CN107168198A - A kind of active intervention type method for controlling intelligent wheelchair and device - Google Patents

A kind of active intervention type method for controlling intelligent wheelchair and device Download PDF

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Publication number
CN107168198A
CN107168198A CN201710333420.5A CN201710333420A CN107168198A CN 107168198 A CN107168198 A CN 107168198A CN 201710333420 A CN201710333420 A CN 201710333420A CN 107168198 A CN107168198 A CN 107168198A
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China
Prior art keywords
control
wheelchair
intelligent
active
module
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Pending
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CN201710333420.5A
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Chinese (zh)
Inventor
李文锋
杨怡
张煜
殷平宝
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Wuhan University of Technology WUT
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Wuhan University of Technology WUT
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Priority to CN201710333420.5A priority Critical patent/CN107168198A/en
Publication of CN107168198A publication Critical patent/CN107168198A/en
Pending legal-status Critical Current

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    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B19/00Programme-control systems
    • G05B19/02Programme-control systems electric
    • G05B19/04Programme control other than numerical control, i.e. in sequence controllers or logic controllers
    • G05B19/048Monitoring; Safety

Abstract

The present invention provides a kind of active intervention type method for controlling intelligent wheelchair, and wheelchair has two kinds of control models:Active Control Mode, user is controlled manually by control panel, and control panel is provided with button and control stick;Intelligent control mode, the signal gathered by external environment condition sensor is automatically controlled;Automatically into intelligent control mode during startup wheelchair;Under intelligent control mode, real-time judge whether there is abnormal conditions, if in the presence of, alarm, prompting user's progress active intervention;Enter Active Control Mode when user has input signal to control panel;Under Active Control Mode, the amplitude of joystick signal is respectively less than default amplitude threshold within a period of time, then automatically switches to intelligent control mode.The present invention is on the basis of intelligent control, and supplement actively intervenes means, and automatic decision alarm is carried out to unusual condition, reminds user actively to intervene, and manipulates active control module to control wheelchair to run, to avoid the generation of danger, so as to ensure security.

Description

A kind of active intervention type method for controlling intelligent wheelchair and device
Technical field
The invention belongs to intelligent wheel chair accessory design field, more particularly to a kind of active intervention type method for controlling intelligent wheelchair And device.
Background technology
With the continuous progress of information and communication technology (ICT), science and technology is being dissolved into our daily life, and brings nothing The facility of limit with it is comfortable.Serious with world population ages, report shows the ratio of aging population via 1994 9% reach 2014 12%, it is contemplated that be up to 21% to the year two thousand fifty.Serious aging situation and exist including disabled person The quantity of interior handicapped crowd is increasing, and wheelchair is used as the important generation of the handicapped crowd such as handicapped and elderly Step instrument, designing more preferable intelligent wheel chair turns into active demand.
, can only be by legacy equipments such as control stick, buttons to wheel and existing intelligent wheel chair controller control form is single Chair is controlled, lack of wisdom, and control interface is closed, and which increase the difficulty that external control signal accesses wheelchair.Now Man-machine interaction mode it is varied, while with the development of sensor technology, Intellisense equipment is also more and more, therefore sets Counting the intelligent wheel chair control device of a open interface has great application value.
But the intelligent also deficiency of current various sensors and awareness apparatus, the single awareness apparatus outside is realized The intelligent control of wheelchair also acquires a certain degree of difficulty, while security is also difficult to ensure that.
The content of the invention
The technical problem to be solved in the present invention is:A kind of active intervention type method for controlling intelligent wheelchair and device are provided, On the basis of intelligent control, supplement actively intervenes means, so as to ensure security.
The present invention is that the technical scheme that solution above-mentioned technical problem is taken is:A kind of active intervention type intelligent wheel chair control Method, it is characterised in that:It comprises the following steps:
Wheelchair has two kinds of control models:Active Control Mode, user is controlled manually by control panel, on control panel Provided with button and control stick;Intelligent control mode, the signal gathered by external environment condition sensor is automatically controlled;
Automatically into intelligent control mode during startup wheelchair;Under intelligent control mode, real-time judge whether there is abnormal feelings Condition, if in the presence of, alarm, prompting user's progress active intervention;
Enter Active Control Mode when user has input signal to control panel;Under Active Control Mode, at one section The amplitude of joystick signal is respectively less than default amplitude threshold in time, then automatically switches to intelligent control mode;
Described abnormal conditions include:1) data and master control mould of signal transmission abnormality, i.e. external environment condition sensor collection Signal transmission between block occurs abnormal;2) external environment condition sensing data is abnormal, i.e. the data of external environment condition sensor collection Distortion, or judge that current environment is excessively complicated according to the data of collection composition;3) wheelchair running status is abnormal, i.e. wheelchair speed Too fast or angle of inclination is excessive.
As stated above, the described specific determination methods of signal transmission abnormality are as follows:
Wireless connection between external environment condition sensor and described main control module;The signal strength values R of wireless connection is inquired about, If R is less than threshold value Rthres1Then judge signal transmission abnormality;If R is in threshold value Rthres1With threshold value Rthres2Between, and in period T The number of times K that this interior situation occurs is more than threshold kthres, then signal transmission abnormality is judged.
As stated above, the extremely specific determination methods of described external environment condition sensing data are as follows:
Described external environment condition sensor includes ultrasonic distance-measuring sensor, infrared distance sensor and camera;Will be super The obstacle distance that sound ranging sensor is gathered with infrared distance sensor compares, when obtained obstacle distance difference is big In default range difference threshold value, then external environment condition sensing data distortion abnormality is judged;When the obstacle distance of collection is excessively near, hinder Hinder thing quantity excessive, then judge that environment is excessively complicated abnormal.
As stated above, under described Active Control Mode, the amplitude of joystick signal is respectively less than pre- within a period of time If amplitude threshold, then automatically switch to intelligent control mode, specific determination methods are as follows:
The analog signal x and y of 2 control directions of control stick are obtained, x and y is calculated respectively and is believed with default respective middle position Number mx and my difference;Judge in the range of certain time, described difference then switches to intelligence in defined threshold range Can control model.
A kind of active intervention type intelligent wheel chair control device, it is characterised in that:It include main control module, and respectively with master Control external environment condition sensor, wheelchair monitoring running state module, control panel, alarm display module, the power supply mould of module connection Block and wheelchair motor;Described control panel is provided with transfer the files button, shift knob and control stick;Described main control module For the active intervention type method for controlling intelligent wheelchair described in perform claim requirement 1.
By said apparatus, described external environment condition sensor is connected by wireless communication module with described main control module.
By said apparatus, described wheelchair monitoring running state module includes velocity measuring module and acceleration transducer.
By said apparatus, described alarm display module includes buzzer and LED display module.
By said apparatus, described power module includes rechargeable battery, and the charging circuit that is linked with rechargeable battery and Mu balanced circuit.
Beneficial effects of the present invention are:On the basis of intelligent control, supplement actively intervenes means, and unusual condition is carried out Automatic decision is alarmed, and reminds user actively to intervene, and manipulates active control module to control wheelchair to run, to avoid the hair of danger It is raw, so as to ensure security.
Brief description of the drawings
Fig. 1 is the structural representation of one embodiment of the invention.
Fig. 2 is the workflow diagram of one embodiment of the invention.
Fig. 3 is the flow chart that active control mode switch is intelligent control mode.
Embodiment
With reference to instantiation and accompanying drawing, the present invention will be further described.
As shown in figure 1, the present invention provides a kind of active intervention type intelligent wheel chair control device, including main control module, and External environment condition sensor, wheelchair monitoring running state module, control panel, the alarm indication mould being connected respectively with main control module Block, power module and wheelchair motor;Described control panel is provided with transfer the files button, shift knob and control stick;It is described Main control module be used for perform following active intervention type method for controlling intelligent wheelchair.External environment condition sensor passes through radio communication mold Block is connected with described main control module.Wheelchair monitoring running state module includes velocity measuring module and acceleration transducer.
Alarm display module includes buzzer and LED display module.Can be by buzzer and LED when there are abnormal conditions To remind user to take care, and LED can show the current gear stages of wheelchair.The power module connects including power supply Mouth, charging circuit, rechargeable battery, 5V mu balanced circuits and 24V mu balanced circuit voltage stabilizings, power supply pass through 5V mu balanced circuits and 24V voltage stabilizings It is powered respectively to microcontroller and motor after circuit voltage stabilizing.The power interface and left and right motor interface are using current electricity The general-purpose interface of wheelchair, to increase the versatility of control device.
It is connected furthermore it is possible to set up general-purpose interface with main control module, is easy to other external control deviceses to access, is can be achieved many The mode of kind makes wheelchair more intelligent the Collaborative Control of wheelchair.
A kind of active intervention type method for controlling intelligent wheelchair, as shown in Fig. 2 it comprises the following steps:
Wheelchair has two kinds of control models:Active Control Mode, user is controlled manually by control panel, on control panel Provided with button and control stick;Intelligent control mode, the signal gathered by external environment condition sensor is automatically controlled;
Automatically into intelligent control mode during startup wheelchair;Under intelligent control mode, real-time judge whether there is abnormal feelings Condition, if in the presence of, alarm, prompting user's progress active intervention;
Enter Active Control Mode when user has input signal to control panel;Under Active Control Mode, at one section The amplitude of joystick signal is respectively less than default amplitude threshold in time, then automatically switches to intelligent control mode;
Described abnormal conditions include:1) data and master control mould of signal transmission abnormality, i.e. external environment condition sensor collection Signal transmission between block occurs abnormal;2) external environment condition sensing data is abnormal, i.e. the data of external environment condition sensor collection Distortion, or judge that current environment is excessively complicated according to the data of collection composition;3) wheelchair running status is abnormal, i.e. wheelchair speed Too fast or angle of inclination is excessive.
External environment condition sensor monitors the ambient conditions around wheelchair in real time, and master control mould is sent to by wireless communication module Block, this situation is analyzed, and is carried out intelligent control to wheelchair if without exception, when there are abnormal conditions, is then sent alarm User is reminded to carry out active intervention.
The premise that radio communication is normally controlled for external environment condition sensor to wheelchair, therefore when radio communication is abnormal When, need user's actively intervention, it is impossible to which wheelchair is controlled by intelligent control mode.The specific determination methods of signal transmission abnormality are such as Under:Wireless connection between external environment condition sensor and described main control module;The signal strength values R of wireless connection is inquired about, if R is small In threshold value Rthres1Then think that wireless communication link is very poor, data transfer easily fails, judge signal transmission abnormality;If R is in threshold value Rthres1With threshold value Rthres2Between, and the number of times K that this situation occurs in period T is more than threshold kthres, then channel radio is shown Believe that link is unstable, data transfer easily produces packet loss, judges signal transmission abnormality.
Described external environment condition sensor includes ultrasonic distance-measuring sensor, infrared distance sensor and camera.For Ultrasonic distance-measuring sensor and infrared distance sensor are easier to be interfered because the absorption of environment is reflected etc., particularly in complicated ring Under border, measurement data reliability itself is substantially reduced, therefore is judged with reference to both measurement data, if ultrasonic ranging is sensed Difference between the obstacle distance of device measurement and the obstacle distance of infrared distance sensor measurement is more than the threshold value set then Think that measurement data exists in itself abnormal.Simultaneously using multi-sensor Fusion Algorithm combination visually-perceptible system conventional at present Measurement data of system, ultrasonic distance-measuring sensor and infrared distance sensor etc. carries out comprehensive descision to wheelchair surrounding environment, knows Whether whether other wheelchair is excessively near apart from barrier, whether there is multiple barriers around wheelchair and have personnel to move equiprobable danger Dangerous situation condition.The extremely specific determination methods of external environment condition sensing data are as follows:Ultrasonic distance-measuring sensor and infrared distance measurement are passed The obstacle distance of sensor collection compares, and when obtained obstacle distance difference is more than default range difference threshold value, then judges External environment condition sensing data distortion abnormality;When the obstacle distance of collection is excessively near, barrier quantity is excessive, then judges environment mistake In complicated abnormal.
Wheelchair speed V is obtained by speed measuring module, if speed V is more than threshold speed Vthres, then it is assumed that wheelchair excessive velocities; Logical acceleration transducer obtains acceleration signal ax, ay, az, calculate the resultant acceleration a of x-axis and y-axishIf, resultant acceleration ahGreatly In resultant acceleration threshold value ahthres, and z-axis acceleration azMore than z-axis acceleration rate threshold azthres, then it is assumed that wheelchair has the danger of overturning Danger;If speed and acceleration are no more than threshold value, then it is assumed that wheelchair running status is normal.Wheelchair excessive velocities or wheelchair may Overturn, think that wheelchair running status is abnormal, it is necessary to user is intervened, active control wheelchair is to avoid the hair of danger It is raw.
Under Active Control Mode, the amplitude of joystick signal is respectively less than default amplitude threshold within a period of time, then certainly Dynamic to switch to intelligent control mode, specific determination methods are as follows:
The analog signal x and y of 2 control directions of control stick are obtained, x and y is calculated respectively and is believed with default respective middle position Number mx and my difference;Judge in the range of certain time, described difference then switches to intelligence in defined threshold range Can control model.
More specifically, as shown in figure 3,1) obtaining the analog signal x and y of wheelchair two control directions of control stick, and respectively Calculate x and y and respective median signal mx and my difference.
2) judge difference whether in defined threshold range, i.e., | x-mx |<xthresAnd | y-my |<ythres, if it is not, then Represent that control stick input signal is larger, therefore counter Count is reset, and external signal control mark is set to false;If It is then expression control stick input signal very little, therefore counter Count is added one.
3) judge whether counter Count exceeds threshold value Cthres, if not, then it is assumed that although joystick signal very little can not Determine if stabilization, therefore will external signal control mark be set to false;If, then it is assumed that joystick signal is at one section Equal very little in time, therefore thus it is believed that control stick controls mark to be set to without signal input, therefore by external signal really True, is controlled by external control signal to wheelchair, while to prevent that counter Count numerical value is excessive, being set to Its threshold value Cthres
The present invention takes the initiative the control mode of intervention, by the initiative of people and the powerful perception control ability of external equipment It is combined, generally wheelchair can obtain the situation around wheelchair by external environment condition sensor, pass through radio communication mold Block realizes the intelligent control of wheelchair, at the same when wireless connection is unstable, wheelchair running status exception and external equipment exist it is blind When area or abnormal perception data, control system may carry out erroneous decision, it is therefore desirable to which user intervenes rapidly, active control The running status of wheelchair, to avoid the generation of danger.External signal control and the combination of active control two ways, can make wheelchair It is more intelligent, allow control of the user to wheelchair more to facilitate, while more improving the security of intelligent wheel chair.
Above example is merely to illustrate the design philosophy and feature of the present invention, and its object is to make technology in the art Personnel can understand present disclosure and implement according to this, and protection scope of the present invention is not limited to above-described embodiment.So, it is all according to The equivalent variations made according to disclosed principle, mentality of designing or modification, within protection scope of the present invention.

Claims (9)

1. a kind of active intervention type method for controlling intelligent wheelchair, it is characterised in that:It comprises the following steps:
Wheelchair has two kinds of control models:Active Control Mode, user is controlled manually by control panel, and control panel is provided with Button and control stick;Intelligent control mode, the signal gathered by external environment condition sensor is automatically controlled;
Automatically into intelligent control mode during startup wheelchair;Under intelligent control mode, real-time judge whether there is abnormal conditions, if In the presence of, then alarm, prompting user's progress active intervention;
Enter Active Control Mode when user has input signal to control panel;Under Active Control Mode, in a period of time The amplitude of interior joystick signal is respectively less than default amplitude threshold, then automatically switches to intelligent control mode;
Described abnormal conditions include:1)Data and the main control module of signal transmission abnormality, i.e. external environment condition sensor collection it Between signal transmission occur it is abnormal;2)External environment condition sensing data is abnormal, i.e. the data distortion of external environment condition sensor collection, Or judge that current environment is excessively complicated according to the data of collection composition;3)Wheelchair running status is abnormal, i.e. wheelchair excessive velocities Or angle of inclination is excessive.
2. active intervention type method for controlling intelligent wheelchair according to claim 1, it is characterised in that:Described signal transmission Abnormal specific determination methods are as follows:
Wireless connection between external environment condition sensor and described main control module;The signal strength values R of wireless connection is inquired about, if R Less than threshold value Rthres1Then judge signal transmission abnormality;If R is in threshold value Rthres1With threshold value Rthres2Between, and in period T this The number of times K that situation occurs is more than threshold kthres, then signal transmission abnormality is judged.
3. active intervention type method for controlling intelligent wheelchair according to claim 1, it is characterised in that:Described external environment condition The extremely specific determination methods of sensing data are as follows:
Described external environment condition sensor includes ultrasonic distance-measuring sensor, infrared distance sensor and camera;By ultrasonic wave The obstacle distance that distance measuring sensor is gathered with infrared distance sensor compares, when obtained obstacle distance difference is more than in advance If range difference threshold value, then judge external environment condition sensing data distortion abnormality;When the obstacle distance of collection is excessively near, barrier Quantity is excessive, then judges that environment is excessively complicated abnormal.
4. active intervention type method for controlling intelligent wheelchair according to claim 1, it is characterised in that:Described active control Under pattern, the amplitude of joystick signal is respectively less than default amplitude threshold within a period of time, then automatically switches to intelligent control Pattern, specific determination methods are as follows:
The analog signal x and y of 2 control directions of control stick are obtained, x and y and default respective median signal mx is calculated respectively With my difference;Judge in the range of certain time, described difference switches to intelligent control in defined threshold range, then Molding formula.
5. a kind of active intervention type intelligent wheel chair control device, it is characterised in that:It include main control module, and respectively with master control External environment condition sensor, wheelchair monitoring running state module, control panel, alarm display module, the power module of module connection With wheelchair motor;Described control panel is provided with transfer the files button, shift knob and control stick;Described main control module is used In the active intervention type method for controlling intelligent wheelchair described in perform claim requirement 1.
6. active intervention type intelligent wheel chair control device according to claim 5, it is characterised in that:Described external environment condition Sensor is connected by wireless communication module with described main control module.
7. active intervention type intelligent wheel chair control device according to claim 5, it is characterised in that:Described wheelchair operation State monitoring module includes velocity measuring module and acceleration transducer.
8. active intervention type intelligent wheel chair control device according to claim 5, it is characterised in that:Described alarm indication Module includes buzzer and LED display module.
9. active intervention type intelligent wheel chair control device according to claim 5, it is characterised in that:Described power module Including rechargeable battery, and the charging circuit and mu balanced circuit linked with rechargeable battery.
CN201710333420.5A 2017-05-12 2017-05-12 A kind of active intervention type method for controlling intelligent wheelchair and device Pending CN107168198A (en)

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Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112451243A (en) * 2020-12-10 2021-03-09 广州暖晴医疗科技有限公司 Wheelchair control system and method
CN113101075A (en) * 2021-03-09 2021-07-13 武汉理工大学 Multifunctional intelligent wheelchair control system and control method
CN117075618A (en) * 2023-10-12 2023-11-17 小舟科技有限公司 Wheelchair automatic control method, device, terminal and medium based on anomaly monitoring

Citations (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102053619A (en) * 2009-11-06 2011-05-11 北京理工大学 Method for switching automatic flight mode and manual remotely-controlled flight mode of miniature unmanned helicopter
CN102188311A (en) * 2010-12-09 2011-09-21 南昌大学 Embedded visual navigation control system and method of intelligent wheelchair
CN103010230A (en) * 2012-12-26 2013-04-03 北京交控科技有限公司 Train unmanned system and method
CN202995348U (en) * 2012-12-25 2013-06-12 安徽理工大学 An intelligent wheelchair controlling system
CN104188773A (en) * 2014-09-24 2014-12-10 张劲南 Split type intelligent wheelchair for the handicapped
CN104586582A (en) * 2014-12-11 2015-05-06 常熟市新冶机械制造有限公司 Electric human body carrier with tracking function
CN105105938A (en) * 2015-07-14 2015-12-02 南京邮电大学 Intelligent wheelchair control method and system based on face orientation identification and tracking
CN105726234A (en) * 2016-04-01 2016-07-06 张学海 Intelligent electrically powered wheelchair and application method
CN105816280A (en) * 2016-05-03 2016-08-03 薄和秋 Intelligent stair climbing wheelchair with effect of automatic distance measurement
CN106200679A (en) * 2016-09-21 2016-12-07 中国人民解放军国防科学技术大学 Single operation person's multiple no-manned plane mixing Active Control Method based on multi-modal natural interaction
CN106256643A (en) * 2015-06-15 2016-12-28 丰田自动车株式会社 Servomechanism and controller of vehicle
CN106667680A (en) * 2016-11-15 2017-05-17 广州视源电子科技股份有限公司 Electrically powered wheelchair and control method thereof

Patent Citations (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102053619A (en) * 2009-11-06 2011-05-11 北京理工大学 Method for switching automatic flight mode and manual remotely-controlled flight mode of miniature unmanned helicopter
CN102188311A (en) * 2010-12-09 2011-09-21 南昌大学 Embedded visual navigation control system and method of intelligent wheelchair
CN202995348U (en) * 2012-12-25 2013-06-12 安徽理工大学 An intelligent wheelchair controlling system
CN103010230A (en) * 2012-12-26 2013-04-03 北京交控科技有限公司 Train unmanned system and method
CN104188773A (en) * 2014-09-24 2014-12-10 张劲南 Split type intelligent wheelchair for the handicapped
CN104586582A (en) * 2014-12-11 2015-05-06 常熟市新冶机械制造有限公司 Electric human body carrier with tracking function
CN106256643A (en) * 2015-06-15 2016-12-28 丰田自动车株式会社 Servomechanism and controller of vehicle
CN105105938A (en) * 2015-07-14 2015-12-02 南京邮电大学 Intelligent wheelchair control method and system based on face orientation identification and tracking
CN105726234A (en) * 2016-04-01 2016-07-06 张学海 Intelligent electrically powered wheelchair and application method
CN105816280A (en) * 2016-05-03 2016-08-03 薄和秋 Intelligent stair climbing wheelchair with effect of automatic distance measurement
CN106200679A (en) * 2016-09-21 2016-12-07 中国人民解放军国防科学技术大学 Single operation person's multiple no-manned plane mixing Active Control Method based on multi-modal natural interaction
CN106667680A (en) * 2016-11-15 2017-05-17 广州视源电子科技股份有限公司 Electrically powered wheelchair and control method thereof

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112451243A (en) * 2020-12-10 2021-03-09 广州暖晴医疗科技有限公司 Wheelchair control system and method
CN113101075A (en) * 2021-03-09 2021-07-13 武汉理工大学 Multifunctional intelligent wheelchair control system and control method
CN117075618A (en) * 2023-10-12 2023-11-17 小舟科技有限公司 Wheelchair automatic control method, device, terminal and medium based on anomaly monitoring
CN117075618B (en) * 2023-10-12 2024-01-05 小舟科技有限公司 Wheelchair automatic control method, device, terminal and medium based on anomaly monitoring

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Application publication date: 20170915