CN105372085B - Medicinal hopper cleaning machine monitoring system and dynamic principal component analysis method - Google Patents
Medicinal hopper cleaning machine monitoring system and dynamic principal component analysis method Download PDFInfo
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- CN105372085B CN105372085B CN201510711486.4A CN201510711486A CN105372085B CN 105372085 B CN105372085 B CN 105372085B CN 201510711486 A CN201510711486 A CN 201510711486A CN 105372085 B CN105372085 B CN 105372085B
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- G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
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Abstract
The invention discloses a kind of medicinal hopper cleaning machine monitoring system, including cleaning machine body, cleaning chamber is provided with the cleaning machine body, the cleaning chamber upper end is fixedly installed water inlet pipe, cleaning chamber lower end is fixedly installed outlet pipe, inlet valve, flowmeter and hydraulic pressure sensor are installed with water inlet pipe, cleaning intracavitary is provided with the first thermometer and second temperature meter, first thermometer is located at the delivery port of water inlet pipe, the second temperature meter is located at the water inlet of outlet pipe, and flowing water Valve is fixedly installed on outlet pipe；Cleaning machine body one end is provided with A/D modular converters and computer, hydraulic pressure sensor sends Monitoring Data to A/D modular converters by wireless or bus mode, analog quantity is converted into digital quantity by A/D modular converters, and is uploaded to computer, and dynamic principal component analysis is carried out to data by computer.Above-mentioned technical proposal, reasonable in design, simple in construction, reliable operation, easy to use, purging system is stable.
Description
Technical field
The present invention relates to medicinal hopper cleaning machine technical field, and in particular to a kind of medicinal hopper cleaning machine monitoring system and
Dynamic principal component analysis method.
Background technology
In solid pharmaceutical preparation production, often too busy to get away mixing, charging is transmitted and utensil matting, and China is currently mostly solid
Most distinct issues are the cleanings of instrument device in body preparation production.From《Pharmaceutical production checking guide (2003)》Equipment is cleaned
The purpose of checking defines, and " purpose of equipment cleaning checking is that automatic cleaning procedure or the people of the equipment are proved by testing
Work cleaning procedure can remove the active medicine residue on part of appliance, and reach acceptable criterion of acceptability, and prove this
The stability and repeatability of cleaning procedure." it is required in the parameter of specific cleaning checking, the pressure of such as washings, flow,
Water, water temperature and time will have the reliable record of quantization.And the country still rests on manual cleaning means device at present, it is clear that
Manual cleaning process can not make reliable full and accurate record to the above-mentioned parameter of each charging basket！
Although existing single-chamber type, bicavate hopper cleaning machine break away from manual cleaning way, using automated intelligent cleaning way,
But producer more pays close attention to cleaning performance, rather than the running status of purging system.It is obvious that purging system is imitated with hopper cleaning
Fruit is to be mutually related, and the former, which runs shakiness, will certainly influence final cleaning performance.
The content of the invention
In view of the deficienciess of the prior art, it is an object of the invention to provide it is a kind of it is reasonable in design, simple in construction,
Reliable operation, medicinal hopper cleaning machine monitoring system easy to use, purging system is stable.
To achieve the above object, the invention provides following technical scheme：A kind of medicinal hopper cleaning machine monitoring system, bag
Cleaning machine body is included, cleaning chamber is provided with the cleaning machine body, the cleaning chamber upper end is fixedly installed water inlet pipe, cleaned
Chamber lower end is fixedly installed outlet pipe, and inlet valve, flowmeter and hydraulic pressure sensor are installed with the water inlet pipe, described
Cleaning intracavitary is provided with the first thermometer and second temperature meter, and first thermometer is located at the delivery port of water inlet pipe, and described the
Two thermometers are located at the water inlet of outlet pipe, and flowing water Valve is fixedly installed on the outlet pipe；Described cleaning machine body one end
A/D modular converters and computer are provided with, hydraulic pressure sensor sends Monitoring Data to A/D conversions by wireless or bus mode
Module, analog quantity is converted into digital quantity by A/D modular converters, and is uploaded to computer, and it is main to carry out dynamic to data by computer
Meta analysis.
By using above-mentioned technical proposal, structure setting is reasonable, simple in construction, and monitoring effect is good, easy to use, due to prison
Examining system monitors, gathered data amount is bigger, individually sets Threshold Analysis to seem that workload is bigger each amount；And
System is dynamic change, and each amount percentage of being contributed to the final monitoring state of system is different.Therefore consider to adopt
Data are handled with pca method, so as to effectively quickly targetedly analyze system mode so that clear
Wash system run all right, reliable operation.
A kind of dynamic principal component analysis method of medicinal hopper cleaning machine monitoring system, comprises the following steps：
(1) temperature, humidity, intake pressure, flow of inlet water, water flow and discharge pressure are monitored；
(2) n is acquired to temperature, humidity, intake pressure, flow of inlet water, water flow and discharge pressure Monitoring Data
It is secondary, and matrix is formed, and need to gather data at different moments；
(3) matrix is standardized；
(4) covariance matrix of temperature, humidity, intake pressure, flow of inlet water and discharge pressure is sought；
(5) pivot number is set as k, and measurement space is decomposed into principal component subspaceWith residual error subspace
(6) pivot number is determined, and sets the pivot number of determination as k；
(7) dynamic principal component model is determined；
(8) simultaneously analyze data result is calculated.
Dynamic principal component analysis method integrates each monitoring variable, and system is integrally analyzed, contributes to systematization to treat each
Individual amount, from overall angle, charging basket cleaning monitoring system running status is analyzed more comprehensively.
It is an advantage of the invention that：Compared with prior art, structure setting of the present invention is more reasonable, and structure setting is reasonable, knot
Structure is simple, and monitoring effect is good, easy to use, by monitoring system monitors, gathered data amount is bigger, individually to each amount
Threshold Analysis is set to seem that workload is bigger；And system is dynamic change, each amount is to the final monitoring state of system
Contributed percentage is different.Therefore it is considered as pca method to handle data, so as to effectively quickly have
Targetedly system mode is analyzed so that purging system is stable, reliable operation.
With reference to Figure of description and specific embodiment, the invention will be further described.
Brief description of the drawings
Fig. 1 is the structural representation of the embodiment of the present invention.
Embodiment
Referring to Fig. 1, a kind of medicinal hopper cleaning machine monitoring system disclosed by the invention, including cleaning machine body 1, it is described clear
Cleaning chamber 11 is provided with washing machine body 1, cleaning chamber 11 upper end is fixedly installed water inlet pipe 2, and cleaning chamber 11 lower end is fixed
Outlet pipe 3 is provided with, inlet valve 4, flowmeter 5 and hydraulic pressure sensor 6, the cleaning are installed with the water inlet pipe 2
The first thermometer 7 and second temperature meter 8 are provided with chamber 11, first thermometer 7 is located at the delivery port of water inlet pipe 2, described
Second temperature meter 8 is located at the water inlet of outlet pipe 3, and flowing water Valve 9 is fixedly installed on the outlet pipe 3；The cleaning machine sheet
The one end of body 1 is provided with A/D modular converters 10 and computer 12, and Monitoring Data is passed through wireless or bus mode by hydraulic pressure sensor 6
Send A/D modular converters 10 to, analog quantity is converted into digital quantity by A/D modular converters 10, and is uploaded to computer 12, by calculating
Machine 12 carries out dynamic principal component analysis to data.
As preferable, water inlet pipe 2 and outlet pipe 3 are connected through a screw thread with cleaning machine body 1；Inlet valve 4, flow
Meter 5 and hydraulic pressure sensor 6 are threadedly coupled with water inlet pipe 2；Flowing water Valve 9 is connected through a screw thread with outlet pipe 3；First thermometer 7
It is connected by screw respectively with second temperature meter 8 and the cleaning internal face of chamber 11.A/D modular converters 10 pass through with cleaning machine body 1
Wireless connection is connected by data wire, and A/D modular converters 10 are connected with computer 12 by wireless connection or by data wire.
Data transmission procedure is：Data are sent to (A/D turns of analog-to-digital conversion by existing sensor by wireless or bus mode
Change) module, the module is responsible for analog quantity being converted into digital quantity, and is uploaded to computer, and data are analyzed by computer,
So far whole flow process is completed.
Structure setting of the present invention is more reasonable, and structure setting is reasonable, simple in construction, and monitoring effect is good, easy to use, due to
Monitoring system monitors, gathered data amount is bigger, individually sets Threshold Analysis to seem that workload is bigger each amount；And
And system is dynamic change, each amount percentage of being contributed to the final monitoring state of system is different.Therefore consider
Data are handled using pca method, so as to effectively quickly targetedly analyze system mode so that
Purging system is stable, reliable operation.
The dynamic principal component analysis method of medicinal hopper cleaning machine monitoring system, comprises the following steps：
(1) temperature, humidity, intake pressure, flow of inlet water, water flow and discharge pressure are monitored；X=[temperature,
Humidity, intake pressure, flow of inlet water, water flow, discharge pressure] it is raw monitored amount, it is mutually deserved to set X=[X1, X2, X3, X4,
X5, X6] (wherein X1For temperature；X2For humidity；X3For intake pressure；X4For water flow；X5For discharge pressure)；
(2) n is acquired to temperature, humidity, intake pressure, flow of inlet water, water flow and discharge pressure Monitoring Data
It is secondary, and matrix is formed, and need to gather data at different moments；
N (OK) formation matrix of n × 6 is gathered to X, in order to be applicable the change procedure of dynamical system, it is necessary to when gathering different
The data at quarter, such as the X matrix at t, t+1, t+2 moment, form the matrix (also being represented with X, n >=18) of n × 18, i.e. X=[X (t), X (t
+ 1), X (t+2)]；
(3) matrix is standardized；It can be expressed as the matrix of above-mentioned n × 18The matrix is standardized, both
Data, matrix still use x after standardizationij, x represent, whereinFor the average of each column,For variance (i=1 ..., the n of each column；J=1 ..., 18)；
(4) covariance matrix of temperature, humidity, intake pressure, flow of inlet water and discharge pressure is sought；Seek X covariance
Matrix, R=∑s (X)=(XTX)/(n-1), ∑ are the symbol for seeking covariance, then ask R characteristic value and characteristic vector.Because R is
18 rank reality symmetry square matrixs, so its 18 characteristic roots are all real numbers, by it, descending is arranged as from big to small：λ1≥λ2≥…≥
λ18；
(5) pivot number is set as k, and measurement space is decomposed into principal component subspaceWith residual error subspace
OrderIf pivot number is k, corresponding characteristic vectorRemaining 18-k
The characteristic vector that characteristic value correspond to isThen data matrix X can be analyzed to：WhereinFor residual matrix, measurement space is so decomposed into principal component subspace
(Principal Component Subspace, PCS)With residual error subspace (Residual Subspace, RS)
(6) pivot number is determined, and sets the pivot number of determination as k；CalculateWork as Q1Reach
K is defined as pivot number during threshold value (such as 85%), and k will be far fewer than m in actual use；
(7) passing through (1) ..., (6) determine dynamic principal component model, and the process at i-th of moment is subsequently gathered according to (1)-(2)
Data vector Xi, calculateT in formulaiIt is score matrix T the i-th row, DλFor the diagonal of R
Battle array, λ is matrix DλIn the diagonal matrix that is formed of preceding k diagonal element.
(8) T is calculated2The control limit of statisticF distributions can be utilized to be calculated as follows：
F in formulaK, m-k, αIt is that the free degree is k and m-k, the F that the level of signifiance is α (taking 0.01) is distributed critical value.
CheckWhether have beyond control limitThere are abnormal conditions beyond control limit explanation, control system makes report
Alert response, prompts client further to check.It can be seen that each monitoring variable is integrated by dynamic principal component analysis method, it is whole to system
Body is analyzed, and contributes to systematization to treat each amount, from overall angle, more comprehensively to charging basket cleaning monitoring system fortune
Row state is analyzed.
Above-described embodiment is served only for that the present invention is further described, it is impossible to be interpreted as to the specific descriptions of the present invention
Limiting the scope of the present invention, it is non-that the technician of this area according to the content of foregoing invention makes some to the present invention
The modifications and adaptations of essence are each fallen within protection scope of the present invention.
Claims (1)
1. a kind of medicinal hopper cleaning machine monitoring system, including cleaning machine body (1), the cleaning machine body (1) is interior to be provided with
Chamber (11) is cleaned, described cleaning chamber (11) upper end is fixedly installed water inlet pipe (2), and cleaning chamber (11) lower end is fixedly installed water outlet
Manage (3), inlet valve (4), flowmeter (5) and hydraulic pressure sensor (6), the cleaning are installed with the water inlet pipe (2)
The first thermometer (7) and second temperature meter (8) are provided with chamber (11), first thermometer (7) is located at going out for water inlet pipe (2)
The mouth of a river, the second temperature meter (8) are located at the water inlet of outlet pipe (3), flowing water Valve are fixedly installed on the outlet pipe (3)
(9)；Described cleaning machine body (1) one end is provided with A/D modular converters (10) and computer (12), and hydraulic pressure sensor (6) will supervise
Survey data and A/D modular converters (10) are sent to by wireless or bus mode, analog quantity is converted into counting by A/D modular converters (10)
Word amount, and computer (12) is uploaded to, data are carried out with dynamic principal component analysis by computer (12), and medicinal hopper cleaning machine is supervised
The dynamic principal component analysis method of examining system, comprises the following steps：
(1) temperature, humidity, intake pressure, flow of inlet water, water flow and discharge pressure are monitored；
(2) temperature, humidity, intake pressure, flow of inlet water, water flow and discharge pressure Monitoring Data are acquired n times, and
Matrix is formed, and needs to gather data at different moments；
(3) matrix is standardized；
(4) covariance matrix of temperature, humidity, intake pressure, flow of inlet water and discharge pressure is sought；
(5) pivot number is set as k, and measurement space is decomposed into principal component subspaceWith residual error subspace
(6) pivot number is determined, and sets the pivot number of determination as k；
(7) dynamic principal component model is determined；
(8) simultaneously analyze data result is calculated.
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