CN117148764B - Intelligent Internet of things type vehicle-mounted control system and method based on man-machine interaction - Google Patents
Intelligent Internet of things type vehicle-mounted control system and method based on man-machine interaction Download PDFInfo
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- 238000000034 method Methods 0.000 title claims abstract description 33
- 230000003993 interaction Effects 0.000 title claims abstract description 32
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims abstract description 217
- 235000013361 beverage Nutrition 0.000 claims abstract description 83
- 230000035622 drinking Effects 0.000 claims abstract description 32
- 238000004458 analytical method Methods 0.000 claims abstract description 29
- 241000190070 Sarracenia purpurea Species 0.000 claims description 63
- 230000001133 acceleration Effects 0.000 claims description 51
- 239000000843 powder Substances 0.000 claims description 37
- 230000008569 process Effects 0.000 claims description 15
- 230000001105 regulatory effect Effects 0.000 claims description 10
- 239000000919 ceramic Substances 0.000 claims description 8
- 235000020188 drinking water Nutrition 0.000 claims description 8
- 239000003651 drinking water Substances 0.000 claims description 8
- 230000008859 change Effects 0.000 claims description 7
- 230000007613 environmental effect Effects 0.000 claims description 7
- 230000003287 optical effect Effects 0.000 claims description 6
- 238000005516 engineering process Methods 0.000 claims description 4
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- 230000003213 activating effect Effects 0.000 claims description 3
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- 238000005485 electric heating Methods 0.000 claims description 3
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- 238000005259 measurement Methods 0.000 claims description 3
- 239000007787 solid Substances 0.000 claims description 3
- 230000006399 behavior Effects 0.000 abstract 1
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- 239000000463 material Substances 0.000 description 1
- 239000008213 purified water Substances 0.000 description 1
- 235000020679 tap water Nutrition 0.000 description 1
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/04—Programme control other than numerical control, i.e. in sequence controllers or logic controllers
- G05B19/042—Programme control other than numerical control, i.e. in sequence controllers or logic controllers using digital processors
- G05B19/0423—Input/output
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
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Abstract
The invention relates to the field of vehicle-mounted equipment, in particular to an intelligent internet of things vehicle-mounted control system and method based on man-machine interaction, comprising the following steps: the intelligent water drinking system comprises an Internet of things module, a beverage analysis module, an intelligent interaction module, a beverage making module and a water flow control module, wherein the Internet of things module is used for acquiring and analyzing data of vehicle-mounted equipment, the beverage analysis module is used for evaluating current drinking preference of a user, the intelligent interaction module is used for detecting user behaviors and adjusting a water drinking system, the beverage making module is used for adjusting temperature, making beverages and outputting the beverages, and the water flow control module is used for adjusting flow and water outlet positions of a faucet according to driving states.
Description
Technical Field
The invention relates to the field of vehicle-mounted equipment, in particular to an intelligent Internet of things vehicle-mounted control system and method based on man-machine interaction.
Background
With the popularization of household automobiles in recent years, various intelligent devices in the automobiles are gradually developed, and vehicle-mounted devices such as vehicle-mounted navigation, vehicle-mounted air conditioners and vehicle-mounted radars bring convenience and comfort driving experience for people. The vehicle-mounted drinking tool is also one of the two, and the main vehicle-mounted drinking system consists of a drinking bin, a tap and a ceramic panel, and after a user selects a drink, the drinking bin is opened, and the drinking system can extract the drink from the drinking bin for the user to drink.
However, the conventional beverage system can only manually select the beverage by a user, but when the driver is focused on driving, it is difficult to make a series of operations of selecting the beverage type, adjusting the temperature of the beverage, and opening the faucet. Under the conditions of different driving places, different weather, different driving time periods and the like, the beverage requirements of users often change, and the requirements of users are hardly met by only providing one type of beverage in the whole driving process.
In addition, road conditions in reality are complicated, and when the tap in traditional on-vehicle drink system goes out water, if the car takes place to suddenly stop or accelerate suddenly, tap's water just spills outside the cup easily, pollutes the in-car environment, scalds in-car personnel even. The storage space of the beverage box in the traditional system is also limited, so that users need to frequently throw various beverages into the beverage box, and inconvenience is also easily caused for the users.
Disclosure of Invention
The invention aims to provide an intelligent Internet of things type vehicle control system and method based on man-machine interaction, so as to solve the problems in the background technology.
In order to solve the technical problems, the invention provides the following technical scheme: intelligent Internet of things type vehicle-mounted control system based on man-machine interaction comprises: the system comprises an Internet of things module, a beverage analysis module, an intelligent interaction module, a beverage making module and a water flow control module;
the internet of things module is used for acquiring data of the vehicle-mounted equipment and positioning a user;
the drink analysis module is used for analyzing the data acquired in the driving process to obtain the information of the external environment in the driving process, evaluating the fatigue degree of the user, and analyzing the current drinking preference of the user by combining the historical data;
the intelligent interaction module is used for detecting the behavior of a user for placing the water cup, calculating the volume of the water cup and automatically adjusting the height of the faucet;
the beverage making module is used for adjusting the temperature of the water tank, adjusting the brewing flow according to beverage information, and outputting beverage required by a user from the water tap after detecting that the user places the water cup;
the water flow control module is used for analyzing road conditions, evaluating vehicle acceleration, adjusting the flow of water discharged from the faucet, and adjusting the water discharge position of the faucet when the speed change of the vehicle is detected;
further, the internet of things module includes: an apparatus reading unit and a positioning unit;
the device reading unit is used for acquiring data of vehicle-mounted devices, wherein the vehicle-mounted devices comprise vehicle navigation, vehicle radar, a vehicle recorder and an intelligent seat;
the positioning unit is used for positioning the vehicle according to the information provided by the vehicle navigation and the vehicle radar.
Further, the beverage analysis module includes: an environment analysis unit, a fatigue analysis unit and a beverage selection unit;
the environment analysis unit is used for acquiring road conditions of running of the vehicle, weather of the place and temperature of the place according to the positioning information of the vehicle and measuring the temperature in the vehicle;
the fatigue analysis unit is used for analyzing the fatigue degree of the user according to the inclination of the user seat, the force of stepping on the pedal, the continuous driving duration and the current time;
the drink selection unit is used for fitting out the current drinking preference of the user according to the historical data, the environmental information and the fatigue degree, and the drinking preference comprises the following steps: the type, temperature and concentration of the beverage.
Further, the intelligent interaction module includes: an optical measurement unit and a command issuing unit;
the optical measuring unit is used for detecting whether a user places a water cup on the ceramic plate, measuring the diameter of the bottom surface of the water cup and the height of the cup, calculating the volume of the water cup, and adjusting the height of a water outlet of the water faucet according to the height of the cup;
the command issuing unit is used for calculating the water consumption and the powder amount according to the volume of the water cup and the concentration of the beverage, and issuing a command for making the beverage to the beverage making module.
Further, the beverage making module comprises: the powder box comprises a water tank unit, a powder box unit and a tap unit;
the water tank unit consists of a two-stage water tank, the one-stage water tank is used for storing purified drinking water, the electric heating wire is connected inside the one-stage water tank and can heat water in the water tank, the compressor is connected outside the water tank and can cool the water in the water tank, and the two-stage water tank is used for storing and brewing drinks;
the powder box unit consists of a powder box at the upper part of the water tank and is used for storing powder of various beverages, a control valve is arranged in the powder box and can control the output type and output quantity of the powder, and the powder is output to the secondary water tank after a command is received;
the water tap unit is composed of a telescopic water tap and is used for extracting the brewed beverage from the secondary water tank and outputting the beverage into the water cup, and the telescopic water tap can be used for adjusting the water outlet up and down and front and back.
Further, the water flow control module includes: the road condition analysis unit, the flow control unit and the position adjustment unit;
the road condition analysis unit is used for analyzing traffic conditions on a driving route according to the data of the vehicle navigation, and the traffic conditions comprise: distance from the traffic node, average speed of traffic flow at the traffic node, and current speed of the vehicle;
the flow control unit is used for analyzing the acceleration of the vehicle and adjusting the water outlet flow of the faucet;
the position adjusting unit is used for detecting the acceleration direction and the acceleration of the vehicle and adjusting the water outlet position of the water tap according to the acceleration of the vehicle and the position of the water cup.
An intelligent internet of things vehicle-mounted control method based on man-machine interaction comprises the following steps:
s100, after a user starts an automobile, acquiring the positioning of the automobile and the characteristics of the user according to data in the vehicle-mounted equipment;
s200, according to the vehicle positioning in the step S100, environment information of the vehicle is obtained, and according to the user characteristics, the fatigue degree of the user is calculated; according to the environment information and the fatigue degree of the user, analyzing the drink information currently required by the user;
s300, after the user is detected to place the water cup on the panel, measuring the height and the bottom diameter of the water cup, calculating the volume of the water cup, adjusting the height of a water outlet of the water faucet according to the cup height, preparing a drink, and turning to the step S400;
s400, regulating and controlling the drinking equipment according to the drink information in the step S200, and brewing drinks in the drinking equipment in advance;
s500, in the water outlet process, according to data in the vehicle-mounted equipment, the acceleration of automobile deceleration is analyzed, the water flow size of a water outlet of a faucet is adjusted, when the acceleration of the automobile is detected, the horizontal telescopic length and the rotation angle of the faucet are adjusted according to the size and the direction of the acceleration, and then the position of the water outlet is adjusted, so that the water flow flowing out of the water outlet can fall into a cup exactly.
Further, step S100 includes:
s101, acquiring data of vehicle-mounted equipment, wherein the vehicle-mounted equipment comprises vehicle navigation, vehicle radar, a vehicle recorder and an intelligent seat, and the acquired data comprises: driving route on vehicle navigation, driving speed on vehicle radar, driving video on a vehicle recorder and inclination angle of an intelligent seat;
s102, acquiring user characteristics according to data uploaded by vehicle-mounted equipment, wherein the user characteristics comprise: the inclination angle of the seat, the face recognition signal of the driver in the driving video, the continuous driving duration and the current system time.
Further, step S200 includes:
s201, positioning a vehicle according to information provided by vehicle navigation and vehicle radar, and acquiring environment information of the vehicle according to positioning information of the vehicle, wherein the environment information comprises: weather of the place, temperature of the place and temperature of an air conditioner in the vehicle;
s202, using face_recognition face recognition technology to acquire blink frequency of a driver in a driving video on a vehicle recorder;
s203, calculating the fatigue degree of the user according to the user characteristics, wherein the calculation formula of the fatigue degree P is as follows:
P＝(A+E)·M+F
wherein A represents fatigue speed corresponding to the seat inclination angle, E represents fatigue speed of a user at the current time point, M represents continuous driving duration of the user, and the corresponding relation between the seat inclination angle and the time point and the fatigue speed is preset in a database;
f represents the fatigue degree reflected by the blink frequency of the driver in the driving video, the corresponding relation between the blink frequency and the fatigue degree is preset in a database, A, F, M and E are constants, and F, E, M and A are both larger than 0;
s204, calling historical data of drinks drunk by users under the same weather and environmental temperature, and selecting data closest to the fatigue degree as target data, wherein the types of drinks drunk by the users in the data are recorded as target drinks, and the concentration of the drinks is the target concentration;
step S205, calculating the drink temperature according to the environment temperature, the air conditioner temperature in the car, the average drink temperature of the target drink and the getting-on time of a user, and the following formula:
wherein T0 is the average drinking temperature of the target beverage, C is the local environment temperature, R is the temperature of the air conditioner in the car, S is the time for the user to get on the car, b is the temperature adjustment coefficient, and is determined by the weather of the place, S is a positive integer, and S >1, b >0.
Further, step S300 includes:
s301, placing a water cup on a panel by a user, activating a water drinking system after detecting the weight of the water cup, and measuring the bottom area and the height of the water cup through laser placed on a ceramic panel;
s302, calculating the volume of the water cup, adjusting the height of a water outlet of the water faucet according to the cup height, and enabling the water outlet to be positioned at the center of the water cup;
and S303, calculating the water consumption and the powder amount according to the volume of the water cup and the concentration of the beverage, and sending out a command for making the beverage.
Further, step S400 includes:
s401, adjusting the temperature of the primary water tank according to the drink temperature calculated in the step S200, and pushing solid drink powder of corresponding drinks into the secondary water tank from the powder tank according to the type and the concentration of the drinks;
s402, after the temperature of the primary water tank is regulated, injecting water into the secondary water tank according to the water consumption obtained in the step S303, and brewing the beverage;
s403, the telescopic water tap extracts the brewed beverage from the secondary water tank and outputs the beverage to the water cup, and the water outlet of the telescopic water tap can be adjusted.
Further, step S500 includes:
s501, acquiring traffic conditions on a driving route according to data of vehicle navigation and vehicle radar, wherein the traffic conditions comprise: distance from the traffic node, average speed of traffic flow at the traffic node, and current speed of the vehicle;
s502, calculating the minimum acceleration N of the vehicle according to the following formula:
wherein V is the current speed of the vehicle, V0 is the average speed of the traffic flow at the traffic node, L is the distance between the vehicle and the traffic node, and V, V and L are both greater than 0;
s503, analyzing the driving habit of the user, and fitting the time t used by the user for braking at the same speed each time from the historical data; calculating a risk coefficient Q according to the habit of the user, the number of vehicles in front of the road and the minimum acceleration of the vehicles:
Q＝D·N·t
wherein D is the number of vehicles in front of the road, N is the minimum acceleration of the vehicles, and t is the average time for each braking of the user at the same speed;
s504, adjusting the flow H of water flow according to the risk coefficient:
wherein H0 is the maximum flow of the faucet, r is the flow regulating coefficient, and both H0 and r are greater than 0;
step S505, when the speed change of the vehicle is detected, the water faucet horizontally stretches and rotates according to the direction and the size of the acceleration, so that the position of a water outlet of the water faucet is adjusted, and water flowing out of the water outlet can just fall into the cup;
the adjusting direction of the water outlet is opposite to the direction of the acceleration of the vehicle, and the adjusting distance is calculated according to the following formula:
wherein P is the distance between the water outlet and the initial position after adjustment, a is the acceleration of the vehicle, g is the gravity acceleration, and D is the distance between the water outlet and the cup opening in the vertical direction.
Under the condition that the acceleration of the automobile is too large, the adjustment distance easily exceeds the radius of the water cup, so that the running risk needs to be predicted, and the influence caused by water flow sprinkling is reduced.
Compared with the prior art, the invention has the following beneficial effects:
1. the system can analyze the data of other vehicle-mounted equipment, judge the drink information required by the user from multiple dimensions, and the user only needs to put the water cup on the ceramic panel, so that the system can generate the drink currently required by the user according to the drink information, and regulate the temperature and automatically brew the drink, thereby avoiding the process of manually selecting the drink by the user and enabling the manufactured drink to be more suitable for the drinking habit of the user.
2. The invention uses the water tank and the powder tank to replace the original beverage tank, and infuses various beverages on site, thereby greatly reducing the frequency of putting materials into the drinking water system by users and reducing the occupied area of the beverage tank. In addition, as only purified water is stored in the water tank, the system is convenient to heat the water tank, and the user is also convenient to clean the drinking water system.
3. The invention is suitable for various different water cups, can automatically judge the height and the capacity of the water cup of a user, ensures that the output quantity of the drink is matched with the capacity of the water cup, adjusts the height of the water faucet, does not need to use a special water cup of a traditional drinking water system, and improves the flexibility of the drinking water system.
4. The invention can predict the running condition of the vehicle, evaluate the acceleration of the sudden braking of the vehicle and dynamically adjust the water outlet flow of the faucet according to the acceleration degree; even if sudden braking or sudden acceleration occurs, the water outlet position of the water tap can be regulated, so that the water flow of the water tap can just fall in the range of the water cup, the situation that the environment in a vehicle is polluted and passengers are even scalded due to the fact that the water flow is sprayed out of the water cup when the water tap discharges water is avoided, and the safety of the vehicle-mounted drinking water system is ensured.
Drawings
The accompanying drawings are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate the invention and together with the embodiments of the invention, serve to explain the invention. In the drawings:
FIG. 1 is a schematic structural diagram of an intelligent Internet of things type vehicle control system based on man-machine interaction;
FIG. 2 is a schematic diagram of steps of an intelligent Internet of things vehicle control method based on man-machine interaction;
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1, the present invention provides the following technical solutions: intelligent Internet of things type vehicle-mounted control system based on man-machine interaction comprises: the system comprises an Internet of things module, a beverage analysis module, an intelligent interaction module, a beverage making module and a water flow control module;
the internet of things module is used for acquiring data of the vehicle-mounted equipment and positioning a user;
the internet of things module comprises: an apparatus reading unit and a positioning unit;
the device reading unit is used for acquiring data of vehicle-mounted devices, wherein the vehicle-mounted devices comprise vehicle navigation, vehicle radar, a vehicle recorder and an intelligent seat;
the positioning unit is used for positioning the vehicle according to the information provided by the vehicle navigation and the vehicle radar.
The drink analysis module is used for analyzing the data acquired in the driving process to obtain the information of the external environment in the driving process, evaluating the fatigue degree of the user, and analyzing the current drinking preference of the user by combining the historical data;
the beverage analysis module comprises: an environment analysis unit, a fatigue analysis unit and a beverage selection unit;
the environment analysis unit is used for acquiring road conditions of running of the vehicle, weather of the place and temperature of the place according to the positioning information of the vehicle and measuring the temperature in the vehicle;
the fatigue analysis unit is used for analyzing the fatigue degree of the user according to the inclination of the user seat, the force of stepping on the pedal, the continuous driving duration and the current time;
the drink selection unit is used for fitting out the current drinking preference of the user according to the historical data, the environmental information and the fatigue degree, and the drinking preference comprises the following steps: the type, temperature and concentration of the beverage.
The intelligent interaction module is used for detecting the behavior of a user for placing the water cup, calculating the volume of the water cup and automatically adjusting the height of the faucet;
the intelligent interaction module comprises: an optical measurement unit and a command issuing unit;
the optical measuring unit is used for detecting whether a user places a water cup on the ceramic plate, measuring the diameter of the bottom surface of the water cup and the height of the cup, calculating the volume of the water cup, and adjusting the height of a water outlet of the water faucet according to the height of the cup;
the command issuing unit is used for calculating the water consumption and the powder amount according to the volume of the water cup and the concentration of the beverage, and issuing a command for making the beverage to the beverage making module.
The beverage making module is used for adjusting the temperature of the water tank, adjusting the brewing flow according to beverage information, and outputting beverage required by a user from the water tap after detecting that the user places the water cup;
the beverage making module comprises: the powder box comprises a water tank unit, a powder box unit and a tap unit;
the water tank unit consists of a two-stage water tank, the one-stage water tank is used for storing purified drinking water, the electric heating wire is connected inside the one-stage water tank and can heat water in the water tank, the compressor is connected outside the water tank and can cool the water in the water tank, and the two-stage water tank is used for storing and brewing drinks;
the powder box unit consists of a powder box at the upper part of the water tank and is used for storing powder of various beverages, a control valve is arranged in the powder box and can control the output type and output quantity of the powder, and the powder is output to the secondary water tank after a command is received;
the water tap unit is composed of a telescopic water tap and is used for extracting the brewed beverage from the secondary water tank and outputting the beverage into the water cup, and the telescopic water tap can be used for adjusting the water outlet up and down and front and back.
The water flow control module is used for analyzing road conditions, evaluating vehicle acceleration, adjusting the flow of water discharged from the faucet, and adjusting the water discharge position of the faucet when the speed change of the vehicle is detected;
the water flow control module comprises: the road condition analysis unit, the flow control unit and the position adjustment unit;
the road condition analysis unit is used for analyzing traffic conditions on a driving route according to the data of the vehicle navigation, and the traffic conditions comprise: distance from the traffic node, average speed of traffic flow at the traffic node, and current speed of the vehicle;
the flow control unit is used for analyzing the acceleration of the vehicle and adjusting the water outlet flow of the faucet;
the position adjusting unit is used for detecting the acceleration direction and the acceleration of the vehicle and adjusting the water outlet position of the water tap according to the acceleration of the vehicle and the position of the water cup.
As shown in fig. 2, the intelligent internet of things type vehicle control method based on man-machine interaction comprises the following steps:
s100, after a user starts an automobile, acquiring the positioning of the automobile and the characteristics of the user according to data in the vehicle-mounted equipment;
the step S100 includes:
s101, acquiring data of vehicle-mounted equipment, wherein the vehicle-mounted equipment comprises vehicle navigation, vehicle radar, a vehicle recorder and an intelligent seat, and the acquired data comprises: driving route on vehicle navigation, driving speed on vehicle radar, driving video on a vehicle recorder and inclination angle of an intelligent seat;
s102, acquiring user characteristics according to data uploaded by vehicle-mounted equipment, wherein the user characteristics comprise: the inclination angle of the seat, the face recognition signal of the driver in the driving video, the continuous driving duration and the current system time.
S200, according to the vehicle positioning in the step S100, environment information of the vehicle is obtained, and according to the user characteristics, the fatigue degree of the user is calculated; according to the environment information and the fatigue degree of the user, analyzing the drink information currently required by the user;
step S200 includes:
s201, positioning a vehicle according to information provided by vehicle navigation and vehicle radar, and acquiring environment information of the vehicle according to positioning information of the vehicle, wherein the environment information comprises: weather of the place, temperature of the place and temperature of an air conditioner in the vehicle;
s202, using face_recognition face recognition technology to acquire blink frequency of a driver in a driving video on a vehicle recorder;
s203, calculating the fatigue degree of the user according to the user characteristics, wherein the calculation formula of the fatigue degree P is as follows:
P＝(A+E)·M+F
wherein A represents fatigue speed corresponding to the seat inclination angle, E represents fatigue speed of a user at the current time point, M represents continuous driving duration of the user, and the corresponding relation between the seat inclination angle and the time point and the fatigue speed is preset in a database;
f represents the fatigue degree reflected by the blink frequency of the driver in the driving video, the corresponding relation between the blink frequency and the fatigue degree is preset in a database, A, F, M and E are constants, and F, E, M and A are both larger than 0;
s204, calling historical data of drinks drunk by users under the same weather and environmental temperature, and selecting data closest to the fatigue degree as target data, wherein the types of drinks drunk by the users in the data are recorded as target drinks, and the concentration of the drinks is the target concentration;
step S205, calculating the drink temperature according to the environment temperature, the air conditioner temperature in the car, the average drink temperature of the target drink and the getting-on time of a user, and the following formula:
wherein T0 is the average drinking temperature of the target beverage, C is the local environment temperature, R is the temperature of the air conditioner in the car, S is the time for the user to get on the car, b is the temperature adjustment coefficient, and is determined by the weather of the place, S is a positive integer, and S >1, b >0.
Step S300 includes:
s301, placing a water cup on a panel by a user, activating a water drinking system after detecting the weight of the water cup, and measuring the bottom area and the height of the water cup through laser placed on a ceramic panel;
s302, calculating the volume of the water cup, adjusting the height of a water outlet of the water faucet according to the cup height, and enabling the water outlet to be positioned at the center of the water cup;
and S303, acquiring water consumption and powder amount according to the volume of the water cup and the concentration of the beverage, and sending out a command for making the beverage.
S400, regulating and controlling the drinking equipment according to the drink information in the step S200, and brewing drinks in the drinking equipment in advance;
step S400 includes:
s401, adjusting the temperature of the primary water tank according to the drink temperature calculated in the step S200, and pushing solid drink powder of corresponding drinks into the secondary water tank from the powder tank according to the type and the concentration of the drinks;
s402, after the temperature of the primary water tank is regulated, injecting water into the secondary water tank according to the water consumption obtained in the step S303, and brewing the beverage;
s403, the telescopic water tap extracts the brewed beverage from the secondary water tank and outputs the beverage to the water cup, and the water outlet of the telescopic water tap can be adjusted.
S500, in the water outlet process, according to data in the vehicle-mounted equipment, the acceleration of automobile deceleration is analyzed, the water flow size of a water outlet of a faucet is adjusted, when the acceleration of the automobile is detected, the horizontal telescopic length and the rotation angle of the faucet are adjusted according to the size and the direction of the acceleration, and then the position of the water outlet is adjusted, so that the water flow flowing out of the water outlet can fall into a cup exactly.
Step S500 includes:
s501, acquiring traffic conditions on a driving route according to data of vehicle navigation and vehicle radar, wherein the traffic conditions comprise: distance from the traffic node, average speed of traffic flow at the traffic node, and current speed of the vehicle;
s502, calculating the minimum acceleration N of the vehicle according to the following formula:
wherein V is the current speed of the vehicle, V0 is the average speed of the traffic flow at the traffic node, L is the distance between the vehicle and the traffic node, and V, V and L are both greater than 0;
s503, analyzing the driving habit of the user, and fitting the time t used by the user for braking at the same speed each time from the historical data; calculating a risk coefficient Q according to the habit of the user, the number of vehicles in front of the road and the minimum acceleration of the vehicles:
Q＝D·N·t
wherein D is the number of vehicles in front of the road, N is the minimum acceleration of the vehicles, and t is the average time for each braking of the user at the same speed;
s504, adjusting the flow H of water flow according to the risk coefficient:
wherein H0 is the maximum flow of the faucet, r is the flow regulating coefficient, and both H0 and r are greater than 0;
step S505, when the speed change of the vehicle is detected, the water faucet horizontally stretches and rotates according to the direction and the size of the acceleration, so that the position of a water outlet of the water faucet is adjusted, and water flowing out of the water outlet can just fall into the cup;
the adjusting direction of the water outlet is opposite to the direction of the acceleration of the vehicle, and the adjusting distance is calculated according to the following formula:
wherein P is the distance between the water outlet and the initial position after adjustment, a is the acceleration of the vehicle, g is the gravity acceleration, and D is the distance between the water outlet and the cup opening in the vertical direction.
Examples:
in the driving process of the user, acquiring data of the vehicle-mounted equipment to obtain: the inclination angle a=30 degrees, blink frequency of 20 times/min, continuous driving duration m=1 hour, when the current system time is 21, at this time e=0.5, the collected environmental information is: the local weather is negative, the external temperature is 30 ℃, the temperature of an air conditioner in a vehicle is 20 ℃, and a user gets on the vehicle for 2 hours.
Calculating the fatigue degree p=1.5 of the user; the historical data of the user drinking the beverage on the same day is recalled, wherein the user would drink a 10% strength coffee when the fatigue level is closest to the current, the T0 of the coffee is 24 ℃, b=0.6 on the negative day, and the beverage temperature t=12 ℃.
The user puts the water cup on the panel, the panel detects that the radius of the bottom of the cup is 6cm, the height of the cup is 20cm, the height of the water outlet of the water tap is adjusted according to the height of the cup, the water outlet is positioned at the center of the water cup, and the water outlet of the water tank is controlled;
in the water outlet process, detecting and obtaining the distance L=100 m between the vehicle and the traffic node, wherein the average speed V0=10 m/s of the traffic flow at the traffic node, the current speed of the vehicle is 20m/s, r=1, and D=10 cm, and judging the acceleration N=1 m/s of the vehicle 2 The flow rate is adjusted to be 1/2 of the maximum flow rate, and when the vehicle is detected to be decelerated in the horizontal direction, the acceleration of the vehicle is obtained with a=2m/s 2 When the distance P=2cm is adjusted, the water tap is retracted backwards by 2cm, so that the water flow flowing out of the water outlet can just fall into the cup.
It is noted that relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
Finally, it should be noted that: the foregoing description is only a preferred embodiment of the present invention, and the present invention is not limited thereto, but it is to be understood that modifications and equivalents of some of the technical features described in the foregoing embodiments may be made by those skilled in the art, although the present invention has been described in detail with reference to the foregoing embodiments. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (9)
1. The intelligent Internet of things type vehicle control method based on human-computer interaction is characterized by comprising the following steps of:
s100, after a user starts an automobile, acquiring the positioning of the automobile and the characteristics of the user according to data in the vehicle-mounted equipment;
s200, according to the vehicle positioning in the step S100, environment information of the vehicle is obtained, and according to the user characteristics, the fatigue degree of the user is calculated; according to the environment information and the fatigue degree of the user, analyzing the drink information currently required by the user;
s300, after the user is detected to place the water cup on the panel, measuring the height and the bottom diameter of the water cup, calculating the volume of the water cup, adjusting the height of a water outlet of the water faucet according to the cup height, preparing a drink, and turning to the step S400;
s400, regulating and controlling the drinking equipment according to the drink information in the step S200, and brewing drinks in the drinking equipment in advance;
s500, in the water outlet process, according to data in the vehicle-mounted equipment, analyzing the acceleration of the automobile, adjusting the water flow size of a water outlet of the faucet, and when the acceleration of the automobile is detected, adjusting the horizontal telescopic length and the rotation angle of the faucet according to the size and the direction of the acceleration, so as to adjust the position of the water outlet;
step S500 includes:
s501, acquiring traffic conditions on a driving route according to data of vehicle navigation and vehicle radar, wherein the traffic conditions comprise: distance from the traffic node, average speed of traffic flow at the traffic node, and current speed of the vehicle;
s502, calculating the minimum acceleration N of the vehicle according to the following formula:
wherein V is the current speed of the vehicle, V0 is the average speed of the traffic flow at the traffic node, L is the distance between the vehicle and the traffic node, and V, V and L are both greater than 0;
s503, analyzing the driving habit of the user, and fitting the time t used by the user for braking at the same speed each time from the historical data; calculating a risk coefficient Q according to the habit of the user, the number of vehicles in front of the road and the minimum acceleration of the vehicles:
Q＝D·N·t
wherein D is the number of vehicles in front of the road, N is the minimum acceleration of the vehicles, and t is the average time for each braking of the user at the same speed;
s504, adjusting the flow H of water flow according to the risk coefficient:
wherein H0 is the maximum flow of the faucet, r is the flow regulating coefficient, and both H0 and r are greater than 0;
step S505, when the speed change of the vehicle is detected, the water faucet horizontally stretches and rotates according to the direction and the size of the acceleration, so that the position of a water outlet of the water faucet is adjusted, and water flowing out of the water outlet can just fall into the cup;
the adjusting direction of the water outlet is opposite to the direction of the acceleration of the vehicle, and the adjusting distance is calculated according to the following formula:
wherein P is the distance between the water outlet and the initial position after adjustment, a is the acceleration of the vehicle, g is the gravity acceleration, and D is the distance between the water outlet and the cup opening in the vertical direction.
2. The intelligent internet of things vehicle-mounted control method based on man-machine interaction according to claim 1, wherein the method comprises the following steps:
the step S100 includes:
s101, acquiring data of vehicle-mounted equipment, wherein the vehicle-mounted equipment comprises vehicle navigation, vehicle radar, a vehicle recorder and an intelligent seat, and the acquired data comprises: driving route on vehicle navigation, driving speed on vehicle radar, driving video on a vehicle recorder and inclination angle of an intelligent seat;
s102, acquiring user characteristics according to data uploaded by vehicle-mounted equipment, wherein the user characteristics comprise: the inclination angle of the seat, the driving video on the automobile data recorder, the continuous driving duration and the current system time.
3. The intelligent internet of things vehicle-mounted control method based on man-machine interaction according to claim 2, wherein the method comprises the following steps:
step S200 includes:
s201, positioning a vehicle according to information provided by vehicle navigation and vehicle radar, and acquiring environment information of the vehicle according to positioning information of the vehicle, wherein the environment information comprises: weather of the place, temperature of the place and temperature of an air conditioner in the vehicle;
s202, using face_recognition face recognition technology to acquire blink frequency of a driver in a driving video on a vehicle recorder;
s203, calculating the fatigue degree of the user according to the user characteristics, wherein the calculation formula of the fatigue degree P is as follows:
P＝(A+E)·M+F
wherein A represents fatigue speed corresponding to the seat inclination angle, E represents fatigue speed of a user at the current time point, M represents continuous driving duration of the user, and the corresponding relation between the seat inclination angle and the time point and the fatigue speed is preset in a database;
f represents the fatigue degree reflected by the blink frequency of the driver in the driving video, the corresponding relation between the blink frequency and the fatigue degree is preset in a database, A, F, M and E are constants, and F, E, M and A are both larger than 0;
s204, calling historical data of drinks drunk by users under the same weather and environmental temperature, and selecting data closest to the fatigue degree as target data, wherein the types of drinks drunk by the users in the data are recorded as target drinks, and the concentration of the drinks is the target concentration;
step S205, calculating the drink temperature according to the environment temperature, the air conditioner temperature in the car, the average drink temperature of the target drink and the getting-on time of a user, and the following formula:
wherein T0 is the average drinking temperature of the target beverage, C is the local environment temperature, R is the temperature of the air conditioner in the car, S is the time for the user to get on the car, b is the temperature adjustment coefficient, and is determined by the weather of the place, S is a positive integer, and S >1, b >0.
4. The intelligent internet of things vehicle-mounted control method based on man-machine interaction according to claim 3, wherein the method comprises the following steps: step S300 includes:
s301, placing a water cup on a panel by a user, activating a water drinking system after detecting the weight of the water cup, and measuring the bottom area and the height of the water cup through laser placed on a ceramic panel;
s302, calculating the volume of the water cup, adjusting the height of a water outlet of the water faucet according to the cup height, and enabling the water outlet to be positioned at the center of the water cup;
s303, calculating water consumption and powder amount according to the volume of the water cup and the concentration of the beverage, and sending out a command for making the beverage;
step S400 includes:
s401, adjusting the temperature of the primary water tank according to the drink temperature calculated in the step S200, and pushing solid drink powder of corresponding drinks into the secondary water tank from the powder tank according to the type and the concentration of the drinks;
s402, after the temperature of the primary water tank is regulated, injecting water into the secondary water tank according to the water consumption obtained in the step S303, and brewing the beverage;
s403, the telescopic water tap extracts the brewed beverage from the secondary water tank and outputs the beverage to the water cup, and the water outlet of the telescopic water tap can be adjusted.
5. An intelligent internet of things vehicle-mounted control system based on man-machine interaction, which executes the intelligent internet of things vehicle-mounted control method based on man-machine interaction described in claim 1, is characterized in that: the system comprises the following modules: the system comprises an Internet of things module, a beverage analysis module, an intelligent interaction module, a beverage making module and a water flow control module;
the internet of things module is used for acquiring data of the vehicle-mounted equipment and positioning a user;
the drink analysis module is used for analyzing the data acquired in the driving process to obtain the information of the external environment in the driving process, evaluating the fatigue degree of the user, and analyzing the current drinking preference of the user by combining the historical data;
the intelligent interaction module is used for detecting the behavior of a user for placing the water cup, calculating the volume of the water cup and automatically adjusting the height of the faucet;
the beverage making module is used for adjusting the temperature of the water tank, adjusting the brewing flow according to beverage information, and outputting beverage required by a user from the water tap after detecting that the user places the water cup;
the water flow control module is used for analyzing road conditions, evaluating vehicle acceleration, adjusting flow when the water tap outputs water, and adjusting the water outlet position of the water tap when the speed change of the vehicle is detected.
6. The human-computer interaction-based intelligent internet of things vehicle control system according to claim 5, wherein: the internet of things module comprises: an apparatus reading unit and a positioning unit;
the device reading unit is used for acquiring data of vehicle-mounted devices, wherein the vehicle-mounted devices comprise vehicle navigation, vehicle radar, a vehicle recorder and an intelligent seat;
the positioning unit is used for positioning the vehicle according to the information provided by the vehicle navigation and the vehicle radar;
the beverage analysis module comprises: an environment analysis unit, a fatigue analysis unit and a beverage selection unit;
the environment analysis unit is used for acquiring road conditions of running of the vehicle, weather of the place and temperature of the place according to the positioning information of the vehicle and measuring the temperature in the vehicle;
the fatigue analysis unit is used for analyzing the fatigue degree of the user according to the inclination of the user seat, the face recognition information in the automobile data recorder, the continuous driving duration and the current time;
the drink selection unit is used for fitting out the current drinking preference of the user according to the historical data, the environmental information and the fatigue degree, and the drinking preference comprises the following steps: the type, temperature and concentration of the beverage.
7. The human-computer interaction-based intelligent internet of things vehicle control system of claim 6, wherein:
the intelligent interaction module comprises: an optical measurement unit and a command issuing unit;
the optical measuring unit is used for detecting whether a user places a water cup on the ceramic plate, measuring the diameter of the bottom surface of the water cup and the height of the cup, calculating the volume of the water cup, and adjusting the height of a water outlet of the water faucet according to the height of the cup;
the command issuing unit is used for calculating the water consumption and the powder amount according to the volume of the water cup and the concentration of the beverage, and issuing a command for making the beverage to the beverage making module.
8. The intelligent internet of things vehicle control system based on man-machine interaction of claim 7, wherein:
the beverage making module comprises: the powder box comprises a water tank unit, a powder box unit and a tap unit;
the water tank unit consists of a two-stage water tank, the one-stage water tank is used for storing purified drinking water, the electric heating wire is connected inside the one-stage water tank and can heat water in the water tank, the compressor is connected outside the water tank and can cool the water in the water tank, and the two-stage water tank is used for storing and brewing drinks;
the powder box unit consists of a powder box at the upper part of the water tank and is used for storing powder of various beverages, a control valve is arranged in the powder box and can control the output type and output quantity of the powder, and the powder is output to the secondary water tank after a command is received;
the water tap unit is composed of a telescopic water tap and is used for extracting the brewed beverage from the secondary water tank and outputting the beverage into the water cup, and the telescopic water tap can be used for adjusting the water outlet up and down and front and back.
9. The intelligent internet of things vehicle control system based on man-machine interaction of claim 8, wherein:
the water flow control module comprises: the road condition analysis unit, the flow control unit and the position adjustment unit;
the road condition analysis unit is used for analyzing traffic conditions on a driving route according to the data of the vehicle navigation, and the traffic conditions comprise: distance from the traffic node, average speed of traffic flow at the traffic node, and current speed of the vehicle;
the flow control unit is used for analyzing the acceleration of the vehicle and adjusting the water outlet flow of the faucet;
the position adjusting unit is used for detecting the acceleration direction and the acceleration of the vehicle and adjusting the water outlet position of the water tap according to the acceleration of the vehicle and the position of the water cup.
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