CN103400231A - Equipment health management system and database modeling method thereof - Google Patents
Equipment health management system and database modeling method thereof Download PDFInfo
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- CN103400231A CN103400231A CN2013103486322A CN201310348632A CN103400231A CN 103400231 A CN103400231 A CN 103400231A CN 2013103486322 A CN2013103486322 A CN 2013103486322A CN 201310348632 A CN201310348632 A CN 201310348632A CN 103400231 A CN103400231 A CN 103400231A
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Abstract
The invention discloses an equipment health management system and a database modeling method thereof, and belongs to the technical field of management systems. The equipment health management system comprises a CBM equipment health management subsystem, an equipment health information visualization system and an expert system, and further comprises a space-grid-based database including a space grid node data packet composed of space grids and grid nodes, wherein relative space coordinates of nodes and activation time of the nodes are stored in the space grid node data packet. The system and the method provided by the invention have the advantages that firstly, an equipment management space is subjected to space grid division, so that grid data can be stored in a distributed manner, grid parallel computing is facilitated, and data processing efficiency is improved; secondly, the traditional journal recording mode based on a time line is converted into a space-based journal recording mode, so that journal recording modes are enriched; thirdly, three-dimensional visualization processing is performed on equipment health state information corresponding to the space grids.
Description
Technical field
The present invention relates to a kind of equipment health management system arranged, specifically a kind of health management system arranged the and Database Modeling method of equipment, belong to the device management techniques field.
Background technology
Traditional device management method is conceived to fault handling and static maintenance, namely after breaking down, utilizes the mode of fault diagnosis mode or shutdown breakdown maintenance to carry out interim recovery and keep outfit of equipment health equipment.Traditional device management method way to manage is single, and regular fault diagnosis or breakdown maintenance exert a certain influence to production, and inefficiency can't reach the purpose that maximizes plant factor.
For development and the progress that promotes equipment Managing Model, the many enterprises of China have carried out the maintenance research of state-based maintenance (CBM), and proposed based on the health management system arranged method for designing of the equipment of CBM and system, main business and the flow process of equipment health control have been extracted, the said equipment health control has comprised this locality and remote data acquisition, status monitoring, health status assessment, predicting residual useful life, maintenance decision support, network service etc., but in the process of utilizing, effect is not very desirable, with expectation value, a certain distance is arranged.
At number of patent application, be in the patent documentation of CN201010228233.9, disclose a kind of " universal distributed airborne equipment health management simulation platform and its implementation ", this invention has proposed a kind of health control method of equipment for universal distributed airborne equipment and emulation platform thereof.By the mutual and management between its main simulation management device, simulation member driver and simulated members, reach the health management function to airborne equipment.But this patent documentation speed aspect data analysis, processing is slower, and this can increase difficulty to the equipment health analysis work of equipment management personnel, and countless according to visualization function, can not intuitively check rapidly data cases.In addition, because the device parameter amount is large, if do not have outstanding data structure to do support, when carrying out the equipment health analysis, amount of calculation is increased greatly, reduce the efficiency of management.
Summary of the invention
Problem for above-mentioned prior art existence, the invention provides a kind of health management system arranged and Database Modeling method of equipment, solve the legacy equipment efficiency of management low, the life cycle management plant factor is low, device parameter is numerous and diverse, and the equipment health parameters is analyzed the problems such as difficulty, realizes the space networks processing of formatting is carried out in the equipment control space, the key parameter that equipment was recorded by the time is converted to the key parameter that records by space, distributed storage and calculating fully on zone; Modeling method is simple, practical.Further purpose of the present invention is, by the 3 d image data visualization technique be applied to equipment that the present invention proposes health management system arranged in, the equipment health parameter of space distribution is carried out to three-dimensional visualization, can reduce the difficulty of analyst when carrying out the equipment health analysis, be beneficial to man-machine interaction, make equipment health control work more efficient.
To achieve these goals, the technical solution used in the present invention is: this equipment is health management system arranged, comprise CBM equipment health control subsystem, equipment health visualization system and expert system, described database is based on the fully-mechanized mining working equipment health management information database that space networks is formatted
Described CBM equipment health control subsystem comprises equipment health Collector Manager, equipment fault diagnosis manager, equipment health evaluating and life prediction manager and maintenance of equipment and decision-making management device;
Described equipment health Collector Manager, by the crucial life parameter of sensor collecting device, transfers data to described fully-mechanized mining working equipment health management information database by radio sensing network;
Described equipment fault diagnosis manager is processed in all interior parameters the life parameter of equipment, and the data feedback after processing is to equipment health evaluating and life prediction manager;
Described equipment health evaluating and life prediction manager are transferred the data after the equipment fault diagnosis manager processes in fully-mechanized mining working equipment health management information database, utilize Markov, neural network and mutation algorithm thereof to process the equipment health data, solve and draw the equipment Health Category.
Described maintenance of equipment and decision-making management device carry out data interchange with fully-mechanized mining working equipment expert system and equipment health visualization system respectively by internet;
Described equipment health visualization system, by internet and expert system intercommunication data, carries out data interchange by radio sensing network and fully-mechanized mining working equipment health management information database.
Described expert system is fully-mechanized mining working equipment expert system;
Described fully-mechanized mining working equipment health management information database, the space lattice node data bag that consists of space lattice and grid node forms, and space lattice node data bag is carried out to distributed storage, is provided with node unique identification code;
In described space lattice node data bag, store the activationary time of node space coordinate and node.
Described equipment health visualization system comprises display layer, mathematical logic layer and system supporting layer, fully-mechanized mining working equipment health management information database is by the system supporting layer, data are sent to the mathematical logic layer, after the mathematical logic layer carries out Treatment Analysis to data, be sent to display layer and show.
Described display layer is provided be used to showing the display of three-dimensional visualization figure;
Described mathematical logic layer mainly comprises the space lattice manager, and management object is divided into: activated node manager, activated node manager and un-activation node manager; Described node manager all represents in the mode of three-dimensional picture;
Described system supporting layer comprises the graph image storehouse of realizing for visualization technique: OpenGL/Direct3D operating system Windows/Linux, the programmed environment VC++/MFC that realizes for visualization technique.
Described fully-mechanized mining working equipment expert system, comprise coalcutter expert system for control, scrapper conveyor expert system for control, hydraulic bracket control system, fully-mechanized mining working three machine Collaborative Control expert systems, elevating conveyor expert system for control, disintegrating machine expert system for control and belt control expert system.
In described space lattice packet, store from the equipment health status information in the equipment health Collector Manager: coalcutter health status information, hydraulic support health status information, scrapper conveyor health status information, pumping plant health status information, elevating conveyor health status information, disintegrating machine health status information and belt feeder health status information.
The device category that described each node manager holds is different from quantity.
The quantity that described space lattice is divided, determined by the dense degree of workplace fully-mechanized mining equipment.
A kind of Database Modeling method that equipment is health management system arranged comprises the following steps:
1) at the y direction of principal axis, the length of space lattice is that section of coalcutter is dark, and the length of the space lattice on plane X OZ plane, namely choose by density of equipment in the length on the x direction of principal axis and the length on the z direction of principal axis;
2) each space lattice comprises 8 network nodes, by the corresponding space lattice node data bag of each grid node, comprises node unique identification code, node space coordinate, node activationary time territory and equipment health status information;
3) grid node is divided into: activated node, activated node, un-activation node;
4) in carrying out the visual process of three-dimensional data, select three kinds of dissimilar space lattices, be respectively and activate grid, activate grid and un-activation grid, with the rectangular parallelepiped of three kinds of different colors, show respectively the position relationship in its space;
5) after the current space coordinate of nucleus equipment coalcutter is determined, the space lattice that place, coalcutter position belongs to is the activation grid, and the space lattice under the position of coalcutter process is the un-activation grid for activating remaining space lattice of grid.
Described node, activation node, the un-activation node of having activated, the method for determining is:
For activating grid, minimum value is selected in the occupied space of whole activation grid on the y axle, namely select the XOZ plane; On the XOZ plane, do not have the z axle to get minimum value, on a space lattice, just can be filled into like this two grid nodes, there is a range difference in these two grid nodes on the x direction of principal axis, and nucleus equipment is when carrying out work, advanced direction is two-way, like this, final activation node is decided by the advanced direction of current nucleus equipment, if the nucleus equipment direct of travel is positive x axle, what the node space coordinate figure x component in above-mentioned two grid nodes was large is to activate node, otherwise what the x component was little is to activate node.For activating grid, the grid node under it all belongs to and has activated node, for the total-grid node under the un-activation grid, all belongs to the un-activation node.
The described grid that activated is green rectangular parallelepiped, and the un-activation grid is blue rectangular parallelepiped, and activating grid is red rectangular parallelepiped.
Compared with prior art, the present invention has the following advantages:
1) database space of equipment control is carried out to the space lattice division, grid data can distributed storage, so that grid parallel computation calculates, improves data-handling efficiency, thereby increases work efficiency;
2) the log recording mode of traditional time-based line is converted to the log recording mode based on space, has enriched the form of log recording, be convenient to check;
3) the equipment health status information that space lattice is corresponding is carried out the three-dimensional visualization processing, and the user only need to click corresponding icon can check corresponding parameter, and easily and fast, it is convenient, efficient to make to manage, and is conducive to the raising of work efficiency;
4) modeling method of space lattice of the present invention is simple, easy operating and realization.
The accompanying drawing explanation
Fig. 1 is Organization Chart of the present invention;
Fig. 2 is grid node data structure diagram of the present invention;
Fig. 3 is equipment health visable representation figure of the present invention;
Fig. 4 is definite presentation graphs that the present invention activates node.
In figure: 52. space lattices, 53. grid nodes, 54. have activated grid, 55. un-activation grids, 56. activate grid, and 60. have activated node, and 61. activate node, 62. un-activation nodes.
Embodiment
The invention will be further described below in conjunction with accompanying drawing.
As shown in Figure 1, present device is health management system arranged, four most of compositions: CBM equipment health control subsystem, equipment health visualization system, expert system and database.
Described CBM equipment health control subsystem is comprised of health and fitness information Collector Manager, equipment fault diagnosis manager, equipment health evaluating and life prediction manager and maintenance of equipment and decision-making management device.
Described equipment health Collector Manager mainly utilizes sensor to carry out the quantity of information collection to the crucial life parameter of equipment, raw data through described equipment health Collector Manager gathers, transfer data to described fully-mechanized mining working equipment health management information database storage by radio sensing network.
Described equipment fault diagnosis manager is general data analysis and the processing module of described CBM equipment health control subsystem, all parameters that equipment comprised to the crucial life parameters such as electric current, voltage, vibration signal are processed, after data are finished dealing with, carry out the original equipment fault diagnosis, simultaneously data are sent to fully-mechanized mining working equipment health management information database by radio sensing network, then transfer utilization by described equipment health evaluating and life prediction manager.
Described equipment health evaluating and life prediction manager are the main intelligent management of described CBM equipment health control subsystem cores, utilize Markov, neural network and mutation algorithm thereof to process the equipment health data, solve and draw the equipment Health Category: health-inferior health-danger-damage, and, for nucleus equipment, require to carry out life prediction.Described equipment health evaluating and life prediction manager processes data from described fully-mechanized mining working equipment health management information database, when carrying out data call, under the guidance of the corresponding subsystem of described fully-mechanized mining working equipment expert system, carry out in order, guarantee that the workplace local device normally moves.
Described maintenance of equipment and decision-making management device instruct and carry out orderly management according to described fully-mechanized mining working equipment expert system on the one hand, on the other hand, management is carried out artificial interference with operating personnel by the mode of described equipment health visualization system or local operation, in this process, priority is determined as follows: local operation and decision-making priority are the highest, secondly being the control command from described equipment health visualization system, is finally maintenance of equipment and decision-making management device.Especially, when carrying out maintenance of equipment and the work of decision-making management device, described fully-mechanized mining working equipment expert system plays directive function all the time, prevents action and misoperation, guarantees to greatest extent device security.
Described equipment health visualization system is the main Man Machine Interface of native system, by internet and expert system intercommunication data, by radio sensing network and fully-mechanized mining working equipment health management information database, carries out data interchange.
Native system adopts three-tier architecture, is respectively display layer, mathematical logic layer and system supporting layer;
Described display layer is the main application layer of described equipment health visualization system, space lattice 52 deciles are carried out in whole equipment control space, and each grid is independent of described node grid managers, for the grid that receives the demonstration task, task is issued to its corresponding node manager, with the three-dimensional visualization that carries out data, shows.
Described mathematical logic layer mainly comprises the space lattice manager, and described space lattice manager administration object is divided into: activated node manager, activated node manager and un-activation node manager.For described node manager, all in the mode of three-dimensional picture, represent, support man-machine interaction.
Described system supporting layer comprises three parts:
1. for the operating system Windows/Linux of a fully-mechanized mining equipment Management Calculation group of planes;
2. the programmed environment that realizes for visualization technique: VC++ MFC;
3. the graph image storehouse of realizing for visualization technique: OpenGL/Direct3D.
Described expert system is that fully-mechanized mining working equipment expert system 3 comprises coalcutter expert system for control, scrapper conveyor expert system for control, hydraulic bracket control system, fully-mechanized mining working three machine Collaborative Control expert systems, elevating conveyor expert system for control 33, disintegrating machine expert system for control and belt control expert system.The control law of described various expert system for formulating for relevant device, as illustrative examples, for described fully-mechanized mining working three machine Collaborative Control expert systems, the equipment bulk Matching Relationship that requires to mine is as follows:
R=B+E+W+X+b
In formula:
R---without column space width, mm;
B---cut deeply, be generally the coal mining machine roller width, mm;
Between E---ramp plate and rib, should stay gap, for preventing cylinder, at scraper conveyer bending section cut ramp plate, generally get E=100 ~ 150mm;
X---bracket upright post and scrapper conveyor cable duct spacing, mm;
The horizontal increment that b---column tilts to produce, mm;
W---workplace scrapper conveyor width, mm;
W=F+G+J+V
In formula:
F---scrapper conveyor ramp plate width, F=150 ~ 240mm usually;
G---scraper conveyor middle groove width, size is standardization, mm;
J---scrapper conveyor gathering sill width has the rack rails partial width, mm during chainless haulage
V---scrapper conveyor cable duct width, mm.
In order to meet production safety, convenience, some parameters have following requirement:
1 fully-mechanized mining working is as far as possible little without column space width R;
2 back timber ends should be as far as possible little apart from T, so that hydraulic support increases the contact area of top board, simultaneously, in order to prevent that coalcutter cutting drum cut from, to the hydraulic supporting back timber, must keep a segment distance T between back timber and coal mining machine roller, common T gets 250 ~ 350mm;
3 underneath clearance h should be large as far as possible, how by the physical construction of coalcutter own, to be determined, for medium-thick seam, General Requirements h >=250 ~ 300mm, guarantee that coal breakage passes through bottom bracket smoothly;
The stroke of 4 hydraulic support advancing jacks requires to cut dark large 100 ~ 200mm than coalcutter usually;
5 coalcutter are crossed machine height Y and referred to the vertical range of coalcutter fuselage to the set cap lower end, and minimum will guarantee that 200 ~ 250mm crosses the machine height, and are less in the general Y impact of large-mining-height working surface;
6 coal mining machine in full-mechanized mining faces have usually from opening the otch function, need to mine supporting on the equipment longitudinal size, high-yield and high-efficiency workplace scraper conveyer adopts intersection side dump head more, in order to realize that coalcutter is from opening otch, require scraper conveyer head and tail to extend in crossheading, and coalcutter will guarantee that enough planted agents measure P, can cut up and down, end rib;
7 hydraulic supports are heightened scope and mining height of coal mining machine commensurate in scope, for large mining height coal seam, consider the false roof inbreak, require the maximum supporting height of support greater than maximum cutting height 200 ~ 400mm; Consider roof and floor float coal and the amount of crushing, support minimal support height is less than minimum cutting height 500 ~ 900mm; The center distance of support generally equals the length of scraper conveyer one joint chute.
The fully-mechanized mining working equipment health management information database of described database for formatting based on space networks, comprise the space lattice node data bag that is formed by space lattice 52 and grid node 53, space lattice node data bag is carried out to distributed storage, be provided with node unique identification code; So that calling during grid computing.modeling and space lattice 52 for the ease of the equipment control space of described equipment health visualization system are divided, in packet, store node space coordinate, for equipment working state in management and historical record, the log recording mode of time-based line is provided, therefore in packet, store the activationary time of node, on fully-mechanized mining working, the equipment control space is whole fully-mechanized mining working, and coalcutter is as nucleus equipment, in space lattice node data bag, the node activationary time is namely that coalcutter is in the work operation process, the grid current time value that collides with coalcutter.
The space lattice 52 that whole equipment control space comprises is limited, so, the node activationary time of each grid is along with the difference of described equipment health Collector Manager collection network refreshing frequency, and comprised different time values, therefore define described node activationary time territory, be to nucleus equipment from just starting to activate grid 56 to finally leaving net region, make to activate the summary that grid 56 becomes this time general collection that activates grid 54.
Each space lattice 52 comprises 8 network nodes, and the corresponding space lattice node data bag of each grid node 53, comprise node unique identification code, node space coordinate, node activationary time territory and equipment health status information;
In described space lattice 52 node data bags, store the activationary time of node space coordinate and node.
In described space lattice packet, most important data division is the equipment health status information.Described equipment health status information comprises: coalcutter health status information, hydraulic support health status information, scrapper conveyor health status information, pumping plant health status information, elevating conveyor health status information, disintegrating machine health status information and belt feeder health status information.Described equipment health status information is directed to the equipment health Collector Manager of described CBM equipment health control subsystem.
during work, CBM equipment health control subsystem is as system-based function system of the present invention, carrying out various functions while realizing, introduce the guiding function of fully-mechanized mining working equipment expert system, on data structure, innovated, introduce the new equipment of the fully-mechanized mining working based on space lattice 52 health management information database, pass through sensing network, the equipment health Collector Manager is stored in sensing data in fully-mechanized mining working equipment health management information database, in order to the calling and processing data of equipment fault diagnosis manager, process the characteristic parameter of gained, will again be stored in fully-mechanized mining working equipment health management information database, so that equipment health evaluating and life prediction manager utilize Markov, neural network and mutation algorithm thereof carry out Health Category evaluation and test and life prediction work.For the equipment that is judged as " inferior health " grade, require equipment health evaluating and life prediction manager to estimate its life-span; For the equipment that is judged as " danger " and " damage " grade, its characteristic parameter is passed to maintenance of equipment and decision-making management device, under the guidance of fully-mechanized mining working expert system, under the artificial interference mode, carry out maintenance decision.In particular for the equipment that is judged as " danger " grade, system can strengthen the control and monitoring to it, and sends " Warning " warning for the equipment health visualization system, but equipment continues operation, does not affect normal production; For the equipment that is judged as " damage ", system can be issued equipment health visualization system " Error " warning, under fully-mechanized mining working equipment expert system instructs, the fully-mechanized mining equipment of fully-mechanized mining working is carried out to the equipment downtime maintenance in order.
Described fully-mechanized mining working equipment expert system mainly comprises: coalcutter expert system for control, scrapper conveyor expert system for control, elevating conveyor expert system for control, disintegrating machine expert system for control, belt control expert system, hydraulic support expert system for control and fully-mechanized mining working three machine Collaborative Control expert systems.Described fully-mechanized mining working expert system in whole system in occupation of very important position, acquainted decision-making all provides guidance by described fully-mechanized mining working expert system, in addition for the classification of the collection of equipment health storage, all control commands that the user assigns by described equipment health visualization system all will be through the evaluation of described fully-mechanized mining working expert system, prevent from keeping in repair and operating personnel's misoperation and action excessively, guarantee the safety of equipment.In addition, for the extraction of data, due to the distributed storage of data, can data obtain well organizing and all depend on described fully-mechanized mining working equipment expert system.
By Globus Toolkit instrument, server using described fully-mechanized mining working equipment expert system as grid computing, by wsdl document, define service interface, comprise access and stores service interface for coalcutter, scrapper conveyor, elevating conveyor, disintegrating machine, belt feeder, hydraulic support and fully-mechanized mining working three machine synergistic datas; And realize interface function with Java, and create WSDD document definition service interface deployment parameters, utilize the ANT compile source code and generate the GAR file, so that Globus Toolkit disposes mesh services.Described CBM equipment health control subsystem and equipment health visualization system be as client-access gridding resource and service, utilizes computer cluster distributed parallel data are processed of location distribution, improves counting yield.
Described fully-mechanized mining working equipment health management information database, main data content is space lattice node data bag.
As shown in Figure 2, for equipment of the present invention is health management system arranged and the space lattice model sketch of Database Modeling method.When carrying out 52 division of device space grid, the equipment control space boundary 51 of at first clear and definite working face, in the present embodiment, the equipment control space boundary 51 of working face is a rectangular parallelepiped, basis coordinates direction y axle is advance of the face direction, coalcutter carries out exploitation work along the x axle, and the z axle represents the maximum mining height of workplace.According to the dense degree of workplace fully-mechanized mining equipment, determine the grid division numbers in whole fully-mechanized mining equipment management space, in case divide the quantity of the space lattice 52 that completes whole workplace, fix.For each space lattice 52,8 grid nodes 53 have been comprised, for all kinds of being divided in back and will illustrating of grid node 53.The interior device parameter of equipment control space boundary 51 that comprises current working face for each grid node 53, namely the corresponding space lattice node data bag of grid node 53, comprise node unique identification code, node space coordinate, node activationary time territory and equipment health status information.Wherein, described equipment health status information comprises coalcutter health status information, hydraulic support health status information, scrapper conveyor health status information, pumping plant health status information, elevating conveyor health status information, disintegrating machine health status information and belt feeder health status information.Above-described status information forms the main contents of described fully-mechanized mining working equipment health management information database.
As shown in Figure 3 and Figure 4, the Database Modeling method that this equipment is health management system arranged comprises the following steps:
1) at the y direction of principal axis, the length of space lattice 52 is that section of coalcutter is dark, and the length of the space lattice 52 on plane X OZ plane, namely choose by density of equipment in the length on the x direction of principal axis and the length on the z direction of principal axis;
2) each space lattice 52 comprises 8 network nodes, by the corresponding space lattice node data bag of each grid node 53, comprises node unique identification code, node space coordinate, node activationary time territory and equipment health status information;
3) grid node 53 is divided into: activated node 60, activated node 61, un-activation node 62;
4) in carrying out the visual process of three-dimensional data, select three kinds of dissimilar space lattices 52, be respectively and activate grid 54, activate grid 56 and un-activation grid 55, with the rectangular parallelepiped of three kinds of different colors, show respectively the position relationship in its space;
5) after the current space coordinate of nucleus equipment coalcutter is determined, the space lattice 52 that place, coalcutter position belongs to is and activates grid 56, and the space lattice 52 under the position of coalcutter process is un-activation grid 55 for activating grid 54 remaining space lattice 52.
The described grid 54 that activated is green rectangular parallelepiped, and un-activation grid 55 is blue rectangular parallelepiped, and activating grid 56 is red rectangular parallelepiped.
In describedly having activated grid 54, having activated grid 56 and un-activation grid 55, each space lattice 52 comprises 8 grid nodes 53, in order to make data reduce redundancy, described grid node 53 is divided three classes: activated node 60, activated node 61, un-activation node 62.It determines that rule is as follows: for activating grid 56, minimum value is selected in the occupied space of whole activation grid 56 on the y axle, namely select the XOZ plane; On the XOZ plane, do not have z axle axle to get minimum value, on a space lattice 52, just can be filled into like this two grid nodes 53, these two grid nodes 53 certainly exist a range difference on the x direction of principal axis, and coalcutter is when carrying out work, advanced direction is two-way, like this, final activation node 61 is decided by the advanced direction of current coalcutter, if the coalcutter direct of travel is positive x axle, what the node space coordinate figure x component in above-mentioned two grid nodes 53 was large is to activate node 61, otherwise what the x component was little is to activate node 61.For the grid that has activated, the grid node 53 under it all belongs to and has activated node 60, for the total-grid nodes 53 under un-activation grid 55, all belongs to un-activation node 62.
The mathematical logic layer of described equipment health visualization system mainly comprises the space lattice manager, and the space lattice manager is that space lattice 52 is managed and the main manager of classifying, and its parameter object is three kinds of different types of space lattices 52.
The node manager of described space lattice manager comprises: activated node manager, activated node manager and un-activation node manager.Described node manager mainly completes the processing to each grid node 53 data.For activating node 60, its data are the data of described CBM equipment health control subsystem processes and storage for the described node manager management object that activated.Described activation node manager management object is to activate node 61, due to the existence in node activationary time territory, among constantly updating and storing, only has when activation grid 56 is converted to the grid that has activated, and could finally determine.The object of un-activation node administration management is un-activation node 62, the content when its data content is device initialize.
Display layer major function in described equipment health visualization system is that equipment health is carried out to visualization processing, the visualization display effect that it is final and mode are as shown in Figure 3, the user is by the man-machine interaction instrument: mouse or touch-screen, and click the data that space lattice 52 arbitrarily can eject respective mesh node 53 and show tree 57.The data of each grid node 53 show in tree 57 again multi-level parameter information.The user only need to click corresponding icon can check corresponding parameter.
Claims (9)
1. an equipment is health management system arranged, comprise CBM equipment health control subsystem, equipment health visualization system, expert system and database, it is characterized in that, described database is based on the fully-mechanized mining working equipment health management information database that space networks is formatted
Described CBM equipment health control subsystem comprises equipment health Collector Manager, equipment fault diagnosis manager, equipment health evaluating and life prediction manager and maintenance of equipment and decision-making management device;
Described equipment health Collector Manager, by the crucial life parameter of sensor collecting device, transfers data to described fully-mechanized mining working equipment health management information database by radio sensing network;
Described equipment fault diagnosis manager is processed in all interior parameters the life parameter of equipment, and the data feedback after processing is to equipment health evaluating and life prediction manager;
Described equipment health evaluating and life prediction manager are transferred the data after the equipment fault diagnosis manager processes in fully-mechanized mining working equipment health management information database, utilize Markov, neural network and mutation algorithm thereof to process the equipment health data, solve and draw the equipment Health Category;
Described maintenance of equipment and decision-making management device carry out data interchange with fully-mechanized mining working equipment expert system and equipment health visualization system respectively by internet;
Described equipment health visualization system, by internet and expert system intercommunication data, carries out data interchange by radio sensing network and fully-mechanized mining working equipment health management information database;
Described expert system is fully-mechanized mining working equipment expert system;
Described fully-mechanized mining working equipment health management information database, the space lattice node data bag that consists of space lattice (52) and grid node (53) forms, and space lattice node data bag is carried out to distributed storage, is provided with node unique identification code;
In described space lattice node data bag, store the activationary time of node space coordinate and node.
2. a kind of equipment according to claim 1 is health management system arranged, it is characterized in that, described equipment health visualization system comprises display layer, mathematical logic layer and system supporting layer, fully-mechanized mining working equipment health management information database is by the system supporting layer, data are sent to the mathematical logic layer, after the mathematical logic layer carries out Treatment Analysis to data, be sent to display layer and show;
Described display layer is provided be used to showing the display of three-dimensional visualization figure;
Described mathematical logic layer mainly comprises the space lattice manager, and management object is divided into: activated node manager, activated node manager and un-activation node manager; Described node manager all represents in the mode of three-dimensional picture;
Described system supporting layer comprises the graph image storehouse of realizing for visualization technique: OpenGL/Direct3D, operating system Windows/Linux, the programmed environment VC++/MFC that realizes for visualization technique.
3. a kind of equipment according to claim 1 and 2 is health management system arranged, it is characterized in that, described fully-mechanized mining working equipment expert system, comprise coalcutter expert system for control, scrapper conveyor expert system for control, hydraulic support expert system for control, fully-mechanized mining working three machine Collaborative Control expert systems, elevating conveyor expert system for control, disintegrating machine expert system for control and belt control expert system.
4. according to claim 1 or 3 described a kind of equipment are health management system arranged, it is characterized in that, in described space lattice packet, store from the equipment health status information in the equipment health Collector Manager: coalcutter health status information, hydraulic support health status information, scrapper conveyor health status information, pumping plant health status information, elevating conveyor health status information, disintegrating machine health status information and belt feeder health status information.
5. a kind of equipment according to claim 2 is health management system arranged, it is characterized in that, the device category that described each node manager holds is different from quantity.
6. a kind of equipment according to claim 1 is health management system arranged, it is characterized in that the quantity that described space lattice (52) is divided is determined by the dense degree of workplace fully-mechanized mining equipment.
7. the Database Modeling method that a kind of equipment as claimed in claim 1 is health management system arranged, is characterized in that, comprises the following steps:
1) at the y direction of principal axis, the length of space lattice (52) is that section of coalcutter is dark, and the length of the space lattice (52) on plane X OZ plane, namely choose by density of equipment in the length on the x direction of principal axis and the length on the z direction of principal axis;
2) each space lattice (52) comprises 8 network nodes, by the corresponding space lattice node data bag of each grid node (53), comprise node unique identification code, node space coordinate, node activationary time territory and equipment health status information;
3) grid node (53) is divided into: activated node (60), activated node (61), un-activation node (62);
4) in carrying out the visual process of three-dimensional data, select three kinds of dissimilar space lattices (52), be respectively and activate grid (54), activate grid (56) and un-activation grid (55), with the rectangular parallelepiped of three kinds of different colors, show respectively the position relationship in its space;
5) after the current space coordinate of nucleus equipment coalcutter is determined, the space lattice (52) that place, coalcutter position belongs to is and activates grid (56), space lattice under the position of coalcutter process (52) is for activating grid (54), and remaining space lattice (52) is un-activation grid (55).
8. the health management system arranged Database Modeling method of a kind of equipment according to claim 7, is characterized in that, described node (60), activation node (61), the un-activation node (62) of having activated, and the method for determining is:
for activating grid (56), minimum value is selected in the occupied space of whole activation grid (56) on the y axle, namely select the XOZ plane, on the XOZ plane, do not have the z axle to get minimum value, like this at upper two grid nodes (53) that just can be filled into of a space lattice (52), there is a range difference in these two grid nodes (53) on the x direction of principal axis, and nucleus equipment is when carrying out work, advanced direction is two-way, like this, final activation node (61) is decided by the advanced direction of current nucleus equipment, if the nucleus equipment direct of travel is positive x axle, what the node space coordinate figure x component in above-mentioned two grid nodes (53) was large is to activate node (61), otherwise, what the x component was little is to activate node (61), for the grid that has activated, the grid node (53) under it all belongs to and has activated node (60), for the total-grid node (53) under un-activation grid (55), all belongs to un-activation node (62).
9. the health management system arranged Database Modeling method of according to claim 7 or 8 described a kind of equipment, it is characterized in that, the described grid (54) that activated is green rectangular parallelepiped, and un-activation grid (55) is blue rectangular parallelepiped, and activating grid (56) is red rectangular parallelepiped.
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