Street lighting management system based on wireless networking
Through the wireless networking of the street lamp lighting management system, the brightness of the street lamps can be monitored and intelligently controlled in real time, solving the problems of weak operating status monitoring and high energy consumption in the traditional street lamp management model, realizing the adaptability and energy-saving control of the street lamp brightness, and improving the safety and efficiency of urban road lighting.
Patent Information
- Application Number
- CN202411793169.7
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-09
- Publication Date
- 2025-10-03
- Estimated Expiration
- 2044-12-09
AI Technical Summary
Traditional street lighting management models are difficult to adapt to the complex and ever-changing operating environment of modern cities, resulting in weak operating status monitoring, high energy consumption, poor lighting effects, and an inability to dynamically adjust brightness based on real-time regional traffic, affecting traffic safety and energy saving effects.
The street lamp lighting management system based on wireless networking monitors the operating status of street lamps, external environment and regional flow parameters in real time through the data acquisition module, transmits data to the street lamp lighting management platform using the wireless communication module, and combines it with the brightness optimization control module for intelligent regulation to achieve dynamic adjustment of street lamp brightness.
It improves the stability and reliability of the street lighting system, reduces energy consumption, avoids light pollution and traffic safety hazards, improves road traffic efficiency and safety, and meets the lighting needs of urban residents.
Smart Images

Figure CN119545620B_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of street lamp lighting management, and in particular to a street lamp lighting management system based on wireless networking. Background Art
[0002] With the rapid development of urbanization, urban road infrastructure continues to expand and improve. As a key component of urban road lighting, street lamps are growing exponentially in number and their coverage is becoming increasingly extensive. However, traditional street lighting management models have exposed many difficult problems in the face of the complex and changing operating environment of modern cities and the growing demand for refined management. They are difficult to conform to the concept of efficient, intelligent, and energy-saving urban construction.
[0003] Under the traditional street lighting management structure, on the one hand, the monitoring of street lamp operating status is extremely weak. Municipal departments mostly rely on regular inspections or citizen reports to detect street lamp failures. This passive operation and maintenance method is extremely inefficient and has a significant time lag. It is difficult to predict potential failure risks in advance, resulting in blind allocation of maintenance resources and high operation and maintenance costs.
[0004] On the other hand, traditional street lighting completely fails to consider the profound impact of external environmental factors on street lighting effectiveness. Different road sections are located in vastly different natural environments, with complex and variable lighting conditions. For example, sections adjacent to open natural landscapes such as parks and waterways receive ample sunlight during the day, while at night, moonlight and reflected light from the surrounding environment are strong. Streetlights can be dimmed appropriately to conserve energy. However, streetlights located in neighborhoods with tall buildings and dense vegetation are obscured by buildings and branches, limiting their illumination range and severely compromising lighting effectiveness. However, current systems are unable to adaptively adjust brightness to compensate. Furthermore, various interfering light sources flood city streets. The constant, strong light from advertising light boxes and the flashing light from vehicle headlights interfere with the normal lighting output of streetlights. Traditional streetlights have no way to address this, resulting in wasted energy, poor lighting uniformity, and poor comfort, which degrades the nighttime travel experience for citizens.
[0005] Furthermore, urban roads exhibit significant tidal characteristics in terms of vehicle and pedestrian traffic, yet traditional streetlights employ a uniform, fixed lighting pattern, unable to dynamically and flexibly adapt brightness based on real-time regional traffic flow. Late at night, when traffic is sparse and pedestrians are scarce, main roads and minor roads maintain high-intensity lighting, resulting in alarming energy waste. Conversely, during peak commuting hours, some key intersections and densely populated commercial districts struggle to meet traffic lighting requirements due to insufficient lighting brightness increases, raising concerns about traffic safety. This static lighting control, which disregards regional traffic variations, is neither conducive to energy conservation nor guarantees optimal lighting quality.
[0006] In order to solve the above-mentioned defects, a technical solution is now provided. Summary of the Invention
[0007] The purpose of the present invention is to provide a street lamp lighting management system based on wireless networking to solve the problems raised in the above background.
[0008] The purpose of the present invention can be achieved through the following technical solution: a street lamp lighting management system based on wireless networking, including: a street lamp terminal and a street lamp lighting management platform.
[0009] The street lamp terminal includes a data acquisition module and a wireless communication module;
[0010] The data acquisition module is used to collect the working status parameter information, external environment impact parameter information and regional traffic status parameter information of each street lamp corresponding to the target urban road area within a unit time period;
[0011] The wireless communication module is used to transmit the working status parameter information, external environment impact parameter information and regional traffic status parameter information of each street lamp corresponding to the target urban road area within a unit time period to the street lamp lighting management platform through wireless communication technology;
[0012] The street lighting management platform includes a street lamp operation analysis module, an environmental impact analysis module, a regional flow analysis module, a brightness optimization control module and an execution terminal;
[0013] The streetlight operation analysis module is used to receive the operating status parameter information of each streetlight corresponding to the target urban road area, and perform analysis and processing on the operating status of each streetlight corresponding to the target urban road area, thereby generating a normal operation signal and an abnormal operation signal, and sending the abnormal operation signal to the execution terminal for corresponding early warning operation;
[0014] The environmental impact analysis module is used to receive external environmental impact parameter information corresponding to each street lamp in the target city area, and perform external environmental impact status determination and analysis processing on each street lamp in the target city area, thereby generating a light external environmental impact signal, a moderate external environmental impact signal, and a heavy external environmental impact signal, and sending them all to the brightness optimization control module;
[0015] The regional flow analysis module is used to receive regional flow state parameter information corresponding to each street lamp in the target city area, and perform regional flow state determination and analysis processing corresponding to each street lamp in the target city road area, thereby generating a low regional flow signal, a medium regional flow signal and a high regional flow signal, and sending them to the brightness optimization control module;
[0016] The brightness optimization control module is used to receive the external environment impact level type determination signal and the regional traffic level determination signal, and integrate the two types of signals to perform brightness control processing on each street lamp corresponding to the target urban road area, and based on the brightness control parameters of each street lamp corresponding to the target urban road area, perform brightness control operations on each street lamp corresponding to the target urban road area through the execution terminal.
[0017] Furthermore, the specific execution steps of determining and analyzing the working status of each streetlight in the target urban road area are as follows:
[0018] Obtain in real time the flashing frequency, operating parameter deviation, and power consumption of each streetlight in the target urban road area within a unit time period, and mark them as PL i , γ i HL i , and conduct a formal analysis based on the set formula Get the working coefficient θ of each street lamp corresponding to the target city road area i , where i represents the number of each street lamp corresponding to the target urban road area, i = 1, 2, ..., m, m represents the total number of street lamp numbers corresponding to the target urban road area, HL0 represents the set reference power consumption, α1, α2 and α3 represent the correction factor coefficients of flicker frequency, operating parameter deviation and power consumption respectively;
[0019] Set the comparison threshold Yu of the working operation coefficient, and substitute the working operation coefficient into the preset comparison threshold Yu for comparative analysis. When the working operation coefficient is greater than the preset comparison threshold Yu, a normal working operation signal is generated. When the working operation coefficient is less than or equal to the preset comparison threshold Yu, an abnormal working operation signal is generated.
[0020] Furthermore, the specific solution process of the operating parameter deviation is as follows:
[0021] The actual operating voltage, actual operating current and actual operating temperature of each street lamp at each monitoring time point in the target urban road area within a unit time period are obtained in real time, and marked as U ij , I ij and WD ij , and conduct a formal analysis based on the set formula Obtain the operating voltage deviation γ of each street lamp at each monitoring time point in the target city road area ij (U), operating current deviation γ ij (I) and operating temperature deviation γ ij(WD), where j represents the number of each monitoring time point in the unit time period, j = 1, 2, ..., n, n represents the total number of monitoring time point numbers in the unit time period, e represents a natural constant, U0, I0, and WD0 represent the set suitable operating voltage, suitable operating current, and suitable operating temperature, respectively;
[0022] According to the set formula Get the deviation of the operating parameters of each street light in the target urban road area γ i , a1, a2 and a3 represent the weight factor coefficients of the operating voltage deviation, the operating current deviation and the operating temperature deviation respectively.
[0023] Furthermore, the specific execution steps of the external environment impact status determination and analysis processing corresponding to each street lamp in the target city area are as follows:
[0024] From the external environment influencing parameter information of each street lamp in the target city road area, the regional natural light intensity, weather visibility, surrounding occlusion degree, stable strong light interference light source influence degree and flickering unstable interference light source influence degree of each street lamp in the target city road area within a unit time period are obtained, and they are calibrated as gz respectively. i 、nj i , O i 、 And conduct a formula analysis based on the set formula Get the external environment impact index τ of each street lamp in the target city road area i , where β1, β2, β3, β4, and β5 represent the weight factor coefficients corresponding to the regional natural light intensity, weather visibility, surrounding occlusion degree, the influence of stable strong light interference light source, and the influence of flickering unstable interference light source, respectively;
[0025] Set the gradient reference intervals range1, range2 and range3 of the external environmental impact index, and substitute the external environmental impact index into the preset gradient reference intervals range1, range2 and range3 for comparative analysis;
[0026] When the external environment impact index is within the preset gradient reference interval range1, a mild external environment impact signal is generated; when the external environment impact index is within the preset gradient reference interval range2, a moderate external environment impact signal is generated; when the external environment impact index is within the preset gradient reference interval range3, a severe external environment impact signal is generated.
[0027] Furthermore, the specific solution process of the surrounding occlusion degree is as follows:
[0028] Obtain the regional lighting area and the projection contour area of the regional lighting obstruction corresponding to each street lamp in the target urban road area within a unit time period in real time, and calibrate them as And conduct a formula analysis based on the set formula Obtain the surrounding occlusion degree O of each street lamp in the target city road area i , where obstructions include but are not limited to buildings and vegetation.
[0029] Furthermore, the specific solution process for the influence of stable strong light interference light source is as follows:
[0030] Real-time acquisition of the brightness, distance, and angle values of each stable strong light interference light source within the set area of each street lamp in the target urban road area within a unit time period, and sequentially setting the parameter comparison thresholds TH1, TH2, and TH3 of each stable strong light interference light source, and comparing and analyzing the parameter data of each stable strong light interference light source with the corresponding preset thresholds;
[0031] When the brightness value of a certain stable strong light interference light source is less than the preset contrast threshold TH1, the brightness value of the stable strong light interference light source is assigned to S1 points; when the brightness value of a certain stable strong light interference light source is greater than or equal to the preset contrast threshold TH1, the brightness value of the stable strong light interference light source is assigned to S2 points;
[0032] When the distance value of a certain stable strong light interference light source is less than the preset contrast threshold TH2, the distance value of the stable strong light interference light source is assigned to S2 points; when the distance value of a certain stable strong light interference light source is greater than or equal to the preset contrast threshold TH2, the distance value of the stable strong light interference light source is assigned to S1 points;
[0033] When the angle value of a certain stable strong light interference light source is less than the preset contrast threshold TH3, the angle value of the stable strong light interference light source is assigned to S2 points; when the angle value of a certain stable strong light interference light source is greater than or equal to the preset contrast threshold TH3, the angle value of the stable strong light interference light source is assigned to S1 points;
[0034] The assigned scores of the brightness values, distance values, and angle values of all stable strong light interference light sources corresponding to each street lamp in the target urban road area within the set area are superimposed and analyzed, and the influence degree of the stable strong light interference light source corresponding to each street lamp in the target urban road area within the set area is obtained accordingly;
[0035] It should be noted that the stable strong light interference light source refers to the advertising light box, the brightness value refers to the ratio of the brightness of the stable strong light interference light source to the brightness of the street lamp, the distance value refers to the distance between the stable strong light interference light source and the center of the street lamp lighting area, and the angle value refers to the angle of the stable strong light interference light source relative to the center of the street lamp lighting area.
[0036] Furthermore, the specific solution process for the influence of flickering unstable interference light source is as follows:
[0037] Real-time acquisition of the average brightness and flicker frequency of flickering unstable interference light sources of each streetlight in the target urban road area within the set area within a unit time period, and sequentially set flickering unstable interference light source parameter comparison thresholds TD1 and TD2, and compare and analyze the flickering unstable interference light source parameter data with the corresponding preset thresholds;
[0038] When the average brightness value of the flickering unstable interference light source is less than the preset contrast threshold TD1, the average brightness value of the flickering unstable interference light source is assigned T1 points; when the average brightness value of the flickering unstable interference light source is greater than or equal to the preset contrast threshold TD1, the average brightness value of the flickering unstable interference light source is assigned T2 points;
[0039] When the flicker frequency of the flickering unstable interference light source is less than the preset contrast threshold TD2, the flicker frequency of the flickering unstable interference light source is assigned a value of T1 points; when the flicker frequency of the flickering unstable interference light source is greater than or equal to the preset contrast threshold TD2, the flicker frequency of the flickering unstable interference light source is assigned a value of T2 points;
[0040] The average brightness value and flicker frequency assigned scores of the flickering unstable interference light sources of each street lamp in the target city road area within the set area are superimposed and analyzed, and the impact degree of the flickering unstable interference light sources of each street lamp in the target city road area within the set area is obtained accordingly.
[0041] Furthermore, the specific execution steps of the regional traffic status determination and analysis processing corresponding to each streetlight in the target urban road area are as follows:
[0042] Obtain in real time the regional traffic density, average walking speed, average vehicle speed, average stay time and average vehicle travel time of each street light in the target urban road area within a unit time period, and mark them as JM respectively. i RV i 、CV i , RT i , CT i , and conduct a formal analysis based on the set formula Get the regional flow state index η of each street light in the target city road area i, JM', RV', CV', RT', CT' represent the set reference regional flow density, reference average walking speed, reference average vehicle speed, reference average personnel stay time and reference average vehicle travel time, respectively; δ1, δ2, δ3, δ4 and δ5 represent the conversion factor coefficients corresponding to the set regional flow density, average personnel walking speed, average vehicle speed, average personnel stay time and average vehicle travel time, respectively;
[0043] Set a first reference threshold value 1 and a second reference threshold value 2 for the regional traffic state index, and substitute the regional traffic state index into the preset first reference threshold value 1 and the second reference threshold value 2 for comparative analysis;
[0044] When the regional flow state index is less than the preset first reference threshold value1, a low regional flow signal is generated; when the regional flow state index is between the preset first reference threshold value1 and the second reference threshold value2, a medium regional flow signal is generated; when the regional flow state index is greater than the preset second reference threshold value2, a high regional flow signal is generated.
[0045] Furthermore, the specific steps for performing brightness control on each streetlight in the target urban road area are as follows:
[0046] According to the external environment impact level type judgment signal, a set X is established, and the light external environment impact signal is marked as element o1, the moderate external environment impact signal is marked as element o2, and the heavy external environment impact signal is marked as element o3, and element o1∈set X, element o2∈set X, and element o3∈set X;
[0047] According to the regional flow state level type judgment signal, a set Y is established, the low regional flow signal is marked as element p1, the medium regional flow signal is marked as element p2, and the high regional flow signal is marked as element p3, and element p1∈set Y, element p2∈set Y, and element p3∈set Y;
[0048] Perform union processing on the set X and the set Y. If X∪Y={o1, p1}, a first-level lighting brightness control demand signal is generated. If X∪Y={o1, p2} or {o2, p2} or {o1, p3} or {o2, p1} or {o3, p1}, a second-level lighting brightness control demand signal is generated. If X∪Y={o3, p3} or {o2, p3} or {o3, p2}, a third-level lighting brightness control demand signal is generated.
[0049] The lighting brightness control demand level determination signal is matched with the lighting brightness control demand level determination signal corresponding to each set brightness control parameter to obtain the brightness control parameter corresponding to the lighting brightness control demand level determination signal.
[0050] Beneficial effects of the present invention:
[0051] The present invention uses formulaic analysis and threshold comparison to determine and analyze the working status of each street lamp in the target urban road area. It can promptly detect abnormal conditions of street lamps, improve the timely responsiveness of abnormal street lamp operation to a certain extent, ensure the overall stability of the street lamp system, improve the reliability of street lamp lighting, and avoid adverse effects on traffic safety and the urban night environment caused by street lamp failures.
[0052] The present invention realizes the determination and analysis of the external environmental impact status of each street lamp in the target city road area through formula analysis and gradient interval comparison, and realizes the determination and analysis of the regional traffic status of each street lamp in the target city road area through data analysis, threshold comparison and signal output. The external environmental impact level determination signal and the regional traffic status level determination signal of each street lamp in the target city road area are comprehensively analyzed and processed by using a set analysis method. While realizing a comprehensive analysis of the brightness control demand status of each street lamp in the target city road area, it also lays the foundation for the optimal control of the street lamp brightness, making the control of the street lamp lighting brightness more targeted and adaptive to a certain extent, avoiding the phenomenon of excessive lighting when there is strong light interference in the surrounding area, reducing light pollution and traffic congestion and safety accidents caused by poor lighting, improving road traffic efficiency and safety, and better meeting the needs of urban residents for daily travel and various activities. BRIEF DESCRIPTION OF THE DRAWINGS
[0053] The present invention will be further described below with reference to the accompanying drawings.
[0054] Figure 1 It is a system block diagram of the present invention. DETAILED DESCRIPTION
[0055] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. 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 making creative efforts are within the scope of protection of the present invention.
[0056] See also Figure 1 As shown, the present invention is a street lamp lighting management system based on wireless networking, including: a street lamp terminal and a street lamp lighting management platform.
[0057] The street lamp end includes a data acquisition module and a wireless communication module, and the street lamp lighting management platform includes a street lamp operation analysis module, an environmental impact analysis module, a regional flow analysis module, a brightness optimization control module and an execution terminal;
[0058] The data acquisition module is used to collect the working status parameter information, external environment impact parameter information and regional traffic status parameter information of each street lamp corresponding to the target urban road area within a unit time period;
[0059] The wireless communication module is used to transmit the working status parameter information, external environment impact parameter information and regional traffic status parameter information of each street lamp corresponding to the target urban road area within a unit time period to the street lamp lighting management platform through wireless communication technology;
[0060] It should be noted that wireless communication technologies include NB-IoT, LoRa, WiFi, ZigBee, etc.
[0061] When the streetlight operation analysis module receives the operating status parameter information of each streetlight corresponding to the target city road area, it performs the determination and analysis of the operating status of each streetlight corresponding to the target city road area based on the information. The specific execution steps are as follows:
[0062] Obtain in real time the flashing frequency, operating parameter deviation, and power consumption of each streetlight in the target urban road area within a unit time period, and mark them as PL i , γ i HL i , and conduct a formal analysis based on the set formula Get the working coefficient θ of each street lamp corresponding to the target city road area i , where i represents the number of each street lamp corresponding to the target urban road area, i=1,2,....,m, m represents the total number of street lamp numbers corresponding to the target urban road area, HL0 represents the set reference power consumption, α1, α2 and α3 represent the correction factor coefficients of the flicker frequency, operating parameter deviation and power consumption, respectively, and the specific values of α1, α2 and α3 are set by those skilled in the art in specific cases. The correction factor coefficients are used to correct the deviations of various parameters in the calculation process of the formula, so as to make the calculation of parameter data more accurate;
[0063] The specific solution process of the operating parameter deviation is as follows:
[0064] The actual operating voltage, actual operating current and actual operating temperature of each street lamp at each monitoring time point in the target urban road area within a unit time period are obtained in real time, and marked as U ij , Iij and WD ij , and conduct a formal analysis based on the set formula Obtain the operating voltage deviation γ of each street lamp at each monitoring time point in the target city road area ij (U), operating current deviation γ ij (I) and operating temperature deviation γ ij (WD), where j represents the number of each monitoring time point in the unit time period, j = 1, 2, ..., n, n represents the total number of monitoring time point numbers in the unit time period, e represents a natural constant, U0, I0, and WD0 represent the set suitable operating voltage, suitable operating current, and suitable operating temperature, respectively;
[0065] According to the set formula Get the deviation of the operating parameters of each street light in the target urban road area γ i , a1, a2, and a3 represent weighting factors of the operating voltage deviation, the operating current deviation, and the operating temperature deviation, respectively. The specific values of a1, a2, and a3 are set by those skilled in the art in specific cases. The weighting factors are used to balance the weights of various data in the formula calculation, thereby improving the accuracy of the calculation results.
[0066] Set a comparison threshold Yu of the working operation coefficient, and substitute the working operation coefficient into the preset comparison threshold Yu for comparison analysis. When the working operation coefficient is greater than the preset comparison threshold Yu, a normal working operation signal is generated; when the working operation coefficient is less than or equal to the preset comparison threshold Yu, an abnormal working operation signal is generated;
[0067] The generated abnormal operation signal will be sent to the execution terminal for corresponding early warning operation.
[0068] When the environmental impact analysis module receives the external environmental impact parameter information of each street lamp in the target city area, it performs external environmental impact status determination and analysis of each street lamp in the target city area based on the information. The specific execution steps are as follows:
[0069] From the external environment influencing parameter information of each street lamp in the target city road area, the regional natural light intensity, weather visibility, surrounding occlusion degree, stable strong light interference light source influence degree and flickering unstable interference light source influence degree of each street lamp in the target city road area within a unit time period are obtained, and they are calibrated as gz respectively. i 、nj i , O i 、 And conduct a formula analysis based on the set formula Get the external environment impact index τ of each street lamp in the target city road area i , where β1, β2, β3, β4, and β5 represent weighting factor coefficients corresponding to regional natural light intensity, weather visibility, surrounding shading degree, influence of stable strong light interference light source, and influence of flickering unstable interference light source, respectively. The specific values of β1, β2, β3, β4, and β5 are set by those skilled in the art in specific cases. The weighting factor coefficients are used to balance the weights of various data in the formula calculation, thereby improving the accuracy of the calculation results.
[0070] The specific solution process of the surrounding occlusion degree is as follows:
[0071] Obtain the regional lighting area and the projection contour area of the regional lighting obstruction corresponding to each street lamp in the target urban road area within a unit time period in real time, and calibrate them as And conduct a formula analysis based on the set formula Obtain the surrounding occlusion degree O of each street lamp in the target city road area i ,wherein, obstructions include but are not limited to buildings and vegetation;
[0072] The specific solution process for the influence of stable strong light interference light source is as follows:
[0073] Real-time acquisition of the brightness, distance, and angle values of each stable strong light interference light source within the set area of each street lamp in the target urban road area within a unit time period, and sequentially setting the parameter comparison thresholds TH1, TH2, and TH3 of each stable strong light interference light source, and comparing and analyzing the parameter data of each stable strong light interference light source with the corresponding preset thresholds;
[0074] When the brightness value of a certain stable strong light interference light source is less than the preset contrast threshold TH1, the brightness value of the stable strong light interference light source is assigned to S1 points; when the brightness value of a certain stable strong light interference light source is greater than or equal to the preset contrast threshold TH1, the brightness value of the stable strong light interference light source is assigned to S2 points, wherein S1<S2, and the specific numerical values of S1 and S2 are set by those skilled in the art in specific cases;
[0075] When the distance value of a certain stable strong light interference light source is less than the preset contrast threshold TH2, the distance value of the stable strong light interference light source is assigned to S2 points; when the distance value of a certain stable strong light interference light source is greater than or equal to the preset contrast threshold TH2, the distance value of the stable strong light interference light source is assigned to S1 points;
[0076] When the angle value of a certain stable strong light interference light source is less than the preset contrast threshold TH3, the angle value of the stable strong light interference light source is assigned to S2 points; when the angle value of a certain stable strong light interference light source is greater than or equal to the preset contrast threshold TH3, the angle value of the stable strong light interference light source is assigned to S1 points;
[0077] The assigned scores of the brightness values, distance values, and angle values of all stable strong light interference light sources corresponding to each street lamp in the target urban road area within the set area are superimposed and analyzed, and the influence degree of the stable strong light interference light source corresponding to each street lamp in the target urban road area within the set area is obtained accordingly;
[0078] It should be noted that the stable strong light interference light source refers to the advertising light box, the brightness value refers to the ratio of the brightness of the stable strong light interference light source to the brightness of the street lamp, the distance value refers to the distance between the stable strong light interference light source and the center of the street lamp lighting area, and the angle value refers to the angle of the stable strong light interference light source relative to the center of the street lamp lighting area;
[0079] The specific solution process for the influence of flickering unstable interference light source is as follows:
[0080] Real-time acquisition of the average brightness and flicker frequency of flickering unstable interference light sources of each streetlight in the target urban road area within the set area within a unit time period, and sequentially set flickering unstable interference light source parameter comparison thresholds TD1 and TD2, and compare and analyze the flickering unstable interference light source parameter data with the corresponding preset thresholds;
[0081] When the average brightness value of the flickering unstable interference light source is less than the preset contrast threshold TD1, the average brightness value of the flickering unstable interference light source is assigned to T1 points; when the average brightness value of the flickering unstable interference light source is greater than or equal to the preset contrast threshold TD1, the average brightness value of the flickering unstable interference light source is assigned to T2 points, wherein T1<T2, and the specific values of T1 and T2 are set by those skilled in the art in specific cases;
[0082] When the flicker frequency of the flickering unstable interference light source is less than the preset contrast threshold TD2, the flicker frequency of the flickering unstable interference light source is assigned a value of T1 points; when the flicker frequency of the flickering unstable interference light source is greater than or equal to the preset contrast threshold TD2, the flicker frequency of the flickering unstable interference light source is assigned a value of T2 points;
[0083] The average brightness value and flicker frequency score of the flickering unstable interference light source corresponding to each street lamp in the target urban road area within the set area are superimposed and analyzed, and the impact degree of the flickering unstable interference light source corresponding to each street lamp in the target urban road area within the set area is obtained accordingly;
[0084] It should be noted that the flickering unstable interference light source refers to the vehicle headlights, and the average brightness value of the flickering unstable interference light source refers to the average value of the ratio of the brightness of all flickering unstable interference light sources to the brightness of the street lights;
[0085] Setting gradient reference intervals range1, range2, and range3 of the external environmental impact index, and substituting the external environmental impact index into the preset gradient reference intervals range1, range2, and range3 for comparative analysis, wherein the interval values of the gradient reference intervals range1, range2, and range3 increase in a gradient, and the specific interval values of range1, range2, and range3 are set by those skilled in the art in specific cases;
[0086] When the external environment impact index is within the preset gradient reference interval range1, a mild external environment impact signal is generated; when the external environment impact index is within the preset gradient reference interval range2, a moderate external environment impact signal is generated; when the external environment impact index is within the preset gradient reference interval range3, a severe external environment impact signal is generated;
[0087] The generated light external environment impact signal, moderate external environment impact signal and heavy external environment impact signal are all sent to the brightness optimization control module.
[0088] When the regional traffic analysis module receives the regional traffic status parameter information corresponding to each street lamp in the target city area, it performs regional traffic status determination and analysis processing corresponding to each street lamp in the target city road area based on the information. The specific execution steps are as follows:
[0089] Obtain in real time the regional traffic density, average walking speed, average vehicle speed, average stay time and average vehicle travel time of each street light in the target urban road area within a unit time period, and mark them as JM respectively. i RV i 、CV i , RT i , CT i , and conduct a formal analysis based on the set formula Get the regional flow state index η of each street light in the target city road area i, JM', RV', CV', RT', CT' represent the set reference area flow density, reference average personnel walking speed, reference average vehicle driving speed, reference average personnel stay time and reference average vehicle driving time, respectively. δ1, δ2, δ3, δ4 and δ5 represent the conversion factor coefficients corresponding to the set area flow density, average personnel walking speed, average vehicle driving speed, average personnel stay time and average vehicle driving time, respectively. The conversion factor coefficient is used to convert the physical quantities of all data items into data coefficients of the same physical quantity.
[0090] The specific solution process of regional flow density is as follows: obtain the regional personnel flow, regional vehicle flow and regional lighting area of each street light in the target urban road area in a unit time period in real time, and mark them as RL i , CL i 、 And conduct a formula analysis based on the set formula Get the regional flow density JM of each street light in the target city road area i ;
[0091] Setting a first reference threshold value 1 and a second reference threshold value 2 for the regional traffic state index, and substituting the regional traffic impact index into the preset first reference threshold value 1 and the second reference threshold value 2 for comparative analysis, wherein the first reference threshold value 1 is less than the second reference threshold value 2, and the specific values of the first reference threshold value 1 and the second reference threshold value 2 are set by those skilled in the art in specific cases;
[0092] When the regional flow state index is less than the preset first reference threshold value1, a low regional flow signal is generated; when the regional flow state index is between the preset first reference threshold value1 and the second reference threshold value2, a medium regional flow signal is generated; when the regional flow state index is greater than the preset second reference threshold value2, a high regional flow signal is generated;
[0093] The generated low area flow signal, medium area flow signal and high area flow signal are all sent to the brightness optimization control module.
[0094] When the brightness optimization control module receives the external environment impact level type determination signal and the regional traffic level determination signal, it integrates the two types of signals and performs brightness control processing on the corresponding street lights in the target urban road area. The specific execution steps are as follows:
[0095] According to the external environment impact level type judgment signal, a set X is established, and the light external environment impact signal is marked as element o1, the moderate external environment impact signal is marked as element o2, and the heavy external environment impact signal is marked as element o3, and element o1∈set X, element o2∈set X, and element o3∈set X;
[0096] According to the regional flow state level type judgment signal, a set Y is established, the low regional flow signal is marked as element p1, the medium regional flow signal is marked as element p2, and the high regional flow signal is marked as element p3, and element p1∈set Y, element p2∈set Y, and element p3∈set Y;
[0097] Perform union processing on the set X and the set Y. If X∪Y={o1, p1}, a first-level lighting brightness control demand signal is generated. If X∪Y={o1, p2} or {o2, p2} or {o1, p3} or {o2, p1} or {o3, p1}, a second-level lighting brightness control demand signal is generated. If X∪Y={o3, p3} or {o2, p3} or {o3, p2}, a third-level lighting brightness control demand signal is generated.
[0098] Matching the lighting brightness control demand level determination signal with the lighting brightness control demand level determination signals corresponding to the set brightness control parameters to obtain the brightness control parameters corresponding to the lighting brightness control demand level determination signal;
[0099] Based on the brightness control parameters of each street lamp corresponding to the target city road area, the brightness control operation is performed on each street lamp corresponding to the target city road area through the execution terminal.
[0100] When used, the present invention uses a formulaic analysis and threshold comparison method to determine and analyze the operating status of each streetlight in the target urban road area. This can promptly detect abnormal streetlight conditions, improve the timely responsiveness of abnormal streetlight conditions to a certain extent, ensure the overall stability of the streetlight system, improve the reliability of streetlight lighting, and avoid adverse effects on traffic safety and the urban nighttime environment caused by streetlight failures.
[0101] The present invention realizes the determination and analysis of the external environmental impact status of each street lamp in the target city road area through formula analysis and gradient interval comparison, and realizes the determination and analysis of the regional traffic status of each street lamp in the target city road area through data analysis, threshold comparison and signal output. The external environmental impact level determination signal and the regional traffic status level determination signal of each street lamp in the target city road area are comprehensively analyzed and processed by using a set analysis method. While realizing a comprehensive analysis of the brightness control demand status of each street lamp in the target city road area, it also lays the foundation for the optimal control of the street lamp brightness, making the control of the street lamp lighting brightness more targeted and adaptive to a certain extent, avoiding the phenomenon of excessive lighting when there is strong light interference in the surrounding area, reducing light pollution and traffic congestion and safety accidents caused by poor lighting, improving road traffic efficiency and safety, and better meeting the needs of urban residents for daily travel and various activities.
[0102] The above content is merely an example and explanation of the structure of the present invention. Those skilled in the art may make various modifications or additions to the described specific embodiments or replace them in a similar manner. As long as they do not deviate from the structure of the invention or exceed the scope defined by the claims, they should all fall within the scope of protection of the present invention.
Claims
1. A street lighting management system based on wireless networking, characterized in that: include: Streetlight terminal and street lighting management platform; The street lighting management platform includes a street lamp operation analysis module, an environmental impact analysis module, a regional flow analysis module, a brightness optimization control module and an execution terminal; The streetlight operation analysis module is used to receive the operating status parameter information of each streetlight corresponding to the target urban road area, and perform analysis and processing on the operating status of each streetlight corresponding to the target urban road area, thereby generating a normal operation signal and an abnormal operation signal, and sending the abnormal operation signal to the execution terminal for corresponding early warning operation; The specific execution steps of the determination and analysis process of the working status of each street lamp in the target urban road area are as follows: Obtain in real time the flashing frequency, operating parameter deviation, and power consumption of each streetlight in the target urban road area within a unit time period, and mark them as PL i , γ i HL i , and conduct a formal analysis based on the set formula Get the working coefficient θ of each street lamp corresponding to the target city road area i , where i represents the number of each street lamp corresponding to the target urban road area, i = 1, 2, ..., m, m represents the total number of street lamp numbers corresponding to the target urban road area, HL0 represents the set reference power consumption, α1, α2 and α3 represent the correction factor coefficients of flicker frequency, operating parameter deviation and power consumption respectively; Set a comparison threshold Yu of the working operation coefficient, and substitute the working operation coefficient into the preset comparison threshold Yu for comparison analysis. When the working operation coefficient is greater than the preset comparison threshold Yu, a normal working operation signal is generated; when the working operation coefficient is less than or equal to the preset comparison threshold Yu, an abnormal working operation signal is generated; The specific solution process of the operating parameter deviation is as follows: The actual operating voltage, actual operating current and actual operating temperature of each street lamp at each monitoring time point in the target urban road area within a unit time period are obtained in real time, and marked as U ij , I ij and WD ij , and conduct a formal analysis based on the set formula Obtain the operating voltage deviation γ of each street lamp at each monitoring time point in the target city road area ij (U), operating current deviation γ ij (I) and operating temperature deviation γ ij (WD), where j represents the number of each monitoring time point in the unit time period, j = 1, 2, ..., n, n represents the total number of monitoring time point numbers in the unit time period, e represents a natural constant, U0, I0, and WD0 represent the set suitable operating voltage, suitable operating current, and suitable operating temperature, respectively; According to the set formula Get the deviation of the operating parameters of each street light in the target urban road area γ i , a1, a2 and a3 represent the weighting factor coefficients of the operating voltage deviation, the operating current deviation and the operating temperature deviation respectively; The environmental impact analysis module is used to receive external environmental impact parameter information corresponding to each street lamp in the target city area, and perform external environmental impact status determination and analysis processing on each street lamp in the target city area, thereby generating a light external environmental impact signal, a moderate external environmental impact signal, and a heavy external environmental impact signal, and sending them all to the brightness optimization control module; The regional flow analysis module is used to receive regional flow state parameter information corresponding to each street lamp in the target city area, and perform regional flow state determination and analysis processing corresponding to each street lamp in the target city road area, thereby generating a low regional flow signal, a medium regional flow signal and a high regional flow signal, and sending them to the brightness optimization control module; The brightness optimization control module is used to receive the external environment impact level type determination signal and the regional traffic level determination signal, and integrate the two types of signals to perform brightness control processing on each street lamp corresponding to the target urban road area, and based on the brightness control parameters of each street lamp corresponding to the target urban road area, perform brightness control operations on each street lamp corresponding to the target urban road area through the execution terminal.
2. The street lamp lighting management system based on wireless networking according to claim 1, characterized in that: The street lamp terminal includes a data acquisition module and a wireless communication module; The data acquisition module is used to collect the working status parameter information, external environment impact parameter information and regional traffic status parameter information of each street lamp corresponding to the target urban road area within a unit time period; The wireless communication module is used to transmit the working status parameter information, external environment impact parameter information and regional traffic status parameter information of each street lamp corresponding to the target urban road area within a unit time period to the street lamp lighting management platform through wireless communication technology.
3. The street lamp lighting management system based on wireless networking according to claim 1, characterized in that: The specific execution steps of the external environment impact status determination and analysis process corresponding to each street lamp in the target city area are as follows: From the external environment influencing parameter information of each street lamp in the target city road area, the regional natural light intensity, weather visibility, surrounding occlusion degree, stable strong light interference light source influence degree and flickering unstable interference light source influence degree of each street lamp in the target city road area within a unit time period are obtained, and they are calibrated as gz respectively. i 、nj i , O i 、 And conduct a formula analysis based on the set formula Get the external environment impact index τ of each street lamp in the target city road area i , where β1, β2, β3, β4, and β5 represent the weight factor coefficients corresponding to the regional natural light intensity, weather visibility, surrounding occlusion degree, the influence of stable strong light interference light source, and the influence of flickering unstable interference light source, respectively; Set the gradient reference intervals range1, range2 and range3 of the external environmental impact index, and substitute the external environmental impact index into the preset gradient reference intervals range1, range2 and range3 for comparative analysis; When the external environment impact index is within the preset gradient reference interval range1, a mild external environment impact signal is generated; when the external environment impact index is within the preset gradient reference interval range2, a moderate external environment impact signal is generated; when the external environment impact index is within the preset gradient reference interval range3, a severe external environment impact signal is generated; The specific solution process of the surrounding occlusion degree is as follows: Obtain the regional lighting area and the projection contour area of the regional lighting obstruction corresponding to each street lamp in the target urban road area within a unit time period in real time, and calibrate them as And conduct a formula analysis based on the set formula Obtain the surrounding occlusion degree O of each street lamp in the target city road area i ,wherein, obstructions include but are not limited to buildings and vegetation; The specific solution process of the influence degree of the stable strong light interference light source is as follows: Real-time acquisition of the brightness, distance, and angle values of each stable strong light interference light source within the set area of each street lamp in the target urban road area within a unit time period, and sequentially setting the parameter comparison thresholds TH1, TH2, and TH3 of each stable strong light interference light source, and comparing and analyzing the parameter data of each stable strong light interference light source with the corresponding preset thresholds; When the brightness value of a certain stable strong light interference light source is less than the preset contrast threshold TH1, the brightness value of the stable strong light interference light source is assigned to S1 points; when the brightness value of a certain stable strong light interference light source is greater than or equal to the preset contrast threshold TH1, the brightness value of the stable strong light interference light source is assigned to S2 points; When the distance value of a certain stable strong light interference light source is less than the preset contrast threshold TH2, the distance value of the stable strong light interference light source is assigned to S2 points; when the distance value of a certain stable strong light interference light source is greater than or equal to the preset contrast threshold TH2, the distance value of the stable strong light interference light source is assigned to S1 points; When the angle value of a certain stable strong light interference light source is less than the preset contrast threshold TH3, the angle value of the stable strong light interference light source is assigned to S2 points; when the angle value of a certain stable strong light interference light source is greater than or equal to the preset contrast threshold TH3, the angle value of the stable strong light interference light source is assigned to S1 points; The assigned scores of the brightness values, distance values, and angle values of all stable strong light interference light sources corresponding to each street lamp in the target urban road area within the set area are superimposed and analyzed, and the influence degree of the stable strong light interference light source corresponding to each street lamp in the target urban road area within the set area is obtained accordingly; The specific solution process of the influence degree of the flickering unstable interference light source is as follows: Real-time acquisition of the average brightness and flicker frequency of flickering unstable interference light sources of each streetlight in the target urban road area within the set area within a unit time period, and sequentially set flickering unstable interference light source parameter comparison thresholds TD1 and TD2, and compare and analyze the flickering unstable interference light source parameter data with the corresponding preset thresholds; When the average brightness value of the flickering unstable interference light source is less than the preset contrast threshold TD1, the average brightness value of the flickering unstable interference light source is assigned T1 points; when the average brightness value of the flickering unstable interference light source is greater than or equal to the preset contrast threshold TD1, the average brightness value of the flickering unstable interference light source is assigned T2 points; When the flicker frequency of the flickering unstable interference light source is less than the preset contrast threshold TD2, the flicker frequency of the flickering unstable interference light source is assigned a value of T1 points; when the flicker frequency of the flickering unstable interference light source is greater than or equal to the preset contrast threshold TD2, the flicker frequency of the flickering unstable interference light source is assigned a value of T2 points; The average brightness value and flicker frequency assigned scores of the flickering unstable interference light sources of each street lamp in the target city road area within the set area are superimposed and analyzed, and the impact degree of the flickering unstable interference light sources of each street lamp in the target city road area within the set area is obtained accordingly.
4. The street lamp lighting management system based on wireless networking according to claim 1, characterized in that: The specific execution steps of the regional traffic status determination and analysis process corresponding to each street lamp in the target urban road area are as follows: Obtain in real time the regional traffic density, average walking speed, average vehicle speed, average stay time and average vehicle travel time of each street light in the target urban road area within a unit time period, and mark them as JM respectively. i RV i 、CV i , RT i , CT i , and conduct a formal analysis based on the set formula Get the regional flow state index η of each street light in the target city road area i , JM', RV', CV', RT', CT' represent the set reference regional flow density, reference average walking speed, reference average vehicle speed, reference average personnel stay time and reference average vehicle travel time, respectively; δ1, δ2, δ3, δ4 and δ5 represent the conversion factor coefficients corresponding to the set regional flow density, average personnel walking speed, average vehicle speed, average personnel stay time and average vehicle travel time, respectively; Set a first reference threshold value 1 and a second reference threshold value 2 for the regional traffic state index, and substitute the regional traffic state index into the preset first reference threshold value 1 and the second reference threshold value 2 for comparative analysis; When the regional flow state index is less than the preset first reference threshold value1, a low regional flow signal is generated; when the regional flow state index is between the preset first reference threshold value1 and the second reference threshold value2, a medium regional flow signal is generated; when the regional flow state index is greater than the preset second reference threshold value2, a high regional flow signal is generated.
5. The street lighting management system based on wireless networking according to claim 1, characterized in that: The specific steps for performing brightness control on the streetlights in the target urban road area are as follows: According to the external environment impact level type judgment signal, a set X is established, and the light external environment impact signal is marked as element o1, the moderate external environment impact signal is marked as element o2, and the heavy external environment impact signal is marked as element o3, and element o1∈set X, element o2∈set X, and element o3∈set X; According to the regional flow state level type judgment signal, a set Y is established, the low regional flow signal is marked as element p1, the medium regional flow signal is marked as element p2, and the high regional flow signal is marked as element p3, and element p1∈set Y, element p2∈set Y, and element p3∈set Y; Perform union processing on the set X and the set Y. If X∪Y={o1, p1}, a first-level lighting brightness control demand signal is generated. If X∪Y={o1, p2} or {o2, p2} or {o1, p3} or {o2, p1} or {o3, p1}, a second-level lighting brightness control demand signal is generated. If X∪Y={o3, p3} or {o2, p3} or {o3, p2}, a third-level lighting brightness control demand signal is generated. The lighting brightness control demand level determination signal is matched with the lighting brightness control demand level determination signal corresponding to each set brightness control parameter to obtain the brightness control parameter corresponding to the lighting brightness control demand level determination signal.
Citation Information
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Self-adaptive dimming intelligent street lamp monitoring system and method based on wireless sensor network
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