Scenic spot visitor flow peak value prediction method suitable for text travel industry monitoring
A prediction method and technology of people flow, applied in the field of mobile computing, can solve the problem of low accuracy of people flow peak prediction
Active Publication Date: 2021-06-08
江苏唱游数据技术有限公司
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Problems solved by technology
[0006] For this reason, the present invention provides a method for predicting the peak flow of people in scenic spots suitable for the monitoring of the cultural tourism industry. By sharing and comparing the tourist information of each scenic spot, it can effectively solve the peak flow of people in scenic spots monitored by the Chinese tourism industry in the prior art. Technical issues with low prediction accuracy
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[0064] In order to make the objects and advantages of the present invention, the present invention will be further described below in connection with the embodiments; it is understood that the specific embodiments described herein are merely intended to illustrate the invention.
[0065] A preferred embodiment of the present invention will be described below with reference to the accompanying drawings. Those skilled in the art will appreciate that these embodiments are merely used to illustrate the technical principles of the present invention, and is not to limit the scope of the invention.
[0066] It should be noted that the term "upper", "lower", "left", "left", ",", ",", ",", ",", " The direction or positional relationship is only for ease of description, rather than indicating or implying that the device or element must have a specific orientation, and is not understood to limit the limitations of the present invention.
[0067] In addition, it is also necessary to explain t...
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The invention relates to a scenic spot visitor flow peak prediction method suitable for text travel industry monitoring. The method comprises the following steps: step 1, acquiring identity information of a certain visitor in N scenic spots within T time; 2, counting the actual times of the tourist arriving at all scenic spots within the time Ti, comparing the actual times with the standard times of the time Ti to judge whether the tourist appears within the time T1 to Tn, and setting i to be equal to 1, 2, 3,..., n; 3, when the central control unit judges that the tourist appears, counting the total number of the tourists and bringing the total number of the tourists into the predicted tourist flow value of the scenic spot. Therefore, the tourist information of each scenic spot can be shared to determine the actual number of times of a certain tourist arriving at all scenic spots within a certain time, and the actual number of times is compared with the standard number of times to determine the reappearing time of the tourist. The face image information of the tourist in a certain scenic spot is compared with the face image information of other scenic spots to determine whether the tourists in different scenic spots are the same, so that the accuracy of predicting the peak value of the visitor flow in the scenic spot is improved.
Description
Technical field [0001] The present invention relates to the field of mobile calculation techniques, and more particularly to a peak prediction method for a scenic human flow suitable for the monitoring of a cultural industry. Background technique [0002] The literary industry is a referusion of cultural tourism industry. It is an important part of the tourism industry. There is generally in China's academia and some provincial and municipal government departments. Many people use the tourism industry as a cultural industry. Component, including tourism transportation, tourist accommodation, pure natural sightseeing scenic spots. [0003] Tourism is a huge, complex economic and social activity, using data from all aspects to conduct an industrial operation analysis, conducting tourism industry management, effective management of industries, is a necessary means of promoting the scientific development of tourism and building modern tourism industries. Therefore, predicting the hum...
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IPC IPC(8): G06Q10/04G06Q50/14G06K17/00G06K9/00
CPCG06Q10/04G06Q50/14G06K17/00G06V40/172Y02D10/00
Inventor 杨荣平汪道杰
Owner 江苏唱游数据技术有限公司