CN108593325A - Intelligent failure diagnosis method based on the self-service reprographic printing system that internet is shared - Google Patents
Intelligent failure diagnosis method based on the self-service reprographic printing system that internet is shared Download PDFInfo
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- CN108593325A CN108593325A CN201810413274.1A CN201810413274A CN108593325A CN 108593325 A CN108593325 A CN 108593325A CN 201810413274 A CN201810413274 A CN 201810413274A CN 108593325 A CN108593325 A CN 108593325A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
- G01M99/00—Subject matter not provided for in other groups of this subclass
- G01M99/005—Testing of complete machines, e.g. washing-machines or mobile phones
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS], computer integrated manufacturing [CIM]
- G05B19/4185—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS], computer integrated manufacturing [CIM] characterised by the network communication
- G05B19/41855—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS], computer integrated manufacturing [CIM] characterised by the network communication by local area network [LAN], network structure
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS], computer integrated manufacturing [CIM]
- G05B19/4188—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS], computer integrated manufacturing [CIM] characterised by CIM planning or realisation
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/20—Pc systems
- G05B2219/26—Pc applications
- G05B2219/2636—Reproduction, image copying machine
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/20—Pc systems
- G05B2219/26—Pc applications
- G05B2219/2646—Printing
-
- 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
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
Abstract
The invention discloses the intelligent failure diagnosis methods for the self-service reprographic printing system shared based on internet, including：Bottom sensing subsystem, human-machine interaction subsystem, remote monitoring subsystem three parts, by USB line connection and transmission data between the bottom sensing subsystem and human-machine interaction subsystem, pass through wireless network connection and transmission data between the human-machine interaction subsystem and remote monitoring subsystem；The intelligent failure diagnosis method can find potential faults in advance by the working condition of local sensor detection device, fault level be evaluated, and send out fault alarm to remotely-or locally personnel according to actual conditions, to take timely measure discharge failure.
Description
Technical field
The present invention relates to a kind of self-service reprographic printing technologies, the self-service reprographic printing system specifically shared based on internet
Intelligent failure diagnosis method.
Background technology
With the continuous development of science and technology, the common print business equipment including printer, duplicator, scanner has become
The necessary equipment of corporate office.However for most average families, it is low due to the use of rate, equipment price is high, need
The reasons such as periodic maintenance are not equipped with print business equipment generally；But selection arrives close on the relevant print business of picture and text shop purchase when needed
Service.But due to surging cost of labor and house rent so that picture and text shop must be chosen to be at the big place of the volume of the flow of passengers and open up, number
Amount has received limitation with scale.Therefore often there is user and be badly in need of the phenomenon that photocopying materials but can not find picture and text shop, increase
The time cost of user even results in important practice delay.
Invention content
To solve the above-mentioned problems, the present invention provides the intelligent trouble for the self-service reprographic printing system shared based on internet
Diagnostic method.
To achieve the goals above, the technical scheme is that：
Intelligent failure diagnosis method based on the self-service reprographic printing system that internet is shared, the intelligent trouble diagnosis side
Method includes the following steps：
(1) detect whether that carbon dust is very few
It is respectively c by the nearest n sensing data of carbon dust detector acquisition1、c2……cn, then biography can be obtained by following formula
Feel data mean value caver, the wherein numerical value of n is adjusted according to field condition, value range 8-15：
By the sensing data mean value c obtained by above-mentioned calculatingaver, carbon dust surplus C can be obtained by following formulaleft, wherein cmaxWith
cminMaxima and minima in respectively n sensing data, κ are compensation coefficient, and numerical value is adjusted according to field condition
It is whole, value range 0.4-0.6：
Cleft=κ (1+sin (π/(cmax-cmin)·(caver-(cmax-cmin)/2)))\*MERGEFORMAT (11)
The carbon dust surplus C obtained by above formulaleft, and can obtain according to the following formula whether the very few identifier F of carbon dustc, wherein
CSleftFor carbon dust alarming threshold value, numerical value is adjusted according to field condition, value range 0.10-0.15, when detection carbon dust
F when very fewcIt is 1：
Fc=sgn (CSleft-Cleft) \*MERGEFORMAT (12)
(2) detect whether that paper is very few
It is p by the sensing data that paper detection obtains, then paper surplus P can be obtained by following formulaleft, wherein τ is strong
Positive coefficient, numerical value are adjusted according to field condition, value range 80-120：
The paper surplus P obtained by above formulaleft, and can obtain according to the following formula whether the very few identifier F of paperp, wherein
PSleftFor paper alarming threshold value, numerical value is adjusted according to field condition, value range 30-50, when detection paper is very few
When FpIt is 1：
Fp=sgn (PSleft-Pleft) \*MERGEFORMAT (14)
(3) detection is communicated with remote data center
Network connecting request being sent to remote data center from on-board controller and starting timer, timer time is denoted as
tnet, stop timer after receiving data center and replying, and start network connecting request next time；
By above-mentioned timer time tnet, and can show whether there are communication failures with remote data center according to the following formula
Identifier Fnet, wherein tSnetFor Connection Time threshold values, numerical value is adjusted according to field condition, value range 800-
1000, F when with remote data center communication failurenetIt is 1：
Fnet=sgn (tSnet-tnet) \*MERGEFORMAT (15)
(4) detection is communicated with paper feeder
Serial ports read requests are sent from on-board controller to paper feeder, read the number of paper feeder storage inside position
According to, and starting timer, timer time is denoted as tser, stop timer when reading the numerical value of non-empty, and start next time
Serial ports read requests；
By above-mentioned timer time tser, and can show whether there are the marks of communication failure with paper feeder according to the following formula
Know symbol Fser, wherein tSserFor Connection Time threshold values, numerical value is adjusted according to field condition, value range 300-500,
F when with paper feeder communication failureserIt is 1：
Fser=sgn (tSser-tser) \*MERGEFORMAT (16)
(5) fault level is evaluated
By the F obtained by above-mentioned calculatingc、Fp、Fnet、Fser, fault level G, the wherein bigger expression of G values can be obtained by following formula
Failure severity is higher：
(6) startup separator is alarmed
Corresponding fault warning is made by the fault level G obtained by above-mentioned calculating；As 2≤G<Only to remote server when 5
Send fault data；Local fault alarm will be started as 5≤G, need to carry out Emergency Maintenance.
Preferably, the self-service reprographic printing system shared based on internet includes bottom sensing subsystem, man-machine friendship
Mutual subsystem, remote monitoring subsystem three parts, pass through USB between the bottom sensing subsystem and human-machine interaction subsystem
Line connection and transmission data, by wireless network connection and are transmitted between the human-machine interaction subsystem and remote monitoring subsystem
Data.
Preferably, the bottom sensing subsystem includes：High-definition camera, light sensor, light compensating lamp, printer,
Carbon dust detector, paper detection, fault alarm, infrared detector, infrared camera, infrared range-measurement system, paper feeder,
Paper piling device；
Wherein, high-definition camera connect simultaneously transmission data, light sensor and expansion interface with expansion interface by USB line
It is connect by two-line cable with expansion interface by two-line cable connection and transmission data, light compensating lamp, printer and extension
Interface is by USB line connection and transmission data, and carbon dust detector is connect by two-line cable with expansion interface and transmission data,
Paper detection is connect by two-line cable with expansion interface and transmission data, and fault alarm passes through two lines with expansion interface
Cable connection processed and transmission data, infrared detector is connect by two-line cable with expansion interface and transmission data, infrared to take the photograph
Picture head is connect by two-line cable with expansion interface and transmission data, and infrared range-measurement system passes through two-line cable with expansion interface
Connect and transmission data, paper feeder and expansion interface connects simultaneously transmission data by two-line cable, paper piling device and
Expansion interface passes through two-line cable connection and transmission data.
Preferably, the human-machine interaction subsystem include on-board controller, touch display screen, on-line payment equipment, mutually
Networked communication device, local area network communication equipment；
Wherein, on-board controller and touch display turn RJ45 lines by DC3.5 and connect and transmission data, on-board controller
It is connect by USB line with on-line payment equipment and transmission data, on-board controller is connect with internet communication equipment by USB line
And transmission data, on-board controller is connect by RJ45 lines with local area network communication equipment and transmission data.
Preferably, the remote monitoring subsystem includes：Remote data center and remote monitoring platform, the two pass through nothing
Line network connection and transmission data.
The beneficial effects of the present invention are：
The present invention can have found potential faults in advance by the working condition of local sensor detection device, evaluate failure
Grade, and fault alarm is sent out to remotely-or locally personnel according to actual conditions, to take timely measure discharge failure.
Description of the drawings
Fig. 1 is the system principle diagram of the present invention；
Fig. 2 is the intelligent failure diagnosis method flow chart of the present invention.
Specific implementation mode
Preferred embodiment of the invention is described in further detail below in conjunction with the accompanying drawings.
As shown in Figure 1, a kind of method for diagnosing faults for the self-service reprographic printing system shared based on internet, the interconnection
The shared self-service reprographic printing system of net, including bottom sensing subsystem, human-machine interaction subsystem, remote monitoring subsystem three are big
Part passes through USB line connection and transmission data, the man-machine friendship between the bottom sensing subsystem and human-machine interaction subsystem
Mutually pass through wireless network connection and transmission data between subsystem and remote monitoring subsystem.
In the present embodiment, bottom sensing subsystem includes：High-definition camera, light sensor, light compensating lamp, printer,
Carbon dust detector, paper detection, fault alarm, infrared detector, infrared camera, infrared range-measurement system, paper feeder,
Paper piling device；
Wherein, high-definition camera connect simultaneously transmission data, light sensor and expansion interface with expansion interface by USB line
It is connect by two-line cable with expansion interface by two-line cable connection and transmission data, light compensating lamp, printer and extension
Interface is by USB line connection and transmission data, and carbon dust detector is connect by two-line cable with expansion interface and transmission data,
Paper detection is connect by two-line cable with expansion interface and transmission data, and fault alarm passes through two lines with expansion interface
Cable connection processed and transmission data, infrared detector is connect by two-line cable with expansion interface and transmission data, infrared to take the photograph
Picture head is connect by two-line cable with expansion interface and transmission data, and infrared range-measurement system passes through two-line cable with expansion interface
Connect and transmission data, paper feeder and expansion interface connects simultaneously transmission data by two-line cable, paper piling device and
Expansion interface passes through two-line cable connection and transmission data.
In the present embodiment, human-machine interaction subsystem include on-board controller, touch display screen, on-line payment equipment, mutually
Networked communication device, local area network communication equipment；
Wherein, on-board controller and touch display turn RJ45 lines by DC3.5 and connect and transmission data, on-board controller
It is connect by USB line with on-line payment equipment and transmission data, on-board controller is connect with internet communication equipment by USB line
And transmission data, on-board controller is connect by RJ45 lines with local area network communication equipment and transmission data.
In the present embodiment, remote monitoring subsystem includes：Remote data center and remote monitoring platform, the two pass through nothing
Line network connection and transmission data.
As shown in Fig. 2, the intelligent failure diagnosis method for the self-service reprographic printing system shared based on internet, the intelligence
Method for diagnosing faults, step flow are as follows：
(1) detect whether that carbon dust is very few
It is respectively c by the nearest n sensing data of carbon dust detector acquisition1、c2……cn, then biography can be obtained by following formula
Feel data mean value caver, the wherein numerical value of n is adjusted according to field condition, value range 8-15：
By the sensing data mean value c obtained by above-mentioned calculatingaver, carbon dust surplus C can be obtained by following formulaleft, wherein cmaxWith
cminMaxima and minima in respectively n sensing data, κ are compensation coefficient, and numerical value is adjusted according to field condition
It is whole, value range 0.4-0.6：
Cleft=κ (1+sin (π/(cmax-cmin)·(caver-(cmax-cmin)/2))) \*MERGEFORMAT (11)
The carbon dust surplus C obtained by above formulaleft, and can obtain according to the following formula whether the very few identifier F of carbon dustc, wherein
CSleftFor carbon dust alarming threshold value, numerical value is adjusted according to field condition, value range 0.10-0.15, when detection carbon dust
F when very fewcIt is 1：
Fc=sgn (CSleft-Cleft) \*MERGEFORMAT (12)
(2) detect whether that paper is very few
It is p by the sensing data that paper detection obtains, then paper surplus P can be obtained by following formulaleft, wherein τ is strong
Positive coefficient, numerical value are adjusted according to field condition, value range 80-120：
The paper surplus P obtained by above formulaleft, and can obtain according to the following formula whether the very few identifier F of paperp, wherein
PSleftFor paper alarming threshold value, numerical value is adjusted according to field condition, value range 30-50, when detection paper is very few
When FpIt is 1：
Fp=sgn (PSleft-Pleft) \*MERGEFORMAT (14)
(3) detection is communicated with remote data center
Network connecting request being sent to remote data center from on-board controller and starting timer, timer time is denoted as
tnet, stop timer after receiving data center and replying, and start network connecting request next time；
By above-mentioned timer time tnet, and can show whether there are communication failures with remote data center according to the following formula
Identifier Fnet, wherein tSnetFor Connection Time threshold values, numerical value is adjusted according to field condition, value range 800-
1000, F when with remote data center communication failurenetIt is 1：
Fnet=sgn (tSnet-tnet) \*MERGEFORMAT (15)
(4) detection is communicated with paper feeder
Serial ports read requests are sent from on-board controller to paper feeder, read the number of paper feeder storage inside position
According to, and starting timer, timer time is denoted as tser, stop timer when reading the numerical value of non-empty, and start next time
Serial ports read requests；
By above-mentioned timer time tser, and can show whether there are the marks of communication failure with paper feeder according to the following formula
Know symbol Fser, wherein tSserFor Connection Time threshold values, numerical value is adjusted according to field condition, value range 300-500,
F when with paper feeder communication failureserIt is 1：
Fser=sgn (tSser-tser) \*MERGEFORMAT (16)
(5) fault level is evaluated
By the F obtained by above-mentioned calculatingc、Fp、Fnet、Fser, fault level G, the wherein bigger expression of G values can be obtained by following formula
Failure severity is higher：
(6) startup separator is alarmed
Corresponding fault warning is made by the fault level G obtained by above-mentioned calculating；As 2≤G<Only to remote server when 5
Send fault data；Local fault alarm will be started as 5≤G, need to carry out Emergency Maintenance.
The above, only presently preferred embodiments of the present invention, are not intended to limit the invention, every skill according to the present invention
Art essence should be included in technical solution of the present invention to any trickle amendment, equivalent replacement and improvement made by above example
Protection domain within.
Claims (5)
1. a kind of intelligence method for diagnosing faults for the self-service reprographic printing system shared based on internet, which is characterized in that the intelligence
Energy method for diagnosing faults includes the following steps：
(1) detect whether that carbon dust is very few
It is respectively c by the nearest n sensing data of carbon dust detector acquisition1、c2……cn, then sensing number can be obtained by following formula
According to mean value caver, the wherein numerical value of n is adjusted according to field condition, value range 8-15：
By the sensing data mean value c obtained by above-mentioned calculatingaver, carbon dust surplus C can be obtained by following formulaleft, wherein cmaxWith cminPoint
Maxima and minima that Wei be in n sensing data, κ is compensation coefficient, and numerical value is adjusted according to field condition, value
Ranging from 0.4-0.6：
Cleft=κ (1+sin (π/(cmax-cmin)·(caver-(cmax-cmin)/2))) \*MERGEFORMAT (11)
The carbon dust surplus C obtained by above formulaleft, and can obtain according to the following formula whether the very few identifier F of carbon dustc, wherein CSleft
For carbon dust alarming threshold value, numerical value is adjusted according to field condition, value range 0.10-0.15, when detection carbon dust is very few
When FcIt is 1：
Fc=sgn (CSleft-Cleft) \*MERGEFORMAT (12)
(2) detect whether that paper is very few
It is p by the sensing data that paper detection obtains, then paper surplus P can be obtained by following formulaleft, wherein τ is that correction is
Number, numerical value are adjusted according to field condition, value range 80-120：
The paper surplus P obtained by above formulaleft, and can obtain according to the following formula whether the very few identifier F of paperp, wherein PSleft
For paper alarming threshold value, numerical value is adjusted according to field condition, value range 30-50, the F when detection paper is very fewp
It is 1：
Fp=sgn (PSleft-Pleft) \*MERGEFORMAT (14)
(3) detection is communicated with remote data center
Network connecting request being sent to remote data center from on-board controller and starting timer, timer time is denoted as tnet,
Stop timer after receiving data center and replying, and starts network connecting request next time；
By above-mentioned timer time tnet, and can show whether there are the marks of communication failure with remote data center according to the following formula
Accord with Fnet, wherein tSnetFor Connection Time threshold values, numerical value is adjusted according to field condition, value range 800-1000, when
With F when remote data center communication failurenetIt is 1：
Fnet=sgn (tSnet-tnet) \*MERGEFORMAT (15)
(4) detection is communicated with paper feeder
Serial ports read requests are sent from on-board controller to paper feeder, read the data of paper feeder storage inside position,
And starting timer, timer time is denoted as tser, stop timer when reading the numerical value of non-empty, and start and go here and there next time
Mouth read requests；
By above-mentioned timer time tser, and can show whether there are the identifiers of communication failure with paper feeder according to the following formula
Fser, wherein tSserFor Connection Time threshold values, numerical value is adjusted according to field condition, value range 300-500, when with
F when paper feeder communication failureserIt is 1：
Fser=sgn (tSser-tser) \*MERGEFORMAT (16)
(5) fault level is evaluated
By the F obtained by above-mentioned calculatingc、Fp、Fnet、Fser, fault level G, the wherein bigger expression failure of G values can be obtained by following formula
Severity is higher：
(6) startup separator is alarmed
Corresponding fault warning is made by the fault level G obtained by above-mentioned calculating；As 2≤G<It is only sent to remote server when 5
Fault data；Local fault alarm will be started as 5≤G, need to carry out Emergency Maintenance.
2. the intelligent failure diagnosis method of the self-service reprographic printing system according to claim 1 shared based on internet,
It is characterized in that, the self-service reprographic printing system shared based on internet includes bottom sensing subsystem, human-computer interaction
System, remote monitoring subsystem three parts, are connected between the bottom sensing subsystem and human-machine interaction subsystem by USB line
It connects and transmission data, by wireless network connection and number is transmitted between the human-machine interaction subsystem and remote monitoring subsystem
According to.
3. the intelligent failure diagnosis method of the self-service reprographic printing system shared based on internet according to claim 2,
It is characterized in that, the bottom sensing subsystem includes：High-definition camera, light sensor, light compensating lamp, printer, carbon dust
Detector, paper detection, fault alarm, infrared detector, infrared camera, infrared range-measurement system, paper feeder, paper
Piling device；
Wherein, high-definition camera is connect with expansion interface by USB line and transmission data, light sensor pass through with expansion interface
Simultaneously transmission data, light compensating lamp are connect with expansion interface by two-line cable for two-line cable connection, printer and expansion interface
By USB line connection and transmission data, carbon dust detector is connect by two-line cable with expansion interface and transmission data, paper
Detector is connect by two-line cable with expansion interface and transmission data, and fault alarm passes through two-wire system electricity with expansion interface
Cable connection and transmission data, infrared detector is connect by two-line cable with expansion interface and transmission data, infrared camera
It is connect by two-line cable with expansion interface and transmission data, infrared range-measurement system is connect with expansion interface by two-line cable
And transmission data, paper feeder is connect by two-line cable with expansion interface and transmission data, paper piling device and extension
Interface passes through two-line cable connection and transmission data.
4. the intelligent failure diagnosis method of the self-service reprographic printing system shared based on internet according to claim 2,
It is characterized in that, the human-machine interaction subsystem includes on-board controller, touch display screen, on-line payment equipment, internet
Communication equipment, local area network communication equipment；
Wherein, on-board controller and touch display turn RJ45 lines by DC3.5 and connect and transmission data, on-board controller with
Line payment devices are connect and are passed by USB line with internet communication equipment by USB line connection and transmission data, on-board controller
Transmission of data, on-board controller is connect by RJ45 lines with local area network communication equipment and transmission data.
5. the intelligent failure diagnosis method of the self-service reprographic printing system shared based on internet according to claim 2,
It is characterized in that, the remote monitoring subsystem includes：Remote data center and remote monitoring platform, the two pass through wireless network
Network connection and transmission data.
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| CN112558570A (en) * | 2020-12-08 | 2021-03-26 | 南京赛德菱智能科技有限公司 | High-safety intelligent home control system |
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Inventor after: Xu Zhipeng Inventor after: Liu Wei Inventor after: Jin Xipeng Inventor after: Wang Xilong Inventor after: Zhu Yu Inventor after: Zhang Bozhong Inventor after: Qi Lulu Inventor before: Liu Wei Inventor before: Xu Zhipeng Inventor before: Jin Xipeng Inventor before: Wang Xilong Inventor before: Zhu Yu Inventor before: Zhang Bozhong Inventor before: Qi Lulu |
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