A Prediction Method for the Icing Degree of Catenary Based on Growth Coefficient

Abstract

The present invention discloses a method for predicting the icing degree of catenary based on growth coefficients. By building an experimental platform for catenary icing, changing the internal environmental parameters of the experimental chamber and measuring the change of the icing thickness of the contact wire, the icing growth coefficients of the contact wire with respect to temperature, humidity, rainfall and wind speed are calculated. Furthermore, the prediction coefficient of the catenary icing degree is calculated, and the catenary icing risk is predicted according to the prediction coefficient of the icing degree. The present invention uses the icing growth coefficient and the prediction coefficient of the icing degree to predict the catenary icing risk, and can quickly predict the catenary icing risk in a future period according to the catenary icing situation in a short period of time in the early stage, providing a basis for maintenance personnel to take corresponding preventive and response measures in a timely manner.

Description

Technical Field

[0001] The invention belongs to the field of catenary icing risk prediction and assessment, and in particular relates to a method for predicting catenary icing degree based on a growth coefficient. Technical Background

[0002] With the rapid development of my country's railway rail transit modernization, the contact network, as an important part of the railway electrification system, plays a key role in traction power supply. However, in cold and humid climate conditions, the contact network is easily affected by icing, which not only damages the carbon plate of the pantograph, but also affects the current collection of the pantograph network, resulting in unstable power supply. In addition, the shedding of ice may also cause the contact line to dance, and even cause irreversible damage such as broken wires. Therefore, the icing problem has become an important issue affecting railway transportation safety and operational reliability, and it is of great significance to evaluate and predict the risk of icing on the contact network.

[0003] At present, there is a relative lack of methods for predicting the degree of catenary icing. Traditional prediction of catenary icing mainly relies on empirical judgment, but this method has problems such as strong subjectivity and low accuracy. Therefore, there is an urgent need for a prediction method for the degree of catenary icing, which can quickly predict the icing risk of the catenary in the future, provide a basis for maintenance personnel to take corresponding preventive and response measures in a timely manner, and improve the accuracy and reliability of the prediction of the degree of catenary icing. Summary of the invention

[0004] In view of the above technical problems, the purpose of the present invention is to propose a method for predicting the icing degree of the contact network based on the growth coefficient, which can effectively predict the icing condition of the contact network;

[0005] The technical solution for implementing the present invention is as follows:

[0006] The first step is to build an experimental platform for catenary icing;

[0007] The contact network icing experimental platform is composed of a wind speed simulation system (1), a temperature controller (2), a humidity controller (3), a high-definition camera (4), a rainfall simulation system (5), a wind speed sensor (6), a temperature sensor (7), a humidity sensor (8), a support tower (9), a contact line (10), a computer terminal (11) and an experimental box (12), wherein:

[0008] The internal environmental parameters of the experimental chamber (12) are adjusted by controlling the wind speed simulation system (1), temperature controller (2), humidity controller (3), and rainfall simulation system (5) through a computer terminal (11); a wind speed sensor (6) is installed at the air outlet of the wind speed simulation system (1) to measure the wind speed; a temperature sensor (7) and a humidity sensor (8) are installed on the right surface of the inner wall of the experimental chamber (12) to monitor the internal environmental temperature and humidity of the experimental chamber (12) in real time and return the temperature and humidity data to the computer terminal (11); a high-definition camera (4) is installed on the right side of the inner wall of the experimental chamber (12) to monitor the icing condition of the catenary (10) and record relevant parameters and return them to the computer terminal (11).

[0009] Step 2: Calculate the icing growth coefficient of the catenary with respect to temperature change.

[0010] First, obtain the environmental parameters around the catenary during the icing period of a certain section of the catenary in winter; obtain the actual environmental temperature around the catenary during the icing period according to the operation record, and record the highest temperature as T max , and record the lowest temperature as T min , and record the average temperature as , with the unit of K; obtain the actual relative environmental humidity, record the highest relative environmental humidity as RH max , and record the lowest relative environmental humidity as RH min , and record the average relative environmental humidity as Obtain the actual rainfall, record the maximum rainfall as P max , and record the minimum rainfall as P min , and record the average rainfall as , with the unit of mm; obtain the actual wind speed, record the maximum wind speed as V max , and record the minimum wind speed as V min , and record the average wind speed as , with the unit of m / s.

[0011] Take 5 groups of evenly increasing experimental temperatures as T i , with the unit of K, where T1 = T min , T5 = T max ; conduct a simulated icing experiment on the catenary in the experimental chamber, set the temperature of the experimental chamber as T i , the average relative environmental humidity as the average rainfall as the average wind speed as When the internal environment of the experimental chamber is stable, start timing, and the experimental time is t k , with the unit of h; observe the icing condition of the catenary through the high-definition camera, and record the icing thickness of the catenary every , denoted as a ij , indicating that when the experimental temperature is T iAt this time, the icing thickness of the catenary for the j-th measurement, where i = 1, 2, 3, 4, 5; j = 1, 2, 3, 4, 5, 6;

[0012] Calculate the icing growth coefficient of the catenary with respect to temperature change using formula (1):

[0013]

[0014] Step 3: Calculate the icing growth coefficient of the catenary with respect to humidity change;

[0015] Take 5 sets of uniformly increasing relative ambient humidity as RH i , where RH1 = RH min , RH5 = RH max ; Conduct a simulated icing experiment on the catenary in the experimental chamber, set the relative ambient humidity to RH i , the average temperature of the experimental chamber is The average rainfall is The average wind speed is Start timing when the internal environment of the experimental chamber is stable, the experimental time is t k , with the unit of h; Observe the icing situation of the catenary through a high-definition camera, and record the icing thickness of the catenary every , denoted as b ij , indicating the icing thickness of the catenary for the j-th measurement when the relative ambient humidity is RH i , where i = 1, 2, 3, 4, 5; j = 1, 2, 3, 4, 5, 6;

[0016] Calculate the icing growth coefficient of the catenary with respect to humidity change using formula (2):

[0017]

[0018] Step 4: Calculate the icing growth coefficient of the catenary with respect to rainfall change;

[0019] Take 5 sets of uniformly increasing rainfall amounts as P i , with the unit of mm, where P1 = P min , P5 = P max ; Conduct a simulated icing experiment on the catenary in the experimental chamber, set the rainfall amount to P i , the average temperature of the experimental chamber is The average relative ambient humidity is The average wind speed is Start timing when the internal environment of the experimental chamber is stable, the experimental time is t k , with the unit of h; Observe the icing situation of the catenary through a high-definition camera, and record the icing thickness of the catenary every , denoted as c ij, indicating that when the rainfall is P i , the ice thickness on the contact wire for the j-th measurement, where i = 1, 2, 3, 4, 5; j = 1, 2, 3, 4, 5, 6;

[0020] Calculate the ice accretion growth coefficient of the contact wire with respect to the change in rainfall using formula (3):

[0021]

[0022] Step 5: Calculate the ice accretion growth coefficient of the contact wire with respect to the change in wind speed;

[0023] Take 5 groups of uniformly increasing wind speeds as V i , with the unit of m / s, where V1 = V min , V5 = V max ; Conduct a simulated ice accretion experiment on the contact wire in the experimental chamber, set the wind speed to V i , the average temperature of the experimental chamber is the average relative environmental humidity is the average rainfall is Start timing after the internal environment of the experimental chamber stabilizes, and the experimental time is t k , with the unit of h; Observe the ice accretion situation of the contact wire through a high-definition camera, and record the ice thickness of the contact wire every , denoted as d ij , indicating that when the wind speed is V i , the ice thickness on the contact wire for the j-th measurement, where i = 1, 2, 3, 4, 5; j = 1, 2, 3, 4, 5, 6;

[0024] Calculate the ice accretion growth coefficient of the contact wire with respect to the change in wind speed using formula (4):

[0025]

[0026] Step 6: Calculate the ice accretion degree prediction coefficient of the contact wire;

[0027] Calculate the ice accretion degree prediction coefficient of the contact wire using formula (5):

[0028]

[0029] Step 7: Predict the ice accretion risk of the catenary according to the ice accretion degree prediction coefficient of the contact wire.

[0030] If η ≤ 0.36, the measured catenary has a low ice accretion risk in the future period; if 0.36 < η ≤ 1.71, the measured catenary has a moderate ice accretion risk in the future period; if 1.71 < η, the measured catenary has a high ice accretion risk in the future period.

[0031] The beneficial effects of the present invention are as follows. By building an icing experiment platform for catenary, the effects of temperature, humidity, rainfall and wind speed on catenary icing are simulated. Combining two parameters, namely the icing growth coefficient and the icing degree prediction coefficient, a method for predicting the icing degree of catenary based on the growth coefficient is provided. It can effectively predict the icing risk of the catenary in a future period according to the icing situation of the catenary in a short period of time in the early stage, providing a basis for maintenance personnel to take corresponding preventive and countermeasures in a timely manner. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] Figure 1 Figure 6 shows the built icing experiment platform for catenary;

[0033] Figure 2 Figure 10 shows the flowchart of a method for predicting the icing degree of catenary based on the growth coefficient. DETAILED DESCRIPTION OF THE INVENTION

[0034] The present invention will be further described below in conjunction with the drawings and the specific implementation process.

[0035] The first step is to build an icing experiment platform for catenary;

[0036] The icing experiment platform for catenary is composed of a wind speed simulation system (1), a temperature controller (2), a humidity controller (3), a high-definition camera (4), a rainfall simulation system (5), a wind speed sensor (6), a temperature sensor (7), a humidity sensor (8), a support tower (9), a catenary wire (10), a computer terminal (11) and an experimental box (12), where:

[0037] The internal environmental parameters of the experimental box (12) are adjusted by controlling the wind speed simulation system (1), the temperature controller (2), the humidity controller (3) and the rainfall simulation system (5) through the computer terminal (11); the wind speed sensor (6) is installed at the air outlet of the wind speed simulation system (1) for measuring the wind speed; the temperature sensor (7) and the humidity sensor (8) are installed on the right surface of the inner wall of the experimental box (12) for real-time monitoring of the internal environmental temperature and humidity of the experimental box (12) and returning the temperature and humidity data to the computer terminal (11); the high-definition camera (4) is installed on the right side of the inner wall of the experimental box (12) for monitoring the icing situation of the catenary wire (10) and recording relevant parameters and returning them to the computer terminal (11);

[0038] The second step: calculate the icing growth coefficient of the catenary wire with respect to temperature change;

[0039] First, obtain the environmental parameters around the catenary wire during the icing period in winter in a certain section; obtain the actual environmental temperature around the catenary wire during the icing period according to the operation records, the highest temperature is denoted as T max , the lowest temperature is denoted as T min , and the average temperature is denoted as The unit is K; obtain the actual relative environmental humidity, and record the highest relative environmental humidity as RH max , and record the lowest relative environmental humidity as RH min , and record the average relative environmental humidity as Obtain the actual rainfall, and record the maximum rainfall as P max , and record the minimum rainfall as P min , and record the average rainfall as The unit is mm; obtain the actual wind speed, and record the maximum wind speed as V max , and record the minimum wind speed as V min , and record the average wind speed as The unit is m / s;

[0040] Take 5 groups of uniformly increasing experimental temperatures as T i , the unit is K, where T1 = T min , T5 = T max ; conduct a simulated icing experiment on the catenary in the experimental chamber, and set the temperature of the experimental chamber as T i , the average relative environmental humidity as the average rainfall as the average wind speed as When the internal environment of the experimental chamber is stable, start timing, and the experimental time is t k , the unit is h; observe the icing condition of the catenary through a high-definition camera, and record the icing thickness of the catenary every , and record it as a ij , indicating the icing thickness of the catenary measured at the jth time when the experimental temperature is T i , where i = 1, 2, 3, 4, 5; j = 1, 2, 3, 4, 5, 6;

[0041] Use formula (1) to calculate the icing growth coefficient of the catenary with respect to temperature change:

[0042]

[0043] Step 3: Calculate the icing growth coefficient of the catenary with respect to humidity change;

[0044] Take 5 groups of uniformly increasing relative environmental humidities as RH i , where RH1 = RH min , RH5 = RH max ; conduct a simulated icing experiment on the catenary in the experimental chamber, and set the relative environmental humidity as RH i , the average temperature of the experimental chamber as the average rainfall as the average wind speed as When the internal environment of the experimental chamber is stable, start timing, and the experimental time is t k, with the unit of h; Observe the icing condition of the catenary through a high-definition camera, and record the icing thickness of the catenary every time, denoted as b ij , indicating the icing thickness of the catenary measured at the jth time when the relative environmental humidity is RH i , where i = 1, 2, 3, 4, 5; j = 1, 2, 3, 4, 5, 6;

[0045] Calculate the icing growth coefficient of the catenary with respect to humidity change using formula (2):

[0046]

[0047] Step 4: Calculate the icing growth coefficient of the catenary with respect to rainfall change;

[0048] Take 5 groups of uniformly increasing rainfall amounts as P i , with the unit of mm, where P1 = P min , P5 = P max ; Conduct a simulated icing experiment on the catenary in the experimental chamber, set the rainfall amount to P i , the average temperature of the experimental chamber is the average relative environmental humidity is the average wind speed is Start timing after the internal environment of the experimental chamber stabilizes, and the experimental time is t k , with the unit of h; Observe the icing condition of the catenary through a high-definition camera, and record the icing thickness of the catenary every time, denoted as c ij , indicating the icing thickness of the catenary measured at the jth time when the rainfall amount is P i , where i = 1, 2, 3, 4, 5; j = 1, 2, 3, 4, 5, 6;

[0049] Calculate the icing growth coefficient of the catenary with respect to rainfall change using formula (3):

[0050]

[0051] Step 5: Calculate the icing growth coefficient of the catenary with respect to wind speed change;

[0052] Take 5 groups of uniformly increasing wind speeds as V i , with the unit of m / s, where V1 = V min , V5 = V max ; Conduct a simulated icing experiment on the catenary in the experimental chamber, set the wind speed to V i , the average temperature of the experimental chamber is the average relative environmental humidity is the average rainfall amount is Start timing after the internal environment of the experimental chamber stabilizes. The experimental time is t k , with the unit of h; Observe the icing condition of the catenary through a high-definition camera, and record the icing thickness of the catenary every time, denoted as d ij , indicating the icing thickness of the catenary at the jth measurement when the wind speed is V i , where i = 1, 2, 3, 4, 5; j = 1, 2, 3, 4, 5, 6;

[0053] Calculate the icing growth coefficient of the catenary with respect to the wind speed change using formula (4):

[0054]

[0055] Step 6: Calculate the prediction coefficient of the catenary icing degree;

[0056] Calculate the prediction coefficient of the catenary icing degree using formula (5):

[0057]

[0058] Step 7: Predict the icing risk of the catenary according to the prediction coefficient of the catenary icing degree.

[0059] If η ≤ 0.36, the measured catenary has a mild icing risk in the future period; if 0.36 < η ≤ 1.71, the measured catenary has a moderate icing risk in the future period; if 1.71 < η, the measured catenary has a severe icing risk in the future period.

Claims

1. A method for predicting the icing degree of catenary based on growth coefficient, characterized in that It includes the following steps: The first step is to build an experimental platform for catenary icing; The experimental platform for catenary icing is composed of a wind speed simulation system (1), a temperature controller (2), a humidity controller (3), a high-definition camera (4), a rainfall simulation system (5), a wind speed sensor (6), a temperature sensor (7), a humidity sensor (8), a support tower (9), a catenary wire (10), a computer terminal (11), and an experimental box (12), where: The computer terminal (11) is used to control the wind speed simulation system (1), the temperature controller (2), the humidity controller (3), and the rainfall simulation system (5) to adjust the internal environmental parameters of the experimental box (12); the wind speed sensor (6) is installed at the air outlet of the wind speed simulation system (1) to measure the wind speed; the temperature sensor (7) and the humidity sensor (8) are installed on the right side surface of the inner wall of the experimental box (12) to monitor the internal environmental temperature and humidity of the experimental box (12) in real time and return the temperature and humidity data to the computer terminal (11); the high-definition camera (4) is installed on the right side of the inner wall of the experimental box (12) to monitor the icing condition of the catenary wire (10) and record relevant parameters and return them to the computer terminal (11); The second step: Calculate the icing growth coefficient of the catenary wire with respect to temperature changes; First, obtain the environmental parameters around the catenary wire during the winter icing period in a certain section; obtain the actual ambient temperature around the catenary wire during the icing period according to the operation records, and record the highest temperature as T max , and record the lowest temperature as T min , and record the average temperature as in the unit of K; obtain the actual relative ambient humidity, and record the highest relative ambient humidity as RH max , and record the lowest relative ambient humidity as RH min , and record the average relative ambient humidity as Obtain the actual rainfall, and record the maximum rainfall as P max , and record the minimum rainfall as P min , and record the average rainfall as in the unit of mm; obtain the actual wind speed, and record the maximum wind speed as V max , and record the minimum wind speed as V min , and record the average wind speed as in the unit of m / s; Take 5 groups of uniformly increasing experimental temperatures as T i , in units of K, where T1 = T min , T5 = T max ; Conduct a simulated icing experiment on the catenary in the experimental chamber, set the temperature of the experimental chamber to T i , the average relative humidity to the average rainfall to and the average wind speed to Start timing after the internal environment of the experimental chamber stabilizes, and the experimental time is t k , in units of h; Observe the icing condition of the catenary through a high-definition camera, and record the icing thickness of the catenary every , denoted as a ij , representing the icing thickness of the catenary measured at the jth time when the experimental temperature is T i , where i = 1, 2, 3, 4, 5; j = 1, 2, 3, 4, 5, 6; Use formula (1) to calculate the icing growth coefficient of the catenary wire with respect to temperature changes: The third step: Calculate the icing growth coefficient of the catenary wire with respect to humidity changes; Select 5 groups of uniformly increasing relative environmental humidity as RH i , where RH1 = RH min , RH5 = RH max ; Conduct a simulated icing experiment on the catenary in the experimental chamber, set the relative environmental humidity to RH i , the average temperature of the experimental chamber is The average rainfall is The average wind speed is Start timing after the internal environment of the experimental chamber stabilizes, and the experimental time is t k , with the unit of h; Observe the icing condition of the catenary through a high-definition camera, and record the icing thickness of the catenary every , denoted as b ij , indicating the icing thickness of the catenary measured at the jth time when the relative environmental humidity is RH i , where i = 1, 2, 3, 4, 5; j = 1, 2, 3, 4, 5, 6; Use formula (2) to calculate the icing growth coefficient of the catenary wire with respect to humidity changes: The fourth step: Calculate the icing growth coefficient of the catenary wire with respect to rainfall changes; Take 5 groups of uniformly increasing rainfall amounts, which are P i , with the unit of mm, where P1 = P min , P5 = P max ; Conduct a simulated icing experiment on the catenary in the experimental box, set the rainfall amount to P i , the average temperature of the experimental box is , the average relative environmental humidity is , and the average wind speed is Start timing after the internal environment of the experimental box stabilizes. The experimental time is t k , with the unit of h; Observe the icing situation of the catenary through a high-definition camera, and record the icing thickness of the catenary every , denoted as c ij , representing the icing thickness of the catenary measured at the jth time when the rainfall amount is P i , where i = 1, 2, 3, 4, 5; j = 1, 2, 3, 4, 5, 6; Use formula (3) to calculate the icing growth coefficient of the catenary wire with respect to rainfall changes: The fifth step: Calculate the icing growth coefficient of the catenary wire with respect to wind speed changes; Take 5 groups of uniformly increasing wind speeds, which are V i , with the unit of m / s, where V1 = V min , V5 = V max ; Conduct a simulated icing experiment on the catenary in the experimental chamber, set the wind speed to V i , the average temperature of the experimental chamber is The average relative environmental humidity is The average rainfall is Start timing after the internal environment of the experimental chamber is stable. The experimental time is t k , with the unit of h; Observe the icing condition of the catenary through a high-definition camera, and record the icing thickness of the catenary every time, denoted as d ij , indicating the icing thickness of the catenary measured at the jth time when the wind speed is V i , where i = 1, 2, 3, 4, 5; j = 1, 2, 3, 4, 5, 6; Use formula (4) to calculate the icing growth coefficient of the catenary wire with respect to wind speed changes: The sixth step: Calculate the prediction coefficient of the catenary wire icing degree; Use formula (5) to calculate the prediction coefficient of the catenary wire icing degree: The seventh step: Predict the catenary icing risk based on the prediction coefficient of the catenary wire icing degree.

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