An electric vehicle warning method and an electric vehicle

Abstract

This application provides an alarm method and an electric vehicle. The method involves acquiring at least one of radar data collected by radar, first image information acquired by an image acquisition device, and current data collected by a sensor. Based on the radar data, the first image information, and the current data, a risk event and its corresponding risk level are determined. Based on the risk event and its corresponding risk level, alarm information is generated and sent to the electric vehicle's client. This application combines radar data, first image information, and current data collected by a sensor in the alarm information generation process, improving the accuracy of the alarm information. Furthermore, by sending the alarm information to the electric vehicle's client, users can promptly perceive the alarm information, effectively improving the safety of the electric vehicle.

Description

Technical Field

[0001] This application relates to the field of electric vehicle technology, and more particularly to an alarm method for an electric vehicle and an electric vehicle. Background Technology

[0002] Electric vehicles, due to their lightweight and flexible design, provide convenient travel, but they are also easily moved or damaged due to factors such as physical characteristics, usage scenarios, and management loopholes.

[0003] Currently, electric vehicles can monitor vibrations when the engine is off using onboard sensors. For example, when an electric vehicle vibrates due to being moved or pushed over, it can trigger an audible and visual alarm. However, on the one hand, the alarm sound may not be detected in time when the user is far away from the electric vehicle; on the other hand, the mechanism of triggering the audible and visual alarm based on a single vibration signal is susceptible to environmental interference and the sensitivity of the onboard sensor, resulting in a high false alarm rate. This reduces user trust, weakens the effectiveness of the response in real alarm scenarios, and makes it difficult to guarantee the safety of electric vehicles.

[0004] Therefore, there is an urgent need for a solution to address the aforementioned technical problems. Summary of the Invention

[0005] Based on the above problems, this application provides an alarm method for electric vehicles and an electric vehicle, with the aim of improving the safety of electric vehicles.

[0006] The embodiments of this application disclose the following technical solutions:

[0007] First aspect: This application provides an alarm method for an electric vehicle, wherein the electric vehicle is equipped with radar, image acquisition equipment, and sensors, and the method includes:

[0008] Acquire at least one of the following: radar data acquired by radar, first image information acquired by image acquisition equipment, and current data acquired by sensor;

[0009] Based on at least one of the radar data, the first image information, and the current data, a risk event and the risk level corresponding to the risk event are determined.

[0010] Based on the risk event and the corresponding risk level, an alarm message is generated and sent to the client of the electric vehicle.

[0011] In one possible implementation, determining the risk event and its corresponding risk level based on at least one of the radar data, the image information, and the current data includes:

[0012] When the displacement value in the radar data is greater than a first threshold and the first image information includes a preset target, the risk event is determined to be the first event, and the risk level corresponding to the first event is the first level.

[0013] When the current fluctuation indicated by the current data is greater than the second threshold, the risk event is determined to be the second event, and the risk level corresponding to the second event is the second level.

[0014] When the location information in the radar data indicates that the electric vehicle is outside the preset parking area, the risk event is determined to be the third event, and the risk level corresponding to the third event is the third level.

[0015] In one possible implementation, generating alarm information based on the risk event and the risk level corresponding to the risk event includes:

[0016] When the risk event is the first event and the risk level corresponding to the first event is the first level, a first alarm message is generated and an audible and visual alarm mechanism is activated. The first alarm message is used to indicate the existence of the first event.

[0017] When the risk event is the second event and the risk level corresponding to the second event is the second level, a second alarm message is generated based on the second event and the second image information collected by the image acquisition device. The second alarm message is used to indicate charging abnormality.

[0018] When the risk event is a third event and the risk level corresponding to the third event is a third level, a third alarm message is generated based on the third image information collected by the image acquisition device and the location information in the radar data.

[0019] In one possible implementation, acquiring at least one of the radar data acquired by the radar, the first image information acquired by the image acquisition device, and the current data acquired by the sensor includes:

[0020] When the electric vehicle is turned off, the activation status of Sentry Mode is detected.

[0021] When it is determined that the sentry mode is enabled, at least one of the following is acquired: radar data collected by the radar, first image information collected by the image acquisition device, and current data collected by the sensor.

[0022] In one possible implementation, acquiring at least one of the radar data acquired by the radar, the first image information acquired by the image acquisition device, and the current data acquired by the sensor includes:

[0023] When a vibration event and / or displacement event is detected, acquire radar data collected by the radar and first image information acquired by the image acquisition device;

[0024] When the electric vehicle is charging, the current data collected by the sensors is acquired.

[0025] In one possible implementation, after acquiring the current data collected by the sensor when the electric vehicle is in a charging state, the method further includes:

[0026] Lock the charging port of the electric vehicle;

[0027] When a plug-out event is detected, a fourth alarm message is generated and sent to the electric vehicle's client.

[0028] In one possible implementation, the generation of a fourth alarm message upon detecting a plug-out event includes:

[0029] When a plug-out event is detected, a fourth alarm message is generated based on the fourth image information acquired by the image acquisition device and the plug-out event.

[0030] In one possible implementation, the method further includes:

[0031] A heartbeat packet is sent to the client at preset intervals.

[0032] Second aspect: This application provides an alarm device for an electric vehicle, including: an acquisition unit, a determination unit, a generation unit, and a transmission unit;

[0033] The acquisition unit is used to acquire at least one of radar data acquired by the radar, first image information acquired by the image acquisition device, and current data acquired by the sensor.

[0034] The determining unit is configured to determine a risk event and the risk level corresponding to the risk event based on at least one of the radar data, the first image information, and the current data.

[0035] The generation unit is used to generate alarm information based on the risk event and the risk level corresponding to the risk event;

[0036] The sending unit is used to send the alarm information to the client of the electric vehicle.

[0037] In one possible implementation, the determining unit is specifically used for:

[0038] When the displacement value in the radar data is greater than a first threshold and the first image information includes a preset target, the risk event is determined to be the first event, and the risk level corresponding to the first event is the first level.

[0039] When the current fluctuation indicated by the current data is greater than the second threshold, the risk event is determined to be the second event, and the risk level corresponding to the second event is the second level.

[0040] When the location information in the radar data indicates that the electric vehicle is outside the preset parking area, the risk event is determined to be the third event, and the risk level corresponding to the third event is the third level.

[0041] In one possible implementation, the generating unit is specifically used for:

[0042] When the risk event is the first event and the risk level corresponding to the first event is the first level, a first alarm message is generated and an audible and visual alarm mechanism is activated. The first alarm message is used to indicate the existence of the first event.

[0043] When the risk event is the second event and the risk level corresponding to the second event is the second level, a second alarm message is generated based on the second event and the second image information collected by the image acquisition device. The second alarm message is used to indicate charging abnormality.

[0044] When the risk event is a third event and the risk level corresponding to the third event is a third level, a third alarm message is generated based on the third image information collected by the image acquisition device and the location information in the radar data.

[0045] In one possible implementation, the acquiring unit is specifically used for:

[0046] When the electric vehicle is turned off, the activation status of Sentry Mode is detected.

[0047] When it is determined that the sentry mode is enabled, at least one of the following is acquired: radar data collected by the radar, first image information collected by the image acquisition device, and current data collected by the sensor.

[0048] In one possible implementation, the acquiring unit is specifically used for:

[0049] When a vibration event and / or displacement event is detected, acquire radar data collected by the radar and first image information acquired by the image acquisition device;

[0050] When the electric vehicle is charging, the current data collected by the sensors is acquired.

[0051] In one possible implementation, the device further includes: a locking unit;

[0052] The locking unit is used to lock the charging port of the electric vehicle;

[0053] The generation unit is also configured to generate a fourth alarm message when a plug-out event is detected;

[0054] The sending unit is also used to send the fourth alarm information to the electric vehicle's client.

[0055] In one possible implementation, the generating unit is specifically used for:

[0056] When a plug-out event is detected, a fourth alarm message is generated based on the fourth image information acquired by the image acquisition device and the plug-out event.

[0057] In one possible implementation, the device further includes a heartbeat packet sending unit;

[0058] The heartbeat packet sending unit is used to send heartbeat packets to the client at preset time intervals.

[0059] Thirdly: This application provides an electric vehicle for performing the steps of an electric vehicle alarm method as described above.

[0060] Fourth aspect: This application provides a computer device, which includes a processor and a memory;

[0061] The memory is used to store program code and transmit the program code to the processor;

[0062] The processor is used to execute the steps of an electric vehicle alarm method as described above, according to the instructions in the program code.

[0063] Fifth aspect: This application provides a computer-readable storage medium storing a computer program, which, when executed by a processor, implements the steps of an alarm method for an electric vehicle as described above.

[0064] Sixth aspect: This application provides a computer program product, which, when run on a computer, executes the steps of an electric vehicle alarm method as described above.

[0065] Seventh aspect: This application provides a chip including a processor coupled to a memory for executing a computer program or instructions stored in the memory, so that the chip implements the steps of an electric vehicle alarm method as described above.

[0066] Compared with the prior art, this application has the following beneficial effects:

[0067] This application provides an alarm method for electric vehicles. It acquires at least one of radar data collected by radar, first image information collected by an image acquisition device, and current data collected by a sensor. Based on the radar data, the first image information, and the current data, it determines a risk event and its corresponding risk level. Based on the risk event and its corresponding risk level, it generates alarm information and sends the alarm information to the electric vehicle's client. This application combines radar data, first image information, and current data collected by a sensor in the alarm information generation process, improving the accuracy of the alarm information. Furthermore, by sending the alarm information to the electric vehicle's client, users can promptly perceive the alarm information, effectively improving the safety of the electric vehicle. Attached Figure Description

[0068] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0069] Figure 1 A schematic diagram illustrating an application scenario of an alarm method for an electric vehicle provided in this application embodiment;

[0070] Figure 2 A flowchart illustrating an alarm method for an electric vehicle provided in an embodiment of this application;

[0071] Figure 3 A schematic diagram of the structure of an alarm system for an electric vehicle provided in an embodiment of this application;

[0072] Figure 4 A flowchart illustrating another alarm method for electric vehicles provided in this application embodiment;

[0073] Figure 5 This is a schematic diagram of the structure of an alarm device for an electric vehicle provided in an embodiment of this application. Detailed Implementation

[0074] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. The terminology used in the following embodiments is for the purpose of describing specific embodiments only and is not intended to be a limitation of this application. As used in the specification and appended claims of this application, the singular expressions "a," "an," "the," "the," "the," and "this" are intended to also include expressions such as "one or more," unless the context clearly indicates otherwise. It should also be understood that in the embodiments of this application, "one or more" refers to one, two, or more; "and / or" describes the relationship between related objects, indicating that three relationships may exist; for example, A and / or B can represent: A alone, A and B simultaneously, or B alone, where A and B can be singular or plural. The character " / " generally indicates that the preceding and following related objects are in an "or" relationship.

[0075] References to "one embodiment" or "some embodiments" as described in this specification mean that one or more embodiments of this application include a specific feature, structure, or characteristic described in connection with that embodiment. Therefore, the phrases "in one embodiment," "in some embodiments," "in other embodiments," "in still other embodiments," etc., appearing in different parts of this specification do not necessarily refer to the same embodiment, but rather mean "one or more, but not all, embodiments," unless otherwise specifically emphasized. The terms "comprising," "including," "having," and variations thereof mean "including but not limited to," unless otherwise specifically emphasized.

[0076] The "multiple" mentioned in the embodiments of this application refers to two or more. It should be noted that in the description of the embodiments of this application, terms such as "first" and "second" are used only for the purpose of distinguishing descriptions and should not be construed as indicating or implying relative importance, nor should they be construed as indicating or implying order.

[0077] Currently, electric vehicles can monitor vibrations when the engine is off using onboard sensors. For example, when an electric vehicle vibrates due to being moved or pushed over, an audible and visual alarm can be triggered.

[0078] However, on the one hand, when the user is far away from the electric vehicle, the alarm sound is difficult to be detected in time; on the other hand, the mechanism of the vehicle sensor that relies on a single vibration signal to trigger the sound and light alarm is affected by environmental interference and the sensitivity of the vehicle sensor, resulting in a high false alarm rate, which reduces user trust, weakens the effectiveness of the response in real alarm scenarios, and makes it difficult to guarantee the safety of the electric vehicle.

[0079] Based on this, this application provides an alarm method for electric vehicles. The method involves acquiring at least one of radar data collected by radar, first image information collected by an image acquisition device, and current data collected by a sensor. Based on the radar data, the first image information, and the current data, a risk event and its corresponding risk level are determined. Based on the risk event and its corresponding risk level, alarm information is generated and sent to the electric vehicle's client. This application combines radar data, first image information, and current data collected by a sensor in the alarm information generation process, improving the accuracy of the alarm information. Furthermore, by sending the alarm information to the electric vehicle's client, users can promptly perceive the alarm information, effectively improving the safety of the electric vehicle.

[0080] like Figure 1 As shown in the figure, this figure is a schematic diagram of an application scenario of an alarm method for electric vehicles provided in an embodiment of this application.

[0081] In this embodiment of the application, the electric vehicle 101 is equipped with radar, image acquisition equipment and sensors.

[0082] Electric vehicle 101 acquires at least one of radar data collected by radar, first image information collected by image acquisition device, and current data collected by sensor; based on at least one of the radar data, first image information, and current data, it determines a risk event and the risk level corresponding to the risk event; based on the risk event and the risk level corresponding to the risk event, it generates alarm information and sends the alarm information to the client 102 of electric vehicle 101.

[0083] After receiving the alarm information, the client 102 can display the alarm information on the user interface to alert the user that there is a corresponding risk event in the electric vehicle and ensure the safety of the electric vehicle.

[0084] The following describes, with reference to the accompanying drawings, an alarm method for an electric vehicle provided by an embodiment of this application, such as... Figure 2 As shown in the figure, this is a flowchart of an alarm method for an electric vehicle provided in an embodiment of this application, including S201-S203.

[0085] S201. Acquire at least one of the following: radar data acquired by radar, first image information acquired by image acquisition equipment, and current data acquired by sensor.

[0086] In this embodiment of the application, the electric vehicle may be equipped with at least one radar, at least one image acquisition device and at least one sensor.

[0087] Electric vehicles can be two-wheeled or three-wheeled electric bicycles, electric motorcycles, etc.

[0088] It is understood that the embodiments of this application do not specifically limit the number, type, or location of radar, image acquisition equipment, and sensors on the electric vehicle, and these can be set according to actual needs.

[0089] In one possible implementation, when the electric vehicle is in a turned-off state, the activation status of the sentry mode can be detected; when it is determined that the sentry mode is in a turned-on state, at least one of the radar data collected by the radar, the first image information collected by the image acquisition device, and the current data collected by the sensor can be acquired.

[0090] In this embodiment, there is a communication connection between the electric vehicle and the user's client. The user can be understood as the owner of the electric vehicle. The user can install the corresponding application software for the electric vehicle on the client to remotely control the electric vehicle, check its status, and perform other operations through the software.

[0091] In one possible implementation, since the electric vehicle and the client communicate based on a long connection, the electric vehicle can send a heartbeat packet to the client at preset intervals to maintain the communication connection with the client.

[0092] In one example, users can configure the Sentry Mode to be automatically activated when the electric vehicle is turned off in the client application.

[0093] In another example, after the electric vehicle is turned off, the user can open the client application and manually activate Sentinel Mode.

[0094] In Sentinel mode, the electric vehicle can acquire at least one of the following: radar data collected by radar, first image information collected by image acquisition equipment, and current data collected by sensors.

[0095] In one possible implementation, when a vibration event and / or displacement event is detected, radar data acquired by the radar and first image information acquired by the image acquisition device can be obtained; when the electric vehicle is in a charging state, current data acquired by the sensor can be obtained.

[0096] For example, when a vibration event and / or displacement event is detected, it indicates that the electric vehicle may have been moved, pushed over, or damaged. To reduce the false alarm rate, in this embodiment of the application, radar data collected by the radar and first image information collected by the image acquisition device can be obtained to determine whether a risk event exists.

[0097] To improve safety during the charging process of an electric vehicle, this embodiment of the application acquires current data collected by sensors to monitor the current data in real time during the charging process.

[0098] S202. Based on at least one of the radar data, the first image information, and the current data, determine the risk event and the risk level corresponding to the risk event.

[0099] In determining risk events and their corresponding risk levels, this application embodiment combines at least one of radar data collected by radar, first image information collected by image acquisition equipment, and current data collected by sensors. This can effectively improve the accuracy of determining risk events and risk levels, thereby ensuring the accuracy of subsequent alarm information generation.

[0100] In one possible implementation, when the displacement value in the radar data is greater than a first threshold and the first image information includes a preset target, the risk event can be determined as a first event, and the risk level corresponding to the first event is a first level.

[0101] For example, the preset target can be a user other than the electric vehicle owner or other objects. When the displacement value in the radar data is greater than a first threshold and the first image information includes the preset target, it indicates that the electric vehicle may have been moved, knocked over, or damaged. The first event may include a movement event, a knocking over event, a damage event, etc.

[0102] When the current fluctuation indicated by the current data is greater than the second threshold, the risk event is determined to be the second event, and the risk level corresponding to the second event is the second level.

[0103] For example, when the current fluctuation indicated by the current data is greater than the second threshold, it indicates that the current fluctuation is too large and there is a risk of device damage or fire. In this case, the risk event can be identified as the second event, and the risk level corresponding to the second event is the second level.

[0104] The second event can be used to indicate a charging malfunction.

[0105] When the location information in the radar data indicates that the electric vehicle is outside the preset parking area, the risk event can be identified as a third event, and the risk level corresponding to the third event is level three.

[0106] For example, in this embodiment of the application, when the electric vehicle is in a turned-off state, a preset parking area of ​​a certain range can be set according to the location information of the electric vehicle.

[0107] In one example, when the electric vehicle is at a first location, the preset parking area matched based on the first location is the first parking area; when the electric vehicle is at a second location, the preset parking area matched based on the second location is the second parking area. Since the first location and the second location are different, the location and extent of the first parking area and the second parking area may differ.

[0108] In another example, the extent of the preset parking area can be determined based on the electric vehicle's current battery level.

[0109] For example, when electric vehicle A with 100% battery is at the first location, the preset parking area matched based on the first location is the first parking area; when electric vehicle B with 80% battery is at the first location, the preset parking area matched based on the first location is the second parking area. The difference between the second parking area and the first parking area is that the area of ​​the second parking area is larger than that of the first parking area.

[0110] It is understood that the relationship between the range of the preset parking area and the current battery level of the electric vehicle is not specifically limited in the embodiments of this application, and can be set according to actual needs.

[0111] When the location information in the radar data indicates that the electric vehicle is outside the preset parking area, it means that the electric vehicle may have been moved and there is a risk of the electric vehicle being lost. In this case, the risk event can be identified as the third event, and the risk level corresponding to the third event is the third level.

[0112] The third event can be used to indicate that the electric vehicle is outside the preset parking area.

[0113] It is understood that in this embodiment of the application, the risk levels of the first, second, and third levels are not specifically limited, and can be set according to actual needs. For example, the risk level of the first level is greater than that of the second level, and the risk level of the second level is greater than that of the third level.

[0114] S203. Based on the risk event and the risk level corresponding to the risk event, generate alarm information and send the alarm information to the client of the electric vehicle.

[0115] In one possible implementation, when the risk event is the first event and the risk level corresponding to the first event is the first level, a first alarm message is generated and an audible and visual alarm mechanism is activated. The first alarm message is used to indicate the existence of the first event.

[0116] For example, when the risk event is the first event and the risk level corresponding to the first event is the first level, it means that there is a preset target that has come into contact with the electric vehicle without the knowledge of the electric vehicle owner, which may result in the electric vehicle being moved or damaged. In this case, a first alarm message can be generated and an audible and visual alarm mechanism can be activated to keep the preset target away from the electric vehicle.

[0117] The first alarm information may include the prompt information corresponding to the first event, the displacement value in the radar data, and the first image information acquired by the image acquisition device.

[0118] Simultaneously, a first alarm message is sent to the client of the electric vehicle, so that the user can view the prompt message corresponding to the first event, the displacement value in the radar data, and the first image information collected by the image acquisition device through the client application, and further determine whether there is a risk without having to go to the site to check, which can effectively improve the user experience.

[0119] The prompt message corresponding to the first event can be something like "Electric vehicle is at risk of damage," and it can be set based on actual needs. This application embodiment does not impose any specific limitations on this.

[0120] When the risk event is the second event and the risk level corresponding to the second event is the second level, a second alarm message is generated based on the second event and the second image information collected by the image acquisition device. The second alarm message is used to indicate charging abnormality.

[0121] The second alarm information may include a prompt message corresponding to the second event and second image information captured by the image acquisition device. The prompt message corresponding to the second event may be a phrase such as "charging abnormality," and the second image information may be video captured by the image acquisition device.

[0122] Similarly, the prompt information corresponding to the second event can be set based on actual needs, and this application embodiment does not impose specific limitations on this.

[0123] In this embodiment, a second alarm message is sent to the client of the electric vehicle, allowing the user to view the prompt information and second image information corresponding to the second event through the client application, and further determine whether there is a risk without having to go to the site for inspection.

[0124] In one example, when a risk event is determined to be a second event and the risk level corresponding to the second event is level two, charging can be automatically stopped. The prompt message corresponding to the second event can be something like "Charging abnormal, charging has been interrupted" to improve the safety of the charging process.

[0125] In another example, if the risk event is determined to be the second event and the risk level corresponding to the second event is the second level, charging can continue. If the user views the prompt information and the second image information corresponding to the second event through the client application and determines that there is a risk, the user can remotely stop charging through the application to ensure charging safety.

[0126] When the risk event is a third event and the risk level corresponding to the third event is a third level, a third alarm message is generated based on the third image information collected by the image acquisition device and the location information in the radar data.

[0127] The third alarm information may include prompts corresponding to the third event, third image information acquired by the image acquisition device, and location information from the radar data.

[0128] In this embodiment, a third alarm message is sent to the client of the electric vehicle, allowing the user to view the prompt message corresponding to the third event, the third image information collected by the image acquisition device, and the location information in the radar data through the client application, so as to further determine whether there is a risk without having to go to the site for inspection.

[0129] In one possible implementation, to ensure the safety of the charging process, when the electric vehicle is charging, after acquiring the current data collected by the sensor, the charging port of the electric vehicle can be automatically locked; when a plug-out event is detected, a fourth alarm message is generated and sent to the electric vehicle's client.

[0130] This fourth alarm message can be used to indicate the presence of a plug-in / plug-out event.

[0131] To improve the accuracy of alarms, in this embodiment of the application, when a plug-out event is detected, a fourth alarm message can be generated based on the fourth image information collected by the image acquisition device and the plug-out event.

[0132] The fourth alarm information may include prompts and fourth image information corresponding to the plug-out event.

[0133] A fourth alarm message is sent to the client of the electric vehicle, allowing the user to view the prompt message and fourth image information corresponding to the plug-out event through the client application, further determining whether there is a risk, without the user needing to go to the site for confirmation.

[0134] In summary, the embodiments of this application combine radar data collected by radar, first image information collected by image acquisition device, and current data collected by sensor during the generation of alarm information, thereby improving the accuracy of alarm information. At the same time, by sending the alarm information to the client of the electric vehicle, the user can perceive the alarm information in a timely manner, effectively improving the safety of the electric vehicle.

[0135] To facilitate understanding, the following will be combined with... Figure 3 and Figure 4 This application provides an overall description of an alarm method for an electric vehicle.

[0136] like Figure 3 As shown in the figure, this figure is a structural schematic diagram of an alarm system for an electric vehicle provided in an embodiment of this application.

[0137] In this embodiment of the application, the perception layer of the electric vehicle may include radar, image acquisition equipment, sensors, and communication modules.

[0138] For example, a 77GHz millimeter-wave radar (detection range 20 meters, accuracy ±0.1m / s) can be used. A rotatable radar bracket can also be employed to accommodate different installation angles.

[0139] 77GHz millimeter-wave radar can transmit high-frequency electromagnetic waves (frequency range 76-79GHz), receive target reflection signals, and calculate target range, velocity, and azimuth using the Doppler effect and time-of-flight (ToF).

[0140] The 77GHz millimeter-wave radar has a wavelength of only 3.9mm, a bandwidth of 4GHz, and a range resolution of up to 5cm (20 times that of 24GHz radar), enabling it to accurately distinguish adjacent objects (such as vehicles and pedestrians). Its compact size allows for easy integration into the confined space of electric vehicles.

[0141] At the same time, it has strong anti-interference capabilities. For example, it is less affected by environmental interference in the high-frequency band, has stable performance in rain and fog, and can detect up to 250 meters.

[0142] In this embodiment, the image acquisition device can employ a 1080P wide-angle camera that supports HDR imaging. To improve alarm accuracy, in low-light environments, the image acquisition device can run a lightweight YOLOv8 model via a neural network processor (NPU) to enhance target detection accuracy.

[0143] Sensors can include, but are not limited to, current sensors and vibration sensors. Current sensors are used to detect the current state when an electric vehicle is charging. Vibration sensors can be used to detect vibrations in an electric vehicle.

[0144] Modular sensor slots enable hot-switching between narrowband IoT and 4G dual-mode.

[0145] The communication module can be a narrowband Internet of Things (NB-IoT) communication module, which can have a built-in eSIM card and supports adjustable communication intervals.

[0146] For example, with a communication interval of 5 minutes, the electric vehicle can send a heartbeat packet to the client every 5 minutes while in standby mode to maintain the connection with the client. When an event is triggered, a connection can be established within 50ms, ensuring the communication efficiency between the electric vehicle and the client.

[0147] The alarm system for this electric vehicle also includes an edge computing module, a cloud platform, a location-based services (LBS) geofencing engine, and a client.

[0148] The edge computing module integrates an STM32H7 and a KP2300 AI coprocessor. It can acquire radar data from radar, first image information from image acquisition devices, and current data from sensors. Based on at least one of the radar data, the first image information, and the current data, it determines a risk event and its corresponding risk level. Based on this, it generates alarm information according to the risk event and its corresponding risk level.

[0149] To improve alarm efficiency, the edge computing module can compress alarm information to obtain compressed alarm information, and then send the compressed alarm information to the cloud platform, which can be an Artificial Intelligence of Things (AIOT) cloud platform.

[0150] In one possible implementation, when the displacement value in the radar data is greater than a first threshold and the first image information includes a preset target, a risk event is determined as a first event, and the risk level corresponding to the first event is a first level. In this case, a first alarm message indicating the existence of the first event can be generated, and an audible and visual alarm mechanism can be activated.

[0151] The edge computing module can compress the first alarm information to obtain compressed first alarm information, and then send the compressed first alarm information to the cloud platform. After receiving the compressed first alarm information, the cloud platform can either send the compressed first alarm information to the client, or decompress the compressed first alarm information and send the decompressed first alarm information to the client.

[0152] After receiving the compressed first alarm message on the client side, the client can decompress the compressed first alarm message and display the decompressed first alarm message. Alternatively, after receiving the decompressed first alarm message on the client side, the client can display the decompressed first alarm message to promptly alert the user to potential risks.

[0153] When the current fluctuation indicated by the current data exceeds a second threshold, a risk event is identified as a second event, and the risk level corresponding to the second event is designated as a second level. In this case, a second alarm message indicating a charging anomaly can be generated based on the second event and second image information acquired by the image acquisition device. The edge computing module can compress the second alarm message to obtain a compressed second alarm message and send the compressed second alarm message to the cloud platform.

[0154] After receiving the compressed second alarm information, the cloud platform can send the compressed second alarm information to the client, or decompress the compressed second alarm information and send the decompressed second alarm information to the client.

[0155] After receiving the compressed second alarm information, the client can decompress and display the decompressed second alarm information. Alternatively, after receiving the decompressed second alarm information, the client can display the decompressed second alarm information to promptly alert the user to potential risks.

[0156] In addition to the two cases mentioned above, the edge computing module can send radar data to the cloud platform.

[0157] For example, the edge computing module can generate a trajectory log of an electric vehicle based on the location information in radar data and send the trajectory log to the cloud platform.

[0158] Similarly, to improve efficiency, the edge computing module can compress the trajectory log during the process of sending the trajectory log to the cloud platform, and then send the compressed trajectory log to the cloud platform.

[0159] After receiving the compressed trajectory log, the cloud platform can decompress the compressed trajectory log and call the LBS geofence engine to determine whether the electric vehicle is outside the preset parking area based on the trajectory log.

[0160] For example, when an electric vehicle is parked near a subway entrance, the preset parking area that matches the parking location of the electric vehicle is a radius of 50 meters centered on the electric vehicle.

[0161] When it is determined that the electric vehicle is outside the preset parking area, the risk event can be identified as a third event, and the risk level corresponding to the third event is third level. In this case, a third alarm message can be generated based on the third image information collected by the image acquisition device and the location information in the radar data, and the third alarm message can be sent to the client.

[0162] After receiving the third alarm information on the client side, the third alarm information can be displayed so as to promptly alert the user to the risk.

[0163] It is understood that the scope of the preset parking area is not specifically limited in this embodiment of the application, and it can be set based on factors such as parking location and electric vehicle battery level. For example, when the electric vehicle battery level is less than 10%, the radius of the current preset parking area can be automatically expanded by 50%.

[0164] In one possible implementation, when the electric vehicle is charging, the charging port can be automatically locked, in which case the user cannot directly unplug the plug.

[0165] In one example, the charging port can be automatically unlocked when the electric vehicle finishes charging or charging is interrupted.

[0166] In another example, the charging port can be unlocked when the owner of the electric vehicle cancels Sentinel Mode or unlocks it in the app.

[0167] When an electric vehicle is charging and its owner has not disabled Sentinel Mode or unlocked it in the application, the edge computing module can generate a fourth alarm message and send it to the cloud platform when a plug-out event is detected.

[0168] The fourth alarm message is used to indicate the presence of a plug-in event, and may include the electric vehicle's identification information and location information to prevent the electric vehicle's related equipment from being tampered with.

[0169] After receiving the fourth alarm message, the cloud platform can send it to the client. Upon receiving the fourth alarm message, the client can display it to promptly alert the user to potential risks.

[0170] like Figure 4 As shown, this figure is a flowchart of another alarm method for electric vehicles provided in an embodiment of this application, including S401-S413.

[0171] S401. Ensure the electric vehicle is turned off.

[0172] S402. Confirm that the Sentinel Mode of the electric vehicle is enabled.

[0173] S403. When vibration or displacement is detected, radar data is obtained by scanning based on radar, and first image information is acquired based on image acquisition equipment.

[0174] The embodiments of this application employ trigger-based alarms, which effectively reduce the standby power consumption of electric vehicles.

[0175] S404. When the electric vehicle is charging, the current data is detected by the sensor, and the charging port is monitored.

[0176] In this embodiment of the application, when the electric vehicle is in the charging state, the charging port of the electric vehicle can be automatically locked. By monitoring the charging port, it is possible to detect whether the charging plug has been forcibly removed.

[0177] S405. Determine the risk level.

[0178] In this embodiment of the application, the risk level can be determined based on at least one of radar data obtained from radar scanning, first image information acquired by an image acquisition device, and current data detected by a sensor.

[0179] For example, in the embodiments of this application, a dual-threshold detection and regional classification judgment model can be used to determine the risk level.

[0180] S406. When the displacement value in the radar data is greater than the first threshold and the first image information includes a preset target, the risk event is determined to be the first event, and the risk level corresponding to the first event is the first level.

[0181] S407. Activate the audible and visual alarm mechanism and send the first alarm message to the client.

[0182] In this embodiment of the application, the first level can be a high-risk level. When the risk event is determined to be the first event and the risk level corresponding to the first event is the first level, the first alarm information can be generated based on the displacement value in the radar data and the first image information, the first alarm information can be sent to the client, and the audible and visual alarm mechanism can be activated.

[0183] S408. When the current fluctuation indicated by the current data is greater than the second threshold, the risk event is determined to be the second event, and the risk level corresponding to the second event is the second level.

[0184] S409. Send a second alarm message to the client.

[0185] In this embodiment of the application, the second level can be a medium risk level. When the risk event is determined to be the second event and the risk level corresponding to the second event is the second level, a second alarm message indicating charging abnormality can be generated based on the second event and the second image information collected by the image acquisition device, and the second alarm message can be sent to the client.

[0186] The second image information can be video recorded based on an image acquisition device.

[0187] S410. When the location information in the radar data indicates that the electric vehicle is outside the preset parking area, the risk event is determined to be a third event, and the risk level corresponding to the third event is the third level.

[0188] S411, Send a third alarm message to the client.

[0189] In this embodiment of the application, the third level can be a low-risk level. When a risk event is determined to be a third event and the risk level corresponding to the third event is the third level, a third alarm message can be generated based on the third image information collected by the image acquisition device and the location information in the radar data, and the third alarm message can be sent to the client.

[0190] Unlike the second image information, since the risk level of the third level is lower than that of the second level, the third image information can be an image captured by an image acquisition device.

[0191] S412. When a plug-out event is detected, a fourth alarm message is generated.

[0192] In this embodiment of the application, when a plug-out event is detected, a fourth alarm message can be generated based on the fourth image information acquired by the image acquisition device and the plug-out event.

[0193] S413. Send the fourth alarm message to the client.

[0194] It is understood that the method provided in this application does not specifically limit the order of risk levels of the first, second and third levels. The above is only an example and can be set according to needs.

[0195] For example, users can set the risk level of each risk level and the corresponding alarm method on the application.

[0196] For example, for the first level, users can set the alarm to be triggered by a ringtone and vibration through the application settings; for the second level, users can set the alarm to be triggered by vibration only through the application settings; and for the third level, users can set the alarm to be triggered by the screen turning on through the application settings.

[0197] In summary, the embodiments of this application combine radar data collected by radar, first image information collected by image acquisition device, and current data collected by sensor during the generation of alarm information, thereby improving the accuracy of alarm information. At the same time, by sending the alarm information to the client of the electric vehicle, the user can perceive the alarm information in a timely manner, effectively improving the safety of the electric vehicle.

[0198] Meanwhile, this embodiment of the application can ensure the safety of the charging process by detecting current data, and can promptly issue an alarm if the plug is forcibly removed by detecting the plug status. The use of trigger-based alarms effectively reduces the standby power consumption of electric vehicles. Based on a geofencing mechanism, the efficiency of electric vehicle parking management is improved.

[0199] This application provides an alarm device for an electric vehicle, see [link to relevant documentation]. Figure 5 The figure is a schematic diagram of the structure of an alarm device for an electric vehicle provided in an embodiment of this application. Its specific implementation method is consistent with the implementation method and the technical effect achieved in the above-mentioned method embodiment, and some contents will not be repeated.

[0200] This application provides an alarm device 5100 for an electric vehicle, comprising:

[0201] The system includes an acquisition unit 5101, a determination unit 5102, a generation unit 5103, and a sending unit 5104.

[0202] The acquisition unit 5101 is used to acquire at least one of radar data acquired by radar, first image information acquired by image acquisition device, and current data acquired by sensor;

[0203] The determining unit 5102 is used to determine a risk event and the risk level corresponding to the risk event based on at least one of the radar data, the first image information and the current data.

[0204] The generation unit 5103 is used to generate alarm information based on the risk event and the risk level corresponding to the risk event;

[0205] The sending unit 5104 is used to send the alarm information to the client of the electric vehicle.

[0206] In one possible implementation, the determining unit is specifically used for:

[0207] When the displacement value in the radar data is greater than a first threshold and the first image information includes a preset target, the risk event is determined to be the first event, and the risk level corresponding to the first event is the first level.

[0208] When the current fluctuation indicated by the current data is greater than the second threshold, the risk event is determined to be the second event, and the risk level corresponding to the second event is the second level.

[0209] When the location information in the radar data indicates that the electric vehicle is outside the preset parking area, the risk event is determined to be the third event, and the risk level corresponding to the third event is the third level.

[0210] In one possible implementation, the generating unit is specifically used for:

[0211] When the risk event is the first event and the risk level corresponding to the first event is the first level, a first alarm message is generated and an audible and visual alarm mechanism is activated. The first alarm message is used to indicate the existence of the first event.

[0212] When the risk event is the second event and the risk level corresponding to the second event is the second level, a second alarm message is generated based on the second event and the second image information collected by the image acquisition device. The second alarm message is used to indicate charging abnormality.

[0213] When the risk event is a third event and the risk level corresponding to the third event is a third level, a third alarm message is generated based on the third image information collected by the image acquisition device and the location information in the radar data.

[0214] In one possible implementation, the acquiring unit is specifically used for:

[0215] When the electric vehicle is turned off, the activation status of Sentry Mode is detected.

[0216] When it is determined that the sentry mode is enabled, at least one of the following is acquired: radar data collected by the radar, first image information collected by the image acquisition device, and current data collected by the sensor.

[0217] In one possible implementation, the acquiring unit is specifically used for:

[0218] When a vibration event and / or displacement event is detected, acquire radar data collected by the radar and first image information acquired by the image acquisition device;

[0219] When the electric vehicle is charging, the current data collected by the sensors is acquired.

[0220] In one possible implementation, the device further includes: a locking unit;

[0221] The locking unit is used to lock the charging port of the electric vehicle;

[0222] The generation unit is also configured to generate a fourth alarm message when a plug-out event is detected;

[0223] The sending unit is also used to send the fourth alarm information to the electric vehicle's client.

[0224] In one possible implementation, the generating unit is specifically used for:

[0225] When a plug-out event is detected, a fourth alarm message is generated based on the fourth image information acquired by the image acquisition device and the plug-out event.

[0226] In one possible implementation, the device further includes a heartbeat packet sending unit;

[0227] The heartbeat packet sending unit is used to send heartbeat packets to the client at preset time intervals.

[0228] In summary, the embodiments of this application combine radar data collected by radar, first image information collected by image acquisition device, and current data collected by sensor during the generation of alarm information, thereby improving the accuracy of alarm information. At the same time, by sending the alarm information to the client of the electric vehicle, the user can perceive the alarm information in a timely manner, effectively improving the safety of the electric vehicle.

[0229] This application provides an electric vehicle for performing the steps of an electric vehicle alarm method as described above.

[0230] This application provides a computer device, which includes a processor and a memory;

[0231] The memory is used to store program code and transmit the program code to the processor;

[0232] The processor is used to execute the steps of an electric vehicle alarm method as described above, according to the instructions in the program code.

[0233] For example, the processor acquires at least one of radar data collected by radar, first image information collected by an image acquisition device, and current data collected by a sensor; it can determine a risk event and the risk level corresponding to the risk event based on at least one of the radar data, the first image information, and the current data; based on the risk event and the risk level corresponding to the risk event, it generates alarm information and sends the alarm information to the client of the electric vehicle.

[0234] This application provides a computer-readable storage medium storing a computer program, which, when executed by a processor, implements the steps of an alarm method for an electric vehicle as described above.

[0235] This application provides a computer program product that, when run on a computer, executes the steps of an electric vehicle alarm method as described above.

[0236] This application provides a chip including a processor coupled to a memory for executing a computer program or instructions stored in the memory, thereby enabling the chip to implement the steps of an electric vehicle alarm method as described above.

[0237] It should be noted that the various embodiments in this specification are described in a progressive manner, and the same or similar parts between the various embodiments can be referred to mutually. Each embodiment focuses on describing the differences from other embodiments. In particular, for the device and system embodiments, since they are basically similar to the method embodiments, the description is relatively simple, and the relevant parts can be referred to the description of the method embodiments. The device and system embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate, and the components indicated as units may or may not be physical units, that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of the solution in this embodiment according to actual needs. Those skilled in the art can understand and implement this without creative effort.

[0238] The above description is merely one specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the technical scope disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

Claims

1. A warning method for an electric vehicle, characterized by, The electric vehicle is equipped with radar, image acquisition equipment, and sensors, and the method includes: Acquire at least one of the following: radar data acquired by radar, first image information acquired by image acquisition equipment, and current data acquired by sensor; Based on at least one of the radar data, the first image information, and the current data, a risk event and the risk level corresponding to the risk event are determined. Based on the risk event and the corresponding risk level, an alarm message is generated and sent to the client of the electric vehicle.

2. The method according to claim 1, characterized in that, The step of determining a risk event and its corresponding risk level based on at least one of the radar data, the image information, and the current data includes: When the displacement value in the radar data is greater than a first threshold and the first image information includes a preset target, the risk event is determined to be the first event, and the risk level corresponding to the first event is the first level. When the current fluctuation indicated by the current data is greater than the second threshold, the risk event is determined to be the second event, and the risk level corresponding to the second event is the second level. When the location information in the radar data indicates that the electric vehicle is outside the preset parking area, the risk event is determined to be the third event, and the risk level corresponding to the third event is the third level.

3. The method according to claim 2, characterized in that, The generation of alarm information based on the risk event and the corresponding risk level includes: When the risk event is the first event and the risk level corresponding to the first event is the first level, a first alarm message is generated and an audible and visual alarm mechanism is activated. The first alarm message is used to indicate the existence of the first event. When the risk event is the second event and the risk level corresponding to the second event is the second level, a second alarm message is generated based on the second event and the second image information collected by the image acquisition device. The second alarm message is used to indicate charging abnormality. When the risk event is a third event and the risk level corresponding to the third event is a third level, a third alarm message is generated based on the third image information collected by the image acquisition device and the location information in the radar data.

4. The method according to claim 1, characterized in that, The acquisition of at least one of radar data acquired by radar, first image information acquired by image acquisition device, and current data acquired by sensor includes: When the electric vehicle is turned off, the activation status of Sentry Mode is detected. When it is determined that the sentry mode is enabled, at least one of the following is acquired: radar data collected by the radar, first image information collected by the image acquisition device, and current data collected by the sensor.

5. The method according to claim 1, characterized in that, The acquisition of at least one of radar data acquired by radar, first image information acquired by image acquisition device, and current data acquired by sensor includes: When a vibration event and / or displacement event is detected, acquire radar data collected by the radar and first image information acquired by the image acquisition device; When the electric vehicle is charging, the current data collected by the sensors is acquired.

6. The method according to claim 5, characterized in that, After acquiring the current data collected by the sensor when the electric vehicle is in a charging state, the method further includes: Lock the charging port of the electric vehicle; When a plug-out event is detected, a fourth alarm message is generated and sent to the electric vehicle's client.

7. The method according to claim 6, characterized in that, When a plug-out event is detected, a fourth alarm message is generated, including: When a plug-out event is detected, a fourth alarm message is generated based on the fourth image information acquired by the image acquisition device and the plug-out event.

8. The method according to any one of claims 1-7, characterized in that, The method further includes: A heartbeat packet is sent to the client at preset intervals.

9. An alarm device for an electric vehicle, characterized in that, include: Acquisition unit, determination unit, generation unit, and transmission unit; The acquisition unit is used to acquire at least one of radar data acquired by the radar, first image information acquired by the image acquisition device, and current data acquired by the sensor. The determining unit is configured to determine a risk event and the risk level corresponding to the risk event based on at least one of the radar data, the first image information, and the current data. The generation unit is used to generate alarm information based on the risk event and the risk level corresponding to the risk event; The sending unit is used to send the alarm information to the client of the electric vehicle.

10. An electric vehicle, characterized in that, The electric vehicle is used to perform the steps of an alarm method for an electric vehicle as described in any one of claims 1-8.

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