CN114564518A - Method for real-time statistics of times and non-stop rate of multi-working-condition states of thermal power generating unit - Google Patents

Method for real-time statistics of times and non-stop rate of multi-working-condition states of thermal power generating unit Download PDF

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CN114564518A
CN114564518A CN202210211813.XA CN202210211813A CN114564518A CN 114564518 A CN114564518 A CN 114564518A CN 202210211813 A CN202210211813 A CN 202210211813A CN 114564518 A CN114564518 A CN 114564518A
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张建刚
杜保华
吴涛
郝卫鹏
吴智群
何新
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Xian Thermal Power Research Institute Co Ltd
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Abstract

The invention discloses a method for carrying out real-time statistics on the number of times of multi-working-condition states and the non-stop rate of a thermal power generating unit, which comprises the following steps: standardizing data label names and acquiring unit power, coal supply quantity, reheater temperature and grid-connected switch states; judging the running state of the unit by using the power data and the grid-connected switch state; judging the starting and stopping states of the unit by using the power data and the grid-connected switch state; judging the non-stop and standby states of the unit by using operation historical data such as unit power, coal supply quantity, reheater temperature and the like; judging the overhaul state of the unit by using the on-site overhaul characteristic data; classifying and counting the number of times of the working condition states of the unit by using the classified state data of the unit and the counting period; summarizing and counting the times of the working condition states of the units according to stations, branch companies and groups by using a classified retrieval method; and calculating the non-stop rate after summarizing and counting the working condition state times of the unit according to stations, branch companies and groups by using a classified retrieval method. The method and the device realize the online statistics of the continuous times of the thermal power generating unit under various working conditions.

Description

Method for real-time statistics of times and non-stop rate of multi-working-condition states of thermal power generating unit
Technical Field
The invention relates to an online statistical method for the continuous times and the non-stop rate of multiple working conditions of a thermal power generating unit, in particular to a real-time statistical method for the times and the non-stop rate of the multiple working conditions of the thermal power generating unit.
Background
At present, with the rapid development of power enterprises, the number of installed machines in China is greatly increased, how to promote group managers to know the operation condition of a group unit in time and analyze the operation condition of the group is an important concern direction for group supervision. In the past group supervision information, automatic logic judgment is difficult to realize in maintenance, standby and non-stop states, and manual reporting is mainly used. The method is characterized in that the number of the group supervision units is large, and the efficiency of information supervision is reduced due to the fact that the manual reporting planning time lags and changes and the like, so that an online statistics automatic discrimination program for the continuous times of various working conditions is developed in the existing production real-time supervision system, the conditions of unit starting, stopping, running, standby, non-stopping and overhauling can be automatically discriminated online through the program, and the times of all the states of the unit are classified and counted and the non-stopping rate is calculated online. The system saves a large amount of labor cost for manually reporting the state of the unit and counting and summarizing, improves the efficiency and quality of company production management, enables safety production management personnel to timely know and supervise whether the unit of each power plant is stable and runs economically, and guides safety production in the first time.
Disclosure of Invention
The invention aims to provide a method for carrying out real-time statistics on the number of times of multi-working-condition states and the non-stop rate of a thermal power generating unit so as to solve the problems in the prior art.
The invention is realized by the following technical scheme:
a method for carrying out real-time statistics on the number of times of multi-working-condition states and non-stop rate of a thermal power generating unit comprises the following steps:
step 1: standardizing data label names and acquiring unit power, coal supply quantity, reheater temperature and grid-connected switch states;
step 2: judging the running state of the unit by using the power data and the grid-connected switch state;
and 3, step 3: judging the starting and stopping states of the unit by using the power data and the grid-connected switch state;
and 4, step 4: judging the non-stop and standby states of the unit by using operation historical data such as unit power, coal supply quantity, reheater temperature and the like;
and 5: judging the overhaul state of the unit by using the on-site overhaul characteristic data;
step 6: classifying and counting the number of times of the working condition states of the unit by using the classified state data of the unit and the counting period;
and 7: summarizing and counting the times of the working condition states of the units according to stations, branch companies and groups by using a classified retrieval method;
and 8: and calculating the non-stop rate after summarizing and counting the working condition state times of the unit according to stations, branch companies and groups by using a classified retrieval method.
The further improvement of the invention is that the unified classification processing of the acquired sample data comprises the following steps:
step S101, carrying out standardized naming on data tags, and sequentially combining branch names, station tag names, unit numbers and equipment tags;
and S102, collecting and storing the unit power, the coal supply quantity, the reheater temperature and the grid-connected switch state which are normalized by the data measuring point name into a production process data historical database.
The further improvement of the invention is that the determination of the running state of the unit by using the power data and the grid-connected switch state specifically comprises the following steps:
step S201, acquiring a grid-connected switch state acquisition every set time, wherein a scanning period is set to be 5 minutes, a state sample value S is set to be two state data of 0 and 1, 1 represents switch closing and 0 represents switch tripping, if S is equal to 1, the unit is indicated to keep a running state, and the unit is judged to be in the running state; if S is equal to 0, the unit is kept in a standby state;
step S202, in order to avoid state misjudgment caused by overhaul and closing of a circuit breaker in a unit shutdown period, a unit power value is judged once, in order to avoid measurement errors caused by electromagnetic interference of electric quantity measurement equipment, a unit power threshold value is set to be 1% Se rated capacity, power value R is read at the same time for judgment, and if S is equal to 1 and R is larger than 1% Se, running state data are written into a database.
The further improvement of the invention lies in that the judgment of the starting and stopping states of the unit by using the data set specifically comprises the following steps:
acquiring a grid-connected switch state S in a scanning period, when sample data are inconsistent, indicating that the unit running state sends a change, judging the unit running state at the moment, when the S is changed from 0 to 1, indicating that the unit is changed from a standby state to a starting state, and when the power R of the unit is judged to be greater than 1% Se, writing starting state data into a database; and when S is changed from 1 to 0, indicating that the unit is changed from the operation to the standby state, and writing the data of the shutdown state into the database when the power R of the unit is judged to be less than 1% Se.
The further improvement of the invention is that the method for judging the non-stop and standby states of the unit by using the operation historical data such as the unit power, the coal feeding amount, the reheater temperature and the like specifically comprises the following steps:
step S401, when the motor is judged to be stopped, judging a non-stop state, firstly analyzing power historical data of a previous scanning period, if the average value of sample data acquired in the period is more than or equal to 30% Se, judging the motor to be non-stopped, writing the data in the non-stop state into a database, and if the average value of the sample data acquired in the period is less than 30% Se, primarily judging the motor to be stopped;
step S402, because the load limit values of the units with different capacities are not identical when the units are normally stopped, the completely used load limit values are not accurate enough, the variation quantity of some characteristic operation parameters before the judgment section of S401 is in the stop state is judged again, the coal feeding quantity of the database and the historical data of the scanning period 1 hour before the reheating steam temperature stop are obtained, the average values of the scanning periods 1 hour before the two parameters and 1 hour before the stop are respectively calculated and compared with the variation quantity of each parameter, if the variation quantities are reduced, the normal stop is judged and written into the database, if the variation quantities are not reduced, the normal stop is judged and the non-stop is written into the database, and because the normal stop rules of each plant require that the boiler output is reduced firstly.
The further improvement of the invention is that the method for judging the overhaul state of the unit by using the field characteristic data specifically comprises the following steps:
and after the non-stop state judgment, when the running state of the generator is still in a standby state, continuing to judge the maintenance signal state of the generator, when the maintenance state of the generator is true, judging that the unit is in a maintenance state, and writing maintenance state data into the database, otherwise, when the unit state is still in a standby state, writing the standby state data into the database, and till the data scanning judgment of one period is finished, waiting for the cycle judgment of the next period.
The invention has the further improvement that the state times classification statistics is carried out on the unit by utilizing the unit classification state data and the statistical period, and the method specifically comprises the following steps:
reading the unit state value written in the database in the primary statistical period and writing the data set Dn[s1……sn]Comparing the data in the set state set one by one, if different state samples appear in the state set, indicating that the set state changes once in the scanning period, and writing the change once in the database corresponding to the new changed state record; if D isnThe data elements in the data set are all the same, D shall ben-1Last sample s of the data setnAnd a data set DnFirst sample s of1Making a comparison, if the set elements are different, pressing DnS of the data set1The state is counted once according to the working condition times and written into the database, and if the working condition times are continuously the same, the comparison is stopped.
The invention has the further improvement that the method utilizes a classification retrieval method to collect and count the times of the running states of the units according to stations, branch companies and groups, and specifically comprises the following steps:
classifying the starting times, the shutdown times, the running times, the non-shutdown times, the overhaul times and the standby times of the unit into a data set E according to the statistical periodn[T1,T2,T3,T4,T5,T6]The element T corresponds to the accumulated times of all working conditions of the n-number unit in the statistical period respectively; continue to the E with the same factory station namenSumming the data sets to obtain a summary statistical data set F of each stationn(ii) a Continue to divide data set F with the same company namenSumming to obtain the statistical summary times M of each unit of the branch companynFinally, the data set M is processednSumming to obtain a total times set N of all the units in the groupn[T1,T2,T3,T4,T5,T6]。
The invention has the further improvement that the non-stop rate is calculated after the times of the running stop and the non-stop state of the unit are summarized by utilizing a classified retrieval method according to stations, branch companies and groups, and the method specifically comprises the following steps:
continue to respectively assemble data En、Fn、Mn、NnThe number of statistics in the interior is according to T4/T2And (4) calculating by multiplying 100 to obtain the calculation result of the non-stop rate of the unit, the station, the branch company and the group in the statistical period, namely the non-stop rate is multiplied by 100 by the number of non-stop times in the statistical period/the number of stop times in the statistical period.
The invention has at least the following beneficial technical effects:
1. according to the invention, the field measuring point data labels are standardized before logic processing, and are classified according to the modes of factory station name \ unit name \ equipment name, so that a precondition is provided for automatic cyclic judgment of a program, and automatic judgment of a large number of units in a group becomes possible;
2. the method refers to a startup and shutdown curve of the multi-type thermal power unit, and introduces other important operation parameters such as coal feeding quantity, reheater temperature and the like and performs auxiliary judgment on the shutdown type of the unit by combining normal shutdown rules of each plant besides performing reference comparison judgment on loads according to the shutdown curve;
3. the invention utilizes the real-time database to analyze and compare a large amount of load data when the unit stops and changes working conditions, and also introduces other important parameter historical data before the working conditions of the unit change to adjust, analyze and compare the working conditions, thereby providing a reliability basis for the correct judgment of the non-stop of the unit;
4. the original unit states such as standby, non-stop and maintenance are complex due to logic judgment, and always mainly manual filling, and the method judges the automatic judgment of the multi-working-condition state of the thermal power unit on line in real time according to the operating characteristic data of the thermal power unit, so that a large amount of manual filling time is reduced, the false alarm rate caused by manual filling delay and omission is reduced, and the safety supervision efficiency is improved.
5. According to the invention, the times of various operation states of the unit are counted and summarized by combining a standardized measuring point naming method according to various automatically judged operation states of the unit
6. The invention carries out statistical calculation on the non-stop rate of the unit and improves the supervision of the production manager on the stop quality of the unit.
7. The invention adds data exception handling, gives data exception alarm and improves the reliability of the system.
In conclusion, the method is successfully applied at present, the online statistics of the continuous times of multiple working conditions of the thermal power generating unit is realized, and group production operators on duty can know the operation state and the continuous time of the whole group at the first time, so that the method is effective for the safety production management.
Drawings
Fig. 1 is a plot of the shutdown of a certain module.
Fig. 2 is a flowchart of the present procedure.
Fig. 3 is a diagram showing the effect of a certain division.
Fig. 4 is a diagram of a typical SIS system network configuration.
Fig. 5 is a system data flow diagram.
Detailed Description
Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art. It should be noted that the embodiments and features of the embodiments may be combined with each other without conflict. The present invention will be described in detail below with reference to the embodiments with reference to the attached drawings.
1. Network foundation
Referring to fig. 4, for most power plants at present, a Plant-Level real-time monitoring Information SIS System (Supervisory Information System in Plant Level) of a thermal power Plant is deployed, a group for uploading real-time data of each Plant side is completed by means of the existing SIS System. The SIS network is positioned in the middle layer of the power plant network and plays a role in starting and stopping. At present, the related operation state information of a unit of the system is collected in real time and sent to an SIS network III area mirror database server through an interface machine and a DCS system in a safety I area.
2. System components
Referring to fig. 5, a unit data flow is sent to a group supervision system by using a remote private line from each company to a group through data transmission software developed by my company; the monitoring system is characterized in that a super-fusion all-in-one machine system divides a plurality of virtual machines, and a data ending server, a database server, a website release server and an alarm logic calculation server are deployed; the data end server is responsible for ending the unit state information sent by each plant station, performing measurement point standardization corresponding processing according to the modes of a branch company name, a power plant name, a unit number and an equipment name, writing the data into the real-time database server, the alarm logic processing program is responsible for performing logic processing on the latest unit operation information in real time, judging the latest operation state of the unit and writing the latest operation state into the database, and the release server finally reads and gathers the unit operation state data of each plant station from the database in an intranet website to realize standard management in a graphical display mode. In order to more effectively improve office efficiency, a set of WeChat publishing servers is deployed after an intranet is protected by a gatekeeper, so that a set of group application management software can be deployed on a user mobile phone, and a decision is provided for realizing mobile office and production management of a group.
3. Examples of the embodiments
3.1 calculation scheme, see FIG. 2
Step 1: normalization of data tag names and classification of collected data
Step S101, carrying out standardized naming on data labels, wherein the sequence is as in the shorthand of branch company + station label name + unit number + equipment label, for example, the tripping State of the generator breaker of the unit number 1 of the DL power plant is named as LN.DL.N1.GCB _ State
Step S102, data codes of the site correspond to standard measuring point names as measuring point names, the same station name DL and equipment name GCB _ State are taken as classification conditions, the unit number N is taken as a circular writing condition, and sample data in each interval scanning period is classified and defined to be A1……ANWithin a vector set of, e.g., set A1[s1……sn]Expressed as DL plant # 1 unit generator circuit breaker trip status sample set, [ s ]1……sn]N state home values acquired in a scanning period;
step S103 is to data set ANIs processed, if n is 1, then A is processedN-1The last 1 sample in the dataset is added to set A in chronological orderNIf n is equal to 0, the loop exits if the required data is not obtained, and if the loop is analyzed for 3 times, the system is judged to be in fault if sample data cannot be obtained;
step 2: determination of running and standby states
Step S201 obtains a grid-connected switch state acquisition every set time (a scanning period is set in a program to be 5 minutes, a state sample value S is set to be two state data of 0 and 1, where 1 represents switch closing and 0 represents switch tripping), if S is equal to 1, it indicates that the unit keeps an operating state, and determines that the unit is in the operating state; if S is equal to 0, the unit is kept in a standby state;
step S202 is to avoid state misjudgment caused by maintenance and closing of the circuit breaker during the unit shutdown period, and to simultaneously judge the power value of the unit, and to avoid measurement errors caused by electromagnetic interference of the electric quantity measurement device, a unit power threshold may be set to 1% Se rated capacity and simultaneously read the power value R for judgment, and if S is 1 and R is greater than 1% Se, the operation state data is written into the database.
And step 3: machine set starting and stopping state judgment
Step S301 is to obtain the grid-connected switch state S in the scanning period, when the sample data is inconsistent, the operation state of the unit is changed, and at the moment, the operation state of the unit is judged. When S is changed from 0 to 1, the unit is changed from standby to a starting state, and when the power R of the unit is judged to be greater than 1% Se, starting state data are written into a database; when S is changed from 1 to 0, the unit is changed from running to a standby state, and at the moment, if the power R of the unit is judged to be less than 1% Se, the data of the shutdown state are written into a database;
and 4, step 4: non-stop and standby state judgment of unit
Step S401, after the starting motor is judged to be stopped, judging a non-stop state, firstly analyzing power historical data of a previous scanning period, if the average value of sample data acquired in the period is more than or equal to 30% Se, judging the starting motor to be non-stopped, writing the data in the non-stop state into a database, and if the average value of the sample data acquired in the period is less than 30% Se, primarily judging the starting motor to be stopped;
step S402, because the load limit values of the units with different capacities are not completely the same during normal shutdown, the complete load limit values are not accurate enough, and the variation quantity of some characteristic operation parameters before the judgment section of S401 is in the shutdown state needs to be judged again, the invention needs to obtain the coal feeding quantity of the database and the historical data of the scanning period 1 hour before the reheated steam temperature shutdown, respectively calculates the average value of the scanning periods 1 hour before the two parameters and 1 before the shutdown, respectively compares the respective variation sizes, if the variation values all have the reduction trend, the normal shutdown can be judged, the normal shutdown is written into the database, if the variation values do not have the reduction trend, the normal shutdown can be judged as the non-shutdown, the non-shutdown is written into the database, and because the normal shutdown regulations of each plant require that the boiler output is reduced firstly;
and 5: unit maintenance state determination
Step S501, after the non-stop state is judged, when the running state of the generator is still in a standby state, the generator maintenance signal state is continuously judged, when the generator maintenance state is true, the unit is judged to be in a maintenance state, and maintenance state data are written into a database. Otherwise, the state of the unit is still standby, and the standby state data is written into the database. At present, a unit maintenance signal generally has no automatic signal measuring point at a plant station side, and a maintenance signal value can be obtained according to a generator breaker grounding switch grounding closing signal or a field manual filling plan at present, and the value is assigned to a standard maintenance state measuring point when a measuring point label corresponds to the value. And at this point, finishing the data scanning judgment of one period, and waiting for the cyclic judgment of the next period.
Referring to fig. 5, the unit status values written in the database are displayed in the status icons in corresponding time and color. Step 6, carrying out state time classification statistics on the unit by using the unit classification state data and the statistical period
Step S601 reads a unit state value written in the database in a primary counting period and writes the unit state value into a data set Dn[s1……sn]The data in the set state set are compared successively, if different state samples appear in the state set, the set state in the scanning period is changed once, and the change is written into a database once corresponding to a new changed state record; if D isnThe data elements in the data set are all the same, and should be Dn-1Last sample s of the data setnAnd a data set DnFirst sample s of1Making a comparison, if the set elements are different, pressing DnS of the data set1And performing statistics once to write the statistics into the database, and stopping the comparison if the statistics are continuously the same.
Step 7, summarizing and counting the number of times of the running states of the units according to stations, branch companies and groups by using a classified retrieval method
Step S701 classifies the unit starting times, shutdown times, running times, non-shutdown times, overhaul times and standby times into a data set E according to a statistical periodn[T1,T2,T3,T4,T5,T6]The element T respectively corresponds to the difference of the last statistical value minus the first statistical value in the statistical period; continue to the E with the same factory station namenSumming the data sets to obtain a summary statistical data set F of each stationn(ii) a Continue to divide data set F with the same company namenSumming to obtain the statistical summary times M of each unit of the branch companynFinally, the data set M is processednSumming to obtain a total times set N of all the units in the groupn[T1,T2,T3,T4,T5,T6]
Step 8, calculating the non-stop rate after summarizing and counting the operation state times of the unit according to stations, branch companies and groups by using a classified retrieval method
Step S801 continues to collect data E respectivelyn、Fn、Mn、NnInner statistical number of times T4/T2And x 100, obtaining the calculation result of the non-stop rate of the unit, the station, the branch company and the group in the statistical period (the non-stop rate is the number of non-stop times in the statistical period/the number of stop times in the statistical period x 100).
Although the invention has been described in detail hereinabove with respect to a general description and specific embodiments thereof, it will be apparent to those skilled in the art that modifications or improvements may be made thereto based on the invention. Accordingly, such modifications and improvements are intended to be within the scope of the invention as claimed.

Claims (9)

1. A method for carrying out real-time statistics on the number of times of multi-working-condition states and the non-stop rate of a thermal power generating unit is characterized by comprising the following steps:
step 1: standardizing data label names and acquiring unit power, coal supply quantity, reheater temperature and grid-connected switch states;
step 2: judging the running state of the unit by using the power data and the grid-connected switch state;
and step 3: judging the starting and stopping states of the unit by using the power data and the grid-connected switch state;
and 4, step 4: judging the non-stop and standby states of the unit by using operation historical data such as unit power, coal supply quantity, reheater temperature and the like;
and 5: judging the overhaul state of the unit by using the on-site overhaul characteristic data;
and 6: classifying and counting the number of times of the working condition states of the unit by using the classified state data and the counting period of the unit;
and 7: summarizing and counting the times of the working condition states of the units according to stations, branch companies and groups by using a classified retrieval method;
and 8: and calculating the non-stop rate after summarizing and counting the working condition state times of the unit according to stations, branch companies and groups by using a classified retrieval method.
2. The method for performing real-time statistics on the number of multi-condition states and the non-stop rate of the thermal power generating unit according to claim 1, wherein the step of obtaining sample data for sampling is performed in a unified classification mode, and specifically comprises the following steps:
step S101, carrying out standardized naming on data tags, and sequentially combining branch names, station tag names, unit numbers and equipment tags;
and S102, collecting and storing the unit power, the coal supply quantity, the reheater temperature and the grid-connected switch state which are normalized by the data measuring point name into a production process data historical database.
3. The method for real-time statistics of the number of the multi-condition states and the non-stop rate of the thermal power generating unit according to claim 2 is characterized in that the determination of the unit operation state by using the power data and the grid-connected switch state specifically comprises the following steps:
step S201, acquiring a grid-connected switch state acquisition every set time, wherein a scanning period is set to be 5 minutes, a state sample value S is set to be two state data of 0 and 1, 1 represents switch closing and 0 represents switch tripping, if S is equal to 1, the unit is indicated to keep a running state, and the unit is judged to be in the running state; if S is equal to 0, the unit is kept in a standby state;
step S202, in order to avoid state misjudgment caused by maintenance and closing of a circuit breaker in a unit shutdown period, a unit power value is judged once, in order to avoid measurement errors caused by electromagnetic interference of electric quantity measurement equipment, a unit power threshold value is set to be 1% Se rated capacity, and meanwhile, a power value R is read for judgment, and if S is equal to 1 and R is larger than 1% Se, running state data are written into a database.
4. The method for real-time statistics of the number of times of the multi-condition state and the non-stop rate of the thermal power generating unit according to claim 3, wherein the determination of the starting state and the stop state of the thermal power generating unit by using the data set specifically comprises the following steps:
acquiring a grid-connected switch state S in a scanning period, when sample data are inconsistent, indicating that the unit running state sends a change, judging the unit running state at the moment, when the S is changed from 0 to 1, indicating that the unit is changed from a standby state to a starting state, and when the power R of the unit is judged to be more than 1% Se, writing starting state data into a database; and when S is changed from 1 to 0, the unit is changed from the running state to the standby state, and the shutdown state data is written into the database when the power R of the unit is judged to be less than 1% Se.
5. The method for real-time statistics of the number of times of multi-condition states and the non-stop rate of the thermal power generating unit according to claim 4, wherein the method for determining the non-stop state and the standby state of the thermal power generating unit by using operation historical data such as unit power, coal supply quantity, reheater temperature and the like specifically comprises the following steps:
step S401, when the motor is judged to be stopped, judging a non-stop state, firstly analyzing power historical data of a previous scanning period, if the average value of sample data acquired in the period is more than or equal to 30% Se, judging the motor to be non-stopped, writing the data in the non-stop state into a database, and if the average value of the sample data acquired in the period is less than 30% Se, primarily judging the motor to be stopped;
step S402, because the load limit values of the units with different capacities are not identical when the units are normally shut down, the completely used load limit values are not accurate enough, the variation quantity of some characteristic operation parameters before the judgment section of S401 is in the shutdown state is judged again, the historical data of the coal feeding quantity of the database and the scanning period 1 hour before the reheating steam temperature shutdown are obtained, the average values of the scanning periods 1 hour before the two parameters and 1 hour before the shutdown are calculated respectively, the variation quantities of the parameters are compared respectively, if the variation quantities are reduced, the normal shutdown is judged, the normal shutdown is written into the database, if the variation quantities are not reduced, the normal shutdown is judged, the non-shutdown is written into the database, and the boiler output is required to be reduced firstly by the normal shutdown rules of each plant.
6. The method for carrying out real-time statistics on the number of times of multi-working-condition states and the non-stop rate of a thermal power generating unit according to claim 5, wherein the method for judging the overhaul state of the thermal power generating unit by using the field characteristic data specifically comprises the following steps of:
and after the non-stop state judgment, when the running state of the generator is still in a standby state, continuing to judge the maintenance signal state of the generator, when the maintenance state of the generator is true, judging that the unit is in a maintenance state, and writing maintenance state data into the database, otherwise, when the unit state is still in a standby state, writing the standby state data into the database, and till the data scanning judgment of one period is finished, waiting for the cycle judgment of the next period.
7. The method for carrying out real-time statistics on the number of multi-working-condition states and the non-stop rate of the thermal power generating unit according to claim 6 is characterized in that the method for carrying out state number classification statistics on the thermal power generating unit by using unit classification state data and a statistic period specifically comprises the following steps:
reading the unit state value written in the database in the primary statistical period and writing the data set Dn[s1......sn]The data in the set state set are compared successively, if different state samples appear in the state set, the set state in the scanning period is changed once, and the change is written into a database once corresponding to a new changed state record; if D isnThe data elements in the data set are all the same, and should be Dn-1Last sample s of the data setnAnd a data set DnFirst sample s of1Making a comparison, if the set elements are different, pressing DnS of the data set1The state is counted once according to the working condition times and written into the database, and if the working condition times are continuously the same, the comparison is stopped.
8. The method for carrying out real-time statistics on the number of times of the multi-working-condition states and the non-stop rate of the thermal power generating unit according to claim 7, wherein the method for carrying out summary statistics on the number of times of the operating states of the thermal power generating unit according to stations, branches and groups by using a classified retrieval method specifically comprises the following steps of:
classifying the starting times, the shutdown times, the running times, the non-shutdown times, the overhaul times and the standby times of the unit into a data set E according to the statistical periodn[T1，T2，T3，T4，T5，T6]The element T corresponds to the accumulated times of all working conditions of the n-number unit in the statistical period respectively; continue to the E with the same station namenSumming the data sets to obtain a summary statistical data set F of each stationn(ii) a Continue to divide data set F with the same company namenSumming to obtain the statistical summary times M of each unit of the branch companynFinally, the data set M is processednSumming to obtain a total times set N of all the units in the groupn[T1，T2，T3，T4，T5，T6]。
9. The method for real-time statistics of the number of times of the multi-condition state and the non-stop rate of the thermal power generating unit according to claim 8, wherein the non-stop rate is calculated by a classification retrieval method after the number of times of the operation stop and the non-stop state of the thermal power generating unit is summarized according to stations, branch companies and groups, and the method specifically comprises the following steps:
continue to respectively assemble the data En、Fn、Mn、NnThe number of statistics in the interior is according to T4/T2X 100 calculation to obtain the calculation result of the non-stop rate of the unit, station, branch company and group in the statistical period, i.e. the non-stop rate is the number of non-stops in the statistical period/in the statistical periodThe number of stops × 100.
CN202210211813.XA 2022-03-04 2022-03-04 Method for real-time statistics of times and non-stop rate of multi-working-condition states of thermal power generating unit Pending CN114564518A (en)

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