CN115877268B - Positioning monitoring and alarming method for L-N leakage points in intelligent lighting system - Google Patents
Positioning monitoring and alarming method for L-N leakage points in intelligent lighting system Download PDFInfo
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Abstract
The invention discloses a positioning monitoring and alarming method for L-N leakage points in an intelligent lighting system, which comprises the steps of carrying out normalization correction on perception data in the intelligent lighting system, obtaining corrected perception data, calculating to obtain parameter item data, fitting the parameter item data by using a fitting compensation function to fit a target line to obtain an initialization balance data line, and taking the initialization balance data line as a compared data reference line; applying a RANSAC algorithm to the corrected sensing data to analyze and combine a lamp aging curve to obtain tolerance upper and lower limit data lines of the data reference line, wherein the tolerance upper and lower limit data lines are used as compared alarm data lines; and fitting the daily acquired sensing data at a data processing layer of the intelligent lighting system regularly, and comparing the data reference line with the alarm data line to realize the positioning monitoring and alarm of the leakage point between L and 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 L-N leakage points in an intelligent lighting system.
Background
The power management of the old urban areas in the existing urban illumination operation and maintenance market is always a big and difficult problem. The old urban street lamp illumination power supply line is complicated to route, the service life is long, and the conditions of overhead lines and flying lines are frequent. In this case, the line inspection is time-consuming and labor-consuming, and the operation and maintenance investment costs are increased year by year with the increase of time. Meanwhile, the judging method for the leakage point of the municipal lighting line in the market is also based on the traditional operation and maintenance thought, dispatching experience is rich, on-site pavement investigation or 1/2 method disconnection investigation is carried out, timeliness is poor, and a large amount of manpower, energy and material resources are consumed; the method for positioning the leakage point of the high-voltage transmission line (usually adopting a sensor and the like) is not suitable for being used in urban illumination lines due to the fact that the cost is too high.
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 great consumption of manpower and material resources for traditional detection of the leakage point.
In order to solve the technical problems, the invention is realized by the following technical scheme: the utility model provides a leakage point location monitoring and warning method between L-N in wisdom lighting system, carries out the correction of normalizing to perception data in the wisdom lighting system, obtains the perception data after the correction and calculates and obtain parameter item data, and the application fits compensation function to the parameter item data is fitted with the line of fitting, obtains the initialization balanced data line, regard as the data datum line of comparison to the initialization balanced data line; applying a RANSAC algorithm to the corrected sensing data to analyze and combine a lamp aging curve to obtain tolerance upper and lower limit data lines of the data reference line, wherein the tolerance upper and lower limit data lines are used as compared alarm data lines; and fitting the daily acquired sensing data at a data processing layer of the intelligent lighting system regularly, and comparing the data reference line with the alarm data line to realize the positioning monitoring and alarm of the leakage point between L and N.
Preferably, the fitting target line is a theoretical calculation data line or a data line formed by calculating an average value of parameter item data by perception data.
Preferably, the theoretical calculation data line is subjected to actual measurement correction at regular intervals to obtain a corrected theoretical calculation data line, and the corrected theoretical calculation data line is close to an 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 voltage drop data or impedance data.
Preferably, the fitting is used for forming a new balance data line as a data reference line after eliminating the existing abnormal factors in the existing line, and establishing a reasonable, practical and high-sensitivity alarm standard.
Preferably, the upper and lower limit data of the tolerance of the data reference 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 L-N leakage point positioning monitoring and alarming method 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 leakage point between L and N in the intelligent lighting system specifically comprises the following steps:
s1, obtaining theoretical calculation data lines of parameter item data of cables in an intelligent lighting system according to ohm' S law and a line resistance formula, wherein the theoretical calculation data lines specifically comprise:
In the formula II, U Principal i For the voltage of lamp pole wiring of certain lamp main cable switching, U i perception In order to sense the value of the data voltage,
the pressure difference generated by the line resistance between the sensing and main cables is related to the installation position of the sensing terminal in value;
In the formula III, ρ is the resistivity of the wire material, s is the nominal section of the wire, l i For the length of the wire, k t Is the temperature coefficient of the resistance of the related material, t is the actual working temperature, t 0 20 degrees, k Wire (C) For the actual measurement correction coefficient cited in theoretical calculation, f is the geometric mean distance (mm) between three-phase wires, d is the outer diameter (mm) of the wires, μ is the relative permeability of the wire material, and μ=1 for nonferrous metals;
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 is the parameter item data value;
s2, carrying out actual measurement correction on the theoretical calculation data line according to deviation caused by self materials, temperature and aging of the intelligent illumination cable system to obtain a corrected theoretical calculation data line, and enabling the corrected theoretical calculation data line to be close to an actual working condition;
s3, normalization correction is carried out on a metering module of the perception terminal hardware in the intelligent lighting system by using the same equipment, and equipment metering errors in perception data are eliminated;
s4, the current value of the load lamp in the intelligent lighting system is corrected regularly according to the lamp aging curve, so that the influence of the aging of the lamp in the sensing data analysis is reduced;
s5, when the intelligent lighting system is initially put into use, calculating normalized and corrected initial sensing data acquired by the sensing terminal by applying ohm' S law to obtain sensing data lines corresponding to parameter item data, wherein the horizontal axis of the sensing data lines of the parameter item data is the cable distance divided by the deployment node of the actual sensing terminal, and the vertical axis is the parameter item data value;
s6, when the intelligent lighting system is initially put into use, the corrected theoretical calculation data line is taken as a standard, 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 is a parameter item data value, and the initialization balance data line eliminates the existing electric leakage or other abnormal influence in the existing power supply system and is used as a data reference line of a subsequent analysis sample:
Wherein the method comprises the steps of
Or (b)
Or (b)
In formula one, Z 0 For calculating the parameter item value according to the sensing data, Z is the parameter item value after fitting compensation, f (N) is the fitting compensation function, and N is the sensing node serial number (1, 2,3, … …) on the same L-N loop;
in the fitting steps 1 to 3,
the sum term is the fluctuation correction of the reference compensation quantity, S is the interval of each section of node, T is the total node number, a n 、b n 、c n 、d n All are fitting coefficients, and initializing fitting to obtain fitting coefficient data values;
s7, fitting coefficients of the fitting compensation function have an allowable variance range taking the data value of the fitting coefficients as a central value, and parameter item data lines which are obtained by corresponding upper and lower limit data of the allowable variance of the fitting coefficients are used as alarm data lines in an intelligent lighting system respectively;
and S8, in the subsequent detection application, fitting the data line obtained by calculation iteration of the daily perception data by using the fitting coefficient of the fitting compensation function, comparing the data line with the initialized balance data line, and if a mutation point exceeding the alarm data line exists in the comparison, wherein the mutation point is a leakage point.
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 beneficial effects that:
the big data core of the internet of things is sensing data, the urban lighting terminals are power distribution cabinets and lighting lamps, the adopted sensing hardware centralized controller is used for collecting and controlling parameters and states of the power distribution cabinets, and the single-lamp controller is used for collecting and controlling parameters and states of the lighting lamps. The method comprises the steps of utilizing relevant perception data of an urban illumination terminal acquired by an intelligent illumination system, adopting a normalization correction and lamp aging correction method to correct the relevant perception data in an initial system operation stage, determining the corrected perception data by using an iteration method, and calculating to obtain parameter item data; 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 as close to the actual working condition as possible; fitting the parameter item data by using the corrected theoretical calculation data line as a fitting target line by using a fitting compensation function to obtain an initialization balance data line, and taking the initialization balance data line as a data reference line for comparison; applying a RANSAC algorithm to the corrected sensing data to analyze and combine a lamp aging curve to obtain tolerance upper and lower limit data lines of the data reference line, wherein the tolerance upper and lower limit data lines are used as compared alarm data lines; the detection method of the leakage point greatly shortens the determination time of the leakage point, fully utilizes the perception data of the urban intelligent lighting system, utilizes a big data algorithm to determine the warning data line, saves manpower and material resources in the process of checking the leakage point in actual application, and has the advantages of low cost and high timeliness.
Drawings
FIG. 1 is a functional package diagram of the detection method of the present invention.
Fig. 2 is a schematic diagram of the circuit principle.
Fig. 3 is a theoretical calculation data line of impedance.
Fig. 4 is a theoretical calculation data line after correction of the impedance of the embodiment.
FIG. 5 is a schematic diagram of an abnormal impedance data line according to an embodiment.
FIG. 6 is a diagram showing the comparison between the impedance data line and the data reference line and the alarm data line according to the embodiment.
Fig. 7 is a lamp profile verified by the method of the example.
FIG. 8 is a table of perceptual data of an embodiment method verification process.
FIG. 9 is a comparison of parameter values of the verification process of the embodiment method.
Detailed Description
The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the present embodiment, and it is apparent that the described embodiments are only some embodiments of the present invention, 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.
Referring to fig. 1 to 6, in an urban illumination power supply system, without considering other external electrical equipment, a schematic diagram of circuit principle is shown in fig. 2, the invention discloses a positioning monitoring and alarming method for an L-N leakage point in an intelligent illumination system, a schematic diagram of a function program package of the method is shown in fig. 1, specifically comprising the following steps,
s1, obtaining theoretical calculation data lines of parameter item data of cables in an intelligent lighting system according to ohm' S law and a line resistance formula, wherein the theoretical calculation data lines specifically comprise:
In the formula II, U Principal i For the voltage of lamp pole wiring of certain lamp main cable switching, U i perception In order to sense the value of the data voltage,
the pressure difference generated by the line resistance between the sensing and main cables is related to the installation position of the sensing terminal in value;
formula III
In the formula III, ρ is the wire materialResistivity, s is the nominal cross section of the wire, l i For the length of the wire, k t Is the temperature coefficient of the resistance of the related material, t is the actual working temperature, t 0 20 degrees, k Wire (C) For the actual measurement correction coefficient cited in theoretical calculation, f is the geometric mean distance (mm) between three-phase wires, d is the outer diameter (mm) of the wires, μ is the relative permeability of the wire material, and μ=1 for nonferrous metals;
and 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 is the parameter item data value. The theoretical calculation data line of the impedance is shown in fig. 3, the abscissa in fig. 3 represents the lamp pole node in the intelligent lighting system, and the ordinate represents the theoretical impedance value;
s2, carrying out actual measurement correction on the theoretical calculation data line according to deviation caused by self materials, temperature and aging of the intelligent illumination cable system to obtain a corrected theoretical calculation data line, enabling the corrected theoretical calculation data line to be close to an actual working condition, wherein the corrected theoretical calculation data line is shown in a figure 4, an abscissa in the figure 4 represents a lamp post node in the intelligent illumination system, and an ordinate represents a corrected theoretical calculation impedance value;
s3, normalization correction is carried out on a metering module of the perception terminal hardware in the intelligent lighting system by using the same equipment, and equipment metering errors in perception data are eliminated;
s4, the current value of a load lamp in the intelligent lighting system is corrected regularly according to a lamp aging curve so as to reduce the influence of the aging of the lamp in sensing data analysis, and when the corrected value of the current value of a power supply loop of the lamp is 1%/Mo Xiao;
s5, when the intelligent lighting system is initially put into use, calculating initial sensing data after normalization correction acquired by the sensing terminal by applying ohm' S law to obtain sensing data lines corresponding to impedance values;
s6, when the intelligent lighting system is initially put into use, the corrected theoretical calculation data line is used as a standard, a fitting function 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 is the parameter item data value, and the initialization balance data line eliminates the existing electric leakage or other abnormal influence in the existing power supply system and is used as a data datum line of a subsequent analysis sample:
Wherein the method comprises the steps of
Or (b)
Or (b)
In formula one, Z 0 For calculating the parameter item value according to the sensing data, Z is the parameter item value after fitting compensation, f (N) is the fitting compensation function, and N is the sensing node serial number (1, 2,3, … …) on the same L-N loop;
in the fitting steps 1 to 3,
the sum term is the fluctuation correction of the reference compensation quantity, S is the interval of each section of node, T is the total node number, a n 、b n 、c n 、d n All are fitting coefficients, and initializing fitting to obtain fitting coefficient data values;
s7, fitting coefficients of the fitting compensation function have an allowable variance range taking the data value of the fitting coefficients as a central value, and parameter item data lines which are obtained by corresponding upper and lower limit data of the allowable variance of the fitting coefficients are used as alarm data lines in an intelligent lighting system respectively;
and S8, in the subsequent detection application, fitting the data line obtained by calculation iteration of daily perception data by using the fitting coefficient of the fitting compensation function, comparing the fitting coefficient with the data reference line, and if a mutation point exceeding the alarm data line exists in the comparison, determining the mutation point as a leakage point.
The abnormal impedance data line schematic diagram is shown in fig. 5, the horizontal axis represents the lamp pole node in the intelligent lighting system, the vertical axis represents the modified impedance value, and the abrupt change occurs between the lamp pole nodes 3-4, so that the electric leakage point can be defined.
The comparison between the parameter item data line (impedance data line) obtained by daily sensing data and the data reference line and the alarm data line is shown in fig. 6, the horizontal axis in fig. 6 represents a lamp pole node in the intelligent lighting system, and the data line obtained by daily sensing 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 fig. 9, a verification test is performed on the detection method, specifically, verification test data is as follows, a corrected regular road section of the lamp is selected, and the lamp belongs to a phase change 1 loop, and phase a is marked as K1A. The lamp numbers are respectively as follows: chenlu 083, 085, 089, 091; 084. 086, 088, 092; the 87 and 90 belonged to the 1 loop C phase, marked as K1C, and particularly shown in the figure 7, the collected data of the test object and the calculated impedance value are shown in the figure 8 and the figure 9 respectively, and as can be seen from the data in the figures, the difference distribution of the actual perceived data and the theoretical calculated value does not form normal distribution, the logic trend line is approximately the same, and the leakage current data of the 1 loop and the road condition (newly built road section) are simply tested by using the universal meter on site, so that the condition that the main cable insulation leakage does not exist in the test object is consistent with the conclusion obtained by the data line.
The foregoing list is only illustrative of specific embodiments of the invention. It is obvious that the invention is not limited to the above embodiments, but that many similar modifications are possible, all modifications which can be directly derived or suggested to a person skilled in the art from the disclosure of the invention are to be considered as the scope of the invention as claimed.
Claims (3)
1. The method for monitoring and alarming the L-N leakage point positioning in the intelligent lighting system is characterized by comprising the following steps:
s1, obtaining theoretical calculation data lines of parameter items of cables in an intelligent lighting system according to ohm' S law and a line resistance formula, wherein the horizontal axis of the theoretical calculation data lines is the cable distance divided according to the actual sensing terminal deployment node, and the vertical axis is the parameter item data value;
s2, carrying out actual measurement correction on the theoretical calculation data line according to deviation caused by self materials, temperature and aging of the intelligent illumination cable system to obtain a corrected theoretical calculation data line, and enabling the corrected theoretical calculation data line to be close to an actual working condition;
s3, normalization correction is carried out on a metering module of the perception terminal hardware in the intelligent lighting system by using the same equipment, and equipment metering errors in perception data are eliminated;
s4, the current value of the load lamp in the intelligent lighting system is corrected regularly according to the lamp aging curve, so that the influence of the aging of the lamp in the sensing data analysis is reduced;
s5, when the intelligent lighting system is initially put into use, calculating normalized and corrected initial sensing data acquired by the sensing terminal by applying ohm' S law to obtain sensing data lines corresponding to parameter item data, wherein the horizontal axis of the sensing data lines of the parameter item data is the cable distance divided by the deployment node of the actual sensing terminal, and the vertical axis is the parameter item data value;
s6, when the intelligent lighting system is initially put into use, the corrected theoretical calculation data line is taken as a standard, 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 is a parameter item data value, and the initialization balance data line eliminates the existing electric leakage or other abnormal influence in the existing power supply system and is used as a data reference line of a subsequent analysis sample:
Wherein the method comprises the steps of
Or (b)
Or (b)
In formula one, Z 0 For calculating the parameter item value according to the sensing data, Z is the parameter item value after fitting compensation, f (N) is the fitting compensation function, and N is the sensing node serial number (1, 2,3, … …) on the same L-N loop;
in the fitting steps 1 to 3,
the sum term is the fluctuation correction of the reference compensation quantity, S is the interval of each section of node, T is the total node number, a n 、b n 、c n 、d n All are fitting coefficients, and initializing fitting to obtain fitting coefficient data values;
s7, fitting coefficients of the fitting compensation function have an allowable variance range taking the data value of the fitting coefficients as a central value, and parameter item data lines which are obtained by corresponding upper and lower limit data of the allowable variance of the fitting coefficients are used as alarm data lines in an intelligent lighting system respectively;
and S8, in the subsequent detection application, fitting the data line obtained by calculation iteration of the daily perception data by using the fitting coefficient of the fitting compensation function, comparing the data line with the initialized balance data line, and if a mutation point exceeding the alarm data line exists in the comparison, wherein the mutation point is a leakage point.
2. The method for monitoring and alarming the positioning of the leakage point between L and N in the intelligent lighting system according to claim 1, wherein the parameter item data is one of voltage drop data and impedance data.
3. The method for monitoring and alarming the positioning of the L-N leakage points in the intelligent lighting system according to claim 1, wherein the method for monitoring and alarming the positioning of the L-N leakage points in the intelligent lighting system is applied to data processing of a data layer of an internet of things platform.
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