CN108030608A - A kind of sick bed - Google Patents
A kind of sick bed Download PDFInfo
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- CN108030608A CN108030608A CN201711318975.9A CN201711318975A CN108030608A CN 108030608 A CN108030608 A CN 108030608A CN 201711318975 A CN201711318975 A CN 201711318975A CN 108030608 A CN108030608 A CN 108030608A
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- filtering
- sick bed
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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
-
- 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
-
- 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
-
- 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
-
- 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
Abstract
The invention discloses a kind of sick bed, including using cloud base station as the platform supported, the platform includes ultrasonic listening equipment, CCD sensing equipments, target identification equipment, spring equipment and MSP430 microcontrollers, MSP430 microcontrollers respectively with ultrasonic listening equipment, CCD sensing equipments, target identification equipment is connected with spring equipment, target identification equipment is connected with CCD sensing equipments, high definition side image for being shot based on CCD sensing equipments judges that ward bed side whether there is human body, MSP430 microcontrollers are used to control spring equipment based on the testing result of target identification equipment and ultrasonic listening equipment.By means of the invention it is possible to provide more convenience.
Description
The application is Application No. 2016103512903, and the applying date is on May 24th, 2016, and invention and created name is
The divisional application of the patent of " cloud computing system ".
Technical field
The present invention relates to hospital equipment field, more particularly to a kind of cloud computing system.
Background technology
Under normal circumstances, patient is safely can to rest or receive on one's sick bed treatment, is on the one hand because uninterrupted
Ground has medical staff and carries out medical and nursing work, or has families of patients and look after for a long time, even in night, it is also possible to arranges special
The nursing staff of door retains one's original salary patient is nursed, and shortens the unmanned nurse time of patient, on the other hand also in that some
Patient still has certain ability to act, to oneself having carried out self specification, reduces the probability to fall from the bed.But medical care
Personnel, families of patients or even the nursing staff that retains one's original salary are manually to nurse after all, oneself also has the time had a meal, rested, can not be right
Patient carries out nurse when uninterrupted, 24 is small, and therefore, patient still has certain unmanned nurse time, meanwhile, also have
Patient is to completely lose ability to act, for these patients, it is likely to once unintentionally turns over the hair for resulting in falling from bed event
It is raw.
In order to avoid the generation of patient's falling from bed event, in the prior art, hospital management side also takes much positive arrange
Apply, for example, transforming sick bed bed body, increase the height of guardrail, and set some geofences to set in sick bed bed body
Standby and emergence call equipment, to reduce the possibility of patient's falling from bed, the trigger device of falling from bed alarm is provided for patient, these transformations
Sick bed equipment afterwards reduces the generation of patient's falling from bed event to a certain extent.Meanwhile hospital management side also takes
Measure, such as increase and the interaction and communication of families of patients, to reduce the time of the unmanned nurse of patient.
But to make mechanism too simple for these existing hospital bed structural reforms, since patient's falling from bed duration intervals are very of short duration, on
The detection and warning device accuracy of detection stated be not high, detection efficiency is low, the increase of guardrail height and nurses the increase of time only
The probability of patient's falling from bed can be reduced, the event without being avoided that falling from bed occurs, and most importantly, lacks in the prior art to patient
The fast reaction measure of falling from bed event and fast reaction equipment, can not carry out fast reaction to patient's falling from bed event, can not be timely
Patient body is quickly supported, leads to not the ill effect for avoiding patient's falling from bed.
Therefore, it is necessary to a kind of technical solution of new sick bed structure design, the pendant of patient can be accurately and efficiently detected
Bed event, can quickly be alarmed, additionally it is possible to patient is given first aid to using some emergency reaction equipment.
The content of the invention
To solve the above-mentioned problems, the present invention provides a kind of cloud computing system, by transforming existing hospital bed bed
Body, introduces weight detection equipment, image detecting apparatus and ray detector to patient in existing hospital bed bed body
Falling from bed event carries out accurate judgement, introduces some sources of early warning and is alarmed accordingly, in addition, also introducing targetedly
Urgent rescue equipment effectively supports the patient body to fall.
According to an aspect of the present invention, there is provided a kind of cloud computing system, the platform include ultrasonic listening equipment,
CCD sensing equipments, target identification equipment, spring equipment and MSP430 microcontrollers, MSP430 microcontrollers respectively with ultrasonic listening
Equipment CCD sensing equipments, target identification equipment are connected with spring equipment, and target identification equipment is connected with CCD sensing equipments, is used for
High definition side image based on the shooting of CCD sensing equipments judges that ward bed side whether there is human body, and MSP430 microcontrollers are used for base
Spring equipment is controlled in the testing result of target identification equipment and ultrasonic listening equipment.
More specifically, in the cloud computing system, including：Ultrasonic listening equipment, positioned at the side of sick bed bed board, is used
In detecting whether that object passes through from the side of sick bed bed board, and when being detected with object and passing through from the side of sick bed bed board,
Send object and skim over signal；Wireless telecom equipment, is connected with MSP430 microcontrollers, including the sub- equipment of wireless receiving and wireless transmission
Sub- equipment, for receive fall trigger signal or fall pre-warning signal when will be fallen trigger signal by wireless communication link
Or the pre-warning signal that falls is sent to the cloud base station progress data processing of distal end；Display device, is connected with MSP430 microcontrollers, is used for
Show and trigger signal or the corresponding text information of the pre-warning signal that falls of falling；Solar energy detection device, works as detecting in real time
Preceding solar energy intensity；Power supply unit, including solar powered device, storage battery, switching switch and electric pressure converter, switching are opened
Pass is connected with solar energy detection device, solar powered device and storage battery respectively, when the remaining capacity of storage battery is insufficient and works as
When preceding solar energy intensity is optionally greater than preset strength, solar powered device is switched to be powered by solar powered device,
Electric pressure converter is connected with switching switch, using the 5V voltage conversions that will be inputted by switching switch as 3.3V voltages, the wherein sun
The energy solar powered device of power supply device includes solar energy photovoltaic panel；Wireless charging device, respectively with solar energy detection device and
Storage battery connects, when the insufficient and current solar energy intensity of the remaining capacity of storage battery is less than preset strength, with neighbouring nothing
Micro USB electric terminals establish connection to start wireless charging operation, and wireless charging device is also connected with electric pressure converter to realize voltage
Conversion；CCD sensing equipments, positioned at the side of sick bed bed board, are shot to obtain high definition backwards to ward bed side with horizontal shooting direction
Side image；Gray processing processing equipment, is connected with CCD sensing equipments, for receiving high definition side image, and to high definition side view
As performing gray processing processing, to obtain gray level image；Contrast strengthens equipment, is connected with gray processing processing equipment, for connecing
Gray level image is received, and contrast enhancement processing is carried out to gray level image, to obtain the first enhancing image；Change of scale strengthens
Equipment, is connected with contrast enhancing equipment, and change of scale increasing is carried out for receiving the first enhancing image, and to the first enhancing image
Strength is managed, to obtain the second enhancing image；Edge strengthens equipment, is connected with change of scale enhancing equipment, increases for receiving second
Strong image, and edge enhancing processing is carried out to the second enhancing image, to obtain the 3rd enhancing image；Image compares equipment, respectively
Connect with edge enhancing equipment, Haar wavelet filterings equipment, Daubechies wavelet filterings equipment and adaptive recursive filtering equipment
Connect, when receiving the 3rd enhancing image from edge enhancing equipment, first start Haar wavelet filterings equipment to the 3rd enhancing image
Processing is filtered to obtain the first filtering image, determine mean square error between the first filtering image and the 3rd enhancing image with
As the first mean square error, when the first mean square error is less than or equal to default square mean error amount, using the first filtering image as mesh
Filtering image output is marked, when the first mean square error is more than default square mean error amount, starts Daubechies wavelet filtering equipment
Processing is filtered to obtain the second filtering image to the 3rd enhancing image, determine the second filtering image and the 3rd enhancing image it
Between mean square error using as the second mean square error, when the second mean square error is less than or equal to default square mean error amount, by second
Filtering image is exported as target filtering image, when the second mean square error is more than default square mean error amount, continues to start adaptive
Answer recursive filtering equipment to be filtered processing to the 3rd enhancing image to obtain the 3rd filtering image, determine the 3rd filtering image and
Mean square error between 3rd enhancing image is using as the 3rd mean square error, when the 3rd mean square error is less than or equal to default mean square error
During difference, exported the 3rd filtering image as target filtering image, when the 3rd mean square error is more than default square mean error amount,
Determine the mean square error between the second filtering image and the 3rd enhancing image as the second mean square error, to select the first mean square error
Filtering image in difference, the second mean square error and the 3rd mean square error corresponding to the mean square error of numerical value minimum is filtered as target
Image exports, and is then turned off Haar wavelet filterings equipment, Daubechies wavelet filterings equipment and adaptive recursive filtering equipment；
Haar wavelet filtering equipment, for being handled using the wavelet filtering based on 2 rank Haar wavelet basis the 3rd enhancing image, to obtain
First filtering image；Daubechies wavelet filtering equipment is small based on 2 rank Daubechies for being used to the 3rd enhancing image
The wavelet filtering processing of ripple base, to obtain the second filtering image；Adaptive recursive filtering equipment, for being held to the 3rd enhancing image
Row adaptive-filtering processing, to obtain the 3rd filtering image；Binary conversion treatment equipment, equipment and static state are deposited compared with image respectively
Equipment connection is stored up, the gray value of each pixel of target filtering image and black and white threshold value are respectively compared, when the gray scale of pixel
When value is more than black and white threshold value, pixel is denoted as white pixel, when the gray value of pixel is less than black and white threshold value, pixel is denoted as black
Color pixel, so as to obtain binary image；Object detection apparatus, connects with binary conversion treatment equipment and static storage device respectively
Connect, for binary image, calculating the number of each column black picture element, the number of black picture element being more than or equal to threshold number of pixels
Row be denoted as edge columns, be additionally operable to binary image, calculate the number of often row black picture element, the number of black picture element is more than
Row equal to threshold number of pixels is denoted as edge lines, using the region of edge columns and edge lines intertexture as target domain of the existence, and from
Target domain of the existence is partitioned into binary image to be exported as target subgraph；Target identification equipment, is deposited with static state respectively
Storage equipment is connected with object detection apparatus, target subgraph is matched with each benchmark human body image, successful match is then sent out
Go out there are human body signal, it fails to match then sends no human body signal；Spring equipment, is connected with MSP430 microcontrollers and is arranged on gas
On pad, for receive fall trigger signal when, air cushion is ejected into the side of sick bed from sick bed lower position level, and
Spring operation, which is sent, after the horizontal pop-up of air cushion completes signal；Inflator pump, connects with spring equipment, MSP430 microcontrollers and air cushion respectively
Connect, for receive fall trigger signal and receive spring operation complete signal when, according to preset inflation capacity to air cushion
It is inflated；Air cushion, before spring equipment does not receive trigger signal of falling, remains in below sick bed and in contraction-like
State, is protected for the human body that falls after inflation to sick bed；Weight rate detection device, on the downside of sick bed bed board
Face position, including weight detector and timer, weight detector are used to detect the load weight on sick bed bed board, weight in real time
The output of output and timer of the change rate detection device based on weight detector determines the load weight change on sick bed bed board
Rate, when load weight change rate is more than default change rate, sends weight change pre-warning signal, when load weight change rate is less than
During equal to default change rate, weight change normal signal is sent；MSP430 microcontrollers, set with CCD sensing equipments, spring respectively
Standby, weight rate detection device, target identification equipment are connected with ultrasonic detecting equipment, when reception weight change pre-warning signal
Afterwards, start CCD sensing equipments, then when receiving there are human body signal and receiving object and skim over signal, send fall it is tactile
Signal, when receiving no human body signal and receiving object and skim over signal, send the pre-warning signal that falls, and do not receive
Object skims over signal and receives only there are human body signal, sends the pre-warning signal that falls；Static storage device, for prestoring
Each benchmark human body image, each benchmark human body image are that the benchmark human body of the different bodily forms is shot in advance and is obtained
Image, is additionally operable to prestore default square mean error amount, black and white threshold value, threshold number of pixels and default change rate.
More specifically, in the cloud computing system：Static storage device is also connected with power supply unit.
More specifically, in the cloud computing system：Static storage device is also connected with wireless charging device.
More specifically, in the cloud computing system：Static storage device is also connected with target identification equipment.
More specifically, in the cloud computing system：Static storage device is also connected with weight rate detection device.
More specifically, in the cloud computing system：MSP430 microcontrollers are integrated in same with static storage device
On integrated circuit plate.
Brief description of the drawings
Embodiment of the present invention is described below with reference to attached drawing, wherein：
Fig. 1 is the block diagram of the cloud computing system according to embodiment of the present invention.
Reference numeral：1 ultrasonic listening equipment；2CCD sensing equipments；3 target identification equipments；4 spring equipments；5MSP430
Microcontroller
Embodiment
The embodiment of the cloud computing system of the present invention is described in detail below with reference to accompanying drawings.
Currently, hospital management side actively takes some measures and patient's falling from bed event is prevented and avoided, such as adds
Gu bed body, increase source of early warning, reduce unmanned nursing time, still, on the one hand these measures and equipment it is too simple, detection and
Early warning is inefficient, on the other hand, lacks the urgent rescue equipment that patient body is held up in patient's falling from bed, even if having detected disease
Consequence caused by people's falling from bed event also can not avoid patient's falling from bed, does not provide any help in practice for patient.
In order to overcome above-mentioned deficiency, the present invention has built a kind of cloud computing system, right using existing hospital bed bed body
It carries out structure of modification and upgrading, adds various detection devices and source of early warning and patient's falling from bed event is accurately identified,
It is particularly critical, it also add effective emergency reaction equipment and carry out urgent rescue in patient's falling from bed.
Fig. 1 is the block diagram of the cloud computing system according to embodiment of the present invention, and the platform includes ultrasound
Ripple detecting devices, CCD sensing equipments, target identification equipment, spring equipment and MSP430 microcontrollers, MSP430 microcontrollers respectively with
Ultrasonic listening equipment, CCD sensing equipments, target identification equipment are connected with spring equipment, and target identification equipment is set with CCD sensings
Standby connection, the high definition side image for being shot based on CCD sensing equipments judge that ward bed side whether there is human body, and MSP430 is mono-
Piece machine is used to control spring equipment based on the testing result of target identification equipment and ultrasonic listening equipment.
Then, continue that the concrete structure of the cloud computing system of the present invention is further detailed.
The platform includes：Ultrasonic listening equipment, positioned at the side of sick bed bed board, for having detected whether object from disease
The side of bed bed board is passed through, and when being detected with object and passing through from the side of sick bed bed board, sends object and skim over signal.
The platform includes：Wireless telecom equipment, is connected with MSP430 microcontrollers, including the sub- equipment of wireless receiving and wireless
Send sub- equipment, for receive fall trigger signal or fall pre-warning signal when will be fallen triggering by wireless communication link
The cloud base station that signal or the pre-warning signal that falls are sent to distal end carries out data processing.
The platform includes：Display device, is connected with MSP430 microcontrollers, trigger signal or falls for showing and falling
The corresponding text information of pre-warning signal.
The platform includes：Solar energy detection device, for detecting current solar energy intensity in real time；Power supply unit, bag
Include solar powered device, storage battery, switching switch and electric pressure converter, switching switch respectively with solar energy detection device, too
Positive energy power supply device is connected with storage battery, when the insufficient and current solar energy intensity of the remaining capacity of storage battery is optionally greater than default
During intensity, solar powered device is switched to be powered by solar powered device, electric pressure converter is connected with switching switch, with
It is 3.3V voltages by the 5V voltage conversions inputted by switching switch, wherein solar powered device solar energy electric supplier part includes
Solar energy photovoltaic panel.
The platform includes：Wireless charging device, is connected with solar energy detection device and storage battery, when storage battery respectively
When remaining capacity is insufficient and current solar energy intensity is less than preset strength, establishes and connected to open with neighbouring wireless charging terminal
Dynamic wireless charging operation, wireless charging device are also connected with electric pressure converter to realize voltage conversion.
The platform includes：CCD sensing equipments, positioned at the side of sick bed bed board, backwards to ward bed side with horizontal shooting side
To shooting to obtain high definition side image；Gray processing processing equipment, is connected with CCD sensing equipments, for receiving high definition side view
Picture, and gray processing processing is performed to high definition side image, to obtain gray level image.
The platform includes：Contrast strengthens equipment, is connected with gray processing processing equipment, for receiving gray level image,
And contrast enhancement processing is carried out to gray level image, to obtain the first enhancing image；Change of scale strengthens equipment, with contrast
Strengthen equipment connection, change of scale enhancing processing is carried out for receiving the first enhancing image, and to the first enhancing image, to obtain
Second enhancing image；Edge strengthens equipment, be connected with change of scale enhancing equipment, strengthens image for receiving second, and to the
Two enhancing images carry out edge enhancing processing, to obtain the 3rd enhancing image.
The platform includes：Image compares equipment, respectively with edge enhancing equipment, Haa r wavelet filterings equipment,
Daubechies wavelet filterings equipment is connected with adaptive recursive filtering equipment, is strengthened when receiving the 3rd from edge enhancing equipment
During image, first start Haar wavelet filterings equipment and processing is filtered to obtain the first filtering image to the 3rd enhancing image, really
Mean square error between fixed first filtering image and the 3rd enhancing image is using as the first mean square error, when the first mean square error is small
When equal to default square mean error amount, exported the first filtering image as target filtering image, when the first mean square error is more than
During default square mean error amount, start Daubechies wavelet filterings equipment and processing is filtered to the 3rd enhancing image to obtain the
Two filtering images, determine mean square error between the second filtering image and the 3rd enhancing image using as the second mean square error, when
When second mean square error is less than or equal to default square mean error amount, using the second filtering image as the output of target filtering image, when the
When two mean square errors are more than default square mean error amount, continue to start adaptive recursive filtering equipment and the 3rd enhancing image is filtered
Ripple processing determines mean square error between the 3rd filtering image and the 3rd enhancing image to be used as the to obtain the 3rd filtering image
Three mean square errors, when the 3rd mean square error is less than or equal to default square mean error amount, filter the 3rd filtering image as target
Image exports, when the 3rd mean square error is more than default square mean error amount, determine the second filtering image and the 3rd enhancing image it
Between mean square error as the second mean square error, to select in the first mean square error, the second mean square error and the 3rd mean square error
Filtering image corresponding to the mean square error of numerical value minimum is exported as target filtering image, is then turned off Haar wavelet filterings and is set
Standby, Daubechies wavelet filterings equipment and adaptive recursive filtering equipment.
The platform includes：Haar wavelet filtering equipment, 2 rank Haar wavelet basis are based on for being used to the 3rd enhancing image
Wavelet filtering processing, to obtain the first filtering image.
The platform includes：Daubechies wavelet filtering equipment, 2 ranks are based on for being used to the 3rd enhancing image
The wavelet filtering processing of Daubechies wavelet basis, to obtain the second filtering image.
The platform includes：Adaptive recursive filtering equipment, for performing adaptive-filtering processing to the 3rd enhancing image,
To obtain the 3rd filtering image；Binary conversion treatment equipment, equipment and static storage device connection compared with image respectively, 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 more than black and white threshold value,
Pixel is denoted as white pixel, when the gray value of pixel is less than black and white threshold value, pixel is denoted as black picture element, so as to obtain two
Value image.
The platform includes：Object detection apparatus, is connected with binary conversion treatment equipment and static storage device, is used for respectively
To binary image, the number of each column black picture element is calculated, row of the number of black picture element more than or equal to threshold number of pixels are remembered
Arranged for side, be additionally operable to calculate binary image the number of often row black picture element, the number of black picture element is more than or equal to pixel
The row of number threshold values is denoted as edge lines, and the region that edge columns and edge lines are interweaved is as target domain of the existence, and from binary picture
Target domain of the existence is partitioned into as in be exported as target subgraph.
The platform includes：Target identification equipment, is connected with static storage device and object detection apparatus respectively, by target
Subgraph is matched with each benchmark human body image, and successful match is then sent there are human body signal, and it fails to match then sends nothing
Human body signal.
The platform includes：Spring equipment, is connected with MSP430 microcontrollers and is arranged on air cushion, for receiving pendant
When falling trigger signal, air cushion is ejected into the side of sick bed from sick bed lower position level, and sent after the horizontal pop-up of air cushion
Signal is completed in spring operation.
The platform includes：Inflator pump, is connected with spring equipment, MSP430 microcontrollers and air cushion, for receiving respectively
To fall trigger signal and receive spring operation complete signal when, air cushion is inflated according to preset inflation capacity；Air cushion,
Before spring equipment does not receive trigger signal of falling, remain in below sick bed and be in contraction state, for inflating
After the human body that falls to sick bed protect.
The platform includes：Weight rate detection device, positioned at sick bed bed board downside position, including weight detector
And timer, weight detector are used to detect the load weight on sick bed bed board in real time, weight rate detection device is based on weight
The load weight change rate on the definite sick bed bed board of output of the output and timer of detector is measured, when load weight change rate is big
When default change rate, weight change pre-warning signal is sent, when load weight change rate is less than or equal to default change rate, is sent
Weight change normal signal.
The platform includes：MSP430 microcontrollers, set with CCD sensing equipments, spring equipment, weight rate detection respectively
Standby, target identification equipment is connected with ultrasonic detecting equipment, after weight change pre-warning signal is received, starts CCD sensing equipments,
Then when receiving there are human body signal and receiving object and skim over signal, trigger signal of falling is sent, is receiving nobody
Body signal and when receiving object and skimming over signal, sends the pre-warning signal that falls, and do not receive object and skim over signal and only connect
Receive there are human body signal, send the pre-warning signal that falls.
The platform includes：Static storage device, for having prestored each benchmark human body image, each benchmark human body
Image is additionally operable to prestore default mean square error to be shot the image obtained in advance to the benchmark human body of the different bodily forms
Value, black and white threshold value, threshold number of pixels and default change rate.
Alternatively, in the platform：Static storage device is also connected with power supply unit；Static storage device also with wirelessly
Charging equipment connects；Static storage device is also connected with target identification equipment；Static storage device is also detected with weight rate
Equipment connects；And MSP430 microcontrollers are integrated on same integrated circuit plate with static storage device.
In addition, wave filter, is the device filtered to ripple as its name suggests." ripple " is that a very extensive physics is general
Read, in electronic technology field, the value that " ripple " is narrowly confined to refer in particular to describe various physical quantitys is with time fluctuations
Process.The process is converted into the function of time of voltage or electric current, is referred to as various physical quantitys by the effect of various kinds of sensors
Time waveform, or referred to as signal.Because the independent variable time is continuous value, referred to as continuous time signal,
Habitually it is referred to as analog signal again.
With the generation and rapid development of digital electronic computer technology, for the ease of computer to signal at
Reason, generates the complete theoretical and method that continuous time signal is transformed into discrete-time signal under sampling theorem guidance.
That is, original signal only can be expressed without losing with sample value of the original analog signal on series of discrete time coordinate point
Lose any information since the expression of ripple, waveform, signal these concepts be various physical quantitys in objective world change, naturally
It is the carrier for the various information that modern society depends on for existence.Information needs to propagate, and what is leaned on is exactly the transmission of waveform signal.Signal exists
Its generation, conversion, each link of transmission may be distorted due to the presence of environment and interference, even quite a lot of
In the case of, this distortion is also very serious, causes signal and its entrained information to be embedded in dearly among noise.In order to
These noises are filtered out, recover the signal of script, it is necessary to be filtered processing using various wave filters.
Cloud computing system using the present invention, can not be that the patient to fall from sick bed is promptly rescued for the prior art
The technical problem of shield, is detected result comprehensive analysis, effectively to judge patient by adding high-precision multiple detection devices
Whether fall, be additionally added necessary warning device and alarm, at the same be also added into special emergency reaction equipment with
Urgent rescue is carried out when patient falls, avoids patient because falling from bed comes to harm.
It is understood that although the present invention is disclosed as above with preferred embodiment, but above-described embodiment and it is not used to
Limit the present invention.For any those skilled in the art, without departing from the scope of the technical proposal of the invention,
Many possible changes and modifications are all made to technical solution of the present invention using the technology contents of the disclosure above, or are revised as
With the equivalent embodiment of change.Therefore, every content without departing from technical solution of the present invention, the technical spirit pair according to the present invention
Any simple modifications, equivalents, and modifications made for any of the above embodiments, still fall within the scope of technical solution of the present invention protection
It is interior.
Claims (7)
1. a kind of sick bed, it is characterised in that the sick bed includes：Cloud base station, ultrasonic listening equipment, CCD sensing equipments, target
Identification equipment, spring equipment and MSP430 microcontrollers, MSP430 microcontrollers respectively with ultrasonic listening equipment, CCD sensing equipments,
Target identification equipment is connected with spring equipment, and target identification equipment is connected wherein with CCD sensing equipments,
Ultrasonic listening equipment, is arranged at the side of the sick bed bed board, CCD sensing equipments, positioned at the side of sick bed bed board；With
And the sick bed further comprises：
Wireless telecom equipment, is connected with MSP430 microcontrollers, including the sub- equipment of wireless receiving and the sub- equipment of wireless transmission, the nothing
The cloud base station that the signal received is sent to distal end by line communication equipment carries out data processing；
Display device, is connected with MSP430 microcontrollers；
Solar energy detection device
Power supply unit, including solar powered device, storage battery, switching switch and electric pressure converter, switching switch respectively with too
Positive energy detection device, solar powered device are connected with storage battery, and electric pressure converter is connected with switching switch, solar energy electric supplier
The solar powered device of part includes solar energy photovoltaic panel；
Wireless charging device, is connected with solar energy detection device, storage battery and electric pressure converter connects, wireless charging device respectively
Including wireless charging terminal, wireless charging device is connected with wireless charging terminal wireless；
Gray processing processing equipment, is connected with CCD sensing equipments；
Contrast strengthens equipment, is connected with gray processing processing equipment；
Change of scale strengthens equipment, is connected with contrast enhancing equipment；
Edge strengthens equipment, is connected with change of scale enhancing equipment；
Haar wavelet filterings equipment, Daubechies wavelet filterings equipment, adaptive recursive filtering equipment and image compare equipment,
Wherein image compare equipment respectively with edge enhancing equipment, Haar wavelet filterings equipment, Daubechies wavelet filterings equipment and
Adaptive recursive filtering equipment connection；
Equipment and static state are deposited compared with image respectively for static storage device, binary conversion treatment equipment, wherein binary conversion treatment equipment
Store up equipment connection；
Object detection apparatus, is connected with binary conversion treatment equipment and static storage device respectively；
Target identification equipment, is connected with static storage device and object detection apparatus respectively；
Air cushion, remains in below sick bed and is in contraction state, spring equipment, is connected with MSP430 microcontrollers and is arranged on gas
On pad, inflator pump, is connected with spring equipment, MSP430 microcontrollers and air cushion respectively；
Weight rate detection device, positioned at sick bed bed board downside position, including weight detector and timer；
Wherein MSP430 microcontrollers are set with CCD sensing equipments, spring equipment, weight rate detection device, target identification respectively
It is standby to be connected with ultrasonic detecting equipment.
2. sick bed according to claim 1, it is characterised in that：
The ultrasonic listening equipment is used to detect whether that object passes through from the side of sick bed bed board, and is being detected with object
When passing through from the side of sick bed bed board, send object and skim over signal；
The wireless telecom equipment be used for receive fall trigger signal or fall pre-warning signal when pass through wireless communication link
The trigger signal that will fall or the pre-warning signal that falls；
The display device is used to show and trigger signal or the corresponding text information of the pre-warning signal that falls of falling；
The solar energy detection device is used to detect current solar energy intensity in real time；
During the power supply unit work, when the insufficient and current solar energy intensity of the remaining capacity of storage battery is strong optionally greater than default
When spending, solar powered device is switched to be powered by solar powered device, and electric pressure converter is connected with switching switch, will
The 5V voltage conversions inputted by switching switch are 3.3V voltages；
During the wireless charging device work, when the insufficient and current solar energy intensity of the remaining capacity of storage battery is strong less than default
When spending, establish and connected to start wireless charging operation with neighbouring wireless charging terminal；
The CCD sensing equipments are shot to obtain high definition side image backwards to ward bed side with horizontal shooting direction；
The gray processing processing equipment, for receiving high definition side image, and performs high definition side image gray processing processing, with
Obtain gray level image；
The contrast enhancing equipment is used to receive gray level image, and carries out contrast enhancement processing to gray level image, with
Obtain the first enhancing image；
The change of scale enhancing equipment is used to receive the first enhancing image, and carries out change of scale enhancing to the first enhancing image
Processing, to obtain the second enhancing image；
The edge enhancing equipment is used to receive the second enhancing image, and carries out edge enhancing processing to the second enhancing image, with
Obtain the 3rd enhancing image；
Described image compares equipment and is used to export target filtering image, strengthens image when receiving the 3rd from edge enhancing equipment
When, first start Haar wavelet filterings equipment and processing is filtered to obtain the first filtering image to the 3rd enhancing image, determine the
Mean square error between one filtering image and the 3rd enhancing image is using as the first mean square error, when the first mean square error is less than etc.
When default square mean error amount, export the first filtering image as target filtering image, preset when the first mean square error is more than
During square mean error amount, start Daubechies wavelet filterings equipment and processing is filtered to the 3rd enhancing image to obtain the second filter
Ripple image, determines the mean square error between the second filtering image and the 3rd enhancing image using as the second mean square error, when second
Mean square error is less than or equal to pre-；If during square mean error amount, exported the second filtering image as target filtering image, when second equal
When square error is more than default square mean error amount, continue to start adaptive recursive filtering equipment that place is filtered to the 3rd enhancing image
Reason determines mean square error between the 3rd filtering image and the 3rd enhancing image using equal as the 3rd to obtain the 3rd filtering image
Square error, when the 3rd mean square error is less than or equal to default square mean error amount, using the 3rd filtering image as target filtering image
Output, when the 3rd mean square error is more than default square mean error amount, determines between the second filtering image and the 3rd enhancing image
Mean square error is as the second mean square error, to select numerical value in the first mean square error, the second mean square error and the 3rd mean square error
Filtering image corresponding to minimum mean square error as the output of target filtering image, be then turned off Haar wavelet filterings equipment,
Daubechies wavelet filterings equipment and adaptive recursive filtering equipment；
The Haar wavelet filterings equipment is used for the 3rd enhancing image using at the wavelet filtering based on 2 rank Haar wavelet basis
Reason, to obtain the first filtering image；
The Daubechies wavelet filterings equipment is used to use based on 2 rank Daubechies wavelet basis the 3rd enhancing image
Wavelet filtering processing, to obtain the second filtering image；
The adaptive recursive filtering equipment, for performing adaptive-filtering processing to the 3rd enhancing image, to obtain the 3rd filter
Ripple image；
The binary conversion treatment equipment is used to black and white threshold value compare the gray value of each pixel of target filtering image respectively
Compared with when the gray value of pixel is more than black and white threshold value, pixel being denoted as white pixel, when the gray value of pixel is less than black and white threshold value
When, pixel is denoted as black picture element, so as to obtain binary image；
The object detection apparatus is used for the number for calculating binary image each column black picture element, by the number of black picture element
Row more than or equal to threshold number of pixels are denoted as edge columns, are additionally operable to calculate binary image the number of often row black picture element, will
The row that the number of black picture element is more than or equal to threshold number of pixels is denoted as edge lines, using the region that edge columns and edge lines interweave as
Target domain of the existence, and target domain of the existence is partitioned into be exported as target subgraph from binary image；
The target identification equipment is used for the high definition side image based on the shooting of CCD sensing equipments and judges that ward bed side whether there is
Human body, target subgraph is matched with each benchmark human body image, and successful match is then sent there are human body signal, is matched and is lost
Lose, send no human body signal；
The spring equipment be used for receive fall trigger signal when, air cushion is ejected into sick bed from sick bed lower position level
Side, and send spring operation after the horizontal pop-up of air cushion and complete signal；
The inflator pump be used for receive fall trigger signal and receive spring operation complete signal when, according to preset inflation
Capacity is inflated air cushion；
The air cushion, before spring equipment does not receive trigger signal of falling, remains in below sick bed and in contraction-like
State, is protected for the human body that falls after inflation to sick bed；
The weight detector is used to detect the load weight on sick bed bed board in real time, and weight rate detection device is based on weight
The output of detector and the output of timer determine the load weight change rate on sick bed bed board, when load weight change rate is more than
During default change rate, weight change pre-warning signal is sent, when load weight change rate is less than or equal to default change rate, sends weight
Amount change normal signal；
The MSP430 microcontrollers are used to set based on the testing result of target identification equipment and ultrasonic listening equipment control spring
It is standby, after weight change pre-warning signal is received, start CCD sensing equipments, then receiving there are human body signal and receiving
When object skims over signal, trigger signal of falling is sent, when receiving no human body signal and receiving object and skim over signal, is sent
Fall pre-warning signal, and does not receive object and skim over signal and receive only there are human body signal, sends the pre-warning signal that falls；
The static storage device, for having prestored each benchmark human body image, each benchmark human body image is to difference
The image that the benchmark human body of the bodily form is shot and obtained in advance, be additionally operable to prestore default square mean error amount, black and white threshold value,
Threshold number of pixels and default change rate.
3. sick bed according to claim 1, it is characterised in that：Static storage device is also connected with power supply unit.
4. sick bed according to claim 1, it is characterised in that：Static storage device is also connected with wireless charging device.
5. sick bed according to claim 1, it is characterised in that：Static storage device is also connected with target identification equipment.
6. sick bed according to claim 1, it is characterised in that：Static storage device also connects with weight rate detection device
Connect.
7. sick bed according to claim 1, it is characterised in that：MSP430 microcontrollers are integrated in together with static storage device
On one piece of integrated circuit plate.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201711318975.9A CN108030608A (en) | 2016-05-24 | 2016-05-24 | A kind of sick bed |
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| Application Number | Priority Date | Filing Date | Title |
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| CN201610351290.3A CN105943273B (en) | 2016-05-24 | 2016-05-24 | Cloud computing system |
| CN201711318975.9A CN108030608A (en) | 2016-05-24 | 2016-05-24 | A kind of sick bed |
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| CN201610351290.3A Active CN105943273B (en) | 2016-05-24 | 2016-05-24 | Cloud computing system |
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| CN109686435A (en) * | 2019-01-08 | 2019-04-26 | 王海燕 | Adaptive medical treatment platform |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN107257530A (en) | 2017-06-06 | 2017-10-17 | 余姚德诚科技咨询有限公司 | Intelligent police car loudspeaker |
| CN107871383A (en) * | 2017-08-01 | 2018-04-03 | 刘太龙 | A kind of electronic security(ELSEC) support method based on communication |
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| CN105943273A (en) | 2016-09-21 |
| CN105943273B (en) | 2018-01-09 |
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