CN114278485A - Hydropower station starting temperature warning method and system - Google Patents
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Abstract
The invention discloses a method and a system for alarming the starting temperature of a hydropower station, wherein the method comprises the following steps: constructing a starting temperature change curve sample library; selecting a sample curve from a starting temperature change curve sample library according to the starting condition of the hydropower station generator set; obtaining a real-time temperature change slope and a sample temperature change slope according to the real-time temperature of the hydropower station generator set and a sample curve; judging temperature abnormity according to the real-time temperature change slope and the sample temperature change slope to obtain a first judgment result, and judging whether to alarm the starting temperature according to the continuous N times of judgment results; and when the hydropower station generator set meets the starting-up ending condition, stopping starting-up temperature monitoring and warning. The invention can find the abnormal change of the unit temperature before the starting temperature does not reach the limit temperature which can be endured by the equipment, and carry out temperature alarm, thereby having important function for ensuring the safe and stable operation of the power station.
Description
Technical Field
The invention relates to a method and a system for alarming the starting temperature of a hydropower station, and belongs to the technical field of hydropower station monitoring.
Background
The measurement and monitoring of the temperature of the generating set of the hydroelectric power plant mainly comprises the operation temperature monitoring of the bearing (thrust bearing, guide bearing), the stator core, the winding and the like of the generating set. The operation temperature of the generator set is the most main non-electrical quantity monitoring parameter of the power plant, and is directly related to the safe and stable operation of the generator set and the service life of the generator set. For a long time, the application research of power station temperature measurement mainly focuses on the research of a temperature measuring method and a temperature out-of-limit warning method, and the temperature measuring method is developed from the initial thermal resistance temperature measurement to the subsequent optical fiber temperature measurement; the temperature alarm generally adopts a method of measuring value out-of-limit alarm, and the high limit generally adopts the limit temperature which can be endured by equipment provided by a host manufacturer.
The traditional temperature measuring and alarming method is simple and effective under a steady-state working condition, but in the process of starting up the hydroelectric generating set, in order to be compatible with various running conditions such as starting up, steady state, overspeed and the like, an alarming threshold value must be set to be higher to avoid misoperation, but the higher threshold value is not beneficial to temperature alarming under the steady-state working condition, the temperature is increased from low during the starting up process of the hydroelectric generating set, the traditional limit value alarming cannot identify the rapid temperature climbing trend, in addition, because the temperature hysteresis effect is serious and the temperature change inertia is large, the temperature still continues to rise after the shutdown operation is triggered by the traditional limit value method when the alarming temperature is reached, the temperature possibly far exceeds the rated maximum temperature of equipment, and certain influence is caused on the service life of the equipment.
Disclosure of Invention
In order to solve the problem that a temperature measuring and alarming method in the prior art is not suitable for the starting temperature of a hydroelectric generating set, the invention provides a method and a system for alarming the starting temperature of a hydroelectric generating set.
In order to solve the technical problems, the invention adopts the following technical means:
in a first aspect, the invention provides a method for alarming the starting temperature of a hydropower station, which comprises the following steps:
selecting a sample curve from a pre-constructed starting temperature change curve sample library according to the starting condition of the hydropower station generator set;
acquiring the real-time temperature of a hydropower station generator set after starting, calculating the real-time temperature change slope of unit time at intervals according to the real-time temperature, and obtaining the sample temperature change slope at the moment corresponding to the real-time temperature change slope according to a sample curve;
according to the real-time temperature change slope and the sample temperature change slope, carrying out temperature abnormity judgment to obtain a primary judgment result;
judging whether to carry out starting temperature alarm or not according to the judgment result of N times continuously;
and when the hydropower station generator set meets the starting-up ending condition, stopping starting-up temperature monitoring and warning.
With reference to the first aspect, further, the start-up conditions include an initial start-up temperature and an initial indoor temperature.
With reference to the first aspect, further, the method for constructing the startup temperature change curve sample library includes:
acquiring historical starting data of a generator set of the hydropower station;
carrying out data cleaning and timestamp normalization processing on historical startup data by using a smoothing algorithm;
generating a plurality of historical startup temperature change curves according to the processed historical startup data;
dividing the temperature of the starting machine and the indoor temperature into intervals respectively to form a temperature interval two-dimensional table;
selecting a temperature interval according to the initial starting temperature and the initial indoor temperature of the historical starting temperature change curve, storing the historical starting temperature change curve into a temperature interval two-dimensional table according to the time sequence and working conditions, and generating a starting temperature change curve sample library.
With reference to the first aspect, further, the method for performing data cleansing and timestamp normalization processing on historical boot data by using a smoothing algorithm includes:
according to basic time unit tΔSlave calendarExtracting temperature data of a plurality of time periods from the historical startup data;
calculating the AB coefficient of the smoothing algorithm according to the temperature data of each time segment, wherein the calculation formula is as follows:
wherein a is the coefficient A of the smoothing algorithm,
represents the average value of the temperature over the time period, B is the B coefficient of the smoothing algorithm,
representing the average value of the time instants of the temperature samples in the time interval, n being the total number of temperature samples in the time interval, xiIndicating the ith temperature sampling instant, y, within the time periodiRepresenting x within a time periodiThe temperature value i acquired at the moment is 1,2, …, n;
and smoothing the temperature data in each time period based on the AB coefficient of the smoothing algorithm, wherein the formula is as follows:
Yi＝bxi+a (3)
wherein, YiRepresents x after smoothingiThe temperature value at the moment.
With reference to the first aspect, further, it is assumed that the historical startup temperature change curve γ already exists in the jth cell in the two-dimensional table of temperature intervals1History starting temperature variation curve gamma2The initial starting temperature and the initial indoor temperature also belong to the temperature interval of the jth cell, and a historical starting temperature change curve gamma is obtained1And historical boot temperature change curve gamma2When the difference value of the starting time length is more than 10 minutes, the calendar with the large starting time length is obtainedAnd storing the historical startup temperature change curve into the jth cell, otherwise, storing the historical startup temperature change curve with late startup time into the jth cell.
With reference to the first aspect, further, the method for determining temperature anomaly and warning whether to start up temperature includes:
calculating the temperature change slope difference k according to the real-time temperature change slope and the sample temperature change slopeΔm＝km-ksmWherein k isΔmRepresenting the difference in slope of the temperature change, k, in the m-th time intervalmRepresenting the real-time temperature change slope, ks, in the m-th time intervalmRepresenting the slope of the change in the temperature of the sample in the mth time interval, m being a positive integer greater than 1;
when k isΔmIs greater than a preset threshold klimitAnd k isΔm-1Is also greater than klimitIf so, adding one to the deviation times, otherwise, keeping the deviation times as 0;
and when the deviation times is more than or equal to N, judging that the temperature of the hydropower station generator set is abnormal, and alarming the starting temperature.
With reference to the first aspect, further, after the start-up of the hydroelectric generating set is completed, a real-time start-up temperature change curve is generated according to the real-time temperature during the start-up process, and whether the real-time start-up temperature change curve is updated to the start-up temperature change curve sample library is determined according to the start-up condition of the hydroelectric generating set.
With reference to the first aspect, further, when the start-up temperature variation curve sample library does not have a sample curve that satisfies the start-up condition of the hydroelectric generating set, a temperature interval is selected from the start-up temperature variation curve sample library according to the start-up condition of the hydroelectric generating set, and the real-time start-up temperature variation curve is stored in the temperature interval.
With reference to the first aspect, further, the boot end condition is:
the hydropower station generator set receives a shutdown order or the temperature change of the hydropower station generator set is smaller than a preset threshold value within M minutes.
In a second aspect, the present invention provides a power station startup temperature warning system, including:
the starting temperature change curve sample library is used for storing historical starting temperature change curves of the hydropower station generator set;
the sample screening module is used for selecting a sample curve from a pre-constructed starting temperature change curve sample library according to the starting condition of the hydropower station generator set;
the curve drawing module is used for generating a starting temperature change curve according to temperature data in the starting process of the hydropower station generator set;
the tracking alarm module is used for calculating a real-time temperature change slope and a sample temperature change slope according to the real-time temperature of the hydropower station generator set and a sample curve, performing temperature abnormity judgment according to the real-time temperature change slope and the sample temperature change slope to obtain a judgment result once, and judging whether to perform starting temperature alarm according to the judgment results for N times continuously;
and the standby module stops the starting temperature monitoring and the starting temperature alarming when the hydropower station generator set meets the starting ending condition.
The following advantages can be obtained by adopting the technical means:
the invention provides a method and a system for alarming the starting temperature of a hydropower station. The method can track the change slope of the startup temperature in unit time in real time, compares the change slope with the temperature change slope of a sample curve, and gives an alarm after the change slope exceeds a threshold value.
The invention can find the abnormal change of the temperature of the unit before the starting temperature does not reach the limit temperature which can be endured by the equipment, reminds the operation maintainer to deal with in advance, can effectively avoid the occurrence of larger personal and property loss of the power station, and has important effect on ensuring the safe and stable operation of the power station.
Drawings
FIG. 1 is a flow chart of the steps of a method for alarming a start-up temperature of a hydropower station according to the invention;
FIG. 2 is a flow chart illustrating a construction of a boot temperature variation curve sample library according to an embodiment of the present invention;
FIG. 3 is a flow chart of selecting a sample curve according to an embodiment of the present invention;
FIG. 4 is a flowchart illustrating abnormal boot temperature determination and alarm in an embodiment of the present invention.
Detailed Description
The technical scheme of the invention is further explained by combining the accompanying drawings as follows:
the invention provides a hydropower station starting temperature alarm method, which specifically comprises the following steps as shown in figure 1:
a, establishing a starting temperature change curve sample library, wherein a temperature rise process sample of a starting process is mined from historical operation data of a unit by taking historical data of a hydropower station monitoring system as a data base, a standard temperature change curve sample is formed after data cleaning and time stamp arrangement are completed through a smoothing algorithm, and the starting temperature and room temperature are taken as working conditions to establish the starting temperature change standard curve sample library. As shown in fig. 2, the specific operation is as follows:
and A01, obtaining historical starting data of the hydropower station generator set. The method comprises the steps of obtaining historical operation data of a generating set of the hydropower station from a hydropower station monitoring system, taking a starting command as starting time, taking a stopping command or a unit temperature measuring value as ending time, wherein the continuous 5-minute change amplitude of the unit temperature measuring value is less than 1 degree, and obtaining historical starting data, wherein the historical starting data comprises the starting time, the ending time, the position of a temperature measuring point of the unit, temperature sampling time, temperature collected by the temperature measuring point at the temperature sampling time and the like.
Step A02, setting basic time unit tΔAnd carrying out data cleaning and time stamp regularization processing on the historical startup data by using a smoothing algorithm, wherein the specific operations of the data cleaning and the time stamp regularization are as follows:
(1) in 4 successive basic time units tΔFor a period of time, from calendarExtracting temperature data of a plurality of time periods from the historical startup data, namely selecting one moment in each startup time range of the historical startup data as a starting moment, and continuously taking 4 t times from the starting momentΔThe data in the data extraction and subsequent processing.
(2) Calculating the AB coefficient of the smoothing algorithm according to the temperature data of each time segment, wherein the calculation formula is as follows:
wherein a is the coefficient A of the smoothing algorithm,
represents the average value of the temperature over the time period, B is the B coefficient of the smoothing algorithm,
representing the average value of the time instants of the temperature samples in the time interval, n being the total number of temperature samples in the time interval, xiIndicating the ith temperature sampling instant, y, within the time periodiRepresenting x within a time periodiThe temperature value i, which is acquired at a time, is 1,2, …, n.
(3) And smoothing the temperature data in each time period based on the AB coefficient of the smoothing algorithm, wherein the formula is as follows:
Yi＝bxi+a (10)
wherein, YiRepresents x after smoothingiThe temperature value at the moment.
According to the smoothing algorithm, calculating the result according to tΔValid temperature data are obtained at intervals.
Step A03, generating a plurality of historical startup temperature change curves according to the processed historical startup data, wherein in general, one temperature change curve contains the temperature change of one startup process of one temperature measuring point on the unit, the abscissa of the temperature change curve is time, and the ordinate is temperature.
Step A04, respectively dividing the starting temperature and the indoor temperature into intervals, wherein the starting temperature refers to the temperature of the unit at the moment when the unit starts to start, and starting and stopping values of the starting temperature and the indoor temperature can be set according to experience, for example, the starting temperature starts from 10 ℃, intervals are established at intervals of 1 ℃, the indoor temperature starts from-10 ℃, intervals are established at intervals of 5 ℃, and a two-dimensional temperature interval table is formed. Each cell in the two-dimensional table of temperature intervals corresponds to a set of startup temperature intervals and indoor temperature intervals, such as 10-11 ℃ of startup temperature and 0-5 ℃ of indoor temperature.
And A05, arranging the historical startup temperature change curves obtained in the step A03 according to the startup time sequence, selecting a temperature interval according to the initial startup temperature and the initial indoor temperature of the historical startup temperature change curves from the curve with the earliest startup time, and then sequentially storing the historical startup temperature change curves into a temperature interval two-dimensional table according to working conditions to generate a startup temperature change curve sample library.
Step a06, because the curves are stored in the two-dimensional table in time sequence, the curve exists in the table: suppose the jth cell in the two-dimensional table of the temperature interval (the starting temperature range is 10-11 ℃, the indoor temperature range isThe temperature is 0-5 ℃), and a historical startup temperature change curve gamma with a front startup time is stored1(the initial startup temperature is 11 ℃, the initial indoor temperature is 1 ℃), and the historical startup temperature change curve gamma of the later startup time2The initial starting temperature (13 ℃) and the initial indoor temperature (4 ℃) also belong to the temperature interval of the jth cell, and under the condition, the validity of a sample needs to be judged, and a historical starting temperature change curve gamma is obtained1And historical boot temperature change curve gamma2When the difference between the starting time and the starting time is more than 10 minutes, the historical starting temperature change curve with the long starting time is stored into the jth cell, otherwise, the historical starting temperature change curve with the late starting time is stored into the jth cell, for example, gamma1Is 16 minutes, gamma2Is 22 minutes, the difference between the two is 22-16-8<10, thus turning on the boot later γ2And storing the jth cell.
And step B, selecting a sample curve from a pre-constructed starting temperature change curve sample library according to starting conditions of the hydropower station generator set, wherein the starting conditions comprise initial starting temperature and initial indoor temperature, namely the temperature of the generator set and the indoor temperature collected at the moment when the generator set receives a starting command to carry out starting operation.
And (3) the system is in butt joint with a real-time data bus of a hydropower station monitoring system, a starting order of the unit is tracked and monitored in real time, and when starting operation is found, sample curves are prepared for the unit one by one at temperature measuring points. As shown in fig. 3, after a startup order is received for each temperature measurement point on the unit, an initial startup temperature and an initial indoor temperature of the temperature measurement point are obtained as startup conditions of the hydropower station generator set, then a corresponding temperature interval is searched from a startup temperature change curve sample library constructed in advance according to the startup conditions, and a historical startup temperature change curve is extracted from cells of the temperature interval as a sample curve. And if the sample curve meeting the starting condition of the hydropower station generator set at the current time is not in the starting temperature change curve sample library (namely, no curve exists in the cell corresponding to the temperature interval), normally acquiring temperature data of the hydropower station generator set in the starting process, generating a starting temperature change curve according to the real-time temperature in the starting process after the hydropower station generator set is started, and updating the starting temperature change curve sample library to be used next time.
And step C, acquiring the real-time temperature of the hydropower station generator set after starting, calculating the real-time temperature change slope of unit time at intervals according to the real-time temperature, and obtaining the sample temperature change slope at the moment corresponding to the real-time temperature change slope according to the sample curve.
As shown in fig. 4, the calculation process of the real-time temperature change slope and the sample temperature change slope is as follows:
(1) after monitoring a new starting command, initializing the starting time of the sample curve and the time of receiving the new starting command to be 0, and taking a basic time unit tΔTracking and comparing the sample curve and the real-time temperature for a time interval, and setting t after a startup command is received to perform unit startup operationmReal time temperature at time TmAt an interval of tΔThen obtain the second moment
The real-time temperature of the moment is
Obtaining t from the sample curvemHistorical temperature at time TsmAnd
historical temperature of time of day
(2) According to the interval tΔThe real-time temperature change slope and the sample temperature change slope are calculated according to the following calculation formula:
wherein k ismRepresenting the real-time temperature change slope, ks, in the m-th time intervalmRepresents the slope of the change in the temperature of the sample over the mth time interval, m being a positive integer greater than 1.
Step D, according to the real-time temperature change slope and the sample temperature change slope, performing temperature abnormity judgment to obtain a judgment result, and judging whether to perform starting temperature alarm according to the judgment results for N times, as shown in FIG. 4, the specific operations include:
step D01, calculating a temperature change slope difference k according to the real-time temperature change slope and the sample temperature change slopeΔm＝km-ksmWherein k isΔmIndicating the temperature change slope difference in the mth time interval.
Step D02, when kΔmIs greater than a preset threshold klimitAnd k isΔm-1Is also greater than klimitIf so, the number of deviations is increased by one, otherwise the number of deviations is 0.
D03, when the deviation frequency is more than or equal to N, judging the temperature abnormality of the hydropower station generator set, and alarming the starting temperature, otherwise, circulating the steps D01-D05, checking the temperature change slope of the next time interval, and recording kΔm. In the embodiment of the invention, N is 3.
The invention can give an alarm only when the temperature change slope difference value continuously exceeds the threshold value for N times, and can avoid the false operation of the sensor caused by the interfered jump.
Step E, the invention can repeat step D, the starting temperature monitoring and the starting temperature alarming are continuously carried out in the starting process, when the hydropower station generator set meets the starting ending condition, the starting temperature monitoring and the starting temperature alarming are stopped, and the starting ending condition comprises: 1. the hydropower station generator set receives a halt order; 2. the temperature of the hydropower station generator set changes to be smaller than a preset threshold value within M minutes, wherein M is 5 in the embodiment of the invention.
Step F, after the start of the hydropower station generator set is finished, generating a real-time start-up temperature change curve according to the real-time temperature in the start-up process, and judging whether to update the real-time start-up temperature change curve to a start-up temperature change curve sample library according to the start-up condition of the hydropower station generator set, wherein the specific judgment process is as follows:
and step F01, when the start-up temperature change curve sample library does not have a sample curve meeting the start-up conditions of the hydropower station generator set, selecting a temperature interval from the start-up temperature change curve sample library according to the start-up conditions of the hydropower station generator set, and storing the real-time start-up temperature change curve into the temperature interval.
And step F02, when the sample curve meeting the starting condition of the hydropower station generator set exists in the starting temperature change curve sample library, comparing the starting time lengths of the sample curve and the real-time starting temperature change curve according to the method in the step A06, and finally judging whether the curve is updated.
The invention also provides a hydropower station starting temperature alarm system which comprises a starting temperature change curve sample library, a sample screening module, a curve drawing module, a tracking alarm module and a standby module.
The starting temperature change curve sample library is mainly used for storing historical starting temperature change curves of the hydropower station generator set, and the curves in the starting temperature change curve sample library can be continuously updated along with the time.
The sample screening module is mainly used for selecting a sample curve from a pre-constructed starting temperature change curve sample library according to the starting condition of the hydropower station generator set.
The curve drawing module is mainly used for generating a starting temperature change curve according to temperature data in the starting process of the hydropower station generator set, specifically generating a historical starting temperature change curve according to historical temperatures in the historical starting data, and generating a real-time starting temperature change curve according to real-time temperatures in the real-time starting data.
The tracking alarm module is mainly used for calculating a real-time temperature change slope and a sample temperature change slope according to the real-time temperature of the hydropower station generator set and a sample curve, carrying out temperature abnormity judgment according to the real-time temperature change slope and the sample temperature change slope to obtain a judgment result, judging whether to carry out starting temperature alarm or not according to N continuous judgment results, and the operation of the tracking alarm module is consistent with the steps C-D of the method.
The standby module is mainly used for stopping the start-up temperature monitoring and the start-up temperature alarming when the hydropower station generator set meets the start-up ending condition.
The method and the system are simple and quick to operate, high in availability and real-time performance, capable of finding out abnormal changes of the unit temperature before the starting temperature does not reach the limit temperature which can be endured by equipment, reminding operation and maintenance personnel to deal with the abnormal changes in advance, capable of effectively avoiding greater personal and property loss of the power station, and important for guaranteeing safe and stable operation of the power station.
The above description is only a preferred embodiment of the present invention, and it should be noted that, for those skilled in the art, several modifications and variations can be made without departing from the technical principle of the present invention, and these modifications and variations should also be regarded as the protection scope of the present invention.
Claims (10)
1. A hydropower station starting temperature alarm method is characterized by comprising the following steps:
selecting a sample curve from a pre-constructed starting temperature change curve sample library according to the starting condition of the hydropower station generator set;
acquiring the real-time temperature of a hydropower station generator set after starting, calculating the real-time temperature change slope of unit time at intervals according to the real-time temperature, and obtaining the sample temperature change slope at the moment corresponding to the real-time temperature change slope according to a sample curve;
according to the real-time temperature change slope and the sample temperature change slope, carrying out temperature abnormity judgment to obtain a primary judgment result;
judging whether to carry out starting temperature alarm or not according to the judgment result of N times continuously;
and when the hydropower station generator set meets the starting-up ending condition, stopping starting-up temperature monitoring and warning.
2. The method according to claim 1, wherein the start-up conditions include an initial start-up temperature and an initial indoor temperature.
3. The method for alarming the startup temperature of the hydropower station according to claim 1, wherein the method for constructing the startup temperature change curve sample library comprises the following steps:
acquiring historical starting data of a generator set of the hydropower station;
carrying out data cleaning and timestamp normalization processing on historical startup data by using a smoothing algorithm;
generating a plurality of historical startup temperature change curves according to the processed historical startup data;
dividing the temperature of the starting machine and the indoor temperature into intervals respectively to form a temperature interval two-dimensional table;
selecting a temperature interval according to the initial starting temperature and the initial indoor temperature of the historical starting temperature change curve, storing the historical starting temperature change curve into a temperature interval two-dimensional table according to the time sequence and working conditions, and generating a starting temperature change curve sample library.
4. The method for alarming the starting temperature of the hydropower station according to claim 3, wherein the method for performing data cleaning and time stamp regularization processing on historical starting data by using a smoothing algorithm comprises the following steps:
according to basic time unit tΔExtracting temperature data of a plurality of time periods from historical starting-up data;
calculating the AB coefficient of the smoothing algorithm according to the temperature data of each time segment, wherein the calculation formula is as follows:
wherein a is the coefficient A of the smoothing algorithm,
represents the average value of the temperature over the time period, B is the B coefficient of the smoothing algorithm,
representing the average value of the time instants of the temperature samples in the time interval, n being the total number of temperature samples in the time interval, xiIndicating the ith temperature sampling instant, y, within the time periodiRepresenting x within a time periodiThe temperature value i acquired at the moment is 1,2, …, n;
and smoothing the temperature data in each time period based on the AB coefficient of the smoothing algorithm, wherein the formula is as follows:
Yi＝bxi+a
wherein, YiRepresents x after smoothingiThe temperature value at the moment.
5. The method according to claim 3, wherein it is assumed that a historical startup temperature change curve γ has been stored in the jth cell of the two-dimensional table of temperature intervals1History starting temperature variation curve gamma2The initial starting temperature and the initial indoor temperature also belong to the temperature interval of the jth cell, and a historical starting temperature change curve gamma is obtained1And historical boot temperature change curve gamma2When the difference value of the starting time length is more than 10 minutes, the historical starting temperature change curve with large starting time length is stored into the jth cell, otherwise, the historical starting temperature change curve with late starting time is stored into the jth cell.
6. The method for alarming the starting temperature of the hydropower station according to claim 1, wherein the method for judging the temperature abnormality and alarming whether the starting temperature is abnormal or not comprises the following steps:
calculating the temperature change slope difference k according to the real-time temperature change slope and the sample temperature change slopeΔm＝km-ksmWherein k isΔmRepresenting the difference in slope of the temperature change, k, in the m-th time intervalmRepresenting the real-time temperature change slope, ks, in the m-th time intervalmRepresenting the slope of the change in the temperature of the sample in the mth time interval, m being a positive integer greater than 1;
when k isΔmIs greater than a preset threshold klimitAnd k isΔm-1Is also greater than klimitIf so, adding one to the deviation times, otherwise, keeping the deviation times as 0;
and when the deviation times is more than or equal to N, judging that the temperature of the hydropower station generator set is abnormal, and alarming the starting temperature.
7. The method according to claim 1, wherein after the start-up of the hydroelectric generating set is finished, a real-time start-up temperature change curve is generated according to the real-time temperature in the start-up process, and whether the real-time start-up temperature change curve is updated to the start-up temperature change curve sample library is judged according to the start-up condition of the hydroelectric generating set.
8. The method according to claim 7, wherein when the sample curves satisfying the startup conditions of the hydroelectric generating sets do not exist in the startup temperature variation curve sample library, a temperature interval is selected from the startup temperature variation curve sample library according to the startup conditions of the hydroelectric generating sets, and the real-time startup temperature variation curve is stored in the temperature interval.
9. The method for alarming the start-up temperature of the hydropower station according to claim 1, wherein the start-up ending condition is that:
the hydropower station generator set receives a shutdown order or the temperature change of the hydropower station generator set is smaller than a preset threshold value within M minutes.
10. A power station start-up temperature warning system, characterized by includes:
the starting temperature change curve sample library is used for storing historical starting temperature change curves of the hydropower station generator set;
the sample screening module is used for selecting a sample curve from a pre-constructed starting temperature change curve sample library according to the starting condition of the hydropower station generator set;
the curve drawing module is used for generating a starting temperature change curve according to temperature data in the starting process of the hydropower station generator set;
the tracking alarm module is used for calculating a real-time temperature change slope and a sample temperature change slope according to the real-time temperature of the hydropower station generator set and a sample curve, performing temperature abnormity judgment according to the real-time temperature change slope and the sample temperature change slope to obtain a judgment result once, and judging whether to perform starting temperature alarm according to the judgment results for N times continuously;
and the standby module stops the starting temperature monitoring and the starting temperature alarming when the hydropower station generator set meets the starting ending condition.
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| CN202111360259.3A CN114278485A (en) | 2021-11-17 | 2021-11-17 | Hydropower station starting temperature warning method and system |
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