CN113257405B - Processing system based on sensor gathers nutrition data - Google Patents
Processing system based on sensor gathers nutrition data Download PDFInfo
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Abstract
The invention relates to a processing system for acquiring nutritional data based on a sensor, which comprises a sensor array, a data acquisition module and a data processing module, wherein the sensor array is used for acquiring in-vivo nutritional data; the display screen is used for displaying the supplement frequency of the nutrient solution and the osmotic strength of the nutrient solution according to the processing result of the nutrient data in vivo; the processor comprises a storage unit and a central control unit, and the central control unit is used for processing the acquired data; the in vivo nutrition data that the sensor array gathered transmit to the display screen through this network, the treater transmits the processing result to the display screen through this network, carry out the collection of in vivo nutrition data through the sensor array, the in vivo nutrition data after will gathering draws, the treater carries out the triple adjustment that progressively to in vivo nutrition data, confirm the abnormal conditions of in vivo nutrition data, and then confirm the replenishment frequency of corresponding nutrient solution and the osmotic strength of nutrient solution, also more comprehensive and accurate to the selection of the time of nutrient solution replenishment and nutrient solution osmotic strength.
Description
Technical Field
The invention relates to the technical field of data processing, in particular to a processing system for acquiring nutrition data based on a sensor.
Background
With the continuous change of the life of people, data acquisition is carried out based on a sensor, then the acquired data is processed, and after repeated data and abnormal data are deleted, the trend of the data is predicted according to the trend of the data, and the like.
When the sensor trouble for the data of gathering are empty, then can't be based on there being not the unable processing that handles of data basis, in practical application process, if carrying out the nasal feeding in-process, because the special health state of user, need directly pour into nutrient solution into in the intestines and stomach, the user promotes other functions according to healthy intestines and stomach state, in order to guarantee that sufficient nutrition improves user's health state.
Therefore, the processing result of the data is crucial to the supplement feedback effect of the nutrient solution, but the nutrient data of the user is lack of real-time monitoring in the prior art.
Disclosure of Invention
Therefore, the processing system for acquiring the nutrition data based on the sensor can solve the problem of real-time monitoring of the nutrition data.
In order to achieve the above object, the present invention provides a processing system for collecting nutrition data based on sensors, comprising:
a sensor array to collect in vivo nutritional data;
the display screen is used for displaying the supplement frequency of the nutrient solution and the osmotic strength of the nutrient solution according to the processing result of the nutrient data in vivo;
the processor is respectively connected with the sensor array and the display screen and used for processing the in-vivo nutrition data to obtain a processing result, the processor comprises a storage unit and a central control unit, the storage unit is used for storing the data acquired by the sensor array, and the central control unit is used for processing the acquired data;
the sensor array, the display screen and the processor are arranged in the same network, in-vivo nutrition data acquired by the sensor array is transmitted to the display screen through the network, and the processor transmits a processing result to the display screen through the network;
the sensor array collects signal values of in-vivo nutrition data at any moment, the collected results are transmitted to the processor, the processor analyzes the collected signal values, whether the moment is abnormal or not is judged, if the moment is abnormal, adjustment is carried out once, the content of the adjustment once is that the supplement frequency of the nutrient solution keeps the current frequency, and the osmotic strength of the nutrient solution is adjusted;
when the acquired signal values do not belong to time abnormity, the storage unit records all in-vivo nutrition data values, the central control unit sets a preset time period, integrates all in-vivo nutrition data values in the preset time period to generate a signal value function image, analyzes the signal value function image, judges whether time period abnormity exists in the preset time period or not, performs secondary adjustment if the time period abnormity exists, and adjusts the supplement frequency of the nutrient solution if the osmotic strength of the nutrient solution is kept unchanged;
and when time interval abnormality does not exist in the preset time interval, setting a preset period, recording function images of a plurality of preset time intervals in one preset period by the storage unit, integrating the images, analyzing the integrated images by the central control unit, judging whether the cycle abnormality in one preset period exists, and if so, adjusting the osmotic strength of the nutrient solution three times and adjusting the supplement frequency of the nutrient solution three times.
Further, when the sensor array is used for collecting in-vivo nutritional data, for any one in-vivo nutritional data, the monitored data value D is transmitted to the processor, a central control unit in the processor is internally provided with a first data reference value D1 and a second data reference value D2, and the central control unit compares the monitored data value D with the first data reference value D1 and the second data reference value D2;
when D is not more than D1, the central control unit judges that the data value is too low, the data to be monitored is abnormal at the moment, the central control unit sends an instruction to the display screen, and the display screen is adjusted once to improve the osmotic strength of the nutrient solution;
when D1 is larger than D and is not larger than D2, the central control unit judges that the data value range is normal, and the central control unit sends an instruction to the storage unit to store the data value D;
when D is larger than D2, the central control unit judges that the data value is too high, the time of the signal to be monitored is abnormal, the central control unit sends an instruction to the display screen, and the display screen is adjusted once to reduce the osmotic strength of the nutrient solution.
Further, when the range of the data value D is normal and the range of the data value D ' acquired at the next time of the data value D is normal, the central control unit calculates the absolute value Δ D1 of the difference between the data value D and the data value D ', Δ D1= | D-D ' |, an absolute value parameter Δ Dz of the data value difference is further provided in the central control unit, the central control unit compares the calculated absolute value Δ D1 of the difference with the absolute value parameter Δ Dz of the data value difference,
when the delta D1 is less than or equal to the delta Dz, the central control unit judges that the change values of the data value D and the data value D' in the adjacent time are in a reasonable range;
when the delta D1 is larger than the delta Dz, the central control unit judges that the change values of the data value D and the data value D' are not in a reasonable range, the central control unit sends an instruction to the display screen, and the display screen is adjusted once.
Further, a data value change function Db = f (ti) within a single preset time period t is further provided in the central control unit, where ti represents any time within the single preset time period t, and Db represents a data value at the time ti;
the sensor array collects all data values in a single preset time period t1 and transmits all the collected values to the storage unit, and the central control unit analyzes all the data values in the single preset time period t1 to obtain a data value change function graph D1b = f (t1i), wherein t1i represents any time in the single preset time period t1, and D1b represents data values at the time of t1 i;
the central control unit compares the function diagram D1b = f (t1i) with the data value change function Db = f (ti), and when the function diagram D1b = f (t1i) shows a value deviating from the expected data value change function Db = f (ti), the central control unit determines that a time interval abnormality occurs within a single preset time interval t1, and sends an instruction to the display screen, and the display screen performs secondary adjustment.
Further, when the function map D1b = f (t1i) is aligned with the data value change function Db = f (ti), the amplitude and frequency of the data value change function Db = f (ti) are adjusted so that Db = f (ti) and D1b = f (t1i) have the same amplitude and frequency, respectively, and the data value change function Db = f (ti) is shifted so that the peak point of Db = f (ti) coincides with the peak point of D1b = f (t1 i);
the central control unit compares the adjusted data value change function Db = f (ti) with the function diagram D1b = f (t1i), and when data different from the trend of the data value change function Db = f (ti) appears in the function diagram D1b = f (t1i), the central control unit determines that time interval abnormality occurs in a single preset time interval t1, and sends an instruction to the display screen, and the display screen performs secondary adjustment.
Further, when the function map D1b = f (t1i) and the data value change function Db = f (ti) are in the same trend, the central control unit calculates the absolute value Δ Dx of the difference between the data value D1x corresponding to the arbitrary time t1x in t1i and the data value Dx corresponding to the data value change function Db = f (ti), Δ Dx = | D1x-Dx |, the central control unit has a function image data value difference evaluation parameter D therein, and compares Δ Dx with the data value difference evaluation parameter D,
when the delta Dx is less than or equal to D, the central control unit judges that the data value at any time t1x is in a reasonable range;
when Δ Dx > D, the central control unit determines that the data value at any time t1x is not within a reasonable range.
Further, when the central control unit determines that the data value at any time t1x is not in the reasonable range, the central control unit calculates the absolute value of the difference between all the data values in the function diagram D1b = f (t1i) and the corresponding data value in the data value change function Db = f (ti), and determines the image segment of which the data value is not in the reasonable range through calculation, the central control unit marks the image segment in the unreasonable range, the central control unit determines that the image segment is in a period abnormal state, and the central control unit starts the display screen to perform adjustment three times.
Further, when the central control unit determines that the data values at any time t1x are all in a reasonable range, the storage unit stores the function map D1b = f (t1i), and stores the adjusted data value change function Db = f (ti), and the adjusted data value change function Db = f (ti) is recorded as C1;
acquiring all data values in the next preset time period t2 at the sensor array, analyzing all data values in a single preset time period t2 by the central control unit to obtain a data value change function graph D2b = f (t2z), and comparing D2b = f (t2z) with a function Db = f (ti) according to the method of comparing the data value change function D1b = f (t1i) with the data value change function Db = f (ti);
the storage unit stores a data value change function Db = f (ti) adjusted according to D2b = f (t2z), and the adjusted data value change function Db = f (ti) is C2;
the storage unit stores a data value change function Db = f (ti) adjusted according to a data value change function map D3b = f (t3z) within a preset time period t3, wherein the adjusted data value change function Db = f (ti) is C3;
the central control unit integrates data value change functions Db = f (ti) in a preset period T to generate an image general map G0, wherein T (T1, T2, T3, T4 … tn) in the preset period T and G0 and G0 (C1, C2, C3 and C4 … Cn) in the image general map;
the central control unit analyzes the image general graph G0, and when the image section Ci obviously appears in the image general graph G0 and does not accord with the overall trend, the central control unit judges that the image section Ci is abnormal in period, and the central control unit starts the display screen to perform three times of adjustment.
Further, when the preset time period is set, a batch of data values are collected to form a data sequence, and the sequence is preprocessed, wherein the preprocessing comprises the following steps: interpolation processing is carried out on missing values in the sequence, the missing values are supplemented to form a complete data sequence, the supplemented data sequence is divided into a plurality of time sequence segments according to a strategy, the time sequence segments are preset time intervals, and the strategy is as follows: the length of the time sequence segment is set to be n, wherein n is an even number, then the segmentation is carried out by adopting a sliding window method, the stepping length of the sliding window is set to be m, wherein m is more than or equal to 1, and m is less than or equal to n/2.
Further, the in vivo nutritional data includes amino acid demand, fat milk demand, and glucose demand.
Compared with the prior art, the method has the advantages that the sensor array is used for collecting the in-vivo nutrition data, the collected in-vivo nutrition data is extracted, the processor is used for performing triple progressive adjustment on the in-vivo nutrition data, the abnormal condition of the in-vivo nutrition data is determined, the corresponding supplement frequency of the nutrient solution and the corresponding osmotic strength of the nutrient solution are further determined, and the selection of the nutrient supplement time and the nutrient solution osmotic strength is more comprehensive and accurate.
Particularly, the data value of the in-vivo nutrition data is determined through a central control unit in the processor, the relation between the actually acquired data value and the set first data reference value D1 and second data reference value D2 is judged, and whether the display screen instantly sends out one adjustment or not is determined, so that the adjustment of the permeation strength of the nutrient solution is more accurate and timely.
Particularly, through whether the change value of the data value in the continuous time length is in a reasonable range, if the change value is in the reasonable range, the abnormality does not exist, and if the change value is not in the reasonable range, the adjustment is carried out for one time in real time, so that the data value acquired by the in-vivo nutrition data is more accurate, and the accuracy of the selection of the nutrient solution is improved.
Particularly, the central control unit divides the acquired data values in time by taking a preset time period as a minimum unit, so that the function graph D1b = f (t1i) is compared with the data value change function Db = f (ti), the abnormal time period in a single preset time period t1 is judged, and if the abnormal time period occurs, the display screen is adjusted for the second time.
In particular, the amplitude and the frequency of the data value change function Db = f (ti) are adjusted, so that the data value change function Db = f (ti) and the function graph D1b = f (t1i) can be translated, and thus, the occurrence of the period anomaly within a single preset period t1 is determined, and the speed of determining the period anomaly is increased.
Particularly, whether secondary adjustment is performed or not is judged through the relation between a preset data value difference evaluation parameter D in the central control unit and the absolute value delta Dx of the difference value between the data value D1x corresponding to any time t1x in t1i and the data value Db = f (ti) and the corresponding data value Dx, if the difference value is within a preset reasonable range, the secondary adjustment is not performed, and if the difference value is not within the preset reasonable range, the secondary adjustment is performed, so that the secondary adjustment is more careful and accurate to be sent out, and the accuracy of nutrition supplement is improved.
Particularly, on the premise of no primary adjustment and no secondary adjustment, the data is subjected to advanced processing again, the data value of the in-vivo nutrition data is judged again in the preset period by setting the preset period, the unreasonable position of the function image is judged, and if the unreasonable position exists, the three-time adjustment is performed, so that the judgment of data abnormity is deeper and the significance of nutrition supplement is profound, the accuracy of data processing is further improved, and the accuracy of nutrition supplement time and osmotic strength adjustment is improved.
In particular, by limiting the types of in-vivo nutrition data, in practical application, factors influencing nutrient solution supplement are many, and the embodiment of the invention limits a plurality of common in-vivo nutrition data, realizes the processing of limited data and improves the more accurate adjustment of nutrient solution supplement.
Drawings
Fig. 1 is a schematic structural diagram of a processing system for acquiring nutritional data based on a sensor according to an embodiment of the present invention.
Detailed Description
In order that the objects and advantages of the invention will be more clearly understood, the invention is further described below with reference to examples; it should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
Preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are only for explaining the technical principle of the present invention, and do not limit the scope of the present invention.
It should be noted that in the description of the present invention, the terms of direction or positional relationship indicated by the terms "upper", "lower", "left", "right", "inner", "outer", etc. are based on the directions or positional relationships shown in the drawings, which are only for convenience of description, and do not indicate or imply that the device or element must have a specific orientation, be constructed in a specific orientation, and be operated, and thus, should not be construed as limiting the present invention.
Furthermore, it should be noted that, in the description of the present invention, unless otherwise explicitly specified or limited, the terms "mounted," "connected," and "connected" are to be construed broadly, and may be, for example, fixedly connected, detachably connected, or integrally connected; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meanings of the above terms in the present invention can be understood by those skilled in the art according to specific situations.
Referring to fig. 1, a processing system for collecting nutritional data based on a sensor according to an embodiment of the present invention includes:
a sensor array 10 for collecting in vivo nutritional data;
the display screen 20 is used for displaying the supplement frequency of the nutrient solution and the osmotic strength of the nutrient solution according to the processing result of the nutrient data in vivo;
the processor 30 is respectively connected with the sensor array 10 and the display screen 20 and is used for processing the in vivo nutrition data to obtain a processing result, the processor comprises a storage unit 31 and a central control unit 32, the storage unit is used for storing the data acquired by the sensor array, and the central control unit is used for processing the acquired data;
the sensor array, the display screen and the processor are arranged in the same network, in-vivo nutrition data acquired by the sensor array is transmitted to the display screen through the network, and the processor transmits a processing result to the display screen through the network;
the sensor array collects signal values of in-vivo nutrition data at any moment, the collected results are transmitted to the processor, the processor analyzes the collected signal values, whether the moment is abnormal or not is judged, if the moment is abnormal, adjustment is carried out once, the content of the adjustment once is that the supplement frequency of the nutrient solution keeps the current frequency, and the osmotic strength of the nutrient solution is adjusted;
when the acquired signal values do not belong to time abnormity, the storage unit records all in-vivo nutrition data values, the central control unit sets a preset time period, integrates all in-vivo nutrition data values in the preset time period to generate a signal value function image, analyzes the signal value function image, judges whether time period abnormity exists in the preset time period or not, performs secondary adjustment if the time period abnormity exists, and adjusts the supplement frequency of the nutrient solution if the osmotic strength of the nutrient solution is kept unchanged;
when time interval abnormality does not exist in a preset time interval, setting a preset period, recording function images of a plurality of preset time intervals in one preset period by the storage unit, integrating the images, analyzing the integrated images by the central control unit, judging whether the period abnormality in one preset period exists, and adjusting for three times and correcting for three times if the period abnormality exists, wherein the content of the three times of correction is adjusting the osmotic strength of the nutrient solution and adjusting the supplement frequency of the nutrient solution;
the in vivo nutrition data comprises a first type signal, a second type signal and a third type signal, and assignment is carried out according to the incidence relation among the signals, if the incidence relation exists, the assignment is 1, otherwise, the assignment is 0,
at any moment, if the nutritional data in the body has abnormal moments, determining the time interval between the preset time interval and the abnormal moments during secondary adjustment detection, and setting a standard time interval, if the time interval between the preset time interval and the abnormal moments is not more than the standard time interval, correcting the type signal with the type signal association relation assigned as 1 in the preset time interval during the secondary adjustment detection;
if the time interval between the preset time interval and the time abnormity is larger than the standard time interval, the type signal with the incidence relation of the type signal with the time abnormity being assigned as 1 in the preset time interval does not need to be corrected during the secondary adjustment detection.
Specifically, the first type signal is the amount of amino acid required, the second type signal is the amount of fat milk required, and the third type signal is the amount of glucose required, according to the embodiment of the present invention, when the timing of a certain type of signal is abnormal, and when the second adjustment is performed, since the signal having an abnormality at this time has an influence on the signal having a close relationship with the signal, when the adjustment is performed twice, at the time interval between the preset time interval and the time of occurrence of the abnormal signal at the moment, the influence degree of the abnormal signal at the moment on the related signal in the time interval is judged, if the influence exists, the associated signal value is corrected to realize more accurate expression of the relationship among various types of signals, the adjustment effect on the secondary adjustment is more accurate, the accuracy of the display data is improved, and then the supplement frequency of the nutrient solution and the adjustment accuracy of the osmotic concentration of the nutrient solution are adjusted.
Specifically, according to the processing system for acquiring nutritional data based on the sensor provided by the embodiment of the invention, the in vivo nutritional data is acquired through the sensor array, the acquired in vivo nutritional data is extracted, the processor performs triple progressive adjustment on the in vivo nutritional data, the abnormal condition of the in vivo nutritional data is determined, the corresponding supplement frequency and the osmotic strength of the nutrient solution are further determined, and the selection of the nutrient supplement time and the nutrient solution osmotic strength is more comprehensive and accurate.
Specifically, when the sensor array is used for collecting in-vivo nutritional data, a monitored data value D is transmitted to the processor for any one in-vivo nutritional data, a central control unit in the processor is internally provided with a first data reference value D1 and a second data reference value D2, and the central control unit compares the monitored data value D with the first data reference value D1 and the second data reference value D2;
when D is not more than D1, the central control unit judges that the data value is too low, the data to be monitored is abnormal at the moment, the central control unit sends an instruction to the display screen, and the display screen is adjusted once to improve the osmotic strength of the nutrient solution;
when D1 is larger than D and is not larger than D2, the central control unit judges that the data value range is normal, and the central control unit sends an instruction to the storage unit to store the data value D;
when D is larger than D2, the central control unit judges that the data value is too high, the time of the signal to be monitored is abnormal, the central control unit sends an instruction to the display screen, and the display screen is adjusted once to reduce the osmotic strength of the nutrient solution.
Specifically, the embodiment of the invention determines the data value of the in-vivo nutrition data through the central control unit in the processor, judges the relationship between the actually acquired data value and the set first data reference value D1 and second data reference value D2, and determines whether the display screen instantly sends out one adjustment, so that the adjustment of the permeation strength of the nutrient solution is more accurate and timely.
Specifically, when the range of the data value D is normal and the range of the data value D ' acquired at the next time of the data value D is normal, the central control unit calculates an absolute value Δ D1 of the difference between the data value D and the data value D ', Δ D1= | D-D ' |, an absolute value parameter Δ Dz of the data value difference is further provided in the central control unit, the central control unit compares the calculated absolute value Δ D1 of the difference with the absolute value parameter Δ Dz of the data value difference,
when the delta D1 is less than or equal to the delta Dz, the central control unit judges that the change values of the data value D and the data value D' in the adjacent time are in a reasonable range;
when the delta D1 is larger than the delta Dz, the central control unit judges that the change values of the data value D and the data value D' are not in a reasonable range, the central control unit sends an instruction to the display screen, and the display screen is adjusted once.
Specifically, according to the embodiment of the invention, through determining whether the change value of the data value in the continuous time length is within a reasonable range, if so, no abnormality exists, and if not, performing one-time adjustment in real time, so that the data value acquired by in vivo nutrition data is more accurate, and the accuracy of nutrient solution selection is improved.
Specifically, a data value change function Db = f (ti) within a single preset time period t is further provided in the central control unit, where ti represents any time within the single preset time period t, and Db represents a data value at the time ti;
the sensor array collects all data values in a single preset time period t1 and transmits all the collected values to the storage unit, and the central control unit analyzes all the data values in the single preset time period t1 to obtain a data value change function graph D1b = f (t1i), wherein t1i represents any time in the single preset time period t1, and D1b represents data values at the time of t1 i;
the central control unit compares the function diagram D1b = f (t1i) with the data value change function Db = f (ti), and when the function diagram D1b = f (t1i) shows a value deviating from the expected data value change function Db = f (ti), the central control unit determines that a time interval abnormality occurs within a single preset time interval t1, and sends an instruction to the display screen, and the display screen performs secondary adjustment.
Specifically, in the embodiment of the invention, the central control unit divides the acquired data values in time by taking a preset time period as a minimum unit, so that the function graph D1b = f (t1i) is compared with the data value change function Db = f (ti), the abnormal time period in a single preset time period t1 is judged, and if the abnormal time period occurs, the display screen is adjusted for the second time.
Specifically, when the function map D1b = f (t1i) is compared with the data value change function Db = f (ti), the amplitude and frequency of the data value change function Db = f (ti) are adjusted so that Db = f (ti) and D1b = f (t1i) have the same amplitude and frequency, respectively, and the data value change function Db = f (ti) is shifted so that the peak point of Db = f (ti) coincides with the peak point of D1b = f (t1 i);
the central control unit compares the adjusted data value change function Db = f (ti) with the function diagram D1b = f (t1i), and when data different from the trend of the data value change function Db = f (ti) appears in the function diagram D1b = f (t1i), the central control unit determines that time interval abnormality occurs in a single preset time interval t1, and sends an instruction to the display screen, and the display screen performs secondary adjustment.
Specifically, according to the embodiment of the present invention, the amplitude and the frequency of the data value change function Db = f (ti) are adjusted, so that the data value change function Db = f (ti) and the function graph D1b = f (t1i) can be translated, thereby determining that a time interval abnormality occurs within a single preset time interval t1, and increasing the time interval abnormality determination speed.
Specifically, when the function map D1b = f (t1i) and the data value change function Db = f (ti) are in the same trend, the central control unit calculates the absolute value Δ Dx, Δ Dx = | D1x-Dx | of the difference between the data value D1x corresponding to the arbitrary time t1x in t1i and the data value Dx corresponding to the data value change function Db = f (ti), the central control unit has a function image data value difference evaluation parameter D therein, and compares Δ Dx with the data value difference evaluation parameter D,
when the delta Dx is less than or equal to D, the central control unit judges that the data value at any time t1x is in a reasonable range;
when Δ Dx > D, the central control unit determines that the data value at any time t1x is not within a reasonable range.
Specifically, according to the embodiment of the present invention, whether to perform secondary adjustment is determined by using a relationship between a data value difference evaluation parameter D preset in a central control unit and an absolute value Δ Dx of a difference between a data value D1x corresponding to an arbitrary time t1x in t1i and a data value Dx corresponding to a data value change function Db = f (ti), and if not, the secondary adjustment is not performed, so that the secondary adjustment is performed more cautiously and accurately, and accuracy of nutrition supplement is improved.
Specifically, when the central control unit determines that the data value at any time t1x is not in the reasonable range, the central control unit calculates the absolute value of the difference between all the data values in the function diagram D1b = f (t1i) and the corresponding data values in the data value change function Db = f (ti), and determines the image segment of which the data value is not in the reasonable range through calculation, the central control unit marks the image segment in the unreasonable range, the central control unit determines that the image segment is in a period abnormity, and the central control unit starts the display screen to perform adjustment three times.
Specifically, the embodiment of the invention carries out deep processing on the data again on the premise of no primary adjustment and no secondary adjustment, judges the data value of the in-vivo nutrition data again in the preset period by setting the preset period, judges the unreasonable position of the function image, carries out three times of adjustment if the unreasonable position exists, carries out deeper judgment on data abnormity and has far meaning on nutrition supplement, further improves the accuracy of data processing, and improves the accuracy of nutrition supplement time and osmotic strength adjustment.
Specifically, when the central control unit determines that the data values at any time t1x are all in a reasonable range, the storage unit stores the function map D1b = f (t1i), and stores the adjusted data value change function Db = f (ti), and the adjusted data value change function Db = f (ti) is C1;
acquiring all data values in the next preset time period t2 at the sensor array, analyzing all data values in a single preset time period t2 by the central control unit to obtain a data value change function graph D2b = f (t2z), and comparing D2b = f (t2z) with a function Db = f (ti) according to the method of comparing the data value change function D1b = f (t1i) with the data value change function Db = f (ti);
the storage unit stores a data value change function Db = f (ti) adjusted according to D2b = f (t2z), and the adjusted data value change function Db = f (ti) is C2;
the storage unit stores a data value change function Db = f (ti) adjusted according to a data value change function map D3b = f (t3z) within a preset time period t3, wherein the adjusted data value change function Db = f (ti) is C3;
the central control unit integrates data value change functions Db = f (ti) in a preset period T to generate an image general map G0, wherein T (T1, T2, T3, T4 … tn) in the preset period T and G0 and G0 (C1, C2, C3 and C4 … Cn) in the image general map;
the central control unit analyzes the image general graph G0, and when the image section Ci obviously appears in the image general graph G0 and does not accord with the overall trend, the central control unit judges that the image section Ci is abnormal in period, and the central control unit starts the display screen to perform three times of adjustment.
Specifically, the embodiment of the invention analyzes the general diagram of the function image, determines the position of the in-vivo nutrition data which does not conform to the overall trend, determines whether to perform three times of adjustment or not, improves the accuracy of the three times of adjustment, and improves the discovery capability of data abnormality and the accuracy of nutrition liquid supplement.
Specifically, when a preset time period is set, a batch of data values are collected to form a data sequence, and the sequence is preprocessed, wherein the preprocessing comprises the following steps: interpolation processing is carried out on missing values in the sequence, the missing values are supplemented to form a complete data sequence, the supplemented data sequence is divided into a plurality of time sequence segments according to a strategy, the time sequence segments are preset time intervals, and the strategy is as follows: setting the length of the time sequence segment as n, wherein n is an even number, then dividing by adopting a sliding window method, setting the stepping length of the sliding window as m, wherein m is more than or equal to 1 and m is less than or equal to n/2, and determining the value of m according to the processing capacity of the processor.
Specifically, the smaller m is, the more the number of the divided segments is, the more powerful computing resources are required, and the determination in the preset time period is more accurate.
In particular, the in vivo nutritional data includes amino acid demand, fat milk demand, and glucose demand.
Specifically, in the embodiment of the present invention, by limiting the types of in vivo nutrition data, in practical applications, there are many factors that affect the nutrition liquid supplement, and the embodiment of the present invention limits several common in vivo nutrition data, so as to implement the processing of limited data and improve the accuracy of the adjustment of the nutrition liquid supplement.
So far, the technical solutions of the present invention have been described in connection with the preferred embodiments shown in the drawings, but it is easily understood by those skilled in the art that the scope of the present invention is obviously not limited to these specific embodiments. Equivalent changes or substitutions of related technical features can be made by those skilled in the art without departing from the principle of the invention, and the technical scheme after the changes or substitutions can fall into the protection scope of the invention.
The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention; various modifications and alterations to this invention will become apparent to those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (9)
1. A processing system for collecting nutritional data based on a sensor, comprising:
a sensor array to collect in vivo nutritional data;
the display screen is used for displaying the supplement frequency of the nutrient solution and the osmotic strength of the nutrient solution according to the processing result of the nutrient data in vivo;
the processor is respectively connected with the sensor array and the display screen and used for processing the in-vivo nutrition data to obtain a processing result, the processor comprises a storage unit and a central control unit, the storage unit is used for storing the data acquired by the sensor array, and the central control unit is used for processing the acquired data;
the sensor array, the display screen and the processor are arranged in the same network, in-vivo nutrition data acquired by the sensor array is transmitted to the display screen through the network, and the processor transmits a processing result to the display screen through the network;
the sensor array collects signal values of in-vivo nutrition data at any moment, the collected results are transmitted to the processor, the processor analyzes the collected signal values, whether the moment is abnormal or not is judged, if the moment is abnormal, adjustment is carried out once, the content of the adjustment once is that the supplement frequency of the nutrient solution keeps the current frequency, and the osmotic strength of the nutrient solution is adjusted;
when the acquired signal values do not belong to time abnormity, the storage unit records all in-vivo nutrition data values, the central control unit sets a preset time period, integrates all in-vivo nutrition data values in the preset time period to generate a signal value function image, analyzes the signal value function image, judges whether time period abnormity exists in the preset time period or not, performs secondary adjustment if the time period abnormity exists, and adjusts the supplement frequency of the nutrient solution if the osmotic strength of the nutrient solution is kept unchanged;
when time interval abnormality does not exist in a preset time interval, setting a preset period, recording function images of a plurality of preset time intervals in one preset period by the storage unit, integrating the images, analyzing the integrated images by the central control unit, judging whether the period abnormality in one preset period exists, and adjusting for three times and correcting for three times if the period abnormality exists, wherein the content of the three times of correction is adjusting the osmotic strength of the nutrient solution and adjusting the supplement frequency of the nutrient solution;
when the sensor array is used for collecting in-vivo nutritional data, a monitored data value D is transmitted to the processor for any one in-vivo nutritional data, a central control unit in the processor is internally provided with a first data reference value D1 and a second data reference value D2, and the central control unit compares the monitored data value D with the first data reference value D1 and the second data reference value D2;
when D is not more than D1, the central control unit judges that the data value is too low, the data to be monitored is abnormal at the moment, the central control unit sends an instruction to the display screen, and the display screen is adjusted once to improve the osmotic strength of the nutrient solution;
when D1 is larger than D and is not larger than D2, the central control unit judges that the data value range is normal, and the central control unit sends an instruction to the storage unit to store the data value D;
when D is larger than D2, the central control unit judges that the data value is too high, the time of the signal to be monitored is abnormal, the central control unit sends an instruction to the display screen, and the display screen is adjusted once to reduce the osmotic strength of the nutrient solution.
2. The sensor-based nutritional data acquisition processing system of claim 1,
when the range of the data value D is normal and the range of the data value D ' acquired at the next moment of the data value D is normal, the central control unit calculates the absolute value delta D1 of the difference value between the data value D and the data value D ', delta D1= | D-D ' |, an absolute value parameter delta Dz of the data value difference value is also arranged in the central control unit, the central control unit compares the calculated absolute value delta D1 of the difference value with the absolute value parameter delta Dz of the data value difference value,
when the delta D1 is less than or equal to the delta Dz, the central control unit judges that the change values of the data value D and the data value D' in the adjacent time are in a reasonable range;
when the delta D1 is larger than the delta Dz, the central control unit judges that the change values of the data value D and the data value D' are not in a reasonable range, the central control unit sends an instruction to the display screen, and the display screen is adjusted once.
3. The sensor-based nutritional data acquisition processing system of claim 2,
a data value change function Db = f (ti) in a single preset time period t is further arranged in the central control unit, wherein ti represents any time in the single preset time period t, and Db represents a data value at the time of ti;
the sensor array collects all data values in a single preset time period t1 and transmits all the collected values to the storage unit, and the central control unit analyzes all the data values in the single preset time period t1 to obtain a data value change function graph D1b = f (t1i), wherein t1i represents any time in the single preset time period t1, and D1b represents data values at the time of t1 i;
the central control unit compares the function diagram D1b = f (t1i) with the data value change function Db = f (ti), and when the function diagram D1b = f (t1i) shows a value deviating from the expected data value change function Db = f (ti), the central control unit determines that a time interval abnormality occurs within a single preset time interval t1, and sends an instruction to the display screen, and the display screen performs secondary adjustment.
4. The sensor-based nutritional data acquisition processing system of claim 3,
when the function map D1b = f (t1i) is aligned with the data value change function Db = f (ti), the amplitude and frequency of the data value change function Db = f (ti) are adjusted such that Db = f (ti) is the same as the amplitude and frequency of D1b = f (t1i), respectively, and the data value change function Db = f (ti) is shifted such that the peak point of Db = f (ti) coincides with the peak point of D1b = f (t1 i);
the central control unit compares the adjusted data value change function Db = f (ti) with the function diagram D1b = f (t1i), and when data different from the trend of the data value change function Db = f (ti) appears in the function diagram D1b = f (t1i), the central control unit determines that time interval abnormality occurs in a single preset time interval t1, and sends an instruction to the display screen, and the display screen performs secondary adjustment.
5. The sensor-based nutritional data acquisition processing system of claim 4,
when the function map D1b = f (t1i) and the data value change function Db = f (ti) are in the same trend, the central control unit calculates the absolute value Δ Dx, Δ Dx = | D1x-Dx | of the difference between the data value D1x corresponding to the arbitrary time t1x in t1i and the data value Dx corresponding to the data value change function Db = f (ti), the central control unit is provided with a function image data value difference evaluation parameter D, and compares Δ Dx with the data value difference evaluation parameter D,
when the delta Dx is less than or equal to D, the central control unit judges that the data value at any time t1x is in a reasonable range;
when Δ Dx > D, the central control unit determines that the data value at any time t1x is not within a reasonable range.
6. The sensor-based nutritional data acquisition processing system of claim 5,
when the central control unit judges that the data value at any time t1x is not in a reasonable range, the central control unit calculates the absolute value of the difference between all the data values in the function diagram D1b = f (t1i) and the corresponding data values in the data value change function Db = f (ti), and determines the image segment of which the data value is not in the reasonable range through calculation, the central control unit marks the image segment in the unreasonable range, the central control unit judges that the image segment is in a period abnormity, and the central control unit starts the display screen to perform three times of adjustment.
7. The sensor-based nutritional data acquisition processing system of claim 6,
when the central control unit judges that the data values at any time t1x are all in a reasonable range, the storage unit stores a function graph D1b = f (t1i), and stores an adjusted data value change function Db = f (ti), wherein the adjusted data value change function Db = f (ti) is C1;
acquiring all data values in the next preset time period t2 at the sensor array, analyzing all data values in a single preset time period t2 by the central control unit to obtain a data value change function graph D2b = f (t2z), and comparing D2b = f (t2z) with a function Db = f (ti) according to the method of comparing the data value change function D1b = f (t1i) with the data value change function Db = f (ti);
the storage unit stores a data value change function Db = f (ti) adjusted according to D2b = f (t2z), and the adjusted data value change function Db = f (ti) is C2;
the storage unit stores a data value change function Db = f (ti) adjusted according to a data value change function map D3b = f (t3z) within a preset time period t3, wherein the adjusted data value change function Db = f (ti) is C3;
the central control unit integrates data value change functions Db = f (ti) in a preset period T to generate an image general map G0, wherein T (T1, T2, T3, T4 … tn) in the preset period T and G0 and G0 (C1, C2, C3 and C4 … Cn) in the image general map;
the central control unit analyzes the image general graph G0, and when the image section Ci obviously appears in the image general graph G0 and does not accord with the overall trend, the central control unit judges that the image section Ci is abnormal in period, and the central control unit starts the display screen to perform three times of adjustment.
8. The sensor-based nutritional data processing system according to any one of claims 1-7, wherein a set of data values is collected to form a data sequence when a predetermined time period is set, and the sequence is pre-processed, the pre-processing comprising: interpolation processing is carried out on missing values in the sequence, the missing values are supplemented to form a complete data sequence, the supplemented data sequence is divided into a plurality of time sequence segments according to a strategy, the time sequence segments are preset time intervals, and the strategy is as follows: the length of the time sequence segment is set to be n, wherein n is an even number, then the segmentation is carried out by adopting a sliding window method, the stepping length of the sliding window is set to be m, wherein m is more than or equal to 1, and m is less than or equal to n/2.
9. The sensor-based nutritional data processing system of claim 8 wherein the in vivo nutritional data includes amino acid demand, fat milk demand, and glucose demand.
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Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104472094A (en) * | 2014-12-10 | 2015-04-01 | 杭州阳田农业设备有限公司 | Single-phase fertilization-with-water system having double nutrient solution concentration output and using metering pumps for quantitative control |
| CN104503518A (en) * | 2014-11-28 | 2015-04-08 | 北京中农腾达科技有限公司 | Small intelligent plant growing system |
| CN112603834A (en) * | 2020-12-18 | 2021-04-06 | 南通市第一人民医院 | Control system and method for enteral nutrition input of patient |
| CN112715119A (en) * | 2020-12-28 | 2021-04-30 | 江苏省农业科学院 | Intelligent water and fertilizer decision method and system for greenhouse matrix cultivation |
Family Cites Families (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US7699817B2 (en) * | 2004-03-25 | 2010-04-20 | Boston Scientific Scimed, Inc. | Device for monitoring the administration of enteral nutritional fluids into a feeding tube |
| US7734349B2 (en) * | 2007-07-18 | 2010-06-08 | Cardiac Pacemakers, Inc. | Osmometric heart monitoring device and methods |
| BRPI1008930A2 (en) * | 2009-02-18 | 2016-03-15 | Aradigm Corp | ph-modulated formulation for pulmonary release |
| CN103145495B (en) * | 2013-02-27 | 2015-02-25 | 谢超 | High-energy composite peptide selenoprotein nutrient solution, preparation method and application thereof |
| CN110785815B (en) * | 2017-05-09 | 2023-06-27 | 巴克斯特国际公司 | Parenteral nutrition diagnostic systems, devices and methods |
-
2021
- 2021-06-24 CN CN202110704706.6A patent/CN113257405B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104503518A (en) * | 2014-11-28 | 2015-04-08 | 北京中农腾达科技有限公司 | Small intelligent plant growing system |
| CN104472094A (en) * | 2014-12-10 | 2015-04-01 | 杭州阳田农业设备有限公司 | Single-phase fertilization-with-water system having double nutrient solution concentration output and using metering pumps for quantitative control |
| CN112603834A (en) * | 2020-12-18 | 2021-04-06 | 南通市第一人民医院 | Control system and method for enteral nutrition input of patient |
| CN112715119A (en) * | 2020-12-28 | 2021-04-30 | 江苏省农业科学院 | Intelligent water and fertilizer decision method and system for greenhouse matrix cultivation |
Non-Patent Citations (1)
| Title |
|---|
| 基于斜率-截距校正算法的番茄营养液 ISE 监测;张淼;《农 业 机 械 学 报》;20180531;343-347 * |
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