CN112373479B - Vehicle monitoring method and device and vehicle - Google Patents

Abstract

The application discloses a vehicle monitoring method, a vehicle monitoring device and a vehicle, wherein the method comprises the steps of responding to a monitoring instruction of the health state of a target passenger, and acquiring seat monitoring information of a seat where the target passenger is located; acquiring the temperature in the vehicle and the temperature difference between the inside and the outside of the vehicle; determining health data of a target passenger according to the seat monitoring information, the temperature in the vehicle and the temperature difference between the inside and the outside of the vehicle; feeding back the determined health data to the target occupant. The method and the device can realize automatic monitoring of health data of the target passenger, can timely present the health monitoring data to the user, and solve the problems of manual measurement error and inconvenience and the like in the prior art by using a measuring tool.

Description

A vehicle monitoring method, device and vehicle

technical field

The present application relates to the technical field of vehicles, and in particular, to a vehicle monitoring method, device, and vehicle.

Background technique

With the improvement of living standards and the gradual increase in the number of means of transportation, the amount of exercise of drivers and passengers has become less and less, resulting in a series of health problems, and people's attention to life and health is constantly increasing. In daily life, people need to pay attention to their health status at all times in order to carry out health management. However, in order to know the current health status, people usually need to take the initiative to use additional measurement tools for manual measurement, which will not only generate some manual measurement errors, but also need to use measurement tools to increase additional health management costs, and also bring some The inconvenience in measurement leads to a poor experience and is not conducive to people's reasonable and efficient management of their own health.

Therefore, it is particularly necessary to provide a vehicle monitoring method, device and vehicle with a health monitoring function.

SUMMARY OF THE INVENTION

Based on this, the purpose of the present application is to provide a vehicle monitoring method, device and vehicle to solve at least one of the above technical problems. The technical solution is as follows:

On the one hand, the present application also provides a vehicle monitoring method, comprising:

In response to the monitoring instruction on the health state of the target occupant, obtain seat monitoring information of the seat where the target occupant is located, where the seat monitoring information includes seat position information, seat belt length information and seat load-bearing information;

Get the temperature inside the car and the temperature difference inside and outside the car;

Determine the health data of the target occupant according to the seat monitoring information, the temperature inside the vehicle, and the temperature difference between the inside and outside of the vehicle;

The determined health data is fed back to the target occupant.

In a possible implementation manner, the determining of the health data of the target occupant according to the seat monitoring information, the temperature inside the vehicle, and the temperature difference between the inside and outside of the vehicle includes:

Determine the weight data of the target occupant according to the seat load-bearing information, the temperature inside the vehicle and the temperature difference between the inside and outside of the vehicle;

Determine the waist circumference data of the target occupant according to the seat position information, the seat belt length information, the temperature inside the vehicle and the temperature difference between the inside and outside of the vehicle;

The weight data of the target occupant and the waist circumference data of the target occupant are combined to obtain health data of the target occupant.

In a possible implementation manner, the determining of the weight data of the target occupant according to the seat load-bearing information, the temperature inside the vehicle, and the temperature difference between inside and outside the vehicle includes:

Collect the floor bearing pressure value of the interior floor used to support the legs of the target occupant;

Determine the target weight correction coefficient based on the floor bearing pressure value, the temperature inside the vehicle, and the temperature difference between the inside and outside of the vehicle;

According to the seat weight information and the target weight correction coefficient, the weight data of the target occupant is obtained.

In a possible implementation manner, the seat position information includes seat adjustment information of the seat in the space position; the seat position information, seat belt length information, interior temperature and interior and exterior temperature difference , determine the waist circumference data of the target occupant including:

determining a target waist circumference correction coefficient based on the seat adjustment information, the temperature inside the vehicle, and the temperature difference between the inside and outside of the vehicle;

According to the seat belt length information and the target waist circumference correction coefficient, the weight data of the target occupant is obtained.

In a possible implementation, the method further includes:

Get current monitoring time information;

determining the time correction factor of the health data corresponding to the current monitoring time information based on the mapping relationship between the monitoring time and the monitoring data;

Before feeding back the determined health data to the target occupant, the method further includes:

Correcting the determined health data according to the time correction factor to obtain revised health data;

Correspondingly, the determined health data fed back to the target occupant includes:

According to the preset feedback cycle, the revised health data is fed back to the target occupant.

In a possible implementation, the method further includes:

Identify the target user and obtain the target identity information of the target user;

obtaining historical health data corresponding to the target identity information;

comparing the health data of the target user with the corresponding historical health data;

Generate monitoring reports describing user health trends based on the comparison results;

The monitoring report is fed back to the target user.

In a possible implementation, the method further includes:

Identify the target user and obtain the target identity information of the target user;

obtaining desired health data corresponding to the target identity information;

calculating the difference between the target user's health data and the corresponding expected health data;

If the difference exceeds the preset threshold, obtain the current position information of the vehicle;

Find the target object that matches the acquired current location information;

The target object is recommended to the target user.

On the other hand, the present application provides a vehicle monitoring device, comprising:

The monitoring information acquisition module is configured to acquire seat monitoring information of the seat where the target occupant is located in response to the monitoring instruction on the health state of the target occupant, the seat monitoring information including seat position information, seat belt length information and seat Chair weight information;

a temperature acquisition module, configured to acquire the temperature inside the vehicle and the temperature difference between the inside and outside of the vehicle;

a monitoring data determination module, configured to determine the health data of the target occupant according to the seat monitoring information, the temperature inside the vehicle, and the temperature difference between the inside and outside of the vehicle;

A monitoring data feedback module is configured to feed back the determined health data to the target occupant.

In a possible implementation, the monitoring data determination module includes:

a first data determination submodule, configured to determine the weight data of the target occupant according to the seat load-bearing information, the temperature inside the vehicle, and the temperature difference between the inside and outside of the vehicle;

The second data determination sub-module is configured to determine the waist circumference data of the target occupant according to the seat position information, the seat belt length information, the temperature inside the vehicle, and the temperature difference between the inside and outside of the vehicle;

The data merging and determining submodule is configured to merge the weight data of the target occupant and the waist circumference data of the target occupant to obtain health data of the target occupant.

In a possible implementation, the first data determination submodule includes:

a pressure acquisition unit configured to acquire a floor bearing pressure value of the vehicle interior floor used to support the legs of the target occupant;

a first correction coefficient determination unit, configured to determine a target weight correction coefficient based on the floor bearing pressure value, the temperature inside the vehicle, and the temperature difference between the inside and outside of the vehicle;

The first data determination unit is configured to obtain weight data of the target occupant according to the seat load bearing information and the target weight correction coefficient.

In a possible implementation manner, the seat position information includes seat adjustment information of the seat in the spatial position; the second data determination submodule includes:

a second correction coefficient determination unit configured to determine a target waist circumference correction coefficient based on the seat adjustment information, the temperature inside the vehicle, and the temperature difference between the inside and outside of the vehicle;

The second data determination unit is configured to obtain weight data of the target occupant according to the seat belt length information and the target waist circumference correction coefficient.

In a possible implementation, the apparatus further includes:

The monitoring time obtaining module is configured to obtain the current monitoring time information;

The time correction factor determination module is configured to determine the time correction factor of the health data based on the mapping relationship between the monitoring time and the monitoring data;

a monitoring data correction module, configured to correct the determined health data according to the time correction factor to obtain corrected health data;

Correspondingly, the monitoring data feedback module is specifically configured as:

According to the preset feedback cycle, the revised health data is fed back to the target occupant.

In a possible implementation, the apparatus further includes:

The first identity recognition module is configured to identify the target user and obtain the target identity information of the target user;

A historical data acquisition module, configured to acquire historical health data corresponding to the target identity information;

a comparison module, configured to compare the health data of the target user with the corresponding historical health data;

The monitoring report generation module is configured to generate a monitoring report for describing the user's health trend according to the comparison result;

The monitoring report feedback module is configured to feed back the monitoring report to the target user.

In a possible implementation, the apparatus further includes:

The first identity recognition module is configured to identify the target user and obtain the target identity information of the target user;

A desired data acquisition module, configured to acquire desired health data corresponding to the target identity information;

a calculation module configured to calculate the difference between the target user's health data and the corresponding expected health data;

a location information acquisition module, configured to acquire the current location information of the vehicle if the difference exceeds a preset threshold;

a search module, configured to search for a target object matching the acquired current location information;

The recommendation module is configured to recommend the target object to the target user.

In another aspect, the present application also provides a vehicle, the vehicle comprising any one of the vehicle monitoring devices described above.

On the other hand, the present application also provides a computer device, comprising:

one or more processors;

one or more memories for storing the one or more processor-executable instructions;

Wherein, the one or more processors are configured to perform any of the vehicle monitoring methods described above.

On the other hand, the present application also provides a computer-readable storage medium, when the instructions in the computer-readable storage medium are executed by the processor of the computer device, the computer device can perform the vehicle monitoring described in any one of the above method.

A vehicle monitoring method, device and vehicle provided by the present application at least have the following beneficial effects:

The vehicle monitoring method provided by the embodiment of the present application includes, in response to a monitoring instruction for the health state of the target occupant, acquiring seat monitoring information of the seat where the target occupant is located, where the seat monitoring information includes seat position information, seat belt length information and seat load-bearing information; obtain the temperature inside the vehicle and the temperature difference between inside and outside the vehicle; determine the health data of the target occupant according to the seat monitoring information, the temperature inside the vehicle and the temperature difference inside and outside the vehicle; and feed back the determined health data to the target occupant . By using the original on-board components of the vehicle, the present application can realize the automatic monitoring of the health data of the target occupants without adding additional health devices and excessive data interfaces, and can present the health monitoring data to the user in time, It solves the problems of manual measurement error and inconvenience in the prior art by using measurement tools; improves the user's riding experience and vehicle intelligence, and is conducive to people's reasonable and efficient management of their own health; at the same time, it gives the vehicle health additional The function is especially suitable for people who are more and more concerned about their health, and has wide application prospects.

It is to be understood that the foregoing general description and the following detailed description are exemplary only and do not limit the application.

Description of drawings

In order to more clearly illustrate the technical solutions and advantages in the embodiments of the present application or in the prior art, the following briefly introduces the accompanying drawings used in the description of the embodiments or the prior art. Obviously, the accompanying drawings in the following description The drawings are only some embodiments of the present application. For those of ordinary skill in the art, other drawings can also be obtained based on these drawings without any creative effort.

1 is a schematic diagram of an application environment of a vehicle monitoring method provided by an embodiment of the present application;

FIG. 2 is a flowchart of a vehicle monitoring method provided by an embodiment of the present application;

3 is a flowchart of S2062 in a vehicle monitoring method provided by an embodiment of the present application;

4 is a flowchart of S2064 in a vehicle monitoring method provided by an embodiment of the present application;

FIG. 5 is a block diagram of a vehicle monitoring device provided by an embodiment of the present application.

The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the application and together with the description serve to explain the principles of the application.

Detailed ways

In order to make the objectives, technical solutions and advantages of the present application clearer, the present application will be further described in detail below with reference to the accompanying drawings. Obviously, the described embodiment is only one embodiment of the present application, rather than all the embodiments. Based on the embodiments in this application, all other embodiments obtained by those of ordinary skill in the art without creative work fall within the protection scope of this application.

Reference herein to "one embodiment" or "an embodiment" refers to a particular feature, structure, or characteristic that may be included in at least one implementation of the present application. In the description of the present application, it should be understood that the orientations or positional relationships indicated by the terms "upper", "lower", "left", "right", "top", "bottom", etc. are based on those shown in the accompanying drawings The orientation or positional relationship is only for the convenience of describing the present application and simplifying the description, rather than indicating or implying that the referred device or element must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be construed as a limitation on the present application. In addition, the terms "first" and "second" are only used for descriptive purposes, and should not be construed as indicating or implying relative importance or implying the number of indicated technical features. Thus, a feature defined as "first" or "second" may expressly or implicitly include one or more of that feature. Also, the terms "first," "second," etc. are used to distinguish between similar objects, and are not necessarily used to describe a particular order or precedence. It is to be understood that data so used may be interchanged under appropriate circumstances such that the embodiments of the application described herein can be practiced in sequences other than those illustrated or described herein.

The methods, devices, and systems involved in the embodiments of the present application will be described in detail below with reference to the accompanying drawings.

FIG. 1 is a schematic diagram of an application environment of a vehicle monitoring method provided by an embodiment of the present application; FIG. 2 is a flowchart of a vehicle monitoring method provided by an embodiment of the present application. The method is applied to a terminal, and can be specifically executed by a vehicle monitoring device, the device can be implemented by means of software and/or hardware, and the device can be integrated in the terminal. Referring to Figures 1 and 2, the method may include:

S202, in response to the monitoring instruction on the health state of the target occupant, obtain seat monitoring information of the seat where the target occupant is located, where the seat monitoring information includes seat position information, seat belt length information and seat load bearing information.

The seat position information is used to reflect the position data obtained by adjusting the position of the seat where the target occupant is located. The target occupant may be a driver or an occupant or the like. The seat is preferably a seat equipped with a seat belt, such as a driver's seat, a passenger seat, or a rear seat equipped with a seat belt. It should be noted that the safety belt involved in this application may be a three-point safety belt, or other safety belts that need to be worn on the waist.

In an optional embodiment, the initial seat position of the seat may be used as the reference seat position, and the initial seat position may be the position set when the vehicle leaves the factory. Usually, the target occupant will adjust the position of the seat, such as front and rear adjustment, height adjustment, seat back pitch angle adjustment, etc., according to the personal shape and comfort requirements when riding the vehicle. At this time, the seat position information may be relative data with respect to the reference seat position. For example, if the driving direction is the X-axis direction, the seat position information may include relative position data of the X-axis front and rear adjustment, relative position data of the Z-axis height adjustment, and the like. The value of the seat position information can be positive, negative or zero.

The seat belt length information is used to reflect the safety retraction length of the automatic retraction system of the seat belt worn by the target occupant. Specifically, after the target occupant wears the seat belt, the automatic retraction system will tighten the seat belt according to a predetermined tightening force, and record the unwinding length L of the seat belt at this time after the tightening is completed. It should be understood that, in order to avoid repeated recording, each time the vehicle is started, only the unwinding length L of the seat belt is recorded for a predetermined number of times, and the predetermined number of times may be 1 or 3 to 8 times.

The seat weight information is used to reflect the force of the seat where the target occupant is located. When the target occupant sits on the seat, a larger part of the target occupant's weight is borne by the seat cushion. By installing at least one seat occupancy sensor under the seat cushion, the seat occupancy sensor can be used to detect the seat of the target occupant. According to the force of the chair, the weight value of the target occupant can be obtained with myopia. The detection principle of the seat occupancy sensor is through the principle of force-sensitive resistance, and its resistance changes with the change of the force.

For convenience, the seat belt length information is subsequently recorded as L, and the seat load-bearing information is recorded as m1.

S204, acquiring the temperature inside the vehicle and the temperature difference between the inside and outside of the vehicle.

In one embodiment, the temperature inside the vehicle and the temperature outside the vehicle can be obtained through a temperature sensor (for example, the inside temperature sensor and the outside temperature sensor in FIG. 1 ), or first collected through the vehicle air conditioning module, and then the data is collected through the vehicle network. transmission. The in-vehicle network includes, but is not limited to, a CAN network, a LIN network or other common in-vehicle networks.

The temperature difference between the inside and outside of the vehicle can be obtained by calculating the difference between the actual temperature inside the vehicle and the actual temperature outside the vehicle. The temperature difference between the inside and outside of the vehicle can be positive, negative or zero.

S206: Determine the health data of the target occupant according to the seat monitoring information, the temperature inside the vehicle, and the temperature difference between the inside and outside the vehicle.

The health data of the target occupant may include, but not limited to, waist circumference data, weight data and the like of the target occupant.

In a specific embodiment, determining the health data of the target occupant according to the seat monitoring information, the temperature inside the vehicle, and the temperature difference between the inside and outside the vehicle may include:

S2062: Determine the waist circumference data of the target occupant according to the seat position information, the seat belt length information, the temperature inside the vehicle, and the temperature difference between the inside and outside the vehicle.

Optionally, the seat position information includes seat adjustment information of the seat in the spatial position. For example, the seat adjustment information may include the position adjustment coordinates of the seat relative to the vehicle, that is, the first position adjustment coordinates of the seat relative to the vehicle in the X-axis direction, and the second position adjustment coordinates in the Z direction.

Correspondingly, determining the waist circumference data of the target occupant according to the seat position information, the seat belt length information, the temperature inside the vehicle and the temperature difference between the inside and outside of the vehicle may include:

S302 , determining a target waist circumference correction coefficient based on the seat adjustment information, the temperature inside the vehicle, and the temperature difference between the inside and outside the vehicle.

Specifically, the target waist circumference correction coefficient Q may include a first waist circumference correction coefficient (denoted as K1) and a second waist circumference correction coefficient (denoted as K3). Wherein, the first waist circumference correction coefficient K1 reflects the detection deviation of the current seat adjustment position of the seat belt on the unwinding length of the seat belt. The second waist circumference correction coefficient K3 reflects the detection deviation of the waist circumference caused by the temperature difference between the inside and outside of the vehicle, and the second waist circumference correction coefficient K3 can be determined according to the temperature inside the vehicle and the temperature difference between the inside and outside of the vehicle.

In an optional embodiment, the value range of the first waist circumference correction coefficient K1 may be [0, 0.2], that is, the unwinding length of the seat belt caused by the adjustment of the seat position will cause a deviation of 20%. For example, when the seat is adjusted to the rearmost end on the sliding rail, the first waist circumference correction coefficient K1 takes the value of 0; when the seat is adjusted forwardly on the sliding rail to the front end, the first waist circumference correction coefficient The value of K1 is 0.2. As for the specific value of K1 corresponding to other adjustment positions of the seat, it can be determined in any of the following ways: 1) Divide the entire length of the seat rail into 5 grades, and each grade corresponds to a different first waist circumference correction coefficient , for example, the values of the first waist circumference correction coefficient K1 are five levels of 0, 0.04, 0.08, 0.12, 0.16, and 0.2, respectively. When the seat is adjusted to the position of the corresponding level on the slide rail, the value of the first waist circumference correction coefficient K1 corresponding to the position level is selected. 2) Pre-establish a linear relationship between the seat adjustment position data and the first waist circumference correction coefficient, and then determine the first waist circumference correction coefficient K1 corresponding to the seat adjustment information of the current seat according to the pre-established linear relationship.

In an optional embodiment, the value of the second waist circumference correction coefficient K3 may be [-0.1, 0], that is, the deviation between the second waist circumference correction coefficient K3 and the actual measured waist circumference has a deviation range of plus or minus 10%. The clothing of the occupants in the car will be affected by temperature changes. If the temperature is low, the occupants will wear more clothes, and the length of the seat belt will be longer. On the contrary, if the temperature is higher, the occupant wears less clothes, and the unwinding length of the seat belt is shorter. The value of the inside and outside temperature sensors can reflect the temperature environment difference inside and outside the vehicle, and then the second waist circumference correction coefficient K3 can be determined.

In an optional embodiment, after the first waist circumference correction coefficient K1 and the second waist circumference correction coefficient K3 are determined, the target waist circumference correction coefficient Q is obtained by calculating the sum of the two.

It should be noted that, in other optional embodiments, the specific values of the first waist circumference correction coefficient K1 and the second waist circumference correction coefficient K3 are not limited to this, and can be adjusted adaptively according to actual conditions.

S304, obtain waist circumference data of the target occupant according to the seat belt length information and the target waist circumference correction coefficient.

Specifically, a sensor configured on the seat belt can detect the length information L of the seat belt that is rolled out by the seat belt, and then use the target waist circumference correction coefficient Q to modify the length information L of the seat belt. The information L is multiplied by the determined target waist circumference correction coefficient Q, that is, the waist circumference data of the target occupant is obtained.

S2064: Determine the weight data of the target occupant according to the seat load-bearing information, the temperature inside the vehicle, and the temperature difference between the inside and outside the vehicle.

Optionally, determining the weight data of the target occupant according to the seat load-bearing information, the temperature inside the vehicle, and the temperature difference between the inside and outside of the vehicle may include:

S402: Collect a floor bearing pressure value of the vehicle interior floor used to support the legs of the target occupant.

Specifically, a pressure sensor may be installed on the interior floor of the vehicle in front of the seat where the target occupant is located, and the floor bearing pressure value of the floor supporting the legs of the target occupant is collected through the pressure sensor. The floor bearing pressure value (denoted as m2) can take a value of 0≤m2≤M, where M is the weight of the target occupant.

S404: Determine the target weight correction coefficient based on the floor bearing pressure value, the temperature inside the vehicle, and the temperature difference between the inside and outside of the vehicle.

Specifically, the target body weight correction coefficient P may include a first body weight correction coefficient (denoted as k2) and a second waist circumference weight coefficient (denoted as k4). The first weight correction coefficient k2 is used to reflect the detection deviation caused by the temperature inside and outside the vehicle, and is determined according to the temperature inside the vehicle and the temperature difference between the inside and outside of the vehicle. The second weight correction coefficient k4 is used to reflect the detection deviation of the seat occupancy sensor, which is determined according to the floor bearing pressure value.

For example only, the value of the first body weight correction coefficient k2 may be [-0.1, 0]. Generally speaking, the clothing of occupants in the car will be affected by temperature changes. When the temperature is lower, the more clothes they wear, the larger the force recognized by the occupancy sensor. When the temperature is warmer, less clothing is worn, and less force is detected by the occupancy sensor.

For example only, the value of the second body weight correction coefficient k4 may be [0, 0.05]. In one embodiment, the second weight correction coefficient may be determined according to a ratio between the floor bearing pressure value m2 and the seat bearing information m1.

Generally speaking, when the person in the car sits on the seat, the small part of the body weight is shared by the feet on the carpet, so it is inaccurate to rely solely on the seat occupancy sensor to reflect the weight of the person, and it is necessary to pass the second weight. Correction coefficient K4 deviation coefficient is used to correct the weight value.

In an optional embodiment, after the first weight correction coefficient K2 and the second weight correction coefficient K4 are determined, the target weight correction coefficient P is obtained by calculating the sum of the two.

S406: Obtain weight data of the target occupant according to the seat weight information and the target weight correction coefficient.

Specifically, the seat load-bearing information m1 can be detected by the seat sensor, and then the seat load-bearing information m1 can be corrected by using the target weight correction coefficient P. For example, the seat load-bearing information m1 can be combined with the determined target weight correction coefficient. Multiplying P to get the weight data of the target occupant.

S2066, combine the weight data of the target occupant and the waist circumference data of the target occupant to obtain health data of the target occupant.

Specifically, the identification of the target occupant is detected, weight data and waist circumference data corresponding to the identification are extracted, the extracted data are combined to obtain health data of the target occupant, and the obtained health data is output to the target occupant.

S208. Feed back the determined health data to the target occupant.

Specifically, after obtaining the health data of the target occupant, it can be displayed through voice broadcast, on-board terminal, on-board multimedia, instrument display panel, etc., and the determined health data can also be fed back by communicating with the target terminal.

In one embodiment, the monitored health data can be compared with the historical health data through the T-BOX, and transmitted to the owner's mobile phone through the back-end server cloud, so as to feed back the determined health data to the target occupant.

By using the original on-board components of the vehicle, the present application can realize automatic monitoring of the health data of the target occupants without adding additional health devices and excessive data interfaces, and can present the health monitoring data to the user in time, It solves the problems of manual measurement error and inconvenience in the prior art by using measurement tools; improves the user's riding experience and vehicle intelligence, and is conducive to people's reasonable and efficient management of their own health; at the same time, it gives the vehicle health additional The function is especially suitable for people who are more and more concerned about their health, and has wide application prospects.

This application judges the driver's body shape based on the retractable length of the seat belt, and judges whether the weight has changed based on the occupancy sensor. At the same time, it makes full use of the vehicle's own sensor information to correct the detected health data, and uses the vehicle's own data connection interface. Carry out data communication to improve the measurement accuracy of the occupant's health data, so that the occupant can pay attention to the changes in their body and weight in time, and formulate a body maintenance plan to ensure that people can manage their own health reasonably and effectively.

In addition, this application calculates the approximate value of the target occupant's weight and waist circumference. At the same time, the weight change is a long-term slow change process. Interactive communication between the vehicle and the segment can be performed. By analyzing the health data recorded in the cloud, the vehicle audio and video entertainment system Reminding the target occupants to exercise or eat healthy to maintain their body and weight, so as to maintain their health, has a certain practical reference value.

In some optional embodiments, the method further includes:

Get current monitoring time information;

Based on the mapping relationship between the monitoring time and the monitoring data, the time correction factor of the health data corresponding to the current monitoring time information is determined.

Correspondingly, before feeding back the determined health data to the target occupant, the method further includes:

The determined health data is corrected according to the time correction factor to obtain the corrected health data.

Correspondingly, the determined health data fed back to the target occupant includes:

According to the preset feedback cycle, the revised health data is fed back to the target occupant.

Among them, the time correction factor is used to reflect the deviation of monitoring time to weight data and waist circumference data. This is due to differences in the target occupant's weight and waist measurements at different times of the day. For example, there are usually some differences in the point of eating in the morning, noon and evening, especially for the detection of waist circumference. The vehicle CAN bus itself has time information. Therefore, the present application obtains the current monitoring time information through the CAN bus. After that, the time correction factor corresponding to the current monitoring time information is determined by using the mapping relationship between the monitoring time and the monitoring data. The time correction factor may include a time deviation coefficient of weight measurement value K5, and a time deviation coefficient of waist circumference measurement value of K6. Afterwards, the weight data and the waist circumference data are corrected by using the time deviation coefficient K5 and the time deviation coefficient K6 respectively to obtain the revised health data. Since the changes in the weight and waist circumference of the occupants do not change all the time, in order to reduce the redundancy of feedback data, the revised health data can be fed back according to a preset feedback cycle. The preset feedback period may include, but is not limited to, a preset hour, a preset number of days, a preset feedback period, and the like. The present application makes full use of the original data information of the vehicle to correct the health data, so that the health data finally determined is more accurate.

In some optional embodiments, the method may further include:

Identify the target user and obtain the target identity information of the target user;

obtaining historical health data corresponding to the target identity information;

comparing the health data of the target user with the corresponding historical health data;

Generate monitoring reports describing user health trends based on the comparison results;

The monitoring report is fed back to the target user.

Specifically, the target user can be identified through the identification module to obtain the target identity information of the target user. The identity recognition module includes, but is not limited to, at least one of a face recognition module, a voiceprint recognition module, a pupil recognition module, a fingerprint recognition module, and a login information recognition module, so as to perform face recognition, identity recognition, and fingerprint recognition on the target user. , pupil identification and login identification to obtain the target identity information bound to the user, and then obtain the health data comparison result by comparing the target user's historical health data and the currently monitored health data, and then according to the comparison As a result, a monitoring report for describing the user's health trend is generated and fed back to the target user, so that the target user can know the change trend of their own health data in time, which is convenient for targeted health management and improves the user's riding experience.

In some optional embodiments, the method may further include:

Identify the target user and obtain the target identity information of the target user;

obtaining desired health data corresponding to the target identity information;

calculating the difference between the target user's health data and the corresponding expected health data;

If the difference exceeds the preset threshold, obtain the current position information of the vehicle;

Find the target object that matches the acquired current location information;

The target object is recommended to the target user.

Specifically, the target user may be a healthy object, such as a driver, a passenger, and the like. In the process of identity recognition, the target user can be obtained through the identity recognition module to obtain the target identity information of the target user. The identity recognition module includes, but is not limited to, at least one of a face recognition module, a voiceprint recognition module, a fingerprint recognition module, a pupil recognition module, and a login information recognition module, so as to perform face recognition, identity recognition, and fingerprint recognition on the target user. , pupil identification and login identification to obtain target identification information bound to the user. After acquiring the target identity information, desired health data corresponding to the target identity information can be acquired, where the desired health data includes but is not limited to at least one of desired weight data, desired waist circumference data, etc. The desired health data may be numerical values or range values. After that, by calculating the difference between the target user's desired health data and the currently monitored health data, if the difference exceeds a preset threshold, obtain the current position of the vehicle through the vehicle-mounted navigation system or the mobile terminal carried by the vehicle user information, and find the address information of the target object that matches the current location information, the target object includes but is not limited to gyms, swimming pools, gymnasiums and other sports venues. Then, the address information corresponding to the target object can be recommended to the target user in time, and at the same time, the user can be reminded of the weight and waist circumference changes through the sound and light of the vehicle terminal, so as to attract the user's attention; thus enabling the target user to carry out targeted health management in a timely manner, further Improve the user's riding experience.

The following are apparatus embodiments of the present application, which can be used to execute the above method embodiments of the present application. For details and beneficial effects not disclosed in the device embodiments of the present application, please refer to the method embodiments of the present application.

Please refer to FIG. 5 , which shows a block diagram of a vehicle monitoring device provided by an embodiment of the present application. The vehicle monitoring device has the functions of implementing the above method examples, and the functions can be implemented by hardware, or by executing corresponding software by hardware. The vehicle monitoring device 500 may include:

The monitoring information acquisition module 510 is configured to acquire seat monitoring information of the seat where the target occupant is located in response to the monitoring instruction for the health state of the target occupant, where the seat monitoring information includes seat position information, seat belt length information and seat weight information;

a temperature obtaining module 520, configured to obtain the temperature inside the vehicle and the temperature difference between the inside and outside of the vehicle;

The monitoring data determination module 530 is configured to determine the health data of the target occupant according to the seat monitoring information, the temperature inside the vehicle, and the temperature difference between the inside and outside the vehicle;

A monitoring data feedback module 540 is configured to feed back the determined health data to the target occupant.

In a possible implementation, the monitoring data determination module includes:

a first data determination submodule, configured to determine the weight data of the target occupant according to the seat load-bearing information, the temperature inside the vehicle, and the temperature difference between the inside and outside of the vehicle;

The second data determination sub-module is configured to determine the waist circumference data of the target occupant according to the seat position information, the seat belt length information, the temperature inside the vehicle, and the temperature difference between the inside and outside of the vehicle;

The data merging and determining submodule is configured to merge the weight data of the target occupant and the waist circumference data of the target occupant to obtain health data of the target occupant.

In a possible implementation, the first data determination submodule includes:

a pressure acquisition unit configured to acquire a floor bearing pressure value of the vehicle interior floor used to support the legs of the target occupant;

a first correction coefficient determination unit, configured to determine a target weight correction coefficient based on the floor bearing pressure value, the temperature inside the vehicle, and the temperature difference between the inside and outside of the vehicle;

The first data determination unit is configured to obtain weight data of the target occupant according to the seat load bearing information and the target weight correction coefficient.

In a possible implementation manner, the seat position information includes seat adjustment information of the seat in the spatial position; the second data determination submodule includes:

a second correction coefficient determination unit configured to determine a target waist circumference correction coefficient based on the seat adjustment information, the temperature inside the vehicle, and the temperature difference between the inside and outside of the vehicle;

The second data determination unit is configured to obtain weight data of the target occupant according to the seat belt length information and the target waist circumference correction coefficient.

In a possible implementation, the apparatus further includes:

The monitoring time obtaining module is configured to obtain the current monitoring time information;

The time correction factor determination module is configured to determine the time correction factor of the health data based on the mapping relationship between the monitoring time and the monitoring data;

a monitoring data correction module, configured to correct the determined health data according to the time correction factor to obtain corrected health data;

Correspondingly, the monitoring data feedback module is specifically configured as:

According to the preset feedback cycle, the revised health data is fed back to the target occupant.

In a possible implementation, the apparatus further includes:

The first identity recognition module is configured to identify the target user and obtain the target identity information of the target user;

A historical data acquisition module, configured to acquire historical health data corresponding to the target identity information;

a comparison module, configured to compare the health data of the target user with the corresponding historical health data;

The monitoring report generation module is configured to generate a monitoring report for describing the user's health trend according to the comparison result;

The monitoring report feedback module is configured to feed back the monitoring report to the target user.

In a possible implementation, the apparatus further includes:

The first identity recognition module is configured to identify the target user and obtain the target identity information of the target user;

A desired data acquisition module, configured to acquire desired health data corresponding to the target identity information;

a calculation module configured to calculate the difference between the target user's health data and the corresponding expected health data;

a location information acquisition module, configured to acquire the current location information of the vehicle if the difference exceeds a preset threshold;

a search module, configured to search for a target object matching the acquired current location information;

The recommendation module is configured to recommend the target object to the target user.

In another aspect, the present application also provides a vehicle, the vehicle comprising any one of the vehicle monitoring devices described above. Other structures of the vehicle described in the present application and their connection relationships are common technical means in the art, and will not be repeated here.

On the other hand, an embodiment of the present application also provides a computer device, including:

one or more processors;

one or more memories for storing the one or more processor-executable instructions;

Wherein, the one or more processors are configured to perform any of the vehicle monitoring methods described above.

On the other hand, an embodiment of the present application further provides a computer-readable storage medium, when the instructions in the computer-readable storage medium are executed by a processor of a computer device, the computer device can execute any of the above vehicle monitoring method.

The vehicle monitoring method, device, vehicle, equipment and medium provided by the embodiments of the present application can realize the target monitoring by using the original vehicle components without adding additional health devices and excessive data interfaces. The occupant's health data is automatically monitored, and the health monitoring data can be presented to the user in time, which solves the problems of manual measurement errors and inconveniences in the prior art using measurement tools; improves the user's ride experience and vehicle intelligence, which is beneficial to people Reasonable and efficient management of their own health in a timely manner; at the same time, additional functions of vehicle health are given, especially suitable for people who are more and more concerned about their health, and have broad application prospects.

It should be noted that: the above-mentioned order of the embodiments of the present application is only for description, and does not represent the advantages and disadvantages of the embodiments. And the foregoing describes specific embodiments of the present specification. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recited in the claims can be performed in an order different from that in the embodiments and still achieve desirable results. Additionally, the processes depicted in the figures do not necessarily require the particular order shown, or sequential order, to achieve desirable results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

Each embodiment in this specification is described in a progressive manner, and the same and similar parts between the various embodiments may be referred to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the apparatus and server embodiments, since they are basically similar to the method embodiments, the description is relatively simple, and for related parts, please refer to the partial descriptions of the method embodiments.

Those of ordinary skill in the art can understand that all or part of the steps of implementing the above embodiments can be completed by hardware, or can be completed by instructing relevant hardware through a program, and the program can be stored in a computer-readable storage medium. The storage medium mentioned may be a read-only memory, a magnetic disk or an optical disk, etc.

The above are the preferred embodiments of the present application. It should be pointed out that for those skilled in the art, without departing from the principles of the present application, several improvements and modifications can also be made, and these improvements and modifications may also be regarded as The protection scope of this application.

Claims (9)

1. a vehicle monitoring method, is characterized in that, comprises: In response to the monitoring instruction on the health state of the target occupant, obtain seat monitoring information of the seat where the target occupant is located, where the seat monitoring information includes seat position information, seat belt length information and seat load-bearing information; Get the temperature inside the car and the temperature difference inside and outside the car; Determine the health data of the target occupant according to the seat monitoring information, the temperature inside the vehicle, and the temperature difference between the inside and outside of the vehicle, wherein the health data includes waist circumference data and weight data. Determining the health data of the target occupant includes: determining the waist circumference data according to the seat position information, the seat belt length information, the interior temperature and the temperature difference between the interior and exterior of the vehicle; Determine the weight data according to the seat load-bearing information, the temperature inside the vehicle and the temperature difference between the inside and outside of the vehicle; combine the weight data and the waist circumference data to obtain the health data of the target occupant; The determined health data is fed back to the target occupant. 2 . The method according to claim 1 , wherein the seat position information includes seat adjustment information of the seat in a spatial position; the seat position information, seat belt length information, vehicle Based on the temperature difference between inside and outside the vehicle, the waist circumference data of the target occupant is determined including: determining a target waist circumference correction coefficient based on the seat adjustment information, the temperature inside the vehicle, and the temperature difference between the inside and outside of the vehicle; According to the seat belt length information and the target waist circumference correction coefficient, the waist circumference data of the target occupant is obtained. 3 . The method according to claim 1 , wherein determining the weight data of the target occupant according to the seat load-bearing information, the temperature inside the vehicle, and the temperature difference between the inside and outside of the vehicle comprises: 3 . Collect the floor bearing pressure value of the interior floor used to support the legs of the target occupant; Determine the target weight correction coefficient based on the floor bearing pressure value, the temperature inside the vehicle, and the temperature difference between the inside and outside of the vehicle; According to the seat weight information and the target weight correction coefficient, the weight data of the target occupant is obtained. 4. The method according to any one of claims 1-3, wherein the method further comprises: acquiring current monitoring time information; determining the time correction factor of the health data corresponding to the current monitoring time information based on the mapping relationship between the monitoring time and the health data; Before feeding back the determined health data to the target occupant, the method further includes: Correcting the determined health data according to the time correction factor to obtain revised health data; Correspondingly, feeding back the determined health data to the target occupant includes: according to Preset feedback cycle, feedback the revised health data to the target occupant. 5. The method according to any one of claims 1-3, wherein the method further comprises: identifying the target user, and obtaining the target identity information of the target user; obtaining historical health data corresponding to the target identity information; Compare the health data of the target user with the corresponding historical health data; root Based on the comparison results, generate monitoring reports describing user health trends; The target user feeds back the monitoring report. 6. The method according to any one of claims 1-3, wherein the method further comprises: identifying the target user, and obtaining the target identity information of the target user; obtaining desired health data corresponding to the target identity information; calculating the difference between the target user's health data and the corresponding expected health data; If the difference exceeds the preset threshold, obtain the current position information of the vehicle; Find the target object that matches the acquired current location information; The target object is recommended to the target user. 7. A vehicle monitoring device, comprising: The monitoring information acquisition module is configured to acquire seat monitoring information of the seat where the target occupant is located in response to the monitoring instruction on the health state of the target occupant, the seat monitoring information including seat position information, seat belt length information and seat Chair weight information; a temperature acquisition module, configured to acquire the temperature inside the vehicle and the temperature difference between the inside and outside of the vehicle; a health data determination module configured to determine health data of the target occupant according to the seat monitoring information, the temperature inside the vehicle, and the temperature difference between the inside and outside of the vehicle, wherein the health data includes waist circumference data and weight data, and the health data includes waist circumference data and weight data. Seat monitoring information, the temperature inside the vehicle, and the temperature difference between inside and outside the vehicle, and determining the health data of the target occupant includes: according to the seat position information, the seat belt length information, the temperature inside the vehicle, and the temperature inside and outside the vehicle determine the waist circumference data; determine the weight data according to the seat load-bearing information, the temperature inside the vehicle, and the temperature difference between inside and outside the vehicle; combine the weight data and the waist circumference data to obtain the target said health data of the occupant; A health data feedback module configured to feed back the determined health data to the target occupant. 8. The apparatus according to claim 7, wherein the health data determination module comprises: a first data determination submodule, configured to determine the weight data of the target occupant according to the seat load-bearing information, the temperature inside the vehicle, and the temperature difference between the inside and outside of the vehicle; The second data determination sub-module is configured to determine the waist circumference data of the target occupant according to the seat position information, the seat belt length information, the temperature inside the vehicle, and the temperature difference between the inside and outside of the vehicle; The data merging and determining submodule is configured to merge the weight data of the target occupant and the waist circumference data of the target occupant to obtain health data of the target occupant. 9. A vehicle, characterized in that the vehicle comprises the vehicle monitoring device of claim 7 or 8.

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