CN110597869A - Mother and infant health care information intelligent multi-correlation query analysis method and device - Google Patents
Mother and infant health care information intelligent multi-correlation query analysis method and device Download PDFInfo
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- 238000004458 analytical method Methods 0.000 title claims abstract description 109
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- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/245—Query processing
- G06F16/2455—Query execution
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
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Abstract
The patent provides an intelligent multiple-association query analysis method for maternal and infant health care information. When inquiring, the inquiry result set comprises the optimal inquiry result, the substitute inquiry result and the extension inquiry result. The patent also provides an intelligent multiple-association query analysis device for the maternal and infant health care information, which consists of a receiving unit, an intelligent multiple-association query analysis unit, a generating unit, a network communication unit, an output unit, a storage unit and a control unit. The query analysis method and the query analysis device can be used for simply and conveniently analyzing the quality of the milk components at any time and guiding the mother to supplement reasonable nutrition. And acquiring a health improvement scheme or suggestion aiming at the individual health examination index. And various problems of people can be solved, and mother and infant health care experts are associated to implement point-to-point professional manual guidance.
Description
Technical Field
The patent relates to the field of mother-infant health-care information intelligent multiple-association query analysis methods and devices, in particular to a mother-infant health-care information intelligent multiple-association query analysis method and device which intelligently and multiply analyzes, optimizes and filters mother-infant health-care knowledge, associates multiple related dimension information bases and guides mother-infant health care, health detection and accompanying nursing.
Background
Although the modern society has many ways to teach parents of newborns about pregnancy preparation, perinatal, newborn nursing, infant nurturing and healthy growth of preschool children, parents of newborns still have various problems of leading hands to be overwhelmed and burnt, which indicates that the existing teaching ways still have the following problems:
parents of newborn babies are easily put in embarrassment of not knowing what happens, not knowing how to deal with the solution, and not knowing how to optimize the improvement due to lack of experience in raising and nursing the baby. In the face of various fresh and troublesome problems, the ancestors are often called for, but either the water is far away from thirst or the ancestors are lost due to the newborn things. People then turn to the internet, but in the face of thousandths and even contradictory countermeasures, parents of newborns often fall into the dilemma of being inextricable and not choosing how to get away.
Thus, it is often seen that some unknown parents foster their children with unscientific childcare, even doing things that could harm the child, and some inevitable tragedies, often coming up with the unknown parents of newborn babies.
In order to guide ordinary people to correctly nurture the baby, the basic medical institution generally sets up a mother-infant health consultation outpatient service and popularizes the baby nursing knowledge by developing the home visit of the baby. However, the method has little effect on improving the health care level of mother and infant, so that people can not be found when help is needed, or consultation flows in form and cannot meet the actual needs of ordinary families due to the limitation of knowledge structures of basic-level outpatient staff. This actually creates a significant waste of social resources.
During the prenatal examination of pregnant women and the regular physical examination of infants, a large number of terms, terms and knowledge make people feel foggy in the cloud and unclear. The health indexes of weak items in the self health examination are not known how to improve and condition the daily diet.
Milk feeding and milk substitutes are the key points for healthy growth of infants, but because ordinary families lack means for evaluating the quality of milk, whether the nutrient content in the milk is matched with the growth of the infants cannot be known. Effective measures cannot be taken in the aspects of nutrition intake of mothers and disease prevention and treatment. Most families simply want to blindly ingest a large amount of nutrients, unnecessarily causing a huge change in the mother's size. On the other hand, after the mother gets ill, the mother often refuses the drug therapy because the milk is worried about the drug invasion to affect the health of the infant, and the mother and the infant adversely affect the health.
Disclosure of Invention
In view of the above, the present invention provides a method and a device for intelligently and multiply associating, inquiring and analyzing mother-infant health care information, which aims to solve various problems that may be encountered in the stages of pregnancy preparation, perinatal, newborn nursing, infant nurturing and preschool health growth of children by using the experience and knowledge of infant nurses as a basis and by using intelligent analysis as a means. And intelligently analyzing specific health examination indexes, and providing a corresponding index improvement scheme or improvement suggestion to guide parents of the newborn to scientifically breed the newborn. The quality of the milk can be simply and conveniently evaluated and analyzed at any time, the mother can be guided to scientifically and reasonably supplement nutrition, and sufficient nutrient elements are provided for the healthy growth of the infants.
In order to solve the technical problem, the technical scheme of the patent is as follows:
an intelligent multiple correlation query analysis method for maternal and infant health care information, comprising the following steps:
information is divided into a number of different categories by topic, denoted T1, T2, T3. Each class contains different data attributes, denoted M1, M2, M3. Information mining weights of different dimensions are set and are marked as V1, V2, V3.. For each piece of information D, the classification flag (T), the attribute flag (M), the alternative classification flag (TR), the alternative attribute flag (MR), the extension classification flag (TE), the extension attribute flag (ME), and the weight flag (V) are included, that is, D may be expressed as:
[D]＝[T][M1，M2，M3....Mn][TR1，TR2，TR3....TRn][MR1，MR2，MR3....MRn][TE1，TE2，TE3....TEn][ME1，ME2，ME3....MEn][V1，V2，V3....Vn]。
an index table DS is constructed, DS ═ D1, [ D2, [ D3.
When querying information; abstracting (Tx, Mx, Vx) from the key word K; retrieving [ Dx ] from DS; then, retrieving (TRx, MRx, Vx) to obtain alternative data [ DRx ]; from (TE1, TE2, TE3.. TEn, ME1, ME2, ME3.. MEn, Vx), the cited data [ DE1], [ DE2], [ DE 3. [ DEn ] are retrieved; namely, the query result is:
S(K)＝[Dx][DRx][DE1]，[DE2]，[DE3]....[DEn]。
an intelligent multiple-association inquiry and analysis device for maternal and infant health care information comprises a receiving unit, an intelligent multiple-association inquiry and analysis unit, a generating unit, a network communication unit, an output unit, a storage unit and a control unit.
The receiving unit comprises a milk sample receiving module, a sound receiving module, an image receiving module, a user instruction receiving module, a network data receiving module and a sensor module.
The milk sample receiving module is used for receiving a micro milk sample of breast milk or breast milk substitute; the sound receiving module is used for receiving voice and noise; the image receiving module is used for receiving image information of visible light and infrared rays, and the image information can be a static image or a video image; the user instruction receiving module is used for receiving various control instructions input by a user through the control interface; the network data receiving module is used for receiving network data sent by a cloud or an intelligent terminal through a wired or wireless network; the sensor module is used for receiving the temperature, the humidity, the pressure, the wind power, the wind direction and the air quality of the environment where the device is located.
The intelligent multiple correlation query analysis unit comprises a milk sample analysis module, a sound analysis module, a semantic analysis module, an image analysis module, an intelligent terminal data analysis module, a sensor analysis module and an intelligent multiple correlation query analysis module.
The milk sample analysis module is used for analyzing the milk sample data transmitted by the milk sample receiving module, and the milk comprises colostrums, transitional milk, mature milk, late milk and various breast milk substitutes of the breast milk. The nutritional ingredient information includes contents of protein, casein, lactalbumin, lactoglobulin, fat, unsaturated fat, lactose, minerals, trace elements, vitamins, etc.
The sound analysis module is used for analyzing the sound received by the sound receiving module, wherein the sound includes voice and noise. The voice analysis module transcodes the voice, identifies the voice, converts a voice signal into voice content and analyzes the special attribute of the parent voice; identifying the crying sound of the infant, and analyzing the desire, mental state, health state, emergency and the like of the infant according to the crying sound; various abnormal sounds are identified, and the various abnormal sounds are associated with the environmental condition changes.
The semantic analysis module is used for analyzing the voice content identified by the voice analysis module and converting the real meaning transmitted in the voice content into a form of digital information.
The image analysis module is used for analyzing the image information received by the image receiving module, recognizing people and changes of behaviors, postures, states and positions of the people from the image information, and recognizing three-dimensional characteristics of faces and heads of the people; identifying the object and the change of the state of the object; and identifying the environment of the device and analyzing and judging the environment state.
The intelligent terminal data analysis module is used for analyzing the data sent by the intelligent terminal and received by the network data receiving module, extracting the mother and infant health information contained in the data, and analyzing the deviation of the mother and infant health information and standard data.
The sensor analysis module is used for analyzing the temperature, humidity, pressure, wind power, wind direction and air quality information of the environment where the device is located.
The intelligent multiple correlation query analysis module is used for referring to the information stored in the storage unit according to the analysis result of the milk sample analysis module, the analysis result of the sound analysis module, the analysis result of the semantic analysis module, the analysis result of the image analysis module and the analysis result of the sensor analysis module, accurately matching the personal characteristics of the user by using the intelligent multiple correlation query analysis method of the maternal and infant health care information, optimizing the query result and carrying out intelligent multiple correlation query analysis.
The generating unit comprises a virtual character generating module, a virtual character behavior generating module, a voice generating module and a health scheme generating module.
The virtual character generation module is used for generating a virtual character image according to the three-dimensional characteristics of the face and the head of the character identified by the image analysis module. And the virtual character behavior generating module is used for generating the action information of the virtual character generated by the virtual character generating module according to the human body action information stored in the storage unit. The voice generating module is used for dynamically generating simulated voice of the father and the mother according to the special attribute of the father and the mother voice analyzed by the voice analyzing module; the voice generating module can dynamically synthesize voice according to the voice stored in the storage unit. The health scheme generation module is used for generating an exclusive health scheme aiming at the health state of the mother and the infant according to the analysis result of the intelligent multiple correlation query analysis unit.
The network communication unit comprises an intelligent terminal communication module and a cloud communication module.
And the intelligent terminal communication module is used for realizing data transmission with various intelligent terminals through wired and wireless networks. The cloud communication module is used for sending and receiving data with a public cloud and a private cloud.
The output unit comprises a sound output module, an image output module and a data output module.
And the sound output module is used for outputting the voice generated by the voice generation module, the audio stored in the storage unit and the audio received by the network data receiving module through the device. And the image output module is used for displaying the virtual character image, behavior and action, health scheme and the like generated by the generating unit through a screen, projection or other intelligent terminals of the device. And the data output module is used for outputting data to a cloud end and other intelligent terminals through the network communication unit.
The storage unit comprises a mother and infant health information storage module, a mother and infant health index storage module, a mother and infant health knowledge base module, a health nutrition diet scheme module and a virtual character storage module.
The mother and infant health information storage module is used for storing milk component information, mother and infant health monitoring information, mother and infant medical record medication information, infant living and living information and the like; the mother and infant health index storage module is used for storing body health index information and health index improvement measure information of each stage of the mother and infant; the mother and infant health knowledge base module is used for storing knowledge, methods, condition treatment and the like related to each stage of pregnancy, childbirth and infant nurturing; the healthy nutritional diet scheme module is used for storing the nutritional composition, the eating method, the eating relationship and the like of various foods; the virtual character storage module is used for storing the virtual character image generated by the virtual character generation module, the virtual character behavior generated by the virtual character behavior generation module and the virtual character voice generated by the voice generation module.
The control unit comprises an action control unit and an intelligent terminal control unit.
The motion control unit is used for controlling the motion and rotation of the mother and infant health care information intelligent multi-correlation query analysis device; and the intelligent terminal control unit is used for being connected with other intelligent terminals through the network communication unit and sending control instructions to the intelligent terminals.
Because the patent adopts the mother-infant health care information intelligent multi-correlation query analysis method and the device, the following beneficial effects can be obtained:
when parents of newborn babies encounter problems in nursing and raising the baby, by using the method and device disclosed in the patent, it is easily known what happens, how to deal with the solution, and how to further optimize the improvement. The pressure of primary medical institutions on the aspect of mother and infant health care work can be reduced while the practical problems encountered by parents of newborn infants are effectively solved in time, and social resources are utilized more scientifically and reasonably. Through scientific interpretation of various health monitoring indexes, particularly accurate evaluation of milk quality, parents of the newborn can be guided to take more targeted measures in the aspects of nutrition intake and disease prevention and treatment.
Drawings
The patent is further described below with reference to the drawings and examples.
FIG. 1 is a schematic diagram of an information association flow of an intelligent multiple association query analysis method for maternal and infant health care information in the patent embodiment;
FIG. 2 is a schematic view of an information correlation query flow of an intelligent multiple correlation query analysis method for maternal and infant health care information in the embodiment of the patent;
FIG. 3 is a structural diagram of an intelligent multiple correlation query analysis device for maternal and infant health care information in the embodiment of the patent;
Detailed Description
Fig. 1 is a schematic diagram of an information association flow of an intelligent multiple association query analysis method for maternal and infant health care information in the embodiment of the present patent.
Step 101, dividing the information into a plurality of different categories according to the theme, and recording the categories as T1, T2 and T3. Steps 102, each class contains different data attributes, denoted M1, M2, M3. And (5) step 103, setting information acquisition weights of different dimensions, namely V1, V2 and V3.. Step 104, for each piece of information D, includes a classification flag (T), an attribute flag (M), a substitute classification flag (TR), a substitute attribute flag (MR), a continuation classification flag (TE), a continuation attribute flag (ME), and a weight flag (V), that is, D may be expressed as:
[D]＝[T][M1，M2，M3....Mn][TR1，TR2，TR3....TRn][MR1，MR2，MR3....MRn][TE1，TE2，TE3....TEn][ME1，ME2，ME3....MEn][V1，V2，V3....Vn]。
step 105, an index table DS is constructed, DS ═ D1, [ D2], [ D3.
Fig. 2 is a schematic diagram of an information association query flow of an intelligent multiple association query analysis method for maternal and infant health care information in the embodiment of the present patent.
Step 201, when inquiring information; a step 202, abstracted by the key word K (Tx, Mx, Vx); step 203, retrieving [ Dx ] from the DS; step 204, and then (TRx, MRx, Vx) searches to obtain substitute data [ DRx ]; step 205, retrieving the reiterated data [ DE1], [ DE2], [ DE3]. No. [ DEn ] from (TE1, TE2, TE3.. TEn, ME1, ME2, ME3.. MEn, Vx); step 206, that is, the query result is: s (k) ([ Dx ] [ DRx ] [ DE1], [ DE2], [ DE 3. [ DEn ].
Fig. 3 is a structural diagram of an intelligent multiple-association query analysis device for maternal and infant health care information in the embodiment of the present patent.
The device comprises a receiving unit 301, an intelligent multiple correlation query analysis unit 302, a generation unit 303, a network communication unit 304, an output unit 305, a storage unit 306 and a control unit 307.
The receiving unit 301 includes a milk sample receiving module, a sound receiving module, an image receiving module, a user instruction receiving module, a network data receiving module, and a sensor module.
The milk sample receiving module is used for receiving a micro milk sample of breast milk or breast milk substitute; the sound receiving module is used for receiving voice and noise; the image receiving module is used for receiving image information of visible light and infrared rays, and the image information can be a static image or a video image; the user instruction receiving module is used for receiving various control instructions input by a user through the control interface; the network data receiving module is used for receiving network data sent by a cloud or an intelligent terminal through a wired or wireless network; the sensor module is used for receiving the temperature, the humidity, the pressure, the wind power, the wind direction and the air quality of the environment where the device is located.
The intelligent multiple correlation query analysis unit 302 includes a milk sample analysis module, a sound analysis module, a semantic analysis module, an image analysis module, an intelligent terminal data analysis module, a sensor analysis module, and an intelligent multiple correlation query analysis module.
The milk sample analysis module is used for analyzing the milk sample data transmitted by the milk sample receiving module, and the milk comprises colostrums, transitional milk, mature milk, late milk and various breast milk substitutes of the breast milk. The nutritional ingredient information includes contents of protein, casein, lactalbumin, lactoglobulin, fat, unsaturated fat, lactose, minerals, trace elements, vitamins, etc.
The sound analysis module is used for analyzing the sound received by the sound receiving module, wherein the sound includes voice and noise. The voice analysis module transcodes the voice, identifies the voice, converts a voice signal into voice content and analyzes the special attribute of the parent voice; identifying the crying sound of the infant, and analyzing the desire, mental state, health state, emergency and the like of the infant according to the crying sound; various abnormal sounds are identified, and the various abnormal sounds are associated with the environmental condition changes.
The semantic analysis module is used for analyzing the voice content identified by the voice analysis module and converting the real meaning transmitted in the voice content into a form of digital information.
The image analysis module is used for analyzing the image information received by the image receiving module, recognizing people and changes of behaviors, postures, states and positions of the people from the image information, and recognizing three-dimensional characteristics of faces and heads of the people; identifying the object and the change of the state of the object; and identifying the environment of the device and analyzing and judging the environment state.
The intelligent terminal data analysis module is used for analyzing the data sent by the intelligent terminal and received by the network data receiving module, extracting the mother and infant health information contained in the data, and analyzing the deviation of the mother and infant health information and standard data.
The sensor analysis module is used for analyzing the temperature, humidity, pressure, wind power, wind direction and air quality information of the environment where the device is located.
The intelligent multiple correlation query analysis module is used for referring to the information stored in the storage unit according to the analysis result of the milk sample analysis module, the analysis result of the sound analysis module, the analysis result of the semantic analysis module, the analysis result of the image analysis module and the analysis result of the sensor analysis module, accurately matching the personal characteristics of the user by using the intelligent multiple correlation query analysis method of the maternal and infant health care information, optimizing the query result and carrying out intelligent multiple correlation query analysis.
The generating unit 303 includes a virtual character generating module, a virtual character behavior generating module, a voice generating module, and a health plan generating module.
The virtual character generation module is used for generating a virtual character image according to the three-dimensional characteristics of the face and the head of the character identified by the image analysis module. And the virtual character behavior generating module is used for generating the action information of the virtual character generated by the virtual character generating module according to the human body action information stored in the storage unit. The voice generating module is used for dynamically generating simulated voice of the father and the mother according to the special attribute of the father and the mother voice analyzed by the voice analyzing module; the voice generating module can dynamically synthesize voice according to the voice stored in the storage unit. The health scheme generation module is used for generating an exclusive health scheme aiming at the health state of the mother and the infant according to the analysis result of the intelligent multiple correlation query analysis unit.
The network communication unit 304 includes an intelligent terminal communication module and a cloud communication module.
And the intelligent terminal communication module is used for realizing data transmission with various intelligent terminals through wired and wireless networks. The cloud communication module is used for sending and receiving data with a public cloud and a private cloud.
The output unit 305 includes a sound output module, an image output module, and a data output module.
And the sound output module is used for outputting the voice generated by the voice generation module, the audio stored in the storage unit and the audio received by the network data receiving module through the device. And the image output module is used for displaying the virtual character image, behavior and action, health scheme and the like generated by the generating unit through a screen, projection or other intelligent terminals of the device. And the data output module is used for outputting data to a cloud end and other intelligent terminals through the network communication unit.
The storage unit 306 comprises a mother and infant health information storage module, a mother and infant health index storage module, a mother and infant health knowledge base module, a health nutrition diet scheme module and a virtual character storage module.
The mother and infant health information storage module is used for storing milk component information, mother and infant health monitoring information, mother and infant medical record medication information, infant living and living information and the like; the mother and infant health index storage module is used for storing body health index information and health index improvement measure information of each stage of the mother and infant; the mother and infant health knowledge base module is used for storing knowledge, methods, condition treatment and the like related to each stage of pregnancy, childbirth and infant nurturing; the healthy nutritional diet scheme module is used for storing the nutritional composition, the eating method, the eating relationship and the like of various foods; the virtual character storage module is used for storing the virtual character image generated by the virtual character generation module, the virtual character behavior generated by the virtual character behavior generation module and the virtual character voice generated by the voice generation module.
The control unit 307 includes an action control unit and an intelligent terminal control unit.
The motion control unit is used for controlling the motion and rotation of the mother and infant health care information intelligent multi-correlation query analysis device; and the intelligent terminal control unit is used for being connected with other intelligent terminals through the network communication unit and sending control instructions to the intelligent terminals.
In summary, the patent provides a maternal-infant health information intelligent multiple association query analysis method and device, which is based on the experience and knowledge of infant nurturing experts and by means of intelligent analysis, and solves various problems that the parents of the newborn may encounter in the stages of pregnancy preparation, perinatal period, newborn nursing period, infant nurturing period and preschool child healthy growth. And intelligently analyzing specific health examination indexes, and providing a corresponding index improvement scheme or improvement suggestion to guide parents of the newborn to scientifically breed the newborn. The quality of the milk can be simply and conveniently evaluated and analyzed at any time, the mother can be guided to scientifically and reasonably supplement nutrition, and sufficient nutrient elements are provided for the healthy growth of the infants.
The above description is only a preferred embodiment of the present patent, and is not intended to limit the scope of the present patent. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present patent shall be included in the protection scope of the present patent.
Claims (10)
1. An intelligent multiple correlation query analysis method for maternal and infant health care information is characterized in that the intelligent multiple correlation query analysis method comprises the following steps:
dividing the information into a plurality of different classifications according to topics, namely T1, T2 and T3.. Tn; each class contains different data attributes, denoted M1, M2, M3.. Mn; setting information acquiring weights of different dimensions, namely V1, V2 and V3... Vn; for each piece of information D, the classification flag (T), the attribute flag (M), the alternative classification flag (TR), the alternative attribute flag (MR), the extension classification flag (TE), the extension attribute flag (ME), and the weight flag (V) are included, that is, D may be expressed as:
[D]＝[T][M1，M2，M3....Mn][TR1，TR2，TR3....TRn][MR1，MR2，MR3....MRn][TE1，TE2，TE3....TEn][ME1，ME2，ME3....MEn][V1，V2，V3....Vn]；
an index table DS is constructed, DS ═ D1, [ D2, [ D3.
2. The method of claim 1, wherein when querying information, (Tx, Mx, Vx) is abstracted from the keyword K; retrieving [ Dx ] from DS; then, retrieving (TRx, MRx, Vx) to obtain alternative data [ DRx ]; from (TE1, TE2, TE3.. TEn, ME1, ME2, ME3.. MEn, Vx), the cited data [ DE1], [ DE2], [ DE 3. [ DEn ] are retrieved; namely, the query result is:
S(K)＝[Dx][DRx][DE1]，[DE2]，[DE3]....[DEn]。
3. an intelligent multiple-association inquiry and analysis device for maternal and infant health care information is characterized by comprising a receiving unit, an intelligent multiple-association inquiry and analysis unit, a generating unit, a network communication unit, an output unit, a storage unit and a control unit;
further, the receiving unit comprises a milk sample receiving module, a sound receiving module, an image receiving module, a user instruction receiving module, a network data receiving module and a sensor module;
furthermore, the intelligent multiple correlation query analysis unit comprises a milk sample analysis module, a sound analysis module, a semantic analysis module, an image analysis module, an intelligent terminal data analysis module, a sensor analysis module and an intelligent multiple correlation query analysis module;
further, the generating unit comprises a virtual character generating module, a virtual character behavior generating module, a voice generating module and a health scheme generating module;
further, the network communication unit comprises an intelligent terminal communication module and a cloud communication module;
further, the output unit comprises a sound output module, an image output module and a data output module;
further, the storage unit comprises a mother and infant health information storage module, a mother and infant health index storage module, a mother and infant health knowledge base module, a health nutrition diet scheme module and a virtual character storage module;
furthermore, the control unit comprises an action control unit and an intelligent terminal control unit.
4. The apparatus of claim 3,
further, the milk sample receiving module is used for receiving a micro milk sample of breast milk or breast milk substitute milk; the sound receiving module is used for receiving voice and noise; the image receiving module is used for receiving image information of visible light and infrared rays, and the image information can be a static image or a video image; the user instruction receiving module is used for receiving various control instructions input by a user through the control interface; the network data receiving module is used for receiving network data sent by a cloud or an intelligent terminal through a wired or wireless network; the sensor module is used for receiving the temperature, the humidity, the pressure, the wind power, the wind direction and the air quality of the environment where the device is located.
5. The apparatus of claim 3,
further, the milk sample analysis module is configured to analyze the milk sample data transmitted by the milk sample receiving module, where the milk includes colostrum, transitional milk, mature milk, late milk of breast milk, and various breast milk substitutes; the nutritional ingredient information comprises contents of protein, casein, lactalbumin, lactoglobulin, fat, unsaturated fat, lactose, minerals, microelements, vitamins, etc.;
further, the sound analysis module is used for analyzing the sound received by the sound receiving module, including voice and noise; the voice analysis module transcodes the voice, identifies the voice, converts a voice signal into voice content and analyzes the special attribute of the parent voice; identifying the crying sound of the infant, and analyzing the desire, mental state, health state, emergency and the like of the infant according to the crying sound; identifying various abnormal sounds, and associating the various abnormal sounds with the environmental condition change;
furthermore, the semantic analysis module is used for analyzing the voice content identified by the voice analysis module and converting the real meaning transmitted in the voice content into a form of digital information;
further, the image analysis module is used for analyzing the image information received by the image receiving module, recognizing the person and the change of the behavior, the posture, the state and the position of the person from the image information, and recognizing the three-dimensional characteristics of the face and the head of the person; identifying the object and the change of the state of the object; identifying the environment of the device and analyzing and judging the environment state;
furthermore, the intelligent terminal data analysis module is used for analyzing the data sent by the intelligent terminal and received by the network data receiving module, extracting the mother and infant health information contained in the data, and analyzing the deviation of the mother and infant health information from standard data;
further, the sensor analysis module is used for analyzing the temperature, humidity, pressure, wind power, wind direction and air quality information of the environment where the device is located;
furthermore, the intelligent multiple correlation query analysis module is configured to refer to the information stored in the storage unit according to the analysis result of the milk sample analysis module, the analysis result of the sound analysis module, the analysis result of the semantic analysis module, the analysis result of the image analysis module, and the analysis result of the sensor analysis module, and perform intelligent multiple correlation query analysis by using the intelligent multiple correlation query analysis method for maternal and infant health care information to accurately match the personal characteristics of the user, optimize the query result, and perform intelligent multiple correlation query analysis.
6. The apparatus of claim 3,
further, the virtual character generation module is used for generating a virtual character image according to the three-dimensional features of the face and the head of the character identified by the image analysis module; the virtual character behavior generating module is used for generating the action information of the virtual character generated by the virtual character generating module according to the human body action information stored in the storage unit;
further, the voice generating module is used for dynamically generating the simulated voice of the parent according to the special attribute of the parent voice analyzed by the voice analyzing module; the voice generating module can dynamically synthesize voice according to the voice stored in the storage unit;
further, the health scheme generation module is configured to generate an exclusive health scheme for the health states of the mother and the infant according to an analysis result of the intelligent multiple association query analysis unit.
7. The device of claim 3, further comprising the intelligent terminal communication module, configured to implement data transmission with various intelligent terminals through a wired or wireless network; the cloud communication module is used for sending and receiving data with a public cloud and a private cloud.
8. The apparatus according to claim 3, wherein the sound output module is configured to output, by the apparatus, the voice generated by the voice generation module, the audio stored in the storage unit, and the audio received by the network data receiving module; the image output module is used for presenting the virtual character, behavior and action, health scheme and the like generated by the generating unit through a screen, projection or other intelligent terminals of the device; and the data output module is used for outputting data to a cloud end and other intelligent terminals through the network communication unit.
9. The device of claim 3, further comprising a mother-infant health information storage module for storing milk composition information, mother-infant health monitoring information, mother-infant medical record medication information, infant living information, and the like; the mother and infant health index storage module is used for storing body health index information and health index improvement measure information of each stage of the mother and infant; the mother and infant health knowledge base module is used for storing knowledge, methods, condition treatment and the like related to each stage of pregnancy, childbirth and infant nurturing; the healthy nutritional diet scheme module is used for storing the nutritional composition, the eating method, the eating relationship and the like of various foods; the virtual character storage module is used for storing the virtual character image generated by the virtual character generation module, the virtual character behavior generated by the virtual character behavior generation module and the virtual character voice generated by the voice generation module.
10. The device of claim 3, further comprising an action control unit for controlling the movement and rotation of the maternal and infant health information intelligent multi-correlation query analysis device; and the intelligent terminal control unit is used for being connected with other intelligent terminals through the network communication unit and sending control instructions to the intelligent terminals.
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| US20080118615A1 (en) * | 2004-09-10 | 2008-05-22 | Medela Holding Ag | Method for Analysing and Treating Human Milk and System Therefore |
| CN107491857A (en) * | 2017-07-04 | 2017-12-19 | 上海儒曜贸易有限公司 | Intelligent Infants'feeding method and system |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20080118615A1 (en) * | 2004-09-10 | 2008-05-22 | Medela Holding Ag | Method for Analysing and Treating Human Milk and System Therefore |
| CN107491857A (en) * | 2017-07-04 | 2017-12-19 | 上海儒曜贸易有限公司 | Intelligent Infants'feeding method and system |
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