CN113276626B - Intelligent air conditioner induction control system for unmanned automobile - Google Patents
Intelligent air conditioner induction control system for unmanned automobile Download PDFInfo
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- CN113276626B CN113276626B CN202110653815.XA CN202110653815A CN113276626B CN 113276626 B CN113276626 B CN 113276626B CN 202110653815 A CN202110653815 A CN 202110653815A CN 113276626 B CN113276626 B CN 113276626B
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60H—ARRANGEMENTS OF HEATING, COOLING, VENTILATING OR OTHER AIR-TREATING DEVICES SPECIALLY ADAPTED FOR PASSENGER OR GOODS SPACES OF VEHICLES
- B60H1/00—Heating, cooling or ventilating [HVAC] devices
- B60H1/00642—Control systems or circuits; Control members or indication devices for heating, cooling or ventilating devices
- B60H1/00735—Control systems or circuits characterised by their input, i.e. by the detection, measurement or calculation of particular conditions, e.g. signal treatment, dynamic models
- B60H1/00764—Control systems or circuits characterised by their input, i.e. by the detection, measurement or calculation of particular conditions, e.g. signal treatment, dynamic models the input being a vehicle driving condition, e.g. speed
Abstract
The invention relates to the technical field of vehicle-mounted air conditioners, in particular to an intelligent air conditioner induction control system for an unmanned automobile, which is characterized in that a parking area is generated based on unmanned vehicle positioning information and user positioning information; then obtaining an undirected graph of the intersection nodes within a preset range around the parking area; after the user leaves the parking area, generating a target area; then, acquiring intersection nodes which are passed by a user from a parking area to a target area as a first intersection node sequence; after the user leaves the target area, updating the second intersection node sequence in real time and calculating the path matching degree based on the positioning information of the user; finally, when the path matching degree is larger than a preset threshold value d, controlling an air conditioner of the unmanned vehicle to be started; whether the user wants to return to the vehicle is judged based on the departure path and the return path of the user, and the air conditioner is automatically started in advance before the user arrives at the vehicle, so that the vehicle-mounted air conditioner of the unmanned vehicle is controlled in advance.
Description
Technical Field
The invention relates to the technical field of vehicle-mounted air conditioners, in particular to an intelligent air conditioner induction control system for an unmanned automobile.
Background
With the development of the technology, more and more users select the unmanned automobile, the automobile can be controlled through the intelligent control system, manual control of the users is not needed, and the automobile can be used more conveniently;
however, the existing unmanned vehicles are intelligently and automatically controlled in a running control system of the vehicle, and the air-conditioning control system for improving the use comfort of users is not deeply and intelligently controlled, the existing air-conditioning system needs to be manually controlled to be turned on or turned off by the users, the intelligent degree is not high, and the existing air-conditioning system cannot be intelligently and automatically turned on before the users get on the vehicle;
in view of the above technical drawbacks, a solution is proposed.
Disclosure of Invention
Technical problem to be solved
Aiming at the defects of the prior art, the invention provides an intelligent air conditioner induction control system for an unmanned automobile, which solves the problem that the existing vehicle-mounted air conditioner cannot be intelligently and automatically started in advance.
(II) technical scheme
In order to achieve the purpose, the invention is realized by the following technical scheme:
an intelligent air conditioner induction control system for an unmanned vehicle, comprising:
the parking area generating module is used for generating a parking area based on the positioning information of the unmanned vehicle and the positioning information of the user;
the map acquisition module is used for acquiring an undirected graph of the intersection nodes in a preset range around the parking area;
the target area generating module is used for generating a target area based on the positioning information of the user after the user leaves the parking area;
the first intersection node sequence generating module is used for acquiring intersection nodes which are passed by a user from a parking area to a target area and is used as a first intersection node sequence;
the second intersection node sequence generation module is used for updating intersection nodes passed by the user in real time based on the positioning information of the user as a second intersection node sequence after the user leaves the target area;
the path matching degree calculation module is used for calculating the path matching degree based on the first intersection node sequence and the second intersection node sequence;
and the air conditioner control module is used for controlling the air conditioner of the unmanned vehicle to be started when the path matching degree is greater than a preset threshold value d.
Further, the generating a parking area based on the unmanned vehicle positioning information and the user positioning information includes:
when the distance between the positioning information of the unmanned vehicle and the positioning information of the user is greater than a first preset distance a after the unmanned vehicle stops, the position of the unmanned vehicle is used as the circle center of the parking area, and the first preset distance a is used as the radius to obtain the parking area.
Further, the acquiring an undirected graph of the intersection nodes within a preset range around the parking area includes:
obtaining map data which takes the circle center position of the parking area as the circle center and takes the second preset distance b as the radius;
and based on the intersection and road section information in the map data, each intersection is taken as a node to obtain a corresponding intersection node undirected graph.
Further, after the user leaves the parking area, generating a target area based on the positioning information of the user includes:
acquiring positioning information of a user in real time; when the positioning information of the user is outside the parking area, judging that the user leaves the parking area;
when the positioning information of the user is in the positioning dead zone within a preset time period t, taking the positioning dead zone as a target zone;
the circle center of the positioning dead zone is real-time positioning information of a user, and the radius of the positioning dead zone is a third preset distance c.
Further, the acquiring intersection nodes that the user passes from the parking area to the target area as the first intersection node sequence includes:
taking the circle center of the parking area as a starting point and the circle center of the target area as an end point to obtain a starting path from the parking area to the target area;
and sequentially acquiring corresponding intersection nodes based on the starting path to obtain a first intersection node sequence.
Further, after the user leaves the target area, based on the positioning information of the user, the intersection node through which the user passes is updated in real time as a second intersection node sequence, including:
acquiring positioning information of a user in real time; when the positioning information of the user is outside the target area, judging that the user leaves the target area;
and updating the intersection nodes passed by the user in real time according to the sequence to obtain a second intersection node sequence.
Further, the calculating a path matching degree based on the first intersection node sequence and the second intersection node sequence includes:
calculating the path matching degree once when the second intersection node sequence is updated once;
the method for calculating the path matching degree p comprises the following steps:
wherein n is the weight sum of the road sections which are continuously the same as the road sections corresponding to the first intersection node sequence in the road sections corresponding to the second intersection node sequence;
and N is the weight sum from the first intersection node corresponding to the continuous same road section to the rest outgoing road sections in the parking area.
Further, when the path matching degree is greater than a preset threshold d, controlling an air conditioner of the unmanned vehicle to be turned on includes:
and when the path matching degree is greater than a preset threshold value d, controlling the air conditioner of the unmanned vehicle to be started through the mobile communication network.
Further, before the air conditioner of the unmanned vehicle is controlled to be started, the temperature difference between the inside and the outside of the vehicle is obtained, if the temperature difference is larger than a preset temperature e, the air conditioner is started, and otherwise, the air conditioner is not started.
Further, when the path matching degree is compared with a preset threshold d, the method further includes calculating the number of the road sections of the remaining departure path, and if only the last road section remains, making the path matching degree greater than the preset threshold d.
(III) advantageous effects
Firstly, generating a parking area based on positioning information of an unmanned vehicle and positioning information of a user; then obtaining an undirected graph of the intersection nodes within a preset range around the parking area; then, after the user leaves the parking area, a target area is generated based on the positioning information of the user; then, acquiring intersection nodes which are passed by a user from a parking area to a target area as a first intersection node sequence; after the user leaves the target area, based on the positioning information of the user, the intersection nodes passed by the user are updated in real time to serve as a second intersection node sequence; meanwhile, calculating the path matching degree in real time based on the first intersection node sequence and the second intersection node sequence; and finally, when the path matching degree is greater than a preset threshold value d, controlling the air conditioner of the unmanned vehicle to be started. Therefore, through the steps, whether the user wants to return to the vehicle or not can be judged based on the starting path and the returning path of the user, and the air conditioner is automatically started in advance before the user arrives at the vehicle, so that the vehicle-mounted air conditioner of the unmanned vehicle can be controlled in advance.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in 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 invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a system block diagram of an embodiment of the present invention;
fig. 2 is a partial schematic view of a road node undirected graph according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention are clearly and completely described, and it is obvious that the described embodiments are a part of the embodiments of the present invention, but not all of the 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 invention.
The embodiment of the application solves the problem that the existing vehicle-mounted air conditioner cannot be intelligently and automatically opened in advance by providing the intelligent air conditioner induction control system for the unmanned automobile.
In order to better understand the technical solution, the technical solution will be described in detail with reference to the drawings and the specific embodiments.
An embodiment of the present invention provides an intelligent air conditioner sensing control system for an unmanned vehicle, which is shown in fig. 1 and includes:
the parking area generating module is used for generating a parking area based on the positioning information of the unmanned vehicle and the positioning information of the user;
the map acquisition module is used for acquiring an undirected graph of the intersection nodes in a preset range around the parking area;
the target area generating module is used for generating a target area based on the positioning information of the user after the user leaves the parking area;
the first intersection node sequence generating module is used for acquiring intersection nodes which are passed by a user from a parking area to a target area and is used as a first intersection node sequence;
the second intersection node sequence generation module is used for updating intersection nodes passed by the user in real time based on the positioning information of the user as a second intersection node sequence after the user leaves the target area;
the path matching degree calculating module is used for calculating the path matching degree based on the first intersection node sequence and the second intersection node sequence;
and the air conditioner control module is used for controlling the air conditioner of the unmanned vehicle to be started when the path matching degree is greater than a preset threshold value d.
The embodiment of the invention has the beneficial effects that:
firstly, generating a parking area based on positioning information of an unmanned vehicle and positioning information of a user; then obtaining an undirected graph of the intersection nodes within a preset range around the parking area; then, after the user leaves the parking area, a target area is generated based on the positioning information of the user; then, acquiring intersection nodes which are passed by a user from a parking area to a target area as a first intersection node sequence; after the user leaves the target area, based on the positioning information of the user, the intersection nodes passed by the user are updated in real time to serve as a second intersection node sequence; meanwhile, calculating the path matching degree in real time based on the first intersection node sequence and the second intersection node sequence; and finally, when the path matching degree is greater than a preset threshold value d, controlling the air conditioner of the unmanned vehicle to be started. Therefore, through the steps, whether the user wants to return to the vehicle or not can be judged based on the starting path and the returning path of the user, and the air conditioner is automatically started in advance before the user arrives at the vehicle, so that the vehicle-mounted air conditioner of the unmanned vehicle can be controlled in advance.
Further, generating a parking area based on the unmanned vehicle positioning information and the user positioning information includes:
when the distance between the positioning information of the unmanned vehicle and the positioning information of the user is greater than a first preset distance a after the unmanned vehicle stops, the position of the unmanned vehicle is used as the circle center of the parking area, and the first preset distance a is used as the radius to obtain the parking area.
Further, acquiring an undirected graph of the intersection nodes within a preset range around the parking area, comprising:
obtaining map data which takes the circle center position of the parking area as the circle center and takes the second preset distance b as the radius;
and based on the intersection and road section information in the map data, each intersection is taken as a node to obtain a corresponding intersection node undirected graph.
Further, after the user leaves the parking area, generating a target area based on the positioning information of the user includes:
acquiring positioning information of a user in real time; when the positioning information of the user is outside the parking area, judging that the user leaves the parking area;
when the positioning information of the user is in the positioning dead zone within a preset time period t, taking the positioning dead zone as a target zone;
the circle center of the positioning dead zone is real-time positioning information of a user, and the radius of the positioning dead zone is a third preset distance c.
Further, acquiring intersection nodes that a user passes from a parking area to a target area as a first intersection node sequence includes:
taking the circle center of the parking area as a starting point and the circle center of the target area as an end point to obtain a starting path from the parking area to the target area;
and sequentially acquiring corresponding intersection nodes based on the starting path to obtain a first intersection node sequence.
Further, after the user leaves the target area, based on the positioning information of the user, the intersection node through which the user passes is updated in real time as a second intersection node sequence, which includes:
acquiring positioning information of a user in real time; when the positioning information of the user is outside the target area, judging that the user leaves the target area;
and updating the intersection nodes passed by the user in real time according to the sequence to obtain a second intersection node sequence.
Further, calculating a path matching degree based on the first intersection node sequence and the second intersection node sequence, including:
calculating the path matching degree once when the second intersection node sequence is updated once;
the method for calculating the path matching degree p comprises the following steps:
wherein n is the weight sum of the road sections which are continuously the same as the road sections corresponding to the first intersection node sequence in the road sections corresponding to the second intersection node sequence;
and N is the weight sum from the first intersection node corresponding to the continuous same road section to the rest outgoing road sections in the parking area.
Further, when the path matching degree is greater than a preset threshold value d, controlling the air conditioner of the unmanned vehicle to be turned on, including:
and when the path matching degree is greater than a preset threshold value d, controlling the air conditioner of the unmanned vehicle to be started through the mobile communication network.
Further, before an air conditioner of the unmanned vehicle is controlled to be started, the temperature difference between the inside and the outside of the vehicle is obtained, if the temperature difference is larger than a preset temperature e, the air conditioner is started, and otherwise, the air conditioner is not started.
Further, when the path matching degree is compared with a preset threshold d, the method further includes calculating the number of the road sections of the remaining departure path, and if only the last road section remains, making the path matching degree greater than the preset threshold d.
The following examples illustrate the invention in detail:
in the embodiment of the invention, the user can be a driver or passengers of other vehicles, and the positioning information of the user can be acquired through portable mobile communication equipment, such as a mobile phone, an intelligent vehicle key, intelligent wearing equipment and the like, and is provided with the positioning module, so that the positioning information can be acquired in real time.
The method comprises the following specific steps:
and S1, generating a parking area based on the positioning information of the unmanned vehicle and the positioning information of the user through a parking area generating module. Specifically, the method comprises the following steps:
when the distance between the unmanned vehicle positioning information and the user positioning information is larger than a first preset distance a after the unmanned vehicle stops, for example, a is 10m, the position of the unmanned vehicle is taken as the center of a circle of a parking area, and the first preset distance a is taken as a radius to obtain the parking area;
after the parking area is generated, when the vehicle does not move out of the parking area, the unmanned vehicle can be determined not to move.
And S2, acquiring the undirected graph of the intersection nodes in the preset range around the parking area through the map acquisition module. Specifically, the method comprises the following steps:
acquiring map data taking the position of the center of the parking area as the center of a circle and a second preset distance b, for example, b being 5km as a radius;
based on the intersection and road section information in the map data, each intersection is taken as a node, the weight of two adjacent intersections is greater than 0, the two intersections are communicated to form a road section, the weight is 0, the intersections are not communicated to form the road section, and the corresponding intersection node undirected graph is obtained. For example, as shown in fig. 2, the partial schematic diagram of an undirected graph of intersection nodes is shown, where the undirected graph includes intersections 1 to 8, the weights of intersections 1 and 3 are greater than 0, that is, the intersections are connected, there is a road segment, and the weights of intersections 1 and 4 are 0, that is, the intersections are not connected (not shown in the figure), there is no road segment. For road segments other than 0, the weight may be set according to the distance of the road segment.
And S3, generating the target area based on the positioning information of the user through the target area generating module after the user leaves the parking area. Specifically, the method comprises the following steps:
acquiring positioning information of a user in real time; when the positioning information of the user is outside the parking area, judging that the user leaves the parking area;
when the positioning information of the user is in the positioning dead zone within a preset time period t, taking the positioning dead zone as a target zone; i.e. the user reaches the target position.
The circle center of the positioning dead zone is the real-time positioning information of the user, and the radius is a third preset distance c, for example, the preset distance c is 20 m.
S4, acquiring intersection nodes passed by the user from the parking area to the target area through the first intersection node sequence generation module as a first intersection node sequence. Specifically, the method comprises the following steps:
taking the circle center of the parking area as a starting point and the circle center of the target area as an end point to obtain a starting path from the parking area to the target area;
and sequentially acquiring corresponding intersection nodes based on the starting path to obtain a first intersection node sequence.
For example, the following steps are carried out: after the parking area and the target area are determined, the parking area and the target area are also used as nodes, a moving path of a user can be obtained according to the collected positioning information, and then a corresponding passing node sequence is obtained, for example, in fig. 2, a starting path (shown by a dotted line in the figure) of the user is a road section from the parking area to the intersection 4, a road section from the intersection 4 to the intersection 7, a road section from the intersection 7 to the intersection 8, and a road section from the intersection 8 to the target area are obtained, and then the first road node sequence is the parking area, the intersection 4, the intersection 7, the intersection 8, and the target area.
And S5, updating the intersection nodes passed by the user in real time as a second intersection node sequence based on the positioning information of the user after the user leaves the target area through a second intersection node sequence generation module. Specifically, the method comprises the following steps:
acquiring positioning information of a user in real time; when the positioning information of the user is outside the target area, judging that the user leaves the target area;
and updating the intersection nodes passed by the user in real time according to the sequence to obtain a second intersection node sequence.
And S6, calculating the path matching degree based on the first intersection node sequence and the second intersection node sequence through a path matching degree calculation module. Specifically, the method comprises the following steps:
calculating the path matching degree once when the second intersection node sequence is updated once;
the method for calculating the path matching degree p comprises the following steps:
wherein n is the weight sum of the road sections which are continuously the same as the road sections corresponding to the first intersection node sequence in the road sections corresponding to the second intersection node sequence;
and N is the weight sum from the first intersection node corresponding to the continuous same road section to the rest outgoing road sections in the parking area.
For example, assume that the first intersection node sequence is a parking area, an intersection 4, an intersection 7, an intersection 8, and a target area, and the weights of the corresponding road segments are 5, 4, 3, and 3 in sequence.
If the road segment currently passed by the user is the road segment from the target area to the intersection 8, updating the second intersection node sequence to be the target area and the intersection 8, calculating a path matching degree p once, at this time, if the continuous same road segment is from the target area to the intersection 8, then the first intersection node corresponding to the continuous same road segment is the target area, then N is 5+4+3+3 is 15, and N is 3, then p is 0.2;
if the user continues to walk, the user passes through the intersection 9, the intersection 6 and the intersection 7, at this time, because the intersection 8 reaches the intersection 9, the intersection 9 reaches the intersection 6 and the intersection 6 reaches the intersection 7, the user is not on the departure path, that is, the continuous same road section still only has the target area reaching the intersection 8, and at this time, p is 0.2.
When the user continues to walk and passes through the intersection 7 and the intersection 4, at this time, because the user is not a continuous same road segment, the first intersection node corresponding to the continuous same road segment is changed to the intersection 7, and the continuous same road segment is from the intersection 7 to the intersection 4 at this time, that is, N is 4+5 is 9, and p is 0.44.
And S7, controlling the air conditioner of the unmanned vehicle to be started when the path matching degree is larger than a preset threshold value d through the air conditioner control module. Specifically, the method comprises the following steps:
and when the path matching degree is greater than a preset threshold value d, for example, d is 0.5, controlling the air conditioner of the unmanned vehicle to be started through the mobile communication network.
According to the requirement, before the air conditioner of the unmanned vehicle is controlled to be started, the temperature difference between the inside and the outside of the vehicle can be obtained, if the temperature difference is larger than the preset temperature e, the air conditioner is started, otherwise, the air conditioner is not started.
According to the requirement, when the matching degree of the path is compared with the preset threshold value d, the method can further comprise the steps of calculating the number of the road sections of the remaining departure path, and if only the last road section is left, enabling the matching degree of the path to be larger than d.
Compared with the prior art, the method has the following beneficial effects:
firstly, generating a parking area based on positioning information of an unmanned vehicle and positioning information of a user; then obtaining an undirected graph of the intersection nodes within a preset range around the parking area; then, after the user leaves the parking area, a target area is generated based on the positioning information of the user; then, acquiring intersection nodes which are passed by a user from a parking area to a target area as a first intersection node sequence; after the user leaves the target area, based on the positioning information of the user, the intersection nodes passed by the user are updated in real time to serve as a second intersection node sequence; meanwhile, calculating the path matching degree in real time based on the first intersection node sequence and the second intersection node sequence; and finally, when the path matching degree is greater than a preset threshold value d, controlling the air conditioner of the unmanned vehicle to be started. Therefore, through the steps, whether the user wants to return to the vehicle or not can be judged based on the starting path and the returning path of the user, and the air conditioner is automatically started in advance before the user arrives at the vehicle, so that the vehicle-mounted air conditioner of the unmanned vehicle can be controlled in advance.
It is noted that, herein, relational terms such as first and second, and the like may be 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. Also, 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. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
The above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (4)
1. An intelligent air conditioner induction control system for an unmanned vehicle, comprising:
the parking area generating module is used for generating a parking area based on the positioning information of the unmanned vehicle and the positioning information of the user;
the map acquisition module is used for acquiring an undirected graph of the intersection nodes in a preset range around the parking area;
the target area generating module is used for generating a target area based on the positioning information of the user after the user leaves the parking area;
the first intersection node sequence generating module is used for acquiring intersection nodes which are passed by a user from a parking area to a target area and is used as a first intersection node sequence;
the second intersection node sequence generation module is used for updating intersection nodes passed by the user in real time based on the positioning information of the user as a second intersection node sequence after the user leaves the target area;
the path matching degree calculating module is used for calculating the path matching degree based on the first intersection node sequence and the second intersection node sequence;
the air conditioner control module is used for controlling the air conditioner of the unmanned vehicle to be started when the path matching degree is greater than a preset threshold value d;
the generating of the parking area based on the unmanned vehicle positioning information and the user positioning information includes:
when the distance between the positioning information of the unmanned vehicle and the positioning information of the user is greater than a first preset distance a after the unmanned vehicle stops, taking the position of the unmanned vehicle as the center of a circle of a parking area, and taking the first preset distance a as a radius to obtain the parking area;
after the user leaves the parking area, generating a target area based on the positioning information of the user, including:
acquiring positioning information of a user in real time; when the positioning information of the user is outside the parking area, judging that the user leaves the parking area;
when the positioning information of the user is in the positioning dead zone within a preset time period t, taking the positioning dead zone as a target zone;
the circle center of the positioning dead zone is real-time positioning information of a user, and the radius of the positioning dead zone is a third preset distance c;
the calculating the path matching degree based on the first intersection node sequence and the second intersection node sequence comprises the following steps:
calculating the path matching degree once when the second intersection node sequence is updated once;
the method for calculating the path matching degree p comprises the following steps:
wherein n is the weight sum of the road sections which are continuously the same as the road sections corresponding to the first intersection node sequence in the road sections corresponding to the second intersection node sequence;
n is the weight sum from the first intersection node corresponding to the continuous same road section to the rest outgoing road section of the parking area;
when the path matching degree is greater than a preset threshold value d, controlling the air conditioner of the unmanned vehicle to be started, and the method comprises the following steps:
when the path matching degree is greater than a preset threshold value d, controlling an air conditioner of the unmanned vehicle to be started through the mobile communication network;
before the air conditioner for controlling the unmanned vehicle is started, acquiring the temperature difference between the inside and the outside of the vehicle, if the temperature difference is greater than a preset temperature e, starting the air conditioner, otherwise, not starting the air conditioner;
when the matching degree of the path is compared with a preset threshold value d, the method further comprises the steps of calculating the number of the road sections of the remaining starting path, and if only the last road section is left, enabling the matching degree of the path to be larger than the preset threshold value d.
2. The intelligent air-conditioning induction control system for the unmanned automobile as claimed in claim 1, wherein the obtaining of the undirected graph of the intersection nodes within the preset range around the parking area comprises:
obtaining map data which takes the circle center position of the parking area as the circle center and takes the second preset distance b as the radius;
and based on the intersection and road section information in the map data, each intersection is taken as a node to obtain a corresponding intersection node undirected graph.
3. The intelligent air-conditioning induction control system for the unmanned vehicle as claimed in claim 1, wherein the acquiring intersection nodes passed by the user from the parking area to the target area as the first intersection node sequence comprises:
taking the circle center of the parking area as a starting point and the circle center of the target area as an end point to obtain a starting path from the parking area to the target area;
and sequentially acquiring corresponding intersection nodes based on the starting path to obtain a first intersection node sequence.
4. The intelligent air-conditioning induction control system for the unmanned vehicle as claimed in claim 3, wherein after the user leaves the target area, the intersection node passed by the user is updated in real time based on the positioning information of the user, and the updated intersection node is used as a second intersection node sequence, and the method comprises the following steps:
acquiring positioning information of a user in real time; when the positioning information of the user is outside the target area, judging that the user leaves the target area;
and updating the intersection nodes passed by the user in real time according to the sequence to obtain a second intersection node sequence.
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