103 also sends the location information obtained by the positioning unit 1032 to the server 30, and the server 30 can generate map location information based on the location information, so as to accurately locate the position of the corresponding vehicle 20. At the same time, the narrowband Internet of Things module 103 also sends the calculated accident information to the server 30, and the server 30 generates intelligent alarm information according to the accident type, accident severity and environmental information in the accident information. The intelligent alarm information can be intelligent alarm voice, intelligent alarm short message, intelligent alarm video call and the like. Exemplarily, the map location information displays the information of the accident location, and the accident information displays that there may be personnel safety accidents, vehicle safety accidents and fire accidents at the same time. Based on this, the corresponding intelligent alarm information is generated, which can include the information of the accident location, the specific information of the accident vehicle 20, the accident type, the accident severity and the like, and the alarm type is determined. According to the above map location information, alarm type and intelligent alarm information, the corresponding preset alarm operation is executed.

[0096] In some embodiments of the present application, the preset alarm operation includes: sending a rescue service demand to a rescue center; wherein the rescue service demand includes: fire 119 rescue, first aid 120 rescue, and police 122 rescue.

[0097] Exemplarily, since the accident information displays that there are personnel safety accidents, vehicle safety accidents and fire accidents at the same time, the rescue service demand sent to the rescue center can include fire 119 rescue, first aid 120 rescue and police 122 rescue at the same time. Through the above manner, even if the person concerned is unconscious due to the accident or other accidents and cannot use the mobile phone to determine his current position, and cannot contact the rescue personnel, the alarm type can be determined according to the accident information and the rescue service demand can be automatically sent to the corresponding rescue center through the intelligent alarm mode, so as to avoid missing the best rescue time and provide a more convenient and efficient rescue mode for the person in need of rescue.

[0098] In some embodiments of the present application, the vehicle intelligent alarm system 1 further includes: a mobile terminal 40 connected with the intelligent alarm device 10; wherein the mobile terminal 40 is configured to: acquire the vehicle condition data of the vehicle 20 and the accident information of the vehicle 20; acquire the fault code information of the vehicle 20; and clear the fault code information in the case that the fault corresponding to the fault code has been solved.

[0099] Exemplarily, the narrowband Internet of Things module 103 of the intelligent alarm device 10 further has a built-in Bluetooth unit for establishing a wireless connection with a user device (such as the mobile terminal 40), and of course, the mobile terminal 40 and the intelligent alarm device 10 can also use other wireless connection modes such as WiFi, which is not limited in the present application. The mobile terminal 40 is installed with a corresponding APP application program, which provides a user interface for conveniently checking and managing vehicle data, and at the same time, the APP integrates a data analysis module, which can be used for analyzing and processing data from the intelligent alarm device 10.

[0100] After the intelligent alarm device 10 is inserted into the on-board automatic diagnostic interface 201 of the vehicle 20 and the mobile terminal 40 is successfully connected with the intelligent alarm device 10, exemplarily, the "get vehicle condition information" button on the APP application program interface can be clicked, the intelligent alarm device 10 can read the first vehicle condition data of the ECU of the vehicle 20 and the second vehicle condition data of the acceleration sensor through the acquisition module 102, and transmit these information to the mobile terminal 40 in real time through the narrowband Internet of Things module 103. The "diagnostic tool" can be selected on the APP application program interface to enter the fault query page, and the system will automatically scan and list the existing fault code information. In the case that the fault corresponding to the fault code has been solved, the corresponding fault code information can be cleared so as to re-monitor the vehicle 20.

[0101] The user can monitor the state of the vehicle 20 in real time through the mobile terminal 40 to discover and solve potential problems in time.

[0102] The vehicle intelligent alarm system 1 provided by the embodiments of the present application not only can realize automatic alarm service, but also supports manual checking of vehicle condition information to realize self-checking in the daily maintenance process, and can avoid relying on 4S shop detection.

[0103] Next, the interaction process between the vehicle 20, the intelligent alarm device 10, the server 30 and the rescue center will be described with a specific embodiment. Referring to FIG. 4, Figure 4 Figure 4 is a flowchart of an implementation manner of an automatic accident alarm function provided by the embodiments of the present application, mainly including the following interaction steps:

[0104] Step S100: the intelligent alarm device is connected with the vehicle for the first time to obtain vehicle brand and model information;

[0105] Step S101: the intelligent alarm device connects the server to send the vehicle model;

[0106] Step S102: download the vehicle condition early warning information model corresponding to the vehicle model from the server;

[0107] Step S103: the first acquisition unit acquires the first vehicle condition data in real time; ​

[0108] Step S104: The second acquisition unit acquires the second vehicle condition data in real time;

[0109] Step S105: Determine the vehicle's status, whether it is in stationary or driving mode;

[0110] Step S106: In stationary mode, real-time vehicle condition data and vehicle condition warning information model are compared to determine accident information;

[0111] Step S107: In driving mode, real-time vehicle condition data and vehicle condition warning information model are compared to determine accident information;

[0112] Step S108: The positioning unit of the narrowband IoT module acquires location information;

[0113] Step S109: Upload location information and accident information to the server;

[0114] Step S110: The server generates map location information, alarm type, and smart alarm information;

[0115] Step S111: The server sends a rescue service request to the rescue center.

[0116] Specifically, rescue service requests can include requests for assistance from fire services (119), ambulances (120), and traffic police (122). The specific alarm type and intelligent alarm information are determined based on the specific accident type, severity, and environmental information to send the rescue service request to the corresponding rescue center.

[0117] The following is a specific example illustrating the process of manually checking vehicle status information. (Refer to...) Figure 5 As shown, Figure 5 This is a flowchart illustrating an implementation of a manual vehicle condition information viewing function provided in the application embodiment, including the following steps:

[0118] Step S200: Launch the APP application on the mobile terminal;

[0119] Step S201: The mobile terminal successfully connects to the smart alarm device via Bluetooth;

[0120] Step S202: Obtain comprehensive vehicle condition information, including vehicle condition data and accident information, etc.

[0121] Step S203: Determine if a fault exists; if a fault exists, proceed to step S204; if no fault exists, proceed to step S202.

[0122] Step S204: Check the fault code information;

[0123] Step S205: judging whether the fault has been solved; if yes, jumping to step S206, if not, ending the flow;

[0124] Step S206: clearing the fault code information.

[0125] Through the above steps, the user can monitor the vehicle 20 state in real time through the mobile terminal 40, and find and solve potential problems in time.

[0126] The intelligent alarm device 10 and the vehicle intelligent alarm system 1 provided by the embodiment of the application are connected with the vehicle-mounted automatic diagnosis interface 201 on the vehicle 20, can collect vehicle condition data in real time, and send the vehicle condition data to the narrowband Internet of Things module 103 for local calculation and processing, compare with the vehicle condition early warning information model corresponding to the model of the vehicle 20 requested to be downloaded from the server 30, can reduce the data transmission amount, increase the real-time performance and transmission accuracy, so as to realize accurate judgment of accident information and prevent misjudgment. At the same time, the intelligent alarm device 10 adopts the standard OBD connector 101, can be installed on all vehicles 20 on the market, so that the low-end vehicle models without the emergency accident alarm function can also have the emergency accident automatic alarm function, and the use experience of the driver and the passenger is increased.

[0127] The above describes in detail the intelligent alarm device 10 and the vehicle intelligent alarm system 1 provided by the embodiment of the application, the principle and the implementation mode of the application are described by applying specific examples in this paper, and the above embodiment is only used to help understand the method of the application and the core idea; at the same time, for the person skilled in the art, according to the idea of the application, the specific implementation mode and the application range will be changed, and the above is not understood as the limitation of the application.

Claims

1. An intelligent alarm device, characterized in that, The intelligent alarm device (10) is connected to the vehicle's (200) onboard automatic diagnostic interface (201); wherein, the intelligent alarm device (10) includes: The acquisition module (102) is used to acquire vehicle condition data of the vehicle (20); Narrowband IoT module (103), connected to the acquisition module (102), is used to determine the accident information of the vehicle (20) based on the vehicle condition data and the vehicle condition warning information model.

2. The intelligent alarm device according to claim 1, characterized in that, The acquisition module (102) includes: The first acquisition unit (1021) is used to acquire the first vehicle condition data of the vehicle (20) in real time via the CAN bus; The first vehicle condition data includes at least one of the following: brake signal, seat belt signal, handbrake signal, ambient temperature, fuel pressure measurement, engine speed, and vehicle speed change.

3. The intelligent alarm device according to claim 1, characterized in that, The acquisition module (102) includes: The second acquisition unit (1022) is used to acquire the second vehicle condition data of the vehicle (20) in real time through sensors; The second vehicle condition data includes the acceleration signal of the vehicle (20).

4. The intelligent alarm device according to claim 1, characterized in that, The narrowband IoT module (103) includes: The processing unit (1031) is used to determine the status of the vehicle (20) and the accident information of the vehicle (20) based on the vehicle condition data.

5. The intelligent alarm device according to claim 4, characterized in that, The processing unit (1031) is also used for: Based on the engine speed and acceleration signal in the vehicle condition data, the first displacement distance of the vehicle (20) is determined; If the first displacement distance is greater than the first displacement threshold in the vehicle condition warning information model and the vehicle (20) is started, the state of the vehicle (20) is determined to be driving mode; If the first displacement distance is less than or equal to the first displacement threshold and the vehicle (20) is not started, the state of the vehicle (20) is determined to be stationary.

6. The intelligent alarm device according to claim 4, characterized in that, The processing unit (1031) is also used for: Based on the status of the vehicle (20) and the vehicle condition warning information model, the accident information of the vehicle (20) is determined; The accident information includes at least one of the following: accident type, accident severity, and environmental data.

7. The intelligent alarm device according to claim 6, characterized in that, The vehicle (20) is in a stationary state; the processing unit (1031) is also used for: Based on the acceleration signal in the vehicle condition data, the static displacement of the vehicle (20) is determined; if the static displacement is greater than the first displacement alarm threshold in the vehicle condition warning information model, the accident type is determined to be a vehicle safety accident. And / or, If the ambient temperature in the vehicle condition data is greater than the first temperature alarm threshold in the vehicle condition warning information model, the accident type is determined to be a fire accident.

8. The intelligent alarm device according to claim 6, characterized in that, The state of the vehicle (20) includes a driving mode; the processing unit (1031) is also used for: If the ambient temperature in the vehicle condition data is greater than the second temperature alarm threshold in the vehicle condition warning information model, the accident type is determined to be a fire accident. And / or, Based on the ambient temperature in the vehicle condition data, the slope of the temperature change over time is determined; if the slope of the temperature change is greater than the safe temperature change slope threshold in the vehicle condition warning information model, the accident type is determined to be a fire accident. And / or, Based on the acceleration signal in the vehicle condition data, the slope of the acceleration change over time and the amount of driving displacement are determined; if the slope of the acceleration change is less than the acceleration alarm threshold in the vehicle condition warning information model, and the amount of driving displacement is greater than the second displacement alarm threshold in the vehicle condition warning information model, the accident type is determined to be a vehicle safety accident.

9. The intelligent alarm device according to claim 6, characterized in that, The processing unit (1031) is also used for: If the airbags of the vehicle (20) deploy, the accident type is determined to be a personal safety accident.

10. The intelligent alarm device according to claim 4, characterized in that, The narrowband IoT module (103) also includes: The positioning unit (1032) is used to obtain the location information of the vehicle (20); The processing unit (1031) is also used to send the accident information and the location information to the server (30) so as to send alarm information through the server (30).

11. The intelligent alarm device according to claim 1, characterized in that, The intelligent alarm device (10) also includes: Connector (101) is connected to the on-board automatic diagnostic interface (201) of the vehicle (20); The power management module (104) is used to supply power to the intelligent alarm device (10).

12. A vehicle intelligent alarm system, characterized in that, The vehicle intelligent alarm system (1) includes: a vehicle (20), an intelligent alarm device (10) as described in any one of claims 1 to 11 connected to the vehicle (20), and a server (30) connected to the intelligent alarm device (10); The intelligent alarm device (10) obtains the vehicle condition warning information model corresponding to the vehicle (20) from the server (30).

13. The vehicle intelligent alarm system according to claim 12, characterized in that, The intelligent alarm device (10) is used to: send the model number of the vehicle (20) to the server (30); The server (30) is used to: generate the vehicle condition warning information model according to the model of the vehicle (20); and send the vehicle condition warning information model to the intelligent alarm device (10).

14. The vehicle intelligent alarm system according to claim 12, characterized in that, The intelligent alarm device (10) is used to send the location information of the intelligent alarm device (10) and the accident information of the vehicle (20) to the server (30); The server (30) is used to: generate map location information based on the location information of the intelligent alarm device (10); determine the alarm type and generate intelligent alarm information based on the accident information of the vehicle (20); and execute preset alarm operations based on the map location information, the alarm type and the intelligent alarm information.

15. The vehicle intelligent alarm system according to claim 12, characterized in that, The vehicle intelligent alarm system (1) further includes: a mobile terminal (40) connected to the intelligent alarm device (10); The mobile terminal (40) is used to: acquire vehicle condition data and accident information of the vehicle (20); acquire fault code information of the vehicle (20); and clear the fault code information when the fault corresponding to the fault code has been resolved.

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