CN112373479B - Vehicle monitoring method and device and vehicle - Google Patents
Vehicle monitoring method and device and vehicle Download PDFInfo
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- CN112373479B CN112373479B CN202011089109.9A CN202011089109A CN112373479B CN 112373479 B CN112373479 B CN 112373479B CN 202011089109 A CN202011089109 A CN 202011089109A CN 112373479 B CN112373479 B CN 112373479B
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W40/00—Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models
- B60W40/08—Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models related to drivers or passengers
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60N—SEATS SPECIALLY ADAPTED FOR VEHICLES; VEHICLE PASSENGER ACCOMMODATION NOT OTHERWISE PROVIDED FOR
- B60N2/00—Seats specially adapted for vehicles; Arrangement or mounting of seats in vehicles
- B60N2/002—Seats provided with an occupancy detection means mounted therein or thereon
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W40/00—Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models
- B60W40/08—Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models related to drivers or passengers
- B60W2040/0872—Driver physiology
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W2540/00—Input parameters relating to occupants
- B60W2540/221—Physiology, e.g. weight, heartbeat, health or special needs
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
Technical Field
The application relates to the technical field of vehicles, in particular to a vehicle monitoring method and device and a vehicle.
Background
Along with the improvement of living standard and the gradual increase of the number of the tools for riding instead of walk, the amount of exercise of drivers and passengers is less, so that a series of health problems are generated, and the attention of people to life and health is continuously improved. In daily life, people need to pay attention to their health status every moment in order to perform health management. However, in order to know the current health status, people are usually required to actively utilize an additional measuring tool to perform manual measurement, which not only generates some manual measurement errors, but also needs to increase additional health management cost by means of the measuring tool, and also brings some inconvenience in measurement, resulting in poor experience, and is not beneficial to the reasonable and efficient management of people on their own health.
Therefore, it is necessary to provide a vehicle monitoring method and device with a health monitoring function, and a vehicle.
Disclosure of Invention
Based on this, the present application aims to provide a vehicle monitoring method, a vehicle monitoring device and a vehicle, so as to solve at least one of the above technical problems. The technical scheme is as follows:
in one aspect, the present application further provides a vehicle monitoring method, including:
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, wherein the seat monitoring information comprises seat position information, safety belt length information and seat bearing information;
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.
In one possible implementation manner, the determining 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 includes:
determining weight data of a target passenger according to the seat bearing information, the temperature in the vehicle and the temperature difference between the inside and the outside of the vehicle;
determining waistline data of a target passenger according to the seat position information, the safety belt length information, the temperature in the vehicle and the temperature difference between the inside and the outside of the vehicle;
and combining the weight data of the target passenger and the waist circumference data of the target passenger to obtain the health data of the target passenger.
In one possible implementation manner, the determining weight data of the target occupant according to the seat weight information, the temperature inside the vehicle and the temperature difference inside and outside the vehicle comprises:
collecting a floor bearing pressure value of a floor in a vehicle for supporting the legs of a target passenger;
determining a target weight correction coefficient based on the floor bearing pressure value, the temperature in the vehicle and the temperature difference between the inside and outside of the vehicle;
and obtaining weight data of the target passenger according to the seat load information and the target weight correction coefficient.
In one possible implementation, the seat position information includes seat adjustment information of the seat in a spatial position; the determining the waistline data of the target passenger according to the seat position information, the safety belt length information, the temperature in the vehicle and the temperature difference between the inside and the outside of the vehicle comprises the following steps:
determining a target waistline correction coefficient based on the seat adjustment information, the temperature in the vehicle and the temperature difference between the inside and the outside of the vehicle;
and obtaining the weight data of the target passenger according to the safety belt length information and the target waistline correction coefficient.
In one possible implementation, the method further includes:
acquiring current monitoring time information;
determining a time correction factor of the health data corresponding to the current monitoring time information based on the mapping relation between the monitoring time and the monitoring data;
prior to the feeding back the determined health data to the target occupant, further comprising:
correcting the determined health data according to the time correction factor to obtain corrected health data;
accordingly, the feedback of the determined health data to the target occupant includes:
and feeding back the corrected health data to the target passenger according to a preset feedback period.
In one possible implementation, the method further includes:
carrying out identity recognition on a target user to obtain target identity information of the target user;
acquiring historical health data corresponding to the target identity information;
comparing the health data of the target user with corresponding historical health data;
generating a monitoring report for describing the health trend of the user according to the comparison result;
and feeding back the monitoring report to a target user.
In one possible implementation, the method further includes:
carrying out identity recognition on a target user to obtain target identity information of the target user;
acquiring expected health data corresponding to the target identity information;
calculating a difference value between the health data of the target user and the corresponding expected health data;
if the difference value exceeds a preset threshold value, acquiring the current position information of the vehicle;
searching a target object matched with the acquired current position information;
and recommending the target object to a target user.
In another aspect, the present application provides a vehicle monitoring apparatus, including:
the monitoring information acquisition module is configured to respond to a monitoring instruction of the health state of a target passenger, and acquire seat monitoring information of a seat where the target passenger is located, wherein the seat monitoring information comprises seat position information, safety belt length information and seat bearing information;
the temperature acquisition module is configured to acquire an in-vehicle temperature and an in-vehicle and out-vehicle temperature difference;
a monitoring data determination module configured to determine health data of a target occupant according to the seat monitoring information, an in-vehicle temperature, and an in-vehicle and out-vehicle temperature difference;
a monitoring data feedback module configured to feedback the determined health data to the target occupant.
In one possible implementation, the monitoring data determining module includes:
a first data determination submodule configured to determine weight data of a target occupant based on the seat weight information, the in-vehicle temperature, and the in-vehicle and out-vehicle temperature difference;
a second data determination submodule configured to determine waist circumference data of a target occupant based on the seat position information, the seatbelt length information, the in-vehicle temperature, and the in-vehicle and out-vehicle temperature difference;
and the data merging and determining submodule is configured to merge the weight data of the target passenger and the waist circumference data of the target passenger to obtain the health data of the target passenger.
In one possible implementation, the first data determination sub-module includes:
a pressure acquisition unit configured to acquire a floor load bearing pressure value of an in-vehicle floor for supporting a leg portion of a target occupant;
a first correction coefficient determination unit configured to determine a target weight correction coefficient based on the floor load bearing pressure value, the in-vehicle temperature, and the in-vehicle and out-vehicle temperature difference;
a first data determination unit configured to obtain weight data of a target occupant based on the seat weight information and a target weight correction coefficient.
In one possible implementation, the seat position information includes seat adjustment information of the seat in a 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 in-vehicle temperature, and the in-vehicle and out-vehicle temperature difference;
and a second data determination unit configured to obtain weight data of the target occupant according to the seatbelt length information and the target waist circumference correction coefficient.
In one possible implementation, the apparatus further includes:
a monitoring time obtaining module configured to obtain current monitoring time information;
the time correction factor determination module is configured to determine a time correction factor of the health data based on the mapping relation between the monitoring time and the monitoring data;
the monitoring data correction module is 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 to:
and feeding back the corrected health data to the target passenger according to a preset feedback period.
In one possible implementation, the apparatus further includes:
the first identity recognition module is configured to perform identity recognition on a target user and acquire 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 corresponding historical health data;
the monitoring report generating module is configured to generate a monitoring report for describing the health trend of the user according to the comparison result;
and the monitoring report feedback module is configured to feed back the monitoring report to a target user.
In one possible implementation, the apparatus further includes:
the first identity recognition module is configured to perform identity recognition on a target user and acquire target identity information of the target user;
the expected data acquisition module is configured to acquire expected health data corresponding to the target identity information;
a calculation module configured to calculate a difference of the target user's wellness data and the corresponding desired wellness data;
the position information acquisition module is configured to acquire current position information of the vehicle if the difference value exceeds a preset threshold value;
a searching module configured to search for a target object matching the acquired current position information;
a recommendation module configured to recommend the target object to a target user.
In another aspect, the present application further provides a vehicle including any of the vehicle monitoring devices described above.
In another aspect, the present application further 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.
In another aspect, the present application also provides a computer-readable storage medium, wherein instructions of the computer-readable storage medium, when executed by a processor of a computer device, enable the computer device to perform any one of the vehicle monitoring methods described above.
The vehicle monitoring method, the vehicle monitoring device and the vehicle at least have the following beneficial effects:
the vehicle monitoring method provided by the embodiment of the application comprises the steps of responding to a monitoring instruction of the health state of a target passenger, and obtaining seat monitoring information of a seat where the target passenger is located, wherein the seat monitoring information comprises seat position information, safety belt length information and seat bearing information; 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; the determined health data is fed back to the target occupant. According to the method and the device, the original vehicle-mounted part of the vehicle is utilized, the health data of the target passenger can be automatically monitored without additionally adding a health device and excessive data interfaces, the health monitoring data can be timely presented to a user, and the problems of manual measurement error and inconvenience caused by the utilization of a measuring tool in the prior art are solved; the riding experience of the user and the vehicle intelligence are improved, and the reasonable and efficient timely management of the health of the user is facilitated; meanwhile, the vehicle health additional function is given, and the vehicle health additional function is particularly suitable for people who pay more and more attention to body health, and has a wide application prospect.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the application.
Drawings
In order to more clearly illustrate the technical solutions and advantages of the embodiments of the present application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative efforts.
FIG. 1 is a schematic application environment diagram of a vehicle monitoring method according to an embodiment of the present disclosure;
FIG. 2 is a flow chart of a vehicle monitoring method provided by an embodiment of the present application;
fig. 3 is a flowchart of S2062 in a vehicle monitoring method provided by the embodiment of the present application;
fig. 4 is a flowchart of S2064 in a vehicle monitoring method provided by the embodiment of the present application;
fig. 5 is a block diagram of a vehicle monitoring device according to 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 present application and together with the description, serve to explain the principles of the application.
Detailed Description
To make the objects, technical solutions and advantages of the present application more clear, the present application will be further described in detail with reference to the accompanying drawings. It should be apparent that the described embodiment is only one embodiment of the present application and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
Reference herein to "one embodiment" or "an embodiment" means that a particular feature, structure, or characteristic may be included in at least one implementation of the present application. In the description of the present application, it is to be understood that the terms "upper", "lower", "left", "right", "top", "bottom", and the like, indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, are only for convenience in describing the present application and simplifying the description, and do not indicate or imply that the referred devices or elements must have a specific orientation, be constructed and operated in a specific orientation, and thus, should not be construed as limiting the present application. Furthermore, the terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. Moreover, the terms "first," "second," and the like are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the application described herein are capable of operation in sequences other than those illustrated or described herein.
The method, apparatus and system involved in the embodiments of the present application are described in detail below with reference to the accompanying drawings.
FIG. 1 is a schematic application environment diagram of a vehicle monitoring method according to an embodiment of the present disclosure; fig. 2 is a flowchart of a vehicle monitoring method according to an embodiment of the present application. The method is applied to a terminal, and can be specifically executed by a vehicle monitoring device, wherein the device can be realized by software and/or hardware, and the device can be integrated in the terminal. Referring to fig. 1 and 2, the method may include:
s202, responding to a monitoring instruction of the health state of the target passenger, and acquiring seat monitoring information of the seat where the target passenger is located, wherein the seat monitoring information comprises seat position information, safety belt length information and seat bearing information.
The seat position information is used to reflect 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, etc. The seat is preferably a seat in which a seat belt is disposed, such as a driver seat, a passenger seat, or a rear seat in which a seat belt is disposed. It should be noted that the safety belt of the present application may be a three-point safety belt, or other safety belt that needs to be worn around the waist.
In an alternative embodiment, the initial seat position of the seat may be used as the reference seat position, and the initial seat position may be a position set when the vehicle leaves the factory. Generally, when a target passenger rides a vehicle, the target passenger can make corresponding position adjustment, such as front-back adjustment, height adjustment, seat back pitch angle adjustment, and the like, on the seat according to the personal shape and comfort requirement. At this time, the seat position information may be relative data with respect to the reference seat position. For example, if the traveling direction is taken as the X-axis direction, the seat position information may include relative position data for X-axis forward and backward adjustment, relative position data for Z-axis height adjustment, and the like. The value of the seat position information may be a positive value, a negative value, or zero.
The belt length information is used to reflect the safe unwinding length of the automatic retraction system of the belt worn by the target occupant. Specifically, after the target occupant fastens the seat belt, the automatic retraction system retracts the seat belt with a predetermined retraction force, and records the seat belt retraction length L after the retraction is completed. It should be understood that to avoid repeated recording, only a predetermined number of seat belt unwinding lengths L are recorded for each vehicle start, which may be 1 or 3-8.
The seat load bearing information is used for reflecting the stress condition of the seat where the target passenger is located. When the target passenger sits on the seat, the larger part of the weight of the target passenger is borne by the cushion, at least one seat occupancy sensor is installed below the cushion, the stress condition of the seat where the target passenger is located can be detected by utilizing the seat occupancy sensor, and the weight value of the target passenger can be obtained in a short-sight mode. The detection principle of the seat occupancy sensor is that the resistance value of the seat occupancy sensor changes along with the change of stress through the principle of force sensitive resistors.
For convenience, the seat belt length information is subsequently denoted as L, and the seat weight information is denoted as m 1.
And S204, acquiring the temperature in the vehicle and the temperature difference between the inside and the outside of the vehicle.
In an embodiment, the inside temperature and the outside temperature may be obtained by temperature sensors (such as the inside temperature sensor and the outside temperature sensor in fig. 1), or may be obtained by collecting the inside temperature and the outside temperature through the vehicle air conditioning module, and then performing data transmission through the vehicle network. The on-board network includes but is not limited to a CAN network, a LIN network or other commonly used on-board networks.
The difference between the actual temperature inside and outside the vehicle can be obtained by calculating the difference between the actual temperature inside the vehicle and the actual temperature outside the vehicle, and the difference between the temperature inside and outside the vehicle can be a positive value, a negative value or zero.
And S206, determining the health data of the 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.
The health data of the target occupant may include, but is 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 based on the seat monitoring information, the in-vehicle temperature, and the in-vehicle and out-vehicle temperature difference may include:
and S2062, determining the waistline data of the target passenger according to the seat position information, the safety belt length information, the temperature in the vehicle and the temperature difference between the inside and the outside of the vehicle.
Optionally, the seat position information includes seat adjustment information of the seat in a spatial position. For example, the seat adjustment information may include a position adjustment coordinate of the seat relative to the entire vehicle, i.e., a first position adjustment coordinate of the seat relative to the entire vehicle in the X-axis direction, and a second position adjustment coordinate 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 in-vehicle temperature and the in-vehicle and out-vehicle temperature difference may include:
and S302, determining a target waistline correction coefficient based on the seat adjustment information, the temperature in the vehicle and the temperature difference between the inside and outside of the vehicle.
Specifically, the target waist circumference correction coefficient Q may include a first waist circumference correction coefficient (noted as K1) and a second waist circumference correction coefficient (noted as K3). The first waist circumference correction coefficient K1 reflects the detection deviation of the seat adjustment position of the current seat with respect to the webbing pay-out length. The second waistline correction coefficient K3 reflects the detection deviation of the temperature difference between the inside and the outside of the vehicle to the waistline, and the second waistline correction coefficient K3 can be determined according to the temperature difference between the inside of the vehicle and the temperature difference between the inside and the outside of the vehicle.
In an alternative embodiment, the first waistline correction coefficient K1 may have a value range of [0,0.2], that is, the seat belt unwinding length caused by the seat position adjustment may cause a deviation of 20%. For example, when the seat is adjusted to the rearmost end on the slide rail, the first waistline correction coefficient K1 takes a value of 0; when the seat is adjusted to the forefront end on the slide rail, the first waistline correction coefficient K1 is 0.2. As for the specific K1 values corresponding to other adjusting positions of the seat, the values can be determined in any one of the following manners: 1) the length and the position of the whole seat slide rail are divided into 5 grades, each grade corresponds to different first waistline correction coefficients, and for example, the values of the first waistline correction coefficient K1 are respectively five grades of 0, 0.04, 0.08, 0.12, 0.16 and 0.2. When the seat is adjusted to the position of the corresponding grade on the slide rail, the value of a first waistline correction coefficient K1 corresponding to the position grade is selected. 2) A linear relationship between the adjustment position data of the seat and the first waist circumference correction coefficient is established in advance, and then the first waist circumference correction coefficient K1 corresponding to the seat adjustment information of the current seat is determined based on the established linear relationship.
In an alternative embodiment, the value of the second waist circumference correction coefficient K3 may be [ -0.1,0], that is, the deviation of the second waist circumference correction coefficient K3 is within a deviation range of plus or minus 10% of the actual measured waist circumference. The wearing of the vehicle occupant is affected by temperature changes, and if the temperature is low, the occupant wears more clothes, and the webbing take-up length is long. On the other hand, if the temperature is high, the amount of clothes worn by the occupant is small, and the webbing take-up length is short. The values of the internal and external temperature sensors can reflect the difference of the internal and external temperature environments of the vehicle, and then the second waistline correction coefficient K3 can be determined.
In an alternative 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.
In other alternative embodiments, specific values of the first waist circumference correction coefficient K1 and the second waist circumference correction coefficient K3 are not limited thereto, and the adaptability may be adjusted according to actual situations.
And S304, acquiring the waist circumference data of the target passenger according to the safety belt length information and the target waist circumference correction coefficient.
Specifically, the belt length information L of the unwound belt may be detected by a sensor disposed on the belt, and then the belt length information L may be modified by the target waist circumference correction coefficient Q, for example, the belt length information L may be multiplied by the target waist circumference correction coefficient Q, so as to obtain the waist circumference data of the target passenger.
And S2064, determining the weight data of the target passenger according to the seat bearing information, the temperature in the vehicle and the temperature difference between the inside and the outside of the vehicle.
Optionally, determining the weight data of the target occupant according to the seat weight information, the in-vehicle temperature and the in-vehicle and out-vehicle temperature difference may include:
s402, collecting a floor load-bearing pressure value of the floor in the vehicle for supporting the legs of the target passenger.
Specifically, a pressure sensor may be mounted on the floor in the vehicle in front of the seat where the target occupant is located, and the floor load pressure value at which the leg of the target occupant is supported by the floor may be collected by the pressure sensor. The value of the floor load-bearing pressure value (marked as M2) can be more than or equal to 0 and less than or equal to M2 and less than or equal to M, wherein M is the weight of the target passenger.
And S404, determining a target weight correction coefficient based on the floor bearing pressure value, the temperature in 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 (noted as k2) and a second waist weight coefficient (noted as k 4). The first integral correction coefficient k2 is used for reflecting 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 inside and outside the vehicle. The second weight correction factor k4 is used to reflect the detected deviation of the seat occupancy sensor, and is determined according to the floor load pressure value.
For example only, the first body trim coefficient k2 may take on the value of [ -0.1,0 ]. Generally speaking, the wearing of the vehicle occupant is affected by temperature changes, and more clothing is worn at lower temperatures, and the force recognized by the occupancy sensor is greater. Less clothing is worn at higher temperatures and the force identified by the occupancy sensor is less.
For example only, the second bulk correction coefficient k4 may take on a value of [0,0.05 ]. In one embodiment, the second bulk weight correction factor may be determined according to the magnitude of the ratio between the floor load pressure value m2 and the seat load information m 1.
Generally speaking, a person in a vehicle sits on a seat, and a small part of the weight of the person is shared by feet placed on a carpet, so that the inaccuracy of the weight of the person is reflected by a seat occupancy sensor, and the weight value needs to be corrected through a second weight correction coefficient K4 deviation coefficient.
In an alternative embodiment, after the first body weight correction coefficient K2 and the second body weight correction coefficient K4 are determined, the target body weight correction coefficient P is obtained by calculating the sum of the two.
And S406, obtaining weight data of the target passenger according to the seat weight information and the target weight correction coefficient.
Specifically, the seat weight information m1 may be detected by the seat sensor, and then the seat weight information m1 may be corrected by the target weight correction coefficient P, and for example, the seat weight information m1 may be multiplied by the determined target weight correction coefficient P to obtain the weight data of the target occupant.
And S2066, combining the weight data of the target passenger and the waist circumference data of the target passenger to obtain the health data of the target passenger.
Specifically, the identity of the target passenger is detected, the weight data and the waist circumference data corresponding to the identity are extracted, the extracted data are combined to obtain the health data of the target passenger, and the obtained health data are output to the target passenger.
S208, feeding back the determined health data to the target passenger.
Specifically, after the health data of the target passenger is acquired, the health data can be displayed through voice broadcasting, a vehicle-mounted terminal, vehicle-mounted multimedia, an instrument display panel and the like, and the determined health data can also be fed back through communication with the target terminal.
In one embodiment, the monitored health data and the historical health data can be compared through the T-BOX, and the monitored health data and the historical health data are transmitted to a mobile phone of a vehicle owner through a cloud end of a back-end server so as to feed back the determined health data to a target passenger.
According to the method and the device, the original vehicle-mounted part of the vehicle is utilized, the health data of the target passenger can be automatically monitored without additionally adding a health device and excessive data interfaces, the health monitoring data can be timely presented to a user, and the problems of manual measurement error and inconvenience caused by the utilization of a measuring tool in the prior art are solved; the riding experience of the user and the vehicle intelligence are improved, and the reasonable and efficient timely management of the health of the user is facilitated; meanwhile, the vehicle health additional function is given, and the vehicle health additional function is particularly suitable for people who pay more and more attention to body health, and has a wide application prospect.
This application is based on the flexible length of safety belt and goes to judge driver's size, and judge whether change takes place for the weight based on the occupy-place sensor, make full use of vehicle sensor information itself revises the health data that detects simultaneously, the data connection interface that utilizes vehicle itself carries out data communication, improve the measurement accuracy to passenger's health data, let the passenger can in time pay close attention to the change of oneself stature and weight, and formulate the stature and keep the plan, ensured that people carry out reasonable effectual management to self health.
In addition, this application calculates target passenger's weight and waistline approximate value, and weight change is a long-term slow change process simultaneously, can carry out interactive communication through vehicle and speech segment, and the health data through to the high in the clouds record is analyzed, can remind target passenger to carry out motion or healthy diet through on-vehicle audio-visual entertainment system and maintain oneself stature and weight to keep healthy, have certain actual reference value.
In some optional embodiments, the method further comprises:
acquiring current monitoring time information;
and determining a time correction factor of the health data corresponding to the current monitoring time information based on the mapping relation between the monitoring time and the monitoring data.
Correspondingly, before the feeding back the determined health data to the target occupant, the method further includes:
and correcting the determined health data according to the time correction factor to obtain corrected health data.
Accordingly, the feedback of the determined health data to the target occupant includes:
and feeding back the corrected health data to the target passenger according to a preset feedback period.
Wherein, the time correction factor is used for reflecting the deviation of the monitoring time to the weight data and the waist circumference data. This is because the weight and waist circumference measurements of the target occupant may vary at different times of the day. For example, there are some differences in the morning, noon and evening meals every day, especially for the detection of waist circumference, the vehicle CAN bus has time information, so the present application acquires the current monitoring time information through the CAN bus. And then, determining a time correction factor corresponding to the current monitoring time information by using a mapping relation between the monitoring time and the monitoring data. The time correction factor may include a time deviation coefficient of the weight measurement of K5 and a time deviation coefficient of the waist circumference measurement of K6. Then, 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 corrected health data. Since the weight and waist circumference of the occupant do not change constantly, the corrected health data may be fed back according to a preset feedback cycle in order to reduce the redundancy of the feedback data. The preset feedback period may include, but is not limited to, a preset hour, a preset number of days, a preset feedback period, etc. The health data are corrected by fully utilizing the original data information of the vehicle, so that the finally determined health data are more accurate.
In some optional embodiments, the method may further comprise:
carrying out identity recognition on a target user to obtain target identity information of the target user;
acquiring historical health data corresponding to the target identity information;
comparing the health data of the target user with corresponding historical health data;
generating a monitoring report for describing the health trend of the user according to the comparison result;
and feeding back the monitoring report to a target user.
Specifically, the identity of the target user can be identified through the identity identification module, and the target identity information of the target user is obtained. The identity recognition module comprises 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, target identity information bound with a user is obtained by performing at least one of face recognition, identity recognition, fingerprint recognition, pupil recognition and login identity recognition on the target user, a health data comparison result is obtained by comparing historical health data of the target user with currently monitored health data, and then a monitoring report for describing the health trend of the user is generated according to the comparison result and fed back to the target user, so that the target user can timely know the change trend of the health data of the target user, the targeted health management is facilitated, and the riding experience of the user is improved.
In some optional embodiments, the method may further comprise:
carrying out identity recognition on a target user to obtain target identity information of the target user;
acquiring expected health data corresponding to the target identity information;
calculating a difference value between the health data of the target user and the corresponding expected health data;
if the difference value exceeds a preset threshold value, acquiring the current position information of the vehicle;
searching a target object matched with the acquired current position information;
and recommending the target object to a target user.
Specifically, the target user may be a healthy subject, for example, may be a driver, a passenger, or the like. In the process of identity recognition, the target user can be realized through the identity recognition module, and the target identity information of the target user is obtained. 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 acquire target identity information bound with a user by performing at least one of face recognition, identity recognition, fingerprint recognition, pupil recognition and login identity recognition on the target user. After the target identity information is obtained, the expected health data corresponding to the target identity information may be obtained, the expected health data includes, but is not limited to, at least one of expected weight data, expected waist circumference data, and the like, and the expected health data may be a numerical value or a range value. And then, calculating a difference value between the expected health data of the target user and the currently monitored health data, if the difference value exceeds a preset threshold value, acquiring current position information of the vehicle through a vehicle-mounted navigation system or a mobile terminal carried by a riding user, and searching address information of a target object matched with the current position information, wherein the target object comprises but is not limited to exercise places such as a gymnasium, a swimming pool, a gymnasium and the like. Then, address information corresponding to the target object can be recommended to the target user in time, and the weight and waist circumference changes of the user can be reminded in an acousto-optic mode through the vehicle-mounted terminal so as to attract the attention of the user; and further, the target user can timely perform targeted health management, and the riding experience of the user is further improved.
The following are embodiments of the apparatus of the present application that may be used to perform the method embodiments of the present application described above. For details and advantages not disclosed in the embodiments of the apparatus of the present application, reference is made to the embodiments of the method of the present application.
Referring to fig. 5, a block diagram of a vehicle monitoring device according to an embodiment of the present application is shown. The vehicle monitoring device has the function of implementing the method example, and the function can be implemented by hardware or by hardware executing corresponding software. The vehicle monitoring apparatus 500 may include:
the monitoring information acquisition module 510 is configured to respond to a monitoring instruction for the health state of a target passenger, and acquire seat monitoring information of a seat where the target passenger is located, wherein the seat monitoring information includes seat position information, safety belt length information and seat bearing information;
a temperature acquisition module 520 configured to acquire an in-vehicle temperature and an in-vehicle and out-vehicle temperature difference;
a monitoring data determination module 530 configured to determine health data of a target occupant according to the seat monitoring information, the in-vehicle temperature, and the in-vehicle and out-vehicle temperature difference;
a monitoring data feedback module 540 configured to feedback the determined health data to the target occupant.
In one possible implementation, the monitoring data determining module includes:
a first data determination submodule configured to determine weight data of a target occupant based on the seat weight information, the in-vehicle temperature, and the in-vehicle and out-vehicle temperature difference;
a second data determination submodule configured to determine waist circumference data of a target occupant based on the seat position information, the seatbelt length information, the in-vehicle temperature, and the in-vehicle and out-vehicle temperature difference;
and the data merging and determining submodule is configured to merge the weight data of the target passenger and the waist circumference data of the target passenger to obtain the health data of the target passenger.
In one possible implementation, the first data determination sub-module includes:
a pressure acquisition unit configured to acquire a floor load bearing pressure value of an in-vehicle floor for supporting a leg portion of a target occupant;
a first correction coefficient determination unit configured to determine a target weight correction coefficient based on the floor load bearing pressure value, the in-vehicle temperature, and the in-vehicle and out-vehicle temperature difference;
a first data determination unit configured to obtain weight data of a target occupant based on the seat weight information and a target weight correction coefficient.
In one possible implementation, the seat position information includes seat adjustment information of the seat in a 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 in-vehicle temperature, and the in-vehicle and out-vehicle temperature difference;
and a second data determination unit configured to obtain weight data of the target occupant according to the seatbelt length information and the target waist circumference correction coefficient.
In one possible implementation, the apparatus further includes:
a monitoring time obtaining module configured to obtain current monitoring time information;
the time correction factor determination module is configured to determine a time correction factor of the health data based on the mapping relation between the monitoring time and the monitoring data;
the monitoring data correction module is 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 to:
and feeding back the corrected health data to the target passenger according to a preset feedback period.
In one possible implementation, the apparatus further includes:
the first identity recognition module is configured to perform identity recognition on a target user and acquire 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 corresponding historical health data;
the monitoring report generating module is configured to generate a monitoring report for describing the health trend of the user according to the comparison result;
and the monitoring report feedback module is configured to feed back the monitoring report to a target user.
In one possible implementation, the apparatus further includes:
the first identity recognition module is configured to perform identity recognition on a target user and acquire target identity information of the target user;
the expected data acquisition module is configured to acquire expected health data corresponding to the target identity information;
a calculation module configured to calculate a difference of the target user's wellness data and the corresponding desired wellness data;
the position information acquisition module is configured to acquire current position information of the vehicle if the difference value exceeds a preset threshold value;
a searching module configured to search for a target object matching the acquired current position information;
a recommendation module configured to recommend the target object to a target user.
In another aspect, the present application further provides a vehicle including any of the vehicle monitoring devices described above. Other structures and connection relations of the vehicle are common technical means in the field, and are not described herein again.
On the other hand, an embodiment of the present application further 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, the embodiment of the present application further provides a computer-readable storage medium, and when the instructions in the computer-readable storage medium are executed by a processor of a computer device, the computer device is enabled to execute any one of the vehicle monitoring methods described above.
According to the vehicle monitoring method, the vehicle monitoring device, the vehicle, the equipment and the medium, the original vehicle-mounted part of the vehicle is utilized, the automatic monitoring of the health data of the target passenger can be realized under the condition that a health device and too many data interfaces are not additionally arranged, the health monitoring data can be timely presented to a user, and the problems that the manual measurement error and inconvenience are caused by the use of a measuring tool in the prior art are solved; the riding experience of the user and the vehicle intelligence are improved, and the reasonable and efficient timely management of the health of the user is facilitated; meanwhile, the vehicle health additional function is given, and the vehicle health additional function is particularly suitable for people who pay more and more attention to body health, and has a wide application prospect.
It should be noted that: the sequence of the embodiments of the present application is only for description, and does not represent the advantages and disadvantages of the embodiments. And specific embodiments thereof have been described above. Other embodiments are within the scope of the following claims. In some cases, the actions or steps recited in the claims may be performed in a different order than in the embodiments and still achieve desirable results. In addition, the processes depicted in the accompanying figures do not necessarily require the particular order shown, or sequential order, to achieve desirable results. In some embodiments, multitasking and parallel processing may also be possible or may be advantageous.
The embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, as for the device and server embodiments, since they are substantially similar to the method embodiments, the description is simple, and the relevant points can be referred to the partial description of the method embodiments.
It will be understood by those skilled in the art that all or part of the steps for implementing the above embodiments may be implemented by hardware, or may be implemented by a program instructing relevant hardware, where the program may be stored in a computer-readable storage medium, and the above-mentioned storage medium may be a read-only memory, a magnetic disk or an optical disk, etc.
The foregoing is a preferred embodiment of the present application, and it should be noted that, for those skilled in the art, various modifications and decorations can be made without departing from the principle of the present application, and these modifications and decorations are also regarded as the protection scope of the present application.
Claims (9)
1. A vehicle monitoring method, comprising:
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, wherein the seat monitoring information comprises seat position information, safety belt length information and seat bearing information;
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 in-vehicle temperature and the in-vehicle and out-vehicle temperature difference, wherein the health data comprise waistline data and weight data, and determining the health data of the target passenger according to the seat monitoring information, the in-vehicle temperature and the in-vehicle and out-vehicle temperature difference comprises: determining the waistline data according to the seat position information, the safety belt length information, the temperature in the vehicle and the temperature difference between the inside and the outside of the vehicle; determining the weight data according to the seat bearing information, the in-car temperature and the in-car and out-car temperature difference; combining the weight data and the waist circumference data to obtain the health data of the target passenger;
the determined health data is fed back to the target occupant.
2. The method of claim 1, wherein the seat position information includes seat adjustment information for the seat in a spatial location; the determining the waistline data of the target passenger according to the seat position information, the safety belt length information, the temperature in the vehicle and the temperature difference between the inside and the outside of the vehicle comprises the following steps:
determining a target waistline correction coefficient based on the seat adjustment information, the temperature in the vehicle and the temperature difference between the inside and the outside of the vehicle;
and acquiring the waistline data of the target passenger according to the safety belt length information and the target waistline correction coefficient.
3. The method of claim 1, wherein determining weight data for a target occupant based on the seat weight information, the in-vehicle temperature, and the in-vehicle and out-vehicle temperature difference comprises:
collecting a floor bearing pressure value of a floor in a vehicle for supporting the legs of a target passenger;
determining a target weight correction coefficient based on the floor bearing pressure value, the temperature in the vehicle and the temperature difference between the inside and outside of the vehicle;
and obtaining weight data of the target passenger according to the seat load information and the target weight correction coefficient.
4. The method according to any one of claims 1-3, further comprising: acquiring current monitoring time information;
determining a time correction factor of the health data corresponding to the current monitoring time information based on the mapping relation between the monitoring time and the health data;
before the 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 corrected health data;
accordingly, the feedback of the determined health data to the target occupant includes: according to
And presetting a feedback period, and feeding back the corrected health data to the target passenger.
5. The method according to any one of claims 1-3, further comprising: carrying out identity recognition on a target user to obtain target identity information of the target user;
acquiring historical health data corresponding to the target identity information;
comparing the health data of the target user with corresponding historical health data; root of herbaceous plant
Generating a monitoring report for describing the health trend of the user according to the comparison result; to the direction of
And feeding back the monitoring report by the target user.
6. The method according to any one of claims 1-3, further comprising: carrying out identity recognition on a target user to obtain target identity information of the target user;
acquiring expected health data corresponding to the target identity information;
calculating a difference value between the health data of the target user and the corresponding expected health data;
if the difference value exceeds a preset threshold value, acquiring the current position information of the vehicle;
searching a target object matched with the acquired current position information;
and recommending the target object to a target user.
7. A vehicle monitoring apparatus, comprising:
the monitoring information acquisition module is configured to respond to a monitoring instruction of the health state of a target passenger, and acquire seat monitoring information of a seat where the target passenger is located, wherein the seat monitoring information comprises seat position information, safety belt length information and seat bearing information;
the temperature acquisition module is configured to acquire an in-vehicle temperature and an in-vehicle and out-vehicle temperature difference;
a health data determination module configured to determine health data of a target occupant according to the seat monitoring information, an in-vehicle temperature, and an in-vehicle and in-vehicle temperature difference, wherein the health data includes waist circumference data and weight data, and the determining the health data of the target occupant according to the seat monitoring information, the in-vehicle temperature, and the in-vehicle and in-vehicle temperature difference includes: determining the waistline data according to the seat position information, the safety belt length information, the temperature in the vehicle and the temperature difference between the inside and the outside of the vehicle; determining the weight data according to the seat bearing information, the in-car temperature and the in-car and out-car temperature difference; combining the weight data and the waist circumference data to obtain the health data of the target passenger;
a health data feedback module configured to feedback the determined health data to the target occupant.
8. The apparatus of claim 7, wherein the health data determination module comprises:
a first data determination submodule configured to determine weight data of a target occupant based on the seat weight information, the in-vehicle temperature, and the in-vehicle and out-vehicle temperature difference;
a second data determination submodule configured to determine waist circumference data of a target occupant based on the seat position information, the seatbelt length information, the in-vehicle temperature, and the in-vehicle and out-vehicle temperature difference;
and the data merging and determining submodule is configured to merge the weight data of the target passenger and the waist circumference data of the target passenger to obtain the health data of the target passenger.
9. A vehicle characterized in that it comprises a vehicle monitoring device according to claim 7 or 8.
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| WO2021217665A1 (en) * | 2020-04-30 | 2021-11-04 | 华为技术有限公司 | Seat adjustment method, device and system |
| CN112959926B (en) * | 2021-03-05 | 2022-11-29 | 广西双英集团股份有限公司 | Time division control method for dynamic multi-task car cabin platform |
| CN114027826A (en) * | 2021-11-26 | 2022-02-11 | 东风悦享科技有限公司 | Health monitoring system for body shape of automobile passenger |
Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US5987370A (en) * | 1997-09-03 | 1999-11-16 | Delco Electronics Corp. | Vehicle occupant weight estimation apparatus having fluid-filled seat bladder |
| CN102963274A (en) * | 2012-10-25 | 2013-03-13 | 浙江吉利汽车研究院有限公司杭州分公司 | Adaptive automobile seat system and seat adjustment method |
| CN204520647U (en) * | 2015-03-11 | 2015-08-05 | 三明学院 | Home intelligent health monitoring all-in-one |
| CN205493254U (en) * | 2016-01-25 | 2016-08-24 | 嘉兴维特拉电气科技有限公司 | Massage sofa with weight monitoring function |
| US9707913B1 (en) * | 2016-03-23 | 2017-07-18 | Toyota Motor Enegineering & Manufacturing North America, Inc. | System and method for determining optimal vehicle component settings |
| CN107284402A (en) * | 2016-04-11 | 2017-10-24 | 福特全球技术公司 | Including pulling out the safety belt assembly determined |
| CN107478316A (en) * | 2017-07-04 | 2017-12-15 | 上海斐讯数据通信技术有限公司 | A kind of weight information detection method and Weight-detecting device |
| CN108051053A (en) * | 2017-11-29 | 2018-05-18 | 张焕明 | A kind of Avoirdupois monitoring method used in weight loss procedures |
| CN110667594A (en) * | 2019-09-11 | 2020-01-10 | 浙江合众新能源汽车有限公司 | Method and device for monitoring weight of automobile and storage medium |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US10017078B2 (en) * | 2013-05-30 | 2018-07-10 | Yefim G Kriger | Relocatable/replaceable pad for accurate vehicle occupant weight measurement |
-
2020
- 2020-10-13 CN CN202011089109.9A patent/CN112373479B/en active Active
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US5987370A (en) * | 1997-09-03 | 1999-11-16 | Delco Electronics Corp. | Vehicle occupant weight estimation apparatus having fluid-filled seat bladder |
| CN102963274A (en) * | 2012-10-25 | 2013-03-13 | 浙江吉利汽车研究院有限公司杭州分公司 | Adaptive automobile seat system and seat adjustment method |
| CN204520647U (en) * | 2015-03-11 | 2015-08-05 | 三明学院 | Home intelligent health monitoring all-in-one |
| CN205493254U (en) * | 2016-01-25 | 2016-08-24 | 嘉兴维特拉电气科技有限公司 | Massage sofa with weight monitoring function |
| US9707913B1 (en) * | 2016-03-23 | 2017-07-18 | Toyota Motor Enegineering & Manufacturing North America, Inc. | System and method for determining optimal vehicle component settings |
| CN107284402A (en) * | 2016-04-11 | 2017-10-24 | 福特全球技术公司 | Including pulling out the safety belt assembly determined |
| CN107478316A (en) * | 2017-07-04 | 2017-12-15 | 上海斐讯数据通信技术有限公司 | A kind of weight information detection method and Weight-detecting device |
| CN108051053A (en) * | 2017-11-29 | 2018-05-18 | 张焕明 | A kind of Avoirdupois monitoring method used in weight loss procedures |
| CN110667594A (en) * | 2019-09-11 | 2020-01-10 | 浙江合众新能源汽车有限公司 | Method and device for monitoring weight of automobile and storage medium |
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