CN110610764A - Rehabilitation recommendation system and method based on environment and phlegm-dampness constitution - Google Patents
Rehabilitation recommendation system and method based on environment and phlegm-dampness constitution Download PDFInfo
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Abstract
The invention discloses a health maintenance recommendation system based on environment and phlegm-dampness constitution, which comprises a constitution data acquisition module, a phlegm-dampness constitution attribute judgment module, an environment data acquisition module, a health maintenance suitability data model, a data processing module and a recommendation module, wherein the phlegm-dampness constitution attribute judgment module is used for judging the probability that the constitution of a user is the phlegm-dampness constitution; the environment data acquisition module is used for acquiring geographic environment data of a plurality of places; the easy-care data model is used for calculating four-hour easy-care real-time data and standard data of each place; the data processing module obtains the nutrition-suitable matching degree of each local environment and the physique of the user; and the recommending module pushes the place with high matching degree to the user. By collecting geographic environment data of each place, calculating four-hour health-preserving real-time data and standard data of each place according to the geographic environment data, calculating by combining the phlegm-dampness constitution of a user to obtain the health-preserving matching degree of each place environment and the phlegm-dampness constitution of the user, and pushing places with high health-preserving matching degree to the user.
Description
Technical Field
The invention relates to the technical field of computers, in particular to a rehabilitation recommendation system and method based on environment and phlegm-dampness constitution.
Background
Phlegm-dampness constitution refers to the condition of the disorder of viscera function, which easily causes the disorder of transportation and transformation of qi, blood and body fluids, water-dampness accumulation, accumulation of dampness into phlegm and phlegm-dampness accumulation, usually manifested as obesity, abdominal fullness, chest distress, excessive phlegm, easy drowsiness, bad body weight, preference for eating fat and alcohol wine, swollen tongue body, white and greasy tongue coating, and the onset of diseases due to cold-dampness invasion, improper diet, congenital endowment, senile chronic diseases and lack of exercise, and different symptoms and onset tendencies often appear along with different phlegm-dampness retention parts: susceptible to diabetes, stroke, chest stuffiness, etc., and has poor adaptability to plum rain and heavy damp environments. At present, no one researches whether the site is suitable for the residence and recuperation of the phlegm-dampness constitution crowd after analyzing the influence of the current environment on the phlegm-dampness constitution crowd.
Disclosure of Invention
Aiming at the defects in the prior art, the invention provides a health care recommendation system and method based on environment and phlegm-dampness constitution, which are used for analyzing the influence of the environment on phlegm-dampness constitution crowds and recommending places suitable for the residency and the rehabilitation of the phlegm-dampness constitution crowds to users.
In a first aspect, an embodiment of the present invention provides a health care recommendation system based on environment and phlegm-dampness constitution, including: comprises a constitution data acquisition module, a phlegm-dampness constitution attribute judgment module, an environment data acquisition module, a health-preserving data model, a data processing module and a recommendation module,
the physique data module is used for acquiring physique characteristic data of a user;
the phlegm-dampness constitution attribute judging module is used for judging the probability that the constitution of the user is the phlegm-dampness constitution according to the constitution characteristic data of the user;
the environment data acquisition module is used for acquiring geographic environment data of a plurality of places;
the cultivation facilitating data model is used for calculating four-hour cultivation facilitating real-time data and standard data of a plurality of places according to the geographic environment data;
the data processing module is used for processing according to the four-hour health-preserving real-time data, the standard data and the user constitution of each place to obtain the health-preserving matching degree of each place and the user;
and the recommending module is used for comparing the nutrition-eligible matching degrees and pushing places with high nutrition-eligible matching degrees to the user.
Optionally, the system further comprises a map module for displaying a map and a marking module for marking a place with a high nutrition matching degree on the map.
Optionally, the system further includes a positioning module, the positioning module is configured to obtain a current location of the user, and the recommending module is further configured to recommend a nearby foster matching place to the user according to the current location of the user.
Optionally, the system further comprises a range setting module for setting a range for displaying the breeding suitable matching place.
Optionally, the system further comprises a hotel service module, and the hotel service module is used for displaying hotel information in a place with high health-preserving matching degree.
In a second aspect, an embodiment of the present invention provides a method for recommending health based on environment and phlegm-dampness constitution, including:
acquiring physical characteristic data of a user;
judging the probability that the constitution of the user is the phlegm-dampness constitution according to the constitution characteristic data of the user;
acquiring geographic environment data of a plurality of places;
calculating four-hour health-preserving real-time data and standard data of a plurality of places according to the geographic environment data;
processing according to the four-hour health-preserving real-time data, the standard data and the user constitution of each place to obtain the health-preserving matching degree of each place and the user;
and comparing the suitable nutrition matching degrees, and pushing the place with the high suitable nutrition matching degree to the user.
Optionally, the method further comprises:
acquiring a map display request, and displaying a corresponding map according to the request;
and marking a place with high nutrition matching degree on the map.
Optionally, the method further comprises:
acquiring the current position of a user;
and recommending nearby foster matching places to the user according to the current position of the user.
Optionally, the method further comprises:
acquiring a request for setting and displaying a range of a suitable cultivation matching place;
and identifying the suitable breeding matching places in the set range on the map.
Optionally, the method further comprises: acquiring a hotel service request;
and providing hotel information of places with high nutrition-eligible matching degree according to the hotel service request.
The invention has the beneficial effects that:
the health maintenance recommendation system based on environment and phlegm-dampness constitution provided by the embodiment calculates the four-time health maintenance-suitable real-time data and the standard data of each place according to the geographical environment data by acquiring the geographical environment data of each place, calculates by combining the phlegm-dampness constitution of the user, obtains the health maintenance-suitable matching degree of each place environment and the phlegm-dampness constitution of the user, compares the health maintenance-suitable matching degree of each place, and pushes the place with high health maintenance matching degree to the user.
According to the health maintenance recommendation method based on the environment and the phlegm-dampness constitution, the geographical environment data of each place are collected, the four-time health maintenance-suitable real-time data and the standard data of each place are calculated according to the geographical environment data, the phlegm-dampness constitution of the user is combined for calculation, the health maintenance-suitable matching degree of each place environment and the phlegm-dampness constitution of the user is obtained, the health maintenance-suitable matching degree of each place is compared, and the place with the high health maintenance matching degree is pushed to the user.
Drawings
In order to more clearly illustrate the detailed description of the invention or the technical solutions in the prior art, the drawings that are needed in the detailed description of the invention or the prior art will be briefly described below. Throughout the drawings, like elements or portions are generally identified by like reference numerals. In the drawings, elements or portions are not necessarily drawn to scale.
FIG. 1 is a block diagram of a health recommendation system based on environment and phlegm-dampness constitution according to a first embodiment of the present invention;
fig. 2 is a flowchart illustrating a health recommendation method based on environment and phlegm-damp constitutions according to a second embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It will be understood that the terms "comprises" and/or "comprising," when used in this specification and the appended claims, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof.
It is also to be understood that the terminology used in the description of the invention herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used in the specification of the present invention and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise.
It should be further understood that the term "and/or" as used in this specification and the appended claims refers to and includes any and all possible combinations of one or more of the associated listed items.
As used in this specification and the appended claims, the term "if" may be interpreted contextually as "when", "upon" or "in response to a determination" or "in response to a detection". Similarly, the phrase "if it is determined" or "if a [ described condition or event ] is detected" may be interpreted contextually to mean "upon determining" or "in response to determining" or "upon detecting [ described condition or event ]" or "in response to detecting [ described condition or event ]".
It is to be noted that, unless otherwise specified, technical or scientific terms used herein shall have the ordinary meaning as understood by those skilled in the art to which the invention pertains.
Referring to fig. 1, a block diagram of a health care recommendation system based on environment and phlegm-damp constitution according to a first embodiment of the present invention is shown, the system comprising: comprises a constitution data acquisition module, a phlegm-dampness constitution attribute judgment module, an environment data acquisition module, a health-preserving data model, a data processing module and a recommendation module,
the physique data module is used for acquiring physique characteristic data of a user;
the phlegm-dampness constitution attribute judging module is used for judging the probability that the constitution of the user is the phlegm-dampness constitution according to the constitution characteristic data of the user;
the environment data acquisition module is used for acquiring geographic environment data of a plurality of places;
the cultivation facilitating data model is used for calculating four-hour cultivation facilitating real-time data and standard data of a plurality of places according to the geographic environment data;
the data processing module is used for processing according to the four-hour health-preserving real-time data, the standard data and the user constitution of each place to obtain the health-preserving matching degree of each place and the user;
and the recommending module is used for comparing the nutrition-eligible matching degrees and pushing places with high nutrition-eligible matching degrees to the user.
The health care recommendation system based on the environment and the phlegm-dampness constitution can be realized through APP or a website, and the website is taken as an example in the embodiment. In the embodiment, by sending a survey form, such as table 1, to the user, the characteristics of the people with phlegm-dampness constitution in the survey form are determined, and the probability or index that the user belongs to phlegm-dampness constitution is determined according to the content filled by the user. And (3) obtaining the constitution score of the user according to the table 1, and then carrying out accurate matching calculation, wherein the phlegm-dampness constitution index is a calculation result which accords with the constitution total score of 30 minutes under the default condition. The physique data module acquires physique characteristic data of the user. The phlegm-dampness constitution attribute judging module calculates the score according to the answer filled by the user and judges the probability that the constitution of the user is the phlegm-dampness constitution. The environment data acquisition module acquires geographic environment data of a plurality of places.
TABLE 1
The nutrient-adapted data model comprises standard data and real-time data of the nutrient-adapted indexes in spring, summer, autumn and winter. The spring health-promoting index is divided into a real-time index and a standard index, the standard index interval time is day, and a calculation model is established by using the indexes in the table 2 to obtain a result.
TABLE 2
The calculation process of the spring health-beneficial standard index is as follows:
value 1-temperature-0.55 (1-humidity) x (temperature-14.4)
The value 2 is weather phenomenon number ÷ 10> 1? 100%/weather phenomenon number ÷ 10%
The value 3 ═ 100% — (temperature rate of change + humidity rate of change + value 2) ÷ 3 ÷ temperature rate of change + humidity rate of change + value 2 ÷ temperature rate of change + humidity rate of change + temperature change + value of change +
The value 4 ═ 100-ABS (value 1-22) × 6 ÷ 100
The value 5 ═ ABS (latitude-35) × 2 ÷ 100
The value 6 ═ ((altitude-1500) < 0? 100%: altitude-1500)) ÷ 10000 × 2
The value 7 ═ 1013-air pressure ÷ 100
The value 8 ═ 5X 30% + 6X 30% + 7X 40%
The standard index of spring's nutrition is 3 × 35% + 4 × 50% + 8 × 15%.
In the above formula, ABS represents the absolute value of the value, and 2 ═ weather phenomenon number ÷ 10> 1? 100%,/weather phenomenon number ÷ 10, which means that when the weather phenomenon number ÷ 10>1, the value 2 ═ 100%, and when the weather phenomenon number ÷ 10 ≦ 1, the value 2 ═ weather phenomenon number ÷ 10, and the same reason, and the other value 6 is the same reason, and is not described again here.
The real-time spring health index calculation composition is shown in table 3:
| index of refraction | Description of the invention |
| Temperature of | Current temperature |
| Humidity | Current humidity |
| Latitude | Latitude |
| Altitude (H) level | Altitude (H) level |
| Air pressure | Current air pressure |
TABLE 3
The spring health-preserving real-time index calculation process is as follows:
value 1-temperature-0.55 (1-humidity) x (temperature-14.4)
The value 2 ═ ABS (latitude-35) × 2) ÷ 100
The value 3 ═ ((altitude-1500) < 0? 100%: altitude-1500)) ÷ 10000 × 2
Value 4 ═ 1013-air pressure ÷ 100
The value 5 ═ 100-ABS (value 1-22) × 6 ÷ 100
The real-time index of spring's nutrition is 2 × 10% + 3 × 15% + 4 × 15% + 5 × 60%.
The summer nutrient-free index is divided into a real-time index and a standard index, the standard index interval time is days, and a calculation model is established by using the indexes in the table 4 to obtain a result.
| Index of refraction | Description of the invention |
| Day temperature | Time of day average temperature |
| Night temperature | Mean temperature at night |
| Diurnal dampness | Average humidity during daytime |
| Night wetting | Mean humidity at night |
| Latitude | Latitude |
| Altitude (H) level | Altitude (H) level |
| Air pressure | Current air pressure |
TABLE 4
The summer nourishing standard index calculation process is as follows:
the value 1 ═ day temperature-0.55 × (1-day humidity) × (day temperature-14.4)
The value 2 ═ 100-ABS (value 1-22) × 6 ÷ 100
The value 3 ═ ABS (latitude-35) × 2 ÷ 100
The value 4 ═ ((altitude-1500) < 0? 100%: altitude-1500)) ÷ 10000 × 2
Value 5 ═ 1013-air pressure ÷ 100
The value 6 ═ 3X 30% + 4X 30% + 5X 40%
Value 7-night temperature-0.55 (1-night Wet). times (night temperature-14.4)
The value 8 ═ 100-ABS (value 7-22) × 6 ÷ 100
The value 9 ═ 2X 55% + 8X 45%
The standard index of Xiajong nourishing is 9 × 70% + 6 × 30%.
The composition of the real-time summer health-preserving index calculation is shown in table 5:
| index of refraction | Description of the invention |
| Temperature of | Current temperature |
| Humidity | Current humidity |
| Latitude | Latitude |
| Altitude (H) level | Altitude (H) level |
| Air pressure | Current air pressure |
TABLE 5
The summer health-preserving real-time index is calculated as follows:
value 1-temperature-0.55 (1-humidity) x (temperature-14.4)
The value 2 ═ 100-ABS (value 1-22) × 6 ÷ 100
The value 3 ═ ABS (latitude-35) × 2 ÷ 100
The value 4 ═ ((altitude-1500) < 0? 100%: altitude-1500)) ÷ 10000 × 2
Value 5 ═ 1013-air pressure ÷ 100
The value 6 ═ 3X 30% + 4X 30% + 5X 40%
The real-time index of Xiajuyan is 2 × 70% + 6 × 30%.
The autumn nutrition index is divided into a real-time index and a standard index, the standard index interval time is days, a calculation model is built according to the indexes in the table 6, and a result is obtained.
TABLE 6
Wind efficiency index:
t: temperature V: wind speed (m/S) S: sunshine, calculated in 6 hours in sunny days
The calculation process of the autumn health-beneficial standard index is as follows:
value 1-temperature-0.55 (1-humidity) x (temperature-14.4)
The value 2 is weather phenomenon number ÷ 10> 1? 100%/weather phenomenon number ÷ 10%
Value 3 ═ 100% — (rate of temperature change + value 2) ÷ 3
Value 4 >3 wind power 3? value 9 value 10
The value 5 ═ ABS (latitude-35) × 2 ÷ 100
The value 6 ═ ((altitude-1500) < 0? 100%: altitude-1500)) ÷ 10000 × 2
The value 7 ═ 1013-air pressure ÷ 100
The value 8 ═ 5X 30% + 6X 30% + 7X 40%
The value 9 ABS (wind efficiency index) ÷ 400
The value 10 ═ 100-ABS (value 1-22) × 6 ÷ 100
The autumn health standard index is 3 × 35% + 4 × 50% + 8 × 15%
The compositions of real-time autumn health care indexes are calculated as shown in table 7 below:
TABLE 7
The autumn-friendly real-time index calculation process is as follows:
value 1-temperature-0.55 (1-humidity) x (temperature-14.4)
The value 2 ═ ABS (latitude-35) × 2) ÷ 100
The value 3 ═ ((altitude-1500) < 0? 100%: altitude-1500)) ÷ 10000 × 2
Value 4 ═ 1013-air pressure ÷ 100
Value 5 ═ wind > 3? value 6:value7
The value 6 ABS (wind efficiency index) ÷ 400
The value 7 ═ 100-ABS (value 1-22) × 6 ÷ 100
Autumn health promotion real-time index of 2 × 10% + 3 × 15% + 4 × 15% + 5 × 60%
The winter nutrient index is divided into a real-time index and a standard index, the interval time of the standard index is days, and a calculation model is established by using the indexes in the table 8 to obtain a result.
TABLE 8
Wind efficiency index:
t: temperature V: wind speed (m/S) S: sunshine, calculated in 6 hours in sunny days
The calculation process of the standard index of the suitable cultivation in winter is as follows:
the value 1 ═ diurnal temperature-0.55 × (1-diurnal humidity) × (diurnal temperature-14.4)
The value 2 ═ day of sunshine ÷ 3 × 100%
The value 3 ABS (wind efficiency index) ÷ 400
The value 4 ═ 100-ABS (value 1-22) × 6 ÷ 100
The value 5 ═ ABS (latitude-35) × 2 ÷ 100
The value 6 ═ ((altitude-1500) < 0? 100%: altitude-1500)) ÷ 10000 × 2
The value 7 ═ 1013-air pressure ÷ 100
The value 8 ═ 5X 30% + 6X 30% + 7X 40%
Wind speed > 3? value 3 value 4 value 9
The value 10 ═ night temperature-0.55 × (1-night humidity) × (night temperature-14.4)
The value 11 ═ 100-ABS (value 10-22) × 6 ÷ 100
The value 12 ═ 1X 55% + 11X 45%
The standard index of winter keeping is 8 × 20% + 9 × 60% + 12 × 20%
The real-time index calculation composition for winter support is shown in table 9:
TABLE 9
The real-time winter support index calculation process is as follows:
value 1-temperature-0.55 (1-humidity) x (temperature-14.4)
The value 2 ═ ABS (latitude-35) × 2) ÷ 100
The value 3 ═ ((altitude-1500) < 0? 100%: altitude-1500)) ÷ 10000 × 2
Value 4 ═ 1013-air pressure ÷ 100
The value 5 ═ 100-ABS (value 1-22) × 6 ÷ 100
The value 6 ABS (wind efficiency index) ÷ 400
The value 7 is >1 for fine, 0.8 for yin, 0.5 for rain and snow
Wind speed > 3? value 6 value 5 value 8
The winter suitable cultivation real-time index is 2 × 10% + 3 × 10% + 4 × 10% + 7 × 10% + 8 × 60%.
And calculating the four-hour health-preserving real-time data and the standard data of the plurality of places according to the geographic environment data of each place and the calculation method. The data processing module processes the four-hour health-preserving real-time data, the standard data and the user physique of each place to obtain the health-preserving matching degree of each place environment and the user physique.
The phlegm-dampness constitution is particularly sensitive to humidity and poor in tolerance to high humidity, and the influence of humidity is mainly considered when calculating the phlegm-dampness nutrition-benefiting index. The phlegm-dampness maintaining proper index comprises a phlegm-dampness maintaining proper standard index and a phlegm-dampness maintaining proper real-time index.
The standard index of the phlegm-dampness nourishment is obtained by weighting and calculating standard indexes of different four-hour indexes and body mass indexes, and the calculation process is as follows:
value 1 is a four-hour standard index
Value 2 ═ ABS (humidity-50%)
The standard index of phlegm-dampness nourishing is 1 × 70% + 2 × 30%
The real-time index is obtained by weighting and calculating the real-time index and the body mass index of different four-time indexes, and the calculation process is as follows:
value 1 is four-hour real time index
Value 2 ═ ABS (humidity-50%)
The real-time index of phlegm-dampness nourishment is 1 × 70% + 2 × 30%.
The phlegm-dampness health-benefiting matching degree is the health-benefiting matching degree of the environment and the individual phlegm-dampness constitution, and is calculated as follows:
the value 1 is the phlegm-dampness nourishing index (phlegm-dampness nourishing four-hour index or phlegm-dampness nourishing real-time index)
Value 2 is the phlegm-dampness constitution index
The degree of phlegm-dampness is 1 × (1+ (value 2-30) ÷ 30).
According to the difference of the value 1, the matching degree of the phlegm-dampness nourishment in four hours or the real-time matching degree of the phlegm-dampness nourishment in real time can be calculated. The data processing module processes the four-hour nourishing-eligible real-time data, the standard data and the phlegm-dampness constitution of the user according to the method to obtain the four-hour phlegm-dampness nourishing-eligible matching degree or the real-time phlegm-dampness nourishing-eligible matching degree of each place. The recommending module compares the phlegm-dampness nourishing matching degrees of all places and recommends places with high nourishing matching degrees to users.
The health maintenance recommendation system based on environment and phlegm-dampness constitution provided by the embodiment calculates the four-time health maintenance-suitable real-time data and the standard data of each place according to the geographical environment data by acquiring the geographical environment data of each place, calculates by combining the phlegm-dampness constitution of the user, obtains the health maintenance-suitable matching degree of each place environment and the phlegm-dampness constitution of the user, compares the health maintenance-suitable matching degree of each place, and pushes the place with high health maintenance matching degree to the user.
The health care recommendation system based on the environment and the phlegm-dampness constitution further comprises a map module and a marking module, wherein the map module is used for displaying a map, and the marking module is used for marking a place with high nutrition-benefiting matching degree on the map. The map module has a map display function, and the places are marked on the map according to the obtained place marking module of the phlegm-dampness constitution nourishing matching degree, so that a user can visually see the places with high phlegm-dampness constitution nourishing matching degree.
The health maintenance recommendation system based on the environment and the phlegm-dampness constitution further comprises a positioning module, wherein the positioning module is used for acquiring the current position of the user, and the recommendation module is further used for recommending a nearby health maintenance matching place to the user according to the current position of the user. The positioning module acquires the current position of the user terminal, and recommends a place which is close to the current position and has high matching degree for the user according to the current position of the user terminal, so that the user can select the close place for recuperation, and the back and forth operation is convenient.
The health care recommendation system based on the environment and the phlegm-dampness constitution further comprises a range setting module, and the range setting module is used for setting a range displaying the suitable health care matching place. In order to meet various display requirements of users, the users set the range through the range setting module and display the health-care matching place on the map.
The health maintenance recommendation system based on the environment and the phlegm-damp physique further comprises a hotel service module, and the hotel service module is used for displaying hotel information of a place with high health maintenance matching degree. In order to solve the problem of user accommodation, the system is provided with a hotel service module, and a user can search for information of a hotel near a place with high nutrition-suitable matching degree through the hotel service module and book the hotel in advance.
In the first embodiment, a health care recommendation system based on environment and phlegm-dampness constitution is provided, and correspondingly, the application also provides a health care recommendation method based on environment and phlegm-dampness constitution. Please refer to fig. 2, which is a flowchart illustrating a health recommendation method based on environment and phlegm-damp constitutions according to a second embodiment of the present invention. Since the method embodiment is basically similar to the device embodiment, the description is simple, and the relevant points can be referred to the partial description of the device embodiment. The method embodiments described below are merely illustrative.
As shown in fig. 2, a flowchart of a health recommendation method based on environment and phlegm-dampness constitution according to a second embodiment of the present invention is shown, the method comprising:
and S1, acquiring the physical characteristic data of the user.
And S2, judging the probability that the constitution of the user is the phlegm-dampness constitution according to the constitution characteristic data of the user.
And S3, acquiring geographic environment data of a plurality of places.
And S4, calculating four-hour health-preserving real-time data and standard data of a plurality of places according to the geographic environment data.
And S5, processing according to the four-hour nutrition-suitable real-time data, the standard data and the user constitution of each place to obtain the nutrition-suitable matching degree of each place and the user.
And S6, comparing the suitable nutrition matching degrees, and pushing the place with the high suitable nutrition matching degree to the user.
The above is an example of the health-care recommendation method based on environment and phlegm-damp physique according to the second embodiment of the present invention.
According to the health maintenance recommendation method based on the environment and the phlegm-dampness constitution, geographic environment data of all places are collected, four-time health maintenance-suitable real-time data and standard data of all places are calculated according to the geographic environment data, calculation is carried out by combining the phlegm-dampness constitution of a user, the health maintenance-suitable matching degree of the environment of each place and the phlegm-dampness constitution of the user is obtained, the health maintenance-suitable matching degree of each place is compared, and the place with high health maintenance matching degree is pushed to the user.
In this embodiment, the method further includes:
s7, acquiring a map display request, and displaying a corresponding map according to the request;
and S8, marking a place with high nutrition matching degree on the map.
Through the steps S1-S8, the places are marked on the map according to the obtained place marking module of the nutrition-eligible matching degree, so that the user can conveniently and visually see the places with high nutrition-eligible matching degree suitable for the phlegm-dampness constitution.
In this embodiment, the method further includes:
s9, acquiring the current position of the user;
and S10, recommending nearby foster matching places to the user according to the current position of the user.
Through the steps S1-S10, the current position of the user terminal is obtained, and a place which is close to the current position and has high nutrition-suitable matching degree is recommended to the user according to the current position of the user terminal, so that the user can select the close place to perform rehabilitation and the back and forth are convenient.
In this embodiment, the method further includes:
s11, acquiring a request for setting and displaying the range of the suitable breeding matching place;
and S12, identifying the breeding matching areas within the set range on the map.
Through steps S1-S12, the user sets a suitable location to be displayed on the map within the range set by the range setting module, so that various display requirements of the user can be met.
In this embodiment, the method further includes:
s13, acquiring a hotel service request;
and S14, providing hotel information of places with high nutrition matching degree according to the hotel service request.
Through steps S1-S14, the user can search for hotel information near the place with high nutrition matching degree through the hotel service module, and advance the booking of the hotel.
An embodiment of a computer-readable storage medium is also provided in the present invention, the computer-readable storage medium storing a computer program comprising program instructions that, when executed by a processor, cause the processor to perform the method described in the second embodiment above.
The computer readable storage medium may be an internal storage unit of the terminal described in the foregoing embodiment, for example, a hard disk or a memory of the terminal. The computer readable storage medium may also be an external storage device of the terminal, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), and the like provided on the terminal. Further, the computer-readable storage medium may also include both an internal storage unit and an external storage device of the terminal. The computer-readable storage medium is used for storing the computer program and other programs and data required by the terminal. The computer readable storage medium may also be used to temporarily store data that has been output or is to be output.
Those of ordinary skill in the art will appreciate that the elements and algorithm steps of the examples described in connection with the embodiments disclosed herein may be embodied in electronic hardware, computer software, or combinations of both, and that the components and steps of the examples have been described in a functional general in the foregoing description for the purpose of illustrating clearly the interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
It can be clearly understood by those skilled in the art that, for convenience and brevity of description, the specific working processes of the terminal and the unit described above may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the several embodiments provided in the present application, it should be understood that the disclosed terminal and method can be implemented in other manners. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units is only one logical division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may also be an electric, mechanical or other form of connection.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; such modifications and substitutions do not depart from the spirit and scope of the present invention, and they should be construed as being included in the following claims and description.
Claims (10)
1. A health maintenance recommendation system based on environment and phlegm-dampness constitution is characterized by comprising a constitution data acquisition module, a phlegm-dampness constitution attribute judgment module, an environment data acquisition module, a health maintenance suitability data model, a data processing module and a recommendation module,
the physique data module is used for acquiring physique characteristic data of a user;
the phlegm-dampness constitution attribute judging module is used for judging the probability that the constitution of the user is the phlegm-dampness constitution according to the constitution characteristic data of the user;
the environment data acquisition module is used for acquiring geographic environment data of a plurality of places;
the easy-care data model is used for calculating four-hour easy-care real-time data and standard data of each place according to the geographic environment data;
the data processing module is used for processing according to the four-hour health-benefiting real-time data, the standard data and the user physique of each place to obtain the health-benefiting matching degree of each place environment and the user physique;
and the recommending module is used for comparing the nutrition-eligible matching degrees and pushing places with high nutrition-eligible matching degrees to the user.
2. A health promotion recommendation system based on environment and phlegm-dampness constitution according to claim 1, further comprising a map module for displaying a map and a marking module for marking a place with high matching degree of good health promotion on the map.
3. A health care recommendation system based on environment and phlegm-dampness constitution according to claim 2, further comprising a positioning module for obtaining the current position of the user, said recommendation module further for recommending a nearby foster matching place to the user according to the current position of the user.
4. A health recommendation system based on environment and phlegm-dampness constitution according to claim 3, further comprising a range setting module for setting a range displaying the suitable nutrition matching place.
5. A health care recommendation system based on environment and phlegm-dampness constitution according to any one of claims 1-4, characterized by further comprising a hotel service module for displaying hotel information of a place with high nutrition matching degree.
6. A health care recommendation method based on environment and phlegm-dampness constitution is characterized by comprising the following steps:
acquiring physical characteristic data of a user;
judging the probability that the constitution of the user is the phlegm-dampness constitution according to the constitution characteristic data of the user;
acquiring geographic environment data of a plurality of places;
calculating four-hour health-preserving real-time data and standard data of a plurality of places according to the geographic environment data;
processing according to the four-hour health-preserving real-time data, the standard data and the user constitution of each place to obtain the health-preserving matching degree of each place and the user;
and comparing the suitable nutrition matching degrees, and pushing the place with the high suitable nutrition matching degree to the user.
7. The environmental and phlegmatic hygrosis-based wellness recommendation method of claim 6, further comprising:
acquiring a map display request, and displaying a corresponding map according to the request;
and marking a place with high nutrition matching degree on the map.
8. A method of claim 7 for environmental and phlegmatic hygrosis-based wellness recommendation, further comprising:
acquiring the current position of a user;
and recommending nearby foster matching places to the user according to the current position of the user.
9. A method of claim 7 for environmental and phlegmatic hygrosis-based wellness recommendation, further comprising:
acquiring a request for setting and displaying a range of a suitable cultivation matching place;
and identifying the suitable breeding matching places in the set range on the map.
10. A method of health recommendation based on environmental and phlegmatic hygrosis constitutions according to any one of claims 6 to 9, further comprising:
acquiring a hotel service request;
and providing hotel information of places with high nutrition-eligible matching degree according to the hotel service request.
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Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20150120633A1 (en) * | 2013-10-31 | 2015-04-30 | Health 123, Inc. | Wellness information analysis system |
| CN104751387A (en) * | 2013-12-27 | 2015-07-01 | 国际商业机器公司 | System And Method For Probabilistic Evaluation Of Contextualized Reports And Personalized Recommendation |
| CN104978700A (en) * | 2015-06-29 | 2015-10-14 | 昆明理工大学 | Real-time recommendation method for self-help travel of old people in tourism website |
| US20160232201A1 (en) * | 2015-02-11 | 2016-08-11 | Google Inc. | Methods, systems, and media for recommending computerized services based on an animate object in the user's environmentes |
| CN105931080A (en) * | 2016-04-29 | 2016-09-07 | 广东美的制冷设备有限公司 | Method and system for providing life suggestions according to air conditioner temperature operation data, and air conditioner |
| CN106440244A (en) * | 2016-10-31 | 2017-02-22 | 广东美的制冷设备有限公司 | Air conditioner based itinerary recommendation method and system |
| CN109817326A (en) * | 2018-12-10 | 2019-05-28 | 广东省中医院 | Health care system is raised in Chinese medicine personalization health |
-
2019
- 2019-09-18 CN CN201910879892.XA patent/CN110610764A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20150120633A1 (en) * | 2013-10-31 | 2015-04-30 | Health 123, Inc. | Wellness information analysis system |
| CN104751387A (en) * | 2013-12-27 | 2015-07-01 | 国际商业机器公司 | System And Method For Probabilistic Evaluation Of Contextualized Reports And Personalized Recommendation |
| US20160232201A1 (en) * | 2015-02-11 | 2016-08-11 | Google Inc. | Methods, systems, and media for recommending computerized services based on an animate object in the user's environmentes |
| CN104978700A (en) * | 2015-06-29 | 2015-10-14 | 昆明理工大学 | Real-time recommendation method for self-help travel of old people in tourism website |
| CN105931080A (en) * | 2016-04-29 | 2016-09-07 | 广东美的制冷设备有限公司 | Method and system for providing life suggestions according to air conditioner temperature operation data, and air conditioner |
| CN106440244A (en) * | 2016-10-31 | 2017-02-22 | 广东美的制冷设备有限公司 | Air conditioner based itinerary recommendation method and system |
| CN109817326A (en) * | 2018-12-10 | 2019-05-28 | 广东省中医院 | Health care system is raised in Chinese medicine personalization health |
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Application publication date: 20191224 |