CN108922583A - It is a kind of for the liquid handling of medical test, transfer device and its method - Google Patents
It is a kind of for the liquid handling of medical test, transfer device and its method Download PDFInfo
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Abstract
The invention belongs to technical field of medical examination, disclose it is a kind of for the liquid handling of medical test, transfer device and its method, it is described to include for the liquid handling of medical test, transfer device：Liquid sample mark module, sterilization module, fresh-keeping module, main control module, extraction module, analysis module, cloud computing processing module, evaluation module.The present invention passes through cloud computing processing module personnel convenient to carry out according to actual needs, the mating operation for equipment of very easily testing, easy to operate, intuitive display；The present invention has the characteristics that flexible and convenient, versatile, easy to maintain, Rapid Implementation is arranged in decoding process；Meanwhile the present invention establishes complete assessment system by evaluation module, has standardized the estimation flow of the planning and operation to inspection, has improved data user rate, improve the quality of inspection, greatly improve checkability, the integrality of ensuring inspection data.
Description
Technical field
The invention belongs to technical field of medical examination more particularly to a kind of liquid handlings for medical test, transmitting dress
It sets and its method.
Background technique
Medical test (medicallaboratoryscience, MLS) be to be derived from human body material carry out microbiology,
The inspection of immunology, biochemistry, science of heredity, hematology, biophysics, cytology etc., thus to prevent, diagnosing,
It treats human body diseases and assesses human health and a science of information is provided.By systematic learning, understand how the blood of surveyor
Type, determining a people, whether anaemia, liver function are normal etc..The subject requires to use various photoelectric instruments and chemical reagent
Experimental analysis is completed, so laying particular stress on natural sciences, it is desirable that have preferable biology, chemical fundamentals.However, current inspection device data solution
The method of code haves the characteristics that decoding inconvenience, poor universality, difficult in maintenance low with efficiency of the practice；Meanwhile conventional inspection data
Low efficiency, inspection data process is lack of standardization, inspection quality is low.
In conclusion problem of the existing technology is：
(1) there is decoding inconvenience, poor universality, difficult in maintenance and implementation in the decoded method of current inspection device data
The characteristics of low efficiency；Meanwhile conventional inspection data efficiency is low, inspection data process is lack of standardization, inspection quality is low, used at present
Sterilizer Disinfection Effect is bad, can not judge whether the ultraviolet radiation dosage that specified microorganisms are absorbed reaches microorganism mistake
The best effects of disinfection are not achieved so that the geometric parameter of sterilizer can not accurately be arranged in required lowest dose level living.
(2) current analysis module is slower to the classification rate of data information, reduces the processing effect of medical test liquid
Rate of classifying is not achieved required for big data in rate.
(3) main control singlechip model used at present receives lower with processing analysis efficiency, right to the more demanding of equipment
The inquiry and maintenance of data are more difficult, and inspection data is caused to be not easy to inquire.
Summary of the invention
In view of the problems of the existing technology, the present invention provides a kind of liquid handlings for medical test, transmitting dress
It sets and its method.
The invention is realized in this way a kind of liquid handling for medical test, transmission method, including：
Mark sample number, sample type and processing type are carried out to liquid sample by liquid sample mark module；
It is carried out disinfection using sterilizer to Sample environment by sterilization module；Antistaling cabinet pair is utilized by fresh-keeping module
Sample carries out fresh-keeping storage；
Main control module is by extraction module using extractor according to identification information extracting liq sample；
It is tested analysis using analysis instrument to liquid-like by analysis module；
Tested in analysis using analysis instrument to liquid-like, information classification approach using support vector machines quickly point
Class algorithm, specifically includes：
Given training sample set { (xi, yi), i=1,2 ..., l }, xi∈Rd, yi∈ { -1 ,+1 } is introduced from input space Rn
To the transformation of Hilbert (Hilbert) space H：
Then primal problem is constructed in the H of the space Hilbert：
Termination condition：
It is solved using Lagrange multiplier method, obtained dual problem is：
Termination condition：
Wherein K (xi, xj) it is kernel function：
Optimal solution α is obtained by solving above-mentioned dual problem*=(α1 *..., αl *)T, choose the 0 < α of a positive component of α *j *<
C, and threshold is calculated accordingly
b*=yj-∑yiαi *K(xi,xj),
Finally construct decision function
Give two sample x1, x2∈RN, then the distance between two samples can be expressed as d (x1, x2),Indicate sample xl
I-th of component, in the case where linear, the distance between two samples are defined as follows：
Coding and decoding processing is carried out to inspection data using cloud platform by cloud computing processing module；It carries out at coding and decoding
In reason,
Burst signal detection algorithm real-time detection receives signal r firstkIn whether contain mpsk signal, if there is MPSK letter
Number, then provide the thick initial position k of mpsk signalsWith thick end position ke；The detection algorithm that happens suddenly uses the energy of non-data aided
Detection method；Take LsL in the reception signal of a symbolbA symbol is long as the window of energy measuring method, constructs sentencing for burst signal detection
Certainly statistic is：
Work as LbWhen a symbol is without the data sent, it is (2L that Y (i), which obeys parameter,b, 0) non-central chi square distribution, also
It is to obey parameter as 2LbCenter chi square distribution；Work as LbWhen a symbol all contains transmission data, it is (2L that Y (i), which obeys parameter,b,
2LbA2/σ2) non-central chi square distribution；When a symbol contains m transmission data, it is (2L that Y (i), which obeys parameter,b, 2mA2/σ2)
Non-central chi square distribution；Accordingly, it is as follows to establish binary testing model：
Know under omission factor same case according to above formula, LbBigger, false-alarm probability is lower, according to actual burst communication system
Different L may be selected in technical needb；
Inspection process is assessed by evaluation module.
Further, energy measuring method also can estimating burst signal initial time position；It is known by above-mentioned testing principle
Begin moment position probability be equivalent to judgement amount be greater than decision threshold probability, enable D be burst signal initial time position with
Machine variable, then the probability-distribution function of D is written as：
Energy measuring method signal initial position can be calculated according to above formula and be estimated as Biased estimator, signal-to-noise ratio take 2dB~
12dB、LbProbability P when=90 symbol, except ± 28 symbolic range of initial position estimated valueaIt is 4 × 10-6；Final burst signal
Thick initial position ksWith thick end position keWith (1-Pa) probability within 56 symbolic ranges；
Secondly coarse frequency synchronisation and Time synchronization algorithm according to the preceding top guide of the burst signal and mpsk signal just
Realize that the time synchronization point of signal tracks and thick frequency offset correction in beginning position；The main algorithm used is calculated for cross-correlation and frequency search
Method；Frame loss rate and carrier wave frequency deviation, LsThere are much relations, if Ls=120 symbol is taken to be greater than 56 × 2 above-mentioned symbols, carrier frequency
It tends to obey in ± 30kHz and be uniformly distributed, therefore show frequency search interval after taking statistical average to omission factor caused by frequency deviation
When 10kHz, Pb=4.6 × 10-5, in conjunction with Pa=4 × 10-6, frame loss rate Pa+Pb=5 × 10-5, meet design objective 1 × 10-4
Requirement, less than 1 modulation symbol of time synchronization point tracking accuracy, the precision that frequency deviation slightly corrects reaches amendment Cramér-Rao lower bound
MCRB；
Then signal passes sequentially through SNR detection module and thin frequency synchronization module, realizes sample timing synchronization and thin respectively
Frequency deviation compensation is corrected with skew；In view of the sudden and shorter lead code of signal, therefore estimate that Timing error estimate part is adopted
The timing error of signal is extracted with the algorithm based on feedforward and non-data aided, that is, uses O&M algorithm；By burst detection and frequency
Baseband complex signal after partially thick correction is r (n), and timing error isEvery symbol sampler points are N, then O&M algorithm is estimated
Timing error can be represented by the formula：
N is sampling instant serial number in formula, and L is number of symbols, and n and k are sampling instant serial number before and after Timing Synchronization；Using complete
The carrier wave frequency deviation that the information that portion receives signal carries out unbound nucleus is carefully estimated, according to the nonlinear transformation estimation technique, carrier wave rough estimate
The expression formula that carrier wave frequency deviation after meter is carefully estimated is expressed as：
In formula, H (f0)=DFT [(r (k))M], r (k) is the reception signal after Timing Synchronization, and DFT indicates discrete Fu
In leaf transformation；Since discrete Fourier transform is realized by Fast Fourier Transform (FFT), and its transformation points is influenced by frame length, therefore is worked as
Fence effect is significant when frame length is shorter, still needs to further decrease evaluated error using Frequency Estimation thinning algorithm；Rife is introduced to calculate
Method remembers H (f0) maximum spectral line is H (n0), secondary big spectral line is denoted as H (n0+ d), then the obtained frequency estimation of Rife algorithm is as follows
Shown in formula：
Wherein, as | H (n0+ 1) | < | H (n0- 1) | when, d=-1, conversely, d=1；
Finally by bilevel Linear programming and De-mapping module, bilevel Linear programming and bit decoding are completed；It is modulated using MPSK
Unique word can be used to eliminate phase ambiguity, main algorithm be signal phase is rotated respectively 2q × pi/M (q=0,1 ... M-1)
Do computing cross-correlation with lead code, compare maximizing, so that it is determined that phase ambiguity value be it is how many, then accordingly repaired again
Just.
Further, cloud computing processing method includes：
(1) according to the producer and model for examining equipment, confirmation examines equipment to carry out decoding registration in cloud platform；
(2) to the inspection equipment for carrying out decoding registration in cloud platform, directly equipment is being examined to correspond to workstation computer
Upper deployment data acquisition software collects the inspection result data A1 for examining equipment；
(3) inspection result data A1 is carried out to preliminary format and code conversion, obtains the data of unified format and coding
A2；
(4) flat according to cloud after cloud platform receives data A2 to the inspection equipment for carrying out decoding registration in cloud platform
The producer for the corresponding inspection equipment registered in platform and model, then call corresponding database store process, by storing process
The decoding for carrying out data, obtains final result data B, while being stored in database；
In the step (2), to the inspection equipment for not carrying out decoding registration in cloud platform, the network of equipment is examined in confirmation
Communication modes dispose data acquisition software, and the parameter of the network communication mode is arranged, for collecting the inspection for examining equipment
Test result data A1；
In step (4), to the inspection equipment for not carrying out decoding registration in cloud platform, according to obtained data A2, in cloud
The decoding storing process for equipment of testing in platform is write, while the cloud platform registration for equipment of testing；After registration, and
After cloud platform receives data A2, the corresponding producer for examining equipment and model are obtained, corresponding data inventory is then called
Storage process is carried out the decoding of data by storing process, obtains visual inspection result data B, while being stored in database.
Further, in being carried out disinfection using sterilizer to Sample environment, using ultraviolet ray disinfector, disinfection by ultraviolet light
The CFD model of device interior flow field is：Sterilizer is closing tubular type, and inside having six effective power is the middle pressure ultraviolet lamp of 2000W, purple
There is the quartz socket tube to shield outside outer lamp, the three-dimensional entity model of ultraviolet disinfection device is established with Gambit:X-axis is just
To for direction of flow, the axis of ultraviolet lamp is parallel with Z axis perpendicular to Y-axis, by entire sterilizer be divided into the area that becomes a mandarin, radiation area and
3 part of the area Chu Liu；
First to inlet end face and exit end face carry out between be divided into the quadrilateral surface grid dividing of 0.03, pave type, so
It is drawn respectively to area is entirely become a mandarin with the Hex/Wedge grid for going out stream region progress cooper type using this 2 end faces as initial surface afterwards
Point；Radiation area more complicated for structure, first to do the first floor around ultraviolet lamp be 10%, ratio 1.05, totally 10 layers by close
To thin boundary layer, the Tet/Hybrid grid dividing of TGrid type, entire ultraviolet disinfection device mould are then taken whole region
Type is divided into 390187 cell cubes, 191482 nodes；Assuming that handled water is incompressible single-phase homogeneous fluid, determine
Often flowing, dynamic viscosity at 20 DEG C are 1.003 × 10-3Kg/ (ms), inlet flow rate 1.54m/s, when numerical simulation, adopt
With 3d solver, selection criteria k-εTurbulence model, momentum, Turbulent Kinetic, turbulence dissipation rate are all made of single order Upwind Schemes；
Using baffle near zone as low speeds flow region in entire flow field, incoming flow speed under the action of two side baffles is substantially reduced, and is come
The region flowed between upper and lower ultraviolet lamp is high-speed flow area, is occurring apparent low regime after cylindrical type ultraviolet lamp,
Area become a mandarin with relatively high pressure, stagnation pressure is gradually reduced after by radiation area, for baffle near zone
Pressure is higher after incoming flow flows through ultraviolet lamp；
It is tested in analysis using analysis instrument to liquid-like,
Under nonlinear situation, the distance between two samples are as follows：
WhereinFor vector x in former space to be mapped to vector corresponding in high-dimensional vector space, For kernel function；
Assuming that a kind of sample is x1i, i=1 ..., l, another kind of sample is x2j, j=1, m, d (x1i, x2j) indicate
I-th of sample in the first kind to j-th of sample in the second class distance, then to each i value, di=mind (x1i,x2j)
(j=1,2, m) and, corresponding vector x2jIt is exactly a Margin Vector of the second class sample；
Distance screening is passed through to original sample, obtains the l initial training sample (x by retive boundary vector process1,
y1) ..., (xl, yl), wherein xi∈Rn, i=1 ..., l, yi∈ { -1,1 } is sample xiAffiliated classification, m are training sample
Class number, if the training sample set of k-th of support vector machines is combined into X={ (xi, yi)|yi>=k }, it obtains
Constraint condition：
ifyj=k,
ifyj> k,
M ∈ { 1 ..., k },
Its dual problem is converted into be solved：
Obtaining its corresponding decision function is：
Further, the single-chip microcontroller of main control module, which is received with processing method, includes：
Established between data transmitting node and data processing node data transmission channel, data processing node receive data,
It analyzes data, merger data, data processed result and exports 5 links, 5 links correspond to 4 processes of data processing：Data
Reception, data analysis, merger data and output result data, the model for handling mass data is a queuing model, enables N
(t) data volume reached in time (0, t) is indicated, then：
(1) (0)=0 N reaches that is, in 0s without data；
(2) { N (t) t0 } has without memory, and the data reached in disjoint time interval are mutually indepedent, that is, appoint and take
N moment 0<t1<t2<……<Tn, stochastic variable N (t1)-N (0), N (t2)-N (t1) ... ..., N (tn)-N (tn-1) is phase
It is mutually independent；
(3) { N (t) t0 } has stationary increment, and the data volume reached in (t, t+ △ t) is only related with time interval △ t,
And it is unrelated with time t；The received data flow of data processing node obeys Poisson distribution, and the time of data processing has memoryless
Property, meets quantum condition entropy, meanwhile, data in data handling utility model, by DDThread1 thread according to FIFO mode into
Row is sent.
Another object of the present invention is to provide the liquid handling of medical test, transmission method are used for described in a kind of realize
Computer program.
Another object of the present invention is to provide the liquid handling of medical test, transmission method are used for described in a kind of realize
Information data processing terminal.
Another object of the present invention is to provide a kind of computer readable storage mediums, including instruction, when it is in computer
When upper operation, so that computer executes the liquid handling for medical test, transmission method.
Include for the liquid handling of medical test, transfer device another object of the present invention is to provide a kind of：
Liquid sample mark module, sterilization module, fresh-keeping module, main control module, extraction module, analysis module, cloud computing
Processing module, evaluation module；
Liquid sample mark module, connect with main control module, for carrying out mark sample number, sample class to liquid sample
Type and processing type；
Sterilization module is connect with main control module, for being carried out disinfection by sterilizer to Sample environment；
Fresh-keeping module, connect with main control module, for carrying out fresh-keeping storage to sample by antistaling cabinet；
Main control module, with liquid sample mark module, sterilization module, fresh-keeping module, extraction module, analysis module, cloud meter
Processing module, evaluation module connection are calculated, is worked normally for controlling modules by single-chip microcontroller；
Extraction module is connect with main control module, for passing through extractor according to identification information extracting liq sample；
Analysis module is connect with main control module, for being tested analysis by analysis instrument to liquid-like；
Cloud computing processing module, connect with main control module, for being carried out at coding and decoding by cloud platform to inspection data
Reason；
Evaluation module is connect with main control module, for assessing inspection process；
Further, the evaluation module includes index memory module, plan module, data statistics module, plan batch
Quasi-mode block, main detection module；
Index memory module, for establishing and storing single index and combined index；
Plan module is formed to be logged after the approval for formulating pending assessment plan to rights holder
Assessment plan, the assessment to be logged are intended to be the execution frame of pattern detection；
Data statistics module corresponds to the inspection result of each single index for typing；
Plan approval module, for typing correspond to each single index testing result and methodology parameter, formed to
Approval assessment plan；The issued for approval assessment plan forms feasible assessment plan after being given the ratification；
Main detection module, for storing the detection project, detection system and the methodology parameter that pass through audit, in Sample
In the process, when there is the effective range or significant response testing result that do not meet the restriction of methodology parameter, inspection result is issued
The warning message of super efficient range.
Advantages of the present invention and good effect are：
(1) present invention effectively realizes the decoded standardization of inspection result data by cloud computing processing module, to inspection
The data decoding of equipment is managed collectively, so that decoding management, maintenance is more convenient, versatility is stronger.In order to realize data
Unified decoding, the inspection result data that will directly obtain from equipment carry out unified format and coding by data acquisition software and turn
It changes, obtains coded data, coded data is uniformly then uploaded into cloud platform by data acquisition software, exist further according to inspection equipment
The producer of registration in platform and type information call different data processing storing process, obtain data, and it is flat to be stored in cloud
In platform, ultraviolet ray disinfector used at present is able to detect whether the ultraviolet radiation dosage that specified microorganisms are absorbed reaches this
Lowest dose level needed for microbial inactivation reaches best Disinfection Effect so as to which the parameter of sterilizer is preferably arranged.
(2) to information classify use quick classification method, personnel convenient to carry out according to actual needs, very easily into
The mating operation of performing check equipment, easy to operate, intuitive display；There is the present invention decoding process flexible and convenient, versatility is arranged
By force, the features such as easy to maintain, Rapid Implementation.
(3) simultaneously, the present invention establishes complete assessment system by evaluation module, has standardized planning and operation to inspection
Estimation flow, by single-chip microcontroller use reception analyze surface model more improve data user rate, improve the quality of inspection, greatly
It is big to improve checkability, the integrality of ensuring inspection data.
It carries out in coding and decoding processing,
Burst signal detection algorithm real-time detection receives signal r firstkIn whether contain mpsk signal, if there is MPSK letter
Number, then provide the thick initial position k of mpsk signalsWith thick end position ke；The detection algorithm that happens suddenly uses the energy of non-data aided
Detection method；Take LsL in the reception signal of a symbolbA symbol is long as the window of energy measuring method, constructs sentencing for burst signal detection
Certainly statistic is：
Work as LbWhen a symbol is without the data sent, it is (2L that Y (i), which obeys parameter,b, 0) non-central chi square distribution, also
It is to obey parameter as 2LbCenter chi square distribution；Work as LbWhen a symbol all contains transmission data, it is (2L that Y (i), which obeys parameter,b,
2LbA2/σ2) non-central chi square distribution；When a symbol contains m transmission data, it is (2L that Y (i), which obeys parameter,b, 2mA2/σ2)
Non-central chi square distribution；Accordingly, it is as follows to establish binary testing model：
Know under omission factor same case according to above formula, LbBigger, false-alarm probability is lower, according to actual burst communication system
Different L may be selected in technical needb；The data that processing can effectively be obtained, compared to having but the prior art, processing speed and accuracy
It improves very much, there is very strong ability in robustness.Guarantee is provided for medical test accuracy.
Detailed description of the invention
Fig. 1 is that the present invention implements the liquid handling for medical test provided, transmission method flow chart.
Fig. 2 is that the present invention implements the liquid handling for medical test provided, transfer device structural block diagram.
In Fig. 2：1, liquid sample mark module；2, sterilization module；3, fresh-keeping module；4, main control module；5, extraction module；
6, analysis module；7, cloud computing processing module；8, evaluation module.
Specific embodiment
In order to make the objectives, technical solutions, and advantages of the present invention clearer, with reference to embodiments, to the present invention
It is further elaborated.It should be appreciated that the specific embodiments described herein are merely illustrative of the present invention, it is not used to
Limit the present invention.
With reference to the accompanying drawing and specific embodiment is further described application principle of the invention.
As shown in Figure 1, it is provided by the invention it is a kind of for the liquid handling of medical test, transmission method include following step
Suddenly：
S101 carries out mark sample number, sample type and processing class to liquid sample by liquid sample mark module
Type；
S102 carries out disinfection to Sample environment using sterilizer by sterilization module；Guarantor is utilized by fresh-keeping module
Fresh cabinet carries out fresh-keeping storage to sample；
S103, main control module is by extraction module using extractor according to identification information extracting liq sample；
S104 tests analysis to liquid-like using analysis instrument by analysis module；Pass through cloud computing processing module
Coding and decoding processing is carried out to inspection data using cloud platform；
S105 assesses inspection process by evaluation module.
As shown in Fig. 2, including provided by the present invention for the liquid handling of medical test, transfer device：Liquid sample mark
Know module 1, sterilization module 2, fresh-keeping module 3, main control module 4, extraction module 5, analysis module 6, cloud computing processing module 7, comment
Estimate module 8.
Liquid sample mark module 1 is connect with main control module 4, for carrying out mark sample number, sample to liquid sample
Type and processing type；
Sterilization module 2 is connect with main control module 4, for being carried out disinfection by sterilizer to Sample environment；
Fresh-keeping module 3, connect with main control module 4, for carrying out fresh-keeping storage to sample by antistaling cabinet；
Main control module 4, with liquid sample mark module 1, sterilization module 2, fresh-keeping module 3, extraction module 5, analysis module
6, cloud computing processing module 7, evaluation module 8 connect, and work normally for controlling modules by single-chip microcontroller；
Extraction module 5 is connect with main control module 4, for passing through extractor according to identification information extracting liq sample；
Analysis module 6 is connect with main control module 4, for being tested analysis by analysis instrument to liquid-like；
Cloud computing processing module 7 is connect with main control module 4, for carrying out coding and decoding to inspection data by cloud platform
Processing；
Evaluation module 8 is connect with main control module 4, for assessing inspection process.
7 processing method of cloud computing processing module provided by the invention is as follows：
(1) according to the producer and model for examining equipment, confirmation examines equipment to carry out decoding registration in cloud platform；
(2) to the inspection equipment for carrying out decoding registration in cloud platform, directly equipment is being examined to correspond to workstation computer
Upper deployment data acquisition software collects the inspection result data A1 for examining equipment；
(3) inspection result data A1 is carried out to preliminary format and code conversion, obtains the data of unified format and coding
A2；
(4) flat according to cloud after cloud platform receives data A2 to the inspection equipment for carrying out decoding registration in cloud platform
The producer for the corresponding inspection equipment registered in platform and model, then call corresponding database store process, by storing process
The decoding for carrying out data, obtains final result data B, while being stored in database.
In step (2) provided by the invention, to the inspection equipment for not carrying out decoding registration in cloud platform, confirmation is examined and is set
Standby network communication mode disposes data acquisition software, and the parameter of the network communication mode is arranged, to examine for collecting
The inspection result data A1 of equipment；
In step (4), to the inspection equipment for not carrying out decoding registration in cloud platform, according to obtained data A2, in cloud
The decoding storing process for equipment of testing in platform is write, while the cloud platform registration for equipment of testing；After registration, and
After cloud platform receives data A2, the corresponding producer for examining equipment and model are obtained, corresponding data inventory is then called
Storage process is carried out the decoding of data by storing process, obtains visual inspection result data B, while being stored in database.
Evaluation module 8 provided by the invention includes index memory module, plan module, data statistics module, plan
Ratify module, main detection module；
Index memory module, for establishing and storing single index and combined index；
Plan module is formed to be logged after the approval for formulating pending assessment plan to rights holder
Assessment plan, the assessment to be logged are intended to be the execution frame of pattern detection；
Data statistics module corresponds to the inspection result of each single index for typing；
Plan approval module, for typing correspond to each single index testing result and methodology parameter, formed to
Approval assessment plan；The issued for approval assessment plan forms feasible assessment plan after being given the ratification；
Main detection module, for storing the detection project, detection system and the methodology parameter that pass through audit, in Sample
In the process, when there is the effective range or significant response testing result that do not meet the restriction of methodology parameter, inspection result is issued
The warning message of super efficient range.
Below with reference to concrete analysis, the invention will be further described.
A kind of liquid handling for medical test provided in an embodiment of the present invention, transmission method, including：
Mark sample number, sample type and processing type are carried out to liquid sample by liquid sample mark module；
It is carried out disinfection using sterilizer to Sample environment by sterilization module；Antistaling cabinet pair is utilized by fresh-keeping module
Sample carries out fresh-keeping storage；
Main control module is by extraction module using extractor according to identification information extracting liq sample；
It is tested analysis using analysis instrument to liquid-like by analysis module；
Coding and decoding processing is carried out to inspection data using cloud platform by cloud computing processing module；It carries out at coding and decoding
In reason,
Burst signal detection algorithm real-time detection receives signal r firstkIn whether contain mpsk signal, if there is MPSK letter
Number, then provide the thick initial position k of mpsk signalsWith thick end position ke；The detection algorithm that happens suddenly uses the energy of non-data aided
Detection method；Take LsL in the reception signal of a symbolbA symbol is long as the window of energy measuring method, constructs sentencing for burst signal detection
Certainly statistic is：
Work as LbWhen a symbol is without the data sent, it is (2L that Y (i), which obeys parameter,b, 0) non-central chi square distribution, also
It is to obey parameter as 2LbCenter chi square distribution；Work as LbWhen a symbol all contains transmission data, it is (2L that Y (i), which obeys parameter,b,
2LbA2/σ2) non-central chi square distribution；When a symbol contains m transmission data, it is (2L that Y (i), which obeys parameter,b, 2mA2/σ2)
Non-central chi square distribution；Accordingly, it is as follows to establish binary testing model：
Know under omission factor same case according to above formula, LbBigger, false-alarm probability is lower, according to actual burst communication system
Different L may be selected in technical needb；
Energy measuring method also can estimating burst signal initial time position；The initial time position known to above-mentioned testing principle
The probability set is equivalent to the probability that judgement amount is greater than decision threshold, and enabling D is the stochastic variable of burst signal initial time position, then
The probability-distribution function of D is written as：
Energy measuring method signal initial position can be calculated according to above formula and be estimated as Biased estimator, signal-to-noise ratio take 2dB~
12dB、LbProbability P when=90 symbol, except ± 28 symbolic range of initial position estimated valueaIt is 4 × 10-6；Final burst signal
Thick initial position ksWith thick end position keWith (1-Pa) probability within 56 symbolic ranges；
Secondly coarse frequency synchronisation and Time synchronization algorithm according to the preceding top guide of the burst signal and mpsk signal just
Realize that the time synchronization point of signal tracks and thick frequency offset correction in beginning position；The main algorithm used is calculated for cross-correlation and frequency search
Method；Frame loss rate and carrier wave frequency deviation, LsThere are much relations, if Ls=120 symbol is taken to be greater than 56 × 2 above-mentioned symbols, carrier frequency
It tends to obey in ± 30kHz and be uniformly distributed, therefore show frequency search interval after taking statistical average to omission factor caused by frequency deviation
When 10kHz, Pb=4.6 × 10-5, in conjunction with Pa=4 × 10-6, frame loss rate Pa+Pb=5 × 10-5, meet design objective 1 × 10-4
Requirement, less than 1 modulation symbol of time synchronization point tracking accuracy, the precision that frequency deviation slightly corrects reaches amendment Cramér-Rao lower bound
MCRB；
Then signal passes sequentially through SNR detection module and thin frequency synchronization module, realizes sample timing synchronization and thin respectively
Frequency deviation compensation is corrected with skew；In view of the sudden and shorter lead code of signal, therefore estimate that Timing error estimate part is adopted
The timing error of signal is extracted with the algorithm based on feedforward and non-data aided, that is, uses O&M algorithm；By burst detection and frequency
Baseband complex signal after partially thick correction is r (n), and timing error isEvery symbol sampler points are N, then O&M algorithm is estimated
Timing error can be represented by the formula：
N is sampling instant serial number in formula, and L is number of symbols, and n and k are sampling instant serial number before and after Timing Synchronization；Using complete
The carrier wave frequency deviation that the information that portion receives signal carries out unbound nucleus is carefully estimated, according to the nonlinear transformation estimation technique, carrier wave rough estimate
The expression formula that carrier wave frequency deviation after meter is carefully estimated is expressed as：
In formula, H (f0)=DFT [(r (k))M], r (k) is the reception signal after Timing Synchronization, and DFT indicates discrete Fu
In leaf transformation；Since discrete Fourier transform is realized by Fast Fourier Transform (FFT), and its transformation points is influenced by frame length, therefore is worked as
Fence effect is significant when frame length is shorter, still needs to further decrease evaluated error using Frequency Estimation thinning algorithm；Rife is introduced to calculate
Method remembers H (f0) maximum spectral line is H (n0), secondary big spectral line is denoted as H (n0+ d), then the obtained frequency estimation of Rife algorithm is as follows
Shown in formula：
Wherein, as | H (n0+ 1) | < | H (n0- 1) | when, d=-1, conversely, d=1；
Finally by bilevel Linear programming and De-mapping module, bilevel Linear programming and bit decoding are completed；It is modulated using MPSK
Unique word can be used to eliminate phase ambiguity, main algorithm be signal phase is rotated respectively 2q × pi/M (q=0,1 ... M-1)
Do computing cross-correlation with lead code, compare maximizing, so that it is determined that phase ambiguity value be it is how many, then accordingly repaired again
Just.
Cloud computing processing method provided in an embodiment of the present invention includes：
(1) according to the producer and model for examining equipment, confirmation examines equipment to carry out decoding registration in cloud platform；
(2) to the inspection equipment for carrying out decoding registration in cloud platform, directly equipment is being examined to correspond to workstation computer
Upper deployment data acquisition software collects the inspection result data A1 for examining equipment；
(3) inspection result data A1 is carried out to preliminary format and code conversion, obtains the data of unified format and coding
A2；
(4) flat according to cloud after cloud platform receives data A2 to the inspection equipment for carrying out decoding registration in cloud platform
The producer for the corresponding inspection equipment registered in platform and model, then call corresponding database store process, by storing process
The decoding for carrying out data, obtains final result data B, while being stored in database；
In the step (2), to the inspection equipment for not carrying out decoding registration in cloud platform, the network of equipment is examined in confirmation
Communication modes dispose data acquisition software, and the parameter of the network communication mode is arranged, for collecting the inspection for examining equipment
Test result data A1；
In step (4), to the inspection equipment for not carrying out decoding registration in cloud platform, according to obtained data A2, in cloud
The decoding storing process for equipment of testing in platform is write, while the cloud platform registration for equipment of testing；After registration, and
After cloud platform receives data A2, the corresponding producer for examining equipment and model are obtained, corresponding data inventory is then called
Storage process is carried out the decoding of data by storing process, obtains visual inspection result data B, while being stored in database.
In being carried out disinfection using sterilizer to Sample environment, using ultraviolet ray disinfector, inside ultraviolet ray disinfector
The CFD model in flow field is：Sterilizer is closing tubular type, inside has six effective power for the middle pressure ultraviolet lamp of 2000W, outside ultraviolet lamp
There is the quartz socket tube to shield in portion, and the three-dimensional entity model of ultraviolet disinfection device is established with Gambit:X-axis forward direction is next
Direction is flowed, the axis of ultraviolet lamp is parallel with Z axis perpendicular to Y-axis, and entire sterilizer is divided into the area that becomes a mandarin, radiation area and the area Chu Liu
3 parts；
First to inlet end face and exit end face carry out between be divided into the quadrilateral surface grid dividing of 0.03, pave type, so
It is drawn respectively to area is entirely become a mandarin with the Hex/Wedge grid for going out stream region progress cooper type using this 2 end faces as initial surface afterwards
Point；Radiation area more complicated for structure, first to do the first floor around ultraviolet lamp be 10%, ratio 1.05, totally 10 layers by close
To thin boundary layer, the Tet/Hybrid grid dividing of TGrid type, entire ultraviolet disinfection device mould are then taken whole region
Type is divided into 390187 cell cubes, 191482 nodes；Assuming that handled water is incompressible single-phase homogeneous fluid, determine
Often flowing, dynamic viscosity at 20 DEG C are 1.003 × 10-3Kg/ (ms), inlet flow rate 1.54m/s, when numerical simulation, adopt
With 3d solver, selection criteria k-εTurbulence model, momentum, Turbulent Kinetic, turbulence dissipation rate are all made of single order Upwind Schemes；
Using baffle near zone as low speeds flow region in entire flow field, incoming flow speed under the action of two side baffles is substantially reduced, and is come
The region flowed between upper and lower ultraviolet lamp is high-speed flow area, is occurring apparent low regime after cylindrical type ultraviolet lamp,
Area become a mandarin with relatively high pressure, stagnation pressure is gradually reduced after by radiation area, for baffle near zone
Pressure is higher after incoming flow flows through ultraviolet lamp；
Tested in analysis using analysis instrument to liquid-like, information classification approach using support vector machines quickly point
Class algorithm, specifically includes：
Given training sample set { (xi, yi), i=1,2 ..., l }, xi∈Rd, yi∈ { -1 ,+1 } is introduced from input space Rn
To the transformation of Hilbert (Hilbert) space H：
Then primal problem is constructed in the H of the space Hilbert：
Termination condition：
It is solved using Lagrange multiplier method, obtained dual problem is：
Termination condition：
Wherein K (xi, xj) it is kernel function：
Optimal solution α is obtained by solving above-mentioned dual problem*=(α1 *..., αl *)T, choose the 0 < α of a positive component of α *j*
< C, and threshold is calculated accordingly
b*=yj-∑yiαi *K(xi,xj),
Finally construct decision function
Give two sample x1, x2∈RN, then the distance between two samples can be expressed as d (x1, x2),Indicate sample xl
I-th of component, in the case where linear, the distance between two samples are defined as follows：
Under nonlinear situation, the distance between two samples are as follows：
WhereinFor vector x in former space to be mapped to vector corresponding in high-dimensional vector space, For kernel function；
Assuming that a kind of sample is x1i, i=1 ..., l, another kind of sample is x2j, j=1, m, d (x1i, x2j) indicate
I-th of sample in the first kind to j-th of sample in the second class distance, then to each i value, di=mind (x1i,x2j)
(j=1,2, m) and, corresponding vector x2jIt is exactly a Margin Vector of the second class sample；
Distance screening is passed through to original sample, obtains the l initial training sample (x by retive boundary vector process1,
y1) ..., (xl, yl), wherein xi∈Rn, i=1 ..., l, yi∈ { -1,1 } is sample xiAffiliated classification, m are training sample
Class number, if the training sample set of k-th of support vector machines is combined into X={ (xi, yi)|yi>=k }, it obtains
Constraint condition：
ifyj=k,
ifyj> k,
M ∈ { 1 ..., k },
Its dual problem is converted into be solved：
Obtaining its corresponding decision function is：
The single-chip microcontroller of main control module is received with processing method：
Established between data transmitting node and data processing node data transmission channel, data processing node receive data,
It analyzes data, merger data, data processed result and exports 5 links, 5 links correspond to 4 processes of data processing：Data
Reception, data analysis, merger data and output result data, the model for handling mass data is a queuing model, enables N
(t) data volume reached in time (0, t) is indicated, then：
(1) (0)=0 N reaches that is, in 0s without data；
(2) { N (t) t0 } has without memory, and the data reached in disjoint time interval are mutually indepedent, that is, appoint and take
N moment 0<t1<t2<……<Tn, stochastic variable N (t1)-N (0), N (t2)-N (t1) ... ..., N (tn)-N (tn-1) is phase
It is mutually independent；
(3) { N (t) t0 } has stationary increment, and the data volume reached in (t, t+ △ t) is only related with time interval △ t,
And it is unrelated with time t；The received data flow of data processing node obeys Poisson distribution, and the time of data processing has memoryless
Property, meets quantum condition entropy, meanwhile, data in data handling utility model, by DDThread1 thread according to FIFO mode into
Row is sent.
In the above-described embodiments, can come wholly or partly by software, hardware, firmware or any combination thereof real
It is existing.When using entirely or partly realizing in the form of a computer program product, the computer program product include one or
Multiple computer instructions.When loading on computers or executing the computer program instructions, entirely or partly generate according to
Process described in the embodiment of the present invention or function.The computer can be general purpose computer, special purpose computer, computer network
Network or other programmable devices.The computer instruction may be stored in a computer readable storage medium, or from one
Computer readable storage medium is transmitted to another computer readable storage medium, for example, the computer instruction can be from one
A web-site, computer, server or data center pass through wired (such as coaxial cable, optical fiber, Digital Subscriber Line (DSL)
Or wireless (such as infrared, wireless, microwave etc.) mode is carried out to another web-site, computer, server or data center
Transmission).The computer-readable storage medium can be any usable medium or include one that computer can access
The data storage devices such as a or multiple usable mediums integrated server, data center.The usable medium can be magnetic Jie
Matter, (for example, floppy disk, hard disk, tape), optical medium (for example, DVD) or semiconductor medium (such as solid state hard disk
SolidStateDisk (SSD)) etc..
The foregoing is merely illustrative of the preferred embodiments of the present invention, is not intended to limit the invention, all in essence of the invention
Made any modifications, equivalent replacements, and improvements etc., should all be included in the protection scope of the present invention within mind and principle.
Claims (10)
1. a kind of liquid handling for medical test, transmission method, which is characterized in that at the liquid for medical test
Reason, transmission method include：
Mark sample number, sample type and processing type are carried out to liquid sample by liquid sample mark module；
It is carried out disinfection using sterilizer to Sample environment by sterilization module；By fresh-keeping module using antistaling cabinet to sample
Carry out fresh-keeping storage；
Main control module is by extraction module using extractor according to identification information extracting liq sample；
It is tested analysis using analysis instrument to liquid-like by analysis module；
It is tested in analysis using analysis instrument to liquid-like, information classification approach is calculated using the Fast Classification of support vector machines
Method specifically includes：
Given training sample set { (xi, yi), i=1,2 ..., l }, xi∈Rd, yi∈ { -1 ,+1 } is introduced from input space Rn to uncommon
The transformation of your Bert (Hilbert) space H：
Then primal problem is constructed in the H of the space Hilbert：
Termination condition：
It is solved using Lagrange multiplier method, obtained dual problem is：
Termination condition：
Wherein K (xi, xj) it is kernel function：
Optimal solution α is obtained by solving above-mentioned dual problem*=(α1 *..., αl *) T, choose the 0 < α of a positive component of α *j* < C,
And threshold is calculated accordingly
b*=yj-∑yiαi *K(xi, xj),
Finally construct decision function
Give two sample x1, x2∈RN, then the distance between two samples can be expressed as d (x1, x2),Indicate sample xl?
I component, in the case where linear, the distance between two samples are defined as follows：
Coding and decoding processing is carried out to inspection data using cloud platform by cloud computing processing module；Carry out coding and decoding processing
In,
Burst signal detection algorithm real-time detection receives signal r firstkIn whether contain mpsk signal, if there is mpsk signal, give
The thick initial position k of mpsk signal outsWith thick end position ke；The detection algorithm that happens suddenly uses the energy measuring method of non-data aided；
Take LsL in the reception signal of a symbolbA symbol is long as the window of energy measuring method, constructs the decision statistic of burst signal detection
Amount is：
Work as LbWhen a symbol is without the data sent, it is (2L that Y (i), which obeys parameter,b, 0) non-central chi square distribution, that is, take
It is 2L from parameterbCenter chi square distribution；Work as LbWhen a symbol all contains transmission data, it is (2L that Y (i), which obeys parameter,b,
2LbA2/σ2) non-central chi square distribution；When a symbol contains m transmission data, it is (2L that Y (i), which obeys parameter,b, 2mA2/σ2)
Non-central chi square distribution；Accordingly, it is as follows to establish binary testing model：
Know under omission factor same case according to above formula, LbBigger, false-alarm probability is lower, according to the technology of actual burst communication system
Different L may be selected in demandb；
Inspection process is assessed by evaluation module.
2. as described in claim 1 for the liquid handling of medical test, transmission method, which is characterized in that energy measuring method
Also can estimating burst signal initial time position；The probability of initial time position is equivalent to adjudicate known to above-mentioned testing principle
Amount is greater than the probability of decision threshold, and enabling D is the stochastic variable of burst signal initial time position, then the probability-distribution function of D is write
For：
Energy measuring method signal initial position can be calculated according to above formula and is estimated as Biased estimator, and signal-to-noise ratio takes 2dB~12dB, Lb
Probability P when=90 symbol, except ± 28 symbolic range of initial position estimated valueaIt is 4 × 10-6；Finally burst signal is thick first
Beginning position ksWith thick end position keWith (1-Pa) probability within 56 symbolic ranges；
Secondly coarse frequency synchronisation and Time synchronization algorithm are according to the preceding top guide of the burst signal and the initial bit of mpsk signal
Set the time synchronization point tracking for realizing signal and thick frequency offset correction；The main algorithm used is cross-correlation and frequency search algorithms；
Frame loss rate and carrier wave frequency deviation, LsThere are much relations, if Ls=120 symbol is taken to be greater than 56 × 2 above-mentioned symbols, carrier wave frequency deviation exists
It obeys and is uniformly distributed in ± 30kHz, therefore show frequency search interval 10kHz after taking statistical average to omission factor caused by frequency deviation
When, Pb=4.6 × 10-5, in conjunction with Pa=4 × 10-6, frame loss rate Pa+Pb=5 × 10-5, meet design objective 1 × 10-4Want
It asks, less than 1 modulation symbol of time synchronization point tracking accuracy, the precision that frequency deviation slightly corrects reaches amendment Cramér-Rao lower bound MCRB；
Then signal passes sequentially through SNR detection module and thin frequency synchronization module, realizes sample timing synchronization and thin frequency deviation respectively
Compensation is corrected with skew；In view of the sudden and shorter lead code of signal, therefore estimate that Timing error estimate part uses base
The timing error of signal is extracted in the algorithm of feedforward and non-data aided, that is, uses O&M algorithm；It is thick by burst detection and frequency deviation
Baseband complex signal after correction is r (n), and timing error isEvery symbol sampler points are N, then the timing of O&M algorithm estimation
Error can be represented by the formula：
N is sampling instant serial number in formula, and L is number of symbols, and n and k are sampling instant serial number before and after Timing Synchronization；It is connect using whole
The carrier wave frequency deviation that the information of the collection of letters number carries out unbound nucleus is carefully estimated, according to the nonlinear transformation estimation technique, after carrier wave rough estimate
The expression formula carefully estimated of carrier wave frequency deviation be expressed as：
In formula, H (f0)=DFT [(r (k))M], r (k) is the reception signal after Timing Synchronization, and DFT indicates discrete fourier
Transformation；Since discrete Fourier transform is realized by Fast Fourier Transform (FFT), and its transformation points is influenced by frame length, therefore works as frame length
Fence effect is significant when shorter, still needs to further decrease evaluated error using Frequency Estimation thinning algorithm；Introduce Rife algorithm, note
H(f0) maximum spectral line is H (n0), secondary big spectral line is denoted as H (n0+ d), then the obtained frequency estimation of Rife algorithm such as following formula institute
Show：
Wherein, as | H (n0+ 1) | < | H (n0- 1) | when, d=-1, conversely, d=1；
Finally by bilevel Linear programming and De-mapping module, bilevel Linear programming and bit decoding are completed；It can be adopted using MPSK modulation
Eliminate phase ambiguity with unique word, main algorithm be signal phase is rotated respectively 2q × pi/M (q=0,1 ... M-1) with before
Leading code does computing cross-correlation, compares maximizing, so that it is determined that phase ambiguity value be it is how many, then accordingly corrected again.
3. as described in claim 1 for the liquid handling of medical test, transmission method, which is characterized in that cloud computing processing
Method further comprises：
(1) according to the producer and model for examining equipment, confirmation examines equipment to carry out decoding registration in cloud platform；
(2) to the inspection equipment for carrying out decoding registration in cloud platform, directly equipment is being examined to correspond to workstation computer top
Data acquisition software is affixed one's name to, the inspection result data A1 for examining equipment is collected；
(3) inspection result data A1 is carried out to preliminary format and code conversion, obtains the data A2 of unified format and coding；
(4) to the inspection equipment for carrying out decoding registration in cloud platform, after cloud platform receives data A2, according in cloud platform
The producer of the corresponding inspection equipment of registration and model, then call corresponding database store process, are carried out by storing process
The decoding of data obtains final result data B, while being stored in database；
In the step (2), to the inspection equipment for not carrying out decoding registration in cloud platform, the network communication of equipment is examined in confirmation
Mode disposes data acquisition software, and the parameter of the network communication mode is arranged, for collecting the inspection knot for examining equipment
Fruit data A1；
In step (4), to the inspection equipment for not carrying out decoding registration in cloud platform, according to obtained data A2, in cloud platform
In the test decoding storing process of equipment write, while the cloud platform registration for equipment of testing；After registration, and in cloud
After platform receives data A2, the corresponding producer for examining equipment and model are obtained, corresponding database purchase mistake is then called
Journey is carried out the decoding of data by storing process, obtains visual inspection result data B, while being stored in database.
4. as described in claim 1 for the liquid handling of medical test, transmission method, which is characterized in that
In being carried out disinfection using sterilizer to Sample environment, using ultraviolet ray disinfector, ultraviolet ray disinfector interior flow field
CFD model be：Sterilizer is closing tubular type, and inside having six effective power is the middle pressure ultraviolet lamp of 2000W, is had outside ultraviolet lamp
The quartz socket tube to shield establishes the three-dimensional entity model of ultraviolet disinfection device with Gambit:X-axis forward direction is incoming flow side
To the axis of ultraviolet lamp is parallel with Z axis perpendicular to Y-axis, and entire sterilizer is divided into the area that becomes a mandarin, radiation area and 3, the area Chu Liu
Point；
First to inlet end face and exit end face carry out between be divided into the quadrilateral surface grid dividing of 0.03, pave type, then divide
It is not initial surface to the Hex/Wedge grid dividing in entirely become a mandarin area and stream region progress cooper type out using this 2 end faces；It is right
In the more complicated radiation area of structure, first to the first floor is done around ultraviolet lamp is 10%, ratio 1.05, totally 10 layers by close to dredging
Boundary layer, then takes whole region the Tet/Hybrid grid dividing of TGrid type, and entire ultraviolet disinfection device model is divided into
For 390187 cell cubes, 191482 nodes；Assuming that handled water is incompressible single-phase homogeneous fluid, make the steady motion of a fluid
Dynamic, dynamic viscosity at 20 DEG C is 1.003 × 10-3Kg/ (ms), inlet flow rate 1.54m/s, when numerical simulation, are asked using 3d
Solve device, selection criteria k-εTurbulence model, momentum, Turbulent Kinetic, turbulence dissipation rate are all made of single order Upwind Schemes；Entire stream
Using baffle near zone as low speeds flow region in, incoming flow speed under the action of two side baffles is substantially reduced, and incoming flow is upper
Region between lower ultraviolet lamp is high-speed flow area, is occurring apparent low regime after cylindrical type ultraviolet lamp, become a mandarin area
With relatively high pressure, stagnation pressure is gradually reduced after by radiation area, the incoming flow stream for baffle near zone
Pressure is higher after ultraviolet lamp；
It is tested in analysis using analysis instrument to liquid-like, under nonlinear situation, the distance between two samples are as follows：
WhereinFor vector x in former space to be mapped to vector corresponding in high-dimensional vector space, For kernel function；
Assuming that a kind of sample is x1i, i=1 ..., l, another kind of sample is x2j, j=1 ..., m, d (x1i, x2j) indicate in the first kind
I-th of sample to j-th of sample in the second class distance, then to each i value, di=mind (x1i, x2j) (j=1,
2 ..., m), corresponding vector x2jIt is exactly a Margin Vector of the second class sample；
Distance screening is passed through to original sample, obtains the l initial training sample (x by retive boundary vector process1, y1) ...,
(xl, yl), wherein xi∈Rn, i=1 ..., l, yi∈ { -1,1 } is sample xiAffiliated classification, m are the class number of training sample,
If the training sample set of k-th of support vector machines is combined into X={ (xi, yi)|yi>=k }, it obtains
Constraint condition：
Its dual problem is converted into be solved：
Obtaining its corresponding decision function is：
5. as described in claim 1 for the liquid handling of medical test, transmission method, which is characterized in that main control module
Single-chip microcontroller is received with processing method：
Data transmission channel is established between data transmitting node and data processing node, data processing node receives data, analysis
Data, merger data, data processed result export 5 links, and 5 links correspond to 4 processes of data processing：Data connect
Receipts, data analysis, merger data and output result data, the model for handling mass data is a queuing model, enables N (t)
Indicate the data volume reached in time (0, t), then：
(1) (0)=0 N reaches that is, in 0s without data；
(2) { N (t) t0 } has without memory, and the data reached in disjoint time interval are mutually indepedent, that is, appoints and take n
0 < t1 < t2 < ... < tn of moment, stochastic variable N (t1)-N (0), N (t2)-N (t1) ... ..., N (tn)-N (tn-1) is phase
It is mutually independent；
(3) { N (t) t0 } has stationary increment, (data volume reached in t, t+ Δ t) is only related with time interval △ t, and
It is unrelated with time t；The received data flow of data processing node obeys Poisson distribution, the time of data processing have it is without memory,
Meet quantum condition entropy, meanwhile, data carry out in data handling utility model, by DDThread1 thread according to FIFO mode
It sends.
6. a kind of realize described in Claims 1 to 5 any one for the liquid handling of medical test, the computer of transmission method
Program.
7. a kind of realize described in Claims 1 to 5 any one for the liquid handling of medical test, the Information Number of transmission method
According to processing terminal.
8. a kind of computer readable storage medium, including instruction, when run on a computer, so that computer is executed as weighed
Benefit requires described in 1-5 any one for the liquid handling of medical test, transmission method.
9. a kind of realize described in claim 1 for the liquid handling of medical test, the liquid for medical test of transmission method
Body processing, transfer device, which is characterized in that described to include for the liquid handling of medical test, transfer device：
Liquid sample mark module, sterilization module, fresh-keeping module, main control module, extraction module, analysis module, cloud computing processing
Module, evaluation module；
Liquid sample mark module, connect with main control module, for liquid sample carry out mark sample number, sample type and
Handle type；
Sterilization module is connect with main control module, for being carried out disinfection by sterilizer to Sample environment；
Fresh-keeping module, connect with main control module, for carrying out fresh-keeping storage to sample by antistaling cabinet；
At main control module, with liquid sample mark module, sterilization module, fresh-keeping module, extraction module, analysis module, cloud computing
Module, evaluation module connection are managed, is worked normally for controlling modules by single-chip microcontroller；
Extraction module is connect with main control module, for passing through extractor according to identification information extracting liq sample；
Analysis module is connect with main control module, for being tested analysis by analysis instrument to liquid-like；
Cloud computing processing module, connect with main control module, for carrying out coding and decoding processing to inspection data by cloud platform；
Evaluation module is connect with main control module, for assessing inspection process.
10. as claimed in claim 9 for the liquid handling of medical test, transfer device, which is characterized in that the assessment mould
Block includes index memory module, plan module, data statistics module, plan approval module, main detection module；
Index memory module, for establishing and storing single index and combined index；
Plan module forms assessment to be logged to rights holder for formulating pending assessment plan after the approval
Plan, the assessment to be logged are intended to be the execution frame of pattern detection；
Data statistics module corresponds to the inspection result of each single index for typing；
Plan approval module, the testing result and methodology parameter of each single index are corresponded to for typing, forms issued for approval
Assessment plan；The issued for approval assessment plan forms feasible assessment plan after being given the ratification；
Main detection module, for storing the detection project, detection system and the methodology parameter that pass through audit, in Sample process
In, when there is the effective range or significant response testing result that do not meet the restriction of methodology parameter, sending inspection result is super to be had
Imitate the warning message of range.
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| CN106226510A (en) * | 2016-07-05 | 2016-12-14 | 南京天纵易康生物科技股份有限公司 | A kind of high flux rapid diagnosis system based on the Internet and method |
| CN106845132A (en) * | 2017-02-16 | 2017-06-13 | 广州金域医学检验中心有限公司 | Methodology evaluation system and method for medical examination |
| CN107480690A (en) * | 2017-07-04 | 2017-12-15 | 中国科学院计算技术研究所 | A kind of more sorting techniques for including unknown classification based on SVMs |
| CN108304529A (en) * | 2018-01-26 | 2018-07-20 | 贵州联科卫信科技有限公司 | One kind being based on the decoded method of cloud mode medical test device data |
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| CN114205196A (en) * | 2021-12-16 | 2022-03-18 | 山东航天电子技术研究所 | Blind estimation method for MPSK signal SNR under environment with phase offset |
| CN114205196B (en) * | 2021-12-16 | 2024-01-26 | 山东航天电子技术研究所 | Blind estimation method for SNR (signal-to-noise ratio) of MPSK (multi-phase shift keying) signal in phase-offset environment |
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