CN115877268A - Positioning monitoring and alarming method for L-N leakage point in intelligent lighting system - Google Patents
Positioning monitoring and alarming method for L-N leakage point in intelligent lighting system Download PDFInfo
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Abstract
The invention discloses a positioning monitoring and alarming method for an L-N leakage point in an intelligent lighting system, which comprises the steps of carrying out normalization correction on perception data in the intelligent lighting system to obtain corrected perception data, calculating to obtain parameter item data, fitting the parameter item data by using a fitting compensation function according to a fitting target line to obtain an initialized balanced data line, and using the initialized balanced data line as a compared data reference line; analyzing the corrected sensing data by using a RANSAC algorithm and combining a lamp aging curve to obtain tolerance upper and lower limit data lines of the data datum line, and taking the tolerance upper and lower limit data lines as compared alarm data lines; and fitting the sensing data acquired daily at regular intervals in a data processing layer of the intelligent lighting system, and comparing the data reference line with the alarm data line to realize positioning monitoring and alarm of the leakage point between the L and the N.
Description
Technical Field
The invention belongs to the technical field of intelligent lighting systems, and particularly relates to a positioning monitoring and alarming method for an L-N leakage point in an intelligent lighting system.
Background
The power management of old and old urban areas in the existing urban lighting operation and maintenance market is always a big problem. The old and old urban street lamp lighting power supply circuit is complex in wiring, long in service life, and frequent in the situations of 'overhead lines' and 'flying lines'. In this case, the line inspection is time-consuming and labor-consuming, and the operation and maintenance investment cost is increased year by year as the time is increased. Meanwhile, the municipal lighting line leakage point position judging method in the market is based on the traditional operation and maintenance thought, and sends out experienced personnel to perform on-site pavement investigation or 1/2 method line breaking investigation, so that the timeliness is poor, and a large amount of manpower, energy and material resources are consumed; the method for positioning the leakage point position of the high-voltage transmission line (usually adopting a sensor and other methods) is not suitable for being used in urban lighting lines due to high cost.
Disclosure of Invention
The invention provides a positioning monitoring and alarming method for an L-N leakage point in an intelligent lighting system, which is used for solving the technical problems of poor timeliness, high cost and large consumption of manpower and material resources in the traditional detection of the leakage point.
In order to solve the technical problems, the invention is realized by the following technical scheme: a positioning monitoring and alarming method for an L-N leakage point in an intelligent lighting system is characterized in that perception data in the intelligent lighting system are subjected to normalization correction to obtain corrected perception data, parameter item data are obtained through calculation, a fitting compensation function is applied to fit the parameter item data according to a fitting target line to obtain an initialized balanced data line, and the initialized balanced data line is used as a compared data reference line; analyzing the corrected sensing data by using a RANSAC algorithm and combining a lamp aging curve to obtain tolerance upper and lower limit data lines of the data reference line, and taking the tolerance upper and lower limit data lines as compared alarm data lines; and fitting the sensing data acquired daily at regular intervals in a data processing layer of the intelligent lighting system, and comparing the data reference line with the alarm data line to realize positioning monitoring and alarm of the leakage point between the L and the N.
Preferably, the fitting target line is a data line formed by calculating the average value of parameter item data of theoretical calculation data or perception data.
Preferably, the theoretical calculation data line is subjected to actual measurement correction periodically to obtain a corrected theoretical calculation data line, and the corrected theoretical calculation data line is close to the actual working condition and is used for improving the environmental applicability and the warning accuracy of the monitoring and warning method.
Preferably, the parameter item data is one of pressure drop data or impedance data.
Preferably, the fitting is used for forming a new balance data line as a data reference line after removing the existing abnormal factors in the existing line, and establishing a reasonable, practical and high-sensitivity alarm target.
Preferably, the upper and lower limit data of the tolerance of the data datum line are obtained by combining the corrected sensing data obtained in a certain time period with a lamp aging curve through a big data analysis algorithm, and the big data analysis algorithm is a RANSAC algorithm.
Preferably, the positioning monitoring and alarming method for the L-N leakage point in the intelligent lighting system is applied to a data layer of an Internet of things platform for data processing.
Preferably, the method for monitoring and alarming the positioning of the L-N leakage point in the intelligent lighting system specifically comprises the following steps:
s1, for cables in the intelligent lighting system, theoretical calculation data lines of parameter item data are obtained according to ohm' S law and a line resistance formula, and the theoretical calculation data lines specifically comprise:
In the formula two, U Principal i Switching the voltage at the connection point of the lamp pole for the main cable of a certain lamp pole, U i perception In order to sense the value of the data voltage,
in order to sense the pressure difference generated by the line resistance between the main cable and the main cable, the value of the pressure difference is related to the installation position of the sensing terminal;
In the third formula, rho is the resistivity of the wire material, s is the nominal section of the wire, and l i Is the length of the wire, k t Is the temperature coefficient of the resistance of the relevant material, t is the actual operating temperature, t 0 Is 20 degrees, k Wire(s) Actual measurement correction for reference in theoretical calculationPositive coefficient, Y S Is the skin effect coefficient, Y P F is a proximity effect coefficient, f is a geometric mean distance (mm) between three-phase wires, d is a wire outer diameter (mm), and mu is the relative permeability of a wire material, and for non-ferrous metals mu =1;
the horizontal axis of the theoretical calculation data line is the cable distance divided according to the actual sensing terminal deployment node, and the vertical axis of the theoretical calculation data line is a parameter item data value;
s2, according to the deviation caused by the self material, temperature and aging of the cable system with intelligent illumination, actually measuring and correcting the theoretical calculation data line to obtain a corrected theoretical calculation data line, so that the corrected theoretical calculation data line is close to the actual working condition;
s3, carrying out normalization correction on the metering modules of the sensing terminal hardware in the intelligent lighting system by using the same equipment, and eliminating equipment metering errors in the sensing data;
s4, periodically correcting the current value of a load lamp in the intelligent lighting system according to a lamp aging curve so as to reduce the influence of the lamp aging on the perception data analysis;
s5, when the intelligent lighting system is put into use for the first time, computing normalized and corrected initial sensing data acquired by the sensing terminal by applying an ohm law to obtain a sensing data line corresponding to parameter item data, wherein the horizontal axis of the sensing data line of the parameter item data is a cable distance divided according to an actual sensing terminal deployment node, and the vertical axis of the sensing data line of the parameter item data is a parameter item data value;
s6, when the intelligent lighting system is put into use for the first time, the corrected theoretical calculation data line is used as a target, a fitting function f (n) is adopted to fit the perception data line of the parameter item data to obtain an initialization balance data line, the horizontal axis of the initialization balance data line is the cable distance divided according to the actual perception terminal deployment node, the vertical axis of the initialization balance data line is a parameter item data value, the initialization balance data line eliminates the existing electric leakage or other abnormal influences in the existing power supply system and serves as a data reference line of a subsequent analysis sample:
Wherein
Or
Or
In formula I, Z 0 Calculating a parameter item value according to sensing data, wherein Z is the parameter item value after fitting compensation, f (N) is a fitting compensation function, and N is a sensing node serial number (1, 2,3, \8230;) on the same L-N loop;
in the formula 1 to 3, the ratio of the total weight of the rubber,
for the reference compensation amount, the accumulation term is the fluctuation correction of the reference compensation amount, S is the interval of each segment of nodes, T is the total number of nodes, a n 、b n 、c n 、d n All the fitting coefficients are fitting coefficients, and fitting coefficient data values obtained by initial fitting are obtained;
s7, the fitting coefficient of the fitting compensation function has an allowable variance range with the fitting coefficient data value as a central value, and parameter item data lines obtained by correspondingly using upper and lower limit data of the allowable variance of the fitting coefficient are respectively used as alarm data lines in the intelligent lighting system;
and S8, in subsequent detection application, fitting a data line obtained by calculating and iterating daily perception data by using a fitting coefficient of the fitting compensation function, comparing the data line with the initialized balanced data line, and if a sudden change point exceeding the alarm data line exists in comparison, wherein the sudden change point is a leakage point position.
Preferably, the correction factor of the current value of the load lamp is 0.8% -1.2%/10000 hours.
Preferably, the correction factor of the actual measurement correction in the step S2 is 4% -5%
Compared with the prior art, the invention has the following beneficial effects:
the big data core of the Internet of things is sensing data, the urban lighting terminal is a power distribution cabinet and a lighting lamp, the sensing hardware integrated controller is adopted to collect and control parameters and states of the power distribution cabinet, and the single lamp controller is adopted to collect and control parameters and states of the lighting lamp. The method comprises the steps that relevant perception data of the urban lighting terminal collected by the intelligent lighting system are used, in the initial stage of system operation, after correction is carried out by adopting a normalization correction method and a lamp aging correction method, the corrected perception data are determined by using an iteration method, and parameter item data are obtained through calculation; correcting the theoretical calculation data line of the voltage or the impedance through actual measurement to obtain a corrected theoretical calculation data line which is close to the actual working condition as much as possible; fitting the parameter data by applying a fitting compensation function by taking the corrected theoretical calculation data line as a fitting target line to obtain an initialized balance data line, and taking the initialized balance data line as a compared data reference line; analyzing the corrected sensing data by using a RANSAC algorithm and combining a lamp aging curve to obtain tolerance upper and lower limit data lines of the data datum line, and taking the tolerance upper and lower limit data lines as compared alarm data lines; the sensing data collected daily is fitted regularly on the data processing layer of the intelligent lighting system, and the data datum line and the alarm data line are compared, so that positioning monitoring and alarm of the electric leakage point are achieved, the electric leakage point position determining time is greatly shortened through the detection method of the electric leakage point position, the sensing data of the urban intelligent lighting system are fully utilized, the alarm data line is determined through a big data algorithm, manpower and material resources are saved in the process of checking the electric leakage point position in practical application, and the intelligent lighting system has the beneficial effects of low cost and high timeliness.
Drawings
FIG. 1 is a diagram illustrating a function package of the detection method of the present invention.
Fig. 2 is a schematic diagram of the circuit.
Fig. 3 is a theoretical calculation data line of impedance.
FIG. 4 is a theoretical calculation data line after the correction of the impedance of the embodiment.
FIG. 5 is a diagram illustrating an abnormal impedance data line according to an embodiment.
FIG. 6 is a comparison graph of the impedance data line and the data reference line and the alarm data line according to the embodiment.
FIG. 7 is a distribution diagram of lamps verified by the method of the embodiment.
Fig. 8 is a table of perceptual data for a verification process of an embodiment method.
FIG. 9 is a comparison of the values of the parameters of the verification process of the example method.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be obtained by a person skilled in the art without making any creative effort based on the embodiments in the present invention, belong to the protection scope of the present invention.
Referring to fig. 1 to 6, in an urban lighting power supply system, under the condition that other external electrical devices are not considered, a schematic diagram of a circuit principle is shown in fig. 2, the invention discloses a method for positioning, monitoring and alarming an L-N inter-leakage point in an intelligent lighting system, a schematic diagram of a function program package of the method is shown in fig. 1, and the method specifically comprises the following steps,
s1, for cables in the intelligent lighting system, theoretical calculation data lines of parameter item data are obtained according to ohm law and a line resistance formula, and the method specifically comprises the following steps:
In the second formula, U Principal i Switching the voltage at the connection point of the lamp pole for the main cable of a certain lamp pole, U i perception In order to sense the value of the data voltage,
for sensing the pressure generated by the wire resistance between the main cable and the cableThe difference is related to the installation position of the sensing terminal in value;
formula III
In the third formula, rho is the resistivity of the wire material, s is the nominal section of the wire, and l i Is the length of the wire, k t Is the temperature coefficient of the resistance of the relevant material, t is the actual operating temperature, t 0 Is 20 degrees, k Wire(s) Measured correction factor, Y, introduced for theoretical calculation S Is the skin effect coefficient, Y P F is a proximity effect coefficient, f is a geometric mean distance (mm) between three-phase wires, d is a wire outer diameter (mm), and mu is the relative permeability of a wire material, and for non-ferrous metals mu =1;
the horizontal axis of the theoretical calculation data line is the cable distance divided according to the actual sensing terminal deployment node, and the vertical axis of the theoretical calculation data line is a parameter item data value. The theoretical calculation data line of the impedance is shown in figure 3, the abscissa in figure 3 represents a lamp post node in the intelligent lighting system, and the ordinate represents a theoretical impedance value;
s2, actually measuring and correcting the theoretical calculation data line according to the deviation caused by the self material, the temperature and the aging of the intelligent lighting cable system to obtain a corrected theoretical calculation data line, enabling the corrected theoretical calculation data line to be close to the actual working condition, wherein the corrected theoretical calculation data line is as shown in the attached drawing 4, the abscissa in the attached drawing 4 represents a lamp post node in the intelligent lighting system, and the ordinate represents the corrected theoretical calculation impedance value;
s3, carrying out normalization correction on the metering modules of the sensing terminal hardware in the intelligent lighting system by using the same equipment, and eliminating equipment metering errors in the sensing data;
s4, periodically correcting the current value of a load lamp in the intelligent lighting system according to a lamp aging curve so as to reduce the influence of the self aging of the lamp in the perception data analysis, wherein the correction value of the current value of a power supply loop of the lamp is 1%/ten thousand hours;
s5, when the intelligent lighting system is put into use for the first time, the normalized and corrected initial sensing data collected by the sensing terminal are calculated by applying an ohm law to obtain a sensing data line corresponding to an impedance value;
s6, when the intelligent lighting system is put into use for the first time, the corrected theoretical calculation data line is used as a target, a fitting function is adopted to fit the perception data line of the parameter item data to obtain an initialized balance data line, the horizontal axis of the initialized balance data line is the cable distance divided according to the actual perception terminal deployment nodes, the vertical axis of the initialized balance data line is a parameter item data value, the initialized balance data line eliminates the existing electric leakage or other abnormal influences in the existing power supply system and is used as a data reference line of a subsequent analysis sample:
Wherein
Or
Or
In formula I, Z 0 Calculating a parameter item value according to sensing data, wherein Z is the parameter item value after fitting compensation, f (N) is a fitting compensation function, and N is a sensing node serial number (1, 2,3, \8230;) on the same L-N loop;
in the formula 1 to 3, the ratio of the total weight of the rubber,
for the reference compensation amount, the accumulation term is the fluctuation correction of the reference compensation amount, S is the interval of each segment of nodes, T is the total number of nodes, a n 、b n 、c n 、d n All the fitting coefficients are fitting coefficients, and fitting coefficient data values obtained by initial fitting are obtained;
s7, the fitting coefficient of the fitting compensation function has an allowable variance range with the fitting coefficient data value as a central value, and parameter item data lines obtained by correspondingly using upper and lower limit data of the allowable variance of the fitting coefficient are respectively used as alarm data lines in the intelligent lighting system;
and S8, in subsequent detection application, fitting a data line obtained by calculating and iterating daily perception data by using a fitting coefficient of the fitting compensation function, comparing the data line with the data reference line, and if a mutation point exceeding the alarm data line exists in comparison, determining the mutation point as a leakage point position.
The schematic diagram of the abnormal impedance data line is shown in fig. 5, the horizontal axis represents a lamp post node in the intelligent lighting system, the vertical axis represents a corrected impedance value, and when a sudden change occurs between the lamp post nodes 3-4, the leakage point position can be determined.
The comparison between the parameter item data line (impedance data line) obtained by daily perception data, the data datum line and the alarm data line is shown in the attached drawing 6, the horizontal axis in the attached drawing 6 represents a lamp post node in the intelligent lighting system, and the data line obtained by daily perception data calculation iteration is fitted by using the fitting coefficient of the correction compensation function and is compared with the initialization balance data line.
Referring to fig. 7 to 9, the verification test is performed on the detection method, specifically, the verification test data selects the modified lamp rule road segment, specifically, the lamp belongs to a phase change 1 loop, and phase a is marked as K1A. The lamp numbers are respectively: kokou 083, 085, 089, 091; 084. 086, 088, 092; 87 and 90 belong to a 1 loop C phase and are marked as K1C, specifically, as shown in the attached figure 7, the acquired data of a test object and an impedance calculated value are respectively shown in the attached figures 8 and 9, and it can be seen from the data in the above figures that the difference distribution of the actual sensing data and the theoretically calculated value does not form normal distribution and the logic trend lines are approximately the same, and when a universal meter is used on site to simply test the leakage current data of the loop 1 and the road condition (newly-built road section), the condition that the main cable insulation leakage does not exist in the test object conforms to the conclusion obtained by the data line.
The foregoing lists merely illustrate specific embodiments of the invention. It is obvious that the invention is not limited to the above embodiments, but many similar modifications are possible, and all variations that can be derived or suggested from the disclosure of the invention by a person skilled in the art are to be considered within the scope of the invention as defined in the appended claims.
Claims (10)
1. A positioning monitoring and alarming method for an L-N leakage point in an intelligent lighting system is characterized in that perception data in the intelligent lighting system are normalized and corrected to obtain corrected perception data, parameter item data are obtained through calculation, a fitting compensation function is applied to fit the parameter item data according to a fitting target line to obtain an initialized balanced data line, and the initialized balanced data line is used as a compared data reference line; analyzing the corrected sensing data by using a RANSAC algorithm and combining a lamp aging curve to obtain tolerance upper and lower limit data lines of the data datum line, and taking the tolerance upper and lower limit data lines as compared alarm data lines; and fitting the sensing data acquired daily at regular intervals in a data processing layer of the intelligent lighting system, and comparing the data reference line with the alarm data line to realize positioning monitoring and alarm of the leakage point between the L and the N.
2. The intelligent lighting system as claimed in claim 1, wherein the fitted target line is a theoretical calculation data line or a data line formed by averaging data items of a calculation parameter of sensed data.
3. The intelligent lighting system as claimed in claim 2, wherein the theoretical calculation data line is measured and corrected periodically to obtain a corrected theoretical calculation data line, and the corrected theoretical calculation data line is close to the actual working condition for improving the environmental applicability and the alarm accuracy of the monitoring and alarm method.
4. The method as claimed in claim 1, wherein the parameter data is one of voltage drop data or impedance data.
5. The method as claimed in claim 1, wherein the fitting is used to eliminate the abnormal factors existing in the existing circuit and form a new balanced data line as a data reference line to establish a reasonable, practical and highly sensitive alarm target.
6. The intelligent lighting system as claimed in claim 1, wherein the upper and lower limit data of the tolerance of the data baseline are obtained from the corrected sensing data obtained in a certain time period by combining a lamp aging curve with a big data analysis algorithm, and the big data analysis algorithm is a RANSAC algorithm.
7. The method as claimed in claim 1, wherein the method for monitoring and alarming location of L-N leakage points in the intelligent lighting system is applied to a data layer of an internet of things platform for data processing.
8. The intelligent lighting system of claim 1 wherein the method for locating, monitoring and alarming a leakage point between L-N electrodes comprises the steps of:
s1, for cables in an intelligent lighting system, obtaining theoretical calculation data lines of parameter items according to ohm' S law and a line resistance formula, wherein the horizontal axis of the theoretical calculation data lines is a cable distance divided according to actual sensing terminal deployment nodes, and the vertical axis of the theoretical calculation data lines is a parameter item data value;
s2, according to the deviation caused by the self material, the temperature and the aging of the intelligent lighting cable system, actually measuring and correcting the theoretical calculation data line to obtain a corrected theoretical calculation data line, so that the corrected theoretical calculation data line is close to the actual working condition;
s3, carrying out normalization correction on the metering modules of the sensing terminal hardware in the intelligent lighting system by using the same equipment, and eliminating equipment metering errors in the sensing data;
s4, periodically correcting the current value of a load lamp in the intelligent lighting system according to a lamp aging curve so as to reduce the influence of the lamp aging on the perception data analysis;
s5, when the intelligent lighting system is put into use for the first time, computing normalized and corrected initial sensing data acquired by the sensing terminal by applying an ohm law to obtain a sensing data line corresponding to parameter item data, wherein the horizontal axis of the sensing data line of the parameter item data is a cable distance divided according to actual sensing terminal deployment nodes, and the vertical axis of the sensing data line of the parameter item data is a parameter item data value;
s6, when the intelligent lighting system is put into use for the first time, the corrected theoretical calculation data line is used as a target, a fitting function f (n) is adopted to fit the perception data line of the parameter item data to obtain an initialization balance data line, the horizontal axis of the initialization balance data line is the cable distance divided according to the actual perception terminal deployment node, the vertical axis of the initialization balance data line is a parameter item data value, the initialization balance data line eliminates the existing electric leakage or other abnormal influences in the existing power supply system and serves as a data reference line of a subsequent analysis sample:
Wherein
Or
Or
In the first formula, Z 0 Calculating a parameter item value according to sensing data, wherein Z is the parameter item value after fitting compensation, f (N) is a fitting compensation function, and N is a sensing node serial number (1, 2,3, \8230;) on the same L-N loop;
in the formula 1 to 3, the ratio of the total weight of the rubber,
for the reference compensation amount, the accumulation term is the fluctuation correction of the reference compensation amount, S is the interval of each segment of nodes, T is the total number of nodes, a n 、b n 、c n 、d n All the fitting coefficients are fitting coefficients, and fitting coefficient data values obtained by initial fitting are obtained;
s7, the fitting coefficient of the fitting compensation function has an allowable variance range with the fitting coefficient data value as a central value, and parameter item data lines obtained by correspondingly using upper and lower limit data of the allowable variance of the fitting coefficient are respectively used as alarm data lines in the intelligent lighting system;
and S8, in subsequent detection application, fitting a data line obtained by calculating and iterating daily perception data by using a fitting coefficient of the fitting compensation function, comparing the data line with the initialized balanced data line, and if a mutation point exceeding the alarm data line exists in the comparison, wherein the mutation point is a leakage point position.
9. The intelligent lighting system according to claim 8, wherein the correction factor of the current value of the load lamp is 0.8-1.2%/ten thousand hours.
10. The method as claimed in claim 8, wherein the correction factor of the correction measured in step S2 is 4% to 5%.
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