Intelligent operation and maintenance method for fusion regional network space

Abstract

The invention relates to a fusion regional network space intelligent operation and maintenance method, which comprises the following steps of S1, establishing a ubiquitous sensing system of a fusion regional network space based on multiple sensing technologies, and obtaining multi-source heterogeneous data in and around a region and comprehensively covering operation situation parameters in the region through data feedback with a city CIM system; s2, constructing a situation vector parameter library based on the multi-source sensing parameters, and establishing a situation operation model based on the temporal and spatial change rule of each parameter to perform situation prediction in the region; and S3, performing front-end information fusion and identification based on multi-modal data, including structure information fusion, environment information fusion, energy consumption information fusion, passenger flow information fusion and event information fusion, and realizing front-end identification and evaluation of fusion network space comprehensive situation parameters. According to the invention, the efficiency and the safety of the operation of a fusion area covering multi-layer structures including ground, underground and air and facing multiple objects such as national railways, hubs, subways, buses, local governments and the public are improved.

Description

Technical Field

[0001] The present invention belongs to the technical field of intelligent operation and maintenance, and particularly relates to a method for intelligent operation and maintenance of a fusion regional network space. Background Art

[0002] With the continuous acceleration of the urbanization process, the urban scale is constantly expanding, the population is continuously growing, and the station-city integration areas in the city are facing unprecedented management and operation and maintenance challenges. The station-city integration areas usually concentrate high-density people flow, complex energy demands, variable environmental factors, and various emergencies, bringing huge pressure to the daily operation and maintenance management of the city. Especially the integration of multi-level structures on the ground, underground, and in the air forms a three-dimensional network space with diverse functions and highly complex structures. This highly integrated urban space involves multi-party cooperation such as national railways, subways, and buses, as well as the joint participation of the government and the public. Especially in the transportation hubs and their surrounding areas, how to effectively manage and coordinate various resources to ensure efficient and safe operation has become an urgent task.

[0003] Existing management methods mostly rely on manual monitoring, traditional emergency plans, and independent operation and maintenance systems, lacking comprehensive consideration of multiple dimensions, multiple levels, and multiple fields. These traditional management means often cannot respond in a timely manner to the rapidly changing urban demands and emergencies, and it is also difficult to carry out precise resource allocation and optimization in the high-density urban space. Due to the lack of a systematic collaborative working mechanism, the handling of various events often has problems such as slow response, information lag, and unreasonable resource allocation, affecting the efficiency and safety of urban operation. Especially when emergency events occur, existing emergency command systems mostly cannot achieve instant sharing and rapid response of information, resulting in the threat to public safety during disasters cannot be effectively controlled. Therefore, there is an urgent need for a more intelligent, precise, and efficient management method to solve these problems. Summary of the Invention

[0004] In view of the above problems, the present invention provides a method for intelligent operation and maintenance of a fusion regional network space, aiming to improve the efficiency and safety of the operation of the fusion area covering multi-level structures including the ground, underground, and in the air, and facing multiple objects such as national railways, hubs, subways, buses, local governments, and the public, and has good promotion and application value.

[0005] To achieve the above object, the technical solution of the present invention is as follows:

[0006] A method for intelligent operation and maintenance of a fusion regional network space includes the following steps:

[0007] S1, establishing a ubiquitous perception system for the fusion regional network space based on multiple perception technologies, and obtaining multi-source heterogeneous data within and around the area through data feedback with the urban CIM system, comprehensively covering the operation state parameters within the area;

[0008] S2. Based on multi-source perception parameters, construct a situation vector parameter library, establish a situation operation model based on the spatio-temporal variation laws of each parameter, and conduct situation prediction within the region.

[0009] S3. Conduct front-end information fusion and identification based on multi-modal data, including structural information fusion, environmental information fusion, energy consumption information fusion, passenger flow information fusion, and situation information fusion, to achieve front-end identification and evaluation of the comprehensive situation parameters in the fusion network space.

[0010] Preferably, in the step S1, the multiple perception technologies include fiber optic sensing technology, machine vision technology, mobile phone signaling technology, WiFi detection technology, and infrared detection technology.

[0011] Preferably, the properties of the multi-source perception parameters include structure, environment, energy consumption, passenger flow, and situation.

[0012] Preferably, in the step S3, based on the massive multi-source perception parameters, combined with the front-end identification and evaluation of the perception object and parameters, establish a dynamic mapping relationship and expression method for multi-dimensional operation property characteristic indicators, and based on the parameter classification and threshold determination of various indicators, give an intelligent evaluation of various operation properties, and then formulate corresponding daily operation and maintenance management and decision-making plans.

[0013] Preferably, it further includes step S4 of constructing an emergency command system, and the emergency command includes situation identification, plan formulation, risk suppression, personnel evacuation, real-time evaluation, and optimization.

[0014] Preferably, in the step S4, for emergency events such as floods, fires, epidemics, and abnormal behaviors that may threaten public safety, construct a flood inundation identification model, a smoke dynamic identification model, an integrated passenger flow perception model, and an abnormal behavior identification model to conduct situation identification, and through simulation deduction, divide the corresponding risk levels, and formulate emergency event mitigation plans for different risk levels.

[0015] Preferably, the emergency command further includes material dispatching and post-disaster recovery.

[0016] Preferably, the object-oriented of the fusion regional network space intelligent operation and maintenance method includes administrative departments, hub operation units, railway operation units, subway operation units, bus operation units, and the public.

[0017] Preferably, in step S4, for predictable holiday periods or important event periods, based on the prediction of the surrounding areas and high-density passenger flows within the area, an emergency plan is formulated in advance, and government departments, subway operation units, and bus operation units are coordinated to rationally allocate public resources such as subways, buses, taxis, and online car-hailing services, and the resource allocation situation is adjusted in real time according to the emergency plan. At the same time, real-time information guidance is pushed to the public gathering within the area to help the public reach their destinations as soon as possible.

[0018] Preferably, in step S4, for the abnormal passenger flow aggregation within the area caused by large-scale train delays due to natural disasters, by obtaining railway passenger arrival and departure information through networking, government departments, subway operation units, and bus operation units are coordinated to conduct emergency dispatching of public resources such as subways, buses, taxis, and online car-hailing services, and at the same time, real-time information guidance is pushed to the public gathering within the area to help quickly disperse the aggregated passenger flow within the area.

[0019] Compared with the prior art, the advantages of the present invention are as follows:

[0020] The integrated regional cyber space intelligent operation and maintenance method provided by the present invention is based on the key technologies of intelligent operation and maintenance in the integrated station-city area, constructs an intelligent operation and maintenance technology system and business system for three-dimensional cyber space multi-functional areas and multi-user spaces, covering multiple technical fields such as intelligent perception, intelligent recognition, intelligent control, heterogeneous data sharing, and spatial mapping. The combination of these technologies enables the operation and maintenance system to comprehensively realize the comprehensive management of urban transportation hubs and surrounding areas, creating a regional management platform with perfect functions, comprehensive services, and flexible scalability. This platform can not only efficiently integrate various management requirements such as transportation, energy, environment, and security, but also be interconnected with other management systems in the city to improve the operation and maintenance efficiency of the entire urban area. The present invention focuses on multiple key areas, including passenger flow management, environmental monitoring, structural safety, energy efficiency improvement, and emergency safety handling, etc., which can significantly optimize the decision-making support ability of the station area management department and improve the safety and emergency management level. In practical applications, the present invention helps various management departments timely discover potential problems through accurate data collection and analysis, and take appropriate countermeasures to reduce risks caused by environmental changes or emergencies. At the same time, this method can improve the travel experience of passengers by providing real-time traffic information, accurate resource scheduling, and efficient emergency response through intelligent means. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] Figure 1 is a schematic diagram of the modules of the integrated cyber space intelligent operation and maintenance method according to an embodiment of the present invention;

[0022] Figure 2 is a schematic flowchart of the integrated cyber space intelligent operation and maintenance method according to an embodiment of the present invention. Detailed implementation mode

[0023] The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art belong to the scope of the present invention.

[0024] In addition, the described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments. In the following description, many specific details are provided to give a thorough understanding of the embodiments of the present application. However, those skilled in the art will realize that the technical solutions of the present application can be practiced without one or more of the specific details, or other methods, components, devices, steps, etc. may be used. In other cases, well-known methods, devices, implementations, or operations are not shown or described in detail to avoid obscuring aspects of the present application.

[0025] Refer to Figure 1-2 , the present invention provides a method for intelligent operation and maintenance of the integrated regional network space, including the following steps:

[0026] S1. Establish a ubiquitous sensing system for the integrated regional network space based on multiple sensing technologies. Through data feedback with the urban CIM system, obtain multi-source heterogeneous data within and around the region, and comprehensively cover the operation state parameters within the region. These data provide basic support for subsequent intelligent operation and maintenance, and can help managers fully understand the real-time situation within the region and provide effective data basis for decision-making.

[0027] Further, in step S1, the multiple sensing technologies include fiber optic sensing technology, machine vision technology, mobile phone signaling technology, WiFi detection technology, and infrared detection technology, etc. Fiber optic sensing technology can monitor the structural deformation within the region in real time. Machine vision technology can collect and analyze images of environmental changes and equipment operation states. Mobile phone signaling technology provides information about the population density and flow through the signals of user devices. WiFi detection technology is used to obtain wireless signal data within the region, thereby reflecting the distribution and movement of personnel and equipment. Infrared detection technology can be used to monitor environmental temperature changes, especially playing an important role in emergency events such as fires. The integration of these technologies enables the sensing system to obtain more comprehensive and accurate multi-source data, providing rich information support for subsequent analysis.

[0028] The properties of the data obtained through these multi-source perception technologies include structure, environment, energy consumption, passenger flow, and situation. Structural information mainly involves the health status of buildings, facilities, etc., such as cracks, settlements, etc.; environmental information reflects environmental parameters such as temperature, humidity, and air pressure in the area to help judge the natural conditions in the area; energy consumption information includes the consumption of energy such as electricity, heat, and water, which is used to monitor the energy utilization efficiency in the area; passenger flow information helps predict high-density passenger flow periods and locations by analyzing personnel flow data in the area, and optimizes traffic and resource allocation; situation information includes data on abnormal events, emergencies, etc., providing key basis for emergency response. These multi-dimensional data provide comprehensive situation awareness capabilities for regional operation and maintenance, ensuring that managers can grasp the regional operation status in real time and make rapid responses.

[0029] S2, Based on multi-source perception parameters, construct a situation vector parameter library. Based on the spatio-temporal variation laws of each parameter, establish a situation operation model for situation prediction within the area. This model can perform situation prediction within the area according to the real-time collected data, helping managers timely grasp the dynamic changes in the area, predict potential risks and problems, and thus provide early warnings for decision-making. By continuously updating and optimizing this model, the flexibility and response speed of regional management can be enhanced.

[0030] S3, Based on the front-end information fusion and identification of multi-modal data, including structural information fusion, environmental information fusion, energy consumption information fusion, passenger flow information fusion, and situation information fusion, achieve the front-end identification and evaluation of comprehensive situation parameters in the fusion network space. This process improves the accuracy and efficiency of operation and maintenance management through intelligent fusion and identification, providing a powerful decision-making tool for different departments and users.

[0031] Furthermore, in step S3, based on a large amount of multi-source perception parameters, combined with the front-end identification and evaluation of the perception object and parameters, a dynamic mapping relationship and expression method of multi-dimensional operational behavior characteristic indicators are established. And based on the parameter classification and threshold determination of various indicators, an intelligent evaluation of various operational behaviors is given, and then corresponding daily operation and maintenance management and decision-making plans are formulated. By analyzing and integrating the massive data from different perception technologies, the system can comprehensively evaluate the multi-dimensional operational behaviors in the region, such as structural health, environmental status, energy consumption efficiency, passenger flow density, and the development of the situation. In this process, the front-end identification and evaluation of the perception object and parameters ensure the accuracy and timeliness of the data, thus providing a comprehensive perception of various operational states in the region. For each operational behavior, the system will make a determination according to the preset classification rules and thresholds. The intelligent evaluation system can, according to different operating conditions, real-time evaluate whether the current operating state of the region is within the normal range or whether there are abnormal phenomena. Through this intelligent evaluation mechanism, the system can timely discover potential risks and problems. Based on these intelligent evaluation results, the system can automatically generate daily operation and maintenance management plans and emergency response decision-making plans according to different operating states, risk levels, and warning signals. These plans can help managers make decisions more quickly in actual operations, optimize resource allocation, and ensure the efficient and safe operation of the region.

[0032] In this embodiment, step S4 is further included, which constructs an emergency command system. The emergency command includes situation identification, plan formulation, risk suppression, personnel evacuation, real-time evaluation, and optimization. In this step, the system first needs to monitor various events in the region in real time through perception data to perform accurate situation identification. This process is achieved by integrating multiple identification models. Especially in the event of an emergency, through intelligent judgment, the situation is classified, evaluated, and responded to. For example, events that may threaten public safety, such as floods, fires, epidemics, or abnormal behaviors, need special attention and timely response. In these cases, the system can use the constructed flood identification model, smoke dynamic identification model, integrated passenger flow perception model, and abnormal behavior identification model to perform situation identification. These models provide timely data analysis and judgment for different types of emergency events respectively. Through these identification models, the system can monitor and accurately identify events that may pose a threat to public safety in real time. Further, through simulation and deduction, the system divides the corresponding risk levels, classifies according to the severity of the situation, and then formulates emergency event mitigation plans for different risk levels. These plans include rapid response measures, resource allocation plans, personnel evacuation guidelines, etc., to ensure the effective response to various emergencies and minimize potential risks.

[0033] In addition, the emergency command system also includes functions for material dispatching and post-disaster recovery. After an emergency occurs, the system can allocate the required material, equipment, and personnel resources according to the real-time evaluation data to ensure the smooth implementation of various emergency measures. At the same time, post-disaster recovery is also included in the system management scope to ensure that the affected areas can resume normal operation as soon as possible. Through the comprehensive emergency command system, emergencies can be quickly and effectively responded to, ensuring the safety of the public in the region.

[0034] In this embodiment, the object-oriented of the method for integrating regional cyber space intelligent operation and maintenance includes administrative departments, hub operation units, railway operation units, subway operation units, bus operation units, and the public. When implementing this method, the system can provide customized services and decision-making support according to different management requirements and target objects. For administrative departments, the system provides regional management and coordination functions to help optimize resource allocation and improve the efficiency of public services; for various operation units, including hub operation, railway, subway, and bus operation units, the system provides real-time data monitoring, predictive analysis, and emergency response support; for the public, the system can provide travel suggestions, traffic arrangements, and safety tips through information push and guidance to ensure that the public can receive effective help in case of emergencies.

[0035] In step S4, in a specific application scenario, for predictable holiday periods or important event periods, based on the prediction of the surrounding areas and high-density passenger flows within the region, corresponding emergency plans are formulated in advance. The system predicts the areas and periods of high-density passenger flows that may occur during holidays or important events by analyzing historical passenger flow data and real-time monitoring. On this basis, corresponding emergency plans are formulated in advance, and relevant parties such as government departments, subway operation units, and bus operation units are linked to reasonably allocate public resources such as subways, buses, taxis, and online car-hailing services. According to the real-time monitoring data, the system can dynamically adjust the resource allocation to ensure that public transportation can meet sudden demands. In addition, the system adjusts the resource allocation situation in real time according to the emergency plan and provides real-time information guidance to the public gathering within the region through information push to help the public reach their destinations as soon as possible, reduce congestion and delays, and improve travel efficiency.

[0036] In step S4, in a specific application scenario, for the abnormal passenger flow aggregation within the area caused by the large-scale train delays due to natural disasters, the system obtains the arrival and departure information of railway passengers through networking. These information can reflect the arrival and departure situation of trains in real time, so as to predict the problem of abnormal passenger flow aggregation that may be caused by large-scale train delays. After obtaining the relevant information, the system will link relevant units such as government departments, subway operation units, and bus operation units to conduct emergency dispatching of public resources such as subways, buses, taxis, and online car-hailing services. Through this linkage mechanism, public transportation resources can be quickly allocated to relieve the traffic pressure caused by train delays. At the same time, the system will push real-time information guidance to the public aggregated within the area to help the public understand the traffic conditions and make reasonable travel adjustments, so as to quickly disperse the aggregated passenger flow within the area, ensure smooth traffic, and improve the travel experience of the public.

[0037] The present invention provides a method for intelligent operation and maintenance of a fusion regional network space, aiming to establish a comprehensive regional network space perception system through various sensing technologies and deep learning algorithms, and combine an intelligent evaluation and decision-making mechanism to optimize the operation management within the region. The method includes multiple key steps, such as the collection and processing of multi-source perception parameters, situation prediction and evaluation, and the construction of an emergency command system, etc., which can comprehensively cover multi-dimensional information such as the structure, environment, energy consumption, and passenger flow within the region, and provide accurate decision-making support in real time. Through these technical means, the system can ensure the optimal allocation of resources while realizing efficient and intelligent emergency response and operation and maintenance management. First, the system can efficiently and accurately perceive and predict the operation situation within the region, effectively improving the accuracy and response speed of regional management; second, through the intelligent evaluation and dynamic decision-making mechanism, the system can timely adjust the resource allocation in various emergencies to ensure regional safety and order; in addition, the present invention shows strong flexibility and emergency handling capabilities in passenger flow management during holidays and important events and the response to abnormal passenger flow caused by natural disasters, greatly improving the efficiency of urban management and the travel experience of the public.

[0038] The present invention can significantly improve the efficiency and safety of urban operation, help various operation units cope with the complex and changeable urban environment, and promote the sustainable development of the city. In addition, the present invention provides an innovative solution in dealing with the complexity of the integrated station-city three-dimensional network space, providing important reference and experience for the realization of future urban intelligent management, especially in the highly integrated and optimized aspects of urban transportation hubs and their surrounding areas, and making positive contributions to the development of related fields.

[0039] The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it; under the idea of the present invention, the technical features in the above embodiments or different embodiments can also be combined, and the steps can be implemented in any order, and there are many other variations in different aspects of the present invention as described above. For the sake of brevity, they are not provided in detail; although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions recorded in the foregoing embodiments, or perform equivalent replacements on some of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the scope of the technical solutions of the various embodiments of the present invention.

Claims

1. A method for intelligent operation and maintenance of integrated regional network space, characterized in that: The following steps are involved: S1, based on multiple sensing technologies, establishes a ubiquitous sensing system that integrates regional network space. Through data feedback from the city CIM system, it obtains multi-source heterogeneous data in and around the region, and comprehensively covers the operating status parameters in the region; S2, based on multi-source perception parameters, build a state vector parameter library, and based on the temporal and spatial variation laws of each parameter, establish a situation operation model to predict the situation in the region; S3, based on the front-end information fusion and identification of multimodal data, including structural information fusion, environmental information fusion, energy consumption information fusion, passenger flow information fusion and event information fusion, realizes the front-end identification and evaluation of the comprehensive situation parameters of the integrated cyberspace.

2. The method for intelligent operation and maintenance of a fusion regional network space according to claim 1 is characterized in that: In step S1, the multiple sensing technologies include optical fiber sensing technology, machine vision technology, mobile phone signaling technology, WiFi detection technology and infrared detection technology.

3. The method for intelligent operation and maintenance of integrated regional network space according to claim 2 is characterized in that: The properties of the multi-source perception parameters include structure, environment, energy consumption, passenger flow, and events.

4. The method for intelligent operation and maintenance of a fusion regional network space according to claim 3 is characterized in that: In step S3, based on the massive multi-source perception parameters, combined with the front-end identification and evaluation of the perception objects and parameters, a dynamic mapping relationship and expression method of the multi-dimensional operating performance characteristic indicators are established, and based on the parameter classification and threshold judgment of each type of indicator, an intelligent evaluation of each type of operating performance is given, and then corresponding daily operation and maintenance management and decision-making plans are formulated.

5. The method for intelligent operation and maintenance of integrated regional network space according to claim 4 is characterized in that: The method further includes step S4 of constructing an emergency command system, wherein the emergency command includes situation identification, plan formulation, risk control, personnel evacuation, and real-time evaluation and optimization.

6. The method for intelligent operation and maintenance of integrated regional network space according to claim 5 is characterized in that: In step S4, for emergency events such as floods, fires, epidemics, and abnormal behaviors that may threaten public safety, a flood recognition model, a smoke dynamic recognition model, an integrated passenger flow perception model, and an abnormal behavior recognition model are constructed to identify events, and through simulation and deduction, corresponding risk levels are divided and emergency event mitigation plans of different risk levels are formulated.

7. The method for intelligent operation and maintenance of a fusion regional network space according to claim 6 is characterized in that: The emergency command also includes material dispatch and post-disaster recovery.

8. The method for intelligent operation and maintenance of integrated regional network space according to claim 5 is characterized in that: The objects of the integrated regional cyberspace intelligent operation and maintenance method include administrative departments, hub operating units, railway operating units, subway operating units, bus operating units and the public.

9. The method for intelligent operation and maintenance of a fusion regional network space according to claim 8, characterized in that: In step S4, for predictable holiday periods or important event periods, based on the prediction of high-density passenger flow in the surrounding areas and the region, an emergency plan is formulated in advance, and government departments, subway operating units, and bus operating units are linked to reasonably allocate public resources such as subways, buses, taxis, and online ride-hailing vehicles. The resource allocation is adjusted in real time according to the emergency plan, and real-time information guidance is pushed to the public gathered in the area to help the public reach the destination as soon as possible.

10. The method for intelligent operation and maintenance of integrated regional network space according to claim 8, characterized in that: In step S4, for abnormal passenger flow accumulation in the area caused by large-scale train delays due to natural disasters, the arrival and departure information of railway passengers is obtained through the Internet, and government departments, subway operating units, and bus operating units are linked to carry out emergency dispatch of public resources such as subways, buses, taxis, and online car-hailing services. At the same time, real-time information guidance is pushed to the public gathered in the area to help relieve the accumulated passenger flow in the area as soon as possible.

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