CN113393343B - Scenic spot explaining method and device, electronic equipment and medium - Google Patents
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Abstract
The application discloses a scenic spot explaining method, a scenic spot explaining device, electronic equipment and a medium, and relates to the technical field of artificial intelligence. The specific implementation scheme is as follows: determining an initial detection radius according to sub-scenic spot information in a scenic spot where a user is located; determining a current detection radius according to the initial detection radius; and selecting a target sub-scenic spot from candidate sub-scenic spots obtained by detection with the current detection radius for explanation. According to the embodiment of the application, the initial detection radius is dynamically and adaptively determined and adjusted, so that the problem that scenic spots are difficult to accurately and rapidly detect due to the fact that the initial detection radius is fixed when the experience detection radius is used as the initial detection radius is avoided, and the target sub-scenic spots are selected from the detected candidate sub-scenic spots to explain, so that the triggering efficiency of sub-scenic spot explanation is improved.
Description
Technical Field
The application relates to the technical field of computers, in particular to an artificial intelligence technology, and specifically relates to a scenic spot explanation method, a scenic spot explanation device, electronic equipment and a medium.
Background
At present, tour guide products can conduct voice self-help explanation on scenic spots in scenic spots through the explanation function. In the process that the user uses the tour guide product in the scenic spot, the tour guide product determines sub scenic spots in the area where the user is located according to the positioning position of the user and the experience triggering radius issued by the server, and announces explanation information of the sub scenic spots in the area where the user is located.
However, since the empirical trigger radius is determined depending on a manual empirical value, it is costly. In addition, the empirical trigger radius is a fixed value, and it is difficult to trigger explanation for sub-scenic spots with too large Area Of AOI (Area Of Interest) and sub-scenic spots far from the road.
Disclosure of Invention
The scenic spot interpretation method, the scenic spot interpretation device, the electronic equipment and the medium provided by the embodiment of the application are used for dynamically determining and adjusting the initial detection radius and the current detection radius, accurately and efficiently detecting and determining the target sub-scenic spot to conduct voice interpretation.
The embodiment of the application discloses a scenic spot explaining method, which comprises the following steps:
Determining an initial detection radius according to sub-scenic spot information in a scenic spot where a user is located;
determining a current detection radius according to the initial detection radius;
and selecting a target sub-scenic spot from candidate sub-scenic spots obtained by detection with the current detection radius for explanation.
The above embodiment has the following advantages or beneficial effects: the initial detection radius is dynamically and adaptively determined and adjusted, and the current detection radius is determined according to the initial detection radius, so that the problem that candidate sub-scenic spots are difficult to accurately and rapidly detect due to the fact that the initial detection radius is fixed when the experience detection radius is used as the initial detection radius is solved, the effect that the candidate sub-scenic spots are accurately and efficiently detected, target sub-scenic spots are selected from the candidate sub-scenic spots to explain, and the scenic spot explanation triggering efficiency is improved.
Further, determining an initial detection radius according to sub-sight information in a sight area where a user is located, including:
If the sub-scenic spots in the scenic spot where the user is located have binding data, determining the maximum binding distance and the minimum binding distance of the sub-scenic spots in the scenic spot;
Detecting by taking the maximum binding path distance as a candidate detection radius;
If the number of the detected sub-scenic spots is smaller than a first value, taking the maximum binding path distance as the initial detection radius;
If the number of the detected sub-scenic spots is larger than a second value, the value of the minimum binding path distance and the empirical detection radius is larger as the initial detection radius;
wherein the first value is less than the second value.
Accordingly, the above-described embodiments have the following advantages or benefits: the initial detection radius is determined from the maximum binding path distance, the minimum binding path distance and the experience detection radius according to the number of the sub-scenic spots, so that the initial detection radius is adaptively determined according to specific information of the scenic spots, and candidate sub-scenic spots are detected rapidly according to the initial detection radius.
Further, determining an initial detection radius according to sub-sight information in a sight area where a user is located, including:
And if the sub scenic spots in the scenic spot where the user is located have no binding data, taking the experience detection radius as the initial detection radius.
Accordingly, the above-described embodiments have the following advantages or benefits: under the condition that sub-scenic spots in the scenic spot have no binding data, the sub-scenic spots in the scenic spot can still be detected. .
Further, after determining the current detection radius according to the initial detection radius, the method further comprises:
If the number of the candidate sub-scenic spots obtained by detecting with the current detection radius belongs to a desired number interval, keeping the current detection radius unchanged;
if the number of candidate sub-scenic spots obtained by detecting with the current detection radius is smaller than the lower limit value of the expected number interval, expanding the current detection radius;
And if the number of the candidate sub-scenic spots detected by the current detection radius is larger than the upper limit value of the interval of the expected number, taking the minimum binding distance or the experience detection radius as the current detection radius.
Accordingly, the above-described embodiments have the following advantages or benefits: the current detection radius is adjusted according to the number of the detected candidate sub-scenic spots, so that the appropriate current detection radius is determined, the number of the detected candidate sub-scenic spots meets the range of the expected number, and the selection and the voice explanation of the target sub-scenic spots are facilitated.
Further, if the number of candidate sub-scenic spots detected by the current detection radius is smaller than the lower limit value of the expected number interval, expanding the current detection radius, including:
if the number of the candidate sub-scenic spots obtained by detecting with the current detection radius is smaller than a third value, expanding the current detection radius with a first step length;
If the number of the candidate sub-scenic spots detected by the current detection radius is larger than the third numerical value and smaller than the lower limit value of the expected number interval, expanding the current detection radius by a second step length;
wherein the first step size is larger than the second step size.
Accordingly, the above-described embodiments have the following advantages or benefits: the current detection radius is adjusted by adaptively determining the adjustment step length according to the number of candidate sub-scenic spots, so that the number of candidate sub-scenic spots meeting the expected number interval can be detected quickly and efficiently.
Further, selecting a target sub-scenic spot from candidate sub-scenic spots obtained by detecting with the current detection radius for explanation, including:
if the number of candidate sub-scenic spots obtained by detecting with the current detection radius belongs to the optimal number interval, determining the density of sub-scenic spots in the current detection area;
and selecting a target sub-scenic spot from the candidate sub-scenic spots for explanation according to the current detection radius, the binding path distance of the candidate sub-scenic spot and the sub-scenic spot density in the current detection area.
Accordingly, the above-described embodiments have the following advantages or benefits: and selecting the target sub-scenic spot to explain according to the detected scenic spot information of the candidate sub-scenic spot, so that the triggering efficiency of scenic spot explanation is improved.
Further, selecting a target sub-scenic spot from the candidate sub-scenic spots for explanation according to the current detection radius, the binding path distance of the candidate sub-scenic spot and the sub-scenic spot density in the current detection area, including:
and determining the broadcasting score of the candidate sub-scenic spot according to the following formula:
S＝(R/L)*W+(1-W)*L；
wherein S is the broadcasting score of the candidate sub-scenic spot, R is the current detection radius, L is the binding distance of the candidate sub-scenic spot, and W is the density of sub-scenic spots in the current detection area;
and the candidate sub-scenic spots with the smallest broadcasting score are used as the target sub-scenic spots for explanation.
Accordingly, the above-described embodiments have the following advantages or benefits: the target sub-scenic spot is comprehensively selected to explain according to the ratio of the current detection radius to the binding path distance and the binding path distance, so that the target sub-scenic spot suitable for providing explanation for the user is accurately determined.
Further, selecting a target sub-scenic spot from candidate sub-scenic spots obtained by detecting with the current detection radius for explanation, including:
and if the number of the detected candidate sub-scenic spots is larger than the upper limit value of the optimal number interval, selecting a target sub-scenic spot from the candidate sub-scenic spots for explanation according to the current detection radius and the binding distance of the candidate sub-scenic spots.
Accordingly, the above-described embodiments have the following advantages or benefits: when the number of candidate sub-scenic spots is large, the target sub-scenic spots suitable for providing explanation for the user can be rapidly determined according to the current detection radius and the binding path distance, and the triggering efficiency of scenic spot explanation is improved.
Further, selecting a target sub-scenic spot from the candidate sub-scenic spots for explanation according to the current detection radius and the binding path distance of the candidate sub-scenic spot, including:
and determining the broadcasting score of the candidate sub-scenic spot according to the following formula:
S＝R/L；
Wherein S is the broadcasting score of the candidate sub-scenic spot, R is the current detection radius, and L is the binding distance of the candidate sub-scenic spot;
and the candidate sub-scenic spots with the smallest broadcasting score are used as the target sub-scenic spots for explanation.
Accordingly, the above-described embodiments have the following advantages or benefits: when the number of candidate sub-scenic spots is large, the positions of the candidate sub-scenic spots can be objectively measured according to the ratio of the detection radius to the binding path distance, so that the target sub-scenic spots suitable for providing explanation for users can be rapidly determined, and the triggering efficiency of scenic spot explanation is improved.
The embodiment of the application also discloses a scenic spot explaining device, which comprises:
the initial detection radius determining module is used for determining an initial detection radius according to sub-scenic spot information in a scenic spot where a user is located;
the current detection radius determining module is used for determining the current detection radius according to the initial detection radius;
and the target sub-scenic spot selection module is used for selecting target sub-scenic spots from candidate sub-scenic spots obtained by detection with the current detection radius to explain.
Further, the initial detection radius determining module includes:
The binding path distance determining unit is used for determining the maximum binding path distance and the minimum binding path distance of the sub-scenic spots in the scenic spot if the sub-scenic spot in the scenic spot where the user is located has binding path data;
the detection unit is used for detecting by taking the maximum binding path distance as a candidate detection radius;
The first determining unit is used for taking the maximum binding path distance as the initial detection radius if the number of the detected sub-scenic spots is smaller than a first numerical value;
The second determining unit is used for taking the larger value of the minimum binding path distance and the experience detection radius as the initial detection radius if the number of the detected sub-scenic spots is larger than a second value;
wherein the first value is less than the second value.
Further, the initial detection radius determining module includes:
And the third determining unit is used for taking the experience detection radius as the initial detection radius if the sub-scenic spots in the scenic spot where the user is located have no binding data.
Further, the apparatus further comprises:
The first current detection radius adjusting module is used for keeping the current detection radius unchanged if the number of candidate sub-scenic spots obtained by detection with the current detection radius belongs to a desired number interval;
The second current detection radius adjusting module is used for expanding the current detection radius if the number of candidate sub-scenic spots obtained by detection with the current detection radius is smaller than the lower limit value of the expected number interval;
and the third current detection radius adjusting module is used for taking the minimum binding path distance or the experience detection radius as the current detection radius if the number of candidate sub-scenic spots detected by the current detection radius is larger than the upper limit value of the expected number interval.
Further, the second current detection radius adjustment module includes:
The first radius expansion unit is used for expanding the current detection radius with a first step length if the number of candidate sub-scenic spots obtained by detecting with the current detection radius is smaller than a third numerical value;
a second radius expanding unit, configured to expand the current detection radius with a second step if the number of candidate sub-scenic spots detected with the current detection radius is greater than the third value and less than the lower limit value of the expected number interval;
wherein the first step size is larger than the second step size.
Further, the target sub-scenic spot selection module includes:
The sub-scenic spot density determining unit is used for determining the sub-scenic spot density in the current detection area if the number of candidate sub-scenic spots obtained by detection with the current detection radius belongs to the optimal number interval;
and the first selection unit is used for selecting target sub-scenic spots from the candidate sub-scenic spots to explain according to the current detection radius, the binding path distance of the candidate sub-scenic spots and the sub-scenic spot density in the current detection area.
Further, the first selecting unit is specifically configured to:
and determining the broadcasting score of the candidate sub-scenic spot according to the following formula:
S＝(R/L)*W+(1-W)*L；
wherein S is the broadcasting score of the candidate sub-scenic spot, R is the current detection radius, L is the binding distance of the candidate sub-scenic spot, and W is the density of sub-scenic spots in the current detection area;
and the candidate sub-scenic spots with the smallest broadcasting score are used as the target sub-scenic spots for explanation.
Further, the target sub-scenic spot selection module includes:
And the second selection unit is used for selecting target sub-scenic spots from the candidate sub-scenic spots according to the current detection radius and the binding distance of the candidate sub-scenic spots if the number of the detected candidate sub-scenic spots is larger than the upper limit value of the optimal number interval.
Further, the second selecting unit is specifically configured to:
and determining the broadcasting score of the candidate sub-scenic spot according to the following formula:
S＝R/L；
Wherein S is the broadcasting score of the candidate sub-scenic spot, R is the current detection radius, and L is the binding distance of the candidate sub-scenic spot;
and the candidate sub-scenic spots with the smallest broadcasting score are used as the target sub-scenic spots for explanation.
The embodiment of the application also discloses an electronic device, which comprises:
At least one processor; and
A memory communicatively coupled to the at least one processor; wherein,
The memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method according to any one of the embodiments of the present application.
Embodiments of the present application also disclose a non-transitory computer readable storage medium storing computer instructions for causing a computer to perform a method according to any of the embodiments of the present application.
Other effects of the above alternative will be described below in connection with specific embodiments.
Drawings
The drawings are included to provide a better understanding of the present application and are not to be construed as limiting the application. Wherein:
FIG. 1 is a flow chart of a scenic spot explaining method according to an embodiment of the application;
FIG. 2 is a flow chart of another scenic spot explaining method according to an embodiment of the application;
FIG. 3 is a flow chart of yet another scenic spot explaining method according to an embodiment of the application;
fig. 4 is a schematic structural diagram of a scenic spot explaining apparatus according to an embodiment of the present application;
fig. 5 is a block diagram of an electronic device for implementing the scenic spot explaining method of an embodiment of the application.
Detailed Description
Exemplary embodiments of the present application will now be described with reference to the accompanying drawings, in which various details of the embodiments of the present application are included to facilitate understanding, and are to be considered merely exemplary. Accordingly, those of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the application. Also, descriptions of well-known functions and constructions are omitted in the following description for clarity and conciseness.
Fig. 1 is a flow chart of a scenic spot explaining method according to an embodiment of the application. The embodiment can be suitable for the condition that the tour guide product carries out automatic voice explanation on scenic spots in scenic spots. Typically, the present embodiment may be adapted to dynamically determine an initial detection radius for a tour guide product and adaptively adjust a current detection radius to accurately and efficiently detect candidate sub-sights and select a target sub-sights therefrom for speech interpretation. The scenic spot explaining method disclosed in the embodiment may be executed by a scenic spot explaining device, and in particular, may be executed by a scenic spot explaining apparatus, where the apparatus may be implemented by software and/or hardware, and configured in the scenic spot explaining device. Referring to fig. 1, the scenic spot explanation method provided in this embodiment includes:
s110, determining an initial detection radius according to the sub-scenic spot information in the scenic spot where the user is located.
The scenic spot may be a region including scenic spots defined by a scenic spot manager, a map, or a scenic spot interpretation apparatus. The sub-scenic spot may be a scenic spot included in a scenic spot, the sub-scenic spot information may include binding data of the sub-scenic spot, the binding data may be a binding distance, and may be determined by: and determining the road closest to the sub-scenic spot in the roads of the scenic spot, and taking the distance between the sub-scenic spot and the road as the binding distance. The initial detection radius may be a detection radius according to which the attraction interpretation device detects candidate sub-attractions in the attraction for the first time after the attraction interpretation device is turned on.
For example, when detecting sub-scenic spots in a scenic spot, the current stage is generally to detect the sub-scenic spot according to an empirical detection radius as an initial detection radius, and since the empirical detection radius is determined manually, a lot of manpower is required, and the cost is high. And, the empirical detection radius is generally a fixed value, and for sub-attractions with an excessively large area or sub-attractions far from the road, the empirical detection radius may be difficult to detect according to the empirical detection radius, and the attraction explanation cannot be triggered. Therefore, in the embodiment of the application, the sub-scenic spot information in the scenic spot is introduced when the initial detection radius is determined, and the initial detection radius is adaptively and dynamically determined according to the sub-scenic spot information, so that the initial detection radius can be automatically determined and dynamically adjusted, the candidate sub-scenic spots can be quickly and efficiently detected according to the initial detection radius, and the problem that the candidate sub-scenic spots with overlarge areas or the candidate sub-scenic spots far away from the road can not be detected due to the fixed initial detection radius is avoided.
S120, determining the current detection radius according to the initial detection radius.
The current detection radius may be a detection radius according to which the scenic spot interpretation apparatus detects again after detecting with the initial detection radius. The current detection radius is determined according to the initial detection radius, for example, the scene point explanation device can detect with the initial detection radius to obtain candidate sub-scene points, the initial detection radius is adjusted according to the number of the candidate sub-scene points, and the current detection radius is used as the current detection radius to continue detection. If the number of candidate sub-attractions is large, the initial detection radius can be adaptively reduced, and if the number of candidate sub-attractions is small, the initial detection radius can be adaptively increased. The current detection radius is determined through adaptive adjustment according to the initial detection radius, so that the current detection radius is more accurate, and the candidate sub-scenic spots with moderate quantity are obtained through detection according to the proper current detection radius.
S130, selecting a target sub-scenic spot from candidate sub-scenic spots obtained by detection with the current detection radius for explanation.
The target sub-scenic spot is a sub-scenic spot which needs to be explained. For the detected candidate sub-attractions, the number is possibly larger, or the distance from the user is larger, and all the candidate sub-attractions do not need to be explained, so that the target sub-attractions are selected from the candidate sub-attractions to be explained, and the user can know the target sub-attractions in a targeted manner. For example, the selection mode of the target sub-scenic spot can be adaptively determined according to the number or the density of the candidate sub-scenic spots obtained by detection, for example, the target sub-scenic spot is selected from the candidate sub-scenic spots according to the current detection radius, the binding distance of the candidate sub-scenic spots and other factors, so that the position of the selected scenic spot is matched with the position of the user, and the target sub-scenic spot suitable for explanation is selected.
According to the technical scheme provided by the embodiment of the application, the initial detection radius is dynamically and adaptively determined and adjusted, and the current detection radius is determined according to the initial detection radius, so that the problem that the scenic spot is difficult to accurately and rapidly detect due to the fact that the initial detection radius is fixed when the experience detection radius is used as the initial detection radius is solved, the effect of accurately and efficiently detecting the candidate sub-scenic spot, selecting the target sub-scenic spot from the candidate sub-scenic spot for broadcasting is achieved, and the scenic spot triggering efficiency is improved.
Fig. 2 is a flow chart of another scenic spot explaining method according to an embodiment of the application. This embodiment is an alternative to the embodiments described above. Details not described in detail in the embodiments of the application are found in the above embodiments. Referring to fig. 2, the scenic spot explanation method provided in this embodiment includes:
s210, if the sub-scenic spots in the scenic spot where the user is located have binding data, determining the maximum binding distance and the minimum binding distance of the sub-scenic spots in the scenic spot.
For example, for a sub-attraction in the attraction, a road closest to the sub-attraction is determined, and the distance between the sub-attraction and the road is taken as a binding distance. And comparing the binding distances of all the scenic spots, taking the binding distance with the largest value as the largest binding distance, and taking the binding distance with the smallest value as the smallest binding distance.
In the embodiment of the application, in order to dynamically determine the initial detection radius, the maximum binding path distance and the minimum binding path distance of the sub-scenic spots are determined, and the initial detection radius is determined according to the maximum binding path distance and the minimum binding path distance, so that the initial detection radius is determined according to the actual characteristic adaptability of the sub-scenic spots in the scenic spot, and the candidate sub-scenic spots can be detected quickly.
And S220, detecting by taking the maximum binding path distance as a candidate detection radius.
Illustratively, the larger the detection radius, the larger the range of detection. Therefore, in order to quickly and efficiently detect the sub-scenic spots, the sub-scenic spots are detected by the maximum binding path distance, so that the sub-scenic spots are quickly detected in a large detection range.
And S230, if the number of the detected sub-scenic spots is smaller than a first value, taking the maximum binding path distance as the initial detection radius.
The first value may be set according to actual situations. If the number of the detected sub-scenic spots is smaller than the first value, the number of the detected sub-scenic spots is not excessive, so that the maximum binding path distance can be used as an initial detection radius to detect the candidate sub-scenic spots.
For example, when the first value is set to a smaller value, for example, 3, the number of detected sub-scenic spots is smaller than the first value, which indicates that the number of detected sub-scenic spots is smaller, so that the maximum binding distance can be used as an initial detection distance, and the current detection distance can be determined based on the initial detection distance conveniently to continue detection, so that a moderate number of candidate sub-scenic spots can be detected.
When the first value is set to a moderate value, for example, 10, if the number of detected sub-scenic spots is smaller than the first value, it is indicated that the number of detected sub-scenic spots is moderate, and the detection is performed with the maximum binding distance, so that the maximum binding distance can be used as an initial detection radius to detect the candidate sub-scenic spots.
And S240, if the number of the detected sub-scenic spots is larger than a second value, taking the larger value of the minimum binding path distance and the empirical detection radius as the initial detection radius. Wherein the first value is less than the second value.
The second value can be set according to the actual situation, if the number of the sub-scenic spots detected by the maximum binding path distance is larger than the second value, the number of the sub-scenic spots detected by the detection is larger, and the maximum binding path distance is larger, at this time, the largest binding path distance is not detected by the candidate sub-scenic spots by the initial detection radius, but the value of the minimum binding path distance and the empirical detection radius is larger as the initial detection radius, so that the initial detection radius for detecting the candidate sub-scenic spots is properly reduced, and the problem that the number of the detected candidate sub-scenic spots is too small when the initial detection radius is set to be the smaller value of the minimum binding path distance and the empirical detection radius is avoided, and the candidate sub-scenic spots with moderate number are rapidly detected.
It should be noted that, the execution sequence of S230 and S240 is not limited specifically, and the number of detected sub-scenery spots may be compared with the first value and the second value before S230 or S240 is executed, and then the executing step may be determined according to the comparison result.
S250, determining the current detection radius according to the initial detection radius.
And S260, selecting a target sub-scenic spot from candidate sub-scenic spots obtained by detection with the current detection radius for explanation.
In the embodiment of the application, if the sub-scenic spot in the scenic spot where the user is located has no binding data, the empirical detection radius is used as the initial detection radius, and expanded detection is performed, wherein the empirical detection radius can be 30-50 meters, and the expanded detection radius is smaller than the upper limit value of the set detection radius, for example, 2000 meters.
According to the embodiment of the application, the maximum binding path distance is used as the candidate binding path distance for detection, and the initial detection radius is determined adaptively according to the number of the detected sub-scenic spots, so that the automatic determination and the dynamic adjustment of the initial detection radius are realized. And if the number of the detected sub-scenic spots is smaller than a first value, taking the maximum binding path distance as the initial detection radius, and if the number of the detected sub-scenic spots is larger than a second value, taking the larger value of the minimum binding path distance and the experience detection radius as the initial detection radius, thereby determining a proper initial detection radius to detect the candidate sub-scenic spots with moderate number and improving the detection efficiency of the candidate sub-scenic spots.
Fig. 3 is a flow chart of another scenic spot explaining method according to an embodiment of the application. This embodiment is an alternative to the embodiments described above. Details not described in detail in the embodiments of the application are found in the above embodiments. Referring to fig. 3, the scenic spot explanation method provided in this embodiment includes:
s310, determining an initial detection radius according to the sub-scenic spot information in the scenic spot where the user is located.
S320, determining the current detection radius according to the initial detection radius.
And S330, if the number of the candidate sub-scenic spots detected by the current detection radius belongs to a desired number interval, keeping the current detection radius unchanged.
Wherein the expected number of intervals may be determined according to the initial or current detection radius, for example, may be: when the initial detection radius and the current detection radius are smaller, the set expected number interval is smaller, or the value in the expected number interval is smaller, and when the initial detection radius and the current detection radius are larger, the set expected number interval is larger, or the value in the expected number interval is larger. The expected number period is used to evaluate whether the number of candidate sub-attractions detected at the current detection radius is excessive, too low or moderate.
For example, if the number of candidate sub-scenic spots detected by the current detection radius belongs to the expected number interval, the number of candidate sub-scenic spots detected by the current detection radius is moderate, so that the current detection radius can be kept unchanged, and the detection can be continued. Since the user may be moving, the number of candidate sub-scenic spots detected according to the current detection radius may change, and at this time, the current detection radius is adjusted again according to the number of candidate sub-scenic spots detected.
And S340, if the number of the candidate sub-scenic spots detected by the current detection radius is smaller than the lower limit value of the expected number interval, expanding the current detection radius.
If the number of candidate sub-scenic spots detected by the current detection radius is smaller than the lower limit value of the expected number interval, the number of candidate sub-scenic spots is smaller, and the detection range needs to be enlarged to detect more candidate sub-scenic spots, so that the current detection radius can be enlarged.
In the embodiment of the present application, if the number of candidate sub-scenic spots detected by the current detection radius is smaller than the lower limit value of the expected number interval, expanding the current detection radius includes:
If the number of the candidate sub-scenic spots obtained by detecting with the current detection radius is smaller than a third value, expanding the current detection radius with a first step length; if the number of the candidate sub-scenic spots detected by the current detection radius is larger than the third numerical value and smaller than the lower limit value of the expected number interval, expanding the current detection radius by a second step length; wherein the first step size is larger than the second step size.
For example, the third value may be set according to actual conditions, and the third value may be a value smaller than the lower limit value of the desired number interval. If the number of candidate sub-attractions is smaller than the third value, it is indicated that the number of detected candidate sub-attractions is too small, and therefore the current detection radius is enlarged by a first step size to rapidly detect more candidate sub-attractions, and if the number of candidate sub-attractions is larger than the third value and smaller than the lower limit value of the expected number interval, it is indicated that the number of candidate sub-attractions is small, but not too small, and therefore the current detection radius can be enlarged by a second step size smaller than the first step size, and the amplitude of the enlargement can be reduced to properly enlarge the detection range, and accurately detect the candidate sub-attractions with proper number.
And S350, if the number of candidate sub-scenic spots detected by the current detection radius is larger than the upper limit value of the interval of the expected number, taking the minimum binding path distance or the experience detection radius as the current detection radius.
For example, if the number of candidate sub-attractions detected with the current detection radius is greater than the upper limit value of the expected number interval, it is indicated that the number of candidate sub-attractions is greater, and the current detection range is greater, so that the current detection range should be appropriately reduced, and the minimum binding distance or the empirical detection radius is used as the current detection distance. When the initial detection radius is the maximum binding path distance, the minimum binding path distance or the empirical detection radius can be used as the current detection radius, so that the detection range is reduced, and the candidate sub-scenic spots with moderate quantity can be detected rapidly. When the initial detection radius is the empirical detection radius, if the number of candidate sub-scenic spots detected by the current detection radius is large, the current detection radius is adjusted to the empirical detection radius to continue detection so as to rapidly detect the candidate sub-scenic spots with moderate numbers.
In the embodiment of the application, the detection of the candidate sub-scenic spots can be carried out in a unified and expanded detection mode, so that the method can be reused, and the development workload is reduced.
In the embodiment of the present application, the execution sequence of S340, S350, and S360 is not specifically limited, and the step of comparing the number of candidate sub-attractions with the expected number of intervals and then determining the execution may be performed.
S360, selecting a target sub-scenic spot from candidate sub-scenic spots obtained by detection with the current detection radius for explanation.
In the embodiment of the application, selecting a target sub-scenic spot from candidate sub-scenic spots obtained by detecting with the current detection radius for explanation comprises the following steps: if the number of candidate sub-scenic spots obtained by detecting with the current detection radius belongs to the optimal number interval, determining the density of sub-scenic spots in the current detection area; and selecting a target sub-scenic spot from the candidate sub-scenic spots for explanation according to the current detection radius, the binding path distance of the candidate sub-scenic spot and the sub-scenic spot density in the current detection area.
Selecting a target sub-scenic spot from the candidate sub-scenic spots for explanation according to the current detection radius, the binding path distance of the candidate sub-scenic spot and the sub-scenic spot density in the current detection area, wherein the method comprises the following steps: and determining the broadcasting score of the candidate sub-scenic spot according to the following formula: s= (R/L) w+ (1-W) L; wherein S is the broadcasting score of the candidate sub-scenic spot, R is the current detection radius, L is the binding distance of the candidate sub-scenic spot, and W is the density of sub-scenic spots in the current detection area; and the candidate sub-scenic spots with the smallest broadcasting score are used as the target sub-scenic spots for explanation.
For example, the optimal number of intervals may be determined according to the expected number of intervals, and may be intervals included in the expected number of intervals, for evaluating whether the number of candidate sub-attractions is moderate. If the number of the candidate sub-scenic spots belongs to the optimal number interval, the number of the candidate sub-scenic spots is moderate, and the target sub-scenic spots can be selected from the candidate sub-scenic spots according to the density of the sub-scenic spots, the current detection radius and the binding distance of the candidate sub-scenic spots, so that the target sub-scenic spots suitable for explanation can be comprehensively selected for explanation. For example, determining a broadcasting score according to a formula s= (R/L) ×w+ (1-W) ×l, and explaining a candidate sub-scenery spot with the smallest broadcasting score as a target sub-scenery spot, where W may be a weight between 0 and 1 obtained according to sub-scenery spot density mapping in the current detection area, and the greater the sub-scenery spot density, the greater the value of W. And selecting target sub-scenic spots according to the formula, and explaining candidate sub-scenic spots which are closer to the user if the density of the sub-scenic spots in the current detection area is larger. In the embodiment of the application, the ratio of the current detection radius to the binding distance and the influence of the two parameters of the binding distance on the selection of the target sub-scenic spots are considered, and the proper target sub-scenic spots are comprehensively and comprehensively selected for explanation by combining the density of the sub-scenic spots, so that the problems that the distance between the selected target sub-scenic spots and a user and the distance between the selected target sub-scenic spots and the road are far and are unsuitable for explanation are avoided.
In the embodiment of the application, selecting a target sub-scenic spot from candidate sub-scenic spots obtained by detecting with the current detection radius for explanation comprises the following steps: and if the number of the candidate sub-scenic spots obtained by detecting with the current detection radius is larger than the upper limit value of the optimal number interval, selecting a target sub-scenic spot from the candidate sub-scenic spots according to the current detection radius and the binding distance of the candidate sub-scenic spots for explanation.
Selecting a target sub-scenic spot from the candidate sub-scenic spots for explanation according to the current detection radius and the binding path distance of the candidate sub-scenic spot, wherein the method comprises the following steps: and determining the broadcasting score of the candidate sub-scenic spot according to the following formula: s=r/L; wherein S is the broadcasting score of the candidate sub-scenic spot, R is the current detection radius, and L is the binding distance of the candidate sub-scenic spot; and the candidate sub-scenic spots with the smallest broadcasting score are used as the target sub-scenic spots for explanation.
If the number of the candidate sub-scenic spots is greater than the upper limit value of the optimal number interval, the number of the candidate sub-scenic spots is larger, the scenic spots in the scenic spots are denser, and the binding distance is smaller.
If the number of the candidate sub-scenic spots detected by the current detection radius is smaller than the lower limit value of the number interval, the number of the detected candidate sub-scenic spots is smaller, so that the candidate sub-scenic spots can be directly used as target sub-scenic spots for explanation, and the explanation sequence can be arranged in a sequence from small to large according to the ratio of the current detection radius to the binding path distance.
According to the embodiment of the application, the current detection radius is adaptively adjusted according to the number of the candidate sub-scenic spots, so that the candidate sub-scenic spots with moderate numbers are detected rapidly and accurately, the proper target sub-scenic spots are comprehensively and comprehensively selected for explanation by combining the sub-scenic spot density according to the selection mode of the target sub-scenic spots determined according to the number of the candidate sub-scenic spots, and the triggering efficiency of sub-scenic spot explanation is improved.
Fig. 4 is a schematic structural diagram of a scenic spot explaining apparatus according to an embodiment of the present application. Referring to fig. 4, an embodiment of the present application discloses a scenic spot explaining apparatus 400, where the apparatus 400 includes: an initial detection radius determination module 401, a current detection radius determination module 402, and a target sub-attraction selection module 403.
The initial detection radius determining module 401 is configured to determine an initial detection radius according to sub-scenic spot information in a scenic spot where a user is located;
a current detection radius determining module 402, configured to determine a current detection radius according to the initial detection radius;
And the target sub-scenic spot selection module 403 is configured to select a target sub-scenic spot for explanation from candidate sub-scenic spots obtained by detecting with the current detection radius.
Further, the initial detection radius determining module 401 includes:
The binding path distance determining unit is used for determining the maximum binding path distance and the minimum binding path distance of the sub-scenic spots in the scenic spot if the sub-scenic spot in the scenic spot where the user is located has binding path data;
the detection unit is used for detecting by taking the maximum binding path distance as a candidate detection radius;
The first determining unit is used for taking the maximum binding path distance as the initial detection radius if the number of the detected sub-scenic spots is smaller than a first numerical value;
The second determining unit is used for taking the larger value of the minimum binding path distance and the experience detection radius as the initial detection radius if the number of the detected sub-scenic spots is larger than a second value;
wherein the first value is less than the second value.
Further, the initial detection radius determining module 401 includes:
And the third determining unit is used for taking the experience detection radius as the initial detection radius if the sub-scenic spots in the scenic spot where the user is located have no binding data.
Further, the apparatus further comprises:
The first current detection radius adjusting module is used for keeping the current detection radius unchanged if the number of candidate sub-scenic spots obtained by detection with the current detection radius belongs to a desired number interval;
The second current detection radius adjusting module is used for expanding the current detection radius if the number of candidate sub-scenic spots obtained by detection with the current detection radius is smaller than the lower limit value of the expected number interval;
and the third current detection radius adjusting module is used for taking the minimum binding path distance or the experience detection radius as the current detection radius if the number of candidate sub-scenic spots detected by the current detection radius is larger than the upper limit value of the expected number interval.
Further, the second current detection radius adjustment module includes:
The first radius expansion unit is used for expanding the current detection radius with a first step length if the number of candidate sub-scenic spots obtained by detecting with the current detection radius is smaller than a third numerical value;
a second radius expanding unit, configured to expand the current detection radius with a second step if the number of candidate sub-scenic spots detected with the current detection radius is greater than the third value and less than the lower limit value of the expected number interval;
wherein the first step size is larger than the second step size.
Further, the target sub-scenic spot selection module 403 includes:
The sub-scenic spot density determining unit is used for determining the sub-scenic spot density in the current detection area if the number of candidate sub-scenic spots obtained by detection with the current detection radius belongs to the optimal number interval;
and the first selection unit is used for selecting target sub-scenic spots from the candidate sub-scenic spots to explain according to the current detection radius, the binding path distance of the candidate sub-scenic spots and the sub-scenic spot density in the current detection area.
Further, the first selecting unit is specifically configured to:
and determining the broadcasting score of the candidate sub-scenic spot according to the following formula:
S＝(R/L)*W+(1-W)*L；
wherein S is the broadcasting score of the candidate sub-scenic spot, R is the current detection radius, L is the binding distance of the candidate sub-scenic spot, and W is the density of sub-scenic spots in the current detection area;
and the candidate sub-scenic spots with the smallest broadcasting score are used as the target sub-scenic spots for explanation.
Further, the target sub-scenic spot selection module 403 includes:
And the second selection unit is used for selecting target sub-scenic spots from the candidate sub-scenic spots according to the current detection radius and the binding distance of the candidate sub-scenic spots if the number of the detected candidate sub-scenic spots is larger than the upper limit value of the optimal number interval.
Further, the second selecting unit is specifically configured to:
and determining the broadcasting score of the candidate sub-scenic spot according to the following formula:
S＝R/L；
Wherein S is the broadcasting score of the candidate sub-scenic spot, R is the current detection radius, and L is the binding distance of the candidate sub-scenic spot;
and the candidate sub-scenic spots with the smallest broadcasting score are used as the target sub-scenic spots for explanation.
The scenic spot explaining device provided by the embodiment of the application can execute the scenic spot explaining method provided by any embodiment of the application, and has the corresponding functional modules and beneficial effects of the executing method.
According to an embodiment of the present application, the present application also provides an electronic device and a readable storage medium.
As shown in fig. 5, fig. 5 is a block diagram of an electronic device for implementing the scenic spot explaining method according to an embodiment of the application. Electronic devices are intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, electronic devices, blade electronics, mainframes, and other appropriate computers. The electronic device may also represent various forms of mobile devices, such as personal digital processing, cellular telephones, smartphones, wearable electronic devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be exemplary only, and are not meant to limit implementations of the applications described and/or claimed herein.
As shown in fig. 5, the electronic device includes: one or more processors 501, memory 502, and interfaces for connecting components, including high-speed interfaces and low-speed interfaces. The various components are interconnected using different buses and may be mounted on a common motherboard or in other manners as desired. The processor may process instructions executing within the electronic device, including instructions stored in or on memory to display graphical information of the GUI on an external input/output device, such as a display electronic device coupled to the interface. In other embodiments, multiple processors and/or multiple buses may be used, if desired, along with multiple memories and multiple memories. Also, multiple electronic devices may be connected, each providing a portion of the necessary operations (e.g., as an array of electronic devices, a set of blade electronic devices, or a multiprocessor system). One processor 501 is illustrated in fig. 5.
Memory 502 is a non-transitory computer readable storage medium provided by the present application. The memory stores instructions executable by the at least one processor to cause the at least one processor to perform the scenic spot interpretation method provided by the application. The non-transitory computer readable storage medium of the present application stores computer instructions for causing a computer to execute the scenic spot interpretation method provided by the present application.
The memory 502, which is a non-transitory computer readable storage medium, may be used to store non-transitory software programs, non-transitory computer-executable programs, and modules, such as program instructions/modules (e.g., the initial detection radius determination module 401, the current detection radius determination module 402, and the target sub-attraction selection module 403 shown in fig. 5) corresponding to the method of attraction teaching in the embodiment of the present application. The processor 501 executes various functional applications and data processing of the electronic device by running non-transitory software programs, instructions, and modules stored in the memory 502, i.e., implements the scenic spot interpretation method in the method embodiments described above.
Memory 502 may include a storage program area that may store an operating system, at least one application program required for functionality, and a storage data area; the storage data area may store data created from the use of the electronic device for scenic spot interpretation, and the like. In addition, memory 502 may include high-speed random access memory, and may also include non-transitory memory, such as at least one magnetic disk storage device, flash memory device, or other non-transitory solid-state storage device. In some embodiments, the memory 502 may optionally include memory remotely located with respect to the processor 501, which may be connected to the scenic spot teaching electronic device via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The electronic device of the scenic spot explaining method may further include: an input device 503 and an output device 504. The processor 501, memory 502, input devices 503 and output devices 504 may be connected by a bus or otherwise, for example in fig. 5.
The input device 503 may receive input numeric or character information and generate key signal inputs related to user settings and function control of the electronic device for the attraction interpretation, such as a touch screen, a keypad, a mouse, a track pad, a touch pad, a pointer stick, one or more mouse buttons, a track ball, a joystick, and the like. The output devices 504 may include display electronics, auxiliary lighting devices (e.g., LEDs), and haptic feedback devices (e.g., vibration motors), among others. The display electronics may include, but are not limited to, liquid Crystal Displays (LCDs), light Emitting Diode (LED) displays, and plasma displays. In some implementations, the display electronic device may be a touch screen.
Various implementations of the systems and techniques described here can be realized in digital electronic circuitry, integrated circuitry, application specific ASIC (application specific integrated circuit), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs, the one or more computer programs may be executed and/or interpreted on a programmable system including at least one programmable processor, which may be a special purpose or general-purpose programmable processor, that may receive data and instructions from, and transmit data and instructions to, a storage system, at least one input device, and at least one output device.
These computing programs (also referred to as programs, software applications, or code) include machine instructions for a programmable processor, and may be implemented in a high-level procedural and/or object-oriented programming language, and/or in assembly/machine language. As used herein, the terms "machine-readable medium" and "computer-readable medium" refer to any computer program product, electronic device, and/or apparatus (e.g., magnetic discs, optical disks, memory, programmable Logic Devices (PLDs)) used to provide machine instructions and/or data to a programmable processor, including a machine-readable medium that receives machine instructions as a machine-readable signal. The term "machine-readable signal" refers to any signal used to provide machine instructions and/or data to a programmable processor.
To provide for interaction with a user, the systems and techniques described here can be implemented on a computer having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a keyboard and pointing device (e.g., a mouse or trackball) by which a user can provide input to the computer. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form, including acoustic input, speech input, or tactile input.
The systems and techniques described here can be implemented in a computing system that includes a background component (e.g., as a data electronic device), or that includes a middleware component (e.g., an application electronic device), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such background, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), wide Area Networks (WANs), and the internet.
The computer system may include a client and an electronic device. The client and the electronic device are generally remote from each other and typically interact through a communication network. The relationship of client and electronic devices arises by virtue of computer programs running on the respective computers and having a client-electronic device relationship to each other.
It should be appreciated that various forms of the flows shown above may be used to reorder, add, or delete steps. For example, the steps described in the present application may be performed in parallel, sequentially, or in a different order, provided that the desired results of the disclosed embodiments are achieved, and are not limited herein.
The above embodiments do not limit the scope of the present application. It will be apparent to those skilled in the art that various modifications, combinations, sub-combinations and alternatives are possible, depending on design requirements and other factors. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present application should be included in the scope of the present application.
Claims (11)
1. A method of scenic spot interpretation, comprising:
Determining an initial detection radius according to sub-scenic spot information in a scenic spot where a user is located;
determining a current detection radius according to the initial detection radius;
Selecting a target sub-scenic spot from candidate sub-scenic spots obtained by detection with the current detection radius for explanation;
wherein, confirm the initial detection radius according to the sub-scenic spot information in the scenic spot that the user locates, including:
If the sub-scenic spots in the scenic spot where the user is located have binding data, determining the maximum binding distance and the minimum binding distance of the sub-scenic spots in the scenic spot;
Detecting by taking the maximum binding path distance as a candidate detection radius;
If the number of the detected sub-scenic spots is smaller than a first value, taking the maximum binding path distance as the initial detection radius;
If the number of the detected sub-scenic spots is larger than a second value, the smaller value of the minimum binding path distance and the empirical detection radius is used as the initial detection radius;
Wherein the first value is less than the second value;
wherein, the binding distance is determined by:
And determining the road closest to the sub-scenic spot in the roads of the scenic spot, and taking the distance between the sub-scenic spot and the road as the binding distance.
2. The method of claim 1, wherein determining the initial detection radius based on sub-sight information in the sight in which the user is located, further comprises:
And if the sub scenic spots in the scenic spot where the user is located have no binding data, taking the experience detection radius as the initial detection radius.
3. The method of claim 1, further comprising, after determining a current probing radius from the initial probing radius:
If the number of the candidate sub-scenic spots obtained by detecting with the current detection radius belongs to a desired number interval, keeping the current detection radius unchanged;
if the number of candidate sub-scenic spots obtained by detecting with the current detection radius is smaller than the lower limit value of the expected number interval, expanding the current detection radius;
And if the number of the candidate sub-scenic spots detected by the current detection radius is larger than the upper limit value of the interval of the expected number, taking the minimum binding distance or the experience detection radius as the current detection radius.
4. The method of claim 3, wherein expanding the current detection radius if the number of candidate sub-attractions detected at the current detection radius is less than a lower limit of the desired number interval comprises:
if the number of the candidate sub-scenic spots obtained by detecting with the current detection radius is smaller than a third value, expanding the current detection radius with a first step length;
If the number of the candidate sub-scenic spots detected by the current detection radius is larger than the third numerical value and smaller than the lower limit value of the expected number interval, expanding the current detection radius by a second step length;
wherein the first step size is larger than the second step size.
5. The method of claim 1, wherein selecting a target sub-attraction for interpretation from candidate sub-attractions detected at the current detection radius comprises:
if the number of candidate sub-scenic spots obtained by detecting with the current detection radius belongs to the optimal number interval, determining the density of sub-scenic spots in the current detection area;
and selecting a target sub-scenic spot from the candidate sub-scenic spots for explanation according to the current detection radius, the binding path distance of the candidate sub-scenic spot and the sub-scenic spot density in the current detection area.
6. The method of claim 5, wherein selecting a target sub-attraction from the candidate sub-attractions for interpretation based on the current detection radius, a binding distance of the candidate sub-attraction, and a sub-attraction density within the current detection area, comprises:
and determining the broadcasting score of the candidate sub-scenic spot according to the following formula:
S=(R/L)*W+(1- W)* L；
wherein S is the broadcasting score of the candidate sub-scenic spot, R is the current detection radius, L is the binding distance of the candidate sub-scenic spot, and W is the density of sub-scenic spots in the current detection area;
and the candidate sub-scenic spots with the smallest broadcasting score are used as the target sub-scenic spots for explanation.
7. The method of claim 1, wherein selecting a target sub-attraction for interpretation from candidate sub-attractions detected at the current detection radius comprises:
And if the number of the candidate sub-scenic spots obtained by detecting with the current detection radius is larger than the upper limit value of the optimal number interval, selecting a target sub-scenic spot from the candidate sub-scenic spots according to the current detection radius and the binding distance of the candidate sub-scenic spots for explanation.
8. The method of claim 7, wherein selecting a target sub-attraction from candidate sub-attractions for interpretation based on the current detection radius and a binding distance of the candidate sub-attraction, comprises:
and determining the broadcasting score of the candidate sub-scenic spot according to the following formula:
S=R/L；
Wherein S is the broadcasting score of the candidate sub-scenic spot, R is the current detection radius, and L is the binding distance of the candidate sub-scenic spot;
and the candidate sub-scenic spots with the smallest broadcasting score are used as the target sub-scenic spots for explanation.
9. A scenic spot explaining apparatus, the apparatus comprising:
the initial detection radius determining module is used for determining an initial detection radius according to sub-scenic spot information in a scenic spot where a user is located;
the current detection radius determining module is used for determining the current detection radius according to the initial detection radius;
the target sub-scenic spot selection module is used for selecting target sub-scenic spots from candidate sub-scenic spots obtained by detection with the current detection radius to explain;
Wherein, the initial detection radius determining module includes:
The binding path distance determining unit is used for determining the maximum binding path distance and the minimum binding path distance of the sub-scenic spots in the scenic spot if the sub-scenic spot in the scenic spot where the user is located has binding path data;
the detection unit is used for detecting by taking the maximum binding path distance as a candidate detection radius;
The first determining unit is used for taking the maximum binding path distance as the initial detection radius if the number of the detected sub-scenic spots is smaller than a first numerical value;
The second determining unit is used for taking the larger value of the minimum binding path distance and the experience detection radius as the initial detection radius if the number of the detected sub-scenic spots is larger than a second value;
Wherein the first value is less than the second value;
wherein, the binding distance is determined by:
And determining the road closest to the sub-scenic spot in the roads of the scenic spot, and taking the distance between the sub-scenic spot and the road as the binding distance.
10. A scenic spot explanation apparatus, comprising:
At least one processor; and
A memory communicatively coupled to the at least one processor; wherein,
The memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method of any one of claims 1-8.
11. A non-transitory computer readable storage medium storing computer instructions for causing the computer to perform the method of any one of claims 1-8.
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