CN102032548A - Over-temperature risk indicator-based boiler heating surface monitoring method - Google Patents
Over-temperature risk indicator-based boiler heating surface monitoring method Download PDFInfo
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- CN102032548A CN102032548A CN 201010528854 CN201010528854A CN102032548A CN 102032548 A CN102032548 A CN 102032548A CN 201010528854 CN201010528854 CN 201010528854 CN 201010528854 A CN201010528854 A CN 201010528854A CN 102032548 A CN102032548 A CN 102032548A
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Abstract
The invention discloses an over-temperature risk indicator-based boiler heating surface monitoring method. The method comprises the following steps of: 1) constructing a boiler heating surface parameter and a wall temperature measurement point information table; 2) setting a wall temperature alarm threshold of each section of furnace tube according to the type of a furnace tube material of a heating surface; 3) reading wall temperature data of the heating surface in real time; 4) judging a data state, namely switching to a step 5) when an over-temperature process is started, switching to a step 6) in the over-temperature process, switching to a step 7) after the over-temperature process is finished, and switching to the step 3) if the data is normal; 5) forming a new out-of-limit record and recording related information; 6) calculating an over-temperature risk value of the current over-temperature process, accumulating the over-temperature risk values of the part, and switching to the step 3); and 7) finishing the current out-of-limit process, forming a complete out-of-limit record and switching to the step 3). By the method, an indicator in an over-temperature degree, namely an over-temperature risk, is accurately evaluated; and a calculation method has a strict theoretical basis, so the over-temperature risk evaluation of the heating surface is fast, accurate and evidence-based.
Description
Technical field
The invention belongs to power plant boiler heating surface overtemperature monitoring field, be specifically related to a kind of boiler heating surface monitoring method based on the overtemperature risk indicator, this method can be used for the accumulative total influence of all previous overtemperature of overall merit to heating surface, and the guidance technology personnel grasp the risk ranking at each position of heating surface.
Background technology
The power plant boiler heating surface mainly comprises water-cooling wall, superheater, reheater, and it is heated as the high temperature and high pressure steam that meets the demands by absorbing radiant heat, the advection heat of furnace high-temperature flue gas with the steam medium in the pipe.Reasons such as, tube panel fault of construction improper owing to operation, foreign matter obstruction cause cigarette temperature deviation and steam flow inequality through regular meeting, and then cause part boiler tube overtemperature even booster, badly influence the safe operation of boiler.So for a long time, the wall temperature monitoring is that the operations staff of power plant carries out the most effective means of heating surface security monitoring always.
Numerous in recent years research institutions and power plant have launched extensive studies to the wall temperature monitoring technology of boiler heating surface, document " development of Utility Boiler Superheater wall temperature on-line monitoring system; power science and engineering 2004 (2) ", " superheater reheater wall temperature on-line monitoring technique is in the life-span Application in Monitoring; east china electric power 2004 (7) ", " wall temperature on-line monitoring in the overtemperature problem of the big Capacity Power Plant Boilers superheater of high parameter reheater and the stove; thermal power generation 2010 (2) ", " several key takeaways of ultra supercritical 1000MW boiler type selecting; power engineering 2006 (4) " have all introduced boiler heating surface wall temperature monitoring technology, but these technology all are from improving the wall temperature monitoring accuracy, the angle that makes up real-time monitoring system conducts a research, and has the following disadvantages:
Above-mentioned literature research in MIS net, make up the wall temperature real-time monitoring system, and that in fact monitor the heating surface wall temperature in real time in power plant is the operations staff, they carry out this work by the DCS control system of central station of floating dock, rather than the real-time monitoring system in the MIS net.
Wall temperature real-time monitoring system in the MIS net is equipment control and maintainer's service, and what they paid close attention to is not the real-time monitoring and the warning of heating surface wall temperature, but all previous overtemperature is to the influence of heating surface state.They need a comprehensive evaluation index to reflect the accumulative total influence of each all previous overtemperature in position, finish the risk ranking at each position, and then optimize the heating surface repair schedule.
But the information that existing system provides only limits to the duration, amplitude, time started, concluding time of all previous overtemperature etc., does not see that still pertinent literature proposes the index of the overall merit overtemperature order of severity and accumulative total influence.Cause the technical staff can only be according to the order of severity of each position overtemperature of experience rough estimate, the conclusion difference that different people draws be bigger.
Summary of the invention
The present invention is directed to defective or deficiency that prior art exists, it is the index that monitoring system does not provide the overall merit overtemperature order of severity and accumulative total influence, be difficult to satisfy equipment control and maintainer and carry out the need of work of each position risk ranking of heating surface, propose a kind of boiler heating surface monitoring method based on the overtemperature risk indicator.
For achieving the above object, method of the present invention is: by catching the information of all previous overtemperature, utilize the overtemperature risk indicator to estimate its influence degree, its step is as follows:
1) makes up boiler heating surface parameter and wall temperature measuring point information table;
2), set the wall temperature alarming threshold value of each section boiler tube according to heating surface furnace tube material type;
3) read heating surface wall temperature data in real time;
4) data mode is judged: just begun overtemperature and changed 5 over to); Change 6 in the overtemperature process); Overtemperature finishes to change 7 over to); Data normally then change 3 over to);
5) form the new record that transfinites, recording-related information;
6) calculate the overtemperature value-at-risk of this overtemperature, and the overtemperature value-at-risk at this position of accumulative total, change 3 over to);
7) finishing this transfinites, and forms a complete record that transfinites, and changes 3 over to).
The described heating surface wall temperature data that read in real time are meant by the time interval of setting and read the current wall temperature data of heating surface that from power plant creation data storehouse or file these data are in 24 hours * 7 days continuous non-stop run states.
Described data mode judgement is meant according to wall temperature alarming threshold value T0 judges epicycle data mode Sta
nBe overtemperature state or normal condition, and in conjunction with on take turns data mode Sta
N-1, if epicycle data mode Sta
n=overtemperature, and go up wheel data mode Sta
N-1=normal, then just begun overtemperature, forms a new overtemperature record, the record overtemperature time started, this takes turns the overtemperature amplitude information, calculating overtemperature value-at-risk;
If epicycle data mode Sta
n=overtemperature, and go up wheel data mode Sta
N-1=overtemperature then is in the overtemperature process, writes down this and takes turns the overtemperature amplitude information, calculates the overtemperature value-at-risk;
If epicycle data mode Sta
n=normal, and go up wheel data mode Sta
N-1=overtemperature, then overtemperature finishes, record overtemperature concluding time information;
If Sta
n=normal, Sta
N-1=normal, then epicycle is not done any operation.
The overtemperature value-at-risk of described this overtemperature of calculating is meant carries out Comprehensive Assessment to the overtemperature situation of respectively taking turns data in the complete overtemperature process once, forms an index of estimating the overtemperature order of severity, i.e. overtemperature value-at-risk, and it is defined as follows:
S＝F(n，dT，t)(1)
In the following formula: S=overtemperature value-at-risk;
N=overtemperature number of times;
DT=overtemperature amplitude;
The t=overtemperature duration;
And the computing formula of certain overtemperature risk is as follows:
In the following formula: S=overtemperature value-at-risk;
DT
iThe overtemperature amplitude of i wheel data in the=overtemperature process;
Dt=reads the wall temperature data time at interval, or claims sample frequency;
The wheel number that this overtemperature of m=continues;
Add up by value-at-risk, obtain monitoring the overtemperature value-at-risk of the current accumulative total in position each time overtemperature:
In the following formula: S
Always=current accumulative total overtemperature value-at-risk;
S
iThe value-at-risk of=the i time overtemperature;
The number of times of overtemperature takes place in n=monitoring position in history.
The present invention proposes the index of estimating the overtemperature order of severity and accumulative total influence: from equipment control and attendant's work requirements, taking all factors into consideration on overtemperature amplitude, overtemperature duration, the isoparametric basis of overtemperature number of times, this evaluation index of overtemperature risk has been proposed.It can describe the degree of each time overtemperature quantitatively, and can help grasping the risk ranking at each position of heating surface, and then optimize repair schedule by the reflection monitoring position overall risk of all overtemperatures in history that adds up.By 24 (hour) * 7 (my god) continuous uninterrupted monitoring and statistics, accurately catch all overtemperature information that heating surface takes place, calculate overtemperature risk and aggregate-value automatically.Better guides user is grasped the excessive risk position of heating surface, the present invention also provides abundant graphical monitoring function, comprise heating surface temperature field curve, wall temperature location map, historical temperature field, the inquiry of overtemperature risk and ordering, assist the evaluation heating surface state of power plant's science.
Description of drawings
Fig. 1 is an overtemperature Risk Calculation method schematic diagram.
The specific embodiment
Below in conjunction with accompanying drawing the present invention is described in further detail.
Step of the present invention is as follows:
1) makes up boiler heating surface parameter and wall temperature measuring point information table;
2), set the wall temperature alarming threshold value of each section boiler tube according to heating surface furnace tube material type;
3) read heating surface wall temperature data in real time;
4) data mode is judged: just begun overtemperature, changed 5 over to); In the overtemperature process, change 6 over to); Overtemperature finishes to change 7 over to); Data are normal, then change 3 over to);
5) form the new record that transfinites, recording-related information;
6) calculate the overtemperature value-at-risk of this overtemperature, and the overtemperature value-at-risk at this position of accumulative total, change 3 over to);
7) finishing this transfinites, and forms a complete record that transfinites, and changes 3 over to).
The heating surface wall temperature data that read in real time of the present invention are meant by the time interval of setting (as 1 minute) and read the current wall temperature data of heating surface from power plant's creation data storehouse (or file).It is in 24 (hour) * 7 (my god) non-stop run state continuously.
Described data mode is judged, is meant according to wall temperature alarming threshold value T0 and judges epicycle data mode Sta
nBe overtemperature state or normal condition, and in conjunction with on take turns data mode Sta
N-1, if Sta
n=overtemperature, and Sta
N-1=normal, then just begun overtemperature, forms a new overtemperature record, the record overtemperature time started, this takes turns information such as overtemperature amplitude, calculating overtemperature value-at-risk; If Sta
n=overtemperature, Sta
N-1=overtemperature then is in the overtemperature process, writes down this and takes turns information such as overtemperature amplitude, calculates the overtemperature value-at-risk; If Sta
n=normal, Sta
N-1=overtemperature, then overtemperature finishes, information such as record overtemperature concluding time.If Sta
n=normal, Sta
N-1=normal, then epicycle is not done any operation.
This overtemperature value-at-risk of described calculating is meant the overtemperature situation of respectively taking turns data in the complete overtemperature process is once carried out Comprehensive Assessment, forms the index of estimating the overtemperature order of severity, i.e. an overtemperature value-at-risk.It is defined as follows:
S＝F(n，dT，t)(1)
In the following formula: S=overtemperature risk;
N=overtemperature number of times;
DT=overtemperature amplitude;
The t=overtemperature duration.
From (1) formula as can be seen the overtemperature value-at-risk be the amplitude of comprehensive overtemperature number of times, each overtemperature, calculation of parameter such as the duration index that draw, that be used to estimate the overtemperature order of severity of each overtemperature.Its calculation method is seen Fig. 1.As shown in Figure 1, the essence of overtemperature risk is exactly the area of each overtemperature representative among the unit running process figure, shown in red area, it with the factor of influential overtemperature consequence take into account: information such as overtemperature duration, overtemperature amplitude.The computing formula of certain overtemperature risk is as follows:
In the following formula:
S=overtemperature value-at-risk;
DT
iThe overtemperature amplitude of i wheel data in the=overtemperature process;
Dt=reads the wall temperature data time at interval, or claims sample frequency;
The wheel number that this overtemperature of m=continues.
Add up by value-at-risk, can obtain monitoring the overtemperature value-at-risk of the current accumulative total in position each time overtemperature:
In the following formula: S
Always=current accumulative total overtemperature value-at-risk;
S
iThe value-at-risk of=the i time overtemperature;
The number of times of overtemperature takes place in n=monitoring position in history.
Can finish the monitoring of overtemperature risk and the risk ranking at each position of heating surface by above-mentioned steps.
The present invention compared with prior art has following characteristics:
1. it is more scientific accurately to estimate the overtemperature impact
The traditional monitoring method only is the information such as the overtemperature number of times of heating surface, overtemperature duration, overtemperature amplitude peak of adding up, and the user does not have unified standard or method to go to estimate the degree of overtemperature in the face of the lot of statistics data, more can't grasp the accumulative total impact of each time overtemperature. This has directly affected the user of power plant and has carried out heating surface risk assessment and ordering work. The present invention proposes the index of accurate evaluation overtemperature degree-overtemperature risk, its computational methods have strict theoretical foundation, make heating surface overtemperature risk assessment work quick, accurate and evidence-based.
Claims (4)
1. boiler heating surface monitoring method based on the overtemperature risk indicator, it is characterized in that: by catching the information of all previous overtemperature, index-overtemperature the risk of overall merit heating surface overtemperature accumulative total influence utilizes the overtemperature risk indicator to estimate its order of severity, comprises the steps:
1) makes up boiler heating surface parameter and wall temperature measuring point information table;
2), set the wall temperature alarming threshold value of each section boiler tube according to heating surface furnace tube material type;
3) read heating surface wall temperature data in real time;
4) data mode is judged: just begun overtemperature and changed 5 over to); Change 6 in the overtemperature process); Overtemperature finishes to change 7 over to); Data normally then change 3 over to);
5) form the new record that transfinites, recording-related information;
6) calculate the overtemperature value-at-risk of this overtemperature, and the overtemperature value-at-risk at this position of accumulative total, change 3 over to);
7) finishing this transfinites, and forms a complete record that transfinites, and changes 3 over to).
2. the boiler heating surface monitoring method based on the overtemperature risk indicator according to claim 1, it is characterized in that: the described heating surface wall temperature data that read in real time, be meant by the time interval of setting and read the current wall temperature data of heating surface from power plant creation data storehouse or file, these data are in 24 hours * 7 days continuous non-stop run states.
3. the boiler heating surface monitoring method based on the overtemperature risk indicator according to claim 1 is characterized in that: described data mode judgement is meant according to wall temperature alarming threshold value T0 judges epicycle data mode Sta
nBe overtemperature state or normal condition, and in conjunction with on take turns data mode Sta
N-1, if epicycle data mode Sta
n=overtemperature, and go up wheel data mode Sta
N-1=normal, then just begun overtemperature, forms a new overtemperature record, the record overtemperature time started, this takes turns the overtemperature amplitude information, calculating overtemperature value-at-risk;
If epicycle data mode Sta
n=overtemperature, and go up wheel data mode Sta
N-1=overtemperature then is in the overtemperature process, writes down this and takes turns the overtemperature amplitude information, calculates the overtemperature value-at-risk;
If epicycle data mode Sta
n=normal, and go up wheel data mode Sta
N-1=overtemperature, then overtemperature finishes, record overtemperature concluding time information;
If Sta
n=normal, Sta
N-1=normal, then epicycle is not done any operation.
4. the boiler heating surface monitoring method based on the overtemperature risk indicator according to claim 1, it is characterized in that: the overtemperature value-at-risk of described this overtemperature of calculating is meant carries out Comprehensive Assessment to the overtemperature situation of respectively taking turns data in the complete overtemperature process once, form an index of estimating the overtemperature order of severity, be the overtemperature value-at-risk, it is defined as follows:
S＝F(n，dT，t)(1)
In the following formula: S=overtemperature value-at-risk;
N=overtemperature number of times;
DT=overtemperature amplitude;
The t=overtemperature duration;
And the computing formula of certain overtemperature risk is as follows:
In the following formula: S=overtemperature value-at-risk;
DT
iThe overtemperature amplitude of i wheel data in the=overtemperature process;
Dt=reads the wall temperature data time at interval, or claims sample frequency;
The wheel number that this overtemperature of m=continues;
Add up by value-at-risk, obtain monitoring the overtemperature value-at-risk of the current accumulative total in position each time overtemperature:
In the following formula: S
Always=current accumulative total overtemperature value-at-risk;
S
iThe value-at-risk of=the i time overtemperature;
The number of times of overtemperature takes place in n=monitoring position in history.
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| CN2010105288549A CN102032548B (en) | 2010-11-03 | 2010-11-03 | Over-temperature risk indicator-based boiler heating surface monitoring method |
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| CN2010105288549A CN102032548B (en) | 2010-11-03 | 2010-11-03 | Over-temperature risk indicator-based boiler heating surface monitoring method |
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| CN102032548A true CN102032548A (en) | 2011-04-27 |
| CN102032548B CN102032548B (en) | 2012-05-23 |
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Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2013091487A1 (en) * | 2011-12-19 | 2013-06-27 | 上海望特能源科技有限公司 | Method for monitoring inside-boiler dynamic wall temperature of power plant boiler high-temperature piping system |
| CN105476464A (en) * | 2015-11-19 | 2016-04-13 | 珠海格力电器股份有限公司 | Detection method and device of electric pressure cooker |
| CN106439775A (en) * | 2016-09-12 | 2017-02-22 | 西安西热电站信息技术有限公司 | Boiler pipe foreign matter blockage online monitoring method based on temperature characteristic parameters |
| CN109521735A (en) * | 2018-10-25 | 2019-03-26 | 云达世纪（北京）科技有限公司 | Boiler high temperature heating surface use state risk online evaluation method and system |
| CN110360541A (en) * | 2019-07-12 | 2019-10-22 | 河北涿州京源热电有限责任公司 | Thermal power plant's DCS system boiler high temperature heating surface abnormal conditions Online statistics method |
| CN110779005A (en) * | 2019-11-11 | 2020-02-11 | 福能(贵州)发电有限公司 | Dynamic monitoring and alarming system for wall temperature of boiler |
| CN112949734A (en) * | 2021-03-12 | 2021-06-11 | 上汽通用五菱汽车股份有限公司 | Component thermal damage evaluation method and system based on temperature data processing and storage medium |
| CN114088138A (en) * | 2021-10-30 | 2022-02-25 | 国家能源集团华北电力有限公司廊坊热电厂 | Power plant over-temperature and over-pressure monitoring system based on measuring points |
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Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2013091487A1 (en) * | 2011-12-19 | 2013-06-27 | 上海望特能源科技有限公司 | Method for monitoring inside-boiler dynamic wall temperature of power plant boiler high-temperature piping system |
| CN105476464A (en) * | 2015-11-19 | 2016-04-13 | 珠海格力电器股份有限公司 | Detection method and device of electric pressure cooker |
| CN106439775A (en) * | 2016-09-12 | 2017-02-22 | 西安西热电站信息技术有限公司 | Boiler pipe foreign matter blockage online monitoring method based on temperature characteristic parameters |
| CN109521735A (en) * | 2018-10-25 | 2019-03-26 | 云达世纪（北京）科技有限公司 | Boiler high temperature heating surface use state risk online evaluation method and system |
| CN110360541A (en) * | 2019-07-12 | 2019-10-22 | 河北涿州京源热电有限责任公司 | Thermal power plant's DCS system boiler high temperature heating surface abnormal conditions Online statistics method |
| CN110779005A (en) * | 2019-11-11 | 2020-02-11 | 福能(贵州)发电有限公司 | Dynamic monitoring and alarming system for wall temperature of boiler |
| CN110779005B (en) * | 2019-11-11 | 2021-11-23 | 福能(贵州)发电有限公司 | Dynamic monitoring and alarming system for wall temperature of boiler |
| CN112949734A (en) * | 2021-03-12 | 2021-06-11 | 上汽通用五菱汽车股份有限公司 | Component thermal damage evaluation method and system based on temperature data processing and storage medium |
| CN114088138A (en) * | 2021-10-30 | 2022-02-25 | 国家能源集团华北电力有限公司廊坊热电厂 | Power plant over-temperature and over-pressure monitoring system based on measuring points |
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