CN1564557A - Intelligent maintenance system of colour spraying draught machine based on network - Google Patents
Intelligent maintenance system of colour spraying draught machine based on network Download PDFInfo
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- CN1564557A CN1564557A CN 200410017705 CN200410017705A CN1564557A CN 1564557 A CN1564557 A CN 1564557A CN 200410017705 CN200410017705 CN 200410017705 CN 200410017705 A CN200410017705 A CN 200410017705A CN 1564557 A CN1564557 A CN 1564557A
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Abstract
The system comprises: the module for collection of signals from sensor, the signal process module, the performance prediction module, the wireless communication module and the sever. The module for collection of signal from sensor takes charge of collecting signals from multi-path sensor. The signal process module analyzes the signals from sensor and extracts the feature of time-domain or frequency-domain. The performance prediction module first uses the principle component analysis method to extract the feature vector presenting the performance of large format color inkjet printer, then uses neural net method to make data fusion of the feature vector, and to predict and recognize the state of the large format color inkjet printer. The wireless communication module sends the data information to the database in the server by using GPRS wireless transmission mode.
Description
Technical field
The present invention relates to a kind of based on network color spray drawing machine intelligent maintenance system, adopt observation and control technology, wireless communication technique and network technology, in conjunction with equipment performance assessment and Forecasting Methodology, realize the remote monitoring and the intelligent maintenance of color spray drawing machine based on artificial intelligence.Belong to equipment remote monitoring and maintenance technology field.
Background technology
Based on the large format of air brushing outdoor posters, billboard, exhibition advertisement etc., high-speed, high-precision color spray drawing machine (being called for short the air brushing machine), belong to typical high-tech electromechanical integrated product, integrate computer technology, digital control technology, multiple core technologies such as particulate outburst ink-jet technology, high speed communication interfacing and graph and image processing technology.Along with the development of domestic economy technology, the core technology of this series products is grasped by more domestic companies, has broken the situation that the past produce market is occupied by offshore company always.Domestic air brushing machine market is in the starting stage at present, compare with imported product, home products has certain advantage on price, but market competition is growing more intense, under the little prerequisite of the core technology difference of being grasped, enterprise wants to obtain the leading position in competition, can not only depend on the quality of product and high productivity ratio, and the focus of competition among enterprises has been developed into the competition of service of goods level by the competition of product itself.
Meanwhile, the air brushing machine has increased the needs of user to life-long maintenance greatly as the complexity of electromechanical integrated product, and the user pays attention to the value that the life cycle of after-sale service and product is brought more.After the sort of device fails of past, the attendant rushes towards on-the-spot maintenance mode, for enterprise, drop into lot of manpower and material resources, and the cost that enterprise is safeguarded becomes considerable part among the total operating cost.For the user, fault causes certain damage to equipment, and because the shutdown of air brushing machine can cause enormous economic loss, thereby this maintenance mode is very uneconomic.
Rapid development of network is for addressing this problem the means that provide new.Chinese invention patent (application number: 00129331) announced a kind of by PC, the air conditioner long distance control system that modulator-demodulator and program controlled telephone switching network constitute, this by telephone wire and network ways of connecting, data transmission bauds is very slow.Chinese invention patent (application number 00117125.9) has proposed a kind of long-range refrigerator method for supervising and system based on the Internet, and it stresses is monitoring and failure diagnosis to intelligent refrigerator, can not play the effect of trouble-saving.Study the quick-witted energy of a kind of new type colorful air brushing maintenance system, operation conditions to the air brushing machine that is dispersed in different regions is carried out remote monitoring, and the behaviour in service information of collecting each air brushing machine, for adjusting the production and selling strategy, enterprise provides foundation, have important practical significance.
Summary of the invention
The objective of the invention is at the deficiencies in the prior art, a kind of based on network color spray drawing machine intelligent maintenance system is provided, by the performance condition of air brushing machine being assessed and is predicted the generation of avoiding fault, improve air brushing machine reliability of operation, collect the operating position of different regions air brushing machine simultaneously by network, for product improvement, consumptive material sale, market strategy adjustment etc. provide the data support, realize the remote monitoring and the intelligent maintenance of air brushing machine.
In order to realize this purpose, based on network color spray drawing machine intelligent maintenance system of the present invention mainly comprises on-site supervision PC, wireless communication module and server, the house dog intelligence body that the on-site supervision PC comprises the collecting sensor signal module, is made up of signal processing module and performance prediction module.The collecting sensor signal module is responsible for gathering and is installed in air brushing machine sensor in different positions signal, and signal processing module is analyzed sensor signal, extracts time domain or frequency domain character.Performance prediction module at first adopts principal component analytical method, the characteristic vector of abstraction reaction air brushing machine performance from a plurality of features, adopt neural net method that the characteristic vector of input is merged then, the state of air brushing machine is discerned, contingent fault is predicted.Wireless communication module is connected with the internet by the mode of wireless data transmission, the analysis result of house dog intelligence body and other important data message are sent in the database on the server, and other user can browse operation conditions and other data message of air brushing machine by the client/server mode.
System of the present invention specifically comprises:
1, the collecting sensor signal module is responsible for gathering the sensor signal that is installed on the color spray drawing machine.The monitored object color spray drawing machine can be divided into several separate parts such as horizontal word car kinematic system, vertical paper feed system, ink feeding system, air brushing head, crossbeam by structure, and according to the characteristics of each several part, need to determine the physical quantity of measurement and control, corresponding transducer is installed in place.The collecting sensor signal module can be realized by the A/D card that is installed on the supervisory control comuter, can carry out the multichannel sensor signals collecting, and the multiple signals of its output link to each other with signal processing module in the house dog intelligence body.
2, house dog intelligence body comprises sensor signal processing module and air brushing machine performance prediction module.Signal processing module is analyzed the multiple signals of being gathered, and extracts time domain or frequency domain character, as the input of performance prediction module.Performance prediction module at first adopts the method for principal component analysis to remove correlation between a plurality of features, keeping under the constant substantially situation of original characteristic information, utilize a few principal component that forms after the former characteristic quantity linear combination, constitute the characteristic vector of reaction air brushing machine performance.Adopt then based on the method for cerebellum Model Neural (being called for short little brain model) characteristic vector is carried out information fusion.The assessment to the quantification of equipment performance is represented in the output of little brain model, and can predict the performance degradation of equipment.The hardware platform of house dog intelligence body adopts ordinary PC.
3, wireless communication module hardware mainly is made of GPRS (GPRS) wireless network card.Its function mainly is that the performance information of equipment and other useful data message are sent on the server with wireless mode.GPRS can provide the Packet data service up to 115kbps speed, and this speed makes and comprises that the transmission of multimedia service in wireless network of picture, speech and video becomes possibility.Can realize the connection that client arrives server to client, client by GRRS.To be that air brushing is quick-witted can safeguard that the benefit of bringing mainly contains to GPRS: the transmission rate height, turn-on time is short, resource utilization is high, expense is cheap, always online whenever and wherever possible.
4, server: the important information that is mainly used to store relevant printer capability, other important data message also can send on the server as required, the operating position of printer ink, paper for example, the operating time of printer every day, a situation arises etc. for fault, and these data all are stored in the associated databases, constantly the data message of accumulation can carry out statistical analysis, improve product design as enterprise, developing business opportunity, the foundation of adjustment market strategy.
System of the present invention can be by the assessment and the prediction of air brushing machine performance degradation, and trouble-saving generation by wireless communication technique, realizes between the different user and the network interconnection between different user and the server.Realized the intelligent maintenance of air brushing machine in general, reduced maintenance cost, thereby reduced production cost, improved enterprise competitiveness, simultaneously, various important informations can also have been collected and added up, for the decision-making of enterprise provides true foundation.
Description of drawings
Fig. 1 is the schematic diagram that the present invention is based on the quick-witted energy of the air brushing maintenance system of network.
Fig. 2 is the functional block diagram of maintenance system of the present invention.
Embodiment
Below in conjunction with accompanying drawing system of the present invention is further described.
System of the present invention forms as shown in Figure 1, mainly comprises on-site supervision PC, wireless communication module and server.The house dog intelligence body that the on-site supervision PC comprises the collecting sensor signal module, is made up of signal processing module and performance prediction module, the multiple sensor that is provided with in the input of collecting sensor signal module and the color spray drawing machine links to each other, the output of collecting sensor signal module links to each other with the input of signal processing module, the output of signal processing module links to each other with the input of performance prediction module, the output of performance prediction module links to each other with wireless communication module, realizes the connection of client to client, client to server by wireless communication module.
The signal that the collecting sensor signal module is gathered in color spray drawing machine comprises: voltage, the current signal of laterally gathering DC servo motor in the word car kinematic system; Vertically gathering voltage, the electric current of stepping motor and surveying paper and platen signal in the paper feed system; The temperature signal of air brushing head; The vibration signal of cross slide way; The liquid level sensor signal of ink feeding system etc.Multiple signals stick into the line data collection by the AC6111A/D that is installed on the on-the-spot supervisory control comuter, maximum sample rate: 400KHz, and input range is able to programme, supports multiple triggering form.Sampled data is analyzed by the signal processing module in the house dog intelligence body.
Signal processing module in the house dog intelligence body is analyzed initial data, extracts the characteristic quantity that can represent air brushing machine state or performance.Sensor signal processing method comprises: amplitude analysis method (maximin, peak-to-peak value); Statistical analysis technique (as average, variance, mean square deviation); Fourier transform or wavelet transformation etc.These signal processing methods are realized with modular form, can carry out different processing with a kind of signal.Signal enters performance prediction module after treatment.
Performance prediction module is at first by principal component analysis, utilize several incoherent generalized variables to replace original more correlated variables, not only removed the correlation between the data, and these incoherent generalized variables can reflect the most information that former variable provides, and make the processing of back simple.Obtain after the principal component analysis can the characterization device performance main information as the input of little brain model, little brain model is finished the prediction that the identification of equipment current state and equipment performance are degenerated.The training of cerebellum Model Neural can be divided into two kinds of situations, when the data when the air brushing machine is in normal and various malfunction are all more complete, data in the time of can adopting various different conditions are trained neural net, suppose the air brushing machine just often neural net be output as 1, when being in the different faults state, network is output as-1 ,-2 ,-3 etc.By training, make it set up corresponding relation between input vector and the different conditions, the network after the training promptly can be used for the monitoring of air brushing machine performance.In the monitor procedure of reality, when output during near certain known state of the output of little brain model, represent the air brushing machine to be in this state.During data when only having normal condition, adopt these data that neural net is trained.The output of network departs from 1 more, illustrates that then the air brushing machine departs from normal condition more, determines whether reporting to the police or to take suitable maintenance measure according to the corresponding threshold values of formulations such as experience and handbook.Air brushing machine performance information is sent into wireless communication module and is carried out transfer of data.
Wireless communication module with the wireless communication mode based on GPRS, deposits the performance information of air brushing machine the device performance data storehouse of server in, can be for browsing at any time, checking.For GPRS, telecommunications company comes dynamic assignment IP (procotol) address by DHCP (DHCP) server, for requiring point-to-point, or the connection of putting multiple spot, the IP address of two points that will connect is unfixed, therefore the present invention has the server of static ip address to finish by one, we are referred to as address analyzing server, after each node connects the Internet, certain interval of time just is connected to address analyzing server and removes to exchange IP address list, goes to set up TCP (transmission control protocol) or UDP (User Datagram Protoco (UDP)) connection according to real-time address list then.Software based on the wireless data communication of GPRS mainly comprises three parts: the one, and the application program on the air brushing machine on-site supervision computer, the 2nd, that moves on the server provides the program of service for the user, the 3rd, for the ease of staff's monitoring, obtain the program of monitor message from server.Long-range air brushing machine is connected with the socket that is connected to of server, the program that monitor message is provided on the server is the Servlet program that Web Server (webserver) provides, other user is as long as open the address of appointment with network browsing instrument (as the web browser of Microsoft), import some necessary information, just can in applet Applet, obtain the monitor message of required relevant air brushing machine state, frequency as the generation of air brushing machine different faults, position etc., these information can feed back to the research and development and the maintenance centre of air brushing machine product, as shown in Figure 2, thus provide foundation for the improvement of product later on.
Other important informations of air brushing machine behaviour in service, comprise that the air brushing machine of different model also can send to by wireless communication module in the data in server storehouse as required in the distribution situation of different regions, the air brushing machine operating time of every day, the operating position of different colours ink, the operating position of air brushing medium (blank sheet of paper, grid, nylon, painting canvas etc.), create the usage log of air brushing machine.These information can feed back to after services of product shown in Figure 2 and marketing center, and air brushing machine manufacturer considers the percent saturation of market of this area according to the air brushing machine in the operating time of the distribution situation of different regions and air brushing machine, adjusts sales tactics; Operating position by timely grasp ink and air brushing medium, can before sending purchase information, the user deliver goods to the customers earlier, and shoot the arrow at the target, win the client with quality service, strengthen enterprise competitiveness, and the developing by consumptive material market really realizes the intelligent maintenance of air brushing machine for oneself winning more profit.
Claims (2)
1 one kinds of based on network color spray drawing machine intelligent maintenance systems, comprise the on-site supervision PC, wireless communication module and server, it is characterized in that the on-site supervision PC comprises the collecting sensor signal module, the house dog intelligence body of forming by signal processing module and performance prediction module, the multiple sensor that is provided with in the input of collecting sensor signal module and the color spray drawing machine links to each other, the output of collecting sensor signal module links to each other with the input of signal processing module, the output of signal processing module links to each other with the input of performance prediction module, the output of performance prediction module links to each other with wireless communication module, realize that by wireless communication module client is to client, client is to the connection of server, the collecting sensor signal module is gathered the multiple sensor signal in the color spray drawing machine, analyze by signal processing module, extract time domain or frequency domain character, performance prediction module at first adopts principal component analytical method to extract the characteristic vector of representing air brushing machine performance in the sensor signal, adopt cerebellum Model Neural method that characteristic vector is carried out information fusion then, current state to the air brushing machine is discerned, quantitative assessment and prediction are carried out in degeneration to air brushing machine performance, the output of performance prediction module sends in the data in server storehouse by wireless communication module, and realizes that by wireless communication module client is to client, client is to the connection of server.
2, based on network color spray drawing machine intelligent maintenance system as claimed in claim 1, it is characterized in that the signal that described collecting sensor signal module is gathered comprises in color spray drawing machine: voltage, the current signal of the DC servo motor in the horizontal word car kinematic system, the voltage of the stepping motor in vertical paper feed system, electric current and survey paper and platen signal, the temperature signal of air brushing head, the vibration signal of cross slide way, the liquid level sensor signal of ink feeding system.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105915607A (en) * | 2016-04-19 | 2016-08-31 | 成都晨越建设项目管理股份有限公司 | Remote monitoring informationization system for project supervision |
| CN106874833A (en) * | 2016-12-26 | 2017-06-20 | 中国船舶重工集团公司第七0研究所 | A kind of mode identification method of vibration event |
| CN108647997A (en) * | 2018-04-13 | 2018-10-12 | 北京三快在线科技有限公司 | A kind of method and device of detection abnormal data |
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2004
- 2004-04-15 CN CN 200410017705 patent/CN1564557A/en active Pending
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105915607A (en) * | 2016-04-19 | 2016-08-31 | 成都晨越建设项目管理股份有限公司 | Remote monitoring informationization system for project supervision |
| CN106874833A (en) * | 2016-12-26 | 2017-06-20 | 中国船舶重工集团公司第七0研究所 | A kind of mode identification method of vibration event |
| CN106874833B (en) * | 2016-12-26 | 2021-05-28 | 中国船舶重工集团公司第七一0研究所 | Vibration event pattern recognition method |
| CN108647997A (en) * | 2018-04-13 | 2018-10-12 | 北京三快在线科技有限公司 | A kind of method and device of detection abnormal data |
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