CN114898877A - Processing method and system suitable for multi-dimensional health data - Google Patents
Processing method and system suitable for multi-dimensional health data Download PDFInfo
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Abstract
The invention provides a processing method and a system suitable for multi-dimensional health data, wherein the types of historical cases and the frequency data of each type of case are input to an equipment end by a user; the equipment end determines the number of types of multi-dimensional health data and the multi-dimensional health data corresponding to each type of case according to the historical case types; the equipment end determines a first acquisition frequency of each type of dimensional health data according to the frequency data of each type of case and the multi-dimensional health data corresponding to each type of case; generating a distribution coefficient of each dimension health data according to the product of the first acquisition frequency and the occupied space of each dimension health data acquisition; generating a storage space distribution scheme according to the total storage space, the number of the multi-dimensional health data types and the distribution coefficient of each dimension health data type; the distribution of the storage space is more reasonable, and the data is more convenient to call.
Description
Technical Field
The invention relates to a data processing technology, in particular to a processing method and a processing system suitable for multi-dimensional health data.
Background
Along with the continuous development of science and technology, various intelligent devices are continuously emerged, for example: the health data of human multiple dimensionalities of real-time detection can be carried out to intelligence bracelet, intelligent wrist-watch, intelligent weight appearance etc to carry out the comprehensive processing with the health data of multiple dimensionalities and demonstrate the multidimension health status of human body with digital form, feel when the user is uncomfortable can look over the health data transfer of multiple dimensionalities to the doctor, make things convenient for subsequent diagnosis.
However, in the prior art, all the multidimensional health data of the user can be collected and stored in a unified manner in real time, but the health data required by the user cannot be stored due to insufficient space, and the storage space cannot be allocated according to the actual situation of the patient in this province, so that part of the storage space is wasted and part of the storage space is insufficient.
Therefore, how to allocate the storage space according to the self condition of each user becomes an urgent problem to be solved.
Disclosure of Invention
The embodiment of the invention provides a processing method and a processing system suitable for multi-dimensional health data, which are characterized in that the storage space of equipment is intelligently distributed according to different physical conditions of each user and corresponding health data acquisition frequency is generated, so that the storage space is more reasonably utilized, and the acquisition frequency is more suitable for the requirements of the users.
In a first aspect of the embodiments of the present invention, a processing method suitable for multi-dimensional health data is provided, including:
the user inputs the types of the historical cases and the times data of each type of case into the equipment end;
the equipment end determines the number of types of multi-dimensional health data and the multi-dimensional health data corresponding to each type of case according to the historical case types;
the equipment end determines a first acquisition frequency of each type of dimensional health data according to the frequency data of each type of case and the multi-dimensional health data corresponding to each type of case;
generating a distribution coefficient of each dimension health data according to the product of the first acquisition frequency and the occupied space of each dimension health data acquisition;
and generating a storage space distribution scheme according to the total storage space, the number of the multi-dimensional health data types and the distribution coefficient of each dimension health data type.
Optionally, in a possible implementation manner of the first aspect, in the step of determining, by the device side, the first acquisition frequency of each type of dimensional health data according to the number data of each type of case and the multidimensional health data corresponding to each type of case, the method specifically includes:
setting the initial acquisition frequency of the multidimensional health data corresponding to each type of case as the frequency data of the corresponding type of case to obtain a plurality of initial acquisition frequencies of each type of dimensional health data;
summing the plurality of initial acquisition frequencies of each dimension health data to obtain an initial total acquisition frequency of each dimension health data;
shifting the initial total acquisition frequency of each kind of dimension health data to the reference acquisition frequency of each kind of dimension health data to generate a first acquisition frequency of each kind of dimension health data;
the first acquisition frequency for each dimension of health data is obtained by the following formula,
wherein the content of the first and second substances,
first acquisition frequency, w, for the ith dimensional health data i A first acquisition frequency weight value for the ith dimensional health data,
the reference acquisition frequency of the ith dimension health data is shown, n is the upper limit value of the number of the historical case types,
initial acquisition frequency for ith dimensional health data in type d casesAnd E is a constant value.
Optionally, in a possible implementation manner of the first aspect, in the step of generating an allocation coefficient for each dimension health data according to a product of the first acquisition frequency and an occupied space of each acquisition of each dimension health data, the step of specifically includes:
generating a distribution coefficient of each dimension health data according to the first acquisition frequency of each dimension health data and the product of the occupied space of each acquisition of each dimension health data;
the distribution coefficient of each dimension health data type is obtained by the following formula,
wherein S is i Assign coefficient, k, to the ith dimension health data type i Assigning a weight value for the coefficient to the ith dimensional health data type,
first acquisition frequency, y, for health data of the ith dimension i Each acquisition occupies space for the ith dimension health data type.
Optionally, in a possible implementation manner of the first aspect, in the step of generating the storage space allocation scheme according to the total storage space, the number of the multi-dimensional health data types, and the allocation coefficient of each of the dimensional health data types, the method specifically includes:
generating a total distribution coefficient of the multi-dimensional health data types according to the number of the multi-dimensional health data types and the distribution coefficient of each dimension health data type;
generating the percentage of each dimension health data type according to the ratio of the total distribution coefficient of the multi-dimension health data type to the distribution coefficient of each dimension health data type;
generating a storage space allocation scheme for each dimension health data type according to the product of the total storage space and the percentage of each dimension health data type;
the allocation scheme of storage space for each dimension health data type is obtained by the following formula,
wherein the content of the first and second substances,
the storage space allocated for the ith dimension health data type, T is the total storage space, S i Distributing coefficients for the ith dimension health data type, v is the upper limit value of the number of the multi-dimension health data types, S g Assigning coefficients to the g-th dimension health data type,
total distribution of coefficients, q, for multi-dimensional health data types i A storage weight value assigned to the ith dimension health data type.
Optionally, in a possible implementation manner of the first aspect, the method further includes:
if the new dimension health data type is added, determining the initial acquisition frequency of the new dimension health data in the new type case according to the attribute of the new type case;
the initial acquisition frequency of the newly added dimension health data shifts the reference acquisition frequency of the newly added dimension health data to obtain a second acquisition frequency of the newly added dimension health data type;
generating a newly added dimension health data type distribution coefficient according to the second acquisition frequency and the occupied space of the newly added dimension health data type acquired each time;
generating the residual storage space of each dimension health data type according to the storage space distributed by each dimension health data type and the difference value of the storage space occupied by each dimension health data type;
summing the remaining storage spaces of each dimension health data type to generate a total remaining storage space;
determining the newly increased capacity of the newly increased dimension health data type according to the total residual storage space, the newly increased dimension health data type distribution coefficient and the total multi-dimension health data type distribution coefficient;
the new capacity of the new dimension health data type is obtained through the following formula,
wherein, T New New capacity, m, for new dimension health data types New A weight value of the newly added capacity for the newly added dimension health data type, p is an upper limit value of the number of the multi-dimension health data types,
storage space allocated for the ith dimension health data type,
the storage space occupied for the ith dimension health data type,
e is a second acquisition frequency weight value of the newly added dimension health data,
a reference acquisition frequency of newly-added dimension health data, G is an initial acquisition frequency of newly-added dimension health data in newly-added type cases, and y New And collecting occupied space for the newly-added dimension health data type each time.
Optionally, in a possible implementation manner of the first aspect, the method further includes:
the equipment side carries out offset processing on the first acquisition frequency of each dimension health data according to the residual storage space of each dimension health data type to obtain a third acquisition frequency, and transmits the multi-dimension health data to the medical side according to the third acquisition frequency;
a user inputs a current case type into an equipment end, and the equipment end determines a multi-dimensional health data type corresponding to the current case type according to the current case type;
the equipment terminal determines a first acquisition frequency of each dimension health data corresponding to the current case type according to the multi-dimension health data type corresponding to the current case type;
the equipment side obtains a first degree difference value of the multi-dimensional health data type according to the difference value between the measured value of the multi-dimensional health data type corresponding to the current case type and the preset value of the multi-dimensional health data type;
adjusting the first acquisition frequency according to the first degree difference and a preset value of the multi-dimensional health data type to obtain a fourth acquisition frequency;
the equipment terminal collects the multi-dimensional health data based on the fourth collection frequency and encrypts and transmits the multi-dimensional health data to the medical terminal.
Optionally, in a possible implementation manner of the first aspect, in the step of adjusting the first acquisition frequency according to the first degree difference and a preset value of the multi-dimensional health data type to obtain a fourth acquisition frequency, the method specifically includes:
obtaining a first degree difference percentage according to the ratio of the first degree difference to a preset value of the multi-dimensional health data type;
performing migration processing on the first acquisition frequency according to the first degree difference percentage to obtain a fourth acquisition frequency of each dimension health data corresponding to the current case type;
the fourth acquisition frequency is obtained by the following formula,
wherein the content of the first and second substances,
a fourth acquisition frequency of the i-th dimension health data corresponding to the current case type,
a first acquisition frequency of the i-th dimension health data corresponding to the current case type,
for the measured value of the ith dimension health data type corresponding to the current case type,
is a preset value of the ith dimension health data type corresponding to the current case type,
and the fourth acquisition frequency weight value is the ith dimension health data corresponding to the current case type.
Optionally, in a possible implementation manner of the first aspect, the method further includes:
according to a fifth acquisition frequency of the ith dimension health data actively input by the doctor end;
obtaining a frequency adjustment trend according to the difference value of the fifth acquisition frequency and the fourth acquisition frequency;
adjusting a fourth acquisition frequency weight value of the ith dimension health data corresponding to the current case type according to the frequency adjustment trend to obtain an adjusted fourth acquisition frequency weight value;
the adjusted fourth acquisition frequency weight value is obtained by the following formula,
wherein, the first and the second end of the pipe are connected with each other,
for the fifth acquisition frequency of the ith dimensional health data,
for the fourth acquisition frequency of the ith dimensional health data,
for the adjusted fourth acquisition frequency weight value,
fourth acquisition frequency weight, δ, for the ith dimension health data 1 For acquiring frequency increasing trend adjustment value delta 2 And collecting a frequency reduction trend adjustment value.
Optionally, in a possible implementation manner of the first aspect, the step of acquiring, encrypting and transmitting the multidimensional health data to the medical end by the device end based on the fourth acquisition frequency specifically includes:
after the equipment end receives the sending request, the equipment end collects the multi-dimensional health data based on the fourth collection frequency to generate first data to be sent;
the equipment end determines the data null moment of the first data to be transmitted according to the fourth acquisition frequency;
the equipment randomly generates data at the moment of the null value of the first data to be sent to obtain virtual data;
and the equipment end encrypts and transmits the virtual data to the medical end by using the random number and the numerical value of the fourth acquisition frequency through a hash function.
In a second aspect of the embodiments of the present invention, a processing system suitable for multidimensional health data includes:
the input module is used for inputting the types of the historical cases and the times data of each type of case to the equipment end by a user;
the data determination module is used for determining the number of types of multi-dimensional health data and the multi-dimensional health data corresponding to each type of case by the equipment terminal according to the types of the historical cases;
the frequency determination module is used for determining a first acquisition frequency of each type of dimensional health data according to the frequency data of each type of case and the multi-dimensional health data corresponding to each type of case by the equipment terminal;
the generating module is used for generating a distribution coefficient of each dimension health data according to the product of the first acquisition frequency and the space occupied by each dimension health data acquisition;
and the distribution module is used for generating a storage space distribution scheme according to the total storage space, the number of the multi-dimensional health data types and the distribution coefficient of each dimension health data type.
In a third aspect of the embodiments of the present invention, there is provided an electronic device, including: memory, a processor and a computer program, the computer program being stored in the memory, the processor running the computer program to perform the method of the first aspect of the invention as well as various possible aspects of the first aspect.
A fourth aspect of the embodiments of the present invention provides a readable storage medium, in which a computer program is stored, the computer program being, when executed by a processor, configured to implement the method according to the first aspect of the present invention and various possible aspects of the first aspect.
The invention provides a processing method and system suitable for multi-dimensional health data. The acquisition frequency of each type of dimensional health data can be intelligently obtained according to the historical case type of the user and the frequency data of each type of case, and the corresponding storage space is allocated according to the acquisition frequency of each type of dimensional health data, so that the space allocation corresponding to the acquisition of the multi-dimensional health data is more reasonable, and the multi-dimensional health data is more suitable for the actual situation of the user; according to the technical scheme provided by the invention, if the dimension health data type is newly added, the residual space is generated according to the space used by each current dimension health data and the distribution space, and the residual space is used for distributing the storage space of the newly added dimension health data type, so that the space distribution is more suitable for the requirements of users, and the availability and the rationality of the space distribution are improved.
According to the technical scheme provided by the invention, the acquisition frequency of the corresponding dimension health data is increased, and the acquisition frequencies of other dimension health data are decreased or unchanged according to the current physical condition of the user, so that the acquisition evaluation rate is more suitable for the actual condition of the user, and the physical condition of the user can be better monitored.
The technical scheme provided by the invention has an autonomous learning iteration function, and through actively adjusting the acquisition frequency of the multi-dimensional health data by a doctor, the frequency adjusted by the doctor is actively recorded to adjust the weight, so that the acquisition frequency is more in line with the requirements of the doctor in the next output process.
According to the technical scheme provided by the invention, the data are randomly generated by utilizing the null value in the time interval of the acquisition frequency, so that the data are changed into virtual data, the personal multidimensional health data of the user can not be read even if being intercepted, the safety of the user data is improved, the hash function is utilized for encryption transmission to a doctor end, the safety of the multidimensional health data of the user is fully ensured, the data safety is ensured by adopting the asymmetry of the hash function, the corresponding data are also mixed data even if the multidimensional health data are intercepted and stolen, and the safety of the multidimensional health data is greatly improved.
Drawings
Fig. 1 is a schematic view of an application scenario of the technical solution provided by the present invention;
FIG. 2 is a flow chart of a first embodiment of a method for processing multidimensional health data;
FIG. 3 is a flow diagram of a second embodiment of a processing method for multidimensional health data;
FIG. 4 is a schematic diagram of a processing system for multidimensional health data;
fig. 5 is a schematic diagram of a hardware structure of an electronic device according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The terms "first," "second," "third," "fourth," and the like in the description and in the claims, as well as in the drawings, if any, are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the invention described herein are capable of operation in sequences other than those illustrated or described herein.
It should be understood that, in various embodiments of the present invention, the sequence numbers of the processes do not mean the execution sequence, and the execution sequence of the processes should be determined by the functions and the internal logic of the processes, and should not constitute any limitation on the implementation process of the embodiments of the present invention.
It should be understood that in the present application, "comprising" and "having" and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
It should be understood that in the present invention, "plural" means two or more. "and/or" is merely an association describing an associated object, meaning that three relationships may exist, e.g., a and/or B, may mean: a exists alone, A and B exist simultaneously, and B exists alone. The character "/" generally indicates that the former and latter associated objects are in an "or" relationship. "comprises A, B and C" and "comprises A, B, C" means that A, B, C comprises all three, "comprises A, B or C" means comprises A, B, C, and "comprises A, B and/or C" means comprises any 1 or any 2 or 3 of A, B, C.
It should be understood that in the present invention, "B corresponding to a", "a corresponds to B", or "B corresponds to a" means that B is associated with a, and B can be determined from a. Determining B from a does not mean determining B from a alone, but may be determined from a and/or other information. And the matching of A and B means that the similarity of A and B is greater than or equal to a preset threshold value.
As used herein, "if" may be interpreted as "at … …" or "when … …" or "in response to a determination" or "in response to a detection", depending on the context.
The technical solution of the present invention will be described in detail below with specific examples. These several specific embodiments may be combined with each other below, and details of the same or similar concepts or processes may not be repeated in some embodiments.
As shown in fig. 1, a scene schematic diagram of the technical scheme provided by the present invention includes an equipment end and a medical person end, where the equipment end is connected with the medical person end, may be a wireless connection or a wired connection, may be a bluetooth connection or a network connection, may be an intelligent watch, an intelligent bracelet, and the like, and may be an intelligent device that can collect multidimensional health data of a user, which is not limited herein, and may be one or more equipment ends, which is not limited herein; the doctor end can be a notebook computer, a mobile phone, a tablet and other intelligent equipment without limitation, and one or more doctor ends can be provided without limitation; the device end collects the multi-dimensional health data of the user and transmits the collected data to the medical end in an encrypted manner, the medical end can send a collection frequency adjustment request to the device end through active input of a doctor to adjust the collection frequency, wherein the multi-dimensional health data can be grip strength, sleep quality, body temperature, heart rate, body fat, blood oxygen, swing amplitude measured by a gyroscope and the like, and the corresponding doctor can evaluate the physical condition of the user according to the grip strength, sleep quality, body temperature, heart rate, body fat, blood oxygen and gyroscope measurement value.
The invention provides a processing method suitable for multi-dimensional health data, as shown in fig. 2, comprising the following steps:
step S110, the user inputs the historical case types and the number data of each type of case to the equipment side. According to the technical scheme provided by the invention, the user inputs the past historical case types and the frequency data of each type of case to the equipment terminal, so that the actual acquisition frequency can be conveniently generated according to the actual conditions of the user, for example: the user has had two types of cases of cold and intestinal dysbacteriosis in the past, the number of times of cold is 10 times and the number of times of intestinal dysbacteriosis is 1 time, the data are input into the equipment end, and the number of times of each type of case is 10 times and 1 time, so that the actual acquisition frequency is conveniently generated subsequently.
And S120, the equipment side determines the number of types of multi-dimensional health data and the multi-dimensional health data corresponding to each type of case according to the historical case types. According to the technical scheme provided by the invention, the equipment end can determine the number of the types of the multi-dimensional health data in the historical case type and the multi-dimensional health data corresponding to each type of case according to the historical case type, so that a first acquisition frequency can be conveniently obtained subsequently; for example: the equipment side can automatically determine the dimension health data related to the cold according to the historical case type of the cold: for example, body temperature, grip strength, heart rate, blood oxygen saturation, dimensional health data related to the disturbance of the intestinal flora: for example, the body fat rate and the grip strength may be obtained, the number of the obtained influencing factors is 4 and 2, the number of the obtained multidimensional health data types is 5, and the body temperature, the grip strength, the heart rate, the blood oxygen saturation and the body fat rate are respectively prepared for the subsequent generation of the acquisition frequency suitable for the user.
Step S130, the equipment end determines a first acquisition frequency of each type of dimensional health data according to the frequency data of each type of case and the multi-dimensional health data corresponding to each type of case. According to the technical scheme provided by the invention, it can be understood that the device end can change the body temperature of the user according to the number of times of cold cases suffered by the user in the past, such as 10 times, and the corresponding multidimensional health data of the cold cases, such as body temperature, grip strength, heart rate and blood oxygen saturation, such as the body temperature of a high fever user can be increased, the heart rate can be accelerated due to the reduction of the blood oxygen saturation caused by pneumonia and the like caused by fever, so that the grip strength is reduced due to the weakness of the user, and the acquisition frequency of the body temperature, the grip strength, the heart rate and the blood oxygen saturation under the cold cases is correspondingly determined to be 10 times according to the number of times of the cold cases, such as 10 times; for example, the number of times of intestinal dysbacteriosis is 1 in the past, the intestinal dysbacteriosis can cause the body fat rate of a user to decrease correspondingly due to the dietary absorption of the user, the muscular fatigue caused by malnutrition correspondingly affects the grip strength, the body fat rate of the intestinal dysbacteriosis and the acquisition frequency of the grip strength are correspondingly determined to be 1 time through the 1 time of the intestinal dysbacteriosis, the first acquisition frequency of the grip strength can be correspondingly determined, for example, the grip strength is 10+1 to 11 times, the initial total acquisition frequency of the grip strength is 11 times, and then the offset processing is performed on the reference acquisition frequency according to the initial total acquisition frequency to obtain the first acquisition frequency of the grip strength, wherein the reference acquisition frequency is a preset initial value of the system according to the quantification of various cases, so that the corresponding storage content is conveniently allocated to the health data of each dimension subsequently.
In a possible implementation manner of the technical solution provided by the present invention, step S130 specifically includes:
setting the initial acquisition frequency of the multidimensional health data corresponding to each type of case as the frequency data of the corresponding type of case to obtain a plurality of initial acquisition frequencies of each type of dimensional health data. According to the technical scheme provided by the invention, the initial acquisition frequency of the multi-dimensional health data under the historical case type is set as the frequency data of each type of case, for example: the user had once had two types of cases of cold and intestinal dysbacteriosis, corresponding to cold 10 times and intestinal dysbacteriosis 1 time, corresponding to dimensional health data related to cold: the initial acquisition frequency of the body temperature is set to be 10 times/day, the initial acquisition frequency of the grip strength is set to be 10 times/day, the initial acquisition frequency of the heart rate is set to be 10 times/day, and the initial acquisition frequency of the blood oxygen saturation is set to be 10 times/day; intestinal dysbacteriosis is carried out for 1 time, and corresponding dimension health data related to the intestinal dysbacteriosis are as follows: the body fat rate may be set, the initial acquisition frequency corresponding to the body fat rate is 1 time/day, the initial acquisition frequency for acquiring the grip strength is 1 time/day, the time may be days, or months or a fixed period of time, which is not limited herein, and the plurality of initial acquisition frequencies corresponding to the obtained grip strength are 1 time/day and 10 times/day.
And summing the plurality of initial acquisition frequencies of each dimension health data to obtain an initial total acquisition frequency of each dimension health data. According to the technical scheme provided by the invention, each case may correspond to multi-dimensional health data, and the health data corresponding to a certain dimension may repeatedly appear in a plurality of cases, a plurality of initial acquisition frequencies are accumulated, so that the subsequent generation of the first acquisition frequency of each dimension health data is facilitated, for example: the user had once had two types of cases of cold and intestinal dysbacteriosis, corresponding to cold 10 times and intestinal dysbacteriosis 1 time, corresponding to dimensional health data related to cold: the initial acquisition frequency of the body temperature is set to be 10 times/day, the initial acquisition frequency of the grip strength is set to be 10 times/day, the initial acquisition frequency of the heart rate is set to be 10 times/day, and the initial acquisition frequency of the blood oxygen saturation is set to be 10 times/day; after 1 time of intestinal dysbacteriosis, corresponding to the dimensional health data related to the intestinal dysbacteriosis: the initial acquisition frequency of the grip strength is 1 time/day, and the initial acquisition frequency of the grip strength is 1 time/day, wherein the initial acquisition frequency of the grip strength appears in cold and intestinal flora imbalance, and the initial total acquisition frequency of the grip strength is 11 times/day by summing a plurality of corresponding initial acquisition frequencies of 10 times/day and 1 time/day, so that the first acquisition frequency can be generated conveniently according to the actual situation of a user.
And offsetting the initial total acquisition frequency of each dimension health data to the reference acquisition frequency of each dimension health data to generate a first acquisition frequency of each dimension health data. According to the technical scheme provided by the invention, the reference acquisition frequency of each dimension health data is subjected to increasing offset or decreasing offset to correspondingly generate the first acquisition frequency of each dimension health data according to the initial total acquisition frequency of each dimension health data, for example: the initial total acquisition frequency of the grip strength of the user is 11 times/day, the reference acquisition frequency of the grip strength health dimension is adjusted, wherein the reference acquisition frequency of each dimension health data is a preset value of the standard acquisition frequency of each dimension health data obtained by the equipment end through quantification according to the data of the past case types, can be uniform fixed value data, such as 1 time/day, can be an initial acquisition frequency set according to the importance degree of each dimension health data, and is not limited herein; and offsetting the reference acquisition frequency of the grip health dimension by the initial total acquisition frequency of the grip of the user being 11 times/day to obtain a first acquisition frequency fitting the user.
The first acquisition frequency for each dimension of health data is obtained by the following formula,
wherein the content of the first and second substances,
first acquisition frequency, w, for the ith dimensional health data i A first acquisition frequency weight value for the ith dimensional health data,
the reference acquisition frequency of the ith dimension health data is shown, n is the upper limit value of the number of the historical case types,
for the initial acquisition frequency of the ith dimension health data in the d type case, E is a constant value, w d And
in direct proportion, by
An initial total acquisition frequency for each dimension of health data may be obtained,
and
in direct proportion, the constant value E may be set artificially. The first acquisition frequency of each dimension health data calculated in the above manner is more suitable for the actual situation of the user.
According to the technical scheme provided by the invention, the first acquisition frequency of each dimension health data fitting the actual situation of the user can be generated through the past cases of the user.
And S140, generating a distribution coefficient of each dimension health data according to the first acquisition frequency and the product of the acquisition occupation space of each dimension health data. According to the technical scheme provided by the invention, the occupied space of each dimension health data is generated according to the product of the first acquisition frequency and the occupied space of each acquisition of each dimension health data, for example: the user has had two types of cases, namely cold and intestinal dysbacteriosis, 10 times of cold and 1 time of intestinal dysbacteriosis, and the first acquisition frequency corresponding to the multidimensional health data can be as follows: the first collection frequency of body temperature is 20 times/day, the first collection frequency of grip strength is 10 times/day, the first collection frequency of heart rate is 200 times/day, the initial collection frequency of oxyhemoglobin saturation is 20 times/day, the first collection frequency of body fat is 20 times/day, the occupation space of every collection of corresponding body temperature is 1KB, the occupation space of every collection of corresponding grip strength is 1KB, the occupation space of every collection of corresponding heart rate is 1KB, the occupation space of every collection of corresponding oxyhemoglobin saturation is 1KB, the occupation space of every collection of corresponding body fat is 1KB, the occupation space of corresponding body temperature is 20KB, the occupation space of corresponding grip strength is 10KB, the occupation space of corresponding heart rate is 200KB, the occupation space of corresponding oxyhemoglobin saturation is 20KB, and the occupation space of corresponding body fat is 20 KB.
In a possible implementation manner of the technical solution provided by the present invention, step S140 specifically includes:
and generating a distribution coefficient of each dimension health data according to the product of the first acquisition frequency of each dimension health data and the occupied space of each acquisition of each dimension health data. According to the technical scheme provided by the invention, the occupied space of each dimension health data can be generated according to the product of the first acquisition frequency and the occupied space of each dimension health data acquisition, for example: the user has had two types of cases, namely cold and intestinal dysbacteriosis, 10 times of cold and 1 time of intestinal dysbacteriosis, and the first acquisition frequency corresponding to the multidimensional health data can be as follows: the first acquisition frequency of the body temperature is 20 times/day, the first acquisition frequency of the grip strength is 10 times/day, the first acquisition frequency of the heart rate is 200 times/day, the initial acquisition frequency of the blood oxygen saturation level is 20 times/day, the distribution coefficient of the body temperature for each acquisition is 1KB, the distribution coefficient of the grip strength for each acquisition is 1KB, the distribution coefficient of the heart rate for each acquisition is 1KB, the distribution coefficient of the blood oxygen saturation level for each acquisition is 1KB, the distribution coefficient of the body temperature for each acquisition is 20KB, the distribution coefficient of the grip strength for each acquisition is 10KB, the distribution coefficient of the heart rate for each corresponding is 200KB, and the distribution coefficient of the blood oxygen saturation for each corresponding is 20 KB.
The distribution coefficient of each dimension health data type is obtained by the following formula,
wherein S is i Assign a coefficient, k, to the ith dimension health data type i Assigning a weight value of a coefficient to the ith dimension health data type,
first acquisition frequency, y, for health data of the ith dimension i Acquiring occupied space for the ith dimension health data type each time, wherein the weight value k of the occupied space of the ith dimension health data type i The health data can be set manually according to different dimension health data types.
According to the technical scheme provided by the invention, the occupied space is fixed according to each dimension of health data acquisition, such as: the body temperature is 20 ℃, the number of characters corresponding to the content and the number of numbers correspondingly occupy a fixed storage space, the distribution coefficient of each dimension health data type is correspondingly obtained according to the first acquisition frequency of the health data without dimensions and the fixed storage space, and the subsequent distribution of the storage space of each dimension health data type is facilitated.
And S150, generating a storage space distribution scheme according to the total storage space, the number of the multi-dimensional health data types and the distribution coefficient of each dimension health data type. The technical solution provided by the present invention is, for example, according to a total storage space of 1024KB (that is, a total storage space of the device), and the number of types of multidimensional health data, for example: the general multidimensional health data which are corresponding to and related to two types of cases of cold and intestinal flora imbalance of a user in the past are body temperature, grip strength, heart rate, blood oxygen saturation and body fat, the number of the corresponding multidimensional health data types is 5, and the distribution coefficient of each multidimensional health data type is as follows: the body temperature distribution coefficient is 20KB, the corresponding grip strength distribution coefficient is 10KB, the corresponding heart rate distribution coefficient is 200KB, the corresponding blood oxygen saturation distribution coefficient is 20KB, and the product of the ratio of each dimension health data type and the total storage space generates a storage space distribution scheme which is more suitable for the actual situation of the user.
In a possible implementation manner of the technical solution provided by the present invention, as shown in fig. 3, step S150 specifically includes:
step S1501, generating total distribution coefficients of the multi-dimensional health data types according to the number of the multi-dimensional health data types and the distribution coefficients of each dimension health data type. The technical scheme provided by the invention comprises the following steps: all past multidimensional health data can be obtained according to past historical cases of a patient, the body temperature distribution coefficient is 20KB, the corresponding grip strength distribution coefficient is 10KB, the corresponding heart rate distribution coefficient is 200KB, the corresponding blood oxygen saturation distribution coefficient is 20KB, the sum of all occupied memory spaces is 20+10+200+20 to 250KB, the total distribution coefficient corresponding to the types of the multidimensional health data is 250KB, and a storage space distribution scheme is convenient to generate subsequently.
Step S1502, generating the percentage of each dimension health data type according to the ratio of the total distribution coefficient of the multi-dimension health data type to the distribution coefficient of each dimension health data type. The technical scheme provided by the invention comprises the following steps: according to the fact that the body temperature distribution coefficient is 20KB, the corresponding grip strength occupation space is 10KB, the corresponding heart rate distribution coefficient is 200KB, the corresponding blood oxygen saturation distribution coefficient is 20KB, and the sum of all occupied memory spaces is 20+10+200+20 to 250KB, it can be understood that the ratio of the corresponding total distribution coefficient of the multidimensional health data types to the distribution coefficient of each dimensional health data type is, for example: the ratio of the body temperature distribution coefficient to the total distribution coefficient, 20/250, for each dimension health data type percentage is 20/250, generating a data percentage for the subsequent generation of a storage space allocation scheme.
And S1503, generating a storage space allocation scheme of each dimension health data type according to the product of the total storage space and the percentage of each dimension health data type. According to the technical scheme provided by the invention, the allocation scheme of the storage space of each dimension health data type is generated according to the product of the total storage space and the percentage of each dimension health data type, and the total storage space is 1024KB, and the total storage space is 1024 multiplied by 20/250 to be the storage space allocated to the body temperature health data type.
The allocation scheme of storage space for each dimension health data type is obtained by the following formula,
wherein the content of the first and second substances,
the storage space allocated for the ith dimension health data type, T is the total storage space, S i Distributing coefficients for the ith dimension health data type, v is the upper limit value of the number of the multi-dimension health data types, S g Assigning coefficients to the g-th dimension health data type,
total distribution of coefficients, q, for multi-dimensional health data types i A storage weight value assigned to the ith dimension health data type.
According to the technical scheme provided by the invention, the storage space of each dimension health data type can be reasonably distributed according to the actual condition of the user, so that the storage space distribution is more reasonable, the classified storage is carried out according to the health dimension, the subsequent traversal calling is facilitated, and the calling reaction speed is increased.
In a possible embodiment, the technical solution provided by the present invention further includes:
and if the new dimension health data type is added, determining the initial acquisition frequency of the new dimension health data in the new type case according to the attribute of the new type case. According to the technical scheme provided by the invention, if newly added types of cases are as follows: the newly added fracture case corresponding multi-dimensional health data is bone density, the newly added dimensional health data type is bone density, the method can quantize according to the fracture case attribute and the previous recurrence data to obtain the initial acquisition frequency of the fracture, namely the initial acquisition frequency of the fracture case is set according to the probability of the occurrence of the past fracture case, the reference acquisition frequency of the newly added dimensional health data is subjected to offset processing to obtain the second acquisition frequency of the newly added dimensional health data type, and the subsequent allocation of storage space of the newly added dimensional health data type is facilitated.
And the initial acquisition frequency of the newly added dimension health data shifts the reference acquisition frequency of the newly added dimension health data to obtain a second acquisition frequency of the newly added dimension health data type. According to the technical scheme provided by the invention, the initial acquisition frequency of the fracture is obtained by quantizing according to the attributes of the fracture cases and the conventional recurrence data, namely, the standard value is obtained by quantizing according to the occurrence probability of the past fracture cases, namely, the initial acquisition frequency of the fracture cases set by the system, the reference acquisition frequency of the newly added dimension health data is subjected to offset processing to obtain the second acquisition frequency of the newly added dimension health data type, and the storage space of the newly added dimension health data type is distributed in the subsequent process.
And generating a distribution coefficient of the newly added dimension health data type according to the second acquisition frequency and the occupied space of the newly added dimension health data type acquired each time. According to the technical scheme provided by the invention, the newly added dimensionality health data type occupation space is generated according to the second acquisition frequency and the occupation space acquired by the newly added dimensionality health data type each time, for example, the second acquisition frequency of the bone density is 1 time/day, the occupation space acquired by the corresponding bone density each time is 1KB, and the bone density distribution coefficient is 1 KB.
And generating the residual storage space of each dimension health data type according to the storage space distributed by each dimension health data type and the difference value of the storage space occupied by each dimension health data type. According to the technical scheme provided by the invention, the residual storage space of each dimension health data type is generated according to the storage space allocated to each dimension health data type and the difference value of the storage space occupied by each dimension health data type, and it can be understood that the residual space of each dimension health data type is correspondingly obtained according to the storage space allocated to each dimension health data type and the difference value of the current occupied space.
And summing the residual storage spaces of each dimension health data type to generate a total residual storage space. According to the technical scheme provided by the invention, the total residual storage space is obtained by summing the residual storage spaces of each dimension health data type, so that the total residual storage space is conveniently distributed in the follow-up process.
And determining the newly increased capacity of the newly increased dimension health data type according to the total residual storage space, the newly increased dimension health data type distribution coefficient and the total multi-dimension health data type distribution coefficient. According to the technical scheme provided by the invention, the sum of the occupation space of the newly-added case type and the total occupation space of the multidimensional health data type is used for obtaining the calculated total occupation space, and the percentage obtained by solving the ratio of the occupation space of the newly-added case type and the calculated total occupation space is multiplied by the total residual storage space to obtain the newly-added capacity of the newly-added dimensional health data type.
The new capacity of the new dimension health data type is obtained through the following formula,
wherein, T New New capacity, m, for new dimension health data types New A weight value of the newly added capacity for the newly added dimension health data type, p is an upper limit value of the number of the multi-dimension health data types,
storage space allocated for the ith dimension health data type,
the storage space occupied for the ith dimension health data type,
e is a second acquisition frequency weight value of the newly added dimension health data,
a reference acquisition frequency of newly-added dimension health data, G is an initial acquisition frequency of newly-added dimension health data in newly-added type cases, and y New Space is occupied for newly adding the dimension health data type,
and T New In the inverse proportion,
and T New In direct proportion, by
A second acquisition frequency is obtained.
According to the technical scheme provided by the invention, the storage space can be distributed to the newly added dimension health data type, and the memory is redistributed according to the current residual space, so that the space distribution is more reasonable, and the subsequent data calling is convenient.
In a possible embodiment, the technical solution provided by the present invention further includes:
and the equipment end performs offset processing on the first acquisition frequency of each dimension health data according to the residual storage space of each dimension health data type to obtain a third acquisition frequency, and transmits the multi-dimension health data to the doctor end according to the third acquisition frequency. According to the technical scheme provided by the invention, under the condition that a user has no pain, the equipment end carries out offset processing on the first acquisition frequency of each dimension health data according to the residual storage space of each dimension health data type to obtain a third acquisition frequency, and transmits the multi-dimensional health data to the doctor end according to the third acquisition frequency, namely the equipment per se acquires the data at the first acquisition frequency, but transmits the data at the third acquisition frequency when transmitting the data to the doctor, and the transmission of the third acquisition frequency is related to the residual space, the acquisition and transmission frequencies are adjusted according to the residual size of the memory, the smaller the space of the remaining storage space corresponding to each dimension health data type is, the smaller the first acquisition frequency of each dimension health data is adjusted, and the larger the space of the remaining storage space corresponding to each dimension health data type is, the larger the first acquisition frequency of each dimension health data is adjusted to obtain a third acquisition frequency.
The third acquisition frequency is obtained by the following formula,
wherein the content of the first and second substances,
in order to be the third acquisition frequency,
dimension J-th health data type allocated storage space,
is a J-th dimension keyThe memory space occupied by the health data type,
p is an upper limit value of the number of multi-dimensional health data types,
is the weight value of the third acquisition frequency. According to the technical scheme provided by the invention, the data acquisition frequency can be adjusted according to the residual memory of the equipment in a normal state, the transmission is correspondingly reduced when the equipment stores a large amount of data in the normal state, the comprehensive data volume is sufficient, the acquisition frequency is improved when the residual memory is small, the comprehensive data volume is small, so that a patient can maintain the healthy data in a sufficient state in a multidimensional way constantly, the subsequent data acquisition volume of the user is convenient, and the physical condition of the user can be well known.
The method comprises the steps that a user inputs a current case type into an equipment end, and the equipment end determines a multi-dimensional health data type corresponding to the current case type according to the current case type. According to the technical scheme provided by the invention, the equipment end can determine the corresponding multi-dimensional health data type influenced by the cold according to the current case type input by the user, such as the current cold of the user, and can perform real-time monitoring.
The equipment terminal determines a first acquisition frequency of each dimension health data corresponding to the current case type according to the multi-dimension health data type corresponding to the current case type. According to the technical scheme provided by the invention, a user can determine the body temperature, the grip strength, the heart rate and the blood oxygen saturation of the multi-dimensional health data type affected by the cold according to the cold at present, correspondingly determine the first acquisition frequency of the body temperature, the grip strength, the heart rate and the blood oxygen saturation, and acquire the current acquisition frequency corresponding to the type of the multi-dimensional health data through the type of the multi-dimensional health data.
The equipment side obtains a first degree difference value of the multi-dimensional health data type according to a difference value between a measured value of the multi-dimensional health data type corresponding to the current case type and a preset value of the multi-dimensional health data type. According to the technical scheme provided by the invention, the equipment side obtains the first degree difference value of the multi-dimensional health data type according to the difference value between the measured value of the multi-dimensional health data type corresponding to the case the user currently suffers from and the preset value of the multi-dimensional health data type, for example, the user currently suffers from a cold, and it can be understood that monitoring on the related multi-dimensional health data type of the cold needs to be strengthened, and the degree value is obtained through the current measured value and the preset value, for example: the lower body temperature was 37 deg.C, the body temperature preset value (standard value) was 36 deg.C, and the first degree difference corresponding to the body temperature was 1 deg.C.
And adjusting the first acquisition frequency according to the first degree difference and the preset value of the multi-dimensional health data type to obtain a fourth acquisition frequency. According to the technical scheme provided by the invention, the first acquisition frequency is adjusted according to the first degree difference and the preset value of the multi-dimensional health data type to obtain the fourth acquisition frequency, the adjusted acquisition frequency is determined according to the difference when the first degree difference of the body temperature is 1 ℃, the acquisition frequency is larger when the corresponding difference is larger, and data acquisition or extraction is only carried out on the time period from the moment when the user suffers from the cold.
The equipment terminal collects the multi-dimensional health data based on the fourth collection frequency and encrypts and transmits the multi-dimensional health data to the medical terminal. According to the technical scheme provided by the invention, the equipment terminal acquires the multi-dimensional health data based on the fourth acquisition frequency and encrypts the data to transmit the data to the doctor terminal, and the safety of the multi-dimensional health data of the user is guaranteed by encrypting the data after the data are acquired.
In a possible implementation manner, in the step of adjusting the first acquisition frequency according to the first degree difference and the preset value of the multi-dimensional health data type to obtain a third acquisition frequency, the technical solution provided by the present invention specifically includes:
and obtaining the percentage of the first degree difference according to the ratio of the first degree difference to a preset value of the multi-dimensional health data type. The technical scheme provided by the invention comprises the following steps: the percentage of the first degree difference in body temperature 1/36 was obtained from the ratio of the first degree difference in body temperature of 1 deg.C to the preset value for body temperature (normalized value) of 36 deg.C.
And carrying out offset processing on the first acquisition frequency according to the first degree difference percentage to obtain a fourth acquisition frequency of each dimension health data corresponding to the current case type. The technical scheme provided by the invention comprises the following steps: and carrying out offset processing on the first acquisition frequency of the body temperature for 20 times/day according to the first degree difference percentage 1/36 of the body temperature to obtain an offset value, and accumulating the first acquisition frequency.
The fourth acquisition frequency is obtained by the following formula,
wherein, among others,
a fourth acquisition frequency of the i-th dimension health data corresponding to the current case type,
a first acquisition frequency for the ith dimensional health data corresponding to the current case type,
for the measured value of the ith dimension health data type corresponding to the current case type,
is a preset value of the ith dimension health data type corresponding to the current case type,
a fourth acquisition frequency weight value for the ith dimensional health data corresponding to the current case type,
and
proportional ratio, openFor treating
And obtaining the offset value of the first acquisition frequency of the ith dimension health data corresponding to the current case type.
The technical scheme provided by the invention can be used for example according to the actual situation of the user in reality: when the cold has a fever, the data of corresponding dimensionality is monitored, collected and the collection frequency is increased, and only the data from the moment to the cold fever moment is collected, so that the requirements of users are met.
In a possible embodiment, the technical solution provided by the present invention further includes:
and according to the fifth acquisition frequency of the ith dimension health data actively input by the medical staff end. According to the technical scheme provided by the invention, a doctor may feel that the acquisition frequency of certain dimension health data output by the system is too large or too small, and adjust the acquisition frequency according to the actual situation to obtain the fifth acquisition frequency.
And obtaining a frequency adjustment trend according to the difference value of the fifth acquisition frequency and the fourth acquisition frequency. According to the technical scheme provided by the invention, the trend of increasing or decreasing is obtained according to the difference value of the fifth acquisition frequency and the fourth acquisition frequency adjusted by a doctor.
And adjusting a fourth acquisition frequency weight value of the ith dimension health data corresponding to the current case type according to the frequency adjustment trend to obtain an adjusted fourth acquisition frequency weight value. According to the technical scheme provided by the invention, the memorability of the weight values of the four acquisition frequencies can be adjusted according to the increasing trend or the decreasing trend, so that the requirement of a doctor can be met when the system outputs the adjustment frequency next time, and the function of independently learning iterative data is realized.
The adjusted fourth acquisition frequency weight value is obtained by the following formula,
wherein the content of the first and second substances,
for a fifth acquisition frequency of the ith dimensional health data,
for the fourth acquisition frequency of the ith dimensional health data,
for the adjusted fourth acquisition frequency weight value,
fourth acquisition frequency weight value, δ, for the ith dimensional health data 1 For acquiring frequency increasing trend adjustment value delta 2 And collecting a frequency reduction trend adjustment value.
According to the technical scheme provided by the invention, the training learning of the iterative function realization model with the self-learning function enables the acquisition frequency output by the system to be more suitable for the requirements of doctors, and the real-time diagnosis or the checking of the user data by the doctors is facilitated.
In a possible implementation manner, the step of acquiring, encrypting and transmitting the multidimensional health data to the medical end based on the fourth acquisition frequency at the equipment end specifically includes:
and after the equipment end receives the sending request, the equipment end collects the multi-dimensional health data based on the fourth collection frequency to generate first data to be sent. According to the technical scheme provided by the invention, when a user catches a cold, the user can select the multidimensional health data related to the cold, such as body temperature and the like, and after the equipment receives the sending request, the multidimensional health data are collected based on the fourth collection frequency to generate the first data to be sent.
And the equipment end determines the data null moment of the first data to be transmitted according to the fourth acquisition frequency. According to the technical scheme provided by the invention, the data are acquired once every 3 seconds for example according to the fourth acquisition frequency, and then the situation that the acquired body temperature data at the following moment of 13:00:00 is 36 ℃, the acquired body temperature data at the previous moment of 12:59:57 is 36.1 ℃, and the data at the corresponding moments of 12:59:58 and 12:59:59 is null is assumed, namely the data null moments of 12:59:58 and 12:59:59 are determined.
And the equipment side randomly generates data at the data null value moment of the first data to be sent to obtain virtual data. According to the technical scheme provided by the invention, the equipment end randomly generates a numerical value at the null value time on the basis of the original data according to the data null value time of the first data to be transmitted, and can select to generate one or more numerical values, such as: every 3 seconds, assuming that the collected body temperature data at the next time is 13:00:00 is 36 ℃, the collected body temperature data at the next time is 12:59:57 is 36.1 ℃, the data at the corresponding time of 12:59:58 and 12:59:59 is null, namely, the data null time is determined to be 12:59:58 and 12:59:59, the value corresponding to 12:59:59 can be a continuous null, 12:59:58 can generate a random body temperature number, such as 37 ℃, the collected body temperature data at the previous time of 12:59:54 is 36.1 ℃, the null time corresponding to the data is 12:59:55 and 12:59:56, the value corresponding to 12:59:55 can be a random value, such as 38 ℃, the value at the time of 12:59:56 is 39 ℃, the generated data is 13:00:00-36 ℃, 12:59: 59-null, 12:59:58-37 ℃, 12:59:57-36.1 ℃, 12:59:56-39 ℃, 12:59:55-37 ℃, 12:59:54-36.1 ℃, randomly generating numerical value insertion according to frequency intervals, generating a sequence distributed according to time to correspondingly improve the safety of user data for virtual data, subsequently generating an identification code by a fourth acquisition frequency, transmitting the identification code to a doctor end, wherein the doctor has a corresponding identification table of the identification code, the doctor can find the identification code with the same numerical value in the identification table according to the identification code to obtain a fourth acquisition frequency, and inputting the fourth acquisition frequency to pick out correct multidimensional health data in the virtual data at the doctor end, for example, the identification code generated by the fourth acquisition frequency can be a binary code, the corresponding identification table is a comparison table of the binary code, for example, the fourth acquisition frequency is acquired 1 time every 3 seconds, and the corresponding identification code is 11, the fourth acquisition frequency is that the corresponding identification code is 110 acquired 1 time every 6 seconds, 1 corresponds to 1 second once, 10 corresponds to 2 seconds once, 11 corresponds to 3 seconds once, 100 corresponds to 4 seconds once in the identification table of the corresponding doctor, and so on, the corresponding doctor can obtain the fourth acquisition frequency of 3 seconds of numerical value in the identification table according to 11, and the corresponding doctor end extracts correct multi-dimensional health data according to the fourth acquisition frequency from the first sequence in the sequence distributed according to time, wherein the first sequence is the sequence closest to the current time and selects the actual multi-dimensional health data of the user.
And the equipment end encrypts and transmits the virtual data to the medical end by using the random number and the numerical value of the fourth acquisition frequency through a hash function. According to the technical scheme provided by the invention, the equipment end encrypts each dimension health data by using the hash function and the key generated by the numerical value of the third acquisition frequency, the security of the user data is increased due to the asymmetry of encryption and the randomness of the random number, meanwhile, the keys generated by different numerical values of the third acquisition frequency of each dimension health data are different, the sending key of each dimension health data is correspondingly generated, and the security of the multi-dimension health data is increased due to the key of each dimension.
The sending key of each dimension health data is obtained by the following formula,
wherein e is i The sending key of the ith dimension health data is hash (), theta is a random number, | is a concatenation,
the fourth acquisition frequency.
According to the technical scheme provided by the invention, the data null moment is determined by acquiring the frequency, the random number is inserted into the generated virtual data, the safety of the user data is improved, the personal health data of the user cannot be decoded even if the data is stolen, and the safety of the user data is improved by fusing the virtual data and the transmitted data and encrypting each dimension of health data through a hash function.
In order to better implement the processing method applicable to the multidimensional health data provided by the present invention, the present invention further provides a processing system applicable to the multidimensional health data, as shown in fig. 4, including:
the input module is used for inputting the types of the historical cases and the times data of each type of case to the equipment end by a user;
the data determination module is used for determining the number of types of multi-dimensional health data and the multi-dimensional health data corresponding to each type of case by the equipment terminal according to the types of the historical cases;
the frequency determination module is used for determining a first acquisition frequency of each type of dimensional health data according to the frequency data of each type of case and the multi-dimensional health data corresponding to each type of case by the equipment terminal;
the generating module is used for generating the occupation space of each dimension health data according to the first acquisition frequency and the product of the occupation space of each dimension health data acquisition;
and the distribution module is used for generating a storage space distribution scheme according to the total storage space, the number of the multi-dimensional health data types and the occupied space of each dimension health data type.
As shown in fig. 5, which is a schematic diagram of a hardware structure of an electronic device according to an embodiment of the present invention, the electronic device 50 includes: a processor 51, a memory 52 and computer programs; wherein
A memory 52 for storing the computer program, which may also be a flash memory (flash). The computer program is, for example, an application program, a functional module, or the like that implements the above method.
A processor 51 for executing the computer program stored by the memory to implement the various steps performed by the apparatus in the above-described method. Reference may be made in particular to the description relating to the preceding method embodiment.
Alternatively, the memory 52 may be separate or integrated with the processor 51.
When the memory 52 is a device independent of the processor 51, the apparatus may further include:
a bus 53 for connecting the memory 52 and the processor 51.
The present invention also provides a readable storage medium, in which a computer program is stored, which, when being executed by a processor, is adapted to implement the methods provided by the various embodiments described above.
The readable storage medium may be a computer storage medium or a communication medium. Communication media includes any medium that facilitates transfer of a computer program from one place to another. Computer storage media may be any available media that can be accessed by a general purpose or special purpose computer. For example, a readable storage medium is coupled to the processor such that the processor can read information from, and write information to, the readable storage medium. Of course, the readable storage medium may also be an integral part of the processor. The processor and the readable storage medium may reside in an Application Specific Integrated Circuits (ASIC). Additionally, the ASIC may reside in user equipment. Of course, the processor and the readable storage medium may also reside as discrete components in a communication device. The readable storage medium may be a read-only memory (ROM), a random-access memory (RAM), a CD-ROM, a magnetic tape, a floppy disk, an optical data storage device, and the like.
The present invention also provides a program product comprising execution instructions stored in a readable storage medium. The at least one processor of the device may read the execution instructions from the readable storage medium, and the execution of the execution instructions by the at least one processor causes the device to implement the methods provided by the various embodiments described above.
In the above embodiments of the apparatus, it should be understood that the Processor may be a Central Processing Unit (CPU), other general purpose processors, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), etc. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of a method disclosed in connection with the present invention may be embodied directly in a hardware processor, or in a combination of the hardware and software modules within the processor.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present invention.
Claims (10)
1. A processing method suitable for multi-dimensional health data is characterized by comprising the following steps:
the user inputs the types of the historical cases and the times data of each type of case into the equipment end;
the equipment end determines the number of types of multi-dimensional health data and the multi-dimensional health data corresponding to each type of case according to the historical case types;
the equipment end determines a first acquisition frequency of each type of dimensional health data according to the frequency data of each type of case and the multi-dimensional health data corresponding to each type of case;
generating a distribution coefficient of each dimension health data according to the product of the first acquisition frequency and the occupied space of each dimension health data acquisition;
and generating a storage space distribution scheme according to the total storage space, the number of the multi-dimensional health data types and the distribution coefficient of each dimension health data type.
2. The method of claim 1,
in the step of determining, at the device side, the first acquisition frequency of each type of dimensional health data according to the number data of each type of case and the multidimensional health data corresponding to each type of case, the method specifically includes:
setting the initial acquisition frequency of the multidimensional health data corresponding to each type of case as the frequency data of the corresponding type of case to obtain a plurality of initial acquisition frequencies of each type of dimensional health data;
summing the plurality of initial acquisition frequencies of each dimension health data to obtain an initial total acquisition frequency of each dimension health data;
shifting the initial total acquisition frequency of each dimension health data to the reference acquisition frequency of each dimension health data to generate a first acquisition frequency of each dimension health data;
the first acquisition frequency for each dimension of health data is obtained by the following formula,
wherein the content of the first and second substances,
first acquisition frequency, w, for health data of the ith dimension i A first acquisition frequency weight value for the ith dimensional health data,
the reference acquisition frequency of the ith dimension health data is shown, n is the upper limit value of the number of the historical case types,
for the initial acquisition frequency of the ith dimensional health data in the d type case, E is a constant value.
3. The method of claim 2,
in the step of generating the distribution coefficient of each dimension health data according to the product of the first acquisition frequency and the space occupied by each acquisition of each dimension health data, the method specifically includes:
generating a distribution coefficient of each dimension health data according to the first acquisition frequency of each dimension health data and the product of the occupied space of each acquisition of each dimension health data;
the distribution coefficient of each dimension health data type is obtained by the following formula,
wherein S is i Assign coefficient, k, to the ith dimension health data type i Assigning a weight value of a coefficient to the ith dimension health data type,
first acquisition frequency, y, for health data of the ith dimension i The space occupied by each acquisition is the ith dimension health data type.
4. The method of claim 3,
in the step of generating the storage space allocation scheme according to the total storage space, the number of the multi-dimensional health data types, and the allocation coefficient of each of the dimensional health data types, the method specifically includes:
generating a total distribution coefficient of the multi-dimensional health data types according to the number of the multi-dimensional health data types and the distribution coefficient of each dimension health data type;
generating the percentage of each dimension health data type according to the ratio of the total distribution coefficient of the multi-dimension health data type to the distribution coefficient of each dimension health data type;
generating a storage space allocation scheme for each dimension health data type according to the product of the total storage space and the percentage of each dimension health data type;
the allocation scheme of storage space for each dimension health data type is obtained by the following formula,
wherein, the first and the second end of the pipe are connected with each other,
the storage space allocated for the ith dimension health data type, T is the total storage space, S i Distributing coefficients for the ith dimension health data type, v is the upper limit value of the number of the multi-dimension health data types, S g Assigning coefficients to the g-th dimension health data type,
total distribution coefficient, q, for multidimensional health data types i A storage weight value assigned to the ith dimension health data type.
5. The method of claim 4, further comprising:
if the newly added dimension health data type is adopted, determining the initial acquisition frequency of the newly added dimension health data in the newly added type case according to the attribute of the newly added type case;
the initial acquisition frequency of the newly added dimension health data shifts the reference acquisition frequency of the newly added dimension health data to obtain a second acquisition frequency of the newly added dimension health data type;
generating a newly added dimension health data type distribution coefficient according to the second acquisition frequency and the occupied space of the newly added dimension health data type acquired each time;
generating the residual storage space of each dimension health data type according to the storage space distributed by each dimension health data type and the difference value of the storage space occupied by each dimension health data type;
summing the remaining storage spaces of each dimension health data type to generate a total remaining storage space;
determining the newly increased capacity of the newly increased dimension health data type according to the total residual storage space, the newly increased dimension health data type distribution coefficient and the total multi-dimension health data type distribution coefficient;
the new capacity of the new dimension health data type is obtained through the following formula,
wherein, T New New capacity, m, for new dimension health data types New A weight value of the newly added capacity for the newly added dimension health data type, p is an upper limit value of the number of the multi-dimension health data types,
storage space allocated for the ith dimension health data type,
the storage space occupied for the ith dimension health data type,
e is a second acquisition frequency weight value of the newly added dimension health data,
a reference acquisition frequency of newly-added dimension health data, G is an initial acquisition frequency of newly-added dimension health data in newly-added type cases, and y New And collecting occupied space for the newly-added dimension health data type each time.
6. The method of claim 5, further comprising:
the equipment side carries out offset processing on the first acquisition frequency of each dimension health data according to the residual storage space of each dimension health data type to obtain a third acquisition frequency, and transmits the multi-dimension health data to the medical side according to the third acquisition frequency;
a user inputs a current case type into an equipment end, and the equipment end determines a multi-dimensional health data type corresponding to the current case type according to the current case type;
the equipment terminal determines a first acquisition frequency of each dimension health data corresponding to the current case type according to the multi-dimension health data type corresponding to the current case type;
the equipment side obtains a first degree difference value of the multi-dimensional health data type according to the difference value between the measured value of the multi-dimensional health data type corresponding to the current case type and the preset value of the multi-dimensional health data type;
adjusting the first acquisition frequency according to the first degree difference and a preset value of the multi-dimensional health data type to obtain a fourth acquisition frequency;
the equipment terminal collects the multi-dimensional health data based on the fourth collection frequency and encrypts and transmits the multi-dimensional health data to the medical terminal.
7. The method of claim 6,
in the step of adjusting the first acquisition frequency according to the first degree difference and the preset value of the multi-dimensional health data type to obtain a fourth acquisition frequency, the method specifically includes:
obtaining a first degree difference percentage according to the ratio of the first degree difference to a preset value of the multi-dimensional health data type;
performing migration processing on the first acquisition frequency according to the first degree difference percentage to obtain a fourth acquisition frequency of each dimension health data corresponding to the current case type;
the fourth acquisition frequency is obtained by the following formula,
wherein the content of the first and second substances,
a fourth acquisition frequency of the i-th dimension health data corresponding to the current case type,
a first acquisition frequency of the i-th dimension health data corresponding to the current case type,
for the measured value of the ith dimension health data type corresponding to the current case type,
is a preset value of the ith dimension health data type corresponding to the current case type,
and the fourth acquisition frequency weight value is the ith dimension health data corresponding to the current case type.
8. The method of claim 7, further comprising:
according to a fifth acquisition frequency of the ith dimension health data actively input by the doctor end;
obtaining a frequency adjustment trend according to the difference value of the fifth acquisition frequency and the fourth acquisition frequency;
adjusting a fourth acquisition frequency weight value of the ith dimension health data corresponding to the current case type according to the frequency adjustment trend to obtain an adjusted fourth acquisition frequency weight value;
the adjusted fourth acquisition frequency weight value is obtained by the following formula,
wherein the content of the first and second substances,
for the fifth acquisition frequency of the ith dimensional health data,
for the fourth acquisition frequency of the ith dimensional health data,
for the adjusted fourth acquisition frequency weight value,
fourth acquisition frequency weight, δ, for the ith dimension health data 1 For acquiring frequency increasing trend adjustment value delta 2 And collecting a frequency reduction trend adjustment value.
9. The method of claim 8,
in the step of collecting the multi-dimensional health data and encrypting and transmitting the data to the medical end based on the fourth collecting frequency at the equipment end, the method specifically comprises the following steps:
after the equipment end receives the sending request, the equipment end collects the multi-dimensional health data based on the fourth collection frequency to generate first data to be sent;
the equipment end determines the data null moment of the first data to be transmitted according to the fourth acquisition frequency;
the equipment randomly generates data at the moment of the null value of the first data to be sent to obtain virtual data;
and the equipment end encrypts and transmits the virtual data to the medical end by using the random number and the numerical value of the fourth acquisition frequency through a hash function.
10. A processing system adapted for multidimensional health data, comprising:
the input module is used for inputting the types of the historical cases and the times data of each type of case to the equipment end by a user;
the data determination module is used for determining the number of types of multi-dimensional health data and the multi-dimensional health data corresponding to each type of case by the equipment terminal according to the types of the historical cases;
the frequency determination module is used for determining a first acquisition frequency of each type of dimensional health data according to the frequency data of each type of case and the multi-dimensional health data corresponding to each type of case by the equipment terminal;
the generating module is used for generating each dimension health data distribution coefficient according to the first acquisition frequency and the product of the acquired occupied space of each dimension health data;
and the distribution module is used for generating a storage space distribution scheme according to the total storage space, the number of the multi-dimensional health data types and the distribution coefficient of each dimension health data type.
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