CLOUD-INTEGRATED IOT FEEDBACK DEVICE FOR MONITORING VENTILATOR AIRFLOW IN MEDICAL FACILITIES

Abstract

A cloud-integrated iot feedback device for monitoring ventilator airflow in medical facilities comprises ESP01 Wifi Module's (91) fundamental wireless connectivity allows for the real-time transfer of airflow data to a specially designed cloud server, facilitating the remote monitoring and management of ventilator systems in healthcare institutions the Flow Sensor, which is necessary for precise airflow measurement in ventilator systems, provides critical information for tracking and preserving peak performance, improving patient safety in healthcare facilities.

Specification

Description:FIELD OF THE INVENTION
This invention relates to cloud-integrated iot feedback device for monitoring ventilator airflow in medical facilities.
BACKGROUND OF THE INVENTION
Through IoT and cloud connection, this innovation revolutionizes the monitoring and control of airflow within ventilator systems in medical settings. It enables the real-time monitoring of airflow precision through the seamless integration of sensors and cloud technology, ensuring peak performance and patient safety. Moreover, it raises the standard, dependability, and effectiveness of ventilator operations, improving patient care and results in healthcare facilities.
The problem of precisely and effectively monitoring airflow within ventilator systems in healthcare settings is addressed by the CIFDT_VAFMote. Inadequate analysis capabilities and restricted access to real-time data are common problems with current monitoring systems. These flaws may cause errors, inefficiencies, and hold-ups in the identification and resolution of problems.
US20100003912A1: A ventilation apparatus for forming a sterile medical area mainly includes an operation module for ventilating the air. The apparatus for ensuring the air cleanliness includes a filtering unit for filtering dusts and particles in the air and a sterilizing unit for eliminating micro organisms. The clean and sterilized air is sent into the medical area via an air outlet to form a quasi-laminar air flow pattern. By application of the ventilation apparatus, the cleanliness of the medical area can be ensured.
RESEARCH GAP: IoT integrated control and monitoring feedback solution for Ventilator Airflow in Medical Facilities is the novelty of the system.
CN113883632B: According to the ventilation system for nursing and disinfection, air enters a main pipeline through a compressor at a ventilation inlet, a filter, a jet atomizer and a buffer chamber are sequentially arranged on the upstream of the main pipeline, a humidifier, an ionizer, an air ion meter, an impactor, a vacuum pump, an air ion meter and an anemometer are sequentially arranged on the downstream of the main pipeline, and the air is discharged into a ward through an air supply grille; a heater, a controller and a centrifugal fan are arranged in the buffer chamber; according to the effect evaluation indexes of steady-state simulation and transient simulation, optimal control parameters are obtained, and the controller transmits the optimal control parameters to each control component for layered ventilation, so that the exposure risk of medical staff in a hospital ward can be greatly reduced.
RESEARCH GAP: IoT integrated control and monitoring feedback solution for Ventilator Airflow in Medical Facilities is the novelty of the system.
SUMMARY OF THE INVENTION
This summary is provided to introduce a selection of concepts, in a simplified format, that are further described in the detailed description of the invention.
This summary is neither intended to identify key or essential inventive concepts of the invention and nor is it intended for determining the scope of the invention.
To further clarify advantages and features of the present invention, a more particular description of the invention will be rendered by reference to specific embodiments thereof, which is illustrated in the appended drawings. It is appreciated that these drawings depict only typical embodiments of the invention and are therefore not to be considered limiting of its scope. The invention will be described and explained with additional specificity and detail with the accompanying drawings.
This development offers a comprehensive method for tracking, evaluating, and controlling airflow in ventilator systems in healthcare settings. It improves patient outcomes and healthcare delivery by increasing the effectiveness, dependability, and safety of ventilator operations through the use of IoT technologies, cloud services, and real-time data analysis. This device is installed in the ventilator system and consists of the Raspberry Pi PICO Board, ESP01 Wifi Module, Flow Sensor, SSR Module, Touch Display, Indicator, and Power Supply, among other components. In order to monitor airflow and identify departures from the intended values, the Flow Sensor is essential. After integration, it monitors airflow continually and sends the data via the ESP01 WiFi Module to a cloud server that is designed. This cloud server is designed to collect, store, and process data from several CIFDT_VAFMote devices that are placed in different healthcare institutions.
BRIEF DESCRIPTION OF THE DRAWINGS
The illustrated embodiments of the subject matter will be understood by reference to the drawings, wherein like parts are designated by like numerals throughout. The following description is intended only by way of example, and simply illustrates certain selected embodiments of devices, systems, and methods that are consistent with the subject matter as claimed herein, wherein:
FIGURE 1: SYSTEM ARCHITECTURE
The figures depict embodiments of the present subject matter for the purposes of illustration only. A person skilled in the art will easily recognize from the following description that alternative embodiments of the structures and methods illustrated herein may be employed without departing from the principles of the disclosure described herein.
DETAILED DESCRIPTION OF THE INVENTION
The detailed description of various exemplary embodiments of the disclosure is described herein with reference to the accompanying drawings. It should be noted that the embodiments are described herein in such details as to clearly communicate the disclosure. However, the amount of details provided herein is not intended to limit the anticipated variations of embodiments; on the contrary, the intention is to cover all modifications, equivalents, and alternatives falling within the scope of the present disclosure as defined by the appended claims.
It is also to be understood that various arrangements may be devised that, although not explicitly described or shown herein, embody the principles of the present disclosure. Moreover, all statements herein reciting principles, aspects, and embodiments of the present disclosure, as well as specific examples, are intended to encompass equivalents thereof.
The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of example embodiments. As used herein, the singular forms "a"," "an" and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It will be further understood that the terms "comprises," "comprising," "includes" and/or "including," when used herein, specify the presence of stated features, integers, steps, operations, elements and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components and/or groups thereof.
It should also be noted that in some alternative implementations, the functions/acts noted may occur out of the order noted in the figures. For example, two figures shown in succession may, in fact, be executed concurrently or may sometimes be executed in the reverse order, depending upon the functionality/acts involved.
In addition, the descriptions of "first", "second", "third", and the like in the present invention are used for the purpose of description only, and are not to be construed as indicating or implying their relative importance or implicitly indicating the number of technical features indicated. Thus, features defining "first" and "second" may include at least one of the features, either explicitly or implicitly.
Unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which example embodiments belong. It will be further understood that terms, e.g., those defined in commonly used dictionaries, should be interpreted as having a meaning that is consistent with their meaning in the context of the relevant art and will not be interpreted in an idealized or overly formal sense unless expressly so defined herein.
This development offers a comprehensive method for tracking, evaluating, and controlling airflow in ventilator systems in healthcare settings. It improves patient outcomes and healthcare delivery by increasing the effectiveness, dependability, and safety of ventilator operations through the use of IoT technologies, cloud services, and real-time data analysis. This device is installed in the ventilator system and consists of the Raspberry Pi PICO Board, ESP01 Wifi Module, Flow Sensor, SSR Module, Touch Display, Indicator, and Power Supply, among other components. In order to monitor airflow and identify departures from the intended values, the Flow Sensor is essential. After integration, it monitors airflow continually and sends the data via the ESP01 WiFi Module to a cloud server that is designed. This cloud server is designed to collect, store, and process data from several CIFDT_VAFMote devices that are placed in different healthcare institutions.
Real-time analysis of incoming airflow data is done by specified algorithms on the cloud server side. These algorithms look for abnormalities or deviations that might point to possible problems with the ventilator system's operation by comparing the observed airflow to specified thresholds and patterns. When irregularities are detected, critical notifications are produced immediately, guaranteeing that medical staff can respond and intervene quickly. The cloud server also produces detailed data analysis reports and trending data charts. These insights provide useful data about the effectiveness and performance of the ventilator system over time, allowing medical professionals to see patterns, pinpoint issues, and enhance airflow control procedures.
Additionally, the CIFDT_VAFMote device has an SSR Module and Touch Display that allow medical operators to engage and manage the ventilator system locally. Operators can monitor trending charts, respond to urgent alarms, and obtain real-time airflow data with the Touch Display interface. Using the SSR Module, they can also modify ventilation settings and parameters to guarantee ideal airflow management based on clinical needs and patient demands. Furthermore, the ventilation systems may be remotely monitored and controlled through the internet thanks to the cloud server's bespoke user interface. Medical operators can access the mobile dashboard by safely logging into their accounts from any internet-connected device, including PCs and smartphones. This dashboard ensures ongoing monitoring and intervention when needed by providing an easy-to-use interface for viewing real-time data, analyzing trends, and remotely adjusting ventilator airflow parameters.
BEST METHOD OF WORKING
The ESP01 Wifi Module's fundamental wireless connectivity allows for the real-time transfer of airflow data to a specially designed cloud server, facilitating the remote monitoring and management of ventilator systems in healthcare institutions.
The Flow Sensor, which is necessary for precise airflow measurement in ventilator systems, provides critical information for tracking and preserving peak performance, improving patient safety in healthcare facilities.
The SSR Module, which provides local control capabilities, enables medical operators to modify ventilation parameters and settings in response to real-time data, guaranteeing accurate airflow management and enhancing patient safety in healthcare facilities.
The Flow Sensor, which is attached to the CIFDT_VAFMote, measures airflow in ventilator systems precisely. It provides vital information for monitoring and guaranteeing peak performance, which improves patient safety in healthcare facilities.
The CIFDT_VAFMote's integrated SSR Module is utilized to enable local control of the ventilator system. This feature enables medical personnel to modify ventilation parameters and settings in response to real-time data, guaranteeing accurate airflow management and patient safety in healthcare institutions.
The CIFDT_VAFMote Touch Display interfaces with medical operators to offer an easy-to-use interface for real-time airflow data access, trending chart viewing, and critical alert response. This promotes smooth ventilator system control and interaction within medical facilities.
ADVANTAGES OF THE INVENTION
1. The CIFDT_VAFMote is a comprehensive Internet of Things (IoT) solution that enhances patient safety and operational efficiency by enabling real-time ventilator airflow monitoring, analysis, and remote control in healthcare facilities.
2. The Raspberry Pi PICO Board, which functions as the CIFDT_VAFMote system's central processing unit, makes data collection, processing, and communication easier. This guarantees the system's smooth integration and ventilator airflow monitoring in healthcare facilities.
3. The ESP01 Wifi Module's fundamental wireless connectivity allows for the real-time transfer of airflow data to a specially designed cloud server, facilitating the remote monitoring and management of ventilator systems in healthcare institutions.
4. The Flow Sensor, which is necessary for precise airflow measurement in ventilator systems, provides critical information for tracking and preserving peak performance, improving patient safety in healthcare facilities.
5. The SSR Module, which provides local control capabilities, enables medical operators to modify ventilation parameters and settings in response to real-time data, guaranteeing accurate airflow management and enhancing patient safety in healthcare facilities.
, Claims:1. A cloud-integrated iot feedback device for monitoring ventilator airflow in medical facilities comprises ESP01 Wifi Module's (91) fundamental wireless connectivity allows for the real-time transfer of airflow data to a specially designed cloud server, facilitating the remote monitoring and management of ventilator systems in healthcare institutions.
2.The device as claimed in claim 1, wherein the Flow Sensor, which is necessary for precise airflow measurement in ventilator systems, provides critical information for tracking and preserving peak performance, improving patient safety in healthcare facilities.
3. The device as claimed in claim 1, wherein the SSR Module, which provides local control capabilities, enables medical operators to modify ventilation parameters and settings in response to real-time data, guaranteeing accurate airflow management and enhancing patient safety in healthcare facilities.
4. The device as claimed in claim 1, wherein the Flow Sensor, which is attached to the CIFDT_VAFMote, measures airflow in ventilator systems precisely, it provides vital information for monitoring and guaranteeing peak performance, which improves patient safety in healthcare facilities.
5. The device as claimed in claim 1, wherein the CIFDT_VAFMote's integrated SSR Module is utilized to enable local control of the ventilator system, this feature enables medical personnel to modify ventilation parameters and settings in response to real-time data, guaranteeing accurate airflow management and patient safety in healthcare institutions.
6. The device as claimed in claim 1, wherein the CIFDT_VAFMote Touch Display interfaces with medical operators to offer an easy-to-use interface for real-time airflow data access, trending chart viewing, and critical alert response, this promotes smooth ventilator system control and interaction within medical facilities.

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