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Intravenous drip intelligent Internet of Things monitoring system and method thereof

A technology of network monitoring and intravenous infusion, which is applied in the direction of control/regulation system, flow monitor, flow control, etc., can solve the problems of limited number of medical staff, patients running needles, allergies and signs of crisis response, etc., and reach the goal of nurses and doctors The effect of easy work and reduced workload

Inactive Publication Date: 2020-04-07
YUNNAN UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] Infusion is a common method for modern people to treat diseases, especially for critical, urgent, and severe patients. However, infusion treatment often takes a long time, and most patients are in an unconscious state, unable to judge the completion time of infusion. Inform the nurse to close the infusion system, and during the infusion process, the patient often has dangerous phenomena such as running needles, allergies and signs of crisis reactions, and the doctor, nurses and family members cannot be notified in time
At the same time, when there are many infusion patients in the hospital, due to the limited number of medical staff, it is impossible to know the infusion process and infusion status of each patient in time. Once a dangerous phenomenon occurs during the infusion process, tragedy will occur
In view of the problems existing in the existing infusion monitoring system, such as complex changes in the patient's condition, difficulties in effective monitoring by nurses and family members, and lagging feedback from doctors,
[0003] At present, only a few hospitals in China use intelligent systems to optimize traditional infusions, and the intelligent infusion monitoring system used has deficiencies in many aspects. The infusion system will sound an alarm after the completion, but it does not stop the infusion in time, so that when the patient reacts, he finds that the blood has returned; in addition, because the alarm sound is sharp, it will make the patient irritated, and the traditional infusion has not been fundamentally optimized. purpose of the system

Method used

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  • Intravenous drip intelligent Internet of Things monitoring system and method thereof
  • Intravenous drip intelligent Internet of Things monitoring system and method thereof
  • Intravenous drip intelligent Internet of Things monitoring system and method thereof

Examples

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Effect test

Embodiment 1

[0024] Embodiment 1: as figure 1 As shown, an intravenous infusion intelligent Internet of Things monitoring system includes several sets of hardware monitoring components of the lower computer, an intelligent mobile terminal connected to the hardware monitoring module of the lower computer through wireless communication, and a PC cloud platform. The hardware monitoring components of the lower computer include : Cross-shot counting sensor, installed on the dripping pot, used to collect the dripping liquid in the dripping pot, and can transmit the dripping signal to the Arduino main board; the Arduino main board is used to process the dripping signal, and can pass through the adjacent The time difference between the two drip signals obtains the drip flow rate information, and has the infusion control processing function of monitoring the drip flow rate, whether the liquid is stopped, alarming, and sending control commands for processing; the buzzer module, and Arduino Mainboard...

Embodiment 2

[0027] Embodiment 2: on the basis of embodiment 1, as Figure 1-5 As shown, the technical scheme of the present invention is further described in detail: the specific work of each part of the system is as follows:

[0028] Lower computer hardware monitoring:

[0029] HC-89 through-beam counting sensor: According to the principle of HC-89 through-beam counting sensor, we can calculate the time difference between two droplet falls by obtaining the time when the droplet passes the sensor twice adjacently, so as to obtain the The number of times a droplet falls, that is, the flow rate of the droplet. Assume that the time of the first droplet dropping is T 1 , the time of the second drop is T 2 , the droplet speed per minute is

[0030]

[0031] According to the above principles, the dripping speed of the droplets in the dripping pot is collected. And the Arduino main board preprocesses the collected drop speed data.

[0032] The collection part of the intravenous droplet ...

Embodiment 3

[0044] Embodiment 3: based on embodiment 1 and 2, as Figure 4 ~ Figure 7 As shown, the present embodiment provides a monitoring method for intravenous infusion intelligent Internet of Things, comprising the following steps:

[0045] S1. Start the hardware monitoring component of the lower computer, and the Arduino main board obtains the drip flow rate information and the real-time health status information of the patient;

[0046] S2. The Bluetooth wireless communication module is connected to the smart mobile terminal and the PC cloud platform through the wireless transmission protocol, and transmits the drip flow rate information and the patient's real-time health status information to the smart mobile terminal and the PC cloud platform in real time;

[0047] S3. The smart mobile terminal and / or PC-side cloud platform displays and monitors the current patient's real-time health status information and drip flow rate information, as well as stores and backs up;

[0048]S4. W...

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Abstract

The invention discloses an intravenous drip intelligent Internet of Things monitoring system and a method thereof. The intravenous drip intelligent Internet of Things monitoring system comprises a plurality of sets of lower computer hardware monitoring assemblies, an intelligent mobile terminal in wireless communication connection with the lower computer hardware monitoring assemblies, and a PC-end cloud platform. The above three parts form a Bluetooth Mesh network for signal transmission by using a Bluetooth wireless communication technology; infusion information of a plurality of wards or aplurality of medical departments is collected, and a health wristband is configured for a patient, so that a doctor can obtain vital signs of the patient in real time and timely response can be carried out when the patient goes wrong; classified management can be carried out on patients in a ward according to feedback collected vital sign information of the patients, so that work of nurses and thedoctor is easier; in addition, patients can stop the infusion system through a mouth command, so that double guarantees are provided for the patients. According to the invention, infusion alarm can be achieved, and rich functions of monitoring physical sign information of patients, collecting information of patients, classifying patients and the like are added.

Description

technical field [0001] The invention relates to the technical field of intelligent monitoring in the medical treatment process, in particular to an intravenous infusion intelligent Internet of Things monitoring system and method. Background technique [0002] Infusion is a common method for modern people to treat diseases, especially for critical, urgent, and severe patients. However, infusion treatment often takes a long time, and most patients are in an unconscious state, unable to judge the completion time of infusion. Notify the nurse to close the infusion system, and during the infusion process, the patient often has dangerous phenomena such as running needles, allergies, and sign crisis reactions, and the doctor, nurses, and family members cannot be notified in time. At the same time, when there are many transfusion patients in the hospital, due to the limited number of medical staff, it is impossible to know the infusion process and status of each patient in time. Onc...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61M5/168A61B5/0205A61B5/00
CPCA61B5/02055A61B5/021A61B5/024A61B5/681A61B5/746A61M5/16804A61M5/1684A61M2205/18A61M2205/3334
Inventor 常俊余江宗容陈哲史瑞瑞周祥罗艺娴朱安琪邹潇晗曾伟许广庆
Owner YUNNAN UNIV
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