WO2018169302A1

WO2018169302A1 - Wheelchair malfunction diagnosis and notification system using smart phone

Info

Publication number: WO2018169302A1
Application number: PCT/KR2018/002974
Authority: WO
Inventors: 제양규
Original assignee: 피플리안주식회사
Priority date: 2017-03-16
Filing date: 2018-03-14
Publication date: 2018-09-20
Also published as: KR20180106912A

Abstract

When a malfunction occurs while using a wheelchair, a physically handicapped person or elderly person may become acutely embarrassed. If a wheelchair malfunction can be warned of in advance, and a cause of a malfunction can be notified of, various countermeasures can be taken. Currently, in some wheelchairs, a battery gauge is used to notify of a malfunction and the cause of a malfunction, however, it is uncertain whether blinking of the battery gauge means a real malfunction and it is also difficult to know what kind of malfunction the blinking means. In the present invention, it is possible to: analyze various pieces of information collected through smartphones used by many persons; diagnose, determine, and predict a malfunction and a cause of the malfunction; and notify of various countermeasures. Even when a wheelchair does not operate due to a malfunction or power not being turned on, a cause of a malfunction can be identified using a malfunction and driving information DB recorded up to before the occurrence of the malfunction. If necessary, it is possible to transmit the malfunction and driving information DB to a nearby AS center, so as to identify an accurate cause of a malfunction through an expert, receive an immediate countermeasure transmitted in return, and enable an accurate AS support.

Description

Wheelchair breakdown diagnosis and notification system using smartphone

One of the great difficulties faced by users such as electric wheelchairs and medical scooters, such as the elderly and the disabled, is that the wheelchairs stop working due to sudden breakdowns during wheelchair operation. Psychological or physical discomfort experienced by uncomfortable users is very great when the wheelchair is stopped in the middle of the road due to battery discharge or an unknown failure while driving. Wheelchair malfunction diagnosis and notification system using smartphones diagnoses failures of electric wheelchairs and medical scooters by using smartphones used by many people, and informs them in advance or diagnoses the cause of the failure when a failure occurs. It is about a system that can immediately inform various measures.

It is not easy for the wheelchair user who is uncomfortable to solve the trouble by himself when the driver suddenly stops due to a trouble of unknown cause during driving. The National Health Care Corporation supports the cost of purchasing electric wheelchairs every six years. In particular, electric wheel chairs on the market have a lot of low- and low-priced Chinese imports, and most electric wheel chairs do not have a nationwide AS network, and emergency dispatch service is difficult.

Electric wheelchairs, medical scooters, etc. can be used for 3-4 hours after charging about 9 hours, but it is difficult to find a place to charge when the battery is discharged while driving, and also hard to charge for a long time. For this purpose, some municipalities install quick charging stations, but the number of installations is limited. In addition, the electric wheelchair is large and weighs more than 100kg, so it is difficult to carry it on a passenger car. Without knowing the cause of the breakdown, it is not easy to get the necessary parts in advance even if an AS technician comes to repair.

If the fault of the electric wheelchair is diagnosed from time to time and informed to the user, the fault can be prevented in advance, and when the fault occurs, the cause and the countermeasure of the fault can be easily diagnosed and informed. Some electric wheelchairs are equipped with a device for diagnosing the failure of each component. Although the battery gauge indicates the wheelchair failure, it is often not known whether the blinking signal of the battery gauge indicates the failure, and it is not easy to immediately determine the cause of the complex failure of various components through the battery gauge. It is hard to tell.

The present invention relates to a system for diagnosing faults such as electric wheelchairs and medical scooters by using a smart phone in advance, and informing the cause of the fault and various countermeasures through a smart phone screen and sound when a fault occurs. will be. It also connects to an AS center for precise diagnosis and accurate AS support.

In order to diagnose failures of electric wheelchairs or medical scooters, a device for diagnosing a failure of a component is required. It should be able to diagnose, judge, and predict faults by analyzing fault information, operation and system information sent from fault diagnosis device, and easily inform users of faults and causes and various countermeasures in a short time. If the wheelchair fails to receive the fault information from the fault diagnosis device, it should be possible to analyze the information recorded before the breakdown and find the cause and countermeasures. In addition, if it is difficult for the user to solve the problem by himself, the user should be able to send a variety of information on the problem to an expert to analyze the cause of the problem.

There is a need for a failure diagnosis apparatus that can diagnose failure of various parts of the wheelchair, and the collected failure information should be able to be transmitted and received through wired and wireless communication.

Smartphones used by many people are getting high performance rapidly, so even if they send complex fault information, they can easily analyze and judge. In order to diagnose, determine and predict failures, smartphone app development is required. The smartphone app analyzes the fault information and driving and system information received from the wheelchair controller through wired and wireless to diagnose, determine and predict the fault, and identify the cause of the breakdown to inform the user of the fault through the smartphone screen or sound. If necessary, it should be possible to suggest the cause and solution of the failure. The smartphone app must also be able to connect to the AS center as needed, send fault information to the AS center, and support expert cause analysis and response.

Fault diagnosis and notification devices using smartphones can diagnose, determine, predict and predict faults and causes in advance, and easily inform the countermeasures. In addition, even if no information can be received from the electric wheelchair that has stopped working due to a failure, the failure diagnosis data received before the failure can be used to easily diagnose the cause of the failure and provide a solution. It is inexpensive and can perform high performance functions because it uses a smartphone that many people are using. By using a smartphone, the AS center can be easily connected to exchange data and receive various support. In addition, the upgrade of the smartphone app has the advantage that it is possible to easily upgrade the failure diagnosis and notification system.

1 is a view showing a variety of failure information through the battery gauge of the electric wheelchair joystick device

2 is a procedure required for effectively diagnosing and solving a wheelchair failure,

Figure 3 illustrates the structure of the entire system for diagnosing, evaluating, predicting and predicting a failure of an electric wheelchair using a smartphone.

Figure 4 is a configuration of the app of the smartphone that can diagnose, determine, predict and warn the failure by analyzing the collected information, such as fault information, driving and system information sent from the electric wheelchair controller,

5 shows the contents of the fault and operation information DB,

6 is a main feature and advantages of the wheelchair failure diagnosis and notification system using a smartphone

Each is shown.

4

Some electric wheelchairs are equipped with a device for diagnosing the failure of wheelchair parts. As shown in Fig. 1, the battery gauge blinking on the electric wheelchair joystick device notifies the failure of various parts, but users cannot immediately recognize the cause of the complicated failure of the various parts by blinking the battery gauge. Many users even don't know if flickering battery gauges indicate fault information.

Figure 2 shows the steps necessary to effectively diagnose and resolve wheelchair failures. First of all, there is a need for a failure diagnosis device that can diagnose the failure of various parts of the wheelchair. Fault information should be collected through the fault diagnosis device, and various information such as operation information and system information should be analyzed to diagnose, determine and predict the fault, and analyze and determine the cause of the fault. At this time, in order to effectively analyze, diagnose, determine, and predict failures and their causes from various information, a failure and operation information DB is required. The fault and operation information DB includes fault diagnosis criteria, fault cause analysis and judgment criteria.

By analyzing the collected fault information, driving and system information, if the wheelchair is determined to be faulty or predicted, the user is quickly notified of the fault. In addition, it can warn of a failure and take emergency measures such as shutdown. Next, the cause of the failure can be indicated and a solution can be suggested. In addition, fault information and fault diagnosis history are recorded in the fault and operation information DB.

If immediate resolution is not possible, for example replacement of parts or assistance from a qualified technician, contact an AS center for AS support. In particular, when connected to an AS center for repair, the exact cause of the failure must be known so that appropriate parts can be prepared. In some cases, if the cause of the failure is not well understood or the solution is not solved by the proposed solution, it is necessary to analyze the cause of the failure diagnosis and devise a solution. At this time, trouble and operation information DB can be sent to AS center for expert analysis and judgment.

If a wheelchair fails to work due to a breakdown or does not even turn on, it is difficult to determine the cause of the breakdown. However, if various fault information, driving and system information, fault cause analysis and judgment information, etc., which are input in real time are recorded in the fault and operation information DB as shown in Fig. 2, even if a fault occurs or power is not supplied to the wheelchair, the fault information is displayed. Even if it is not collected, it is easy to determine the cause of the failure by using the fault and operation information DB recorded before the failure.

Figure 3 shows the structure of the entire system that uses smartphones to diagnose and evaluate failures of electric wheelchairs or medical scooters and perform notifications. The wheelchair is composed of a motor controller 110, a battery 120, a joystick 130, various accessories such as a getting on and off support device and a seat height adjusting device 150, and a wheelchair controller 200 for controlling the same. The wheelchair controller is provided with a device for diagnosing failures such as a motor, a battery, a joystick, and various accessories, and a device capable of transmitting and receiving failure information, driving and system information via wired or wireless communication.

The smartphone 300 that can be easily attached to and detached from a wheelchair has a smartphone app installed to receive various information sent from the wheelchair controller 200 and diagnose, determine, and predict a failure. If it is determined that the wheelchair is broken, the smartphone app notifies the user of the failure through the smartphone screen or sound. If necessary, by using the communication function of the smart phone to connect to the AS center 500 to receive various AS support. In addition, the smart phone uses a built-in gravity accelerometer, GPS, and other sensors to measure information such as the inclination of the wheelchair, driving speed, distance, and location, and sets the maximum speed. When this occurs, it can function to send a signal such as a stop to the controller 200.

The most frequent failure when using electric wheelchairs and medical scooters is the sudden discharge of the battery. As the battery is used, aging progresses and the battery power can be reduced. By tracking system information such as battery voltage changes according to the usage time, it is possible to predict the available time of the battery in consideration of battery aging. By using collected driving and system information, it is possible to diagnose, determine, and predict various and complex failures on a smartphone.

Figure 4 shows the configuration of the app of the smartphone that can alert the user by analyzing and diagnosing the fault information sent from the wheelchair controller 200. The smartphone app may receive 320 various information from the controller 200 through a wired or wireless communication such as Bluetooth. By analyzing the received various information and the failure and operation information DB (380) to diagnose, determine, predict the failure, and determine the cause of the failure (330). If it is determined that the failure (350), and warn the user 360 through the smartphone screen or sound (360). It alerts you to failures through the screen or sound of your smartphone, so you can tell the location of the failure, the cause of the failure, and various countermeasures. If necessary, the AS support can be requested (370), and can be connected to the AS center to receive AS support. When analyzing and determining a more specialized fault diagnosis, the fault and operation information DB 380 may be transmitted to the AS center 390.

Figure 5 shows the contents of the fault and operation information DB. If the wheelchair is broken and the parts are not operated anymore, or if the wheelchair is no longer powered and it is difficult to receive the fault information through the wheelchair controller, the fault recorded in the fault and operation information DB 380 until just before the breakdown. The fault can be diagnosed using the information 381, the fault diagnosis history 382, and the like. For more effective fault diagnosis, it is necessary to continuously upgrade the fault diagnosis criteria 384, the cause cause analysis and determination criteria 385, and the solution and countermeasures 386. To this end, a failure and driving information DB 380 may be upgraded by upgrading the smartphone app.

Figure 6 highlights the key features and benefits of a wheelchair fault diagnosis and notification system using a smartphone. The fault diagnosis and notification device using a smartphone has many advantages over the conventional fault diagnosis and notification device using a battery gauge. The biggest advantage is that when a failure occurs, the failure information can be delivered immediately and directly through the smartphone screen or sound. Fault diagnosis and notification devices using battery gauges are difficult to tell which fault signal indicates the blinking signal on the battery gauge. However, 'diagnosis and notification device using smartphone' is displayed through smartphone screen or sound, so it is very convenient to inform accurate fault information and various countermeasures.

Another big advantage is the integrated analysis of fault information, operation and system information, which enables the diagnosis, determination and prediction of complex faults on a smartphone, and the continuous upgrade of the analysis and judgment system. For example, the most frequent failure when using an electric wheelchair and medical scooter is a sudden battery discharge, which has the advantage of predicting the available time in advance in consideration of aging of the battery.

`` Fault diagnosis and notification device using smartphone '' includes fault information (381), fault diagnosis history (382), fault diagnosis criteria (384), cause analysis and determination criteria (385), solutions and countermeasures (386), etc. Failure and operation information can be continuously recorded or upgraded in the DB (380). A more accurate and effective diagnosis and determination is possible if the failure diagnosis criteria 384, the criteria 385 for analyzing and determining the cause of the failure, and the resolution and countermeasures 386 are continuously upgraded. In addition, you can request AS support by connecting to the AS center through a smartphone, and send the fault information (381), fault diagnosis history (382), and system information (383) to the AS center for more accurate cause of failure by the experts. Analysis and countermeasures are possible. Knowing the exact cause of failure analysis makes it easy to come up with countermeasures and procure the necessary parts in advance.

One of the great difficulties faced by users such as electric wheelchairs and medical scooters, such as the elderly and the disabled, is that the wheelchairs stop working due to sudden breakdowns during wheelchair operation. Psychological or physical discomfort experienced by uncomfortable users is very great when the wheelchair is stopped in the middle of the road due to battery discharge or an unknown failure while driving. Wheelchair fault diagnosis and notification system using smartphones diagnoses faults such as electric wheelchairs and medical scooters by using smartphones and informs them in advance, or diagnoses the cause of the fault when a fault occurs, and promptly measures various measures. It is a system that can tell. By utilizing the smartphones that many people use, they can provide innovative fault diagnosis and notification functions at great cost, which can be very helpful in practical use.

Claims

A controller 200 capable of transmitting and receiving various information such as fault information, driving and system information of electric safety equipment such as electric wheelchairs and medical scooters through wired and wireless communication;

Easily attached and detached to the steering wheel of the electric safety equipment, and connected to the controller 200 through wired and wireless communication, the function to send and receive various information, the function as an instrument panel to provide various information to the driver in real time through the screen and sound, and the inside Smart phone with the function to measure the tilt of the electric safety equipment by using various sensors such as a gravity accelerometer, and the function to send a signal such as a stop to the controller 200 when a failure or emergency occurs. 300) ;

Receiving fault information, operation and system information, etc. from the controller 200 through wired and wireless communication (320) , and analyzing the collected and measured information to diagnose, determine, predict the failure (330) , and further failure Determining the cause of the step 330, and if it is determined that the failure (340) to warn through the screen or sound of the smartphone (360), and the step 350 to inform the cause and solution of the failure , etc. Smartphone apps that can diagnose and alert you;

Fault diagnosis and notification devices, including
In claim 1;

Fault information 381, system information 383, fault diagnosis criteria 384, solutions and countermeasures 386, operation information 388, etc. can be used to more effectively analyze, diagnose, judge, and predict faults. Fault diagnosis and notification device with included fault and operation information DB 380
In claim 2;

The fault diagnosis history 382 including the received fault information 381, the cause analysis and the determination result can be recorded in the fault and operation information DB 380, and the fault diagnosis criteria 384, the fault cause analysis and determination Fault diagnosis and notification device that can upgrade the standard (385), resolution and response (386), AS information (387), etc. from time to time to the fault and operation information DB (380) via smartphone communication
In claim 3;

Fault information 381, fault diagnosis history 382, system information 383 stored in the fault and operation information DB 380 when the wheelchair is not powered on or the wheelchair is not able to receive fault information from the wheelchair controller. , Fault diagnosis and notification device that can identify the cause of the failure by using the cause analysis and judgment criteria (385), operation information (388), etc.
In claim 3;

When requesting the support for the AS through the smartphone app (370) Fault and operation information stored in the fault information DB 380 (381), fault diagnosis history 382, system information (383), driving information (388), etc. Fault diagnosis and notification device that can be transmitted to the AS center 390 for fault diagnosis analysis and judgment by experts
In claim 1;

When it is determined that an emergency situation has occurred from the collected information and the measured information such as the fault information received from the controller 200, the driving and system information, and the signals measured from various sensors mounted in the smartphone, the controller 200 stops, etc. Fault diagnosis and notification devices that can signal