CN110600137A - Data processing method and device based on health-care suitability - Google Patents
Data processing method and device based on health-care suitability Download PDFInfo
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/70—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for mining of medical data, e.g. analysing previous cases of other patients
Abstract
The embodiment of the invention discloses a data processing method and a data processing device based on health-care suitability, wherein the method comprises the following steps: acquiring ecological environment data; acquiring five-organ index data according to the ecological environment data; comparing the five-organ index data with the standard data to obtain a deviation value; if the deviation value is within the preset value, the five-organ index data are reasonable and are stored in a historical data set; if the deviation value is not within the preset value, the deviation value is listed as suspicious data. Through the technical scheme, the index data of the five internal organs meeting the requirements can be screened out, and a data basis is provided for health and maintenance suitability analysis based on big data.
Description
Technical Field
The invention relates to the technical field of computers, in particular to a data processing method and device based on health-care suitability.
Background
Big data (big data) refers to a data set which cannot be captured, managed and processed by a conventional software tool within a certain time range, and is a massive, high-growth rate and diversified information asset which needs a new processing mode to have stronger decision-making power, insight discovery power and flow optimization capability. In recent years, large data has been applied to a plurality of fields.
Further, with the continuous improvement of living standard, people pay more and more attention to health preservation. Health preserving refers to a medical activity of nourishing life, strengthening physique and preventing diseases by various methods of original dactylology, thereby prolonging life. When the big data technology is applied to the health preservation field, how to screen out health preservation data meeting the requirements is a technical problem which needs to be solved urgently.
Disclosure of Invention
The embodiment of the invention aims to provide a health-maintenance suitability-based data processing method and device, which can screen out five-organ index data meeting requirements and provide a data basis for health-maintenance suitability analysis based on big data.
In order to achieve the above object, in a first aspect, an embodiment of the present invention provides a data processing method based on health maintenance suitability, including:
acquiring ecological environment data;
obtaining five-organ index data according to the ecological environment data;
comparing the five-organ index data with standard data to obtain a deviation value;
if the deviation value is within a preset value, the five-organ index data are reasonable, and the five-organ data are stored into a historical data set;
and if the deviation value is not within the preset value, listing the five-dirty index data as suspicious data.
As a specific embodiment of the present application, the ecological environment data includes temperature, humidity, air pressure, wind power, wind direction, and precipitation.
As a specific embodiment of the present application, the five-organ index data includes cardiac index data, liver index data, spleen index data, lung index data, and kidney index data.
As a specific implementation manner of the present application, obtaining the five-organ index data according to the ecological environment data specifically includes:
calculating a four-time standard index and a four-time real-time index according to the ecological environment data;
and calculating the heart index data, the liver index data, the spleen index data, the lung index data and the kidney index data according to the four-time standard index and the four-time real-time index.
In a second aspect, an embodiment of the present invention provides a data processing apparatus based on health maintenance suitability, including:
the acquisition module is used for acquiring ecological environment data;
the calculation module is used for obtaining five-organ index data according to the ecological environment data;
a comparison module for:
comparing the five-organ index data with standard data to obtain a deviation value;
if the deviation value is within a preset value, the five-organ index data are reasonable, and the five-organ data are stored into a historical data set;
and if the deviation value is not within the preset value, listing the five-dirty index data as suspicious data.
As a specific implementation manner of the present application, the computing module is specifically configured to:
calculating a four-time standard index and a four-time real-time index according to the ecological environment data;
and calculating the heart index data, the liver index data, the spleen index data, the lung index data and the kidney index data according to the four-time standard index and the four-time real-time index.
In a third aspect, an embodiment of the present invention provides another data processing apparatus based on health-care suitability, including a processor, an input device, an output device, and a memory, where the processor, the input device, the output device, and the memory are connected to each other, and the memory is used to store a computer program, and the computer program includes program instructions. Wherein the processor is configured to invoke the program instructions to perform the method of the first aspect.
By implementing the embodiment of the invention, the ecological environment data is firstly obtained and analyzed to obtain the five-organ index data, and then the five-organ index data is compared with the standard data to obtain the deviation value; if the deviation value is within a preset value, the five-organ index data are reasonable, and the five-organ data are stored into a historical data set; if the deviation value is not within the preset value, the five-organ index data is listed as suspicious data; through the technical scheme, the index data of the five internal organs meeting the requirements can be screened out, and a data basis is provided for health and maintenance suitability analysis based on big data.
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.
FIG. 1 is a flow chart of a data processing method based on health-preserving suitability provided by an embodiment of the invention;
FIG. 2 is a schematic structural diagram of a data processing apparatus based on health-preserving suitability according to an embodiment of the present invention;
fig. 3 is another schematic structural diagram of a data processing apparatus based on health-care suitability according to an 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.
For a better understanding of the embodiments of the present invention, the following description is provided for the related contents:
summary of Chinese medicine
1. Brief summary of the heart-nourishing theory of TCM
Heart nourishing is suitable in summer and is the basis of health preservation, and the heart is the heart; the heart is the power of the human body, and the heart beats day and night to provide continuous power for the human body.
In Huangdi's classic, the "chief complaint means descending and regulating the principle of Ming and then leading to Life by this health preservation" means the heart. According to the traditional Chinese medicine, the heart corresponds to summer qi, and the yang qi of the heart is most vigorous in summer, so that the heart needs to be kept healthy in summer. In TCM, the heart corresponds to the fire in five elements, red in five colors, the tongue in five sense organs and bitter in five flavors, and the summer in four seasons, which is related to the pulse in the body. The heart is the major part of the five zang-organs and six fu-organs, and is the yang-organs of yang, heart governing blood vessels, heart storing spirit, heart governing spirit and clear, which is bloom on the face and opens into the tongue.
In traditional Chinese medicine, the expression "heart stores spirit" means that the heart controls the emotion of a person. Therefore, the mind must be stabilized and calmed down first. The book Huangdi's classic on medicine: the heart is the monarch organ, while if the principal is unknown, the twelve sense organs are in danger. If the heart is not calm, all the zang-fu organs of the human body are in danger. The heart is the main of the five zang organs and the general hub of the whole body, so nourishing the heart is the basis of health preservation.
2. Brief summary of liver-nourishing theory of traditional Chinese medicine
Nourishing liver in spring, the five elements in spring belong to wood, while the liver in five zang organs of human body also belongs to wood, so that the spring qi can dredge the liver. In spring, liver qi is vigorous and ascends, and traditional Chinese medicine considers that the liver is vigorous in spring. In spring, patients with liver disease or recurrence of liver disease are more likely to be encountered than in other seasons. This is because liver qi is vigorous and ascends in spring, and people are refreshed. However, if liver qi is too high or stagnated, liver qi will be damaged easily. For example, emotional distress, hyperactivity of liver yang, increased blood pressure, and apoplexy are also likely to occur in patients with cardiovascular and cerebrovascular diseases. Some patients with liver cirrhosis and portal hypertension are particularly easy to have upper gastrointestinal hemorrhage in spring, which is caused by the fact that the spring is warm, the yang qi rises too much, and the qi and blood circulation is abnormal. According to the traditional Chinese medicine, chronic viral hepatitis is mainly caused by the fact that the pathogenic factors of damp-heat epidemic toxin invade the liver, so that the stagnation of liver qi is caused, and nutrient and blood are affected.
The Huangdi's classic on medicine states that the lying blood of the human body belongs to the liver. Should be "lying at night and getting up early" in spring. The liver is an organ for storing blood, and can nourish the liver blood at night, so that the blood can be stored in the liver for sufficient and comfortable sleep, and people can grow the spirit and vitality by hundreds of times every day; otherwise, liver blood cannot be nourished, liver fire is easy to cause inflammation, and uncomfortable symptoms such as dry mouth and tongue, dizziness, dry eyes and the like can be caused. In traditional culture in china, ancient people refer to sleep as "sleeping food". Work and rest are regular, and daily life is normal, so the liver is nourished.
3. Brief summary of the spleen-nourishing theory of traditional Chinese medicine
The book Huangdi's classic on the plain questions of the interior, Linglan Midian theory, is recorded: the spleen and stomach are responsible for the barn officers and the five flavors are enough. The barn is the function of the spleen and stomach in accepting, transporting and transforming. The spleen is one of the five zang organs and related to the stomach of the six fu organs, and the two are the acquired root, receiving, transporting, transforming food into essence and micro-essence, and supplying to the whole body, wherein the spleen functions as the transportation and transformation, governing blood and governing meat. The spleen of five zang organs is used as the main body to discuss the position and importance of the spleen in the metabolism of five zang organs.
The spleen of the five zang organs corresponds to the earth in the five elements and is related to the stomach in the six fu organs. It is connected with the mouth of five sense organs in the middle of summer, so it can be seen from the spleen. The spleen governs transportation and transformation, governs blood circulation and governs meat. The spleen governs transportation and transformation, i.e., the spleen has the ability of transformation, transportation, digestion and absorption. The food is delicate and delivers the delicate essence to other zang-fu organs and tissues to maintain the physiological functions of the whole body. In addition, when transporting and transforming food and water, the spleen also transports and transforms water-dampness, and the spleen cooperates with the lung, kidney, triple energizer and bladder to maintain the balance of water metabolism.
Nourishing spleen in four seasons, the spleen meridian is the most vigorous when one has got every day, and the spleen meridian is Yu Zhong and Japanese wine when one has got, which means the period from 9 am to 11 am, and at this time, the organ is the spleen. Su Wen (Su Wen) thinks that the spleen governs the muscles of the whole body, so the body-building effect is best when the spleen is left. In the traditional Chinese medicine, the key point of health preservation is that the spleen belongs to the earth of five elements, so that the spleen is the best effect when the spleen is used.
4. Brief summary of lung-nourishing theory of traditional Chinese medicine
In Huang Di Nei Jing, the lung is the "organ of the heart", which is the dominant and honorable status of the adult. It also says that: the lung governs dispersing and descending, is the source of water, opens into the nose, governs fur, and all qi and anger stagnation belong to the lung, worry is sad, nasal discharge is in fluid, fur is in body, and nose is in opening. "
Lung governing air is associated with respiratory function of the lung: the lung is a place for exchanging gas inside and outside the body, and the lung breathes to inhale clear gas in the nature, exhale turbid gas in the body and exhale stale gas to receive fresh gas so as to maintain normal life activities of the human body. The book Su Wen, Yin Yang Ben Bing Lun says: "weather is in the lungs" is this meaning.
Lung governing qi is related to the generation of pectoral qi: the lung is closely related to the generation of pectoral qi, which is formed by the combination of clear qi inhaled by the lung and food essence, and is accumulated in the chest, goes up the throat to govern respiration, and spreads throughout the body through the heart vessels to nourish the viscera and tissues, so the lung plays a role of governing qi of the whole body. The legend of Su Wen, the five Tibetan Generation chapter; all qi belong to the lung. As such. The generation of qi in the human body must depend on the clear qi inhaled by the lung, which has a regulating effect on the qi activity of the whole body. The cultivation of qi deficiency, the smooth regulation of qi reversal, the discharge of turbid qi, and the irrigation of clear qi can all be realized by regulating the function of lung.
5. Summary of Kidney nourishing theory of traditional Chinese medicine
The book Huangdi's internal channel, Su Wen, the chapter of the book of the elephant treatises of six zang (zang) nationalities: the kidney governs the dormancy, seals the root and stores essence. It manifests itself in the hair, filling the bone. The function of life is dominated by kidney qi. When kidney qi is sufficient, human vitality is vigorous, and good fertility is achieved. The kidneys are the reservoirs of essential qi, which is the material basis for the functional activities of the human body. When kidney qi is deficient, essence loss can also occur. In winter when kidney qi dominates, if the maintenance is not careful, these symptoms are more easily manifested.
In Huang Di Nei Jing, Ling Shu and Mai Wei chapter, it is considered that "kidney qi is passed through ears, kidney qi and ears can hear five sounds . The elderly are prone to tinnitus, hearing loss and the like, and are mostly caused by kidney qi decline. In addition, the hair is also clear and lustrous and has a color closely related to the kidney, and the hair grows and falls off, and is rich, moist and withered, which reflects the abundance and insufficiency of qi and blood of the kidney.
The theory of traditional Chinese medicine considers that the winter belongs to water, and the cold qi mainly stores, so that the essence and qi should be nourished firstly in winter, and the kidney is nourished in winter. In winter, the kidney functions normally, and can adjust the body to adapt to the change in severe winter, otherwise, the metabolism is disordered to cause diseases. Therefore, it is important to pay attention to kidney maintenance in winter.
Second and fourth hour health preserving index
1. Spring health index
The aerobic degree spring health-maintaining 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 the following indexes and a result is obtained.
The standard index calculation procedure 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 health is 3X 35% + 4X 50% + 8X 15%
The real-time index calculation consists of:
the 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
Real-time index of spring's health is 2X 10% + 3X 15% + 4X 15% + 5X 60%
2. Generation of summer-friendly index
The oxygen production and summer nutrition-free 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 the following indexes 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 |
The standard index calculation procedure 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 Xiajuyan standard index is 9 × 70% + 6 × 30%
The real-time index calculation consists of:
| 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 |
The real-time index calculation process is 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 Xiajanyang real-time index is 2 × 70% + 6 × 30%
3. Autumn health index generation
The oxygen degree autumn nutrition-suitable index is divided into a real-time index and a standard index, the interval time of the standard index is days, a calculation model is built according to the following indexes, and a result is obtained.
Wind efficiency index:
t: temperature V: wind speed (m/S) S: sunshine, calculated in 6 hours in sunny days
The standard index calculation procedure 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 real-time index calculation consists of:
| index of refraction | Description of the invention |
| Temperature of | Current temperature |
| Wind power | Wind speed, m/s |
| Sunshine | Sunshine condition |
| Latitude | Latitude |
| Altitude (H) level | Altitude (H) level |
| Air pressure | Current air pressure |
The 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%
4. Generation of winter-friendly index
The oxygen production degree winter suitable 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 the following indexes to obtain a result.
Wind efficiency index:
t: temperature V: wind speed (m/S) S: sunshine, calculated in 6 hours in sunny days
The standard index calculation procedure 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 consists of:
| index of refraction | Description of the invention |
| Temperature of | Current temperature |
| Latitude | Latitude |
| Wind speed | Current wind speed |
| Altitude (H) level | Altitude (H) level |
| Air pressure | Current air pressure |
| Sunshine | Current weather phenomenon |
The 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 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
Real-time winter keeping index of 2 × 10% + 3 × 10% + 4 × 10% + 7 × 10% + 8 × 60%
Referring to fig. 1, a data processing method based on health-preserving suitability according to an embodiment of the present invention may include the following steps:
and S101, acquiring ecological environment data.
In particular, the ecological environment data includes temperature, humidity, air pressure, wind direction, and precipitation, and more specific description of this section may refer to the four-time index section previously described.
And S102, obtaining five-organ index data according to the ecological environment data.
S103, comparing the five-organ index data with standard data to obtain a deviation value.
S104, if the deviation value is within a preset value, the five-organ index data are reasonable and are stored in a historical data set; if the deviation value is not within the preset value, the deviation value is listed as suspicious data.
Specifically, in step S102, the five-organ index data includes heart index data, liver index data, spleen index data, lung index data, and kidney index data, and the calculation processes thereof are respectively described as follows:
1. cardiac index data calculation
The summer is the season for nourishing the heart, and the summer is the best time for nourishing the heart when the summer is comfortable. The heart index data comprises a standard index and a real-time index, and the four-time standard index and the four-time real-time index are calculated according to the four-time index part. The specific calculation process of the cardiac index data is then as follows:
(1) standard index of mass
The standard index is obtained by weighted calculation of standard indexes of different four-time indexes, and the calculation process is as follows:
value 1 is a four-hour standard index
Value 2 night temperature-0.55 (1-night humidity) x (night temperature-14.4)
The value 3 ═ 100-ABS (value 2-22) × 6 ÷ 100
The standard index for nourishing heart is 1 × 80% + 3 × 20%
(2) Real time index
The real-time index calculation process is as follows:
value 1 is four-hour real time index
Value 2 night temperature-0.55 (1-night humidity) x (night temperature-14.4)
The value 3 ═ 100-ABS (value 2-22) × 6 ÷ 100
The real-time index of nourishing heart is 1 × 80% + 3 × 20%
2. Liver index data calculation
Spring is the season of nourishing the liver, which is the time of nourishing the liver and gallbladder, and in addition, the traditional Chinese medicine advocates that the spring temperature, the spring divergence and the yin-cold dispelling function are used for supporting yang. Therefore, the calculation of the index also requires the enhancement of the comfort and temperature of the liver and gallbladder over time. The liver index data comprises a standard index and a real-time index, and the four-time standard index and the four-time real-time index are calculated according to the four-time index part. Then, the specific calculation process of the liver index data is as follows:
(1) standard index of mass
The standard index is obtained by weighted calculation of standard indexes of different four-time indexes, and the calculation process is as follows:
value 1 is a four-hour standard index
Value 2 night temperature-0.55 (1-night humidity) x (night temperature-14.4)
The value 3 ═ 100-ABS (value 2-22) × 6 ÷ 100
The standard index of nourishing liver is 1 × 65% + 3 × 35%
(2) Real time index
The real-time index calculation process is as follows:
value 1 is four-hour real time index
The value 2 ═ ABS (temperature-12) ÷ 12X 100%
Value 3 ═ temperature > 12? 1+ value 2:1 — value 2
Real-time index of nourishing liver 1 × value 3
3. Spleen index data calculation
All the seasons can nourish the spleen, which is in the morning and in the afternoon in the year. In the long summer, the period from the light summer to the beginning of autumn is characterized by summer-heat and dampness, while the spleen prefers dryness and dislike of dampness, so that the spleen is the weakest and most easy to nourish in the long summer. The spleen index data comprises a standard index and a real-time index, and the four-hour standard index and the four-hour real-time index are calculated according to the four-hour index part. The specific calculation procedure for spleen index data was then as follows:
(1) standard index of mass
The standard index is obtained by weighted calculation of standard indexes of different four-time indexes, and the calculation process is as follows:
value 1 is a four-hour standard index
Value 2 ═ ABS (humidity-50%)
Value 3 ═ humidity > 50%? 1-value 2:1+ value 2
The standard index of nourishing spleen is 1 × 75% + 3 × 25%
(2) Real time index
The real-time index calculation process is as follows:
value 1 is four-hour real time index
Value 2 ═ ABS (humidity-50%)
Value 3 ═ humidity > 50%? 1-value 2:1+ value 2
Spleen-nourishing real-time index of 1 × 75% + 3 × 25%
4. Lung index data calculation
Autumn is the season of nourishing lung, and nourishing yin and preventing dryness is also a good priority. In autumn, the decline of yang qi and the growth of yin qi make the maintenance of yin qi in vivo become the primary task, while the key of yin nourishing lies in preventing dryness, and the lung nourishing is the best in autumn, but the humidity decline in autumn also damages the lung nourishing, so the calculation of the index also needs to implement the principle of preventing dryness, the AQI index of air also directly influences the lung, and therefore the calculation also needs to be added.
The lung index data comprises a standard index and a real-time index, and the four-time standard index and the four-time real-time index are calculated according to the four-time index part. Then, the specific calculation process of the lung index data is as follows:
(1) standard index of mass
The standard index is obtained by weighted calculation of standard indexes of different four-time indexes, and the calculation process is as follows:
value 1 is a four-hour standard index
Value 2 ═ ABS (humidity-50%)
Value 3 ═ humidity > 50%? 1+ value 2:1 — value 2
The value 4 ═ 400-AQI ÷ 400X 100%
The standard index of nourishing lung is 1 × 3 × 60% + 4 × 40%
(2) Real time index
The real-time index calculation process is as follows:
value 1 is four-hour real time index
Value 2 ═ ABS (humidity-50%)
Value 3 ═ humidity > 50%? 1+ value 2:1 — value 2
The value 4 ═ 400-AQI ÷ 400X 100%
Lung-nourishing real-time index of 1 × 3 × 60% + 4 × 40%
5. Kidney index data calculation
In winter, the kidney is the season of nourishing kidney, the kidney is the root of yin and yang of viscera, the source of life, called congenital root, is mainly stored, and in winter, the kidney should be carefully nourished in winter to avoid cold erosion.
The kidney index data comprises a standard index and a real-time index, and the four-time standard index and the four-time real-time index are calculated according to the four-time index part. Then, the specific calculation process of the lung index data is as follows:
(1) standard index of mass
The standard index is obtained by weighted calculation of standard indexes of different four-time indexes, and the calculation process is as follows:
value 1 is a four-hour standard index
Value 2 temperature-0.55 (1-humidity) x (temperature-15.4)
The value 3 ═ 100-ABS (value 1-22) × 6 ÷ 100
The standard index for kidney nourishing is 1 × 60% + 3 × 40%
(2) Real time index
The real-time index calculation process is as follows:
value 1 is four-hour real time index
Value 2 temperature-0.55 (1-humidity) x (temperature-15.4)
The value 3 ═ 100-ABS (value 1-22) × 6 ÷ 100
Real-time kidney-nourishing index is 1 × 60% + 3 × 40%
By implementing the data processing method based on health-preserving suitability provided by the embodiment of the invention, the five-organ index data meeting the requirements can be screened out, and a data basis is provided for health-preserving suitability analysis based on big data.
Based on the same inventive concept, the embodiment of the invention also provides a data processing device based on health-care suitability. As shown in fig. 2, the apparatus may include: one or more processors 101, one or more input devices 102, one or more output devices 103, and memory 104, the processors 101, input devices 102, output devices 103, and memory 104 being interconnected via a bus 105. The memory 104 is used for storing a computer program comprising program instructions, the processor 101 being configured for invoking the program instructions for performing the steps in the above-described method embodiments.
It should be understood that, in the embodiment of the present invention, the Processor 101 may be a Central Processing Unit (CPU), and the Processor may also be other general purpose processors, Digital Signal Processors (DSPs), Application Specific Integrated Circuits (ASICs), Field Programmable Gate Arrays (FPGAs) or other Programmable logic devices, discrete Gate or transistor logic devices, discrete hardware components, and the like. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The input device 102 may include a keyboard or the like, and the output device 103 may include a display (LCD or the like), a speaker, or the like.
The memory 104 may include read-only memory and random access memory, and provides instructions and data to the processor 101. A portion of the memory 104 may also include non-volatile random access memory. For example, the memory 104 may also store device type information.
Alternatively, in another preferred embodiment of the present invention, as shown in fig. 3, the data processing device based on health-care suitability includes:
the acquisition module 10 is used for acquiring ecological environment data;
the calculation module 11 is used for obtaining five-organ index data according to the ecological environment data;
an alignment module 12, configured to:
comparing the five-organ index data with standard data to obtain a deviation value;
if the deviation value is within a preset value, the five-organ index data are reasonable, and the five-organ data are stored into a historical data set;
and if the deviation value is not within the preset value, listing the five-dirty index data as suspicious data.
As a specific embodiment of the present application, the calculating module 11 is specifically configured to:
calculating a four-time standard index and a four-time real-time index according to the ecological environment data;
and calculating the heart index data, the liver index data, the spleen index data, the lung index data and the kidney index data according to the four-time standard index and the four-time real-time index.
It should be noted that, for a specific work flow of the analysis apparatus according to the embodiment of the present invention, please refer to the foregoing method embodiment, which is not described herein again.
By implementing the data processing device based on the health-care suitability, the five-organ index data meeting the requirements can be screened out, and a data basis is provided for health-care suitability analysis based on big data.
While the invention has been described with reference to specific embodiments, the invention is not limited thereto, and various equivalent modifications and substitutions can be easily made by those skilled in the art within the technical scope of the invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (9)
1. A data processing method based on health-care suitability is characterized by comprising the following steps:
acquiring ecological environment data;
obtaining five-organ index data according to the ecological environment data;
comparing the five-organ index data with standard data to obtain a deviation value;
if the deviation value is within a preset value, the five-organ index data are reasonable, and the five-organ data are stored into a historical data set;
and if the deviation value is not within the preset value, listing the five-dirty index data as suspicious data.
2. A health suitability-based data processing method according to claim 1 wherein the ecological environment data comprises temperature, humidity, air pressure, wind power, wind direction and precipitation.
3. The method of claim 2, wherein the five-organ index data comprises cardiac index data, liver index data, spleen index data, lung index data, and kidney index data.
4. The health-preserving suitability-based data processing method as claimed in claim 3, wherein obtaining the five-organ index data from the ecological environment data specifically comprises:
calculating a four-time standard index and a four-time real-time index according to the ecological environment data;
and calculating the heart index data, the liver index data, the spleen index data, the lung index data and the kidney index data according to the four-time standard index and the four-time real-time index.
5. A data processing apparatus based on health maintenance suitability, comprising:
the acquisition module is used for acquiring ecological environment data;
the calculation module is used for obtaining five-organ index data according to the ecological environment data;
a comparison module for:
comparing the five-organ index data with standard data to obtain a deviation value;
if the deviation value is within a preset value, the five-organ index data are reasonable, and the five-organ data are stored into a historical data set;
and if the deviation value is not within the preset value, listing the five-dirty index data as suspicious data.
6. A health suitability-based data processing apparatus according to claim 5 wherein the ecological environment data comprises temperature, humidity, air pressure, wind power, wind direction and precipitation.
7. The wellness suitability-based data processing device of claim 6, wherein the five-organ index data comprises cardiac index data, liver index data, spleen index data, lung index data, and kidney index data.
8. A health suitability-based data processing apparatus according to claim 7 wherein the calculation module is specifically configured to:
calculating a four-time standard index and a four-time real-time index according to the ecological environment data;
and calculating the heart index data, the liver index data, the spleen index data, the lung index data and the kidney index data according to the four-time standard index and the four-time real-time index.
9. A health-support-suitability-based data processing apparatus comprising a processor, an input device, an output device, and a memory, the processor, the input device, the output device, and the memory being interconnected, the memory being configured to store a computer program comprising program instructions, the processor being configured to invoke the program instructions to perform the method of any one of claims 1-7.
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