Threshold decision based intelligent switching control system for tunnel lighting safety and energy saving mode

Abstract

The present application relates to a kind of tunnel lighting safety energy-saving mode intelligent switching control system based on threshold decision, belong to tunnel lighting intelligent control technical field.The system includes: data layer, except providing conventional benchmark control analysis parameter, season and weather, tunnel length and linear, portal type and hole interior environment are also used as the basis of threshold decision selection;Threshold analysis layer, according to the parameter and information of data layer, the safety and energy-saving evaluation of tunnel lighting is carried out, the energy consumption analysis of different control modes is used, and the threshold interval of control priority and control mode selection of the present operation is determined according to the principle of safety guarantee first and energy saving maximum;Control decision layer, according to the analysis result of threshold analysis layer, and combine the automatic selection of control mode according to the present tunnel operating condition and actual demand priority, and when operating condition and operating parameter change, control decision layer can automatically switch to the control mode most suitable for actual demand.

Description

Technical Field

[0001] This invention belongs to the field of intelligent control technology for tunnel lighting, and relates to an intelligent switching control system for tunnel lighting safety and energy-saving modes based on threshold decision-making. Background Technology

[0002] The increasing number of highway tunnels has led to higher and higher operating costs for tunnel lighting. With the development of digital technology, intelligent control of tunnel lighting has become the mainstream. Depending on the characteristics of different tunnels, the main lighting control methods are time-sequential control and intelligent control based on traffic flow and external brightness. In some areas with low traffic volume, the "lights on when cars come and off when cars leave" intelligent control method is adopted. Different control methods have played a role in reducing tunnel lighting energy consumption to a certain extent.

[0003] Because tunnel lighting's ability to meet actual safety and energy-saving operational needs is influenced by various factors, current lighting control strategies are formulated based on operating conditions. Aside from manual assessments of accident, maintenance, and equipment malfunction situations, under normal operating conditions, dimming control can only be implemented according to pre-set modes. It lacks the ability to automatically switch between different intelligent control modes based on actual traffic volume and tunnel brightness. This is because the tunnel lighting control field currently lacks automatic switching technology for intelligent control modes that maximize energy savings while ensuring safe operation. Consequently, current tunnel lighting control systems deviate from regulatory requirements and actual needs, resulting in insufficient energy efficiency. The key reason for this lies in the lack of a threshold for selecting the most energy-efficient intelligent control method under normal operating conditions and the absence of intelligent switching methods between different lighting control modes based on threshold decisions.

[0004] In summary, existing technologies all involve manual selection and operation of a single control mode, and the system cannot automatically select the control mode under different operating conditions and circumstances. Summary of the Invention

[0005] In view of this, the purpose of this invention is to provide a threshold-based intelligent switching control system and method for tunnel lighting safety and energy-saving modes, solving the problem that current tunnel lighting systems cannot automatically select and switch control modes according to actual operating conditions under single or preset control modes, thus failing to achieve the optimal selection of control modes that automatically meet current actual needs. Through this invention, the following objectives are achieved: 1) This invention provides a method for determining the threshold of the optimal intelligent control mode based on actual tunnel operation needs, which can maximize energy saving under safe operation mode.

[0006] 2) The system of the present invention can automatically analyze and decide on the best control mode through real-time monitoring of operating parameters, and automatically switch the best control mode. It can also automatically switch the safety lighting effect in the central control room. At the same time, it can automatically analyze the operating energy consumption level before and after the switch, providing a scientific basis for automatic decision-making and mode switching.

[0007] 3) The system of this invention has a machine self-learning function, which can automatically adjust the dimming frequency and level according to the current operating parameters to achieve the best operational safety and energy saving effect.

[0008] To achieve the above objectives, the present invention provides the following technical solution: Option 1: A threshold-based intelligent switching control system for safe and energy-saving tunnel lighting modes, characterized in that the system comprises: a data layer 1, a threshold analysis layer 2, a control decision layer 3, and a display layer 4. The data layer 1 is used to provide threshold analysis and decision-making parameters and information for threshold analysis layer 2 and control decision layer 3. Specifically, based on actual operational needs, external brightness, average vehicle speed, average traffic volume and real-time traffic flow are used as benchmark control analysis parameters, and season and weather, tunnel length and alignment, tunnel portal type and internal environment are used as the basis for selecting the decision control mode in threshold analysis layer 2.

[0009] The threshold analysis layer 2 performs safety and energy-saving assessments of tunnel lighting based on the parameters and information of the data layer 1. It analyzes the energy consumption of different control modes and determines the threshold range for the control priority and control mode selection under the current operating conditions, with the principle of prioritizing safety while maximizing energy saving.

[0010] The control decision layer 3 automatically selects the control mode based on the analysis results of the threshold analysis layer 2, combined with the current tunnel operation conditions and actual demand priorities. When the operation conditions and operation parameters change, the control decision layer can automatically switch to the control mode that best meets the actual needs.

[0011] The display layer 4 is used to display the operating brightness of different lighting sections of the tunnel under the current control mode, as well as the real-time display brightness and the safety correspondence between the current traffic flow, and the energy consumption status under the selected control mode. The decision basis for the current control mode is displayed, that is, the correspondence between data layer 1 and threshold analysis layer 2 is displayed on the display layer 4.

[0012] Furthermore, the threshold analysis layer 2 includes a security assessment module, an energy-saving assessment module, an energy consumption analysis module, and a threshold calculation module, wherein the thresholds include a control priority threshold, an energy-saving interval threshold, and a security assurance threshold; The threshold analysis layer 2 automatically determines the control priority threshold, energy-saving range threshold, and safety assurance threshold based on the evaluation results of the safety assessment module and the energy-saving assessment module, as well as the calculation results of the energy consumption analysis module. It then automatically selects and decides on the control mode according to the control priority threshold.

[0013] Furthermore, the control modes include a timing control mode, an on-demand control mode, and a vehicle-following control mode.

[0014] Option 2: A threshold-based intelligent switching control method for safe and energy-saving modes of tunnel lighting, comprising the following steps: S1: Calculate the operating energy consumption under different control modes based on the current tunnel structure parameters, traffic volume parameters, light environment parameters inside and outside the tunnel, and the current actual working conditions; among them, the control modes include time-series control mode, on-demand control mode, and vehicle-following control mode; S2: Calculate the control priority threshold based on the current safety requirements of the operating conditions; select the control priority threshold according to the order of accident conditions > maintenance conditions > normal operating conditions. S3: Under normal operating conditions, compare the differences in operating energy consumption among the three control modes based on the operating energy consumption under different control modes, and select the control mode according to the following principles: 1) If the energy consumption of each of the three control modes is compared and the energy consumption difference is greater than the threshold range of 20%, the control mode will be switched to the low energy consumption control mode, i.e., the vehicle-following control mode. 2) If the energy consumption difference between any two of the three control modes is less than 20%, and there is a case where the energy consumption difference is greater than 10%, then the on-demand control mode shall be selected first within the 10% to 20% threshold range. 3) If the energy consumption difference between any two of the three control modes is less than 10%, then switch to the timing control mode. Step S4: When automatically switching to the optimal control mode based on the control mode selection result in step S3, the lighting control interface in the central control room simultaneously displays the current dimming brightness levels of different sections of tunnel lighting, the real-time correspondence between brightness and current traffic flow, and the real-time relationship between brightness changes and traffic flow changes in the vehicle-following control mode ("lights on when a vehicle approaches, lights off when a vehicle leaves"). The selection criteria for the current control mode are the current operating conditions and the energy-saving threshold range of the current control mode, as well as relevant control parameters such as external tunnel brightness and traffic volume. The energy-saving effect and comparative energy consumption of the current control mode are also displayed.

[0015] Furthermore, in step S1, the operational energy consumption under different control modes specifically includes: the energy consumption required for tunnel lighting operation under the same conditions, including time-sequence control, on-demand control, and vehicle-following control, is automatically calculated daily on a daily cycle. The dimming cycle during the calculation is automatically adjusted based on the current weather and traffic volume, as well as similar historical parameters, according to machine self-learning. Energy consumption required for operation in timing control mode for:

[0016] in, The utilization factor of the lighting system in each lighting section, For the power of each lighting section, The power factor for lighting operation during different lighting periods, m This represents the total number of lighting zones. n This represents the number of time periods divided into.

[0017] Energy consumption required for operation in on-demand control mode for:

[0018] in, To correspond to the brightness control ratio of each section, This is the luminance reduction factor. For the brightness outside the cave, This is a conversion ratio for illuminance and brightness. For the corresponding lighting section length, To correspond to the road width of the lighting section, To correspond to the wall height of the lighting section, The required brightness for the corresponding sections related to basic lighting. The brightness reduction factor is related to vehicle speed. The optical throughput factor is the light utilization factor. This is the maintenance factor.

[0019] Energy consumption required for operation in vehicle-following control mode for:

[0020] in, This is a control coefficient related to real-time traffic flow.

[0021] The beneficial effects of this invention are as follows: 1) This invention avoids the drawbacks of manual control mode selection and reduces the high level of expertise required from operations management personnel. The system can automatically analyze and switch to the optimal control mode based on monitoring parameters and operating conditions.

[0022] 2) This invention can maximize energy saving under the premise of safety in the same system under different seasons and weather, different traffic volumes caused by time periods and solar terms, and changes in traffic volume in the near and far term. It overcomes the problem that the current single control mode or control method without threshold decision basis cannot meet the maximum energy saving requirements under different operating conditions.

[0023] 3) Based on the threshold decision principle, this invention can realize the intelligent selection and automatic switching of the optimal control mode under any complex conditions or changes in weather and traffic volume, and has the advantages of being applicable to all weather and all regions.

[0024] 4) When the system of the present invention automatically switches control modes, the selection basis of the current control mode will be displayed on the display interface in the central control room. It has a scientific decision-making basis for the rationality and necessity of the control mode selection, and can display the real-time correspondence between brightness and traffic flow changes, which is not available in the current control field, to ensure operational safety under the current control mode.

[0025] Other advantages, objectives, and features of the invention will be set forth in part in the description which follows, and in part will be apparent to those skilled in the art from the following examination, or may be learned from practice of the invention. The objectives and other advantages of the invention can be realized and obtained through the following description. Attached Figure Description

[0026] To make the objectives, technical solutions, and advantages of the present invention clearer, the preferred embodiments of the present invention will be described in detail below with reference to the accompanying drawings, wherein: Figure 1 This is a schematic diagram of the intelligent selection system for tunnel lighting control modes based on threshold decision-making according to the present invention. Figure 2 This is a flowchart of the intelligent selection method for tunnel lighting control mode based on threshold decision-making according to the present invention. Detailed Implementation

[0027] The following specific examples illustrate the implementation of the present invention. Those skilled in the art can easily understand other advantages and effects of the present invention from the content disclosed in this specification. The present invention can also be implemented or applied through other different specific embodiments, and various details in this specification can be modified or changed based on different viewpoints and applications without departing from the spirit of the present invention. It should be noted that the illustrations provided in the following embodiments are only schematic representations of the basic concept of the present invention. Unless otherwise specified, the following embodiments and features can be combined with each other.

[0028] Please see Figures 1-2This invention provides an intelligent switching control system for tunnel lighting safety and energy-saving modes based on threshold decision-making. Building upon existing research, it derives the threshold selection for the most energy-efficient lighting control to ensure safe operation under different operating conditions and parameters. Furthermore, it studies the selection method for the optimal control mode, thereby realizing an intelligent switching method for tunnel lighting safety control modes based on threshold decision-making. This overcomes the current limitation of relying solely on one control method for manual or preset control, providing a comprehensive technical guarantee for maximizing energy savings under the premise of safety in tunnel lighting control.

[0029] The system of this invention includes: Data layer 1 provides comprehensive threshold analysis data for intelligent control of tunnel lighting control modes. Based on actual operational needs, it uses external brightness, average vehicle speed, average traffic volume, and real-time traffic flow as benchmark control analysis parameters, and takes season and weather, tunnel length and alignment, tunnel portal type and internal environment as decision-making criteria. In the selection of control modes, threshold ranges are incorporated into the decision priority.

[0030] Threshold analysis layer 2 assesses the safety and energy efficiency of tunnel lighting based on the parameters and information from data layer 1. It analyzes the energy consumption of different control modes (sequential control, on-demand control, and vehicle-following control) and determines the threshold range (including control priority threshold, energy-saving range threshold, and safety assurance threshold) under the current operating parameters, with the principle of prioritizing safety while maximizing energy efficiency.

[0031] Control decision layer 3, combining current operating conditions and the actual safety and energy-saving needs of the project, makes control decision selections. Based on the analysis conclusions of threshold analysis layer 2 and the decision requirements of control decision layer 3, it determines the most suitable control mode. According to the decision results of control decision layer 3, the system automatically selects the corresponding control mode and starts local control to perform operational control according to the selected mode.

[0032] Display layer 4 (located in the central control room) displays the operating brightness of different lighting sections of the tunnel under the current control mode, as well as the real-time display brightness and the safety correspondence between the current traffic flow, and the energy consumption status under the selected control mode. It also displays the decision basis for the current control mode, namely the correspondence between data layer 1 and threshold analysis layer 2, in the display layer 4.

[0033] The key feature of this invention is that it can automatically analyze and select intelligent control modes based on existing operational needs and parameters. It also adds the function of threshold analysis and decision-making, which can automatically determine which control mode is suitable at the moment to ensure safety and maximize energy saving.

[0034] The implementation steps of the system of the present invention are as follows: Step 1: Calculate the operating energy consumption under different control modes based on the current tunnel structure parameters, traffic volume parameters, light environment parameters inside and outside the tunnel, and the current actual operating conditions. , and The system automatically calculates the energy consumption required for tunnel lighting operation under the same conditions, using time-sequenced control, on-demand control, and vehicle-following control. The dimming cycle during the calculation is automatically adjusted based on the current weather, traffic volume, and similar historical parameters through machine self-learning.

[0035] Energy consumption required for operation in timing control mode: ; Energy consumption required for operation in on-demand control mode:

[0036] Energy consumption required for operation in vehicle-following control mode:

[0037] Step 2: Based on the current safety requirements of the operating conditions, calculate the control priority threshold and select the control priority threshold according to the order of accident conditions > maintenance conditions > normal operating conditions.

[0038] Step 3: Under normal operating conditions, based on the energy consumption calculated in Step 1 for different control modes, compare the differences in energy consumption among the three control modes, and select the control mode according to the following principles: 1) If the energy consumption of the three control modes is compared pairwise and there is a threshold range where the energy consumption difference is greater than 20%, the control mode will be switched to the low energy consumption control mode (i.e., the vehicle-following control mode). 2) If the energy consumption difference between any two of the three control modes is less than 20%, and there is a case where the energy consumption difference is greater than 10%, then the on-demand control mode shall be selected first within the 10% to 20% threshold range. 3) If the energy consumption difference between any two of the three control modes is less than 10%, then switch to the timing control mode.

[0039] Step 4: When automatically switching to the optimal control mode, the lighting control interface in the central control room synchronously displays the current dimming brightness levels of different sections of the tunnel lighting, as well as the real-time correspondence between brightness and current traffic flow. In particular, under the vehicle-following control mode, the real-time relationship between brightness changes ("lights on when a vehicle approaches, lights off when a vehicle leaves") and traffic flow changes can be seen. The selection criteria for the current control mode are the current operating conditions and the energy-saving threshold range of the current control mode, as well as relevant control parameters such as external tunnel brightness and traffic volume. The energy-saving effect and comparative energy consumption under the current control mode are also displayed.

[0040] Since the system of the present invention has the advantages of strong professionalism and wide adaptability, in application, it can perform automatic decision-making and switching of control modes based on automatically collected data, thereby realizing maximum energy conservation on the premise of safety guarantee, which meets the strategic requirements of intelligent industry safety and dual-carbon emission reduction. In terms of technical application, the invention can form an independent control system, and can also be implanted as a functional module into the currently popularized intelligent tunnel management and control platform for linked control, realizing integrated management and control of the intelligent control system, and improving the rapidity, effectiveness and intelligent level of safety and energy conservation management and control.

[0041] Finally, it should be noted that the above embodiments are only used to explain the technical solution of the present invention rather than limiting it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solution of the present invention without departing from the spirit and scope of the technical solution, and all such modifications and equivalent substitutions shall be included in the scope of the claims of the present invention.

Claims

1. A threshold-based intelligent switching control system for safe and energy-saving modes of tunnel lighting, characterized in that, The system includes: a data layer (1), a threshold analysis layer (2), and a control decision layer (3); The data layer (1) is used to provide threshold analysis decision parameters and information for the threshold analysis layer (2) and the control decision layer (3). Specifically, based on actual operational needs, the external brightness, average vehicle speed, average traffic volume and real-time traffic flow are used as the benchmark control analysis parameters, and the season and weather, tunnel length and alignment, tunnel portal type and tunnel environment are used as the basis for the selection of lighting control mode in the threshold analysis layer (2). The threshold analysis layer (2) performs safety and energy-saving assessment of tunnel lighting based on the parameters and information of the data layer (1), adopts energy consumption analysis of different lighting control modes, and determines the control priority of the current operating condition and the threshold range for the selection of lighting control mode based on the principle of prioritizing safety and maximizing energy saving. The threshold analysis layer (2) includes a safety assessment module, an energy-saving assessment module, an energy consumption analysis module, and a threshold calculation module. The thresholds include operating condition control priority thresholds, energy-saving interval thresholds, and safety assurance thresholds. The threshold analysis layer (2) automatically determines the operating condition control priority thresholds, energy-saving interval thresholds, and safety assurance thresholds based on the assessment results of the safety assessment module and the energy-saving assessment module, as well as the calculation results of the energy consumption analysis module. It then automatically selects and decides on the lighting control mode based on the operating condition control priority thresholds. The lighting control modes include a time-series control mode, an on-demand control mode, and a vehicle-following control mode. The time-series control mode considers time. The on-demand control mode considers brightness and vehicle speed. The vehicle-following control mode considers brightness, vehicle speed, and real-time traffic flow. Based on the current operational safety requirements, calculate the operational control priority threshold; select the operational control priority according to the following order: accident operation > maintenance operation > normal operation; under normal operation control, compare the differences in operational energy consumption among the three lighting control modes, and select the lighting control mode according to the following principles: 1) If the energy consumption of the three lighting control modes is compared pairwise and the energy consumption difference is greater than the threshold range of 20%, the lighting control mode will switch to the low energy consumption control mode, i.e., the vehicle-following control mode. 2) If the energy consumption difference between any two of the three lighting control modes is less than 20%, and there is a situation where the energy consumption difference is greater than 10%, then the on-demand control mode shall be selected first within the threshold range of 10% to 20%. 3) If the energy consumption difference between any two of the three lighting control modes is less than 10%, then switch to the timing control mode. The control decision layer (3) automatically selects the lighting control mode based on the analysis results of the threshold analysis layer (2) and in combination with the current tunnel operation conditions and actual demand priorities. When the operation conditions and operation parameters change, the control decision layer can automatically switch to the lighting control mode that best meets the actual needs.

2. The intelligent switching control system for safe and energy-saving tunnel lighting modes according to claim 1, characterized in that, The system also includes a display layer (4) for displaying the operating brightness of different lighting sections of the tunnel under the current lighting control mode, as well as the real-time display of the safety correspondence between the brightness and the current traffic flow, and the energy consumption status under the selected lighting control mode. The system also displays the decision basis for the current lighting control mode, that is, the correspondence between the data layer (1) and the threshold analysis layer (2) is displayed on the display layer (4).

3. A method for intelligent switching control of tunnel lighting safety and energy-saving modes based on threshold decision-making, characterized in that, The specific steps of this method, implemented using the control system described in claim 1 or 2, include: S1: Calculate the operating energy consumption under different lighting control modes based on the current tunnel structure parameters, traffic volume parameters, light environment parameters inside and outside the tunnel, and the current actual working conditions; among them, the lighting control modes include time-sequence control mode, on-demand control mode, and vehicle-following control mode; S2: Calculate the operating condition control priority threshold based on the current safety requirements of the operating conditions; select the operating condition control priority threshold according to the order of accident operating conditions > maintenance operating conditions > normal operating conditions. S3: Under normal operating conditions, compare the differences in operating energy consumption among the three control modes based on the operating energy consumption under different lighting control modes, and select the lighting control mode according to the following principles: 1) If the energy consumption of the three lighting control modes is compared pairwise and the energy consumption difference is greater than the threshold range of 20%, the lighting control mode will switch to the low energy consumption control mode, i.e., the vehicle-following control mode. 2) If the energy consumption difference between any two of the three lighting control modes is less than 20%, and there is a situation where the energy consumption difference is greater than 10%, then the on-demand control mode shall be selected first within the threshold range of 10% to 20%. 3) If the energy consumption difference between any two of the three lighting control modes is less than 10%, then switch to the timing control mode.

4. The intelligent switching control method for safe and energy-saving modes of tunnel lighting according to claim 3, characterized in that, The method also includes step S4: When automatically switching to the optimal lighting control mode based on the lighting control mode selection result in step S3, the lighting control interface in the central control room synchronously displays the current dimming brightness level of different sections of tunnel lighting, the real-time correspondence between brightness and current traffic flow, and the real-time relationship between brightness changes and traffic flow changes in the vehicle-following control mode ("lights on when a vehicle approaches, lights off when a vehicle leaves"); the selection basis of the current lighting control mode, namely the current operating conditions and the energy-saving threshold range of the current lighting control mode, as well as the brightness and traffic volume outside the tunnel; and the energy-saving effect and comparative energy consumption of the current lighting control mode.

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