WO2001035365A1 - Time constrained sensor data retrieval system and method - Google Patents
Time constrained sensor data retrieval system and method Download PDFInfo
- Publication number
- WO2001035365A1 WO2001035365A1 PCT/US2000/041570 US0041570W WO0135365A1 WO 2001035365 A1 WO2001035365 A1 WO 2001035365A1 US 0041570 W US0041570 W US 0041570W WO 0135365 A1 WO0135365 A1 WO 0135365A1
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- WIPO (PCT)
- Prior art keywords
- parameter
- intervals
- parameter values
- parameter value
- timeframe
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Classifications
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04Q—SELECTING
- H04Q9/00—Arrangements in telecontrol or telemetry systems for selectively calling a substation from a main station, in which substation desired apparatus is selected for applying a control signal thereto or for obtaining measured values therefrom
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B29/00—Checking or monitoring of signalling or alarm systems; Prevention or correction of operating errors, e.g. preventing unauthorised operation
- G08B29/18—Prevention or correction of operating errors
- G08B29/20—Calibration, including self-calibrating arrangements
- G08B29/24—Self-calibration, e.g. compensating for environmental drift or ageing of components
- G08B29/26—Self-calibration, e.g. compensating for environmental drift or ageing of components by updating and storing reference thresholds
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B31/00—Predictive alarm systems characterised by extrapolation or other computation using updated historic data
Definitions
- the present invention generally relates to systems and methods for retrieving data from sensors. More specifically, the invention relates to systems and methods for the selective or time constrained collection of data from sensors.
- Sensors are used in a large variety of systems and for a large variety of purposes, generally, to provide an indication of the current state or value of a given parameter. Accordingly, there are a variety of types of sensors, for sensing different types of parameters. For example, a sensor may sense temperature, pressure, force, voltage or current level, sound level, humidity, position, or movement.
- a sensor is used to detect a state of a multi-state device or may be used to provide a reading of a quantifiable value.
- a sensor for the driver's door may have two states: open and closed.
- the corresponding driver's door sensor may be configured to detect whether the door is open or closed and provide a signal to the alarm system to sound an alarm when the door is opened and the alarm system is enabled.
- a temperature sensor may read the temperature of a device or a fluid and provide a signal to an analog or digital display indicative of the value of the temperature.
- a sensor may also be part of a feedback (or closed-loop) system, wherein the indication provided by the sensor serves as an input to a system that is configured to provide a countervailing response. For example, in an automobile cooling system, if a sensor reads a temperature that is above a maximum threshold, the sensor outputs a parameter value indicative of the temperature (i.e. , parameter) that causes a controller to start a cooling radiator fan. The fan stays on until the sensor outputs a temperature parameter value to the controller that is below the threshold value.
- a feedback or closed-loop
- sensors are part of a larger computer controlled system, wherein sensor outputs serve as inputs to one or more controllers in the computer controlled system.
- the values of such inputs cause certain corresponding outputs of the controllers, to which other components in the system are responsive.
- the sensors may be driven by controller outputs. For example, one or more sensors may be queried periodically by control logic as part of a set of tasks that need to be performed within a given period of time.
- the present invention is a system and method for time constrained retrieval of sensor data from a plurality of sensors.
- a set of sensors is coupled to a device having a variety of variable parameters to be sensed at intervals within a given timeframe.
- Each sensor may be configured to sense one parameter and, therefore, has its own address.
- Sensing a parameter involves a sensor obtaining and providing a corresponding parameter value, which may be done in response to a request issued by a sensor monitor system. When the intervals are relatively short, it is difficult to obtain and provide a parameter value for each parameter of each device, particularly if there are other tasks to be performed within the interval.
- the sensor monitor system may selectively request parameter values from only a subset of the sensors at one or more intervals, in accordance with the present invention.
- a parameter value is obtained for each parameter at least once within the timeframe.
- a current set of parameter values includes the most recently obtained parameter values for, preferably, each parameter, regardless of the interval from which each parameter value was obtained. This current set of parameter values may be made available to an application (or host) system that, in most cases, includes the devices being sensed.
- the sensor monitor system includes a sensor manager that includes logic for requesting parameter values (i.e.
- data from each sensor.
- This logic may be implemented in hardware, software, firmware or some combination thereof and may vary depending on the number and types of devices and corresponding parameters to be sensed.
- a timeframe comprised of a plurality of intervals is defined as a function of the application system's needs to obtain parameter values at the intervals, the timing of those needs, and the physical or systemic limitations to meeting those needs.
- the sensor manager can be thought of as providing a scheduling and management function over the sensors for obtaining parameter values. That is, the sensor manager may issue requests to sensors to return parameter values at certain intervals.
- the sensor manager will be configured to implement logic that returns parameter values within a processing loop dictated to the sensor monitor system by an application (or host) system.
- an application system may require a value for each parameter of each device at an interval that is a fraction of a second.
- the sensor manager efficiently orchestrates the gathering of parameter values from the sensors within the time constraints. If a subset of these parameters are not capable of or likely to significantly change within the interval, the control logic may be implemented to selectively abstain from obtaining parameter values for the entire subset during each interval. For example, if there are thirty devices each having the same three parameters to be sensed, but one of these parameters has a rate of change that is slow relative to the interval, than the sensor manager will be configured to obtain parameter values for only some of those slow changing parameters during each interval. However, preferably, each of those slow changing parameters will be sensed at least once during each timeframe.
- the application system may require a complete current set of parameter values at each interval.
- the sensor monitor system provides a current set of parameter values that includes the latest sensed parameter value of each parameter, even though some of these parameter values may have been obtained in previous intervals. Because only parameter values for slow changing parameters are taken from previous intervals, all parameter values in the current set of parameter values will be accurate within acceptable limits.
- This approach may be used in cases when all of the devices and their parameters are the same, or where there are a variety of devices having different types of parameters to be sensed. In either case, the present invention may distribute the sensing of slow changing parameter values over several intervals.
- the sensor monitor system may include logic that predicts whether certain parameters can be sensed less frequently than every interval or every timeframe. Such predictions may be based on historical parameter value data, wherein the sensor monitor system may be configured to store such historical data. Also, such predictions may be based on a relationship between various system parameters or events. For example, in an automobile, voltage of an electronics battery may be sensed every 100 ms interval when the car is running, but when the car is not running, voltage may be sensed every second, i.e. , under conditions where the rate of change of the battery is slower than during normal operations.
- FIG. 1 is a block diagram of a system implementing a system and method for time constrained retrieval of sensor data from a plurality of sensors, in accordance with the present invention
- FIG. 2 is detailed block diagram of a portion of the system of FIG. 1;
- FIG. 3 is block diagram depicting a top level generic addressing scheme used with the sensors of FIG. 1;
- FIG. 4 is a table depicting the intervals in which the temperature parameters of each of 30 devices is sensed according to a control logic used with the system of FIG. 1;
- FIG. 5 is a table depicting the intervals in which a current set of parameter values is sensed, corresponding to the table of FIG. 4; and FIG. 6 is an alternate embodiment of a system implementing a system and method for time constrained retrieval of sensor data from a plurality of sensors of different types and having different parameters, in accordance with the present invention.
- the present invention is a system and method for time constrained retrieval of sensor data from a plurality of sensors.
- a set of sensors is coupled to a device having a variety of variable parameters to be sensed at intervals within a given timeframe.
- Each sensor may be configured to sense a single parameter.
- Sensing a parameter involves obtaining and providing a corresponding parameter value, which may be done in response to a request issued by a sensor monitor system. When the intervals are relatively short, it is difficult to obtain and provide a parameter value for each parameter of each device, particularly if there are other tasks to be performed within the interval.
- the sensor monitor system may selectively request parameter values from only a subset of the sensors at one or more intervals, in accordance with the present invention.
- a parameter value is obtained for each parameter at least once within the timeframe.
- a current set of parameter values includes the most recently obtained parameter values for, preferably, each parameter, regardless of the interval from which each parameter value was obtained. This current set of parameter values may be made available to an application (or host) system that, in most cases, includes the devices being sensed.
- FIG. 1 shows an illustrative system configuration 100 implementing the present invention.
- a set of 1 to N devices is included, such as devices 101, 103, 105, 107, and 109.
- Each device has a variety of parameters that can be sensed.
- each device is coupled to a corresponding set of sensors adapted to obtain parameter values associated with the parameters of each device. That is, a set of sensors 102 is configured to sense values of parameters of device 1 101, a set of sensors 104 is configured to sense values of parameters of device 2 103, and so on. Sensors 102, 104.
- 106, 108, and 110 are coupled to a sensor monitor system 150, which derives parameter values from the output signals received from the sensors and, in turn, makes the parameter values available to other devices, such as application system 140.
- the sensors may be located at the sensor monitor system 150, particularly in the case of electrical devices, with conductive leads coupling the sensors to the devices.
- a sensor manager 120 generally controls the selective prompting of the sensors to provide parameter values.
- the selective prompting may be accomplished by sensor manager 120 issuing a request for a sensor to send data (i.e., a parameter value) or it may be accomplished by selectively reading a sensor that continually senses the parameter value.
- parameter values are provided when a sensor (e.g.. sensor 102) provides a value signal across transmission path 112 (e.g. , conductive wire, path, or bus) to sensor monitor system 150.
- Sensor monitor system 150 derives the parameter values from the value signals and stores each parameter value in memory, represented as database 130.
- a clock (or timer) 160 may be included to impose a set of time intervals within a timeframe, wherein the sensor manager 120 selectively requests parameter values of at least some of the sensors at about each interval.
- the clock 160 may be provided in a variety of manners known in the art.
- the clock may be provided by application system 140, within sensor monitor system 150, or external to both. If provided by application system 140, a clock signal may be provided over bus 122 to sensor monitor system 150.
- devices 1 through N are 30 battery devices in series, each having a state of charge parameter and a temperature parameter.
- Bus 112 is a standard electronics "PC-bus"
- bus 122 is a standard CAN-bus. both are know in the art.
- the PC- bus is preferably in accordance with the April 1995 specification published by Phillips Semiconductor.
- the battery devices may be 10.8V batteries used in, among other things, automotive applications.
- the state of charge parameter may include a voltage (V) parameter and a current (I) parameter, as is shown. The rate of change of these parameters indicates the state of charge of a corresponding battery.
- the battery When the rate (or slope) is near zero, the battery is, for the most part, fully charged.
- the rate or slope
- the battery With a relatively large number of devices and parameters, such as 30 batteries with three parameters each, it can be difficult to sense each parameter value within a relatively short interval, e.g., under 1 second.
- the interval is often dictated by the processing loop of the application system 140.
- an automotive system requires these ninety (i.e. , 30 x 3) battery parameter values within a 100 milliseconds (ms) interval (or processing loop).
- each parameter of each battery has its own address. That is. as is shown in FIG. 3, for device 1 101, VI has address 1, II has address 2, Tl has address 3 and for device 2 102, V2 has address 4, 12 has address 5 and T2 has address 6. and so on.
- the application system 140 expects or requires a parameter value for V, I, and T of each battery every 100 ms. Since the voltage and current parameter values can change very quickly relative to the 100 ms interval, it is preferable that these parameters be sensed within each 100 ms interval. It so happens that in the illustrative type of system, parameter values for each voltage and current parameter of each of the 30 batteries can be obtained relatively quickly, i.e., within the 100 ms interval. Although, it may take up to about 50 ms to calculate all I's. leaving insufficient time to determine each T. The temperature parameter values are not quickly obtainable, so it is extremely difficult to obtain and provide parameter values for all 30 temperature parameters, along with all 30 voltage and all 30 current parameters, in a single 100 ms interval.
- each temperature parameter is read once over seven 100 ms intervals, yielding a timeframe of 700 ms, wherein interval 4, for example, relates to the fourth pass through step 5 and is indicated as "14" in table 400.
- interval 4 for example, relates to the fourth pass through step 5 and is indicated as "14" in table 400.
- battery temperatures are typically stable over several seconds, so the battery temperature parameter values could be read less frequently than is shown above, thereby extending the timeframe, possibly to several seconds, within which all temperature parameters must be read at least once.
- the temperature parameters are sensed as frequently as possible.
- the application system 140 expects or requires a parameter value for V, I, and T of each battery every 100 ms, even though each temperature parameter is not read in each 100 ms interval.
- the sensor manager 120 "fools" the application system by storing the last updated version of each parameter value as a current set of parameter values. Because all parameters are not sensed within each interval, the current set of parameter values includes parameter values from previous intervals.
- FIG. 5 is a table 500 demonstrating a representative current set of parameter values for devices 1 through 30 at the conclusion of interval 7, using the algorithm above and table 400 of FIG. 4. As an example, for device #1 , the voltage and current parameter values were obtained in interval 7, while the temperature parameter value was obtained in interval 4.
- the application system is simply looking for parameter values for voltage, current, and temperature parameters of each device, and is unaware of within which intervals these values were obtained. As long as the V, I, and T values in the current set of parameter values are substantially correct, the application system 140 will not experience errors due to stale parameter values. This is ensured by reading each parameter value within a timeframe that is not longer than the time it takes for that parameter to adversely change, as dictated by that parameter's rate of change.
- the control logic may be implemented in a variety of manners, and tradeoffs made between speed and accuracy in obtaining and providing parameter values.
- the sensor monitor system 150 may include a prediction logic to predict at which intervals certain parameters may be sensed.
- database 130 may store historical data used in the predictions. For example, historical data may show that V changes very little over two intervals, so the logic may be adjusted to sense V of the first 15 batteries in every odd interval (e.g., interval 1, interval 3, and so on) and then to sense V of the second 15 batteries in every even interval (e.g., interval 2, interval 4, and so on).
- the prediction logic may be configured to detect relationships between parameters (or other system dynamics). That is, the prediction logic of the sensor monitor system 150 may determine (e.g., based on historical data) that when V and I are substantially constant, T is very slowly changing. In response, the control logic may be automatically adjusted to sense each T once every other timeframe when these other conditions are true, rather than once every time frame as described above.
- the system may include a variety of devices and a variety of sensors under the control of sensor monitor system 150.
- FIG. 6 shows five different sets of sensors, each sensing different parameters of different devices, 601, 603, 605, 607, and 609.
- devices 1 601 and 2 603 may be different types of batteries having V, I and T sensed for each battery
- device 3 605 may be a device having pressure sensed
- device 4 607 may be a container having fluid level and temperature sensed
- device 5 609 may be an integrated circuit (IC) having only temperature sensed, but wherein the rate of change of temperature for the IC may be much greater than that of batteries 1 601 and 2 603 and the fluid in device 4 607.
- IC integrated circuit
- the sensor manager 120 may be configured to sense different parameters at different intervals within a timeframe or within different timeframes .
- the actual logic employed may depend on a number of factors, such as rates of change of the various parameters, threshold device and application system parameters. That is, it may be essential for the system that the fluid level in device 4 never get below 3 quarts, or that the temperature of IC 5 never gets above 100 degrees C.
- the IC temperature parameter may get sensed every other interval, while the V and I of batteries 1 and 2 may get sensed at every interval, while fluid level in device 4 may get sensed only once in each timeframe, and so on.
Abstract
Description
Claims
Priority Applications (5)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
MXPA02002775A MXPA02002775A (en) | 1999-10-28 | 2000-10-25 | Time constrained sensor data retrieval system and method. |
KR1020027005335A KR20020059647A (en) | 1999-10-28 | 2000-10-25 | Time constrained sensor data retrieval system and method |
EP00989706A EP1252613A1 (en) | 1999-10-28 | 2000-10-25 | Time constrained sensor data retrieval system and method |
JP2001537023A JP2003514312A (en) | 1999-10-28 | 2000-10-25 | Time-constrained sensor data collection system and method |
AU26183/01A AU2618301A (en) | 1999-10-28 | 2000-10-25 | Time constrained sensor data retrieval system and method |
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
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US16194699P | 1999-10-28 | 1999-10-28 | |
US60/161,946 | 1999-10-28 |
Publications (1)
Publication Number | Publication Date |
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WO2001035365A1 true WO2001035365A1 (en) | 2001-05-17 |
Family
ID=22583490
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
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PCT/US2000/041570 WO2001035365A1 (en) | 1999-10-28 | 2000-10-25 | Time constrained sensor data retrieval system and method |
Country Status (9)
Country | Link |
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US (1) | US6510403B1 (en) |
EP (1) | EP1252613A1 (en) |
JP (1) | JP2003514312A (en) |
KR (1) | KR20020059647A (en) |
CN (1) | CN1382289A (en) |
AU (1) | AU2618301A (en) |
MX (1) | MXPA02002775A (en) |
TW (1) | TW484116B (en) |
WO (1) | WO2001035365A1 (en) |
Cited By (3)
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US6677745B2 (en) * | 2001-04-27 | 2004-01-13 | Infineon Technologies Ag | Test apparatus for parallel testing a number of electronic components and a method for calibrating the test apparatus |
EP1434185A1 (en) * | 2001-10-04 | 2004-06-30 | Omron Corporation | Sensor management apparatus, sensor management apparatus control program, computer−readable recording medium containing the program, and sensor management apparatus control method |
EP3686832A4 (en) * | 2017-09-19 | 2021-06-16 | Omron Corporation | Mobile sensor management unit, mobile sensor apparatus, matching apparatus, sensing data distribution system, data provision method, and data provision program |
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US20050265388A1 (en) * | 2004-05-12 | 2005-12-01 | Searete Llc, A Limited Liability Corporation Of The State Of Delaware | Aggregating mote-associated log data |
US20060062252A1 (en) * | 2004-06-30 | 2006-03-23 | Jung Edward K | Mote appropriate network power reduction techniques |
US20060079285A1 (en) * | 2004-03-31 | 2006-04-13 | Jung Edward K Y | Transmission of mote-associated index data |
US20060004888A1 (en) * | 2004-05-21 | 2006-01-05 | Searete Llc, A Limited Liability Corporation Of The State Delaware | Using mote-associated logs |
US20050267960A1 (en) * | 2004-05-12 | 2005-12-01 | Searete Llc, A Limited Liability Corporation Of The State Of Delaware | Mote-associated log creation |
US8346846B2 (en) * | 2004-05-12 | 2013-01-01 | The Invention Science Fund I, Llc | Transmission of aggregated mote-associated log data |
US8161097B2 (en) * | 2004-03-31 | 2012-04-17 | The Invention Science Fund I, Llc | Aggregating mote-associated index data |
US7599696B2 (en) * | 2004-06-25 | 2009-10-06 | Searete, Llc | Frequency reuse techniques in mote-appropriate networks |
US8335814B2 (en) * | 2004-03-31 | 2012-12-18 | The Invention Science Fund I, Llc | Transmission of aggregated mote-associated index data |
US7536388B2 (en) * | 2004-03-31 | 2009-05-19 | Searete, Llc | Data storage for distributed sensor networks |
WO2005099233A2 (en) * | 2004-03-31 | 2005-10-20 | Searete Llc | Transmission of mote-associated index data |
US9062992B2 (en) * | 2004-07-27 | 2015-06-23 | TriPlay Inc. | Using mote-associated indexes |
US7389295B2 (en) * | 2004-06-25 | 2008-06-17 | Searete Llc | Using federated mote-associated logs |
US20060064402A1 (en) * | 2004-07-27 | 2006-03-23 | Jung Edward K Y | Using federated mote-associated indexes |
US9261383B2 (en) | 2004-07-30 | 2016-02-16 | Triplay, Inc. | Discovery of occurrence-data |
US7929914B2 (en) * | 2004-03-31 | 2011-04-19 | The Invention Science Fund I, Llc | Mote networks using directional antenna techniques |
US8200744B2 (en) | 2004-03-31 | 2012-06-12 | The Invention Science Fund I, Llc | Mote-associated index creation |
US7941188B2 (en) | 2004-03-31 | 2011-05-10 | The Invention Science Fund I, Llc | Occurrence data detection and storage for generalized sensor networks |
US20050227686A1 (en) * | 2004-03-31 | 2005-10-13 | Jung Edward K Y | Federating mote-associated index data |
US8275824B2 (en) * | 2004-03-31 | 2012-09-25 | The Invention Science Fund I, Llc | Occurrence data detection and storage for mote networks |
US20050256667A1 (en) * | 2004-05-12 | 2005-11-17 | Searete Llc, A Limited Liability Corporation Of The State Of Delaware | Federating mote-associated log data |
US7725080B2 (en) * | 2004-03-31 | 2010-05-25 | The Invention Science Fund I, Llc | Mote networks having directional antennas |
US7457834B2 (en) | 2004-07-30 | 2008-11-25 | Searete, Llc | Aggregation and retrieval of network sensor data |
US7412345B2 (en) * | 2004-05-18 | 2008-08-12 | General Electric Company | System, method, and article of manufacture for obtaining data |
US20060089844A1 (en) * | 2004-10-26 | 2006-04-27 | Aerovironment, Inc., A California Corporation | Dynamic replenisher management |
US7444192B2 (en) * | 2004-10-26 | 2008-10-28 | Aerovironment, Inc. | Reactive replenishable device management |
US7917570B2 (en) * | 2004-12-24 | 2011-03-29 | Panasonic Corporation | Sensor device which measures surrounding conditions and obtains a newly measured value, retrieval device which utilizes a network to search sensor devices, and relay device which relays a communication between the sensor device and the retrieval device |
US7782193B2 (en) * | 2005-10-25 | 2010-08-24 | Cadi Scientific Pte Ltd. | System for measuring and tracking at least one physiological parameter and a measuring device for doing the same |
US7502705B2 (en) * | 2007-05-29 | 2009-03-10 | International Business Machines Corporation | Sensor subset selection for reduced bandwidth and computation requirements |
US11088911B2 (en) * | 2019-07-08 | 2021-08-10 | Trane International Inc. | Probability-based network data updates |
TWI798812B (en) * | 2019-12-31 | 2023-04-11 | 鍾國誠 | Control device and method for controlling illuminating device |
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2000
- 2000-10-25 AU AU26183/01A patent/AU2618301A/en not_active Abandoned
- 2000-10-25 CN CN00814771A patent/CN1382289A/en active Pending
- 2000-10-25 US US09/695,966 patent/US6510403B1/en not_active Expired - Lifetime
- 2000-10-25 KR KR1020027005335A patent/KR20020059647A/en not_active Application Discontinuation
- 2000-10-25 MX MXPA02002775A patent/MXPA02002775A/en unknown
- 2000-10-25 JP JP2001537023A patent/JP2003514312A/en active Pending
- 2000-10-25 WO PCT/US2000/041570 patent/WO2001035365A1/en not_active Application Discontinuation
- 2000-10-25 EP EP00989706A patent/EP1252613A1/en not_active Withdrawn
- 2000-10-27 TW TW089122710A patent/TW484116B/en not_active IP Right Cessation
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US4611197A (en) * | 1985-02-19 | 1986-09-09 | Sansky Michael J | Malfunction-detecting status monitoring system |
Cited By (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US6677745B2 (en) * | 2001-04-27 | 2004-01-13 | Infineon Technologies Ag | Test apparatus for parallel testing a number of electronic components and a method for calibrating the test apparatus |
EP1434185A1 (en) * | 2001-10-04 | 2004-06-30 | Omron Corporation | Sensor management apparatus, sensor management apparatus control program, computer−readable recording medium containing the program, and sensor management apparatus control method |
EP1434185A4 (en) * | 2001-10-04 | 2009-11-04 | Omron Tateisi Electronics Co | Sensor management apparatus, sensor management apparatus control program, computer-readable recording medium containing the program, and sensor management apparatus control method |
EP3686832A4 (en) * | 2017-09-19 | 2021-06-16 | Omron Corporation | Mobile sensor management unit, mobile sensor apparatus, matching apparatus, sensing data distribution system, data provision method, and data provision program |
US11700305B2 (en) | 2017-09-19 | 2023-07-11 | Omron Corporation | Moving sensor management unit, moving sensor apparatus, matching apparatus, sensing data distribution system, data provision method, and data provision program |
Also Published As
Publication number | Publication date |
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US6510403B1 (en) | 2003-01-21 |
EP1252613A1 (en) | 2002-10-30 |
JP2003514312A (en) | 2003-04-15 |
CN1382289A (en) | 2002-11-27 |
MXPA02002775A (en) | 2003-01-28 |
TW484116B (en) | 2002-04-21 |
AU2618301A (en) | 2001-06-06 |
KR20020059647A (en) | 2002-07-13 |
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