CN101776212A - Pipeline temperature detection and abnormal temperature data reject method and system - Google Patents
Pipeline temperature detection and abnormal temperature data reject method and system Download PDFInfo
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Abstract
The invention relates to a pipeline temperature detection and abnormal temperature data reject method and a system. The method comprises the following steps: (1) a thermoelectric couple is used for collecting the internal temperature of a pipeline, the temperature data is transmitted to a computer, Grubbs program programmed inside the computer is used for processing the temperature data so as to judge whether the temperature data has abnormal data, and the abnormal data is rejected; (2) a staggered-form arranging grouping and batching estimation program inside the computer is used for processing the consistent temperature data which is obtained after the error is rejected, the consistent temperature data is divided into two groups according to the installation position of sensors (staggered-form arranging and grouping), the batching estimation method is adopted for the average value of the two groups of data so as to estimate a fusion value which is close to the real value of the integral temperature of the pipeline. The detection method and the system are simple and easy, can flexibly, rapidly, reliably and instantly detect the situation of the integral temperature inside the pipeline, and provide a reliable and practical detection solution to the pipelines of different types. The detection method and the system are mainly used for the real-time monitoring and process and safety control technology of the interior of the pipeline.
Description
Technical field
The present invention relates to the method and system that a kind of pipe interior bulk temperature detects in real time and the abnormal temperature data are rejected.
Background technique
In recent years, along with the development of sensor technology, the kind of sensor constantly updates, and performance constantly improves, and multisensor Data Fusion technology also more and more is subject to people's attention.This Study on Technology derives from military field, and present data fusion technology has been widely used in numerous areas such as industrial process monitoring, robot, weather forecast, marine surveillance, integrated navigation and biomedical engineering.It is with from the in addition integrated treatment of the information of a plurality of or multiple sensors and data that multi-sensor data merges, compare with the result who only utilizes single-sensor to measure acquisition, can estimate the value of measured parameter more accurately, thereby reduce the error that in information processing, may occur.Because the effect of some uncontrollable enchancement factors in the difference of the residing orientation of sensor difference, sensor sole mass and the actual environment, make the survey data of each sensor can not reflect the truth of things fully, therefore the key of data fusion is that the authenticity of each sensor gained data is differentiated, find out the correlation between the different sensors data, thereby determine the data of which sensor are merged.
Ducted thermometry for the operational application of whole system, prevent owing to excessive pipeline burst that causes of heat-transfer working medium pressure etc. plays an important role.Because pipeline is the heat insulation effect difference everywhere, adds that external environment changes at any time, cause whole heat transfer pipe temperature distributing disproportionation even, therefore need multiple spot to gather sample and provide a relatively accurate measured temperature.Yet method in the past mostly is to get the mean value of all the sensors measured temperature, makes incorrect or when being subjected to certain interference, measurement result can not correctly reflect virtual condition when the data of operative sensor.
Summary of the invention
The objective of the invention is to overcome the deficiency during the aforementioned tube channel temp is measured, a kind of method and system that pipe interior bulk temperature higher using value, simple detects and the abnormal temperature data are rejected that has is provided.
The present invention adopts the Grubbs method in the statistics to judge abnormal data, then the conformity data cross after the rejecting abnormalities data is arranged grouping, and uses the estimation technique in batches to estimate comparatively data near actual value.The present invention is used for pipe interior bulk temperature detection system with this method.Concrete technological scheme is as follows:
(1) utilize thermocouple to gather the pipeline inside temperature, and temperature data is transferred to computer, the Grubbs method program of writing in the utilization computer comes these temperature datas are handled, and judges whether temperature data has abnormal data, then deletes if abnormal data occurs.
(2) use again the staggered form write in the computer arrange grouping and in batches the estimation routine conformity temperature data that will after Grubbs method deletion error, obtain handle, (relative and adjacent sensor is not at same group to be divided into two groups by its sensor mounting point, be that staggered form is arranged grouping), mean value to these two groups of data adopts the estimation technique in batches, estimates the fusion value near pipeline bulk temperature actual value.
System of the present invention constitutes: the equidistant point-to-point formula of thermocouple is arranged in the pipeline, the multi channel testing controller is connected with thermocouple, the multi channel testing controller is connected with the RS232/RS485 transducer by the RS485 bus, and the RS232/RS485 transducer connects computer again.The point-to-point formula of thermocouple arranges it is with two upper and lower or left and right placements of thermocouple, and the alignment form that forms a line is carried out the pipe temperature measurement.
Thermocouple is used for the measuring channel temperature signal; Multi channel testing controller (being the A/D modular converter, analog amount/data volume modular converter) is used for being used with thermocouple multi way temperature is gone the rounds detection, data capture and communication; The RS485 bus is used to realize that the A/D modular converter is connected with computer.The RS232/RS485 transducer, being used for the RS485 signal conversion is the RS232 signal; And the pipe temperature data that collected are handled the rejecting abnormalities temperature data and estimate pipeline bulk temperature value accurately.
The invention has the beneficial effects as follows:
1, solved in pipe detection because sensor failure or sensor are interfered and make checkout value produce the deficiency of very big error;
2, pipeline bulk temperature real-time detection method is simple, can be in time, sensitive, detect temperature regime in the pipeline reliably, and provide pipeline bulk temperature value more accurately rapidly, system response time is fast, real-time is higher.
Detecting method of the present invention all has for a lot of fields can reference and the value of application, such as the temperature acquisition in the greenhouse, and horizontal pipe, vertical tube thermometry and damp monitoring etc.
Description of drawings
Fig. 1 is an overall system block diagram of the present invention;
Fig. 2 is thermocouple sensor distribution map of the present invention and numbering; (A-pipeline, the last heat extraction galvanic couple of B-, heat extraction galvanic couple under the C-.)
Fig. 3 is a trace routine flow chart of the present invention.
Embodiment
Further specify flesh and blood of the present invention below in conjunction with accompanying drawing and example, but content of the present invention is not limited to this.
Embodiment: one section fluid line of certain factory, arrange detection system according to the mode of accompanying drawing 1, pipeline inner fluid diabatic process is detected in real time.System comprises: 12 thermocouples are arranged (two upper and lower or left and right placements of thermocouple, the alignment form of a line of formation) according to the equidistant point-to-point formula of the mode of accompanying drawing 2, and thermocouple is used for the measuring channel temperature signal; Multi channel testing controller (being the A/D modular converter, analog amount/data volume modular converter) is connected with thermocouple, is used for being used with thermocouple multi way temperature is gone the rounds detection, data capture and communication; The multi channel testing controller is connected with the RS232/RS485 transducer by the RS485 bus, and the RS485 bus is used to realize that the A/D modular converter links to each other with computer, and it is the RS232 signal that the RS232/RS485 transducer is used for the RS485 signal conversion; Computer is handled the pipe temperature data that collected come the suppressing exception temperature data and is estimated pipeline bulk temperature value accurately.
According to the trace routine flow process shown in the accompanying drawing 3, by thermocouple and multi channel testing controller, it is as shown in table 1 to gather certain temperature data (utilizing thermocouple and multi channel testing controller to obtain) constantly:
Many thermocouple measuring temperature data of table 1 (unit: ℃)
(Grubbs method program is utilization VC to use the Grubbs method program of writing in the computer to delete the exceptional value of temperature data then, be that Microsoft Visual C++ software carries out programming development), if find the temperature anomaly data, as shown in table 2 then with its deletion:
Cross arrangement group result after the table 2 temperature data rejecting abnormalities value (unit: ℃)
Use again the staggered form write in the computer arrange grouping and in batches estimation technique program come staggered form to arrange grouping and estimate the rejecting abnormalities data after the conformity data (staggered form arrange grouping and in batches estimation technique program be utilization VC, be that Microsoft visual c++ software carries out programming development), finally obtain pipe temperature fusion value, as shown in table 3, and then detecting the pipe interior situation, whole process repeats down always.This detecting method and system are simple, can detect bulk temperature situation in the pipeline sensitive, fast, reliably, in real time, for various types of pipelines provide a kind of reliable and practical detection scheme.
The final fusion results of table 3 temperature data (unit: ℃)
Claims (2)
1. a pipeline bulk temperature detects and the method for abnormal temperature data rejecting, it is characterized in that:
(1) utilize thermocouple to gather the pipeline inside temperature, and temperature data is transferred to computer, the Grubbs method program of writing in the utilization computer comes these temperature datas are handled, and judges whether temperature data has abnormal data, then deletes if abnormal data occurs;
(2) staggered form write in the computer of utilization arrange grouping and in batches the estimation routine conformity temperature data that will after Grubbs method deletion error, obtain handle, thermocouple is divided into staggered form and arranges two groups of installations, mean value to these two groups of data adopts the estimation technique in batches, estimates the fusion value near pipeline bulk temperature actual value.
2. a pipe temperature detects and the system of abnormal temperature data rejecting, it is characterized in that: the equidistant point-to-point formula of thermocouple is arranged in the pipeline, the multi channel testing controller is connected with thermocouple, the multi channel testing controller is connected with the RS232/RS485 transducer by the RS485 bus, and the RS232/RS485 transducer connects computer again.
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Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102226873A (en) * | 2011-03-29 | 2011-10-26 | 东北大学 | Power supply apparatus and control method for hot petroleum pipeline leakage detection system |
| CN104214521A (en) * | 2014-08-27 | 2014-12-17 | 上海云逸能源系统有限公司 | Novel pipeline and fluid conveying pipeline for seabed |
| CN105953841A (en) * | 2016-06-27 | 2016-09-21 | 黔南民族师范学院 | Humiture detection system based on LabVIEW platform |
| CN106709242A (en) * | 2016-12-07 | 2017-05-24 | 常州大学 | Method for identifying authenticity of sewage monitoring data |
| CN107830610A (en) * | 2017-09-19 | 2018-03-23 | 珠海格力电器股份有限公司 | A kind of air conditioning control method, device, storage medium and air-conditioning |
| CN109556876A (en) * | 2018-11-07 | 2019-04-02 | 国网浙江省电力有限公司电力科学研究院 | A kind of diagnostic method for distinguishing gas turbine combustion failure and passage of heat equipment fault |
| CN109959862A (en) * | 2019-03-12 | 2019-07-02 | 杭州长川科技股份有限公司 | A kind of integrated circuit test device real time temperature monitoring system and method |
| CN112362179A (en) * | 2020-11-05 | 2021-02-12 | 甄十信息科技（上海）有限公司 | Method and device for detecting temperature of back cover of watch case of wearable device |
| CN112926391A (en) * | 2021-01-26 | 2021-06-08 | 中车长春轨道客车股份有限公司 | Motor train unit gearbox monitoring temperature filtering method and device |
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| CN1616970A (en) * | 2004-09-02 | 2005-05-18 | 公安部沈阳消防研究所 | Multiple information data collecting device and method for fire early property |
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Cited By (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102226873A (en) * | 2011-03-29 | 2011-10-26 | 东北大学 | Power supply apparatus and control method for hot petroleum pipeline leakage detection system |
| CN102226873B (en) * | 2011-03-29 | 2012-10-17 | 东北大学 | Power supply apparatus and control method for hot petroleum pipeline leakage detection system |
| CN104214521A (en) * | 2014-08-27 | 2014-12-17 | 上海云逸能源系统有限公司 | Novel pipeline and fluid conveying pipeline for seabed |
| CN105953841A (en) * | 2016-06-27 | 2016-09-21 | 黔南民族师范学院 | Humiture detection system based on LabVIEW platform |
| CN106709242B (en) * | 2016-12-07 | 2018-12-07 | 常州大学 | A method of identifying the sewage monitoring data true and false |
| CN106709242A (en) * | 2016-12-07 | 2017-05-24 | 常州大学 | Method for identifying authenticity of sewage monitoring data |
| CN107830610A (en) * | 2017-09-19 | 2018-03-23 | 珠海格力电器股份有限公司 | A kind of air conditioning control method, device, storage medium and air-conditioning |
| CN109556876A (en) * | 2018-11-07 | 2019-04-02 | 国网浙江省电力有限公司电力科学研究院 | A kind of diagnostic method for distinguishing gas turbine combustion failure and passage of heat equipment fault |
| CN109556876B (en) * | 2018-11-07 | 2020-09-04 | 国网浙江省电力有限公司电力科学研究院 | Diagnosis method for distinguishing combustion fault of gas turbine and fault of hot channel equipment |
| CN109959862A (en) * | 2019-03-12 | 2019-07-02 | 杭州长川科技股份有限公司 | A kind of integrated circuit test device real time temperature monitoring system and method |
| CN112362179A (en) * | 2020-11-05 | 2021-02-12 | 甄十信息科技（上海）有限公司 | Method and device for detecting temperature of back cover of watch case of wearable device |
| CN112926391A (en) * | 2021-01-26 | 2021-06-08 | 中车长春轨道客车股份有限公司 | Motor train unit gearbox monitoring temperature filtering method and device |
| CN112926391B (en) * | 2021-01-26 | 2022-07-22 | 中车长春轨道客车股份有限公司 | Motor train unit gearbox monitoring temperature filtering method and device |
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Application publication date: 20100714 |