CN116491916B - Remote health monitoring system based on intelligent wheelchair - Google Patents
Remote health monitoring system based on intelligent wheelchair Download PDFInfo
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- 238000012544 monitoring process Methods 0.000 title claims abstract description 190
- 230000036541 health Effects 0.000 title claims abstract description 92
- 238000012545 processing Methods 0.000 claims abstract description 32
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- 230000008569 process Effects 0.000 claims description 28
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- 210000004369 blood Anatomy 0.000 claims description 6
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- 239000001301 oxygen Substances 0.000 claims description 6
- 229910052760 oxygen Inorganic materials 0.000 claims description 6
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- 230000007613 environmental effect Effects 0.000 claims description 4
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- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
- A61B5/0205—Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
- A61B5/02055—Simultaneously evaluating both cardiovascular condition and temperature
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
- A61B5/021—Measuring pressure in heart or blood vessels
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
- A61B5/024—Detecting, measuring or recording pulse rate or heart rate
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
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- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/145—Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue
- A61B5/14542—Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue for measuring blood gases
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- A61B5/6887—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient mounted on external non-worn devices, e.g. non-medical devices
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- A61B5/74—Details of notification to user or communication with user or patient ; user input means
- A61B5/746—Alarms related to a physiological condition, e.g. details of setting alarm thresholds or avoiding false alarms
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- A—HUMAN NECESSITIES
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- A61G—TRANSPORT, PERSONAL CONVEYANCES, OR ACCOMMODATION SPECIALLY ADAPTED FOR PATIENTS OR DISABLED PERSONS; OPERATING TABLES OR CHAIRS; CHAIRS FOR DENTISTRY; FUNERAL DEVICES
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- A—HUMAN NECESSITIES
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- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
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- G—PHYSICS
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- G01G—WEIGHING
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- G01K—MEASURING TEMPERATURE; MEASURING QUANTITY OF HEAT; THERMALLY-SENSITIVE ELEMENTS NOT OTHERWISE PROVIDED FOR
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- G01K13/20—Clinical contact thermometers for use with humans or animals
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- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
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- A61G—TRANSPORT, PERSONAL CONVEYANCES, OR ACCOMMODATION SPECIALLY ADAPTED FOR PATIENTS OR DISABLED PERSONS; OPERATING TABLES OR CHAIRS; CHAIRS FOR DENTISTRY; FUNERAL DEVICES
- A61G2200/00—Information related to the kind of patient or his position
- A61G2200/10—Type of patient
- A61G2200/20—Type of patient with asymmetric abilities, e.g. hemiplegic or missing a limb
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
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- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
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Abstract
The invention discloses a remote health monitoring system based on an intelligent wheelchair, which comprises a personnel information importing module, a mode selecting module, a comprehensive acquisition module, a comprehensive processing module and an information sending module; the personnel information importing module is used for importing personnel state information of a wheelchair occupant, wherein the personnel state information comprises personnel weight information and information of the reason of the wheelchair occupant; the mode selection module is used for selecting a monitoring mode according to the content of the personnel state information; the monitoring mode is generated and then sent to the comprehensive acquisition module, and the comprehensive acquisition module is used for acquiring data according to the selected monitoring mode after receiving the monitoring mode to acquire monitoring data information; the comprehensive processing module is used for processing the comprehensive data to obtain personnel health monitoring warning information and wheelchair health warning information. The invention can realize more comprehensive health monitoring and ensure the health and safety of passengers.
Description
Technical Field
The invention relates to the field of health monitoring, in particular to a remote health monitoring system based on an intelligent wheelchair.
Background
Because of various traffic accidents, natural disasters and diseases, thousands of people lose walking ability each year. Therefore, research into robot wheelchairs for helping handicapped persons walk has gradually become a hot spot, and intelligent wheelchairs are one of them;
the intelligent wheelchair not only can help disabled people and old people with inconvenient actions walk, but also can monitor the health of the disabled people and the old people, and the intelligent wheelchair can be used for a remote health monitoring system in the health monitoring process.
The existing remote health monitoring system has the defects that the monitored human body data are single, so that the problem possibly affecting health cannot be found in time, and certain influence is brought to the remote health monitoring system, and therefore, the remote health monitoring system based on the intelligent wheelchair is provided.
Disclosure of Invention
The technical problems to be solved by the invention are as follows: how to solve the existing remote health monitoring system, the monitored human body data is single, so that the problem that health can be influenced can not be found in time, and the problem of certain influence on the remote health monitoring system is solved.
The invention solves the technical problems through the following technical scheme that the invention comprises a personnel information importing module, a mode selecting module, a comprehensive collecting module, a comprehensive processing module and an information sending module;
the personnel information importing module is used for importing personnel state information of a wheelchair occupant, wherein the personnel state information comprises personnel weight information and information of the reason of the wheelchair occupant;
the mode selection module is used for selecting a monitoring mode according to the content of the personnel state information;
the monitoring mode is generated and then sent to a comprehensive acquisition module, and the comprehensive acquisition module is used for acquiring data according to the selected monitoring mode after receiving and selecting the monitoring mode to acquire monitoring data information;
the comprehensive processing module is used for processing the comprehensive data to obtain personnel health monitoring warning information and wheelchair health warning information;
the information sending module is used for sending personnel health monitoring warning information, health assessment warning information, wheelchair adjustment warning and wheelchair health warning information to a preset receiving terminal;
the comprehensive acquisition module comprises a human body information acquisition unit, a load information acquisition unit, a backrest information acquisition unit, a mobile information acquisition unit, a wheelchair information acquisition unit and a positioning information acquisition unit;
the wheelchair positioning system comprises a wheelchair information acquisition unit, a wheelchair information acquisition unit and a positioning information acquisition unit, wherein the human information acquisition unit is used for acquiring human body information, the loading information acquisition unit is used for acquiring wheelchair loading information, the backrest information acquisition unit is used for acquiring wheelchair backrest stress information, the mobile information acquisition unit is used for acquiring wheelchair mobile information, the wheelchair information acquisition unit is used for acquiring wheelchair hardware information, and the positioning information acquisition unit is used for acquiring wheelchair positioning information.
The monitoring modes comprise a first monitoring mode, a second monitoring mode and a third monitoring mode;
the human body information acquisition unit is used for acquiring different types of human body information in a first monitoring mode, a second monitoring mode and a third monitoring mode;
the specific selection process of the first monitoring mode, the second monitoring mode and the third monitoring mode is as follows: the acquired wheelchair-taking cause information is extracted, wherein the wheelchair-taking cause information comprises lower limb paralysis, fracture at a preset position and mobility impairment personnel, the wheelchair-taking cause information is selected to be a first monitoring mode when the lower limb paralysis is taken, the wheelchair-taking cause information is fracture at the preset position, the wheelchair-taking cause information is selected to be a second monitoring mode, and the wheelchair-taking cause information is selected to be mobility impairment personnel, the wheelchair-taking cause information is selected to be a third monitoring mode.
The human body information acquired by the human body information acquisition unit in the first monitoring mode comprises foot temperature information, lower leg temperature information, thigh temperature information and basic state information;
the basic state information comprises heart rate information, blood pressure information and blood oxygen information;
the human body information acquired by the human body information acquisition unit in the second monitoring mode comprises stress information of a preset part, temperature information of the preset part and basic state information;
the human body information collected by the human body information collection unit in the third monitoring mode comprises basic state information and environmental smell information.
The specific process of the personnel health monitoring warning information generated in the first monitoring mode, the second monitoring mode and the third monitoring mode is as follows:
first monitoring mode: extracting human body information acquired in a first monitoring mode, namely foot temperature information, lower leg temperature information, thigh temperature information and basic state information, generating personnel health monitoring warning information when any one of the foot temperature information, lower leg temperature information and thigh temperature information exceeds a preset range, and generating personnel health monitoring warning information when any one of heart rate information, blood pressure information and blood oxygen information in the basic state information exceeds the preset range, namely indicating that the basic state information is abnormal, and generating the personnel health monitoring warning information at the moment;
second monitoring mode: the human body information acquired in the second monitoring mode, namely stress information of the preset part, temperature information of the preset part and basic state information, is extracted, when the stress information of the preset part is larger than a preset warning value or the temperature information of the preset part exceeds a preset range, the preset time length is exceeded, namely, personnel health monitoring warning information is generated, the judging process of the basic state information abnormality in the second monitoring mode is the same as that of the first monitoring mode, and when the basic state information in the second monitoring mode is abnormal, personnel health monitoring warning information is also generated;
third monitoring mode: and extracting human body information acquired in a third monitoring mode, namely, environment smell information and basic state information, when the preset type of gas data in the environment smell information is larger than a preset warning value for longer than a preset period of time, generating personnel health monitoring warning information, wherein the judging process of the abnormal basic state information in the third monitoring mode is the same as that of the first monitoring mode, and when the basic state information in the third monitoring mode is abnormal, the personnel health monitoring warning information is also generated.
Further, the specific processing procedure of the health evaluation warning information is as follows: the method comprises the steps of extracting collected load information, wherein the load information is real-time weight information of wheelchair-taking personnel, extracting imported personnel weight information at the moment, marking the personnel weight information as G, marking the real-time weight information as Gg, recording the real-time weight information Gg of wheelchair-taking personnel every 24 hours, continuously collecting at least x times, wherein x is more than or equal to 10, processing Gg1 to Ggx and the personnel weight information G to obtain evaluation parameters, and generating health evaluation warning information when the evaluation parameters are larger than preset values.
Further, the acquiring process of the evaluation parameter is as follows: then sequentially calculating the difference between Gg1 to Ggx and the weight information G of the person to obtain x weight differences GH, then introducing a standard floating range, extracting the quantity information of the x weight differences GH which are not in the standard floating range, namely obtaining an evaluation parameter, and generating health evaluation warning information when the evaluation parameter is larger than a preset value;
the standard floating range is a weight change standard calculated after the information is imported to the cloud computing center according to the actual physical state of the passengers.
The wheelchair adjustment information is further specifically processed by extracting the acquired wheelchair backrest stress information, and generating the wheelchair adjustment information when the wheelchair backrest stress information is always smaller than a preset value after a passenger takes the wheelchair.
Further, the specific processing process of the wheelchair health warning information is as follows: the method comprises the steps of extracting collected wheelchair hardware information, wherein the wheelchair hardware information comprises wheelchair battery life information, wheelchair service time length and wheelchair maintenance frequency information, and when the battery life information is smaller than a preset value or the wheelchair service time length is larger than the preset value but the wheelchair maintenance frequency information is smaller than the preset value, wheelchair health warning information is generated.
The comprehensive processing module is further used for processing the wheelchair positioning information to generate positioning warning information, and the specific processing process of the positioning warning information is as follows: and when the wheelchair positioning information does not exceed the preset duration in the wheelchair action warning range, the positioning warning information is generated.
Compared with the prior art, the invention has the following advantages: this remote health monitoring system based on intelligent wheelchair, know the personnel's who takes the wheelchair reason of taking through personnel status information, and set up different monitoring modes according to taking the reason, first monitoring mode promptly, second monitoring mode and third monitoring mode, different monitoring modes can let this system can the degree of accuracy carry out the health monitoring of different grade type personnel, in time discover the problem and send warning information and warn, thereby better assurance personnel's safety, simultaneously through the monitoring of carrying out the change of personnel's human information for a long time, in time discover personnel's health anomaly, send out the warning, thereby further assurance personnel's health, and carried out status monitoring to wheelchair itself, the real-time structure health state of knowing the wheelchair, avoid leading to personnel secondary injury because of wheelchair reason, let this system be worth more widely used.
Drawings
Fig. 1 is a system block diagram of the present invention.
Detailed Description
The following describes in detail the examples of the present invention, which are implemented on the premise of the technical solution of the present invention, and detailed embodiments and specific operation procedures are given, but the scope of protection of the present invention is not limited to the following examples.
As shown in fig. 1, this embodiment provides a technical solution: the remote health monitoring system based on the intelligent wheelchair comprises a personnel information importing module, a mode selecting module, a comprehensive collecting module, a comprehensive processing module and an information sending module;
the personnel information importing module is used for importing personnel state information of a wheelchair occupant, wherein the personnel state information comprises personnel weight information and information of the reason of the wheelchair occupant;
the mode selection module is used for selecting a monitoring mode according to the content of the personnel state information;
the monitoring mode is generated and then sent to a comprehensive acquisition module, and the comprehensive acquisition module is used for acquiring data according to the selected monitoring mode after receiving and selecting the monitoring mode to acquire monitoring data information;
the comprehensive processing module is used for processing the comprehensive data to obtain personnel health monitoring warning information and wheelchair health warning information;
the information sending module is used for sending personnel health monitoring warning information, health assessment warning information, wheelchair adjustment warning and wheelchair health warning information to a preset receiving terminal;
the comprehensive acquisition module comprises a human body information acquisition unit, a load information acquisition unit, a backrest information acquisition unit, a mobile information acquisition unit, a wheelchair information acquisition unit and a positioning information acquisition unit;
the wheelchair positioning system comprises a wheelchair information acquisition unit, a wheelchair information acquisition unit and a positioning information acquisition unit, wherein the human information acquisition unit is used for acquiring human body information, the loading information acquisition unit is used for acquiring wheelchair loading information, the backrest information acquisition unit is used for acquiring wheelchair backrest stress information, the mobile information acquisition unit is used for acquiring wheelchair mobile information, the wheelchair information acquisition unit is used for acquiring wheelchair hardware information, and the positioning information acquisition unit is used for acquiring wheelchair positioning information.
The monitoring modes comprise a first monitoring mode, a second monitoring mode and a third monitoring mode;
the human body information acquisition unit is used for acquiring different types of human body information in a first monitoring mode, a second monitoring mode and a third monitoring mode;
the specific selection process of the first monitoring mode, the second monitoring mode and the third monitoring mode is as follows: the acquired wheelchair-taking cause information is extracted, wherein the wheelchair-taking cause information comprises lower limb paralysis, fracture at a preset position and mobility impairment personnel, the wheelchair-taking cause information is selected to be a first monitoring mode when the lower limb paralysis is taken, the wheelchair-taking cause information is fracture at the preset position, the wheelchair-taking cause information is selected to be a second monitoring mode, and the wheelchair-taking cause information is selected to be mobility impairment personnel, the wheelchair-taking cause information is selected to be a third monitoring mode;
according to the invention, the riding cause of the person riding the wheelchair is known through the personnel state information, different monitoring modes are set according to the riding cause, namely, the first monitoring mode, the second monitoring mode and the third monitoring mode, and the different monitoring modes can enable the system to monitor the health of different types of passengers more accurately, timely find problems and send out warning information to warn, so that the safety of the passengers is better ensured, meanwhile, the physical abnormality of the passengers is timely found through monitoring the change of the human body information of the passengers for a long time, and the warning is sent out, so that the health of the passengers is further ensured, the state of the wheelchair is monitored, the structural health state of the wheelchair is known in real time, secondary injury of the passengers due to the wheelchair cause is avoided, and the system is more worthy of popularization and use.
The human body information acquired by the human body information acquisition unit in the first monitoring mode comprises foot temperature information, lower leg temperature information, thigh temperature information and basic state information;
the basic state information comprises heart rate information, blood pressure information and blood oxygen information;
the human body information acquired by the human body information acquisition unit in the second monitoring mode comprises stress information of a preset part, temperature information of the preset part and basic state information;
the human body information acquired by the human body information acquisition unit in the third monitoring mode comprises basic state information and environmental smell information;
through the process, the human body information acquisition of different types under different modes is realized, so that the health analysis of the passengers is more accurately carried out.
The specific process of the personnel health monitoring warning information generated in the first monitoring mode, the second monitoring mode and the third monitoring mode is as follows:
first monitoring mode: extracting human body information acquired in a first monitoring mode, namely foot temperature information, lower leg temperature information, thigh temperature information and basic state information, generating personnel health monitoring warning information when any one of the foot temperature information, lower leg temperature information and thigh temperature information exceeds a preset range, and generating personnel health monitoring warning information when any one of heart rate information, blood pressure information and blood oxygen information in the basic state information exceeds the preset range, namely indicating that the basic state information is abnormal, and generating the personnel health monitoring warning information at the moment;
the first monitoring mode is a monitoring mode for a lower limb paralysis passenger, the legs of the lower limb paralysis passenger are generally unconscious, so that the body temperature monitoring of the legs is very important, and meanwhile, the lower limb paralysis passenger is subdivided into the setting of foot temperature information, lower leg temperature information and thigh temperature information, so that more comprehensive monitoring is realized, and the safety of the lower limb paralysis passenger is ensured;
second monitoring mode: the human body information acquired in the second monitoring mode, namely stress information of the preset part, temperature information of the preset part and basic state information, is extracted, when the stress information of the preset part is larger than a preset warning value or the temperature information of the preset part exceeds a preset range, the preset time length is exceeded, namely, personnel health monitoring warning information is generated, the judging process of the basic state information abnormality in the second monitoring mode is the same as that of the first monitoring mode, and when the basic state information in the second monitoring mode is abnormal, personnel health monitoring warning information is also generated;
the second monitoring mode is a mode for monitoring a passenger with fractured legs, and accurate monitoring is realized by monitoring the temperature of a preset position, namely the fracture position, so that the safety of the passenger is better ensured;
third monitoring mode: extracting human body information acquired in a third monitoring mode, namely environment smell information and basic state information, generating personnel health monitoring warning information when the preset type of gas data in the environment smell information is larger than a preset warning value for longer than a preset time period, wherein the judging process of the basic state information abnormality in the third monitoring mode is the same as that of the first monitoring mode, and generating personnel health monitoring warning information when the basic state information in the third monitoring mode is abnormal;
the third monitoring mode is a monitoring mode for aged people who are inconvenient to move by the passengers, and monitors the environmental odor information, so that the passengers can know whether the conditions such as urination and defecation incontinence occur or not, and the safety of the passengers can be better ensured.
The specific processing process of the health evaluation warning information is as follows: the method comprises the steps of extracting collected load information, wherein the load information is real-time weight information of wheelchair-taking personnel, extracting imported personnel weight information at the moment, marking the personnel weight information as G, marking the real-time weight information as Gg, recording the real-time weight information Gg of wheelchair-taking personnel every 24 hours, continuously collecting at least x times, wherein x is more than or equal to 10, processing Gg1 to Ggx and the personnel weight information G to obtain evaluation parameters, and generating health evaluation warning information when the evaluation parameters are larger than a preset value, wherein the acquisition process of the evaluation parameters is as follows: then sequentially calculating the difference between Gg1 to Ggx and the weight information G of the person to obtain x weight differences GH, then introducing a standard floating range, extracting the quantity information of the x weight differences GH which are not in the standard floating range, namely obtaining an evaluation parameter, and generating health evaluation warning information when the evaluation parameter is larger than a preset value;
the standard floating range is a weight change standard calculated after the information is imported to the cloud computing center according to the actual physical state of the passengers;
through the process, the weight change of the passengers is monitored, and the passengers possibly have health problems when the weight change is too large in a short time, so that the passengers can timely send out warning, and the health of the passengers is guaranteed.
The specific processing process of the wheelchair adjustment information is as follows, the acquired wheelchair backrest stress information is extracted, and when the wheelchair backrest stress information is always smaller than a preset value after a passenger takes the wheelchair, the wheelchair adjustment information is generated. Timely generating wheelchair adjustment information and adjusting the angle of the backrest of the wheelchair, the back of the occupant can be stably supported, and the health state of the occupant is better maintained.
The specific processing process of the wheelchair health warning information is as follows: the method comprises the steps of extracting collected wheelchair hardware information, wherein the wheelchair hardware information comprises wheelchair battery life information, wheelchair service time length and wheelchair maintenance frequency information, and when the battery life information is smaller than a preset value or the wheelchair service time length is larger than the preset value but the wheelchair maintenance frequency information is smaller than the preset value, wheelchair health warning information is generated, the comprehensive processing module is further used for processing wheelchair positioning information to generate positioning warning information, and the specific processing process of the positioning warning information is as follows: the wheelchair movement warning range preset by a user, and when the wheelchair positioning information is not in the wheelchair movement warning range and exceeds the preset duration, positioning warning information is generated;
through the process, the wheelchair state and the position of the passengers are monitored, so that the system realizes more comprehensive monitoring, and the health and safety of the passengers are better ensured.
Furthermore, the terms "first," "second," and the like, are used for descriptive purposes only and are not to be construed as indicating or implying a relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defining "a first" or "a second" may explicitly or implicitly include at least one such feature. In the description of the present invention, the meaning of "plurality" means at least two, for example, two, three, etc., unless specifically defined otherwise.
In the description of the present specification, a description referring to terms "one embodiment," "some embodiments," "examples," "specific examples," or "some examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present invention. In this specification, schematic representations of the above terms are not necessarily directed to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Furthermore, the different embodiments or examples described in this specification and the features of the different embodiments or examples may be combined and combined by those skilled in the art without contradiction.
While embodiments of the present invention have been shown and described above, it will be understood that the above embodiments are illustrative and not to be construed as limiting the invention, and that variations, modifications, alternatives and variations may be made to the above embodiments by one of ordinary skill in the art within the scope of the invention.
Claims (6)
1. The remote health monitoring system based on the intelligent wheelchair is characterized by comprising a personnel information importing module, a mode selecting module, a comprehensive collecting module, a comprehensive processing module and an information sending module;
the personnel information importing module is used for importing personnel state information of a wheelchair occupant, wherein the personnel state information comprises personnel weight information and information of the reason of the wheelchair occupant;
the mode selection module is used for selecting a monitoring mode according to the content of the personnel state information;
the monitoring mode is generated and then sent to the comprehensive acquisition module, and the comprehensive acquisition module is used for acquiring data according to the selected monitoring mode after receiving the monitoring mode to acquire monitoring data information;
the comprehensive processing module is used for processing the comprehensive data to obtain personnel health monitoring warning information and wheelchair health warning information;
the information sending module is used for sending personnel health monitoring warning information, health assessment warning information, wheelchair adjustment warning and wheelchair health warning information to a preset receiving terminal;
the comprehensive acquisition module comprises a human body information acquisition unit, a load information acquisition unit, a backrest information acquisition unit, a mobile information acquisition unit, a wheelchair information acquisition unit and a positioning information acquisition unit;
the wheelchair positioning system comprises a human body information acquisition unit, a load information acquisition unit, a backrest information acquisition unit, a wheelchair hardware information acquisition unit and a positioning information acquisition unit, wherein the human body information acquisition unit is used for acquiring human body information, the load information acquisition unit is used for acquiring wheelchair load information, the backrest information acquisition unit is used for acquiring wheelchair backrest stress information, the wheelchair information acquisition unit is used for acquiring wheelchair hardware information, and the positioning information acquisition unit is used for acquiring wheelchair positioning information;
the monitoring modes comprise a first monitoring mode, a second monitoring mode and a third monitoring mode;
the human body information acquisition unit is used for acquiring different types of human body information in a first monitoring mode, a second monitoring mode and a third monitoring mode;
the specific selection process of the first monitoring mode, the second monitoring mode and the third monitoring mode is as follows: the acquired wheelchair-taking cause information is extracted, wherein the wheelchair-taking cause information comprises lower limb paralysis, fracture at a preset position and mobility impairment personnel, the wheelchair-taking cause information is selected to be a first monitoring mode when the lower limb paralysis is taken, the wheelchair-taking cause information is fracture at the preset position, the wheelchair-taking cause information is selected to be a second monitoring mode, and the wheelchair-taking cause information is selected to be mobility impairment personnel, the wheelchair-taking cause information is selected to be a third monitoring mode;
the human body information acquired by the human body information acquisition unit in the first monitoring mode comprises foot temperature information, lower leg temperature information, thigh temperature information and basic state information;
the basic state information comprises heart rate information, blood pressure information and blood oxygen information;
the human body information acquired by the human body information acquisition unit in the second monitoring mode comprises stress information of a preset part, temperature information of the preset part and basic state information;
the human body information acquired by the human body information acquisition unit in the third monitoring mode comprises basic state information and environmental smell information;
the specific process of the personnel health monitoring warning information generated in the first monitoring mode, the second monitoring mode and the third monitoring mode is as follows:
first monitoring mode: extracting human body information acquired in a first monitoring mode, namely foot temperature information, lower leg temperature information, thigh temperature information and basic state information, generating personnel health monitoring warning information when any one of the foot temperature information, lower leg temperature information and thigh temperature information exceeds a preset range, and generating personnel health monitoring warning information when any one of heart rate information, blood pressure information and blood oxygen information in the basic state information exceeds the preset range, namely indicating that the basic state information is abnormal, and generating the personnel health monitoring warning information at the moment;
second monitoring mode: the human body information acquired in the second monitoring mode, namely stress information of the preset part, temperature information of the preset part and basic state information, is extracted, when the stress information of the preset part is larger than a preset warning value or the temperature information of the preset part exceeds a preset range, the preset time length is exceeded, namely, personnel health monitoring warning information is generated, the judging process of the basic state information abnormality in the second monitoring mode is the same as that of the first monitoring mode, and when the basic state information in the second monitoring mode is abnormal, personnel health monitoring warning information is also generated;
third monitoring mode: and extracting human body information acquired in a third monitoring mode, namely, environment smell information and basic state information, when the preset type of gas data in the environment smell information is larger than a preset warning value for longer than a preset period of time, generating personnel health monitoring warning information, wherein the judging process of the abnormal basic state information in the third monitoring mode is the same as that of the first monitoring mode, and when the basic state information in the third monitoring mode is abnormal, the personnel health monitoring warning information is also generated.
2. The intelligent wheelchair-based remote health monitoring system of claim 1, wherein: the specific processing process of the health evaluation warning information is as follows: the method comprises the steps of extracting collected load information, wherein the load information is real-time weight information of wheelchair-taking personnel, extracting imported personnel weight information at the moment, marking the personnel weight information as G, marking the real-time weight information as Gg, recording the real-time weight information Gg of wheelchair-taking personnel every 24 hours, continuously collecting at least x times, wherein x is more than or equal to 10, processing Gg1 to Ggx and the personnel weight information G to obtain evaluation parameters, and generating health evaluation warning information when the evaluation parameters are larger than preset values.
3. A remote health monitoring system based on intelligent wheelchairs according to claim 2, characterized in that: the acquisition process of the evaluation parameters is as follows: then sequentially calculating the difference between Gg1 to Ggx and the weight information G of the person to obtain x weight differences GH, then introducing a standard floating range, extracting the quantity information of the x weight differences GH which are not in the standard floating range, namely obtaining an evaluation parameter, and generating health evaluation warning information when the evaluation parameter is larger than a preset value;
the standard floating range is a weight change standard calculated after the information is imported to the cloud computing center according to the actual physical state of the passengers.
4. The intelligent wheelchair-based remote health monitoring system of claim 1, wherein: the specific processing process of the wheelchair adjustment information is as follows, the acquired wheelchair backrest stress information is extracted, and when the wheelchair backrest stress information is always smaller than a preset value after a passenger takes the wheelchair, the wheelchair adjustment information is generated.
5. The intelligent wheelchair-based remote health monitoring system of claim 1, wherein: the specific processing process of the wheelchair health warning information is as follows: the method comprises the steps of extracting collected wheelchair hardware information, wherein the wheelchair hardware information comprises wheelchair battery life information, wheelchair service time length and wheelchair maintenance frequency information, and when the battery life information is smaller than a preset value or the wheelchair service time length is larger than the preset value but the wheelchair maintenance frequency information is smaller than the preset value, wheelchair health warning information is generated.
6. The intelligent wheelchair-based remote health monitoring system of claim 1, wherein: the comprehensive processing module is also used for processing the wheelchair positioning information to generate positioning warning information, and the specific processing process of the positioning warning information is as follows: and when the wheelchair positioning information does not exceed the preset duration in the wheelchair action warning range, the positioning warning information is generated.
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