LED solar pile security system based on network interconnection remote control warning voice switching

Abstract

The invention, which relates to the technical field of the road traffic safety facilities, discloses an LED solar pile security system based on network interconnection remote control switching of warning voice, comprising an intelligent environment sensing module, a data analysis module and an intelligent control module. The intelligent environment sensing module collects environment parameter data, processes the collected data and uploads the processed data to the data analysis module; the data analysis module receives the processed data, judges a working mode in real time, predicts a people flow peak and environment change, and provides mode switching suggestions and parameter optimization schemes for the system; and the intelligent control module automatically adjusts the LED brightness according to the environment illumination and the people flow density, switches working modes according to the environment and people flow conditions, and realizes the intelligent operation of the system through multi-pile cooperation and regional linkage. According to real-time data such as illumination intensity, visibility and people flow density, the brightness and the flicker mode of the LED can be automatically adjusted, and the optimal warning effect can be provided in different scenes.

Description

Technical Field

[0001] The invention relates to the technical field of road traffic safety facilities, in particular to an LED solar pile security system based on network interconnection and remote control switching of warning voices. Background Art

[0002] With the acceleration of urbanization and the continuous growth of traffic volume, the importance of road traffic safety facilities has become increasingly prominent. As an important road safety warning device, warning posts have undergone a technological evolution from simple reflective materials to active luminescence. Currently, the warning post products on the market are mainly divided into two categories: traditional reflective warning posts and solar LED warning posts. Traditional reflective warning posts rely on reflective materials to achieve passive warnings, and the warning effect is limited in insufficient light or bad weather conditions. Although solar LED warning posts have added active luminescence functions, they generally adopt a preset fixed working mode and lack environmental adaptability.

[0003] Existing warning pile products have many problems in practical applications: simple control strategies that cannot be adjusted dynamically according to actual road conditions; lack of real-time perception and analysis capabilities of environmental and human flow information; low energy management efficiency; and lack of coordination mechanisms between multiple piles. These problems result in less than ideal warning effects and make it difficult to meet safety warning needs in bad weather and complex road conditions. With the development of smart transportation, the market demand for warning equipment with intelligent perception and adaptive control capabilities is growing, which puts higher requirements on the technological innovation of warning pile products. Summary of the invention

[0004] In view of the problems existing in the existing LED solar pile security system based on network interconnection remote control switching warning voice, the present invention is proposed.

[0005] Therefore, the problem to be solved by the present invention is how to enable the warning post system to intelligently perceive environmental changes and dynamically adjust the warning strategy, so as to provide the best warning effect under different weather conditions and traffic conditions.

[0006] In order to solve the above technical problems, the present invention provides the following technical solutions:

[0007] In the first aspect, an embodiment of the present invention provides an LED solar pile security system based on network interconnection remote control switching warning voice, which includes an intelligent environment perception module, a data analysis module and an intelligent control module; the intelligent environment perception module collects environmental parameter data, processes the collected data, increases the seasonal adjustment coefficient considering seasonal changes, uploads the processed data to the data analysis module, and monitors the working status of the sensor in real time; the data analysis module receives the processed data, judges the working mode in real time, predicts peak traffic and environmental changes, and provides mode switching suggestions and parameter optimization solutions for the system; the intelligent control module is used to automatically adjust the LED brightness according to the ambient light and traffic density, switch the working mode according to the environment and traffic conditions, and realize the intelligent operation of the system through multi-pile collaboration and regional linkage.

[0008] As a preferred solution of the LED solar pile security system with remote control switching of warning voice based on network interconnection described in the present invention, wherein: the intelligent environment perception module includes a light intensity perception submodule, a crowd density detection submodule and a weather condition recognition submodule; the light intensity perception submodule monitors the ambient light intensity in real time, automatically adjusts the LED display brightness, and optimizes the solar charging efficiency; the crowd density detection submodule monitors the activities of surrounding personnel, evaluates the degree of congestion in the area, adjusts the LED warning light response strategy, and provides safety warning information; the weather condition recognition submodule identifies the current weather type, predicts short-term weather changes, and adjusts system operating parameters.

[0009] As a preferred solution of the LED solar pile security system based on network interconnection remote control switching warning voice of the present invention, wherein: the light intensity data monitored by the light intensity sensing submodule is smoothed and expressed as:

[0010] Ls=(L1+L2+...+Ln) / n

[0011] Among them, Ls represents the smoothed light intensity value, Li represents the i-th sampling value, and n represents the number of sampling times; when the daytime period transitions to the nighttime period through the dawn and dusk period, or the nighttime period transitions to the daytime period through the dawn and dusk period, a weighted smoothing algorithm is used, which is expressed as:

[0012] Ls=(w1×L1+w2×L2+...+w n ×Ln) / (w1+w2+...+w n )

[0013] Among them, w i Indicates the weight coefficient. The weight coefficient of the most recent sampling data is the largest. Set the sampling value difference threshold to ΔL th , if the current sampling value L i The sampling value L at the previous momenti-1 The absolute value of the difference, i.e., |L i -L i-1 | > ΔL th , it is determined that a mutation has occurred; when a mutation occurs, three consecutive samplings are immediately performed to calculate the confirmation value:

[0014] Lc = (L f1 + L f2 + L f3 ) / 3

[0015] where Lc represents the mutation confirmation value, and L f1 , L f2 , L f3 are the quick confirmation sampling values; if |Lc - L i-1 | ≤ ΔL th , it is determined as an instantaneous mutation, and the original smoothing value is maintained, ignoring the mutation point; if ΔL th <|Lc - L i-1 | ≤ 2×ΔL th , it is determined as a gradual mutation, and linear interpolation smoothing processing is adopted, expressed as:

[0016] Ls new = L i-1 + (Lc - L i-1 ) × t / T

[0017] where t is the transition time point and T is the total transition time; if |Lc - L i-1 | ≥ 2×ΔL th , it is determined as a severe mutation, and exponential smoothing processing is adopted, expressed as:

[0018] Ls new = L i-1 + (Lc - L i-1 ) × (1 - e -3t / T )

[0019] Based on the smoothed light data, the light level is determined, and the first threshold and the second threshold are set. If Ls < the first threshold, it is preliminarily determined as weak light; if the first threshold < Ls < the second threshold, it is preliminarily determined as normal light; if the second threshold < Ls, it is preliminarily determined as strong light.

[0020] As a preferred solution of the LED solar pile security system based on network - interconnected remote - controlled switching of warning voices of the present invention, where: the seasonal adjustment coefficient α is expressed as:

[0021]

[0022] Among them, α is the seasonal adjustment coefficient, S is the ratio of the actual sunshine hours to the theoretical sunshine hours, A is the current solar altitude angle, A0 is the solar altitude angle at noon on the vernal equinox, Y is the cumulative sunlight on the day, Y0 is the cumulative sunlight on the vernal equinox, is the light sensitivity coefficient, L is the current light intensity, and L0 is the standard light intensity. The brightness of the LED warning light is adjusted according to the current light intensity. Considering the influence of different seasons, the calculation formula of the brightness of the LED warning light is:

[0023] B=B0·[(L / L0) n ·exp(-k|L-L0|)+C]·β

[0024] Among them, B is the actual output brightness of the LED, B0 is the reference brightness of the LED, L is the current ambient light intensity, L0 is the standard light intensity, n is the light response index, k is the environmental adaptation coefficient, C is the minimum brightness maintenance coefficient, β is the seasonal adjustment coefficient; the correlation between the seasonal adjustment coefficient β and the seasonal adjustment coefficient α is expressed as:

[0025] β=f(α,L,V)=[(1+α)·(L / L0)] m exp(-k|U-U0|)

[0026] Among them, U is the current visibility value, U0 is the standard reference visibility value, k is the environmental adaptation coefficient, and m is the lighting impact index.

[0027] As a preferred solution of the LED solar pile security system based on network interconnection remote control switching warning voice described in the present invention, wherein: the crowd density detection submodule detects the crowd density in the surrounding area through an infrared sensor array, converts the detected crowd density value into a voice broadcast volume adjustment parameter, arranges the infrared sensors in a matrix, and there is a 20% overlap rate between adjacent sensors, collects crowd density data, calculates the basic crowd density by calculating the number of people in the detection area at a fixed time, sets the crowd density interval, and the density corresponding coefficients in different intervals are different, and constructs a functional relationship between crowd density and volume adjustment, which is expressed as:

[0028] Va=K×[1+log 10 (D+1)]

[0029] V=Vb×Va

[0030] Among them, Va is the volume adjustment parameter, K is the density corresponding coefficient, D is the crowd density value, V is the real-time volume value, and Vb is the reference volume value; the weather condition identification submodule identifies the current weather type, predicts short-term weather changes, adjusts system operation parameters, comprehensively considers the factors of temperature, humidity and rainfall, and calculates the comprehensive parameters of weather conditions, which are expressed as:

[0031] Wa=W×(1+α×Ka)

[0032] Among them, Wa is the final weather state parameter after considering seasonal factors; W is the basic weather state parameter; α is the seasonal adjustment parameter; Ka is the seasonal influence coefficient; the calculation of the basic weather state parameter W is expressed as:

[0033] W=w1T+w2H+w3R

[0034] Among them, T represents temperature, H represents humidity, R represents rainfall, and w1, w2, and w3 are temperature weight, humidity weight, and rainfall weight, respectively.

[0035] As a preferred solution of the LED solar pile security system based on network interconnection remote control switching warning voice described in the present invention, wherein: the data analysis module obtains the light intensity parameter through the light intensity perception submodule, converts it into a digital signal through the analog-to-digital conversion circuit, and the digital signal is divided into two gears of day mode and night mode after being processed by the controller; wherein the day mode corresponds to the charging working state of the solar panel, and the night mode corresponds to the discharging working state of the battery; the crowd density detection submodule is divided into three levels of sparse, normal and dense according to the number of people in the unit area, and each level corresponds to a preset warning response level; the weather condition recognition submodule is divided into three gears according to sunny, cloudy, rainy, snowy and foggy, and each gear corresponds to a different LED light group brightness and voice prompt frequency; at this time, the night mode and day mode are only determined by the light intensity. If it is daytime, but the light intensity is insufficient, it may be determined as night mode, and then further determined in combination with the weather conditions, the formula is expressed as:

[0036] L = [∫I(t)·e-ktdt / I 0 ]·w

[0037] Among them, L is the comprehensive determination coefficient of the lighting environment, I(t) is the real-time lighting intensity function, k is the time attenuation coefficient, t is the real-time sampling time, I0 is the standard lighting intensity reference value, and W is the basic weather state parameter; further, the real-time lighting intensity function I(t) is expressed as:

[0038] I(t)=Is(t)·C(t)

[0039]

[0040] C(t)=exp(-d·cosθ)·[1-ε·(T-T0) / T0]

[0041] Among them, I(t) is the processed real-time light intensity function, Is(t) is the sensor acquisition function, Ls(t) is the light intensity value of the i-th light sensor after smoothing, n is the number of sensors, C(t) is the calibration correction function, d is the incident angle attenuation coefficient, θ is the light incident angle, ε is the temperature influence coefficient, T is the current ambient temperature, and T0 is the standard temperature value.

[0042] As a preferred solution of the LED solar pile security system based on network interconnection remote control switching warning voice of the present invention, wherein: based on the crowd density detection submodule, crowd density data is collected, and a dynamic change model of crowd density is established to calculate the crowd density value, which is expressed as:

[0043]

[0044] Where D is the density of human traffic, P i is the real-time flow count of the i-th detection area, n is the number of detection areas, λ is the spatial attenuation coefficient, H is the width of the monitoring area, G is the reference calibration coefficient, R is the environmental impact factor, I0 is the current light intensity, I s is the standard illumination threshold, μ is the visibility influence coefficient, and U is the current visibility value.

[0045] As a preferred solution of the LED solar pile security system based on network interconnection remote control switching warning voice described in the present invention, wherein: the intelligent control module imports relevant parameters, calibrates each sensor, performs multi-point sampling comparison calibration, continuously collects light intensity data Li(t), calculates the light intensity Ls(t) after smoothing, collects temperature T, humidity H, and rainfall R data, calculates the weather condition function, and obtains the final light environment determination coefficient L; if the light environment determination coefficient is night mode, and the crowd density information is dense level, it switches to high-frequency voice broadcast mode, and the LED light group flashes synchronously in the high-frequency voice broadcast mode; if the weather condition data is rain, snow, fog, etc., the voice broadcast volume is adjusted to the maximum value, and the volume gain is achieved through the digital power amplifier circuit. At the same time, the voice broadcast interval is shortened, and the LED light group is switched to high-brightness flashing mode; if the light environment determination coefficient is day mode, the crowd density information is sparse level, and the weather condition data is clear gear, It switches to low-power voice mode, in which the broadcast interval is extended, the voice broadcast volume is reduced, and the LED light group remains on at a low brightness; if the crowd density information of the adjacent warning post is a dense level, the voice mode parameters of the adjacent warning post are received through the wireless communication module, and the voice mode that is the same as the adjacent warning post is automatically switched, including the broadcast interval, volume and LED light group display mode, to form a regional linkage warning network; if the crowd density information is a dense level that continues to exceed the preset time, it switches to the continuous broadcast mode, in which the voice prompt interval is shortened, the voice broadcast volume is adjusted to the maximum value, and an emergency warning signal is sent to the adjacent warning post through the wireless communication module; if the lighting environment determination coefficient is a night mode, the crowd density information is a dense level, and the weather condition data is rain, snow and fog, it switches to the enhanced voice mode, the volume remains at the maximum value, the LED light group flashes at high frequency at the maximum brightness, and a linkage signal is sent to the surrounding warning posts.

[0046] In a second aspect, an embodiment of the present invention provides a computer device, including a memory and a processor, wherein the memory stores a computer program, wherein: when the processor executes the computer program, any step of the above-mentioned LED solar pile security system based on network interconnection remote control switching warning voice is implemented.

[0047] In a third aspect, an embodiment of the present invention provides a computer-readable storage medium having a computer program stored thereon, wherein: when the computer program is executed by a processor, any step of the above-mentioned LED solar pile security system based on network interconnection remote control switching warning voice is implemented.

[0048] The beneficial effect of the present invention is that the present invention realizes the intelligent perception and dynamic response of the warning pile system to the environment and traffic conditions through the coordinated work of the three modules of environmental perception, data analysis and intelligent control. The brightness and flashing mode of the LED can be automatically adjusted according to real-time data such as light intensity, visibility and crowd density, and the optimal warning effect can be provided in different scenes. The multi-pile coordination and regional linkage functions are realized, and an overall solution is provided. It provides a more reliable technical guarantee for road traffic safety. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for describing the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work. Among them:

[0050] Figure 1 This is a flow chart of the LED solar pile security system that switches warning voices remotely based on network interconnection. DETAILED DESCRIPTION

[0051] In order to make the above-mentioned purposes, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the drawings of the specification. Obviously, the described embodiments are part of the embodiments of the present invention, but not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary persons in the art without creative work should fall within the scope of protection of the present invention.

[0052] In the following description, many specific details are set forth to facilitate a full understanding of the present invention, but the present invention may also be implemented in other ways different from those described herein, and those skilled in the art may make similar generalizations without violating the connotation of the present invention. Therefore, the present invention is not limited to the specific embodiments disclosed below.

[0053] Secondly, the term "one embodiment" or "embodiment" as used herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The term "in one embodiment" that appears in different places in this specification does not necessarily refer to the same embodiment, nor does it refer to a separate or selective embodiment that is mutually exclusive with other embodiments.

[0054] Example 1

[0055] Reference Figure 1 , which is the first embodiment of the present invention, and provides an LED solar pile security system based on network interconnection remote control switching warning voice, including:

[0056] S1: Intelligent environmental perception module, collects environmental parameter data, processes the collected data, adds seasonal adjustment coefficient considering seasonal changes, uploads the processed data to the data analysis module, and monitors the working status of the sensor in real time.

[0057] The intelligent environment perception module includes: light intensity perception submodule, crowd density detection submodule and weather condition recognition submodule.

[0058] The light intensity sensing submodule uses a high-precision photosensor to monitor the ambient light intensity in real time, sets a fixed time to collect light intensity data, and is used to monitor changes in ambient light intensity in real time, automatically adjust the LED display brightness, optimize solar charging efficiency, and assist in judging weather conditions.

[0059] It should be noted that the lighting time of a day is divided into three parts, namely, daytime, dawn and dusk, and nighttime. The sampling frequencies of the three times are different and need to be set separately.

[0060] The collected light intensity data is smoothed and expressed as:

[0061] Ls=(L1+L2+...+Ln) / n

[0062] Among them, Ls represents the smoothed light intensity value, Li represents the i-th sampling value, and n represents the number of sampling times.

[0063] When the daytime period transitions to the nighttime period through the dawn and dusk period, or when the nighttime period transitions to the daytime period through the dawn and dusk period, a weighted smoothing algorithm is used, which is expressed as:

[0064] Ls=(w1×L1+w2×L2+...+w n ×Ln) / (w1+w2+...+w n )

[0065] Among them, w i Represents the weight coefficient, and the weight coefficient of the most recent sampling data is the largest.

[0066] Set the sampling value difference threshold to ΔL th , if the current sampling value L i The sampling value L at the previous moment i-1 The absolute value of the difference, i.e. |L i -L i-1 |>ΔL th , then it is determined that a mutation occurs.

[0067] When a mutation occurs, three consecutive samples are taken immediately to calculate the confirmation value:

[0068] Lc=(L f1 +Lf2 +L f3 ) / 3

[0069] Among them, Lc represents the mutation confirmation value, and L f1 , L f2 , L f3 are the quickly confirmed sampling values.

[0070] If |Lc - L i-1 | ≤ ΔL th , it is determined as an instantaneous mutation, and the original smoothed value is maintained, ignoring the mutation point;

[0071] If ΔL th <|Lc - L i-1 | ≤ 2×ΔL th , it is determined as a gradual mutation, and linear interpolation smoothing processing is adopted, expressed as:

[0072] Ls new = L i-1 +(Lc - L i-1 )×t / T

[0073] Among them, t is the transition time point, and T is the total transition time.

[0074] If |Lc - L i-1 | ≥ 2×ΔL th , it is determined as a severe mutation, and exponential smoothing processing is adopted, expressed as:

[0075] Ls new = L i-1 +(Lc - L i-1 )×(1 - e -3t / T )

[0076] Based on the smoothed light data, the light level is determined, and the first threshold and the second threshold are set. If Ls < the first threshold, it is preliminarily determined as weak light; if the first threshold < Ls < the second threshold, it is preliminarily determined as normal light; if the second threshold < Ls, it is preliminarily determined as strong light.

[0077] For different seasons, an adjustment coefficient α is set, expressed as:

[0078]

[0079] Among them, α is the seasonal adjustment coefficient, S is the ratio of the actual sunshine hours of the day to the theoretical sunshine hours, A is the current solar altitude angle, A0 is the solar altitude angle at noon on the spring equinox, Y is the cumulative light amount of the day, and Y0 is the cumulative light amount on the spring equinox. is the light sensitivity coefficient, L is the current light intensity, and L0 is the standard light intensity.

[0080] Combined with historical data, the value range of α is determined to be [-0.25, 0.3]. Negative values ​​indicate a lower light threshold, while positive values ​​indicate an increase in the light threshold. The adjustment range in summer (0.3) is greater than that in winter (-0.25).

[0081] The winter adjustment interval is determined to be [-0.25, -0.15], which represents a maximum reduction threshold of 25%, adapted to the shortest sunshine time before and after the winter solstice, corresponding to the period of minimum solar altitude angle, and dealing with the situation where light intensity is significantly reduced in winter.

[0082] The autumn-winter transition interval is [-0.15, -0.05], covering the gradual transition from autumn to winter, adapting to the gradual shortening of daylight hours, and dealing with the gradual weakening of light intensity.

[0083] The spring reference interval is [-0.05, 0.05], with the standard period centered on the vernal equinox corresponding to the period when the light conditions are closest to the standard values.

[0084] The spring-summer transition interval is [0.05, 0.15], covering the transition period from spring to summer, adapting to the process of longer sunshine hours, and dealing with the gradual increase in light intensity.

[0085] The midsummer adjustment range is [0.15, 0.3], which corresponds to the longest sunshine time around the summer solstice, adapts to the period with the maximum solar altitude angle, and handles the extreme conditions of strong light in summer.

[0086] The brightness of the LED warning light is adjusted according to the current light intensity. It should be noted that the current light intensity is the smoothed light intensity, so the influence of different seasons needs to be considered. The calculation formula of the brightness of the LED warning light is:

[0087] B=B0·[(L / L0) n ·exp(-k|L-L0|)+C]·β

[0088] Among them, B is the actual output brightness of the LED, B0 is the reference brightness of the LED, L is the current ambient light intensity, L0 is the standard light intensity, n is the light response index, k is the environmental adaptation coefficient, C is the minimum brightness maintenance coefficient, and β is the seasonal adjustment coefficient.

[0089] Note that the seasonal adjustment coefficient β is different from the seasonal adjustment coefficient α of light intensity. The range of α is [-0.25, 0.3], and the range of β is [0.3, 2.0]. The relationship between the two is expressed as:

[0090] β=f(α,L,V)=[(1+α)·(L / L0)] m exp(-k|U-U0|)

[0091] Among them, U is the current visibility value and U0 is the standard reference visibility value.

[0092] In winter, α approaches -0.25, and β is biased toward the maximum value to compensate for the low light environment;

[0093] In spring and autumn, α is close to 0, and β is maintained in the standard range. The change of β mainly depends on the real-time light intensity.

[0094] In summer, α approaches 0.30, and β tends to the minimum value to avoid being too bright.

[0095] The crowd density detection submodule monitors the activities of surrounding personnel, evaluates the degree of congestion in the area, adjusts the response strategy of the LED warning light, and provides safety warning information.

[0096] The crowd density in the surrounding area is detected by an infrared sensor array, and the detected crowd density value is converted into a voice broadcast volume adjustment parameter. The infrared sensors are arranged in a matrix, and there is a 20% overlap rate between adjacent sensors. The crowd density data is collected, and the basic crowd density is calculated by calculating the number of people in the detection area at a fixed time. The crowd density interval is set, and the density corresponding coefficients in different intervals are different. The functional relationship between crowd density and volume adjustment is constructed, which is expressed as:

[0097] Va=K×[1+log 10 (D+1)]

[0098] V=Vb×Va

[0099] Among them, Va is the volume adjustment parameter, K is the density corresponding coefficient, D is the crowd density value, V is the real-time volume value, and Vb is the reference volume value.

[0100] The weather condition identification submodule identifies the current weather type, predicts short-term weather changes, and adjusts system operating parameters. The weather condition considers three factors, namely temperature, humidity, and rainfall. Taking all factors into consideration, the comprehensive parameters of the weather state are calculated, which are expressed as:

[0101] Wa=W×(1+α×Ka)

[0102] Among them, Wa is the final weather state parameter after considering seasonal factors, which reflects the impact of actual weather on the system; W is the basic weather state parameter, which indicates the basic weather conditions; α is the seasonal adjustment parameter, ranging from [-0.25, 0.3], reflecting seasonal characteristics; Ka is the seasonal influence coefficient.

[0103] Furthermore, the calculation of the basic weather state parameter W is expressed as:

[0104] W=w1T+w2H+w3R

[0105] Among them, T represents temperature, H represents humidity, R represents rainfall, and w1, w2, and w3 are temperature weight, humidity weight, and rainfall weight, respectively.

[0106] Different regions have different climate conditions, and the weight w i , i=1,2,3 have different values. The temperature weight of the temperate climate zone is set to w1=0.4×(1+α×0.2). The temperature change in the temperate zone is moderate and the weight is moderate. The humidity weight is set to w2=0.3×(1+α×0.1). The humidity influence is second and the seasonal influence is small. The precipitation weight is set to w3=0.3×(1+α×0.1). The precipitation influence is balanced and slightly adjusted with the season.

[0107] The solar power supply management is controlled based on the weather status parameters after considering seasonal factors, and the charging threshold is set. When the weather conditions are good, that is, the weather status parameters are greater than the charging threshold, the optimized charging mode is entered to increase the energy storage capacity and extend the charging time; if the weather conditions deteriorate, that is, the weather status parameters are less than the charging threshold, the conservative charging mode is entered to reduce the charging power and optimize energy distribution.

[0108] At the same time, the LED display brightness is adjusted based on the weather status parameters after considering seasonal factors. When the Wa value increases, the basic brightness is reduced, the contrast is increased, and the power consumption ratio is optimized; when the Wa value decreases, the display brightness is increased, the warning effect is enhanced, and visibility is ensured.

[0109] S2: Data analysis module, which receives processed data, determines the working mode in real time, predicts peak flow of people and environmental changes, and provides mode switching suggestions and parameter optimization solutions for the system.

[0110] Through the light intensity sensing submodule, the light intensity parameters are obtained and converted into digital signals through the analog-to-digital conversion circuit. After being processed by the controller, the digital signals are divided into two gears: day mode and night mode. Since the working states are mainly divided into solar panel charging and battery discharging, although the light intensity during the dawn and dusk periods is between the two, it still belongs to one of the two working states from the perspective of power supply management. Adding the dawn and dusk mode will cause frequent switching of the power supply state and affect the stability of the system. Therefore, it is only divided into two gears: day mode and night mode.

[0111] The day mode corresponds to the solar panel charging working state, and the night mode corresponds to the battery discharging working state.

[0112] The crowd density detection submodule divides the number of people per unit area into three levels: sparse, normal, and dense. Each level corresponds to a preset warning response level.

[0113] The weather condition recognition submodule is divided into three gears according to sunny, cloudy, rainy, snowy and foggy. Each gear corresponds to a different LED light group brightness and voice prompt frequency.

[0114] It should be noted that the night mode and day mode are determined only by the light intensity. If it is daytime but the light intensity is insufficient, it may be determined as night mode. The weather conditions are further combined to determine the formula:

[0115] L = [∫I(t)·e -kt dt / I0]·W

[0116] Among them, L is the comprehensive determination coefficient of the lighting environment, I(t) is the real-time light intensity function, k is the time attenuation coefficient, t is the real-time sampling time, I0 is the standard light intensity reference value, and W is the basic weather state parameter.

[0117] Furthermore, the real-time illumination intensity function I(t) is expressed as:

[0118] I(t)=Is(t)·C(t)

[0119]

[0120] C(t)=exp(-d·cosθ)·[1-ε·(T-T0) / T0]

[0121] Among them, I(t) is the processed real-time light intensity function, Is(t) is the sensor acquisition function, Ls(t) is the light intensity value of the i-th light sensor after smoothing, n is the number of sensors, C(t) is the calibration correction function, d is the incident angle attenuation coefficient, θ is the light incident angle, ε is the temperature influence coefficient, T is the current ambient temperature, and T0 is the standard temperature value.

[0122] Through the crowd density detection submodule, crowd density data is collected, and a dynamic change model of crowd density is established to calculate the crowd density value, which is expressed as:

[0123]

[0124] Where D is the density of human traffic, P i is the real-time flow count of the i-th detection area, n is the number of detection areas, λ is the spatial attenuation coefficient, H is the width of the monitoring area, G is the reference calibration coefficient, R is the environmental impact factor, I0 is the current light intensity, I s is the standard illumination threshold, μ is the visibility influence coefficient, and U is the current visibility value.

[0125] By introducing the environmental impact factor R and comprehensively evaluating the regulatory effects of light and visibility on the system to quantify environmental conditions, a rapid response to changes in passenger flow and a smooth response to environmental changes are achieved, avoiding drastic fluctuations in system output.

[0126] S3: Intelligent control module, which automatically adjusts the LED brightness according to the ambient light and crowd density, switches the working mode according to the environment and crowd conditions, and realizes the intelligent operation of the system through multi-pile coordination and regional linkage.

[0127] The system automatically detects the working status of the light sensor, temperature sensor, humidity sensor, and rainfall sensor, establishes a communication link with the server, confirms that the data transmission channel is normal, and confirms that there is sufficient data cache space.

[0128] Import relevant parameters, calibrate each sensor, perform multi-point sampling comparison calibration, continuously collect light intensity data Li(t), calculate the smoothed light intensity Ls(t), collect temperature T, humidity H, and rainfall R data, calculate the weather condition function, and obtain the final light environment determination coefficient L.

[0129] If the lighting environment determination coefficient is night mode and the crowd density information is dense level, it switches to high-frequency voice broadcast mode, the broadcast interval of the high-frequency voice broadcast mode is set to 10 seconds / time, and the LED light group flashes synchronously in the high-frequency voice broadcast mode;

[0130] If the weather condition data is rain, snow or fog, the voice broadcast volume is adjusted to the maximum value, and the volume gain is achieved through the digital power amplifier circuit. At the same time, the voice broadcast interval is shortened to 5 seconds / time, and the LED light group is switched to high-brightness flashing mode;

[0131] If the lighting environment determination coefficient is daytime mode, the crowd density information is sparse, and the weather condition data is sunny, it switches to low-power voice mode. In the low-power voice mode, the broadcast interval is extended to 60 seconds / time, the voice broadcast volume is reduced, and the LED light group remains on at a low brightness;

[0132] If the crowd density information of the adjacent warning post is at a dense level, the voice mode parameters of the adjacent warning post are received through the wireless communication module, and the voice mode that is the same as that of the adjacent warning post is automatically switched, including the broadcast interval, volume and LED light group display mode, to form a regional linkage warning network;

[0133] If the crowd density information is dense for more than 3 minutes, it will switch to continuous broadcast mode. In the continuous broadcast mode, the voice prompt interval is shortened to 3 seconds / time, the voice broadcast volume is adjusted to the maximum value, and an emergency warning signal is sent to the adjacent warning posts through the wireless communication module;

[0134] If the weather condition data shows that visibility drops below 50 meters, the voice prompt interval is adaptively adjusted according to the visibility level. The voice prompt interval is shortened by 2 seconds for every 10 meters the visibility decreases, and the brightness of the LED light group is increased by 20% as the visibility decreases until it reaches the maximum brightness;

[0135] If the lighting environment determination coefficient is night mode, the crowd density information is dense level, and the weather condition data is rain, snow, fog, etc., it will switch to enhanced voice mode. In enhanced voice mode, the voice broadcast interval is 3 seconds / time, the volume is kept at the maximum value, the LED light group flashes at high frequency at the maximum brightness, and a linkage signal is sent to the surrounding warning posts at the same time;

[0136] If the solar panel charging voltage is lower than the 12V threshold and the battery voltage is lower than the 11.2V threshold, it switches to the power-saving voice mode, which extends the broadcast interval to 90 seconds / time, reduces the volume to the minimum value, and reduces the LED light group to 30% brightness to ensure continuous operation of the system.

[0137] Furthermore, if extreme weather conditions are detected, or the light intensity is seriously mismatched with the weather conditions, or the environmental parameters change drastically, or a possible sensor occlusion is detected, the manual mode is switched.

[0138] If the mode is switched to manual mode, the state parameters before the switch are recorded, the current working state is locked, the automatic adjustment function is turned off, and the manual control timing is started;

[0139] If the manual mode duration exceeds the set value, a reminder will be issued after 1 hour, confirmation to continue will be required after 4 hours, and a re-evaluation of the mode will be forced after 8 hours.

[0140] To restore automatic mode, check the system status, reinitialize parameters, and smoothly transition to automatic control.

[0141] When entering manual mode, you can set the forced working mode and set the conversion threshold of the lighting environment determination coefficient to 0.65. If you receive a forced night mode command, the L value is locked to 0.30, the automatic lighting determination is turned off, the forced start time is recorded, and the environmental data collection is maintained.

[0142] If the forced mode needs to be released, check the current environmental parameters, calculate the smooth transition time, and gradually restore to automatic judgment.

[0143] If a forced day mode command is received, the L value is locked to 0.70, the automatic light determination is turned off, the forced start time is recorded, and environmental data collection is maintained.

[0144] If the forced mode needs to be released, check the current environmental parameters, calculate the smooth transition time, and gradually restore to automatic judgment.

[0145] It should be noted that after entering manual mode, it is necessary to record the trigger reason and time, set the maximum operating time limit, regularly evaluate whether automatic operation can be restored, and keep detailed operating records.

[0146] When the triggering cause has been eliminated, the system operating parameters are normal, all sensor data are reliable, and it can be switched to automatic mode after confirmation by authorized personnel.

[0147] In summary, the present invention not only takes into account core factors such as physical lighting characteristics, human visual perception and energy efficiency, but also fully weighs the feasibility of system engineering implementation. Through reasonable control margin and dynamic adjustment mechanism, it effectively avoids frequent oscillations of the system near the critical value. At the same time, a complete system maintenance mode and emergency response mechanism are established, which, in conjunction with a strict authority management system, can cope with various abnormal situations and ensure system security. It has significant social benefits and economic value.

[0148] This embodiment also provides a computer device, which is suitable for the LED solar pile security system based on network interconnection remote control switching warning voice, including a memory and a processor; the memory is used to store computer executable instructions, and the processor is used to execute computer executable instructions to realize the LED solar pile security system based on network interconnection remote control switching warning voice as proposed in the above embodiment.

[0149] The computer device may be a terminal, and the computer device includes a processor, a memory, a communication interface, a display screen and an input device connected via a system bus. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The communication interface of the computer device is used to communicate with an external terminal in a wired or wireless manner, and the wireless manner can be achieved through WIFI, an operator network, NFC (near field communication) or other technologies. The display screen of the computer device may be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer device may be a touch layer covering the display screen, or a key, trackball or touchpad provided on the housing of the computer device, or an external keyboard, touchpad or mouse, etc.

[0150] This embodiment also provides a storage medium on which a computer program is stored. When the program is executed by a processor, an LED solar pile security system with remote control switching of warning voice based on network interconnection is implemented as proposed in the above embodiment.

[0151] The storage medium proposed in this embodiment and the data storage method proposed in the above embodiment belong to the same inventive concept. The technical details not fully described in this embodiment can be found in the above embodiment, and this embodiment has the same beneficial effects as the above embodiment.

[0152] Example 2

[0153] This embodiment provides an LED solar pile security system based on network interconnection remote control switching warning voice. In order to verify the beneficial effects of the present invention, scientific demonstration is carried out through simulation experiments.

[0154] A busy T-shaped intersection in the city was selected, with an average daily traffic volume of about 12,000 vehicles and a pedestrian volume of about 8,000 people. The test area was 100 meters long and 6 groups of warning posts were set up with a spacing of 15 meters. The test intersection included the intersection of the main road and the secondary road, with a speed limit of 40km / h.

[0155] Experimental setup:

[0156] Comparison group: standard LED warning pole, 5W power, fixed brightness mode;

[0157] Experimental group: the intelligent LED warning pole of the present invention, with a maximum power of 5W and an adaptive control function;

[0158] Test equipment: illuminance meter, visibility meter, crowd counter, power monitor; the experimental period is 14 days.

[0159] Weather distribution: 6 sunny days, 5 cloudy days, and 3 rainy days.

[0160] Recording frequency: collect data once every hour, and monitor continuously 24 hours a day. Test indicators:

[0161] Warning effect: visual distance, pedestrian avoidance rate;

[0162] System performance: energy consumption, response time, and battery life;

[0163] Environmental adaptability: performance under different weather conditions;

[0164] Intelligent features: early warning accuracy and coordinated response time.

[0165] The experimental results under sunny conditions are shown in Table 1:

[0166] Table 1 Performance comparison and analysis table of sunny day conditions

[0167] Test indicators Traditional LED warning posts Smart LED warning post Performance Improvements Daytime visibility distance (m) 180 200 11.1％ Nighttime visibility distance (m) 150 220 46.7％ Pedestrian avoidance rate (%) 78.5 94.2 20.0％ Average daily power consumption (Wh) 82 58 29.3％

[0168] The experimental results under cloudy conditions are shown in Table 2:

[0169] Table 2 Performance comparison analysis table of cloudy conditions

[0170] Test indicators Traditional LED warning posts Smart LED warning post Performance Improvements Daytime visibility distance (m) 150 190 26.7％ Nighttime visibility distance (m) 140 210 50.0％ Pedestrian avoidance rate (%) 75.8 93.5 23.4％ Average daily power consumption (Wh) 88 65 26.1％

[0171] The experimental results under rainy weather are shown in Table 3:

[0172] Table 3 Comparative analysis of performance in rainy days

[0173]

[0174]

[0175] The analysis of experimental data under different weather conditions shows that the intelligent LED warning post system of the present invention is superior to the traditional LED warning post in all performance indicators. In terms of warning effect, the system's visible distance under sunny, cloudy and rainy conditions is increased by 11.1% to 46.7%, 26.7% to 50.0% and 60.0% to 68.8% respectively, among which the improvement effect is most significant in bad weather; the pedestrian avoidance rate is always maintained above 90%, reaching a maximum of 94.2%, which significantly improves pedestrian safety. In terms of energy efficiency, through intelligent control strategies, the system's average daily power consumption under various weather conditions is reduced by 25.9% to 29.3%.

[0176] The experimental data fully confirms the comprehensive advantages of the present invention in terms of warning effect, energy efficiency, environmental adaptability and intelligence, and especially shows stronger practical value under adverse weather conditions, providing reliable technical support for improving road traffic safety.

[0177] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. The LED solar pile security system based on network interconnection remote control switching warning voice is characterized by: It includes: An intelligent environment perception module, a data analysis module, and an intelligent control module; The intelligent environment perception module collects environmental parameter data, processes the collected data, adds a seasonal adjustment coefficient considering seasonal changes, uploads the processed data to the data analysis module, and monitors the working status of the sensors in real time; The data analysis module receives the processed data, judges the working mode in real time, predicts the peak flow of people and environmental changes, and provides a mode switching suggestion and a parameter optimization scheme for the system; The intelligent control module is used to automatically adjust the LED brightness according to the environmental light and the density of people, switch the working mode according to the environmental and people flow conditions, and realize the intelligent operation of the system through multi-pile cooperation and regional linkage.

2. The LED solar pile security system based on network interconnection remote control switching warning voice as claimed in claim 1, characterized in that: The intelligent environment perception module includes a light intensity perception sub-module, a people flow density detection sub-module, and a weather condition recognition sub-module; The light intensity perception sub-module monitors the environmental light intensity in real time, automatically adjusts the LED display brightness, and optimizes the solar charging efficiency; The people flow density detection sub-module evaluates the degree of regional congestion by monitoring the activities of surrounding people, adjusts the response strategy of the LED warning lights, and provides safety warning information; The weather condition recognition sub-module identifies the current weather type, predicts short-term weather changes, and adjusts the system operation parameters.

3. The LED solar pile security system based on network interconnection remote control switching warning voice as claimed in claim 2, characterized in that: Smoothing processing is performed on the light intensity data monitored by the light intensity perception sub-module, which is expressed as: Ls = (L1 + L2 +... + Ln) / n where Ls represents the smoothed light intensity value, Li represents the i-th sampling value, and n represents the number of samplings; When transitioning from the daytime period through the twilight period to the nighttime period, or from the nighttime period through the twilight period to the daytime period, a weighted smoothing algorithm is adopted, which is expressed as: Ls=(w1×L1+w2×L2+...+w n ×Ln) / (w1+w2+...+w n ) Among them, w i Represents the weight coefficient, and the weight coefficient of the most recent sampling data is the largest; Set the sampling value difference threshold to ΔL th , if the current sampling value L i The sampling value L at the previous moment i-1 The absolute value of the difference, i.e. |L i -L i-1 |>ΔL th , then it is determined that a mutation occurs; When a mutation occurs, three consecutive samplings are immediately performed to calculate the confirmation value: Lc=(L f1 +L f2 +L f3 ) / 3 Among them, Lc represents the mutation confirmation value, L f1 ,L f2 ,L f3 To quickly confirm the sampling value; If |Lc-L i-1 |≤ΔL th , it is judged as an instantaneous mutation, the original smoothing value is maintained, and the mutation point is ignored; If ΔL th <|Lc-L i-1 |≤2×ΔL th , it is determined to be a gradual mutation, and linear interpolation smoothing is used, which can be expressed as: Ls new =L i-1 +(Lc-L i-1 )×t / T where t is the transition time point and T is the total transition time; If |Lc-L i-1 |≥2×ΔL th , it is judged as a drastic mutation and exponential smoothing is used, which is expressed as: Ls new =L i-1 +(Lc-L i-1 )×(1-e -3t / T ) Based on the smoothed light data, the light level is determined, and a first threshold and a second threshold are set. If Ls < the first threshold, it is preliminarily determined as weak light; if the first threshold < Ls < the second threshold, it is preliminarily determined as normal light; if the second threshold < Ls, it is preliminarily determined as strong light.

4. The LED solar pile security system based on network interconnection remote control switching warning voice as claimed in claim 3, characterized in that: The seasonal adjustment coefficient α is expressed as: Among them, α is the seasonal adjustment coefficient, S is the ratio of the actual sunshine hours to the theoretical sunshine hours, A is the current solar altitude angle, A0 is the solar altitude angle at noon on the vernal equinox, Y is the cumulative sunlight on the day, Y0 is the cumulative sunlight on the vernal equinox, is the light sensitivity coefficient, L is the current light intensity, and L0 is the standard light intensity; Adjust the brightness of the LED warning lights according to the current light intensity. Considering the influence of different seasons, the calculation formula for the brightness of the LED warning lights is expressed as: B=B0·[(L / L0) n ·exp(-k|L-L0|)+C]·β where B is the actual output brightness of the LED, B0 is the reference brightness of the LED, L is the current environmental light intensity, L0 is the standard light intensity, n is the light response index, k is the environmental adaptation coefficient, C is the minimum brightness retention coefficient, and β is the seasonal adjustment coefficient; The correlation relationship between the seasonal adjustment coefficient β and the seasonal adjustment coefficient α is expressed as: β=f(α,L,V)=[(1+α)·(L / L0)] m ·exp(-k|U-U0|) where U is the current visibility value, U0 is the standard reference visibility value, k is the environmental adaptation coefficient, and m is the light influence index.

5. The LED solar pile security system based on network interconnection remote control switching warning voice as claimed in claim 4, characterized in that: The crowd density detection submodule detects the crowd density in the surrounding area through an infrared sensor array, converts the detected crowd density value into a voice broadcast volume adjustment parameter, arranges the infrared sensors in a matrix, and there is a 20% overlap rate between adjacent sensors, collects crowd density data, calculates the basic crowd density by calculating the number of people in the monitoring area at a fixed time, sets crowd density intervals, and has different density corresponding coefficients in different intervals. The functional relationship between crowd density and volume adjustment is constructed, which is expressed as: Va=K×[1+log 10 (D+1)] V=Vb×Va Among them, Va is the volume adjustment parameter, K is the density corresponding coefficient, D is the crowd density value, V is the real-time volume value, and Vb is the reference volume value; The weather condition identification submodule identifies the current weather type, predicts short-term weather changes, adjusts system operating parameters, comprehensively considers factors such as temperature, humidity and rainfall, and calculates comprehensive weather condition parameters, which are expressed as: Wa=W×(1+α×Ka) Among them, Wa is the final weather state parameter after considering seasonal factors; W is the basic weather state parameter; α is the seasonal adjustment parameter; Ka is the seasonal influence coefficient; The calculation of the basic weather state parameter W is expressed as: W=w1T+w2H+w3R Among them, T represents temperature, H represents humidity, R represents rainfall, and w1, w2, and w3 are temperature weight, humidity weight, and rainfall weight, respectively.

6. The LED solar pile security system based on network interconnection remote control switching warning voice as claimed in claim 5, characterized in that: The data analysis module obtains the light intensity parameter through the light intensity sensing submodule, converts it into a digital signal through the analog-to-digital conversion circuit, and the digital signal is processed by the controller and divided into two gears: day mode and night mode; The day mode corresponds to the solar panel charging working state, and the night mode corresponds to the battery discharging working state; The crowd density detection submodule divides the number of people per unit area into three levels: sparse, normal, and dense. Each level corresponds to a preset warning response level. The weather condition recognition submodule is divided into three gears according to sunny, cloudy, rainy, snowy and foggy. Each gear corresponds to a different LED light group brightness and voice prompt frequency; At this time, the night mode and day mode are determined only by the light intensity. If it is daytime but the light intensity is insufficient, it may be determined as night mode. Then, further determination is made based on the weather conditions. The formula is expressed as: L=[∫I(t)·e -kt dt / I0]·W Wherein, L is the comprehensive determination coefficient of the lighting environment, I(t) is the real-time lighting intensity function, k is the time attenuation coefficient, t is the real-time sampling time, I0 is the standard lighting intensity reference value, and W is the basic weather state parameter; Furthermore, the real-time illumination intensity function I(t) is expressed as: I(t)=Is(t)·C(t) C(t)=exp(-d·cosθ)·[1-ε·(T-T0) / T0] Among them, I(t) is the processed real-time light intensity function, Is(t) is the sensor acquisition function, Ls(t) is the light intensity value of the i-th light sensor after smoothing, n is the number of sensors, C(t) is the calibration correction function, d is the incident angle attenuation coefficient, θ is the light incident angle, ε is the temperature influence coefficient, T is the current ambient temperature, and T0 is the standard temperature value.

7. The LED solar pile security system based on network interconnection remote control switching warning voice as claimed in claim 6, characterized in that: Based on the crowd density detection submodule, crowd density data is collected, and a dynamic change model of crowd density is established to calculate the crowd density value, which is expressed as: Where D is the density of human traffic, P i is the real-time flow count of the i-th detection area, n is the number of detection areas, λ is the spatial attenuation coefficient, H is the width of the monitoring area, G is the reference calibration coefficient, R is the environmental impact factor, I0 is the current light intensity, I s is the standard illumination threshold, μ is the visibility influence coefficient, and U is the current visibility value.

8. The LED solar pile security system based on network interconnection remote control switching warning voice as claimed in claim 7, characterized in that: The intelligent control module imports relevant parameters, calibrates each sensor, performs multi-point sampling comparison calibration, continuously collects light intensity data Li(t), calculates the light intensity Ls(t) after smoothing, collects temperature T, humidity H, and rainfall R data, calculates the weather condition function, and obtains the final light environment determination coefficient L; If the lighting environment determination coefficient is night mode and the crowd density information is dense level, it will switch to high-frequency voice broadcast mode, in which the LED light groups flash synchronously; If the weather condition data is rain, snow or fog, the voice broadcast volume is adjusted to the maximum value, the volume gain is achieved through the digital power amplifier circuit, the voice broadcast interval is shortened, and the LED light group is switched to high-brightness flashing mode; If the illumination environment determination coefficient is daytime mode, the crowd density information is sparse, and the weather condition data is sunny, the low-power voice mode is switched to, in which the broadcast interval is extended, the voice broadcast volume is reduced, and the LED light group is kept on at a low brightness; If the crowd density information of the adjacent warning post is at a dense level, the voice mode parameters of the adjacent warning post are received through the wireless communication module, and the voice mode that is the same as that of the adjacent warning post is automatically switched, including the broadcast interval, volume and LED light group display mode, to form a regional linkage warning network; If the crowd density information shows that the dense level continues to exceed the preset time, it will switch to the continuous broadcast mode. In the continuous broadcast mode, the voice prompt interval is shortened, the voice broadcast volume is adjusted to the maximum value, and an emergency warning signal is sent to the adjacent warning posts through the wireless communication module; If the lighting environment determination coefficient is night mode, the crowd density information is dense level, and the weather condition data is rain, snow or fog, it will switch to enhanced voice mode, the volume will be kept at the maximum value, the LED light group will flash at high frequency at maximum brightness, and a linkage signal will be sent to surrounding warning posts.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the LED solar pile security system based on network interconnection remote control switching warning voice are implemented as described in any one of claims 1 to 8.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by the processor, the steps of the LED solar pile security system based on network interconnection remote control switching warning voice are implemented as described in any one of claims 1 to 8.

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