CN101806925A - Frost prediction for railway catenary - Google Patents

Frost prediction for railway catenary Download PDF

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Publication number
CN101806925A
CN101806925A CN201010120354A CN201010120354A CN101806925A CN 101806925 A CN101806925 A CN 101806925A CN 201010120354 A CN201010120354 A CN 201010120354A CN 201010120354 A CN201010120354 A CN 201010120354A CN 101806925 A CN101806925 A CN 101806925A
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CN
China
Prior art keywords
frost
monitor terminal
water vapor
prediction
monitoring unit
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Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN201010120354A
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Chinese (zh)
Inventor
段成明
杨勇
张智祥
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Beijing Jiaxun Feihong Electrical Co Ltd
Original Assignee
Beijing Jiaxun Feihong Electrical Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Beijing Jiaxun Feihong Electrical Co Ltd filed Critical Beijing Jiaxun Feihong Electrical Co Ltd
Priority to CN201010120354A priority Critical patent/CN101806925A/en
Publication of CN101806925A publication Critical patent/CN101806925A/en
Pending legal-status Critical Current

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Abstract

The invention predicts whether a catenary is frosted in the next day by arranging related sensors along the railway, collecting the weather phenomenon, and combining the weather forecast. The invention can predict the frost of the catenary in advance and early warns and notifies railway maintenance workers to adopt effective measures for preventing the catenary from having an accident due to the frost.

Description

Frost prediction for railway catenary
Technical field
The invention belongs to the railway anti-disaster field, relate in particular to a kind of system and algorithm of frost prediction for railway catenary.
Background technology
Contact net is the transmission line of electricity to the special shape of electric locomotive power supply that set up in the downline sky.Contact net frost is the weak link of railway protection, and frost may cause that the contact net dielectric level descends, and causes contact net frequently to discharge, and is the hidden danger of railway security.
General, contact net prevents that the method for frost from having spraying anti freezing solution or indirect heating, this method is after finding contact net generation frost, the remedial measures of carrying out, the technology that present still unmatchful railway contact line frost is predicted.
Summary of the invention
The invention provides a kind of system of frost prediction for railway catenary, it is characterized in that, comprise monitor terminal, monitoring unit, automatic weather station, contact net thermometer and sunshine radiometer;
Wherein, described automatic weather station, contact net thermometer with sunshine radiometer be connected with described monitoring unit respectively;
Described monitoring unit is connected with described monitor terminal.
Described automatic weather station, contact net thermometer and sunshine radiometer the weather information that collects is sent to described monitoring unit.
Described monitoring unit directly is uploaded to monitor terminal after receiving and gathering weather information.
Described monitoring unit has serial ports and network interface.
Described monitor terminal is stored, is analyzed weather information, and whether decision triggers the frost warning.
Described monitor terminal possesses the ability of a plurality of monitoring units of management.
Described monitor terminal receives weather forecast information.
Described monitor terminal possesses network interface.
The invention provides a kind of algorithm of frost prediction for railway catenary, it is characterized in that, may further comprise the steps:
Step 1: judge whether weather on the secondth is sunny:, change step 2 if sunny; Otherwise frost will not take place in prediction;
Step 2: predict whether the lowest temperature on the secondth is lower than 0.5 ℃:, change step 3 if be lower than; Otherwise frost will not take place in prediction;
Step 3: calculate water vapor supersaturation amount;
Step 4: if water vapor supersaturation amount for just, frost will take place in prediction; Otherwise frost will not take place in prediction.
Described calculating water vapor supersaturation amount be today at dusk water vapor concentration and early morning on the secondth steam-laden concentration difference;
Described today, water vapor concentration was at dusk:
a 1 = 2.167 e s 1 ( RH 1 / 100 ) T 1 ,
Described second day early morning, steam-laden concentration was:
a 2 = 2.167 e s 2 T 2 - 3 ;
Wherein, T 1, RH 1, e S1Be respectively the today of temperature, humidity, temperature T at dusk 1The time Saturated water vapor pressure; e S2Be temperature (T 2-3) Saturated water vapor pressure the time.
The present invention can predict contact net frost in advance, and early warning notice railroad maintenance personnel adopt an effective measure and prevent that contact net is owing to frost has an accident.
Description of drawings
Below in conjunction with accompanying drawing the present invention is elaborated:
Fig. 1 is frost prediction for railway catenary system framework figure;
Fig. 2 is the frost prediction for railway catenary algorithm flow chart.
Embodiment
The frost prediction system as shown in Figure 1.Field apparatus by automatic weather station, contact net thermometer and sunshine radiometer form, use automatic weather station more widely in the present meteorological industry, gather railway weather information along the line by meteorological sensor: six key elements such as wind speed, wind direction, temperature, air pressure, humidity, rainfall, and directly outwards be sent to monitoring unit by digital interface.Monitoring unit is gathered these sensor informations, and information is sent to monitor terminal, after monitor terminal receives data, in conjunction with weather forecast information, contact net frost situation is analyzed and is predicted, and show and predict the outcome.
Monitoring unit can adopt highly reliable industrial computer, and perhaps embedded board machine, monitoring unit are not done on-the-spot storage, directly upload after the data acquisition, analyzes at monitor terminal, warning and information stores, and monitoring unit need have electric interfaces such as serial ports, network interface.
Monitor terminal is highly reliable server, possesses the ability of a plurality of control points of management, and monitor terminal requires to store the data about 3 months simultaneously.
The contact net thermometer is used to measure the contact net temperature, has been provided with during circuit stringing, does not need extra setting, if do not have, can realize by modes such as infrared temperature measurement apparatus.
The interface configuration of field apparatus is:
-automatic weather station transmits spot sensor information to monitoring unit, is the RS485 interface;
-monitoring unit is to monitor terminal, transmit collection in worksite after handling arrive data, be network interface;
-monitor terminal receives weather forecast information to meteorological department, is network interface.
Prediction algorithm has merged meteorological theory, weather forecast information, and railway contact line characteristic, and combine the long-term observation data, algorithm flow is as shown in Figure 2.
Frost generation and temperature, humidity, wind speed are relevant with the radiation at sunshine, and three conditions that frost produces are:
1) sunny early morning;
2) temperature is lower, and experience shows that it is bigger to produce the frost probability when temperature is lower than 0.5 ℃;
3) water vapor supersaturation.
Under the prerequisite of second condition, if according to the previous day of the water vapor concentration and the estimating temperature in second day early morning at dusk, calculate airborne water vapor supersaturation, then frost may take place in second day.

Claims (10)

1. the system of a frost prediction for railway catenary is characterized in that, comprise monitor terminal, monitoring unit, automatic weather station, contact net thermometer and sunshine radiometer;
Wherein, described automatic weather station, contact net thermometer with sunshine radiometer be connected with described monitoring unit respectively;
Described monitoring unit is connected with described monitor terminal.
2. the method for claim 1 is characterized in that, described automatic weather station, contact net thermometer and sunshine radiometer the weather information that collects is sent to described monitoring unit.
3. method as claimed in claim 1 or 2 is characterized in that, described monitoring unit directly is uploaded to monitor terminal after receiving and gathering weather information.
4. as each described method in the claim 1 to 3, it is characterized in that described monitoring unit has serial ports and network interface.
5. the method for claim 1 is characterized in that, described monitor terminal is stored, analyzed weather information, and whether decision triggers the frost warning.
6. as claim 1 or 5 described methods, it is characterized in that described monitor terminal possesses the ability of a plurality of monitoring units of management.
7. as claim 1,5 or 6 described methods, it is characterized in that described monitor terminal receives weather forecast information.
8. as claim 1,5,6 or 7 described methods, it is characterized in that described monitor terminal possesses network interface.
9. the algorithm of a frost prediction for railway catenary is characterized in that, may further comprise the steps:
Step 1: judge whether weather on the secondth is sunny:, change step 2 if sunny; Otherwise frost will not take place in prediction;
Step 2: predict whether the lowest temperature on the secondth is lower than 0.5 ℃:, change step 3 if be lower than; Otherwise frost will not take place in prediction;
Step 3: calculate water vapor supersaturation amount;
Step 4: if water vapor supersaturation amount for just, frost will take place in prediction; Otherwise frost will not take place in prediction.
10. method as claimed in claim 9 is characterized in that, described calculating water vapor supersaturation amount be today at dusk water vapor concentration and early morning on the secondth steam-laden concentration difference;
Described today, water vapor concentration was at dusk:
a 1 = 2.167 e s 1 ( RH 1 / 100 ) T 1 ,
Described second day early morning, steam-laden concentration was:
a 2 = 2.167 e s 2 T 2 - 3 ;
Wherein, T 1, RH 1, e S1Be respectively the today of temperature, humidity, temperature T at dusk 1The time Saturated water vapor pressure; e S2Be temperature (T 2-3) Saturated water vapor pressure the time.
CN201010120354A 2010-03-05 2010-03-05 Frost prediction for railway catenary Pending CN101806925A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201010120354A CN101806925A (en) 2010-03-05 2010-03-05 Frost prediction for railway catenary

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201010120354A CN101806925A (en) 2010-03-05 2010-03-05 Frost prediction for railway catenary

Publications (1)

Publication Number Publication Date
CN101806925A true CN101806925A (en) 2010-08-18

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Application Number Title Priority Date Filing Date
CN201010120354A Pending CN101806925A (en) 2010-03-05 2010-03-05 Frost prediction for railway catenary

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CN (1) CN101806925A (en)

Cited By (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102221714A (en) * 2011-03-11 2011-10-19 钱维宏 Medium-range forecast system and method for low temperature, rain and snow and freezing weather based on atmospheric variable physical decomposition
CN102305951A (en) * 2011-06-09 2012-01-04 民航数据通信有限责任公司 Data processing system and method for judging great weather change
CN103605173A (en) * 2013-11-22 2014-02-26 无锡信大气象传感网科技有限公司 Observation apparatus and method for ground coagulation weather phenomenon
CN107463950A (en) * 2017-07-18 2017-12-12 西南交通大学 A kind of contact net failure prediction method influenceed based on outside weather environment
CN109006417A (en) * 2015-04-10 2018-12-18 胡斯华纳有限公司 The watering system of adaptable component
WO2019192168A1 (en) * 2018-04-04 2019-10-10 中车太原机车车辆有限公司 Monitoring cabinet for catenary work car
CN111596385A (en) * 2020-05-14 2020-08-28 上海眼控科技股份有限公司 Message generation method, device and system

Cited By (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102221714A (en) * 2011-03-11 2011-10-19 钱维宏 Medium-range forecast system and method for low temperature, rain and snow and freezing weather based on atmospheric variable physical decomposition
CN102221714B (en) * 2011-03-11 2013-10-23 钱维宏 Medium-range forecast system and method for low temperature, rain and snow and freezing weather based on atmospheric variable physical decomposition
CN102305951A (en) * 2011-06-09 2012-01-04 民航数据通信有限责任公司 Data processing system and method for judging great weather change
CN102305951B (en) * 2011-06-09 2014-01-08 民航数据通信有限责任公司 Data processing system and method for judging great weather change
CN103605173A (en) * 2013-11-22 2014-02-26 无锡信大气象传感网科技有限公司 Observation apparatus and method for ground coagulation weather phenomenon
CN109006417A (en) * 2015-04-10 2018-12-18 胡斯华纳有限公司 The watering system of adaptable component
US11039583B2 (en) 2015-04-10 2021-06-22 Husqvarna Ab Watering system with adaptive components
CN107463950A (en) * 2017-07-18 2017-12-12 西南交通大学 A kind of contact net failure prediction method influenceed based on outside weather environment
CN107463950B (en) * 2017-07-18 2021-01-29 西南交通大学 Contact network fault prediction method based on external meteorological environment influence
WO2019192168A1 (en) * 2018-04-04 2019-10-10 中车太原机车车辆有限公司 Monitoring cabinet for catenary work car
CN111596385A (en) * 2020-05-14 2020-08-28 上海眼控科技股份有限公司 Message generation method, device and system

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Application publication date: 20100818