CN108922207A - Wisdom healthcare system based on Internet of Things - Google Patents
Wisdom healthcare system based on Internet of Things Download PDFInfo
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- CN108922207A CN108922207A CN201810800133.5A CN201810800133A CN108922207A CN 108922207 A CN108922207 A CN 108922207A CN 201810800133 A CN201810800133 A CN 201810800133A CN 108922207 A CN108922207 A CN 108922207A
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/07—Controlling traffic signals
- G08G1/08—Controlling traffic signals according to detected number or speed of vehicles
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/07—Controlling traffic signals
- G08G1/087—Override of traffic control, e.g. by signal transmitted by an emergency vehicle
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Abstract
In order to improve the efficiency controlled or regulated that the control of traffic lights blocks road network, the present invention provides a kind of wisdom healthcare system based on Internet of Things, including traffic signals dynamic adaptation system, control subsystem, and medical care transportation subsystem, the control subsystem receives the information of the medical care transportation subsystem transmission and controls medical care transportation subsystem, and adjustment information is fed back to the control subsystem by the traffic signals dynamic adaptation system.Through a large number of experiments, the cost time during the rescue of medical rescue equipment on traffic is current averagely reduces 37%.
Description
Technical field
The present invention relates to road network chocking-up degree control fields, more particularly, to a kind of wisdom medical care based on Internet of Things
System.
Background technique
Modern society has usual preferred example for processing emergency.For example, people pull out phone into 119 phones
The heart, and therefore cause appropriate medical treatment and come to assist with team of ensuring safety.This process is highly developed, but sometimes life and
Property is still seriously damaged or even since emergency relief vehicle is (for example, ambulance, fire fighting truck (fire truck), police
Vehicle (police car), etc.) delayed in traffic and cause damages.And it is known that emergency relief vehicle is caused to postpone
Reason-bad luck traffic condition.So emergency relief vehicle all needs to assist quickly through crowded whenever emergency occurs
Traffic, and quickly reach the destination.
However, urban transportation blocking is to influence the major issue of China's economic development and quality of residents'life.Implement traffic
Signal control strategy is to reduce delay；Publication Real-time Traffic Information is keeping road network dynamic equalization and alleviation to induce vehicle driving
The traffic management measure of traffic jam.Both traffic management measures are with traffic behavior, especially to traffic jam degree
Premised on effective evaluation.
Application No. is the Chinese invention patent applications of CN200810198919.0 to disclose a kind of city based on data characteristics
City's signal controlled junctions traffic condition detection and evaluation method.The data configuration that it uses data transmission unit to transmit is with traffic
Variable density and have stablize minimum vehicle when away from as saturation traffic flow character parameter.However, this method has ignored
The difference of the subjective delay length of driver in vehicle shutdown process, this difference so that when vehicle away from stabilization minimum value be inaccurate
It is true to be even not present, seriously affect the validity of the control duration of traffic lights.This influence greatly influences
Conevying efficiency in medical rescue equipment relief patient procedure.
Summary of the invention
In order to shorten the time that medical rescue equipment is spent in during operation on traffic network, the present invention provides one kind
Wisdom healthcare system based on Internet of Things, including traffic signals dynamic adaptation system, control subsystem and medical care transport
System, the control subsystem receives the information of the medical care transportation subsystem transmission and controls medical care transportation subsystem, described
Adjustment information is fed back to the control subsystem by traffic signals dynamic adaptation system.
Further, the medical care transportation subsystem includes at least two moveable medical rescue equipment, the control
Subsystem passes through traffic signals dynamic according to one of them transport object to be treated of the state of medical rescue equipment selection
Adaptation system shortens haulage time.
Further, the medical rescue equipment includes the first medical rescue equipment and the second medical rescue equipment and described
First medical rescue equipment and the second medical rescue equipment respectively include driving status monitoring unit and GPS navigation unit, institute
It states control subsystem and determines whether that it is necessary to by the patient in the first medical rescue equipment according to the driving status monitoring unit
It is transplanted on the second medical rescue equipment, the GPS navigation unit is for determining and the first medical rescue equipment immediate second
Second medical rescue equipment is simultaneously navigate to the first medical rescue equipment by the position of medical rescue equipment.
Further, the traffic signals dynamic adaptation system is used to set the first medical rescue for transporting the patient
The control signal of the traffic lights in the section where standby or the second medical rescue equipment is adjusted.
Further, the traffic signals dynamic adaptation system includes：
Section traffic information obtains subelement, for monitoring the first medical rescue in medical rescue equipment described in road network
Number of vehicles in section where equipment, the section front and back respectively includes a crossing；
Command and control subelement, for issuing the first prompt information to the first medical rescue equipment according to the number of vehicles
And the second prompt information is issued to traffic control department to assist that crossing will be arrived at described in traffic control department control according to congestion level
Signal lamp.
Further, the section traffic information acquisition subelement includes：
Number of vehicles acquisition submodule will arrive at the vehicle at crossing for obtaining for the 1 to the n-th moment from a upper crossing
Number set { Num (n) }；
First prompt information generates subelement, for generating first prompt information according to number of vehicles.
Further, the command and control subelement includes：
Amendment and prediction subelement, are used to be modified set { Num (n) }, predicted for the (n+1)th moment from a upper crossing
The number of vehicles set { Num (n+1) } at crossing will be arrived at, and will be calculated within a Signalized control period according to prediction result
Red, green light lighting time length ratio；
Subelement is corrected, for being corrected to the ratio；
Second prompt information generation unit, for being blocked up to the second of a upper crossing and the road network that will be arrived between crossing
Plug degree is estimated and generates the second prompt information.
Further, the number of vehicles acquisition submodule includes photoelectric sensor, for detecting between two crossings
Number of vehicles at some position.
Further, the amendment and prediction subelement include amendment and prediction model generation module, are used for：
If being repaired to the 1 to the n-th moment from the number of vehicles set { Num (n) } that a upper crossing will arrive at crossing
The the 1 to the n-th moment just obtained afterwards will arrive at the number of vehicles at crossing for { Num ' (n) }, wherein { Num from a upper crossing
(n) } meet the probability distribution rule of Poisson distribution, wherein n be natural number and n=1,2 ...；
By the joint probability density function C (Num (n), Num ' (n)) of { Num (n) } and { Num ' (n) } be denoted as C (Num,
Num '),
C (Num, Num ') and=Pois (α T1 λ, α T2 λ ..., α Tn λ)=λ [- Pois (N) (λ)+α T1Pois (N-1) (λ)
+ ...+α TNPois (λ)],
Wherein Pois (λ)=e-N λ；N indicates the number of vehicles of the n-th moment Tn；
λ=[n, Num ' (n)] T, [] T indicate that λ is random vector, is handed in short-term according to SVR to [] progress transposition herein
The through-flow modulus value in the sum of the single order item of { Num ' (n) } at the n-th moment this set for predicting to obtain；
{ Num (n) } is modified：
The probability density of { Num ' (n) } under the conditions of { Num (n) } is set again：
P (Num ' | Num)=p (Num ', Num)/p (Num)=Pois (Num ', λ Num ' | Num), wherein
Pois (Num ', λ Num ' | Num) be that mean value is equal to λ Num ' | Num, variance matrix M are
Poisson function, CA, B indicate A and B between cross covariance,
Then
Further, the correction subelement includes：
Ratio obtains module, red, green light lighting time length the ratio of the signal lamp for obtaining the crossing that will be arrived at
Value R [n]；
First chocking-up degree obtains module, for obtaining vehicle at a upper crossing between the crossing that will be arrived at
Section the first chocking-up degree Dcrowd；
Time scale modification module, for being modified to the signal period duration T [n+1] that will arrive at crossing：
WhereinExpression takes integer, Num'[n] indicate that the n-th moment revised will arrive at from a upper crossing
The number of vehicles at crossing, Num'[n+1] indicate the number of vehicles that will arrive at crossing from a upper crossing to the (n+1)th moment
Predict number, BrpreIndicate the turnout number at a crossing, BrnowIndicate that the turnout number at the crossing that will be arrived at, i and j are positive whole
Number.
Further, the second prompt information generation unit includes：
Road network chocking-up degree submodule determines one for the value according to T [n+1] compared with preset threshold set
Crossing and the second road network chocking-up degree between crossing will be arrived at, using the second road network chocking-up degree as the second prompt information.
Beneficial effects of the present invention are：It can be carried out dynamically according to the number of vehicles in the section on road network between traffic lights
Red, green light lighting time length adjustment, and above-mentioned modified warp has been determined according to a large number of experiments of applicant for number of vehicles
Formula is tested, thus by adjusting the ratio of traffic light time length, when so that causing traffic lights to convert due to driver's subjective reason
The chocking-up degree caused by early, evening that starts to walk can be reduced automatically as much as possible.Through a large number of experiments, medical rescue equipment gives first aid to process
In cost time on traffic is current averagely reduce 37%.
Detailed description of the invention
Fig. 1 shows the composition block diagram of wisdom healthcare system of the invention.
Specific embodiment
As shown in Figure 1, preferred embodiment in accordance with the present invention, the wisdom medical care based on Internet of Things that the present invention provides a kind of
System, including traffic signals dynamic adaptation system, control subsystem and medical care transportation subsystem, the control subsystem
It receives the information of the medical care transportation subsystem transmission and controls medical care transportation subsystem, the traffic signals dynamic adjustment subsystem
Adjustment information is fed back to the control subsystem by system.
Preferably, the medical care transportation subsystem includes at least two moveable medical rescue equipment, control
System is adjusted according to one of them transport object to be treated of the state of medical rescue equipment selection by traffic signals dynamic
Whole subsystem shortens haulage time.According to some of preferred embodiments, the medical rescue equipment is ambulance.
Preferably, the medical rescue equipment includes the first medical rescue equipment and the second medical rescue equipment and described the
One medical rescue equipment and the second medical rescue equipment are described respectively including driving status monitoring unit and GPS navigation unit
Control subsystem determines whether that it is necessary to move the patient in the first medical rescue equipment according to the driving status monitoring unit
It is sent to the second medical rescue equipment, the GPS navigation unit is cured for determining with the first medical rescue equipment immediate second
It treats the position of salvage device and the second medical rescue equipment is navigate into the first medical rescue equipment.
Preferably, the traffic signals dynamic adaptation system is used for the first medical rescue equipment for transporting the patient
Or the control signal of the traffic lights in the second section where medical rescue equipment is adjusted.
Preferably, the traffic signals dynamic adaptation system includes：
Section traffic information obtains subelement, for monitoring the first medical rescue in medical rescue equipment described in road network
Number of vehicles in section where equipment, the section front and back respectively includes a crossing；
Command and control subelement, for issuing the first prompt information to the first medical rescue equipment according to the number of vehicles
And the second prompt information is issued to traffic control department to assist that crossing will be arrived at described in traffic control department control according to congestion level
Signal lamp.
Preferably, the section traffic information acquisition subelement includes：
Number of vehicles acquisition submodule will arrive at the vehicle at crossing for obtaining for the 1 to the n-th moment from a upper crossing
Number set { Num (n) }；
First prompt information generates subelement, for generating first prompt information according to number of vehicles.
Preferably, the command and control subelement includes：
Amendment and prediction subelement, are used to be modified set { Num (n) }, predicted for the (n+1)th moment from a upper crossing
The number of vehicles set { Num (n+1) } at crossing will be arrived at, and will be calculated within a Signalized control period according to prediction result
Red, green light lighting time length ratio；
Subelement is corrected, for being corrected to the ratio；
Second prompt information generation unit, for being blocked up to the second of a upper crossing and the road network that will be arrived between crossing
Plug degree is estimated and generates the second prompt information.
Preferably, the number of vehicles acquisition submodule includes photoelectric sensor, for detecting certain between two crossings
Number of vehicles at a position.
Preferably, the number of vehicles at some position between two crossings of the detection including the use of camera and is based on
Car license recognition mode obtains uni-directionally by the number of the vehicle at the position.
Preferably, the amendment and prediction subelement include amendment and prediction model generation module, are used for：
If being repaired to the 1 to the n-th moment from the number of vehicles set { Num (n) } that a upper crossing will arrive at crossing
The the 1 to the n-th moment just obtained afterwards will arrive at the number of vehicles at crossing for { Num ' (n) }, wherein { Num from a upper crossing
(n) } meet the probability distribution rule of Poisson distribution, wherein n be natural number and n=1,2 ...；
By the joint probability density function C (Num (n), Num ' (n)) of { Num (n) } and { Num ' (n) } be denoted as C (Num,
Num '),
C (Num, Num ') and=Pois (α T1 λ, α T2 λ ..., α Tn λ)=λ [- Pois (N) (λ)+α T1Pois (N-1) (λ)
+ ...+α TNPois (λ)],
Wherein Pois (λ)=e-N λ；N indicates the number of vehicles of the n-th moment Tn；
λ=[n, Num ' (n)] T, [] T indicate that λ is random vector, is handed in short-term according to SVR to [] progress transposition herein
The through-flow modulus value in the sum of the single order item of { Num ' (n) } at the n-th moment this set for predicting to obtain；
{ Num (n) } is modified：
The probability density of { Num ' (n) } under the conditions of { Num (n) } is set again：
P (Num ' | Num)=p (Num ', Num)/p (Num)=Pois (Num ', λ Num ' | Num), wherein
Pois (Num ', λ Num ' | Num) be that mean value is equal to λ Num ' | Num, variance matrix M are
Poisson function, CA, B indicate A and B between cross covariance,
Then
Preferably, the correction subelement includes：
Ratio obtains module, red, green light lighting time length the ratio of the signal lamp for obtaining the crossing that will be arrived at
Value R [n]；
First chocking-up degree obtains module, for obtaining vehicle at a upper crossing between the crossing that will be arrived at
Section the first chocking-up degree Dcrowd；
Time scale modification module, for being modified to the signal period duration T [n+1] that will arrive at crossing：
WhereinExpression takes integer, Num'[n] indicate that the n-th moment revised will arrive at from a upper crossing
The number of vehicles at crossing, Num'[n+1] indicate the number of vehicles that will arrive at crossing from a upper crossing to the (n+1)th moment
Predict number, BrpreIndicate the turnout number at a crossing, BrnowIndicate that the turnout number at the crossing that will be arrived at, i and j are positive whole
Number.
Preferably, the second prompt information generation unit includes：
Road network chocking-up degree submodule determines one for the value according to T [n+1] compared with preset threshold set
Crossing and the second road network chocking-up degree between crossing will be arrived at, using the second road network chocking-up degree as the second prompt information.
The above-described embodiments merely illustrate the principles and effects of the present invention, and is not intended to limit the present invention.It is any ripe
The personage for knowing this technology all without departing from the spirit and scope of the present invention, carries out modifications and changes to above-described embodiment.Cause
This, institute is complete without departing from the spirit and technical ideas disclosed in the present invention by those of ordinary skill in the art such as
At all equivalent modifications or change, should be covered by the claims of the present invention.
Claims (10)
1. a kind of wisdom healthcare system based on Internet of Things, which is characterized in that including traffic signals dynamic adaptation system, control
Subsystem and medical care transportation subsystem, the control subsystem receive the information of the medical care transportation subsystem transmission and control
Adjustment information is fed back to the control subsystem by medical care transportation subsystem processed, the traffic signals dynamic adaptation system.
2. wisdom healthcare system according to claim 1, which is characterized in that the medical care transportation subsystem includes at least two
A moveable medical rescue equipment, the control subsystem is according to one of them fortune of the state of medical rescue equipment selection
Defeated object to be treated, and haulage time is shortened by traffic signals dynamic adaptation system.
3. wisdom healthcare system according to claim 2, which is characterized in that the medical rescue equipment includes the first medical treatment
Salvage device and the second medical rescue equipment and the first medical rescue equipment and the second medical rescue equipment respectively include
Driving status monitoring unit and GPS navigation unit, the control subsystem determine whether according to the driving status monitoring unit
It is necessary to which the patient in the first medical rescue equipment is transplanted on the second medical rescue equipment, the GPS navigation unit is for true
Determine the position with the immediate second medical rescue equipment of the first medical rescue equipment and navigates to the second medical rescue equipment
First medical rescue equipment.
4. wisdom healthcare system according to claim 3, which is characterized in that the traffic signals dynamic adaptation system is used
In the traffic lights to the section where the first medical rescue equipment or the second medical rescue equipment of transporting the patient
Control signal is adjusted.
5. wisdom healthcare system according to claim 4, which is characterized in that the traffic signals dynamic adaptation system packet
It includes：
Section traffic information obtains subelement, for monitoring the first medical rescue equipment in medical rescue equipment described in road network
Number of vehicles in the section of place, the section front and back respectively includes a crossing；
Command and control subelement, for issuing the first prompt information and root to the first medical rescue equipment according to the number of vehicles
The second prompt information is issued to assist the signal that will arrive at crossing described in traffic control department control to traffic control department according to congestion level
Lamp.
6. wisdom healthcare system according to claim 5, which is characterized in that the section traffic information obtains subelement packet
It includes：
Number of vehicles acquisition submodule will arrive at the number of vehicles at crossing for obtaining for the 1 to the n-th moment from a upper crossing
Gather { Num (n) }；
First prompt information generates subelement, for generating first prompt information according to number of vehicles.
7. wisdom healthcare system according to claim 6, which is characterized in that the command and control subelement includes：
Amendment and prediction subelement, for being modified to set { Num (n) }, the (n+1)th moment of prediction will from a upper crossing
The number of vehicles set { Num (n+1) } at crossing is arrived at, and is calculated within a Signalized control period according to prediction result
Red, green light lighting time length ratio；Subelement is corrected, for being corrected to the ratio；
Second prompt information generation unit, for blocking journey to the second of a upper crossing and the road network that will be arrived between crossing
Degree is estimated and generates the second prompt information.
8. wisdom healthcare system according to claim 7, which is characterized in that the number of vehicles acquisition submodule includes light
Electric transducer, for detecting the number of vehicles at some position between two crossings.
9. wisdom healthcare system according to claim 7 or 8, which is characterized in that it is described amendment with predict subelement include
Amendment and prediction model generation module, are used for：
If after being modified to the 1 to the n-th moment from the number of vehicles set { Num (n) } that a upper crossing will arrive at crossing
The the 1 to the n-th obtained moment will arrive at the number of vehicles at crossing for { Num ' (n) }, wherein { Num (n) } from a upper crossing
Meet the probability distribution rule of Poisson distribution, wherein n be natural number and n=1,2 ...；
The joint probability density function C (Num (n), Num ' (n)) of { Num (n) } and { Num ' (n) } are denoted as C (Num, Num '),
C (Num, Num ')=Pois (αT1λ,αT2λ,…,αTnλ)=λ [- Pois(N)(λ)+αT1Pois(N-1)(λ)+…+αTNPois
(λ)],
Wherein Pois (λ)=e-Nλ；N indicates the number of vehicles of the n-th moment Tn；
λ=[n, Num ' (n)]T, []TIt indicates to carry out transposition to [] herein, λ is random vector, is pre- according to SVR short-term traffic flow
The modulus value in the sum of the single order item of { Num ' (n) } at the n-th moment this set measured；
{ Num (n) } is modified：
The probability density of { Num ' (n) } under the conditions of { Num (n) } is set again：
P (Num ' | Num)=p (Num ', Num)/p (Num)=Pois (Num ', λNum’|Num), wherein Pois (Num ', λNum’|Num)
It is equal to λ for mean valueNum’|Num, variance matrix M bePoisson function, CA, BIt indicates between A and B
Cross covariance,
Then
10. wisdom healthcare system according to claim 9, which is characterized in that the correction subelement includes：
Ratio obtains module, red, green light lighting time length the ratio R of the signal lamp for obtaining the crossing that will be arrived at
[n]；
First chocking-up degree obtains module, for obtaining vehicle at a upper crossing to the road between the crossing that will be arrived at
First chocking-up degree Dcrowd of section；
Time scale modification module, for being modified to the signal period duration T [n+1] that will arrive at crossing：
WhereinExpression takes integer, Num'[n] indicate that the n-th moment revised will arrive at crossing from a upper crossing
Number of vehicles, Num'[n+1] indicate prediction to the number of vehicles that will arrive at crossing from a upper crossing at the (n+1)th moment
Number, BrpreIndicate the turnout number at a crossing, BrnowIndicate the turnout number at the crossing that will be arrived at, i and j are positive integer；
The second prompt information generation unit includes road network chocking-up degree submodule, is used for value and default threshold according to T [n+1]
The comparison of value set determines a crossing and will arrive at the second road network chocking-up degree between crossing, the second road network is blocked up
Plug degree is as the second prompt information.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201810800133.5A CN108922207A (en) | 2018-07-19 | 2018-07-19 | Wisdom healthcare system based on Internet of Things |
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|---|---|---|---|
| CN201810800133.5A CN108922207A (en) | 2018-07-19 | 2018-07-19 | Wisdom healthcare system based on Internet of Things |
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Application publication date: 20181130 |