CN102054221B - Visual monitoring method for RMTSS (reliability, maintainability, testability, supportability, safety) characters during manufacturing process of complex products - Google Patents

Visual monitoring method for RMTSS (reliability, maintainability, testability, supportability, safety) characters during manufacturing process of complex products Download PDF

Info

Publication number
CN102054221B
CN102054221B CN2010105763063A CN201010576306A CN102054221B CN 102054221 B CN102054221 B CN 102054221B CN 2010105763063 A CN2010105763063 A CN 2010105763063A CN 201010576306 A CN201010576306 A CN 201010576306A CN 102054221 B CN102054221 B CN 102054221B
Authority
CN
China
Prior art keywords
rmtss
data
function
model
class
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN2010105763063A
Other languages
Chinese (zh)
Other versions
CN102054221A (en
Inventor
刘林林
任羿
曾声奎
孙博
郭健彬
冯强
马纪明
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
SHAAXI KEWEI ZHUOLI TECHNOLOGY CO.,LTD.
Original Assignee
Beihang University
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Beihang University filed Critical Beihang University
Priority to CN2010105763063A priority Critical patent/CN102054221B/en
Publication of CN102054221A publication Critical patent/CN102054221A/en
Application granted granted Critical
Publication of CN102054221B publication Critical patent/CN102054221B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Landscapes

  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The invention relates to a visual monitoring method for RMTSS (reliability, maintainability, testability, supportability, safety) characters during manufacturing process of complex products, and the method comprises the following steps: 1) selecting to-be-monitored RMTSS character information elements under digitalized environment for manufacturing products; 2) establishing a status enquiry and system control model through a self-programmed procedure, wherein the status enquiry and system control model is used for enquiring the technical status of products and updating data of the control model; 3) establishing an RMTSS data service model through the self-programmed procedure, wherein the RMTSS data service model is used for realizing status enquiry interface of the model in the step 2 and the digitalized environment and acquiring the to-be-monitored RMTSS character information; 4) establishing an RMTSS data storage model through the self-programmed procedure, wherein the RMTSS data storage model is used for storing the RMTSS data acquired from the step 3 and accessing the acquired data; 5) establishing an RMTSS data analysis model through the self-programmed procedure, wherein the RMTSS data analysis model is used for analyzing the data acquired in the step 4 into a data structure which is easy for imaging display; and 6) establishing an RMTSS data monitoring display model through the self-programmed procedure, wherein the RMTSS data monitoring display model is used for selecting a proper controller to display graphics according to the classification of the RMTSS character information. Besides, the visual monitoring method for the RMTSS characters during the manufacturing process of complex products provided by the invention can provide a decision-making base for the RMTSS level guarantee in an overall process.

Description

A kind of complex product development process RMTSS characteristic method for visually monitoring
Affiliated technical field
The invention provides a kind of complex product development process RMTSS characteristic method for visually monitoring, it is applicable to the comprehensive visual control that the product performances such as reliability in the complex product development process, maintainability, protection, testability, security (RMTSS) are realized situation, so that technology decision-making person pinpoints the problems in time, take in time counter-measure.The technical field of the invention is the reliability engineering technical field.
Background technology
In the development process of complex product, need to understand timely the situation that realizes of RMTSS characteristic, find weak link, in order to adopt relevant technology and ladder of management, guarantee the realization of RMTSS technical indicator.
But be at present mainly by all kinds of design analysis documents are evaluated to the monitoring of overall process RMTSS characteristic, and with the mode manually the gathered refinement of summarizing.The subject matter of this monitor mode is the timely understanding that can not accomplish the RMTSS characteristic, product design supervisor and designer can not dynamically control the variation tendency of RMTSS characteristic, once the situation that design objective can not arrive occur, the time and the expense cost that re-start design iteration will improve greatly.In addition, with manual type, much information is gathered, efficiency is low, and mistake occurs most probably.
Development along with infotech, the integration capability of product development and RMTSS information and process greatly strengthens, all kinds of RMTSS data in the product development process can effectively share on the network and transmit, but therefore product-based development digitized environment, can reflect that by each link in product design process the control situation of RMTSS key element and the situation that realizes of index unified instant collection, processing and demonstration.
Summary of the invention
A kind of complex product development process of the present invention RMTSS characteristic method for visually monitoring, the problem of its purpose and solution is: reliability Work progress and the monitoring of reliability status level of filling up current overall process can not be real-time, the blank of efficiently carrying out, provide a kind of support product development digital Platform to realize visual overall process reliability Work progress monitoring and reliability status level method for supervising, the method extracts the RMTSS data from the product development digital Platform, through unified analysis and processing, with visual means such as charts, export, make Design Supervisor and designer timely, accurately, system is comprehensively controlled the situation that realizes of RMTSS work progress and RMTSS characteristic in the product development process, in order to guarantee the RMTSS level in the product development overall process, reduce design iteration, reduce design cost.
A kind of complex product development process of the present invention RMTSS characteristic method for visually monitoring, its concrete steps are as follows:
Step 1, selected RMTSS characteristic information key element to be monitored in the product development digitized environment
Set main monitoring key element of each stage of product development, obtain flow process and the associated RMTSS information of RMTSS job from the product development digitized environment, can comprise RMTSS design analysis data, test figure, historical information data etc.
Step 2, set up status poll and system control model
Described model is the model that certainly programs, and its model component comprises two program classes: status poll class, instruction send class.
A) described status poll class comprises three computer program functional functions: timing function, status poll function, instruction send the class call function; The realization of function all realizes by computer program, the timing function is provided certainly by program language, the status poll function serves to realize by the described RMTSS Data Web of invocation step three, and instruction sends the class call function and calls the run function that following instruction sends class.
B) described instruction transmission class comprises two computer program functional functions: run function and instruction send function; Run function is for being sent by the instruction of above-mentioned status poll class the function that class is called, and instruction sends function can send message to following step 3, four described models.
Described status poll and system control model method flow are: by using a timing function, set its fixedly start-up time interval, query function of start by set date sends inquiry request, to obtain the product technology state, whether change, attonity when receiving that response message is no, when receiving that response message is when being, send the enabled instruction of class run function by call instruction and send class, instruction sends the class run function and starts, and then call instruction sends function and sends instruction to following step 3, the described model use of step 4.
Step 3, set up RMTSS data, services model
Described RMTSS data, services model forms and comprises three parts for the model that certainly programs, its model: RMTSS data receiver and parsing class, status poll Web service and the service of RMTSS Data Web.
A) described RMTSS data receiver comprises three computer program functional functions with the parsing class: status poll function, data pick-up function, Data Analysis function; The product technology state (version release etc.) of the application programming interfaces (API) of this status poll function call product development digitized environment; The product RMTSS data message that this data pick-up function call product development digitized environment API obtains RMTSS job procedure information and is associated; The Data Analysis that this Data Analysis function obtains the data pick-up function is the XML form.
B) described status poll Web service is the computer program functional function that Base on Web service technology is realized: the product technology status information in the status poll function of status poll function call above-mentioned steps in a) the product development digitized environment that returns.
C) the computer program functional function that the service of described RMTSS Data Web also realizes for the Web-based services technology: function is issued in the service of RMTSS Data Web, and by the step in step 2, XML formatted data file distribution a) is Web service.
Described RMTSS data, services model method flow process is: the status poll service function in the status poll Web service calls the status poll function of RMTSS data receiver class, the status poll function inquire about the product technology state from the product development digitized environment and by status information feedback to the status poll Web service; When the status poll function is received the Data Update instruction from the step 2 model, start log-on data and extract function to obtain the RMTSS data from the product development digitized environment, these data are resolved to the document of XML form by the Data Analysis function, last RMTSS Data Web service issue function is issued as Web service by these XML document, for the model of setting up in following step 4, calls.
Step 4, set up the RMTSS Data Storage Models
Described RMTSS Data Storage Models is the database from program model and designed, designed.
This model that certainly programs is a RMTSS database access class.Described RMTSS database access class comprises two computer program functional functions: data storage function, data function reading.The data storage function is realized its database memory function in conjunction with SQL statement; Described data function reading is responsible for reading all data recording from database.
The database of this designed, designed comprises 4 database tables, preserves respectively RMTSS workflow information, product information, product RMTSS parameter information, product critical failure pattern information.
Described RMTSS Data Storage Models method flow is: when RMTSS database access class receives from the Data Update instruction of step 2 model, its data storage function starts the up-to-date RMTSS data of RMTSS Data Web service acquisition in invocation step three and it is saved in above-mentioned database, the data function reading reads the data-base recording that all current productions are relevant from database simultaneously, for the model of setting up in following step 5, calls.
Step 5, set up the RMTSS Data Analysis Model
Described RMTSS Data Analysis Model is the model that certainly programs, and its model forms and comprises two computer program classes: data read class, data analysis class.
These data read class and comprise three computer program functional functions: flow process function reading, parameter function reading, critical failure pattern function reading.These three functions obtain the information such as RMTSS flow data, RMTSS supplemental characteristic, critical failure pattern in the data function reading from step 3 respectively.
This data analysis class comprises three computer program functional functions: flow process analytical function, Parameter analysis of electrochemical function, critical failure pattern analytical function.These three functions are corresponding to above-mentioned three functions, be flow process function reading, parameter function reading, critical failure pattern function reading, respectively its RMTSS flow data is resolved to the tree form data structure of XML form, its RMTSS supplemental characteristic is resolved to (the time, value) two-dimensional array of form, resolve to the data list set by its critical failure pattern information.
Described RMTSS Data Analysis Model method flow is: the flow process function reading starts, from step 3, the data access class is transferred the RMTSS flow data, this flow format is the tables of data record set, it is resolved to the XML form here, so that shown model calls, is shown as the flow process figure; The Parameter analysis of electrochemical function starts, and from step 3, the data access class is transferred RMTSS parametric data table record set, it is treated to the two-dimensional array set of (time, value) form, so that shown model calls formation curve; Critical failure pattern analytical function starts, and from step 3, the data access class is transferred critical failure mode data table record collection, directly transfers it to list collection, so that shown model calls the generation list information.
Step 6, set up RMTSS data monitoring display model
This RMTSS data monitoring display model is the model that certainly programs, and it comprises three computer program classes: process flow diagram shows that class, parametric line show class, critical failure mode list class.
A) described process flow diagram shows that class is mainly realized by the process flow diagram control of a non-content of the present invention.
B) described parametric line shows that class is realized by the chart control of a non-content of the present invention.
C) described critical failure mode list class is realized by the list control of a non-content of the present invention.
Described RMTSS data monitoring display model method flow is: flow process shows that the data source of class is tied to the RMTSS flow data of the XML form of step 4 generation, parametric line class data source is tied to step 4 and generates the set of RMTSS parameter two-dimensional array, and critical failure pattern information class data source is tied to the critical failure mode list set that step 4 generates.By these visual program controls, can provide the RMTSS data message to the user, as visual informations such as parametric plot, critical failure mode list.
Step 7, the relation of the procedural model by above step 2 to six foundation as shown in Figure 2, formed thus and realized RMTSS characteristic Visualized Monitoring System model framework, this framework be input as RMTSS work item data, the RMTSS supplemental characteristic in the product development digitized environment; Be output as visual RMTSS process flow diagram, visual RMTSS parameter change curve, the monitored contents such as visual critical failure mode list.The commercial product data management platform that the product development digitized environment of this framework and interface thereof are non-content of the present invention.
A kind of complex product development process of the present invention RMTSS characteristic method for visually monitoring, its advantage is: it has realized a kind of complex product development process RMTSS characteristic method for visually monitoring, it can graphically show RMTSS work item progress in development process and RMTSS parameter level, and can further pass through change color, the means such as message transmission, the unfavorable trend that the RMTSS job of omitting in the product development process and RMTSS status level are occurred is warned, realize RMTSS work and the parameter visual control of comprehensive product development process, for the RMTSS level of overall process guarantees to provide decision-making foundation.
The accompanying drawing explanation
The FB(flow block) that Fig. 1 is the method for the invention
Fig. 2 is the model framework principle schematic that method of the present invention relates to
Fig. 3 is status poll of the present invention and system control model functional sequence block diagram
Fig. 4 is RMTSS data, services model functional sequence block diagram of the present invention
Fig. 5 is RMTSS Data Storage Models functional sequence block diagram of the present invention
Fig. 6 is RMTSS Data Analysis Model functional sequence block diagram of the present invention
Fig. 7 is RMTSS data monitoring display model functional sequence block diagram of the present invention
Fig. 8 is the database schematic diagram in RMTSS Data Storage Models of the present invention
Fig. 9 is overall model framework functions of the present invention and detailed functions FB(flow block)
Figure 10 is monitoring interface schematic diagram of the present invention
Embodiment
The condition of implementing: realize a kind of complex product development process of the present invention RMTSS characteristic method for visually monitoring, need to rely on product development digitized environment and the API thereof of non-content of the present invention, be mainly product data management (PDM) platform, the Teamcenter of Siemens Company of take is here set forth as example.
The embodiment explanation: a kind of complex product development process of the present invention RMTSS characteristic method for visually monitoring, as shown in Figure 1, embodiment is described as follows the FB(flow block) of the method:
Step 1, at Teamcenter, RMTSS monitor message key element is set, control point is the workflow in Teamcenter, and the present embodiment selects product node state of the art, MTBF, MTBCF and product critical failure pattern as visual RMTSS characteristic monitored object.(as shown in the table)
Figure BSA00000375575800061
Step 2, set up status poll and system control model, realizes RMTSS status poll and system control model based on computer programming language, and the chief component of this model is realized being respectively: (as in accompanying drawing 2 1. as shown in)
A) status poll class: realize this module based on computer programming language, it is set and called a status poll service every a hour, be arranged in the product technology state of product development digitized environment with detection; The code sample of realizing such is as follows, and the function that this example is only described class forms, and specific implementation is not discussed:
public?class?StatusReauest
{
static?Timer?myTimer=new?Timer(){myTimer.Interval=5000};
private?static?void?TimerEventProcessor(Object?myObject,EventArgsmyEventArgs);
public?bool?StatusRequestFromTeamcenter(string?ProductID);
public?void?StartCommandControl();
}
B) instruction sends class: realize this module based on Microsoft's C#4.0 language, start working after it receives the message call from the status poll class, and send the Data Update instruction to RMTSS data, services model, RMTSS Data Storage Models in turn.
public?class?CommandControl
{
public?void?StartDataUpdate(string?ModelName);
}
Described status poll and system control model method flow be as shown in Figure 3: by using a timing function myTimer, set it and fixedly be spaced apart one hour start-up time, be myTimer.Interval=3600000, query function StatusRequestFromTeamcenter of start by set date sends inquiry request, with the product technology state obtained in Teamcenter, whether change, attonity when receiving that response message is no, when receiving that response message is when being, send class run function StartCommandControl enabled instruction by call instruction and send class, instruction sends the class run function and starts, then call instruction send function StartDataUpdate send instruction to each following step 2 to the described model of step 6.The concrete function flow process is shown in shown in accompanying drawing 3.
Step 3, set up RMTSS data, services model
Described model is the model that certainly programs, and its model component comprises three parts: RMTSS data receiver and parsing class, status poll Web service and the service of RMTSS Data Web.(as in accompanying drawing 2 2. as shown in)
A) described RMTSS data receiver comprises three computer program functional functions with the parsing class: status poll function, data pick-up function, Data Analysis function; The product technology state (version release etc.) of the application programming interfaces (API) of status poll function call product development digitized environment; The product RMTSS data message that data pick-up function call product development digitized environment API obtains RMTSS job procedure information and is associated; The Data Analysis that the Data Analysis function obtains the data pick-up function is the XML form.It realizes that the computer program code example is as follows:
public?class?DataRetriverResolver
{
public?string?QueryStatus(String?ProductID);
public?Object?QueryData(String?ProductID);
public?XmlDocument?ResolveData(String?ProductID);
}
B) described status poll Web service is the computer program functional function that Base on Web service technology is realized: the product technology status information in the status poll function of status poll function call above-mentioned steps in a) the product development digitized environment that returns.
[WebMethod]
public?class?ReauestService
{
public?string?RequestStatus(String?ProductID);
}
C) the computer program functional function that described RMTSS Data Web service also realizes for the Web-based services technology: RMTSS Data Web service issue function is Web service by the XML formatted data file distribution of a) step in step 2.
[WebMethod]
public?class?DataService
{
public?XmlDocument?RMTSSData(String?ProductID);
}
Described RMTSS data, services model method flow process is as shown in Figure 4: the status poll service function RequestStatus in the status poll Web service calls the status poll function QueryStatus of RMTSS data receiver class, the status poll function inquire about the product technology state from the product development digitized environment and by status information feedback to the status poll Web service; When data receiver with resolve class DataRetiverResolver class while receiving the Data Update instruction from the step 2 model, start log-on data and extract function QueryData to obtain the RMTSS data from the product development digitized environment, these data are resolved to the document of XML form by Data Analysis function ResolveData, last RMTSS Data Web service issue function RMTSSData is issued as Web service DataService by these XML document, for the model of setting up in step 3, calls.The concrete function flow process is shown in shown in accompanying drawing 4.
Described XML document form has the characteristic of itself data intension of self-described and the characteristic that easily by computing machine, is generated and resolve, and is below this RMTSS message structure XML document fragment example:
<RMTSSROOT>
<WORKFLOWINFO>
<WORKITEM?NAME=’WF1’FINISHED=’1’/>
<WORKITEM?NAME=’WF2’FINISHED=’1’/>
</WORKFLOWINFO>
<PRODUCTINFO>
<NODE?ID=’1’NAME=’XX’VERSION=’1.0’>
<NODE?ID=’2’NAME=’XX1’VERSION=’1.0’/>
<NODE?ID=’3’NAME=’XX2’VERSION=’1.0’/>
</NODE>
</PRODUCTINFO>
<RMTSSINFO>
PARAM?PRODUCTID=’1’NAME=’MTBF’DATATYPE=’float’VALUE=’1000’UNIT=’h’/>
PARAM?PRODUCTID=’1’NAME=’MTBCF’DATATYPE=’float’VALUE=’5000’UNIT=’h’/>
</RMTSSINFO>
<FMINFO>
<FM?PRODUCTID=’1’NAME=’failuremode1’KEYFM=’1’CAUSE=’cause1’
UPEF?FECT=’upeffect1’FINALEFFECT=’finaleffect’BETA=’0.2’/>
</FMINFO>
</RMTSSROOT>
Step 4, set up the RMTSS Data Storage Models
Described model is the database from program model and designed, designed, and its procedural model is partly a RMTSS database access class.(as in accompanying drawing 2 3. as shown in)
Described RMTSS database access class comprises two computer program functional functions: data storage function, data function reading.The SQL statement of utilizing the data storage function realizes its database memory function; Described data function reading is responsible for reading all data recording from database.
public?class?DataBaseAccessor
{
public?void?SaveDataToDB(object?data,string?TableName);
public?DataTable?GetDataFromDB(string?TableName);
}
The database of described designed, designed comprises 4 database tables, and the database Physical View as shown in Figure 8, is preserved respectively RMTSS workflow information, product information, product RMTSS parameter information, product critical failure pattern information.Comprise 4 database tables, its physical arrangement is shown in shown in accompanying drawing 8: the concrete database table is described as follows shown in table
Figure BSA00000375575800091
Described RMTSS Data Storage Models method flow is: when RMTSS database access class receives from the Data Update instruction of step 1 model, its data storage function SaveDataToDB starts the up-to-date RMTSS data of RMTSS Data Web service acquisition in invocation step two and it is saved in above-mentioned database, data function reading GetDataFromDB reads the data-base recording that all current productions are relevant from database simultaneously, for the model of setting up in step 4, calls.The concrete function flow process is shown in shown in accompanying drawing 5.
Step 5, set up the RMTSS Data Analysis Model
Described model is the model that certainly programs, and its model component comprises two computer program classes: data read class, data analysis class.(as in accompanying drawing 2 4. as shown in)
A) described data read class and comprise three computer program functional functions: flow process function reading, parameter function reading, critical failure pattern function reading.These three functions obtain the information such as RMTSS flow data, RMTSS supplemental characteristic, critical failure pattern in the data function reading from step 3 respectively.
public?class?DataReader
{
public?DataTable?FlowReader();
public?DataTable?ParamReader();
public?DataTable?FailerModesReader();
}
B) described data analysis class comprises three computer program functional functions: flow process analytical function, Parameter analysis of electrochemical function, critical failure pattern analytical function.These three functions corresponding to above-mentioned steps a) described in three functions, respectively its RMTSS flow data is resolved to the tree form data structure of XML form, its RMTSS supplemental characteristic is resolved to (the time, value) two-dimensional array of form, resolve to the data list set by its critical failure pattern information.
public?class?DataToShow
{
public?XMLNode?FlowDiagram(DataTable?flowData);
public?ArrayList?ParamArray();
public?ArrayList?FailerModesList();
}
Described RMTSS Data Analysis Model method flow is: above-mentioned steps b), flow process function reading FlowReader starts, from step 3, the data access class is transferred the RMTSS flow data, this flow format is the tables of data record set, here flow process analytical function FlowDiagram resolves to the XML form by it, so that shown model calls, is shown as the flow process figure; The parameter function reading starts, and from step 3, the data access class is transferred RMTSS parametric data table record set, and Parameter analysis of electrochemical function ParamArray is treated to it two-dimensional array set of (time, value) form, so that shown model calls formation curve; The critical failure pattern reads function F ailureModesReader and starts, from step 3, the data access class is transferred critical failure mode data table record collection, critical failure pattern analytical function FailerModesList directly transfers it to list collection, so that shown model calls the generation list information.The concrete function flow process is shown in shown in accompanying drawing 6.
Step 6, set up RMTSS data monitoring display model
This ingredient is the model that certainly programs, and its model component comprises three computer program classes: process flow diagram shows that class, parametric line show class, critical failure mode list class.(as in accompanying drawing 2 5. as shown in)
D) described flow process shows that class is mainly realized by the process flow diagram control of a non-content of the present invention.FlowControl.DataSource=DataToShow.FlowDiagram();
E) described parametric line shows that class is realized by the chart control of a non-content of the present invention.ChartControl.DataSource=DataToShow.ParamArray();
F) described critical failure mode list class is realized by the list control of a non-content of the present invention.DataListControl.DataSource=DataToShow.FailureModesList();
Described RMTSS data monitoring display model method flow is: flow process shows that the data source of class FlowControl control is tied to the RMTSS flow data DataToShow.FlowDiagram () of the XML form of step 4 generation, parametric line class ChartControl data source is tied to step 4 and generates RMTSS parameter two-dimensional array set DataToShow.ParamArray (), and critical failure pattern information class DataListControl data source is tied to the critical failure mode list set DataToShow.FailureModesList () that step 4 generates.By these visual program controls, can provide the RMTSS data message to the user, as visual informations such as parametric plot, critical failure mode list.The concrete function flow process is shown in shown in accompanying drawing 7.
Step 7, the relation of the procedural model of setting up by above step 2 to step 6 as shown in Figure 2, formed thus and realized RMTSS characteristic Visualized Monitoring System model framework, this framework be input as RMTSS work item data, the RMTSS supplemental characteristic in the product development digitized environment; Be output as visual RMTSS process flow diagram, visual RMTSS parameter change curve, the monitored contents such as visual critical failure mode list.The commercial product data management platform that the product development digitized environment of this framework and interface thereof are non-content of the present invention.
Utilize " the RMTSS data gather and the monitoring display model " of establishment voluntarily to obtain and can be used for visual data from " RMTSS data processing model ": (the interface schematic diagram as shown in Figure 10)
RMTSS workflow progress represents by process flow diagram and pattern identification mode: ● sign is finished the work, zero sign unfinished work;
The control situation of RMTSS parameter shows its state by the variation of curve and color, and the RMTSS parameter changes and trend curve, when rough sledding appears in parameter trend, with redness, is warned;
Subdue state according to it in the critical failure mode list sign be set:
☆ means to take design measure decrease probability of happening
Figure BSA00000375575800111
Take the using compensation measure, reduce probability of happening
Figure BSA00000375575800112
Fail to subdue
Zero has subdued
Can clearly identify the situation of subduing of critical failure pattern.
To sum up, a kind of complex product development process RMTSS characteristic method for visually monitoring of realizing by above-mentioned included step, it can graphically show RMTSS work item progress in development process and RMTSS parameter level, and can further pass through the means such as change color, message transmission, the unfavorable trend that the RMTSS job of omitting in the product development process and RMTSS status level are occurred is warned, realize RMTSS work and the parameter visual control of comprehensive product development process, for the RMTSS level of overall process guarantees to provide decision-making foundation.
Above-described example has been done detailed explanation to the implementation of various piece of the present invention; specific implementation form of the present invention is not limited to this; for the those skilled in the art of the art, in the situation that do not deviate from the spirit of the method for the invention and various apparent change that the claim scope is carried out it all within protection scope of the present invention.

Claims (1)

1. a complex product development process RMTSS characteristic method for visually monitoring, it is characterized in that: its concrete steps are as follows:
Step 1, selected RMTSS characteristic information key element to be monitored in the product development digitized environment
Set main monitoring key element of each stage of product development, obtain flow process and the associated RMTSS information of RMTSS job from the product development digitized environment;
Step 2, set up status poll and system control model
Described model is the model that certainly programs, and its model component comprises two program classes: status poll class, instruction send class;
Described status poll class comprises three computer program functional functions: timing function, status poll function, instruction send the class call function; The realization of function all realizes by computer program, and the timing function is by program language from providing, and the status poll function serves to realize by the described RMTSS Data Web of invocation step three, and instruction sends the class call function and calls the run function that following instruction sends class;
Described instruction sends class and comprises two computer program functional functions: run function and instruction send function; Run function is for being sent by the instruction of above-mentioned status poll class the function that class is called, and instruction sends function can send message to following step 3, four described models;
Described status poll and system control model method flow are: by using a timing function, set its fixedly start-up time interval, query function of start by set date sends inquiry request, to obtain the product technology state, whether change, attonity when receiving that response message is no, when receiving that response message is when being, send the enabled instruction of class run function by call instruction and send class, instruction sends the class run function and starts, and then call instruction transmission function transmission instruction is used to following step 3 to described each model of step 7;
Step 3, set up RMTSS data, services model
Described RMTSS data, services model forms and comprises three parts for the model that certainly programs, its model: RMTSS data receiver and parsing class, status poll Web service and the service of RMTSS Data Web;
Described RMTSS data receiver comprises three computer program functional functions with the parsing class: status poll function, data pick-up function, Data Analysis function; The application programming interfaces of this status poll function call product development digitized environment are the product technology state of API; The product RMTSS data message that this data pick-up function call product development digitized environment API obtains RMTSS job procedure information and is associated; The Data Analysis that this Data Analysis function obtains the data pick-up function is the XML form;
Described status poll Web service is the computer program functional function that a Base on Web service technology is realized: the product technology status information in the status poll function in status poll function call above-mentioned steps the product development digitized environment returned;
The computer program functional function that described RMTSS Data Web service also realizes for the Web-based services technology: the XML formatted data file distribution that RMTSS Data Web service issue function generates the status poll class in step 2 is Web service;
Described RMTSS data, services model method flow process is: the status poll service function in the status poll Web service calls the status poll function of RMTSS data receiver class, the status poll function inquire about the product technology state from the product development digitized environment and by status information feedback to the status poll Web service; When the status poll function is received the Data Update instruction from the step 1 model, start log-on data and extract function to obtain the RMTSS data from the product development digitized environment, these data are resolved to the document of XML form by the Data Analysis function, last RMTSS Data Web service issue function is issued as Web service by these XML document, for the model of setting up in following step 4, calls;
Step 4, set up the RMTSS Data Storage Models
Described RMTSS Data Storage Models is the database from program model and designed, designed;
This model that certainly programs is a RMTSS database access class; Described RMTSS database access class comprises two computer program functional functions: data storage function, data function reading; The SQL statement of utilizing the data storage function realizes its database memory function; Described data function reading is responsible for reading all data recording from database;
The database of this designed, designed comprises 4 database tables, preserves respectively RMTSS workflow information, product information, product RMTSS parameter information, product critical failure pattern information;
Described RMTSS Data Storage Models method flow is: when RMTSS database access class receives from the Data Update instruction of step 1 model, its data storage function starts the up-to-date RMTSS data of RMTSS Data Web service acquisition in invocation step two and it is saved in above-mentioned database, the data function reading reads the data-base recording that all current productions are relevant from database simultaneously, for the model of setting up in step 4, calls;
Step 5, set up the RMTSS Data Analysis Model
Described RMTSS Data Analysis Model is the model that certainly programs, and its model forms and comprises two computer program classes: data read class, data analysis class;
These data read class and comprise three computer program functional functions: flow process function reading, parameter function reading, critical failure pattern function reading; These three functions obtain RMTSS flow data, RMTSS supplemental characteristic, critical failure pattern information in the data function reading from step 3 respectively;
This data analysis class comprises three computer program functional functions: flow process analytical function, Parameter analysis of electrochemical function, critical failure pattern analytical function; These three functions are corresponding to above-mentioned three functions, be flow process function reading, parameter function reading, critical failure pattern function reading, respectively its RMTSS flow data is resolved to the tree form data structure of XML form, its RMTSS supplemental characteristic is resolved to (the time, value) two-dimensional array of form, resolve to the data list set by its critical failure pattern information;
Described RMTSS Data Analysis Model method flow is: the flow process function reading starts, from step 3, the data access class is transferred the RMTSS flow data, this flow format is the tables of data record set, it is resolved to the XML form here, so that shown model calls, is shown as the flow process figure; The Parameter analysis of electrochemical function starts, and from step 3, the data access class is transferred RMTSS parametric data table record set, it is treated to the two-dimensional array set of (time, value) form, so that shown model calls formation curve; Critical failure pattern analytical function starts, and from step 3, the data access class is transferred critical failure mode data table record collection, directly transfers it to list collection, so that shown model calls the generation list information;
Step 6, set up RMTSS data monitoring display model
This RMTSS data monitoring display model is the model that certainly programs, and it comprises three computer program classes: process flow diagram shows that class, parametric line show class, critical failure mode list class; Process flow diagram shows that class is mainly realized by the process flow diagram control; Parametric line shows that class is realized by chart control; Critical failure mode list class is realized by list control;
The method flow of described RMTSS data monitoring display model is: flow process shows that the data source of class is tied to the RMTSS flow data of the XML form of step 4 generation, parametric line class data source is tied to step 4 and generates the set of RMTSS parameter two-dimensional array, and critical failure pattern information class data source is tied to the critical failure mode list set that step 4 generates; By these visual program controls, can provide the RMTSS data message to the user;
Step 7, the relation of the procedural model by above step 2 to six foundation, formed thus and realized RMTSS characteristic Visualized Monitoring System model framework, this framework be input as RMTSS work item data, RMTSS supplemental characteristic, the failure mode information in the product development digitized environment; The monitoring content of output is visual RMTSS process flow diagram, visual RMTSS parameter change curve, visual critical failure mode list.
CN2010105763063A 2010-12-07 2010-12-07 Visual monitoring method for RMTSS (reliability, maintainability, testability, supportability, safety) characters during manufacturing process of complex products Active CN102054221B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN2010105763063A CN102054221B (en) 2010-12-07 2010-12-07 Visual monitoring method for RMTSS (reliability, maintainability, testability, supportability, safety) characters during manufacturing process of complex products

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN2010105763063A CN102054221B (en) 2010-12-07 2010-12-07 Visual monitoring method for RMTSS (reliability, maintainability, testability, supportability, safety) characters during manufacturing process of complex products

Publications (2)

Publication Number Publication Date
CN102054221A CN102054221A (en) 2011-05-11
CN102054221B true CN102054221B (en) 2013-12-04

Family

ID=43958513

Family Applications (1)

Application Number Title Priority Date Filing Date
CN2010105763063A Active CN102054221B (en) 2010-12-07 2010-12-07 Visual monitoring method for RMTSS (reliability, maintainability, testability, supportability, safety) characters during manufacturing process of complex products

Country Status (1)

Country Link
CN (1) CN102054221B (en)

Families Citing this family (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102496082A (en) * 2011-11-16 2012-06-13 北京航空航天大学 Airplane product development progress monitoring method based on visualization technology
CN103186516B (en) * 2011-12-29 2016-07-06 广州市中海达测绘仪器有限公司 A kind of generation monitors the method for chart, Apparatus and system
CN105487867B (en) * 2015-11-26 2019-03-22 中国空间技术研究院 A kind of lightweight visual satellite test programming system and method
CN108573365B (en) * 2017-03-07 2022-02-11 北京空间技术研制试验中心 Service and process oriented comprehensive test state digital management method
CN109842593B (en) * 2017-11-28 2021-11-02 中国石油天然气股份有限公司 Information acquisition method and device and computer readable storage medium
CN108920759A (en) * 2018-06-01 2018-11-30 北京航空航天大学 Data integrating method towards electronic product reliability physical synthesis simulation analysis

Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN200972664Y (en) * 2005-07-25 2007-11-07 中华人民共和国广东出入境检验检疫局 Electronic monitoring system for inspection and quarantine of export product

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
GB2389692B (en) * 2001-02-20 2005-06-29 Cytokinetics Inc Method and apparatus for automated cellular bioinformatics

Patent Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN200972664Y (en) * 2005-07-25 2007-11-07 中华人民共和国广东出入境检验检疫局 Electronic monitoring system for inspection and quarantine of export product

Also Published As

Publication number Publication date
CN102054221A (en) 2011-05-11

Similar Documents

Publication Publication Date Title
CN102541974B (en) System, method and manufacture for providing search service for Process Control System
CN102054221B (en) Visual monitoring method for RMTSS (reliability, maintainability, testability, supportability, safety) characters during manufacturing process of complex products
US7840607B2 (en) Data mart generation and use in association with an operations intelligence platform
US6768994B1 (en) Web based data mining and location data reporting and system
CN100440217C (en) Method, computer based-system and virtual asset register
US20080263514A1 (en) Model-Based View Parts and Reusable Data Source Configurations
CN105589349A (en) Crawler for discovering control system data in an industrial automation environment
JP2004522232A (en) Cost analysis and benchmarking method and system in medical industry
WO2004072886A1 (en) Method and apparatus for providing intelligent and controlled access to supply chain information
US20150215174A1 (en) Report data management server and report data management program
CN103034920A (en) System and method for controlling operations of manufacturing facility
US8700559B2 (en) Interface chaining to populate a class-based model
JP2017004279A (en) Information collection system, information collection terminal equipment, information collection server device, and information collection method
JP2002251505A (en) System for supporting water treatment work
US20050096774A1 (en) System and method for integrating transactional and real-time manufacturing data
CN109791495A (en) Application development environ-ment provides system, Application development environ-ment providing method, computer-readable non-volatile recording medium and terminal installation
CN103569421A (en) Data collection and analysis device for cigarette packing machine
JP4958129B1 (en) Information collection system, information collection method, information collection program
CN202765320U (en) Data collecting and analyzing device used for cigarette packing machine
CN110471378A (en) A kind of Apparatus of Water Plant Automation and data analysis system
CN109412858A (en) A kind of management method of Optical Distribution Network, intelligent mobile terminal and management system
US20060224802A1 (en) Control system
JP2018081713A (en) Information gathering system, information gathering terminal device, information gathering server device, and information gathering method
US20120233175A1 (en) Database, slip data management server, and index data management program
KR101668652B1 (en) System and method for managing data based smart water grid

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
C14 Grant of patent or utility model
GR01 Patent grant
ASS Succession or assignment of patent right

Owner name: BEIJING KENWAY TECHNOLOGIES CO., LTD.

Free format text: FORMER OWNER: BEIHANG UNIVERSITY

Effective date: 20150318

C41 Transfer of patent application or patent right or utility model
TR01 Transfer of patent right

Effective date of registration: 20150318

Address after: 100191, room 1306, Bai Yan building, 238 middle Fourth Ring Road, Haidian District, Beijing

Patentee after: Beijing dimensional venture Technology Co., Ltd.

Address before: 100191 Beijing City, Haidian District Xueyuan Road No. 37 north of reliability and systems engineering

Patentee before: Beihang University

TR01 Transfer of patent right

Effective date of registration: 20211231

Address after: 710119 room 406, floor 4, building 3, Fengze Science Park, No. 170, West Avenue, hi tech Zone, Xi'an, Shaanxi Province

Patentee after: SHAAXI KEWEI ZHUOLI TECHNOLOGY CO.,LTD.

Address before: 100191 room 1306, Baiyan building, 238 beisihuanzhong Road, Haidian District, Beijing

Patentee before: Beijing dimensional venture Technology Co.,Ltd.

TR01 Transfer of patent right