CN101556168A - Equipment operating data monitoring device - Google Patents
Equipment operating data monitoring device Download PDFInfo
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- CN101556168A CN101556168A CNA2008101258975A CN200810125897A CN101556168A CN 101556168 A CN101556168 A CN 101556168A CN A2008101258975 A CNA2008101258975 A CN A2008101258975A CN 200810125897 A CN200810125897 A CN 200810125897A CN 101556168 A CN101556168 A CN 101556168A
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Abstract
The invention provides an equipment operating data monitoring device for an unskilled equipment operator to perform high-accuracy monitoring on equipment fault. The latest values of data acquired from each sensor in power equipment are temporarily stored and accessed, and then stored in an equipment historical data sheet A5. On the other hand, a monitoring point for monitoring equipment fault is recorded in response to a request of the operator. The monitoring point is taken as a key word so as to select and record main variable points of close relativity from the equipment historical data sheet. A statistical upper/lower limit function is determined on the basis of sequence equipment data of the monitoring point and the main variable points. The latest values from the equipment data sheet A3 are periodically compared with limit values by reference to information in a table in which the limit functions are stored. If the latest values are out of a limit range, bias information is stored in a definitive result table A13. If a new equipment fault occurs, a fault signal and the content of the definitive result table are output and displayed.
Description
Technical field
The present invention relates to a kind of by the equipment operating data monitoring device of watch-dog data with detection failure.
Background technology
For detecting the equipment failure in the generating set (power plant), specify in advance a monitored point (sensor values) and by more specific fixing on/smallest limit and up-to-date device data to be judging whether surpassing this limit, thereby determine whether to exist equipment failure (referring to the open No.05-120582 of Japanese Patent Laid).In addition, disclose a kind of like this technology, wherein utilized mean value, the standard deviation of the historical device data in the control point to wait and calculate this limit, thus the accuracy (referring to Japanese patent application No.2004-346716) that improves the checkout equipment fault.
But, according to above-mentioned prior art, when equipment running status (startup, application of load, termination etc.) changes, although be at normal operating condition, the value at place, control point may surpass this be used for the checkout equipment fault/smallest limit, thereby the operator may obtain false alarm.
Therefore, have such problem, the experienced operators that promptly needs technology to be proficient in is determined on the best/smallest limit, perhaps needs spended time and effort, for example need to repeat many times the testing of equipment operation and the operation of change ultimate value.
Summary of the invention
Consider the problems referred to above, make the present invention, and the purpose of this invention is to provide and do not need the skilled operators can be with the equipment operating data monitoring device of pin-point accuracy monitoring equipment fault.
For achieving the above object, the invention provides a kind of equipment operating data monitoring device, comprising:
Be used for from being installed in the device data input media that each sensor on the power-equipment obtains device data;
Be used for storing the device data last look table of the last look of described device data temporarily;
Be used for fetching described last look and the device data history lists, storing the device data pen recorder of long-term sequence equipment data from described device data last look table;
The person's that is used for the operation response request and write down one or more control point editing devices that are used to monitor the control point of described power-equipment fault;
Be used to store control point record sheet by the result of described control point editing device record;
Be used for selecting one or more data dependences to determine device as key word from described device data history lists with main running point of strong correlativity with described control point;
Be used to write down the main running point record sheet of determining the main running point that device is selected by described data dependence;
Be used for based on the sequence equipment data of described main running point and described control point determine described device data history lists statistics/limit calculation element of low extreme value function;
Be used to store the ultimate value function table of the ultimate value function of determining by described ultimate value calculation element;
With reference to the form data in the described ultimate value function table and periodically determine device with the ultimate value of the content match of described device data last look table; And if this last look outside the scope of this ultimate value, is determining to store deviation information in the table as a result;
Be used for when new equipment failure occurring, exporting the equipment failure monitoring/output unit of the content of fault-signal and described definite table as a result; And
Be used to show the display device of the output of described equipment failure monitoring/output unit.
As mentioned above, according to the present invention, the utilization statistical method be used to monitor with automatic selection the device data that is subjected to monitoring of tools variable quantity the control point and have strong correlativity with this control point and be suitable for the main running point of monitoring equipment fault.Under the monitoring of tools condition in conjunction with these control points.Therefore, the present invention can provide a kind of skilled operators that do not need can be with the supervising device of pin-point accuracy monitoring equipment fault.
Description of drawings
Fig. 1 shows the structure according to the embodiment of the invention 1;
Fig. 2 shows the structure according to the embodiment of the invention 2;
Fig. 3 shows the structure according to the embodiment of the invention 3;
Fig. 4 shows the structure according to the embodiment of the invention 4;
Fig. 5 shows the structure according to the embodiment of the invention 6;
Fig. 6 shows the structure according to the embodiment of the invention 8;
Fig. 7 shows the structure according to the embodiment of the invention 10;
Fig. 8 shows the structure according to the embodiment of the invention 11;
Fig. 9 shows the structure according to the embodiment of the invention 13;
Figure 10 is the key diagram that illustrates according to the example of the DATA DISTRIBUTION with strong correlativity in the embodiments of the invention 1;
Figure 11 is the key diagram that illustrates according to the structure example of the device data last look table in the embodiments of the invention 1;
Figure 12 is the key diagram that illustrates according to a structure example of the device history data table in the embodiments of the invention 1;
Figure 13 is the key diagram that illustrates according to the structure example of the control point record sheet in the embodiments of the invention 1;
Figure 14 is the key diagram that illustrates according to the structure example of the main running point record sheet in the embodiments of the invention 1;
Figure 15 is the key diagram that illustrates according to the structure example of the ultimate value function table in the embodiments of the invention 1;
Figure 16 is the key diagram that illustrates according to the structure example of the definite table as a result in the embodiments of the invention 1;
Figure 17 is the key diagram that illustrates according to the example of the DATA DISTRIBUTION with trend of assembling in the specific region in the embodiments of the invention 2;
Figure 18 is the key diagram that illustrates according to the example of the conversion function between distributed data counting and ultimate value weight factor in the embodiments of the invention 2;
Figure 19 be illustrate according in the embodiments of the invention 2 pass through weight factor and to last/optimized key diagram of smallest limit scope;
Figure 20 is the key diagram that illustrates according to the example of the equipment stable condition in the embodiments of the invention 3;
Figure 21 is the key diagram that illustrates according to the example of passing through a plurality of groups and be provided with in the embodiments of the invention 4/low extreme value;
Figure 22 is the key diagram that illustrates according to the structure example of the ultimate value function table in the embodiments of the invention 5 (with one group of division condition);
Figure 23 be illustrate according in the embodiments of the invention 6 about the structure example of a plurality of equipment states of control point and the key diagram of ultimate value function table;
Figure 24 is the key diagram corresponding to the structure example of the ultimate value function table of a plurality of control points that illustrates according in the embodiments of the invention 9;
Figure 25 be illustrate according on will add up in the embodiments of the invention 11/smallest limit and historical data be plotted in the key diagram of the example on the same chart; And
Figure 26 be illustrate according in the embodiments of the invention 13 with on the statistics in a plurality of equipment states/low extreme value is plotted in the key diagram of the example on the same chart.
Embodiment
Below, each embodiment according to equipment operating data monitoring device of the present invention is described in detail with reference to accompanying drawing.
(embodiment 1)
Structure according to embodiments of the invention 1 is described with reference to Fig. 1; And the data structure relevant with embodiment 1 is described with reference to Figure 10 to 16.
(structure)
Fig. 1 illustrates supervising device, and it is used for determining whether the last look of the different conditions amount of generator when comparing with the historical data scope is suitable.
This watch-dog is provided with device data input media A2, and it periodically obtains device data in each sensor from be installed in generator A1.From this device data input media A2 with temporal information and the instantaneous value write device data last look Table A 3 (Figure 11).
In addition, device data pen recorder A4 periodically reads the content of this device data last look Table A 3 and with in the long-term sequence equipment data write device historical data Table A 5 (Figure 12).
Control point editing device A7 one or more equipment failures control point that the recording operation person determines in control point record sheet A8 (Figure 13) by the display device A15 that is provided with display, mouse and keyboard.
Therefore, as shown in figure 10, data dependence determines that device A6 is by the sequence equipment data in the reference device historical data Table A 5, use a statistics process with the control point that write down the main running point of strong correlativity (1.0≤correlation factor R＜0.9) to be arranged, then the main running point that is extracted is stored among the main running point record sheet A9 (Figure 14) as main running point so that automatic extraction is one or more.
Ultimate value calculation element A10 reads the historical device data about control point and main running point by with reference to this main running point record sheet A9 from this device history data Table A 5.Ultimate value calculation element A10 calculates a function (y=aX as this main running point then
2+ bX+c) this control point statistics on/smallest limit and being stored among the ultimate value function table A11 (Figure 15)
Ultimate value determine device A12 periodically from this device data last look Table A 3, read the last look data in main running point and the control point and determine this last look whether be arranged in the statistics that is stored in this ultimate value function table A11 on/scope of lower limit function.
If last look surpass should on/the smallest limit scope, ultimate value determines that device A12 storage in determining Table A 13 as a result surpasses on this/the detecteding value of time of smallest limit scope and this time (Figure 16).Equipment failure monitoring/output unit A14 periodically reads the state that is stored in definite Table A 13 as a result, and when detecting new fault, reports this equipment failure testing result to display device A15.Equipment failure monitoring/output unit A14 responds from the operator's of display device A15 request and exports the content that is stored in definite Table A 13 as a result to display device A15.
(operation)
At first, the operator utilizes display device A15 to write down the failure monitoring point of generator by control point editing device A7.Then, data dependence is determined the main running point that device A6 utilizes the sequence equipment data in the device history data Table A 5 to select to have strong correlativity automatically.
Then, ultimate value calculation element A10 calculate as on the statistics of the control point of the function of main running point/smallest limit and ultimate value determine device A12 relatively this periodic up-to-date device data with the checkout equipment fault.Can monitor dynamic change equipment like this.
(advantage)
As mentioned above, according to embodiment 1, even the operator is not a skilled equipment operation technician, this operator also can at the equipment failure control point set one be suitable for most equipment running status statistics on/smallest limit.Therefore, can under the situation of the technical ability that does not rely on the operator, improve the accuracy of monitoring of tools.
(embodiment 2)
Structure according to embodiments of the invention 2 is described with reference to Fig. 2; And the data processing relevant with embodiment 2 is described with reference to Figure 17 to 19.
(structure)
As shown in Figure 2, embodiment 2 has increased data counts/weight factor transfer function A16 than embodiment 1, ultimate value calculation element A10 use this function come counting statistics on/smallest limit.
(operation)
With reference to figure 2, when ultimate value calculation element A10 from historical device data, calculate the control point statistics on/when smallest limit and main running point, data trend towards assembling the output of generator for example shown in Figure 17 near the minimum power output at a specific main running point place and rated power output place or its.Therefore, this statistics on/smallest limit comprises smoothing error (smoothing error) in the low volume data zone.
As shown in figure 19, main running point is divided into a plurality of groups, calculates the number of data point in a group scope.Then, utilize data counts/weight factor transfer function A16 to calculate to be used for from the tropic and determine/weight factor (Figure 18) of smallest limit scope.
(advantage)
As mentioned above, according to embodiment 2, when on the statistics of having calculated main running point and control point/during smallest limit, calculate by carry out the limit based on the DATA DISTRIBUTION density in the unit of divide of each group, can obtain on the best as shown in figure 19/the smallest limit scope, thereby improve the accuracy of equipment failure monitoring.
(embodiment 3)
Structure according to embodiments of the invention 3 is described with reference to Fig. 3; And its operation is described with reference to Figure 20.
(structure)
As shown in Figure 3, increased equipment stable condition editing device A17 according to embodiments of the invention 3 than embodiment 1 and 2, it is used for by display device A15 and is used for the equipment stable condition Table A 18 of storage condition and the equipment stable condition is edited, described equipment stable condition indication at least in special time period device value be in the particular range.
(operation)
According to embodiment 3 as shown in Figure 3, when the operator be provided with on the display device A15 equipment stable condition (its indication at least in special time period device value be to be in the particular range) time (Figure 20), equipment stable condition editing device A17 stores this condition in equipment stable condition Table A 18.
Ultimate value calculation element A10 extracts the historical data satisfy this condition, and based on the data computation statistics of less variation/smallest limit.And only ultimate value determines that device A12 is just with reference to this condition and carry out monitor check when satisfying this condition.
(advantage)
As mentioned above, according to embodiment 3, by preventing because the delta data alarm that makes a mistake, can improve the statistics of calculating main running point and control point on/accuracy of smallest limit and actuating equipment monitoring.
(embodiment 4)
Structure according to embodiments of the invention 4 is described with reference to Fig. 4; And data processing is described with reference to Figure 21.
(structure)
As shown in Figure 4, embodiments of the invention 4 have increased definite condition editing device A19 of group and the definite condition Table A 20 of group.In other words, as shown in figure 21, if the correlativity that the DATA DISTRIBUTION among the embodiment 1 to 3 demonstrates between control point and the main running point is divided into two or more groups (data set), then the operator can determine condition editing device A19 and the definite condition Table A 20 executive editors operation of group by display device A15 utilization group.
(operation)
As shown in figure 21, historical data shows: the DATA DISTRIBUTION that demonstrates the correlativity between control point and the main running point is divided into two or more groups, group determine condition editing device A19 from ultimate value function table A11, read a plurality of statistics of calculating according to the control point on/low extreme value (※ 1 among Fig. 4), and on display device A15, show them.
When the operator be provided with a condition with distinguish a plurality of statistics on/low extreme value (for example, when selection organizes 1 when environment temperature is equal to or higher than 10 ℃, and when environment temperature is lower than 10 ℃ selection group 2) time, the condition of setting is stored in group and determines in the condition Table A 20.
In monitor check periodically, ultimate value determine device A12 condition and up-to-date device data value coupling with the statistics that satisfies condition that obtains being used to check/low extreme value.Therefore, according to embodiment 4, if the Two dimensional Distribution of control point and main running point is merged into a group, then add up/the smallest limit scope can comprise very mistake.
(advantage)
According to embodiment 4, distribution is divided into a plurality of groups, wherein each group all has different distributions, and this depends on the equipment operation condition, and the condition that brings Selection In in each group.Allow like this according to equipment running status select only statistics on/low extreme value, thereby the accuracy that improves watch-dog.
(embodiment 5)
(structure)
Below, to being described according to embodiments of the invention 5.It should be noted that and therefore omit explanation this part because except that the structure of ultimate value function table A11, embodiment 5 is identical with the structure of embodiment 3.
(operation)
The data processing of embodiment 5 is described with reference to Figure 22.Described in embodiment 4, if the DATA DISTRIBUTION of correlativity is divided into two or more groups (data sets) between expression control point and the main running point, ultimate value calculation element A10 replaces the operator to utilize the historical data in the device history data Table A 5 to come application data method for digging etc.Then, on a plurality of statistics/automatically extract only condition the low extreme value, and it is deposited among the ultimate value function table A11-2 (Figure 22).
(advantage)
Therefore, according to embodiment 5, further according to embodiment 4, the optimal set alternative condition is based on the trend of historical data and automatically calculates, and does not need operator's decision.This can not only reduce operator's burden, also can according to equipment state select accurate statistics on/low extreme value, and the accuracy that improves monitoring of tools.
(embodiment 6)
Be described with reference to Fig. 5 according to embodiments of the invention 6; And handle with reference to Figure 23 data of description.
(structure)
As shown in Figure 5, compare with embodiment 1, increased among the embodiment 6: the operator is provided with the equipment state editing device A21 of a plurality of equipment states by display device A15; The device status table A22 (1) that has stored each set equipment state is to (n); And corresponding to the main running point record sheet A9 (1) of each in (n) of a plurality of equipment states and ultimate value function table A11 (1) to (n).
(operation)
When the display device A15 of operator by as shown in Figure 5 is provided with a plurality of equipment states (1) to (n) to being stored in a control point among the control point record sheet A8, equipment state editing device A21 will be provided with device status table A22 (1) in the unit that condition stores equipment state into to (n).
Data dependence determines that device A6 automatically extracts the main running point of the strong correlativity of control point tool in one or more and this equipment state, and they are stored in the main running point record sheet A9 (1) of each equipment state in (n).
As shown in figure 23, ultimate value calculation element A10 arrives (n) with reference to main running point record sheet A9 (1) to (n) and device status table A22 (1), thereby based on the statistics of each equipment state being calculated the control point as the historical data of a plurality of functions of main running point/low extreme value, and with they at ultimate value function table A11 (1) in (n).
Ultimate value is determined the periodically last look of checkout facility state and device status table A22 (1) device data in (n) of device A12.When having set up when status data is set, ultimate value determine device A12 read the ultimate value function table A11 relevant with equipment state and by on the statistics/smallest limit carries out monitoring.
(advantage)
As mentioned above, according to embodiment 6, when the operator has specified several significant equipment states, then according to equipment state extract automatically corresponding to the suitable main running point of control point with on the counting statistics/low extreme value, thereby make monitoring of tools more be adapted to the change of equipment operation.
(embodiment 7)
(structure)
Below, to being described according to embodiments of the invention 7.It should be noted that and therefore omit explanation this part because embodiment 7 is identical with the structure of embodiment 6.
(operation)
With reference to Fig. 5, data dependence determines that device A6 is under being stored in device status table A22 (1) each condition in (n), automatically extract a plurality of main running point and control point with strong correlativity, and further running priority power is determined, even so that each main running point is identical under a plurality of equipment states, then counting statistics on/smallest limit.
For example, Figure 23 has shown three equipment states and corresponding main running point, and is as follows:
Equipment state (1) ... main running point R
Equipment state (2) ... main running point S
Equipment state (3) ... main running point R
If it is as implied above, automatically extracted the different main running point under an equipment state with strong correlativity, then the main running point S under equipment state (2) is substituted by main running point R, makes main running point identical under each equipment state, then counting statistics on/smallest limit.
(advantage)
As mentioned above, according to embodiment 7, from having the main running point of strong correlativity, a plurality of and control point choose the identical main running point in a plurality of equipment states.Though the quantity of the main running point that will select trends towards arriving greatly maximum quantity n, can use main running point, thereby help the trend of watch-dog with right of priority.
(embodiment 8)
(structure)
With reference to Fig. 6, embodiments of the invention 8 are described.As shown in Figure 6, increase main running point editing device A23 newly, make the operator in main running point record sheet A9 (1) to (n), main running point to be set by display device A15 corresponding to a plurality of equipment states.
(operation)
As shown in Figure 6, main running point editing device A23 can be used in the main running point record sheet A9 (1) to (n) corresponding to a plurality of equipment states main running point is set by display device A15.
(advantage)
As mentioned above, according to embodiment 8, can main running point manually be set to the control point.The combination that the operator can be provided with control point and main running point wittingly be used for calculating monitoring of tools statistics/smallest limit.
(embodiment 9)
(structure)
Below, to being described according to embodiments of the invention 9.It should be noted that and therefore omit explanation this part because embodiment 9 is identical with the structure of embodiment 6.
(operation)
Processing is described to data with reference to Figure 24.Can be at control point record sheet A8 with corresponding to the main running point record sheet A9 (1) of a plurality of equipment states among Fig. 6 a plurality of control points of record in (n).Data dependence determines that device A6 is the main running point that each equipment state in the unit of control point selects at least one to have strong correlativity, and stores this main running point at main running point record sheet A9 (1) in (n).As shown in figure 24, ultimate value calculation element A10 calculate about on the statistics of a plurality of control points in the unit of monitor state/low extreme value, and in (n), store this ultimate value at ultimate value function table A11 (1).
(advantage)
As mentioned above,, can write down a plurality of control points, and therefore, can monitor simultaneously at a plurality of locational device senses devices according to embodiment 9, thus the sensitivity that has improved polygon monitoring of tools (multilateral plant monitoring).
(embodiment 10)
(structure)
With reference to Fig. 7 embodiments of the invention 10 are described.As shown in Figure 7, increased newly and can the control point condition editing device A24 of appointed condition and the control point condition Table A 25 of memory device condition independently be set each control point.
(operation)
With reference to Fig. 7, control point condition editing device A24 reads the information (※ 1 among Fig. 7) that control point editing device A7 is stored in a plurality of control points among the control point record sheet A8.When the operator was provided with a separate equipment condition in order to improve monitoring sensitivity for each control point, set appointed condition was stored in the control point condition Table A 25.
Ultimate value calculation element A10 with appointed condition be used for by in the historical data of an autonomous device condition and range and to each control point calculate about the statistics of main running point/smallest limit.If set up this condition, then ultimate value determines that device A12 carries out monitor check.
In other words, need under an autonomous device condition, only use device data actuating equipment monitoring, and this appointed condition depends on the difference of this control point and difference by a control point.
(advantage)
As mentioned above, according to embodiment 10, can one autonomous device condition be set to each control point.Therefore, the operational outfit monitoring is possible under by the condition of operator's appointment.And also can remove what depend on conditions and data during the test operation may be the obliterated data of exceptional value of statistics.Correspondingly, also may improve statistics on/accuracy of smallest limit and suppress unnecessary false alarm.
(embodiment 11)
With reference to Fig. 8 to being described according to embodiments of the invention 11; And with reference to Figure 25 data are handled and to be described.
(structure)
With reference to Fig. 8, increased ultimate value coalignment A26 newly, its from ultimate value function table A11, read the statistics calculated by ultimate value calculation element A10 on/low extreme value; Based on the device data that is extracted in the computing interval use in the condition slave unit historical data Table A 5 among control point condition Table A 25 and the device status table A22; On same chart, carry out overlapping video data (overlay display data); And show/data counts and the outer abnormal data counting of last/smallest limit in the smallest limit.It should be noted that ※ 1, the ※ 2 and the ※ 3 that have shown identical numeral among Fig. 8 interconnect.
(operation)
In Fig. 8, ultimate value coalignment A26 is based on the condition that is stored among control point condition Table A 25 and the device status table A22, from ultimate value function table A11, read the main running point that calculates by ultimate value calculation element A10 and control point statistics on/low extreme value; And based on the device data that reads in the computing interval extraction in the further slave unit historical data of the identical condition Table A 5; And showing on the identical chart/low extreme value and device data by display device A15.At this moment, ultimate value coalignment A26 calculate and show/device data counting in the smallest limit and on/data counts (Figure 25) outside the smallest limit.
It should be noted that the chart display screen have when on the counting statistics/be used to show the device of historical data retrieving during smallest limit, and have the device that is used to call about the independent condition of the equipment state of control point and each control point.And the chart display screen also has the device that is used for improving by the chart color that changes the data outside relevant being positioned at/smallest limit visibility.
(advantage)
As mentioned above, according to embodiment 11, on same chart, show simultaneously based on specified conditions and the data that are used to calculate and by statistical treatment calculate/low extreme value, and be presented at/device data counting within the smallest limit and on/data counts outside the smallest limit.Therefore, can guarantee in quantity the statistics calculated on/accuracy of smallest limit.
(embodiment 12)
(structure)
Below, embodiments of the invention 12 are described.It should be noted that and therefore omit explanation this part because embodiment 12 is identical with the structure of embodiment 11.
(operation)
As the above description of embodiment 11 being carried out with reference to Fig. 8, ultimate value coalignment A26 on same chart, show the statistics that is stored among the ultimate value function table A11 on/low extreme value and the device data that extracts in last/smallest limit computing interval.
On the statistics of display monitoring point on the chart screen/lower limit function (factor).The operator manually changes the factor in the function expression by display device A15, thus reset statistics that the operator sees fit on/low extreme value.
(advantage)
As mentioned above, according to embodiment 12, calculate automatically based on historical data the control point statistics on/low extreme value.If can not get suitable historical data, then the operator changes the factor in the function expression, then when monitor check the result be reflected in statistics on/low extreme value on.In other words, when monitoring of tools, be easy to edit statistics on/low extreme value.
(embodiment 13)
With reference to Fig. 9 to being described according to embodiments of the invention 13; And with reference to Figure 26 data are handled and to be described.
(structure)
Equipment state editing device A21 among Fig. 9 can be provided with a plurality of equipment states (1) to (n).Embodiment 11 has a plurality of device status table A22 (1) that are used for each equipment state and arrives (n), and a plurality of main running point record sheet A9 (1) arrive (n) to (n) and a plurality of ultimate value function table A11 (1).It should be noted that the reference number ※ 1 to ※ 3 that shows identical reference number among Fig. 9 interconnects.
(operation)
With reference to Fig. 9, ultimate value coalignment A26 be read as about on each and the statistics of storing in a plurality of equipment states of control point/low extreme value and the device data that is used to calculate; And on same chart, show overlapped data (Figure 26) by changing color and marker character (marker).If depend on equipment state and overlapping demonstration a plurality of on/low extreme value and device data, the numerical value of the side information in the indicator gauge diagrammatic sketch table that then is not shifted overlappingly.
(advantage)
As mentioned above, according to embodiment 13, in same chart, can show control point in a plurality of equipment states and the statistics between the main running point on/low extreme value and the device data that is used to calculate; Can provide as identifying informations such as color and marker characters; And the DATA DISTRIBUTION in the monitoring of tools zone that can confirm to change according to equipment state.
(embodiment 14)
(structure)
Below, embodiments of the invention 14 are described.It should be noted that and therefore omit explanation this part because embodiment 14 is identical with the structure of embodiment 13.
(operation)
With reference to Fig. 9, when ultimate value coalignment A26 on same chart, be presented at control point in a plurality of equipment states statistics on/when low extreme value and the device data that is used to calculate, on the chart display screen, can select to show or do not show the chart of each equipment state.
(advantage)
As mentioned above, according to embodiment 14, provide the statistics that do not show each equipment state on/device of the chart of low extreme value and the device data that is used to calculate, therefore can only show the chart in the equipment state that will pay close attention to.
Claims (14)
1, a kind of equipment operating data monitoring device comprises:
Be used for from being installed in the device data input media that each sensor on the power-equipment obtains device data;
Be used for storing the device data last look table of the last look of described device data temporarily;
Be used for fetching described last look and the device data history lists, storing the device data pen recorder of long-term sequence equipment data from described device data last look table;
The person's that is used for the operation response request and write down one or more control point editing devices that are used to monitor the control point of described power-equipment fault;
Be used to store control point record sheet by the result of described control point editing device record;
Be used for selecting one or more data dependences to determine device as key word from described device data history lists with main running point of strong correlativity with described control point;
Be used to write down the main running point record sheet of determining the main running point that device is selected by described data dependence;
Be used for based on the sequence equipment data of described main running point and described control point determine described device data history lists statistics/limit calculation element of low extreme value function;
Be used to store the ultimate value function table of the ultimate value function of determining by described ultimate value calculation element;
With reference to the form data in the described ultimate value function table and periodically determine device with the ultimate value of the content match of described device data last look table; And if this last look outside the scope of this ultimate value, is determining to store deviation information in the table as a result;
Be used for when new equipment failure occurring, exporting the equipment failure monitoring/output unit of the content of fault-signal and described definite table as a result; And
Be used to show the display device of the output of described equipment failure monitoring/output unit.
2, equipment operating data monitoring device according to claim 1, further comprise data counts/weight factor transfer function, wherein, when utilize control point and main running point counting statistics by described ultimate value calculation element on/during low extreme value, carry out the limit by the DATA DISTRIBUTION density in the unit of each group that consideration divides and calculate and obtain on the best/the smallest limit scope.
3, equipment operating data monitoring device according to claim 1 wherein, provides from the outside to show that equipment is condition such as stable; When utilize control point and main running point counting statistics on/during low extreme value, extract historical data based on described condition and change less ultimate value to calculate; And this ultimate value is used to carry out monitor check.
4, equipment operating data monitoring device according to claim 1, wherein, as the result of statistical treatment,, then provide the condition of distinguishing these groups from the outside if the distribution in the correlativity between described control point and the described main running point is divided into two or more groups.
5, equipment operating data monitoring device according to claim 4 wherein, as being used to distinguish a plurality of groups condition, is used to distinguish some groups only appointed condition thereby historical data application data method for digging extracted automatically.
6, equipment operating data monitoring device according to claim 1 wherein, is determined a plurality of equipment states; Automatically calculate the one or more main running point that has strong correlativity in each equipment state with described control point; On the described statistics of described control point/low extreme value is made as a plurality of functions of described main running point; In order to monitor, check whether this function is in determined equipment state; And with on this adaptation function/low extreme value be used for the monitoring.
7, equipment operating data monitoring device according to claim 6, wherein, the execution priority statistic processes also can be reduced to same point with described main running point even make in a plurality of equipment states.
8, equipment operating data monitoring device according to claim 6 wherein, provides described main running point from the outside, with calculate described statistics in a plurality of equipment states on/low extreme value.
9, equipment operating data monitoring device according to claim 6, wherein, calculate a plurality of described control points in each of described a plurality of equipment states described statistics on/low extreme value.
10, equipment operating data monitoring device according to claim 9, wherein, when determining that for a plurality of described control points the conventional equipment state is monitored to carry out, for each described control point provides the separate equipment condition; And calculate described statistics on/low extreme value to be to carry out monitoring.
11, equipment operating data monitoring device according to claim 10, wherein, on the statistics that is calculated that shows described control point on the same chart/low extreme value and the described device data that is used to calculate; Simultaneously, show data counts and the exceptional value counting that mates with last/smallest limit; And to the value that calculated carry out really with.
12, equipment operating data monitoring device according to claim 11, wherein, show the expression statistics on/function expression of low extreme value or its factor; This factor of manual modification; And on graphic display, determine this amended factor.
13, equipment operating data monitoring device according to claim 12, wherein, by change color and the marker character shape can show in a plurality of conventional equipment states on same chart and the described statistics under the separate equipment condition on/low extreme value and the described device data that is used to calculate.
14, equipment operating data monitoring device according to claim 13 further comprises can not showing the device of the information in a certain state as required when a plurality of state of overlapping demonstration.
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| CN2008101258975A CN101556168B (en) | 2008-04-11 | 2008-04-11 | Equipment operating data monitoring device |
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| CN2008101258975A CN101556168B (en) | 2008-04-11 | 2008-04-11 | Equipment operating data monitoring device |
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| CN101556168B CN101556168B (en) | 2012-05-09 |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102393882A (en) * | 2011-09-21 | 2012-03-28 | 济中节能技术（苏州）有限公司 | Method for monitoring and diagnosing indoor air quality (IAQ) sensor on line |
| CN109990803A (en) * | 2018-01-02 | 2019-07-09 | 西门子（中国）有限公司 | The method, apparatus of method, apparatus and the sensor processing of detection system exception |
| CN110603548A (en) * | 2017-03-08 | 2019-12-20 | Mts咨询和工程股份有限公司 | System and method for determining failure modes from sensor data during product validation and manufacturing |
Family Cites Families (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| DE19948194C2 (en) * | 1999-10-06 | 2001-11-08 | Aloys Wobben | Process for monitoring wind turbines |
| DE10159432A1 (en) * | 2001-12-04 | 2003-06-26 | Framatome Anp Gmbh | Control system for nuclear power plant, comprises monitoring unit, sensors in reactor core, and comparison unit |
| CN100470416C (en) * | 2006-12-28 | 2009-03-18 | 上海电力学院 | Power plant thermal equipment intelligent state diagnosing and analyzing system |
-
2008
- 2008-04-11 CN CN2008101258975A patent/CN101556168B/en active Active
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102393882A (en) * | 2011-09-21 | 2012-03-28 | 济中节能技术（苏州）有限公司 | Method for monitoring and diagnosing indoor air quality (IAQ) sensor on line |
| CN102393882B (en) * | 2011-09-21 | 2014-11-26 | 济中节能技术（苏州）有限公司 | Method for monitoring and diagnosing indoor air quality (IAQ) sensor on line |
| CN110603548A (en) * | 2017-03-08 | 2019-12-20 | Mts咨询和工程股份有限公司 | System and method for determining failure modes from sensor data during product validation and manufacturing |
| CN110603548B (en) * | 2017-03-08 | 2024-02-09 | Mts咨询和工程股份有限公司 | System and method for determining failure modes from sensor data during product verification and manufacturing |
| CN109990803A (en) * | 2018-01-02 | 2019-07-09 | 西门子（中国）有限公司 | The method, apparatus of method, apparatus and the sensor processing of detection system exception |
| CN109990803B (en) * | 2018-01-02 | 2022-05-24 | 西门子（中国）有限公司 | Method and device for detecting system abnormity and method and device for sensor processing |
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| CN101556168B (en) | 2012-05-09 |
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