Shared scheduling system for carbon emission reduction of double-city economic infrastructure
Through the shared dispatching system for carbon emission reduction of economic infrastructure in the two cities, the operating status of transportation facilities is coordinated in real time, and a shared dispatching strategy is generated, which solves the problem of unoptimized resource allocation between the two cities, achieves efficient energy utilization and reduced carbon emissions, and promotes the coordinated development of the economies of the two cities.
Patent Information
- Application Number
- CN202510877391.3
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-06-27
- Publication Date
- 2025-10-17
- Estimated Expiration
- Not applicable · inactive patent
AI Technical Summary
Under the dual-city economic development model, the lack of an effective infrastructure carbon emission reduction scheduling system has led to suboptimal resource allocation and difficulty in maximizing overall carbon emission reduction benefits. In particular, in terms of traffic management, the travel flow between the two cities has not been effectively integrated to reduce carbon emissions.
A shared scheduling system for carbon emission reduction in economic infrastructure in the two cities is adopted, including a data acquisition module, a data processing and analysis module, a carbon emission reduction model module, a shared scheduling algorithm module and an execution module. By coordinating the operating status of transportation facilities in real time, a shared scheduling strategy is generated, resource allocation and scheduling are optimized, and carbon emission reduction and coordinated economic development are achieved.
It has achieved efficient energy utilization and reduced carbon emissions, promoted the rational flow and sharing of resources between the two cities, improved the overall carbon emission reduction results, and ensured the continued achievement of carbon emission reduction targets.
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Figure CN120806451A_ABST
Abstract
Description
TECHNICAL FIELD
[0001] The present application relates to the technical field of carbon emission reduction, in particular to a double-city economic infrastructure carbon emission reduction sharing scheduling system. BACKGROUND
[0002] With the increasingly serious global climate change problem, carbon emission reduction has become an important task faced by countries and regions. Under the double-city economic development mode, there are close economic links between different cities in terms of industrial structure, energy utilization and transportation, but there is currently a lack of effective infrastructure carbon scheduling system in carbon emission reduction, making it difficult to achieve optimal allocation of resources and maximize overall carbon emission reduction benefits. For example, traffic management has not effectively integrated travel flows between double cities to reduce carbon emissions and other problems. Therefore, it is necessary to develop a double-city economic infrastructure carbon emission reduction sharing scheduling system to improve the overall carbon emission reduction effectiveness of double cities. SUMMARY
[0003] The present application aims to provide a double-city economic cross-domain carbon emission reduction collaborative response system that can coordinate the operating state of transportation facilities between double cities in real time and promote the rational flow and sharing of resources between double cities,
[0004] To achieve the above technical purpose, the technical solution adopted by the present application is as follows:
[0005] The double-city economic infrastructure carbon emission reduction sharing scheduling system comprises a data acquisition module, a data processing and analysis module, a carbon emission reduction model module, a sharing scheduling algorithm module, an execution module and a monitoring and feedback module.
[0006] The data acquisition module is used to acquire operating data of double-city economic infrastructure.
[0007] The data processing and analysis module processes and analyzes the collected data.
[0008] The carbon emission reduction model module constructs a carbon emission reduction model based on the analyzed data.
[0009] The sharing scheduling algorithm module generates a sharing scheduling strategy according to the carbon emission reduction model,
[0010] The execution module performs scheduling operations on double-city economic infrastructure according to the sharing scheduling strategy.
[0011] The monitoring and feedback module is used to monitor the scheduling execution and provide feedback information to the data processing and analysis module for subsequent adjustment.
[0012] Compared with the prior art, the present application aims to realize the goals of energy efficient utilization, carbon emission reduction and double-city economic coordinated development by overall scheduling and optimizing the allocation of traffic facilities between the two cities. The system uses advanced information technology to collect traffic facility operation data, combines a carbon emission reduction model and a shared scheduling algorithm, and real-time coordinates the operation state of traffic facilities between the two cities, promotes the reasonable flow and sharing of resources between the two cities, so as to achieve the best effect of overall carbon emission reduction. BRIEF DESCRIPTION OF DRAWINGS
[0013] The present application can be further illustrated by the non-limiting examples shown in the accompanying drawings;
[0014] Figure 1 A schematic diagram of the shared scheduling system of the present application is shown; DETAILED DESCRIPTION
[0015] In order to enable those skilled in the art to better understand the present application, the technical solutions of the present application are further described below in conjunction with the accompanying drawings and examples.
[0016] As shown in Figure 1 The double-city economic infrastructure carbon emission reduction shared scheduling system comprises a data acquisition module, a data processing and analysis module, a carbon emission reduction model module, a shared scheduling algorithm module, an execution module and a monitoring and feedback module;
[0017] The data acquisition module is used to acquire the operation data of the double-city economic infrastructure;
[0018] The data processing and analysis module processes and analyzes the collected data;
[0019] The carbon emission reduction model module constructs a carbon emission reduction model based on the analyzed data;
[0020] The shared scheduling algorithm module generates a shared scheduling strategy according to the carbon emission reduction model,
[0021] The execution module performs scheduling operations on the double-city economic infrastructure according to the shared scheduling strategy;
[0022] The monitoring and feedback module is used to monitor the scheduling execution and provide feedback information to the data processing and analysis module for subsequent adjustment.
[0023] Further limitation, the data acquisition module comprises a plurality of sensors arranged in various types of economic infrastructure in the two cities, the sensors are used to collect traffic flow data and carbon emission related data of the infrastructure, and the data acquisition module has a real-time data transmission function, which can timely transmit the collected data to the data processing and analysis module.
[0024] Further limited, the data processing and analysis module comprises a data cleaning unit, a data feature extraction unit and a data analysis unit;
[0025] The data cleaning unit is used for removing noise and outliers in the collected data;
[0026] The data feature extraction unit extracts feature information related to the operation state of the infrastructure and carbon emissions from the cleaned data;
[0027] The data analysis unit analyzes the operation efficiency and carbon emission trend of the infrastructure based on the extracted feature information, and outputs the analysis result to the carbon emission reduction model module.
[0028] Further limited, the carbon emission reduction model module is constructed according to the economic development target, infrastructure layout and carbon emission status of the twin cities, the carbon emission reduction model can simulate the carbon emission change of the economic infrastructure of the twin cities under different scheduling strategies, and provide the carbon emission evaluation basis for the shared scheduling algorithm module to determine the optimal shared scheduling strategy to achieve the carbon emission reduction target.
[0029] Further limited, the shared scheduling algorithm module adopts an intelligent optimization algorithm, and the shared scheduling algorithm module optimizes the resource allocation and operation time of the transportation facilities between the twin cities according to the evaluation result of the carbon emission reduction model, with the goal of maximizing carbon emission reduction and coordinated development of the twin cities, to generate a specific shared scheduling strategy.
[0030] Further limited, the execution module comprises a traffic scheduling submodule; the traffic scheduling submodule guides the traffic flow between the twin cities and allocates public transportation capacity according to the shared scheduling strategy, to realize the overall coordinated operation of the economic infrastructure of the twin cities.
[0031] Further limited, the monitoring and feedback module comprises a monitoring unit and a feedback unit; the monitoring unit monitors the scheduling execution of the execution module on the economic infrastructure of the twin cities in real time, including traffic congestion, and the feedback unit sorts and analyzes the monitored information and transmits the feedback result to the data processing and analysis module, so as to dynamically adjust the scheduling strategy of the system and ensure the continuous realization of the carbon emission reduction target.
[0032] Further limited, the system further comprises a user interaction interface connected with the data processing and analysis module, which can be used by the government management departments, infrastructure operation enterprises and other related users of the twin cities to input the economic development needs and policy requirements of the twin cities, and view the running state and carbon emission reduction effect of the system, to realize the interactive operation between the user and the system.
[0033] The present application also discloses a carbon emission reduction shared scheduling method for twin city economic infrastructure,
[0034] Step 1, data collection and transmission step,
[0035] Data collection, sensor deployment, install corresponding sensors in various economic infrastructure in the two cities, including traffic facilities such as roads, bridges, buses, and rail transit, and set up traffic flow sensors; data collection, sensors collect various operation data of infrastructure in real time, including traffic flow data such as vehicle flow and passenger flow; data transmission, transmit the collected various data to the data processing and analysis module in real time through wired or wireless communication network such as Ethernet, 4G / 5G network, to ensure the timeliness and integrity of the data;
[0036] Step 2, data processing and analysis step,
[0037] Data cleaning, receive data from the data collection module; use data cleaning algorithms such as statistical-based outlier detection algorithms to remove noise, error data and obvious outliers that deviate from the normal range, and improve data quality;
[0038] Data feature extraction, use feature extraction technology on the cleaned data;
[0039] Data analysis, based on the extracted feature information, use data analysis methods to judge the correlation between traffic congestion and carbon emissions of the traffic facilities.
[0040] Output the analysis results such as carbon emission prediction to the carbon emission reduction model module;
[0041] Step 3, carbon emission reduction model step,
[0042] Model initialization, receive analysis result data about the economic infrastructure of the two cities from the data processing and analysis module; according to the economic development goals of the two cities such as GDP growth target, industrial structure adjustment target, and carbon emission status such as current total carbon dioxide emissions, industry emission proportion, use mathematical modeling software to build carbon emission reduction model;
[0043] Simulation run, input different hypothetical dispatching strategies into the carbon emission reduction model; these hypothetical dispatching strategies can cover different traffic flow guiding schemes of traffic facilities.
[0044] Run the carbon emission reduction model, simulate the carbon emission changes of the economic infrastructure of the two cities under various hypothetical dispatching strategies, and get the corresponding carbon emission simulation results; for example, simulate how the total carbon dioxide emissions will change if traffic flow is limited in A city and traffic flow guidance is optimized in B city.
[0045] Eown = N1 x Town x Fown x Cf;
[0046] Econg represents the carbon emission of vehicles originally traveling on the congested road segment,
[0047] N1 represents the number of vehicles transferred to the free-flow road segment,
[0048] Tcong represents the time of vehicles traveling on the congested road segment,
[0049] Fcong represents the fuel consumption rate of vehicles on the congested road segment,
[0050] Cf represents the carbon emission factor of fuel,
[0051] Efree = N1 x Tfree x Ffree x Cf;
[0052] Efree represents the carbon emission of vehicles after being transferred to the free-flow road segment,
[0053] N1 represents the number of vehicles transferred to the free-flow road segment,
[0054] Tfree represents the time of vehicles traveling on the free-flow road segment,
[0055] Ffree represents the fuel consumption rate of vehicles on the free-flow road segment,
[0056] Cf represents the carbon emission factor of fuel,
[0057] The impact of traffic flow guidance on carbon emission is ΔEcarbon,
[0058] ΔEcarbon = Econg - Efree;
[0059] Evaluation and output, evaluate the various carbon emission results obtained by simulation, analyze the degree of realization of carbon emission reduction targets and the impact on the economic development of the two cities under different scheduling strategies, such as whether to increase traffic congestion;
[0060] The evaluation results, including the carbon emission changes under different scheduling strategies and the impact on economic development, are output to the shared scheduling algorithm module to provide a basis for generating the optimal shared scheduling strategy.
[0061] Step 4, shared scheduling algorithm step,
[0062] Objective setting, receive the evaluation results from the carbon emission reduction model module, and clearly set the dual goals of maximizing carbon emission reduction and coordinated development of the two cities.
[0063] Algorithm selection and initialization, according to the system requirements and data characteristics, select the appropriate intelligent optimization algorithm, and initialize the selected algorithm to adapt to the solution of the two-city economic infrastructure scheduling problem.
[0064] Optimization scheduling calculation, based on the carbon emission changes and the impact on economic development under different scheduling strategies provided by the carbon emission reduction model module, uses selected intelligent optimization algorithms for optimization scheduling calculation.
[0065] In the algorithm iteration process, the resource allocation, operation time and load adjustment parameters of the inter-city traffic facilities are continuously adjusted to find the optimal scheduling strategy that meets the maximum carbon emission reduction and the economic coordinated development goals of the two cities.
[0066] For example, through algorithm calculation, it is determined how to optimize the traffic flow guidance between the two cities to reduce carbon emissions, etc.
[0067] Strategy generation, when the algorithm reaches the preset stopping condition, such as reaching the maximum number of iterations or finding a solution that meets certain accuracy requirements, a specific shared scheduling strategy is generated, including the traffic facility flow guidance allocation scheme, and the strategy is output to the execution module.
[0068] Step 5, execute step,
[0069] Traffic scheduling sub-module working mode, receiving scheduling instructions about traffic facilities in the shared scheduling strategy.
[0070] According to the instructions, guide the traffic flow between the two cities, for example, through intelligent control of traffic lights, extend the green light time to the direction with heavy traffic during peak hours to reduce congestion; through electronic road signs to publish real-time road condition information to guide vehicles to choose the optimal route; adjust the public transportation capacity, increase the number of buses or rail transit during peak hours, encourage citizens to take public transportation, thereby reducing the frequency of private car use, reducing traffic congestion and carbon emissions.
[0071] Step 6, monitoring and feedback step,
[0072] Monitoring unit working steps, real-time monitoring of the scheduling execution of the execution module on the two-city economic infrastructure. For traffic facilities, monitor whether the traffic congestion situation is improved, whether the traffic flow is flowing in the guided direction, and whether the public transportation capacity meets the demand;
[0073] Feedback unit working steps, collate and analyze various information monitored by the monitoring unit, form a detailed feedback report, and transmit the feedback report to the data processing and analysis module through the network, so that the data processing and analysis module dynamically adjusts the scheduling strategy of the system according to the feedback information, to ensure the continuous realization of the carbon emission reduction target.
[0074] The double-city economic infrastructure carbon emission reduction sharing scheduling system provided by the present application is described in detail. The description of the specific embodiments is only used to help understand the method of the present application and its core idea. It should be pointed out that for ordinary skilled persons in the art, without departing from the principles of the present application, the present application can be improved and modified, and these improvements and modifications also fall within the protection scope of the claims of the present application.
Claims
1. The Twin Cities Economic Infrastructure Carbon Emission Reduction Sharing Scheduling System is characterized by: It includes data acquisition module, data processing and analysis module, carbon emission reduction model module, shared scheduling algorithm module, execution module and monitoring and feedback module; The data acquisition module is used to collect operational data of the economic infrastructure of the two cities; The data processing and analysis module processes and analyzes the collected data; The carbon emission reduction model module constructs a carbon emission reduction model based on the analyzed data; The shared scheduling algorithm module generates a shared scheduling strategy based on the carbon emission reduction model. The execution module performs scheduling operations on the economic infrastructure of the two cities according to the shared scheduling strategy; The monitoring and feedback module is used to monitor the scheduling execution status and provide feedback information to the data processing and analysis module for subsequent adjustments.
2. The dual-city economic infrastructure carbon emission reduction sharing and scheduling system according to claim 1 is characterized in that: The data acquisition module includes multiple sensors installed in various economic infrastructures in Shuangcheng. The sensors are used to collect traffic flow data and carbon emission-related data of the infrastructure. The data acquisition module has a real-time data transmission function and can transmit the collected data to the data processing and analysis module in a timely manner.
3. The dual-city economic infrastructure carbon emission reduction sharing scheduling system according to claim 2 is characterized in that: The data processing and analysis module includes a data cleaning unit, a data feature extraction unit and a data analysis unit; The data cleaning unit is used to remove noise and outliers in the collected data; The data feature extraction unit extracts feature information related to infrastructure operation status and carbon emissions from the cleaned data; The data analysis unit analyzes the operating efficiency and carbon emission trend of the infrastructure based on the extracted feature information, and outputs the analysis results to the carbon emission reduction model module.
4. The dual-city economic infrastructure carbon emission reduction sharing and scheduling system according to claim 3 is characterized in that: The carbon emission reduction model module is constructed based on the economic development goals, infrastructure layout and carbon emission status of the two cities. The carbon emission reduction model can simulate the changes in carbon emissions of the economic infrastructure of the two cities under different scheduling strategies, and provide a carbon emission assessment basis for the shared scheduling algorithm module to determine the optimal shared scheduling strategy to achieve carbon emission reduction goals.
5. The dual-city economic infrastructure carbon emission reduction sharing and scheduling system according to claim 4 is characterized in that: The shared scheduling algorithm module adopts an intelligent optimization algorithm. Based on the evaluation results of the carbon emission reduction model, the shared scheduling algorithm module optimizes the resource allocation and operating time of the transportation facilities between the two cities with the goal of maximizing carbon emission reduction and the coordinated development of the two cities' economy, and generates a specific shared scheduling strategy.
6. The dual-city economic infrastructure carbon emission reduction sharing and scheduling system according to claim 5 is characterized in that: The execution module includes a traffic scheduling submodule; the traffic scheduling submodule guides the traffic flow between the two cities and allocates public transportation capacity based on the shared scheduling strategy to achieve overall coordinated operation of the economic infrastructure of the two cities.
7. The dual-city economic infrastructure carbon emission reduction sharing and scheduling system according to claim 6 is characterized in that: The monitoring and feedback module includes a monitoring unit and a feedback unit; the monitoring unit monitors the execution module's scheduling execution of the twin cities' economic infrastructure in real time, including traffic congestion conditions; the feedback unit organizes and analyzes the monitored information, and transmits the feedback results to the data processing and analysis module, so as to dynamically adjust the system's scheduling strategy to ensure the continued achievement of carbon emission reduction targets.
8. The dual-city economic infrastructure carbon emission reduction sharing and scheduling system according to claim 7 is characterized in that: The system also includes a user interaction interface, which is connected to the data processing and analysis module, for relevant users such as Shuangcheng’s government management departments, infrastructure operating companies, etc. to input Shuangcheng’s economic development needs, policy requirements, and view the system’s operating status, carbon emission reduction effects and other information, thereby realizing interactive operations between users and the system.