CN110988585A - Compensation capacitor fault online diagnosis device and method based on Internet of things - Google Patents
Compensation capacitor fault online diagnosis device and method based on Internet of things Download PDFInfo
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- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
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Abstract
The invention relates to the technical field of rail transit, and discloses an online diagnosis device and method for compensating capacitance faults based on the Internet of things, wherein the online diagnosis device for compensating capacitance faults comprises: the system comprises an acquisition unit, a transmission unit and a diagnosis unit, wherein the acquisition unit acquires a plurality of first data of a supplementary capacitor, and the transmission unit receives and outputs the plurality of first data; the diagnosis unit receives the first data output by the transmission unit, processes the first data and the second data, judges the fault and the degradation degree of the supplementary capacitor according to the processing result and outputs a judgment result. According to the invention, the compensation capacitor data acquisition and forwarding are realized in a non-contact acquisition mode with the built-in compensation capacitor; meanwhile, the early warning and fault warning functions of the degradation of the capacitance value of the compensation capacitor and the accurate warning of short circuit and open circuit faults of the steel rail are realized by combining the data of the track circuit for operation.
Description
Technical Field
The invention belongs to the technical field of rail transit, and particularly relates to an online diagnosis device and method for compensating capacitor faults based on the Internet of things.
Background
ZPW-2000 series track circuits are adopted for automatic block of railway sections in China, and 1 compensation capacitor is arranged on a steel rail line every 100m or so in order to ensure reliable transmission of signals in the steel rail for the ZPW-2000 series track circuits. The compensation capacitor is a passive electrical device, is installed dispersedly and is not connected with a cable channel.
According to the requirement of 'technical conditions of compensation capacitor without insulated track circuit' 4.4 clauses, the service life of the compensation capacitor under normal operation conditions is as follows: the ZPW CBG model should be no less than 5 years, the ZPW CBG-M model should be no less than 6 years, and the service life of the ZPW-2000 series track circuit should be no less than 15 years.
In practical use, the compensation capacitor of the prior art has the following problems:
1. the compensation capacitor is used as a loss product, and the electrical state of the compensation capacitor is only tested manually and cannot be effectively and automatically monitored;
2. the short circuit or open circuit (broken rail) fault of the steel rail can not be automatically and accurately positioned.
Therefore, it is urgently needed to develop an online diagnosis device and method for compensating capacitance faults based on the internet of things, which overcome the defects.
Disclosure of Invention
In order to solve the above problems, the present invention provides an online diagnosis device for compensating capacitance fault based on the internet of things, wherein the online diagnosis device comprises:
the acquisition unit acquires a plurality of first data of the supplementary capacitor;
a transmission unit that receives and outputs a plurality of the first data;
and the diagnosis unit receives the first data output by the transmission unit, processes the first data and the second data, judges the fault and the degradation degree of the supplementary capacitor according to the processing result and outputs a judgment result.
The above compensating capacitor fault online diagnosis device, wherein the acquisition unit includes:
the voltage difference value acquisition processing module is used for acquiring the potential on the lead of the supplementary capacitor, processing the potential to obtain a voltage difference value and outputting the voltage difference value to the transmission unit;
and the current acquisition module acquires the alternating voltage of the supplementary capacitor and outputs a current signal to the transmission unit.
In the above compensating capacitor fault online diagnosis device, the voltage difference collecting and processing module includes:
the first voltage coupling sensor is used for acquiring a first potential of a first lead of the supplementary capacitor;
the second voltage coupling sensor is used for acquiring a second potential of a second lead of the supplementary capacitor;
and the processing module is used for processing the first potential and the second potential to obtain the voltage difference value and outputting the voltage difference value to the diagnosis unit through the transmission unit, and the diagnosis unit is used for judging the fault and the degradation degree of the supplementary capacitor according to the voltage difference value, the current signal and the second data and outputting a judgment result.
In the above online diagnosis device for compensating capacitor faults, the current collection module is a hall sensor.
The above compensating capacitor fault online diagnosis device, wherein the acquisition unit further comprises: the electric quantity acquisition module acquires the current electric quantity percentage of the battery of the compensation capacitor and outputs an electric quantity signal to the transmission unit, and the diagnosis unit receives and outputs an alarm signal according to the electric quantity signal output by the transmission unit.
The compensation capacitor fault online diagnosis device is characterized in that the first processing module comprises:
an amplifying circuit for amplifying the first potential and the second potential and outputting the amplified potentials;
the analog-to-digital conversion circuit obtains a potential difference according to the first potential and the second potential and processes the potential difference to obtain a potential difference signal;
and the processor obtains the voltage difference value according to the potential difference signal and outputs the voltage difference value to the transmission unit.
The above compensating capacitor fault online diagnosis device, wherein the transmission unit includes:
and the server receives and stores the voltage difference value, the current signal and the electric quantity signal, and then sends the voltage difference value, the current signal and the electric quantity signal to the diagnosis unit through the DTU, wherein each compensation capacitor has a number, and the server stores the number of each compensation capacitor.
The compensation capacitor fault online diagnosis device comprises:
the storage module is used for storing the serial number of each supplementary capacitor in a partition section;
the second processing module is used for obtaining the current capacitance value of each supplementary capacitor according to the voltage difference value, the current signal and the second data and outputting the current capacitance value to the server for storage through the DTU, judging the state of each supplementary capacitor according to the current capacitance value of each supplementary capacitor, and outputting the number of the supplementary capacitor calling the abnormality and the section number when the state of one supplementary capacitor is abnormal;
and the display module displays the number and the section number of the abnormal supplementary capacitor.
In the above compensation capacitor fault online diagnosis device, the second processing module positions the fault position of the steel rail according to the number and the segment number of the abnormal compensation capacitor, and sends the fault position to the display module, and the display module displays the fault position.
The invention also provides an online diagnosis method for the compensation capacitor fault based on the Internet of things, which comprises the following steps:
step S1: acquiring a plurality of first data of the supplementary capacitor through an acquisition unit;
step S2: transmitting a plurality of the first data through a transmission unit;
step S3: and receiving the first data output by the transmission unit through a diagnosis unit, processing the first data and the second data by the diagnosis unit, judging the fault and the degradation degree of the supplementary capacitor according to the processing result, and outputting a judgment result.
In the above online diagnosis method for compensating capacitor fault, step S1 includes:
step S11: collecting the potential on the lead of the supplementary capacitor, processing the potential to obtain a voltage difference value, and outputting the voltage difference value to the transmission unit;
step S12: and collecting the alternating voltage of the supplementary capacitor and outputting a current signal to the transmission unit.
In the above online diagnosis method for compensating capacitor fault, step S11 includes:
step S111: acquiring a first potential of a first lead of the supplementary capacitor through a first voltage coupling sensor;
step S112: acquiring a second potential of a second lead of the supplementary capacitor through a second voltage coupling sensor;
step S113: and processing the first potential and the second potential by a processing module to obtain the voltage difference value, and outputting the voltage difference value to the diagnosis unit through the transmission unit.
In the above online diagnosis method for compensating capacitor fault, step S1 further includes step S13: and acquiring the current electric quantity percentage of the battery of the compensation capacitor through an electric quantity acquisition module and outputting an electric quantity signal to the transmission unit.
In the above online diagnosis method for the fault of the compensation capacitor, in step S2, the server receives and stores the voltage difference, the current signal and the electric quantity signal, and then sends the voltage difference, the current signal and the electric quantity signal to the diagnosis unit through the DTU, where each compensation capacitor has a serial number, and the server stores the serial number of each compensation capacitor.
In the above online diagnosis method for compensating capacitor fault, step S3 includes:
step S31: storing the serial number of each supplementary capacitor in a partition way through a storage module;
step S32: obtaining a current capacitance value of each supplementary capacitor through a second processing module according to the voltage difference value, the current signal and the second data, and outputting the current capacitance value to the server for storage through the DTU, wherein the second processing module judges the state of each supplementary capacitor according to the current capacitance value of each supplementary capacitor, and when the state of one supplementary capacitor is abnormal, the processing module outputs the current capacitance value according to the serial number and the section serial number of the abnormal supplementary capacitor;
step S33: and displaying the number and the section number of the abnormal supplementary capacitor through a display module.
In the above online diagnosis method for compensating capacitor fault, step S32 further includes: the processing module is used for positioning the fault position of the steel rail according to the number and the section number of the abnormal supplementary capacitor and sending the fault position to the display module; the step S33 further includes displaying the fault location through the display module.
In the above online diagnosis method for compensating capacitor fault, step S32 further includes: and receiving and outputting an alarm signal according to the electric quantity signal output by the transmission unit through the second processing module.
Aiming at the prior art, the invention has the following effects: the electrical characteristics of each compensation capacitor can be monitored, and the compensation capacitor can be found and replaced in the process of capacity value degradation, so that the compensation capacitor can be completely replaced from due time to poor state, maintenance objects are greatly reduced, the service life of equipment is prolonged, and the maintenance labor intensity is reduced; meanwhile, the electrical characteristics of each compensation capacitor on the steel rail line are monitored, and when the steel rail is short-circuited or open-circuited, the electrical characteristics of adjacent compensation capacitors can be changed, so that the change process of the compensation capacitors is analyzed on the basis of monitoring the electrical characteristics, the open-circuit and open-circuit faults of the steel rail are accurately positioned within 100m, the maintenance target is clear, and the fault influence time is greatly reduced.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and those skilled in the art can also obtain other drawings according to the drawings without creative efforts.
FIG. 1 is a schematic structural diagram of an online diagnosis device for compensating capacitor faults according to the present invention;
FIG. 2 is a schematic structural diagram of the acquisition unit in FIG. 1;
FIG. 3 is a flow chart of the online diagnosis method for compensating capacitor faults according to the present invention;
FIG. 4 is a flowchart illustrating the substeps of step S1 in FIG. 3;
FIG. 5 is a flowchart illustrating the substeps of step S11 in FIG. 4;
fig. 6 is a flowchart illustrating a substep of step S2 in fig. 3.
Wherein the reference numerals are:
a collecting unit: 11
Voltage difference value acquisition processing module: 111
A first voltage coupled sensor: 1111
A second voltage coupled sensor: 1112
A first processing module: 1113
An amplifying circuit: 11131
The current acquisition module: 112
Electric quantity acquisition module: 113
A transmission unit: 12
A server: 121
DTU：122
A diagnosis unit: 13
And (3) supplementary capacitance: c1 … Cn
A storage module: 131
A processing module: 132
A display module: 133
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, fig. 1 is a schematic structural diagram of an online diagnosis device for compensating capacitor faults according to the present invention. As shown in fig. 1, the online diagnosis device for compensating capacitor fault based on internet of things of the present invention includes: the system comprises an acquisition unit 11, a transmission unit 12 and a diagnosis unit 13, wherein the acquisition unit 11 correspondingly acquires a plurality of first data obtained by acquiring a supplementary capacitor C1 … Cn; the transmission unit 12 receives and outputs a plurality of first data; the diagnosis unit 13 receives the first data output by the transmission unit 12, the diagnosis unit 13 processes the first data and the second data, judges the fault and the deterioration degree of the supplementary capacitor according to the processing result, outputs the judgment result, and the diagnosis unit 13 positions the fault position of the steel rail according to the judgment result.
Specifically, the transmission unit 12 is configured to transmit data between the acquisition unit 11 and the diagnosis unit 13, where the first data includes: the second data are data collected in the track circuit room.
Referring to fig. 2, fig. 2 is a schematic structural diagram of the acquisition unit in fig. 1. As shown in fig. 1 and 2, the collecting unit includes: a voltage difference value acquisition processing module 111, a current acquisition module 112 and an electric quantity acquisition module 113.
The voltage difference value acquisition and processing module 111 correspondingly acquires the potential on the lead of the supplementary capacitor and outputs a voltage difference value after processing the potential to obtain the voltage difference value, the voltage difference value acquisition and processing module 111 comprises a first voltage coupling sensor 1111, a second voltage coupling sensor 1112 and a first processing module 1113, and the first voltage coupling sensor 1111 acquires the first potential of the first lead of the supplementary capacitor; a second voltage coupling sensor 1112 collects a second potential of a second wire of the supplemental capacitance; the first processing module 1113 processes the first potential and the second potential to obtain a voltage difference and outputs the voltage difference to the transmission unit. Specifically, the voltage difference acquisition processing module 111 device realizes non-contact acquisition of the wire voltage by using a capacitance principle, an audio alternating signal with a potential of U1 (or U2) on the wire radiates an alternating electric field to the periphery of the wire to cause electrodes placed in the electric field to generate an induced potential, the first processing module 1113 amplifies the potentials induced by the two electrodes and synthesizes the potentials into a potential difference, the potential difference is calibrated to obtain a voltage signal which is in a linear relation with the potential differences of U1 and U2, and finally the voltage signal is converted into the voltage difference of U1 and U2. And an outer insulating sheath of the wire is arranged between the electrode in the acquisition device and the wire core of the wire to be detected and is used as an insulating material, so that the acquisition structure with high isolation voltage resistance and high insulation resistance is realized, and the current of an acquisition loop is almost zero, so that the influence on the system to be detected is weak.
The current collecting module 112 correspondingly collects the alternating voltage of the supplementary capacitor and outputs a current signal; in this embodiment, the current collecting module 112 is a hall sensor.
The electric quantity acquisition module acquires the electric quantity percentage of the current battery of the supplementary capacitor and outputs an electric quantity signal to the transmission unit 12, the diagnosis unit 13 receives the electric quantity signal output by the transmission unit 12 and outputs an alarm signal according to the electric quantity signal, and specifically, the diagnosis unit 13 outputs the alarm signal when judging that the electric quantity of the battery reaches 10% according to the electric quantity signal.
Wherein, the first processing module 1113 comprises: the amplifier circuit 11131, the analog-to-digital conversion circuit ADC and the processor 11133, wherein the amplifier circuit 11131 amplifies the first potential and the second potential and outputs the amplified first potential and second potential to the analog-to-digital conversion circuit ADC; the analog-to-digital conversion circuit ADC obtains a potential difference according to the amplified first potential and the amplified second potential, and processes the potential difference to obtain a potential difference signal; the processor CPU obtains a voltage difference value from the potential difference signal and outputs the voltage difference value to the transmission unit 12.
In the present embodiment, the processor CPU outputs the voltage difference value to the transmission unit 12 through the NB-LOT network.
Further, the transmission unit 12 includes: the server 121 receives and stores the voltage difference value, the current signal, the status signal and the electric quantity signal, and then sends the voltage difference value, the current signal and the electric quantity signal to the diagnostic unit 13 through the DTU122, each compensation capacitor has a number, and the server stores the number of each compensation capacitor.
Still further, the diagnostic unit comprises: the storage module 131, the processing module 132 and the display module 133, the storage module 131 stores the number of each complementary capacitor in a partition, the processing module 132 obtains the current capacitance value of each complementary capacitor according to the voltage difference value, the current signal, the electric quantity signal and the second data and outputs the current capacitance value to the server 121 for storage through the DTU122, the processing module 132 judges the state of each complementary capacitor according to the current capacitance value of each complementary capacitor, and when the state of a complementary capacitor is abnormal, the processing module 132 outputs the number of the abnormal complementary capacitor and the partition number; the display module 133 displays the number and the segment number of the abnormal supplementary capacitor.
In this embodiment, the processing module 132 further positions the fault position of the steel rail according to the number and the section number of the abnormal supplementary capacitor, and sends the fault position to the display module, and the display module 133 displays the fault position.
Specifically, the processing module 132 combines with the data collected in the track circuit room to refine the diagnosis and early warning results, so as to realize the judgment of the fault and the degradation of the supplementary capacitor; meanwhile, the short circuit and open circuit (broken rail) faults of the steel rail can be positioned in the range of 100 m. Wherein, the judging conditions when the steel rail is short-circuited are as follows: the red light band of the track section and the current of the sending end of the track circuit are increased, and simultaneously the voltage of the capacitor between the sending end and a certain numbered capacitor is reduced. The judgment conditions when the steel rail is open are as follows: the red light band of the track section and the current of the sending end of the track circuit are not increased (reduced or unchanged), and the capacitor voltage between the sending end and a certain numbered capacitor is not reduced (increased or unchanged).
Referring to fig. 3, fig. 3 is a flowchart illustrating an online diagnosis method for compensating capacitor faults according to the present invention. As shown in fig. 3, the online diagnosis method for compensating capacitor faults based on the internet of things of the present invention includes:
step S1: acquiring a plurality of first data of the supplementary capacitor through an acquisition unit;
step S2: transmitting a plurality of first data through a transmission unit;
step S3: the diagnosis unit receives the first data output by the transmission unit, processes the first data and the second data, judges the fault and the degradation degree of the supplementary capacitor according to the processing result and outputs a judgment result.
Further, referring to fig. 4, fig. 4 is a flowchart illustrating a sub-step of step S1 in fig. 3. As shown in fig. 4, step S1 includes:
step S11: collecting the potential on a lead of the supplementary capacitor, processing the potential to obtain a voltage difference value, and outputting the voltage difference value to a transmission unit;
step S12: collecting alternating voltage of the supplementary capacitor and outputting a current signal to the transmission unit;
step S13: and acquiring the current electric quantity percentage of the battery of the compensation capacitor and outputting an electric quantity signal to the transmission unit.
Still further, referring to fig. 5, fig. 5 is a flowchart illustrating a sub-step of step S11 in fig. 4. As shown in fig. 5, step S11 includes:
step S111: acquiring a first potential of a first lead of a supplementary capacitor through a first voltage coupling sensor;
step S112: collecting a second potential of a second lead of the supplementary capacitor through a second voltage coupling sensor;
step S113: the processing module is used for processing the first potential and the second potential to obtain a voltage difference value, and the voltage difference value is output to the diagnosis unit through the transmission unit.
Still further, in step S2, the server receives and stores the voltage difference, the current signal, and the power signal, and then sends the voltage difference, the current signal, and the power signal to the diagnostic unit through the DTU, where each compensation capacitor has a number, and the server stores the number of each compensation capacitor.
Further, referring to fig. 6, fig. 6 is a flowchart illustrating a sub-step of step S2 in fig. 3. As shown in fig. 6, step S3 includes:
step S31: storing the serial number of each supplementary capacitor in a partition way through a storage module;
step S32: the current capacitance value of each supplementary capacitor is obtained through a second processing module according to the voltage difference value, the current signal and second data and is output to a server for storage through a DTU (data transfer unit), the second processing module judges the state of each supplementary capacitor according to the current capacitance value of each supplementary capacitor, and when the state of one supplementary capacitor is abnormal, the processing module outputs the current capacitance value of each supplementary capacitor according to the number of calling the abnormal supplementary capacitor and the section number;
step S33: and displaying the number and the section number of the abnormal supplementary capacitor through the display module.
In step S32, the method further includes: the processing module positions the fault position of the steel rail according to the number and the section number of the abnormal supplementary capacitor, sends the fault position to the display module, and receives the fault position through the second processing module and outputs an alarm signal according to the electric quantity signal output by the transmission unit; step S33 further includes displaying the fault location through the display module.
In summary, the internet of things technology is adopted, and the voltage and current of the compensation capacitor are acquired and data are forwarded in a non-contact acquisition mode in which the compensation capacitor is built; meanwhile, the compensation capacitor of the Internet of things is networked through a GSM-R network special for railways or a public network of an operator, forwarded to an upper computer diagnosis system through a DTU gateway, and combined with track circuit data to operate, so that the functions of early warning and fault warning of the capacitance value degradation of the compensation capacitor and accurate warning of short circuit and open circuit (broken rail) faults of a steel rail are realized.
Although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (17)
1. The utility model provides a compensation capacitance fault online diagnosis device based on thing networking which characterized in that includes:
the acquisition unit acquires a plurality of first data of the supplementary capacitor;
a transmission unit that receives and outputs a plurality of the first data;
and the diagnosis unit receives the first data output by the transmission unit, processes the first data and the second data, judges the fault and the degradation degree of the supplementary capacitor according to the processing result and outputs a judgment result.
2. The compensated capacitive fault online diagnostic device of claim 1, wherein the acquisition unit comprises:
the voltage difference value acquisition processing module is used for acquiring the potential on the lead of the supplementary capacitor, processing the potential to obtain a voltage difference value and outputting the voltage difference value to the transmission unit;
and the current acquisition module acquires the alternating voltage of the supplementary capacitor and outputs a current signal to the transmission unit.
3. The compensated capacitance fault online diagnosis device as claimed in claim 2, wherein the voltage difference value acquisition and processing module comprises:
the first voltage coupling sensor is used for acquiring a first potential of a first lead of the supplementary capacitor;
the second voltage coupling sensor is used for acquiring a second potential of a second lead of the supplementary capacitor;
and the processing module is used for processing the first potential and the second potential to obtain the voltage difference value and outputting the voltage difference value to the diagnosis unit through the transmission unit, and the diagnosis unit is used for judging the fault and the degradation degree of the supplementary capacitor according to the voltage difference value, the current signal and the second data and outputting a judgment result.
4. The compensated capacitive fault online diagnostic device of claim 2, wherein the current collection module is a hall sensor.
5. The compensated capacitive fault online diagnostic device of claim 2, wherein the acquisition unit further comprises: the electric quantity acquisition module acquires the current electric quantity percentage of the battery of the compensation capacitor and outputs an electric quantity signal to the transmission unit, and the diagnosis unit receives and outputs an alarm signal according to the electric quantity signal output by the transmission unit.
6. The compensated capacitive fault online diagnostic device of any one of claims 1-3, wherein the first processing module comprises:
an amplifying circuit for amplifying the first potential and the second potential and outputting the amplified potentials;
the analog-to-digital conversion circuit obtains a potential difference according to the first potential and the second potential and processes the potential difference to obtain a potential difference signal;
and the processor obtains the voltage difference value according to the potential difference signal and outputs the voltage difference value to the transmission unit.
7. The compensated capacitive fault online diagnostic device of claim 5, wherein the transmission unit comprises:
and the server receives and stores the voltage difference value, the current signal and the electric quantity signal, and then sends the voltage difference value, the current signal and the electric quantity signal to the diagnosis unit through the DTU, wherein each compensation capacitor has a number, and the server stores the number of each compensation capacitor.
8. The compensated capacitive fault online diagnostic device of claim 7, wherein the diagnostic unit comprises:
the storage module is used for storing the serial number of each supplementary capacitor in a partition section;
the second processing module is used for obtaining the current capacitance value of each supplementary capacitor according to the voltage difference value, the current signal and the second data and outputting the current capacitance value to the server for storage through the DTU, judging the state of each supplementary capacitor according to the current capacitance value of each supplementary capacitor, and outputting the number of the supplementary capacitor calling the abnormality and the section number when the state of one supplementary capacitor is abnormal;
and the display module displays the number and the section number of the abnormal supplementary capacitor.
9. The compensated capacitor fault online diagnosis device as claimed in claim 8, wherein the second processing module locates a fault position of a steel rail according to the number and section number of the abnormal supplementary capacitor, and sends the fault position to the display module, and the display module displays the fault position.
10. A compensation capacitor fault online diagnosis method based on the Internet of things is characterized by comprising the following steps:
step S1: acquiring a plurality of first data of the supplementary capacitor through an acquisition unit;
step S2: transmitting a plurality of the first data through a transmission unit;
step S3: and receiving the first data output by the transmission unit through a diagnosis unit, processing the first data and the second data by the diagnosis unit, judging the fault and the degradation degree of the supplementary capacitor according to the processing result, and outputting a judgment result.
11. The compensated capacitive fault online diagnostic method of claim 10, wherein the step S1 comprises:
step S11: collecting the potential on the lead of the supplementary capacitor, processing the potential to obtain a voltage difference value, and outputting the voltage difference value to the transmission unit;
step S12: and collecting the alternating voltage of the supplementary capacitor and outputting a current signal to the transmission unit.
12. The compensated capacitive fault online diagnostic method of claim 11, wherein the step S11 comprises:
step S111: acquiring a first potential of a first lead of the supplementary capacitor through a first voltage coupling sensor;
step S112: acquiring a second potential of a second lead of the supplementary capacitor through a second voltage coupling sensor;
step S113: and processing the first potential and the second potential by a processing module to obtain the voltage difference value, and outputting the voltage difference value to the diagnosis unit through the transmission unit.
13. The compensated capacitor fault on-line diagnostic method as claimed in claim 10, wherein the step S1 further comprises the step S13: and acquiring the current electric quantity percentage of the battery of the compensation capacitor through an electric quantity acquisition module and outputting an electric quantity signal to the transmission unit.
14. The method as claimed in claim 13, wherein in step S2, the voltage difference value, the current signal and the power signal are received and stored by a server, and then sent to the diagnosis unit via a DTU, each compensation capacitor has a number, and the server stores the number of each compensation capacitor.
15. The compensated capacitive fault online diagnostic method of claim 14, wherein the step S3 comprises:
step S31: storing the serial number of each supplementary capacitor in a partition way through a storage module;
step S32: obtaining a current capacitance value of each supplementary capacitor through a second processing module according to the voltage difference value, the current signal and the second data, and outputting the current capacitance value to the server for storage through the DTU, wherein the second processing module judges the state of each supplementary capacitor according to the current capacitance value of each supplementary capacitor, and when the state of one supplementary capacitor is abnormal, the processing module outputs the current capacitance value according to the serial number and the section serial number of the abnormal supplementary capacitor;
step S33: and displaying the number and the section number of the abnormal supplementary capacitor through a display module.
16. The compensated capacitive fault online diagnostic method of claim 15, wherein the step S32 further comprises: the processing module is used for positioning the fault position of the steel rail according to the number and the section number of the abnormal supplementary capacitor and sending the fault position to the display module; the step S33 further includes displaying the fault location through the display module.
17. The online diagnosis method for the fault of the compensation capacitor according to claim 15 or 16, wherein the step S32 further comprises: and receiving and outputting an alarm signal according to the electric quantity signal output by the transmission unit through the second processing module.
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| CN113238139A (en) * | 2021-04-26 | 2021-08-10 | 金华市无界网络科技有限公司 | Circuit fault detection method, device, equipment and computer readable storage medium |
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