Wireless synchronous dynamic active light-emitting multifunctional intelligent delineator based on green power generation and energy storage

Abstract

The invention relates to the technical field of delineators, in particular to a wireless synchronous dynamic active light-emitting type multifunctional intelligent delineator based on green power generation and energy storage. Comprising a delineator module which comprises a plurality of unit delineator plate bodies embedded with LED induction lamp beads; the sensor module is used for monitoring environmental parameters; the built-in control panel is used for loading a control system and automatically selecting an optimal control strategy by accurately calculating the real-time visibility; the communication module is used for realizing data transmission and information intercommunication; the energy supply system comprises a solar panel and an energy storage battery pack; and a user terminal. According to the design, through the remote control and intelligent adjustment functions, a driver can be warned to pay attention to driving safety in severe weather and on special roads, the occurrence of highway traffic accidents is effectively reduced to a certain degree, and therefore direct losses and indirect losses caused by the traffic accidents are reduced; the method has remarkable advantages in the aspects of safety, maintenance convenience, data support, adaptability and the like.

Description

Technical Field

[0001] The present invention relates to the technical field of delineator markers, and in particular to a wireless synchronous dynamic active luminous multifunctional intelligent delineator marker based on green power generation and energy storage. Background Art

[0002] Traffic accidents on expressways cause significant economic losses and casualties. After an initial traffic accident on most expressways, the lack of timely accident warnings and traffic guidance can lead to secondary accidents, causing the accident to become uncontrollable and resulting in even more serious consequences. Expressway accidents are a major cause of road congestion, and the dire situation has become a focus of attention for expressway managers and users. If traffic guidance devices on expressways could be used to promptly issue accident warnings and provide real-time traffic guidance to vehicles on the road after an initial accident, this would not only effectively alleviate traffic congestion caused by the accident but also reduce the likelihood of secondary accidents on the expressway. Delineators, as a key component of traffic safety equipment, play a vital role in ensuring safe driving. Their importance should not be underestimated simply because they represent a relatively small proportion of traffic safety equipment. This is especially true on expressways such as expressways and ring roads. Due to the high speeds of vehicles, visibility is limited and visibility is poor at night, in rainy and foggy conditions, or under adverse driving conditions such as interchanges, high-speed curves, and uphill and downhill slopes. Small delineators can clearly indicate the road's linear contours, significantly improving driving safety. Therefore, studying the development and application of contour markers and improving the understanding of contour markers play an important role in promoting the harmonious development of society.

[0003] Conventional road delineators are passively reflective and offer no warning function in the absence of light. This is particularly true on highway S-curves, interchange ramps, and in rainy and foggy conditions at night, where passive delineators are unable to fully fulfill their safety and warning functions. Therefore, there is an urgent need for new delineators that passively reflect light under normal conditions and actively illuminate in low-light conditions to warn following vehicles. This has prompted the development of new delineators that combine these two functions, such as solar delineators, to further ensure road safety. Compared to conventional delineators, solar delineators have two significant advantages. First, they offer high luminance, typically exceeding 5000 MCD, more than 10 times the reflective brightness of conventional delineators. This high-intensity light can penetrate rain and fog at night, providing drivers with clear directional guidance. Second, solar delineators offer both active luminescence and dynamic warning functions. They flash at a specific frequency at night. This dynamic flashing is more sensitive to human vision, minimizing interference from rain and fog, and enhancing driving safety.

[0004] In addition, based on solar - powered active profile signs and wind - powered active profile signs, we conceived and studied solar - powered wireless synchronous intelligent profile signs. Its advantage lies in that we adopted the advantages of solar - powered active profile signs and wind - powered active profile signs, which passively reflect light under normal circumstances and actively reflect light when the light is insufficient. In this way, it can actively warn the following vehicles in some special weather and special situations, reducing to a certain extent the traffic accidents caused by special weather or special roads during highway driving. At the same time, it retains the advantages of solar - powered active profile signs in using solar power generation and electricity storage, which means they can operate in places without power supply, further increasing the convenience of their use. Then, based on these pre - conditions, we made a significant improvement and leap for solar - powered wireless synchronous intelligent profile signs. They can be controlled through a remote monitoring system. This system allows users to change the display content nationwide, including the flashing frequency, timed switch, working period, brightness, etc. This flexibility enables the profile signs to be adjusted according to real - time weather conditions to provide the best driving safety guidance. The control of this remote monitoring system ensures the safety of drivers to a certain extent when encountering special weather or special roads on the highway.

[0005] An important feature of intelligent profile signs is that they can be controlled through a remote monitoring system. This system allows users to change the display content nationwide, including the flashing frequency, timed switch, working period, brightness, etc. This flexibility enables the profile signs to be adjusted according to real - time weather conditions to provide the best driving safety guidance. In addition, these intelligent profile signs also have the characteristic of solar power supply, which means they can operate in places without power supply, further increasing the convenience of their use. In view of this, we propose a wireless synchronous dynamic active - lighting multifunctional intelligent profile sign based on green power generation and energy storage. Summary of the Invention

[0006] The purpose of the present invention is to provide a wireless synchronous dynamic active - lighting multifunctional intelligent profile sign based on green power generation and energy storage to solve the problems raised in the above - mentioned background technology.

[0007] To solve the above - mentioned technical problems, the purpose of the present invention is to provide a wireless synchronous dynamic active - lighting multifunctional intelligent profile sign based on green power generation and energy storage, including:

[0008] A profile sign module for realizing physical marking, static indication, and intelligent dynamic warning functions, including a number of unit profile sign boards regularly arranged on the same mounting frame panel. A number of LED induction lamp beads are matrix - embedded on the unit profile sign boards, and a number of unit profile sign boards can achieve different - shaped light displays according to programming.

[0009] A sensor module for real-time monitoring of environmental parameters within a certain range where the contour marker module is located;

[0010] A built-in control board for loading a control system. The control system combines the monitoring data collected by the sensor module and the real-time weather conditions obtained from the cloud, accurately calculates the real-time visibility through a built-in algorithm, automatically selects the optimal control strategy according to the specific environmental conditions, and drives the contour marker module to perform active light warning operations;

[0011] A communication module, based on wireless communication technology, to achieve data transmission and information interconnection among the contour marker module, the sensor module, the built-in control board, the cloud platform, the user terminal, and the real-time navigation system;

[0012] An energy supply system, based on photovoltaic power generation technology, to supply power to the contour marker module, the sensor module, the built-in control board, and the communication module; including a solar panel installed at the top of the mounting frame and an energy storage battery pack buried underground at the bottom of the mounting frame;

[0013] A user terminal, through wireless communication technology, is information-associated with the control system to achieve intuitive display of real-time data and provide an interactive platform for managers to achieve remote control and parameter adjustment.

[0014] As a further improvement of this technical solution, the sensor module at least includes a temperature sensor, a humidity sensor, an illuminance sensor, a camera component, a lidar, a locator, a photosensitive sensor, a voltage detector, etc.; among them:

[0015] The temperature sensor is used to real-time monitor the environmental temperature around the intelligent contour marker and the operating temperature of the energy storage battery pack;

[0016] The humidity sensor is used to real-time monitor the environmental humidity around the intelligent contour marker;

[0017] The illuminance sensor is used to real-time measure the illuminance of natural daylight;

[0018] The camera component obtains the environmental image around the intelligent contour marker and is used to judge the current weather conditions in the area where it is located through vision technology;

[0019] The lidar is used to measure and calculate the atmospheric extinction coefficient through laser pulse technology, so as to calculate the visibility using the meteorological optical range formula;

[0020] The locator is used to locate the specific position coordinates of the area where the intelligent contour marker is located, feedback to the cloud, and connect to the Internet through wireless communication technology to real-time obtain the local weather forecast information;

[0021] The photosensitive sensor instantaneously detects the current light intensity and, in combination with the standard time synchronization clock built into the control system, is used to judge the sunrise and sunset situations;

[0022] The voltage detector is used to monitor the operating voltage of the LED induction lamp beads on the contour marker module in real time.

[0023] As a further improvement of this technical solution, the control system includes an algorithm management module, a data processing module, a control strategy module, and a device monitoring module that are sequentially communicatively connected; where:

[0024] The algorithm management module is used to write various algorithms involved in system management, including visibility calculation algorithms, big data analysis algorithms, machine learning algorithms, etc.;

[0025] The data processing module is used to process the real-time acquisition data obtained from the sensor module and the data obtained from the Internet, and apply the processed data to system management;

[0026] The control strategy module is used to set various intelligent contour marker active lighting strategies that need to be applied under different visibility and different weather conditions for the system management to automatically select and switch for execution;

[0027] The device monitoring module is used to monitor and manage the operating states of all basic devices in the intelligent contour marker, and provide real-time feedback to the user terminal when a device fails to ensure the continuous and stable operation of the entire intelligent contour marker.

[0028] As a further improvement of this technical solution, the visibility calculation algorithm is specifically as follows:

[0029] First, use the meteorological optical range (MOR) calculation method, which is calculated according to the atmospheric extinction coefficient. The scattering and absorption of light by the atmosphere will cause the light intensity to gradually weaken during propagation. The visibility is determined by measuring the attenuation degree of the light intensity, and its calculation formula is:

[0030]

[0031] Among them, MOR is the meteorological optical range, with the unit of m; σ is the atmospheric extinction coefficient, with the unit of m -1 ; The atmospheric extinction coefficient can be determined by measuring the light intensity attenuation of light propagating a certain distance in the atmosphere with an instrument;

[0032] Secondly, using the lidar method, a laser pulse is emitted into the atmosphere by the lidar. When the laser propagates in the atmosphere, it interacts with gas molecules, aerosols and other particles in the atmosphere, generating scattering and reflection. By receiving and analyzing the returned laser signal, the distribution and characteristic information of the particles in the atmosphere are obtained, and then the atmospheric extinction coefficient is calculated. Then, the visibility is calculated according to the formula of the meteorological optical range; the formula of the lidar equation is:

[0033]

[0034] Among them, P(r) is the backscattering signal at different distances r, P0 is the power of the emitted laser, c is the speed of light, τ is the laser pulse width, A is the area of the receiving telescope, and β(r) is the atmospheric backscattering coefficient; σ(s) is the atmospheric extinction coefficient, s is an integration variable, which represents the distance variable on the laser propagation path, and the integral is the integration of the atmospheric extinction coefficient σ(s) from the laser emission point s = 0 to the distance r;

[0035] Then, through the analysis of the backscattering signal, the atmospheric extinction coefficient σ is inversely calculated using relevant algorithms. Finally, according to the visibility is calculated.

[0036] As a further improvement of this technical solution, the visibility calculation algorithm also includes the empirical formula method. The empirical formula method includes the Koschmieder formula, the Angstrom empirical correction formula, the contrast visual threshold related formula, and the formula based on luminous flux; according to the environmental parameters collected by the sensor module, the Koschmieder formula is selected, and the specific algorithm is:

[0037] By statistically analyzing a large amount of meteorological data and visibility observation data, an empirical relationship between visibility and other meteorological elements is established, and these empirical formulas are used to estimate the visibility; the formula is:

[0038]

[0039] Among them, V is the visibility, in meters; RH is the relative humidity; p is the atmospheric pressure, in hectopascals; T is the temperature, in Kelvin;

[0040] At the same time, the Allard's law is used to calculate the night visibility. Allard is the basis for measuring night visibility. Night visibility usually refers to the maximum distance at which an unfocused luminous body can be clearly seen. Therefore, night visibility is also called light visibility; the calculation formula is:

[0041]

[0042] Among them, E is the illuminance, I is the luminous intensity of the light source, d is the distance from the observation point to the light source, that is, the visibility of the light, Q is the extinction coefficient, and e is the base of the natural logarithm.

[0043] As a further improvement of this technical solution, based on the weighted average algorithm, combining the meteorological optical range MOR calculation method and the empirical formula method or Allard's law to improve the calculation accuracy of visibility. The specific algorithm is as follows:

[0044] Calculation of daytime visibility:

[0045]

[0046] Calculation of nighttime visibility:

[0047]

[0048] Among them, V 日间 is the optimized daytime visibility, a is the daytime proportion weight of the meteorological optical range, and b is the proportion weight of the daytime visibility calculated by the empirical formula method; V 夜间 is the optimized nighttime visibility, c is the nighttime proportion weight of the meteorological optical range, and e is the proportion weight of the visibility of the light;

[0049] Then, through data comparison, map the calculated visibility values to the pre-divided visibility levels for the subsequent execution of the control strategy; among them, the visibility levels include:

[0050] Level 1 visibility - high daytime visibility: visibility value V 日间 ≥20 km;

[0051] Level 2 visibility - general daytime visibility: visibility value 10 km ≤ V 日间 <20 km;

[0052] Level 3 visibility - low daytime visibility: visibility value 1 km ≤ V 日间 <10 km;

[0053] Level 4 visibility - extremely low daytime visibility: visibility value V 日间 <1 km.

[0054] As a further improvement of this technical solution, the specific operation process of the data processing module includes the following steps:

[0055] S32.1. Data acquisition: Obtain the environmental parameter data around the intelligent profile marker collected in real time from the sensor module, and at the same time obtain the real-time weather forecast data of the location of the intelligent profile marker from the Internet;

[0056] S32.2, Data Transmission: Transmit the acquired data to the control system installed on the built-in control board;

[0057] S32.3, Data Preprocessing: Clean, convert the format, and standardize the acquired data, etc.;

[0058] S32.4, Data Classification and Storage: Store the preprocessed data in the storage element of the built-in control board for subsequent use;

[0059] S32.5, Data Application: Further process and analyze the preprocessed data, including data processing, data analysis, and data visualization, and apply the processed data to the operation process of the intelligent contour marker;

[0060] S32.6, Data Statistical Analysis: Classify and save all the associated information in the entire data application process to the storage element, which is used as the basic data source for data learning and the reference basis for operation and maintenance management.

[0061] As a further improvement of this technical solution, the control functions of the control strategy module include light on / off, deformation display, and flash frequency / brightness adjustment;

[0062] The light on / off is used to automatically execute the operation of turning the light on or off according to the current environmental visibility and day / night period;

[0063] The deformation display is used to light up the corresponding lights in the shape of the pre-programmed icon according to the currently judged weather conditions;

[0064] The flash frequency / brightness adjustment is used to automatically execute the preset light flash frequency and light brightness operations at the corresponding level according to the currently judged visibility level.

[0065] As a further improvement of this technical solution, the strategies set in the control strategy module at least include: high visibility mode, daytime low visibility mode, night mode, rain / fog / snow mode, tunnel entrance mode, speed limit reminder mode. The specific control strategies are as follows:

[0066] High Visibility Mode: Jointly judge through the illuminance sensor, camera module, photosensitive sensor, and standard time synchronization clock that it is daytime and not rainy / snowy / foggy weather currently, and at the same time the visibility level is grade one. Then the lights of the contour marker module remain off, and the passive reflection function of each unit contour marker plate body is retained;

[0067] Daytime Low Visibility Mode: Jointly judge through the illuminance sensor, camera module, photosensitive sensor, and standard time synchronization clock that it is daytime and not rainy / snowy / foggy weather currently, and at the same time the visibility level is grade two. Then one-third of the lights of the contour marker module light up with normal brightness, remaining on constantly or flashing once every 1 - 5 minutes;

[0068] Night mode: When it is jointly determined by the illuminance sensor, camera module, photosensitive sensor and standard time synchronization clock that it is night, all the lights of the contour marker module will turn on at high brightness, staying on constantly or flashing once every 30 - 60 s;

[0069] Rain / fog / snow mode: When it is jointly determined by the locator, real-time weather forecast data, humidity sensor and camera module that it is rainy / snowy / foggy weather, and the visibility level is grade two, the lights of the contour marker module will turn on in the corresponding rain / snow / fog patterns programmed in advance at normal brightness, staying on constantly or flashing once every 15 - 30 s;

[0070] When it is jointly determined that it is rainy / snowy / foggy weather and the visibility level is grade three, the lights of the contour marker module will turn on in the corresponding rain / snow / fog patterns programmed in advance at high brightness, and a circle of contours will turn on at the edge of the contour marker module outside the corresponding pattern, staying on constantly or flashing once every 5 - 10 s;

[0071] Tunnel entrance mode: When it is determined by the locator and camera module that the current intelligent contour marker is at the tunnel entrance and the visibility degree is lower than grade one, the lights of the contour marker module will turn on in the tunnel sign pattern programmed in advance at high brightness, flashing once every 1 - 3 s;

[0072] Speed limit reminder mode: When it is calculated that the current visibility is grade four or lower, the data will be fed back to the user terminal and the traffic management department simultaneously. After receiving the speed limit instruction issued by the traffic management department, the lights of the contour marker module will turn on in the numerical pattern corresponding to the speed limit at high brightness, flashing once every 1 - 3 s.

[0073] As a further improvement of this technical solution, the device monitoring module monitors the operation process of the intelligent contour marker based on data anomaly detection algorithms and fault prediction algorithms;

[0074] Among them, the data anomaly detection algorithm adopts machine learning algorithms: The clustering algorithm is adopted to perform clustering analysis on the monitoring data in the normal operation state to form normal data clusters; when the new data points are far from these normal clusters, they are judged as abnormal; the K-Means algorithm is adopted, and its algorithm process is as follows:

[0075] Let the monitoring data be an n-dimensional vector set X = {x1, x2,..., x m}, where x i = {x i1 , x i2 ,..., x in};

[0076] Randomly select K initial clustering centers C = {c1, c2,..., c K}, where cj = {c j1 , c j2 ,..., c jn}, j = 1, 2,..., K;

[0077] For each data point x i , calculate its distance d j to each cluster center c ij , usually using the Euclidean distance formula

[0078] Assign the data point x i to the cluster to which the nearest cluster center belongs;

[0079] Recalculate the cluster center of each cluster, that is, for the j-th cluster, the value of each dimension of the new cluster center c j is the average value of the corresponding dimension values of all data points in the cluster, that is where N j is the number of data points in the j-th cluster;

[0080] Repeat the above steps of assigning data points and updating the cluster center until the cluster center no longer changes significantly;

[0081] For the new data point x new , calculate its distance to each cluster center. If the distance to the nearest cluster center is greater than a set threshold, then determine that x new is an anomaly;

[0082] The fault prediction algorithm uses a time series analysis algorithm: Using the ARIMA model, model and analyze the historical monitoring data to predict the trend of future data; If the predicted value deviates significantly from the actual monitoring value, or the predicted trend shows an upcoming abnormal change, then give an early warning of the fault; The specific algorithm process includes:

[0083] Model establishment process:

[0084] Let the monitoring data sequence be {y t},t = 1, 2,..., T;

[0085] First, perform a stationarity test on the data; If the data is non-stationary, it is necessary to perform differencing until the data is stationary; Let the number of differencing times be d;

[0086] Determine the autoregressive order p and the moving average order q of the ARIMA model;

[0087] The formula for establishing the ARIMA(p, d, q) model is:

[0088]

[0089] wherein is an autoregressive operator, θ(B) = 1 + θ1B + θ2B 2 +... + θ q B q is a moving average operator, B is a lag operator (i.e., B k y t = y t -k), ∈ t is a white noise sequence;

[0090] Prediction process:

[0091] Estimate the parameters of the ARIMA model and θ1, θ2,..., θ q , and the least squares method or the maximum likelihood estimation method can be used;

[0092] For the predicted value at future time T+h, (h = 1, 2,...) can be obtained through recursive calculation;

[0093] If the predicted value has a large deviation from the actual monitored value y T+h , or the prediction trend shows an impending abnormal change, a fault warning is given in advance.

[0094] Compared with the prior art, the beneficial effects of the present invention:

[0095] As a special lighting device, the wireless synchronous dynamic active lighting multifunctional intelligent profile marker based on green power generation and energy storage can warn and remind drivers to pay attention to driving safety under bad weather and special roads through its remote control and intelligent adjustment functions, effectively reducing the occurrence of highway traffic accidents to a certain extent, thereby reducing the direct and indirect losses caused by traffic accidents;

[0096] Traditional profile markers mainly rely on physical markings and static indications, while this intelligent profile marker integrates advanced artificial intelligence and Internet of Things technologies and can achieve remote control and change the flashing mode according to the weather conditions;

[0097] Traditional profile markers are passive in lighting and are easily blocked by dust and become ineffective; this intelligent profile marker is solar-powered and LED actively emits light, with good warning effects;

[0098] The functions of traditional profile markers are relatively single and mainly play the roles of identification and reminder; while this intelligent profile marker not only has the basic functions of traditional profile markers, but also can perform various functions such as real-time monitoring, data analysis, and remote control, greatly improving the use efficiency and safety;

[0099] Through built-in sensors and algorithms, this intelligent contour marker can perceive and analyze the surrounding environment, and automatically adjust its working state and indication information to adapt to different traffic scenarios and requirements. Traditional contour markers, on the other hand, cannot achieve such intelligent management.

[0100] The design of this intelligent contour marker takes into account future upgrade and expansion needs, and can achieve function upgrade and performance improvement through software updates and hardware upgrades. Traditional contour markers, however, often cannot adapt to such changes and need to replace the entire device to achieve upgrades.

[0101] This intelligent contour marker has higher safety. It can monitor the weather in real time and automatically adjust its working state according to this information, which can effectively reduce the risk of traffic accidents. This intelligent contour marker can also perform fault detection and repair through remote control, reducing potential safety hazards during maintenance.

[0102] By collecting and analyzing traffic data in real time, this intelligent contour marker can turn on and off the lights according to weather forecasts, sunrise and sunset times, and sensors, thus achieving the function of unattended operation.

[0103] This intelligent contour marker can adapt to various complex traffic environments and weather conditions. For example, in bad weather or low visibility conditions, the intelligent contour marker can improve visibility by adjusting brightness or flashing frequency, etc., ensuring that drivers can clearly see the road contour, especially when driving at night.

[0104] Traditional contour markers are completely ineffective in rainy and foggy weather, while this intelligent contour marker also performs well in bad weather, flashing at the same frequency, more technological, and can effectively prevent driver fatigue when driving at night.

[0105] In addition, considering the safety accidents at the entrances and exits of tunnels in China, this intelligent contour marker can play an induction role at the entrances and exits of tunnels, enabling drivers to more clearly observe the tunnel entrance visually, thereby reducing risks, while traditional contour markers do not have this effect.

[0106] In summary, this intelligent contour marker shows significant advantages in terms of safety, maintenance convenience, data support, and adaptability. With the continuous development of artificial intelligence and Internet of Things technologies, intelligent contour markers are expected to become the mainstream choice in the field of traffic facilities in the future, making greater contributions to traffic safety and efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0107] Figure 1 It is a schematic diagram of the overall contour marker architecture exemplary in the present invention;

[0108] Figure 2 It is a schematic diagram of the module of the control system exemplary in the present invention;

[0109] Figure 3This is a physical product diagram of an exemplary unit profile board body in the present invention;

[0110] Figure 4 This is a physical product diagram of an exemplary solar panel in the present invention;

[0111] Figure 5 This is one of the system display interface diagrams of an exemplary user terminal in the present invention;

[0112] Figure 6 This is another system display interface diagram of an exemplary user terminal in the present invention;

[0113] Figure 7 This is yet another system display interface diagram of an exemplary user terminal in the present invention;

[0114] Figure 8 This is still another system display interface diagram of an exemplary user terminal in the present invention;

[0116] In the figure:

[0117] 1. Profile mark module; 2. Sensor module; 3. Built-in control board; 31. Algorithm management module; 32. Data processing module; 33. Control strategy module; 34. Equipment monitoring module; 4. Communication module; 5. Energy supply system; 6. User terminal. Detailed implementation manners

[0118] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0119] Embodiment 1

[0120] As Figure 1 shown, this embodiment provides a wireless synchronous dynamic active light-emitting multifunctional intelligent profile mark based on green power generation and energy storage, including:

[0121] A profile mark module 1 for realizing physical marking, static indication and intelligent dynamic warning functions, including a number of unit profile board bodies regularly arranged on the same mounting frame panel. A number of LED induction lamp beads are embedded in a matrix on the unit profile board body, and a number of unit profile board bodies can realize different-shaped light displays according to programming;

[0122] Among them, the unit profile board body is made of degradable resin to reduce the impact on the environment, such as Figure 3As shown; the actively luminous lamp body is the core part of the intelligent contour marker system, and its design and control are of great significance for improving road safety and driving comfort; its research content should include the optical design, circuit design, control strategy, etc. of the lamp body to achieve the best lighting effect and energy-saving effect;

[0123] The sensor module 2 is used to real-time monitor the environmental parameters within a certain range where the contour marker module 1 is located;

[0124] The built-in control board 3 is used to load the control system. The control system combines the monitoring data collected by the sensor module 2 and the real-time weather conditions obtained from the cloud, accurately calculates the real-time visibility through the built-in algorithm, and automatically selects the optimal control strategy according to the specific environmental conditions, and drives the contour marker module 1 to perform the actively luminous warning operation;

[0125] The communication module 4, based on wireless communication technology, realizes data transmission and information interconnection among the contour marker module 1, the sensor module 2, the built-in control board 3, the cloud platform, the user terminal 6 and the real-time navigation system;

[0126] The power supply system 5, based on photovoltaic power generation technology, supplies power to the contour marker module 1, the sensor module 2, the built-in control board 3 and the communication module 4; it includes a solar panel installed at the top of the mounting frame and an energy storage battery pack buried underground at the bottom of the mounting frame; an exemplary structure of the solar panel is as Figure 4 shown, which uses natural resources to supply power to the contour marker, effectively reducing energy consumption;

[0127] Due to the large span of the highway and the scattered foggy sections, laying a power supply line for the induction lamp alone not only has a high cost but also is complex in construction. Therefore, designing and optimizing the solar photovoltaic module to provide a stable and reliable power supply for the contour lamp is one of the important research contents of the intelligent contour marker;

[0128] The user terminal 6 is information-associated with the control system through wireless communication technology, realizes the intuitive display of real-time data, and provides an interactive platform for managers to achieve remote control and parameter adjustment.

[0129] The research content of the intelligent contour marker involves multiple aspects, including solar photovoltaic modules, actively luminous lamp bodies, data transmission and control systems, etc.; through in-depth research and optimization of these aspects, a more efficient, stable and reliable solar contour marker system can be developed to improve the safety and driving comfort of the highway.

[0130] In this embodiment, the sensor module 2 at least includes a temperature sensor, a humidity sensor, an illuminance sensor, a camera assembly, a lidar, a locator, a photosensitive sensor, a voltage detector, etc.; among them:

[0131] The temperature sensor is used to monitor the ambient temperature around the intelligent contour marker and the operating temperature of the energy storage battery pack in real time;

[0132] The humidity sensor is used to monitor the ambient humidity around the intelligent contour marker in real time;

[0133] The illuminance sensor is used to measure the illuminance of natural daylight in real time;

[0134] The camera component acquires the ambient image around the intelligent contour marker and is used to judge the current weather condition of the area where it is located through vision technology;

[0135] The lidar is used to measure and calculate the atmospheric extinction coefficient through laser pulse technology, so as to calculate the visibility using the meteorological optical range formula;

[0136] The locator is used to locate the specific position coordinates of the area where the intelligent contour marker is located, feedback to the cloud, and connect to the Internet through wireless communication technology to obtain the local weather forecast information in real time;

[0137] The photosensitive sensor instantaneously detects the current light intensity and combines with the standard time synchronization clock built in the control system to judge the sunrise and sunset conditions;

[0138] The voltage detector is used to monitor the working voltage of the LED induction lamp beads on the contour marker module 1 in real time.

[0139] In this embodiment, the control system is the management center of the intelligent contour marker system and is responsible for managing and controlling the operation of the entire system; its research content includes the design and implementation of a control computer, meteorological service software, traffic guidance management software, etc. to achieve efficient data processing, control and management functions; such as Figure 2 As shown, the control system includes an algorithm management module 31, a data processing module 32, a control strategy module 33, and a device monitoring module 34 that are communicatively connected in sequence; among them:

[0140] The algorithm management module 31 is used to write various algorithms involved in system management, including visibility calculation algorithms, big data analysis algorithms, machine learning algorithms, etc.;

[0141] Among them, the visibility calculation algorithm is specifically:

[0142] First, use the meteorological optical range MOR calculation method to calculate according to the atmospheric extinction coefficient. The scattering and absorption of light by the atmosphere will cause the light intensity to gradually weaken during propagation. The visibility is determined by measuring the attenuation degree of the light intensity. The calculation formula is:

[0143]

[0144] Among them, MOR is the meteorological optical range, with the unit of m; σ is the atmospheric extinction coefficient, with the unit of m-1 ; The atmospheric extinction coefficient can be determined by measuring the light intensity attenuation of light propagating a certain distance in the atmosphere with an instrument;

[0145] Secondly, using the lidar method, a laser pulse is emitted into the atmosphere by the lidar. When the laser propagates in the atmosphere, it will interact with gas molecules, aerosols and other particles in the atmosphere, generating scattering and reflection. By receiving and analyzing the returned laser signal, information on the distribution and characteristics of particles in the atmosphere is obtained, and then the atmospheric extinction coefficient is calculated. Then, the visibility is calculated according to the formula of meteorological optical range; The formula of the lidar equation is:

[0146]

[0147] where P(r) is the backscattering signal at different distances r, P0 is the power of the emitted laser, c is the speed of light, τ is the laser pulse width, A is the area of the receiving telescope, and β(r) is the atmospheric backscattering coefficient; σ(s) is the atmospheric extinction coefficient, s is an integration variable, which represents the distance variable on the laser propagation path, and the integral is the integration of the atmospheric extinction coefficient σ(s) from the laser emission point s = 0 to the distance r. The purpose is to calculate the cumulative effect of the light intensity attenuation caused by atmospheric extinction from the emission point to the distance r, so as to accurately describe the change of the laser intensity when propagating in the atmosphere. Then, the atmospheric extinction coefficient σ and the visibility are calculated by analyzing the backscattering signal;

[0148] Then, through the analysis of the backscattering signal, the atmospheric extinction coefficient σ is retrieved using a related algorithm. Finally, according to the visibility is calculated.

[0149] Furthermore, the visibility calculation algorithm also includes the empirical formula method. The empirical formula method includes the Koschmieder formula, the Angstrom empirical correction formula, the contrast visual threshold related formula and the formula based on luminous flux; According to the environmental parameters collected by the sensor module 2, the Koschmieder formula is selected, and the specific algorithm is:

[0150] By statistically analyzing a large amount of meteorological data and visibility observation data, an empirical relationship between visibility and other meteorological elements (such as relative humidity, wind speed, temperature, etc.) is established, and these empirical formulas are used to estimate the visibility; The formula is:

[0151]

[0152] where V is the visibility, with the unit of m; RH is the relative humidity; p is the atmospheric pressure, with the unit of hectopascal; T is the temperature, with the unit of Kelvin;

[0153] Angstrom empirical correction formula:

[0154] In view of the deficiency of using the atmospheric extinction coefficient at a wavelength of 0.55 μm to approximately represent the atmospheric extinction coefficient of white light in Koschmieder's law, Angstrom proposed an empirical correction formula considering the wavelength dependence. When calculating horizontal visibility, the formula can be expressed as:

[0155]

[0156] Among them, V is visibility, σ λ is the atmospheric extinction coefficient at wavelength λ, with the unit of λ being μm, and the coefficient q can be determined by an empirical formula; [[ID=1 three]]

[0157] Contrast visual threshold related formula:

[0158] Based on the contrast visual threshold ε of the human eye and the atmospheric extinction coefficient σ, assuming a uniform, isotropic atmosphere with zero absorption rate and the scattered light intensity being proportional to the scattering coefficient, the visibility formula is:

[0159]

[0160] If the contrast visual threshold of the human eye ε = 0.05 and the atmospheric extinction coefficient σ takes the value at the wavelength λ = 0.55 μm, which is the most sensitive wavelength of the human eye, the visibility can be calculated accordingly;

[0161] Formula based on luminous flux: [[ID= twenty-eight]]

[0162]

[0163] Among them, Φ1 is the luminous flux passing through the transmitting lens, Φ2 is the luminous flux passing through the receiving lens, S1 is the cross-sectional area of the transmitting lens, S2 is the cross-sectional area of the receiving lens, α1 is the distance from the transmitting lens to the sampling space, α2 is the distance from the receiving lens to the sampling space, U is the diffused volume of the gas in the sampling space, and V is the visibility;

[0164] At the same time, the Allard's law is used to calculate the night visibility. Allard is the basis for measuring night visibility. Night visibility usually refers to the maximum distance at which an unfocused luminous body (light) can be clearly seen. Therefore, night visibility is also called light visibility; the calculation formula is:

[0165]

[0166] Among them, E is the illuminance, I is the luminous intensity of the light source, d is the distance from the observation point to the light source, that is, the light visibility, Q is the extinction coefficient, and e is the base of the natural logarithm.

[0167] Furthermore, based on the weighted average algorithm, the meteorological optical range MOR calculation method and the empirical formula method or Allard's law are combined to improve the calculation accuracy of visibility. The specific algorithm is as follows:

[0168] Calculation of daytime visibility:

[0169]

[0170] Calculation of nighttime visibility:

[0171]

[0172] Among them, V 日间 is the optimized daytime visibility, a is the daytime proportion weight of the meteorological optical range, and b is the proportion weight of the daytime visibility calculated by the empirical formula method; V 夜间 is the optimized nighttime visibility, c is the nighttime proportion weight of the meteorological optical range, and e is the proportion weight of the visibility of lights;

[0173] Then, through data comparison, the calculated visibility values are mapped to the pre-divided visibility levels for the subsequent execution of control strategies; among them, the visibility levels include:

[0174] First-level visibility - high daytime visibility: visibility value V 日间 ≥20 km;

[0175] Second-level visibility - general daytime visibility: visibility value 10 km ≤ V 日间 <20 km;

[0176] Third-level visibility - low daytime visibility: visibility value 1 km ≤ V 日间 <10 km;

[0177] Fourth-level visibility - extremely low daytime visibility: visibility value V 日间 <1 km.

[0178] The data processing module 32 is used to process the real-time acquisition data obtained from the sensor module 2 and the data obtained from the Internet, and apply the processed data to system management; the specific operation process includes the following steps:

[0179] S32.1. Data acquisition: Obtain the environmental parameter data around the intelligent profile marker collected in real time from the sensor module 2, and at the same time obtain the real-time weather forecast data of the location of the intelligent profile marker from the Internet;

[0180] S32.2, Data Transmission: Transmit the acquired data to the control system installed on the built-in control board 3; data transmission is a key part of the intelligent profile marker system, responsible for realizing data communication within the road section, including controlling the flashing of the profile marker lights, receiving data from various sensors, and feedback signals of the profile marker lights, etc.; the specific research content also includes aspects such as the network structure design of data transmission, communication protocol design, and data transmission stability;

[0181] S32.3, Data Preprocessing: Clean, format convert, and standardize the acquired data, etc.;

[0182] S32.4, Data Classification and Storage: Store the preprocessed data in the storage element of the built-in control board 3 for subsequent use;

[0183] S32.5, Data Application: Further process and analyze the preprocessed data, including data processing, data analysis, and data visualization, and apply the processed data to the operation process of the intelligent profile marker;

[0184] S32.6, Data Statistical Analysis: Classify and save all the associated information in the entire process of data application into the storage element, which is used as the basic data source for data learning and the reference basis for operation and maintenance management.

[0185] The control strategy module 33 is used to set various intelligent profile marker active lighting strategies that need to be applied under different visibility and different weather conditions for the system management to automatically select and switch for execution;

[0186] Among them, the control functions of the control strategy module 33 include lighting on and off, deformation display, flash frequency / brightness adjustment;

[0187] Lighting on and off is used to automatically execute the operation of lighting on or off according to the current environmental visibility and day / night period;

[0188] Deformation display is used to light up the corresponding lights in the icon shape programmed in advance according to the currently judged weather conditions; it can also be adjusted to different shapes and heights according to road conditions and needs. This design can meet the requirements in different traffic scenarios, such as construction areas, temporary traffic control, or special event routes, etc., improving the applicability and flexibility of the intelligent profile marker;

[0189] Flash frequency / brightness adjustment is used to automatically execute the preset lighting flash frequency and lighting brightness operations corresponding to the current judged visibility level.

[0190] Specifically, the intelligent contour marker can automatically control the lights according to local meteorological conditions through AI technology to ensure the best warning effect under different lighting conditions. This dynamic adjustment function can not only improve the visibility of the intelligent contour marker, but also save energy and extend its service life.

[0191] Furthermore, the strategies set in the control strategy module 33 at least include: high visibility mode, daytime low visibility mode, night mode, rain / fog / snow mode, tunnel entrance mode, speed limit reminder mode. The specific control strategies are as follows:

[0192] High visibility mode: It is jointly judged by the illuminance sensor, camera component, photosensitive sensor and standard time synchronization clock that it is daytime and not rainy / snowy / foggy weather, and at the same time the visibility level is grade one. Then the lights of the contour marker module 1 remain off, and the passive reflective function of each unit contour marker plate body is retained.

[0193] Daytime low visibility mode: It is jointly judged by the illuminance sensor, camera component, photosensitive sensor and standard time synchronization clock that it is daytime and not rainy / snowy / foggy weather, and at the same time the visibility level is grade two. Then one-third of the lights of the contour marker module 1 light up with normal brightness, and remain on or flash once every 1 - 5 minutes.

[0194] Night mode: It is jointly judged by the illuminance sensor, camera component, photosensitive sensor and standard time synchronization clock that it is night. Then all the lights of the contour marker module 1 light up with high brightness, and remain on or flash once every 30 - 60 seconds.

[0195] Rain / fog / snow mode: It is jointly judged by the locator, real-time weather forecast data, humidity sensor and camera component that it is rainy / snowy / foggy weather, and at the same time the visibility level is grade two. Then the lights of the contour marker module 1 light up with normal brightness according to the corresponding rain / snow / fog graphics programmed in advance, and remain on or flash once every 15 - 30 seconds.

[0196] When it is jointly determined that it is rainy / snowy / foggy weather and the visibility level is grade three at the same time, then the lights of the contour marker module 1 light up with high brightness according to the corresponding rain / snow / fog graphics programmed in advance, and a circle of contour lights up at the edge of the contour marker module 1 outside the corresponding graphics, and remains on or flashes once every 5 - 10 seconds.

[0197] Tunnel entrance mode: It is judged by the locator and camera component that the current intelligent contour marker is located at the tunnel entrance and the visibility degree is lower than grade one. Then the lights of the contour marker module 1 light up with high brightness according to the tunnel sign graphics programmed in advance, and flash once every 1 - 3 seconds.

[0198] Speed limit reminder mode: When the current visibility is calculated to be level four or lower, the data is simultaneously fed back to the user terminal 6 and the traffic management department. After receiving the speed limit instruction issued by the traffic management department, the lights of the contour marker module 1 will light up in a high brightness according to the numerical pattern of the speed limit and flash once every 1 - 3 seconds.

[0199] The device monitoring module 34 is used to monitor and manage the operating status of all basic devices in the intelligent contour marker, and in the event of a device failure, it will be fed back to the user terminal 6 in real time to ensure the continuous and stable operation of the entire intelligent contour marker.

[0200] Specifically, the device monitoring module 34 monitors the operation process of the intelligent contour marker based on data anomaly detection algorithms and fault prediction algorithms.

[0201] Among them, the data anomaly detection algorithm uses machine learning algorithms: the clustering algorithm is adopted to perform clustering analysis on the monitoring data under normal operating conditions to form normal data clusters; when the distance between a new data point and these normal clusters is far, it is judged as abnormal; the K-Means algorithm is adopted, and its algorithm process is as follows:

[0202] Let the monitoring data be an n-dimensional vector set X = {x1, x2,..., x m}, where x i = {x i1 , x i2 ,..., x in};

[0203] Randomly select K initial clustering centers C = {c1, c2,..., c K}, where c j = {c j1 , c j2 ,..., c jn}, j = 1, 2,..., K;

[0204] For each data point x i , calculate its distance d j to each clustering center c ij , usually using the Euclidean distance formula

[0205]

[0206] Assign the data point x i to the cluster to which the nearest clustering center belongs;

[0207] Recalculate the clustering center of each cluster, that is, for the jth cluster, the value of each dimension of the new clustering center c j is the average value of the corresponding dimension values of all data points in the cluster, that is Where N jis the number of data points in the j-th cluster;

[0208] Repeat the above steps of allocating data points and updating the cluster centers until the cluster centers no longer change significantly;

[0209] For the new data point x new , calculate its distances to each cluster center. If the distance to the nearest cluster center is greater than a certain set threshold, then determine that x new is an anomaly;

[0210] The fault prediction algorithm uses a time series analysis algorithm: Using the ARIMA model, model and analyze the historical monitoring data to predict the trend of future data; If the predicted value deviates significantly from the actual monitoring value, or the predicted trend shows that an abnormal change is about to occur, then give an early warning of the fault; The specific algorithm process includes:

[0211] Model establishment process:

[0212] Let the monitoring data sequence be {y t} where t = 1, 2,..., T;

[0213] First, perform a stationarity test on the data; If the data is non-stationary, it is necessary to perform differencing until the data becomes stationary; Let the number of differencing times be d;

[0214] Determine the autoregressive order p and the moving average order q of the ARIMA model;

[0215] The formula for establishing the ARIMA(p, d, q) model is:

[0216]

[0217] where is the autoregressive operator, θ(B) = 1 + θ1B + θ2B 2 +... + θ q B q is the moving average operator, B is the lag operator (i.e., B k y t = y t -k), ∈ t is a white noise sequence;

[0218] Prediction process:

[0219] Estimate the parameters and θ1, θ2,..., θ q of the ARIMA model, and the least squares method or the maximum likelihood estimation method can be used;

[0220] For the predicted value at the future time T + h, (h = 1, 2,...)It can be obtained through recursive calculation;

[0221] If the predicted value has a large deviation from the actual monitored value y T+h or the predicted trend indicates an upcoming abnormal change, a fault warning will be issued in advance.

[0222] In addition, the user terminal 6 adopts advanced wireless synchronization technology to achieve visual data analysis functions, such as Figures 5 - 8 as shown, which is specifically reflected in the following aspects:

[0223] Integrate weather forecast data to achieve automatic lighting control based on weather conditions; by obtaining the latest weather information, the system can intelligently adjust the lighting brightness and color according to the weather conditions, providing a lighting effect more suitable for the current weather conditions;

[0224] Introduce AI technology, and the system can automatically prompt the system status and key information; by using deep learning and machine learning algorithms, the system can analyze the operating status of the device and provide real-time system status feedback and key information prompts to users according to the set thresholds and rules, improving the perception and control of the device operation;

[0225] Introduce cloud control function, and the system can accurately control the switch of the lights according to the geographical location and weather data; by connecting to the cloud server, the system can obtain the current geographical location and weather data in real time, and then achieve intelligent and remote control of the lights according to the user's settings and requirements, improving the convenience of management and control of the lighting system;

[0226] Add a function to modify parameters in batches to improve the convenience and efficiency of device management; through this function, users can set or modify the parameters of multiple devices at one time, avoiding the cumbersome steps of setting one by one, improving the operation efficiency and convenience of device management, and saving a large amount of time and labor costs.

[0227] Application example:

[0228] First, it is necessary to conduct in-depth research on factors such as the road conditions, climate, and visibility of highways to determine parameters such as the installation location, quantity, and power of intelligent contour markers. At the same time, it is necessary to design reasonable angles, layouts, and specifications for solar panels to ensure sufficient solar energy can be obtained under different weather conditions. According to the design results, purchase suitable equipment such as solar panels, contour markers, and storage batteries. During the installation process, attention should be paid to factors such as the layout, angle, and height of the equipment to ensure the normal operation of the equipment and driving safety. After installation, it is necessary to debug and test the entire system to ensure the normal operation and performance of the equipment. This includes checking the power generation efficiency of solar panels, the energy storage effect of energy storage battery packs, the brightness of contour markers, the flashing frequency, etc. After the system is put into operation, regular maintenance and inspections are required, including cleaning solar panels, checking the status of energy storage battery packs, adjusting contour marker parameters, etc. At the same time, it is necessary to establish a perfect monitoring and alarm system to promptly detect and handle possible problems. After the system has been running for a period of time, it is necessary to evaluate the entire system, including the performance of the equipment, the operation effect, and the economic benefits. According to the evaluation results, the system can be optimized and improved to improve the efficiency and performance of the equipment. During the specific implementation process, adjustments and optimizations need to be made according to the actual situation. At the same time, attention should be paid to issues such as the selection, installation, operation, and maintenance of the equipment to ensure the normal operation of the system and driving safety.

[0229] Test implementation example:

[0230] (1) Test purpose

[0231] The purpose is to evaluate the performance of the intelligent contour marker system, including aspects such as illumination brightness, stability, durability, and safety.

[0232] (2) Test environment

[0233] 1. Climate conditions: Conduct tests under various climate conditions, including sunny days, cloudy days, foggy days, rainy days, etc.;

[0234] 2. Road conditions: Conduct tests on different sections of the highway, including straight sections, curved sections, uphill and downhill sections, etc.

[0235] (3) Test items

[0236] 1. Illumination performance test: Measure parameters such as the illuminance, uniformity, and color temperature of solar contour markers to ensure they meet road lighting requirements;

[0237] 2. Stability test: Conduct a long-term operation test to evaluate the stability and reliability of the system;

[0238] 3. Durability test: Simulate operation under harsh environmental conditions to test the durability of the system;

[0239] 4. Safety tests: Evaluate aspects such as the electrical safety, fire resistance performance, and protection level of the system.

[0240] (4) Test methods

[0241] 1. Lighting performance test: Use instruments such as illuminometers and color temperature meters to conduct on-site measurements under different climatic and road conditions;

[0242] 2. Stability test: Observe the working state of the system by continuous long-term operation and record abnormal situations;

[0243] 3. Durability test: Simulate operation under harsh environmental conditions such as high temperature, low temperature, humidity, and salt spray, and check for damage to the system;

[0244] 4. Safety tests: Check the electrical safety performance of the system, such as insulation resistance and grounding resistance; conduct fire resistance performance tests, such as burning speed and smoke density; evaluate the protection level of the system, such as waterproof and dustproof.

[0245] (5) Test cycle and frequency

[0246] Determine the test cycle and frequency according to actual requirements. It is recommended to conduct a comprehensive test once every quarter to ensure the normal operation of the system.

[0247] (6) Analysis and report of test results

[0248] Statistically analyze the test results and prepare a test report. The report should include contents such as test purpose, environment, items, methods, results, and conclusions. At the same time, put forward improvement opinions and suggestions to provide reference for the optimization and upgrade of the system.

[0249] In summary, the test plan should be comprehensive, rigorous, and meticulous to ensure the performance, stability, and safety of the system. Through testing, problems can be discovered and solved in a timely manner, providing strong guarantee for the safe operation of the highway.

[0250] Those of ordinary skill in the art can understand that the process of implementing all or part of the steps of the above embodiments can be completed by hardware or by a program instructing relevant hardware.

[0251] The above shows and describes the basic principles, main features, and advantages of the present invention. Those skilled in the art of this industry should understand that the present invention is not limited by the above embodiments. The above embodiments and the descriptions in the specification are only preferred examples of the present invention and are not used to limit the present invention. Without departing from the spirit and scope of the present invention, the present invention will have various changes and improvements, and these changes and improvements all fall within the scope of the present invention claimed. The scope of protection claimed by the present invention is defined by the appended claims and their equivalents.

Claims

1. The wireless synchronous dynamic active light-emitting multifunctional intelligent profile marker based on green power generation energy storage is characterized in that Including: The contour marker module (1) is used to implement physical marking, static indication, and intelligent dynamic warning functions. It includes several unit contour marker plates regularly arranged on the same mounting frame panel. A number of LED guiding lamp beads are matrix-embedded on the unit contour marker plates, and several unit contour marker plates can achieve different-shaped light displays according to programming; The sensor module (2) is used to real-time monitor the environmental parameters within a certain range where the contour marker module (1) is located; The built-in control board (3) is used to load the control system. The control system combines the monitoring data collected by the sensor module (2), combines the real-time weather conditions obtained from the cloud, accurately calculates the real-time visibility through built-in algorithms, and automatically selects the optimal control strategy according to the specific environmental conditions, and drives the contour marker module (1) to perform active light warning operations; The communication module (4), based on wireless communication technology, realizes data transmission and information interconnection among the contour marker module (1), the sensor module (2), the built-in control board (3), the cloud platform, the user terminal (6), and the real-time navigation system; The power supply system (5), based on photovoltaic power generation technology, supplies power to the contour marker module (1), the sensor module (2), the built-in control board (3), and the communication module (4); it includes a solar panel installed at the top of the mounting frame and an energy storage battery pack buried underground at the bottom of the mounting frame; The user terminal (6) is information-associated with the control system through wireless communication technology to realize the intuitive display of real-time data and provide an interactive platform for managers to achieve remote control and parameter adjustment.

2. The wireless synchronous dynamic active light-emitting multifunctional intelligent profile marker based on green power generation energy storage according to claim 1, characterized in that: The sensor module (2) at least includes a temperature sensor, a humidity sensor, an illuminance sensor, a camera assembly, a lidar, a locator, a photosensitive sensor, and a voltage detector; among them: The temperature sensor is used to real-time monitor the environmental temperature around the intelligent contour marker and the operating temperature of the energy storage battery pack; The humidity sensor is used to real-time monitor the environmental humidity around the intelligent contour marker; The illuminance sensor is used to real-time measure the illuminance of natural daylighting; The camera assembly obtains the environmental image around the intelligent contour marker and is used to judge the current weather conditions in the area where it is located through vision technology; The lidar is used to measure and calculate the atmospheric extinction coefficient through laser pulse technology, so as to calculate the visibility using the meteorological optical range formula; The locator is used to locate the specific position coordinates of the area where the intelligent contour marker is located, feedback to the cloud, and connect to the Internet through wireless communication technology to real-time obtain the local weather forecast information; The photosensitive sensor immediately detects the current light intensity and combines with the standard time synchronization clock built in the control system to judge the sunrise and sunset conditions; The voltage detector is used to real-time monitor the working voltage of the LED guiding lamp beads on the contour marker module (1).

3. The wireless synchronous dynamic active light-emitting multifunctional intelligent profile marker based on green power generation energy storage according to claim 2, characterized in that: The control system includes an algorithm management module (31), a data processing module (32), a control strategy module (33), and a device monitoring module (34) that are sequentially communicatively connected; among them: The algorithm management module (31) is used to write and place various algorithms involved in system management, including visibility calculation algorithms, big data analysis algorithms, and machine learning algorithms; The data processing module (32) is used to process the real-time acquisition data obtained from the sensor module (2) and the data obtained from the Internet, and apply the processed data to system management; The control strategy module (33) is used to set a variety of intelligent contour marker active lighting strategies that need to be applied under different visibility and different weather conditions for the system management to automatically select and switch to execute; The device monitoring module (34) is used to monitor and manage the operating status of all basic devices in the intelligent contour marker, and feedback to the user terminal (6) in real time when a device fails.

4. The wireless synchronous dynamic active light-emitting multifunctional intelligent contour marker based on green power generation energy storage according to claim 3, characterized in that, The specific visibility calculation algorithm is as follows: First, use the meteorological optical range (MOR) calculation method, which calculates according to the extinction coefficient of the atmosphere. The scattering and absorption of light by the atmosphere will cause the intensity of light to gradually weaken during propagation. The visibility is determined by measuring the attenuation degree of light intensity. The calculation formula is: Among them, MOR is the meteorological optical range, with the unit of m; σ is the atmospheric extinction coefficient, with the unit of m -1 ; Second, use the lidar method. By emitting laser pulses into the atmosphere with a lidar, when the laser propagates in the atmosphere, it will interact with gas molecules and aerosol particles in the atmosphere, generating scattering and reflection. By receiving and analyzing the returned laser signals, information on the distribution and characteristics of particles in the atmosphere is obtained, and then the atmospheric extinction coefficient is calculated. Then, the visibility is calculated according to the formula of the meteorological optical range; the formula of the lidar equation is: Among them, P(r) is the backscattering signal at different distances r, P0 is the power of the emitted laser, c is the speed of light, τ is the laser pulse width, A is the area of the receiving telescope, and β(r) is the atmospheric backscattering coefficient; σ(s) is the atmospheric extinction coefficient, s is an integration variable, which represents the distance variable on the laser propagation path, and the integral is the integration of the atmospheric extinction coefficient σ(s) from the laser emission point s = 0 to the distance r; Then, by analyzing the backscattering signal and using an algorithm to inversely calculate the atmospheric extinction coefficient σ, and finally calculate the visibility according to ​ 5. The wireless synchronous dynamic active light-emitting multifunctional intelligent profile marker based on green power generation energy storage according to claim 4, characterized in that: The visibility calculation algorithm also includes the empirical formula method. The empirical formula method includes the Koschmieder formula, the Angstrom empirical correction formula, the contrast visual threshold related formula, and the formula based on luminous flux; according to the environmental parameters collected by the sensor module (2), the Koschmieder formula is selected. The specific algorithm is: Through statistical analysis of a large amount of meteorological data and visibility observation data, an empirical relationship between visibility and meteorological elements is established, and these empirical formulas are used to estimate the visibility; the formula is: Among them, V is the visibility, the unit is m; RH is the relative humidity; p is the atmospheric pressure, the unit is hectopascal; T is the temperature, the unit is Kelvin; At the same time, the Allard's law is used to calculate the night visibility. Allard is the basis for measuring night visibility. Night visibility usually refers to the maximum distance at which an unfocused luminous body can be clearly seen. Therefore, night visibility is also called light visibility; the calculation formula is: Among them, E is the illuminance, I is the luminous intensity of the light source, d is the distance from the observation point to the light source, that is, the light visibility, Q is the extinction coefficient, and e is the base of the natural logarithm.

6. The wireless synchronous dynamic active light-emitting multi-functional intelligent profile marker based on green power generation energy storage according to claim 5, characterized in that: Based on the weighted average algorithm, combine the meteorological optical range (MOR) calculation method and the empirical formula method or Allard's law to improve the calculation accuracy of visibility. The specific algorithm is: Daytime visibility calculation: Nighttime visibility calculation: Among them, V 日间 is the optimized daytime visibility, a is the daytime proportion weight of the meteorological optical range, and b is the proportion weight of the daytime visibility calculated by the empirical formula method; V 夜间 is the optimized nighttime visibility, c is the nighttime proportion weight of the meteorological optical range, and e is the proportion weight of the visibility of lights; Then, through data comparison, map the calculated visibility value to the pre-divided visibility levels for the subsequent execution of control strategies; among them, the visibility levels include: Level 1 visibility - High daytime visibility: Visibility value V 日间 ≥ 20 km; Second-level visibility - General daytime visibility: Visibility value 10 km ≤ V 日间 < 20 km; Level 3 visibility - Low visibility during the day: Visibility value 1 km ≤ V 日间 < 10 km; Fourth level visibility - Extremely low visibility during daytime: Visibility value V 日间 < 1 km.

7. The wireless synchronous dynamic active light-emitting multifunctional intelligent profile marker based on green power generation energy storage according to claim 6, characterized in that: The specific operation process of the data processing module (32) includes the following steps: S32.

1. Data acquisition: Obtain the ambient parameter data around the intelligent contour marker collected in real time from the sensor module (2), and at the same time obtain the real-time weather forecast data of the location of the intelligent contour marker from the Internet; S32.

2. Data transmission: Transmit the obtained data to the control system installed on the built-in control board (3); S32.

3. Data preprocessing: Clean, convert the format and standardize the obtained data; S32.

4. Data classification and storage: Store the preprocessed data in the storage element of the built-in control board (3) for subsequent use; S32.

5. Data application: Further process and analyze the preprocessed data, including data processing, data analysis and data visualization, and apply the processed data to the operation process of the intelligent contour marker; S32.

6. Data statistical analysis: Classify and save all the associated information in the whole process of data application into the storage element, which is used as the basic data source for data learning and the reference basis for operation and maintenance management.

8. The wireless synchronous dynamic active light-emitting multi-functional intelligent profile marker based on green power generation energy storage according to claim 7, characterized in that: The control functions of the control strategy module (33) include lighting on / off, deformation display, flash frequency / brightness adjustment; The lighting on / off is used to automatically execute the operation of lighting on or off according to the current ambient visibility and day / night period; The deformation display is used to light up the corresponding lights in the icon shape programmed in advance according to the current judged weather condition; The flash frequency / brightness adjustment is used to automatically execute the preset lighting flash frequency and lighting brightness operation of the corresponding level according to the current judged visibility level.

9. The wireless synchronous dynamic active light-emitting multi-functional intelligent contour marker based on green power generation energy storage according to claim 8, characterized in that: The strategies set in the control strategy module (33) at least include: high visibility mode, daytime low visibility mode, night mode, rain / fog / snow weather mode, tunnel entrance mode, speed limit reminder mode. The specific control strategies are as follows: High visibility mode: Jointly judge through the illuminance sensor, camera module, photosensitive sensor and standard time synchronization clock that it is daytime and not rainy / snowy / foggy weather at present, and at the same time the visibility level is level one, then the lights of the contour marker module (1) remain off, and the passive reflective function of each unit contour marker plate body is retained; Daytime low visibility mode: Jointly judge through the illuminance sensor, camera module, photosensitive sensor and standard time synchronization clock that it is daytime and not rainy / snowy / foggy weather at present, and at the same time the visibility level is level two, then one-third of the lights of the contour marker module (1) light up with normal brightness, remain on or flash once every 1 - 5 minutes; Night mode: Jointly judge through the illuminance sensor, camera module, photosensitive sensor and standard time synchronization clock that it is night at present, then the lights of the contour marker module (1) light up all with high brightness, remain on or flash once every 30 - 60 seconds; Rain / fog / snow weather mode: Jointly judge through the locator, real-time weather forecast data, humidity sensor and camera module that it is rainy / snowy / foggy weather at present, and at the same time the visibility level is level two, then the lights of the contour marker module (1) light up in the corresponding graphics of rain / snow / fog programmed in advance with normal brightness, remain on or flash once every 15 - 30 seconds; When it is jointly determined that the current weather is rain / snow / fog and the visibility level is level three, the lights of the contour marker module (1) will light up in high brightness according to the rain / snow / fog corresponding graphics programmed in advance, and a circle of contours will light up at the edge of the contour marker module (1) outside the corresponding graphics, remaining constantly on or flashing once every 5 - 10 s; Tunnel entrance mode: By means of the locator and the camera component, it is judged that the current intelligent contour marker is located at the tunnel entrance and the visibility degree is lower than level one, then the lights of the contour marker module (1) will light up in high brightness according to the tunnel sign graphics programmed in advance, flashing once every 1 - 3 s; Speed limit reminder mode: When it is calculated that the current visibility is level four and lower, the data will be fed back to the user terminal (6) and the traffic management department at the same time. After receiving the speed limit instruction issued by the traffic management department, the lights of the contour marker module (1) will light up in high brightness according to the numerical graphics of the speed limit, flashing once every 1 - 3 s.

10. The wireless synchronous dynamic active light-emitting multifunctional intelligent profile marker based on green power generation energy storage according to claim 9, characterized in that: The device monitoring module (34) monitors the operation process of the intelligent contour marker based on the data anomaly detection algorithm and the fault prediction algorithm; Among them, the data anomaly detection algorithm adopts the machine learning algorithm: using the clustering algorithm, the monitoring data in the normal operation state is subjected to clustering analysis to form a normal data cluster; when the new data point is far from these normal clusters, it is judged as abnormal; using the K-Means algorithm, the algorithm process is as follows: Let the monitoring data be an n-dimensional vector set \(X = \{x_1, x_2, \ldots, x\) m \}, where \(x\) i = \{x i1 , x i2 , \ldots, x in \}; Randomly select K initial cluster centers C = {c1, c2,..., c K}, where c j = {c j1 , c j2 ,..., c jn}, j = 1, 2,..., K; For each data point x i , calculate its distance d j to each cluster center c ij , usually using the Euclidean distance formula Assign the data point x i to the cluster to which the nearest cluster center belongs; Recalculate the cluster center of each cluster, that is, for the j-th cluster, the value of each dimension of the new cluster center c j is the average value of the corresponding dimension values of all data points in the cluster, that is where N j is the number of data points in the j-th cluster; Repeat the above steps of allocating data points and updating the clustering center until the clustering center no longer changes significantly; For the new data point x new , calculate its distances to each cluster center. If the distance from it to the nearest cluster center is greater than a certain set threshold, then determine that x new is an anomaly; The fault prediction algorithm adopts the time series analysis algorithm: using the ARIMA model, the historical monitoring data is modeled and analyzed to predict the trend of future data; if the predicted value deviates greatly from the actual monitoring value, or the predicted trend shows that an abnormal change is about to occur, a fault will be pre-warned in advance; the specific algorithm process includes: Model establishment process: Let the monitoring data sequence be {y t}, where t = 1, 2, ..., T; First, perform a stationarity test on the data; if the data is non-stationary, it is necessary to perform differencing processing until the data is stationary; let the number of differencing times be d; Determine the autoregressive order p and the moving average order q of the ARIMA model; The formula for establishing the ARIMA(p, d, q) model is: Among them is an autoregressive operator, θ(B) = 1 + θ1B + θ2B 2 +... + θ q B q is a moving average operator, B is a lag operator (i.e., B k y t = y t -k), ∈ t is a white noise sequence; Prediction process: Estimate the parameters of the ARIMA model and θ1, θ2, ..., θ q , the least squares method or the maximum likelihood estimation method can be used; The predicted value for future time T+h, (h = 1, 2,...) can be obtained through recursive calculation; If the predicted value has a large deviation from the actual monitored value y T+h or the predicted trend indicates an upcoming abnormal change, a fault warning is issued in advance.

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