Equipment power supply grading method based on function importance of intelligent network connection road

Abstract

The invention belongs to the technical field of intelligent network connection roads, and particularly relates to an equipment power supply grading method based on function importance of the intelligent network connection roads. Comprising the following steps: acquiring multiple intelligent network connection road function importance indexes and the participation condition of each intelligent network connection device; a pairwise comparison method is used for each index, and a weight matrix of each index is established; rating each index of each function of the intelligent network connection road by adopting a preset evaluation method; mapping each rating result into a quantized value; performing weighted summation on the quantized values to obtain an intelligent network connection road function importance index; calculating the importance index of each intelligent network connection device according to the importance index and the participation condition of the intelligent network connection device; clustering is carried out according to the importance index, and the intelligent network connection equipment is graded; through systematic evaluation indexes, scientific and reasonable weight distribution, accurate quantitative evaluation and optimized resource distribution, powerful technical support and theoretical basis are provided for intelligent network connection equipment power supply management and optimization.

Description

Technical Field

[0001] The present invention belongs to the technical field of intelligent connected roads, and in particular relates to a method for classifying equipment power supply levels based on the importance of intelligent connected road functions. Background Art

[0002] With the rapid development of intelligent connected roads, intelligent connected devices are playing an increasingly important role in traffic management, road safety and driving experience. Intelligent connected devices include roadside RSU, 5G base stations, RTK base stations, cameras, lidar, millimeter wave radar, etc. These devices improve the intelligence and automation level of the transportation system through real-time data exchange and collaborative work. However, with the intensification of global climate change, the frequency of extreme weather events has increased year by year, resulting in a large number of power outages. The normal operation of intelligent connected roads faces severe challenges. Some intelligent connected devices may lose their functions due to power outages, which directly affects traffic management, road safety and driving experience. Therefore, in the case of limited emergency power supply resources, it is particularly important to reasonably and accurately classify intelligent connected devices to ensure that key equipment is restored to power first in emergency situations. However, the existing intelligent connected device management lacks the classification of intelligent connected devices, which is extremely unfavorable for the emergency recovery of intelligent connected road functions.

[0003] The existing intelligent network equipment management system lacks a systematic and scientific method for evaluating and grading the importance of equipment. Most management methods only consider the technical indicators or economic benefits of the equipment, and fail to comprehensively evaluate the actual importance of the equipment in different road functions. These defects limit the response capacity of intelligent network roads in the face of emergencies and reduce the reliability and safety of the overall transportation system. Summary of the invention

[0004] The purpose of the present invention is to provide a method for classifying equipment power supply levels based on the importance of intelligent connected road functions, so as to solve the technical problem of lack of systematic and scientific equipment importance evaluation and classification in the existing intelligent connected equipment management system.

[0005] In order to achieve the above object, the present invention adopts the following technical solutions: A method for classifying equipment power supply levels based on the importance of intelligent connected road functions, comprising: Obtain multiple indicators that reflect the importance of intelligent connected road functions and the participation of each intelligent connected device in the intelligent connected road function; and use the paired comparison method for each indicator to establish a weight matrix for each indicator; Using a preset evaluation method, the various indicators of various functions of the intelligent connected road are rated to obtain rating results; and a fixed value assignment method is used to map each rating result into a quantitative value; The importance index of intelligent connected road functions is obtained by weighted summing of the quantitative values ​​of the rating results; Calculate the importance index of each intelligent connected road function and the participation of intelligent connected equipment in the intelligent connected road function; According to the importance index of each intelligent connected device, the agglomerative hierarchical clustering method is used to cluster and divide the intelligent connected devices into levels.

[0006] Preferably, the indicators reflecting the importance of intelligent connected road functions include: driving safety, driving efficiency and driving experience; The paired comparison method is used for each indicator to establish a weight matrix for each indicator, which is specifically: Compare the three indicators of driving safety, driving efficiency and driving experience in pairs and assign scoring values; Normalization processing: standardize each element in the pairwise comparison matrix so that the sum of the elements in each column is equal to 1; The weight vector of each indicator is calculated through the normalized pairwise comparison matrix to obtain the weight matrix of each indicator.

[0007] Preferably, the preset evaluation method is used to rate the indicators of the functions of the intelligent connected road into five levels: excellent, good, medium, general, and poor; The fixed value assignment method is used to map each rating result into a quantitative value, specifically: excellent corresponds to 5 points, good corresponds to 4 points, medium corresponds to 3 points, general corresponds to 2 points, and poor corresponds to 1 point.

[0008] Preferably, the weighted summation of the quantitative values ​​of the rating results to obtain the intelligent connected road function importance index is specifically: The quantitative values ​​of the rating results are multiplied by the corresponding indicator weights and summed to obtain the original comprehensive score of each function; The comprehensive score of each function is normalized so that the range of the comprehensive score is between 0 and 1, and the normalized comprehensive score is used as the importance index of the intelligent connected road function.

[0009] Preferably, the calculating the importance index of each intelligent connected road device according to the importance index of each intelligent connected road function and the participation of the intelligent connected device in the intelligent connected road function includes: According to the participation of intelligent networked devices in the intelligent networked road function, a device participation table is established, and normalized to obtain the device participation; The importance index of intelligent connected road functions is assigned weights to the device participation of intelligent connected devices in the intelligent connected road functions, and the importance of intelligent connected devices is calculated through the weighted sum method.

[0010] Preferably, the normalization formula of the device participation obtained by the normalization process is as follows:

[0011] in, For the normalized device Device engagement, For equipment Number of participating intelligent connected road functions, is the total number of intelligent connected road functions; The weighted summation method is used to calculate the importance of intelligent networked devices. The specific formula is as follows:

[0012] in, For equipment The equipment importance index, To reflect the importance of intelligent connected road functions, To reflect the weight of the participation of intelligent connected devices in intelligent connected roads, For equipment Participating intelligent connected road functions, is the total number of intelligent connected road functions in the embodiment, For equipment Device engagement.

[0013] Preferably, clustering is performed using an agglomerative hierarchical clustering method according to the importance index of each intelligent network-connected device to divide the level of the intelligent network-connected devices, specifically including: According to the importance index of each intelligent networked device, the similarity matrix between intelligent networked devices is constructed using Euclidean distance; The full-chain method is used to cluster the similarity matrix between intelligent connected devices. According to the clustering results, the intelligent connected devices are divided into four levels: primary, secondary, tertiary and tertiary.

[0014] A system for classifying equipment power supply levels based on the importance of intelligent connected road functions, comprising: An acquisition unit is used to acquire multiple indicators reflecting the importance of the intelligent connected road function and the participation of each intelligent connected device in the intelligent connected road function; and use a paired comparison method for each indicator to establish a weight matrix for each indicator; A quantification unit is used to rate various indicators of various functions of the intelligent connected road using a preset evaluation method to obtain a rating result; and to map each rating result into a quantitative value using a fixed value assignment method; A first calculation unit is used to obtain an intelligent connected road function importance index by weighted summing of the quantified values ​​of the rating results; A second calculation unit is used to calculate the importance index of each intelligent connected road device according to the importance index of each intelligent connected road function and the participation of the intelligent connected device in the intelligent connected road function; The division unit is used to perform clustering according to the importance index of each intelligent network-connected device using an agglomerative hierarchical clustering method to divide the intelligent network-connected devices into levels.

[0015] An electronic device comprises a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of any one of the above-mentioned methods for classifying equipment power supply levels based on the importance of intelligent connected road functions when executing the computer program.

[0016] A computer-readable storage medium stores a computer program, which, when executed by a processor, implements the steps of any of the above-mentioned methods for classifying equipment power supply levels based on the importance of intelligent connected road functions.

[0017] Compared with the prior art, the present invention has the following beneficial effects: First, the present invention comprehensively evaluates the importance of intelligent connected road functions by selecting multiple indicators that reflect the importance of intelligent connected road functions. The multi-dimensional evaluation method ensures the comprehensiveness and scientificity of the evaluation results, and can more accurately reflect the actual importance of intelligent connected road functions.

[0018] Second, the present invention uses the paired comparison method to establish the weight matrix of each indicator. Through the scientific integration of expert opinions and statistical data, the relative importance of each indicator can be accurately measured, thereby significantly improving the reliability and accuracy of the evaluation results.

[0019] Third, the present invention combines the expert evaluation method and the fixed assignment method, maps the expert rating results of each function into a quantitative value, and obtains the function importance index through weighted summation, which not only gives play to the expert's experience and professional knowledge, but also improves the objectivity of the evaluation through quantitative analysis.

[0020] Fourth, the present invention calculates the importance index of each intelligent connected road function by weighted summation of the quantified values, comprehensively considers the three indicators of driving safety, driving efficiency and driving experience, provides an objective evaluation result, and provides a scientific basis for the subsequent equipment level classification.

[0021] Fifth, this method counts the participation of each intelligent connected device in the intelligent connected road function and performs normalization, so that the device participation can be quantified and measured, which provides a basis for subsequent comparison and data processing and ensures the accuracy and objectivity of the equipment importance assessment.

[0022] Sixth, this method uses the agglomerative hierarchical clustering method of Euclidean distance and full-chain method to divide the intelligent connected devices into four categories: primary, secondary, tertiary, and quaternary. It can effectively reflect the differences in the importance of devices and provide clear guidance for the management and resource allocation of intelligent connected devices.

[0023] The method for classifying the power supply levels of intelligent networked devices of the present invention provides strong technical support and theoretical basis for the power supply management and optimization of intelligent networked devices through systematic evaluation indicators, scientific and reasonable weight allocation, accurate quantitative evaluation and optimized resource allocation, and helps to realize a more efficient and safer intelligent networked road system. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for use in the embodiments are briefly introduced below. It should be understood that the following drawings only show certain embodiments of the present invention and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without creative work.

[0025] Figure 1 is a flow chart of the method of the present invention; Figure 2 is a flow chart of a method according to an embodiment of the present invention; Figure 3 This is a clustering tree diagram of intelligent network-connected devices according to an embodiment of the present invention. DETAILED DESCRIPTION

[0026] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Generally, the components of the embodiments of the present invention described and shown in the drawings here can be arranged and designed in various different configurations.

[0027] Therefore, the following detailed description of the embodiments of the present invention provided in the accompanying drawings is not intended to limit the scope of the invention claimed for protection, but merely represents selected embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0028] It should be noted that similar reference numerals and letters denote similar items in the following drawings, and therefore, once an item is defined in one drawing, further definition and explanation thereof is not required in subsequent drawings.

[0029] In the description of the embodiments of the present invention, it should be noted that if the terms "upper", "lower", "horizontal", "inner", etc. indicate an orientation or positional relationship based on the orientation or positional relationship shown in the drawings, or the orientation or positional relationship in which the product of the invention is usually placed when in use, it is only for the convenience of describing the present invention and simplifying the description, and does not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as a limitation on the present invention. In addition, the terms "first", "second", etc. are only used to distinguish the description, and cannot be understood as indicating or implying relative importance.

[0030] In addition, if the term "horizontal" appears, it does not mean that the component must be absolutely horizontal, but can be slightly tilted. For example, "horizontal" only means that its direction is more horizontal than "vertical", which does not mean that the structure must be completely horizontal, but can be slightly tilted.

[0031] In the description of the embodiments of the present invention, it is also necessary to explain that, unless otherwise clearly specified and limited, the terms "set", "install", "connect", and "connect" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal connection of two components. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0032] The present invention is further described in detail below in conjunction with the accompanying drawings: See also Figure 1 The present application discloses a method for classifying equipment power supply levels based on the importance of intelligent connected road functions, including: S1: Obtain multiple indicators that reflect the importance of intelligent connected road functions and the participation of each intelligent connected device in the intelligent connected road function; use the paired comparison method for each indicator to establish a weight matrix for each indicator; by selecting multiple indicators that reflect the importance of intelligent connected road functions, the importance of intelligent connected road functions is comprehensively evaluated. The multi-dimensional evaluation method ensures the comprehensiveness and scientificity of the evaluation results and can more accurately reflect the actual importance of intelligent connected road functions. The paired comparison method is used to establish a weight matrix for each indicator. Through the scientific integration of expert opinions and statistical data, the relative importance of each indicator can be accurately measured, thereby significantly improving the reliability and accuracy of the evaluation results.

[0033] S2: Using a preset evaluation method, rating each indicator of each function of the intelligent connected road to obtain a rating result; and using a fixed value assignment method to map each rating result into a quantitative value; S3: The importance index of intelligent connected road functions is obtained by weighted summing of the quantitative values ​​of the rating results. The importance index of each intelligent connected road function is calculated by weighted summing of the quantitative values, which comprehensively considers multiple indicators and provides an objective evaluation result, providing a scientific basis for the subsequent equipment level classification. S4: Calculate the importance index of each intelligent connected road function and the participation of each intelligent connected device in the intelligent connected road function; Count the participation of each intelligent connected device in the intelligent connected road function and perform normalization so that the device participation can be quantified, which provides a basis for subsequent comparison and data processing and ensures the accuracy and objectivity of the device importance assessment; S5: Cluster the importance index of each intelligent networked device using the agglomerative hierarchical clustering method to classify the intelligent networked devices. Using the agglomerative hierarchical clustering method, the intelligent networked devices are divided into four categories: primary, secondary, tertiary, and tertiary, which can effectively reflect the importance differences of the devices and provide clear guidance for the management and resource allocation of intelligent networked devices.

[0034] In some embodiments, the preset evaluation method is an expert evaluation method, and the expert evaluation method is used to rate each indicator of each function. The present invention combines the expert evaluation method with the fixed value assignment method, maps the expert's rating results of each function into a quantitative value, and obtains the importance index of the function through weighted summation, which not only gives play to the experience and professional knowledge of the experts, but also improves the objectivity of the evaluation through quantitative analysis.

[0035] In some embodiments, the indicators reflecting the importance of the intelligent connected road function include: driving safety, driving efficiency and driving experience; The paired comparison method is used for each indicator to establish a weight matrix for each indicator, which is specifically: Compare the three indicators of driving safety, driving efficiency and driving experience in pairs and assign scoring values; pairwise comparison matrix As shown below, the indicators represented from left to right and from top to bottom in the matrix are driving safety, driving efficiency, and driving experience: (the weights are given according to the qualitative judgment of driving safety > driving efficiency > driving experience).

[0036]

[0037] Normalization processing: standardize each element in the pairwise comparison matrix so that the sum of the elements in each column is equal to 1; The weight vector of each indicator is calculated through the normalized pairwise comparison matrix to obtain the weight matrix of each indicator.

[0038] In some embodiments, the preset evaluation method, that is, the expert evaluation method, is used to rate the indicators of various functions of the intelligent connected road into five levels: excellent, good, medium, general, and poor; The fixed value assignment method is used to map each rating result into a quantitative value, specifically: excellent corresponds to 5 points, good corresponds to 4 points, medium corresponds to 3 points, general corresponds to 2 points, and poor corresponds to 1 point.

[0039] In some embodiments, the weighted sum of the quantized values ​​of the rating results to obtain the intelligent connected road function importance index is specifically: The quantitative values ​​of the rating results are multiplied by the corresponding indicator weights and summed to obtain the original comprehensive score of each function; the quantitative values ​​of the functional ratings of each intelligent connected road function in the three indicators of driving safety, driving efficiency, and driving experience are multiplied by the corresponding indicator weights and summed to obtain the original comprehensive score of each function :

[0040] in It is the driving safety weight; It is the quantitative value of the driving safety rating result; is the driving efficiency weight; It is the quantitative value of the driving efficiency rating result; Weight for driving experience; It is a quantitative value of the driving experience rating result.

[0041] The comprehensive score of each function is normalized so that the comprehensive score ranges from 0 to 1, and the normalized comprehensive score is used as the importance index of the intelligent connected road function. The normalization formula is as follows:

[0042] in, This is the original composite score.

[0043] In some embodiments, the calculating the importance index of each intelligent connected road function according to the importance index of each intelligent connected road function and the participation of the intelligent connected device in the intelligent connected road function includes: According to the participation of intelligent networked devices in the intelligent networked road function, a device participation table is established, and normalized to obtain the device participation; Preferably, the normalization formula of the device participation obtained by the normalization process is as follows:

[0044] in, For the normalized device Device engagement, For equipment Number of participating intelligent connected road functions, is the total number of intelligent connected road functions; The importance index of intelligent connected road functions is assigned weights to the device participation of intelligent connected devices in the intelligent connected road functions, and the importance of intelligent connected devices is calculated through the weighted sum method.

[0045] Preferably, the weighted summation method calculates the importance of intelligent networked devices, and the specific formula is as follows:

[0046] in, For equipment The equipment importance index, To reflect the importance of intelligent connected road functions, To reflect the weight of the participation of intelligent connected devices in intelligent connected roads, For equipment Participating intelligent connected road functions, is the total number of intelligent connected road functions in the embodiment, For equipment device engagement.

[0047] In some embodiments, clustering is performed using an agglomerative hierarchical clustering method according to the importance index of each intelligent network-connected device to divide the level of the intelligent network-connected devices, specifically including: According to the importance index of each intelligent networked device, the similarity matrix between intelligent networked devices is constructed using Euclidean distance; The full-chain method is used to cluster the similarity matrix between intelligent connected devices. According to the clustering results, the intelligent connected devices are divided into four levels: primary, secondary, tertiary and tertiary.

[0048] The present invention proposes a method for classifying equipment power supply levels based on the importance of intelligent networked road functions. This method not only comprehensively considers the performance of intelligent networked equipment in terms of driving safety, driving efficiency, and driving experience, but also introduces expert evaluation and weighted summation methods to ensure the scientificity and accuracy of the evaluation results. In addition, this method also uses a hierarchical clustering algorithm to make the equipment classification more reasonable and operational, which can provide an important basis for emergency management and resource allocation of intelligent networked equipment.

[0049] In some embodiments, a method for classifying equipment power supply levels based on the importance of intelligent connected road functions includes the following steps: Step 1: Analyze the functions of intelligent connected roads and select multiple indicators that reflect the importance of the functions. This method selects three indicators, namely driving safety, driving efficiency, and driving experience, to evaluate the importance of the functions of intelligent connected roads. Among them, driving safety is mainly evaluated from the aspects of the impact of intelligent connected road functions on traffic accident rates and the impact on the severity of potential traffic accident hazards; driving efficiency is mainly evaluated from the impact of intelligent connected road functions on road capacity, vehicle speed, and traffic congestion; driving experience is mainly evaluated from the impact of intelligent connected road functions on the convenience of obtaining road information and the convenience of supporting vehicle services.

[0050] Step 2: Use the paired comparison method to establish the weight matrix of each indicator. First, construct a paired comparison matrix, and compare the three indicators of driving safety, driving efficiency, and driving experience in pairs according to expert opinions or statistical data, and assign specific scoring values. Secondly, normalize the elements in the paired comparison matrix so that the sum of the elements in each column is equal to 1. Thirdly, calculate the weight vector. Through the normalized paired comparison matrix, calculate the weight vector of each indicator to indicate the relative importance of each indicator in the overall evaluation.

[0051] Step 3: Use the expert evaluation method to rate each indicator of each function. Rating the performance of each function of the intelligent connected road in terms of driving safety, driving efficiency, and driving experience is divided into five levels: excellent, good, medium, general, and poor, forming a function rating table.

[0052] Step 4: Use a fixed value assignment method to map the rating results of each intelligent network function indicator into a quantitative value. Excellent corresponds to 5 points, good corresponds to 4 points, medium corresponds to 3 points, general corresponds to 2 points, and poor corresponds to 1 point. The expert rating results of each function on the three indicators of driving safety, driving efficiency, and driving experience are converted into specific quantitative values ​​to form a function evaluation quantitative matrix.

[0053] Step 5, obtain the importance index of the intelligent connected road function by weighted summation of the indicator values. According to the weight vectors of each indicator calculated in step 2, the function evaluation quantization matrix obtained in step 4 is weighted and summed. Multiply the quantified values ​​of each intelligent connected road function in the three indicators of driving safety, driving efficiency, and driving experience by the corresponding weights, and then sum them to obtain the comprehensive score of each function. To facilitate comparison and analysis, the comprehensive score of each function is normalized so that the range of the comprehensive score is between 0 and 1. The normalized comprehensive score is used as the importance index of the intelligent connected road function. This index reflects the relative importance of each function after comprehensively considering the three indicators of driving safety, driving efficiency, and driving experience.

[0054] Step 6: Count the participation of each intelligent connected device in the intelligent connected road function. Create a device participation table and perform normalization so that the range of intelligent connected device participation is between 0 and 1, so as to better quantify the participation of each device in the intelligent connected road and facilitate subsequent comparison and data processing.

[0055] Step 7: Calculate the importance index of each intelligent connected device based on the importance of each intelligent connected road function and the participation of each device. In order to make the importance index of intelligent connected devices fully reflect the importance of the intelligent connected road functions in which the devices participate and the participation of intelligent connected devices in the intelligent connected roads, this method adopts a weighted summation method to assign weights to the importance index of intelligent connected functions and the participation of intelligent connected devices, and calculate the importance index of each intelligent connected device.

[0056] Step 8: Cluster the intelligent connected devices using the agglomerative hierarchical clustering method according to the importance index of each intelligent connected device, and divide the level of the intelligent connected devices. First, according to the importance index of each intelligent connected device calculated in step 7, the Euclidean distance is used as the similarity measurement method to construct the similarity matrix between the devices. Initially, each intelligent connected device is regarded as an independent cluster. Then, the full chain method is used as the agglomerative hierarchical clustering method to calculate the farthest distance between all current clusters, and merge the two closest clusters into a new cluster. Repeat this merging process until the number of clusters divided into all intelligent connected devices reaches the predetermined number of clusters. Finally, according to the clustering results, the intelligent connected devices are divided into four categories: primary, secondary, tertiary, and tertiary. The first level represents the highest importance, and the fourth level represents relatively low importance. Through such a hierarchical division, the actual importance and participation of intelligent connected devices in road functions can be effectively reflected, so as to achieve more effective management and resource allocation.

[0057] The content disclosed in this application first analyzes the functions of intelligent connected roads, selects three indicators of driving safety, driving efficiency and driving experience for evaluation, and uses the paired comparison method to establish a weight matrix and calculate the weight vector of each indicator. Secondly, the expert evaluation method is used to rate each function, map the rating results into quantitative values, and perform weighted summation on these quantitative values ​​to obtain the importance index of the function. Then, the participation of each intelligent connected device in the intelligent connected road function is counted, and the importance index of the device is calculated. Finally, a hierarchical clustering method is used to cluster the devices according to their importance index, and the devices are divided into different levels, so as to scientifically and rationally evaluate and manage the importance of intelligent connected devices, and provide a theoretical basis and technical support for the power supply management and optimization of intelligent connected devices.

[0058] [Example] The functions of the intelligent networked devices and intelligent networked roads involved in this embodiment are as follows: The intelligent connected system has multiple functions such as positioning, perception, guidance and communication. These functions rely on different hardware devices to be implemented, including millimeter-wave radar, camera, lidar, weather station, RTK (Real-Time Kinematic) base station, edge computing equipment, variable message signs, roadside broadcast, roadside RSU, 5G base station, etc.

[0059] 1. Perception module 1) Millimeter-wave radar: used to detect the speed, distance, and angle of vehicles and obstacles, providing accurate environmental perception data.

[0060] 2) Camera: used to capture visual information of the road and surrounding environment, and assist in identifying traffic signs, lane lines and other vehicles.

[0061] 3) LiDAR: By emitting laser pulses and receiving reflected signals, it builds a high-precision three-dimensional environmental map and improves environmental perception capabilities.

[0062] 4) Weather Station: Real-time monitoring of weather conditions on roads and surrounding environments (such as temperature, humidity, wind speed, rainfall, etc.) to provide necessary weather data support for safe driving.

[0063] (ii) Positioning module: 1) RTK (Real-Time Kinematic) base station: provides high-precision positioning services by receiving global navigation satellite system signals and performing differential correction to ensure accurate positioning and navigation of the vehicle.

[0064] (III) Boot module: 1) Edge computing devices: used to process and analyze data from perception modules in real time, generate traffic control and guidance strategies, reduce data transmission delays, and improve system response speed.

[0065] 2) Variable information signs: Provide drivers with timely road information by dynamically displaying traffic information (such as speed limits, road conditions, accident warnings, etc.).

[0066] 3) Roadside broadcasting: Deliver important traffic information and warnings to vehicles through broadcasting, improving the coverage and timeliness of information transmission.

[0067] (IV) Communication module: 1) Roadside RSU (Roadside Unit): As a roadside communication node, it exchanges data with the On-Board Unit (OBU), realizes real-time communication between vehicles and infrastructure (V2I), and supports two-way transmission of traffic information.

[0068] 2) 5G base station: Utilize the high speed, low latency and large connection characteristics of the 5G network to achieve efficient communication between vehicles (V2V), vehicles and infrastructure (V2I), and vehicles and networks (V2N), and support the overall operation of the intelligent connected system.

[0069] The functions of intelligent connected roads can be divided into safety, efficiency and information services.

[0070] (I) Security functions 1) Collision warning in merging area Function description: Real-time monitoring of vehicle position and status, analysis of collision risks, and prompting of drivers through vehicle-mounted displays or roadside variable information boards to reduce the risk of traffic conflicts.

[0071] Equipment used: perception module (millimeter wave radar, camera), positioning module (RTK base station), communication module (roadside RSU, 5G base station), and guidance module (edge ​​computing equipment, variable information signs).

[0072] 2) Ramp vehicle merging guidance Function description: Sense the position and speed of vehicles on the main line and ramp, publish speed control strategies through edge computing, and guide vehicles to merge safely into the main line.

[0073] Equipment used: perception module (millimeter wave radar, camera), positioning module (RTK base station), communication module (roadside RSU, 5G base station), and guidance module (edge ​​computing device).

[0074] 3) Traffic incident warning ahead Function description: Detect traffic accidents, parking, wrong-way driving and other events, and issue warning information through RSU and Internet navigation platform to remind drivers to reduce driving risks.

[0075] Equipment used: perception module (camera), positioning module (RTK base station), communication module (roadside RSU, 5G base station), and guidance module (variable information sign).

[0076] 4) Traffic incident classification guidance Function description: According to the control platform strategy, dynamic speed limit and lane recommendation information is issued to connected vehicles to improve driving safety.

[0077] Equipment used: positioning module (RTK base station), communication module (roadside RSU, 5G base station), guidance module (edge ​​computing equipment, variable information sign).

[0078] 5) Road condition warning Function description: Real-time perception of abnormal road conditions, issuing warning information through the vehicle-mounted unit or variable information board to prompt the driver to drive carefully.

[0079] Equipment used: perception module (camera, lidar), positioning module (RTK base station), guidance module (variable information sign), communication module (roadside RSU, 5G base station) 6) Poor visibility warning Function description: Provide poor visibility warning services under weather conditions such as haze, heavy rain, and heavy snow to assist drivers in driving safely in low visibility conditions.

[0080] Equipment used: perception module (camera, lidar, millimeter-wave radar, weather station), positioning module (RTK base station), communication module (roadside RSU, 5G base station), and guidance module (edge ​​computing device).

[0081] 7) Dangerous vehicle warning Function description: When a dangerous vehicle is detected, a warning message is issued through the vehicle terminal or information board to remind the driver to avoid it.

[0082] Equipment used: perception module (lidar, millimeter-wave radar), positioning module (RTK base station), communication module (roadside RSU, 5G base station), guidance module (variable information signs, edge computing equipment).

[0083] (II) Efficiency functions 1) Congestion reminder Function description: Real-time monitoring of traffic congestion ahead, release of congestion information to connected vehicles through RSU, and reminder of drivers to adjust routes.

[0084] Equipment used: perception module (camera), positioning module (RTK base station), communication module (roadside RSU, 5G base station), and guidance module (variable information sign).

[0085] 2) Dynamic speed limit on main line Function description: Release dynamic speed limit information based on congestion conditions to remind drivers to drive at the prescribed speed.

[0086] Equipment used: positioning module (RTK base station), communication module (roadside RSU, 5G base station), guidance module (variable speed limit sign).

[0087] 3) Flexible dedicated lane control Function description: Prompt other connected vehicles to temporarily leave the dedicated lane to provide an efficient driving environment for vehicles with priority right of way.

[0088] Equipment used: positioning module (RTK base station), communication module (roadside RSU, 5G base station), and guidance module (variable information sign).

[0089] 4) Collaborative Fleet Management Function description: Limit the number of vehicles in the formation according to traffic conditions to ensure smooth traffic.

[0090] Equipment used: positioning module (RTK base station), communication module (roadside RSU, 5G base station), and guidance module (edge ​​computing device).

[0091] (III) Information service functions 1) Push of in-vehicle signage Function description: Dynamically display traffic sign information, overcome the limitations of traditional signs, and remind drivers to follow traffic signs.

[0092] Equipment used: communication module (roadside RSU, 5G base station).

[0093] 2) Information Service Announcement Function description: Send announcement information to connected vehicles equipped with OBU through RSU to provide information services.

[0094] Equipment used: communication module (roadside RSU, 5G base station).

[0095] 3) Parking space information Function description: Push information about the number of parking spaces in the parking area to assist users in deciding whether to enter the parking area.

[0096] Equipment used: communication module (roadside RSU, 5G base station).

[0097] 4) Weather information service Function description: Real-time access to road weather information, sent to connected vehicles, to assist travel decisions and safe driving.

[0098] Equipment used: perception module (weather station), positioning module (RTK base station), communication module (roadside RSU, 5G base station).

[0099] 5) Dangerous road section warning Function description: Analyze traffic accident data, determine high-risk road sections, and issue reminder information through vehicle-road communication and navigation platforms.

[0100] Equipment used: perception module (camera), positioning module (RTK base station), communication module (roadside RSU, 5G base station), guidance module (variable message signs, roadside broadcasting).

[0101] For an implementation case of the method for classifying equipment power supply levels based on the importance of intelligent connected road functions proposed in this invention, see Figure 2 , the steps are as follows: Step 1: Analyze the functions of intelligent connected roads and select three indicators, namely driving safety, driving efficiency, and driving experience, to evaluate the importance of intelligent connected road functions.

[0102] Step 2: Use the paired comparison method to establish the weight matrix of each indicator.

[0103] First, construct a pairwise comparison matrix , compare the three indicators of driving safety, driving efficiency and driving experience in pairs, assign specific scoring values, and form a pairwise comparison matrix As shown below, the indicators represented from left to right and from top to bottom in the matrix are driving safety, driving efficiency, and driving experience: (the weights are given according to the qualitative judgment of driving safety > driving efficiency > driving experience).

[0104] (1) Secondly, normalization processing is performed on the column sums of the pairwise comparison matrix. Each element is divided by the sum of its column and normalized. The normalized pairwise comparison matrix As shown below: (2) Again, calculate the weight vector, through the normalized pairwise comparison matrix , calculate the weight vector of each indicator, indicating the relative importance of each indicator in the overall evaluation. The weight values ​​are shown in the following table: Table 1 Weight table of intelligent connected road function indicators

[0105] Therefore, the indicator weight vector can be obtained as ,in is the driving safety weight, is the driving efficiency weight, Weight for driving experience.

[0106] Step 3: Use the expert evaluation method to rate each indicator of each function. The performance of each function of the intelligent connected road in terms of driving safety, driving efficiency, and driving experience is rated into five levels: excellent, good, medium, general, and poor, forming a function rating table as shown in the following table.

[0107] Table 2 Intelligent connected road function rating table

[0108] Step 4: Use a fixed assignment method to map the rating results of each intelligent connected function indicator into a quantitative value, with excellent corresponding to 5 points, good corresponding to 4 points, medium corresponding to 3 points, general corresponding to 2 points, and poor corresponding to 1 point. The quantitative results are shown in the following table.

[0109] Table 3 Quantitative table of intelligent connected road function rating

[0110] Step 5: Obtain the importance index of intelligent connected road functions by weighted summation of indicator values.

[0111] (1) Multiply the quantitative value of the function rating of each intelligent connected road function in the three indicators of driving safety, driving efficiency, and driving experience by the corresponding indicator weight and sum them up to obtain the original comprehensive score of each function : (3) The original comprehensive scoring results are as follows: Table 4 Original comprehensive score table of intelligent connected road functions

[0112] (2) The comprehensive score of each function is normalized so that the comprehensive score ranges from 0 to 1, and the normalized comprehensive score is used as the importance index of the intelligent connected road function. Based on the full score of 5 points, the normalization formula is as follows: (4) The normalized comprehensive scoring results of intelligent connected road functions are as follows: Table 5 Comprehensive scoring table for intelligent connected road functions

[0113] Step 6: Count the participation of each intelligent connected device in the intelligent connected road function, establish a device participation table, and perform normalization so that the range of intelligent connected device participation is between 0 and 1, so as to better quantify the participation of each device in the intelligent connected road, which is convenient for subsequent comparison and data processing. The normalization formula is as follows: (5) in, For the normalized device Device engagement, For equipment Number of participating intelligent connected road functions, is the total number of intelligent networked road functions in the embodiment. =16.

[0114] The device participation table is as follows: Table 6: Participation of intelligent networked equipment

[0115] Step 7: Calculate the importance index of each intelligent connected device based on the importance of each intelligent connected road function and the participation of the device. In order to make the importance index of the intelligent connected device fully reflect the importance of the intelligent connected road function in which the device participates and the participation of the intelligent connected device in the intelligent connected road, this method assigns weights to the importance index of the intelligent connected function and the participation of the intelligent connected device, and calculates the importance of the intelligent connected device by the weighted summation method. The specific calculation method is as follows: (6) in, For equipment The equipment importance index, To reflect the importance of intelligent connected road functions, To reflect the weight of the participation of intelligent connected devices in intelligent connected roads, For equipment Participating intelligent connected road functions, is the total number of intelligent connected road functions in the embodiment, For equipment In this embodiment, =0.5, =0.5, =16. The calculated equipment importance index is as follows: Table 7 Importance Index of Intelligent Connected Devices

[0116] Step 8: Cluster the intelligent networked devices using the agglomerative hierarchical clustering method according to their importance index to classify the intelligent networked devices. This is done using MATLAB. Based on the importance index of each intelligent networked device calculated in step 7, the Euclidean distance is used as the similarity measure to construct a similarity matrix between devices. Then, based on the similarity matrix, the full-chain method is used to cluster the intelligent networked devices. The tree diagram generated by the clustering process is shown in Figure 1. Figure 3 As shown. Finally, according to the clustering results, the intelligent networked devices are divided into four categories: level 1, level 2, level 3, and level 4. Level 1 represents the highest importance, and level 4 represents relatively low importance. The results of the intelligent networked device level classification are as follows: Table 8 Classification of intelligent network equipment

[0117] The power supply level classification method for intelligent connected devices based on the importance of intelligent connected road functions proposed in this invention scientifically and rationally evaluates the importance of intelligent connected devices. From high to low importance, roadside RSU, 5G base station, and RTK base station are classified into the first category; variable information signs and cameras are classified into the second category; edge computing equipment, millimeter wave radar, and laser radar are classified into the third category; roadside broadcasting and weather stations are classified into the fourth category. The power supply level classification of intelligent connected devices provides a theoretical basis and technical support for the power supply management and optimization of intelligent connected devices.

[0118] The present application also discloses a system for classifying equipment power supply levels based on the importance of intelligent connected road functions, including: An acquisition unit is used to acquire multiple indicators reflecting the importance of the intelligent connected road function and the participation of each intelligent connected device in the intelligent connected road function; and use a paired comparison method for each indicator to establish a weight matrix for each indicator; A quantification unit is used to rate various indicators of various functions of the intelligent connected road using a preset evaluation method to obtain a rating result; and to map each rating result into a quantitative value using a fixed value assignment method; A first calculation unit is used to obtain an intelligent connected road function importance index by weighted summing of the quantified values ​​of the rating results; A second calculation unit is used to calculate the importance index of each intelligent connected road device according to the importance index of each intelligent connected road function and the participation of the intelligent connected device in the intelligent connected road function; The division unit is used to perform clustering according to the importance index of each intelligent network-connected device using an agglomerative hierarchical clustering method to divide the intelligent network-connected devices into levels.

[0119] An electronic device comprises a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of any one of the above-mentioned methods for classifying equipment power supply levels based on the importance of intelligent connected road functions when executing the computer program.

[0120] A computer-readable storage medium stores a computer program, which, when executed by a processor, implements the steps of any of the above-mentioned methods for classifying equipment power supply levels based on the importance of intelligent connected road functions.

[0121] It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Furthermore, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0122] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0123] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0124] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0125] Finally, 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 above embodiments, ordinary technicians in the relevant field should understand that the specific implementation methods of the present invention can still be modified or replaced by equivalents. Any modification or equivalent replacement that does not depart from the spirit and scope of the present invention should be covered within the scope of protection of the claims of the present invention.

Claims

1. A method for classifying equipment power supply levels based on the importance of intelligent connected road functions, characterized in that: include: Obtain multiple indicators that reflect the importance of intelligent connected road functions and the participation of each intelligent connected device in the intelligent connected road functions; And use the paired comparison method for each indicator to establish the weight matrix of each indicator; Using the preset evaluation method, the various indicators of various functions of the intelligent connected road are rated to obtain the rating results; And use a fixed value assignment method to map each rating result into a quantitative value; The weighted sum of the quantitative values ​​of the rating results is used to obtain the importance index of the intelligent connected road function; Calculate the importance index of each intelligent connected road function and the participation of intelligent connected equipment in the intelligent connected road function; According to the importance index of each intelligent connected device, the agglomerative hierarchical clustering method is used to cluster and divide the intelligent connected devices into levels.

2. A method for classifying equipment power supply levels based on the importance of intelligent connected road functions according to claim 1, characterized in that: The indicators that reflect the importance of intelligent connected road functions include: driving safety, driving efficiency and driving experience; The paired comparison method is used for each indicator to establish a weight matrix for each indicator, which is specifically: Compare the three indicators of driving safety, driving efficiency and driving experience in pairs and assign scoring values; Normalization processing: standardize each element in the pairwise comparison matrix so that the sum of the elements in each column is equal to 1; The weight vector of each indicator is calculated through the normalized pairwise comparison matrix to obtain the weight matrix of each indicator.

3. The method for classifying equipment power supply levels based on the importance of intelligent connected road functions according to claim 1 is characterized in that: The preset evaluation method is used to rate the indicators of various functions of the intelligent connected road into five levels: excellent, good, medium, general, and poor; The fixed value assignment method is used to map each rating result into a quantitative value, specifically: excellent corresponds to 5 points, good corresponds to 4 points, medium corresponds to 3 points, general corresponds to 2 points, and poor corresponds to 1 point.

4. The method for classifying equipment power supply levels based on the importance of intelligent connected road functions according to claim 1 is characterized in that: The weighted sum of the quantitative values ​​of the rating results to obtain the intelligent connected road function importance index is specifically: The quantitative values ​​of the rating results are multiplied by the corresponding indicator weights and summed to obtain the original comprehensive score of each function; The comprehensive score of each function is normalized so that the range of the comprehensive score is between 0 and 1, and the normalized comprehensive score is used as the importance index of the intelligent connected road function.

5. The method for classifying equipment power supply levels based on the importance of intelligent connected road functions according to claim 1 is characterized in that: The calculating of the importance index of each intelligent connected road function and the participation of the intelligent connected equipment in the intelligent connected road function includes: According to the participation of intelligent networked devices in the intelligent networked road function, a device participation table is established, and normalized to obtain the device participation; The importance index of intelligent connected road functions is assigned weights to the device participation of intelligent connected devices in the intelligent connected road functions, and the importance of intelligent connected devices is calculated through the weighted sum method.

6. A method for classifying equipment power supply levels based on the importance of intelligent connected road functions according to claim 5, characterized in that: The normalization formula of the device participation obtained by the normalization process is as follows: in, For the normalized device Device engagement, For equipment Number of participating intelligent connected road functions, is the total number of intelligent connected road functions; The weighted summation method is used to calculate the importance of intelligent networked devices. The specific formula is as follows: in, For equipment The equipment importance index, To reflect the importance of intelligent connected road functions, To reflect the weight of the participation of intelligent connected devices in intelligent connected roads, For equipment Participating intelligent connected road functions, is the total number of intelligent connected road functions in the embodiment, For equipment Device engagement.

7. The method for classifying equipment power supply levels based on the importance of intelligent connected road functions according to claim 1, characterized in that: The method of clustering the intelligent network-connected devices using the agglomerative hierarchical clustering method according to the importance index of each intelligent network-connected device to divide the intelligent network-connected devices into different levels includes: According to the importance index of each intelligent networked device, the similarity matrix between intelligent networked devices is constructed using Euclidean distance; The full-chain method is used to cluster the similarity matrix between intelligent connected devices. According to the clustering results, the intelligent connected devices are divided into four levels: primary, secondary, tertiary and tertiary.

8. A system for classifying equipment power supply levels based on the importance of intelligent connected road functions, characterized in that: include: An acquisition unit, used to acquire multiple indicators reflecting the importance of the intelligent connected road function and the participation of each intelligent connected device in the intelligent connected road function; And use the paired comparison method for each indicator to establish the weight matrix of each indicator; A quantification unit, used to rate various indicators of various functions of the intelligent connected road using a preset evaluation method to obtain a rating result; And use a fixed value assignment method to map each rating result into a quantitative value; A first calculation unit is used to obtain an intelligent connected road function importance index by weighted summing of the quantified values ​​of the rating results; A second calculation unit is used to calculate the importance index of each intelligent connected road device according to the importance index of each intelligent connected road function and the participation of the intelligent connected device in the intelligent connected road function; The division unit is used to perform clustering according to the importance index of each intelligent network-connected device using an agglomerative hierarchical clustering method to divide the intelligent network-connected devices into levels.

9. An electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the method for classifying equipment power supply levels based on the importance of intelligent connected road functions as described in any one of claims 1 to 7 when executing the computer program.

10. A computer-readable storage medium storing a computer program, wherein the computer program, when executed by a processor, implements the steps of the method for classifying equipment power supply levels based on the importance of intelligent connected road functions as described in any one of claims 1 to 7.

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