CN109298700B - Method and system for judging abnormal change of operation parameters of thermal power generating unit in real time - Google Patents
Method and system for judging abnormal change of operation parameters of thermal power generating unit in real time Download PDFInfo
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- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS], computer integrated manufacturing [CIM]
- G05B19/4184—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS], computer integrated manufacturing [CIM] characterised by fault tolerance, reliability of production system
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- G—PHYSICS
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- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
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- G05B2219/31—From computer integrated manufacturing till monitoring
- G05B2219/31457—Factory remote control, monitoring through internet
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- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
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Abstract
The invention discloses a method and a system for judging abnormal changes of operating parameters of a thermal power generating unit in real time, wherein the method comprises the following implementation steps: acquiring a plurality of numerical values of the operation parameters of the specified thermal power generating unit in a diagnosis period; judging whether the specified operation parameter has three conditions of (i) - (iii): case I is the occurrence of a mutation; case two is that continuous increasing or continuous decreasing occurs; the situation (c) is that abnormal fluctuation occurs; if any one of the three conditions, namely the first condition and the third condition occurs, judging that the operation parameters of the specified thermal power generating unit are abnormal; if the three conditions are not generated, judging that the operation parameters of the specified thermal power generating unit are normal; the system comprises a system corresponding to the method. The invention has the advantages of stronger implementation flexibility and lower application and maintenance cost, realizes the early warning function, provides effective clues for accident reason analysis, and provides effective means for operators to more accurately master the real-time operation condition of the unit.
Description
Technical Field
The invention relates to an intelligent monitoring technology for the operating state of a thermal power generating unit, in particular to a method and a system for judging abnormal changes of operating parameters of the thermal power generating unit in real time.
Background
In recent years, the design, infrastructure, debugging, operation and maintenance technology of thermal power generating units in China is mature day by day, and the requirements for energy conservation and consumption reduction are strict day by day. The capacity of a single machine of a thermal power plant is continuously increased, the automation degree of a unit is also continuously improved, and a large thermal generator set becomes a main power generator in the electric power industry of China. The structure and the operation mode of the power grid are greatly changed due to the large-volume operation of the large-capacity unit units, and the safe and stable operation of the units has decisive influence on the safe, stable and economic operation of the power grid. The thermal power generating unit with high parameter and large capacity means more auxiliary equipment and measuring points, the labor intensity of operators is increased, and more risks and hidden dangers are brought to the safe and stable operation of the thermal power generating unit. By selecting some important parameters which have great influence on the safe operation of the unit to monitor in real time and judging whether the parameters change abnormally or not on line, the system can not only give an alarm in time to prevent accidents, but also provide reference when analyzing accident reasons, is beneficial to the safe operation of the unit and the power grid, and simultaneously provides convenience for operators to more accurately master the operation condition of the unit.
With the continuous development of informatization and industrialization deep fusion, Chinese electric power equipment gradually changes to an intelligent stage. The intelligent operation of the thermal power generating unit becomes a new research hotspot. The final purpose of intelligent operation of the unit is to reduce or even quit manual intervention and realize intelligent closed-loop control of all systems. The prerequisite is to accurately diagnose the running state of the unit set and analyze the reason of the state formation, thereby providing basis for intelligent decision. Monitoring some operation parameters in real time and judging whether the operation parameters are abnormally changed on line can provide clues for analyzing the formation reason of the current unit operation state.
At present, as for a protection system of a thermal power generating unit, a furnace chamber safety protection system is arranged on a furnace side, and a turbine emergency shutdown system is arranged on a machine side. Both of the parameters are important parameters which endanger the safety of the equipment, and when the monitored parameters are larger than a certain fixed value, an alarm or trip protection action is carried out, so that the damage of the host equipment can be effectively prevented. The method has the defects that no effective preventive measures exist before the alarming or protecting action occurs, whether the early warning is carried out in advance and corresponding rescue measures are adopted completely depends on the monitoring of operators, and the reliability needs to be improved. In addition, in the field of intelligent diagnosis of the combustion state of the boiler of the thermal power generating unit, the current technology focuses on evaluating the current combustion state of a hearth, deep analysis on the reason of the current combustion state is lacked, and the method has a larger distance from closed-loop control of boiler combustion.
Disclosure of Invention
The technical problems to be solved by the invention are as follows: aiming at the problems in the prior art, the invention provides the method and the system for accurately, reliably and real-timely judging the abnormal change of the operating parameters of the thermal power generating unit without increasing equipment cost investment and maintenance cost.
In order to solve the technical problems, the invention adopts the technical scheme that:
a method for judging abnormal changes of operating parameters of a thermal power generating unit in real time comprises the following implementation steps:
1) acquiring a plurality of numerical values of specified operating parameters of the thermal power generating unit in a diagnosis period;
2) judging whether three conditions (i) to (iii) occur in the specified operation parameters: case I is the occurrence of a mutation; case two is that continuous increasing or continuous decreasing occurs; the situation (c) is that abnormal fluctuation occurs; if any one of the first condition and the third condition occurs, judging that the operating parameters of the thermal power generating unit are abnormal; and if the three conditions are not present, judging that the operating parameters of the thermal power generating unit are normal.
The detailed steps of the step 2) comprise:
2.1) judging whether the specified operation parameters are in a first condition, wherein the first condition is that mutation occurs, and if the first condition is in the first condition, judging that the operation parameters of the thermal power generating unit are abnormal and quitting; otherwise, skipping to execute the step 2.2);
2.2) judging whether the specified operation parameters are in a second condition, namely continuously increasing or continuously decreasing, and if the second condition is in the second condition, judging that the operation parameters of the thermal power generating unit are abnormal and quitting; otherwise, skipping to execute the step 2.3);
2.3) judging whether the specified operation parameters occur, namely abnormal fluctuation occurs, and if so, judging that the operation parameters of the thermal power generating unit are abnormal and quitting; otherwise, skipping to execute the step 2.4);
and 2.4) judging that the operating parameters of the thermal power generating unit are normal.
The detailed step of judging whether the specified operation parameters appear in the step 2) comprises the following steps: n numerical values { x) arranged in time sequence for specified thermal power unit operation parameters in a diagnosis period0, x1, ……xnSubtracting any two adjacent numerical values and calculating an absolute value to obtain an adjacent numerical value difference absolute value sequence { | x1-x0|, |x2-x1|, ……|xn-xn-1L, judging an absolute value sequence of adjacent numerical value differences { | x1-x0|, |x2-x1|, ……|xn-xn-1And if yes, judging that the operation parameter value has a condition (i).
The judgment adjacent numerical difference absolute value sequence { | x1-x0|, |x2-x1|, ……|xn-xn-1Specifically, whether the number of elements greater than or equal to 1 in | } that is greater than a preset threshold is true or not includes: calculating an adjacent numerical difference absolute value sequence { | x by a counter1-x0|, |x2-x1|, ……|xn-xn-1The number of elements which are larger than a preset threshold value in the absolute value sequence is determined, the counter is added with 1 every time an element which is larger than the preset threshold value appears, whether the final count value m of the counter is larger than or equal to 1 is judged, and if yes, the adjacent number difference absolute value sequence { | x is judged1-x0|, |x2-x1|, ……|xn-xn-1If the number of the elements larger than the preset threshold in { | } is larger than or equal to 1, otherwise, judging the absolute value sequence of the adjacent numerical value difference { | x1-x0|, |x2-x1|, ……|xn-xn-1The condition that the number of elements larger than a preset threshold value is larger than or equal to 1 does not exist; and when entering the next diagnosis period, resetting the counter.
The detailed step of judging whether the specified operation parameters appear in the step 2) comprises the following steps: n numerical values { x) arranged in time sequence for specified thermal power unit operation parameters in a diagnosis period0, x1, ……xnGet the numerical value sequence { x }0, x1, ……xnMaximum value x inmaxAnd the minimum value xminFinding the maximum value xmaxAnd the minimum value xminDifference x betweend(ii) a Subtracting any two adjacent elements in the numerical value sequence to obtain an adjacent numerical value difference sequence { x1-x0, x2-x1, ……xn-xn-1If adjacent value difference sequence { x }1-x0, x2-x1, ……xn-xn-1All elements in the lattice are greater than or equal to 0 and the difference xdIf the value is larger than a preset threshold value, the specified operation parameter value is judged to be continuously increased; if the adjacent value difference sequence { x1-x0, x2-x1, ……xn-xn-1All elements in the lattice are less than or equal to 0 and the difference xdIf the value is larger than a preset threshold value, the specified operation parameter value is judged to be continuously decreased; if the designated operation parameter value continuously increases or continuously decreases, the operation parameter is judged to be in a second condition.
The detailed step of judging whether the specified operation parameter(s) appear in the step 2) comprises the following steps: n numerical values { x) arranged in time sequence for specified thermal power unit operation parameters in a diagnosis period0, x1, ……xnGet the numerical value sequence { x }0, x1, ……xnMaximum value x inmaxAnd the minimum value xminFinding the maximum value xmaxAnd the minimum value xminDifference x betweend(ii) a Subtracting any two adjacent operation parameter values to obtain an adjacent numerical value difference sequence { x1-x0, x2-x1, ……xn-xn-1According to the adjacent numerical value difference sequence { x }1-x0, x2-x1, ……xn-xn-1Calculating the product of adjacent elements to obtain the product sequence of the adjacent elements { (x)1-x0)·(x2-x1) , (x2-x1)·(x3-x2) ,……, (xn-1-xn-2)·(xn-xn-1) }; if adjacent element product sequence { (x)1-x0)·(x2-x1) , (x2-x1)·(x3-x2) ,……, (xn-1-xn-2)·(xn-xn-1) The number of elements less than or equal to 0 is greater than or equal to a preset threshold, and the difference xdIf the value is greater than or equal to a predetermined threshold value, the determination is madeThe specified operation parameter occurs.
Judging the product sequence of adjacent elements { (x)1-x0)·(x2-x1) , (x2-x1)·(x3-x2) ,……, (xn-1-xn-2)·(xn-xn-1) The detailed steps that the number of elements less than or equal to 0 is greater than or equal to a preset threshold include: calculating a sequence of adjacent element products by a counter (x)1-x0)·(x2-x1) , (x2-x1)·(x3-x2) ,……, (xn-1-xn-2)·(xn-xn-1) The number of elements less than or equal to 0 is increased by 1 every time an element less than or equal to 0 appears, whether the final count value n of the counter is greater than or equal to a preset threshold value is judged, and if yes, the product sequence of adjacent elements is judged to be { (x)1-x0)·(x2-x1) , (x2-x1)·(x3-x2) ,……, (xn-1-xn-2)·(xn-xn-1) It holds true that the number of elements less than or equal to 0 is greater than or equal to a preset threshold; otherwise, judging the product sequence of adjacent elements { (x)1-x0)·(x2-x1) , (x2-x1)·(x3-x2) ,……, (xn-1-xn-2)·(xn-xn-1) It does not hold that the number of elements less than or equal to 0 is greater than or equal to a preset threshold; and when entering the next diagnosis period, resetting the counter.
Judging the product sequence of adjacent elements { (x)1-x0)·(x2-x1) , (x2-x1)·(x3-x2) ,……, (xn-1-xn-2)·(xn-xn-1) When the number of elements smaller than or equal to 0 is larger than or equal to a preset threshold value, the value of the preset threshold value is 3, and the numerical value sequence { x } of the operation parameters of the thermal power generating unit is arranged according to the time sequence0, x1, ……xnThe number n of elements is not less than 10.
Step 1) when a plurality of numerical values of the specified thermal power generating unit operation parameters in the diagnosis period are obtained, the length of the diagnosis period is 10-45 s, and the frequency when the plurality of numerical values of the specified operation parameters are obtained is equal to the acquisition frequency of the operation parameters in the data acquisition system.
The invention also provides a system for judging the abnormal change of the operating parameters of the thermal power generating unit in real time, which comprises computer equipment, wherein the computer equipment is programmed to execute the steps of the method for judging the abnormal change of the operating parameters of the thermal power generating unit in real time.
Compared with the prior art, the invention has the following advantages:
1. the invention has the advantages of stronger flexibility and low application cost. According to actual needs, one or more operation parameters of the thermal power generating unit can be monitored, whether the parameters are abnormally changed or not can be judged in real time, the method can be directly realized in the existing control system, extra hardware equipment investment cost is not increased, and the maintenance cost is low.
2. The invention has the function of early warning. The real-time judgment of the abnormal change of the unit operation parameters can early warn the hidden danger which may endanger the safe operation of the unit in advance, provide effective information for operating personnel to more accurately master the unit operation state, provide basis for reasonably optimizing operation, timely process the hidden danger for the operating personnel, and ensure the stable operation of the unit to gain time.
3. The invention provides effective clues for accident reason analysis. After an accident occurs, the accident occurrence reason can be accurately and quickly found out by looking up the abnormal change record of the operation parameters.
Drawings
FIG. 1 is a basic flow diagram of a method according to an embodiment of the present invention.
Detailed Description
As shown in fig. 1, the implementation steps of the method for determining abnormal changes of operating parameters of a thermal power generating unit in real time in this embodiment include:
1) acquiring a plurality of numerical values of specified operating parameters of the thermal power generating unit in a diagnosis period;
2) judging whether three conditions (i) to (iii) occur in the specified operation parameters: case I is the occurrence of a mutation; case two is that continuous increasing or continuous decreasing occurs; the situation (c) is that abnormal fluctuation occurs; if any one of the first condition and the third condition occurs, judging that the operating parameters of the thermal power generating unit are abnormal; and if the three conditions are not present, judging that the operating parameters of the thermal power generating unit are normal.
It should be noted that the first to third aspects are independent of each other, and may be determined in parallel or sequentially, and when the determination is performed sequentially, the order may be adjusted as needed. For example, in this embodiment, the determination is performed in order according to the sequence of the cases (i) to (iii). As shown in fig. 1, the detailed steps of step 2) include:
2.1) judging whether the specified operation parameters are in a first condition, wherein the first condition is that mutation occurs, and if the first condition is in the first condition, judging that the operation parameters of the thermal power generating unit are abnormal and quitting; otherwise, skipping to execute the step 2.2);
2.2) judging whether the specified operation parameters are in a second condition, namely continuously increasing or continuously decreasing, and if the second condition is in the second condition, judging that the operation parameters of the thermal power generating unit are abnormal and quitting; otherwise, skipping to execute the step 2.3);
2.3) judging whether the specified operation parameters occur, namely abnormal fluctuation occurs, and if so, judging that the operation parameters of the thermal power generating unit are abnormal and quitting; otherwise, skipping to execute the step 2.4);
and 2.4) judging that the operating parameters of the thermal power generating unit are normal.
In this embodiment, the detailed step of determining whether the specified operation parameter appears in step 2) includes: n numerical values { x) arranged in time sequence for specified thermal power unit operation parameters in a diagnosis period0, x1, ……xnSubtracting any two adjacent numerical values and calculating an absolute value to obtain an adjacent numerical value difference absolute value sequence { | x1-x0|, |x2-x1|, ……|xn-xn-1L, judging an absolute value sequence of adjacent numerical value differences { | x1-x0|, |x2-x1|, ……|xn-xn-1And if yes, judging that the operation parameter value has a condition (i).
In this embodiment, the adjacent value difference absolute value sequence { | x is determined1-x0|, |x2-x1|, ……|xn-xn-1Specifically, whether the number of elements greater than or equal to 1 in | } that is greater than a preset threshold is true or not includes: calculating an adjacent numerical difference absolute value sequence { | x by a counter1-x0|, |x2-x1|, ……|xn-xn-1The number of elements which are larger than a preset threshold value in the absolute value sequence is determined, the counter is added with 1 every time an element which is larger than the preset threshold value appears, whether the final count value m of the counter is larger than or equal to 1 is judged, and if yes, the adjacent number difference absolute value sequence { | x is judged1-x0|, |x2-x1|, ……|xn-xn-1If the number of the elements larger than the preset threshold in { | } is larger than or equal to 1, otherwise, judging the absolute value sequence of the adjacent numerical value difference { | x1-x0|, |x2-x1|, ……|xn-xn-1The condition that the number of elements larger than a preset threshold value is larger than or equal to 1 does not exist; and when entering the next diagnosis period, resetting the counter.
In this embodiment, the detailed step of judging whether the specified operation parameter occurs in step 2) includes: n numerical values { x) arranged in time sequence for specified thermal power unit operation parameters in a diagnosis period0, x1, ……xnGet the numerical value sequence { x }0, x1, ……xnMaximum value x inmaxAnd the minimum value xminFinding the maximum value xmaxAnd the minimum value xminDifference x betweend(ii) a Subtracting any two adjacent elements in the numerical value sequence to obtain an adjacent numerical value difference sequence { x1-x0, x2-x1, ……xn-xn-1If adjacent value difference sequence { x }1-x0, x2-x1, ……xn-xn-1All elements in the element are greater than or equal to 0,And the difference xdIf the value is larger than a preset threshold value, the specified operation parameter value is judged to be continuously increased; if the adjacent value difference sequence { x1-x0, x2-x1, ……xn-xn-1All elements in the lattice are less than or equal to 0 and the difference xdIf the value is larger than a preset threshold value, the specified operation parameter value is judged to be continuously decreased; if the designated operation parameter value continuously increases or continuously decreases, the operation parameter is judged to be in a second condition.
In this embodiment, the detailed step of judging whether the specified operation parameter(s) occurs in step 2) includes: n numerical values { x) arranged in time sequence for specified thermal power unit operation parameters in a diagnosis period0, x1, ……xnGet the numerical value sequence { x }0, x1, ……xnMaximum value x inmaxAnd the minimum value xminFinding the maximum value xmaxAnd the minimum value xminDifference x betweend(ii) a Subtracting any two adjacent operation parameter values to obtain an adjacent numerical value difference sequence { x1-x0, x2-x1, ……xn-xn-1According to the adjacent numerical value difference sequence { x }1-x0, x2-x1, ……xn-xn-1Calculating the product of adjacent elements to obtain the product sequence of the adjacent elements { (x)1-x0)·(x2-x1) , (x2-x1)·(x3-x2) ,……, (xn-1-xn-2)·(xn-xn-1) }; if adjacent element product sequence { (x)1-x0)·(x2-x1) , (x2-x1)·(x3-x2) ,……, (xn-1-xn-2)·(xn-xn-1) The number of elements less than or equal to 0 is greater than or equal to a preset threshold, and the difference xdIf the value is larger than or equal to the preset threshold value, the occurrence condition of the specified operation parameter is judged.
In this embodiment, the product sequence of adjacent elements { (x) is determined1-x0)·(x2-x1) , (x2-x1)·(x3-x2) ,……, (xn-1-xn-2)·(xn-xn-1) The detailed steps that the number of elements less than or equal to 0 is greater than or equal to a preset threshold include: calculating a sequence of adjacent element products by a counter (x)1-x0)·(x2-x1) , (x2-x1)·(x3-x2) ,……, (xn-1-xn-2)·(xn-xn-1) The number of elements less than or equal to 0 is increased by 1 every time an element less than or equal to 0 appears, whether the final count value n of the counter is greater than or equal to a preset threshold value is judged, and if yes, the product sequence of adjacent elements is judged to be { (x)1-x0)·(x2-x1) , (x2-x1)·(x3-x2) ,……, (xn-1-xn-2)·(xn-xn-1) It holds true that the number of elements less than or equal to 0 is greater than or equal to a preset threshold; otherwise, judging the product sequence of adjacent elements { (x)1-x0)·(x2-x1) , (x2-x1)·(x3-x2) ,……, (xn-1-xn-2)·(xn-xn-1) It does not hold that the number of elements less than or equal to 0 is greater than or equal to a preset threshold; and when entering the next diagnosis period, resetting the counter.
In this embodiment, the product sequence of adjacent elements { (x) is determined1-x0)·(x2-x1) , (x2-x1)·(x3-x2) ,……, (xn-1-xn-2)·(xn-xn-1) When the number of elements smaller than or equal to 0 is larger than or equal to a preset threshold value, the value of the preset threshold value is 3, and the numerical value sequence { x } of the operation parameters of the thermal power generating unit is arranged according to the time sequence0, x1, ……xnThe number n of elements is not less than 10.
In the embodiment, when multiple values of the specified thermal power generating unit operation parameters in the diagnosis period are obtained in step 1), the length of the diagnosis period is 10-45 s, and the frequency when the multiple values of the specified operation parameters are obtained is equal to the acquisition frequency of the operation parameters in the data acquisition system. In this embodiment, the operating parameter values are recorded once per second.
The embodiment also provides a system for judging the abnormal change of the operating parameter of the thermal power generating unit in real time, which comprises computer equipment, wherein the computer equipment is programmed to execute the steps of the method for judging the abnormal change of the operating parameter of the thermal power generating unit in real time.
The above description is only a preferred embodiment of the present invention, and the protection scope of the present invention is not limited to the above embodiments, and all technical solutions belonging to the idea of the present invention belong to the protection scope of the present invention. It should be noted that modifications and embellishments within the scope of the invention may occur to those skilled in the art without departing from the principle of the invention, and are considered to be within the scope of the invention.
Claims (6)
1. A method for judging abnormal changes of operating parameters of a thermal power generating unit in real time is characterized by comprising the following implementation steps:
1) acquiring a plurality of numerical values of specified operating parameters of the thermal power generating unit in a diagnosis period;
2) judging whether three conditions (i) to (iii) occur in the specified operation parameters: case I is the occurrence of a mutation; case two is that continuous increasing or continuous decreasing occurs; the situation (c) is that abnormal fluctuation occurs; if any one of the first condition and the third condition occurs, judging that the operating parameters of the thermal power generating unit are abnormal; if the three conditions are not generated, judging that the operating parameters of the thermal power generating unit are normal;
the detailed steps for judging whether the specified operation parameters occur comprise: n numerical values { x) arranged in time sequence for specified thermal power unit operation parameters in a diagnosis period0, x1, ……xnSubtracting any two adjacent numerical values and calculating an absolute value to obtain an adjacent numerical value difference absolute value sequence { | x1-x0|, |x2-x1|, ……|xn-xn-1L, judging an absolute value sequence of adjacent numerical value differences { | x1-x0|, |x2-x1|, ……|xn-xn-1If yes, judging that the condition of the operation parameter value is firstly; the judgment adjacent numerical difference absolute value sequence { | x1-x0|, |x2-x1|, ……|xn-xn-1Specifically, whether the number of elements greater than or equal to 1 in | } that is greater than a preset threshold is true or not includes: calculating an adjacent numerical difference absolute value sequence { | x by a counter1-x0|, |x2-x1|, ……|xn-xn-1The number of elements which are larger than a preset threshold value in the absolute value sequence is determined, the counter is added with 1 every time an element which is larger than the preset threshold value appears, whether the final count value m of the counter is larger than or equal to 1 is judged, and if yes, the adjacent number difference absolute value sequence { | x is judged1-x0|, |x2-x1|, ……|xn-xn-1If the number of the elements larger than the preset threshold in { | } is larger than or equal to 1, otherwise, judging the absolute value sequence of the adjacent numerical value difference { | x1-x0|, |x2-x1|, ……|xn-xn-1The condition that the number of elements larger than a preset threshold value is larger than or equal to 1 does not exist; when entering the next diagnosis period, resetting the counter;
the detailed step of judging whether the specified operation parameter occurs comprises the following steps: n numerical values { x) arranged in time sequence for specified thermal power unit operation parameters in a diagnosis period0, x1, ……xnGet the numerical value sequence { x }0, x1, ……xnMaximum value x inmaxAnd the minimum value xminFinding the maximum value xmaxAnd the minimum value xminDifference x betweend(ii) a Subtracting any two adjacent elements in the numerical value sequence to obtain an adjacent numerical value difference sequence { x1-x0, x2-x1, ……xn-xn-1If adjacent value difference sequence { x }1-x0, x2-x1, ……xn-xn-1All elements in } are greater thanOr equal to 0, and the difference xdIf the value is larger than a preset threshold value, the specified operation parameter value is judged to be continuously increased; if the adjacent value difference sequence { x1-x0, x2-x1, ……xn-xn-1All elements in the lattice are less than or equal to 0 and the difference xdIf the value is larger than a preset threshold value, the specified operation parameter value is judged to be continuously decreased; if the designated operation parameter value is continuously increased or continuously decreased, judging that the operation parameter has a condition II;
the detailed step of judging whether the specified operation parameter occurs comprises the following steps: n numerical values { x) arranged in time sequence for specified thermal power unit operation parameters in a diagnosis period0, x1, ……xnGet the numerical value sequence { x }0, x1, ……xnMaximum value x inmaxAnd the minimum value xminFinding the maximum value xmaxAnd the minimum value xminDifference x betweend(ii) a Subtracting any two adjacent operation parameter values to obtain an adjacent numerical value difference sequence { x1-x0, x2-x1, ……xn-xn-1According to the adjacent numerical value difference sequence { x }1-x0, x2-x1, ……xn-xn-1Calculating the product of adjacent elements to obtain the product sequence of the adjacent elements { (x)1-x0)·(x2-x1) , (x2-x1)·(x3-x2) ,……, (xn-1-xn-2)·(xn-xn-1) }; if adjacent element product sequence { (x)1-x0)·(x2-x1) , (x2-x1)·(x3-x2) ,……, (xn-1-xn-2)·(xn-xn-1) The number of elements less than or equal to 0 is greater than or equal to a preset threshold, and the difference xdIf the value is larger than or equal to the preset threshold value, the occurrence condition of the specified operation parameter is judged.
2. The method for judging the abnormal change of the operating parameter of the thermal power generating unit in real time according to claim 1, wherein the detailed step of the step 2) comprises the following steps:
2.1) judging whether the specified operation parameters are in a first condition, wherein the first condition is that mutation occurs, and if the first condition is in the first condition, judging that the operation parameters of the thermal power generating unit are abnormal and quitting; otherwise, skipping to execute the step 2.2);
2.2) judging whether the specified operation parameters are in a second condition, namely continuously increasing or continuously decreasing, and if the second condition is in the second condition, judging that the operation parameters of the thermal power generating unit are abnormal and quitting; otherwise, skipping to execute the step 2.3);
2.3) judging whether the specified operation parameters occur, namely abnormal fluctuation occurs, and if so, judging that the operation parameters of the thermal power generating unit are abnormal and quitting; otherwise, skipping to execute the step 2.4);
and 2.4) judging that the operating parameters of the thermal power generating unit are normal.
3. The method for judging abnormal changes of operating parameters of thermal power generating unit in real time as claimed in claim 1, characterized in that the product sequence of adjacent elements { (x)1-x0)·(x2-x1) , (x2-x1)·(x3-x2) ,……, (xn-1-xn-2)·(xn-xn-1) The detailed steps that the number of elements less than or equal to 0 is greater than or equal to a preset threshold include: calculating a sequence of adjacent element products by a counter (x)1-x0)·(x2-x1) , (x2-x1)·(x3-x2) ,……, (xn-1-xn-2)·(xn-xn-1) The number of elements less than or equal to 0 is increased by 1 every time an element less than or equal to 0 appears, whether the final count value n of the counter is greater than or equal to a preset threshold value is judged, and if yes, the product sequence of adjacent elements is judged to be { (x)1-x0)·(x2-x1) , (x2-x1)·(x3-x2) ,……, (xn-1-xn-2)·(xn-xn-1) It holds true that the number of elements less than or equal to 0 is greater than or equal to a preset threshold; otherwise, judging the product sequence of adjacent elements { (x)1-x0)·(x2-x1) , (x2-x1)·(x3-x2) ,……, (xn-1-xn-2)·(xn-xn-1) It does not hold that the number of elements less than or equal to 0 is greater than or equal to a preset threshold; and when entering the next diagnosis period, resetting the counter.
4. The method for judging abnormal changes of operating parameters of thermal power generating unit in real time as claimed in claim 1, characterized in that the product sequence of adjacent elements { (x)1-x0)·(x2-x1) , (x2-x1)·(x3-x2) ,……, (xn-1-xn-2)·(xn-xn-1) When the number of elements smaller than or equal to 0 is larger than or equal to a preset threshold value, the value of the preset threshold value is 3, and the numerical value sequence { x } of the operation parameters of the thermal power generating unit is arranged according to the time sequence0, x1, ……xnThe number n of elements is not less than 10.
5. The method for judging the abnormal change of the operating parameters of the thermal power generating unit in real time according to claim 1, wherein the length of the diagnosis period is 10-45 s when a plurality of values of the operating parameters of the thermal power generating unit are obtained in the diagnosis period, and the frequency when the plurality of values of the operating parameters are obtained is equal to the acquisition frequency of the operating parameters in the data acquisition system.
6. The utility model provides a system for judge abnormal change of thermal power generating unit operating parameter in real time, includes computer equipment, its characterized in that: the computer device is programmed to execute the steps of the method for judging the abnormal change of the operating parameters of the thermal power generating unit in real time according to any one of claims 1-5.
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