WO2005101271A1

WO2005101271A1 - System and method for remote analysis and visualization of machine performance

Info

Publication number: WO2005101271A1
Application number: PCT/US2005/013517
Authority: WO
Inventors: Ken Furem; Gopal Madhavarao; Daniel W. Robertson
Original assignee: Siemens Energy & Automation, Inc.
Priority date: 2004-04-19
Filing date: 2005-04-19
Publication date: 2005-10-27

Abstract

Certain exemplary embodiments can comprise providing instructions to an information device adapted to render a user interface adapted to accept a request from a user for information obtained from a machine regarding a userselected sensor for a user-selected time period. The request from the user can be adapted to create a Boolean expression adapted to query a database to obtain the information. Certain exemplary embodiments can comprise rendering a representation of at least part of a panel viewable by an operator of the machine. The panel can comprise information regarding the user-selected sensor.

Description

System and Method for Remote Analysis and Visualization Of Machine Performance

Cross-References to Related Applications

[1] This application claims priority to, and incorporates by reference herein in its entirety, pending United States Provisional Patent Application Serial No. 60/563,582 (Attorney Docket No. 2004P06405US) and United States Provisional Patent Application Serial No. 60/583,384 (Attorney Docket No. 2004P06504US), filed 19 April 2004.

Background

[2] Industrial automation has increased in scope and refinement with time. In general, industrial automation has focused on continuous processes comprising a plurality of interacting machines. Heretofore, automation has not been fully developed and/or utilized for improvement of production and/or reliability of many independent machines.

[3] Machinery that operates in an outdoor environment, such as mining trucks and mining shovels, has traditionally not been extensively monitored. Further, environmental conditions such as temperature, humidity, geological conditions, and grade of land can significantly affect machinery that operates in an outdoor environment. Operating large machinery can be expensive. Operators frequently do not control machines at optimum speeds, engine RPMs, payloads, and/or in a manner that results in optimal maintenance costs. Operators sometimes do not operate in a manner that avoids invalidation of warrantees and/or maintenance contracts. On occasion, improper operation of machines has resulted in accidents, injuries, and sometimes even death.

[4] Conventional systems do not adequately collect or analyze data related to machinery operation.

Summary

[5] Certain exemplary embodiments comprise obtaining and analyzing data from at least one machine, such as a mining truck. User interfaces can be provided to automatically determine relationships between variables associated with the mining truck. Via a user interface, a user can select one or more sensors and/or a time period to analyze and/or display information.

[6] Certain exemplary embodiments comprise a method comprising, at a remote server, receiving representative data obtained from a set of sensors associated with the machine. The representative data can be transmitted in a record format comprising machine type, machine identifier, sensor data, and/or time stamp information, etc. The representative data can be stored in a memory device associated with a server.

Brief Description of the Drawings

[7] A wide variety of potential embodiments will be more readily understood through the following detailed description, with reference to the accompanying drawings in which: [8] FIG. 1 is a diagram of a remote analysis system 1000; [9] FIG. 2 is a flow diagram of a method 2000 of collecting and transmitting machine data; [10] FIG. 3 is a flow diagram of a method 3000 of transmitting machine information to a remote client; [11] FIG. 4 is a flow diagram of a method 4000 of remote client data management; [12] FIG. 5 is a flow diagram of a method 5000 of remote client report generation; [13] FIG. 6 is a flow diagram of a method 6000 of rendering data by a remote client; [14] FIG. 7 is a flow diagram of a method 7000 of data analysis by a remote client; [15] FIG. 8 is a block diagram of a client information device 800O; [16] FIG. 9 is a block diagram of a data form 9000 of data record denoted as a telegram; [17] FIG. 10 is a rendering 10000 modeling an auxiliary gauge display; [18] FIG. 11 is a rendering 11000 modeling an auxiliary temperature display; [19] FIG. 12 is a rendering 12000 modeling a chronology basic table; [20] FIG. 13 is a rendering 13000 modeling a chronology cycle breakout; [21] FIG. 14 is a rendering 14000 modeling a chronology export to a spreadsheet table; [22] FIG. 15 is a rendering 15000 modeling a cycle distribution by time and distance display; [23] FIG. 16 is a rendering 16000 modeling a DC bus gauge display; [24] FIG. 17 is a rendering 17000 modeling a DC bus plot display; [25] FIG. 18 is a rendering 18000 modeling a diagnostic message list and stats display; [26] FIG. 19 is a rendering 19000 modeling a diagnostic message plot display; [27] FIG. 20 is a rendering 20000 modeling a driver's plot display; [28] FIG. 21 is a rendering 21000 modeling a driver's screen display; [29] FIG.22 is a rendering 22000 modeling a general plot display; [30] FIG. 23 is a rendering 23000 modeling a general screen display; [31] FIG.24 is a rendering 24000 modeling a left motor gauges display; [32] FIG. 25 is a rendering 25000 modeling a left motor plot display; [33] FIG. 26 is a rendering 26000 modeling a message window display; [34] FIG.27 is a rendering 27000 modeling a mine profiler display; [35] FIG. 28 is a rendering 28000 modeling a power section temperature display; [36] FIG.29 is a rendering 29000 modeling a power vs. ground speed display; [37] FIG.30 is a rendering 30000 modeling a right motor gauges display; [38] FIG. 31 is a rendering 31000 modeling a right motor plot display; [39] FIG. 32 is a rendering 32000 modeling a service brake distribution & breakout display; [40] FIG. 33 is a rendering 33000 modeling a temperature stats - plot and breakout display; [41] FIG. 34 is a rendering 34000 modeling a tire monitor display; [42] FIG. 35 is a rendering 35000 modeling a truck load distribution display; [43] FIG. 36 is a rendering 36000 modeling a wheel motor speed v. torque; [44] FIG. 37 is a flowchart 37000 for a client query; [45] FIG. 38 is a rendering 38000 modeling query and/or visualization response displays regarding a machine speed; [46] FIG. 39 is a rendering 39000 modeling query and/or visualization response displays of the present invention regarding a mining truck bed position; [47] FIG. 40 is a query and/or visualization response display 40000 regarding operation of a mining truck; [48] FIG. 41 is a query and/or visualization response display 41000 regarding operation of a mining truck; [49] FIG. 42 is a rendering 42000 of gauge displays related to motion of a mining truck; [50] FIG. 43 is a rendering 43000 of gauge displays related to motion of a mining truck; [51] FIG. 44 is a query and/or visualization response display 44000 regarding operation of a mining truck; [52] FIG. 45 is a rendering 45000 of gauge displays related to motion and operation of a mining truck; [53] FIG. 46 is a block diagram of an exemplary embodiment of a machine data management system 46000; [54] FIG. 47 is a flow diagram of an exemplary embodiment of a machine data management method 47000; [55] FIG. 48 is a block diagram of an exemplary embodiment of an information device 48000.

Definitions

[56] When the following terms are used herein, the accompanying definitions apply: [57] accept - receive. [58] Active X - a set of technologies developed by Microsoft Corp. of Redmond, Washington. Active X technologies are adapted to allow software components to interact with one another in a networked environment, such as the Internet. Active X controls can be automatically downloaded and executed by a Web browser. [59] action - a performance of a deed or act. [60] activity - performance of a function. [61] adapted - structured and configured. [62] automatic - performed via an information device in a manner essentially independent of influence or control by a user.

[63] Boolean expression - an expression that, upon proper evaluation, results in a value of either true or false. Boolean operators can comprise operators such as relational operators (e.g., "less than", "<" and/or ">", etc.), "AND", "OR", "XOR", "NOR", "NAND", and/or NOT, etc.

[64] chart - a pictorial device used to illustrate quantitative relationships.

[65] chronological - ordered according to a time of occurrence.

[66] chronology cycle breakout - data obtained during a particular time period. For example, data obtained for a time period during which a mining truck hauls a particular load of material.

[67] communicate - to exchange information.

[68] communicative coupling - linking in a manner that facilitates communications.

[69] comparing - examining similarities or differences.

[70] component - a part of a larger whole.

[71] condition - existing circumstance.

[72] cycle distribution diagram - a chart or graph rendering information regarding elapsed times during a cycle. For example, for a mining truck, a cycle can be an amount of time spent hauling a particular load. The cycle can comprise an amount of time waiting for the mining truck to be loaded, an amount of time spent loading the mining truck, an amount of time during which the mining truck is transporting a load, an amount of time dumping the load, and/or an amount of time returning to a location for loading the mining truck, etc.

[73] cycle time - a time period associated with loading a haulage machine with an electric mining shovel.

[74] data - numbers, characters, symbols etc., that have no "knowledge level" meaning. Rules for composing data are "syntax" rules. Data handling can be automated.

[75] database - one or more structured sets of persistent data, usually associated with software to update and query the data. A simple database might be a single file containing many records, each of which is structured using the same set of fields. A database can comprise a map wherein various identifiers are organized according to various factors, such as identity, physical location, location on a network, function, etc.

[76] detection - an act of sensing or perceiving.

[77] direction of travel - a distance-independent angular measure of transverse motion of an object relative to a point of reference.

[78] duration - length of time.

[79] earthen - related to the earth.

[80] electrical - pertaining to electricity.

[81] electrical component - a device and/or system associated with a machine using, switching, and/or transporting electricity. An electrical component can be an electric motor, transformer, starter, silicon controlled rectifier, variable frequency controller, conductive wire, electrical breaker, fuse, switch, electrical receptacle, bus, and/or transmission cable, etc.

[82] electrical performance - performance related to an electrical component of a machine. For example, electrical performance can relate to a power supply, power consumption, current flow, energy consumption, electric motor functionality, speed controller, starter, motor-generator set, and or electrical wiring, etc.

[83] electrical - pertaining to electricity.

[84] electrical variable - a sensed reading relating to an electrical component. For example, an electrical power measurement, an electrical voltage measurement, an electrical torque measurement, an electrical motor speed measurement, an electrical rotor current measurement, and/or an electrical transformer temperature measurement, etc.

[85] environmental variable - a variable concerning a situation around a machine. For example, in the case of an electric mining shovel, an environmental variable can be a condition of material under excavation, weather condition, and/or condition of an electrical power supply line, etc.

[86] exporting - to send data from one computer program to another. Exporting can often result in a data formatting change.

[87] failure - a cessation of proper functioning or performance.

[88] fast motion - at a faster rate than an event actually occurred. [89] function of time - relating a variable to time so that for each time there is an associated value of the variable. Charting a variable as a function of time can result in a chart with a time axis.

[90] freeze - to stop the motion or progress.

[91] gauge - a graphical display rendering at least a value of a variable. A gauge can provide indications of a maximum acceptable value, a minimum acceptable value, and/or an accepted operating range, etc. A gauge can comprise a digital display, a status indicator for a discrete variable, a dial on an arc, a bar chart, a pie chart, and x-y plot, a bar indicative of a discrete change, and/or images representing a machine or sub-parts thereof, etc.

[92] graph - a pictorial device used to illustrate quantitative relationships.

[93] graphing - rendering via a graph.

[94] graphical - a pictorial and/or charted representation.

[95] historical time period - a past interval of time for which data has been collected.

[96] identifying - recognizing or detecting.

[97] identification - evidence of identity; something that identifies a person or thing.

[98] information - data that has been organized to express concepts. It is generally possible to automate certain tasks involving the management, organization, transformation, and/or presentation of information.

[99] information device - any general purpose and/or special purpose computer, such as a personal computer, video game system (e.g., PlayStation, Nintendo Gameboy, X-Box, etc.), workstation, server, minicomputer, mainframe, supercomputer, computer terminal, laptop, wearable computer, and/or Personal Digital Assistant (PDA), mobile terminal, Bluetooth device, communicator, "smart" phone (such as a Handspring Treo-like device), messaging service (e.g., Blackberry) receiver, pager, facsimile, cellular telephone, a traditional telephone, telephonic device, a programmed microprocessor or microcontroller and/or peripheral integrated circuit elements, an ASIC or other integrated circuit, a hardware electronic logic circuit such as a discrete element circuit, and/or a programmable logic device such as a PLD, PLA, FPGA, or PAL, or the like, etc. In general any device on which resides a finite state machine capable of implementing at least a portion of a method, structure, and/or or graphical user interface described herein may be used as an information device. An information device can include well-known components such as one or more network interfaces, one or more processors, one or more memories containing instructions, and or one or more input/output (I/O) devices, etc.

[100] Input/Output (I O) device - the input/output ( /O) device of the information device can be any sensory-oriented input and/or output device, such as an audio, visual, haptic, olfactory, and/or taste-oriented device, including, for example, a monitor, display, projector, overhead display, keyboard, keypad, mouse, trackball, joystick, gamepad, wheel, touchpad, touch panel, pointing device, microphone, speaker, video camera, camera, scanner, printer, haptic device, vibrator, tactile simulator, and/or tactile pad, potentially including a port to which an I/O device can be attached or connected.

[1O1] instructions - directions adapted to perform a particular operation or function.

[1O2] load - an amount of mined earthen material associated with a bucket and/or truck, etc.

[103] log - a record of events.

[104] machine - a device and/or vehicle adapted to perform at least one task.

[105] machine performance variable - a property associated with an activity of a machine. For example, a machine performance variable can be machine position, tons loaded per bucket, tons loaded per truck, tons loaded per time period, trucks loaded per time period, machine downtime, electrical downtime, and/or mechanical downtime, etc.

[106] machine-readable medium - a memory readable by an information device.

[107] material - any substance that can be excavated and/or scooped.

[108] measurement - a value of a variable, the value determined by manual and/or automatic observation.

[109] mechanical component - a device and/or system associated with a machine that is not primarily associated with using, switching, and/or transporting electricity. A mechanical component can be a bearing, cable, cable reel, gear, track pad, sprocket, chain, shaft, pump casing, gearbox, lubrication system, drum, brake, wear pad, bucket, bucket tooth, cable, and/or power transmission coupling, etc.

[110] mechanical performance - performance related to a mechanical component or system. For example, mechanical performance can relate to a bearing, gearbox, lubrication system, drum, brake, wear pad, bucket, bucket tooth, cable, power transmission coupling, and/or pump, etc.

[Ill] mechanical variable - a sensed reading relating to a mechanical component. For example, a bearing temperature measurement, an air pressure measurement, machine load reactions, and/or lubrication system pressure measurements, etc.

[112] memory device - any device capable of storing analog or digital information, for example, a non- volatile memory, volatile memory, Random Access Memory, RAM, Read Only Memory, ROM, flash memory, magnetic media, a hard disk, a floppy disk, a magnetic tape, an optical media, an optical disk, a compact disk, a CD, a digital versatile disk, a DND, and/or a raid array, etc. The memory device can be coupled to a processor and can store instructions adapted to be executed by the processor according to an embodiment disclosed herein.

[113] mine - a site from which earthen materials can be extracted.

[114] mining truck - a motor vehicle adapted to haul ore extracted from the earth.

[115] mining truck status indicators - an indication of a condition of a mining truck.

[116] operational variable - a variable related to operating a machine. For example, an operation variable can be a technique used by an operator to accomplish, a task with a first machine (e.g. a path used to haul a load in an mining truck), technique of an operator of a second machine used in conjunction with the first machine (e.g. how a mine haul truck spots relative to an electric mining shovel), number of second machines assigned in conjunction with the first machine, characteristics of second machines assigned in conjunction with the first machine (e.g. size, load capacity, dimensions, brand, and/or horsepower, etc.), production time period length, operator rest break length, scheduled production time for the machine, a cycle time, and/or a material weight, etc. [117] operator - one observing and/or controlling a machine or device. [118] over - with reference to. [119] over a time period of a different duration - with reference to a first time interval of a first length that is not the same as a second time interval of a second length. [120] packetized signal - electrical pulses representative of a collection of digital data comprised of information and associated headers transmitted over a packet-switching network. [121] packets - a collection of digital data comprised of information and an associated header transmitted over a packet-switching network. [122] panel - a surface containing switches and dials and meters for controlling a device. [123] part - component. [124] pattern - a characteristic form. [125] performance - an assessment. Performance can be measured by a characteristic related to an activity. [126] physical location - a tangible place where something exists relative to a reference point. [127] physical path - a tangible route followed, the route relative to a reference point. [128] predicting - prognosticating a future event. [129] position - location relative to a reference point.

[130] predetermined standard - a value and/or range established in advance. [131] predetermined threshold - a limit established in advance. [132] processor - a hardware, firmware, and/or software machine and/or virtual machine comprising a set of machine-readable instructions adaptable to perform a specific task. A processor acts upon information by manipulating, analyzing, modifying, converting, transmitting the information to another processor or an information device, and/or routing the information to an output device. [133] production data - information indicative of a measure relating to an activity involving operation of a machine. For example, bucket load weight, truck load weight, last truck load weight, total weight during a defined production time period, operator reaction, and/or cycle timer associated with the electric mining shovel, etc.

[134] providing - furnishing or supplying.

[135] pulldown menu - a menu in a graphical user interface, whose title is normally visible but whose contents are revealed only when the user activates it, normally by pressing the mouse button while the pointer is over the title, whereupon the menu items appear below the title.

[136] query - (v) to obtain information from a database responsive to a structured request, (n) a structured request for information from a database.

[137] radio button - a small outlined area, often round in shape, in a graphical user interface. The outlined area is adapted to accept a Boolean user- selection, usually by pointing and clicking a mouse in the cell.

[138] real-time - substantially contemporaneous to a current time. For example, a real-time transmission of information can be initiated and/or completed within about 120, 60, 30, 15, 10, 5, and/or 2, etc. seconds of receiving a request for the information.

[139] regarding - pertaining to.

[140] relationship - related to or correlated with.

[141] relative - considered in comparison to something else.

[142] relative position of a bed - a location of a portion of a truck adapted to haul materials relative to a plane defined by a centerline of a plurality of wheels of the truck. A truck bed of a truck can be raised to release a load of material.

[143] remote - in a distinctly different location.

[144] render - make perceptible to a human. For example data, commands, text, graphics, audio, video, animation, and/or hyperlinks, etc. can be rendered. Rendering can be via any visual and/or audio means, such as via a display, a monitor, electric paper, an ocular implant, a speaker, and/or a cochlear implant, etc.

[145] report - a presentation of information in a predetermined format.

[146] representation - an image or likeness of something. [147] representative data - a plurality of measurement data associated with defined times. For example, representative data can be a plurality of readings from sensor taken over a time period.

[148] request - an expression of a desire.

[149] reset - a control adapted to clear and/or change a threshold.

[150] responsive - reacting to an influence and/or impetus.

[151] retard torque - a moment of a force applied to slow an object's rotation and/or linear motion in a predetermined direction. Also equivalent to the product of an angular retard deceleration and a mass moment of inertia of an object.

[152] scrollable field - an area of a graphical user interface adapted to accept an input from a user, the input comprising a value obtainable by placing a pointer over an arrow in the graphical user interface thereby causing the value to increase or decrease.

[153] select - choose.

[154] sensor - a device adapted to measure a property. For example, a sensor can measure pressure, temperature, flow, mass, heat, light, sound, humidity, proximity, position, velocity, vibration, voltage, current, capacitance, resistance, inductance, and/or electro-magnetic radiation, etc.

[155] set - a collection of distinct elements having specific common properties.

[156] slow motion - at a slower rate than an event actually occurred.

[157] spreadsheet - software adapted to display, calculate, and/or manipulate data and characterized by rows and columns.

[158] statistical parameter - calculated information regarding data. Statistical parameters can comprise a count, sum, sub-total, total, ratio, mean, average, running average, weighted average, mode, median, maximum, minimum, local maximum, local minimum, standard deviation, variance, control chart range, statistical analysis of variance parameter, statistical hypothesis testing value, and/or a deviation from a standard value, etc.

[159] status - information relating to a descriptive characteristic of a device and or system. For example, a status can be on, off, and/or in fault, etc.

[160] store - save information on a memory device. [161] telegrams - data records. Telegrams related to a machine can comprise a machine type, a machine identifier, machine data, and/or a time stamp, etc. [162] temperature reading - an indication of an objects' heat. [163] time period - an interval of time. [164] time stamp - data representative of when something occurred temporally. [165] transverse motion - a linear and/or curvilinear movement of an object from a first point to a second point. [166] truck identifier - a label adapted to specify a particular truck. [167] truck load distribution - a plurality of actual track payloads. [168] truck type - an identifier indicative of a plurality of common traits or characteristics associated with a truck and shared by other trucks categorized therewith. [169] user - a person interfacing with an information device. [170] user interface - any device for rendering information to a user and/or requesting information from the user. A user interface includes at least one of textual, graphical, audio, video, animation, and/or haptic elements. [171] user-selected - stated, provided, and/or determined by a user. [172] value - an assigned or calculated numerical quantity. [173] variable - a property capable of assuming any of an associated set of values. [174] velocity - speed. [175] viewable - capable of being seen by. [176] weight of a load hauled - an amount of material transferred.

Detailed Description

[177] FIG. 1 is a diagram of a remote analysis system 1000.

[178] FIG. 2 is a flow diagram of a method 2000 of collecting and transmitting machine data. [179] FIG. 3 is a flow diagram of a method 3000 of transmitting machine information to a remote client.

[180] FIG. 4 is a flow diagram of a method 4000 of remote client data management.

[181] FIG. 5 is a flow diagram of a method 5000 of remote client report generation.

[182] FIG. 6 is a flow diagram of a method 6000 of rendering data by a remote client.

[183] FIG. 7 is a flow diagram of a method 7000 of data analysis by a remote client.

[184] FIG. 8 is a block diagram of a client information device 8000.

[185] FIG. 9 is a block diagram of a data form 9000 of data record denoted as a telegram.

[186] FIG. 10 is a rendering 10000 modeling an auxiliary gauge display.

[187] FIG. 11 is a rendering 11000 modeling an auxiliary temperature display.

[188] FIG. 12 is a rendering 12000 modeling a chronology basic table.

[189] FIG. 13 is a rendering 13000 modeling a chronology cycle breakout.

[190] FIG. 14 is a rendering 14000 modeling a chronology export to a spreadsheet table.

[191] FIG. 15 is a rendering 15000 modeling a cycle distribution by time and distance display.

[192] FIG. 16 is a rendering 16000 modeling a DC bus gauge display.

[193] FIG. 17 is a rendering 17000 modeling a DC bus plot display. [194] FIG. 18 is a rendering 18000 modeling a diagnostic message list and stats display.

[195] FIG. 19 is a rendering 19000 modeling a diagnostic message plot display.

[196] FIG. 20 is a rendering 20000 modeling a driver's plot display.

[197] FIG. 21 is a rendering 21000 modeling a driver's screen display.

[198] FIG. 22 is a rendering 22000 modeling a general plot display.

[199] FIG. 23 is a rendering 23000 modeling a general screen display.

[200] FIG. 24 is a rendering 24000 modeling a left motor gauges display.

[201] FIG. 25 is a rendering 25000 modeling a left motor plot display.

[202] FIG. 26 is a rendering 26000 modeling a message window display.

[203] FIG. 27 is a rendering 27000 modeling a mine profiler display.

[204] FIG. 28 is a rendering 28000 modeling a power section temperature display.

[205] FIG. 29 is a rendering 29000 modeling a power vs. ground speed display.

[206] FIG. 30 is a rendering 30000 modeling a right motor gauges display.

[207] FIG. 31 is a rendering 31000 modeling a right motor plot display.

[208] FIG. 32 is a rendering 32000 modeling a service brake distribution & breakout display. [209] FIG. 33 is a rendering 33000 modeling a temperature stats - plot and breakout display.

[210] FIG. 34 is a rendering 34000 modeling a tire monitor display.

[211] FIG. 35 is a rendering 35000 modeling a truck load distribution display.

[212] FIG. 36 is a rendering 36000 modeling a wheel motor speed v. torque.

[213] FIG. 37 is a flowchart 37000 for a client query;

[214] FIG. 38 is a rendering 38000 modeling query and/or visualization response displays regarding a machine speed;

[215] FIG. 39 is a rendering 39000 modeling query and/or visualization response displays of the present invention regarding a mining truck bed position;

[216] FIG. 40 is a query and/or visualization response display 40000 regarding operation of a mining truck;

[217] FIG. 41 is a query and/or visualization response display 41000 regarding operation of a mining truck;

[218] FIG. 42 is a rendering 42000 of gauge displays related to motion of a mining truck;

[219] FIG. 43 is a rendering 43000 of gauge displays related to motion of a mining truck;

[220] FIG. 44 is a query and/or visualization response display 44000 regarding operation of a mining truck;

[221] FIG. 45 is a rendering 45000 of gauge displays related to motion and operation of a mining truck. [222] FIG. 46 is a block diagram of an exemplary embodiment of a machine data management system 46000. Machine data management system 46000 can comprise a machine 46100. In certain exemplary embodiments, machine 46100 can be a mining truck, electric mining shovel, mining drill, locomotive, automobile, front end loader, bucket wheel excavator, pump, fan, compressor, and/or industrial process machine, etc. Machine 46100 can be powered by one or more diesel engines, gasoline engines, and/or electric motors, etc.

[223] Machine 46100 can comprise a plurality of sensors 46120, 46130, 46140. Any of sensors 46120, 46130, 46140 can measure, for example: time, pressure, temperature, flow, mass, heat, flux, light, sound, humidity, proximity, position, velocity, acceleration, vibration, torque, retard torque, voltage, current, capacitance, resistance, inductance, and/or electro-magnetic radiation, etc., and/or a change of any of those properties with respect to time, position, area, etc. Sensors 46120, 46130, 46140 can provide information at a data rate and/or frequency of, for example, between approximately 0.1 and approximately 500 readings per second, including all subranges and all values therebetween, such as for example, approximately 100, 88, 61, 49, 23, 1, 0.5, and/or 0.1, etc. readings per second. Any of sensors 46120, 46130, 46140 can be communicatively coupled to an information device 46160.

[224] Information obtained from sensors 46120, 46130, 46140 related to machine 46100 can be analyzed while machine 46100 is operating. Information from sensors 46120, 46130, 46140 can relate to performance of measurable parts of the electrical system, performance of measurable parts of the mechanical system, measurable elements relating to machine performance, performance of one or more operators, environmental variables, and/or performance of one or more dispatch entities associated with machine 46100, etc. For example, sensors 46120, 46130, 46140 related to machine 46100 can measure a relative position of a bed of a truck, such as a mining truck. Sensors 46120, 46130, 46140 related to machine 46100 can measure a torque such as a retard torque related to a machine, such as a mining truck. [225] Dispatch entities can be associated with a dispatch system. The dispatch system can be an information system associated with the machine. The dispatch system can collect data from many diverse machines, personnel, and/or entities and can formulate reports of production associated with machine 46100, personnel and/or management entities associated with the production, a location receiving the production, and/or production movement times, etc. Certain exemplary embodiments can collect information related to machine 46100 through operator input codes.

[226] Information device 461 0 can comprise a user interface 46170 and/or a user program 46180. User program 46180 can, for example, be adapted to obtain, store, and/or accumulate information related to machine 46100. For example, user program 46180 can store, process, calculate, and/or analyze information provided by sensors 46120, 46130, 46140 as machine 46100 operates and/or functions, etc. User interface 46170 can be adapted to receive operator 46190 input and/or render output to operator 46190, such as information provided by and/or derived from sensors 46120, 46130, 46140 as machine 46100 operates and/or functions, etc.

[227] Information device 46160 can be adapted to process information related to any of sensors 46120, 46130, 46140. For example, information device 46160 can detect and/or anticipate a problem related to machine 46100. Information device 46160 can be adapted to notify an operator 46190 with information regarding machine 4610O.

[228] Any of sensors 46120, 46130, 46140, and/or information device 46160 can be communicatively coupled to a wireless transmitter and or transceiver 4615O. Wireless transceiver 461 0 can be adapted to communicate data related to machine 46100 with a wireless receiver and/or second transceiver 46200. Data related to machine 46100 can comprise electrical measurements and/or variables such as voltages, currents, resistances, impedances, and/or inductances, etc.; mechanical measurements and/or variables such as torques, shaft speeds, vibration amplitudes, vibration frequencies, and/or accelerations, etc.; temperature measurements and/or variables such as from a motor, bearing, and/or transformer, etc.; pressure measurements and/or variables such as air and/or lubrication pressures; production data and/or variables (e.g. weight and/or load related data) such as dipper load, truck load, last truck load, shift total weight; and/or time measurements; motion control measurements and/or variables such as, for certain movable machine components, power, torque, speed, and/or rotor currents; etc.

[229] A network 46300 can communicatively couple wireless transceiver 46200 to devices such as an information device 46500 and/or a server 46400. Server 46400 can be adapted to receive information transmitted from machine 46100 via wireless transceiver 46150 and ^{^}wireless transceiver 46200. Server 46400 can be communicatively coupled to a memory device 46600. Memory device 46600 can be adapted to store information from machine 46100. Memory device 46600 can store information, for example, in a format compatible with a database standard such as XML, Microsoft SQL, Microsoft Access, MySQL, Oracle, FileMaker, Sybase, and or DB2, etc.

[230] Server 46400 can comprise an input processor 46425 and a storage processor 46450. Input processor 46425 can be adapted to receive representative data, such as data generated by sensors 46120, 46130, 46140, from wireless transceiver 46200. The representative data can be transmitted responsive to a transmission rate selected by a wirelessly receiving user. Storage processor 46450 can be adapted to store representative data generated from sensors 46120, 46130, 46140 on memory device 46600. Server 46400 can receive representative data from wireless transceiver 46200 in a telegram and/or record format. Formatted records can comprise a machine identifier, a machine type, machine data, and/or a time stamp, etc.

[231] Information device 46500 can communicate with machine 46100 via wireless transceiver 46200 and wireless transceiver 46150. Information device 46500 can notify and/or render information for the user via user interface 46520.

[232] Information device 46500 can comprise an input processor 46525 and a report processor 46575. In certain exemplary embodiments, input processor 46525 can be adapted to receive representative data, such as data generated by and/or derived from sensors 46120, 46130, 46140. The representative data can be transmitted responsive to a data transmission rate selected by a wirelessly receiving user. Report processor 46575 can be adapted to render at least one report responsive to received and/or representative data, such as data obtained from, for example, memory device 466O0.

[233] Information device 46500 can be adapted to obtain and/or receive information from server 46400 related to machine 46100. Information device 46500 can comprise a user interface 46560 and/or a client program 46540. Client program 46540 can, for example, be adapted to obtain and/or accumulate information related to operating and/or maintaining machine 46100.

[234] Client program 46540 can be adapted to provide one or more user interfaces 46560. Via user interface 46560, a user can be queried for the user's input and/or desires, those desires can be provided to client program 46540 and or a remote program and/or device, such as server 46400, and/or the user can be provided with information and/or notifications, etc.

[235] In certain exemplary embodiments, user-interface 46560 can comprise any known hardware and/or software rendering technology. For example, user interface 46560 can comprise a pulldown menu, user-selectable radio button, and/or scrollable field, etc., adapted to provide information indicative of the user-selectable time period.

[236] Client program 46540 can be adapted, via user-interface 46560, to accept a user-selected time period, such as a historical time period, for obtaining information regarding one or more sensors such as sensors 46120, 46130, 46140. As another example, the user can be queried to select one or more sensors and/or information regarding one or more sensors, such as an identity, location, and/or type of sensor, etc.

[237] In certain exemplary embodiments, client program 46540 can be adapted to render, i.e., play, annunciate, display, ctiart, and/or animate, etc., information regarding the sensor, such as for the user-selected time period. In certain exemplary embodiments, client program 46540 can be adapted to process, i.e., analyze, correlate, aggregate, classify, interpolate, extrapolate, determine statistical parameters regarding, and/or provide predictions regarding, etc., information regarding the sensor from the user-selected time period. Client program 46540 can be adapted to provide instructions adapted to render a representation of an action of an operator of machine 46100. The action of the operator can be related to a user-selected sensor for which information is obtained.

[238] In certain exemplary embodiments, the user can specify a time interval during which the information regarding the sensor from the user-selected time period is rendered and/or processed, etc. The duration of the time interval during which the information regarding the user-selected sensor from the user- selected time period is rendered and/or processed can. be different from the duration of the user-selected time period.

[239] For the time interval, information regarding the user- selected sensor can be rendered at a different rate that a rate at which the information was obtained from the sensor. For example, the information regarding the user-selected sensor can be played in slow motion such as on a representation of a gauge. In certain exemplary embodiments, the information regarding the user-selected sensor can be played in fast motion such as on a representation of a gauge. The representation of the gauge can provide an analog or digital display and can comprise a typical value, a typical range, a recommended maximum value, and/or a recommended minimum value, etc. In certain exemplary embodiments, client program 46540 can be adapted to freeze a displayed gauge at a point in time. The point in time can be automatically determined and/or directly or indirectly by the user.

[240] In certain exemplary embodiments, a plurality of representations can be rendered approximately simultaneously. For example, the plurality of representations can comprise representations of analog gauges rendering data from user-selected temperature sensors. In certain exemplary embodiments, the plurality of representations can comprise and/or group a plurality of representations of user-selected status indicators. Status indicators can comprise information regarding whether a machine is operating, whether a particular component of the machine is operating, whether a particular component of the machine is operating properly, whether the machine is en route to a maintenance entity, and/or whether the machine is in production, etc.

[241] In certain exemplary embodiments, client program 46540 can be adapted to group the plurality of representations regarding automatically and/or user- selected indicators related to machine 46100. The plurality of representations can be grouped according to at least a partial representation of a panel readable by an operator associated with machine 4610O. The plurality of representations can be grouped such that an axis of a first representation of the plurality of representations is parallel to an axis of a second representation of the plurality of representations. The plurality of representations can be digital and or analog in appearance.

[242] Client program 46540 can be adapted to chart, plot, and/or graph the information regarding the user-selected sensor for the user-selected time period as a function of time. Certain exemplary embodiments can comprise graphing information regarding multiple user-selected sensors concurrently as a function of time. Graphing information regarding sensors as a function of time can provide a user with a visual tool to identify relationships between variables and to better understand problems and/or failures. In certain exemplary embodiments, client program 46540 can automatically identify a relationship between information related to a first sensor and information related to a second sensor.

[243] Client program 46540 can be adapted to provide machine readable instructions to render a map associated with a path of the machine via user interface 46560. The map can comprise elevation information, grade and/or slope information, topographic information, and/or indicate a relative position of the machine compared to an object and/or point of reference. The map can comprise a representation relating to the physical location, physical path, transverse motion, and/or direction of travel of machine 46100. Client program 46540 can be adapted to provide a rendering comprising an attempt to slow a machine. The rendering can comprise and indication of an applied retard torque and/or machine deceleration information.

[244] Client program 46540 can be adapted to obtain information from the database responsive to a received user request to render chronological information via user interface 46560. In certain exemplary embodiments, the chronological information can be rendered in the form of a chronology table. The chronology table can comprise a tabular representation of information related to machine 46100. The chronology table can be sorted according to a time stamp comprised in each data record. The chronology table can comprise user-selected fields from the database. In certain exemplary embodiments, the chronology table can comprise an automatically selected set and/or subset of fields from the database related to machine 46100 or a plurality of machines comprising machine 46100. In certain exemplary embodiments, the chronological information can be rendered in the form of a time line and/or a chronological log, which can comprise a sequential representation of sensor data rendered and/or reported over a predetermined and/or user-specified time interval.

[245] Client program 46540 can be adapted to render truck load distribution information associated with the mining truck. The truck load distribution information can be related to a user-selected sensor. The truck load distribution information can comprise frequency data of load weights grouped in one or more of a plurality of ranges of payloads hauled by the truck.

[246] Client program 46540 can be adapted to render and/or process information associated with the type of payload carried by a given mining truck, such as whether the load is waste material, ore, off-grade material, prime material, etc. [247] Client program 46540 can be adapted to render and/or process information associated with environmental conditions such as temperature, barometric pressure, humidity, precipitation, dust conditions, fog, etc.

[248] Client program 46540 can be adapted to render and/or process information associated with operational conditions such as a time and/or location of a blasting event, operator identity, dispatcher identity, shovel identity.

[249] FIG. 47 is a flow diagram of an exemplary embodiment of a data management method 47000 for a machine. Data management method 47000 can be used for reporting, rendering, processing, improving, optimizing, predicting, and/or analyzing information regarding operations and/or maintenance related to a machine involved in activities such as mining, driving, and/or manufacturing, etc. At activity 47100, data can be received at an information device associated with the machine. In certain exemplary embodiments, the information device can be local to the machine. The information device can be adapted to store, process, filter, correlate, transform, compress, analyze, report, render, process, and/or transfer the data to a first wireless transceiver, etc.

[250] In certain exemplary embodiments the data can comprise an initialization file. The initialization file can be transmitted to and/or received by a server that can be remote from the machine. The initialization file can comprise identification information related to the machine. The initialization file can comprise, for example, a moniker associated with the machine, a type of the machine, an address of the machine, information related to the transmission rate of data originating at the machine, a transmission scan interval, log directory, time of day to start a log file, and/or information identifying the order in which data is sent and/or identification information relating to sensors associated with the machine from which data originates.

[251] At activity 47200, the data can be transmitted. The data can be transmitted via the first wireless transceiver to the second wireless transceiver. The second wireless transceiver can transmit the information via a wired and/or wireless connection to at least one wirelessly receiving information device to be stored, viewed, and/or analyzed by at least one wirelessly receiving user. In certain exemplary embodiments, transmitted data can be routed and/or received by a remote server communicatively coupled to, for example, the second wireless transceiver via a network.

[252] Data can be transmitted at a rate received at an apparatus and/or system associated with the machine and adapted to adjust transmissions from the machine responsive to the transmission rate. The transmission rate can be received from a second information device remote from the machine and/or the wirelessly receiving user. The transmission rate can be related to a transmission rate between at least the first wireless transceiver and the second wireless transceiver, and/or a sampling rate associated with data supplied from at least one sensor to the first wireless transceiver. The user can specify a transmission rate via a rendered user interface on an information device. In certain exemplary embodiments, the transmission rate can be selected via the rendered user via, for example, a pull down menu, radio button, and/or data entry cell, etc.

[253] In certain exemplary embodiments, transmitted data can be received at an information device remote from the machine. The information device can receive data transmitted via a first wireless transceiver associated with the machine and a second wireless transceiver remote from the machine. In certain exemplary embodiments, the information device can be adapted to receive the data indirectly via a memory device. The information device can be adapted to integrate information from a plurality of sources into a database. Integrating information can comprise associating data values from a plurality of sources to a common time clock.

[254] In certain exemplary embodiments, the data can comprise information relating to a status of the machine. The status of the machine can comprise, for example, properly operating, shut down, undergoing scheduled maintenance, operating but not producing a product, and/or relocating, etc. The status of the machine can be provided to and/or viewed by the user via a user interface. [255] In certain exemplary embodiments, data communication can be validated. For example, the first wireless transceiver can query and/or test transmissions from the second wireless receiver in order to find, correct, and/or report errors in at least one data transmission. In certain exemplary embodiments, a user can be provided with a status related to the data communication via a user interface based rendering.

[256] In certain exemplary embodiments, data from the machine can be received at a server and/or an information device. The data can comprise a plurality of values for a plurality of machine system variables associated with one or more machine system components. The plurality of machine system variables can comprise operational variables, environmental variables, variables related to maintenance, variables related to mechanical performance of the machine, and/or variables related to electrical performance of the machine, etc. In certain exemplary embodiments, the machine can be an electric mining shovel. The plurality of machine system variables can comprise at least one operational variable. In certain exemplary embodiments, the at least one operational variable can be related to digging earthen material. In certain exemplary embodiments, the at least one operational variable can comprise non-binary values.

[257] In certain exemplary embodiments, data can be transmitted and/or received from a machine dispatch entity that can comprise information related to the actions of a machine dispatcher, haulage machines associated with an excavation machine, equipment scheduling, personnel scheduling, maintenance schedules, historical production data, and/or production objectives, etc.

[258] At activity 47300, data can be stored by an information device. The information device can store the data in a memory device. The data can be stored in a plurality of formats such as SQL, MySQL, Microsoft Access, Oracle, FileMaker, Excel, SYLK, ASCII, Sybase, XML, and/or DB2, etc. [259] At activity 47400, the user can provide input such as a selection of a sensor for which to display and/or analyze data.

[260] At activity 46500, the user can provide input such as a user-selected time period over which data can be analyzed and/or rendered.

[261] At activity 47500, data can be queried. Certain exemplary embodiments can be adapted to accept information from the user and automatically create a Boolean expression adapted to query a database for user-requested information. The user can select parameters related to the Boolean expression using any of a plurality of user interface elements such as radio buttons, scrolling menus, and/or cells adapted to receive input, etc. For example, the user might desire to obtain information regarding an engine temperature during a period between 9 am and 11 am, resulting in a Boolean expression analogous to "((Sensor 1 EQ 'engine temp.') and (Time EQ (9:00 to 11:00))." As another example the user might desire for information regarding engine temperature and oil pressure when the engine temperature is above 250 degrees Fahrenheit, resulting in a Boolean expression analogous to "((Sensor 1 EQ ('engine temp.' if > 250) and (Sensor 2 EQ 'engine oil pressure') and (Time EQ (9:00 to 11:00))." The Boolean expression can be used to retrieve a plurality of query-corcesponding records comprised in the database.

[262] The data related to the machine can be parsed and or extracted from a memory device. Queried data can be compared to a predetermined threshold and/or pattern. The data can be summarized and/or reported subsequent to the query. Querying the data can allow the wirelessly receiving user to manipulate and/or analyze the data related to the machine. In certain exemplary embodiments the data can be queried using a Machine Search Language engine.

[263] At activity 47600, a report can be rendered. The report can comprise a summary of the data and/or exceptions noted during an analysis of the data. The report can comprise information related to, for example, machine locations, machine paths, actual torques, speeds, operator control positions, dispatch data, production, energy use associated with the machine, machine position, machine motion, and/or cycle times associated with the machine, etc. The report can comprise information related to the operation of the machine. For example, for a mining shovel, the report can comprise information related to the mining shovel digging, operating but not digging, propelling, idling, offline, total tons produced in a predetermined time period, total haulage machines loaded in the predetermined time period, average cycle time for a hauling machine, average tons mined, and/or average haulage machine loads transfened, etc. In certain exemplary embodiments, the report can comprise a cycle distribution diagram. The cycle distribution diagram can provide a management entity with information relating to comparative machine performance indications.

[264] Wherein the machine is a mining track, the report can comprise information related to a haul cycle time, material weight hauled, mining shovel to which the mining truck is assigned, dispatch information, and/or average loads transferred, etc. The report can provide operating and/or maintenance entities with information related to the machine; recommend a course of action related to the operation and/or maintenance of the machine; historical and/or predictive information; trends in data, machine production data; and/or at least one deviation from an expected condition as calculated based upon the data; etc.

[265] In certain exemplary embodiments, the data can be rendered and/or updated via a user interface in real-time with respect to the sensing of the physical properties underlying the data, and/or the generation, collection, and/or transmission of the data from the machine. The user interface can be automatically updated responsive to updates and/or changes to the data as received from the machine. Data can be rendered via the user interface from a user selected subset of sensors of a plurality of sensors associated with the machine. Data can be rendered via the user interface from a user selected subset of data points, such as, for example, every 8^th data point, every data point having a value outside a predetermined limit, every data point corresponding to a predetermined event, etc. The user can select a time period over which historical data can be rendered via the user interface, hi this manner the user can analyze historical events in order to determine trends and/or assist in improving machine operations and/or maintenance.

[266] In certain exemplary embodiments data from the machine can be rendered via the user interface which can comprise a 2-dimensional, 3-dimensional, and/or 4-dimensional (e.g., animated, or otherwise time-coupled) schematic model of the machine. The schematic model of the machine can assist the user in visualizing certain variables and/or their effects related to the machine. The schematic model of the machine can reflect a position of the machine relative to a fixed location, geographical position, and/or relative to another machine, etc. The schematic model can comprise proportionally accurate graphics and/or quantitative and/or qualitative indicators of conditions associated with one or more machine components. For a mining shovel, for example, the plurality of machine components can comprise hoist rope length, stick extension, and/or swing angles, etc. The rendering can comprise graphical indicators of joystick positions and the status displays that an operating entity can sense while running the machine. For a mining truck the rendering can comprise a diesel engine, motor generator set, electric wheel drive motors, transmission gear setting, steering setting, retard setting, and/or truck bed position, etc. In this way, the rendering can be adapted to show a mechanical response of the machine under a given set of conditions and/or how the operating entity judges the mechanical response. The rendering can comprise an electrical response of the machine and/or how the operating entity judges the electrical response. In certain exemplary embodiments, data rendered from the machine can comprise GPS based positioning information related to the machine. The data can comprise information related to a survey. For example, in a mining operation, mine survey information can be integrated with positioning information related to the machine.

[267] The rendering can comprise production information related to the machine. In the case wherein the machine is an electric mining shovel, production information can comprise a bucket load weight, haulage machine load weight, last haulage machine load weight, shift total weight, and/or cycle timer value, etc. For a mining truck, production information can comprise a truck load weight, hauled material tonnage per shift, hauled material tonnage from a shovel, and or cycle time for hauling a load, etc. The rendering can comprise electrical information such as, for example, readings from line gauges, power gauges, line strip charts, power strip charts, and/or temperature sensors related to an electrical component such as a transformer, etc. The rendering can comprise mechanical information such as, for example, readings from temperature sensors related to a mechanical component such as a bearing, air pressure sensors, lubrication system pressure sensors, and/or vibration sensors, etc.

[268] In certain exemplary embodiments data can be rendered via a user interface in one or more of a plurality of display formats. For example, data can be rendered on a motion strip chart, motion XY plot, and/or motion gauge, etc. Data can be rendered on a chart comprising a minimum and/or maximum pointer associated with the data. The minimum and/or maximum pointer can provide a comparison of a value of a process variable with a predetermined value thereby potentially suggesting that some form of intervention be undertaken. Certain exemplary embodiments can comprise a feature adapted to allow the minimum and/or maximum pointer to be reset and/or changed. For example, the minimum and/or maximum pointer can be changed as a result of experience and/or a change in design and/or operation of the machine. The minimum and/or maximum pointer can be changed by, for example, an operating entity, management entity, and/or engineering entity, etc.

[269] A graph can be rendered comprising information from a user-selected sensor. The graph can be of an X-Y plot wherein information from a first sensor is plotted as a function of information from a second sensor. For example, for a mining truck a chart indicating torque relative to motor speed can be graphed. In certain exemplary embodiments, information from a plurality of sensors can be charted and/or graphed as a function of time. Plotting graphs comprising information from a plurality of sensors can allow the user to identify relationships between sensor information. The graph can be a chronology cycle breakout wherein truck haulage cycle times can be distributions can be plotted over a shift, a day, a plurality of shifts, and/or a plurality of days, etc.

[270] The rendering can comprise elements of graphic user interface, such as menu selections, buttons, command-keys, etc., adapted to save, print, change cursors, and/or zoom, etc. Certain exemplary embodiments can be adapted to allow the user to select a subset of sensors and/or data associated with the machine to be rendered. Certain exemplary embodiments can be adapted to allow the user to select a time range over which the data is rendered. Certain exemplary embodiments can be adapted to provide the user with an ability to load and play log files via the rendering. Rendering commands can include step forward, forward, fast forward, stop, step back, play back, and/or fast back, etc. Additional features can be provided for log positioning and/or zooming in and out relative to a particular time period. Certain exemplary embodiments can comprise a drop down box adapted to accept a user selection of time intervals and/or a start time.

[271] The report can comprise, for example, a machine performance variable; information related to performance of a dispatch entity, such as a mine dispatch entity; information related to performance of a machine mechanical component; information related to performance of an machine electrical component; information related to activities involving the machine, such as digging activities in the case of an electric mining shovel; information related to non-digging activities involving the machine, such as operator training; and/or information related to propelled motion of the machine; etc.

[272] At activity 47700, data can be compared to a standard. The standard can be a predetermined threshold, value, limit, data point, and/or pattern of data related to the machine. The standard, or metric, can be determined. The standard can be a statistical parameter related to least one of the machine system variables. Determining the standard can provide information adapted to improve machine operation, improve performance of a machine operating entity, improve performance of a machine dispatching entity, improve machine maintenance, and/or reduce machine downtime, etc. Comparing data to a standard can, for example, determine a past, present, or impending mechanical failure; electrical failure; operator error; operator performance; and/or supervisor performance, etc. Comparing data to a standard can be used to provide a machine alert related to the sensor and/or data therefrom.

[273] In certain exemplary embodiments, values for one or more variables can be compared. In certain exemplary embodiments, values for a variable can be compared to a predetermined standard. For example, a bearing vibration reading can be compared to a predetermined standard vibration amplitude, pattern, phase, velocity, acceleration, etc., the predetermined standard representing a value indicative of an impending failure. Predicting an impending bearing failure can allow proactive, predictive, and/or preventive maintenance rather than reactive maintenance.

[274] As another example, a production achieved via the machine can be compared with a predetermined minimum threshold. If the production achieved is less than the predetermined minimum, a management entity can be notified in order to initiate corrective actions. If the production achieved is above the predetermined minimum by a predetermined amount and/or percentage, the management entity can be notified to provide a reward and/or investigate the causes of the production achieved.

[275] As a further example, machine productivity can be compared to a predeteraύned standard. For example, in a mining operation for predetermined production period, tons mined can be compared to a historical statistical metric associated with the machine. The machine productivity comparison can provide a management entity with information that can be adapted to improve performance related to a machine operator, a dispatch entity, a maintenance entity, and/or an operator associated with a related machine.

[276] As yet another example, an operating temperature for an electric motor controller can be compared to a predetermined maximum. If the operating temperature exceeds the predetermined maximum, a maintenance entity can be notified that a cooling system has failed and or is non-functional. Repairing the cooling system promptly can help prevent a failure of the electric motor controller due to overheating.

[277] As still another example, an electric mining shovel idle time while operating can be compared to a predetermined maximum threshold. If the electric mining shovel idle time exceeds the predetermined maximum threshold, a mine dispatch entity can be notified that at least one additional haulage machine should be assigned to the electric mining shovel in order to improve mine production.

[278] As still another example, a lubrication system pressure and/or use can be compared to predetermined settings. If the lubrication system is down or not performing properly, an operational and/or maintenance entity can be notified. Tracking and/or comparing lubrication system characteristics can be useful in predicting and/or preventing failures associated with inadequate lubrication.

[279] In certain exemplary embodiments, variables from the machine data can be correlated manually and/or automatically. For example, values for two of the plurality of machine system variables can be mathematically analyzed in order to determine a correlation between those variables. Determining a correlation between variables can, for example, provide insights into improving machine operations and/or reducing machine downtime.

[280] In certain exemplary embodiments, the server and/or information device can determine a trend related to at least one of the machine system variables. The trend can be relative to time and/or another machine system variable. Determining the trend can provide information adapted to improve machine design, improve machine operation, improve performance of a machine operating entity, improve performance of a machine dispatching entity, improve machine maintenance, and/or reduce machine downtime, etc.

[281] In certain exemplary embodiments, two correlated variables associated with the machine can be analyzed. In embodiments wherein the machine is an electric mining shovel, the two correlated variables can be non-load-related and/or non-positional variables related to the electric mining shovel.

[282] Analyzing variables associated with the machine can comprise utilizing a pattern classification and/or recognition algorithm such as a decision tree, Bayesian network, neural network, Gaussian process, independent component analysis, self -organized map, and/or support vector machine, etc. The algorithm can facilitate performing tasks such as pattern recognition, data mining, classification, and/or process modeling, etc. The algorithm can be adapted to improve performance and/or change its behavior responsive to past and/or present results encountered by the algorithm. The algorithm can be adaptively trained by presenting it examples of input and a corresponding desired output. For example, the input might be a plurality of sensor readings associated with a machine component and an experienced output a failure of a machine component. The algorithm can be trained using synthetic data and/or providing data related to the component prior to previously occurring failures. The algorithm can be applied to almost any problem that can be regarded as pattern recognition in some form. In certain exemplary embodiments, the algorithm can be implemented in software, firmware, and or hardware, etc.

[283] Certain exemplary embodiments can comprise analyzing a vibration related to the machine based on values from at least one vibration sensor. The values can relate, for example, to a time domain, frequency domain, phase domain, and/or relative location domain, etc. The values can be presented to the pattern recognition algorithm to find patterns associated with impending failures. The values can be normalized, for example, with respect to a frequency and/or phase of rotation associated with the machine. The values can be used to obtain dynamic information usable in detecting and/or classifying failures.

[284] Failures associated with the machine can be preceded by a condition such as, for example, a changing tolerance, imbalance, and/or bearing wear, etc. The condition can result in a characteristic vibration signature associated with an impending failure. In certain exemplary embodiments, the characteristic vibration signature can be discernable from other random and/or definable patterns within and/or potentially within the values.

[285] Certain exemplary embodiments can utilize Fourier transforms and/or frequency normalization of the values. For example, frequency variables associated with power spectral densities can be scaled to predetermined frequencies. Fourier transforms and/or scaling frequency variables can provide clearer representations of certain chronological and/or spectral patterns.

[286] Vibration sensor readings can be sampled and processed at constant and/or variable time intervals. Certain exemplary embodiments can demodulate the vibration sensor readings. In certain exemplary embodiments, a frequency spectrum can be computed via a Fourier transform technique. The pattern recognition algorithm can be adapted to recognize patterns in the frequency spectrum to predict an impending machine component failure.

[287] The pattern recognition algorithm can comprise a plurality of heuristic rales, which can comprise, for example, descriptive characteristics of vibration patterns associated with a failure of the component of the machine. The heuristic rales can comprise links identifying likely causes, diagnostic procedures, and/or effects related to the failure. For example, the heuristic rules can be adapted to adjust maintenance, machine, and/or personnel schedules responsive to detecting an impending failure.

[288] Certain exemplary embodiments can monitor the machine while the machine is operating. Machine analysis functions can evaluate events associated with the machine. Machine analysis functions can determine causes of events and/or conditions that precede one or more events, such as a failure. Received data can be analyzed to detect average, below average, and/or above average performance associated with the machine. The information associated with the machine can be correlated with the dispatch system. In certain exemplary embodiments, applications can be customized towards individualized needs of operational units associated with the machine, such as a mine. [289] At activity 47800, a failure can be detected. The failure can be associated with a mechanical and/or electrical component of the machine. For example, the mechanical failure can relate to a bearing, wear pad, engine, gear, and/or valve, etc. The electrical failure can relate to a connecting wire, motor, motor controller, starter, motor controller, transformer, capacitor, diode, resistor, and/or integrated circuit, etc. The failure can be automatically detected via comparing sensor data to a predetermined threshold and/or via automatically recognizing a pattern in sensed and/or calculated data associated with the machine.

[290] At activity 47900, a user can be alerted. The user can be local to the machine and/or operating the machine. In certain exemplary embodiments, the user can be the wirelessly receiving user, the dispatch entity, a management entity, and/or a maintenance entity. The user can be automatically notified to schedule and/or perform a maintenance activity associated with the machine.

[291] In certain exemplary embodiments, a management entity associated with the machine can be notified of information related to the machine. The management entity can be notified of certain comparisons associated with activity 3500 and/or results associated with activity 3600. Notifying the management entity can allow for coreective action to be taken to avoid lower than desired performance. Notifying the management entity can provide the management entity with information usable to improve performance related to the machine.

[292] In certain exemplary embodiments, a maintenance entity associated with the machine can be notified, such as regarding a problem, scheduled maintenance and/or unscheduled maintenance associated with the machine. Notifying the maintenance entity can provide for prompt repair and/or prompt scheduling of repair associated with the machine. Information obtained via activity 3600 can provide information usable in improving preventative maintenance related to the machine. [293] FIG. 48 is a block diagram of an exemplary embodiment of an information device 48000, which in certain operative embodiments can comprise, for example, information device 46160, server 46400, and information device 46500 of FIG. 46. Information device 48000 can comprise any of numerous well-known components, such as for example, one or more network interfaces 48100, one or more processors 48200, one or more memories 48300 containing instructions 484O0, one or more input/output (I/O) devices 48500, and/or one or more user interfaces 48600 coupled to I/O device 48500, etc.

[294] In certain exemplary embodiments, via one or more user interfaces 48600, such as a graphical user interface, a user can view a rendering of information related to a machine.

[295] Still other embodiments will become readily apparent to those skilled in this art from reading the above-recited detailed description and drawings of certain exemplary embodiments. It should be understood that numerous variations, modifications, and additional embodiments are possible, and accordingly, all such variations, modifications, and embodiments are to be regarded as being within the spirit and scope of the appended claims. For example, regardless of the content of any portion (e.g., title, field, background, summary, abstract, drawing figure, etc.) of this application, unless clearly specified to the contrary, there is no requirement for the inclusion in any claim of the application of any particular described or illustrated activity or element, any particular sequence of such activities, or any particular interrelationship of such elements. Moreover, any activity can be repeated, any activity can be performed by multiple entities, and/or any element can be duplicated. Further, any activity or element can ^"be excluded, the sequence of activities can vary, and/or the intenelationship of elements can vary. Accordingly, the descriptions and drawings are to be regarded as illustrative in nature, and not as restrictive. Moreover, when any number or range is described herein, unless clearly stated otherwise, that number or range is approximate. When any range is described herein, unless clearly stated otherwise, that range includes all values therein and all subranges therein. Any information in any material (e.g., a United States patent, United States patent application, book, article, etc.) that has been incorporated by reference herein, is only incorporated by reference to the extent that no conflict exists between such information and the other statements and drawings set forth herein. In the event of such conflict, including a conflict that would render a claim invalid, then any such conflicting information in such incorporated by reference material is specifically not incorporated by reference herein.

Claims

What is claimed is:

1. A method comprising a plurality of activities, said activities comprising: providing a first set of instractions to an information device, the first set of instructions adapted to render a first user interface adapted to accept a request from a user for information regarding at least two user-selected sensors and a user-selected historical time period, the at least two user-selected sensors associated with a mining track, the request from the user adapted to create a Boolean expression adapted to query a database to obtain the information regarding the at least two user-selected sensors and the user- selected historical time period; and providing a second set of instractions to the information device, the second set of instractions adapted to render a second user interface comprising a display of the information regarding the at least two user-selected sensors and the user-selected historical time period, the second user interface comprising a representation of at least part of a panel viewable by an operator of the mining track, the panel comprising the information regarding the at least two user-selected sensors.

2. The method of claim 1 , wherein the second user interface is updated in approximately real-time relative to detection of information regarding the at least two user-selected sensors.

3. The method of claim 1, further comprising: providing a third set of instractions to the information device, the third set of instructions adapted to render a status of the mining truck, the status associated with information from the at least two user-selected sensors.

4. The method of claim 1 , further comprising: providing a third set of instractions to the information device, the third set of instructions adapted to render a representation of an action of an operator of the mining truck, the action of the operator related to the at least two user-selected sensors.

5. The method of claim 1, further comprising: providing a third set of instractions to the information device, the third set of instructions adapted to render a machine alert, the machine alert responsive to information associated with at least one of the at least two user- selected sensors exceeding a predetermined threshold.

6. The method of claim 1, further comprising: exporting chronological information from the at least two user-selected sensors to a spreadsheet.

7. The method of claim 1, further comprising: providing a third set of instructions to the information device, the third set of instractions adapted to render truck load distribution information associated with the mining truck, the truck load distribution information related to at least one of the at least two user-selected sensors.

8. The method of claim 1, further comprising: providing a third set of instractions to the information device, the third set of instractions adapted to render a chart of data from a first sensor of the at least two user-selected sensors relative to data from a second sensor of the at least two user-selected sensors.

9. The method of claim 1 , further comprising: providing a third set of instractions to the information device, the third set of instructions adapted to render a chart indicating torque relative to motor speed of the mining truck.

10. The method of claim 1, further comprising: providing a third set of instractions to the information device, the third set of instructions adapted to render a chronology cycle breakout.

11. The method of claim 1 , further comprising: providing a third set of instructions to the information device, the third set of instructions adapted to render a chronological log comprising data from the at least two user-selected sensors.

12. The method of claim 1, further comprising: providing a third set of instractions to the information device, the third set of instructions adapted to render a cycle distribution diagram comprising data from the at least two user-selected sensors.

13. The method of claim 1 , further comprising: providing a third set of instractions to the information device, the third set of instructions adapted to render a chart of information from at least one of the at least two user-selected sensors as relative to time.

14. The method of claim 1, further comprising: automatically identifying a relationship between data from a first sensor of the at least two user-selected sensors and data from a second sensor of the at least two user-selected sensors.

15. The method of claim 1 , further comprising: providing a third set of instractions to the information device, the third set of instractions adapted to render a representation of a physical location of the mining truck.

16. The method of claim 1, further comprising: providing a third set of instractions to the information device, the third set of instructions adapted to render a representation of a physical path traversed by the mining truck.

17. The method of claim 1, wherein the second user interface comprises a chart of the at least two user-selected sensors as relative to time.

18. The method of claim 1, wherein information from the at least two user- selected sensors is transmitted wirelessly.

19. A method comprising a plurality of activities, said activities comprising: providing a first set of instructions to an information device, the first set of instractions adapted to render a first user interface adapted to accept a request from a user for information regarding at least two user-selected sensors and a user-selected historical time period, the at least two user-selected sensors associated with a mining track, the request from the user adapted to create a Boolean expression adapted to query a database to obtain the information regarding the at least two user-selected sensors and the user- selected historical time period; and providing a second set of instractions to the information device, the second set of instructions adapted to render a second user interface comprising a display of the information regarding the at least two user-selected sensors and the user-selected historical time period, the second user interface comprising a chart of the information from the at least two sensors as a function of time.

20. A machine-readable medium comprising stored instructions for: providing a first set of instractions to an information device, the first set of instractions adapted to render a first user interface adapted to accept a request from a user for information regarding at least two user-selected sensors and a user-selected historical time period, the at least two user-selected sensors associated with a mining truck, the request from the user adapted to create a Boolean expression adapted to query a database to obtain the information regarding the at least two user-selected sensors and the user- selected historical time period; and providing a second set of instractions to the information device, the second set of instructions adapted to render a second user interface comprising a display of the information regarding the at least two user-selected sensors and the user-selected historical time period, the second user interface comprising a representation of at least part of a panel viewable by an operator of the mining truck, the panel comprising the information regarding the at least two user-selected sensors.