CN112924046A - Ring main unit cable terminal connector heating fault online monitoring system and method - Google Patents
Ring main unit cable terminal connector heating fault online monitoring system and method Download PDFInfo
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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 online monitoring system for heating faults of a cable terminal connector of a ring main unit, which structurally comprises a temperature sensor, a state monitoring front end, a cloud server and a client terminal, wherein the state monitoring front end is connected with the 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 online monitoring by using the online monitoring system comprises the following steps: monitoring a temperature signal at a three-phase cable terminal joint 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 a cloud server according to a set communication cycle; the cloud server sends real-time monitoring data and an abnormal fault identification result of each phase of cable terminal connector to the client terminal; and fifthly, the user inquires historical data and the abnormal phase identification result of each phase of cable terminal joint of the ring main unit through the client terminal.
Description
Technical Field
The invention relates to a heating fault on-line monitoring system and method for a cable terminal connector of a ring main unit, and belongs to the field of single chip microcomputer technology and power equipment on-line monitoring and fault diagnosis.
Background
Along with the continuous deepening of urban power grid construction and transformation projects, the usage amount of the ring main unit in the power grid transformation projects is increased continuously, and the bin cover is closed when the ring main unit runs, so that the ring main unit is large in number and various in installation position, inspection tour is inconvenient, and great difficulty is brought to corresponding operation and maintenance work; in recent years, due to untimely inspection and no scientific and effective online monitoring means, accidents such as interphase short circuit and single-phase grounding caused by degradation and ablation of T-shaped cable terminal connectors of a ring main unit occur in provincial and municipal power grid jurisdictions such as Jiangsu, Zhejiang and Anhui, and adverse effects are caused 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 termination connects construction process complicacy and quality are difficult to guarantee, have caused the following objective problem that exists: 1. when the cable terminal runs in a strong electric field and weak convection environment for a long time, the interior of the joint expands with heat and contracts with cold, and the surface scales, oxidizes or corrodes, so that the contact is loosened and poor in contact, heat is generated, the degradation speed of an insulating layer of the cable terminal is increased, and great potential safety hazards are formed; 2. due to the problems of production and installation, the cable joints of part of the ring main unit have certain defects, so that contact resistance and bending stress are overlarge, and under the action of long-term thermal aging and mechanical aging, the root of the T-shaped cable terminal joint generates heat seriously, is loosened and cracked, and forms great potential safety hazard; 3. in the current operation and inspection work, the adopted methods such as partial discharge detection, infrared detection and the like are very limited because the ring main units are numerous and most of the warehouse covers are closed.
The running state of the power equipment can be effectively identified through an online monitoring method, and the occurrence and development of degradation faults can be predicted and prevented in time; research results show that the degradation ablation of the T-shaped cable terminal joint of the ring main unit is 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 looped network cabinet cable terminal joint heating fault on-line monitoring system and method, and aims to solve the problem that the prior art cannot carry out on-line monitoring on heating faults of a looped network cabinet cable terminal joint.
The technical solution of the invention is as follows: a heating fault on-line monitoring system for a cable terminal connector of a ring main unit 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.
An online monitoring method for heating faults of cable terminal connectors of a ring main unit comprises the following steps:
the method comprises the following steps that (A) a temperature sensor is installed at a three-phase cable terminal joint of a cable chamber of a ring main unit, and a temperature signal at the three-phase cable terminal joint is monitored through the temperature sensor;
the temperature sensor is connected with the state monitoring front end and 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 a cloud server according to a set communication period;
the cloud server stores the monitoring data, and meanwhile, data preprocessing, algorithm analysis and abnormal fault phase identification are carried out; the cloud server sends real-time monitoring data and an abnormal fault identification result of each phase of cable terminal connector to the client terminal;
and (V) querying historical data and identifying results of abnormal phases of cable terminal joints of each phase of the ring main unit by the user through the client terminal, so as to obtain heating fault conditions.
The invention has the beneficial effects that:
the invention provides an online monitoring system and method for heating faults of a cable terminal joint of a ring main unit, which can not only make up for the defects of the existing detection means, fill the blank of the online monitoring technology of the cable terminal joint of the ring main unit, but also further ensure the safe and stable operation of a power distribution network in a jurisdiction.
Drawings
Fig. 1 is a working principle diagram of the invention.
Fig. 2 is a working principle diagram of a temperature sensor and a state monitoring front end.
Fig. 3 is a flowchart of the work of the cloud server.
FIG. 4 is a flow chart of abnormal phase identification and weight calculation.
Detailed Description
A heating fault on-line monitoring system for a cable terminal connector of a ring main unit 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.
An online monitoring method for heating faults of cable terminal connectors of a ring main unit comprises the following steps:
the method comprises the following steps that (A) a temperature sensor is installed at a three-phase cable terminal joint of a cable chamber of a ring main unit, and a temperature signal at the three-phase cable terminal joint is monitored through the temperature sensor;
the temperature sensor is connected with the state monitoring front end and 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 a cloud server according to a set communication period;
the cloud server stores the monitoring data, and meanwhile, data preprocessing, algorithm analysis and abnormal fault phase identification are carried out; the cloud server sends real-time monitoring data and an abnormal fault identification result of each phase of cable terminal connector to the client terminal;
and (V) querying historical data and identifying results of abnormal phases of cable terminal joints of each phase of the ring main unit by the user through the client terminal, so as to obtain heating fault conditions.
The temperature sensor is installed at a three-phase cable terminal joint flange of a cable chamber of the ring main unit.
As shown in fig. 2, the temperature sensors include A, B, C three groups of temperature sensors, the group a temperature sensor, the group B temperature sensor and the group C temperature sensor are respectively and correspondingly fixed on the surface of a flange of a A, B, C three-phase cable terminal connector, the group a temperature sensor, the group B temperature sensor and the group C temperature sensor are all connected with the front end of the state monitoring, and the temperature sensors work in a passive state.
Each group of temperature sensors comprises temperature measuring probes and is packaged by heat-conducting 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 acquisition 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 online 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 a 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 temperature signals of an ADC port, further eliminates external interference in 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 with certain power to be output, and supplies power to the temperature transmitter, the GPRS module and the MCU module through the inversion voltage stabilizing module.
The MCU module uses time T1Monitoring data are periodically transmitted to the GPRS module, and the GPRS module receives the monitoring data and simultaneously sends the monitoring data to the cloud server.
The T is1Preferably five or ten minutes.
As shown in fig. 3, after the cloud server starts to operate, the cloud server initializes the storage data and the timer T, starts to time after receiving the first monitoring data, stores the received monitoring data, and transmits the monitoring data to the client terminal; when the time reaches T2Stopping storage, and setting the monitoring data stored in the cloud server to be arrays W respectivelyA[na]、WB[nb]、WC[nc]Where W denotes temperature, subscript A, B, C denotes in turn A, B, C three-phase data, na、nb、ncSequentially representing the number of the temperature or electric field intensity data received by each phase; and after the storage of the monitoring data is stopped, carrying out normalization processing, wavelet denoising interpolation transformation, Pearson similarity inspection and abnormal phase identification on the groups in sequence, and finally obtaining an abnormal fault phase identification result.
The T is2Preferably 12 hours or 24 hours.
Because three groups of temperature sensors are respectively arranged on the surface of the flange of the A, B, C-phase cable joint, the positions of the temperature sensors cannot be completely consistent and the initial values of the temperature sensors cannot be ensured to be consistent during actual installation; therefore, in order to make the three groups of monitoring data comparable, the influence of data magnitude and dimension needs to be eliminated, namely, the original data is normalized; the normalization treatment specifically comprises the following steps:
in the formula, Wi[]minThe minimum value in the monitoring data array is obtained; wi[]maxFor maximum values in the monitoring data array, i represents A or B or C, Wi[t]And t represents a serial number for data stored in the cloud server.
The wavelet denoising and interpolation transformation comprises the following steps: in order to smooth the monitored data curve and filter burrs caused by external environment interference, a Discrete Wavelet Transform (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 and interpolation transformation specifically comprises the following steps:
(1) carrying out wavelet denoising on the normalized temperature monitoring data array of each phase to obtain an array subjected to wavelet denoising;
(2) and carrying out interpolation transformation on the array obtained after wavelet denoising.
The wavelet denoising method is specifically as follows:
taking the normalized A-phase temperature monitoring data array as an example, taking a DB wavelet basis as a wavelet function, and decomposing the array;
prepared from W'A[t](t＝1,2,3...na) Decomposing on different scale measurement space j through DB wavelet basis to obtain two coefficients A under the scale measurement space j-11(k) And D1(k) (ii) a Let phij,k(t) is a basis function,. phi.j-1,k(t) is a scale function after decomposition of the first layer, ωj-1,k(t) decomposition of the first layerThe latter wavelet function, namely:
k is a position index and is determined by a filter coefficient of a DB wavelet base, a final scale function is obtained after the formula (2) is subjected to multi-layer decomposition, wavelet components are removed, and therefore main information of monitoring data is reserved, and burrs caused by external environment interference are removed;
the invention adopts four-layer decomposition, and comprises the following steps:
then solve the coefficient A4(k) The MRA equation according to the scale function is:
in the formula h0[n]Is a low-pass filter coefficient, which is derived from the basis functions of the DB wavelet basis, which in turn is derived:
a can be obtained by the above formula iterative computation4(k) Then, the temperature is introduced into the formula (3), so that the A-phase temperature result W of the removed burr data after wavelet de-noising can be obtained "A[na]；
By the same token, a phase B temperature result W "B[nb]And phase C temperature result W "C[nc]。
Array W obtained after wavelet denoising "A[na]、W”B[nb]、W”C[nc]The array lengths are different, and in order to realize the unification of the data lengths and thus the comparability, a cubic spline interpolation method (spli) is adoptedne) interpolate the data, unify to T2/T1A data point.
The interpolation transformation is carried out on the array obtained after the wavelet denoising, and the specific method is as follows: for example, denoised A-phase temperature monitoring data array W "A[na]The number of data is naThen 1 to T2/T1Are equally divided into naPoint, marked as xi，i＝1,2,...naWherein x is1＝1，xna＝T2/T1Each xiCorresponding to a corresponding value W "A[i]Then to xi-W”A[na]And (3) solving by a cubic spline interpolation method, wherein the boundary conditions are as follows:
n is equal to 0, 1a-1 substituting the successive solution to obtain a spline function Si(x) Respectively correspond to [1, x2]、[x2,x3]...、[xna-1,T2/T1]A total of na-1 independent variable interval, followed by 1,22/T1Is brought into a spline function to obtain T2/T1Number of values, form W "A[n]，n＝1,2...T2/T1(ii) a By the same principle, W is obtained "B[n]And W'C[n]，n＝1,2...T2/T1。
The Pearson correlation test specifically comprises the following steps:
after unifying the data length, obtain array W "A[n]、W”B[n]、W”C[n]Each datum is divided into K segments, K is preferably 60 and is marked as W "Aj、W”Bj、W”Cj J 1,2,3, K, per segment T2/(T1K) data points, followed by a correlation test using pearson correlation coefficients to identify abnormal phases.
With W'A[n]、W”B[n]For example, the correlation test formula is:
in the formula (I), the compound is shown in the specification,
is the average of each series;
in the same way, get rj(W”Aj,W”Cj)、rj(W”Bj,W”Cj)。
According to the method, the correlation of A, B, C three-phase temperature monitoring data is compared in pairs, so that abnormal phases can be identified, and if the temperature change trend of a certain phase is obviously different and is irrelevant to other two phases, a heating fault may exist.
As shown in fig. 4, the specific method for identifying the abnormal phase includes: initializing temperature anomaly weight Δ W for each phaseA、ΔWB、ΔWCAfter the data processing of the previous steps, the Pearson correlation coefficient is obtained according to the formula (5) to obtain rj(W”Aj,W”Bj)、rj(W”Aj,W”Cj)、rj(W”Bj,W”Cj) J ═ 1,2,3, K, denoted r respectivelyAB[K]，rAC[K]，rBC[K]；
Taking temperature anomaly identification as an example, r is comparedAB[i]，rAC[i]，rBC[i]Numerical values, wherein i ═ 1,2,3, K; if in a certain group, rAB[i]Greater than 0.6, and two other values rAC[i]、rBC[i]If the temperature data of the A, B phases are related and the temperature data of the C phase is abnormal, the C phase is judged to be abnormal, and the temperature abnormal weight delta W of the C phase is judged to be less than 0.2CRecalculation is performed; by analogy, the delta W can be obtainedA、ΔWB、ΔWCThe final calculation result of (2).
Comparison of Δ WA、ΔWB、ΔWCIf the temperature of a certain phase is abnormalThe weight is obviously greater than the weights of the other two phases, which indicates that the phase possibly has a heating fault, and the cloud server sends prompt information to the client terminal; the cloud server sends an abnormal phase identification result to the client terminal, and the abnormal phase identification result also comprises temperature abnormal weight historical data of each phase, and a 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 is continuously too high, the situation of field investigation should be timely carried out, and the heating fault is eliminated.
The invention provides a looped network cabinet 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 on one hand, and identify the degradation condition through a background algorithm on the other hand, and send the degradation condition to a client terminal in time after identifying an obvious abnormal state to remind a transportation and inspection worker to carry out operation and maintenance in time; the invention provides a system and a method for monitoring the heating fault of a cable terminal joint of a ring main unit, which can make up the defects of the existing detection means, effectively monitor the running state of the cable chamber of the ring main unit in real time, find potential fault defects in real time, fill the blank of the online monitoring technology of the cable terminal joint of the ring main unit, and further ensure the safe and stable running of a power distribution network in a district.
Claims (10)
1. A looped network cabinet cable terminal connector heating fault online monitoring system 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.
2. The method for on-line monitoring by using the on-line monitoring system for the heating fault of the cable terminal joint of the ring main unit as claimed in claim 1, is characterized by comprising the following steps:
the method comprises the following steps that (A) a temperature sensor is installed at a three-phase cable terminal joint of a cable chamber of a ring main unit, and a temperature signal at the three-phase cable terminal joint is monitored through the temperature sensor;
the temperature sensor is connected with the state monitoring front end and 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 a cloud server according to a set communication period;
the cloud server stores the monitoring data, and meanwhile, data preprocessing, algorithm analysis and abnormal fault phase identification are carried out; the cloud server sends real-time monitoring data and an abnormal fault identification result of each phase of cable terminal connector to the client terminal;
and (V) querying historical data and identifying results of abnormal phases of cable terminal joints of each phase of the ring main unit by the user through the client terminal, so as to obtain heating fault conditions.
3. The method as claimed in claim 2, wherein the temperature sensors include A, B, C three groups of temperature sensors, the group a temperature sensor, the group B temperature sensor and the group C temperature sensor are respectively fixed on the flange surface of the A, B, C three-phase cable terminal connector, and the group a temperature sensor, the group B temperature sensor and the group C temperature sensor are all connected with the state monitoring front end; each group of temperature sensors comprises a temperature measuring probe and is packaged by heat-conducting 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 acquisition 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 online 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 a 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 temperature signals of an ADC port, further eliminates external interference in a software filtering mode, and then transmits the signals to the GPRS module; the online power taking module converts alternating current in the cable into voltage with certain power for output, and supplies power to the temperature transmitter, the GPRS module and the MCU module through the inversion voltage stabilizing module; the MCU module uses time T1And transmitting the monitoring data to the GPRS module periodically, and sending the monitoring data to the cloud server while the GPRS receives the monitoring data.
4. The method as claimed in claim 2, wherein the cloud server initializes the storage data and the timer after starting operation, starts timing after receiving the first monitoring data, stores the received monitoring data, and transmits the monitoring data to the client terminal; when the time reaches T2Stopping storage, and setting the monitoring data stored in the cloud server to be arrays W respectivelyA[na]、WB[nb]、WC[nc]Where W denotes temperature, subscript A, B, C denotes in turn A, B, C three-phase data, na、nb、ncSequentially representing the number of the temperature or electric field intensity data received by each phase; and after the storage of the monitoring data is stopped, carrying out normalization processing, wavelet denoising interpolation transformation, Pearson similarity inspection and abnormal phase identification on the groups in sequence, and finally obtaining an abnormal fault phase identification result.
5. The method for on-line monitoring of the heating fault of the cable terminal joint of the ring main unit as claimed in claim 4, wherein the normalization processing is performed by the following specific steps:
in the formula, Wi[]minThe minimum value in the monitoring data array is obtained; wi[]maxFor maximum values in the monitoring data array, i represents A or B or C, Wi[t]And t represents a serial number for data stored in the cloud server.
6. The method for online monitoring of heating faults of cable terminal joints of ring main units according to claim 4, wherein the wavelet denoising interpolation transformation specifically comprises the following steps:
(1) carrying out wavelet denoising on the normalized temperature monitoring data array of each phase to obtain an array subjected to wavelet denoising;
(2) and carrying out interpolation transformation on the array obtained after wavelet denoising.
7. The method for on-line monitoring of heating faults of cable terminal connectors of a ring main unit according to claim 6, wherein the wavelet denoising is performed on the normalized temperature monitoring data arrays of all phases, and the specific method is as follows:
taking the normalized A-phase temperature monitoring data array as an example, taking a DB wavelet basis as a wavelet function, and decomposing the array;
prepared from W'A[t](t＝1,2,3...na) Decomposing on different scale measurement space j through DB wavelet basis to obtain two coefficients A under the scale measurement space j-11(k) And D1(k) (ii) a Let phij,k(t) is a basis function,. phi.j-1,k(t) is a scale function after decomposition of the first layer, ωj-1,k(t) is the wavelet function after the first layer decomposition, namely:
k is a position index and is determined by a filter coefficient of a DB wavelet base, a final scale function is obtained after the formula (2) is subjected to multi-layer decomposition, wavelet components are removed, and therefore main information of monitoring data is reserved, and burrs caused by external environment interference are removed;
the invention adopts four-layer decomposition, and comprises the following steps:
then solve the coefficient A4(k) The MRA equation according to the scale function is:
in the formula h0[n]Is a low-pass filter coefficient, which is derived from the basis functions of the DB wavelet basis, which in turn is derived:
a can be obtained by the above formula iterative computation4(k) Then, the temperature is introduced into the formula (3), so that the A-phase temperature result W of the removed burr data after wavelet de-noising can be obtained "A[na]；
By the same token, a phase B temperature result W "B[nb]And phase C temperature result W "C[nc]。
8. The method for on-line monitoring of heating faults of cable terminal joints of ring main units as claimed in claim 6, wherein the interpolation transformation is performed on the array obtained after wavelet denoising, and the specific method is as follows: denoised A-phase temperature monitoring data array W'A[na]The number of data is naThen 1 to T2/T1Are equally divided into naPoint, marked as xi，i＝1,2,...naWherein x is1＝1，xna＝T2/T1Each xiCorresponding to a corresponding value W "A[i]Then to xi-W”A[na]And (3) solving by a cubic spline interpolation method, wherein the boundary conditions are as follows:
n is equal to 0, 1a-1 substituting the successive solution to obtain a spline function Si(x) Respectively correspond to [1, x2]、[x2,x3]...、[xna-1,T2/T1]A total of na-1 independent variable interval, followed by 1,22/T1Is brought into a spline function to obtain T2/T1Number of values, form W "A[n]，n＝1,2...T2/T1(ii) a By the same principle, W is obtained "B[n]And W'C[n]，n＝1,2...T2/T1。
9. The method for on-line monitoring of heating faults of cable terminal connectors of a ring main unit according to claim 8, wherein the Pearson correlation test specifically comprises the following steps:
with W'A[n]、W”B[n]For example, the correlation test formula is:
in the formula (I), the compound is shown in the specification,
is the average of each series;
in the same way, get rj(W”Aj,W”Cj)、rj(W”Bj,W”Cj)；
According to the method, the correlation of A, B, C three-phase temperature monitoring data is compared in pairs, abnormal phases are identified, and if the temperature change trend of a certain phase is obviously different and irrelevant to other two phases, the abnormal phases have heating faults.
10. The method for on-line monitoring of the heating fault of the cable terminal connector of the ring main unit according to claim 9, wherein the specific method for identifying the abnormal phase comprises the following steps: initializing temperature anomaly weight Δ W for each phaseA、ΔWB、ΔWCAfter the data processing of the previous steps, the Pearson correlation coefficient is obtained according to the formula (5) to obtain rj(W”Aj,W”Bj)、rj(W”Aj,W”Cj)、rj(W”Bj,W”Cj) J ═ 1,2,3, K, denoted r respectivelyAB[K]，rAC[K]，rBC[K]；
Comparison of rAB[i]，rAC[i]，rBC[i]Numerical values, wherein i ═ 1,2,3, K; if in a certain group, rAB[i]Greater than 0.6, and two other values rAC[i]、rBC[i]If the temperature data of the A, B phases are related and the temperature data of the C phase is abnormal, the C phase is judged to be abnormal, and the temperature abnormal weight delta W of the C phase is judged to be less than 0.2CRecalculation is performed; by analogy, the delta W can be obtainedA、ΔWB、ΔWCThe final calculation result of (2);
comparison of Δ WA、ΔWB、ΔWCIf the weight of the temperature anomaly of a certain phase is obviously greater than the weights of other two phases, which indicates that the phase possibly has a heating fault, the cloud server sends prompt information to the client terminal; the cloud server sends an abnormal phase identification result to the client terminal, the abnormal phase identification result also comprises temperature abnormal weight historical data of each phase, and a 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.
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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 |
| CN114629890A (en) * | 2022-05-16 | 2022-06-14 | 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 |
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