CN105943273A - Cloud computing system - Google Patents
Cloud computing system Download PDFInfo
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- CN105943273A CN105943273A CN201610351290.3A CN201610351290A CN105943273A CN 105943273 A CN105943273 A CN 105943273A CN 201610351290 A CN201610351290 A CN 201610351290A CN 105943273 A CN105943273 A CN 105943273A
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61G—TRANSPORT, PERSONAL CONVEYANCES, OR ACCOMMODATION SPECIALLY ADAPTED FOR PATIENTS OR DISABLED PERSONS; OPERATING TABLES OR CHAIRS; CHAIRS FOR DENTISTRY; FUNERAL DEVICES
- A61G7/00—Beds specially adapted for nursing; Devices for lifting patients or disabled persons
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61G—TRANSPORT, PERSONAL CONVEYANCES, OR ACCOMMODATION SPECIALLY ADAPTED FOR PATIENTS OR DISABLED PERSONS; OPERATING TABLES OR CHAIRS; CHAIRS FOR DENTISTRY; FUNERAL DEVICES
- A61G7/00—Beds specially adapted for nursing; Devices for lifting patients or disabled persons
- A61G7/05—Parts, details or accessories of beds
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/22—Matching criteria, e.g. proximity measures
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J7/00—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries
- H02J7/34—Parallel operation in networks using both storage and other dc sources, e.g. providing buffering
- H02J7/35—Parallel operation in networks using both storage and other dc sources, e.g. providing buffering with light sensitive cells
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61G—TRANSPORT, PERSONAL CONVEYANCES, OR ACCOMMODATION SPECIALLY ADAPTED FOR PATIENTS OR DISABLED PERSONS; OPERATING TABLES OR CHAIRS; CHAIRS FOR DENTISTRY; FUNERAL DEVICES
- A61G2203/00—General characteristics of devices
- A61G2203/70—General characteristics of devices with special adaptations, e.g. for safety or comfort
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61G—TRANSPORT, PERSONAL CONVEYANCES, OR ACCOMMODATION SPECIALLY ADAPTED FOR PATIENTS OR DISABLED PERSONS; OPERATING TABLES OR CHAIRS; CHAIRS FOR DENTISTRY; FUNERAL DEVICES
- A61G2203/00—General characteristics of devices
- A61G2203/70—General characteristics of devices with special adaptations, e.g. for safety or comfort
- A61G2203/72—General characteristics of devices with special adaptations, e.g. for safety or comfort for collision prevention
- A61G2203/723—Impact absorbing means, e.g. bumpers or airbags
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- Theoretical Computer Science (AREA)
- Life Sciences & Earth Sciences (AREA)
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- Data Mining & Analysis (AREA)
- General Health & Medical Sciences (AREA)
- Animal Behavior & Ethology (AREA)
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- Artificial Intelligence (AREA)
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- Evolutionary Biology (AREA)
- Bioinformatics & Computational Biology (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Power Engineering (AREA)
- Human Computer Interaction (AREA)
- Multimedia (AREA)
- Measuring And Recording Apparatus For Diagnosis (AREA)
- Invalid Beds And Related Equipment (AREA)
Abstract
The invention relates to a cloud computing system. The cloud computing system comprises a platform with a cloud base station as support. The platform comprises ultrasonic detection equipment, CCD sensing equipment, target identification equipment, spring equipment and MSP430 single chip microcomputer. The MSP430 single chip microcomputer is connected with the ultrasonic detection equipment, the CCD sensing equipment, the target identification equipment and the spring equipment. The target identification equipment is connected with the CCD sensing equipment and used for determining whether the side surface of a patient's bed has a human body based on a high definition side elevation image shot by the CCD sensing equipment. The MSP430 single chip microcomputer is used for controlling the spring equipment based on the target identification equipment and the ultrasonic detection equipment.By means of the invention, greater convenience is provided.
Description
Technical field
The present invention relates to hospital equipment field, particularly relate to a kind of cloud computing system.
Background technology
Generally, patient is can to have a rest or receive treatment the most safely, is on the one hand
Because having medical personnel incessantly to carry out medical and nursing work, or have families of patients and look after for a long time,
Even if at night, it is also possible to arrange special nursing staff to retain one's original salary to patient and nurse, shorten
The unmanned nurse time of patient, on the other hand also in that some patients still have certain action energy
Power, to oneself having carried out self-specification, reduces the probability fallen from the bed.But, medical personnel,
Families of patients or even the nursing staff retained one's original salary are artificial nurse after all, oneself also have a meal, have a rest time
Between, it is impossible to carrying out patient uninterruptedly, the nurse of 24 hours, therefore, patient still exists certain
The unmanned nurse time, meanwhile, also having some patients is to completely lose ability to act, for these patients,
It is likely to stand up the generation resulting in pendant bed event the most unintentionally.
In order to avoid patient falls the generation of an event, in prior art, hospital management side also takes very
The most positive measure, such as, transforms sick bed bed body, increases the height of guardrail, and in disease
In bed bed body, some geofence equipment and emergence call equipments are set, fall the possibility of bed reducing patient
Property, providing the pendant triggering device that bed is reported to the police for patient, these improved sick bed equipment are to a certain degree
On decrease patient and fall the generation of an event.Meanwhile, hospital management side also takes some measures, example
As increased the interaction with families of patients and communication, to reduce the time of the unmanned nurse of patient.
But, it is excessively simple that these hospital bed structural reforms existing make mechanism, owing to patient falls between bed continues
Every the ofest short duration, above-mentioned detection and warning device accuracy of detection is the highest, detection efficiency is low, guardrail is high
The increase of degree and the increase of nurse time can only reduce patient and fall the probability of bed, and cannot be avoided pendant bed
Event occurs, and most importantly, lacks the fast reaction measure that patient falls an event in prior art
With fast reaction equipment, it is impossible to an event that falls patient carries out fast reaction, it is impossible in time to patient's body
Body quickly supports, and causes the ill effect that patient cannot be avoided to fall bed.
Accordingly, it would be desirable to the technical scheme of a kind of new sick bed structure design, it is possible to examine accurately and efficiently
Measure the pendant bed event of patient, it is possible to quickly report to the police, additionally it is possible to use some emergency reaction equipment
Patient is given first aid to.
Summary of the invention
In order to solve the problems referred to above, the invention provides a kind of cloud computing system, existing by transformation
Hospital bed bed body, introduces weight detection equipment, image detection in existing hospital bed bed body
Equipment and ray detector fall an event and accurately judge patient, introduce some sources of early warning
Report to the police accordingly, it addition, also introduce the urgent rescue equipment patient to falling targetedly
Health effectively supports.
According to an aspect of the present invention, it is provided that a kind of cloud computing system, described platform includes ultrasound wave
Detecting devices, CCD sensing equipment, target identification equipment, spring equipment and MSP430 single-chip microcomputer,
MSP430 single-chip microcomputer respectively with ultrasonic listening equipment, CCD sensing equipment, target identification equipment and
Spring equipment connects, and target identification equipment is connected with CCD sensing equipment, for sensing based on CCD
The high definition side image of equipment shooting judges whether ward bed side exists human body, and MSP430 single-chip microcomputer is used
Spring equipment is controlled in testing result based on target identification equipment and ultrasonic listening equipment.
More specifically, in described cloud computing system, including: ultrasonic listening equipment, it is positioned at sick bed
The side of bed board, for detecting whether the object side process from sick bed bed board, and is being detected with
Object through out-of-date from the side of sick bed bed board, send object and skims over signal；Wireless Telecom Equipment, with
MSP430 single-chip microcomputer connects, including wireless receiving subset and wireless transmission subset, for connecing
Receiving fall triggering signal or fall early warning signal time will be fallen triggering signal by wireless communication link
Or the early warning signal that falls is sent to the cloud base station of far-end and carries out data process；Display device, with MSP430
Single-chip microcomputer connects, for display and triggering signal or the corresponding Word message of the early warning signal that falls of falling；
Solar energy detection equipment, detects current solar energy intensity in real time；Power supply unit, including the sun
Energy power supply device, accumulator, switching switch and electric pressure converter, switching switch is examined with solar energy respectively
Measurement equipment, solar powered device and accumulator connect, when the dump energy of accumulator is not enough and current
Solar energy intensity optionally greater than preset strength time, be switched to solar powered device to be supplied by solar energy
Electrical part is powered, and electric pressure converter is connected with switching switch, with by the 5V by switching switch input
Voltage is converted to 3.3V voltage, and the most solar powered device solar energy electric supplier part includes solar energy
Volt plate；Wireless charging device, is connected, when accumulator with solar energy detection equipment and accumulator respectively
When not enough the and current solar energy intensity of dump energy is less than preset strength, with neighbouring wireless charging eventually
End is set up and is connected to start wireless charging operation, and wireless charging device is also connected with electric pressure converter with reality
Existing voltage conversion；CCD sensing equipment, is positioned at the side of sick bed bed board, and ward bed side is with level dorsad
Shooting direction shoots to obtain high definition side image；Gray processing processing equipment, with CCD sensing equipment
Connect, be used for receiving high definition side image, and high definition side image performed gray processing process, to obtain
Obtain gray level image；Contrast strengthens equipment, is connected with gray processing processing equipment, is used for receiving gray scale
Change image, and gray level image is carried out contrast enhancement processing, to obtain the first enhancing image；Chi
Degree conversion enhancing equipment, strengthens equipment with contrast and is connected, for receiving the first enhancing image and right
First strengthens image carries out change of scale enhancement process, to obtain the second enhancing image；Edge enhancing sets
Standby, strengthen equipment with change of scale and be connected, for receiving the second enhancing image, and strengthen figure to second
As carrying out edge enhancement process, to obtain the 3rd enhancing image；Image compares equipment, respectively with edge
Enhancing equipment, Haar wavelet filtering equipment, Daubechies wavelet filtering equipment and the filter of self adaptation recurrence
Wave device connects, and when strengthening equipment from edge and receiving the 3rd enhancing image, first starts Haar small echo
Filter apparatus strengthens image and is filtered processing to obtain the first filtering image the 3rd, determines the first filter
Mean square error between ripple image and the 3rd enhancing image is using as the first mean square error, when first is mean square
Error is less than or equal to when presetting square mean error amount, and the first filtering image is defeated as target filtering image
Go out, when the first mean square error is more than when presetting square mean error amount, starts Daubechies wavelet filtering and set
The standby image that strengthens the 3rd is filtered processing to obtain the second filtering image, determines the second filtering image
With the 3rd strengthen the mean square error between image using as the second mean square error, when the second mean square error is little
In equal to when presetting square mean error amount, the second filtering image is exported as target filtering image, when the
Two mean square errors, more than when presetting square mean error amount, continue to start self adaptation recursive filtering equipment to the 3rd
Strengthen image to be filtered processing to obtain the 3rd filtering image, determine the 3rd filtering image and the 3rd increasing
Mean square error between strong image is using as the 3rd mean square error, when the 3rd mean square error is less than or equal to pre-
If during square mean error amount, the 3rd filtering image is exported as target filtering image, when the 3rd mean square error
Difference more than when presetting square mean error amount, determines that the second filtering image and the 3rd strengthens between image mean square
Error, using as the second mean square error, selects the first mean square error, the second mean square error and the 3rd mean square
The filtering image corresponding to mean square error that in error, numerical value is minimum exports as target filtering image, with
Rear closedown Haar wavelet filtering equipment, Daubechies wavelet filtering equipment and self adaptation recursive filtering set
Standby；Haar wavelet filtering equipment, uses based on 2 rank Haar wavelet basiss for strengthening image to the 3rd
Wavelet filtering process, to obtain the first filtering image；Daubechies wavelet filtering equipment, is used for
Strengthening image to the 3rd uses wavelet filterings based on 2 rank Daubechies wavelet basiss to process, to obtain
Second filtering image；Self adaptation recursive filtering equipment, performs self adaptation filter for strengthening image to the 3rd
Ripple processes, to obtain the 3rd filtering image；Binary conversion treatment equipment, compare with image respectively equipment and
Static storage device connects, and is divided with black and white threshold value by the gray value of each pixel of target filtering image
Do not compare, when the gray value of pixel is more than black and white threshold value, pixel is designated as white pixel, works as pixel
Gray value less than black and white threshold value time, pixel is designated as black picture element, thus obtains binary image；
Object detection apparatus, is connected with binary conversion treatment equipment and static storage device respectively, for two-value
Change image, calculate the number of each column black picture element, by the number of black picture element more than or equal to pixel count threshold
The row of value are designated as edge columns, are additionally operable to, to binary image, calculate the number of often row black picture element, will
The number of black picture element is designated as edge lines, by edge columns and edge lines more than or equal to the row of threshold number of pixels
Interweave region as target domain of the existence, and be partitioned into from binary image target domain of the existence with
Export as target subimage；Target identification equipment, sets with static storage device and target detection respectively
Standby connecting, mated with each benchmark human body image by target subimage, the match is successful then sends and deposits
At human body signal, it fails to match then sends without human body signal；Spring equipment, with MSP430 single-chip microcomputer
Connect and be arranged on air cushion, for receive fall triggering signal time, by air cushion below sick bed
Position level is ejected into the side of sick bed, and sends spring after air cushion level ejects and operated letter
Number；Inflator pump, is connected with spring equipment, MSP430 single-chip microcomputer and air cushion respectively, for receiving
To fall triggering signal and receive spring operated signal time, according to preset inflation capacity to air cushion
It is inflated；Air cushion, before spring equipment does not receives the triggering signal that falls, remains in sick bed
Lower section and be in contraction state, protects for the human body that falls sick bed after inflation；Weight
Rate of change detection equipment, is positioned at position, sick bed bed board downside, including weight detector and timer,
Weight detector load weight on detection sick bed bed board in real time, weight rate detection equipment base
The load weight rate of change on sick bed bed board is determined in the output of weight detector and the output of timer,
When load weight rate of change is more than when presetting rate of change, send weight change early warning signal, when load weight
Quantitative change rate, less than or equal to when presetting rate of change, sends weight change normal signal；MSP430 monolithic
Machine, respectively with CCD sensing equipment, spring equipment, weight rate detection equipment, target recognition
Equipment and ultrasonic detecting equipment connect, and after receiving weight change early warning signal, start CCD and pass
Sense equipment, subsequently receive exist human body signal and receive object skim over signal time, send and fall
Trigger signal, receive without human body signal and receive object skim over signal time, send early warning of falling
Signal, and do not receive object and skim over signal and receive only and there is human body signal, send fall pre-
Alert signal；Static storage device, is used for having prestored each benchmark human body image, each benchmark people
Body image is that the benchmark human body to the different bodily forms shoots the image obtained in advance, is additionally operable in advance
Square mean error amount, black and white threshold value, threshold number of pixels and default rate of change are preset in storage.
More specifically, in described cloud computing system: static storage device is also connected with power supply unit.
More specifically, in described cloud computing system: static storage device is also with wireless charging device even
Connect.
More specifically, in described cloud computing system: static storage device is also with target identification equipment even
Connect.
More specifically, in described cloud computing system: static storage device also detects with weight rate
Equipment connects.
More specifically, in described cloud computing system: MSP430 single-chip microcomputer and static storage device quilt
It is integrated on same surface-mounted integrated circuit.
Accompanying drawing explanation
Below with reference to accompanying drawing, embodiment of the present invention are described, wherein:
Fig. 1 is the block diagram according to the cloud computing system shown in embodiment of the present invention.
Reference: 1 ultrasonic listening equipment；2CCD sensing equipment；3 target identification equipments；
4 spring equipments；5MSP430 single-chip microcomputer
Detailed description of the invention
Below with reference to accompanying drawings the embodiment of the cloud computing system of the present invention is described in detail.
Currently, hospital management side actively takes some measures and patient falls an event prevents and keep away
Exempt from, such as reinforce bed body, increase source of early warning, reduce the unmanned nursing time, but, on the one hand this
A little measures and equipment are excessively simple, and detection and early warning are inefficient, on the other hand, lack and fall patient
Hold up the urgent rescue equipment of patient body during bed, fall an event also cannot avoid even if having detected patient
Patient falls the consequence that bed causes, and does not provides any help in practice for patient.
In order to overcome above-mentioned deficiency, the present invention has built a kind of cloud computing system, utilizes existing hospital
Sick bed bed body, carries out structure of modification and upgrading to it, adds various detection equipment and source of early warning pair
Patient falls an event and accurately identifies, particularly critical, also add effective emergency reaction and sets
Standby carry out urgent rescue when patient falls bed.
Fig. 1 is the block diagram according to the cloud computing system shown in embodiment of the present invention, described flat
Platform include ultrasonic listening equipment, CCD sensing equipment, target identification equipment, spring equipment and
MSP430 single-chip microcomputer, MSP430 single-chip microcomputer respectively with ultrasonic listening equipment, CCD sensing equipment,
Target identification equipment and spring equipment connect, and target identification equipment is connected with CCD sensing equipment, use
Judge whether ward bed side exists human body in the high definition side image shot based on CCD sensing equipment,
MSP430 single-chip microcomputer controls for testing result based on target identification equipment and ultrasonic listening equipment
Spring equipment.
Then, continue the concrete structure of the cloud computing system of the present invention is further detailed.
Described platform includes: ultrasonic listening equipment, is positioned at the side of sick bed bed board, for detection is
No have the object side process from sick bed bed board, and is being detected with the object side warp from sick bed bed board
Out-of-date, send object and skim over signal.
Described platform includes: Wireless Telecom Equipment, is connected with MSP430 single-chip microcomputer, connects including wireless
Receive subset and wireless transmission subset, for receiving fall triggering signal or the early warning signal that falls
Time trigger signal or the early warning signal that falls by wireless communication link by falling and be sent to the cloud base of far-end
Station carries out data process.
Described platform includes: display device, is connected with MSP430 single-chip microcomputer, is used for showing and falling
Trigger signal or the corresponding Word message of the early warning signal that falls.
Described platform includes: solar energy detection equipment, detects current solar energy intensity in real time；
Power supply unit, including solar powered device, accumulator, switching switch and electric pressure converter, switching
Switch is connected, when accumulator with solar energy detection equipment, solar powered device and accumulator respectively
When not enough the and current solar energy intensity of dump energy is optionally greater than preset strength, it is switched to solar energy and supplies
Electrical part is to be powered by solar powered device, and electric pressure converter is connected with switching switch, passing through
The 5V voltage of switching switch input is converted to 3.3V voltage, and the most solar powered device solar energy supplies
Electrical part includes solar energy photovoltaic panel.
Described platform includes: wireless charging device, is connected with solar energy detection equipment and accumulator respectively,
When the solar energy intensity that the dump energy of accumulator is not enough and current is less than preset strength, with neighbouring
Wireless charging terminal is set up and is connected to start wireless charging operation, and wireless charging device is also changed with voltage
Device connects to realize voltage conversion.
Described platform includes: CCD sensing equipment, is positioned at the side of sick bed bed board, dorsad ward bed side
Shoot with horizontal shooting direction to obtain high definition side image；Gray processing processing equipment, passes with CCD
Sense equipment connects, and is used for receiving high definition side image, and high definition side image performs gray processing process,
To obtain gray level image.
Described platform includes: contrast strengthens equipment, is connected with gray processing processing equipment, is used for receiving
Gray level image, and gray level image is carried out contrast enhancement processing, to obtain the first enhancing image；
Change of scale strengthens equipment, strengthens equipment with contrast and is connected, for receiving the first enhancing image, and
Strengthen image to first and carry out change of scale enhancement process, to obtain the second enhancing image；Edge strengthens
Equipment, strengthens equipment with change of scale and is connected, and for receiving the second enhancing image, and strengthens second
Image carries out edge enhancement process, to obtain the 3rd enhancing image.
Described platform includes: image compares equipment, strengthens equipment, Haar wavelet filtering with edge respectively
Equipment, Daubechies wavelet filtering equipment and self adaptation recursive filtering equipment connect, when increasing from edge
When strong equipment receives the 3rd enhancing image, first start Haar wavelet filtering equipment and strengthen image to the 3rd
Be filtered process to obtain the first filtering image, determine the first filtering image and the 3rd strengthen image it
Between mean square error using as the first mean square error, when the first mean square error is less than or equal to presetting mean square error
During difference, the first filtering image is exported as target filtering image, when the first mean square error is more than pre-
If during square mean error amount, start Daubechies wavelet filtering equipment and the 3rd enhancing image is filtered
Process to obtain the second filtering image, determine that the second filtering image and the 3rd strengthens between image mean square
Error is using as the second mean square error, when the second mean square error is less than or equal to default square mean error amount,
Second filtering image is exported as target filtering image, when the second mean square error is more than presetting mean square error
During difference, continue to start self adaptation recursive filtering equipment and be filtered processing to obtain to the 3rd enhancing image
Obtain the 3rd filtering image, determine that the mean square error between the 3rd filtering image and the 3rd enhancing image is to make
It is the 3rd mean square error, when the 3rd mean square error is less than or equal to when presetting square mean error amount, filters the 3rd
Ripple image exports as target filtering image, when the 3rd mean square error is more than default square mean error amount,
Determine mean square error that the second filtering image and the 3rd strengthens between image using as the second mean square error,
Select the mean square error that in the first mean square error, the second mean square error and the 3rd mean square error, numerical value is minimum
Corresponding filtering image exports as target filtering image, be then turned off Haar wavelet filtering equipment,
Daubechies wavelet filtering equipment and self adaptation recursive filtering equipment.
Described platform includes: Haar wavelet filtering equipment, uses based on 2 for strengthening image to the 3rd
The wavelet filtering of rank Haar wavelet basis processes, to obtain the first filtering image.
Described platform includes: Daubechies wavelet filtering equipment, uses for strengthening image to the 3rd
Wavelet filterings based on 2 rank Daubechies wavelet basiss process, to obtain the second filtering image.
Described platform includes: self adaptation recursive filtering equipment, performs adaptive for strengthening image to the 3rd
Answer Filtering Processing, to obtain the 3rd filtering image；Binary conversion treatment equipment, compares with image respectively and sets
Standby and static storage device connects, by the gray value of each pixel of target filtering image and black and white threshold
Value is respectively compared, and when the gray value of pixel is more than black and white threshold value, pixel is designated as white pixel, when
When the gray value of pixel is less than black and white threshold value, pixel is designated as black picture element, thus obtains binary picture
Picture.
Described platform includes: object detection apparatus, sets with binary conversion treatment equipment and static storage respectively
Standby connection, for binary image, calculating the number of each column black picture element, by the number of black picture element
Mesh is designated as edge columns more than or equal to the row of threshold number of pixels, is additionally operable to, to binary image, calculate and often go
The number of black picture element, is designated as edge by the number of black picture element more than or equal to the row of threshold number of pixels
OK, using the region of edge columns and edge lines intertexture as target domain of the existence, and from binary image
It is partitioned into target domain of the existence to export as target subimage.
Described platform includes: target identification equipment, respectively with static storage device and object detection apparatus
Connecting, mated with each benchmark human body image by target subimage, the match is successful then sends existence
Human body signal, it fails to match then sends without human body signal.
Described platform includes: spring equipment, is connected with MSP430 single-chip microcomputer and is arranged on air cushion,
For receive fall triggering signal time, air cushion is ejected into sick bed from sick bed lower position level
Side, and send spring and operated signal after air cushion level ejects.
Described platform includes: inflator pump, respectively with spring equipment, MSP430 single-chip microcomputer and air cushion even
Connect, for receive fall triggering signal and receive spring operate signal time, according to default
Air cushion is inflated by pneumatic volume；Air cushion, before spring equipment does not receives the triggering signal that falls,
Remain in below sick bed and be in contraction state, entering for the human body that after inflation, sick bed fallen
Row protection.
Described platform includes: weight rate detection equipment, is positioned at position, sick bed bed board downside, bag
Include weight detector and timer, weight detector load weight on detection sick bed bed board in real time
Amount, the output of weight rate detection equipment output based on weight detector and timer determines sick bed
Load weight rate of change on bed board, when load weight rate of change is more than when presetting rate of change, sends weight
Amount change early warning signal, when load weight rate of change is less than or equal to when presetting rate of change, sends weight and becomes
Change normal signal.
Described platform includes: MSP430 single-chip microcomputer, respectively with CCD sensing equipment, spring equipment,
Weight rate detection equipment, target identification equipment and ultrasonic detecting equipment connect, when receiving weight
After change early warning signal, start CCD sensing equipment, there is human body signal and connect receiving subsequently
Receive object when skimming over signal, send the triggering signal that falls, receiving without human body signal and receiving
When object skims over signal, send the early warning signal that falls, and do not receive object and skim over signal and only connect
Receive and there is human body signal, send the early warning signal that falls.
Described platform includes: static storage device, is used for having prestored each benchmark human body image,
Each benchmark human body image is that the benchmark human body to the different bodily forms shoots the image obtained in advance,
It is additionally operable to prestore default square mean error amount, black and white threshold value, threshold number of pixels and default rate of change.
Alternatively, in described platform: static storage device is also connected with power supply unit；Static storage
Equipment is also connected with wireless charging device；Static storage device is also connected with target identification equipment；Static
Storage device is also connected with weight rate detection equipment；And MSP430 single-chip microcomputer and static storage
Equipment is integrated on same surface-mounted integrated circuit.
It addition, wave filter, as the term suggests, it is the device that ripple is filtered." ripple " be one non-
Physical concept the most widely, at electronic technology field, " ripple " is narrowly confined to refer in particular to describe respectively
Plant the process of the value fluctuations in time of physical quantity.The effect by various kinds of sensors of this process,
It is converted into the time function of voltage or electric current, the time waveform of the most various physical quantitys, or claims
For signal.Because the independent variable time is continuous value, so referred to as continuous time signal, again
It is referred to as analogue signal habitually.
Along with the generation of digital electronic computer technology with develop rapidly, for the ease of computer to letter
Number process, create and under sampling theorem instructs, continuous time signal is transformed into discrete time letter
Number complete theory and method.It is to say, can only use original analog signal when series of discrete
Between sample value in coordinate points express primary signal and do not lose any information, ripple, waveform, signal this
Since what a little concepts were expressed is the change of various physical quantitys in objective world, it is exactly that modern society relies naturally
Carrier with the various information of existence.Information needs to propagate, and lean on is exactly the transmission of waveshape signal.Letter
Number it generation, change, each link of transmitting be likely to be due to environment and the existence of interference and
Distortion, the most in quite a number of cases, this distortion is the most serious, causes signal and is taken
The information of band is embedded in the middle of noise dearly.In order to filter these noises, recover signal originally,
Need to use various wave filter to be filtered processing.
Use the cloud computing system of the present invention, cannot be for the patient fallen from sick bed for prior art
Carry out the technical problem of urgent rescue, carry out testing result by adding high-precision multiple detection equipment
Comprehensive analysis, effectively to judge whether patient falls, the warning device being additionally added necessity is reported
Alert, it is also added into special emergency reaction equipment to carry out urgent rescue when patient falls simultaneously, keeps away
Exempt from patient because pendant bed comes to harm.
Although it is understood that the present invention discloses as above with preferred embodiment, but above-mentioned enforcement
Example is not limited to the present invention.For any those of ordinary skill in the art, without departing from
Under technical solution of the present invention ambit, all may utilize the technology contents of the disclosure above to the technology of the present invention
Scheme makes many possible variations and modification, or is revised as the Equivalent embodiments of equivalent variations.Therefore,
Every content without departing from technical solution of the present invention, the technical spirit of the foundation present invention is to above example
Any simple modification, equivalent variations and the modification done, all still falls within technical solution of the present invention protection
In the range of.
Claims (7)
1. a cloud computing system, including with cloud base station for support platform, described platform includes surpassing
Acoustic detection equipment, CCD sensing equipment, target identification equipment, spring equipment and MSP430 monolithic
Machine, MSP430 single-chip microcomputer sets with ultrasonic listening equipment, CCD sensing equipment, target recognition respectively
Standby and spring equipment connects, and target identification equipment is connected with CCD sensing equipment, for based on CCD
The high definition side image of sensing equipment shooting judges whether ward bed side exists human body, MSP430 monolithic
Machine controls spring equipment for testing result based on target identification equipment and ultrasonic listening equipment.
2. cloud computing system as claimed in claim 1, it is characterised in that described platform includes:
Ultrasonic listening equipment, is positioned at the side of sick bed bed board, is used for having detected whether that object is from sick bed
The side process of bed board, and it is being detected with object from the side of sick bed bed board through out-of-date, send object
Skim over signal；
Wireless Telecom Equipment, is connected with MSP430 single-chip microcomputer, including wireless receiving subset and wireless
Send subset, for receive fall triggering signal or fall early warning signal time pass through radio communication
Link triggers falling signal or the early warning signal that falls and is sent to the cloud base station of far-end and carries out data process；
Display device, is connected with MSP430 single-chip microcomputer, triggers signal for display with falling or falls
The corresponding Word message of early warning signal；
Solar energy detection equipment, detects current solar energy intensity in real time；
Power supply unit, including solar powered device, accumulator, switching switch and electric pressure converter,
Switching switch is connected with solar energy detection equipment, solar powered device and accumulator respectively, works as electric power storage
When not enough the and current solar energy intensity of the dump energy in pond is optionally greater than preset strength, it is switched to the sun
Energy power supply device is to be powered by solar powered device, and electric pressure converter is connected with switching switch, to incite somebody to action
3.3V voltage, the most solar powered device sun is converted to by the 5V voltage of switching switch input
Solar energy photovoltaic panel can be included by power supply device；
Wireless charging device, is connected with solar energy detection equipment and accumulator respectively, when remaining of accumulator
When not enough the and current solar energy intensity of remaining electricity is less than preset strength, with neighbouring wireless charging terminal
Setting up and connect to start wireless charging operation, wireless charging device is also connected with electric pressure converter to realize
Voltage is changed；
CCD sensing equipment, is positioned at the side of sick bed bed board, and ward bed side is with horizontal shooting direction dorsad
Shooting is to obtain high definition side image；
Gray processing processing equipment, is connected with CCD sensing equipment, is used for receiving high definition side image,
And high definition side image is performed gray processing process, to obtain gray level image；
Contrast strengthens equipment, is connected with gray processing processing equipment, is used for receiving gray level image, and
Gray level image is carried out contrast enhancement processing, to obtain the first enhancing image；
Change of scale strengthens equipment, strengthens equipment with contrast and is connected, for receiving the first enhancing image,
And the first enhancing image is carried out change of scale enhancement process, to obtain the second enhancing image；
Edge strengthens equipment, strengthens equipment with change of scale and is connected, for receiving the second enhancing image,
And the second enhancing image is carried out edge enhancement process, to obtain the 3rd enhancing image；
Image compares equipment, strengthens equipment, Haar wavelet filtering equipment, Daubechies with edge respectively
Wavelet filtering equipment and self adaptation recursive filtering equipment connect, and receive the 3rd when strengthening equipment from edge
When strengthening image, first start Haar wavelet filtering equipment and be filtered processing to obtain to the 3rd enhancing image
Obtain the first filtering image, determine that the mean square error between the first filtering image and the 3rd enhancing image is to make
It is the first mean square error, when the first mean square error is less than or equal to when presetting square mean error amount, filters first
Ripple image exports as target filtering image, when the first mean square error is more than default square mean error amount,
Start Daubechies wavelet filtering equipment to be filtered processing to obtain the second filter to the 3rd enhancing image
Ripple image, determines that the second filtering image and the 3rd strengthens the mean square error between image using equal as second
Side's error, when the second mean square error is less than or equal to when presetting square mean error amount, makees the second filtering image
Export for target filtering image, when the second mean square error is more than when presetting square mean error amount, continue to start
Self adaptation recursive filtering equipment strengthens image and is filtered processing to obtain the 3rd filtering image the 3rd,
Determine mean square error that the 3rd filtering image and the 3rd strengthens between image using as the 3rd mean square error,
When the 3rd mean square error is less than or equal to when presetting square mean error amount, the 3rd filtering image is filtered as target
Ripple image exports, and when the 3rd mean square error is more than when presetting square mean error amount, determines the second filtering image
With the 3rd strengthen the mean square error between image using as the second mean square error, select the first mean square error
The filtering figure corresponding to mean square error that in difference, the second mean square error and the 3rd mean square error, numerical value is minimum
As exporting as target filtering image, it is then turned off Haar wavelet filtering equipment, Daubechies small echo
Filter apparatus and self adaptation recursive filtering equipment；
Haar wavelet filtering equipment, uses based on 2 rank Haar wavelet basiss for strengthening image to the 3rd
Wavelet filtering process, to obtain the first filtering image；
Daubechies wavelet filtering equipment, uses based on 2 rank for strengthening image to the 3rd
The wavelet filtering of Daubechies wavelet basis processes, to obtain the second filtering image；
Self adaptation recursive filtering equipment, performs adaptive-filtering process for strengthening image to the 3rd, with
Obtain the 3rd filtering image；
Binary conversion treatment equipment, compares equipment with image respectively and static storage device is connected, by target
The gray value of each pixel of filtering image is respectively compared with black and white threshold value, when the gray value of pixel is big
When black and white threshold value, pixel is designated as white pixel, when the gray value of pixel is less than black and white threshold value,
Pixel is designated as black picture element, thus obtains binary image；
Object detection apparatus, is connected with binary conversion treatment equipment and static storage device respectively, for right
Binary image, calculates the number of each column black picture element, by the number of black picture element more than or equal to pixel
The row of number threshold value are designated as edge columns, are additionally operable to, to binary image, calculate the number of often row black picture element,
The number of black picture element is designated as edge lines, by edge columns and edge more than or equal to the row of threshold number of pixels
The region that row interweaves is as target domain of the existence, and is partitioned into target domain of the existence from binary image
To export as target subimage；
Target identification equipment, is connected with static storage device and object detection apparatus respectively, by target
Image mates with each benchmark human body image, and the match is successful then sends and there is human body signal, coupling
Failed then send without human body signal；
Spring equipment, is connected with MSP430 single-chip microcomputer and is arranged on air cushion, for receiving pendant
When falling to triggering signal, air cushion is ejected into from sick bed lower position level the side of sick bed, and at air cushion
Level sends spring after ejecting and has operated signal；
Inflator pump, is connected with spring equipment, MSP430 single-chip microcomputer and air cushion respectively, for receiving
To fall triggering signal and receive spring operated signal time, according to preset inflation capacity to air cushion
It is inflated；
Air cushion, before spring equipment does not receives the triggering signal that falls, remain in below sick bed and
It is in contraction state, protects for the human body that after inflation, sick bed fallen；
Weight rate detection equipment, is positioned at position, sick bed bed board downside, including weight detector and
Timer, weight detector load weight on detection sick bed bed board in real time, weight rate is examined
The output of measurement equipment output based on weight detector and timer determines the load weight on sick bed bed board
Quantitative change rate, when load weight rate of change is more than when presetting rate of change, sends weight change early warning signal,
When load weight rate of change is less than or equal to when presetting rate of change, send weight change normal signal；
MSP430 single-chip microcomputer, respectively with CCD sensing equipment, spring equipment, weight rate detection
Equipment, target identification equipment and ultrasonic detecting equipment connect, after receiving weight change early warning signal,
Start CCD sensing equipment, skim over signal receiving to there is human body signal and receive object subsequently
Time, send the triggering signal that falls, receive without human body signal and receive object skim over signal time,
Send the early warning signal that falls, and do not receive object and skim over signal and receive only and there is human body letter
Number, send the early warning signal that falls；
Static storage device, is used for having prestored each benchmark human body image, each benchmark human figure
As the image obtained for the benchmark human body of the different bodily forms is shot in advance, it is additionally operable to prestore
Preset square mean error amount, black and white threshold value, threshold number of pixels and default rate of change.
3. cloud computing system as claimed in claim 2, it is characterised in that:
Static storage device is also connected with power supply unit.
4. cloud computing system as claimed in claim 2, it is characterised in that:
Static storage device is also connected with wireless charging device.
5. cloud computing system as claimed in claim 2, it is characterised in that:
Static storage device is also connected with target identification equipment.
6. cloud computing system as claimed in claim 2, it is characterised in that:
Static storage device is also connected with weight rate detection equipment.
7. cloud computing system as claimed in claim 2, it is characterised in that:
MSP430 single-chip microcomputer and static storage device are integrated on same surface-mounted integrated circuit.
Priority Applications (2)
| Application Number | Priority Date | Filing Date | Title |
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| CN201711318975.9A CN108030608A (en) | 2016-05-24 | 2016-05-24 | A kind of sick bed |
| CN201610351290.3A CN105943273B (en) | 2016-05-24 | 2016-05-24 | Cloud computing system |
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| CN201610351290.3A CN105943273B (en) | 2016-05-24 | 2016-05-24 | Cloud computing system |
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| CN201711318975.9A Division CN108030608A (en) | 2016-05-24 | 2016-05-24 | A kind of sick bed |
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| CN105943273B CN105943273B (en) | 2018-01-09 |
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| CN201610351290.3A Active CN105943273B (en) | 2016-05-24 | 2016-05-24 | Cloud computing system |
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| Publication number | Publication date |
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| CN108030608A (en) | 2018-05-15 |
| CN105943273B (en) | 2018-01-09 |
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