CN114330796B - Scenic spot queuing time prediction method and device and computer equipment - Google Patents
Scenic spot queuing time prediction method and device and computer equipment Download PDFInfo
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Abstract
The invention relates to the technical field of travel service, and discloses a scenic spot queuing time prediction method, a scenic spot queuing time prediction device and computer equipment, wherein the scenic spot queuing time prediction method comprises the following steps: acquiring a plurality of queuing information of scenic spots; selecting target queuing information according to a user instruction; acquiring a plurality of circulation pictures shot by a circulation camera in a set time period, and calculating the circulation time of a single person; acquiring a first queuing picture shot by a queuing camera at the current moment, and identifying a first number of people at the queuing position at the current moment; calculating the queuing time according to the first number of people and the single person circulation time; and updating the queuing time in real time according to the change of the moment, and displaying the queuing time and the first queuing photo to the user. According to the scenic spot queuing time prediction method, the scenic spot queuing time prediction device and the computer equipment, the queuing time at the queuing position is obtained through recognition and calculation according to the pictures shot by the circulation camera and the queuing camera and displayed to the user, so that the user can obtain the queuing time without going to the queuing position, and the user can conveniently arrange a route according to the queuing time.
Description
Technical Field
The invention relates to the technical field of travel service, in particular to a scenic spot queuing time prediction method, a scenic spot queuing time prediction device and computer equipment.
Background
With the improvement of living standard of people, the travel outside on holidays becomes a part of the life of people after intense work, and many people can choose to play a plurality of scenic spots within one day due to time pressure during the travel outside. However, as the number of tourists increases, the number of visitors in scenic spots is also increased, and especially in some famous scenic spots, long-time queuing can occur in busy seasons; meanwhile, some scenic spots also have a plurality of queuing conditions, such as amusement parks; there are also some scenic spots with multiple queuing entries; the tourist cannot know the queuing condition of the scenic spot before going to the scenic spot or the specific queuing position of the scenic spot. The users need to spend a great amount of time to observe all over or queue up in one place, and can not be selected or rejected in a targeted manner, so that the travel journey of the users is delayed, and the trip experience of the users is reduced.
Disclosure of Invention
The invention provides a scenic spot queuing time length prediction method, a scenic spot queuing time length prediction device and computer equipment.
The invention provides a scenic spot queuing time prediction method, which comprises the following steps:
acquiring a plurality of queuing information of scenic spots; the queuing information comprises a circulation camera and a queuing camera, wherein the circulation camera is a fixed camera at a queuing circulation position, and the queuing camera is a fixed camera at a queuing position;
selecting one of the plurality of queuing information as target queuing information according to a user instruction;
acquiring a plurality of circulation pictures shot by a circulation camera corresponding to target queuing information in a set time period, and calculating single circulation time length according to the circulation pictures;
acquiring a first queuing picture shot by a queuing camera corresponding to target queuing information at the current moment, and identifying a first number of people at the queuing position at the current moment according to the first queuing picture;
calculating the queuing time of the queuing position corresponding to the target queuing information at the current moment according to the first number of people at the queuing position at the current moment and the single circulation time;
and updating the queuing time of the queuing position corresponding to the target queuing information in real time according to the change of the moment, and displaying the queuing time and the first queuing photo to the user.
Further, the step of obtaining a plurality of circulation pictures shot by a circulation camera corresponding to the target queuing information in the set time period and calculating the single circulation time length according to the plurality of circulation pictures comprises:
acquiring an initial photo shot by a circulation camera corresponding to the target queuing information, and presetting a circulation position on the initial photo;
sequentially selecting one of the circulating photos in a set time period as a photo to be detected according to the time sequence;
when a first target is identified on the circulation position of the photo to be detected, taking the photo to be detected as an initial photo;
when a second target is identified on the circulation position of the photo to be detected, taking the photo to be detected as an ending photo;
and calculating the single circulation time according to the time information of the initial photo and the time information of the ending photo.
Further, the step of calculating the single circulation time length according to the time information of the starting photo and the time information of the ending photo comprises:
when the queuing circulation position is single-person passage, the calculation formula of the single-person circulation time length is as follows: the single circulation duration = time information of the ending photo-time information of the starting photo;
when the queuing circulation position is the passage of a vehicle, acquiring the maximum number of passengers of the vehicle;
calculating the single circulation time according to the time information of the initial photo, the time information of the ending photo and the maximum number of persons carrying the initial photo; wherein, the calculation formula is:
。
further, the step of updating the queuing time of the queuing position corresponding to the target queuing information in real time according to the time change, and displaying the queuing time and the first queuing photo to the user includes:
acquiring a second queuing picture shot by a queuing camera corresponding to the target queuing information in real time, and identifying a second number of people at the queuing position according to the second queuing picture;
judging whether the second number of people is the same as the first number of people;
if the second number of people is the same as the first number of people, the queuing time is unchanged;
if the second number of people is different from the first number of people, judging whether the second number of people is increased relative to the first number of people;
if the second number of people is increased relative to the first number of people, acquiring the increased number of people, calculating the updated queuing time, and displaying the updated queuing time and the second queued photo to the user; wherein, the calculation formula is: the updated queuing time = the number of people increased x the one-man circulation time + the queuing time;
if the second number of people is reduced relative to the first number of people, obtaining the number of the reduced people, calculating the updated queuing time, and displaying the updated queuing time and the second queued photos to the user; wherein, the calculation formula is: the updated queuing time = queuing time-reduction number of people × single circulation time.
Further, after the step of updating the queuing time of the queuing position corresponding to the target queuing information in real time according to the time change and displaying the queuing time and the first queuing photo to the user, the method further comprises the following steps:
recording the queuing time of each integral point time, and associating the queuing time of each integral point time with the corresponding integral point time;
creating a historical duration data table, adding the queuing duration of each integral point time into the historical duration data table, and classifying by date;
recording weather data and temperature intervals of each date, and associating the weather data and the temperature intervals with corresponding dates; wherein the weather data comprises sunny days, cloudy days and rainy days;
adding the weather data and the temperature interval into the historical time length data table to form a historical time length data table of queuing information of the scenic spot;
and creating a historical database, adding historical time length data tables of a plurality of queuing information of a plurality of scenic spots into the historical database, and classifying the scenic spots.
Further, after the step of creating a historical database, adding a historical duration data table of a plurality of queuing information of a plurality of scenic spots to the historical database, and classifying the scenic spots, the method further comprises:
receiving a trip date and a target scenic spot selected by a user, and acquiring a month in which the trip date is located and weather data and a temperature interval of the trip date;
selecting date data of a month of one year on the travel date of the target scenic spot from a historical database; the date data is associated with queuing time, weather data and temperature intervals of all integral points;
screening the date data according to the weather data and the temperature interval of the trip date to obtain a reference data table;
calculating the predicted time length of each integral point time in each queuing information of the target scenic spot under the travel date according to the queuing time length of each integral point time in the reference data table; wherein, the calculation formula is: the predicted time length of the integral point time of one queuing information = the sum of the time lengths of the integral point times in the queuing information/the number of date data in the queuing information;
and classifying the predicted time length of each integral point moment by using the queuing information of the target scenic spot and displaying the classified time length to the user.
Further, the step of screening the date data according to the weather data and the temperature interval of the trip date to obtain a reference data table includes:
comparing the weather data of the trip date with the weather data in the date data;
extracting date data which are the same as the weather data of the trip date to form a screening data table, and judging whether the date data in the screening data table are larger than a preset number or not;
if the date data in the screening data table is larger than the preset number, comparing the temperature interval of the trip date with the temperature interval of the date data in the screening data table;
extracting date data with the temperature interval coincident with the trip date and the temperature exceeding the set number to form the reference data table;
if the date data in the screening data table are less than or equal to the preset number, judging whether the date data in the screening data table are zero or not;
if the date data in the screening data table is not zero, taking the screening data table as the reference data table;
and if the date data in the screening data table is zero, deleting the screening condition, and calculating the prediction duration of each integral point moment in each queuing information of the target scenic spot on the trip date according to the date data extracted from the historical database.
The invention also provides a device for predicting queuing time in a scenic spot, which comprises:
the acquisition module is used for acquiring a plurality of queuing information of scenic spots; the queuing information comprises a circulation camera and a queuing camera, wherein the circulation camera is a fixed camera at a queuing circulation position, and the queuing camera is a fixed camera at a queuing position;
the selecting module is used for selecting one of the plurality of queuing information as the target queuing information according to the user instruction;
the first calculation module is used for acquiring a plurality of circulation pictures shot by a circulation camera corresponding to the target queuing information within a set time period and calculating the single circulation time length according to the plurality of circulation pictures;
the identification module is used for acquiring a first queuing picture which is shot by a queuing camera corresponding to the target queuing information at the current moment, and identifying the first number of people at the queuing position at the current moment according to the first queuing picture;
the second calculation module is used for calculating the queuing time of the queuing position corresponding to the target queuing information at the current moment according to the first number of people at the queuing position at the current moment and the single circulation time;
and the updating module is used for updating the queuing time of the queuing position corresponding to the target queuing information in real time according to the change of time, and displaying the queuing time and the first queuing photo to the user.
The invention also provides a computer device comprising a memory and a processor, wherein the memory stores a computer program, and the processor implements the steps of the method when executing the computer program.
The invention also provides a computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the steps of the above-mentioned method.
The invention has the beneficial effects that:
acquiring a plurality of queuing information of a scenic spot, wherein one queuing information comprises a circulation camera at a queuing circulation position and a fixed camera at a queuing position, and when a user selects one queuing information, the queuing information is used as target queuing information; the method comprises the steps of obtaining a plurality of circulation pictures shot by a circulation camera of target queuing information in a set time period, calculating to obtain single circulation time, obtaining a first queuing picture shot at the current moment by the queuing camera corresponding to the target queuing information, identifying to obtain the number of queuing people at a queuing position, namely the first person, calculating to obtain the queuing time of the target queuing information according to the single circulation time and the first person, and displaying the queuing time and the first queuing picture to a user, so that the user can timely know the conditions of the queuing site and the queuing time when the user does not arrive at the queuing site, the user can conveniently accept or reject and arrange a route according to the queuing times of the plurality of queuing information, and the user travel experience is improved.
Drawings
Fig. 1 is a schematic flow chart of a method according to an embodiment of the present invention.
Fig. 2 is a schematic structural diagram of an apparatus according to an embodiment of the present invention.
Fig. 3 is a schematic diagram of an internal structure of a computer device according to an embodiment of the present invention.
The implementation, functional features and advantages of the objects of the present invention will be further explained with reference to the accompanying drawings.
Detailed Description
It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
As shown in fig. 1, the present invention provides a method for predicting queuing time in a scenic spot, which includes:
s1, acquiring a plurality of queuing information of scenic spots; the queuing information comprises a circulation camera and a queuing camera, wherein the circulation camera is a fixed camera at a queuing circulation position, and the queuing camera is a fixed camera at a queuing position;
s2, selecting one of the queuing information as the target queuing information according to the user instruction;
s3, acquiring a plurality of circulation pictures shot by a circulation camera corresponding to the target queuing information in a set time period, and calculating single circulation time length according to the circulation pictures;
s4, acquiring a first queuing picture shot by a queuing camera corresponding to the target queuing information at the current moment, and identifying the first number of people at the queuing position at the current moment according to the first queuing picture;
s5, calculating the queuing time of the queuing position corresponding to the target queuing information at the current moment according to the first number of people at the queuing position at the current moment and the single person circulation time;
s6, updating the queuing time of the queuing position corresponding to the target queuing information in real time according to the time change, and displaying the queuing time and the first queuing photo to the user.
As described in the above step S1, a scenic spot may have only one queuing information, such as a doorway of the scenic spot, and a scenic spot may also have a plurality of queuing information, such as a casino in a busy season; each piece of queuing information comprises a circulation camera and a queuing camera, if the gate of the scenic spot is provided with one piece of queuing information, the circulation camera is a camera at the gate of the scenic spot, and the camera capable of shooting the whole queuing site at the queuing position of the scenic spot is a queuing camera; similarly, when the scenic spot has a plurality of queuing information, such as a playground, the circulation camera is a camera at the manual ticket checking place, and the queuing camera is a camera capable of shooting the whole queuing condition of one amusement facility. The queuing camera and the circulation camera are both fixed cameras, and the shot pictures are pictures at the same angle so as to be convenient for identification.
As described in the step S2, a plurality of queuing information of the scenic spot are displayed at the user side, so that the user can select and view the situation of each queuing information, and when the user selects one queuing information, the queuing information selected by the user is used as the target queuing information, and the situation of the target queuing information is analyzed and displayed to the user.
As described in the step S3, the set time period is set to be a set time period before the time when the user selects the target queuing information, if the time when the user selects the target queuing information is 10:05, the set time period is set between 09:30 and 10:00, the circulation situation in the time period can best indicate the current circulation situation, a plurality of circulation pictures taken by the circulation camera are obtained, the single circulation time length is calculated according to the plurality of circulation pictures, and if the queuing position is at the doorway of the scenic spot, the single circulation time length is the time length from the previous person to the next person; when the queuing position is the amusement facility of the amusement park, the circulation time of the single person is the time between the starting time of the amusement facility and the next starting time divided by the number of people the amusement facility can bear.
As described in step S4, the time when the user selects the target queuing information is the current time, the first queuing picture is captured and transmitted by the queuing camera at the current time in real time, the first group pair picture is processed by video recognition, the first number of people in the first queuing picture is recognized by a tensrflow deep learning method, and the first number of people is the number of people in the queue at the queuing position corresponding to the queuing information selected by the user. The TensorFlow deep learning method comprises the following steps: comparing and registering the images by utilizing image matching, description and identification, and obtaining symbolic description of the images by extracting the characteristics and the mutual relation of the images so as to determine the classification of the images; image matching attempts to establish a geometric correspondence between two pictures, measuring how similar or different they are.
After the first person number (i.e., the number of people in the queue) and the single circulation time length are obtained, the queuing time length of the queuing position corresponding to the target queuing information is calculated, wherein the queuing time length = the first person number × the single circulation time length. Updating the queuing time of the target queuing information corresponding to the queuing position in real time according to the time change, namely, the time when the user selects the target queuing information is the first queuing time at the current time, and when the subsequent time changes, the queuing time is obtained again by taking the changed time as the current time, for example, the time when the user selects the target queuing information is 10:05, and the queuing time and the first queuing picture are obtained for the first time and displayed to the user; when the time is changed to 10:06, the queuing time and a new queuing photo are obtained again at the current moment in a ratio of 10:06, and the updated queuing time and the new queuing photo are displayed to the user, so that the user can timely know the queuing field condition and the queuing time without reaching the queuing field, the user can conveniently choose and arrange a journey according to the queuing time of a plurality of pieces of queuing information, and the user travel experience is improved.
In one embodiment, the step of obtaining a plurality of circulation pictures taken by a circulation camera corresponding to the target queuing information within the set time period and calculating the single circulation time length according to the plurality of circulation pictures includes:
s31, acquiring an initial photo shot by a circulation camera corresponding to the target queuing information, and presetting a circulation position on the initial photo;
s32, sequentially selecting one of the circulating photos in a set time period as a photo to be detected according to the time sequence;
s33, when a first target is identified on the circulation position of the photo to be detected, taking the photo to be detected as an initial photo;
s34, when a second target is identified on the circulation position of the photo to be detected, taking the photo to be detected as an end photo;
and S35, calculating the single circulation time according to the time information of the starting photo and the time information of the ending photo.
As described in the above steps S31-S35, when the circulation camera is set, the initial photo taken by the circulation camera is obtained, and a circulation position is preset on the initial photo, such as when the queuing position is at the doorway of the scenic spot, the position where people pass through the gate is set, and when the queuing position is at the amusement facility, the position where the amusement setting starts to move is set. After the circulation position is set, the circulation camera shoots a plurality of pictures within a set time period and is provided with a time mark, one picture is sequentially selected according to the time sequence to serve as a picture to be detected, the circulation position of the picture to be detected is the same as the circulation position of the initial picture, when the first target is identified on the picture to be detected, the picture to be detected serves as an initial picture, when the second target is identified on the picture to be detected, the picture to be detected serves as an end picture, and therefore a single circulation duration is obtained according to the time difference between the initial picture and the end picture. For example, when the queuing position is a doorway of a scenic spot, the time difference between the picture to be detected, which is recognized as the first person, and the picture to be detected, which is recognized as the second person, is the single-person circulation time length; when the queuing position is the tourist attraction, the time difference between the photo to be tested which is recognized to the specific position of the amusement attraction for the first time and the photo to be tested which is recognized to the specific position of the amusement attraction for the second time is divided by the number of persons which can be carried by the amusement attraction to obtain the circulation time of the single person.
In one embodiment, the step of calculating the single circulation time length according to the time information of the start photo and the time information of the end photo includes:
s351, when the queuing circulation position is single-person passage, the calculation formula of the single-person circulation time length is as follows: the single circulation duration = time information of the ending photo-time information of the starting photo;
s352, when the queuing and circulating place is a vehicle to pass, acquiring the maximum number of passengers of the vehicle;
s353, calculating to obtain the single circulation time according to the time information of the initial photo, the time information of the ending photo and the maximum number of people carrying the photo; wherein, the calculation formula is:
。
as described in the above steps S351-S353, when the one-person passage is the queuing circulation, the calculation formula of the one-person circulation time length is: the single circulation time length = time information of the end photo-time information of the start photo, for example, when the queuing position is a doorway of a scenic spot, a time difference between the photo to be detected, in which the first person is identified, and the photo to be detected, in which the second person is identified, is the single circulation time length. When the place of queuing and circulation is a vehicle, the amusement facility of the amusement park can be defaulted to the vehicle, the maximum number of persons carried by the vehicle is obtained, the single circulation time length is obtained by calculation according to the time information of the initial photo, the time information of the ending photo and the maximum number of persons carried by the vehicle, and the calculation formula is as follows:
. For example, when the scenic spot is a mountain climbing scenic spot and a person needs to sit in the scenic spot and move forward, the time difference between the first time of identifying the picture to be measured that the person arrives at the regular bus and the second time of identifying the picture to be measured that the person arrives at the regular bus is divided by the time differenceThe number of people carried by the vehicle can be long for one person to circulate. Similarly, when the scenic spot has regular bus sightseeing and queuing at the departure position of the regular bus in the scenic spot, the single circulation time length is also calculated by using the method,
in one embodiment, the step of updating the queuing time of the queuing position corresponding to the target queuing information in real time according to the time change, and displaying the queuing time and the first queuing photo to the user includes:
s61, acquiring a second queuing picture shot by a queuing camera corresponding to the target queuing information in real time, and identifying a second number of people at the queuing position according to the second queuing picture;
s62, judging whether the second person number is the same as the first person number;
s63, if the second number of people is the same as the first number of people, the queuing time is unchanged;
s64, if the second number of people is different from the first number of people, judging whether the second number of people is increased relative to the first number of people;
s65, if the second number of people is increased relative to the first number of people, acquiring the number of the increased people, calculating the updated queuing time, and displaying the updated queuing time and the second queued photos to the user; wherein, the calculation formula is: the updated queuing time = the number of people increased x the one-man circulation time + the queuing time;
s66, if the second number of people is reduced relative to the first number of people, obtaining the number of the reduced people, calculating the updated queuing time, and displaying the updated queuing time and the second queued photos to the user; wherein, the calculation formula is: the updated queuing time = queuing time-reduction number of people × single circulation time.
As described in the above steps S61-S66, when the queuing time needs to be updated, the second queued photo taken by the queuing camera corresponding to the target queuing information is obtained in real time, similarly, the second number of people (i.e. the updated queuing number) in the second queued photo is identified by using the tensrflow deep learning method, so as to compare the second number of people with the first number of people, and when the second number of people is the same as the first number of people, it indicates that no new people are added, the queuing time is unchanged, and no update is needed. When the second number of people is increased relative to the first number of people, the new people are shown to queue, so that the increased number of people is obtained, the updated queuing time is calculated, and the calculation formula is as follows: the updated queuing time = the number of people increased x the single circulation time + the queuing time, the updated queuing time is displayed to the user, the previous queuing time is replaced, and the updated queuing time is displayed, and the updated picture (i.e. the second picture) is displayed to the user, so that the user can know the increase of the people in the queuing site in time. When the second number of people is reduced relative to the first number of people, the person who is queuing leaves, so that the reduced number of people is obtained, and the updated queuing time is calculated, wherein the calculation formula is as follows: the updated queuing time = queuing time-reduced number of people × single circulation time, the updated queuing time is displayed to the user, the previous queuing time is replaced, and the updated queuing time is displayed, and the updated queuing photo (i.e. the second queuing photo) is displayed to the user, so that the user can know the people reduction situation of the queuing site in time.
In one embodiment, after the step of updating the queuing time of the queuing position corresponding to the target queuing information in real time according to the time change and displaying the queuing time and the first queuing photo to the user, the method further includes:
s7, recording the queuing time of each integral point time, and associating the queuing time of each integral point time with the corresponding integral point time;
s8, creating a historical duration data table, adding the queuing duration of each integral point time into the historical duration data table, and classifying by date;
s9, recording weather data and temperature intervals of each date, and associating the weather data and the temperature intervals with corresponding dates; wherein the weather data comprises sunny days, cloudy days and rainy days;
s10, adding the weather data and the temperature interval into the historical duration data table to form a historical duration data table of queuing information of the scenic spot;
s11, creating a historical database, adding historical duration data tables of a plurality of queuing information of a plurality of scenic spots into the historical database, and classifying the scenic spots.
As described in the above steps S7-S11, the queuing time of each integral time of a queuing information is recorded, the queuing time of each integral time is associated with the corresponding integral time, and then the queuing time of each integral time is added to the historical time data table and classified by date, that is, a historical time data table is a historical time data table of the queuing information, wherein the historical time data table includes a plurality of dates, and each date includes the queuing time of each integral time. Then, distinguishing by date, recording weather data (sunny days, cloudy days and rainy days) and temperature intervals (local temperature intervals acquired from a website) of each date, associating the weather data and the temperature intervals with the dates, and adding the dates to a historical time length data table to form a complete historical time length data table of queuing information; finally, a plurality of historical duration data tables are added into a historical database and classified according to scenic spots, namely, the historical database comprises a plurality of scenic spots, each scenic spot comprises a plurality of historical duration data tables (representing queuing information of the scenic spot), each historical duration data table comprises a plurality of dates, each date is associated with weather data and a temperature interval, and each date comprises a plurality of queuing durations at integral time.
In one embodiment, after the step of creating a historical database, adding a historical duration data table of a plurality of queuing information of a plurality of scenic spots to the historical database, and classifying by scenic spots, the method further comprises:
s12, receiving a trip date and a target scenic spot selected by a user, and acquiring the month of the trip date and the weather data and temperature interval of the trip date;
s13, selecting date data of a month of one year on the travel date of the target scenic spot from the historical database; the date data is associated with queuing time, weather data and temperature intervals of each integral point time;
s14, screening the date data according to the weather data and the temperature interval of the trip date to obtain a reference data table;
s15, calculating the predicted time length of each integral point time in each queuing information of the target scenic spot under the travel date according to the queuing time length of each integral point time in the reference data table; wherein, the calculation formula is: the predicted time length of the integral point time of one queuing information = the sum of the time lengths of the integral point times in the queuing information/the number of date data in the queuing information;
and S16, classifying the predicted time length of each integral point time by the queuing information of the target scenic spot and displaying the classified time length to the user.
As described in the above steps S12-S16, when the user has a travel plan, it may be necessary to check the predicted queuing conditions of the scenic spots in the journey, so that the travel date and the target scenic spot selected by the user are received, and the predicted weather data and temperature interval of the month and the travel date of the travel date are obtained; selecting date data of a month where a trip date of the previous year is located from a historical database to obtain the date data of the previous year, queuing time of each integral point time of each date, weather data of each date and a temperature interval, screening the date data obtained from the historical data according to the trip date weather data and the temperature interval to obtain date data which are consistent with the trip date and the trip weather, and obtaining a reference data table, wherein the date data in the reference data table can represent the possible queuing time; calculating the predicted time length of each integral point time in each queuing information of the target scenic spot under the travel date according to the queuing time length of each integral point time in the reference data table, wherein the calculation formula is as follows: the predicted time length of the integral point time of one queuing information = the sum of the time lengths of the integral point times in the queuing information/the number of date data in the queuing information; for example, if a scenic spot selected by a user has two pieces of queuing information, the obtained reference data table has two parts, the first part is data of party information 1, the second part is data of queuing information 2, the trip date of the queuing information 1 has a plurality of predicted durations at integral time, the predicted duration of 10:00 of the queuing information 1 = the sum of the queuing durations of 10:00 in the first part of the reference data table/the number of date data in the first part of the reference data table; the queuing information 2 also has a plurality of predicted time durations at the integral point time, and the calculation mode of the predicted time duration at each integral point time is the same as that of the queuing information 1, which is not described herein again. And finally, classifying the predicted time length of each integral point moment by using the queuing information of the target scenic spot and displaying the classified time length to the user, namely displaying a plurality of queuing information of the target scenic spot, wherein each queuing information displays the queuing time lengths of a plurality of integral point moments.
In an embodiment, the step of screening the date data according to the weather data and the temperature interval of the trip date to obtain a reference data table includes:
s141, comparing the weather data of the trip date with the weather data in the date data;
s142, extracting date data which are the same as the weather data of the trip date to form a screening data table, and judging whether the date data in the screening data table are larger than a preset number or not;
s143, if the date data in the screening data table is larger than the preset number, comparing the temperature interval of the trip date with the temperature interval of the date data in the screening data table;
s144, extracting date data with temperature overlapping with the temperature interval of the trip date exceeding a set number to form the reference data table;
s145, if the date data in the screening data table is less than or equal to the preset number, judging whether the date data in the screening data table is zero or not;
s146, if the date data in the screening data table is not zero, taking the screening data table as the reference data table;
and S147, if the date data in the screening data table is zero, deleting the screening condition, and calculating the predicted time length of each integral point time in each queuing information of the target scenic spot on the trip date according to the date data extracted from the historical database.
As described in steps S141 to S147, comparing the weather data of the trip date with the weather data of the date data in the reference data table, and extracting the date data identical to the weather data of the trip date to form a screening data table, that is, when the weather of the trip date is a clear day and the weather of the date data is a clear day, extracting the date data, and forming a screening data table by a plurality of qualified date data; judging whether the date data in the screening data table is more than a preset number (preset, such as 10, can be adjusted according to specific conditions, and is not limited herein), when the date data in the screening data table is more than the preset number, indicating that further screening can be performed, so that the temperature interval of the trip date is compared with the temperature interval of the date data in the screening data table, extracting the date data of which the temperature coinciding with the temperature interval of the trip date exceeds a set number (preset, such as 5, can be adjusted according to specific conditions, and is not limited herein) to form a reference data table, wherein for example, the temperature interval of the trip date is 20 degrees to 27 degrees, and the temperature interval of one date data in the screening data table is 17 degrees to 24 degrees, and the coinciding temperature of the two date data is 20 degrees, 21 degrees, 22 degrees, 23 degrees and 24 degrees, and the number is 5, the date data is extracted and a plurality of eligible date data forms a reference data table. When the date data in the screening data table is less than or equal to the preset number, the data is less, so that whether the date data in the screening data table is zero or not is judged, and when the date data in the screening data table is not zero, the data is less and available, and the screening data table is used as the reference data table; when the screening data is zero, no available data exists, so that the screening condition is deleted, and the date data extracted from the historical database is directly calculated to obtain the predicted time length of each integral point time in each queuing information of the target scenic spot under the trip date.
As shown in fig. 2, the present invention further provides a device for predicting queuing time in a scenic spot, which includes:
the system comprises an acquisition module 1, a display module and a control module, wherein the acquisition module is used for acquiring a plurality of queuing information of scenic spots; the queuing information comprises a circulation camera and a queuing camera, wherein the circulation camera is a fixed camera at a queuing circulation position, and the queuing camera is a fixed camera at a queuing position;
the selection module 2 is used for selecting one of the plurality of queuing information as target queuing information according to a user instruction;
the first calculation module 3 is used for acquiring a plurality of circulation pictures shot by a circulation camera corresponding to the target queuing information in a set time period, and calculating the single circulation time length according to the plurality of circulation pictures;
the identification module 4 is used for acquiring a first queuing picture which is shot by a queuing camera corresponding to the target queuing information at the current moment, and identifying the first number of people at the queuing position at the current moment according to the first queuing picture;
the second calculating module 5 is used for calculating the queuing time of the queuing position corresponding to the target queuing information at the current moment according to the first number of people at the queuing position at the current moment and the single circulation time;
and the updating module 6 is used for updating the queuing time of the queuing position corresponding to the target queuing information in real time according to the change of time, and displaying the queuing time and the first queuing photo to the user.
In one embodiment, the first calculation module 3 includes:
the system comprises an initial photo obtaining unit, a communication unit and a communication unit, wherein the initial photo obtaining unit is used for obtaining an initial photo shot by a communication camera corresponding to target queuing information and presetting a communication position on the initial photo;
the photo unit to be detected is used for sequentially selecting one of the circulating photos in a set time period as a photo to be detected according to the time sequence;
the starting photo unit is used for taking the photo to be detected as a starting photo when a first target is identified on the circulation position of the photo to be detected;
the picture ending unit is used for taking the picture to be detected as a picture ending unit when a second target is identified on the circulation position of the picture to be detected;
and the calculating unit is used for calculating the single circulation time according to the time information of the starting photo and the time information of the ending photo.
In one embodiment, a computing unit, comprising:
the first calculating subunit is used for calculating the single circulation time length when the queuing circulation position is single circulation: the single circulation duration = time information of the ending photo-time information of the starting photo;
the maximum passenger number sub-unit is used for acquiring the maximum passenger number of the transportation means when the queuing and circulating place is the transportation means;
the second calculating subunit is used for calculating the single circulation time length according to the time information of the starting photo, the time information of the ending photo and the maximum number of the persons carrying the photos; wherein, the calculation formula is:
。
in one embodiment, update module 6 includes:
the second picture queuing unit is used for acquiring a second queuing picture shot by a queuing camera corresponding to the target queuing information in real time and identifying a second number of people at the queuing position according to the second queuing picture;
the first judging unit is used for judging whether the second person number is the same as the first person number or not;
the queuing time length unit is used for keeping the queuing time length unchanged when the second number of people is the same as the first number of people;
a second judging unit, configured to judge whether the second number of people is increased relative to the first number of people when the second number of people is different from the first number of people;
the first queuing time updating unit is used for acquiring the number of the increased people when the second number of people is increased relative to the first number of people, calculating the updated queuing time, and displaying the updated queuing time and the second queuing photo to the user; wherein, the calculation formula is: the updated queuing time = the number of people increased x the one-man circulation time + the queuing time;
the second queuing time updating unit is used for acquiring the number of the reduced people when the second number of people is reduced relative to the first number of people, calculating the updated queuing time, and displaying the updated queuing time and the second queuing photo to the user; wherein, the calculation formula is: the updated queuing time = queuing time-reduction number of people × single circulation time.
In one embodiment, further comprising:
the recording module is used for recording the queuing time of each integral point time and associating the queuing time of each integral point time with the corresponding integral point time;
the first creating module is used for creating a historical duration data table, adding the queuing duration of each integral point time into the historical duration data table, and classifying the queuing duration by date;
the correlation module is used for recording weather data and temperature intervals of each date and correlating the weather data and the temperature intervals with corresponding dates; wherein the weather data comprises sunny days, cloudy days and rainy days;
the adding module is used for adding the weather data and the temperature interval into the historical duration data table to form a historical duration data table of queuing information of the scenic spot;
and the second creating module is used for creating a historical database, adding historical time length data tables of a plurality of queuing information of a plurality of scenic spots into the historical database, and classifying the scenic spots.
In one embodiment, further comprising:
the system comprises a receiving module, a display module and a display module, wherein the receiving module is used for receiving a trip date and a target scenic spot selected by a user and acquiring the month of the trip date and the weather data and temperature interval of the trip date;
the date data module is used for selecting date data of a month of one year on the travel date of the target scenic spot from a historical database; the date data is associated with queuing time, weather data and temperature intervals of each integral point time;
the screening module is used for screening the date data according to the weather data and the temperature interval of the trip date to obtain a reference data table;
the predicted time length module is used for calculating the predicted time length of each integral point time in each queuing information of the target scenic spot under the travel date according to the queuing time length of each integral point time in the reference data table; wherein, the calculation formula is: the predicted time length of the integral point time of one queuing information = the sum of the time lengths of the integral point times in the queuing information/the number of date data in the queuing information;
and the display module is used for classifying the predicted duration of each integral point moment by using the queuing information of the target scenic spot and displaying the classified predicted duration to the user.
In one embodiment, a screening module, comprises:
the first comparison unit is used for comparing the weather data of the trip date with the weather data in the date data;
the extraction unit is used for extracting date data which are the same as the weather data of the trip date to form a screening data table and judging whether the date data in the screening data table are larger than a preset number or not;
the second comparison unit is used for comparing the temperature interval of the trip date with the temperature interval of the date data in the screening data table when the date data in the screening data table is more than the preset number;
the date data extraction unit is used for extracting date data with temperature overlapping with the temperature interval of the trip date exceeding a set number to form the reference data table;
a third judging unit, configured to judge whether the date data in the screening data table is zero or not when the date data in the screening data table is less than or equal to a preset number;
the reference data table unit is used for taking the screening data table as the reference data table when the date data in the screening data table is not zero;
and the deleting unit is used for deleting the screening conditions when the date data in the screening data table is zero, and calculating the prediction duration of each integral point time in each queuing information of the target scenic spot on the trip date according to the date data extracted from the historical database.
The above modules, units, and sub-units are all used to correspondingly execute each step in the foregoing method for predicting queuing time in a scenic spot, and the specific implementation manner thereof is described with reference to the foregoing method embodiment, and will not be described herein again.
As shown in fig. 3, the present invention also provides a computer device, which may be a server, and the internal structure of which may be as shown in fig. 3. The computer device includes a processor, a memory, a network interface, and a database connected by a system bus. Wherein the computer designed processor is used to provide computational and control capabilities. The memory of the computer device comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program, and a database. The memory provides an environment for the operating system and the running of computer programs in the non-volatile storage medium. The database of the computer device is used for storing all data required by the process of the scenic spot queuing time length prediction method. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program is executed by a processor to implement a scenic spot queuing time prediction method.
Those skilled in the art will appreciate that the architecture shown in fig. 3 is only a block diagram of some of the structures associated with the disclosed aspects and is not intended to limit the computing devices to which the disclosed aspects may be applied.
An embodiment of the present application further provides a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements any one of the above methods for predicting queuing time in a scenic spot.
It will be understood by those skilled in the art that all or part of the processes of the methods of the above embodiments may be implemented by hardware associated with instructions of a computer program, which may be stored on a non-volatile computer-readable storage medium, and when executed, may include processes of the above embodiments of the methods. Any reference to memory, storage, database, or other medium provided herein and used in the examples may include non-volatile and/or volatile memory. Non-volatile memory can include read-only memory (ROM), Programmable ROM (PROM), Electrically Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), double-rate SDRAM (SSRSDRAM), Enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), Rambus Direct RAM (RDRAM), direct bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, apparatus, article, or method 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, apparatus, article, or method. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in the process, apparatus, article or method that comprises the element.
The above description is only a preferred embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes, which are made by using the contents of the present specification and the accompanying drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.
Claims (7)
1. A scenic spot queuing time prediction method is characterized by comprising the following steps:
acquiring a plurality of queuing information of scenic spots; the queuing information comprises a circulation camera and a queuing camera, wherein the circulation camera is a fixed camera at a queuing circulation position, and the queuing camera is a fixed camera at a queuing position;
selecting one of the plurality of queuing information as target queuing information according to a user instruction;
acquiring a plurality of circulation pictures shot by a circulation camera corresponding to target queuing information in a set time period, and calculating single circulation time length according to the circulation pictures;
acquiring a first queuing picture shot by a queuing camera corresponding to target queuing information at the current moment, and identifying a first number of people at the queuing position at the current moment according to the first queuing picture;
calculating the queuing time of the queuing position corresponding to the target queuing information at the current moment according to the first number of people at the queuing position at the current moment and the single circulation time;
updating the queuing time of the queuing position corresponding to the target queuing information in real time according to the time change, and displaying the queuing time and the first queuing photo to the user;
after the step of updating the queuing time of the queuing position corresponding to the target queuing information in real time according to the time change and displaying the queuing time and the first queuing photo to the user, the method further comprises the following steps:
recording the queuing time of each integral point time, and associating the queuing time of each integral point time with the corresponding integral point time;
creating a historical time length data table, adding the queuing time length of each integral point time into the historical time length data table, and classifying by date;
recording weather data and temperature intervals of each date, and associating the weather data and the temperature intervals with corresponding dates; wherein the weather data comprises sunny days, cloudy days and rainy days;
adding the weather data and the temperature interval into the historical time length data table to form a historical time length data table of queuing information of the scenic spot;
creating a historical database, adding historical duration data tables of a plurality of queuing information of a plurality of scenic spots into the historical database, and classifying the scenic spots;
after the step of creating a historical database, adding a historical duration data table of a plurality of queuing information of a plurality of scenic spots into the historical database, and classifying the scenic spots, the method further comprises the following steps:
receiving a trip date and a target scenic spot selected by a user, and acquiring a month in which the trip date is located and weather data and a temperature interval of the trip date;
selecting date data of a month of one year on the travel date of the target scenic spot from a historical database; the date data is associated with queuing time, weather data and temperature intervals of each integral point time;
screening the date data according to the weather data and the temperature interval of the trip date to obtain a reference data table;
calculating the predicted time length of each integral point time in each queuing information of the target scenic spot under the travel date according to the queuing time length of each integral point time in the reference data table; wherein, the calculation formula is: the predicted time length of the integral point time of one queuing information = the sum of the time lengths of the integral point times in the queuing information/the number of date data in the queuing information;
classifying the predicted duration of each integral point moment by using the queuing information of the target scenic spot and displaying the classified predicted duration to the user;
the step of screening the date data according to the weather data and the temperature interval of the trip date to obtain a reference data table comprises the following steps:
comparing the weather data of the trip date with the weather data in the date data;
extracting date data which are the same as the weather data of the trip date to form a screening data table, and judging whether the date data in the screening data table are larger than a preset number or not;
if the date data in the screening data table is larger than the preset number, comparing the temperature interval of the trip date with the temperature interval of the date data in the screening data table;
extracting date data with the temperature interval coincident with the trip date and the temperature exceeding the set number to form the reference data table;
if the date data in the screening data table is less than or equal to the preset number, judging whether the date data in the screening data table is zero or not;
if the date data in the screening data table is not zero, taking the screening data table as the reference data table;
and if the date data in the screening data table is zero, deleting the screening condition, and calculating the prediction duration of each integral point moment in each queuing information of the target scenic spot on the trip date according to the date data extracted from the historical database.
2. The scenic spot queuing time length prediction method according to claim 1, wherein the step of obtaining a plurality of circulation pictures taken by a circulation camera corresponding to the target queuing information within a set time period, and calculating a single circulation time length according to the plurality of circulation pictures comprises:
acquiring an initial photo shot by a circulation camera corresponding to the target queuing information, and presetting a circulation position on the initial photo;
sequentially selecting one of the circulating photos in a set time period as a photo to be detected according to the time sequence;
when a first target is identified on the circulation position of the photo to be detected, taking the photo to be detected as an initial photo;
when a second target is identified on the circulation position of the photo to be detected, taking the photo to be detected as an ending photo;
and calculating the single circulation time according to the time information of the initial photo and the time information of the ending photo.
3. The scenic spot queuing time prediction method according to claim 2, wherein the step of calculating the single person circulation time based on the time information of the start photo and the time information of the end photo comprises:
when the queuing circulation position is single-person passage, the calculation formula of the single-person circulation time length is as follows: the single circulation duration = time information of the ending photo-time information of the starting photo;
when the queuing circulation position is the passage of a vehicle, acquiring the maximum number of passengers of the vehicle;
calculating the single circulation time according to the time information of the initial photo, the time information of the ending photo and the maximum number of persons carrying the initial photo; wherein the content of the first and second substances,
the calculation formula is as follows: duration of single person circulation =
。
4. The scenic spot queuing time prediction method according to claim 1, wherein the step of updating the queuing time of the queuing position corresponding to the target queuing information in real time according to the time variation, and displaying the queuing time and the first queuing photo to the user comprises:
acquiring a second queuing picture shot by a queuing camera corresponding to the target queuing information in real time, and identifying a second number of people at the queuing position according to the second queuing picture;
judging whether the second number of people is the same as the first number of people;
if the second number of people is the same as the first number of people, the queuing time is unchanged;
if the second number of people is different from the first number of people, judging whether the second number of people is increased relative to the first number of people;
if the second number of people is increased relative to the first number of people, acquiring the number of the increased people, calculating the updated queuing time, and displaying the updated queuing time and the second queued photos to the user; wherein, the calculation formula is: the updated queuing time = the number of people increased by the single circulation time plus the queuing time;
if the second number of people is reduced relative to the first number of people, obtaining the number of the reduced people, calculating the updated queuing time, and displaying the updated queuing time and the second queued photos to the user; wherein, the calculation formula is: the updated queuing time = queuing time-reduction number of people × single circulation time.
5. A scenic spot queuing time prediction apparatus, comprising:
the acquisition module is used for acquiring a plurality of queuing information of scenic spots; the queuing information comprises a circulation camera and a queuing camera, wherein the circulation camera is a fixed camera at a queuing circulation position, and the queuing camera is a fixed camera at a queuing position;
the selecting module is used for selecting one of the plurality of queuing information as the target queuing information according to the user instruction;
the first calculation module is used for acquiring a plurality of circulation pictures shot by a circulation camera corresponding to the target queuing information in a set time period and calculating single circulation time according to the circulation pictures;
the identification module is used for acquiring a first queuing picture which is shot by a queuing camera corresponding to the target queuing information at the current moment, and identifying the first number of people at the queuing position at the current moment according to the first queuing picture;
the second calculation module is used for calculating the queuing time of the queuing position corresponding to the target queuing information at the current moment according to the first number of people at the queuing position at the current moment and the single circulation time;
an updating module, configured to update the queuing time of the queuing position corresponding to the target queuing information in real time according to the time change, and display the queuing time and the first queuing photo to the user,
after the step of updating, by the updating module, the queuing time of the queuing position corresponding to the target queuing information in real time according to the time change and displaying the queuing time and the first queuing picture to the user, the method further comprises:
recording the queuing time of each integral point time, and associating the queuing time of each integral point time with the corresponding integral point time;
creating a historical duration data table, adding the queuing duration of each integral point time into the historical duration data table, and classifying by date;
recording weather data and temperature intervals of each date, and associating the weather data and the temperature intervals with corresponding dates; wherein the weather data comprises sunny days, cloudy days and rainy days;
adding the weather data and the temperature interval into the historical time length data table to form a historical time length data table of queuing information of the scenic spot;
creating a historical database, adding historical duration data tables of a plurality of queuing information of a plurality of scenic spots into the historical database, and classifying the scenic spots;
after the step of creating a historical database, adding a historical duration data table of a plurality of queuing information of a plurality of scenic spots into the historical database, and classifying the scenic spots, the method further comprises the following steps:
receiving a trip date and a target scenic spot selected by a user, and acquiring a month in which the trip date is located and weather data and a temperature interval of the trip date;
selecting date data of a month of one year on the travel date of the target scenic spot from a historical database; the date data is associated with queuing time, weather data and temperature intervals of each integral point time;
screening the date data according to the weather data and the temperature interval of the trip date to obtain a reference data table;
calculating the predicted time length of each integral point time in each queuing information of the target scenic spot under the travel date according to the queuing time length of each integral point time in the reference data table; wherein, the calculation formula is: the predicted time length of the integral point time of one queuing information = the sum of the time lengths of the integral point times in the queuing information/the number of date data in the queuing information;
classifying the predicted duration of each integral point moment by using the queuing information of the target scenic spot and displaying the classified predicted duration to the user;
the step of screening the date data according to the weather data and the temperature interval of the trip date to obtain a reference data table comprises the following steps:
comparing the weather data of the trip date with the weather data in the date data;
extracting date data which are the same as the weather data of the trip date to form a screening data table, and judging whether the date data in the screening data table are larger than a preset number or not;
if the date data in the screening data table is larger than the preset number, comparing the temperature interval of the trip date with the temperature interval of the date data in the screening data table;
extracting date data with the temperature interval coincident with the trip date and the temperature exceeding the set number to form the reference data table;
if the date data in the screening data table is less than or equal to the preset number, judging whether the date data in the screening data table is zero or not;
if the date data in the screening data table is not zero, taking the screening data table as the reference data table;
and if the date data in the screening data table is zero, deleting the screening condition, and calculating the prediction duration of each integral point moment in each queuing information of the target scenic spot on the trip date according to the date data extracted from the historical database.
6. A computer device comprising a memory and a processor, the memory storing a computer program, wherein the processor implements the steps of the method of any one of claims 1 to 4 when executing the computer program.
7. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method of any one of claims 1 to 4.
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| CN114330796A (en) | 2022-04-12 |
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