An intelligent control system and method based on smart street lamps
By establishing a light intensity adjustment model in smart street lights, and analyzing and adjusting the illumination angle and light intensity of adjacent street lights in real time, the problem of insufficient lighting when street lights are abnormal is solved, ensuring traffic safety.
Patent Information
- Application Number
- CN202410832793.7
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2024-06-26
- Publication Date
- 2024-12-24
- Estimated Expiration
- 2044-06-26
AI Technical Summary
Smart street lights cannot be automatically adjusted when abnormalities occur, resulting in lighting problems that affect traffic safety and need to wait for staff to repair.
By monitoring the lighting intensity and environmental data of street lights, a light intensity adjustment model is established, and the illumination angle and lighting intensity of adjacent street lights are analyzed and adjusted in real time to make up for the lighting area of abnormal street lights.
Automatic compensation for lighting when street lights are abnormal, improving traffic safety and reducing safety risks caused by maintenance delays.
Smart Images
Figure CN118591057B_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of smart street lamps, and specifically to an intelligent control system and method based on smart street lamps. Background Art
[0002] Smart street lights are an intelligent lighting system based on advanced technology. By integrating sensors, communication equipment, controllers and other components, they can achieve remote monitoring, automatic adjustment and intelligent management of street lights. Smart street lights can intelligently adjust lighting brightness and time based on real-time data such as ambient light and traffic flow, improve energy efficiency, energy saving and safety, and bring many conveniences and advantages to urban lighting management.
[0003] Although smart street lamps are more intelligent, when street lamps are abnormal, they will still cause lighting problems on some sections of the road, affecting the safety of people or vehicles passing through the section. They can only be restored to normal after maintenance by staff. Summary of the invention
[0004] The purpose of the present invention is to provide an intelligent control system and method based on smart street lamps to solve the problems raised in the above background technology.
[0005] In order to solve the above technical problems, the present invention provides the following technical solutions: an intelligent control method based on smart street lamps, the control method comprising the following steps:
[0006] Step S100: monitor the illumination intensity of historical street light sources and the illumination conditions of street lights, and obtain the light intensity error rate of street light illumination; analyze the relationship between the illumination intensity of any illumination point on the ground illuminated by the street light and the linear distance of the street light source, and obtain a number of target illumination points; and determine the farthest horizontal distance and maximum illumination angle of the street light illumination;
[0007] Step S200: monitor the ambient light intensity of the environment where the street lamp is located, the traffic flow within the illumination range of the street lamp, and the light intensity of the street lamp light source at each historical time, and obtain a data set of the street lamp; establish a street lamp light intensity adjustment model, simulate the change of the light intensity of the street lamp light source, and train the street lamp light intensity adjustment model through the street lamp data set;
[0008] Step S300: monitor the ambient light intensity of the street lamp, traffic flow and light intensity of the street lamp light source in real time, and output the theoretical light intensity of the street lamp light source through the street lamp light intensity adjustment model; obtain the actual light intensity of the street lamp light source, determine whether to send an abnormal reminder to the street lamp, and obtain the light intensity requirement of any light point on the ground irradiated by the street lamp;
[0009] Step S400: When a street lamp is abnormal, the positional relationship with adjacent street lamps is analyzed and the illumination angle of the adjacent street lamps is adjusted; the illumination intensity of the adjacent street lamps is adjusted according to the light intensity requirement of the abnormal street lamp at any illumination point on the ground.
[0010] Furthermore, step S100 includes the following steps:
[0011] Step S101: Set the position where the street light source is vertically mapped onto the ground as the light source projection point, and set the horizontal distance between any illumination point on the ground irradiated by the street light and the light source projection point as d; obtain the height of the street light source from the ground as H, and obtain the straight-line distance between the illumination point and the street light source as L;
[0012] Step S102: Obtain the light intensity of the street light source as Q, according to the formula:
[0013]
[0014] It is calculated that among all the light points on the ground illuminated by the street lamp, the light intensity at the horizontal distance d from the projection point of the light source is Q d ; When d = 0, L = H, and the light intensity at the projection point of the light source is Q0; the actual light intensity at the projection point of the light source is monitored by the light sensor as Q'0, and the light intensity error rate of the street lamp is η = (Q0-Q'0) / Q'0; due to the influence of environmental factors, the sensor may be disturbed, resulting in measurement errors; by calculating the light intensity error rate, the measurement error can be avoided to a certain extent, which facilitates the subsequent analysis of the light intensity to be more accurate;
[0015] Step S103: Obtain the horizontal distance d' from any illumination point on the ground irradiated by the street lamp to the projection point of the light source, and obtain the straight-line distance L' from any illumination point to the street lamp light source, according to the formula:
[0016]
[0017] The theoretical illumination intensity of any illumination point is calculated as Q d' ; Get the actual illumination intensity of any illumination point as Q' d' , set an error threshold σ, if (Q d' -Q' d' ) / Q' d' <σ, then any one of the illumination points is set as the target illumination point; when they are both within the illumination range of the street lamp, the error of the illumination intensity caused by the environmental factors should be the same. Therefore, by judging the error of the two values, it can be determined whether the illumination point belongs to the illumination range of the street lamp, and thus the boundary of the illumination range can be determined;
[0018] Step S104: Obtain all target illumination points, select a target illumination point with the largest horizontal distance from the light source projection point, and set the maximum horizontal distance to d max , and the maximum horizontal distance d max As the farthest horizontal distance illuminated by the street lamp; according to the formula:
[0019]
[0020] The maximum illumination angle of the street lamp is calculated to be θ max The maximum illumination angle of the street lamp is unchanged, so when the illumination angle is adjusted later, the adjusted illumination range can be determined by the maximum illumination angle.
[0021] Further, step S200 includes the following steps:
[0022] Step S201: Obtain the ambient light intensity E when the street lamp is turned on each time in history, and extract the minimum ambient light intensity E when the street lamp is turned on min and the maximum ambient light intensity E max ; Minimum ambient light intensity E min It means that when the ambient light intensity is less than E min When the maximum ambient light intensity is E max It means that when the ambient light intensity is greater than E max When the traffic volume is high, the street lights do not need to be turned on; min and E max In between, the street lights do not have to be turned on, but whether to turn on the street lights is determined by the size of the traffic flow;
[0023] Construct a street light intensity adjustment model:
[0024]
[0025] Among them, α, β are constant coefficients, E is the ambient light intensity of the street lamp, T is the traffic flow within the illumination range of the street lamp, and Q is the light intensity of the street lamp light source; the ambient light intensity of the street lamp and the traffic flow within the illumination range of the street lamp are used as the input data of the model, and the output data is the light intensity of the street lamp light source; taking the current ambient light intensity as the base, the reason for turning on the street lamp is that the current ambient light intensity is low; according to the proportional relationship between the current ambient light intensity and the maximum ambient light intensity and the minimum ambient light intensity, the current ambient light intensity must be less than E max , and with E maxThe larger the difference is, the more enhanced the current ambient light intensity is; the change in light intensity due to traffic flow has the same trend, and the larger the traffic flow is, the smaller the impact on light intensity is. Therefore, the logarithmic function can reflect this impact trend, making the final light intensity of the street light source more accurate.
[0026] Step S202: Obtain the ambient light intensity of the street lamp monitored for the i-th time in history as E i , the traffic flow within the illumination range of the street lamp when the street lamp is monitored for the i-th time is obtained as T i The light intensity of the street light source is Q i , generate the i-th set of data sets Data obtained from the i-th monitoring i ={E i ,T i ,Q i}; Put each set of historical data sets into the street light intensity adjustment model, select several sets of data sets as training sets of the street light intensity adjustment model, and determine the constant coefficients α, β;
[0027] Step S203: Use the remaining data sets as the test sets for the street light intensity adjustment model. Randomly select a set of test sets and put them into the street light intensity adjustment model to obtain the output data Q' test , get the light intensity of the street light source in the test set as Q test , the test error of the test set is ε=|Q' test -Q test | / Q test , set an error threshold τ, if ε>τ, set the test set as an abnormal test set; count the number of abnormal test sets in all test sets as n, set the number of test sets as n', get the number of abnormal test sets as δ, set the number of percentage threshold δ', if δ>δ', select several abnormal test sets from all test sets as training sets to retrain the model until δ≤δ';
[0028] For the trained street light illumination intensity adjustment model, the ambient light intensity of the street light and the traffic flow within the illumination range of the street light are used as input data, which are processed through the street light illumination intensity adjustment model to obtain the illumination intensity of the street light source as the output model.
[0029] Further, step S300 includes the following steps:
[0030] Step S301: Obtain the traffic flow within the illumination range of the current j-th street lamp as T j and the ambient light intensity is E j , the traffic flow T j and ambient light intensity E jInput the street light intensity adjustment model to obtain the theoretical light intensity Q of the street light source of the jth street light. j ';
[0031] Step S302: Get the actual illumination intensity of the street light source of the jth street lamp as Q j , set the error threshold to τ, if (Q j '-Q j ) / Q j '≥τ, the jth street lamp is marked as abnormal and an abnormal reminder is sent; according to the formula:
[0032]
[0033] Among them, d j H is the horizontal distance from the projection point of the light source of the jth street lamp, j is the height of the street light source of the jth street lamp from the ground, η is the light intensity error rate of the street lamp; the horizontal distance d is calculated j The light intensity requirement of the illumination point When a street lamp is abnormal, it can provide a certain light intensity, but it cannot meet the demand. Therefore, it only needs to be supplemented by the adjacent street lamps with the corresponding light intensity.
[0034] Furthermore, step S400 includes the following steps:
[0035] Step S401: Set the jth street lamp to have an abnormal flag, and obtain the farthest horizontal distance illuminated by the jth street lamp. The expected adjustment angle of the j-1th streetlight adjacent to the jth streetlight is set to Get the maximum illumination angle of the j-1th street lamp The maximum horizontal distance of irradiation The height H of the street light source from the ground j-1 , according to the formula:
[0036]
[0037] Calculate the expected adjustment angle of the j-1th street lamp
[0038] Step S402: Set the horizontal distance from the jth street lamp to d j The light intensity requirement of the illumination point is Get the straight-line distance between the j-1th street light and the jth street light as D j-1,j ; According to the formula:
[0039]
[0040] The calculated horizontal distance from the jth street lamp is dj The straight-line distance between the illumination point and the street light source of the j-1 street lamp is According to the formula:
[0041]
[0042] Where η is the light intensity error rate of the street lamp; the horizontal distance of the jth street lamp is calculated to be d j The expected illumination intensity for the j-1th street lamp is Select the maximum expected light intensity from the expected light intensity corresponding to each light point as the light intensity of the street light source after the j-1th street light is adjusted;
[0043] In order to better implement the above method, an intelligent control system based on smart street lamps is also proposed. The control system includes an irradiation range analysis module, a relationship construction module, an abnormality analysis module and an adjustment module;
[0044] The illumination range analysis module is used to monitor the illumination intensity of historical street light sources and the illumination conditions of street lights, and obtain the light intensity error rate of street light illumination; analyze the relationship between the illumination intensity of any illumination point on the ground illuminated by street lights and the linear distance from the street light source, and obtain several target illumination points; and determine the farthest horizontal distance and maximum illumination angle of street light illumination;
[0045] The relationship building module is used to monitor the ambient light intensity of the environment where the street lamp is located, the traffic flow within the illumination range of the street lamp, and the light intensity of the street lamp light source at each historical time, and obtain a street lamp data set; establish a street lamp light intensity adjustment model, simulate the change of the light intensity of the street lamp light source, and train the street lamp light intensity adjustment model through the street lamp data set;
[0046] The abnormal analysis module is used to monitor the ambient light intensity of street lamps, traffic flow and the light intensity of street lamp sources in real time. Through the street lamp light intensity adjustment model, the theoretical light intensity of the street lamp light source is output; the actual light intensity of the street lamp light source is obtained, and it is determined whether to send an abnormal reminder to the street lamp, and the light intensity requirement of any light point on the ground irradiated by the street lamp is obtained;
[0047] The adjustment module is used to analyze the positional relationship between the abnormal street lamp and the adjacent street lamp and adjust the illumination angle of the adjacent street lamp when the abnormal street lamp occurs; the illumination intensity of the adjacent street lamp is adjusted according to the light intensity requirement of any illumination point on the ground of the abnormal street lamp.
[0048] Further, the irradiation range analysis module includes an error rate calculation unit and an irradiation range determination unit;
[0049] The error rate calculation unit is used to monitor the illumination intensity of the historical street light source and the illumination conditions of the street light to obtain the light intensity error rate of the street light illumination; the illumination range determination unit is used to analyze the illumination intensity of any illumination point on the ground illuminated by the street light and the changing relationship between the straight-line distance from the street light source to obtain a number of target illumination points; and determine the farthest horizontal distance and maximum illumination angle of the street light illumination.
[0050] Further, the relationship building module includes a data set building unit and a model building unit;
[0051] The data set establishment unit is used to monitor the ambient light intensity of the environment where the street lamp is located, the traffic flow within the illumination range of the street lamp, and the light intensity of the street lamp light source at each historical time, and obtain the data set of the street lamp; the model construction unit is used to establish a street lamp light intensity adjustment model, simulate the change of the light intensity of the street lamp light source, and train the street lamp light intensity adjustment model through the street lamp data set.
[0052] Further, the abnormality analysis module includes an abnormality determination unit and a demand quantity calculation unit;
[0053] The abnormality judgment unit is used to monitor the ambient light intensity, traffic flow and light intensity of the street lamp in real time, and output the theoretical light intensity of the street lamp light source through the street lamp light intensity adjustment model; obtain the actual light intensity of the street lamp light source and judge whether to send an abnormal reminder to the street lamp; the demand calculation unit is used to obtain the light intensity demand of any light point on the ground illuminated by the street lamp.
[0054] Further, the adjustment module includes an angle adjustment unit and a light intensity adjustment unit;
[0055] The angle adjustment unit is used to analyze the positional relationship between the street lamp and the adjacent street lamp and adjust the illumination angle of the adjacent street lamp when an abnormality occurs in the street lamp; the light intensity adjustment unit is used to adjust the light intensity of the adjacent street lamp according to the light intensity requirement of any lighting point on the ground of the abnormal street lamp.
[0056] Compared with the prior art, the present invention has the following beneficial effects: (1) The present invention compensates for the lighting within the corresponding illumination range of the abnormal street lamp by adjusting the illumination angle and illumination intensity of adjacent street lamps, thereby avoiding the impact of street lamp abnormality on safety; (2) The present invention establishes a model to automatically analyze and adjust the lighting conditions of street lamps based on the historical illumination intensity adjustment of street lamps, thereby improving efficiency; (3) When a street lamp abnormality occurs, the present invention can automatically compensate for the lighting of the corresponding road section, so that even if the staff cannot perform maintenance in the first time, traffic safety can be guaranteed to the greatest extent. BRIEF DESCRIPTION OF THE DRAWINGS
[0057] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:
[0058] Figure 1 It is a schematic diagram of the steps of an intelligent control method based on smart street lamps;
[0059] Figure 2 It is a structural diagram of an intelligent control system based on smart street lamps. DETAILED DESCRIPTION
[0060] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.
[0061] See also Figure 1 to Figure 2 The present invention provides a technical solution: an intelligent control method based on smart street lamps, the control method comprising the following steps:
[0062] Step S100: monitor the illumination intensity of historical street light sources and the illumination conditions of street lights, and obtain the light intensity error rate of street light illumination; analyze the relationship between the illumination intensity of any illumination point on the ground illuminated by the street light and the linear distance of the street light source, and obtain a number of target illumination points; and determine the farthest horizontal distance and maximum illumination angle of the street light illumination;
[0063] Wherein, step S100 includes the following steps:
[0064] Step S101: Set the position where the street light source is vertically mapped onto the ground as the light source projection point, and set the horizontal distance between any illumination point on the ground irradiated by the street light and the light source projection point as d; obtain the height of the street light source from the ground as H, and obtain the straight-line distance between the illumination point and the street light source as L;
[0065] Step S102: Obtain the light intensity of the street light source as Q, according to the formula:
[0066]
[0067] It is calculated that among all the light points on the ground illuminated by the street lamp, the light intensity at the horizontal distance d from the projection point of the light source is Q d; When d = 0, L = H, the light intensity at the projection point of the light source is Q0; the actual light intensity at the projection point of the light source is monitored by the light sensor as Q'0, and the light intensity error rate of the street lamp is η = (Q0-Q'0) / Q'0;
[0068] Step S103: Obtain the horizontal distance d' from any illumination point on the ground irradiated by the street lamp to the projection point of the light source, and obtain the straight-line distance L' from any illumination point to the street lamp light source. According to the formula:
[0069]
[0070] The theoretical illumination intensity of any illumination point is calculated as Q d' ; Get the actual light intensity of any light point as Q' d' , set an error threshold σ, if (Q d' -Q' d' ) / Q' d' <σ, then any illumination point is set as the target illumination point;
[0071] Step S104: Obtain all target illumination points, select a target illumination point with the largest horizontal distance from the light source projection point, and set the maximum horizontal distance to d max , and the maximum horizontal distance d max As the farthest horizontal distance illuminated by the street lamp; according to the formula:
[0072]
[0073] The maximum illumination angle of the street lamp is calculated to be θ max .
[0074] Step S200: monitor the ambient light intensity of the environment where the street lamp is located, the traffic flow within the illumination range of the street lamp, and the light intensity of the street lamp light source at each historical time, and obtain a data set of the street lamp; establish a street lamp light intensity adjustment model, simulate the change of the light intensity of the street lamp light source, and train the street lamp light intensity adjustment model through the street lamp data set;
[0075] Wherein, step S200 includes the following steps:
[0076] Step S201: Obtain the ambient light intensity E when the street lamp is turned on each time in history, and extract the minimum ambient light intensity E when the street lamp is turned on min and the maximum ambient light intensity E max ; Build a street light intensity adjustment model:
[0077]
[0078] Among them, α, β are constant coefficients, E is the ambient light intensity of the street lamp, T is the traffic flow within the illumination range of the street lamp, and Q is the light intensity of the street lamp light source;
[0079] Step S202: Obtain the ambient light intensity of the street lamp monitored for the i-th time in history as E i , the traffic flow within the illumination range of the street lamp when the street lamp is monitored for the i-th time is obtained as T i The light intensity of the street light source is Q i , generate the i-th set of data sets Data obtained from the i-th monitoring i ={E i ,T i ,Q i}; Put each set of historical data sets into the street light intensity adjustment model, select several sets of data sets as training sets of the street light intensity adjustment model, and determine the constant coefficients α, β;
[0080] Step S203: Use the remaining data sets as the test sets for the street light intensity adjustment model. Randomly select a set of test sets and put them into the street light intensity adjustment model to obtain the output data Q' test , get the light intensity of the street light source in the test set as Q test , the test error of the test set is ε=|Q' test -Q test | / Q test , set an error threshold τ, if ε>τ, set the test set as the abnormal test set; count the number of abnormal test sets in all test sets as n, set the number of test sets as n', get the number of abnormal test sets as δ, set the number of percentage threshold δ', if δ>δ', select several abnormal test sets from all test sets as training sets to retrain the model until δ≤δ'.
[0081] Step S300: monitor the ambient light intensity of the street lamp, traffic flow and light intensity of the street lamp light source in real time, and output the theoretical light intensity of the street lamp light source through the street lamp light intensity adjustment model; obtain the actual light intensity of the street lamp light source, determine whether to send an abnormal reminder to the street lamp, and obtain the light intensity requirement of any light point on the ground irradiated by the street lamp;
[0082] Wherein, step S300 includes the following steps:
[0083] Step S301: Obtain the traffic flow within the illumination range of the current j-th street lamp as T j and the ambient light intensity is E j , the traffic flow T j and ambient light intensity E j Input the street light intensity adjustment model to obtain the theoretical light intensity Q of the street light source of the jth street light.j ';
[0084] Step S302: Get the actual illumination intensity of the street light source of the jth street lamp as Q j , set the error threshold to τ, if (Q j '-Q j ) / Q j '≥τ, the jth street lamp is marked as abnormal and an abnormal reminder is sent; according to the formula:
[0085]
[0086] Among them, d j H is the horizontal distance from the projection point of the light source of the jth street lamp, j is the height of the street light source of the jth street lamp from the ground, η is the light intensity error rate of the street lamp; the horizontal distance d is calculated j The light intensity requirement of the illumination point
[0087] Step S400: When a street lamp is abnormal, the positional relationship between the street lamp and the adjacent street lamp is analyzed, and the illumination angle of the adjacent street lamp is adjusted; the illumination intensity of the adjacent street lamp is adjusted according to the light intensity requirement of any illumination point on the ground of the abnormal street lamp;
[0088] Wherein, step S400 includes the following steps:
[0089] Step S401: Set the jth street lamp to have an abnormal flag, and obtain the farthest horizontal distance illuminated by the jth street lamp. The expected adjustment angle of the j-1th streetlight adjacent to the jth streetlight is set to Get the maximum illumination angle of the j-1th street lamp The maximum horizontal distance of irradiation The height H of the street light source from the ground j-1 , according to the formula:
[0090]
[0091] Calculate the expected adjustment angle of the j-1th street lamp
[0092] Step S402: Set the horizontal distance from the jth street lamp to d j The light intensity requirement of the illumination point is Get the straight-line distance between the j-1th street light and the jth street light as D j-1,j ; According to the formula:
[0093]
[0094] The calculated horizontal distance from the jth street lamp is d j The straight-line distance between the illumination point and the street light source of the j-1 street lamp is According to the formula:
[0095]
[0096] Where η is the light intensity error rate of the street lamp; the horizontal distance of the jth street lamp is calculated to be d j The expected illumination intensity for the j-1th street lamp is The maximum expected light intensity is selected from the expected light intensities corresponding to each light point as the light intensity of the street light source after the j-1th street lamp is adjusted.
[0097] An intelligent control system based on smart street lamps, the control system includes an irradiation range analysis module, a relationship construction module, an abnormality analysis module and an adjustment module;
[0098] The illumination range analysis module is used to monitor the illumination intensity of historical street light sources and the illumination conditions of street lights, and obtain the light intensity error rate of street light illumination; analyze the relationship between the illumination intensity of any illumination point on the ground illuminated by street lights and the linear distance from the street light source, and obtain several target illumination points; and determine the farthest horizontal distance and maximum illumination angle of street light illumination;
[0099] The relationship building module is used to monitor the ambient light intensity of the environment where the street lamp is located, the traffic flow within the illumination range of the street lamp, and the light intensity of the street lamp light source at each historical time, and obtain a street lamp data set; establish a street lamp light intensity adjustment model, simulate the change of the light intensity of the street lamp light source, and train the street lamp light intensity adjustment model through the street lamp data set;
[0100] The abnormal analysis module is used to monitor the ambient light intensity of street lamps, traffic flow and the light intensity of street lamp sources in real time. Through the street lamp light intensity adjustment model, the theoretical light intensity of the street lamp light source is output; the actual light intensity of the street lamp light source is obtained, and it is determined whether to send an abnormal reminder to the street lamp, and the light intensity requirement of any light point on the ground irradiated by the street lamp is obtained;
[0101] The adjustment module is used to analyze the positional relationship between the abnormal street lamp and the adjacent street lamp and adjust the illumination angle of the adjacent street lamp when the abnormal street lamp occurs; the illumination intensity of the adjacent street lamp is adjusted according to the light intensity requirement of any illumination point on the ground of the abnormal street lamp.
[0102] Wherein, the irradiation range analysis module includes an error rate calculation unit and an irradiation range determination unit;
[0103] The error rate calculation unit is used to monitor the illumination intensity of the historical street light source and the illumination conditions of the street light to obtain the light intensity error rate of the street light illumination; the illumination range determination unit is used to analyze the illumination intensity of any illumination point on the ground illuminated by the street light and the changing relationship between the straight-line distance from the street light source to obtain a number of target illumination points; and determine the farthest horizontal distance and maximum illumination angle of the street light illumination.
[0104] Among them, the relationship building module includes a data set building unit and a model building unit;
[0105] The data set establishment unit is used to monitor the ambient light intensity of the environment where the street lamp is located, the traffic flow within the illumination range of the street lamp, and the light intensity of the street lamp light source at each historical time, and obtain the data set of the street lamp; the model construction unit is used to establish a street lamp light intensity adjustment model, simulate the change of the light intensity of the street lamp light source, and train the street lamp light intensity adjustment model through the street lamp data set.
[0106] Among them, the abnormal analysis module includes an abnormal judgment unit and a demand calculation unit;
[0107] The abnormality judgment unit is used to monitor the ambient light intensity, traffic flow and light intensity of the street lamp in real time, and output the theoretical light intensity of the street lamp light source through the street lamp light intensity adjustment model; obtain the actual light intensity of the street lamp light source and judge whether to send an abnormal reminder to the street lamp; the demand calculation unit is used to obtain the light intensity demand of any light point on the ground illuminated by the street lamp.
[0108] Wherein, the adjustment module includes an angle adjustment unit and a light intensity adjustment unit;
[0109] The angle adjustment unit is used to analyze the positional relationship between the street lamp and the adjacent street lamp and adjust the illumination angle of the adjacent street lamp when an abnormality occurs in the street lamp; the light intensity adjustment unit is used to adjust the light intensity of the adjacent street lamp according to the light intensity requirement of any lighting point on the ground of the abnormal street lamp.
[0110] Set the intensity of the street light source to 2000Lux and the height of the street light to 10m, and obtain the light point where the street light vertically shines on the ground, that is, when the horizontal distance from the projection point of the light source is 0, the light intensity of the light point is 20Lux; monitor the actual light intensity of the light point to be 18Lux, and obtain the light error rate of the street light illumination to be 2 / 18=11.11%; obtain the actual light intensity and theoretical light intensity of any light point on the ground, determine several target light points, select the target light point with the largest horizontal distance, set the farthest horizontal distance of the street light illumination to 20m, and the maximum illumination angle to 60 degrees.
[0111] When street lamp A is abnormal, the farthest horizontal distance illuminated by street lamp A is 20m, the maximum illumination angle of adjacent street lamp B is 60 degrees, the farthest horizontal distance illuminated is 20m, and the height of street lamp A is 10m. Then adjust the illumination angle of street lamp B so that it can illuminate the light source projection point of street lamp A, so we get Spend, H j-1 =10m, According to the formula: get get degrees, then adjust the illumination angle of street lamp B 16 degrees toward street lamp A;
[0112] The straight-line distance between street lamp A and street lamp B is 30m, that is, D j-1,j =30m, set d j =10m,H j-1 =10m, the straight-line distance between the illumination point of street lamp A and the light source of street lamp B is calculated to be 22.36m. According to the formula:
[0113]
[0114] in, η = 11.11%, we get The light source intensity of street lamp B is set to 2000 Lux, so the light source intensity value that needs to be enhanced is 574 Lux; therefore, the illumination angle of street lamp B needs to be adjusted by 16 degrees, and the light intensity is increased by 574 Lux to meet the light intensity within the corresponding illumination range of street lamp A.
[0115] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.
[0116] Finally, it should be noted that the above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art can still modify the technical solutions described in the aforementioned embodiments or replace some of the technical features therein by equivalents. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.
Claims
1. An intelligent control method based on smart street lamps, characterized in that: The control method comprises the following steps: Step S100: monitor the illumination intensity of historical street light sources and the illumination conditions of street lights, and obtain the light intensity error rate of street light illumination; analyze the relationship between the illumination intensity of any illumination point on the ground illuminated by the street light and the linear distance of the street light source, and obtain a number of target illumination points; and determine the farthest horizontal distance and maximum illumination angle of the street light illumination; Step S200: monitor the ambient light intensity of the environment where the street lamp is located, the traffic flow within the illumination range of the street lamp, and the light intensity of the street lamp light source at each historical time, and obtain a data set of the street lamp; establish a street lamp light intensity adjustment model, simulate the change of the light intensity of the street lamp light source, and train the street lamp light intensity adjustment model through the street lamp data set; Step S300: monitor the ambient light intensity of the street lamp, traffic flow and light intensity of the street lamp light source in real time, and output the theoretical light intensity of the street lamp light source through the street lamp light intensity adjustment model; obtain the actual light intensity of the street lamp light source, determine whether to send an abnormal reminder to the street lamp, and obtain the light intensity requirement of any light point on the ground irradiated by the street lamp; Step S400: When a street lamp is abnormal, the positional relationship between the street lamp and the adjacent street lamp is analyzed, and the illumination angle of the adjacent street lamp is adjusted; the illumination intensity of the adjacent street lamp is adjusted according to the light intensity requirement of any illumination point on the ground of the abnormal street lamp; The step S400 includes the following steps: Step S401: Set the jth street lamp to have an abnormal flag, and obtain the farthest horizontal distance illuminated by the jth street lamp. The expected adjustment angle of the j-1th streetlight adjacent to the jth streetlight is set to Get the maximum illumination angle of the j-1th street lamp The maximum horizontal distance of irradiation The height H of the street light source from the ground j-1 , according to the formula: Calculate the expected adjustment angle of the j-1th street lamp Step S402: Set the horizontal distance from the jth street lamp to d j The light intensity requirement of the illumination point is Get the straight-line distance between the j-1th street light and the jth street light as D j-1,j ; According to the formula: The calculated horizontal distance from the jth street lamp is d j The straight-line distance between the illumination point and the street light source of the j-1 street lamp is According to the formula: Where η is the light intensity error rate of the street lamp; the horizontal distance of the jth street lamp is calculated to be d j The expected illumination intensity for the j-1th street lamp is The maximum expected light intensity is selected from the expected light intensities corresponding to each light point as the light intensity of the street light source after the j-1th street lamp is adjusted.
2. According to claim 1, the intelligent control method based on smart street lamps is characterized in that: The step S100 includes the following steps: Step S101: Set the position where the street light source is vertically mapped onto the ground as the light source projection point, and set the horizontal distance between any illumination point on the ground irradiated by the street light and the light source projection point as d; obtain the height of the street light source from the ground as H, and obtain the straight-line distance between the illumination point and the street light source as L; Step S102: Obtain the light intensity of the street light source as Q, according to the formula: It is calculated that among all the light points on the ground illuminated by the street lamp, the light intensity at the horizontal distance d from the projection point of the light source is Q d ; When d = 0, L = H, the light intensity at the projection point of the light source is Q0; the actual light intensity at the projection point of the light source is monitored by the light sensor as Q'0, and the light intensity error rate of the street lamp is η = (Q0-Q'0) / Q'0; Step S103: Obtain the horizontal distance d' from any illumination point on the ground irradiated by the street lamp to the projection point of the light source, and obtain the straight-line distance L' from any illumination point to the street lamp light source, according to the formula: The theoretical illumination intensity of any illumination point is calculated as Q d' ; Get the actual illumination intensity of any illumination point as Q' d' , set an error threshold σ, if)Q d' -Q' d' ) / Q' d' <σ, then any one of the illumination points is set as the target illumination point; Step S104: Obtain all target illumination points, select a target illumination point with the largest horizontal distance from the light source projection point, and set the maximum horizontal distance to d max , and the maximum horizontal distance d max As the farthest horizontal distance illuminated by the street lamp; according to the formula: The maximum illumination angle of the street lamp is calculated to be θ max .
3. According to claim 2, the intelligent control method based on smart street lamps is characterized in that: The step S200 includes the following steps: Step S201: Obtain the ambient light intensity E when the street lamp is turned on each time in history, and extract the minimum ambient light intensity E when the street lamp is turned on min and the maximum ambient light intensity E max ; Build a street light intensity adjustment model: Among them, α, β are constant coefficients, E is the ambient light intensity of the street lamp, T is the traffic flow within the illumination range of the street lamp, and Q is the light intensity of the street lamp light source; Step S202: Obtain the ambient light intensity of the street lamp monitored for the i-th time in history as E i , the traffic flow within the illumination range of the street lamp when the street lamp is monitored for the i-th time is obtained as T i And the light intensity of the street light source is Q i , generate the i-th set of data sets Data obtained from the i-th monitoring i ={E i ,T i ,Q i }; Put each set of historical data sets into the street light intensity adjustment model, select several sets of data sets as training sets of the street light intensity adjustment model, and determine the constant coefficients α, β; Step S203: Use the remaining data sets as the test sets of the street light intensity adjustment model. Randomly select a set of test sets and put them into the street light intensity adjustment model to obtain the output data Q' test , get the light intensity of the street light source in the test set as Q test , the test error of the test set is ε=|Q' test -Q test | / Q test , set an error threshold τ, if ε>τ, set the test set as the abnormal test set; count the number of abnormal test sets in all test sets as n, set the number of test sets as n', get the number of abnormal test sets as δ, set the number of percentage threshold δ', if δ>δ', select several abnormal test sets from all test sets as training sets to retrain the model until δ≤δ'.
4. The intelligent control method based on smart street lamps according to claim 3 is characterized in that: The step S300 includes the following steps: Step S301: Obtain the traffic flow within the illumination range of the current jth street lamp as T j and the ambient light intensity is E j , the traffic flow T j and ambient light intensity E j Input the street light intensity adjustment model to obtain the theoretical light intensity Q' of the street light source of the jth street light. j ; Step S302: Get the actual illumination intensity of the street light source of the jth street lamp as Q j , set the error threshold to τ, if (Q' j -Q j ) / Q' j ≥τ, the jth street lamp is marked as abnormal and an abnormal reminder is sent; according to the formula: Among them, d j H is the horizontal distance from the projection point of the light source of the jth street lamp, j is the height of the street light source of the jth street lamp from the ground, η is the light intensity error rate of the street lamp; the horizontal distance d is calculated j The light intensity requirement of the illumination point 5. An intelligent control system based on an intelligent control method for a smart street lamp according to any one of claims 1 to 4, characterized in that: The control system includes an irradiation range analysis module, a relationship construction module, an abnormality analysis module and an adjustment module; The illumination range analysis module is used to monitor the illumination intensity of historical street light sources and the illumination conditions of street lights, and obtain the light intensity error rate of street light illumination; analyze the relationship between the illumination intensity of any illumination point on the ground illuminated by the street light and the linear distance from the street light source, and obtain a number of target illumination points; and determine the farthest horizontal distance and maximum illumination angle of the street light illumination; The relationship building module is used to monitor the ambient light intensity of the environment where the street lamp is located, the traffic flow within the illumination range of the street lamp, and the light intensity of the street lamp light source at each historical time, and obtain a street lamp data set; establish a street lamp light intensity adjustment model, simulate the change of the light intensity of the street lamp light source, and train the street lamp light intensity adjustment model through the street lamp data set; The abnormal analysis module is used to monitor the ambient light intensity of the street lamp, traffic flow and the light intensity of the street lamp light source in real time, and output the theoretical light intensity of the street lamp light source through the street lamp light intensity adjustment model; obtain the actual light intensity of the street lamp light source, determine whether to send an abnormal reminder to the street lamp, and obtain the light intensity requirement of any light point on the ground irradiated by the street lamp; The adjustment module is used to analyze the positional relationship between the street lamp and the adjacent street lamp and adjust the illumination angle of the adjacent street lamp when an abnormality occurs in the street lamp; and adjust the illumination intensity of the adjacent street lamp according to the light intensity requirement of any illumination point on the ground of the abnormal street lamp.
6. The intelligent control system according to claim 5, characterized in that: The irradiation range analysis module includes an error rate calculation unit and an irradiation range determination unit; The error rate calculation unit is used to monitor the historical illumination intensity of street lamp light sources and the illumination conditions of street lamps to obtain the light intensity error rate of street lamp illumination; the illumination range determination unit is used to analyze the illumination intensity of any illumination point on the ground illuminated by the street lamp and the changing relationship between the straight-line distance from the street lamp light source to obtain a number of target illumination points; and determine the farthest horizontal distance and maximum illumination angle of the street lamp illumination.
7. The intelligent control system according to claim 5, characterized in that: The relationship building module includes a data set building unit and a model building unit; The data set establishment unit is used to monitor the ambient light intensity of the environment in which the street lamp is located, the traffic flow within the street lamp illumination range and the light intensity of the street lamp light source at each historical time, and obtain a data set of the street lamp; the model construction unit is used to establish a street lamp light intensity adjustment model, simulate the change of the light intensity of the street lamp light source, and train the street lamp light intensity adjustment model through the street lamp data set.
8. The intelligent control system according to claim 5, characterized in that: The abnormality analysis module includes an abnormality judgment unit and a demand quantity calculation unit; The abnormality judgment unit is used to monitor the ambient light intensity of the street lamp, the traffic flow and the light intensity of the street lamp light source in real time, and output the theoretical light intensity of the street lamp light source through the street lamp light intensity adjustment model; obtain the actual light intensity of the street lamp light source, and judge whether to send an abnormal reminder to the street lamp; The demand calculation unit is used to obtain the light intensity demand of any lighting point on the ground irradiated by the street lamp.
9. The intelligent control system according to claim 5, characterized in that: The adjustment module includes an angle adjustment unit and a light intensity adjustment unit; The angle adjustment unit is used to analyze the positional relationship between the abnormal street lamp and the adjacent street lamp and adjust the illumination angle of the adjacent street lamp when the street lamp is abnormal; the light intensity adjustment unit is used to adjust the light intensity of the adjacent street lamp according to the light intensity requirement of any lighting point on the ground of the abnormal street lamp.