CN111370125B - Big health AI (AI) prevention management system and method based on 5G and block chain - Google Patents
Big health AI (AI) prevention management system and method based on 5G and block chain Download PDFInfo
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- CN111370125B CN111370125B CN202010163204.2A CN202010163204A CN111370125B CN 111370125 B CN111370125 B CN 111370125B CN 202010163204 A CN202010163204 A CN 202010163204A CN 111370125 B CN111370125 B CN 111370125B
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- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
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Abstract
The invention discloses a large health AI (AI) prevention management system and a method based on 5G and a block chain, which comprises a wearable detection device, a signal conversion module and an intelligent processing center, wherein the wearable detection device dynamically detects physical sign indexes of a health management user, and the signal conversion module reads an electronic signal transmitted by the wearable detection device, generates a physical sign sequence of the health management user and sends the physical sign sequence to the intelligent processing center; the intelligent processing center reads a standard sequence corresponding to the health management user in the medical block according to the sign sequence of the health management user sent by the signal conversion module, compares the standard sequence with the sign sequence of the health management user generated by the signal conversion module, judges whether the sign indexes of the health management user are normal or not and processes the sign sequences.
Description
Technical Field
The invention relates to the field of big health management, in particular to a big health AI prevention management system and method based on 5G and a block chain.
Background
The aging problem of the population in China is more and more severe, the population suffering from the disease also presents a low-aging trend along with the existence of diseases such as chronic diseases, the occurrence of the conditions brings comprehensive challenges to the medical industry, and the management and control of the physical condition of people are a very important problem. At present, the general practice is to go to a hospital for examination or perform physical examination for a fixed time when the disease is found in the sick people, so that the practice has no good preventive property for chronic diseases, people easily ignore certain symptoms appearing on the body, and the real-time property of the data is not good, so that the real-time monitoring on the human health index is very necessary.
The 5G network is gradually replacing the 4G communication network as a latest generation network communication technology, and compared with the fourth generation mobile network, the 5G network has the characteristics of super large network capacity and connection capacity, greatly improved flow density and connection number density, and the like. When the devices are connected through the network, the communication speed is greatly influenced by the connection quantity, the load of the system connection of the devices can also be rapidly increased along with the continuous increase of the number of network users with requirements, the problems of insufficient system operation, poor access quality, overhigh temperature, disordered setting, even equipment crash and the like can be caused, the problems of change or loss and the like of data in the operations of storage, calling and the like can be caused, and particularly, the accuracy and good operation of data transmission of the network system are very important when the network system is applied to the aspect of medical health.
Disclosure of Invention
The invention provides a large health AI prevention management system and method based on 5G and a block chain, which aims to solve the problems.
A big health AI prevention management method based on 5G and a block chain comprises the following steps:
the wearable detection device dynamically detects physical sign indexes of a health management user and keeps synchronous signal communication with the signal conversion module in the form of electronic signals through a 5G network;
the signal conversion module reads the electronic signal transmitted by the wearable detection device, generates a physical sign sequence of the health management user and sends the physical sign sequence to the intelligent processing center;
the intelligent processing center is connected to the medical treatment block chain through a 5G network, and reads a standard sequence corresponding to the health management user in the medical treatment block according to the physical sign sequence of the health management user sent by the signal conversion module;
the intelligent processing center compares and calculates the standard sequence with the physical sign sequence of the health management user generated by the signal conversion module, judges whether the physical sign indexes of the health management user are normal or not, and judges that the result is abnormal when the difference value of the same physical sign indexes of the two sequences is larger than a critical value set by a system;
if the judgment result is abnormal, the intelligent processing center feeds back the abnormal physical sign index to the wearable detection device to remind the health management user; and if the judgment result is normal, taking the physical sign sequence of the health management user as a new standard sequence, and updating the standard sequence corresponding to the health management user in the medical block.
A big health AI preventive management system based on 5G and block chain comprises:
the wearable detection device is used for dynamically detecting physical sign indexes of the health management user and keeping synchronous signal communication with the signal conversion module in the form of electronic signals through a 5G network;
the signal conversion module is used for reading the electronic signal transmitted by the wearable detection device, generating a sign sequence of the health management user and sending the sign sequence to the intelligent processing center;
the intelligent processing center comprises a first storage unit and a second storage unit, is connected to the medical block chain through a 5G network, and is used for reading a standard sequence corresponding to a health management user in the medical block according to the sign sequence of the health management user sent by the signal conversion module, comparing and calculating the standard sequence with the sign sequence of the health management user generated by the signal conversion module, judging whether the sign indexes of the health management user are normal or not, and feeding back the abnormal sign indexes to the wearable detection device when the judgment result is abnormal to remind the health management user; and when the judgment result is normal, correcting the sign sequence of the health management user to be used as a new standard sequence, and updating the standard sequence corresponding to the health management user in the medical block.
The invention realizes the physical sign index data monitoring of the health management user by utilizing the portable wearable detection device and the 5G network communication technology, not only replaces the traditional physical examination and other modes, but also has good real-time performance, can well prevent chronic diseases, and can detect symptoms which are easy to be ignored by people.
By detecting and warning the number of the surrounding wearable detection devices connected with the signal conversion module, the network load of the signal conversion module can be limited within a rated range, network access can be prevented in time or the access mode can be changed, the problems of insufficient operation and storage, poor access quality, overhigh temperature and the like of a system can be prevented, and the good operation of the system can be ensured; in addition, the physical sign indexes in the physical sign sequence of the health management user are corrected through data in the block chain, so that the accuracy of the physical sign indexes in the electronic signal state is guaranteed, and the monitoring and the prevention of diseases are realized.
Drawings
FIG. 1 is a system diagram of the management system of the present invention.
Detailed Description
The invention is further illustrated by the following specific examples:
a big health AI prevention management method based on 5G and a block chain specifically comprises the following steps:
the wearable detection device dynamically detects physical sign indexes of a health management user and keeps synchronous signal communication with the signal conversion module in the form of electronic signals through a 5G network;
the intelligent processing center warns the number of the surrounding wearable detection devices connected with the signal conversion module, and the intelligent processing center comprises the following specific steps:
step 1, uploading the rated connection quantity of the signal conversion module to a first storage unit, and sending the geographic position of the signal conversion module and the geographic positions of all wearable detection devices to the first storage unit;
step 2, the intelligent processing center calls the geographic positions of all the wearable detection devices and the geographic position of the signal conversion module in the first storage unit, calculates the distance between each wearable detection device and the signal conversion module, and sends the calculation result to the second storage unit;
step 3, the intelligent processing center processes the stored information once at intervals, and the number of the wearable detection devices, the distance between which and the signal conversion module is smaller than a preset value, is used as the number of the peripheral wearable detection devices connected with the current signal conversion module;
and 4, comparing the number of the peripheral wearable detection devices connected with the current signal conversion module with the rated connection quantity of the signal conversion module, if the number of the peripheral wearable detection devices connected with the current signal conversion module exceeds the rated connection quantity of the signal conversion module, generating an overload alarm signal, and storing the real-time connection quantity, the timestamp and the alarm signal of the signal conversion module to a medical block chain together.
The signal conversion module reads the electronic signal transmitted by the wearable detection device, generates a physical sign sequence of the health management user and sends the physical sign sequence to the intelligent processing center;
the intelligent processing center is connected to the medical treatment block chain through a 5G network, and reads a standard sequence corresponding to the health management user in the medical treatment block according to the physical sign sequence of the health management user sent by the signal conversion module;
the intelligent processing center compares and calculates the standard sequence with the physical sign sequence of the health management user generated by the signal conversion module, judges whether the physical sign indexes of the health management user are normal or not, and judges that the result is abnormal when the difference value of the same physical sign indexes of the two sequences is larger than a critical value set by a system;
if the judgment result is abnormal, the intelligent processing center feeds back the abnormal physical sign index to the wearable detection device to remind the health management user; if the judgment result is normal, correcting the sign sequence of the health management user to be used as a new standard sequence, and updating the standard sequence corresponding to the health management user in the medical block;
specifically, each sign sequence contains at most 10 individual sign indexes, a standard sequence and a historical sequence corresponding to a health management user in a medical block are read from a block chain according to a sign sequence seq of the health management user, and each sign index contained in the sign sequence seq of the health management user is corrected to obtain a corrected sign index m (seq):
recording the sequence saved by the health management user history in the block chain and the maximum sign index number corresponding to the standard sequence as emaxAnd the corresponding minimum sign index number is recorded as eminE (seq) is the corresponding sign index number in the sign sequence seq of the health management user, and sign () is a sign function; defining the coefficients a + b + c to be 1 and b to be 0.8; when the number n of sign indexes in the sign sequence seq of the health management user is less than 5
When n is greater than 5
After all the sign indexes in the sign sequence seq of the health management user are corrected, the corrected sign sequence seq of the health management user is obtained, and the corrected sign sequence seq of the health management user is used as a new standard sequence.
A 5G and blockchain based big health AI prevention management system, comprising:
the wearable detection device is used for dynamically detecting physical sign indexes of the health management user and keeping synchronous signal communication with the signal conversion module in the form of electronic signals through a 5G network;
the signal conversion module is used for reading the electronic signal transmitted by the wearable detection device, generating a sign sequence of the health management user and sending the sign sequence to the intelligent processing center;
the intelligent processing center is connected to the medical block chain through a 5G network and used for reading a standard sequence corresponding to a health management user in the medical block according to the sign sequence of the health management user sent by the signal conversion module, comparing and calculating the standard sequence with the sign sequence of the health management user generated by the signal conversion module, judging whether the sign indexes of the health management user are normal or not, and feeding back the abnormal sign indexes to the wearable detection device when the judgment result is abnormal to remind the health management user; when the judgment result is normal, taking the sign sequence of the health management user as a new standard sequence, and updating the standard sequence corresponding to the health management user in the medical block; the intelligent processing center further comprises a first storage unit and a second storage unit, the first storage unit is used for storing the rated connection amount and the geographic position of the conversion module, and the second storage unit is used for storing the distance between the wearable detection device and the signal conversion module.
The physical signs can be heart rate, glucose level, body temperature, sleep time, calories, blood pressure or sweat.
Claims (2)
1. A big health AI prevention management method based on 5G and a block chain is characterized by comprising the following steps:
the wearable detection device dynamically detects physical sign indexes of a health management user and keeps synchronous signal communication with the signal conversion module in the form of electronic signals through a 5G network;
the signal conversion module reads the electronic signal transmitted by the wearable detection device, generates a physical sign sequence of the health management user and sends the physical sign sequence to the intelligent processing center;
the intelligent processing center is connected to the medical treatment block chain through a 5G network, and reads a standard sequence corresponding to the health management user in the medical treatment block according to the physical sign sequence of the health management user sent by the signal conversion module;
the intelligent processing center compares and calculates the standard sequence with the physical sign sequence of the health management user generated by the signal conversion module, judges whether the physical sign indexes of the health management user are normal or not, and judges that the result is abnormal when the difference value of the same physical sign indexes of the two sequences is larger than a critical value set by a system;
if the judgment result is abnormal, the intelligent processing center feeds back the abnormal physical sign index to the wearable detection device to remind the health management user; if the judgment result is normal, correcting the sign sequence of the health management user to be used as a new standard sequence, and updating the standard sequence corresponding to the health management user in the medical block;
when wearable detection device keeps exchanging with the synchronizing signal between the signal conversion module, intelligent processing center warns signal conversion module connection's the quantity of wearable detection device around, and concrete step is:
step 1, uploading the rated connection quantity of the signal conversion module to a first storage unit, and sending the geographic position of the signal conversion module and the geographic positions of all wearable detection devices to the first storage unit;
step 2, the intelligent processing center calls the geographic positions of all the wearable detection devices and the geographic position of the signal conversion module in the first storage unit, calculates the distance between each wearable detection device and the signal conversion module, and sends the calculation result to the second storage unit;
step 3, the intelligent processing center processes the stored information once at intervals, and the number of the wearable detection devices, the distance between which and the signal conversion module is smaller than a preset value, is used as the number of the peripheral wearable detection devices connected with the current signal conversion module;
step 4, comparing the number of the peripheral wearable detection devices connected with the current signal conversion module with the rated connection quantity of the signal conversion module, if the number of the peripheral wearable detection devices connected with the current signal conversion module exceeds the rated connection quantity of the signal conversion module, generating an overload alarm signal, and storing the real-time connection quantity, the timestamp and the alarm signal of the signal conversion module to a medical block chain together;
the correcting the sign sequence of the health management user to be used as a new standard sequence specifically comprises:
each sign sequence contains at most 10 individual sign indexes, a standard sequence and a historical sequence corresponding to a health management user in a medical block are read from a block chain according to the sign sequence seq of the health management user, each sign index contained in the sign sequence seq of the health management user is corrected, and a corrected sign index M (seq):
recording the sequence saved by the health management user history in the block chain and the maximum sign index number corresponding to the standard sequence as emaxAnd the corresponding minimum sign index number is recorded as eminE (seq) is the corresponding sign index number in the sign sequence seq of the health management user, and sign () is a sign function; defining the coefficients a + b + c to be 1 and b to be 0.8; when the number n of sign indexes in the sign sequence seq of the health management user is less than 5
When n is greater thanAt 5 th hour
After all the sign indexes in the sign sequence seq of the health management user are corrected, the corrected sign sequence seq of the health management user is obtained, and the corrected sign sequence seq of the health management user is used as a new standard sequence;
the physical sign index is heart rate, glucose level, body temperature, sleep time, calories, blood pressure or sweat.
2. A system for 5G and blockchain-based big health AI preventive management method according to claim 1, comprising:
the wearable detection device is used for dynamically detecting physical sign indexes of the health management user and keeping synchronous signal communication with the signal conversion module in the form of electronic signals through a 5G network;
the signal conversion module is used for reading the electronic signal transmitted by the wearable detection device, generating a sign sequence of the health management user and sending the sign sequence to the intelligent processing center;
the intelligent processing center is connected to the medical block chain through a 5G network and used for reading a standard sequence corresponding to a health management user in the medical block according to the sign sequence of the health management user sent by the signal conversion module, comparing and calculating the standard sequence with the sign sequence of the health management user generated by the signal conversion module, judging whether the sign indexes of the health management user are normal or not, and feeding back the abnormal sign indexes to the wearable detection device when the judgment result is abnormal to remind the health management user; when the judgment result is normal, taking the sign sequence of the health management user as a new standard sequence, and updating the standard sequence corresponding to the health management user in the medical block;
when wearable detection device keeps exchanging with the synchronizing signal between the signal conversion module, intelligent processing center warns signal conversion module connection's the quantity of wearable detection device around, and concrete step is:
step 1, uploading the rated connection quantity of the signal conversion module to a first storage unit, and sending the geographic position of the signal conversion module and the geographic positions of all wearable detection devices to the first storage unit;
step 2, the intelligent processing center calls the geographic positions of all the wearable detection devices and the geographic position of the signal conversion module in the first storage unit, calculates the distance between each wearable detection device and the signal conversion module, and sends the calculation result to the second storage unit;
step 3, the intelligent processing center processes the stored information once at intervals, and the number of the wearable detection devices, the distance between which and the signal conversion module is smaller than a preset value, is used as the number of the peripheral wearable detection devices connected with the current signal conversion module;
step 4, comparing the number of the peripheral wearable detection devices connected with the current signal conversion module with the rated connection quantity of the signal conversion module, if the number of the peripheral wearable detection devices connected with the current signal conversion module exceeds the rated connection quantity of the signal conversion module, generating an overload alarm signal, and storing the real-time connection quantity, the timestamp and the alarm signal of the signal conversion module to a medical block chain together;
the correcting the sign sequence of the health management user to be used as a new standard sequence specifically comprises:
each sign sequence contains at most 10 individual sign indexes, a standard sequence and a historical sequence corresponding to a health management user in a medical block are read from a block chain according to the sign sequence seq of the health management user, each sign index contained in the sign sequence seq of the health management user is corrected, and a corrected sign index M (seq):
the sequence saved by the health management user history in the block chain and the corresponding maximum sequence in the standard sequenceThe sign index number of (a) is recorded as emaxAnd the corresponding minimum sign index number is recorded as eminE (seq) is the corresponding sign index number in the sign sequence seq of the health management user, and sign () is a sign function; defining the coefficients a + b + c to be 1 and b to be 0.8; when the number n of sign indexes in the sign sequence seq of the health management user is less than 5
When n is greater than 5
After all the sign indexes in the sign sequence seq of the health management user are corrected, the corrected sign sequence seq of the health management user is obtained, and the corrected sign sequence seq of the health management user is used as a new standard sequence;
the intelligent processing center further comprises a first storage unit and a second storage unit, the first storage unit is used for storing the rated connection amount and the geographic position of the conversion module, and the second storage unit is used for storing the distance between the wearable detection device and the signal conversion module.
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