A tidal lane adaptive management method and system

Abstract

The present invention relates to the field of tidal lane management, and discloses a tidal lane adaptive management method and system, including the following steps: connecting a construction progress management system, a procurement plan management system, and a lane management system of an access control system to construct an integrated construction site management system, realizing the fusion analysis of the current construction progress, construction procurement plan, and real-time traffic data, and constructing a double-layer planning model for tidal lanes to achieve the purpose of constructing a target management plan for tidal lanes, so as to perform adaptive management on tidal lanes. The present invention can solve the problem of congestion in the entry and exit of vehicle traffic at the construction site of large projects.

Description

Technical Field

[0001] The present invention relates to the field of tidal lane management, and in particular to a tidal lane adaptive management method and system. Background Art

[0002] Tidal lanes can flexibly adjust lane usage based on changes in traffic flow, effectively alleviating traffic congestion. However, at fully enclosed construction sites of large projects, traffic congestion can still occur even with traditional tidal lane management methods due to peak hours in the morning and evening, as well as the influx of vehicles purchasing materials and construction machinery during project construction. This lack of consideration for the ingress and egress of material procurement vehicles can lead to traffic congestion. To better address the existing congestion in large-scale construction projects, an adaptive tidal lane management method and system is needed.

[0003] It is necessary to combine the construction progress management system, procurement plan management system and access control system lane management system to achieve adaptive management of tidal lanes. Summary of the Invention

[0004] The present invention overcomes the deficiencies of the prior art and provides a method and system for adaptive management of tidal lanes.

[0005] In order to achieve the above object, the technical solution adopted by the present invention is:

[0006] A first aspect of the present invention provides a tidal lane adaptive management method, comprising the following steps:

[0007] Connect the construction progress management system, procurement plan management system, access control system and lane management system to realize system data interaction and sharing, and obtain an integrated construction site management system;

[0008] Determine the current construction progress, construction procurement plan, and real-time traffic data within the construction site integrated management system;

[0009] Based on the data stored in the integrated management system of the construction site, a two-layer planning model for tidal lanes is constructed, and based on the two-layer planning model, a target management plan for tidal lanes is constructed.

[0010] Furthermore, in a preferred embodiment of the present invention, the construction progress management system, the procurement plan management system, and the access control system and lane management system are connected to realize interactive sharing of system data to obtain an integrated construction site management system, specifically:

[0011] Identify a construction site and obtain a construction progress management system, a procurement plan management system, and an access control lane management system within the construction site;

[0012] Set up a data interaction center, and connect the construction progress management system, the procurement plan management system, and the access lane management system to the data interaction center;

[0013] Specify a general data template in the data interaction center, respectively collect the data output from the construction progress management system, the procurement plan management system, and the access lane management system, and convert the formats of all the collected data into the data formats corresponding to the general data template;

[0014] Determine the timestamps of the data output from the construction progress management system, the procurement plan management system, and the access lane management system in the data interaction center and perform time sequence synchronization, and at the same time control the data collection frequencies of all systems to be the same, so that the construction progress management system, the procurement plan management system, and the access lane management system realize data interaction and sharing, and generate a construction site integrated management system.

[0015] Further, in a preferred embodiment of the present invention, in the construction site integrated management system, determining the current construction progress, construction procurement plan, and real-time traffic data specifically includes:

[0016] In the construction site integrated management system, control the construction progress management system to work and extract the current construction progress of the construction progress management system;

[0017] Among them, the current construction progress includes the real-time operation data of the working equipment in the construction site, and based on the real-time operation data of the working equipment in the construction site, calculate the consumption rate of the construction materials in the construction site;

[0018] Obtain the initial quantity of construction materials in the construction site, and combine the consumption rate of the construction materials in the construction site to construct a construction progress - material resource consumption curve, and introduce the Kalman filtering method to correct the resource consumption deviation of the construction progress - material resource consumption curve, and output a qualified construction progress - material resource consumption curve;

[0019] Analyze the qualified construction progress - material resource consumption curve to generate the standard quantity of construction materials corresponding to different construction progress, and combine the standard quantity of construction materials corresponding to different construction progress to construct and store a construction procurement plan, wherein the construction procurement plan needs to ensure that at different construction progress, the real-time quantity of construction materials is equal to the standard quantity of construction materials;

[0020] In the construction site integrated management system, connect to the traffic management system and based on the traffic management system, monitor and store the real-time traffic data in the construction site in real time.

[0021] Further, in a preferred embodiment of the present invention, based on the data stored in the integrated construction site management system, a double-layer planning model for tidal lanes is constructed, and a target management scheme for tidal lanes is constructed based on the double-layer planning model for tidal lanes, specifically as follows:

[0022] Obtain the blank architecture of the double-layer planning model, and connect the blank architecture of the double-layer planning model with the integrated construction site management system to ensure that the data stored in the integrated construction site management system acts within the blank architecture of the double-layer planning model;

[0023] Among them, the blank architecture of the double-layer planning model includes an upper-layer planning model blank architecture and a lower-layer planning model blank architecture;

[0024] Within the upper-layer planning model blank architecture, convert the current construction progress, construction procurement plan, and real-time traffic data into model feature condition data to obtain current construction progress feature data, construction procurement plan feature data, and real-time traffic feature data;

[0025] According to the construction procurement plan feature data and real-time traffic feature data, design an objective function within the upper-layer planning model blank architecture. The objective function includes a first term and a second term. The first term is a model delay function that acts on all vehicles in the tidal lanes within the construction site, including construction vehicles and procurement vehicles. The second term is a tidal lane optimization ratio function that acts on the procurement vehicles within the construction site;

[0026] Preset constraint conditions to perform lane physical constraints on construction vehicles and procurement vehicles, that is, respectively determine the necessary sections for construction vehicles and procurement vehicles and the corresponding minimum guaranteed lane numbers;

[0027] Combine the objective function and the constraint conditions to perform model solution training within the upper-layer planning model blank architecture to obtain the upper-layer planning model training architecture.

[0028] Collect the historical driving probabilities of all vehicles in different lanes, and combine them with the lower-layer planning model blank architecture to construct the lower-layer planning model training structure;

[0029] Combine the upper-layer planning model training structure and the lower-layer planning model training structure to construct a double-layer planning model, and based on the double-layer planning model, construct a target management scheme for tidal lanes.

[0030] Further, in a preferred embodiment of the present invention, the step of collecting the historical driving probabilities of all vehicles in different lanes and combining them with the lower-layer planning model blank architecture to construct the lower-layer planning model training structure is specifically as follows:

[0031] Collect the historical driving probabilities of all vehicles in different lanes, and input the historical driving probabilities of all vehicles in different lanes into the blank architecture of the lower-level planning model to obtain the blank architecture of the lower-level planning model to be trained;

[0032] Introduce an adaptive iteration algorithm into the blank architecture of the lower-level planning model to be trained, perform adaptive iterative analysis on the historical driving probabilities of all vehicles in different lanes, and preset the standard number of iterations;

[0033] Among them, the adaptive iterative analysis is to predict the probability values of construction vehicles and procurement vehicles driving in different lanes within a preset time period based on the historical driving probabilities of all vehicles in different lanes;

[0034] When the number of times of adaptive iterative analysis is equal to the standard number of iterations, stop the adaptive iterative analysis and output the training structure of the lower-level planning model.

[0035] Further, in a preferred embodiment of the present invention, the upper-level planning model training structure and the lower-level planning model training structure are combined to construct a two-layer planning model, and based on the two-layer planning model, a tidal lane target management scheme is constructed, specifically:

[0036] Obtain the model variable parameters in the upper-level planning model training structure and the lower-level planning model training structure, construct a sensitivity matrix, and introduce a genetic algorithm to perform iterations on the sensitivity matrices corresponding to the upper-level planning model training structure and the lower-level planning model training structure respectively;

[0037] Among them, when the sensitivity matrix of the upper-level planning model training structure is iterated, the lower-level planning model training structure needs to inherit the solution obtained by the iteration of the sensitivity matrix of the upper-level planning model training structure as the initial value for iteration;

[0038] When the number of iterations is equal to the preset number of times, stop the iteration, and respectively perform data fusion on the iterated sensitivity matrices to output a two-layer planning model;

[0039] Based on the two-layer planning model, output all lane allocation plans, where different lane allocation plans describe the allocation of driving lanes for construction vehicles and procurement vehicles under different real-time traffic data, and it is necessary to ensure that both construction vehicles and procurement vehicles have corresponding minimum guaranteed lane numbers and travel on corresponding necessary sections;

[0040] Combine the probability values of construction vehicles and procurement vehicles driving in different lanes within a preset time period, screen all lane allocation plans, mark the lanes with probability values less than the preset value as type-one lanes, and screen out the lane allocation plans with a type-one lane ratio greater than the preset ratio among all lane allocation plans to obtain type-one lane allocation plans;

[0041] Preset the traffic volume monitoring time period, screen all the first-class lane allocation plans, select the first-class lane allocation plan with the largest traffic volume during the traffic volume monitoring time period, and calibrate it as the tidal lane target management plan;

[0042] Input and apply the tidal lane target management plan in the construction site integrated management system.

[0043] The second aspect of the present invention also provides a tidal lane adaptive management system. The adaptive management system includes a memory and a processor. An adaptive management method is stored in the memory. When the adaptive management method is executed by the processor, the following steps are implemented:

[0044] Connect the construction progress management system, the procurement plan management system, and the access control system lane management system to realize system data interaction and sharing, and obtain the construction site integrated management system;

[0045] In the construction site integrated management system, determine the current construction progress, construction procurement plan, and real-time traffic data;

[0046] Based on the data stored in the construction site integrated management system, construct a two-layer planning model for the tidal lane, and construct a tidal lane target management plan based on the two-layer planning model for the tidal lane.

[0047] The present invention solves the technical defects existing in the background technology. The present invention has the following beneficial effects: Connect the construction progress management system, the procurement plan management system, and the access control system lane management system, construct a construction site integrated management system, realize the fusion analysis of the current construction progress, construction procurement plan, and real-time traffic data, and construct a two-layer planning model for the tidal lane to achieve the purpose of constructing a tidal lane target management plan for the adaptive management of the tidal lane. The present invention can solve the problem of vehicle traffic congestion in and out of the construction site of large projects. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for the description of the embodiments or the prior art. Obviously, the following drawings are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can be obtained based on these drawings.

[0049] Figure 1 Shows a flowchart of a tidal lane adaptive management method;

[0050] Figure 2 Shows a method flowchart for constructing a tidal lane target management plan;

[0051] Figure 3 Shows a program view of a tidal lane adaptive management system. Detailed implementation manners

[0052] In order to more clearly understand the above objects, features and advantages of the present invention, the present invention will be further described in detail below with reference to the accompanying drawings and specific implementation manners. It should be noted that, without conflict, the embodiments of the present application and the features in the embodiments can be combined with each other.

[0053] In the following description, many specific details are set forth in order to fully understand the present invention. However, the present invention can also be implemented in other ways different from those described herein. Therefore, the protection scope of the present invention is not limited by the specific embodiments disclosed below.

[0054] Figure 1 Shows a flowchart of a tidal lane adaptive management method, including the following steps:

[0055] Connect the construction progress management system, the procurement plan management system and the access control system lane management system to realize system data interaction and sharing, and obtain a construction site integrated management system;

[0056] In the construction site integrated management system, determine the current construction progress, construction procurement plan and real-time traffic data;

[0057] Based on the data stored in the construction site integrated management system, construct a two-layer planning model for tidal lanes, and construct a target management plan for tidal lanes based on the two-layer planning model for tidal lanes.

[0058] Further, in a preferred embodiment of the present invention, the connecting the construction progress management system, the procurement plan management system and the access control system lane management system to realize system data interaction and sharing, and obtaining a construction site integrated management system is specifically:

[0059] Determine the construction site, and obtain the construction progress management system, the procurement plan management system and the access control lane management system within the construction site;

[0060] Set up a data interaction center, and connect the construction progress management system, the procurement plan management system and the access control lane management system to the data interaction center;

[0061] Specify a general data template in the data interaction center, respectively collect the data output by the construction progress management system, the procurement plan management system and the access control lane management system, and convert the formats of all the collected data into the data formats corresponding to the general data template;

[0062] Determine the timestamps of the data output by the construction progress management system, procurement plan management system, and access control lane management system in the data interaction center and perform time series synchronization. At the same time, control the data collection frequencies of all systems to be the same, enabling the construction progress management system, procurement plan management system, and access control lane management system to achieve data interaction and sharing, and generating an integrated management system for the construction site.

[0063] It should be noted that there are mainly three main management systems in this solution, namely: the construction progress management system, the procurement plan management system, and the access control system lane management system. Among them, the construction progress management system mainly provides real-time monitoring of the construction progress, including the start time, end time, required materials, etc. of each engineering task; the procurement plan management system mainly formulates and adjusts the material procurement plan according to the information provided by the construction progress management system, including the procurement time, quantity, supplier, etc.; the access control system lane management system mainly controls the use of lanes at the construction site entrance and internal roads, including the opening and closing of lanes, direction adjustment, etc. By combining the three systems for data sharing and interaction, an integrated management system for the construction site is constructed, aiming to build a unified management system to achieve adaptive management of tidal lanes. Data interaction needs to connect all systems through the data interaction center and perform data unification processing on the data obtained from different systems.

[0064] Furthermore, in a preferred embodiment of the present invention, within the integrated management system for the construction site, determining the current construction progress, construction procurement plan, and real-time traffic data specifically includes:

[0065] In the integrated management system for the construction site, control the construction progress management system to work and extract the current construction progress from the construction progress management system;

[0066] Among them, the current construction progress includes the real-time operation data of the working equipment in the construction site, and based on the real-time operation data of the working equipment in the construction site, calculate the consumption rate of construction materials in the construction site;

[0067] Obtain the initial quantity of construction materials in the construction site, and combine the consumption rate of construction materials in the construction site to construct a construction progress - material resource consumption curve, and introduce the Kalman filtering method to correct the resource consumption offset of the construction progress - material resource consumption curve, and output a qualified construction progress - material resource consumption curve;

[0068] Analyze the qualified construction progress - material resource consumption curve to generate the standard quantity of construction materials corresponding to different construction progress, and combine the standard quantity of construction materials corresponding to different construction progress to construct and store the construction procurement plan, where the construction procurement plan needs to ensure that the real-time quantity of construction materials is equal to the standard quantity of construction materials at different construction progress;

[0069] In the construction site integrated management system, a traffic management system is accessed, and real-time traffic data within the construction site is monitored and stored based on the traffic management system.

[0070] It should be noted that according to the actual situation of the construction site and construction requirements, especially the construction procurement plan and time arrangement, the adjustment rules for the tidal lane are set. Before setting the adjustment rules, it is necessary to obtain the construction progress, procurement plan, and real-time traffic data for calculating and adjusting the configuration of the tidal lane. Since the construction materials need to be maintained at a certain value, they need to be analyzed jointly with the construction progress. The construction progress will reflect the quantity of consumed construction materials, thereby constructing a construction progress - material resource consumption curve. There may be structural offsets in the curve, so it is necessary to introduce the Kalman filtering method to correct the resource consumption offset of the construction progress - material resource consumption curve and output a qualified construction progress - material resource consumption curve. Among them, the Kalman filtering algorithm is an adaptive filtering algorithm. Since it is necessary to maintain the sufficiency of construction materials, the construction procurement plan can be generated by combining the construction progress. The purpose of obtaining real-time traffic data is to provide conditional data for the adaptive management of the tidal lane, and the purpose of reducing traffic delays can be achieved in the next planning and management plan.

[0071] Figure 2 The method flow chart for constructing the target management plan for the tidal lane is shown, including the following steps:

[0072] S202: Based on the data stored in the construction site integrated management system, construct a two-layer planning model for the tidal lane, and construct a target management plan for the tidal lane based on the two-layer planning model for the tidal lane;

[0073] S204: Collect the historical driving probabilities of all vehicles in different lanes, and combine the blank structure of the lower-layer planning model to construct a training structure for the lower-layer planning model;

[0074] S206: Combine the training structure of the upper-layer planning model and the training structure of the lower-layer planning model to construct a two-layer planning model, and construct a target management plan for the tidal lane based on the two-layer planning model.

[0075] Furthermore, in a preferred embodiment of the present invention, the constructing a two-layer planning model for the tidal lane based on the data stored in the construction site integrated management system and constructing a target management plan for the tidal lane based on the two-layer planning model for the tidal lane are specifically as follows:

[0076] Obtain the blank structure of the two-layer planning model, and connect the blank structure of the two-layer planning model with the construction site integrated management system to ensure that the data stored in the construction site integrated management system acts within the blank structure of the two-layer planning model;

[0077] Among them, the blank framework of the bi-level programming model includes the blank framework of the upper-level programming model and the blank framework of the lower-level programming model;

[0078] Within the blank framework of the upper-level programming model, convert the current construction progress, construction procurement plan, and real-time traffic data into model feature condition data to obtain the current construction progress feature data, construction procurement plan feature data, and real-time traffic feature data;

[0079] According to the construction procurement plan feature data and real-time traffic feature data, design an objective function within the blank framework of the upper-level programming model. The objective function includes a first term and a second term. The first term is a model delay function that acts on all vehicles in the tidal lanes within the construction site, including construction vehicles and procurement vehicles. The second term is a tidal lane optimization ratio function that acts on the procurement vehicles within the construction site;

[0080] Preset constraint conditions to impose lane physical constraints on construction vehicles and procurement vehicles, that is, respectively determine the necessary sections for construction vehicles and procurement vehicles and the corresponding minimum guaranteed lane numbers;

[0081] Combine the objective function and the constraint conditions to perform model solution training within the blank framework of the upper-level programming model to obtain the upper-level programming model training framework.

[0082] Collect the historical driving probabilities of all vehicles in different lanes, and combine with the blank framework of the lower-level programming model to construct the lower-level programming model training structure;

[0083] Combine the upper-level programming model training structure and the lower-level programming model training structure to construct a bi-level programming model, and based on the bi-level programming model, construct a tidal lane target management plan.

[0084] It should be noted that a two - layer programming model is constructed. According to the construction progress, procurement plan and real - time traffic data, it automatically calculates and adjusts the configuration of tidal lanes. The upper - layer model is mainly used for lane allocation of the road network, and the goal is to optimize the sum of the total system delay and the optimization ratio of the tidal - lane traffic flow. This means that the model will comprehensively consider the lane - allocation situation of the entire traffic network and the impact of the setting of tidal lanes on traffic flow, so as to obtain a lane - allocation plan that can minimize the total system delay. In this application, the current construction - progress characteristic data, construction - procurement - plan characteristic data and real - time traffic - characteristic data are imported into the blank architecture of the upper - layer planning model for training, and the loss function and constraint conditions need to be obtained during training. The loss function is the objective function. Tidal lanes are used by both construction vehicles and procurement vehicles. Suppose there are ten lanes, then a part of the lanes are for procurement vehicles and a part are for construction vehicles. If there is no need for procurement, most of the lanes can be given to construction vehicles for construction. Conversely, most of the lanes can be given to procurement vehicles for in - and - out of procurement materials. At the same time, there are some necessary lanes, and it is not possible to completely give all lanes to one type of vehicle. Therefore, the necessary sections of construction vehicles and procurement vehicles and the corresponding minimum guaranteed lane numbers are determined, so as to generate constraint conditions. Combining the constraint conditions and the objective function, model solving and training are carried out in the blank architecture of the upper - layer planning model to obtain the training architecture of the upper - layer planning model.

[0085] Furthermore, in a preferred embodiment of the present invention, the historical driving probabilities of all vehicles in different lanes are collected, and combined with the blank architecture of the lower - layer planning model, a training structure of the lower - layer planning model is constructed, specifically:

[0086] Collect the historical driving probabilities of all vehicles in different lanes, and input the historical driving probabilities of all vehicles in different lanes into the blank architecture of the lower - layer planning model to obtain a blank architecture of the lower - layer planning model to be trained;

[0087] Introduce an adaptive iteration algorithm into the blank architecture of the lower - layer planning model to be trained, conduct adaptive iteration analysis on the historical driving probabilities of all vehicles in different lanes, and preset the standard number of iterations;

[0088] Among them, the adaptive iteration analysis is to predict the probability values of construction vehicles and procurement vehicles driving in different lanes within a preset time period according to the historical driving probabilities of all vehicles in different lanes;

[0089] When the number of times of adaptive iteration analysis is equal to the standard number of iterations, stop the adaptive iteration analysis and output the training structure of the lower - layer planning model.

[0090] It should be noted that the lower-layer model is a user equilibrium distribution model, which considers the route selection behavior of drivers in actual travel. By optimizing the setting of tidal lanes, a balanced state can be achieved when drivers choose routes, that is, no driver can reduce their travel time by unilaterally changing the route selection. The realization of this balanced state helps to improve the operation efficiency of the entire traffic network, and then forms a tidal lane adaptive management method. By collecting the probabilities of drivers driving different vehicles on different lanes, it is judged which type of vehicle the lane is usually used for, that is, the historical driving probabilities of all vehicles on different lanes are collected. Adaptive iterative analysis and training is to predict the probability values of construction vehicles and procurement vehicles driving on different lanes within a preset time period through a large amount of data analysis, so as to help select the lanes usually driven by different vehicles, which plays a conditional role in constructing the management plan of tidal lanes.

[0091] Further, in a preferred embodiment of the present invention, the upper-layer planning model training structure and the lower-layer planning model training structure are combined to construct a two-layer planning model, and based on the two-layer planning model, a tidal lane target management plan is constructed, specifically:

[0092] Obtain the model variable parameters in the upper-layer planning model training structure and the lower-layer planning model training structure, construct a sensitivity matrix, and introduce a genetic algorithm to iteratively process the sensitivity matrices corresponding to the upper-layer planning model training structure and the lower-layer planning model training structure respectively;

[0093] Among them, when the sensitivity matrix of the upper-layer planning model training structure is iterated, the lower-layer planning model training structure needs to inherit the solution obtained by the iteration of the sensitivity matrix of the upper-layer planning model training structure as the initial value for iteration;

[0094] When the number of iterations is equal to the preset number of times, stop the iteration, and respectively perform data fusion on the iterated sensitivity matrices to output a two-layer planning model;

[0095] Based on the two-layer planning model, output all lane allocation plans, where different lane allocation plans describe the allocation of lanes for construction vehicles and procurement vehicles under different real-time traffic data, and it is necessary to meet that both construction vehicles and procurement vehicles have corresponding minimum guaranteed lane numbers and travel on corresponding necessary sections;

[0096] Combined with the probability values of construction vehicles and procurement vehicles driving on different lanes within a preset time period, screen all lane allocation plans, mark the lanes with probability values less than the preset value as one type of lane, and screen out the lane allocation plans with a proportion of the one type of lane greater than the preset proportion in all lane allocation plans to obtain one type of lane allocation plan;

[0097] Preset the traffic volume monitoring time period, screen all the lane allocation plans of the first type, select the lane allocation plan of the first type with the largest traffic volume during the traffic volume monitoring time period, and calibrate it as the tidal lane target management plan;

[0098] Input and apply the tidal lane target management plan in the construction site integrated management system.

[0099] It should be noted that coupling and solving the two models to generate a two-layer model requires an iterative algorithm based on sensitivity. By calculating the sensitivity matrices of the lower-layer model and the upper-layer model on a large scale, and each time the upper-layer matrix is iterated, the next matrix needs to inherit the solution obtained by iterating the sensitivity matrix of the upper-layer planning model training structure as the initial value for iteration. The purpose is to reduce the number of iterations required for the lower-layer model to converge and achieve the purpose of simplifying and accelerating the model construction. After outputting the two-layer programming model, different lane allocation plans can be output. In different lane allocation plans, the number of lanes corresponding to construction vehicles and procurement vehicles is different. The model can adaptively allocate lanes according to the current construction progress, procurement plan, and real-time traffic flow, that is, control the use of lanes at the construction site entrance and internal roads, including the opening and closing of lanes and direction adjustment. It is necessary to ensure that both construction vehicles and procurement vehicles have corresponding minimum guaranteed lane numbers and travel on corresponding necessary sections, and it is necessary to obtain the plan with the most vehicles passing through in the same time period, that is, the plan with the largest traffic volume, which is calibrated as the tidal lane target management plan, and finally push the tidal lane target management plan to work in the construction site integrated management system.

[0100] Such as Figure 3 As shown, the second aspect of the present invention also provides a tidal lane adaptive management system. The adaptive management system includes a memory 31 and a processor 32. The memory 31 stores an adaptive management method. When the adaptive management method is executed by the processor 32, the following steps are implemented:

[0101] Connect the construction progress management system, the procurement plan management system, and the access control system lane management system to realize system data interaction and sharing, and obtain the construction site integrated management system;

[0102] In the construction site integrated management system, determine the current construction progress, construction procurement plan, and real-time traffic data;

[0103] Based on the data stored in the construction site integrated management system, construct a tidal lane two-layer programming model, and construct a tidal lane target management plan based on the tidal lane two-layer programming model.

[0104] The above are only specific embodiments of the present invention, but the protection scope of the present invention is not limited thereto. Any person skilled in the art within the technical scope disclosed by the present invention can easily think of changes or substitutions, which should all be covered within the protection scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.

Claims

1. A tidal lane adaptive management method, characterized in that, It includes the following steps: Connect the construction progress management system, the procurement plan management system, and the access control system lane management system to achieve system data interaction and sharing, and obtain the construction site integrated management system; In the construction site integrated management system, determine the current construction progress, construction procurement plan, and real-time traffic data; Based on the data stored in the construction site integrated management system, construct a double-layer planning model for tidal lanes, and construct a target management plan for tidal lanes based on the double-layer planning model for tidal lanes; Among them, the construction of the double-layer planning model for tidal lanes based on the data stored in the construction site integrated management system and the construction of the target management plan for tidal lanes based on the double-layer planning model for tidal lanes are specifically as follows: Obtain the blank architecture of the double-layer planning model, and connect the blank architecture of the double-layer planning model to the construction site integrated management system to ensure that the data stored in the construction site integrated management system acts within the blank architecture of the double-layer planning model; Among them, the blank architecture of the double-layer planning model includes the blank architecture of the upper-layer planning model and the blank architecture of the lower-layer planning model; In the blank architecture of the upper-layer planning model, convert the current construction progress, construction procurement plan, and real-time traffic data into model feature condition data to obtain the current construction progress feature data, construction procurement plan feature data, and real-time traffic feature data; According to the construction procurement plan feature data and the real-time traffic feature data, design an objective function in the blank architecture of the upper-layer planning model. The objective function includes a first term and a second term. The first term is the model delay function, which acts on the vehicles in all tidal lanes within the construction site, including construction vehicles and procurement vehicles. The second term is the tidal lane optimization ratio function, which acts on the procurement vehicles within the construction site; Preset constraint conditions to perform lane physical constraints on construction vehicles and procurement vehicles, that is, respectively determine the necessary sections of construction vehicles and procurement vehicles and the corresponding minimum guaranteed lane numbers; Combining the objective function and the constraint conditions, perform model solution training in the blank architecture of the upper-layer planning model to obtain the upper-layer planning model training architecture; Collect the historical driving probabilities of all vehicles in different lanes, and combine the blank architecture of the lower-layer planning model to construct the lower-layer planning model training structure; Combine the upper-layer planning model training structure and the lower-layer planning model training structure to construct a double-layer planning model, and based on the double-layer planning model, construct a target management plan for tidal lanes.

2. The adaptive management method for tidal lanes according to claim 1, wherein The connection of the construction progress management system, the procurement plan management system, and the access control system lane management system to achieve system data interaction and sharing to obtain the construction site integrated management system is specifically as follows: Determine the construction site, and obtain the construction progress management system, the procurement plan management system, and the access control lane management system within the construction site; Set up a data interaction center, and connect the construction progress management system, the procurement plan management system, and the access control lane management system to the data interaction center; Specify a general data template in the data interaction center, collect the data output by the construction progress management system, procurement plan management system, and access lane management system respectively, and convert the formats of all the collected data into the data formats corresponding to the general data template; Determine the timestamps of the data output by the construction progress management system, procurement plan management system, and access lane management system in the data interaction center and perform time series synchronization. At the same time, control the collection frequencies of the data of all systems to be the same, so that the construction progress management system, procurement plan management system, and access lane management system realize data interaction and sharing, and generate a construction site integrated management system.

3. The adaptive management method for tidal lanes according to claim 1, wherein In the construction site integrated management system, determine the current construction progress, construction procurement plan, and real-time traffic data. Specifically: In the construction site integrated management system, control the operation of the construction progress management system and extract the current construction progress from the construction progress management system; Among them, the current construction progress includes the real-time operation data of the working equipment in the construction site, and based on the real-time operation data of the working equipment in the construction site, calculate the consumption rate of the construction materials in the construction site; Obtain the initial quantity of construction materials in the construction site, and combine the consumption rate of the construction materials in the construction site to construct a construction progress - material resource consumption curve, and introduce the Kalman filtering method to correct the resource consumption deviation of the construction progress - material resource consumption curve, and output a qualified construction progress - material resource consumption curve; Analyze the qualified construction progress - material resource consumption curve to generate the standard quantity of construction materials corresponding to different construction progress, and combine the standard quantity of construction materials corresponding to different construction progress to construct and store a construction procurement plan. Among them, the construction procurement plan needs to ensure that the real-time quantity of construction materials is equal to the standard quantity of construction materials at different construction progress; In the construction site integrated management system, connect to the traffic management system and monitor and store the real-time traffic data in the construction site based on the traffic management system.

4. The adaptive management method for a tidal lane according to claim 1, wherein Collect the historical driving probabilities of all vehicles in different lanes, and combine the blank architecture of the lower-level planning model to construct the training structure of the lower-level planning model. Specifically: Collect the historical driving probabilities of all vehicles in different lanes, and input the historical driving probabilities of all vehicles in different lanes into the blank architecture of the lower-level planning model to obtain the blank architecture of the lower-level planning model to be trained; Introduce an adaptive iteration algorithm into the blank architecture of the lower-level planning model to be trained, perform adaptive iteration analysis on the historical driving probabilities of all vehicles in different lanes, and preset the standard number of iterations; Among them, the adaptive iteration analysis is to predict the probability values of construction vehicles and procurement vehicles driving in different lanes within a preset time period according to the historical driving probabilities of all vehicles in different lanes; When the number of times of adaptive iteration analysis is equal to the standard number of iterations, stop the adaptive iteration analysis and output the training structure of the lower-level planning model.

5. The tidal lane adaptive management method according to claim 1, characterized in that Combine the training structure of the upper-level planning model and the training structure of the lower-level planning model to construct a two-layer planning model, and based on the two-layer planning model, construct a tidal lane target management solution. Specifically: Obtain the model variable parameters in the upper-layer planning model training structure and the lower-layer planning model training structure, construct a sensitivity matrix, and introduce a genetic algorithm to iterate the sensitivity matrices corresponding to the upper-layer planning model training structure and the lower-layer planning model training structure respectively; Among them, when iterating the sensitivity matrix of the upper-layer planning model training structure, the lower-layer planning model training structure needs to inherit the solution obtained by iterating the sensitivity matrix of the upper-layer planning model training structure as the initial value for iteration; When the number of iterations is equal to the preset number of times, stop the iteration, and respectively perform data fusion on the iterated sensitivity matrices to output a two-layer planning model; Based on the two-layer planning model, output all lane allocation schemes. Among them, different lane allocation schemes represent the allocation of the driving lanes of construction vehicles and procurement vehicles under different real-time traffic data, and it is necessary to meet that both construction vehicles and procurement vehicles have corresponding minimum guaranteed lane numbers and travel on corresponding necessary sections; Combined with the probability values of construction vehicles and procurement vehicles driving on different lanes within a preset time period, screen all lane allocation schemes, mark the lanes with probability values less than the preset value as one type of lane, and screen out the lane allocation schemes with a proportion of the first type of lane greater than the preset proportion among all lane allocation schemes to obtain the first type of lane allocation scheme; Preset a traffic flow monitoring time period, screen all the first type of lane allocation schemes, and select the first type of lane allocation scheme with the largest traffic flow within the traffic flow monitoring time period, and mark it as the tidal lane target management scheme; Input and apply the tidal lane target management scheme in the construction site integrated management system.

6. A tidal lane adaptive management system, characterized in that, The adaptive management system includes a memory and a processor. The memory stores an adaptive management method program. When the adaptive management method program is executed by the processor, the steps of the adaptive management method described in any one of claims 1-5 are implemented.

Images