A smart city management system and method

Abstract

The present invention relates to the field of smart cities, and discloses a smart city management system and method, comprising: an information collection module, a real-time information acquisition unit, which is used to collect real-time environmental information of a target area; a stage information acquisition unit, which is used to collect stage weather information of the target area at preset time intervals; an information processing module, which is used to receive the real-time environmental information and stage weather information collected by the information collection unit in real time, and obtain a first lighting demand degree and a second lighting demand degree after processing according to processing rule one and processing rule two respectively; an information analysis module, which is used to analyze the first lighting demand degree and the second lighting demand degree comprehensively, and judge whether to adjust a preset lighting control strategy according to the analysis result; and a lighting control module, which executes according to the adjusted lighting control strategy if the lighting control strategy is adjusted, otherwise executes according to the preset lighting control strategy.

Description

Technical Field

[0001] The present invention relates to the field of smart cities, and in particular to a smart city management system and method. Background Art

[0002] Traditional urban management has problems such as information islands, low efficiency, and slow response, which makes it difficult to meet the needs of modern urban development. Therefore, building an efficient and intelligent smart city management system has become an important direction for the modernization of urban management.

[0003] The smart city management system mainly includes infrastructure, public services, transportation, environmental monitoring, public safety, and medical services. Among them, the urban lighting system belongs to the intersection of infrastructure and public services and is an important part of the smart city management system.

[0004] Existing urban street lights adopt a scheduled on and off management method, which is relatively mechanical. In some cases where visibility is reduced or increased due to climate or other factors, such as haze or cloudy days, or when visibility is lower than usual, the urban street lights are still turned on at the original time, which obviously cannot meet the lighting needs. Between the summer solstice and the autumnal equinox, the days are long and the nights are short, and the visibility is still sufficient at the original time when the street lights are turned on, which obviously causes a waste of resources. Therefore, how to dynamically adjust urban street lights according to real-time changes in visibility is one of the obstacles to smart city management and needs to be solved urgently. Summary of the invention

[0005] The purpose of the present invention is to provide a smart city management system and method to solve the above technical problems.

[0006] The purpose of the present invention can be achieved through the following technical solutions:

[0007] A smart city management system, characterized by comprising:

[0008] An information acquisition module, including a real-time information acquisition unit and a stage information acquisition unit;

[0009] A real-time information acquisition unit, used to collect real-time environmental information of the target area;

[0010] The stage information acquisition unit is used to collect the stage weather information of the target area according to the preset time interval;

[0011] An information processing module, used for receiving the real-time environmental information and stage weather information collected by the information collection unit in real time, and obtaining the first lighting demand degree 1 and the second lighting demand degree after processing according to the processing rule 1 and the processing rule 2 respectively;

[0012] An information analysis module, used to analyze the first lighting demand degree and the second lighting demand degree, and determine whether to adjust the preset lighting control strategy according to the analysis result;

[0013] The lighting control module executes according to the adjusted lighting control strategy if the lighting control strategy is adjusted, otherwise it executes according to the predetermined lighting control strategy.

[0014] As a further technical solution, the process of obtaining the first lighting demand degree according to the processing rule 1 includes:

[0015] Obtain the natural light intensity of the target area through the light intensity sensor ;

[0016] The video information obtained by the camera is processed by the image processing module to obtain the flow of people and traffic flow ;

[0017] The natural light intensity , Traffic and traffic flow Substituting into the formula:

[0018] Calculate the first lighting requirement of the current target area ;

[0019] in, is the number of roads in the target area, is the length of each road, is the width of each road, is the number of street lights on each road, is the judgment function about natural light intensity, is the road busyness index, , , is the preset scale factor.

[0020] As a further technical solution, obtain the judgment function about the natural light illumination The method is:

[0021] The natural light intensity and preset light thresholds Substitute the following formula:

[0022] Get the judgment function about natural light intensity ;

[0023] in, is the conversion coefficient, is the risk factor.

[0024] As a further technical solution, obtaining the risk coefficient The process is:

[0025] Get natural light Equal to the preset light threshold and marked as the first time point , get the interval The second time point after ;

[0026] Get the first time point To the second time point Natural light intensity between Curves of change over time ;

[0027] Will With light threshold The formed straight lines are drawn together in the same rectangular coordinate system, wherein the rectangular coordinate system has time as the horizontal axis and natural light illumination as the vertical axis;

[0028] Get With straight line The number of intersections, if the number of intersections ≥ 2, then ,otherwise,

[0029] ,

[0030] in, It is a reference curve of natural light intensity changing over time based on historical data.

[0031] As a further technical solution, a method for obtaining the second lighting demand is:

[0032] Obtain the visibility coefficient of the target area through real-time detection of LiDAR ;

[0033] By formula: Calculate the second lighting requirement ;

[0034] in, is the preset scale factor, is the total number of random detections per unit time, For the The reference coefficient of the second test, is the preset visibility threshold, is the exponential coefficient.

[0035] As a further technical solution, the exponential coefficient The method to obtain is:

[0036] By formula: Calculate the exponential coefficient ;

[0037] in, is the number of sub-periods divided into a unit period, For the The weight coefficient corresponding to each posture segment is is the reference value.

[0038] As a further technical solution, the working process of the information analysis module is:

[0039] The first lighting requirement and the second lighting demand Substitute the following formula: Calculate lighting control indicators ;

[0040] According to the preset working hours and non-working hours of street lights in the target area, the lighting control indicators are Adjust thresholds with preset lighting control strategies Comparison, and judging whether the preset lighting control strategy needs to be adjusted according to the comparison result;

[0041] like , then it is determined that the preset lighting control strategy needs to be adjusted;

[0042] Otherwise, it is determined that there is no need to adjust the preset lighting control strategy;

[0043] in, , is the preset conversion factor.

[0044] As a further technical solution, the process of adjusting the lighting control strategy is:

[0045] If the street lights in the target area are not working, , then the street lights in the current target area are turned on immediately, otherwise, the street lights are turned on after the working hours arrive;

[0046] If it is within the working hours of the street lights in the target area, , then control the street lights in the current target area to reduce their brightness, otherwise, wait until the non-working hours to turn off the street lights.

[0047] A smart city management method, which is applicable to the smart city management system.

[0048] Beneficial effects of the present invention:

[0049] The present invention utilizes real-time environmental information and stage weather information to comprehensively analyze and judge the actual demand for street lighting. Obviously, when haze, heavy fog, heavy snow, dust and the like occur, visibility is low, and even if the natural light illumination is large, the street lights need to be turned on. When the natural light illumination is lower than the set value of the urban roads in the target area, it is obviously necessary to turn on the street lights immediately, even if the street lights are not working. Therefore, the above process realizes the dynamic turning on of street lighting according to real-time environmental information and stage weather information, thereby adapting to the actual lighting needs of smart cities. BRIEF DESCRIPTION OF THE DRAWINGS

[0050] The present invention will be further described below in conjunction with the accompanying drawings.

[0051] Figure 1 It is a system structure diagram of the present invention. DETAILED DESCRIPTION

[0052] 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.

[0053] See also Figure 1 As shown, the present invention is a smart city management system, characterized in that it includes:

[0054] An information acquisition module, including a real-time information acquisition unit and a stage information acquisition unit;

[0055] A real-time information acquisition unit, used to collect real-time environmental information of the target area;

[0056] The stage information acquisition unit is used to collect the stage weather information of the target area according to the preset time interval;

[0057] An information processing module, used for receiving the real-time environmental information and stage weather information collected by the information collection unit in real time, and obtaining the first lighting demand degree 1 and the second lighting demand degree after processing according to the processing rule 1 and the processing rule 2 respectively;

[0058] An information analysis module, used to analyze the first lighting demand degree and the second lighting demand degree, and determine whether to adjust the preset lighting control strategy according to the analysis result;

[0059] The lighting control module executes according to the adjusted lighting control strategy if the lighting control strategy is adjusted, otherwise it executes according to the predetermined lighting control strategy.

[0060] The process of obtaining the first lighting demand degree according to the processing rule 1 includes:

[0061] Obtain the natural light intensity of the target area through the light intensity sensor ;

[0062] The video information obtained by the camera is processed by the image processing module to obtain the flow of people and traffic flow The image processing module uses existing image processing technology to realize the data of pedestrian flow and vehicle flow, which will not be elaborated here;

[0063] The natural light intensity , Traffic and traffic flow Substituting into the formula:

[0064]

[0065] Calculate the first lighting requirement of the current target area ;

[0066] in, is the number of roads in the target area, is the length of each road, is the width of each road, is the number of street lights on each road, is the judgment function about natural light intensity, is the road busyness index, , , is a preset proportionality factor, selected and determined based on historical experimental data. The larger the value is, the greater the lighting demand of the target area is. The larger the value of The correlation model is established by the number of roads, road detoxification, road width, and number of street lights to achieve the purpose of accurately evaluating the busyness of the road. Obviously, the number of each road The larger the value, the higher the density of street lamp coverage on each road. The larger it is, the greater the flow of people and vehicles, and therefore the busier the road. If the density of street lamp coverage is lower and the flow of people and vehicles is greater, it means that the road is busier and needs more timely lighting.

[0067] In this embodiment, a method for determining whether a set lighting control strategy needs to be adjusted is provided, and a method for obtaining a first lighting demand degree is provided. Specifically, the real-time environmental information of the target area is first collected by the real-time information acquisition unit in the information acquisition module, and then the stage information acquisition unit collects the stage weather information of the target area at a preset time interval, and then the information processing module processes the first lighting demand degree and the second lighting demand degree respectively according to the processing rule one and the processing rule two; then the information analysis module comprehensively analyzes the first lighting demand degree and the second lighting demand degree, and determines whether to adjust the preset lighting control strategy according to the analysis result; finally, if the lighting control strategy is adjusted, then Execute according to the adjusted lighting control strategy, otherwise execute according to the predetermined lighting control strategy; through the above technical scheme, the actual demand for street lighting is comprehensively analyzed and judged using real-time environmental information and stage weather information. Obviously, when haze, heavy fog, heavy snow, dust and other conditions occur, visibility is low, even if the natural light illumination is large, the street lights need to be turned on. When the natural light illumination is lower than the set value of the urban roads in the target area, it is obviously necessary to turn on the street lights immediately, even if it is in the non-working period of the street lights. Therefore, the above process realizes the dynamic opening of street lighting according to real-time environmental information and stage weather information, thereby adapting to the actual lighting needs of smart cities.

[0068] Get the judgment function about natural light illumination The method is:

[0069] The natural light intensity and preset light thresholds Substitute the following formula:

[0070] Get the judgment function about natural light intensity ;

[0071] in, is the conversion coefficient, which is determined based on experimental data and historical data. is the risk factor.

[0072] In this embodiment, according to the natural light intensity and preset light thresholds The judgment function of natural light intensity is obtained by comparing the ,when hour, ,otherwise, ; Then obtain the risk factor The process is: first obtain the natural light intensity Equal to the preset light threshold and marked as the first time point , get the interval The second time point after ; Then get the first time point To the second time point Natural light intensity between Curves of change over time ; then With light threshold The straight lines formed are drawn together in the same rectangular coordinate system, where time is the horizontal axis and natural light illumination is the vertical axis; finally, With straight line The number of intersections, if the number of intersections ≥ 2, then ,otherwise,

[0073] ,in, It is a reference curve of natural light intensity changing over time based on historical data.

[0074] Through the above technical solution, it is possible to directly With straight line The current lighting risk level can be determined by the situation. For example, if the light should be turned on theoretically, but at the first time To the second time point The natural light intensity between the , it indicates that the strategy of turning on the lights is correct in theory. Otherwise, if the natural light intensity is in the later stage The above indicates that the natural light intensity is temporarily reduced, for example, due to dark clouds, signs of rain, short-term rain or dust from construction sites. Obviously, turning on the lights immediately at this time is risky and is not an actual lighting need.

[0075] The method for obtaining the second lighting demand is:

[0076] Obtain the visibility coefficient of the target area through real-time detection of LiDAR ;

[0077] By formula: Calculate the second lighting requirement ;

[0078] in, is a preset proportionality factor, selected and determined based on historical experimental data. is the total number of random detections per unit time, For the The reference coefficient of the test is selected based on empirical data and experimental data. is the preset visibility threshold, is the exponential coefficient.

[0079] The exponential coefficient The method to obtain is:

[0080] By formula: Calculate the exponential coefficient ;

[0081] in, is the number of sub-periods divided into a unit period, For the The weight coefficient corresponding to each posture segment is is the reference value.

[0082] In this embodiment, a method for obtaining a second lighting requirement is provided. Specifically, the visibility coefficient of the target area is obtained by real-time detection by a laser radar. , and then through the formula Calculate the second lighting requirement Obviously, it can be seen that if The larger the value is, the lower the actual visibility is, so the greater the need for lighting is. By accumulating and averaging, we can see the volatility of the visibility of the target area within a unit time. The greater the volatility, the greater the change in the factors affecting visibility. Otherwise, the smaller the change in the factors affecting visibility is, so more lighting is needed. Calculate the exponential coefficient , through the phased dynamic update of the exponential coefficient, it is possible to The stability of the deviation determines the degree of influence on the second lighting demand. The larger the value is, the greater the impact on the second lighting demand degree is, and therefore the more lighting is needed.

[0083] The working process of the information analysis module is as follows:

[0084] The first lighting requirement and the second lighting demand Substitute the following formula: Calculate lighting control indicators ;

[0085] According to the preset working hours and non-working hours of street lights in the target area, the lighting control indicators are Adjust thresholds with preset lighting control strategies Comparison, and judging whether the preset lighting control strategy needs to be adjusted according to the comparison result;

[0086] like , then it is determined that the preset lighting control strategy needs to be adjusted;

[0087] Otherwise, it is determined that there is no need to adjust the preset lighting control strategy;

[0088] in, , It is a preset conversion coefficient, which is selected based on historical data and experimental data.

[0089] In this embodiment, the formula Calculate lighting control indicators , in order to achieve the purpose of integrating the first lighting demand degree and the second lighting demand degree, and further achieve the purpose of comprehensively judging the actual lighting demand of the target area.

[0090] The process of adjusting the lighting control strategy is as follows:

[0091] If the street lights in the target area are not working, , then the street lights in the current target area are turned on immediately, otherwise, the street lights are turned on after the working hours arrive;

[0092] If it is within the working hours of the street lights in the target area, , then control the street lights in the current target area to reduce their brightness, otherwise, wait until the non-working hours to turn off the street lights.

[0093] Through the above technical scheme, it is possible to control the brightness of street lamps according to real-time changes in lighting control indicators during the working hours of street lamps, and then control the turning on of street lamps according to real-time changes in lighting control indicators during non-working hours of street lamps, thereby preventing safety hazards caused by low visibility due to weather factors and the failure of street lamps to work.

[0094] It should be noted that the calculation formulas and various parameters involved in the calculation in the present invention have been dimensionally processed in advance and are pure numerical calculations. The process of dimensionless processing is well known in the industry and will not be described here.

[0095] The above is a detailed description of an embodiment of the present invention, but the content is only a preferred embodiment of the present invention and cannot be considered to limit the scope of implementation of the present invention. All equivalent changes and improvements made within the scope of the present invention should still fall within the scope of the patent coverage of the present invention.

Claims

1. A smart city management system, characterized in that: include: An information acquisition module, including a real-time information acquisition unit and a stage information acquisition unit; A real-time information acquisition unit, used to collect real-time environmental information of the target area; The stage information acquisition unit is used to collect the stage weather information of the target area according to the preset time interval; An information processing module, used for receiving the real-time environmental information and stage weather information collected by the information collection unit in real time, and processing them according to processing rule 1 and processing rule 2 respectively to obtain the first lighting demand degree 1 and the second lighting demand degree; An information analysis module, used to analyze the first lighting demand degree and the second lighting demand degree, and determine whether to adjust the preset lighting control strategy according to the analysis result; The lighting control module executes the lighting control strategy according to the adjusted lighting control strategy if the lighting control strategy is adjusted, otherwise executes the lighting control strategy according to the predetermined lighting control strategy; The process of obtaining the first lighting demand degree according to the processing rule 1 includes: Obtain the natural light intensity of the target area through the light intensity sensor ; The video information obtained by the camera is processed by the image processing module to obtain the flow of people and traffic flow ; The natural light intensity , Traffic and traffic flow Substituting into the formula: Calculate the first lighting requirement of the current target area ; in, is the number of roads in the target area, is the length of each road, is the width of each road, is the number of street lights on each road, is the judgment function about natural light intensity, is the road busyness index, , , is the preset proportional coefficient; Get the judgment function about natural light illumination The method is: The natural light intensity and preset light thresholds Substitute the following formula: Get the judgment function about natural light intensity ; in, is the conversion coefficient, is the risk factor; Obtain the risk factor The process is: Get natural light Equal to the preset light threshold and marked as the first time point , get the interval The second time point after ; Get the first time point To the second time point Natural light intensity between Curves of change over time ; Will With light threshold The formed straight lines are drawn together in the same rectangular coordinate system, wherein the rectangular coordinate system has time as the horizontal axis and natural light illumination as the vertical axis; Get With straight line The number of intersections, if the number of intersections ≥ 2, then ,otherwise, in, Reference curve of natural light intensity changing over time based on historical data; The method for obtaining the second lighting demand is: Obtain the visibility coefficient of the target area through real-time detection of LiDAR ; By formula: Calculate the second lighting requirement ; in, is the preset scale factor, is the total number of random detections per unit time, For the The reference coefficient of the second test, is the preset visibility threshold, is the exponential coefficient.

2. The smart city management system according to claim 1, characterized in that: The exponential coefficient The method to obtain is: By formula: Calculate the exponential coefficient ; in, is the number of sub-periods divided into a unit period, For the The weight coefficient corresponding to each posture segment is is the reference value.

3. The smart city management system according to claim 1, characterized in that: The working process of the information analysis module is as follows: The first lighting requirement and the second lighting demand Substitute the following formula: Calculate lighting control indicators ; According to the preset working hours and non-working hours of street lights in the target area, the lighting control indicators are Adjust thresholds with preset lighting control strategies Comparison, and judging whether the preset lighting control strategy needs to be adjusted according to the comparison result; like , then it is determined that the preset lighting control strategy needs to be adjusted; Otherwise, it is determined that there is no need to adjust the preset lighting control strategy; in, , is the preset conversion factor.

4. The smart city management system according to claim 3, characterized in that: The process of adjusting the lighting control strategy is as follows: If the street lights in the target area are not working, , then the street lights in the current target area are turned on immediately, otherwise, the street lights are turned on after the working hours arrive; If it is within the working hours of the street lights in the target area, , then control the street lights in the current target area to reduce their brightness, otherwise, wait until the non-working hours to turn off the street lights.

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