Tunnel digital monitoring system and method

Abstract

The invention belongs to the technical field of intelligent tunnel monitoring, and particularly discloses a tunnel digital monitoring system and method, and the system comprises an intelligent sensing unit, a central calculation unit, and an equipment control unit. According to the invention, tunnel traffic abnormal events and fire events can be identified intelligently and accurately, emergency disposal plans of abnormal event scenes can be generated intelligently, tunnel electromechanical equipment can be controlled in a one-button linkage manner, closed-loop management of the whole emergency disposal process is realized, and the system has the characteristics of high abnormal event handling efficiency, high information early warning issuing timeliness and fast linkage response; in addition, the system can also monitor a tunnel operation carbon emission value in real time, provide an energy consumption optimization strategy, realize refined energy consumption monitoring and management, and effectively reduce the tunnel operation cost.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent tunnel monitoring, and in particular to a tunnel digital monitoring system and a tunnel digital monitoring method. Background Art

[0002] At present, the operation and management of tunnels generally have pain points such as high risk of accidents in closed spaces, complex intelligent linkage of massive electromechanical facilities, difficulty in monitoring the entire process of rapid emergency response to events, and high energy consumption of ventilation and lighting equipment. Traditional supervision methods are single, mainly based on video manual supervision, and the granularity of abnormal event supervision is limited, making it impossible to achieve multi-dimensional supervision. Traffic operation characteristics are complex, with the characteristics of tidal concentrated travel accidents, large impact of long-distance closed disaster events, and complex traffic conflicts at nodes of divergence and confluence. There are many types of equipment interfaces, and it is difficult to uniformly access massive facilities and equipment. Data between systems are isolated, data interaction is difficult, and there is a lack of a unified platform for collaborative management. In addition, tunnel ventilation and lighting equipment have high energy consumption, lack of refined energy consumption monitoring and optimization, and it is difficult to achieve low-carbon and low-cost operation of tunnels. Summary of the invention

[0003] The purpose of the present invention is to solve the technical problems existing in the background technology. To this end, a tunnel digital monitoring system and a tunnel digital monitoring method are provided.

[0004] In order to achieve the above object, the technical solution adopted by the present invention is as follows:

[0005] A tunnel digital monitoring system, comprising an intelligent sensing unit, a central computing unit, and an equipment control unit;

[0006] The intelligent sensing unit collects dynamic traffic flow parameters, traffic anomaly data and fire event alarm information in real time, and transmits it to the central computing unit for integrated calculation and judgment, online simulation and deduction, to generate the optimal emergency response plan and control instructions, and sends them to the basic equipment through the equipment control unit for linkage control;

[0007] The intelligent sensing unit collects the energy consumption data of the basic equipment in real time and transmits it to the central computing unit to calculate the carbon emission index, generate the best energy consumption optimization strategy and strategy instructions, and send them to the basic equipment through the equipment control unit for optimization control.

[0008] The following is a technical solution further defined by the system in the present invention, wherein the intelligent sensing unit includes a high-definition bayonet camera, a fire detection device, an environmental sensing device, and an energy consumption sensing device;

[0009] The high-definition bayonet camera is used to collect dynamic traffic flow parameters in real time;

[0010] The fire detection equipment is used to collect fire events in real time;

[0011] The environmental perception device is used to collect abnormal traffic event data in real time;

[0012] The energy consumption sensing device is used to collect energy consumption data of basic equipment in real time.

[0013] The following is a technical solution further defined by the system in the present invention, wherein the central computing unit includes a digital base module, a real-time monitoring module, a simulation module, an emergency command module, and an energy consumption optimization module;

[0014] The digital base module of the central computing unit is used to receive dynamic traffic flow parameters, traffic abnormality event data, fire event generation alarm information and basic equipment energy consumption data in real time, and perform data storage and data management;

[0015] The real-time monitoring module of the central computing unit is used to receive dynamic traffic flow parameters, traffic abnormality event data and fire event generated alarm information in real time, perform fusion calculation and judgment, and analyze safety risks and event impact range;

[0016] The simulation module of the central computing unit is used to receive the fusion computing and judgment results, dynamic traffic flow parameters, traffic abnormality event data and fire event generation alarm information in real time, and perform online simulation and deduction of emergency response plans through an online simulation engine to generate the optimal emergency response plan;

[0017] The emergency command module of the central computing unit is used to receive the optimal emergency response plan in real time and generate control instructions, which are sent to the basic equipment through the equipment control unit for linkage control;

[0018] The energy consumption optimization module of the central computing unit is used to receive the energy consumption data of the basic equipment in real time, calculate the carbon emission index, generate the best energy consumption optimization strategy according to the traffic flow status of the tunnel operation, and send the strategy instructions to the basic equipment through the equipment control unit for adjustment and control.

[0019] The following is a technical solution further defined by the system in the present invention, wherein the equipment control unit includes a zone controller, a PLC controller, a lighting centralized controller, and a fire fighting linkage controller, which are used to transmit linkage control instructions to basic equipment for linkage control.

[0020] A monitoring method based on the above-mentioned tunnel digital monitoring system, the digital base module of the central computing unit receives in real time the dynamic traffic flow parameters, traffic abnormal event data and fire event generation alarm information sent by the intelligent perception unit, the real-time monitoring module of the central computing unit obtains the dynamic traffic flow parameters, traffic abnormal event data and fire event generation alarm information from the digital base module, performs fusion calculation and judgment, analyzes the safety risks and the scope of event impact, the simulation and deduction module of the central computing unit combines the fusion calculation and judgment results, dynamic traffic flow parameters, traffic abnormal event data and fire event generation alarm information, performs online simulation and deduction of emergency response plans through an online simulation engine, and generates an optimal emergency response plan, the emergency command module of the central computing unit receives the optimal emergency response plan in real time, generates control instructions, and the control instructions are sent to the basic equipment through the equipment control unit for linkage control.

[0021] The following is a technical solution further defined by the method in the present invention. The digital base module of the central computing unit receives the dynamic traffic flow parameters and basic equipment energy consumption data sent by the intelligent perception unit in real time. The energy consumption optimization module of the central computing unit obtains the dynamic traffic flow parameters and basic equipment energy consumption data from the digital base module, calculates the carbon emission index, and generates the best energy consumption optimization strategy according to the tunnel operation traffic flow status. The strategy instructions are sent to the basic equipment through the equipment control unit for adjustment and control.

[0022] Compared with the prior art, the present invention has the following technical effects:

[0023] The present invention can intelligently and accurately identify abnormal tunnel traffic events and fire events, intelligently generate emergency response plans for abnormal event scenarios, and control tunnel electromechanical equipment in a one-click linkage manner to achieve closed-loop management of the entire emergency response process. It has the characteristics of high efficiency in handling abnormal events, high timeliness of information warning release, and fast linkage response. The system can also monitor the carbon emission values ​​of tunnel operations in real time, provide energy consumption optimization strategies, realize refined energy consumption monitoring and management, and effectively reduce tunnel operating costs.

[0024] The present invention is further described below in conjunction with the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0026] Figure 1 It is the architecture diagram of the tunnel digital monitoring system of the present invention. DETAILED DESCRIPTION

[0027] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the specific embodiments of the present invention are described in detail below in conjunction with the accompanying drawings. In the following description, many specific details are set forth to facilitate a full understanding of the present invention. However, the present invention can be implemented in many other ways different from those described herein, and those skilled in the art can make similar improvements without violating the connotation of the present invention, so the present invention is not limited by the specific embodiments disclosed below.

[0028] like Figure 1 As shown, the tunnel digital monitoring system provided in this embodiment acts on the basic equipment K, including an intelligent sensing unit S1, a central computing unit S2, and an equipment control unit S3.

[0029] The intelligent sensing unit S1 includes a high-definition bayonet camera S11, a fire detection device S12, an environmental sensing device S13, an energy consumption sensing device S14, and the like.

[0030] The central computing unit S2 includes a digital base module S21, a real-time monitoring module S22, a simulation module S23, an emergency command module S24, and an energy consumption optimization module S25.

[0031] The equipment control unit S3 includes a zone controller S31, a PLC controller S32, a lighting centralized controller S33, a fire fighting linkage controller S34, etc.

[0032] The intelligent sensing unit S1 and the central computing unit S2 are interconnected through the communication module W optical fiber private network W1, which is used to stably and reliably transmit real-time dynamic traffic flow parameters, traffic abnormality event data, fire event generated alarm information and basic equipment energy consumption data; the central computing unit S2 and the equipment control unit S3 are interconnected through the communication module W optical fiber private network W1, which is used to stably and reliably transmit control instructions and adjustment instructions.

[0033] The energy consumption sensing device S14 of the intelligent sensing unit S1 is interconnected with the basic equipment K through a multi-integrated communication method, including a fiber-optic private network W1, an Internet of Things W2, an industrial bus network W3, a serial communication network RS485 / RS232 W4, a PLC W5, etc., for transmitting real-time energy consumption data of the basic equipment; the equipment control unit S3 is interconnected with the basic equipment K through a multi-integrated communication method, including a fiber-optic private network W1, an Internet of Things W2, an industrial bus network W3, a serial communication network RS485 / RS232 W4, a PLC W5, etc., for timely issuing control instructions and adjustment instructions.

[0034] The embodiment of the present invention is applicable to the intelligent handling of abnormal events in tunnels. During the operation of the system, the digital base module S21 of the central computing unit S2 receives in real time the dynamic traffic flow parameters, abnormal traffic event data, and fire event generation alarm information sent by the intelligent perception unit S1. The real-time monitoring module S22 of the central computing unit S2 obtains the dynamic traffic flow parameters, abnormal traffic event data, and fire event generation alarm information from the digital base module S21, performs fusion calculation and judgment, and analyzes the safety risks and the impact range of the event. The simulation and deduction module S23 of the central computing unit S2 combines the fusion calculation and judgment results, dynamic traffic flow parameters, abnormal traffic event data, and fire event generation alarm information, performs online simulation and deduction of emergency response plans through an online simulation engine, and generates an optimal emergency response plan. The emergency command module S24 of the central computing unit S2 receives the optimal emergency response plan in real time and generates control instructions. The control instructions are sent to the basic equipment K through the equipment control unit S3 for linkage control.

[0035] The embodiment of the present invention is suitable for real-time monitoring and management of tunnel energy consumption. During the operation of the system, the digital base module S21 of the central computing unit S2 receives in real time the dynamic traffic flow parameters, basic equipment energy consumption data, etc. sent by the intelligent perception unit S1. The energy consumption optimization module S25 of the central computing unit S2 obtains the dynamic traffic flow parameters and basic equipment energy consumption data from the digital base module S21, calculates the carbon emission index, and generates the best energy consumption optimization strategy according to the tunnel operation traffic flow status. The strategy instructions are sent to the basic equipment K through the equipment control unit S3 for adjustment and control.

[0036] In the embodiment of the present invention, tunnel abnormal events are one of the key factors affecting tunnel operation and management. The efficient handling of tunnel abnormal events plays an important role in ensuring the safe and efficient operation of the tunnel. They mainly include traffic abnormal events and fire events. Among them, traffic abnormal events include traffic congestion, abnormal parking, vehicle reversing and pedestrian detection, etc. Fire events include new energy vehicle fire events, fuel vehicle fire events and hybrid vehicle fire events, etc., which are monitored in the embodiment of the present invention.

[0037] In the embodiment of the present invention, the basic equipment K mainly includes traffic guidance equipment K1, ventilation equipment K2, lighting equipment K3, water supply and drainage equipment K4, fire fighting equipment K5, etc., which serve as controlled objects in the embodiment of the present invention.

[0038] In the embodiment of the present invention, the communication module W mainly includes a fiber optic private network W1, an Internet of Things W2, an industrial bus network W3, a serial communication network RS485 / RS232 W4, a PLC W5, etc., which are used to transmit basic equipment energy consumption data and linkage instructions in the embodiment of the present invention.

[0039] The above is only a preferred embodiment of the present invention, and does not limit the present invention in any form. Any technician familiar with the art can make many possible changes and modifications to the technical solution of the present invention by using the above disclosed methods and technical contents without departing from the scope of the technical solution of the present invention, or modify it into an equivalent embodiment of equivalent changes. Therefore, all equivalent changes made according to the shape, structure and principle of the present invention without departing from the content of the technical solution of the present invention should be included in the protection scope of the present invention.

Claims

1. A tunnel digital monitoring system, characterized in that: It includes intelligent sensing unit, central computing unit and equipment control unit; The intelligent sensing unit collects dynamic traffic flow parameters, traffic anomaly data and fire event alarm information in real time, and transmits it to the central computing unit for integrated calculation and judgment, online simulation and deduction, to generate the optimal emergency response plan and control instructions, and sends them to the basic equipment through the equipment control unit for linkage control; The intelligent sensing unit collects the energy consumption data of the basic equipment in real time and transmits it to the central computing unit to calculate the carbon emission index, generate the best energy consumption optimization strategy and strategy instructions, and send them to the basic equipment through the equipment control unit for optimization control.

2. A tunnel digital monitoring system as claimed in claim 1, characterized in that: The intelligent sensing unit includes a high-definition bayonet camera, a fire detection device, an environmental sensing device, and an energy consumption sensing device; The high-definition bayonet camera is used to collect dynamic traffic flow parameters in real time; The fire detection equipment is used to collect fire events in real time; The environmental perception device is used to collect abnormal traffic event data in real time; The energy consumption sensing device is used to collect energy consumption data of basic equipment in real time.

3. A tunnel digital monitoring system as claimed in claim 1, characterized in that: The central computing unit includes a digital base module, a real-time monitoring module, a simulation module, an emergency command module, and an energy consumption optimization module; The digital base module of the central computing unit is used to receive dynamic traffic flow parameters, traffic abnormality event data, fire event generation alarm information and basic equipment energy consumption data in real time, and perform data storage and data management; The real-time monitoring module of the central computing unit is used to receive dynamic traffic flow parameters, traffic abnormality event data and fire event generated alarm information in real time, perform fusion calculation and judgment, and analyze safety risks and event impact range; The simulation module of the central computing unit is used to receive the fusion computing results, dynamic traffic flow parameters, traffic abnormality event data and fire event generation alarm information in real time, and perform online simulation and deduction of emergency response plans through an online simulation engine to generate the optimal emergency response plan; The emergency command module of the central computing unit is used to receive the optimal emergency response plan in real time and generate control instructions, which are sent to the basic equipment through the equipment control unit for linkage control; The energy consumption optimization module of the central computing unit is used to receive the energy consumption data of the basic equipment in real time, calculate the carbon emission index, generate the best energy consumption optimization strategy according to the traffic flow status of the tunnel operation, and send the strategy instructions to the basic equipment through the equipment control unit for adjustment and control.

4. A tunnel digital monitoring system as claimed in claim 1, characterized in that: The equipment control unit includes a zone controller, a PLC controller, a lighting centralized controller, and a fire fighting linkage controller, which are used to transmit linkage control instructions to basic equipment for linkage control.

5. A monitoring method of a tunnel digital monitoring system based on any one of claims 1 to 4, characterized in that: The digital base module of the central computing unit receives in real time the dynamic traffic flow parameters, abnormal traffic event data and fire event alarm information sent by the intelligent perception unit. The real-time monitoring module of the central computing unit obtains the dynamic traffic flow parameters, abnormal traffic event data and fire event alarm information from the digital base module, performs fusion calculation and judgment, and analyzes the safety risks and the impact range of the event. The simulation and deduction module of the central computing unit combines the fusion calculation and judgment results, dynamic traffic flow parameters, abnormal traffic event data and fire event alarm information, and performs online simulation and deduction of emergency response plans through the online simulation engine to generate the optimal emergency response plan. The emergency command module of the central computing unit receives the optimal emergency response plan in real time and generates control instructions. The control instructions are sent to the basic equipment through the equipment control unit for linkage control.

6. The monitoring method according to claim 5, characterized in that: The digital base module of the central computing unit receives the dynamic traffic flow parameters and basic equipment energy consumption data sent by the intelligent perception unit in real time. The energy consumption optimization module of the central computing unit obtains the dynamic traffic flow parameters and basic equipment energy consumption data from the digital base module, calculates the carbon emission indicators, and generates the best energy consumption optimization strategy according to the tunnel operation traffic flow status. The strategy instructions are sent to the basic equipment through the equipment control unit for adjustment and control.

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