CN115330470B - Beautiful country's country literary travel consumption data analysis system - Google Patents
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Abstract
The invention relates to the technical field of data processing, in particular to a beautiful country journey consumption data analysis system. The system comprises: the data preprocessing module is used for acquiring the operation scores of the country travel projects based on the background conditions of the country; the satisfaction acquiring module is used for acquiring the satisfaction of the tourists in each age group on each type of project; the resource inclination coefficient acquisition module is used for acquiring a resource inclination coefficient when the experience demand of a type of project about tourists of an age group is optimized; and the optimized resource adjusting module is used for adjusting the optimized resources based on the resource inclination coefficient when the experience requirements of different types of projects on tourists of different ages are optimized. The method improves the utilization rate of the country travel consumption data, accurately positions the future development direction of the country travel project, and ensures the rationality of adjusting the optimized resources based on the resource inclination coefficient.
Description
Technical Field
The invention relates to the technical field of data processing, in particular to a beautiful country journey consumption data analysis system.
Background
The country literary and travel industry is an important hand grip for the country vogue career. With the development of digitalization, the innovation and the upgrade of the literary tourism industry in various aspects such as consumption scenes, product forms, service experience, management modes and the like are greatly promoted, and the method becomes a key path for assisting the rural literary tourism industry to overcome the difficulty of pain points, grasp development opportunities and realize high-quality development.
The method utilizes big data analysis to make a prospective business strategy according to consumption data, which is a mainstream business means, but the conventional mining and utilization rate of historical consumption data are low, most of the historical consumption data only analyze the floating trend of consumption and business volume, so that a lot of forward feedback information is difficult to obtain from the historical consumption data, and therefore, when the conventional data analysis method for the historical consumption data is utilized to analyze the historical consumption data of the rural tourist projects, the future development and development directions of the rural tourist projects cannot be accurately positioned according to the analysis result, and the economic benefit of the rural tourist projects cannot be well improved.
Disclosure of Invention
In order to solve the above technical problems, the present invention aims to provide a data analysis system for the consumption of the beautiful country journey, which adopts the following technical scheme:
one embodiment of the present invention provides a beautiful country journey consumption data analysis system, which comprises:
the data preprocessing module is used for acquiring the operation score of the country travel project based on the background condition of the country; setting a statistical period, and dividing items in the historical statistical period into different types of items; dividing tourists in a historical statistical period into tourists of different age groups;
the satisfaction acquiring module is used for acquiring the average consumption levels of tourists of different age groups in a historical statistical period as a first consumption level; historically counting the ratio of the average consumption level of each age group of tourists in each type of item to the first consumption level in the period as the consumption degree of each age group of tourists in each type of item; obtaining the satisfaction degree of the tourists in each age group to each type of project based on the consumption degree of the tourists in each type of project and the number of the tourists in each type of project in each age group;
the resource inclination coefficient acquisition module is used for acquiring the degree to be optimized of one type of item relative to the tourists in one age group based on the variance and the maximum value of the satisfaction degree of the tourists in one age group on different types of items and the satisfaction degree of the tourists in one age group on the one type of item; the product of the operation score and the degree to be optimized of one type of project relative to tourists in one age group is a resource inclination coefficient when the experience requirement of one type of project relative to tourists in one age group is optimized;
and the optimized resource adjusting module is used for adjusting the optimized resources based on the resource inclination coefficient when the experience requirements of different types of projects on tourists of different ages are optimized.
Preferably, the operation score of the country travel project is obtained based on the background condition of the country, and the operation score comprises the following steps:
obtaining a preset number of villages, quantizing the background conditions of each village, forming a background condition set by the quantized result of the background conditions of each village, and dividing the background condition sets of the preset number of villages into a training set and a verification set; scoring the background condition set of the villages in the training set by using the manual country-based background condition to obtain corresponding operation scores; training and verifying the DNN neural network by using the scored training set and verification set, inputting the background condition set of the village into the trained DNN neural network, and outputting the operation score of the village travel project; wherein the loss function of the DNN neural network is a cross-entropy loss function. Preferably, the dividing of the historically counted period of guests into guests of different age groups comprises:
and setting fixed age intervals, and dividing the tourists of different ages into the tourists of different ages according to the fixed age intervals.
Preferably, obtaining average consumption levels of tourists of different age groups in a historical statistical period comprises:
the ratio of the total consumption amount of the tourists in each age group in the historical statistical period to the number of the tourists in each age group is the average consumption level of each age group.
Preferably, historically, the average consumption level of each age group of visitors in each type of project over the period is counted, including:
historically, the ratio of the total amount of money spent by a guest of one age group in a type of item to the number of guests of that age group who play the type of item during the period was counted as the average level of consumption of the guest of that age group in the type of item.
Preferably, the satisfaction of each age group guest with each type of item is:
wherein the content of the first and second substances,
shows the visitors of the v-th age group to the th
Satisfaction of individual types of items;
denotes the first
The number of visitors of the v-th age group in the item of the individual type;
shows that visitors of the v-th age group are at the second
Degree of consumption in each type of item;
expressing an exponential function with a natural constant as a base; n represents the number of divided age groups.
Preferably, obtaining a degree to be optimized for a type of item with respect to a guest of an age group comprises: obtaining the maximum value of the satisfaction degree of the tourists in one age group to different types of items and the difference value of the satisfaction degree of the tourists in the age group to one type of item, calculating the product of the difference value and the variance of the satisfaction degree of the tourists in the age group to different types of items, taking the product as the independent variable of the hyperbolic tangent function to obtain the corresponding hyperbolic tangent function value, wherein the hyperbolic tangent function value is the optimization degree of one type of item to the tourists in the age group.
The embodiment of the invention at least has the following beneficial effects: the method obtains the operation scores of the country travel projects, evaluates the country travel projects on the whole, and considers the background conditions of the country; in addition, the types of the items and the age groups of the tourists are divided, so that the subsequent analysis is more refined; further analyzing the average consumption level of the tourists of different age groups and the average consumption level of each age group on different types of projects to obtain the satisfaction degree of the tourists of each age group on each type of project, and well reflecting the attraction of one type of project on the tourists of different age groups through the satisfaction degree; when the resource inclination coefficient is obtained when the experience requirements of the tourists of one type of project about one age group are optimized, the operation scores of the country tourism projects are not only considered, the to-be-optimized degree of the tourists of one type of project about one age group after refined division is combined, the utilization rate of data is improved, accurate positioning is carried out on the future development and development directions of the country tourism projects, the rationality of adjusting the optimized resources based on the resource inclination coefficient is guaranteed, and resource waste is avoided.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions and advantages of the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and other drawings can be obtained by those skilled in the art without creative efforts.
Fig. 1 is a system block diagram of a system for analyzing data of country-style travel consumption in beauty according to an embodiment of the present invention.
Detailed Description
To further illustrate the technical means and effects of the present invention adopted to achieve the predetermined objects, the following detailed description will be given to a data analysis system for the consumption of the literature and travel in the country according to the present invention, with reference to the accompanying drawings and preferred embodiments. In the following description, different "one embodiment" or "another embodiment" refers to not necessarily the same embodiment. Furthermore, the particular features, structures, or characteristics may be combined in any suitable manner in one or more embodiments.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.
The following describes a specific scheme of the beautiful country travel consumption data analysis system provided by the present invention in detail with reference to the accompanying drawings.
Example (b):
the main application scenarios of the invention are as follows: in recent years, rural tourism has become an important means for promoting the development of rural economy, and when rural tourism projects are built, historical consumption data need to be analyzed, so that different rural tourism projects are improved in a targeted manner, the attractiveness of each rural tourism project to consumers is promoted to the maximum extent, and the economic benefit is improved.
Referring to fig. 1, a block diagram of a system for analyzing data of country-oriented travel consumption in beauty is shown, the system including the following modules:
the data preprocessing module is used for acquiring the operation scores of the country travel projects based on the background conditions of the country; setting a statistical period, and dividing items in the historical statistical period into different types of items; and dividing the tourists in the historical counting period into tourists in different age groups.
The background condition of the village is the basis of the text-travel fusion development, and the text-travel fusion and the village vogue are mutually promoted, so that when the consumption data of the text-travel project are analyzed, the background condition of the village is combined, and the analysis result can be practically fit with the development requirement of the actual village.
Selecting background conditions of the village, wherein the background conditions comprise: resource environment, locational conditions, social and economic conditions and cultural atmosphere, and it needs to be explained that the characteristics of the village related to the background conditions are set by implementers according to the specific situation of the village.
Further, the background condition of each country needs to be quantified, taking the resource environment as an example, the background condition of the resource environment is quantified into four grades of excellent, good, medium and poor according to the quality of the resource environment; meanwhile, when dividing the regional conditions, the social and economic conditions and the cultural atmosphere grades of each country, dividing according to the quality of the three background conditions, wherein the better the regional conditions, the more the grade of the background conditions is close to the best; the better the social and economic conditions are, the more the grade of the background condition is close to the best; the better the culture atmosphere is, the closer the grade of the background condition is to the best; four levels of background conditions for each country were obtained.
Selecting a preset number of villages as samples, obtaining background conditions of the preset number of villages, wherein the grade of the background condition of each village forms a background condition set, for example, the background condition set of one village is { excellent, good and medium }, which indicates that the grades of the resource environment, the locational condition, the social and economic conditions and the cultural atmosphere of the village are respectively excellent, good and medium, preferably, the value of the preset number is 100 in the embodiment of the invention, and an implementer can adjust the value of the preset number according to specific situations; the background conditions of a preset number of villages are collected according to the following steps of 7:3, dividing the ratio into a training set and a verification set; and scoring the background condition set of the villages in the training set according to the background conditions of the villages in a manual scoring mode, wherein the scoring result is between 0 and 1, the scoring result is the operation score of the rural travel project, the more excellent grades in one background condition set, the higher the scoring result of the background condition set of the village is, and the lower the scoring result is otherwise.
Training the DNN neural network by using the scored training set, wherein the DNN neural network has the structure of an Encoder-FC, and the loss function is a cross entropy loss function; and iterating the loss function by adopting a gradient descent method until the loss function is minimum converged, finishing training and inputting a sample in a verification set to verify a training result.
Inputting the background condition set of the village into the trained DNN neural network, outputting the operation score of the village travel project, wherein the score is essentially the probability value of the operating environment, and recording the operation score of the village travel project as E.
Furthermore, a statistical period is set, the time duration of the statistical period can be a month, a year or other time durations, it should be noted that the time duration of the statistical period cannot be too short and needs to be close to the current time, so that the problems of too small data volume and unrepresentative data can be avoided, and the time duration can be set by an implementer according to specific situations. All historical operation data including project data, tourist data, consumption data and the like in a historical statistical period of a local country tourist operation unit are obtained from the local country tourist office, an enterprise report and the like.
The country mode that the current text was tourists to merge, except rural experience type product of the form such as peasant family happy, vegetables and fruits are picked, ecological geomantic omen type tourism product, health preserving type tourism product, also has the innovation product type of a lot of combinations local characteristic and also receives visitor's favor gradually. Therefore, the items in the historical statistical period need to be divided into different types of items according to the item data in the historical statistical period, including a country experience type, an ecological wind and light type, a health preserving type and the like, and it should be noted that the types of the items also need to be divided by an implementer according to the specific situation of the country.
Since the tourists in different age groups have different experiences for the experiences of the items, and the tourists in different age groups need to be specifically analyzed, the tourists are divided according to the tourists data in the historical statistical period, specifically, a fixed age interval is set, for example, 5 years old is a fixed age interval, or 10 years old is a fixed age interval, preferably, in this embodiment, 10 years old is a fixed age interval, and the tourists in the historical statistical period are divided into the tourists in different age groups, so that n age groups are divided.
The satisfaction acquiring module is used for acquiring the average consumption levels of tourists of different age groups in a historical statistical period as a first consumption level; historically counting the ratio of the average consumption level of each age group of tourists in each type of item to the first consumption level in the period as the consumption degree of each age group of tourists in each type of item; satisfaction of each age group of visitors to each type of item is derived based on the degree of consumption of each type of item by visitors of different age groups and the number of visitors of different age groups in each type of item.
The most intuitive expression that the item of one type is attractive to the tourists of one age group is expressed from the spending of the tourists of the age group on the item of the type, so that the average consumption level of the tourists of different age groups in the historical statistical period needs to be obtained, and the ratio of the total consumption amount of the tourists of each age group in the historical statistical period to the number of the tourists of each age group is the average consumption level of each age group and is recorded as a first consumption level
And represents the average consumption level of the visitors of the nth age group, namely the first consumption level of the visitors of the nth age group.
However, only analyzing the number of tourists in different age groups or the per-person consumption level of the tourists in different age groups cannot feed back the specific operation situation of the local country tourist project, so that the average consumption level of the tourists in each age group in different types of projects needs to be obtained, and the total consumption amount of the tourists in one age group in one type of project and the consumption level of the tourists in the age group in a historical statistical period are countedThe ratio of the number of the tourists playing the item of the type is the average consumption level of the tourists in the item of the type in the age group and is recorded as
Indicating that the guest of the v-th age group is at the th
Average consumption level in each type of item.
The average consumption level of the tourist group in one age group on different types of items is compared with the average consumption level of all items in the country of the tourist in the age group, namely the first consumption level, so that the consumption degree of the tourist in the age group on the different types of items is obtained, and the formula is as follows:
wherein the content of the first and second substances,
represents any type of item in the country, v represents tourists of any age group in a historical counting period;
shows that visitors of the v-th age group are right to the v-th
A degree of consumption of the item of the individual type;
shows that visitors of the v-th age group are at the second
Average consumption level in each type of item;
representing a first consumption level of visitors of a nth age group;
indicating that the visitors of the v-th age group are at the th
This value can characterize the experience of visitors of different age groups for different types of items than the proportion of their total consumption in a class item.
In a statistical period, if in a type of project, the passenger flow volumes of different age groups are all relatively large, but the consumption degrees of the tourists of the various age groups are relatively far, or the passenger flow volumes of the different age groups are relatively large, but the consumption degrees of the tourists are just opposite to the passenger flow volumes, the product, the facility, the service and the like in the type of project are too single, and the attractive force is only certain for partial groups, so that the consumption is not stimulated, and further detailed analysis is needed to clarify the improvement and optimization directions.
It is therefore also desirable to obtain satisfaction of each age group of guests with each type of item:
wherein the content of the first and second substances,
shows the visitors of the v-th age group to the th
Satisfaction of individual types of items;
is shown as
The v-th age in each type of itemThe number of visitors to a segment;
shows that visitors of the v-th age group are at the second
Degree of consumption in each type of item;
an exponential function with a natural constant as a base is represented; n represents the number of divided age groups.
Thus, the satisfaction of each type of item by each age group guest is obtained.
The resource inclination coefficient acquisition module is used for acquiring the degree to be optimized of one type of item relative to the tourists in one age group based on the variance and the maximum value of the satisfaction degree of the tourists in one age group on different types of items and the satisfaction degree of the tourists in one age group on the one type of item; the product of the operational score and the degree to be optimized for a type of item with respect to a class of patrons is the resource tilt factor when optimizing the experience requirements for a type of item with respect to a class of patrons.
Whether the satisfaction degree of the tourists is low is caused by different consumption habits of the respective age groups or problems and defects of the items, whether deep optimization and improvement are needed to be carried out on the items of the type, and the tourists of the age group need to be catered to for optimization and improvement, and for the problems, the consumption situation of the tourists of one age group in other types of items needs to be further analyzed.
Calculating the degree of optimization of one type of item with respect to a guest of one age group, specifically, obtaining a difference value between the maximum value of the satisfaction degree of the guest of one age group for different types of items and the satisfaction degree of the guest of the age group for one type of items, calculating a product of the difference value and the variance of the satisfaction degree of the guest of the age group for different types of items, and taking the product as an argument of a hyperbolic tangent function to obtain a corresponding hyperbolic tangent function value, wherein the hyperbolic tangent function value is the degree of optimization of one type of item with respect to the guest of the age group; is formulated as:
wherein the content of the first and second substances,
is shown as
Degree to be optimized for each type of item with respect to visitors of the v-th age group； 
A variance representing satisfaction of visitors of the nth age group with different types of items;
represents the maximum of the satisfaction of the visitors of the nth age group with different types of items;
shows the visitors of the v-th age group to the th
Satisfaction of individual types of items;
representation using pairs of hyperbolic tangent functions
And carrying out proportional normalization to make the value of the normalization between 0 and 1. A larger variance indicates that there is a greater gap in the consumption of the v-th age group guest in the different types of projects,
the visitors representing the v-th age group are at the second
The difference between the experience satisfaction degree of the items of the types and the item of the type with the highest experience satisfaction degree is larger, and the larger the difference is, the more the problem and the defect exist in the item.
And finally, combining the operation scores of the country travel projects obtained based on the background conditions of the country to obtain resource inclination coefficients when the experience demands of different types of projects on tourists of different age groups are optimized:
Simply speaking, the background conditions of the country are general, and even if the travel projects in the area need to be optimized, the resource investment cannot be performed in a large amount, and due to the limitation of the background conditions, the expected benefit effect cannot be obtained due to too much investment, so that the resource waste is caused. And when the background condition of the country is better, resources can be fully input to optimize the problems and the defects of the project, and further, ideal benefits are obtained.
And the optimized resource adjusting module is used for adjusting the optimized resources based on the resource inclination coefficient when the experience requirements of different types of projects on tourists of different ages are optimized.
When different types of projects are optimized, certain resources are needed, the resources comprise capital investment, manpower investment and the like, specific resource investment needs to be determined according to specific conditions, when an optimization scheme is drawn up by an operation unit, capital and personnel investment can be carried out according to market big data and the construction degree of the projects of the same type in the industry, and the resources in the optimization scheme are collectively called as the optimization resources. When the optimized resources are distributed, the resource inclination coefficients when the experience demands of different types of projects about tourists of different age groups are optimized are needed to be used for adjusting the distribution of the optimized resources in the optimized projects, in brief, the distributed optimized resources with large resource inclination coefficients are more in relative ratio, the distributed optimized resources with small resource inclination coefficients are less in relative ratio, and the specific adjustment mode needs implementing personnel to be formulated according to the actual situation of the rural travel projects, so that the accuracy of positioning the future development direction of the rural travel projects is ensured, the waste of the resources is also avoided, and the practical demands of the development of the rural travel projects are better met.
For example, a vegetable and fruit picking project in a certain country is analyzed by the present invention to obtain a resource inclination coefficient higher than the historical consumption data, which indicates that the project has a sufficient number of tourists but a low consumption, and it is considered that the tourists have a high interest level in the project but may have situations such as incomplete matching and few types of fruits and vegetables, so that the consumption level is low, an operating unit needs to optimize the project to some extent, if the environment, soil property and climate at the bottom of the country are general and can not plant a plurality of types of fruits and vegetables, even if the optimization is needed, the actual resource investment needs to be controlled in combination with the actual situation, and the project needs to be allocated to the corresponding facilities and types of the different age groups according to the historical consumption records of the project of the different age groups, the project can be realized by adjusting the resource inclination coefficient provided by the present invention, and assuming that the operating enterprise optimizes the project by the predetermined investment fund through market research, the consumption matching suitable for the different age groups has respective resource inclination coefficients, which need to be explained: the sum of the resource tilt coefficients for all ages is not 1. And multiplying the total amount of the fund by the resource inclination coefficient to obtain the final investment amount matched with consumption of each age group, wherein the rest fund is the investment cost saved due to the background condition and the insufficient degree to be optimized matched with consumption of certain age groups. In short, in a project, more tourists are in a group, the consumption is low, more facilities which can stimulate consumption are invested for middle-aged groups, and less children or old people are in the group, so that the children facilities, the old people rehabilitation facilities and the like are not required to be built for the group with excessive invested funds.
It should be noted that: the precedence order of the above embodiments of the present invention is only for description, and does not represent the merits of the embodiments. And specific embodiments thereof have been described above. In addition, the processes depicted in the accompanying figures do not necessarily require the particular order shown, or sequential order, to achieve desirable results. In some embodiments, multitasking and parallel processing may also be possible or may be advantageous.
The embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the present invention, and any modifications, equivalents, improvements and the like made within the scope of the present invention are intended to be included therein.
Claims (5)
1. A beautiful country textual travel consumption data analysis system, the system comprising:
the data preprocessing module is used for acquiring the operation scores of the country travel projects based on the background conditions of the country; setting a statistical period, and dividing items in the historical statistical period into different types of items; dividing tourists in a historical statistical period into tourists of different age groups;
the satisfaction acquiring module is used for acquiring the average consumption levels of tourists of different age groups in a historical statistical period as a first consumption level; historically counting the ratio of the average consumption level of each age group of tourists in each type of item to the first consumption level in the period as the consumption degree of each age group of tourists in each type of item; obtaining the satisfaction degree of the tourists in each age group to each type of project based on the consumption degree of the tourists in each type of project and the number of the tourists in each type of project;
the resource inclination coefficient acquisition module is used for obtaining the degree to be optimized of one type of item relative to one age group of tourists based on the variance and the maximum value of the satisfaction degree of one age group of tourists on different types of items and the satisfaction degree of one age group of tourists on one type of item; the product of the operation score and the degree of optimization of a type of item with respect to a guest of one age group is a resource skewness factor when optimizing the experience demand of a type of item with respect to a guest of one age group;
the optimization resource adjusting module is used for adjusting the optimization resources based on the resource inclination coefficient when the experience requirements of different types of projects on tourists of different ages are optimized;
the satisfaction of the tourists of each age group to each type of project is as follows:
wherein the content of the first and second substances,
shows the guest of the v' th age group to the th
Satisfaction of each type of item;
is shown as
The number of visitors of the v-th age group in each type of item;
shows that visitors of the v-th age group are at the second
Degree of consumption in each type of item;
expressing an exponential function with a natural constant as a base; n represents the number of divided age groups;
the method for obtaining the degree to be optimized of one type of project about tourists of one age bracket comprises the following steps: the method comprises the steps of obtaining the difference value between the maximum value of the satisfaction degree of the tourists in one age group to different types of items and the satisfaction degree of the tourists in the age group to one type of items, calculating the product of the difference value and the variance of the satisfaction degree of the tourists in the age group to different types of items, and taking the product as the independent variable of a hyperbolic tangent function to obtain a corresponding hyperbolic tangent function value, wherein the hyperbolic tangent function value is the optimization degree of one type of items to the tourists in the age group.
2. The system of claim 1, wherein the obtaining of the operation score of the country travel project based on the country background condition comprises:
obtaining a preset number of villages, quantizing the background conditions of each village, forming a background condition set by the quantized result of the background conditions of each village, and dividing the background condition sets of the preset number of villages into a training set and a verification set; scoring the background condition set of the villages in the training set by using the manual country-based background condition to obtain corresponding operation scores; training and verifying the DNN neural network by using the scored training set and verification set, inputting the background condition set of the village into the trained DNN neural network, and outputting the operation score of the village travel project; wherein the loss function of the DNN neural network is a cross-entropy loss function.
3. The system for analyzing data of tourist consumption in beauty village according to claim 1, wherein said dividing the tourists in the historical statistical period into tourists of different ages comprises:
and setting fixed age intervals, and dividing the tourists of different ages into the tourists of different ages according to the fixed age intervals.
4. The system for analyzing data on tourist consumption in beauty village according to claim 1, wherein said obtaining average consumption levels of tourists of different ages in historical statistical cycles comprises:
the ratio of the total consumption amount of the tourists in each age group in the historical statistical period to the number of the tourists in each age group is the average consumption level of each age group.
5. The system of claim 1, wherein the historical statistics of average consumption levels of tourists of each age group in each type of item over a period comprises:
historically, the ratio of the total amount of money consumed by a guest of one age group in a type of item to the number of guests of that age group who play the type of item during the statistical period is the average level of consumption of the guest of that age group in the type of item.
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