CN107863158A - A kind of medical treatment ＆ health based on Internet of Things shows loving care for system - Google Patents
A kind of medical treatment ＆ health based on Internet of Things shows loving care for system Download PDFInfo
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- CN107863158A CN107863158A CN201711079713.1A CN201711079713A CN107863158A CN 107863158 A CN107863158 A CN 107863158A CN 201711079713 A CN201711079713 A CN 201711079713A CN 107863158 A CN107863158 A CN 107863158A
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Abstract
The invention provides a kind of medical treatment ＆ health based on Internet of Things to show loving care for system, including medical monitoring wireless sensor network, gateway device and terminal device, medical monitoring wireless sensor network is used to gather human pathology's information data, and by human pathology's information data transmission to gateway device, gateway device is passed to human pathology's information data on terminal device by infrastructure network by realizing the seamless switching of radio sensing network and Ethernet, WLAN and global mobile communication network.The present invention realizes medical monitoring using medical monitoring wireless sensor network technology, and is alarmed in human pathology's information data exception, is easy to related personnel to carry out remote monitoring.The present invention can break away from the constraint of wireline equipment, can be easily using the pathological information of related terminal device monitoring patient within hospital or wireless network coverage.
Description
Technical Field
The invention relates to the technical field of medical treatment, in particular to a medical health care system based on the Internet of things.
Background
The internet of things is also called as a sensor network, and a computer network technology represented by the internet is a great achievement of computer science in the twentieth century, brings profound changes to our lives, however, at present, the network function is more powerful, the network world is more abundant, and is virtual at last, and is still separated from the real world in which we live, in the network world, the real world is difficult to perceive, many things are still impossible, and a new network technology is called in the era.
The wireless sensing network is a new network technology which is generated under the background, and is formed by sensor nodes with sensing, processing and wireless communication capabilities in a self-organizing mode, can extend people to a wider interaction space, obtains dynamic state information around the people, and realizes more accurate and deep cognition and control on the peripheral world, so that the wireless sensing network has wide application prospects in the fields of military affairs, environment, health, families, transportation, manufacturing industry, commerce, facility management, transportation, safety, space exploration, disaster rescue and the like, and has revolutionary influence on the development and the revolution of the life and working modes, industries of people.
The medical monitoring system in the related art has relatively simple functions, cannot really realize real-time mobile application, is limited by regions to a greater or lesser extent, and the intelligence degree and the openness of the system are also to be improved.
Disclosure of Invention
In order to solve the problems, the invention provides a medical health care system based on the Internet of things.
The purpose of the invention is realized by collecting the following technical scheme:
the utility model provides a medical health care system based on thing networking, including medical monitoring wireless sensor network, gateway equipment and terminal equipment, medical monitoring wireless sensor network is used for gathering human pathology information data to transmit human pathology information data to gateway equipment, and gateway equipment passes through the seamless switching that realizes wireless sensor network and ethernet, wireless LAN and global mobile communication network, transmits human pathology information data to terminal equipment through infrastructure network.
Preferably, the terminal device includes a communication module, an information data storage module, and an information data management module, which are in communication connection in sequence.
Preferably, the medical monitoring wireless sensor network comprises a base station node set outside the medical monitoring area and a plurality of sensor nodes deployed in the set medical monitoring area, and the base station node is in communication with the gateway device.
Preferably, the sensor node acquires human body pathological information data including blood oxygen, pulse and body temperature through a blood oxygen probe, a pulse probe and a body temperature probe.
The invention has the beneficial effects that: the restriction of wired equipment can be released, and the pathological information of the patient can be conveniently monitored by using related terminal equipment within the coverage range of a hospital or a wireless network. The system can be practically applied to daily life and work of people, so that medical care personnel and patient family members can conveniently and remotely monitor pathological information of patients in a wireless way.
Drawings
The invention is further illustrated by means of the attached drawings, but the embodiments in the drawings do not constitute any limitation to the invention, and for a person skilled in the art, without inventive effort, further drawings may be derived from the following figures.
FIG. 1 is a block diagram of the architecture of one embodiment of the present invention;
fig. 2 is a connection block diagram of a terminal device according to an embodiment of the present invention.
Reference numerals:
the medical monitoring system comprises a medical monitoring wireless sensor network 1, a gateway device 2, a terminal device 3, a communication module 10, an information data storage module 20 and an information data management module 30.
Detailed Description
The invention is further described with reference to the following examples.
Referring to fig. 1, the medical health care system based on the internet of things provided by this embodiment includes a medical monitoring wireless sensor network 1, a gateway device 2 and a terminal device 3, the medical monitoring wireless sensor network 1 is used for collecting human body pathological information data and transmitting the human body pathological information data to the gateway device 2, and the gateway device 2 transmits the human body pathological information data to the terminal device 3 through an infrastructure network by realizing seamless switching between the wireless sensor network and an ethernet, a wireless local area network and a global mobile communication network.
In one embodiment, as shown in fig. 2, the terminal device 3 includes a communication module 10, an information data storage module 20, and an information data management module 30, which are sequentially connected in communication.
In one embodiment, the medical monitoring wireless sensor network 1 includes a base station node set outside the medical monitoring area and a plurality of sensor nodes deployed in the set medical monitoring area, and the base station node is in communication with the gateway device 2.
In one embodiment, the sensor node acquires human pathological information data including blood oxygen, pulse and body temperature through a blood oxygen probe, a pulse probe and a body temperature probe.
The embodiment of the invention can be free from the constraint of wired equipment, and can conveniently monitor the pathological information of the patient by using related terminal equipment within the coverage range of a hospital or a wireless network. The system can be practically applied to daily life and work of people, so that medical care personnel and patient family members can conveniently and remotely monitor pathological information of patients in a wireless way.
In one embodiment, when network topology construction is carried out, a plurality of backbone nodes are selected by a sensor node through election, and a base station node establishes a routing path from each backbone node to the base station node, so that a backbone network is formed; the remaining sensor nodes send the collected human body pathological information data to the nearest backbone node, the backbone nodes are used for collecting the human body pathological information data sent by the sensor nodes, fusing the collected human body pathological information data with the human body pathological information data collected by the backbone nodes, and sending the fused human body pathological information data to the base station node according to the established routing path.
In one embodiment, when a sensor node elects a backbone node, the method specifically includes:
(1) Initially, each sensor node acquires information of other sensor nodes in a communication range of the sensor node through information interaction, a neighbor node list is created and updated, a base station node is set as a sink, and each sensor node calculates a random threshold according to the following formula:
in the formula of U i Representing a random threshold, P, calculated by the sensor node i i For the current residual energy of the sensor node i, mu is the energy cost of sending a human body pathological information data packet for the set sensor node, v is the energy cost of receiving a human body pathological information data packet for the set sensor node, z i Representing the number of neighbor nodes of a sensor node i, wherein the neighbor nodes are other sensor nodes positioned in the communication range of the sensor node, E (i, j) is the distance between the sensor node i and the jth neighbor node thereof, E (i, sink) is the distance between the sensor node i and a base station node, and w 1 、w 2 Is a set weight factor and satisfies 0.8>w 1 ,w 2 >0；
(2) Each sensor node generates a random number between 0 and 1 by using a secure encrypted random number generator, and judges whether the random number is smaller than a calculated random threshold value, if so, the sensor node is selected as an alternative backbone node;
(3) And each alternative backbone node confirms whether other alternative backbone nodes exist in the communication range of the alternative backbone node through information interaction, if so, the current residual energy and the number of neighbor nodes are compared, if the current residual energy and the number of neighbor nodes are smaller than that of other alternative backbone nodes in the communication range, the backbone node election is abandoned, and finally, the alternative backbone nodes which are not abandoned and are elected by the backbone node election are successfully selected as the backbone nodes.
In the embodiment, the alternative backbone nodes are randomly elected in a random threshold manner, so that each sensor node in a good state has an opportunity to become a backbone node, which is beneficial to establishing a wider and wide-range backbone network, improves the uniformity of the backbone nodes in the deployment area of the medical monitoring wireless sensor network 1, and reduces the network loss caused by the aggregation of the backbone nodes; after the alternative backbone nodes are elected, the alternative backbone nodes with current residual energy and small node density are further screened out from the alternative backbone nodes with short distance, so that the scale of the backbone network is reduced, and the communication cost for collecting human body pathological information data is further saved.
In one embodiment, the base station node establishes a routing path from each backbone node to the base station node, and specifically includes:
(1) Setting a backbone node as phi, acquiring all routing paths from the backbone node to a base station node, wherein each routing path is formed by connecting a plurality of backbone nodes, defining the rest of the backbone nodes except the phi as relay forwarding nodes of the phi, taking a sensor node for transmitting human body pathological information data to the backbone nodes as a child node of the backbone nodes, and calculating the selection probability of each routing path according to the following formula:
in the formula (I), the compound is shown in the specification,represents the rho-th routing path from the backbone node phi to the base station node sink,is composed ofToThe current residual energy of each relay forwarding node is mu energy cost for sending a human body pathological information data packet for a set sensor node, v energy cost for receiving a human body pathological information data packet for a set sensor node,is composed ofToNumber of child nodes of relay forwarding node, M ρ Is composed ofThe number of the relay forwarding nodes on the network,is composed ofToThe maximum communication radius of each relay forwarding node,is composed ofTotal length of path of (f) 1 、f 2 Is a set weight coefficient and satisfies 0<f 2 <f 1 <1；
(2) And selecting the routing path with the maximum probability as the final routing path from the backbone node to the base station node.
In the embodiment, three factors of energy consumption, communication radius and length of the routing path of the relay forwarding node are comprehensively considered, so that a calculation formula of the selection probability of the routing path is designed, the routing path from the backbone node to the base station node is selected according to the selection probability, a better routing path with a longer life cycle can be established, the energy of each backbone node is balanced and the load of the relay forwarding node is borne on the premise of ensuring a shorter routing distance, the life cycle of the medical monitoring wireless sensor network 1 is prolonged, and the long-term stable operation of the medical health care system is ensured.
In one embodiment, if no backbone node is located in the communication range of the sensor node, the sensor node transmits the collected human body pathological information data to a neighbor node with the largest state value, and the neighbor node forwards the human body pathological information data to the backbone node closest to the sensor node;
when the sensor node acquires the state values of the neighbor nodes, the sensor node broadcasts messages to the neighbor nodes, and the neighbor nodes calculate the state values of the neighbor nodes through the following formula and feed back the state values to the sensor node:
in the formula, L αβ State value, r, of the beta-th neighbor node representing sensor node alpha αβmax The maximum communication radius of the beta-th neighbor node of the sensor node alpha, E (alpha beta, gamma) is the distance between the beta-th neighbor node of the sensor node alpha and the backbone node closest to the beta-th neighbor node, and z αβ The number of neighbor nodes, z, that the beta-th neighbor node of the sensor node alpha has α Number of neighbor nodes, y, of sensor node alpha 1 、y 2 Is a set weight factor and satisfies 0<y 1 ,y 2 <1。
For the case that backbone nodes do not exist in the communication range of the sensor nodes, the embodiment provides a human body pathological information data transmission mechanism of the sensor nodes far away from the backbone nodes, wherein a calculation formula of a state value is formulated according to the distance between a neighbor node and the backbone nodes closest to the neighbor node, the communication range and the node density, and the sensor nodes select the state value with the largest state value for assisting in forwarding the human body pathological information data by acquiring the state values of the neighbor nodes, so that the reliability of forwarding the human body pathological information data is favorably ensured, and the energy consumption of forwarding and transmitting the human body pathological information data is further saved;
because the state value of the sensor node is not measured by using the current residual energy in the human body pathological information data transmission mechanism, the sensor node only needs to acquire the state value once in the topology construction process, thereby avoiding energy consumption caused by multiple times of confirmation and saving the communication cost in the aspect of human body pathological information data collection.
Finally, it should be noted that the above embodiments are only used for illustrating the technical solutions of the present invention, and not for limiting the protection scope of the present invention, although the present invention is described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that modifications or equivalent substitutions can be made on the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention.
Claims (6)
1. A medical health care system based on the Internet of things is characterized by comprising a medical monitoring wireless sensor network, gateway equipment and terminal equipment, wherein the medical monitoring wireless sensor network is used for collecting human body pathological information data and transmitting the human body pathological information data to the gateway equipment, and the gateway equipment transmits the human body pathological information data to the terminal equipment through an infrastructure network by realizing seamless switching of the wireless sensor network, an Ethernet, a wireless local area network and a global mobile communication network.
2. The medical health care system based on the internet of things as claimed in claim 1, wherein the terminal device comprises a communication module, an information data storage module and an information data management module which are sequentially in communication connection.
3. The internet of things-based medical health care system according to claim 1, wherein the medical monitoring wireless sensor network comprises a base station node set outside the medical monitoring area and a plurality of sensor nodes deployed in the set medical monitoring area, and the base station node is in communication with the gateway device.
4. The medical health care system based on the internet of things as claimed in claim 3, wherein the sensor node acquires human body pathological information data including blood oxygen, pulse and body temperature through a blood oxygen probe, a pulse probe and a body temperature probe.
5. The medical health care system based on the internet of things as claimed in claim 3, wherein when the network topology is constructed, the sensor nodes select a plurality of backbone nodes through election, and the base station nodes establish routing paths from the backbone nodes to the base station nodes, so as to form a backbone network; the remaining sensor nodes send the collected human body pathological information data to the nearest backbone node, the backbone nodes are used for collecting the human body pathological information data sent by the sensor nodes, fusing the collected human body pathological information data with the human body pathological information data collected by the backbone nodes, and sending the fused human body pathological information data to the base station node according to the established routing path.
6. The internet of things-based medical health care system according to claim 5, wherein when the sensor nodes compete for the backbone nodes, the system specifically comprises:
(1) Initially, each sensor node acquires information of other sensor nodes in a communication range of the sensor node through information interaction, a neighbor node list is created and updated, a base station node is set as a sink, and each sensor node calculates a random threshold according to the following formula:
in the formula of U i Representing a random threshold, P, calculated by the sensor node i i Mu is the energy cost of sending a human body pathological information data packet to the set sensor node, v is the energy cost of receiving a human body pathological information data packet by the set sensor node, z is the current residual energy of the sensor node i i The number of neighbor nodes of the sensor node i is represented, wherein the neighbor nodes are other sensor nodes positioned in the communication range of the sensor node, and E (i, j) is the number between the sensor node i and the jth neighbor node thereofE (i, sink) is the distance between the sensor node i and the base station node, w 1 、w 2 Is a set weight factor and satisfies 0.8>w 1 ,w 2 >0；
(2) Each sensor node generates a random number between 0 and 1 by using a secure encrypted random number generator, and judges whether the random number is smaller than a calculated random threshold value, if so, the sensor node is selected as an alternative backbone node;
(3) And each alternative backbone node confirms whether other alternative backbone nodes exist in the communication range of the alternative backbone node through information interaction, if so, the current residual energy and the number of neighbor nodes are compared, if the current residual energy and the number of neighbor nodes are smaller than that of other alternative backbone nodes in the communication range, the backbone node election is abandoned, and finally, the alternative backbone nodes which are not abandoned and are elected by the backbone node election are successfully selected as the backbone nodes.
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Cited By (3)
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| CN108600987A (en) * | 2018-04-28 | 2018-09-28 | 深圳市创艺工业技术有限公司 | Medical environment data management system based on block chain technology |
| CN111092927A (en) * | 2019-11-01 | 2020-05-01 | 广东炬海科技股份有限公司 | Nursing information remote monitoring system |
| CN111917724A (en) * | 2020-06-29 | 2020-11-10 | 普瑞达建设有限公司 | Internet of things application security control method and system |
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| CN104809678A (en) * | 2015-05-13 | 2015-07-29 | 许金兰 | Medical health care system based on wireless sensor network and realization method thereof |
| GB2526091A (en) * | 2014-05-12 | 2015-11-18 | Senceive Ltd | Monitoring hub |
| CN107169293A (en) * | 2017-05-19 | 2017-09-15 | 上海博历机械科技有限公司 | Intelligent medical management system based on mobile terminal |
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| CN101695440A (en) * | 2009-10-26 | 2010-04-21 | 南京邮电大学 | Method for realizing medical and healthy care system based on Internet of things |
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| CN104809678A (en) * | 2015-05-13 | 2015-07-29 | 许金兰 | Medical health care system based on wireless sensor network and realization method thereof |
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN108600987A (en) * | 2018-04-28 | 2018-09-28 | 深圳市创艺工业技术有限公司 | Medical environment data management system based on block chain technology |
| CN111092927A (en) * | 2019-11-01 | 2020-05-01 | 广东炬海科技股份有限公司 | Nursing information remote monitoring system |
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Application publication date: 20180330 |