CN112924046B - Ring main unit cable terminal joint heating fault on-line monitoring system and method - Google Patents
Ring main unit cable terminal joint heating fault on-line monitoring system and method Download PDFInfo
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- CN112924046B CN112924046B CN202110085552.7A CN202110085552A CN112924046B CN 112924046 B CN112924046 B CN 112924046B CN 202110085552 A CN202110085552 A CN 202110085552A CN 112924046 B CN112924046 B CN 112924046B
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01K—MEASURING TEMPERATURE; MEASURING QUANTITY OF HEAT; THERMALLY-SENSITIVE ELEMENTS NOT OTHERWISE PROVIDED FOR
- G01K7/00—Measuring temperature based on the use of electric or magnetic elements directly sensitive to heat ; Power supply therefor, e.g. using thermoelectric elements
- G01K7/16—Measuring temperature based on the use of electric or magnetic elements directly sensitive to heat ; Power supply therefor, e.g. using thermoelectric elements using resistive elements
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02B—BOARDS, SUBSTATIONS OR SWITCHING ARRANGEMENTS FOR THE SUPPLY OR DISTRIBUTION OF ELECTRIC POWER
- H02B13/00—Arrangement of switchgear in which switches are enclosed in, or structurally associated with, a casing, e.g. cubicle
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02G—INSTALLATION OF ELECTRIC CABLES OR LINES, OR OF COMBINED OPTICAL AND ELECTRIC CABLES OR LINES
- H02G15/00—Cable fittings
- H02G15/02—Cable terminations
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Abstract
The invention provides an on-line monitoring system for heating faults of a cable terminal joint of a ring main unit, which structurally comprises a temperature sensor, a state monitoring front end, a cloud server and a client terminal; the temperature sensor is connected with the state monitoring front end, the state monitoring front end is in butt joint with the cloud server, and the cloud server is in butt joint with the client terminal. The method for on-line monitoring by using the on-line monitoring system comprises the following steps: monitoring a temperature signal at a joint of a three-phase cable terminal through a temperature sensor; secondly, the temperature sensor transmits the monitored temperature signal to the state monitoring front end; thirdly, the state monitoring front end sends monitoring data to the cloud server according to a set communication period; fourthly, the cloud server sends real-time monitoring data and abnormal fault identification results of the cable terminal connectors of each phase to the client terminal; fifthly, the user inquires historical data through the client terminal and the abnormal phase identification result of each phase of cable terminal connector of the ring main unit.
Description
Technical Field
The invention relates to an on-line monitoring system and method for heating faults of a cable terminal joint of a ring main unit, and belongs to the fields of single chip microcomputer technology, on-line monitoring of power equipment and fault diagnosis.
Background
Along with the continuous deep construction and transformation project of the urban power grid, the using amount of the ring main unit in the power grid transformation project is continuously increased, the bin covers are closed when the ring main unit operates, and the ring main unit is large in number and various in installation position, is inconvenient for inspection, and brings great difficulty to corresponding operation, maintenance and repair work; in recent years, due to untimely inspection and no scientific and effective on-line monitoring means, accidents such as interphase short circuit and single-phase grounding caused by degradation and ablation of a T-shaped cable terminal joint of a ring main unit occur in provincial and urban power grid jurisdictions such as Jiangsu, zhejiang and Anhui, thereby causing adverse effects on safe and stable operation of a power system.
The looped netowrk cabinet space is narrow and small, be unfavorable for the heat dissipation, and cable terminal joint construction technology is complicated and the quality is difficult to guarantee, has caused following objectively existing problem: 1. when the cable runs in a strong electric field and weak convection environment for a long time, the joint is expanded with heat and contracted with cold, the surface of the joint is scaled, oxidized or corroded, so that the joint is loose and poorly contacted, heating occurs, the degradation speed of the insulating layer of the cable terminal is increased, and a great potential safety hazard is formed; 2. because of the problems of production and installation, certain defects exist at the cable joint of part of the ring main units, so that the contact resistance and bending stress are overlarge, and under the long-term heat aging and mechanical aging effects, the root of the T-shaped cable terminal joint is seriously heated and loosened to crack, so that a great potential safety hazard is formed; 3. in the current operation and inspection work, the methods of partial discharge detection, infrared detection and the like are very limited, because the number of ring main units is numerous and most of bin covers are closed.
The running state of the power equipment can be effectively identified by the on-line monitoring method, and the occurrence and development of degradation faults can be timely predicted and prevented; research results show that the degradation and ablation of the T-shaped cable terminal joint of the ring main unit are mostly caused by abnormal heating of the metal flange, so that the degradation condition can be reflected by monitoring the temperature.
Disclosure of Invention
The invention provides a ring main unit cable terminal joint heating fault on-line monitoring system and method, and aims to solve the problem that the heating fault of the ring main unit cable terminal joint cannot be monitored on line in the prior art.
The technical solution of the invention is as follows: the system comprises a temperature sensor, a state monitoring front end, a cloud server and a client terminal; the temperature sensor is connected with the state monitoring front end, the state monitoring front end is in butt joint with the cloud server, and the cloud server is in butt joint with the client terminal.
An on-line monitoring method for heating faults of a cable terminal joint of a ring main unit comprises the following steps:
firstly, installing a temperature sensor at a three-phase cable terminal joint of a ring main unit cable chamber, and monitoring a temperature signal at the three-phase cable terminal joint through the temperature sensor;
the temperature sensor is connected with the state monitoring front end, and the temperature sensor transmits the monitored temperature signal to the state monitoring front end;
thirdly, the state monitoring front end amplifies and filters the temperature signal to form monitoring data, and the monitoring data are sent to the cloud server according to a set communication period;
fourthly, the cloud server stores the monitoring data, and performs data preprocessing, algorithm analysis and abnormal fault phase identification; the cloud server sends real-time monitoring data and abnormal fault identification results of each phase of cable terminal connectors to the client terminal;
fifthly, the user inquires historical data through the client terminal and identifies the abnormal phase of each phase of cable terminal joint of the ring main unit, so that the heating fault condition is obtained.
The invention has the beneficial effects that:
the invention accurately judges whether the three-phase cable terminal connector has obvious abnormal faults by non-contact real-time monitoring of the temperature signals at the characteristic positions of the cable chamber of the ring main unit, so as to achieve the purposes of timely knowing the running state of the cable terminal connector and timely troubleshooting the degradation faults.
Drawings
Fig. 1 is a schematic diagram of the operation of the present invention.
Fig. 2 is a schematic diagram of the operation of the temperature sensor and the state monitoring front end.
Fig. 3 is a workflow diagram of a cloud server.
FIG. 4 is a flow chart of anomaly phase identification and weight calculation.
Detailed Description
The system comprises a temperature sensor, a state monitoring front end, a cloud server and a client terminal; the temperature sensor is connected with the state monitoring front end, the state monitoring front end is in butt joint with the cloud server, and the cloud server is in butt joint with the client terminal.
An on-line monitoring method for heating faults of a cable terminal joint of a ring main unit comprises the following steps:
firstly, installing a temperature sensor at a three-phase cable terminal joint of a ring main unit cable chamber, and monitoring a temperature signal at the three-phase cable terminal joint through the temperature sensor;
the temperature sensor is connected with the state monitoring front end, and the temperature sensor transmits the monitored temperature signal to the state monitoring front end;
thirdly, the state monitoring front end amplifies and filters the temperature signal to form monitoring data, and the monitoring data are sent to the cloud server according to a set communication period;
fourthly, the cloud server stores the monitoring data, and performs data preprocessing, algorithm analysis and abnormal fault phase identification; the cloud server sends real-time monitoring data and abnormal fault identification results of each phase of cable terminal connectors to the client terminal;
fifthly, the user inquires historical data through the client terminal and identifies the abnormal phase of each phase of cable terminal joint of the ring main unit, so that the heating fault condition is obtained.
The temperature sensor is arranged at a flange of a three-phase cable terminal joint of the ring main unit cable chamber.
As shown in FIG. 2, the temperature sensor comprises A, B, C groups of temperature sensors, wherein the A group of temperature sensors, the B group of temperature sensors and the C group of temperature sensors are respectively and correspondingly fixed on the flange surface of the A, B, C three-phase cable terminal connector, and the A group of temperature sensors, the B group of temperature sensors and the C group of temperature sensors are all connected with the state monitoring front end and work in a passive state.
Each group of temperature sensors comprises a temperature measuring probe and is packaged by heat conduction silicone grease; the temperature probe is preferably a thermal resistance temperature sensor.
The state monitoring front end comprises a temperature transmitter, a GPRS module, an MCU module, an inversion voltage stabilizing module and an online power taking module; the signal input end of the temperature transmitter is connected with the temperature sensor, the signal output end of the temperature transmitter is connected with the signal input end of the MCU module, and the signal output end of the MCU module is connected with the signal input end of the GPRS module; the electric input end of the inversion voltage stabilizing module is connected with the on-line power taking module, and the electric output end of the inversion voltage stabilizing module is respectively connected with the electric input ends of the temperature transmitter, the GPRS module and the MCU module.
The working principle of the state monitoring front end is as follows: the temperature transmitter converts the weak signal output by the temperature measuring probe into an analog signal and outputs the analog signal to an ADC port of the MCU module; the MCU module collects the temperature signals of the ADC port, eliminates external interference further by adopting a software filtering mode, and then transmits the signals to the GPRS module; the on-line power taking module converts alternating current in the cable into voltage output with certain power, and supplies power to the temperature transmitter, the GPRS module and the MCU module through the inversion voltage stabilizing module.
The MCU module takes time T 1 In order to periodically transmit the monitoring data to the GPRS module, the GPRS also transmits the monitoring data to the cloud server when receiving the monitoring data.
The T is 1 Preferably five minutes or ten minutes.
As shown in fig. 3, after the cloud server starts to operate, the storage data and the timer T are initialized, the first monitoring data is received and then timing is started, meanwhile, the received monitoring data is stored, and meanwhile, the monitoring data is transmitted to the client terminal; when the time reaches T 2 And then stopping storing, wherein the monitoring data stored in the cloud server are respectively set as an array W A [n a ]、W B [n b ]、W C [n c ]Wherein W represents temperature, subscript A, B, C in turn represents A, B, C three-phase data, n a 、n b 、n c Sequentially representing the number of the temperature or electric field intensity data received each time; after stopping storing the monitoring data, sequentially carrying out normalization processing, wavelet denoising interpolation conversion, pearson similarity detection and abnormal phase identification on the groups, and finally obtaining an abnormal fault phase identification result.
The T is 2 Preferably 12 hours or 24 hours.
As the temperature sensors are provided with three groups, the temperature sensors are respectively arranged on the surface of the A, B, C phase cable connector flange, the positions of the temperature sensors cannot be guaranteed to be completely consistent during actual installation, and the initial values of the temperature sensors are guaranteed to be consistent; therefore, in order to make three groups of monitoring data have comparability, the influence of data magnitude and dimension needs to be eliminated, namely, the original data is normalized; the normalization processing method comprises the following steps:
in which W is i [] min To monitor the minimum value in the data array; w (W) i [] max To monitor the maximum value in the data array, i represents A or B or C, W i [t]And t represents a serial number for data stored in the cloud server.
The wavelet denoising interpolation transformation: in order to smooth the data curve obtained by monitoring and filter burrs caused by external environment interference, a Discrete Wavelet (DWT) decomposition and reconstruction algorithm is adopted to decompose and reconstruct an array of the monitored data, and high-frequency components are filtered to smooth the curve.
The wavelet denoising interpolation conversion method specifically comprises the following steps:
(1) Carrying out wavelet denoising on the normalized temperature monitoring data arrays of each phase to obtain arrays subjected to wavelet denoising;
(2) And carrying out interpolation transformation on the array obtained after wavelet denoising.
The wavelet denoising is carried out on the normalized temperature monitoring data array of each phase, and the specific method is as follows:
taking the normalized A-phase temperature monitoring data array as an example, taking a DB wavelet base as a wavelet function, and decomposing the array;
will W' A [t](t＝1,2,3...n a ) Decomposing on different scale measurement spaces j through DB wavelet basis to obtain two coefficients A in the scale measurement space j-1 1 (k) And D 1 (k) The method comprises the steps of carrying out a first treatment on the surface of the Setting phi j,k (t) is a basis function, Φ j-1,k (t) is the scale function after the first layer decomposition, ω j-1,k (t) is a wavelet function after first layer decomposition, namely:
wherein k is a position index, determined by a filter coefficient of a DB wavelet base, performing multi-layer decomposition on the formula (2) to obtain a final scale function, removing wavelet components, thereby retaining main information of monitoring data and filtering burrs caused by external environment interference;
the invention adopts four layers of decomposition, and comprises the following steps:
then solve for the coefficient A 4 (k) According to the MRA equation of the scale function, there are:
h in 0 [n]Is a low-pass filter coefficient, which is derived from the basis function of the DB wavelet basis, which in turn yields:
a can be obtained by the iterative calculation 4 (k) Then is carried into the formula (3), thereby obtaining the A phase temperature result W' of the data after wavelet denoising and burr removal " A [n a ]；
And similarly, obtaining a B-phase temperature result W' B [n b ]And C-phase temperature results W' C [n c ]。
Array W' obtained by wavelet denoising " A [n a ]、W” B [n b ]、W” C [n c ]Array lengths are different, so that the data lengths are unified to be comparable, and the data are interpolated by a cubic spline interpolation method (spline) and unified to T 2 /T 1 Data points.
The method for carrying out interpolation transformation on the array obtained after wavelet denoising comprises the following steps: for example, denoised A-phase temperature monitoring data array W' A [n a ]The number of data is n a Will be 1 to T 2 /T 1 Is equally divided into n a Points, denoted as x i ，i＝1,2,...n a Wherein x is 1 ＝1，x na ＝T 2 /T 1 Each x is i Corresponding to a corresponding value W' A [i]Then to x i -W” A [n a ]Solving by a cubic spline interpolation method, wherein the boundary conditions are as follows:
i=0 1..n a -1 bringing in the sequential solving of the obtainable spline functions S i (x) Respectively correspond to [1, x 2 ]、[x 2 ,x 3 ]...、[x na-1 ,T 2 /T 1 ]Altogether n a -1 argument interval, followed by x=1, 2..t 2 /T 1 Is carried into a spline function to obtain T 2 /T 1 Numerical value, form W' A [n]，n＝1,2...T 2 /T 1 The method comprises the steps of carrying out a first treatment on the surface of the Similarly, W is obtained " B [n]And W' C [n]，n＝1,2...T 2 /T 1 。
The pearson correlation test comprises the following specific steps:
after unifying the data length, an array W' is obtained " A [n]、W” B [n]、W” C [n]Each data is divided into K segments, K preferably 60, denoted W' Aj 、W” Bj 、W” Cj J=1, 2, 3..k, each segment T 2 /(T 1 K) data points, followed by correlation verification using pearson correlation coefficients to identify outlier phases.
In W' A [n]、W” B [n]For example, the correlation test formula is:
in the method, in the process of the invention,an average value of each segment of array sequence;
similarly, get r j (W” Aj ,W” Cj )、r j (W” Bj ,W” Cj )。
According to the method, the temperature monitoring data of A, B, C three phases are subjected to pairwise correlation comparison, abnormal phases can be identified, and if the temperature change trend of one phase is obviously different and has no correlation with other two phases, heating faults possibly exist.
As shown in fig. 4, the specific method for identifying the abnormal phase is as follows: initializing a temperature anomaly weight ΔW for each phase A 、ΔW B 、ΔW C After the data processing of the previous steps, the pearson correlation coefficient is obtained according to the formula (5) to obtain r j (W” Aj ,W” Bj )、r j (W” Aj ,W” Cj )、r j (W” Bj ,W” Cj ) J=1, 2, 3..k, respectively denoted r AB [K]，r AC [K]，r BC [K]；
Taking temperature anomaly identification as an example, contrast r AB [i]，r AC [i]，r BC [i]Values, wherein i=1, 2, 3..k; if in a certain group r AB [i]Greater than 0.6, and two other values r AC [i]、r BC [i]If the temperature of the C phase is less than 0.2, the A, B two-phase temperature data are determined to be related, and the C phase temperature data are determined to be abnormal, so that the C phase is determined to be abnormal, and the temperature abnormality weight delta W of the C phase is determined C Recalculating; similarly, ΔW can be obtained A 、ΔW B 、ΔW C Is a final calculation result of (a).
Comparison DeltaW A 、ΔW B 、ΔW C If the abnormal temperature weight of one phase is obviously larger than the weights of other two phases, which indicates that the phase possibly has heating faults, the cloud server sends prompt information to the client terminal; the abnormal phase identification result sent by the cloud server to the client terminal includes the prompt information and the temperature abnormal weight historical data of each phase, and the user comprehensively judges the heating condition of the cable terminal joint of the ring main unit according to the information, so that corresponding operation and maintenance measures are taken, for example, when a certain phase continuously receives an abnormal signal and the abnormal weight continuously is overhigh, the user should take the operation and maintenance measuresTimely removing the scene investigation condition and eliminating the heating fault.
The invention provides a ring main unit cable terminal joint heating fault on-line monitoring system and a method, which can accurately monitor the running state characteristic parameters of a cable terminal joint in real time in a non-contact mode, and can identify degradation conditions through a background algorithm, and timely send the degradation conditions to a client terminal after identifying obvious abnormal conditions so as to remind operation and inspection personnel to timely carry out operation and maintenance; the invention provides a system and a method for monitoring the heating fault of the cable terminal joint of a ring main unit on line, which make up the defects of the existing detection means, can effectively monitor the running state of the cable chamber of the ring main unit on line in real time, discover potential fault defects in time, fill the blank of the on-line monitoring technology of the cable terminal joint of the ring main unit, and further ensure the safe and stable running of a distribution network in a jurisdiction.
Claims (4)
1. The on-line monitoring system for the heating fault of the cable terminal joint of the ring main unit is characterized by comprising a temperature sensor, a state monitoring front end, a cloud server and a client terminal; the temperature sensor is connected with the state monitoring front end, the state monitoring front end is in butt joint with the cloud server, and the cloud server is in butt joint with the client terminal;
the method for carrying out on-line monitoring by utilizing the on-line monitoring system for the heating fault of the cable terminal joint of the ring main unit comprises the following steps:
firstly, installing a temperature sensor at a three-phase cable terminal joint of a ring main unit cable chamber, and monitoring a temperature signal at the three-phase cable terminal joint through the temperature sensor;
the temperature sensor is connected with the state monitoring front end, and the temperature sensor transmits the monitored temperature signal to the state monitoring front end;
thirdly, the state monitoring front end amplifies and filters the temperature signal to form monitoring data, and the monitoring data are sent to the cloud server according to a set communication period;
fourthly, the cloud server stores the monitoring data, and performs data preprocessing, algorithm analysis and abnormal fault phase identification; the cloud server sends real-time monitoring data and abnormal fault identification results of each phase of cable terminal connectors to the client terminal;
fifthly, inquiring historical data and identifying results of abnormal phases of each phase of cable terminal joint of the ring main unit by a user through the client terminal, so that a heating fault condition is obtained;
after the cloud server starts to operate, initializing storage data and a timer, starting timing after receiving first monitoring data, storing the received monitoring data, and transmitting the monitoring data to a client terminal; when the time reaches T 2 And then stopping storing, wherein the monitoring data stored in the cloud server are respectively set as an array W A [n a ]、W B [n b ]、W C [n c ]Wherein W represents temperature, subscript A, B, C in turn represents A, B, C three-phase data, n a 、n b 、n c Sequentially representing the number of the temperature or electric field intensity data received each time; after stopping storing the monitoring data, sequentially carrying out normalization processing, wavelet denoising interpolation conversion, pearson similarity detection and abnormal phase identification on the groups, and finally obtaining an abnormal fault phase identification result;
the wavelet denoising interpolation conversion method specifically comprises the following steps:
(1) Carrying out wavelet denoising on the normalized temperature monitoring data arrays of each phase to obtain arrays subjected to wavelet denoising;
(2) Performing interpolation transformation on the array obtained after wavelet denoising;
the method for carrying out interpolation transformation on the array obtained after wavelet denoising comprises the following steps: a phase temperature monitoring data array W' after denoising " A [n a ]The number of data is n a Will be 1 to T 2 /T 1 Is equally divided into n a Points, denoted as x i ，i＝1,2,...n a Wherein x is 1 ＝1，x na ＝T 2 /T 1 Each x is i Corresponding to a corresponding value W' A [i]Then to x i -W” A [n a ]Solving by a cubic spline interpolation method, wherein the boundary conditions are as follows:
i=0 1..n a -1 bringing into sequential solving to obtain spline function S i (x) Respectively correspond to [1, x 2 ]、[x 2 ,x 3 ]...、[x na-1 ,T 2 /T 1 ]Altogether n a -1 argument interval, followed by x=1, 2..t 2 /T 1 Is carried into a spline function to obtain T 2 /T 1 Numerical value, form W' A [n]，n＝1,2...T 2 /T 1 The method comprises the steps of carrying out a first treatment on the surface of the Similarly, W is obtained " B [n]And W' C [n]，n＝1,2...T 2 /T 1 ；
The pearson correlation test comprises the following specific steps:
in W' A [n]、W” B [n]For example, the correlation test formula is:
in the method, in the process of the invention,an average value of each segment of array sequence;
similarly, get r j (W” Aj ,W” Cj )、r j (W” Bj ,W” Cj )；
According to the method, the temperature monitoring data of A, B, C three phases are subjected to pairwise correlation comparison, abnormal phases are identified, and if a certain phase temperature change trend has obvious difference and is uncorrelated with other two phases, a heating fault exists;
the specific method for identifying the abnormal phase comprises the following steps: initializing a temperature anomaly weight ΔW for each phase A 、ΔW B 、ΔW C After the data processing of the previous steps, the pearson correlation coefficient is obtained according to the formula (5) to obtain r j (W” Aj ,W” Bj )、r j (W” Aj ,W” Cj )、r j (W” Bj ,W” Cj ) J=1, 2, 3..k, respectively denoted r AB [K]，r AC [K]，r BC [K]；
Comparison r AB [i]，r AC [i]，r BC [i]Values, wherein i=1, 2, 3..k; if in a certain group r AB [i]Greater than 0.6, and two other values r AC [i]、r BC [i]If the temperature of the C phase is less than 0.2, the A, B two-phase temperature data are determined to be related, and the C phase temperature data are determined to be abnormal, so that the C phase is determined to be abnormal, and the temperature abnormality weight delta W of the C phase is determined C Recalculating; and so on, to obtain DeltaW A 、ΔW B 、ΔW C Is a final calculation result of (a);
comparison DeltaW A 、ΔW B 、ΔW C If the abnormal temperature weight of one phase is obviously larger than the weights of other two phases, which indicates that the phase possibly has heating faults, the cloud server sends prompt information to the client terminal; the cloud server sends abnormal phase identification results to the client terminal, besides the prompt information, the cloud server also comprises temperature abnormal weight historical data of each phase, and a user comprehensively judges the heating condition of the cable terminal connector of the ring main unit according to the information, so that corresponding operation and maintenance measures are taken.
2. The on-line monitoring system for the heating fault of the cable terminal joint of the ring main unit according to claim 1, wherein the temperature sensor comprises A, B, C groups of temperature sensors, wherein the A group of temperature sensors, the B group of temperature sensors and the C group of temperature sensors are respectively and correspondingly fixed on the flange surface of the A, B, C three-phase cable terminal joint, and the A group of temperature sensors, the B group of temperature sensors and the C group of temperature sensors are all connected with the state monitoring front end; each group of temperature sensors comprises a temperature measuring probe and is packaged by heat conduction silicone grease;
the state monitoring front end comprises a temperature transmitter, a GPRS module, an MCU module, an inversion voltage stabilizing module and an online power taking module; the signal input end of the temperature transmitter is connected with the temperature sensor, the signal output end of the temperature transmitter is connected with the signal input end of the MCU module, and the signal output end of the MCU module is connected with the signal input end of the GPRS module; the electric input end of the inversion voltage stabilizing module is connected with the on-line power taking module, and the electric output end of the inversion voltage stabilizing module is respectively connected with the electric input ends of the temperature transmitter, the GPRS module and the MCU module;
the working principle of the state monitoring front end is as follows: the temperature transmitter converts the weak signal output by the temperature measuring probe into an analog signal and outputs the analog signal to an ADC port of the MCU module; the MCU module collects the temperature signals of the ADC port, eliminates external interference further by adopting a software filtering mode, and then transmits the signals to the GPRS module; the on-line power taking module converts alternating current in the cable into voltage output with certain power, and supplies power to the temperature transmitter, the GPRS module and the MCU module through the inversion voltage stabilizing module; the MCU module takes time T 1 In order to periodically transmit the monitoring data to the GPRS module, the GPRS also transmits the monitoring data to the cloud server when receiving the monitoring data.
3. The on-line monitoring system for heating faults of the cable terminal connector of the ring main unit according to claim 1, wherein the normalization processing is carried out by the following specific method:
in which W is i [] min To monitor the minimum value in the data array; w (W) i [] max To monitor the maximum value in the data array, i represents A or B or C, W i [t]And t represents a serial number for data stored in the cloud server.
4. The on-line monitoring system for heating faults of the cable terminal connector of the ring main unit according to claim 1, wherein the wavelet denoising is carried out on the normalized temperature monitoring data array of each phase, and the specific method is as follows:
taking the normalized A-phase temperature monitoring data array as an example, taking a DB wavelet base as a wavelet function, and decomposing the array;
will W' A [t](t＝1,2,3...n a ) Decomposing on different scale measurement spaces j through DB wavelet basis to obtain two coefficients A in the scale measurement space j-1 1 (k) And D 1 (k) The method comprises the steps of carrying out a first treatment on the surface of the Setting phi j,k (t) is a basis function, Φ j-1,k (t) is the scale function after the first layer decomposition, ω j-1,k (t) is a wavelet function after first layer decomposition, namely:
wherein k is a position index, determined by a filter coefficient of a DB wavelet base, performing multi-layer decomposition on the formula (2) to obtain a final scale function, removing wavelet components, thereby retaining main information of monitoring data and filtering burrs caused by external environment interference;
the invention adopts four layers of decomposition, and comprises the following steps:
then solve for the coefficient A 4 (k) According to the MRA equation of the scale function, there are:
h in 0 [n]Is a low-pass filter coefficient, which is derived from the basis function of the DB wavelet basis, which in turn yields:
obtaining A through the iterative calculation 4 (k) Then is carried into the formula (3) to obtain the A phase temperature result W' of the data after the wavelet denoising and the burr elimination " A [n a ]；
And similarly, obtaining a B-phase temperature result W' B [n b ]And C-phase temperature results W' C [n c ]。
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| CN113985320A (en) * | 2021-10-31 | 2022-01-28 | 国网甘肃省电力公司酒泉供电公司 | Temperature rise-based method for identifying abnormal heating of cable joint of cable tunnel |
| CN114629890B (en) * | 2022-05-16 | 2022-08-09 | 山东省地质矿产勘查开发局八〇一水文地质工程地质大队(山东省地矿工程勘察院) | Geothermal monitoring system and method |
| CN114689129B (en) * | 2022-05-31 | 2022-08-09 | 山东省地质矿产勘查开发局八〇一水文地质工程地质大队(山东省地矿工程勘察院) | Underground space environment monitoring system and method |
| CN118408646B (en) * | 2024-07-02 | 2024-09-13 | 国网山东省电力公司邹城市供电公司 | Method and system for early warning of abnormal temperature of power cable connector |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2004027363A1 (en) * | 2002-09-20 | 2004-04-01 | Dso National Laboratories | Temperature telemeter |
| CN101813525A (en) * | 2010-04-02 | 2010-08-25 | 上海天宇电气有限公司 | Electric contact temperature online detecting device of high/low voltage power transmission and distribution apparatus |
| CN204027731U (en) * | 2014-04-24 | 2014-12-17 | 安徽南瑞继远软件有限公司 | A kind of temperature rise on-Line Monitor Device for ring main unit inner cable joint |
| KR101751786B1 (en) * | 2016-07-07 | 2017-06-28 | 이노넷 주식회사 | TERMINAL TEMPERATURE MONITORING SYSTEM and TERMINAL TEMPERATURE DETECTING DEVICE OF POWER FACILITY |
| CN109916523A (en) * | 2019-02-27 | 2019-06-21 | 南京乾鑫电器设备有限公司 | A kind of switchgear cable vault heating accident monitors system and method |
Family Cites Families (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20140330519A1 (en) * | 2013-05-01 | 2014-11-06 | Heiko Mueller | Method to identify multivariate anomalies by computing similarity and dissimilarity between entities and considering their spatial interdependency |
| US10129274B2 (en) * | 2016-09-22 | 2018-11-13 | Adobe Systems Incorporated | Identifying significant anomalous segments of a metrics dataset |
-
2021
- 2021-01-22 CN CN202110085552.7A patent/CN112924046B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2004027363A1 (en) * | 2002-09-20 | 2004-04-01 | Dso National Laboratories | Temperature telemeter |
| CN101813525A (en) * | 2010-04-02 | 2010-08-25 | 上海天宇电气有限公司 | Electric contact temperature online detecting device of high/low voltage power transmission and distribution apparatus |
| CN204027731U (en) * | 2014-04-24 | 2014-12-17 | 安徽南瑞继远软件有限公司 | A kind of temperature rise on-Line Monitor Device for ring main unit inner cable joint |
| KR101751786B1 (en) * | 2016-07-07 | 2017-06-28 | 이노넷 주식회사 | TERMINAL TEMPERATURE MONITORING SYSTEM and TERMINAL TEMPERATURE DETECTING DEVICE OF POWER FACILITY |
| CN109916523A (en) * | 2019-02-27 | 2019-06-21 | 南京乾鑫电器设备有限公司 | A kind of switchgear cable vault heating accident monitors system and method |
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