CN114089046A - ZPW-2000 series track circuit compensation capacitance parameter estimation method and device - Google Patents
ZPW-2000 series track circuit compensation capacitance parameter estimation method and device Download PDFInfo
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Abstract
The invention discloses a ZPW-2000 series track circuit compensation capacitance parameter estimation method and device, and relates to the technical field of railway signal equipment fault processing. The method comprises the following steps: when the compensation capacitance parameter estimation is carried out by utilizing the actual measurement data of the induction voltage of the locomotive, firstly, sample data is preprocessed, the capacitance quality parameter of the compensation capacitance is used as a decision variable, the difference between the minimized induction voltage amplitude enveloping actual data and the induction voltage amplitude enveloping theoretical data calculated based on a mathematical model is used as a target, a fitness function is constructed, and according to the characteristics that a gray wolf optimization algorithm is insensitive to an initial solution value, the optimization efficiency is high, the global optimization performance is good and the like, the gray wolf optimization algorithm is adopted to search the optimal compensation capacitance parameter value in an iteration mode, the compensation capacitance parameter estimation of the ZPW-2000 series track circuit can be realized, and the adaptability and the accuracy are high.
Description
Technical Field
The invention relates to the technical field of railway signal equipment fault processing, in particular to a ZPW-2000 series track circuit compensation capacitance parameter estimation method and a ZPW-2000 series track circuit compensation capacitance parameter estimation device.
Background
The track circuit is a circuit which takes a steel rail as a conductor and is used for automatically and continuously detecting whether a line is occupied by a vehicle or not, and meanwhile, control information is transmitted to the train. A ZPW-2000 series of uninsulated track circuits commonly adopted by high-speed railways in China are additionally provided with compensation capacitors on tracks, so that the transmission characteristics of the tracks tend to be resistive. Factors such as surge voltage of a traction section, thunder and lightning and a track current skin effect can cause the fault of a compensation capacitor, the transmission characteristic of a track circuit is deteriorated due to the fault of the compensation capacitor, the effective transmission distance of a track signal is shortened, and the fault of a red light band is caused. Therefore, the method for providing the fault diagnosis for the maintenance personnel has important practical significance.
At present, a railway signal dynamic detection system is widely applied, and the system is arranged on a comprehensive detection vehicle and generates a corresponding locomotive induction voltage signal in an electromagnetic induction mode by utilizing a track signal receiving antenna. The railway electric department adopts the comprehensive detection vehicle to detect the ZPW-2000 track circuit for 2 times per month, and the detection data provides data support for a fault detection algorithm.
Disclosure of Invention
The invention aims to overcome the defect that misdiagnosis is easy to occur when railway faults are diagnosed in the prior art, and provides a ZPW-2000 series track circuit compensation capacitance parameter estimation method and device.
In order to achieve the above purpose, the invention provides the following technical scheme:
a ZPW-2000 series track circuit compensation capacitance parameter estimation method comprises the following steps:
s1: acquiring induced voltage data of a locomotive signal sample acquisition point in a dynamic detection system in real time;
s2: preprocessing the acquired induction voltage data;
s3: performing Envelope extraction on the preprocessed induced voltage data to obtain actual data A of induced voltage Amplitude Envelope (LSAE)Icv(x)；
S4: calculating induction voltage amplitude envelope theoretical data corresponding to a track section by using a mathematical modeling mode, and establishing a basic database according to the induction voltage amplitude envelope theoretical data;
the induced voltage amplitude envelope theoretical data is expressed as:
ARcv(x)＝F(X，C)
wherein, C ═ C1，c2，...cN]N is the number of compensation capacitors; x ═ X1，x2，...，xK]K is the position corresponding to the compensation capacitor from the transmitting end to the train shunting point xKLocomotiveNumber of signal sample acquisition points, ARcv(x) Including theoretical data for the induced voltage amplitude;
s5: constructing a difference function according to the induction voltage amplitude envelope theoretical data and the induction voltage amplitude envelope actual data, and taking the minimization of the difference function as a target construction target function;
the difference function is:
the objective function is:
wherein A isIcv(xi) Envelope actual data for the induced voltage amplitude at the position corresponding to the ith compensation capacitor, where C ═ C1，c2，...cN]N is the number of compensation capacitors; x ═ X1，x2，...，xK]K is the position corresponding to the compensation capacitor from the transmitting end to the train shunting point xKThe number of acquisition points of a locomotive signal sample;
s6: according to the standard range of the compensation capacitor of the ZPW-2000 series track circuit, the compensation capacitor is used as a decision variable to construct a constraint condition;
s7: based on the objective function and the constraint condition, solving the objective function in step S5 by using a Grey Wolf optimization algorithm (GWO), and estimating the parameter values of the compensation capacitance of the ZPW-2000 series track circuit to obtain an optimal compensation capacitance calculation value.
By adopting the technical scheme, when the compensation capacitance parameter estimation is carried out by utilizing the actual measurement data of the induction voltage of the locomotive, firstly, the sample data is preprocessed, the capacitance quality parameter of the compensation capacitance is taken as a decision variable, the difference between the minimized actual data of the induction voltage amplitude envelope and the theoretical data of the induction voltage amplitude envelope calculated based on a mathematical model is taken as a target, a fitness function is constructed, the characteristics of insensitivity to initial solution value, higher optimization efficiency, good global optimization performance and the like are achieved according to a gray Wolf optimization algorithm (GWO), the optimal compensation capacitance parameter value is iteratively searched by adopting the gray Wolf optimization algorithm (GWO), the estimation of the compensation capacitance parameter of the ZPW-2000 series track circuit can be achieved, and the adaptability and the accuracy are higher.
As a preferred embodiment of the present invention, in the step S2, the preprocessing includes filtering out harmonics, noise reduction, and normalization.
In a preferred embodiment of the present invention, in the step S4, the mathematical modeling is performed by using a uniform transmission line theory.
In a preferred embodiment of the present invention, in the step S6, the standard range is [ C ]t-5％Ct，Ct+ 5％Ct]Wherein C istTo compensate for the standard value of capacitance, 40 μ F is typically taken.
As a preferable embodiment of the present invention, in step S6, the constraint condition is expressed as:
0≤cj≤Ct+5％Ct
wherein, cjIs the jth compensation capacitor.
On the other hand, the rail circuit electrical insulation joint fault diagnosis device is arranged on a comprehensive detection vehicle, and a real-time interface of a railway signal dynamic detection system comprises at least one processor and a memory which is in communication connection with the at least one processor; the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method of any one of the above.
Compared with the prior art, the invention has the beneficial effects that: when the compensation capacitance parameter estimation is carried out by utilizing the measured data of the induction voltage of the locomotive, firstly, sample data is preprocessed, the capacitance quality parameter of the compensation capacitance is used as a decision variable, the difference between the minimized induction voltage amplitude enveloping actual data and the induction voltage amplitude enveloping theoretical data calculated based on a mathematical model is used as a target, a fitness function is constructed, the gray Wolf optimization algorithm (GWO) has the characteristics of insensitivity to initial solution value, higher optimization efficiency, good global optimization performance and the like, the optimal compensation capacitance parameter value is iteratively searched by adopting the gray Wolf optimization algorithm (GWO Optimizer, GWO), the estimation of the compensation capacitance parameter of the ZPW-2000 series track circuit can be realized, and the adaptability and the accuracy are higher.
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Fig. 1 is a flowchart of a method for estimating compensation capacitance parameters of a ZPW-2000 series track circuit according to embodiment 1 of the present invention;
fig. 2 is a structural diagram of a ZPW-2000 series track circuit compensation capacitance parameter estimation apparatus according to embodiment 3 of the present invention.
Detailed Description
The present invention will be described in further detail with reference to test examples and specific embodiments. It should be understood that the scope of the above-described subject matter is not limited to the following examples, and any techniques implemented based on the disclosure of the present invention are within the scope of the present invention.
Example 1
A method for estimating compensation capacitance parameters of a ZPW-2000 series track circuit, as shown in fig. 1, comprising the following steps:
s1: acquiring data, namely acquiring induced voltage data of a locomotive signal sample acquisition point in a dynamic detection system in real time;
s2: preprocessing the data, namely preprocessing the acquired induction voltage data, including filtering out harmonic waves, reducing noise and normalizing;
s3: performing data conversion, namely performing Envelope extraction on the preprocessed induction voltage data to obtain actual data A of induction voltage Amplitude Envelope (LSAE)Icv(x)；
S4: establishing a basic database, and calculating induction voltage amplitude envelope theoretical data A corresponding to the region in a mathematical modeling mode for the track sectionRcv(x) And enveloping theoretical data A with the induction voltage amplitudeRcv(x) Establishing a basic database, wherein the induction voltage amplitude value envelops theoretical data ARcv(x) Expressed as:
ARcv(x)＝F(X，C)
wherein, C ═ C1，c2，...cN]N is the number of compensation capacitors; x ═ X1，x2，...，xK]K is the position corresponding to the compensation capacitor from the transmitting end to the train shunting point xKNumber of acquisition points of samples of locomotive signal, ARcv(x) Including theoretical data for the induced voltage amplitude;
s5: constructing a difference function, constructing the difference function according to the induction voltage amplitude envelope theoretical data and the induction voltage amplitude envelope actual data, and taking the minimization of the difference function as a target construction target function, wherein the difference function is as follows:
the objective function is:
wherein A isIcv(xi) Enveloping actual data for the induction voltage amplitude at the position corresponding to the ith compensation capacitor;
s6: constructing a constraint condition, namely constructing the constraint condition by taking the compensation capacitor as a decision variable according to the standard range of the compensation capacitor of the ZPW-2000 series track circuit;
s7: and (4) parameter estimation, namely solving the objective function in the step S5 by utilizing a Grey wolf optimization algorithm (GWO) based on the objective function and the constraint condition, and estimating the parameter value of the compensation capacitance of the ZPW-2000 series track circuit to obtain the optimal compensation capacitance calculated value.
In step S2, the preprocessing includes filtering out harmonics, noise reduction, and normalization.
In the step S4, the mathematical modeling is performed by using a uniform transmission line theory.
In the step S6, the standard range is [ C ]t-5％Ct，Ct+5％Ct]Wherein C istTo compensate for the standard value of capacitance, 40 μ F is typically taken.
In step S6, the constraint condition is expressed as:
0≤cj≤Ct+5％Ct
wherein, cjIs the jth compensation capacitor.
Example 2
A ZPW-2000 series track circuit compensation capacitance parameter estimation method is different from the embodiment 1 in that:
the method provided by the invention is verified by selecting a group of data acquired from a dynamic signal detection system on the comprehensive detection vehicle and taking the detection result of the ZPW-2000 series track circuit as a comparison object, and the field detection result shows that: the capacitance value of the 7 th compensation capacitor is reduced to 10 mu F;
the method provided by the invention is used for estimating the compensation capacitance parameter of the track circuit, the obtained result is shown in table 1, and the result shows that the compensation capacitance parameter C is obtained710.2867 muf, has fallen below one-fourth of the standard value, and field maintenance personnel can replace the capacitor in advance according to the result.
TABLE 1 verification results and errors
Example 3
The embodiment also provides a rail circuit electrical insulation joint fault diagnosis device, which is installed on the comprehensive detection vehicle, and is provided with a real-time interface of a railway signal dynamic detection system, as shown in fig. 2, the device comprises at least one processor and a memory in communication connection with the at least one processor; the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method of any one of the above.
By adopting the technical scheme, when the compensation capacitance parameter estimation is carried out by utilizing the actual measurement data of the induction voltage of the locomotive, firstly, the sample data is preprocessed, the capacitance quality parameter of the compensation capacitance is taken as a decision variable, the difference between the minimized induction voltage amplitude envelope actual data and the induction voltage amplitude envelope theoretical data calculated based on a mathematical model is taken as a target, a fitness function is constructed, the characteristics of insensitivity to initial solution value, higher optimization efficiency, good global optimization performance and the like are achieved according to a gray wolf optimization algorithm (GWO), the optimal compensation capacitance parameter value is iteratively searched by adopting the gray wolf optimization algorithm (GWO) so that the estimation of the compensation capacitance parameter of the ZPW-2000 series track circuit can be realized, and the adaptability and the accuracy are higher.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents and improvements made within the spirit and principle of the present invention are intended to be included within the scope of the present invention.
Claims (6)
1. A ZPW-2000 series track circuit compensation capacitance parameter estimation method is characterized by comprising the following steps:
s1: acquiring induced voltage data of a locomotive signal sample acquisition point in a dynamic detection system in real time;
s2: preprocessing the acquired induction voltage data;
s3: carrying out envelope extraction on the preprocessed induction voltage data to obtain induction voltage amplitude envelope actual data;
s4: calculating induction voltage amplitude envelope theoretical data corresponding to a track section by using a mathematical modeling mode, and establishing a basic database according to the induction voltage amplitude envelope theoretical data;
the induced voltage amplitude envelope theoretical data is expressed as:
ARcv(x)＝F(X，C)
wherein, C ═ C1，c2，...cN]N is the number of compensation capacitors; x ═ X1，x2，...，xK]K is the position corresponding to the compensation capacitor from the transmitting end to the train shunting point xKNumber of acquisition points of samples of locomotive signal, ARcv(x) Including theoretical data for the induced voltage amplitude;
s5: constructing a difference function according to the induction voltage amplitude envelope theoretical data and the induction voltage amplitude envelope actual data, and taking the minimization of the difference function as a target construction target function;
the difference function is:
the objective function is:
wherein A isIcv(xi) Envelope actual data for the induced voltage amplitude at the position corresponding to the ith compensation capacitor, where C ═ C1，c2，...cN]N is the number of compensation capacitors; x ═ X1，x2，...，xK]K is the position corresponding to the compensation capacitor from the transmitting end to the train shunting point xKThe number of acquisition points of a locomotive signal sample;
s6: according to the standard range of the compensation capacitance of the ZPW-2000 series track circuit, the compensation capacitance is used as a decision variable to construct a constraint condition;
s7: and based on the objective function and the constraint condition, solving the objective function in the step S5 by utilizing a wolf optimization algorithm, and estimating the parameter value of the compensation capacitor of the ZPW-2000 series track circuit to obtain the optimal compensation capacitor calculated value.
2. A ZPW-2000 series orbit circuit compensation capacitance parameter estimation method according to claim 1, wherein in the step S2, the preprocessing includes filtering harmonic, noise reduction and normalization.
3. A ZPW-2000 series track circuit compensation capacitance parameter estimation method according to claim 1, wherein in the step S4, the mathematical modeling manner adopts uniform transmission line theory for modeling.
4. A ZPW-2000 series orbit circuit compensation capacitance parameter estimation method according to claim 1, characterized in that in the step S6, the standard range is [ Ct-5％Ct，Ct+5％Ct]Wherein, CtTo compensate for the standard value of the capacitance.
5. A ZPW-2000 series track circuit compensation capacitance parameter estimation method according to claim 1, wherein in the step S6, the constraint condition is expressed as:
0≤cj≤Ct+5％Ct
wherein, cjIs the jth compensation capacitor.
6. A fault diagnosis device for an electric insulating joint of a track circuit is characterized by comprising at least one processor and a memory which is in communication connection with the at least one processor; the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method of any one of claims 1-5.
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Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102556118A (en) * | 2012-01-06 | 2012-07-11 | 北京交通大学 | Fault online diagnosis method of uninsulated track circuit tuning zone equipment |
| WO2014190759A1 (en) * | 2013-05-27 | 2014-12-04 | 国家电网公司 | Svc compensation strategy optimization method |
| CN108872715A (en) * | 2018-08-28 | 2018-11-23 | 北京交大思诺科技股份有限公司 | Track circuit compensation capacitance real-time detecting system |
| CN109768573A (en) * | 2019-01-29 | 2019-05-17 | 三峡大学 | Var Optimization Method in Network Distribution based on multiple target difference grey wolf algorithm |
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102556118A (en) * | 2012-01-06 | 2012-07-11 | 北京交通大学 | Fault online diagnosis method of uninsulated track circuit tuning zone equipment |
| WO2014190759A1 (en) * | 2013-05-27 | 2014-12-04 | 国家电网公司 | Svc compensation strategy optimization method |
| CN108872715A (en) * | 2018-08-28 | 2018-11-23 | 北京交大思诺科技股份有限公司 | Track circuit compensation capacitance real-time detecting system |
| CN109768573A (en) * | 2019-01-29 | 2019-05-17 | 三峡大学 | Var Optimization Method in Network Distribution based on multiple target difference grey wolf algorithm |
Non-Patent Citations (1)
| Title |
|---|
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