CN117907729B - Intelligent comprehensive detection system for high-low voltage power distribution cabinet - Google Patents
Intelligent comprehensive detection system for high-low voltage power distribution cabinet Download PDFInfo
- Publication number
- CN117907729B CN117907729B CN202410309695.5A CN202410309695A CN117907729B CN 117907729 B CN117907729 B CN 117907729B CN 202410309695 A CN202410309695 A CN 202410309695A CN 117907729 B CN117907729 B CN 117907729B
- Authority
- CN
- China
- Prior art keywords
- line
- distribution cabinet
- time
- power distribution
- analysis
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 238000001514 detection method Methods 0.000 title claims abstract description 25
- 230000002159 abnormal effect Effects 0.000 claims abstract description 66
- 238000012423 maintenance Methods 0.000 claims abstract description 20
- 238000007405 data analysis Methods 0.000 claims abstract description 10
- 230000007274 generation of a signal involved in cell-cell signaling Effects 0.000 claims abstract description 4
- 238000004458 analytical method Methods 0.000 claims description 109
- 238000010586 diagram Methods 0.000 claims description 80
- 230000032683 aging Effects 0.000 claims description 22
- 230000003203 everyday effect Effects 0.000 claims description 13
- 230000005856 abnormality Effects 0.000 claims description 10
- 238000012545 processing Methods 0.000 claims description 9
- 102220003816 rs387906480 Human genes 0.000 claims description 6
- 238000004364 calculation method Methods 0.000 claims description 5
- 238000012360 testing method Methods 0.000 claims description 2
- 238000011835 investigation Methods 0.000 abstract description 6
- 238000000034 method Methods 0.000 description 6
- 230000035945 sensitivity Effects 0.000 description 4
- 230000006399 behavior Effects 0.000 description 3
- 230000000694 effects Effects 0.000 description 2
- 238000012544 monitoring process Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000012217 deletion Methods 0.000 description 1
- 230000037430 deletion Effects 0.000 description 1
- 238000007689 inspection Methods 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 230000036962 time dependent Effects 0.000 description 1
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
- G01D21/00—Measuring or testing not otherwise provided for
- G01D21/02—Measuring two or more variables by means not covered by a single other subclass
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R15/00—Details of measuring arrangements of the types provided for in groups G01R17/00 - G01R29/00, G01R33/00 - G01R33/26 or G01R35/00
- G01R15/12—Circuits for multi-testers, i.e. multimeters, e.g. for measuring voltage, current, or impedance at will
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Supply And Distribution Of Alternating Current (AREA)
Abstract
The invention discloses an intelligent comprehensive detection system of a high-low voltage power distribution cabinet, which relates to the technical field of high-low voltage power distribution cabinets and comprises a data acquisition module, an operation data analysis module, a power distortion coefficient range acquisition module, a detection module, an early warning signal generation module and an ultra-abnormal line marking module; the branch line with the abnormal signal and the early warning signal is marked as the super-abnormal line, the branch line with the abnormal phase and power can be marked, related personnel can be warned that the branch line has abnormal conditions in the phase and power, meanwhile, the line position where illegal wiring possibly exists is preliminarily determined through marking the super-abnormal line, and the related personnel can conduct targeted investigation and maintenance on the illegal wiring according to the super-abnormal line mark, and further examination and investigation are conducted in a targeted mode, so that the safety and normal operation of the high-low voltage power distribution cabinet are ensured.
Description
Technical Field
The invention relates to the technical field of high-low voltage power distribution cabinets, in particular to an intelligent comprehensive detection system for a high-low voltage power distribution cabinet.
Background
A high-low voltage power distribution cabinet is an important component in an electric power system for delivering electric energy from a high-voltage power source to a low-voltage load device, and is generally composed of a high-voltage side and a low-voltage side, wherein the high-voltage side receives high-voltage electric energy from an electric network, steps down the high-voltage electric energy into a voltage suitable for the low-voltage load device through a transformer, and then outputs the voltage to the load device through the low-voltage side,
However, during the use of the high-low voltage power distribution cabinet, especially the outdoor high-low voltage power distribution cabinet, the high-low voltage power distribution cabinet is easy to be damaged, the illegal wiring behavior of the high-low voltage power distribution cabinet is carried out by a person while the person is on the machine, the illegal wiring includes unauthorized access to additional equipment or circuits, the illegal wiring is not operated according to the specifications, or the safety protection and metering device is deliberately bypassed, the behavior not only violates the power supply contract, but also endangers the safe operation of the power system, increases the accident risk, and simultaneously causes the power system in the area to have a problem, and has great influence on the life of people;
In the using process of the high-low voltage power distribution cabinet, if illegal wiring exists, abnormal changes can occur to the current and the voltage of the lines in the high-low voltage power distribution cabinet, abnormal conditions can be found through monitoring and analysis of the current and the voltage of each branch line of the high-low voltage power distribution cabinet, the position of the illegal wiring is preliminarily located, the position of the illegal wiring is found, the existence of the illegal wiring can be helped to be detected, the corresponding line position of the illegal wiring is preliminarily determined, and based on the abnormal conditions, the intelligent comprehensive detection system for the high-low voltage power distribution cabinet is provided.
Disclosure of Invention
The invention aims to provide an intelligent comprehensive detection system for a high-voltage and low-voltage power distribution cabinet, which solves the technical problem that illegal wiring behaviors cannot be detected in the use process of the high-voltage and low-voltage power distribution cabinet.
The aim of the invention can be achieved by the following technical scheme:
high low-voltage distribution cabinet intelligence comprehensive testing system includes:
The operation data analysis module is used for analyzing historical current and voltage data of each branch line of the high-voltage and low-voltage power distribution cabinet within a preset time T, drawing a power waveform diagram corresponding to each branch line of the high-voltage and low-voltage power distribution cabinet every day within the preset time T, and obtaining a standard power waveform diagram of each branch line by analyzing the power waveform diagram, wherein T is more than or equal to 1;
The power distortion coefficient range acquisition module is used for calculating and analyzing the distortion coefficient between the power waveform diagram and the power standard waveform diagram of each branch circuit of the high-voltage and low-voltage power distribution cabinet within a preset time T, so as to obtain the power distortion coefficient range corresponding to each branch circuit of the high-voltage and low-voltage power distribution cabinet;
the detection module is used for acquiring real-time current and voltage data of each branch line, drawing real-time waveform diagrams corresponding to the branch lines respectively, comparing and analyzing the real-time waveform diagrams with the corresponding power standard waveform diagrams, judging whether power abnormality exists in each branch line, and generating an abnormal signal for the branch line with the abnormality;
The early warning signal generation module is used for calculating the phase difference of the corresponding branch line according to the real-time current and voltage data corresponding to the branch line for generating the abnormal signal, and generating an early warning signal for the branch line with the phase difference exceeding a preset threshold value;
the super-abnormal line marking module marks the branch line with the abnormal signal and the early warning signal as a super-abnormal line;
The power distortion coefficient range acquisition module comprises an ageing coefficient acquisition unit and a power distortion coefficient adjustment unit, the ageing coefficient acquisition unit is used for acquiring the service time of the high-voltage and low-voltage power distribution cabinet, the maintenance times, the replacement times and the service time of each effective component of the high-voltage and low-voltage power distribution cabinet are respectively corresponding to each branch line, the maintenance times, the replacement times and the service time of each branch line of the high-voltage and low-voltage power distribution cabinet are respectively corresponding to each branch line, the ageing coefficient of each branch line of the high-voltage and low-voltage power distribution cabinet is further acquired, and the corresponding value of the distortion coefficient range of each branch line of the high-voltage and low-voltage power distribution cabinet is updated through the power distortion coefficient adjustment unit.
As a further scheme of the invention: the specific mode for obtaining the operation data standard waveform diagram corresponding to each branch line is as follows:
Setting one day as j time nodes through a standard power acquisition unit, analyzing corresponding current and voltage values of each branch line in each time node, and further obtaining standard power values of each time node, wherein j is greater than or equal to 1;
And drawing to obtain the power standard waveform diagrams respectively corresponding to the branch lines of the high-low voltage power distribution cabinet by using the power standard waveform diagram generating unit, taking each time node as an abscissa and standard power respectively corresponding to each branch line at each time node as an ordinate, and simultaneously marking the coordinates of each data point on each branch line power standard waveform diagram as (Xj, BSij), wherein i refers to the number of the corresponding branch lines in the high-low voltage power distribution cabinet, and simultaneously taking i as the corresponding label of each branch line, wherein i is more than or equal to 1.
As a further scheme of the invention: the specific mode for obtaining standard power of each branch line in each time node is as follows:
A1: an optional one of the branch lines is an analysis line:
A2: selecting one time node from the j time nodes as a target node, and marking the product between the voltage and the current values corresponding to the analysis line at the target node every day within the preset time T as the power values S11 T corresponding to the analysis line at the target node every day within the preset time T; the numerical value meeting the preset formula L1 is marked as S11 a, wherein a refers to the number of the numerical value meeting the preset formula L1 in S11 T, and then the comparison analysis is carried out on the a and the preset value Y1, so that the standard power BS 11 corresponding to the analysis circuit at the target node is obtained, and T is more than or equal to a and is more than or equal to 1;
A3: repeating the steps A1-A2, so as to obtain standard power BS 1j corresponding to each time node of the analysis circuit;
A4: and (3) repeating the steps A1-A3 to obtain the standard power BS ij corresponding to each branch line at each time node.
As a further scheme of the invention: the specific mode for comparing and analyzing the a with the preset value Y1 is as follows:
When a is larger than or equal to a preset value Y1, taking the average value of S11T as the standard power corresponding to the target node of the analysis circuit, and when a is smaller than the preset value Y1, arranging S11T in sequence from small to large, and taking the median as the standard power corresponding to the target node of the analysis circuit.
As a further scheme of the invention: the preset formula L1 is: s11b-S11p |×θ1 > Y2, θ1 being a preset scaling factor, where θ1=1.257, S11p being the mean of S11T, T.gtoreq.b.gtoreq.1.
As a further scheme of the invention: the specific way for obtaining the power distortion coefficient range corresponding to each branch line is as follows:
s1: selecting the same circuit as the circuit in the step A1 from all branch circuits of the high-low voltage power distribution cabinet as an analysis circuit;
S2: randomly selecting one power waveform diagram from the power waveform diagrams corresponding to each day of the analysis circuit in a preset time T as an analysis waveform diagram;
the power value corresponding to each time node on the analysis waveform diagram is marked as S1 1j, and the power value is calculated by the formula Calculating to obtain a distortion coefficient D 1 between the analysis waveform diagram and the power standard waveform diagram, wherein BS 1d refers to standard power values respectively corresponding to each time node on the analysis line on the corresponding power standard waveform diagram, and j is more than or equal to D is more than or equal to 1;
S3: repeating step S2 to obtain distortion coefficients D T between the power waveform diagram corresponding to each day of the analysis circuit in the preset time T and the power standard waveform diagram respectively, and passing through the formula Calculating to obtain a variance value F corresponding to the distortion coefficient D T of the analysis line, when the variance value F is smaller than or equal to a preset value Y3, taking the mean value of D T as a standard distortion coefficient GB 1 corresponding to the analysis line, when the variance value F is larger than the preset value Y3, deleting the value of the corresponding distortion coefficient according to the absolute value of the difference between the distortion coefficient and the mean value according to the order from large to small until the variance value of the residual distortion coefficient is smaller than or equal to the preset value Y3, analyzing the quantity g of the deleted distortion coefficient, and further obtaining a standard distortion coefficient GB 1 corresponding to the analysis line, wherein Dp is the mean value of D T, and T is more than or equal to F is more than or equal to 1;
S4: taking the difference value between the standard distortion coefficient GB 1 corresponding to the analysis line and the preset value Y5 as the lower limit value of the distortion coefficient range of the analysis line, taking the sum between the standard distortion coefficient GB 1 and the preset value Y5 as the upper limit value of the distortion coefficient range of the analysis line, and further obtaining the distortion coefficient range [ GB 1-Y5,GB1 +Y5] corresponding to the analysis line;
s5: and repeating the steps S1-S4, so that the distortion coefficient ranges [ GB i-Y5,GBi +Y5] corresponding to the branch lines of the high-low voltage power distribution cabinet can be obtained, and the distortion coefficient ranges are bound with the corresponding branch lines.
As a further scheme of the invention: the number of the deleted distortion coefficients is analyzed, and the specific mode for obtaining the standard distortion coefficients corresponding to the high-voltage and low-voltage power distribution cabinet is as follows:
If the number of the deleted distortion coefficients is smaller than a preset value Y4, taking the average value of the distortion coefficients D T as a standard distortion coefficient GB 1 corresponding to the analysis line; if the number of the deleted distortion coefficients is greater than or equal to the preset value Y4, taking the average value of the maximum value and the minimum value of the distortion coefficients D T as the standard distortion coefficient GB 1 corresponding to the analysis line.
As a further scheme of the invention: the specific way of generating the abnormal signal is as follows:
S01: selecting the same circuit as the circuit in the step A1 from all branch circuits of the high-low voltage power distribution cabinet as an analysis circuit; according to the sequence from front to back of j time nodes, real-time operation data of continuous r time points of an analysis line are obtained, corresponding real-time currents and voltages of the real-time operation data are marked as UA 1r and IB 1r respectively, and real-time power KP 1r respectively corresponding to continuous r time points of the analysis line is obtained through calculation of UA 1r×IB1r=KP1r, wherein r is more than or equal to 1; by the formula Calculating to obtain a real-time distortion coefficient E 1 corresponding to the analysis line, wherein j is more than or equal to r is more than or equal to c is more than or equal to 1, and BS 1c refers to standard power values corresponding to the analysis line at r time points respectively;
When E 1∈[GB1-Y5,GB1 +Y5], no processing is performed, and when E 1∉∈[GB1-Y5,GB1 +Y5], an abnormal signal of the analysis circuit is generated, and the abnormal signal and a label corresponding to the analysis circuit are output to the display module;
s02: and repeating the step S01, so as to judge whether each branch line generates an abnormal signal or not.
As a further scheme of the invention: the specific mode for generating the early warning signal is as follows:
s001: selecting one of branch lines having an abnormal signal as a target line;
S002: acquiring real-time current and voltage data of a target line according to the sequence from front to back of j time nodes, multiplying corresponding current and voltage at each time point in the continuous r time points, adding the products to obtain the sum of inner products, respectively calculating square sums of the current and the voltage at the continuous r time points, respectively taking square roots of the current and the voltage, dividing the sum of the inner products by the square root of the current and the voltage, finally applying an inverse cosine function to the obtained ratio, further obtaining a phase difference corresponding to the target line, comparing and analyzing the phase difference corresponding to the target line with a preset threshold, generating an early warning signal when the phase difference corresponding to the target line is larger than the preset threshold, outputting the early warning signal and a label corresponding to the target line to a display module, and not performing any processing when the phase difference corresponding to the target line is smaller than or equal to the preset threshold;
S003: and step S002 is repeated to judge whether the branch line generating the abnormal signal has abnormal phase, and at the same time, an early warning signal is generated for the branch line with abnormal phase, and the early warning signal and the corresponding mark number of the branch line are output to the display module.
As a further scheme of the invention: the display module is used for displaying the branch line with the abnormal signal or the early warning signal and displaying the super abnormal line.
The invention has the beneficial effects that:
(1) According to the invention, the power standard waveform diagram and the distortion coefficient range are obtained through analysis of the historical operation data of each branch line, the distortion coefficient between the real-time power waveform diagram and the power standard waveform diagram is calculated, and compared and analyzed with the distortion coefficient range, so that whether the power of the branch line is abnormal can be more accurately judged, an abnormal signal can be timely generated and displayed, the operation state and the power waveform of the branch line can be more comprehensively and accurately monitored and analyzed, the abnormal situation can be timely found and processed, and the reliability and the effect of intelligent comprehensive detection of the high-low voltage power distribution cabinet are improved.
(2) According to the invention, the phase difference of the branch lines is obtained by analyzing the real-time operation data of the branch lines generating the abnormal signals, and is compared and analyzed with the preset threshold value to generate the early warning signals, so that the abnormal phase condition of the branch lines can be timely found to provide early warning information, the operation and maintenance personnel can be helped to find the potential problems existing in each branch line in advance, the operation and maintenance personnel can be helped to correspondingly detect the branch lines with the early warning signals in time, the reliability of the high-low voltage power distribution cabinet is improved, and the fault risk of the high-low voltage power distribution cabinet is reduced.
(3) According to the invention, the branch line with the abnormal signal and the early warning signal is marked as the super-abnormal line, so that the branch line with the abnormal phase and power can be marked and output to the display module together with the marks of the branch line, related personnel can be warned that the branch line has abnormal conditions in both the phase and the power, meanwhile, the line position with the phenomenon of illegal wiring is preliminarily determined through marking the super-abnormal line, the related personnel can conduct targeted investigation and maintenance on the condition of illegal wiring according to the marks of the super-abnormal line, further inspection and investigation are conducted in a targeted manner, the safety and normal operation of the high-low voltage power distribution cabinet are ensured, the potential problems of illegal wiring and the like are effectively prevented and detected, the function of the intelligent comprehensive detection system of the high-low voltage power distribution cabinet is enhanced, the sensitivity and the accuracy of detection are improved, and the safe and stable operation of the high-low voltage power distribution cabinet is facilitated;
(4) According to the invention, the power distortion coefficient ranges corresponding to the branch lines are respectively adjusted according to the aging coefficients, so that the adjustment of the self-adaptive power distortion coefficient ranges is realized, the system is ensured to be capable of dynamically adjusting the power distortion coefficient ranges corresponding to the branch lines according to the actual aging degree of the equipment, and the sensitivity to abnormal conditions and the detection accuracy are improved.
Drawings
The invention is further described below with reference to the accompanying drawings.
FIG. 1 is a schematic diagram of a system frame structure of the present invention;
FIG. 2 is a schematic diagram of a method framework of the present invention;
FIG. 3 is a schematic flow diagram of the marked superexception circuit of the present invention;
FIG. 4 is a schematic diagram of a power waveform diagram and a power standard waveform diagram of an analysis circuit according to the present invention;
Fig. 5 is a schematic diagram of a frame structure of the power distortion coefficient range acquisition module of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Example 1
Referring to fig. 1-4, the intelligent comprehensive detection system for the high-low voltage power distribution cabinet of the invention comprises a data acquisition module, an operation data analysis module, a power distortion coefficient range acquisition module, a detection module, an early warning signal generation module and a superabnormal line marking module;
The data acquisition module is used for acquiring historical operation data corresponding to each branch line in the high-low voltage power distribution cabinet, wherein the operation data comprise current and voltage values, and the current and voltage values corresponding to each branch line in the high-low voltage power distribution cabinet are acquired through a sensor or monitoring equipment;
The operation data analysis module is used for drawing power waveform diagrams corresponding to each branch line of the high-voltage and low-voltage power distribution cabinet in a preset time T according to operation data corresponding to each branch line of the high-voltage and low-voltage power distribution cabinet in a preset time T, analyzing the power waveform diagrams corresponding to each branch line of the high-voltage and low-voltage power distribution cabinet in a preset time T, further obtaining power standard waveform diagrams corresponding to each branch line of the high-voltage and low-voltage power distribution cabinet, wherein the specific mode for obtaining the operation data standard waveform diagrams corresponding to each branch line of the high-voltage and low-voltage power distribution cabinet is as follows:
here, the preset time T is a time period of 160 days from the day of data acquisition, and it should be noted that the day of data acquisition is not counted, and t=160;
Setting one day as j time nodes by operating a standard power acquisition unit in a data analysis module, acquiring current and voltage values of each branch line of the high-low voltage power distribution cabinet in j time nodes every day in preset time T, analyzing corresponding current and voltage values of each branch line in each time node, and further acquiring standard power values of each time node;
The interval duration between j time nodes can be equal interval duration or random interval duration, and related personnel can set according to actual requirements and application scenes, wherein j is more than or equal to 1;
the specific mode for obtaining the standard power corresponding to each time node is as follows:
The method comprises the steps of drawing a time-dependent change curve of power of each branch line by taking a time node as an abscissa and taking the product of current and voltage as an ordinate, namely taking power as an ordinate, wherein the abscissa represents time change, the ordinate represents time change, the shape of a waveform of the power can be intuitively observed, and further, a power waveform diagram corresponding to each branch line of a high-voltage and low-voltage power distribution cabinet every day in a preset time T is obtained, points corresponding to each time node of each branch line on each current waveform diagram are marked as data points, the coordinates corresponding to the data points are (X ij,SijT), i refers to the number of the corresponding branch lines in the high-voltage and low-voltage power distribution cabinet, and i is taken as the corresponding label of each branch line and is more than or equal to 1;
Then, analyzing the power waveform diagram corresponding to each branch line of the high-voltage power distribution cabinet every day in a preset time T, and obtaining the current waveform diagram corresponding to each branch line of the high-voltage power distribution cabinet every day in the preset time T, wherein the ordinate of each data point corresponding to each branch line of the high-voltage power distribution cabinet in the same time node is the power value corresponding to the time node, and analyzing the power value corresponding to each time node, so as to obtain the standard power of each branch line in each time node, wherein the specific mode is as follows:
a1: and (3) selecting one line from all branch lines of the high-low voltage power distribution cabinet as an analysis line:
a2: selecting one time node from j time nodes as a target node at will;
A3: obtaining corresponding voltage and current values of the analysis line at the target node every day within a preset time T, marking the voltage and current values as U11 T and I11 T respectively, and marking the product of the voltage and the current values as power values S11 T of the analysis line at the target node every day within the preset time T respectively;
A4: obtaining the number and the numerical value meeting the preset formula L1 in S11 T, and marking the number and the numerical value as S11 a, wherein a refers to the number meeting the preset formula L1 in S11 T, and T is more than or equal to a and more than or equal to 1;
Comparing a with a preset value Y1, obtaining standard power corresponding to an analysis line at a target node according to an analysis result, when a is more than or equal to Y1, taking the average value S11p of S11 T as standard power BS 11 corresponding to the analysis line at the target node, wherein S11p is the average value of S11 T, S11 T=(S111+S112+……+S11b)/b, T is more than or equal to b is more than or equal to 1, and the specific value of the preset value Y1 is drawn by related personnel according to actual requirements;
When a is less than Y1, S11 T is arranged in a sequence from small to large, then the bit number is taken as standard power BS 11 corresponding to the analysis circuit at the target node, and when T is an odd number, BS 11=S11[(b+1)/2] is taken as standard power BS 11 corresponding to the analysis circuit at the target node;
When T is even, S11 (b/2)+S11(b/2+1)]／2=BS11 is taken as the standard power BS 11 corresponding to the analysis line at the target node; wherein T is greater than or equal to b is greater than or equal to 1, and a preset formula L1 is: the value of S11 b -S11p is multiplied by theta 1 and is larger than Y2, Y2 is a preset value, theta 1 is a preset proportionality coefficient, and the specific value can be drawn by related personnel according to actual requirements and application scenes, wherein theta1=1.257;
a5: repeating the steps A1-A4, and obtaining standard power BS 1j corresponding to each time node of the analysis circuit;
A6: repeating the steps A1-A5, so as to obtain standard power BS ij corresponding to each branch line at each time node;
By operating a power standard waveform diagram generating unit in the data analysis module, taking each time node as an abscissa, taking standard power BS ij corresponding to each branch line at each time node as an ordinate, drawing to obtain a power standard waveform diagram corresponding to each branch line of the high-low voltage power distribution cabinet, and marking the coordinates of each data point on the power standard waveform diagram as (X j,BSij);
the power distortion coefficient range obtaining module is used for calculating distortion coefficients between a power waveform diagram and a power standard waveform diagram corresponding to each branch circuit of the high-voltage power distribution cabinet every day within a preset time T, analyzing the distortion coefficients, and further obtaining power distortion coefficient ranges corresponding to each branch circuit of the high-voltage power distribution cabinet respectively, wherein the specific mode is as follows:
s1: and C, selecting the same circuit as the circuit in the step A1 from all branch circuits of the high-low voltage power distribution cabinet as an analysis circuit:
S2: randomly selecting one power waveform diagram from the power waveform diagrams corresponding to each day of the analysis circuit in a preset time T as an analysis waveform diagram;
acquiring a power value S1 1j corresponding to each time node on the analysis waveform chart through a formula Calculating to obtain a distortion coefficient D 1 between the analysis waveform diagram and the power standard waveform diagram, wherein BS 1d refers to standard power values respectively corresponding to each time node on the analysis line on the corresponding power standard waveform diagram, and j is more than or equal to D is more than or equal to 1;
s3: repeating the step S2, so as to obtain distortion coefficients between the power waveform diagram corresponding to each day of the analysis circuit in the preset time T and the power standard waveform diagram respectively, and marking the distortion coefficients as D T;
The variance processing is carried out on the distortion coefficient D T, and the processing mode is as follows: by the formula Calculating to obtain a variance value F corresponding to an analysis line distortion coefficient D T, wherein Dp is the mean value of D T, and T is more than or equal to F is more than or equal to 1;
When the variance value F is less than or equal to Y3, dp is used as a standard distortion coefficient GB 1 corresponding to the analysis line; when F is more than Y3, deleting the corresponding Df value according to the sequence from big to small according to the values of |D f -Dp|, recalculating the variance value F of the residual Df after each deletion, and recording the number g of the deleted D f until F is less than or equal to Y3, wherein the specific value of Y3 is required to be drawn up by related personnel according to specific application scenes and requirements;
Comparing the number g of the deleted D f with a preset value Y4, and taking Dp as a standard distortion coefficient GB 1 corresponding to the analysis circuit if g is smaller than Y4; if g is more than or equal to Y4, calculating the average value of the maximum value and the minimum value in D f, and taking the average value as a standard distortion coefficient GB 1 corresponding to an analysis line, wherein a specific value of Y4 is required to be drawn up by related personnel according to specific application scenes and requirements;
s4: taking the difference value between the standard distortion coefficient GB 1 corresponding to the analysis line and the preset value Y5 as the lower limit value of the distortion coefficient range of the analysis line, taking the sum of the standard distortion coefficient GB1 and the preset value Y5 as the upper limit value of the distortion coefficient range of the analysis line, and further obtaining the distortion coefficient range [ GB 1-Y5,GB1 +Y5] corresponding to the analysis line, wherein the specific value of Y5 is required to be drawn by related personnel according to specific application scenes and requirements;
S5: repeating the steps S1-S4, so that distortion coefficient ranges [ GB i-Y5,GBi +Y5] corresponding to all branch lines of the high-low voltage power distribution cabinet can be obtained, and the distortion coefficient ranges are bound with all corresponding branch lines;
The detection module acquires real-time operation data of each branch line of the high-low voltage power distribution cabinet from front to back according to a time node, simultaneously draws real-time waveform diagrams corresponding to each branch line respectively, analyzes the real-time waveform diagrams of each branch line respectively corresponding to the power standard waveform diagrams of each branch line respectively, further obtains real-time distortion coefficients corresponding to each branch line respectively, compares and analyzes the real-time distortion coefficients corresponding to each branch line respectively with distortion coefficient ranges corresponding to each branch line respectively, judges whether power abnormality exists in each branch line according to analysis results, generates an abnormal signal for the branch line with the abnormality, and outputs the abnormal signal and the corresponding branch line label to the display module together, and the specific mode for generating the abnormal signal is as follows:
S01: selecting the same circuit as the circuit in the step A1 from all branch circuits of the high-low voltage power distribution cabinet as an analysis circuit;
According to the sequence from front to back of j time nodes, real-time operation data of continuous r time points of an analysis line are obtained, corresponding real-time currents and voltages of the real-time operation data are marked as UA 1r and IB 1r respectively, and real-time power KP 1r respectively corresponding to continuous r time points of the analysis line is obtained through calculation of UA 1r×IB1r=KP1r, wherein r is more than or equal to 1;
by the formula Calculating to obtain a real-time distortion coefficient E 1 corresponding to the analysis line, wherein j is more than or equal to r is more than or equal to c is more than or equal to 1, and BP 1c refers to standard power values respectively corresponding to the analysis line at r time points;
When E 1∈[GB1-Y5,GB1 +Y5], no processing is performed, and when E 1∉∈[GB1-Y5,GB1 +Y5], an abnormal signal of the analysis circuit is generated, and the abnormal signal and a label corresponding to the analysis circuit are output to the display module;
S02: repeating the step S01, judging whether each branch line generates an abnormal signal or not;
The display module is used for displaying the branch line with the same abnormal signal and the corresponding abnormal signal, and reporting the abnormal state of the branch line to operation and maintenance personnel so that the operation and maintenance personnel can take measures in time to solve the problem;
The system comprises a data acquisition module, an operation data analysis module, a power waveform drawing module, a power analysis module and a power analysis module, wherein the data acquisition module and the operation data analysis module can acquire historical operation data of each branch line, draw a power waveform diagram for analysis, monitor and judge the operation state of each branch line more accurately through the power standard waveform diagram and the distortion coefficient range obtained by analysis, find whether the power abnormality exists in each branch line in time, draw a power change curve of each branch line in different time nodes by taking a time node as an abscissa through the standard power acquisition unit in the operation data analysis module, and calculate and obtain the standard power value of each time node, so that the power condition of each branch line in different time periods can be known more comprehensively, and a more accurate basis is provided for abnormality judgment; the power distortion coefficient between the real-time power waveform diagram and the power standard waveform diagram is calculated through the power distortion coefficient range acquisition module, and compared and analyzed with the distortion coefficient range, so that whether the power of the branch line is abnormal or not can be judged more accurately, an abnormal signal can be generated in time and displayed, the running state and the power waveform of the branch line can be monitored and analyzed more comprehensively and accurately, abnormal conditions can be found and processed in time, and the reliability and the effect of intelligent comprehensive detection of the high-low voltage power distribution cabinet are improved: by comprehensively considering the waveform shape and the distortion degree of the current, the system can evaluate the operation state of the power distribution cabinet more comprehensively, and is helpful for finding potential problems and optimizing the operation of the high-low voltage power distribution cabinet.
Example two
As a second embodiment of the present application, when the present application is implemented in practice, compared with the first embodiment, the technical solution of the present embodiment differs from the first embodiment only in that the present embodiment further includes an early warning signal generating module;
The early warning signal generating module acquires real-time operation data corresponding to the branch line generating the abnormal signal, analyzes the real-time operation data, judges whether the branch line generating the abnormal signal has phase abnormality according to an analysis result, generates an early warning signal for the branch line with the phase abnormality, and finally outputs the early warning signal and the label corresponding to the branch line to the display module in a specific mode that:
s001: selecting one of branch lines having an abnormal signal as a target line;
S002: acquiring real-time operation data of a target line at r time points continuously according to the sequence of j time nodes from front to back, and marking corresponding real-time currents and voltages of the target line as UH r and IH r respectively, wherein j is more than or equal to r is more than or equal to 1;
Firstly, multiplying corresponding currents and voltages at each time point in r continuous time points, adding the products to obtain the sum of inner products, respectively calculating the square sums of the currents and the voltages at the r continuous time points, respectively taking square roots of the inner products, dividing the sum of the inner products by the product of the square roots of the currents and the voltages, finally applying an inverse cosine function to the obtained ratio to obtain a phase difference corresponding to a target line, comparing and analyzing the phase difference corresponding to the target line with a preset threshold value, generating an early warning signal when the phase difference corresponding to the target line is larger than the preset threshold value, outputting the early warning signal and a label corresponding to the target line to a display module, and not performing any processing when the phase difference corresponding to the target line is smaller than or equal to the preset threshold value;
The specific formula for obtaining the phase difference corresponding to the target line is as follows: ; wherein arccos is an inverse cosine function, j.gtoreq.r.gtoreq.v.gtoreq.1, Representing the sum of the products of current and voltage over successive r time points,/>Expressed as the square of the sum of the squares of the currents at successive r time points,/>Expressed as the square of the sum of the squares of the voltages at successive r time points;
When the XWC corresponding to the target line is larger than a preset threshold Y6, generating an early warning signal, and when the XWC corresponding to the target line is smaller than or equal to the preset threshold Y6, not performing any processing;
s003: step S002 is repeated, so that whether the branch line generating the abnormal signal has the abnormal phase or not can be judged, meanwhile, an early warning signal is generated for the branch line with the abnormal phase, and the early warning signal and the corresponding mark number of the branch line are output to a display module together, so that operation and maintenance personnel can check and process the signals;
The phase difference of the branch lines is obtained through analysis of real-time operation data of the branch lines generating abnormal signals, the phase difference is compared with a preset threshold value, when the phase difference exceeds the preset threshold value, an early warning signal is generated, the early warning signal and the marks of the branch lines are output to a display module, so that the abnormal phase condition of the branch lines can be timely found to provide early warning information, potential faults and problems are avoided, the early warning signal can be timely generated through the abnormal phase analysis, the operation state of each branch line can be more comprehensively and accurately monitored and analyzed, operation and maintenance personnel can be helped to find the potential problems of each branch line in advance, the operation and maintenance personnel can be helped to correspondingly detect the branch lines with the early warning signals in time, the reliability of the high-low voltage power distribution cabinet is improved, and the fault risk of the high-low voltage power distribution cabinet is reduced.
Example III
As an embodiment three of the present application, when the present application is implemented, compared with the first embodiment and the second embodiment, the technical solution of the present embodiment differs from the first embodiment and the second embodiment only in that the present embodiment further includes a superabnormal line marking module;
The super-abnormal line marking module is used for obtaining branch lines with abnormal signals and early warning signals at the same time, marking the branch lines as super-abnormal lines, and outputting the marks corresponding to the branch lines to the display module;
The branch circuit with the abnormal signal and the early warning signal is marked as the super-abnormal circuit, so that the branch circuit with the abnormal phase and power can be marked and output to the display module together with the marks of the branch circuit, related personnel can be warned that the branch circuit has abnormal conditions in the phase and power, meanwhile, the circuit position with the illegal wiring possibly is preliminarily determined through marking the super-abnormal circuit, the position of the illegal wiring is found, the existence of the illegal wiring can be helped to be detected, the corresponding circuit position of the illegal wiring is preliminarily determined, the related personnel can conduct targeted investigation and maintenance on the illegal wiring according to the marks of the super-abnormal circuit, further examination and investigation are conducted in a targeted manner, the safety and normal operation of the high-low voltage power distribution cabinet are ensured, the potential problems of the illegal wiring and the like are effectively prevented and detected, the functions of the intelligent comprehensive detection system of the high-low voltage power distribution cabinet are enhanced, the sensitivity and the accuracy of the detection are improved, and the safety and the stable operation of the high-low voltage power distribution cabinet are guaranteed.
Example IV
As an embodiment of the present application, referring to fig. 5, in the implementation of the present application, compared with the first, second and third embodiments, the difference between the present embodiment and the first, second and third embodiments is that an aging coefficient obtaining unit and a power distortion coefficient adjusting unit are added for the power distortion coefficient range obtaining module in the present embodiment;
The method comprises the steps that the service time of a high-voltage power distribution cabinet and the service time of the high-voltage power distribution cabinet are obtained through an ageing coefficient obtaining unit, the maintenance times, the replacement times and the service time of each effective component of the high-voltage power distribution cabinet are respectively corresponding to each branch circuit of the high-voltage power distribution cabinet, the maintenance times, the replacement times and the service time of each branch circuit of the high-voltage power distribution cabinet are respectively corresponding to each branch circuit of the high-voltage power distribution cabinet, and the ageing coefficients of the high-voltage power distribution cabinet and the low-voltage power distribution cabinet are obtained through analysis of the high-voltage power distribution cabinet and the ageing coefficients of the high-voltage power distribution cabinet;
The service time length of the high-low voltage power distribution cabinet is marked as DG, the maintenance times, the replacement times and the service time length corresponding to each effective component of the high-low voltage power distribution cabinet are respectively marked as PA v、PBv and PC v, and the maintenance times, the replacement times and the service time length analysis corresponding to each branch line of the high-low voltage power distribution cabinet are respectively marked as ZA i、ZBi and ZC i;
by the formula Calculating to obtain aging coefficients GL corresponding to the high-low voltage power distribution cabinet, wherein v refers to the number of corresponding effective components in the high-low voltage power distribution cabinet, v is more than or equal to x and more than or equal to 1, and calculating to obtain aging coefficients XL i corresponding to each branch line of the high-low voltage power distribution cabinet through GL+ (ZA i×γ1+ZBi×γ2+ZCi×γ3）=XLi), wherein gamma 1, gamma 1 and gamma 3 are preset proportionality coefficients, and specific numerical values are drawn by related personnel;
the power distortion coefficient adjusting unit is used for comprehensively analyzing the distortion coefficient range corresponding to each branch line of the high-voltage and low-voltage power distribution cabinet and the aging coefficient XLI corresponding to each branch line of the high-voltage and low-voltage power distribution cabinet, and further updating the corresponding numerical value of the distortion coefficient range corresponding to each branch line of the high-voltage and low-voltage power distribution cabinet, and the specific mode is as follows:
updating the corresponding values of the distortion coefficient ranges corresponding to the branch lines of the high-voltage and low-voltage power distribution cabinet respectively according to [ GB i--（GBi×XLi）-Y5,GBi-（GBi×XLi) +Y5 ];
it should be noted that, in order to avoid the aging coefficient of the high-voltage and low-voltage power distribution cabinet and the corresponding branch lines thereof from constantly changing during operation, the subsequent calculation and analysis are affected, so that before each time the high-voltage and low-voltage power distribution cabinet works or after a period of time the high-voltage and low-voltage power distribution cabinet works, the corresponding aging coefficient is recalculated, and the distortion coefficient ranges corresponding to the branch lines of the high-voltage and low-voltage power distribution cabinet are updated respectively;
And adjusting the power distortion coefficient ranges corresponding to the branch lines respectively according to the aging coefficients to realize the adjustment of the self-adaptive power distortion coefficient ranges, so that the system can dynamically adjust the power distortion coefficient ranges corresponding to the branch lines respectively according to the actual aging degree of the equipment, and the sensitivity to abnormal conditions and the detection accuracy are improved.
Example five
As an embodiment five of the present application, in the implementation of the present application, compared with the first, second, third and fourth embodiments, the technical solution of the present embodiment is to combine and implement the solutions of the first, second, third and fourth embodiments.
The above formulas are all formulas with dimensionality removed and numerical calculation, the formulas are formulas with the latest real situation obtained by software simulation through collecting a large amount of data, and preset parameters and threshold selection in the formulas are set by those skilled in the art according to the actual situation.
The foregoing is merely illustrative of the present application, and the present application is not limited thereto, and any person skilled in the art will readily recognize that variations or substitutions are within the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Claims (6)
1. High low-voltage distribution cabinet intelligence comprehensive testing system, its characterized in that includes:
The operation data analysis module is used for analyzing historical current and voltage data of each branch line of the high-voltage and low-voltage power distribution cabinet within a preset time T, drawing a power waveform diagram corresponding to each branch line of the high-voltage and low-voltage power distribution cabinet every day within the preset time T, and obtaining a standard power waveform diagram of each branch line by analyzing the power waveform diagram, wherein T is more than or equal to 1;
The power distortion coefficient range acquisition module is used for calculating and analyzing the distortion coefficient between the power waveform diagram and the power standard waveform diagram of each branch circuit of the high-voltage and low-voltage power distribution cabinet within a preset time T, so as to obtain the power distortion coefficient range corresponding to each branch circuit of the high-voltage and low-voltage power distribution cabinet;
the detection module is used for acquiring real-time current and voltage data of each branch line, drawing real-time waveform diagrams corresponding to the branch lines respectively, comparing and analyzing the real-time waveform diagrams with the corresponding power standard waveform diagrams, judging whether power abnormality exists in each branch line, and generating an abnormal signal for the branch line with the abnormality;
The early warning signal generation module is used for calculating the phase difference of the corresponding branch line according to the real-time current and voltage data corresponding to the branch line for generating the abnormal signal, and generating an early warning signal for the branch line with the phase difference exceeding a preset threshold value;
the super-abnormal line marking module marks the branch line with the abnormal signal and the early warning signal as a super-abnormal line;
the display module is used for displaying the branch line with the abnormal signal or the early warning signal and displaying the super-abnormal line at the same time;
the power distortion coefficient range acquisition module comprises an ageing coefficient acquisition unit and a power distortion coefficient adjustment unit, the ageing coefficient acquisition unit is used for acquiring the service time of the high-voltage and low-voltage power distribution cabinet, the maintenance times, the replacement times and the service time of each effective component of the high-voltage and low-voltage power distribution cabinet are respectively corresponding to each branch line of the high-voltage and low-voltage power distribution cabinet, the maintenance times, the replacement times and the service time of each branch line of the high-voltage and low-voltage power distribution cabinet are respectively corresponding to each branch line of the high-voltage and low-voltage power distribution cabinet, the ageing coefficient of each branch line of the high-voltage and low-voltage power distribution cabinet is further acquired, and the corresponding value of the distortion coefficient range of each branch line of the high-voltage and low-voltage power distribution cabinet is updated through the power distortion coefficient adjustment unit;
the specific mode for obtaining the operation data standard waveform diagram corresponding to each branch line is as follows:
setting one day as j time nodes through a standard power acquisition unit, analyzing the corresponding current and voltage values of each branch line in each time node, and further obtaining standard power values respectively corresponding to each time node, wherein j is greater than or equal to 1;
Drawing to obtain power standard waveform diagrams corresponding to all branch lines of the high-low voltage power distribution cabinet respectively by using all time nodes as abscissa and standard power corresponding to all branch lines at all time nodes as ordinate through a power standard waveform diagram generating unit, and marking coordinates of all data points on the power standard waveform diagrams of all branch lines as (Xj, BSij), wherein i refers to the number of the corresponding branch lines in the high-low voltage power distribution cabinet, and i is the label corresponding to each branch line, and i is more than or equal to 1;
the specific way for obtaining the standard power corresponding to each branch line in each time node is as follows:
A1: an optional one of the branch lines is an analysis line:
A2: selecting one time node from the j time nodes as a target node, and marking the product between the voltage and the current values corresponding to the analysis line at the target node every day within the preset time T as the power values S11 T corresponding to the analysis line at the target node every day within the preset time T; the numerical value meeting the preset formula L1 is marked as S11 a, wherein a refers to the number of the numerical value meeting the preset formula L1 in S11 T, and then the comparison analysis is carried out on the a and the preset value Y1, so that the standard power BS 11 corresponding to the analysis circuit at the target node is obtained, and T is more than or equal to a and is more than or equal to 1;
A3: repeating the steps A1-A2, so as to obtain standard power BS 1j corresponding to each time node of the analysis circuit;
A4: repeating the steps A1-A3 to obtain standard power BS ij corresponding to each branch line at each time node;
the specific mode for comparing and analyzing the a with the preset value Y1 is as follows:
When a is greater than or equal to a preset value Y1, taking the average value of the S11T as the standard power corresponding to the target node of the analysis circuit, and when a is smaller than the preset value Y1, arranging the S11T in sequence from small to large, and taking the median as the standard power corresponding to the target node of the analysis circuit;
The preset formula L1 is: s11b-S11p |×θ1 > Y2, θ1 being a preset scaling factor, where θ1=1.257, S11p being the mean of S11T, T.gtoreq.b.gtoreq.1.
2. The intelligent comprehensive detection system of a high-low voltage power distribution cabinet according to claim 1, wherein the specific way for obtaining the power distortion coefficient range corresponding to each branch line respectively is as follows:
s1: selecting the same circuit as the circuit in the step A1 from all branch circuits of the high-low voltage power distribution cabinet as an analysis circuit;
S2: randomly selecting one power waveform diagram from the power waveform diagrams corresponding to each day of the analysis circuit in a preset time T as an analysis waveform diagram;
the power value corresponding to each time node on the analysis waveform diagram is marked as S1 1j, and the power value is calculated by the formula Calculating to obtain a distortion coefficient D 1 between the analysis waveform diagram and the power standard waveform diagram, wherein BS 1d refers to standard power values respectively corresponding to each time node on the analysis line on the corresponding power standard waveform diagram, and j is more than or equal to D is more than or equal to 1;
S3: repeating step S2 to obtain distortion coefficients D T between the power waveform diagram corresponding to each day of the analysis circuit in the preset time T and the power standard waveform diagram respectively, and passing through the formula Calculating to obtain a variance value F corresponding to the distortion coefficient D T of the analysis line, when the variance value F is smaller than or equal to a preset value Y3, taking the mean value of D T as a standard distortion coefficient GB 1 corresponding to the analysis line, when the variance value F is larger than the preset value Y3, deleting the value of the corresponding distortion coefficient according to the absolute value of the difference between the distortion coefficient and the mean value according to the order from large to small until the variance value of the residual distortion coefficient is smaller than or equal to the preset value Y3, analyzing the quantity g of the deleted distortion coefficient, and further obtaining a standard distortion coefficient GB 1 corresponding to the analysis line, wherein Dp is the mean value of D T, and T is more than or equal to F is more than or equal to 1;
S4: taking the difference value between the standard distortion coefficient GB 1 corresponding to the analysis line and the preset value Y5 as the lower limit value of the distortion coefficient range of the analysis line, taking the sum between the standard distortion coefficient GB 1 and the preset value Y5 as the upper limit value of the distortion coefficient range of the analysis line, and further obtaining the distortion coefficient range [ GB 1-Y5,GB1 +Y5] corresponding to the analysis line;
s5: and repeating the steps S1-S4, so that the distortion coefficient ranges [ GB i-Y5,GBi +Y5] corresponding to the branch lines of the high-low voltage power distribution cabinet can be obtained, and the distortion coefficient ranges are bound with the corresponding branch lines.
3. The intelligent comprehensive detection system of the high-low voltage power distribution cabinet according to claim 2, wherein the number of the deleted distortion coefficients is analyzed, and the specific mode for obtaining the standard distortion coefficients corresponding to the high-low voltage power distribution cabinet is as follows:
If the number of the deleted distortion coefficients is smaller than a preset value Y4, taking the average value of the distortion coefficients D T as a standard distortion coefficient GB 1 corresponding to the analysis line; if the number of the deleted distortion coefficients is greater than or equal to the preset value Y4, taking the average value of the maximum value and the minimum value of the distortion coefficients D T as the standard distortion coefficient GB 1 corresponding to the analysis line.
4. The intelligent comprehensive detection system of a high-low voltage power distribution cabinet according to claim 3, wherein the specific mode of generating the abnormal signal is as follows:
S01: selecting the same circuit as the circuit in the step A1 from all branch circuits of the high-low voltage power distribution cabinet as an analysis circuit; according to the sequence from front to back of j time nodes, real-time operation data of continuous r time points of an analysis line are obtained, corresponding real-time currents and voltages of the real-time operation data are marked as UA 1r and IB 1r respectively, and real-time power KP 1r respectively corresponding to continuous r time points of the analysis line is obtained through calculation of UA 1r×IB1r=KP1r, wherein r is more than or equal to 1; by the formula Calculating to obtain a real-time distortion coefficient E 1 corresponding to the analysis line, wherein j is more than or equal to r is more than or equal to c is more than or equal to 1, and BS 1c refers to standard power values corresponding to the analysis line at r time points respectively;
When E 1∈[GB1-Y5,GB1 +Y5], no processing is performed, and when E 1∉∈[GB1-Y5,GB1 +Y5], an abnormal signal of the analysis circuit is generated, and the abnormal signal and a label corresponding to the analysis circuit are output to the display module;
s02: and repeating the step S01, so as to judge whether each branch line generates an abnormal signal or not.
5. The intelligent comprehensive detection system of the high-low voltage power distribution cabinet according to claim 4, wherein the specific mode for generating the early warning signal is as follows:
s001: selecting one of branch lines having an abnormal signal as a target line;
S002: acquiring real-time current and voltage data of a target line according to the sequence from front to back of j time nodes, multiplying corresponding current and voltage at each time point in the continuous r time points, adding the products to obtain the sum of inner products, respectively calculating square sums of the current and the voltage at the continuous r time points, respectively taking square roots of the current and the voltage, dividing the sum of the inner products by the square root of the current and the voltage, finally applying an inverse cosine function to the obtained ratio, further obtaining a phase difference corresponding to the target line, comparing and analyzing the phase difference corresponding to the target line with a preset threshold, generating an early warning signal when the phase difference corresponding to the target line is larger than the preset threshold, outputting the early warning signal and a label corresponding to the target line to a display module, and not performing any processing when the phase difference corresponding to the target line is smaller than or equal to the preset threshold;
S003: and step S002 is repeated to judge whether the branch line generating the abnormal signal has abnormal phase, and at the same time, an early warning signal is generated for the branch line with abnormal phase, and the early warning signal and the corresponding mark number of the branch line are output to the display module.
6. The intelligent comprehensive detection system of the high-low voltage power distribution cabinet according to claim 5, wherein the specific mode for obtaining the aging coefficients corresponding to each branch line of the high-low voltage power distribution cabinet is as follows:
The service time length of the high-low voltage power distribution cabinet is marked as DG, the maintenance times, the replacement times and the service time length corresponding to each effective component of the high-low voltage power distribution cabinet are respectively marked as PA v、PBv and PC v, and the maintenance times, the replacement times and the service time length analysis corresponding to each branch line of the high-low voltage power distribution cabinet are respectively marked as ZA i、ZBi and ZC i;
by the formula And calculating to obtain an aging coefficient GL corresponding to the high-low voltage power distribution cabinet, and calculating to obtain an aging coefficient XL i corresponding to each branch line of the high-low voltage power distribution cabinet through GL+ (ZA i×γ1+ZBi×γ2+ZCi×γ3）=XLi), wherein v refers to the number of corresponding effective components in the high-low voltage power distribution cabinet, v is more than or equal to x and more than or equal to 1, and gamma 1, gamma 1 and gamma 3 are all preset proportional coefficients.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202410309695.5A CN117907729B (en) | 2024-03-19 | 2024-03-19 | Intelligent comprehensive detection system for high-low voltage power distribution cabinet |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202410309695.5A CN117907729B (en) | 2024-03-19 | 2024-03-19 | Intelligent comprehensive detection system for high-low voltage power distribution cabinet |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN117907729A CN117907729A (en) | 2024-04-19 |
| CN117907729B true CN117907729B (en) | 2024-06-11 |
Family
ID=90682328
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202410309695.5A Active CN117907729B (en) | 2024-03-19 | 2024-03-19 | Intelligent comprehensive detection system for high-low voltage power distribution cabinet |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN117907729B (en) |
Families Citing this family (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN118566627B (en) * | 2024-08-01 | 2024-10-11 | 甘肃巨腾电力设备有限公司 | Inspection system and method before power transmission of high-voltage switch cabinet |
| CN118646160B (en) * | 2024-08-09 | 2024-11-01 | 湖南华能电气有限公司 | Remote monitoring method for high-low voltage switch cabinet |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US5839092A (en) * | 1997-03-26 | 1998-11-17 | Square D Company | Arcing fault detection system using fluctuations in current peaks and waveforms |
| CN109980778A (en) * | 2019-03-07 | 2019-07-05 | 国网安徽省电力有限公司电力科学研究院 | A kind of dry reactor monitoring method and its device based on waveform reduction technique |
| CN110707539A (en) * | 2019-10-23 | 2020-01-17 | 湖南银远电气有限公司 | Control detection device for power transmission and distribution |
| CN112269097A (en) * | 2020-09-23 | 2021-01-26 | 中国人民解放军海军工程大学 | Integrated power edge computing system and control method |
| CN117149576A (en) * | 2023-09-18 | 2023-12-01 | 湖南湘谷大数据科技有限公司 | Equipment state monitoring method and system for data center |
Family Cites Families (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR100998577B1 (en) * | 2007-08-29 | 2010-12-07 | 주식회사 와튼 | Aging status diognostic equipment for power conversion system, and method their of |
| US7622911B2 (en) * | 2007-10-18 | 2009-11-24 | Intellimeter Canada, Inc. | Electrical power metering device and method of operation thereof |
| CN109416379B (en) * | 2016-04-22 | 2021-01-29 | 戴普赛斯股份公司 | Method for determining mutual inductance voltage sensitivity coefficient among multiple measurement nodes of power network |
| KR20190028171A (en) * | 2017-09-08 | 2019-03-18 | (주)토즈테크 | Power distribution box equipped with leakage resistance type current detector |
-
2024
- 2024-03-19 CN CN202410309695.5A patent/CN117907729B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US5839092A (en) * | 1997-03-26 | 1998-11-17 | Square D Company | Arcing fault detection system using fluctuations in current peaks and waveforms |
| CN109980778A (en) * | 2019-03-07 | 2019-07-05 | 国网安徽省电力有限公司电力科学研究院 | A kind of dry reactor monitoring method and its device based on waveform reduction technique |
| CN110707539A (en) * | 2019-10-23 | 2020-01-17 | 湖南银远电气有限公司 | Control detection device for power transmission and distribution |
| CN112269097A (en) * | 2020-09-23 | 2021-01-26 | 中国人民解放军海军工程大学 | Integrated power edge computing system and control method |
| CN117149576A (en) * | 2023-09-18 | 2023-12-01 | 湖南湘谷大数据科技有限公司 | Equipment state monitoring method and system for data center |
Non-Patent Citations (3)
| Title |
|---|
| 改进相位差测量在感应加热电源频率跟踪中的应用;王晓兰;于国康;王龙;;测控技术;20170818(第08期);35-38 * |
| 智能变电站电子式电流互感器异常导致保护异常动作分析及防控措施;邵昱;林慧;董锐;管晓峰;;河南电力技术;20171215(第04期);22-24+27 * |
| 高密度光伏接入配电网的电能质量及解决方案研究;潘望;中国优秀硕士学位论文全文数据库 工程科技Ⅱ辑;20150131(第01期);1-61 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN117907729A (en) | 2024-04-19 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN117907729B (en) | Intelligent comprehensive detection system for high-low voltage power distribution cabinet | |
| CN114430199A (en) | Cubical switchboard operation supervisory systems based on big data | |
| CN105067963B (en) | Distribution Network Failure method for early warning and system based on transient-wave | |
| CN103543393B (en) | The diagnostic method of a kind of combined electrical apparatus partial-discharge and detection system | |
| CN112465382A (en) | Intelligent production management system for plastic film for food | |
| US10685084B2 (en) | Device and method for managing risk in area | |
| EP2143185B1 (en) | Method and device for capturing a fault in an electrical supply grid | |
| CN112650608B (en) | Abnormal root cause positioning method, related device and equipment | |
| CN116660672B (en) | Power grid equipment fault diagnosis method and system based on big data | |
| CN117522380B (en) | Fault mechanism operation and maintenance period management system based on thermoelectric operation and maintenance | |
| CN113298498A (en) | Management system based on industrial Internet of things platform | |
| CN117929909B (en) | Hidden danger detection system for high-voltage switch cabinet | |
| CN116885858A (en) | Power distribution network fault processing method and system based on digital twin technology | |
| CN117833454A (en) | Risk management platform for big data of power grid | |
| CN117763471A (en) | Digital power distribution network fault processing system and method | |
| CN108549980B (en) | Panoramic visual-based power quality monitoring method and system and computer equipment | |
| CN117118087B (en) | Power equipment monitoring and early warning system and method | |
| CN118169507A (en) | Power distribution network fault diagnosis and early warning system based on big data | |
| CN118074314A (en) | Dynamic vulnerability monitoring system for transmission and distribution network | |
| CN114460519A (en) | On-site and terminal fusion management system and method based on power transformer inspection | |
| CN117783689A (en) | Intelligent defect assessment method for basin-type insulator of extra-high voltage GIS equipment | |
| CN117289745A (en) | Operation monitoring method for digital power distribution room | |
| CN116859842A (en) | Chemical production line safety evaluation system | |
| CN115684855A (en) | Electric power equipment internal insulation defect discharge quantity quantification method and system based on twin model | |
| CN115343558A (en) | Fault analysis and detection system of low-voltage apparatus |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |