Oxygen uptake charging system based on Internet of things

Abstract

The invention relates to an oxygen uptake charging system based on Internet of things, which comprises an oxygen flowmeter, a floor Internet of things switch and a server, wherein the oxygen flowmeteris provided with an oxygen output port and a metering transmitting plate connected with the oxygen output port; the metering transmitting plate is provided with an LORA wireless transmitter and a pressure sensor; the metering transmitting plate detects the airflow pressure of the oxygen output port through the pressure sensor, converts the airflow pressure into data and transmits the data to thefloor Internet of things switch through the LORA wireless transmitter; and the floor Internet of things switch uploads the data to the server. When the bed begins to use oxygen, the oxygen output portof the oxygen flowmeter begins to output oxygen, the pressure sensor can sense the airflow pressure change of the oxygen output port and generate a signal at the moment, the metering transmitting plate transmits the signal to the floor Internet of things switch through the LORA wireless transmitter, the floor Internet of things switch receives data and transmits the data to the server through theTCP network, and the server begins to time and charge; otherwise, the pressure sensor cannot detect the airflow pressure, and the charging is stopped.

Description

technical field [0001] The invention relates to the technical field of medical supplies and equipment, in particular to an oxygen inhalation billing system based on the Internet of Things. Background technique [0002] Now in the hospital ward, each bed is equipped with an oxygen output device, and the use time is settled through the oxygen flow meter, so as to calculate the cost. However, the problems with this setting in the past are: 1. Since the oxygen flowmeters of each bed are set independently, the billing personnel want to know the oxygen usage of each bed, and need to manually patrol the ward and copy the oxygen flowmeters one by one In order to monitor the real-time situation, regular inspections are required to record periodic changes, resulting in heavy billing tasks, time-consuming and labor-intensive. 2. Uncertainty of bed oxygen inhalation demand, patients start and stop at times, equipment use rules are different, if network monitoring is adopted, equipment ...

AI Technical Summary

Problems solved by technology

However, the problems with this setting in the past are: 1. Since the oxygen flowmeters of each bed are set independently, the billing personnel want to know the oxygen usage of each bed, and need to manually patrol the ward and copy the oxygen flowmeters one by one The real-time situation of the real-time situation must be inspected regularly to record the periodic changes, resulting in heavy billing tasks, time-consuming and labor-intensive

2. Uncertainty of bed oxygen inhalation demand, patients start and stop at times, equipment use rules are different, if network monitoring is adopted, equipment must be synchronized with the network at regular intervals (relatively frequently), resulting in increased power consumption and shortened battery life and so on

3. There are many beds in the hospital, the floor structure is high and far away, and the environment is complex. A large number of oxygen flow meters transmit signals at the same time. If wiring is required, the project will be large and involve ward renovation. If ordinary wireless connection is used, it will easily cause insufficient coverage. Inefficiency, and even problems such as signal interference

4. Billing and settlement are opaque. The use of oxygen flowmeters and billing methods are only operated by the hospital. It is difficult for patients to understand their own consumption in real time. It is easy to cause information asymmetry between doctors and patients, which hinders communication.

5. It is difficult to observe the readings of the oxygen flow meter when the patient is on the bed and the family members are in a sitting position. It is necessary to get up or approach to adjust the viewing angle of the person, but the oxygen flow meter cannot be adjusted to facilitate observation.

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