Street lamp illumination energy consumption monitoring analysis processing method and system

Abstract

The invention discloses a street lamp illumination energy consumption monitoring analysis processing method and system, and relates to the street lamp illumination energy consumption monitoring field, the system comprises an energy consumption module, a static module, a dynamic module, an adjusting module, an alarm module and a system platform, and the method comprises the following steps: collecting daily average energy consumption of each street lamp, comparing the daily average energy consumption with a set threshold value, and determining the average energy consumption of each street lamp; performing static analysis on the street lamps with abnormal energy consumption and slightly abnormal energy consumption to obtain a static brightness demand value of each street lamp; performing dynamic analysis on the street lamps with abnormal energy consumption and slightly abnormal energy consumption to obtain a dynamic brightness demand value of each street lamp corresponding to each time period; performing comprehensive state analysis on the street lamps; according to the method, the comprehensive lighting demand value of each street lamp corresponding to each time period is obtained, the street lamps are subjected to grade judgment, the street lamp time periods of different grades are subjected to corresponding power adjustment, the comprehensive state of the street lamps is analyzed, and the street lamps in the abnormal comprehensive state are reminded of lamp replacement, so that the energy consumption cost of street lamp lighting can be reduced.

Description

Technical Field

[0001] The present invention relates to the field of street lamp lighting energy consumption monitoring, and in particular to a street lamp lighting energy consumption monitoring, analysis and processing method and system. Background Art

[0002] As energy prices continue to rise, the energy consumption of street lighting accounts for a large proportion of urban operating expenses. Monitoring and analyzing street lighting energy consumption is an important measure to reduce the energy consumption of street lighting. Traditional lighting energy consumption monitoring relies on manual work and cannot accurately and timely identify the energy consumption status of street lighting. Therefore, this street lighting energy consumption monitoring and analysis method came into being.

[0003] In the process of monitoring and analyzing the energy consumption of street lamps, it is impossible to determine whether the energy consumption of street lamps is normal, nor is it possible to make appropriate power adjustments for street lamps with abnormal energy consumption, and it is impossible to identify high-energy consumption and aging street lamps, which greatly increases the energy consumption cost of street lamps and fails to meet the needs of safe and comfortable travel for pedestrians and vehicles on urban municipal roads. Therefore, how to first determine whether the energy consumption of street lamps is normal, then make appropriate power adjustments for street lamps with abnormal energy consumption, and finally replace the high-energy consumption and aging street lamps in time is a technical problem that needs to be solved.

[0004] In order to solve the above defects, a technical solution is now provided. Summary of the invention

[0005] In order to solve the technical problems raised by the above background technology, the present invention is proposed. The embodiment of the present invention provides a method and system for monitoring and analyzing the energy consumption of street lamps.

[0006] A method for monitoring and analyzing street lamp lighting energy consumption includes the following steps:

[0007] Step 1: Determine the energy consumption of street lamps. The energy consumption module collects the average daily energy consumption of each street lamp, compares it with the set threshold, and obtains the corresponding signals of street lamps with different energy consumption;

[0008] Step 2: Static analysis of street lamps. The static module performs static analysis on street lamps with abnormal energy consumption and slightly abnormal energy consumption to obtain the static brightness requirement value of each street lamp.

[0009] Step 3: Dynamic analysis of street lamps. The dynamic module dynamically analyzes street lamps with abnormal energy consumption and slightly abnormal energy consumption to obtain the dynamic brightness demand value of each street lamp corresponding to each time period.

[0010] Step 4: Street light power adjustment: the adjustment module receives the static brightness requirement of each street light and the dynamic brightness requirement of each street light corresponding to each time period, analyzes the comprehensive state of the street light, obtains the comprehensive brightness requirement of each street light corresponding to each time period, and determines the level of the street light, and adjusts the power of street lights of different levels in different time periods accordingly;

[0011] Step 5: Street lamp replacement analysis: the alarm module analyzes the comprehensive status of the street lamps and issues a reminder to replace the lamps for street lamps in abnormal comprehensive status.

[0012] Furthermore, the signal analysis steps corresponding to the street lamps with different energy consumption are as follows:

[0013] The energy consumption module sets up a smart meter to record the displayed electric energy value at the start time and the displayed electric energy value at the end time of each street lamp within a certain period of time, subtracts the electric energy value at the start time from the electric energy value at the end time, and divides the result by the number of days of monitoring time to obtain the average daily energy consumption of each street lamp. When the average daily energy consumption of each street lamp is in the interval PP1, an abnormal street lamp energy consumption signal is issued; when the average daily energy consumption of each street lamp is in the interval PP2, a slightly abnormal street lamp energy consumption signal is issued; when the average daily energy consumption of each street lamp is in the interval PP3, a normal street lamp energy consumption signal is issued. After static and dynamic analysis of street lamps with abnormal energy consumption and slightly abnormal energy consumption, corresponding power adjustments are made according to different levels of street lamp sets.

[0014] Furthermore, the steps for analyzing the static brightness requirement of each street lamp are as follows:

[0015] Step 207: Obtain the number of road intersections where each street light is located, the route curvature value and the slope coefficient, and sum them to obtain the road complexity of each street light; obtain the road grade standard of the area where each street light is located, and mark it as the isoparametric value of each street light;

[0016] Step 208: Obtain the accident rate of the road where each street lamp is located, and calculate the road complexity of each street lamp, the isoparametric value of each street lamp, the accident rate of each street lamp, and the mirror circle value Bjz of the marking line to obtain the road condition brightness requirement value Lkz of each street lamp;

[0017] Step 209: multiply the street lamp structural state value by the correction factor coefficient p1 to obtain a product value of one, multiply the road condition brightness requirement value of each street lamp by the correction factor coefficient p2 to obtain a product value of two, and divide the product value of two by the product value of one to obtain the static brightness requirement value of each street lamp.

[0018] Furthermore, the steps of analyzing the reticle mirror circle value are as follows:

[0019] S1: Using an electron microscope combined with an image acquisition device to obtain an image of the micro-prism structure arrangement of the marking line illuminated by each street lamp, selecting a corresponding magnification, converting it into a grayscale image, and using Gaussian filtering to remove image noise to obtain a processed image;

[0020] S2: extract the contour of each microprism of the marking line through the edge detection algorithm, traverse the boundaries of each contour and establish two-dimensional coordinate points, determine the horizontal coordinate xz of the leftmost coordinate point, the horizontal coordinate xy of the rightmost coordinate point, the vertical coordinate yx of the bottom coordinate point and the vertical coordinate ys of the top coordinate point of each microprism, analyze and obtain the center point of each microprism, obtain the coordinate point of each microprism, calculate the coordinate of each microprism relative to the center point, rotate the coordinate of each microprism relative to the center point by 180°, obtain the new coordinate point, and then convert the rotated relative coordinate into absolute coordinate to obtain the rotated coordinate point of each microprism, analyze and obtain the distance value Ln of each microprism from the original coordinate after rotation, compare the distance value of each microprism from the original coordinate after rotation with the set threshold value, when the distance value of each microprism is less than or equal to the set threshold value, the microprism is classified as an overlapping microprism, count the number of overlapping microprisms and the total number of microprisms, and divide the number of overlapping microprisms by the total number of microprisms to obtain the overlap rate of marking line microprisms;

[0021] S3: The image obtained in step 1 is identified by an automatic algorithm, and the reference pattern unit whose number of microprisms is greater than the set value is marked as pixel matrix B. The reference pattern unit is shifted by a certain distance, and the pixel matrix of the pattern unit after translation is C. The pixel average value of matrix B is calculated. and the pixel average of matrix C Calculate the product value of the difference between the pixels in each row and column corresponding to the matrix B and the matrix C and the respective pixel average values, and sum them to obtain the numerator value, calculate the square sum of the difference between each pixel of the matrix B and the pixel average value to obtain the square sum of one, calculate the square sum of the difference between each pixel of the matrix C and the pixel average value to obtain the square sum of two, multiply the square sum of one by the square sum of two to obtain the denominator value, divide the numerator value by the denominator value, and obtain the similarity value of the microprism;

[0022] S4: multiply the reticle microprism overlap rate and the microprism similarity value by the weight factor coefficients h1 and h2 respectively, and sum them to obtain the reticle mirror inverse value;

[0023] Step 205: Obtain the image of the glass beads illuminated by each street lamp through an optical microscope and an image acquisition device, convert it into a grayscale image, extract the contour of the glass beads through an edge detection algorithm, obtain the area and perimeter of each glass bead contour, divide the area of ​​the contour by the perimeter and multiply it by the correction factor coefficient h3 to obtain the roundness value of each glass bead contour, obtain the absolute value of the difference between the roundness value of each glass bead contour and the value 1, and sum them to obtain the circular deviation value of the marking glass bead, calculate the average value of each glass bead contour, subtract the average value from the roundness of each glass bead contour, square them and sum them, and obtain the circular dispersion value of the marking glass bead contour.

[0024] Step 206: Calculate the marking mirror circular value Bjz by using the marking mirror inverse value, the marking glass bead circular deviation value and the marking glass bead contour circular dispersion value.

[0025] Furthermore, the street lamp structure state value analysis steps are as follows:

[0026] Step 201: With the lamp as the origin, the vertical downward direction of the lamp as the direction of the polar axis 0°, the luminous intensity values ​​measured by the distribution photometer at different angles as the radius scale, and the angle of the measured data as the angle, a polar coordinate light distribution curve diagram of the street lamp is established, the luminous intensity difference between each angle θ1 and the corresponding symmetrical angle θ1+180° is calculated, and the absolute value is taken and divided by each angle θ1 to obtain the symmetrical deflection rate of each angle θ1, and the symmetrical deflection rates of each angle of the street lamp are summed to obtain the lamp deflection value of each street lamp;

[0027] Step 202: Obtain the beam angle and installation height of each street lamp and mark them as gj and ag respectively, calculate the effective coverage width yk of the lamp, and obtain the actual road width of each street lamp position, subtract the effective coverage width of the lamp from the actual road width and take the absolute value to obtain the beam deviation value of each street lamp; scan the glass light-transmitting cover of each street lamp with a profilometer to generate a surface contour curve of the light-transmitting cover, pass the highest point and the lowest point of the contour curve, and take the difference to obtain the maximum frosted depth of the light-transmitting cover, calculate the absolute value of the difference between the height of each point and the average height of each point, and sum them to obtain the frosted roughness of the light-transmitting cover, add the maximum frosted depth of the light-transmitting cover to the frosted roughness of the light-transmitting cover, and multiply by the correction Factor coefficient, obtain the frosted diffuse reflection value of the light cover; obtain the glass component category of the light cover of each street lamp, match it to obtain the light transmittance value of each light cover, and obtain the glass thickness of each light cover, divide the light transmittance value of each light cover by the glass thickness, and obtain the glass transmittance value of each light cover; obtain the heat dissipation mode of the lamp, specifically heat pipe heat dissipation, forced air cooling and natural convection heat dissipation, match it to the heat dissipation value of each lamp, and obtain the heat dissipation area of ​​each lamp and the thermal conductivity of the heat dissipation material, and perform weighted calculation with the heat dissipation value of each lamp, and multiply it by the corresponding correction factor coefficient to obtain the diffuse reflection value of the lamp; obtain the resistivity of the underground cable connected to the street lamp, the cable laying depth and the cable laying spacing, and calculate to obtain the street lamp cable laying transmission value xl;

[0028] Step 203: The street lamp fixture deviation value, the street lamp fixture beam deviation value, the frosted diffuse reflection value of the light-transmitting cover, the glass transparency value of the light-transmitting cover, the fixture scattered value, and the street lamp cable transmission value are processed according to the graphic construction to obtain the street lamp structural state value.

[0029] Furthermore, the steps for analyzing the dynamic brightness demand values ​​of each street lamp corresponding to each time period are as follows:

[0030] The time when street lights are on each day is divided into several time periods. The exhaust gas of each street light in each time period is detected by the exhaust gas detection sensor. When the exhaust gas value at the detection moment next to the street light is greater than the set threshold, the time is determined to be the time when the vehicle passes. The total length of time when vehicles pass by in each time period and the proportion of the total detection time are counted, and marked as the vehicle exhaust rate of each street light corresponding to each time period. The number of vehicles with a body length greater than 6 meters and a height greater than 2.5 meters in each time period of each street light is analyzed and divided by the duration value of each time period to obtain the vehicle size value of each street light corresponding to each time period. By installing infrared thermal imaging sensors on each street light pole, the number of pedestrians corresponding to each street light in each time period is counted. The vehicle exhaust rate, vehicle size value and pedestrian number values ​​corresponding to each street light in each time period are weighted and calculated, and multiplied by the corresponding weight factor coefficient to obtain the dynamic brightness demand value of each street light corresponding to each time period.

[0031] Furthermore, the steps of performing the lamp replacement reminder analysis are as follows:

[0032] The time period brightness requirement level of each street lamp is counted as a first-level brightness requirement set and a second-level brightness requirement set, and the sum is processed with the total time period of each road section for ratio processing, and compared with 90%. When the ratio is greater than or equal to 90%, the street lamp is judged as an abnormal street lamp in the comprehensive status and an alarm is issued, and the label is displayed through the system platform to remind maintenance personnel to replace the lamp.

[0033] Furthermore, the brightness requirement set analysis steps are as follows:

[0034] The static brightness requirement value of each street lamp and the dynamic brightness requirement value of each street lamp corresponding to each time period are analyzed to obtain the comprehensive brightness requirement value of each street lamp corresponding to each time period, and the comprehensive brightness requirement value of each street lamp corresponding to each time period is sorted from small to large, and the comprehensive brightness requirement values ​​sorted in the first N / 4 sequence belong to the fourth-level brightness requirement set, the comprehensive brightness requirement values ​​sorted in the N / 4 to N / 2 sequence belong to the third-level brightness requirement set, the comprehensive brightness requirement values ​​sorted in the N / 4 to N / 2 sequence belong to the third-level brightness requirement set, the comprehensive brightness requirement values ​​sorted in the N / 2 to 3N / 4 sequence belong to the second-level brightness requirement set, and the comprehensive brightness requirement values ​​sorted in the 3N / 4 to N sequence belong to the first-level brightness requirement set.

[0035] Furthermore, the steps of performing corresponding power adjustment analysis for the different levels of street lamp time periods are as follows:

[0036] When each time period of each street lamp is in the first-level brightness demand set, the power of the street lamp is adjusted to w1 of the rated power of the street lamp; when each time period of each street lamp is in the second-level brightness demand set, the power of the street lamp is adjusted to w2 of the rated power of the street lamp; when each time period of each street lamp is in the third-level brightness demand set, the power of the street lamp is adjusted to w3 of the rated power of the street lamp; when each time period of each street lamp is in the fourth-level brightness demand set, the power of the street lamp is adjusted to w4 of the rated power of the street lamp, w1>1>w2>w3>w4.

[0037] Furthermore, a street lighting energy consumption monitoring, analysis and processing system is characterized by comprising:

[0038] The energy consumption module collects the average daily energy consumption of each street lamp, compares it with the set threshold, and obtains the corresponding signals of street lamps with different energy consumption;

[0039] The static module performs static analysis on street lamps with abnormal energy consumption and slightly abnormal energy consumption to obtain the static brightness requirement value of each street lamp;

[0040] The dynamic module dynamically analyzes street lamps with abnormal energy consumption and slightly abnormal energy consumption, and obtains the dynamic brightness demand value of each street lamp corresponding to each time period;

[0041] The adjustment module receives the static brightness requirement value of each street lamp and the dynamic brightness requirement value of each street lamp corresponding to each time period, analyzes the comprehensive state of the street lamp, obtains the comprehensive brightness requirement value of each street lamp corresponding to each time period, and determines the level of the street lamp, and adjusts the power of street lamps of different levels in different time periods accordingly;

[0042] The alarm module analyzes the comprehensive status of street lamps and issues reminders to replace lamps for street lamps in abnormal comprehensive status.

[0043] Compared with the prior art, the present invention has the following beneficial effects:

[0044] 1. The present invention collects the average daily energy consumption of each street lamp, compares it with the set threshold value, obtains the signals corresponding to the street lamps with different energy consumption, performs static analysis on the street lamps with abnormal energy consumption and slightly abnormal energy consumption, obtains the static brightness requirement value of each street lamp, performs dynamic analysis on the street lamps with abnormal energy consumption and slightly abnormal energy consumption, obtains the dynamic brightness requirement value of each street lamp corresponding to each time period, receives the static brightness requirement value of each street lamp and the dynamic brightness requirement value of each street lamp corresponding to each time period, analyzes the comprehensive status of the street lamps, obtains the comprehensive brightness requirement value of each street lamp corresponding to each time period, determines the level of the street lamps, makes corresponding power adjustments for street lamps of different levels in time periods, can determine whether the energy consumption of the street lamps is normal, and makes appropriate power adjustments for street lamps with abnormal energy consumption, which can save the energy consumption cost of street lamp lighting and meet the safety and comfortable travel of pedestrians and vehicles on urban municipal roads.

[0045] 2. The present invention analyzes the comprehensive status of street lamps and issues reminders for replacing lamps for street lamps in abnormal comprehensive status. It can replace lamps for high-energy-consuming and aging street lamps in time, thus reducing the energy consumption cost of street lighting. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for describing the embodiments. The following drawings are not intentionally scaled according to the actual sizes, and the focus is on illustrating the main purpose of the present invention.

[0047] Figure 1 It is a system block diagram of the present invention. DETAILED DESCRIPTION

[0048] The technical solutions in the embodiments of the present invention will be described clearly and completely below in conjunction with the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work also fall within the scope of protection of the present invention.

[0049] Embodiment 1, the present invention provides a method for monitoring and analyzing street lamp lighting energy consumption, the analysis steps are as follows:

[0050] Step 1: Determine the energy consumption of street lamps. The energy consumption module collects the average daily energy consumption of each street lamp, compares it with the set threshold, and obtains the corresponding signals of street lamps with different energy consumption;

[0051] Step 2: Static analysis of street lamps. The static module receives abnormal energy consumption signals of street lamps and slightly abnormal energy consumption signals of street lamps, and performs static analysis on the street lamps with abnormal energy consumption and slightly abnormal energy consumption to obtain the static brightness requirement value of each street lamp.

[0052] Step 3: Dynamic analysis of street lamps. The dynamic module receives abnormal energy consumption signals of street lamps and slightly abnormal energy consumption signals of street lamps, and dynamically analyzes the street lamps with abnormal energy consumption and slightly abnormal energy consumption to obtain the dynamic brightness demand value of each street lamp corresponding to each time period.

[0053] Step 4: Street light power adjustment: the adjustment module receives the static brightness requirement of each street light and the dynamic brightness requirement of each street light corresponding to each time period, analyzes the comprehensive state of the street light, obtains the comprehensive brightness requirement of each street light corresponding to each time period, and determines the level of the street light, and adjusts the power of street lights of different levels in different time periods accordingly;

[0054] Step 5: Street lamp replacement analysis: the alarm module analyzes the comprehensive status of the street lamps and issues a reminder to replace the lamps for the street lamps with abnormal comprehensive status;

[0055] The analysis steps for the signals corresponding to street lamps with different energy consumption are as follows:

[0056] The energy consumption module sets up a smart meter to record the displayed electric energy value at the start time and the displayed electric energy value at the end time of each street lamp within a certain period of time, subtracts the electric energy value at the start time from the electric energy value at the end time, and divides the result by the number of days of the monitoring time to obtain the average daily energy consumption of each street lamp, and compares the average daily energy consumption of each street lamp with the set reference threshold intervals PP1, PP2, and PP3, wherein the intervals PP1, PP2, and PP3 decrease at a certain gradient, and when the average daily energy consumption of each street lamp is in the interval PP1, an abnormal street lamp energy consumption signal is issued, when the average daily energy consumption of each street lamp is in the interval PP2, a slightly abnormal street lamp energy consumption signal is issued, and when the average daily energy consumption of each street lamp is in the interval PP3, a normal street lamp energy consumption signal is issued, and after static and dynamic analysis of street lamps with abnormal energy consumption and slightly abnormal energy consumption, corresponding power adjustments are made according to different levels of street lamp sets, and no corresponding operations are performed on street lamps with normal energy consumption.

[0057] The analysis steps for the static brightness requirement of each street lamp are as follows:

[0058] Step 201: With the lamp as the origin, the vertical downward direction of the lamp as the direction of the polar axis 0°, the luminous intensity values ​​measured by the distribution photometer at different angles as the radius scale, the angle of the measurement data as the angle, and the value range is 0° to 360°, a polar coordinate light distribution curve diagram of the street lamp is established, the luminous intensity difference θ1+180° between each angle θ1 and the corresponding symmetrical angle is calculated, and the absolute value is taken and divided by each angle θ1 to obtain the symmetrical deflection rate of each angle θ1, and the symmetrical deflection rates of each angle of the street lamp are summed to obtain the lamp deflection value of each street lamp;

[0059] Step 202: Obtain the beam angle and installation height of each street lamp and mark them as gj and ag respectively. According to the formula yk=2×ag×tan(gj / 2), calculate the effective coverage width yk of the lamp, and obtain the actual road width of each street lamp position. Subtract the effective coverage width of the lamp from the actual road width and take the absolute value to obtain the beam deviation value of each street lamp; scan the glass light cover of each street lamp with a profilometer to generate a surface contour curve of the light cover, pass the highest point and the lowest point of the contour curve, and take the difference to obtain the maximum frosted depth of the light cover, calculate the absolute value of the difference between the height of each point and the average height of each point, and sum them to obtain the frosted roughness of the light cover, add the maximum frosted depth of the light cover to the frosted roughness of the light cover, and multiply by the correction factor coefficient to obtain the frosted diffuse reflection value of the light cover; obtain the glass component category of the light cover of each street lamp, specifically quartz glass, boron nitride, etc. Silicate glass, aluminosilicate glass, ordinary soda-lime glass and lead glass, and the corresponding transmittance values ​​are b1, b2, b3, b4 and b5, respectively, where b1>b2>b3>b4>b5, match the transmittance value of each light cover, and obtain the glass thickness of each light cover, divide the transmittance value of each light cover by the glass thickness to obtain the glass transmittance value of each light cover; obtain the heat dissipation mode of the lamp, specifically heat pipe heat dissipation, forced air cooling and natural convection heat dissipation, and correspond to the heat dissipation value of each lamp as c1, c2 and c3, where c1>c2>c3, match the heat dissipation value of each lamp, and obtain the heat dissipation area of ​​each lamp and the thermal conductivity of the heat dissipation material, and perform weighted calculation with the heat dissipation value of each lamp, and multiply by the corresponding correction factor coefficient to obtain the scattered value of the lamp; obtain the resistivity of the underground cable connected to the street lamp, the cable laying depth and the cable laying spacing, and mark them as dz, sd and jj respectively, according to the set formula The street light cable transmission value xl is obtained, where te1, te2 and te3 are the set weight factor coefficients of the resistivity of the underground cable, the cable laying depth and the cable laying spacing respectively. The specific values ​​are determined by personnel in this professional field. A1 is the set reference cable laying depth, and e is a natural constant with a value of 2.718. The greater the cable resistivity, the greater the cable transmission loss, the smaller the cable spacing, the greater the electromagnetic interference generated, and the greater the impact on the power transmission efficiency;

[0060] Step 203: normalize the street lamp fixture deviation value, the street lamp fixture beam deviation value, the frosted diffuse reflection value of the light cover, the glass transmittance value of the light cover, the fixture scattered reflection value, and the street lamp cable transmission value, use the sum of the glass transmittance value of the light cover and the fixture scattered reflection value as the radius of the cylinder bottom circle, use the street lamp cable transmission value as the cylinder height to construct a cylinder, construct a hollow cube at the center of the cylinder, use the sum of the street lamp fixture deviation value, the street lamp fixture beam deviation value and the frosted diffuse reflection value of the light cover as the cube side length, construct a cube, identify the solid irregular volume formed by the cylinder and the cube, and mark it as the street lamp structural state value;

[0061] Step 204: The steps for analyzing the reverse value of the reticle mirror are as follows:

[0062] S1: Using an electron microscope combined with an image acquisition device to obtain images of the microprism structure arrangement of the marking lines illuminated by each street lamp, matching the size and density of the microprisms, selecting the corresponding magnification, gray-processing it, converting it into a gray-scale image, and applying Gaussian filtering to the gray-scale image to remove image noise to obtain a processed image;

[0063] S2: Use edge detection algorithm to extract the contours of each microprism of the marking line, traverse the boundaries of each contour and establish two-dimensional coordinate points, determine the horizontal coordinate xz of the leftmost coordinate point, the horizontal coordinate xy of the rightmost coordinate point, the vertical coordinate yx of the bottom coordinate point and the vertical coordinate ys of the top coordinate point of each microprism, according to the formula Get the center point (x0, y0) of each microprism and the coordinate point (x n ,y n ), n is the number of the microprism, calculate the coordinates of each microprism relative to the center point (xc n , yc n ) is specifically xc n =x n -x0,yc n =y n -y0, rotate the coordinates of each microprism 180° relative to the center point to obtain the new coordinate point (Xxc n ,Xyc n ), where Xxc n =x0-xc n ,Xyc n =y0-yc n , and then convert the rotated relative coordinates into absolute coordinates to obtain the coordinate points of each microprism after rotation (Zxc n , Zyc n ), where Zxc n =x0+Xxc n , Zyc n =y0+Xyc n , according to the formula Obtain the distance value Ln of each microprism from the original coordinate after rotation, compare the distance value of each microprism from the original coordinate after rotation with the set threshold, when the distance value of each microprism is less than or equal to the set threshold, classify the microprism as an overlapping microprism, count the number of overlapping microprisms and the total number of microprisms, and divide the number of overlapping microprisms by the total number of microprisms to obtain the overlap rate of the marking line microprisms;

[0064] S3: The image obtained in step 1 is identified by an automatic algorithm, and the reference pattern unit whose number of microprisms is greater than the set value is marked as pixel matrix B. The reference pattern unit is offset by a certain distance, where the certain distance refers to a horizontal translation of d1 and a vertical translation of d1, d1 is an integer multiple of the diameter of the microprism, and the pixel matrix of the pattern unit after translation is C. The pixel average value of matrix B is calculated. and the pixel average of matrix C Calculate the product value of the difference between the pixels in each row and column corresponding to the matrix B and the matrix C and the respective pixel average values, and sum them to obtain the numerator value, calculate the square sum of the difference between each pixel of the matrix B and the pixel average value to obtain the square sum of one, calculate the square sum of the difference between each pixel of the matrix C and the pixel average value to obtain the square sum of two, multiply the square sum of one by the square sum of two to obtain the denominator value, divide the numerator value by the denominator value, and obtain the similarity value of the microprism;

[0065] S4: Multiply the reticle microprism overlap rate and the microprism similarity value by the weight factor coefficients h1 and h2 respectively, and sum them to obtain the reticle mirror inverse value, where the values ​​of h1 and h2 are 0.6 and 0.4 respectively;

[0066] Step 205: Obtain the image of the glass beads for marking illuminated by each street lamp through an optical microscope and an image acquisition device, convert the image into a grayscale image, extract the contour of the glass beads through an edge detection algorithm, obtain the area and perimeter of the contour of each glass bead, divide the area of ​​the contour by the perimeter and multiply by the correction factor coefficient h3 to obtain the roundness value of the contour of each glass bead, where the value of h3 is 4π, obtain the absolute value of the difference between the roundness value of each glass bead contour and the value 1, and sum them to obtain the circular deviation value of the marking glass bead, calculate the average value of each glass bead contour, subtract the average value from the roundness of each glass bead contour, square them and sum them, and obtain the circular dispersion value of the marking glass bead contour.

[0067] Step 206: Mark the reticle anomaly value, the reticle glass bead circular deviation value and the reticle glass bead profile circular dispersion value as bf, yp and lk, respectively, and perform normalization processing. According to the set formula Bjz=tox1×bf / (tox2×yp+tox3×lk), the reticle circular value Bjz is obtained, wherein tox1, tox2 and tox3 are set weight factors for the reticle anomaly value, the reticle glass bead circular deviation value and the reticle glass bead profile circular dispersion value, and the specific values ​​are 1.012, 2.141 and 2.311;

[0068] Step 207: Obtain the number of road intersections where each street light is located, the route curvature value and the slope coefficient, and sum them to obtain the road complexity of each street light; obtain the road grade standard of the area where each street light is located, specifically expressway, urban expressway, urban main road, secondary road, branch road, and the corresponding values ​​according to the grade standard are a1, a2, a3, a4 and a5, where a1>a2>a3>a4>a5, and mark them as the isoparametric values ​​of each street light;

[0069] Step 208: Obtain the accident rate of each street lamp, mark the complexity of each street lamp, the isoparametric value of each street lamp and the accident rate of each street lamp as fz, dc and sg respectively, and normalize them with the mirror circle value Bjz. According to the formula The required road condition brightness value Lkz of each street lamp is calculated, where LP1, LP2, LP3 and LP4 are respectively the preset weight factors of the complexity of the street lamp road, the isoparametric values ​​of each street lamp, the accident rate of each street lamp road and the mirror circle value of the marking line, and ρ is the preset correction factor;

[0070] Step 209: multiply the street lamp structural state value by the correction factor coefficient p1 to obtain a product value of one, multiply the road condition brightness requirement value of each street lamp by the correction factor coefficient p2 to obtain a product value of two, and divide the product value of two by the product value of one to obtain the static brightness requirement value of each street lamp.

[0071] The analysis steps for the dynamic brightness demand value of each street lamp corresponding to each time period are as follows:

[0072] The time when street lights are on each day is divided into several time periods. The exhaust gas of each street light in each time period is detected by the exhaust gas detection sensor. When the exhaust gas value at the detection moment next to the street light is greater than the set threshold, the time is determined to be the time when the vehicle passes. The total length of time when vehicles pass by in each time period and the proportion of the total detection time are counted, and marked as the vehicle exhaust rate of each street light corresponding to each time period. The number of vehicles with a body length greater than 6 meters and a height greater than 2.5 meters in each time period of each street light is analyzed and divided by the duration value of each time period to obtain the vehicle size value of each street light corresponding to each time period. By installing infrared thermal imaging sensors on each street light pole, the number of pedestrians corresponding to each street light in each time period is counted. The vehicle exhaust rate, vehicle size value and pedestrian number values ​​corresponding to each street light in each time period are weighted and calculated, and multiplied by the corresponding weight factor coefficient to obtain the dynamic brightness demand value of each street light corresponding to each time period.

[0073] The analysis steps for adjusting the power of street lights at different levels are as follows:

[0074] The static brightness requirement value of each street lamp and the dynamic brightness requirement value of each street lamp corresponding to each time period are weighted calculated and multiplied by the corresponding correction factor coefficient to obtain the comprehensive brightness requirement value of each street lamp corresponding to each time period. The comprehensive brightness requirement value of each street lamp corresponding to each time period is sorted from small to large, and the comprehensive brightness requirement values ​​sorted in the first N / 4 sequences belong to the fourth-level brightness requirement set, the comprehensive brightness requirement values ​​sorted in the N / 4 to N / 2 sequences belong to the third-level brightness requirement set, the comprehensive brightness requirement values ​​sorted in the N / 4 to N / 2 sequences belong to the third-level brightness requirement set, the comprehensive brightness requirement values ​​sorted in the N / 2 to 3N / 4 sequences belong to the second-level brightness requirement set, and the comprehensive brightness requirement values ​​sorted in the 3N / 4 to N sequences belong to the first-level brightness requirement set.

[0075] When each time period of each street lamp is in the first-level brightness demand set, the power of the street lamp is adjusted to w1 of the rated power of the street lamp; when each time period of each street lamp is in the second-level brightness demand set, the power of the street lamp is adjusted to w2 of the rated power of the street lamp; when each time period of each street lamp is in the third-level brightness demand set, the power of the street lamp is adjusted to w3 of the rated power of the street lamp; when each time period of each street lamp is in the fourth-level brightness demand set, the power of the street lamp is adjusted to w4 of the rated power of the street lamp, wherein w1>1>w2>w3>w4.

[0076] The analysis steps to determine the replacement of street lamps are as follows:

[0077] The time period brightness requirement level of each street lamp is counted as a first-level brightness requirement set and a second-level brightness requirement set, and the sum is processed with the total time period of each road section for ratio processing, and compared with 90%. When the ratio is greater than or equal to 90%, the street lamp is judged as a street lamp with an abnormal comprehensive status and an alarm is issued. The system platform displays "The street lamp status is abnormal, please replace the lamp" to remind maintenance personnel to replace the lamp.

[0078] Embodiment 2, as Figure 1 As shown, the present invention provides a street lamp lighting energy consumption monitoring, analysis and processing system, including an energy consumption module, a static module, a dynamic module, an adjustment module, an alarm module and a system platform.

[0079] The energy consumption module collects the average daily energy consumption of each street lamp, compares it with the set threshold, and obtains the corresponding signals of street lamps with different energy consumption;

[0080] The static module receives the abnormal energy consumption signal of the street lamp and the slightly abnormal energy consumption signal of the street lamp, and performs static analysis on the street lamps with abnormal energy consumption and slightly abnormal energy consumption to obtain the static brightness requirement value of each street lamp;

[0081] The dynamic module receives the abnormal energy consumption signal of the street lamp and the slightly abnormal energy consumption signal of the street lamp, and dynamically analyzes the street lamps with abnormal energy consumption and slightly abnormal energy consumption to obtain the dynamic brightness demand value of each street lamp corresponding to each time period;

[0082] The adjustment module receives the static brightness requirement value of each street lamp and the dynamic brightness requirement value of each street lamp corresponding to each time period, analyzes the comprehensive state of the street lamp, obtains the comprehensive brightness requirement value of each street lamp corresponding to each time period, and determines the level of the street lamp, and adjusts the power of street lamps of different levels in different time periods accordingly;

[0083] The alarm module analyzes the comprehensive status of street lamps and issues reminders to replace lamps for street lamps in abnormal comprehensive status.

[0084] The above is an explanation of the present invention and should not be considered as a limitation thereof. Although several exemplary embodiments of the present invention have been described, it will be readily appreciated by those skilled in the art that many modifications may be made to the exemplary embodiments without departing from the novel teachings and advantages of the present invention. Therefore, all such modifications are intended to be included within the scope of the present invention as defined in the claims. It should be understood that the above is an explanation of the present invention and should not be considered as being limited to the specific embodiments disclosed, and modifications to the disclosed embodiments and other embodiments are intended to be included within the scope of the appended claims. The present invention is defined by the claims and their equivalents.

Claims

1. A method for monitoring and analyzing street lighting energy consumption, characterized in that: The following steps are involved: Step 1: Determine the energy consumption of street lamps. The energy consumption module collects the average daily energy consumption of each street lamp, compares it with the set threshold, and obtains the corresponding signals of street lamps with different energy consumption; Step 2: Static analysis of street lamps. The static module performs static analysis on street lamps with abnormal energy consumption and slightly abnormal energy consumption to obtain the static brightness requirement value of each street lamp. Step 3: Dynamic analysis of street lamps. The dynamic module dynamically analyzes street lamps with abnormal energy consumption and slightly abnormal energy consumption to obtain the dynamic brightness demand value of each street lamp corresponding to each time period. Step 4: Street light power adjustment: the adjustment module receives the static brightness requirement of each street light and the dynamic brightness requirement of each street light corresponding to each time period, analyzes the comprehensive state of the street light, obtains the comprehensive brightness requirement of each street light corresponding to each time period, and determines the level of the street light, and adjusts the power of street lights of different levels in different time periods accordingly; Step 5: Street lamp replacement analysis: the alarm module analyzes the comprehensive status of the street lamps and issues a reminder to replace the lamps for street lamps in abnormal comprehensive status.

2. A method for monitoring, analyzing and processing street lamp lighting energy consumption according to claim 1, characterized in that: The signal analysis steps corresponding to the street lamps with different energy consumption are as follows: The energy consumption module sets up a smart meter to record the displayed electric energy value at the start time and the displayed electric energy value at the end time of each street lamp within a certain period of time, subtracts the electric energy value at the start time from the electric energy value at the end time, and divides the result by the number of days of the monitoring time to obtain the average daily energy consumption of each street lamp. When the average daily energy consumption of each street lamp is in the interval PP1, an abnormal street lamp energy consumption signal is issued; when the average daily energy consumption of each street lamp is in the interval PP2, a slightly abnormal street lamp energy consumption signal is issued; when the average daily energy consumption of each street lamp is in the interval PP3, a normal street lamp energy consumption signal is issued. After static and dynamic analysis of street lamps with abnormal energy consumption and slightly abnormal energy consumption, corresponding power adjustments are made according to different levels of street lamp sets.

3. A method for monitoring, analyzing and processing street lighting energy consumption according to claim 1, characterized in that: The steps for analyzing the static brightness requirement of each street lamp are as follows: Step 207: Obtain the number of road intersections where each street light is located, the route curvature value and the slope coefficient, and sum them to obtain the road complexity of each street light; obtain the road grade standard of the area where each street light is located, and mark it as the isoparametric value of each street light; Step 208: Obtain the accident rate of the road where each street lamp is located, and calculate the road complexity of each street lamp, the isoparametric value of each street lamp, the accident rate of each street lamp, and the mirror circle value Bjz of the marking line to obtain the road condition brightness requirement value Lkz of each street lamp; Step 209: multiply the street lamp structural state value by the correction factor coefficient p1 to obtain a product value of one, multiply the road condition brightness requirement value of each street lamp by the correction factor coefficient p2 to obtain a product value of two, and divide the product value of two by the product value of one to obtain the static brightness requirement value of each street lamp.

4. A method for monitoring, analyzing and processing street lamp lighting energy consumption according to claim 3, characterized in that: The steps of analyzing the reticle mirror circle value are as follows: S1: Using an electron microscope combined with an image acquisition device to obtain an image of the micro-prism structure arrangement of the marking line illuminated by each street lamp, selecting a corresponding magnification, converting it into a grayscale image, and using Gaussian filtering to remove image noise to obtain a processed image; S2: extract the contour of each microprism of the marking line through the edge detection algorithm, traverse the boundaries of each contour and establish two-dimensional coordinate points, determine the horizontal coordinate xz of the leftmost coordinate point, the horizontal coordinate xy of the rightmost coordinate point, the vertical coordinate yx of the bottom coordinate point and the vertical coordinate ys of the top coordinate point of each microprism, analyze and obtain the center point of each microprism, obtain the coordinate point of each microprism, calculate the coordinate of each microprism relative to the center point, rotate the coordinate of each microprism relative to the center point by 180°, obtain the new coordinate point, and then convert the rotated relative coordinate into absolute coordinate to obtain the rotated coordinate point of each microprism, analyze and obtain the distance value Ln of each microprism from the original coordinate after rotation, compare the distance value of each microprism from the original coordinate after rotation with the set threshold value, when the distance value of each microprism is less than or equal to the set threshold value, the microprism is classified as an overlapping microprism, count the number of overlapping microprisms and the total number of microprisms, and divide the number of overlapping microprisms by the total number of microprisms to obtain the overlap rate of marking line microprisms; S3: The image obtained in step 1 is identified by an automatic algorithm, and the reference pattern unit whose number of microprisms is greater than the set value is marked as pixel matrix B. The reference pattern unit is shifted by a certain distance, and the pixel matrix of the pattern unit after translation is C. The pixel average value of matrix B is calculated. and the pixel average of matrix C Calculate the product value of the difference between the pixels in each row and column corresponding to the matrix B and the matrix C and the respective pixel average values, and sum them to obtain the numerator value, calculate the square sum of the difference between each pixel of the matrix B and the pixel average value to obtain the square sum of one, calculate the square sum of the difference between each pixel of the matrix C and the pixel average value to obtain the square sum of two, multiply the square sum of one by the square sum of two to obtain the denominator value, divide the numerator value by the denominator value, and obtain the similarity value of the microprism; S4: multiply the reticle microprism overlap rate and the microprism similarity value by the weight factor coefficients h1 and h2 respectively, and sum them to obtain the reticle mirror inverse value; Step 205: Obtain the image of the glass beads illuminated by each street lamp through an optical microscope and an image acquisition device, convert it into a grayscale image, extract the contour of the glass beads through an edge detection algorithm, obtain the area and perimeter of each glass bead contour, divide the area of ​​the contour by the perimeter and multiply it by the correction factor coefficient h3 to obtain the roundness value of each glass bead contour, obtain the absolute value of the difference between the roundness value of each glass bead contour and the value 1, and sum them to obtain the circular deviation value of the marking glass bead, calculate the average value of each glass bead contour, subtract the average value from the roundness of each glass bead contour, square them and sum them, and obtain the circular dispersion value of the marking glass bead contour. Step 206: Calculate the marking mirror circular value Bjz by using the marking mirror inverse value, the marking glass bead circular deviation value and the marking glass bead contour circular dispersion value.

5. A method for monitoring, analyzing and processing street lamp lighting energy consumption according to claim 3, characterized in that: The steps of analyzing the street lamp structure state value are as follows: Step 201: With the lamp as the origin, the vertical downward direction of the lamp as the direction of the polar axis 0°, the luminous intensity values ​​measured by the distribution photometer at different angles as the radius scale, and the angle of the measured data as the angle, a polar coordinate light distribution curve diagram of the street lamp is established, the luminous intensity difference between each angle θ1 and the corresponding symmetrical angle θ1+180° is calculated, and the absolute value is taken and divided by each angle θ1 to obtain the symmetrical deflection rate of each angle θ1, and the symmetrical deflection rates of each angle of the street lamp are summed to obtain the lamp deflection value of each street lamp; Step 202: Obtain the beam angle and installation height of each street lamp and mark them as gj and ag respectively, calculate the effective coverage width yk of the lamp, and obtain the actual road width at each street lamp position, subtract the effective coverage width of the lamp from the actual road width and take the absolute value to obtain the beam deviation value of each street lamp; scan the glass light shield of each street lamp with a profilometer to generate a surface contour curve of the light shield, pass the highest point and the lowest point of the contour curve, and take the difference to obtain the wear of the light shield. The maximum depth of the frosted glass is obtained by summing up the absolute values ​​of the differences between the height of each point and the average height of each point to obtain the frosted roughness of the light-transmitting cover. The maximum frosted depth of the light-transmitting cover is added to the frosted roughness of the light-transmitting cover, and multiplied by the correction factor coefficient to obtain the frosted diffuse reflection value of the light-transmitting cover. The glass component category of the light-transmitting cover of each street lamp is obtained, and the light transmittance value of each light-transmitting cover is obtained by matching. The glass thickness of each light-transmitting cover is obtained, and the light transmittance value of each light-transmitting cover is divided by the glass thickness to obtain the glass transmittance value of each light-transmitting cover. Obtain the heat dissipation mode of the lamp, specifically heat pipe heat dissipation, forced air cooling and natural convection heat dissipation, match it to the heat dissipation value of each lamp, and obtain the heat dissipation area of ​​each lamp and the thermal conductivity of the heat dissipation material, and perform weighted calculation with the heat dissipation value of each lamp, and multiply it by the corresponding correction factor coefficient to obtain the scattered value of the lamp; Obtain the resistivity of the underground cable connecting the street lamp, the cable laying depth and the cable laying spacing, and calculate to obtain the street lamp cable laying value xl; Step 203: The street lamp fixture deviation value, the street lamp fixture beam deviation value, the frosted diffuse reflection value of the light-transmitting cover, the glass transparency value of the light-transmitting cover, the fixture scattered value, and the street lamp cable transmission value are processed according to the graphic construction to obtain the street lamp structural state value.

6. A method for monitoring, analyzing and processing street lighting energy consumption according to claim 1, characterized in that: The steps for analyzing the dynamic brightness demand values ​​of each street lamp corresponding to each time period are as follows: The time when street lights are on each day is divided into several time periods. The exhaust gas of each street light in each time period is detected by the exhaust gas detection sensor. When the exhaust gas value at the detection moment next to the street light is greater than the set threshold, the time is determined to be the time when the vehicle passes. The total length of time when vehicles pass by in each time period and the proportion of the total detection time are counted, and marked as the vehicle exhaust rate of each street light corresponding to each time period. The number of vehicles with a body length greater than 6 meters and a height greater than 2.5 meters in each time period of each street light is analyzed and divided by the duration value of each time period to obtain the vehicle size value of each street light corresponding to each time period. By installing infrared thermal imaging sensors on each street light pole, the number of pedestrians corresponding to each street light in each time period is counted. The vehicle exhaust rate, vehicle size value and pedestrian number values ​​corresponding to each street light in each time period are weighted and calculated, and multiplied by the corresponding weight factor coefficient to obtain the dynamic brightness demand value of each street light corresponding to each time period.

7. A method for monitoring, analyzing and processing street lighting energy consumption according to claim 1, characterized in that: The steps for performing the lamp replacement reminder analysis are as follows: The time period brightness requirement level of each street lamp is counted as a first-level brightness requirement set and a second-level brightness requirement set, and the sum is processed with the total time period of each road section for ratio processing, and compared with 90%. When the ratio is greater than or equal to 90%, the street lamp is judged as an abnormal street lamp in the comprehensive status and an alarm is issued, and the label is displayed through the system platform to remind maintenance personnel to replace the lamp.

8. A method for monitoring, analyzing and processing street lighting energy consumption according to claim 7, characterized in that: The steps of analyzing the brightness requirement set are as follows: The static brightness requirement value of each street lamp and the dynamic brightness requirement value of each street lamp corresponding to each time period are analyzed to obtain the comprehensive brightness requirement value of each street lamp corresponding to each time period, and the comprehensive brightness requirement value of each street lamp corresponding to each time period is sorted from small to large, and the comprehensive brightness requirement values ​​sorted in the first N / 4 sequence belong to the fourth-level brightness requirement set, the comprehensive brightness requirement values ​​sorted in the N / 4 to N / 2 sequence belong to the third-level brightness requirement set, the comprehensive brightness requirement values ​​sorted in the N / 4 to N / 2 sequence belong to the third-level brightness requirement set, the comprehensive brightness requirement values ​​sorted in the N / 2 to 3N / 4 sequence belong to the second-level brightness requirement set, and the comprehensive brightness requirement values ​​sorted in the 3N / 4 to N sequence belong to the first-level brightness requirement set.

9. A method for monitoring, analyzing and processing street lighting energy consumption according to claim 1, characterized in that: The steps for performing corresponding power adjustment analysis for different levels of street lamp time periods are as follows: When each time period of each street lamp is in the first-level brightness demand set, the power of the street lamp is adjusted to w1 of the rated power of the street lamp; when each time period of each street lamp is in the second-level brightness demand set, the power of the street lamp is adjusted to w2 of the rated power of the street lamp; when each time period of each street lamp is in the third-level brightness demand set, the power of the street lamp is adjusted to w3 of the rated power of the street lamp; when each time period of each street lamp is in the fourth-level brightness demand set, the power of the street lamp is adjusted to w4 of the rated power of the street lamp, w1>1>w2>w3>w4.

10. A street lighting energy consumption monitoring, analysis and processing system, characterized in that A street lamp lighting energy consumption monitoring, analysis and processing method applied to any one of claims 1 to 9, comprising: The energy consumption module collects the average daily energy consumption of each street lamp, compares it with the set threshold, and obtains the corresponding signals of street lamps with different energy consumption; The static module performs static analysis on street lamps with abnormal energy consumption and slightly abnormal energy consumption to obtain the static brightness requirement value of each street lamp; The dynamic module dynamically analyzes street lamps with abnormal energy consumption and slightly abnormal energy consumption, and obtains the dynamic brightness demand value of each street lamp corresponding to each time period; The adjustment module receives the static brightness requirement value of each street lamp and the dynamic brightness requirement value of each street lamp corresponding to each time period, analyzes the comprehensive state of the street lamp, obtains the comprehensive brightness requirement value of each street lamp corresponding to each time period, and determines the level of the street lamp, and adjusts the power of street lamps of different levels in different time periods accordingly; The alarm module analyzes the comprehensive status of street lamps and issues reminders to replace lamps for street lamps in abnormal comprehensive status.

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