CN109451570B - A kind of the efficiency optimization method and its optimization equipment of laboratory management system for internet of things - Google Patents
A kind of the efficiency optimization method and its optimization equipment of laboratory management system for internet of things Download PDFInfo
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W52/00—Power management, e.g. TPC [Transmission Power Control], power saving or power classes
- H04W52/04—TPC
- H04W52/18—TPC being performed according to specific parameters
- H04W52/24—TPC being performed according to specific parameters using SIR [Signal to Interference Ratio] or other wireless path parameters
- H04W52/241—TPC being performed according to specific parameters using SIR [Signal to Interference Ratio] or other wireless path parameters taking into account channel quality metrics, e.g. SIR, SNR, CIR, Eb/lo
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W52/00—Power management, e.g. TPC [Transmission Power Control], power saving or power classes
- H04W52/04—TPC
- H04W52/18—TPC being performed according to specific parameters
- H04W52/26—TPC being performed according to specific parameters using transmission rate or quality of service QoS [Quality of Service]
- H04W52/267—TPC being performed according to specific parameters using transmission rate or quality of service QoS [Quality of Service] taking into account the information rate
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W52/00—Power management, e.g. TPC [Transmission Power Control], power saving or power classes
- H04W52/04—TPC
- H04W52/38—TPC being performed in particular situations
- H04W52/46—TPC being performed in particular situations in multi hop networks, e.g. wireless relay networks
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W72/00—Local resource management
- H04W72/50—Allocation or scheduling criteria for wireless resources
- H04W72/54—Allocation or scheduling criteria for wireless resources based on quality criteria
- H04W72/542—Allocation or scheduling criteria for wireless resources based on quality criteria using measured or perceived quality
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B17/00—Monitoring; Testing
- H04B17/30—Monitoring; Testing of propagation channels
- H04B17/391—Modelling the propagation channel
- H04B17/3911—Fading models or fading generators
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W52/00—Power management, e.g. TPC [Transmission Power Control], power saving or power classes
- H04W52/02—Power saving arrangements
- H04W52/0209—Power saving arrangements in terminal devices
- H04W52/0225—Power saving arrangements in terminal devices using monitoring of external events, e.g. the presence of a signal
- H04W52/0235—Power saving arrangements in terminal devices using monitoring of external events, e.g. the presence of a signal where the received signal is a power saving command
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W52/00—Power management, e.g. TPC [Transmission Power Control], power saving or power classes
- H04W52/02—Power saving arrangements
- H04W52/0209—Power saving arrangements in terminal devices
- H04W52/0225—Power saving arrangements in terminal devices using monitoring of external events, e.g. the presence of a signal
- H04W52/0248—Power saving arrangements in terminal devices using monitoring of external events, e.g. the presence of a signal dependent on the time of the day, e.g. according to expected transmission activity
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D30/00—Reducing energy consumption in communication networks
- Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks
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Abstract
The invention belongs to laboratory equipment optimisation technique fields, and in particular to a kind of the efficiency optimization method and its optimization equipment of laboratory management system for internet of things.Laboratory management system for internet of things includes that laboratory device numbering to be managed is i1, i2, i3 ... ..in, wherein n represents the serial number of equipment, relay system, server, first terminal and the second terminal in each laboratory can be connected, first terminal connects WEB terminal for server, and second terminal connects control terminal for server；Laboratory management system for internet of things carries out efficiency optimization by the energy consumption of control equipment.The present invention carries out power configuration by two terminals connected to server to carry out efficiency optimization, equipment, first terminal and the second terminal to be managed for laboratory carries out efficiency optimization according to different property, design is reasonable, creativeness proposes efficiency optimization method, reasonable energy saving improves degree of safety.
Description
Technical field
The invention belongs to laboratory equipment optimisation technique fields, and in particular to a kind of energy of laboratory management system for internet of things
Imitate optimization method and its optimization equipment.
Background technique
Laboratory is the cradle of the training of personnel, is the birthplace of technological development while being also that school realizes scientific research and teaching
Important base.Therefore colleges and universities are particularly important to the management of school duty room.School duty room has only been managed, it could be smoothly
Carry out scientific research activity, could make experiment is more accurate to obtain accurate and important conclusion in turn.
Nowadays the emphases of supervision in college teaching laboratory is concentrated mainly on the following aspects: experiment article and environment item
Part, instrument and equipment and Lab Manager, key problem be how system management it is good these aspect the problems of.Phase
Than traditional laboratory room managing stage, laboratory room managing more scientificization of today and modernization.The laboratory of most of colleges and universities
Management system is comparatively than more complete, but still there are also many insufficient drawn games for this present this management system
It is sex-limited.Consider in terms of system, nowadays it is important to be generally considered that laboratory teaching is far from theory teaching by people, is not
Take much count of laboratory；And this laboratory room managing does not realize complete automatic management, many operations or needs are artificial
It is counted and is recorded, especially if school needs to establish new school district, just have to realize relocation equipment, inspection of assets
With it is expired scrap equal whens, these work require to check the data and information of equipment, and which not only adds administrators
The workload of member, and data information is be easy to cause mistake occur；Third just allows for safe problem, because can not be real-time
Understanding equipment information, so being easy to happen accident during experimental teaching.So this project is proposed with Internet of Things
Based on Design of Laboratory Management System be just able to solve above-mentioned mentioned problem, the management of such Scientific Research in University Laboratory can just become
It is efficiently and intelligent.
Nowadays technology of Internet of things is in continuous development and mature, the not only relevant theoretical research that people are considered, more
Be since technology maturation can allow daily life more convenient.And Internet of Things can grow up, the most important is exactly to improve
The accuracy that electronic tag is read.So the core of this system is can to improve and improve the technology for collecting information step by step.By
In can be realized quickly positioning and locating function, the application of Internet of Things has high very well validity and practicability.This system
It can be provided to client and easily live, can satisfy the individual demand of client, therefore can be very good to meet the requirements.
System manager is the highest manager of right.Its groundwork is to realize monitoring data, detection operating, maintenance function
It can and configure system.And the administrative staff in laboratory its work is mainly to complete information management, workload by this system
Statistics and the management of equipment etc..Realization education activities that can be more harmonious to teacher and student, must just be reserved in advance
Management and course scheduling management.The tracking and inquiry to its information of equipment can be easily realized very much in this way, and can produce corresponding
Report etc..By this system, teacher can be ready in advance for experimental situation, understand instrument and experiment in advance
The correlation circumstance of equipment, and can be realized on the net to student attendance and experiment arrangement, curriculums inquiry, laboratory report and achievement
The understanding of situations such as inquiry.Student can be completed in this system online booking and experimental design, the submission of report and inquiry,
Laboratory information inquiry, online exchange and notice reception etc..The design concept of this system changes traditional artificial management
Mode makes way to manage tend to intelligent.Consider from equipment, the storage of equipment and outbound such as use and repair all become at the processes
It must automate, write-in and reading, the statistics and analysis of facility information may be implemented；Consider in terms of for teaching, Xue Shengneng
Enough pass through this system queries to the specific position in laboratory and registration experiment can be shifted to an earlier date, and teacher can pass through this
System inquires the test situation and attendance and the arrangement situation of experiment of student；Administrator can utilize this system pair
The correlation circumstance in laboratory, as the temperature and environment in laboratory, facility information, student information and teacher's information of teaching have a reality
When control.In simple terms, this system makes the management of Scientific Research in University Laboratory increasingly modernized and technicalization.
However how to optimize laboratory system, improving system energy efficiency is to laboratory save the cost, control
The exclusive requirement proposed safely.
Summary of the invention
It is an object of the invention to propose it is a kind of can save the cost, control loss laboratory management system for internet of things
Efficiency optimization method and its optimization equipment.
The object of the present invention is achieved like this:
A kind of efficiency optimization method of laboratory management system for internet of things, laboratory management system for internet of things includes laboratory
Equipment to be managed, the number of laboratory equipment to be managed are i1, and i2, i3 ... ..in, wherein n represents the sequence of equipment
Number, the relay system A that can be wirelessly connected each laboratory, server B, first terminal C and second terminal D, the first terminal C use
WEB terminal is connected in the server, the second terminal D connects control terminal for the server；The laboratory Internet of Things
Management system carries out efficiency optimization by controlling the energy consumption of the equipment, specifically includes:
(1) its parameter information list is sent to the relay system A by each laboratory equipment to be managed, described
Parameter information list includes perception signal-to-noise ratio, transmission rate and the transimission power of respective channels；
(2) the parameter information list that the server B is sent according to the relay system A, pipe is waited in Binding experiment room
The transmission demand of the equipment of reason is planned, is the power that laboratory equipment distribution to be managed needs, and distribution is tied
Fruit is sent to the relay system A, and allocation result is sent to laboratory equipment to be managed by the relay system A；
(3) server B detects the idle channel of the first terminal C and the second terminal D；
(4) server B is that the first terminal C and second terminal D is distributed according to the idle channel detected
Suitable channel and corresponding transmission time, and by final allocation plan be sent to transmission demand the first terminal C and
Second terminal D need to only be sent without channel distribution if without idle channel to the first terminal C and second terminal D
Without free channel information；
(5) the first terminal C and second terminal D is transmitted according to the final allocation plan access channel,
If receiving the information of no idle channel, dormant state is switched to until next cycle arrives.
In one embodiment, the determining step of the final allocation plan includes:
(1.1) the M first terminal C and N number of second terminal D, the first terminal C and described second are equipped with eventually
The set of end D respectively indicates are as follows:
α={ 1,2,3 ... M }；
β={ 1,2,3 ... N }；
The first terminal C and second terminal D shares M uplink frequency spectrum resource block；
The channel model of laboratory management system for internet of things link are as follows:
N=| μ |2b-β；
μ is the multipath fading value of link, and Rayleigh distributed, μ~CN (0,1), b indicate laboratory Internet of Things management system
The transmitting terminal of equipment is at a distance from receiving end in system；β is link loss index；
(1.2) the signal-to-noise ratio SI for occupying the first terminal j and the second terminal i of j-th of frequency spectrum jointly is calculated；
Indicate the first terminal to the server B transmission power,Indicate the second terminal to its signal
The transmission power of receiving end,Indicate the first terminal to the server B channel；Indicate that the second terminal i is arrived
The channel of its signal receiving end,Indicate the second terminal to the multiplexing status of the first terminal frequency spectrum resource；M0It indicates
System noise power；
(1.3) spectrum efficiency for occupying the first terminal j and the second terminal i of j-th of frequency spectrum jointly is calculated；
ej=log2(1+SIj)；
ei=log2(1+SIi)；
(1.4) total power consumption for occupying the first terminal j and the second terminal i of j-th of frequency spectrum jointly is calculated；
Wj=wj+Ec；
Wi=wi+Ec；
wjFor the transmission power of the first terminal j, wiFor the transmission power of the second terminal i；Ec is each equipment
Circuit power；
(1.5) the total energy effect of the first terminal C and second terminal D is calculated:
(1.6) the total energy effect of the first terminal C and second terminal D is simulated, finds out and is respectively set under minimum value
Standby best power consumption values.
In one embodiment, the energy consumption of laboratory equipment to be managed optimizes by the following method:
(2.1) the conventional energy consumption of computing laboratory equipment to be managed:
PzFor the intrinsic circuit power in laboratory；Pzt(i) transmission function when being worked for laboratory equipment i to be managed
Rate；Pk(i) for laboratory equipment i free time to be managed transimission power when；T is the unit time；TztIt is to be managed for laboratory
The time that equipment works；TkFor the time of laboratory equipment free time to be managed；
(2.2) probability of the idle mode of computing laboratory equipment to be managed:
pk(i)=(1-pb(i))(1-p(i))；
pbIt (i) is the buffer non-empty probability of laboratory equipment i to be managed；P (i) is laboratory equipment i to be managed
Standard work probability；
(2.3) probability of the operating mode of computing laboratory equipment to be managed:
pzt(i)=p (i)+(p (i) -1) pb(i)；
(2.4) the communication efficiency of computing laboratory equipment to be managed are as follows:
η is the communication arrival rate of laboratory equipment to be managed:
For the average length of communication data；For laboratory energy consumption mean power；TSFor laboratory channel communication time；
(2.5) the communication efficiency of the equipment to be managed to laboratory is simulated, and finds out laboratory equipment to be managed
Minimum value reaches the best power consumption values of system.
In one embodiment, by the relay system A and the server B to the transmission process of equipment to be optimized into
Row monitoring, specific method include:
(3.1) set the coordinate of iu to be optimized as (Xiu, Yiu), if the coordinate of associated m equipment to be optimized be (X1,
Y1), (Xm, Ym), m >=3 (X2, Y2) ...；
The associated equipment to be optimized is equipment that is to be optimized and being in a relay system together；
(3.2) this is to be optimized with the Euclidean distance of associated m equipment are as follows:
Above formula derive:
The formula by simplifying structure is carried out that coordinate to be optimized is calculated:
(3.3) iu to be optimized and the relay system A distance r are set, path loss communication distance is r0；Receive power
Average value is P (r0)；The transimission power of iu to be optimized is Pzt(i)；Then:
β is propagation path loss index, obtains the iu and relay system A distance r to be optimized by calculating；
(3.4) the laboratory equipment ix and iu distance s that can obtain iu signal of communication to be optimized is calculated；
s0It is laboratory equipment ix at a distance from known device ip signal of communication, XσIt is followed the example of for being just distributed very much for random value,
Standard deviation is [4,10], and b (i) is loss index of the signal of laboratory equipment to be managed in transmission process；G0 be to
The raw signal strength recorded between optimization iu and laboratory equipment ix；
(3.5) pass through the coordinate of iu to be optimized, iu to be optimized and laboratory relay system A distance r and can obtain
The comprehensive position for determining equipment to be optimized the laboratory equipment ix and iu distance s of iu signal of communication to be optimized.
In one embodiment, the transmission power specific steps packet when first terminal C and second terminal D works is obtained
It includes:
(4.1) the first terminal C and second terminal D is collected by the first terminal C and second terminal D
The set of work value is done in transmission when work, to include the biography under a certain number of different times and different working modes in set
Defeated to do work value, M ' is a to transmit the set ζ for doing the matrix of work value, and each matrix is expressed as the matrix σ of m ' * n 'i；
(4.2) matrix N of the first terminal C and second terminal D transmission acting is detected ', N '=A 'TA'；
A '=[ρ1, ρ2..., ρM]
ρiWork value is done for the first terminal C and the second terminal D difference changed over time,
ρi=σi- τ,
It matrix in traversal set ζ and adds up, then takes its average value to get to being averagely work value τ
The feature vector and characteristic value of calculating matrix N, feature vector μkFor the first terminal C and the second terminal
The difference that D is changed over time is work value ρiDistribution law, characteristic value
And select the corresponding feature vector of M characteristic value wherein with highest correlation；
(4.3) the acting value set of combined standard generates feature acting pattern vector
Ωi=μk T(σi-τ)；
I=1,2 ... M；
(4.4) transmission power for finally determining the first terminal C and second terminal D is Ωiλk。
In one embodiment, laboratory management system for internet of things include laboratory device numbering to be managed be i1, i2,
I3 ... ..in, wherein n represents the serial number of equipment, can be wirelessly connected each laboratory relay system A, server B, the first terminal
The C and second terminal D, the first terminal C connect WEB terminal for the server, and the second terminal D is used for the clothes
Business device connects control terminal；The laboratory management system for internet of things carries out efficiency optimization by the energy consumption of control above equipment,
Be characterized in that: at the relay system A, its parameter information list is sent in described by each laboratory equipment to be managed
After system A, the parameter information list includes perception signal-to-noise ratio, transmission rate and the transimission power of respective channels；The clothes
The transmission demand of the parameter information list that business device B is sent according to the relay system A, Binding experiment room equipment to be managed carries out
After planning, the power needed is distributed for laboratory equipment to be managed and allocation result result is sent to the relay system A,
Allocation result is sent to laboratory equipment to be managed by relay system A；The server B detects the first terminal C and institute
State the idle channel of second terminal D；The server B is the first terminal C and described the according to the idle channel detected
Two terminal Ds distribute suitable channel and corresponding transmission time, and final allocation plan is sent to described in transmission demand
The first terminal C and second terminal D, without channel distribution if no idle channel, only need to the first terminal C and
The second terminal D sends the information without idle channel；The first terminal C and the second terminal D connect according to allocation plan
Enter channel to be transmitted, if receiving the information of no idle channel, switches to dormant state until next cycle arrives.
In one embodiment, the determining step of the final allocation plan includes:
Equipped with M first terminal C and N number of second terminal D, the first terminal C and the second terminal D
Set respectively indicates are as follows:
α={ 1,2,3 ... M }；
β={ 1,2,3 ... N }；
The first terminal C and second terminal D shares M uplink frequency spectrum resource block；
The channel model of laboratory management system for internet of things link are as follows:
N=| μ |2b-β；
μ is the multipath fading value of link, and Rayleigh distributed, μ~CN (0,1), b indicate laboratory Internet of Things management system
The transmitting terminal of equipment is at a distance from receiving end in system；β is link loss index；
Calculate the signal-to-noise ratio SI for occupying the first terminal j and the second terminal i of j-th of frequency spectrum jointly；
Pj cIndicate the first terminal C to the server B transmission power,Indicate the second terminal D to its letter
The transmission power of number receiving end,Indicate the first terminal C to the server B channel；Indicate the second terminal
I to its signal receiving end channel,Indicate the second terminal D to the multiplexing status of the first terminal C frequency spectrum resource；
M0Indicate system noise power；
Calculate the spectrum efficiency for occupying the first terminal j and the second terminal i of j-th of frequency spectrum jointly；
ej=log2(1+SIj)；
ei=log2(1+SIi)；
Calculate the total power consumption for occupying the first terminal j and the second terminal i of j-th of frequency spectrum jointly；
Wj=wj+Ec；
Wi=wi+Ec；
wjFor the transmission power of the first terminal j, wiFor the transmission power of the second terminal i；Ec is each equipment
Circuit power；
Calculate the total energy effect of the first terminal C and second terminal D:
The total energy effect of the first terminal C and second terminal D is simulated, finds out under minimum value each equipment most
Good power consumption values；
The acquisition of transmission power when the first terminal C and the second terminal D are worked, method specific steps packet
It includes:
The first terminal C and second terminal D work is collected by the first terminal C and second terminal D
When transmission do the set of work value, to include that transmission under a certain number of different times and different working modes be done in set
Work value, M ' is a to transmit the set ζ for doing the matrix of work value, and each matrix is expressed as the matrix σ of m ' * n 'i；
Detect the matrix N of the first terminal C and second terminal D transmission acting ',
N '=A 'TA'；
A '=[ρ1, ρ2..., ρM]
ρiWork value is done for the first terminal C and the second terminal D difference changed over time,
ρi=σi- τ,
It matrix in traversal set ζ and adds up, then takes its average value to get to being averagely work value τ
The feature vector and characteristic value of calculating matrix N, feature vector μkFor the first terminal C and the second terminal
The difference that D is changed over time is work value ρiDistribution law, characteristic value
And select the corresponding feature vector of M characteristic value wherein with highest correlation；
The acting value set of combined standard generates feature acting pattern vector
Ωi=μk T(σi-τ)；
I=1,2 ... M；
The transmission power for finally determining the first terminal C and second terminal D is Ωiλk。
This system carries out efficiency optimization, under same relay system, each laboratory by the energy consumption of control above equipment
Its parameter information list is sent to relay system A by equipment to be managed, which includes the perception of respective channels
Signal-to-noise ratio, transmission rate and transimission power；The parameter information list that server B is sent according to relay system A, Binding experiment room
After the transmission demand of equipment to be managed is planned, it is the power that laboratory equipment matching to be managed needs and ties distribution
Fruit result is sent to relay system A, and allocation result is sent to laboratory equipment to be managed by relay system A, and to carry out efficiency excellent
Change；Idle channel of the server B to J detection first terminal C and second terminal D；Server B according to the idle channel detected,
Suitable channel and corresponding transmission time are distributed for first terminal C and second terminal D, and final allocation plan has been sent to
The first terminal C and second terminal D of transmission demand, without channel distribution if without idle channel, only need to first terminal C and
Second terminal D is sent without free channel information；First terminal C and second terminal D accesses channel according to allocation plan and is transmitted,
If receiving the information of no idle channel, dormant state is switched to until next cycle arrives.
The beneficial effects of the present invention are: the present invention by two terminals that server is connected carry out power configuration come into
The optimization of row efficiency, equipment, first terminal and the second terminal to be managed for laboratory are excellent according to different property progress efficiencies
Change, rationally, creativeness proposes efficiency optimization method for design, and reasonable energy saving improves degree of safety.
Detailed description of the invention
Fig. 1 is the method for the present invention flow chart；
Fig. 2 is present device schematic diagram.
Specific embodiment
The present invention is described further with reference to the accompanying drawing.
For the present invention based on the three-decker of Internet of Things, this laboratory management system for internet of things need to be in conjunction with specific application
Scene realizes sensing layer, network layer, application layer respectively.Sensing layer: system need to design realization information acquiring portion, pass using wireless
The environmental informations such as temperature, humidity, intensity of illumination, the smokescope in network monitor laboratory are felt to realize to laboratory environment information
Monitoring, while application scanning equipment obtain laboratory facility information；Meanwhile the letter that will be perceived using Radio Transmission Technology
Breath outflow.Transport layer: the design of network layer is completed according to actual application scenarios, need to construct embedded system to complete to perception
The transfer transmission of layer information.Application layer: the data that database storage system is related to and the design for completing application program need to be established.
Internet of things system sensing layer need realize acquisition environmental information real-time acquisition, it does not need excessively high bandwidth, high-speed and
High quality-of-service (Quality of Services, Qo S) supports.But need cheap cost, accurately transmission and compared with
Strong practicability etc..From this angle, which needs to consider following element: (1) inexpensive.Internet of things system is perceiving
Layer be related to a large amount of sensor and microcontroller, Internet of things system number of nodes itself is more in addition, reduce individual node at
This can bring many changes to the cost of system.(2) high reliability.Since Internet of things system can be applied to some important scenes
Information monitoring, such as indoor smog concentration, equipment running status are monitored.This just needs system that can accurately monitor ring in real time
The information monitored is fed back to user in time by border information.High reliability is also Internet of things system in important scenes application value
Embodiment.(3) practicability.To the Internet of things system being related to using interaction, complete function, friendly interface, it is simple it is handy will significantly
The popularization of promotion system.System should be developed to solve the practical problem of life or engineering, and user is allowed to be benefited.(4) may be used
Expansion.In its period for being in a continuous development due to Internet of Things, corresponding interface should be reserved at the beginning of system design
Facilitate system upgrade；System-level software should also support the upgrading of application software.(5) friendly.The application of Internet of things system
Layer part is related to interaction between user mostly, application layer program design when need to accomplish friendly interface as far as possible,
System is allowed to obtain better user experience.
As shown in Figure 1, a kind of efficiency optimization method of laboratory management system for internet of things, laboratory management system for internet of things
Including laboratory equipment to be managed, the number of laboratory equipment to be managed is i1, i2, i3 ... ..in, and wherein n is represented
The serial number of equipment, the relay system A that each laboratory can be wirelessly connected, server B, first terminal C and second terminal D, described
One terminal C connects WEB terminal for the server, and the second terminal D connects control terminal for the server；The experiment
Room management system for internet of things carries out efficiency optimization by controlling the energy consumption of the equipment, specifically includes:
(1) its parameter information list is sent to the relay system A by each laboratory equipment to be managed, described
Parameter information list includes perception signal-to-noise ratio, transmission rate and the transimission power of respective channels；
(2) the parameter information list that the server B is sent according to the relay system A, pipe is waited in Binding experiment room
The transmission demand of the equipment of reason is planned, is the power that laboratory equipment distribution to be managed needs, and distribution is tied
Fruit is sent to the relay system A, and allocation result is sent to laboratory equipment to be managed by the relay system A；
(3) server B detects the idle channel of the first terminal C and the second terminal D；
(4) server B is that the first terminal C and second terminal D is distributed according to the idle channel detected
Suitable channel and corresponding transmission time, and by final allocation plan be sent to transmission demand the first terminal C and
Second terminal D need to only be sent without channel distribution if without idle channel to the first terminal C and second terminal D
Without free channel information；
(5) the first terminal C and second terminal D is transmitted according to the final allocation plan access channel,
If receiving the information of no idle channel, dormant state is switched to until next cycle arrives.
The step that the final allocation plan determines includes:
(1.1) the M first terminal C and N number of second terminal D, the first terminal C and described second are equipped with eventually
The set of end D respectively indicates are as follows:
α={ 1,2,3 ... M }；
β={ 1,2,3 ... N }；
The first terminal C and second terminal D shares M uplink frequency spectrum resource block；
The channel model of laboratory management system for internet of things link are as follows:
N=| μ |2b-β；
μ is the multipath fading value of link, and Rayleigh distributed, μ~CN (0,1), b indicate laboratory Internet of Things management system
The transmitting terminal of equipment is at a distance from receiving end in system；β is link loss index；
(1.2) the signal-to-noise ratio SI for occupying the first terminal j and the second terminal i of j-th of frequency spectrum jointly is calculated；
Indicate the first terminal to the server B transmission power,Indicate the second terminal to its signal
The transmission power of receiving end,Indicate the first terminal to the server B channel；Indicate that the second terminal i is arrived
The channel of its signal receiving end,Indicate the second terminal to the multiplexing status of the first terminal frequency spectrum resource；M0It indicates
System noise power；
(1.3) spectrum efficiency for occupying the first terminal j and the second terminal i of j-th of frequency spectrum jointly is calculated；
ej=log2(1+SIj)；
ei=log2(1+SIi)；
(1.4) total power consumption for occupying the first terminal j and the second terminal i of j-th of frequency spectrum jointly is calculated；
Wj=wj+Ec；
Wi=wi+Ec；
wjFor the transmission power of the first terminal j, wiFor the transmission power of the second terminal i；Ec is each equipment
Circuit power；
(1.5) the total energy effect of the first terminal C and second terminal D is calculated:
(1.6) the total energy effect of the first terminal C and second terminal D is simulated, finds out and is respectively set under minimum value
Standby best power consumption values.
The energy consumption of laboratory equipment to be managed optimizes by the following method:
(2.1) the conventional energy consumption of computing laboratory equipment to be managed:
PzFor the intrinsic circuit power in laboratory；Pzt(i) transmission function when being worked for laboratory equipment i to be managed
Rate；Pk(i) for laboratory equipment i free time to be managed transimission power when；T is the unit time；TztIt is to be managed for laboratory
The time that equipment works；TkFor the time of laboratory equipment free time to be managed；
(2.2) probability of the idle mode of computing laboratory equipment to be managed:
pk(i)=(1-pb(i))(1-p(i))；
pbIt (i) is the buffer non-empty probability of laboratory equipment i to be managed；P (i) is laboratory equipment i to be managed
Standard work probability；
(2.3) probability of the operating mode of computing laboratory equipment to be managed:
pzt(i)=p (i)+(p (i) -1) pb(i)；
(2.4) the communication efficiency of computing laboratory equipment to be managed are as follows:
η is the communication arrival rate of laboratory equipment to be managed:
For the average length of communication data；For laboratory energy consumption mean power；TSFor laboratory channel communication time；
(2.5) the communication efficiency of the equipment to be managed to laboratory is simulated, and finds out laboratory equipment to be managed
Minimum value reaches the best power consumption values of system.
The present invention comprehensively analysis system energy consumption finally proposes the novel efficiency analysis model of a cross layer design.Consider
The state for needing to transmit there are no data to communication system, introduces both of which, i.e., when system has data to need to transmit, place
In transmission mode；Conversely, being in idle mode, system energy consumption composition includes transmission mode, idle mode and intrinsic energy consumption, the party
Formula saves the energy consumption that circuit does not have data to need the case where transmitting, this is provided to improve the efficiency as unit of every joule of bit
Reliable guarantee.In addition, the present invention uses valid model, the data transmit-receive of physical layer and the data of data link layer are combined
Get up, finds the calculation method of an estimation non-empty probability, accurately computing system can be in the probability of different mode and be
System energy consumption.
The transmission process of equipment to be optimized is monitored by the relay system A and the server B, specific method
Include:
(3.1) set the coordinate of iu to be optimized as (Xiu, Yiu), if the coordinate of associated m equipment to be optimized be (X1,
Y1), (Xm, Ym), m >=3 (X2, Y2) ...；
The associated equipment to be optimized is equipment that is to be optimized and being in a relay system together；
(3.2) this is to be optimized with the Euclidean distance of associated m equipment are as follows:
Above formula derive:
The formula by simplifying structure is carried out that coordinate to be optimized is calculated:
(3.3) iu to be optimized and the relay system A distance r are set, path loss communication distance is r0；Receive power
Average value is P (r0)；The transimission power of iu to be optimized is Pzt(i)；Then:
β is propagation path loss index, obtains the iu and relay system A distance r to be optimized by calculating；
(3.4) the laboratory equipment ix and iu distance s that can obtain iu signal of communication to be optimized is calculated；
s0It is laboratory equipment ix at a distance from known device ip signal of communication, XσIt is followed the example of for being just distributed very much for random value,
Standard deviation is [4,10], and b (i) is loss index of the signal of laboratory equipment to be managed in transmission process；G0 be to
The raw signal strength recorded between optimization iu and laboratory equipment ix；
(3.5) pass through the coordinate of iu to be optimized, iu to be optimized and laboratory relay system A distance r and can obtain
The comprehensive position for determining equipment to be optimized the laboratory equipment ix and iu distance s of iu signal of communication to be optimized.
Obtaining the transmission power specific steps when first terminal C and second terminal D works includes:
(4.1) the first terminal C and second terminal D is collected by the first terminal C and second terminal D
The set of work value is done in transmission when work, to include the biography under a certain number of different times and different working modes in set
Defeated to do work value, M ' is a to transmit the set ζ for doing the matrix of work value, and each matrix is expressed as the matrix σ of m ' * n 'i；
(4.2) matrix N of the first terminal C and second terminal D transmission acting is detected ', N '=A 'TA'；
A '=[ρ1, ρ2..., ρM]
ρiWork value is done for the first terminal C and the second terminal D difference changed over time,
ρi=σi- τ,
It matrix in traversal set ζ and adds up, then takes its average value to get to being averagely work value τ
The feature vector and characteristic value of calculating matrix N, feature vector μkFor the first terminal C and the second terminal
The difference that D is changed over time is work value ρiDistribution law, characteristic value
And select the corresponding feature vector of M characteristic value wherein with highest correlation；
(4.3) the acting value set of combined standard generates feature acting pattern vector
Ωi=μk T(σi-τ)；
I=1,2 ... M；
(4.4) transmission power for finally determining the first terminal C and second terminal D is Ωiλk。
Technology is completed through the invention for the collection and read-write of this system data, can be realized the read-write of batch, by
It can be written and read when apart from farther out in the technology of the present invention, therefore logging data information can become to automate, this is very big
The working efficiency of system is improved in degree.By using the technology of the present invention come when realizing management, information can be to some keys
Operation recorded at any time, the information of storage can be backed up in this way, can track and inquire recorded it is related letter
Breath.It is the technology of present system automatic identification used by this system, largely needs not rely on manually, at equipment
When the state of maintenance or lending, label of the present invention can be realized automatic read-write, then send data to background data base,
Whole process can become intelligent.It is sensor technology and present system automatic identification skill used by this system
Art, when either associated change has occurred in facility information to personal information, reader of the present invention can be carried out automation
Reading writing information, and timely send information to background data base.Early warning mechanism.When system detection and background data base institute not phase
The data information of pass will trigger alarm system, improve the safety of Design of Laboratory Management System.
Further, a kind of efficiency of laboratory management system for internet of things optimizes equipment, laboratory management system for internet of things
It is i1 including laboratory device numbering to be managed, i2, i3 ... ..in, wherein n represents the serial number of equipment, can be wirelessly connected each reality
Room relay system A, server B, the first terminal C and the second terminal D are tested, the first terminal C is used for the service
Device connects WEB terminal, and the second terminal D connects control terminal for the server；The laboratory management system for internet of things is logical
The energy consumption for crossing control above equipment carries out efficiency optimization, it is characterised in that: at the relay system A, pipe is waited in each laboratory
Its parameter information list is sent to the relay system A by the equipment of reason, and the parameter information list includes the sense of respective channels
Know signal-to-noise ratio, transmission rate and transimission power；The parameter information list that the server B is sent according to the relay system A,
It is the power that laboratory equipment distribution to be managed needs after the transmission demand of Binding experiment room equipment to be managed is planned
And allocation result result is sent to the relay system A, allocation result is sent to that laboratory is to be managed to be set by relay system A
It is standby；The server B detects the idle channel of the first terminal C and the second terminal D；The server B is according to detection
The idle channel arrived distributes suitable channel and corresponding transmission time for the first terminal C and second terminal D, and
Final allocation plan is sent to the first terminal C and the second terminal D of transmission demand, if no idle channel
Without channel distribution, only the information without idle channel need to be sent to the first terminal C and second terminal D；Described
The one terminal C and second terminal D accesses channel according to allocation plan and is transmitted, if receiving the information of no idle channel,
Dormant state is switched to until next cycle arrives.
It should be pointed out that only the related technology in relation to laboratory safety detection method is described in detail in the present invention, and
Other technologies problem in laboratory system, the means being connect such as equipment with repeater or server, technology, in each equipment
The technical solutions such as the APP used are not described further in the present invention due to being all techniques known.
Claims (5)
1. a kind of efficiency optimization method of laboratory management system for internet of things, laboratory management system for internet of things include that laboratory is waited for
The equipment of management, the number of laboratory equipment to be managed are i1, i2, i3 ... ..in, wherein n represent equipment serial number,
It can be wirelessly connected the relay system A in each laboratory, server B, first terminal C and second terminal D, the first terminal C is used for
The server connects WEB terminal, and the second terminal D connects control terminal for the server；The laboratory Internet of Things network management
Reason system carries out efficiency optimization by controlling the energy consumption of the equipment, which is characterized in that specifically includes:
(1) its parameter information list is sent to the relay system A, the parameter by each laboratory equipment to be managed
Information list includes perception signal-to-noise ratio, transmission rate and the transimission power of respective channels；
(2) the parameter information list that the server B is sent according to the relay system A, Binding experiment room are to be managed
The transmission demand of equipment is planned, is the power that laboratory equipment distribution to be managed needs, and allocation result is sent out
It send to the relay system A, the relay system A and allocation result is sent to laboratory equipment to be managed；
(3) server B detects the idle channel of the first terminal C and the second terminal D；
(4) server B is that the first terminal C and second terminal D distribution is suitable according to the idle channel detected
Channel and corresponding transmission time, and final allocation plan is sent to the first terminal C and second of transmission demand
Terminal D need to only be sent to the first terminal C and second terminal D without sky without channel distribution if without idle channel
Idle channel information；
(5) the first terminal C and second terminal D is transmitted according to the final allocation plan access channel, if receiving
To the information of no idle channel, then dormant state is switched to until next cycle arrives；
The step that the final allocation plan determines includes:
(1.1) the M first terminal C and N number of second terminal D, the first terminal C and the second terminal D are equipped with
Set respectively indicate are as follows:
α={ 1,2,3 ... M }；
β={ 1,2,3 ... N }；
The first terminal C and second terminal D shares M uplink frequency spectrum resource block；
The channel model of laboratory management system for internet of things link are as follows:
N=| μ |2b-β；
μ is the multipath fading value of link, and Rayleigh distributed, μ~CN (0,1), b are indicated in the management system for internet of things of laboratory
The transmitting terminal of equipment is at a distance from receiving end；β is link loss index；
(1.2) the signal-to-noise ratio SI for occupying the first terminal j and the second terminal i of j-th of frequency spectrum jointly is calculated；
Pj cIndicate transmission power of the first terminal to the server B, Pi bIndicate that the second terminal is received to its signal
The transmission power at end,Indicate the first terminal to the server B channel；Indicate the second terminal i to its letter
The channel of number receiving end,Indicate the second terminal to the multiplexing status of the first terminal frequency spectrum resource；M0Expression system
Noise power；
(1.3) spectrum efficiency for occupying the first terminal j and the second terminal i of j-th of frequency spectrum jointly is calculated；
ej=log2(1+SIj)；
ei=log2(1+SIi)；
(1.4) total power consumption for occupying the first terminal j and the second terminal i of j-th of frequency spectrum jointly is calculated；
Wj=wj+Ec；
Wi=wi+Ec；
wjFor the transmission power of the first terminal j, wiFor the transmission power of the second terminal i；Ec is the electricity of each equipment
Road power；
(1.5) the total energy effect of the first terminal C and second terminal D is calculated:
(1.6) the total energy effect of the first terminal C and second terminal D is simulated, finds out each equipment under minimum value
Best power consumption values.
2. a kind of efficiency optimization method of laboratory management system for internet of things according to claim 1, which is characterized in that institute
The energy consumption of the laboratory stated equipment to be managed optimizes by the following method:
(2.1) the conventional energy consumption of computing laboratory equipment to be managed:
PzFor the intrinsic circuit power in laboratory；Pzt(i) transimission power when being worked for laboratory equipment i to be managed；Pk
(i) for laboratory equipment i free time to be managed transimission power when；T is the unit time；TztFor laboratory equipment to be managed into
The time of row work；TkFor the time of laboratory equipment free time to be managed；
(2.2) probability of the idle mode of computing laboratory equipment to be managed:
pk(i)=(1-pb(i))(1-p(i))；
pbIt (i) is the buffer non-empty probability of laboratory equipment i to be managed；P (i) is the standard of laboratory equipment i to be managed
Work probability；
(2.3) probability of the operating mode of computing laboratory equipment to be managed:
pzt(i)=p (i)+(p (i) -1) pb(i)；
(2.4) the communication efficiency of computing laboratory equipment to be managed are as follows:
η is the communication arrival rate of laboratory equipment to be managed:
For the average length of communication data；For laboratory energy consumption mean power；TSFor laboratory channel communication time；
(2.5) the communication efficiency of the equipment to be managed to laboratory is simulated, and finds out the minimum of laboratory equipment to be managed
Value reaches the best power consumption values of system.
3. a kind of efficiency optimization method of laboratory management system for internet of things according to claim 1, which is characterized in that logical
It crosses the relay system A and the server B is monitored the transmission process of equipment to be optimized, specific method includes:
(3.1) coordinate of iu to be optimized is set as (Xiu, Yiu), if the coordinate of associated m equipment to be optimized is (X1, Y1),
(X2, Y2) ... (Xm, Ym), m >=3；
The associated equipment to be optimized is equipment that is to be optimized and being in a relay system together；
(3.2) this is to be optimized with the Euclidean distance of associated m equipment are as follows:
Above formula derive:
The formula by simplifying structure is carried out that coordinate to be optimized is calculated:
(3.3) iu to be optimized and the relay system A distance r are set, path loss communication distance is r0；Receive being averaged for power
Value is P (r0)；The transimission power of iu to be optimized is Pzt(i)；Then:
β is propagation path loss index, obtains the iu and relay system A distance r to be optimized by calculating；
(3.4) the laboratory equipment ix and iu distance s that can obtain iu signal of communication to be optimized is calculated；
s0It is laboratory equipment ix at a distance from known device ip signal of communication, XσIt is followed the example of for being just distributed very much for random value, standard
Deviation is [4,10], and b (i) is loss index of the signal of laboratory equipment to be managed in transmission process；G0 is to be optimized
The raw signal strength recorded between iu and laboratory equipment ix；
(3.5) pass through the coordinate of iu to be optimized, iu to be optimized and laboratory relay system A distance r and can obtain to excellent
Change the comprehensive position for determining equipment to be optimized laboratory equipment ix and iu distance s of iu signal of communication.
4. a kind of efficiency optimization method of laboratory management system for internet of things according to claim 1, which is characterized in that obtain
Transmission power specific steps when the first terminal C and second terminal D being taken to work include:
(4.1) the first terminal C and second terminal D is collected by the first terminal C and second terminal D to work
When transmission do the set of work value, to include that transmission under a certain number of different times and different working modes be done in set
Work value, M ' is a to transmit the set ζ for doing the matrix of work value, and each matrix is expressed as the matrix σ of m ' * n 'i；
(4.2) matrix N of the first terminal C and second terminal D transmission acting is detected ',
N '=A 'TA'；
A '=[ρ1, ρ2..., ρM]
ρiWork value is done for the first terminal C and the second terminal D difference changed over time,
ρi=σi- τ,
It matrix in traversal set ζ and adds up, then takes its average value to get to being averagely work value τ
The feature vector and characteristic value of calculating matrix N, feature vector μkAt any time for the first terminal C and the second terminal D
Between the difference that changes be work value ρiDistribution law, characteristic value
And select the corresponding feature vector of M characteristic value wherein with highest correlation；
(4.3) the acting value set of combined standard generates feature acting pattern vector
Ωi=μk T(σi-τ)；
I=1,2 ... M；
(4.4) transmission power for finally determining the first terminal C and second terminal D is Ωiλk。
5. a kind of efficiency of laboratory management system for internet of things optimizes equipment, laboratory management system for internet of things includes that laboratory is waited for
The device numbering of management is i1, and i2, i3 ... ..in, wherein n represents the serial number of equipment, can be wirelessly connected each laboratory relay system
A, server B, first terminal C and second terminal D, the first terminal C connect WEB terminal for the server, and described second
Terminal D connects control terminal for the server；The energy consumption that the laboratory management system for internet of things passes through control above equipment
Carry out efficiency optimization, which is characterized in that at the relay system A, each laboratory equipment to be managed is by its parameter information
List is sent to the relay system A, the parameter information list include the perception signal-to-noise ratio of respective channels, transmission rate and
Transimission power；The parameter information list that the server B is sent according to the relay system A, Binding experiment room is to be managed to be set
After standby transmission demand is planned, the power needed is distributed for laboratory equipment to be managed and sends allocation result result
Allocation result is sent to laboratory equipment to be managed to the relay system A, relay system A；The server B detects institute
State the idle channel of first terminal C and the second terminal D；The server B is described the according to the idle channel detected
The one terminal C and second terminal D distributes suitable channel and corresponding transmission time, and final allocation plan has been sent to
The first terminal C and the second terminal D of transmission demand, without channel distribution if no idle channel, only need to
The first terminal C and second terminal D sends the information without idle channel；The first terminal C and second terminal D
Channel is accessed according to allocation plan to be transmitted, if receiving the information of no idle channel, switches to dormant state until next
A period arrives；
The step that the final allocation plan determines includes:
Equipped with the M first terminal C and N number of second terminal D, the set of the first terminal C and the second terminal D
It respectively indicates are as follows:
α={ 1,2,3 ... M }；
β={ 1,2,3 ... N }；
The first terminal C and second terminal D shares M uplink frequency spectrum resource block；
The channel model of laboratory management system for internet of things link are as follows:
N=| μ |2b-β；
μ is the multipath fading value of link, and Rayleigh distributed, μ~CN (0,1), b are indicated in the management system for internet of things of laboratory
The transmitting terminal of equipment is at a distance from receiving end；β is link loss index；
Calculate the signal-to-noise ratio SI for occupying the first terminal j and the second terminal i of j-th of frequency spectrum jointly；
Pj cIndicate transmission power of the first terminal C to the server B, Pi bIndicate that the second terminal D connects to its signal
The transmission power of receiving end,Indicate the first terminal C to the server B channel；Indicate that the second terminal i is arrived
The channel of its signal receiving end,Indicate the second terminal D to the multiplexing status of the first terminal C frequency spectrum resource；M0Table
Show system noise power；
Calculate the spectrum efficiency for occupying the first terminal j and the second terminal i of j-th of frequency spectrum jointly；
ej=log2(1+SIj)；
ei=log2(1+SIi)；
Calculate the total power consumption for occupying the first terminal j and the second terminal i of j-th of frequency spectrum jointly；
Wj=wj+Ec；
Wi=wi+Ec；
wjFor the transmission power of the first terminal j, wiFor the transmission power of the second terminal i；Ec is the electricity of each equipment
Road power；
Calculate the total energy effect of the first terminal C and second terminal D:
The total energy effect of the first terminal C and second terminal D is simulated, the most Canon of each equipment under minimum value is found out
Consumption value；
The acquisition of transmission power when the first terminal C and the second terminal D are worked, method specific steps include:
It is collected when the first terminal C and second terminal D works by the first terminal C and the second terminal D
The set of work value is done in transmission, to include the transmission acting under a certain number of different times and different working modes in set
Value, M ' is a to transmit the set ζ for doing the matrix of work value, and each matrix is expressed as the matrix σ of m ' * n 'i；
Detect the matrix N of the first terminal C and second terminal D transmission acting ',
N '=A 'TA'；
A '=[ρ1, ρ2..., ρM]
ρiWork value is done for the first terminal C and the second terminal D difference changed over time,
ρi=σi- τ,
It matrix in traversal set ζ and adds up, then takes its average value to get to being averagely work value τ
The feature vector and characteristic value of calculating matrix N, feature vector μkAt any time for the first terminal C and the second terminal D
Between the difference that changes be work value ρiDistribution law, characteristic value
And select the corresponding feature vector of M characteristic value wherein with highest correlation；
The acting value set of combined standard generates feature acting pattern vector
Ωi=μk T(σi-τ)；
I=1,2 ... M；
The transmission power for finally determining the first terminal C and second terminal D is Ωiλk。
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