Medical health intelligent monitoring system

Abstract

The invention relates to a medical health intelligent monitoring system. The system comprises an area analysis mechanism, an injury condition detection mechanism, a target remodeling mechanism, a quantity acquisition device and a content transmission device. The system can provide key information for health monitoring.

Description

Technical Field

[0001] The present invention relates to the field of medical health, and more specifically, to a medical health intelligent monitoring system. Background Art

[0002] Medical health refers to a broad field involving medicine and health management, aiming to maintain and promote people's physical and mental health. It mainly covers medical diagnosis, treatment, preventive health care, rehabilitation care and health management.

[0003] 1. Medical diagnosis and treatment The core of healthcare is medical diagnosis and treatment. This includes the prevention, identification, assessment, treatment and rehabilitation of diseases. Medical institutions, doctors and medical professionals use various medical knowledge and technologies to diagnose patients and determine treatment plans to restore or maintain the health of patients.

[0004] 2. Preventive health care In addition to treating existing diseases, healthcare also emphasizes preventive care. Prevention is the key to avoiding the occurrence of diseases. Through health education, vaccination, regular physical examinations and screening, diseases can be effectively prevented from occurring, or detected early, thereby improving treatment outcomes and patient survival rates.

[0005] 3. Rehabilitation Nursing Rehabilitation care is an integral part of healthcare. For patients who have already been ill and are in the recovery stage, rehabilitation care provides them with the necessary physical and mental support to help them return to their best condition as soon as possible. This includes wound care, physical therapy, occupational rehabilitation, and psychological rehabilitation.

[0006] 4. Health Management Health management is an increasingly important aspect of healthcare. It involves health promotion and risk control for individuals or groups. Through health assessment, health consultation, lifestyle adjustment and other means, health management aims to help people maintain their health and reduce the risk of disease.

[0007] In general, healthcare is a comprehensive field that covers all aspects of medicine and aims to maintain people's physical and mental health and improve their quality of life. With the continuous advancement of medical technology and the development of society, the field of healthcare is also constantly innovating and developing to provide people with more comprehensive and high-quality medical services. Summary of the invention

[0008] In order to solve the above problems in the prior art, the present invention provides a medical health intelligent monitoring system, which intelligently analyzes the predicted value of the number of mosquito bitten people corresponding to the set area that night based on the regional distribution area of ​​the set area, the total number of residents in the set area, the type codes corresponding to a fixed number of multiple main mosquito types appearing in the set area, and the number of people bitten by mosquitoes in the set area in previous nights before that night by adopting a BP neural network model with a targeted structural design, thereby completing the effective prediction of the number of people bitten by mosquitoes in different areas in the future, and providing key information for determining whether the subsequent regional insect control plan should be implemented and the intensity of its implementation.

[0009] The present invention needs to have at least the following important invention points: Invention point 1: A regional analysis mechanism is introduced to obtain type codes corresponding to a fixed number of multiple main mosquito types appearing in a set area, wherein the value of the fixed number is monotonically positively correlated with the regional distribution area of ​​the set area, wherein the numbers corresponding to the various mosquito types appearing in the set area are sorted from large to small, and the multiple mosquito types corresponding to the multiple serial numbers with the smallest values ​​of the fixed number are taken as the multiple main mosquito types; Invention point 2: The BP neural network after each learning is output as a BP neural network model, in which each learning is performed on the BP neural network to obtain the BP neural network after each learning, and the number of learning times of the BP neural network is monotonically positively correlated with the total number of residents in a set area, so as to customize BP neural network models with different structures for different areas; Invention point three: The regional distribution area of ​​the set area, the total number of residents in the set area, the type codes corresponding to the fixed number of multiple main mosquito types appearing in the set area, and the number of people bitten by mosquitoes in the set area in previous nights before that night are input into the BP neural network model to execute the BP neural network model, and obtain the predicted value of the number of people bitten by mosquitoes in the set area that night output by the BP neural network model, thereby completing the effective prediction of the number of people bitten by mosquitoes in different areas in the future, and providing key information for determining whether the subsequent regional pest control plan should be implemented and the intensity of its implementation.

[0010] According to the present invention, a medical health intelligence monitoring system is provided, the system comprising: A regional analysis mechanism, used to obtain type codes corresponding to a fixed number of multiple main mosquito types appearing in a set area, wherein the value of the fixed number is monotonically positively correlated with the regional distribution area of ​​the set area; The injury detection mechanism is used to obtain the number of mosquito bites in the set area corresponding to each previous night before the night, and the number of mosquito bites in each previous night before the night is proportional to the total number of residents in the set area; A target reshaping mechanism, used for outputting the BP neural network after each learning as a BP neural network model, in which each learning is performed on the BP neural network to obtain the BP neural network after each learning; a quantity acquisition device, connected to the regional analysis mechanism, the injury detection mechanism and the target reshaping mechanism, respectively, for inputting the regional distribution area of ​​the set area, the total number of residents in the set area, the type codes corresponding to the fixed number of main mosquito types appearing in the set area, and the number of people bitten by mosquitoes corresponding to each previous night in the set area into the BP neural network model, so as to execute the BP neural network model and obtain the predicted value of the number of people bitten by mosquitoes corresponding to the set area on that night output by the BP neural network model; A content transmission device, connected to the quantity acquisition device, is used to provide the received predicted value of the number of mosquito bites in the set area that night to a remote medical health monitoring server through a wireless transmission channel; The regional analysis mechanism is used to obtain the type codes corresponding to the fixed number of main mosquito types appearing in the set area, wherein the value of the fixed number is monotonically positively correlated with the regional distribution area of ​​the set area, including: sorting the numbers corresponding to the various mosquito types appearing in the set area from large to small, and taking the multiple mosquito types corresponding to the multiple serial numbers with the smallest fixed number as the multiple main mosquito types; Among them, the regional analysis mechanism is used to obtain the type codes corresponding to the fixed number of multiple main mosquito types appearing in the set area, and the value of the fixed number is monotonically positively correlated with the regional distribution area of ​​the set area, which also includes: using a numerical mapping formula to express the numerical mapping relationship of the monotonically positive correlation between the value of the fixed number and the regional distribution area of ​​the set area.

[0011] The medical health intelligent monitoring system of the present invention has low operating temperature and is easy to operate. Since the BP neural network model with targeted structural design can be used to intelligently analyze the predicted value of the number of mosquito bites in the set area that night, the effective prediction of the number of mosquito bites in different areas in the future can be completed, providing key information for determining whether the subsequent regional pest control plan is implemented and the intensity of implementation. BRIEF DESCRIPTION OF THE DRAWINGS

[0012] Those skilled in the art may better understand the numerous advantages of the present invention by referring to the accompanying drawings, in which:

[0013] Figure 1 It is a structural diagram of a medical health intelligence monitoring system according to the primary embodiment of the present invention.

[0014] Figure 2 It is a structural diagram of a medical health intelligence monitoring system according to a secondary embodiment of the present invention.

[0015] Figure 3 2 is a schematic diagram of the structure of a medical health intelligence monitoring system according to another embodiment of the present invention. DETAILED DESCRIPTION

[0016] In the existing technology, it is necessary to design targeted medical and health treatment plans to meet the needs of medical and health, so as to improve the speed and effectiveness of medical and health treatment. For example, it is expected to conduct an intelligent assessment of the number of people bitten by mosquitoes in a set area in the future, so as to give a treatment plan in advance based on the intelligent assessment results and allocate a corresponding amount of medical and health resources. Obviously, the existing technology lacks a corresponding refined solution mechanism.

[0017] The present invention will be described in detail below.

[0018] Figure 1 1 is a schematic diagram of the structure of a medical health intelligence monitoring system according to the primary embodiment of the present invention, the system comprising: A regional analysis mechanism, used to obtain type codes corresponding to a fixed number of multiple main mosquito types appearing in a set area, wherein the value of the fixed number is monotonically positively correlated with the regional distribution area of ​​the set area; For example, the regional analysis mechanism is used to obtain the type codes corresponding to a fixed number of multiple main mosquito types appearing in a set area, wherein the value of the fixed number is monotonically positively correlated with the regional distribution area of ​​the set area, including: the larger the regional distribution area of ​​the set area, the larger the corresponding value of the fixed number; The injury detection mechanism is used to obtain the number of mosquito bites in the set area corresponding to each previous night before the night, and the number of mosquito bites in each previous night before the night is proportional to the total number of residents in the set area; A target reshaping mechanism, used for outputting the BP neural network after each learning as a BP neural network model, in which each learning is performed on the BP neural network to obtain the BP neural network after each learning; a quantity acquisition device, connected to the regional analysis mechanism, the injury detection mechanism and the target reshaping mechanism, respectively, for inputting the regional distribution area of ​​the set area, the total number of residents in the set area, the type codes corresponding to the fixed number of main mosquito types appearing in the set area, and the number of people bitten by mosquitoes corresponding to each previous night in the set area into the BP neural network model, so as to execute the BP neural network model and obtain the predicted value of the number of people bitten by mosquitoes corresponding to the set area on that night output by the BP neural network model; A content transmission device, connected to the quantity acquisition device, is used to provide the received predicted value of the number of mosquito bites in the set area that night to a remote medical health monitoring server through a wireless transmission channel; The regional analysis mechanism is used to obtain the type codes corresponding to the fixed number of main mosquito types appearing in the set area, wherein the value of the fixed number is monotonically positively correlated with the regional distribution area of ​​the set area, including: sorting the numbers corresponding to the various mosquito types appearing in the set area from large to small, and taking the multiple mosquito types corresponding to the multiple serial numbers with the smallest fixed number as the multiple main mosquito types; The regional analysis mechanism is used to obtain the type codes corresponding to the fixed number of main mosquito types appearing in the set area, and the value of the fixed number is monotonically positively correlated with the regional distribution area of ​​the set area, and further includes: using a numerical mapping formula to represent the numerical mapping relationship of the monotonically positive correlation between the value of the fixed number and the regional distribution area of ​​the set area; The target reshaping mechanism is used to output the BP neural network after each learning as a BP neural network model, in which the BP neural network is subjected to each learning to obtain the BP neural network after each learning, including: the number of learning times of the BP neural network is monotonically positively correlated with the total number of residents in the set area; Among them, the content transmission device is connected to the quantity acquisition device, and is used to provide the received predicted value of the number of people bitten by mosquitoes in the set area that night to a remote medical health monitoring server through a wireless transmission channel, including: the medical health monitoring server is a blockchain server, a cloud computing server or a big data server.

[0019] Figure 2 It is a structural diagram of a medical health intelligence monitoring system according to a secondary embodiment of the present invention.

[0020] and Figure 1 different, Figure 2 The medical health intelligence monitoring system in the system can also include the following components: A tension measuring mechanism, comprising a plurality of tension measuring units, for respectively measuring current surface tension values ​​of the quantity acquisition device, the area analysis mechanism, the injury detection mechanism and the target remodeling mechanism; Wherein, the tension measuring mechanism comprises a plurality of tension measuring units for respectively measuring the current surface tension values ​​of the quantity acquisition device, the area analysis mechanism, the injury detection mechanism and the target remodeling mechanism, including: the plurality of tension measuring units respectively used for the quantity acquisition device, the area analysis mechanism, the injury detection mechanism and the target remodeling mechanism are a plurality of contact tension sensors; Wherein, the tension measuring mechanism comprises a plurality of tension measuring units for respectively measuring the current surface tension values ​​of the quantity acquisition device, the area analysis mechanism, the injury detection mechanism and the target remodeling mechanism, and further comprises: the internal structures of a plurality of contact tension sensors respectively used for the quantity acquisition device, the area analysis mechanism, the injury detection mechanism and the target remodeling mechanism are the same; The tension measuring mechanism includes a plurality of tension measuring units for respectively measuring the current surface tension values ​​of the quantity acquisition device, the area analysis mechanism, the injury detection mechanism and the target remodeling mechanism, and further includes: a plurality of contact tension sensors respectively used for the quantity acquisition device, the area analysis mechanism, the injury detection mechanism and the target remodeling mechanism have the same tension measurement upper limit threshold and tension measurement lower limit threshold; Among them, the tension measuring mechanism includes multiple tension measuring units, which are used to respectively measure the current surface tension values ​​of the quantity acquisition device, the regional analysis mechanism, the injury detection mechanism and the target remodeling mechanism. It also includes: multiple contact tension sensors respectively used for the quantity acquisition device, the regional analysis mechanism, the injury detection mechanism and the target remodeling mechanism occupy equal surface areas of the quantity acquisition device, the regional analysis mechanism, the injury detection mechanism and the target remodeling mechanism.

[0021] Figure 3 2 is a schematic diagram of the structure of a medical health intelligence monitoring system according to another embodiment of the present invention.

[0022] and Figure 1 different, Figure 3 The medical health intelligence monitoring system in the system can also include the following components: an acoustic alarm device, connected to a plurality of contact tension sensors respectively used by the quantity acquisition device, the area analysis mechanism, the injury detection mechanism and the target remodeling mechanism, for performing corresponding tension alarm actions based on tension measurement results of the plurality of contact tension sensors respectively used by the quantity acquisition device, the area analysis mechanism, the injury detection mechanism and the target remodeling mechanism; Wherein, the acoustic alarm device is respectively connected to a plurality of contact tension sensors respectively used by the quantity acquisition device, the area analysis mechanism, the injury detection mechanism and the target remodeling mechanism, and is used to perform corresponding tension alarm actions based on the tension measurement results of the plurality of contact tension sensors respectively used by the quantity acquisition device, the area analysis mechanism, the injury detection mechanism and the target remodeling mechanism, including: the acoustic alarm device includes an acoustic acquisition component and a microcontroller; And wherein, the acoustic alarm device is respectively connected to multiple contact tension sensors respectively used for the quantity acquisition device, the area analysis mechanism, the injury detection mechanism and the target reshaping mechanism, and is used to perform corresponding tension alarm actions based on the tension measurement results of the multiple contact tension sensors respectively used for the quantity acquisition device, the area analysis mechanism, the injury detection mechanism and the target reshaping mechanism, and also includes: the acoustic acquisition component plays a voice alarm file corresponding to the surface tension exceeding the limit to perform the tension alarm action.

[0023] In addition, in the medical health intelligent monitoring system, a numerical mapping formula is used to express the numerical mapping relationship in which the fixed number of values ​​is monotonically positively correlated with the regional distribution area of ​​the set area, including: in the numerical mapping formula, the regional distribution area of ​​the set area is the input parameter of the numerical mapping formula, and the fixed number of values ​​corresponding to the regional distribution area of ​​the set area is the output parameter of the numerical mapping formula.

[0024] While the invention has been particularly shown and described with reference to exemplary embodiments thereof, it will be understood by those skilled in the art that various changes in form and details may be made therein without departing from the spirit and scope of the invention as defined in the following claims.

Claims

1. A medical health intelligence monitoring system, characterized in that: The system comprises: A regional analysis mechanism, used to obtain type codes corresponding to a fixed number of multiple main mosquito types appearing in a set area, wherein the value of the fixed number is monotonically positively correlated with the regional distribution area of ​​the set area; The injury detection mechanism is used to obtain the number of mosquito bites in the set area corresponding to each previous night before the night, and the number of mosquito bites in each previous night before the night is proportional to the total number of residents in the set area; A target reshaping mechanism, used for outputting the BP neural network after each learning as a BP neural network model, in which each learning is performed on the BP neural network to obtain the BP neural network after each learning; a quantity acquisition device, connected to the regional analysis mechanism, the injury detection mechanism and the target reshaping mechanism, respectively, for inputting the regional distribution area of ​​the set area, the total number of residents in the set area, the type codes corresponding to the fixed number of main mosquito types appearing in the set area, and the number of people bitten by mosquitoes corresponding to each previous night in the set area into the BP neural network model, so as to execute the BP neural network model and obtain the predicted value of the number of people bitten by mosquitoes corresponding to the set area on that night output by the BP neural network model; A content transmission device, connected to the quantity acquisition device, is used to provide the received predicted value of the number of mosquito bites in the set area that night to a remote medical health monitoring server through a wireless transmission channel; The regional analysis mechanism is used to obtain the type codes corresponding to the fixed number of main mosquito types appearing in the set area, wherein the value of the fixed number is monotonically positively correlated with the regional distribution area of ​​the set area, including: sorting the numbers corresponding to the various mosquito types appearing in the set area from large to small, and taking the multiple mosquito types corresponding to the multiple serial numbers with the smallest fixed number as the multiple main mosquito types; Among them, the regional analysis mechanism is used to obtain the type codes corresponding to the fixed number of multiple main mosquito types appearing in the set area, and the value of the fixed number is monotonically positively correlated with the regional distribution area of ​​the set area, which also includes: using a numerical mapping formula to express the numerical mapping relationship of the monotonically positive correlation between the value of the fixed number and the regional distribution area of ​​the set area.

2. The medical health intelligence monitoring system according to claim 1, characterized in that: The target reshaping mechanism is used to output the BP neural network after each learning as a BP neural network model, in which the BP neural network is subjected to each learning to obtain the BP neural network after each learning, including: the number of learning times of the BP neural network is monotonically positively correlated with the total number of residents in the set area; Among them, the content transmission device is connected to the quantity acquisition device, and is used to provide the received predicted value of the number of people bitten by mosquitoes in the set area that night to a remote medical health monitoring server through a wireless transmission channel, including: the medical health monitoring server is a blockchain server, a cloud computing server or a big data server.

3. The medical health intelligence monitoring system according to claim 2, characterized in that: The system further comprises: A tension measuring mechanism, comprising a plurality of tension measuring units, for respectively measuring current surface tension values ​​of the quantity acquisition device, the area analysis mechanism, the injury detection mechanism and the target remodeling mechanism; Among them, the tension measuring mechanism includes multiple tension measuring units, which are used to respectively measure the current surface tension values ​​of the quantity acquisition device, the area analysis mechanism, the injury detection mechanism and the target reshaping mechanism, including: the multiple tension measuring units respectively used for the quantity acquisition device, the area analysis mechanism, the injury detection mechanism and the target reshaping mechanism are multiple contact tension sensors.

4. The medical health intelligence monitoring system as claimed in claim 3, characterized in that: The tension measuring mechanism includes a plurality of tension measuring units for respectively measuring the current surface tension values ​​of the quantity acquisition device, the area analysis mechanism, the injury detection mechanism and the target reshaping mechanism. The tension measuring mechanism also includes: the internal structures of the plurality of contact tension sensors respectively used for the quantity acquisition device, the area analysis mechanism, the injury detection mechanism and the target reshaping mechanism are the same.

5. The medical health intelligence monitoring system as claimed in claim 3, characterized in that: The tension measuring mechanism includes a plurality of tension measuring units for respectively measuring the current surface tension values ​​of the quantity acquisition device, the area analysis mechanism, the injury detection mechanism and the target remodeling mechanism, and further includes: a plurality of contact tension sensors respectively used for the quantity acquisition device, the area analysis mechanism, the injury detection mechanism and the target remodeling mechanism have the same tension measurement upper limit threshold and tension measurement lower limit threshold.

6. The medical health intelligence monitoring system according to claim 5, characterized in that: The tension measuring mechanism includes a plurality of tension measuring units for respectively measuring the current surface tension values ​​of the quantity acquisition device, the area analysis mechanism, the injury detection mechanism and the target remodeling mechanism. The tension measuring mechanism also includes: a plurality of contact tension sensors respectively used for the quantity acquisition device, the area analysis mechanism, the injury detection mechanism and the target remodeling mechanism occupy equal surface areas of the quantity acquisition device, the area analysis mechanism, the injury detection mechanism and the target remodeling mechanism.

7. The medical health intelligence monitoring system according to claim 3, characterized in that: The system further comprises: The acoustic alarm device is respectively connected to multiple contact tension sensors respectively used for the quantity acquisition device, the area analysis mechanism, the injury detection mechanism and the target reshaping mechanism, and is used to perform corresponding tension alarm actions based on the tension measurement results of the multiple contact tension sensors respectively used for the quantity acquisition device, the area analysis mechanism, the injury detection mechanism and the target reshaping mechanism.

8. The medical health intelligence monitoring system according to claim 7, characterized in that: The acoustic alarm device is respectively connected to a plurality of contact tension sensors respectively used for the quantity acquisition device, the area analysis mechanism, the injury detection mechanism and the target reshaping mechanism, and is used to perform corresponding tension alarm actions based on the tension measurement results of the plurality of contact tension sensors respectively used for the quantity acquisition device, the area analysis mechanism, the injury detection mechanism and the target reshaping mechanism, including: the acoustic alarm device includes an acoustic acquisition component and a microcontroller.

9. The medical health intelligence monitoring system according to claim 8, characterized in that: The acoustic alarm device is respectively connected to multiple contact tension sensors respectively used by the quantity acquisition device, the area analysis mechanism, the injury detection mechanism and the target reshaping mechanism, and is used to perform corresponding tension alarm actions based on the tension measurement results of the multiple contact tension sensors respectively used by the quantity acquisition device, the area analysis mechanism, the injury detection mechanism and the target reshaping mechanism. It also includes: the acoustic acquisition component plays a voice alarm file corresponding to the surface tension exceeding the limit to perform the tension alarm action.

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