Energy-saving method for high-speed rail base station equipment in tunnel environment and related equipment

Abstract

The invention discloses an energy-saving method for high-speed rail base station equipment in a tunnel environment and related equipment, and aims to solve the problems that most of existing energy-saving methods depend on fixed rules or static strategies, and are lack of flexibility and real-time performance and the like. The method comprises the steps of judging whether a current time period is a train-free stage or not according to a train timetable of a train passing through a target tunnel environment; if the stage is a train-free stage, acquiring a multi-dimensional influence factor of an energy-saving strategy; the multi-dimensional influence factors comprise wireless signal coverage change information in a target tunnel environment, flow information of active entities, electromagnetic environment interference information, climate change information, signal demand information of intersection points and / or bifurcation intervals in the target tunnel environment, power supply fluctuation information and spatial deployment information of high-speed rail base station equipment; energy efficiency change information of high-speed rail base station equipment; calculating a target energy-saving strategy value according to the multi-dimensional influence factor; and controlling the high-speed rail base station equipment to enter a turn-off energy-saving mode or a dynamic energy-saving mode based on the energy-saving strategy value.

Description

Technical Field

[0001] The present application relates to the field of communication technology, and in particular to an energy-saving method and related equipment for high-speed railway base station equipment in a tunnel environment. Background Art

[0002] The railway mobile communication network is a dedicated network established using high-speed railway base station equipment, covering only high-speed railways and areas along the line, providing communication network services for users on high-speed trains.

[0003] In the prior art, the base station signals of high-speed railway base station equipment are continuously transmitted, regardless of whether the high-speed railway train passes or not. Especially in a relatively remote tunnel environment, most of the time there are no high-speed railway trains passing. In this case, the continuous transmission of base station signals of high-speed railway base station equipment leads to a waste of power resources and an increase in operating costs.

[0004] In order to solve the above technical problems, the prior art proposes an energy-saving method for timed sleep of high-speed railway base station equipment. However, this method mainly relies on fixed rules or static strategies to achieve energy saving of high-speed railway base station equipment, lacks flexibility and real-time performance, and cannot meet the energy-saving needs in the complex environment of high-speed railway tunnels.

[0005] Based on this, there is an urgent need for a method that can dynamically adjust and control the energy saving of high-speed railway base station equipment to meet the energy-saving needs in the complex environment of high-speed railway tunnels. Summary of the invention

[0006] The embodiment of the present application provides an energy-saving method for high-speed railway base station equipment in a tunnel environment, which is used to solve the problems that most energy-saving methods in the prior art rely on fixed rules or static strategies, lack flexibility and real-time performance, and cannot meet the energy-saving needs in the complex environment of high-speed railway tunnels.

[0007] The embodiments of the present application also provide an energy-saving device for a high-speed railway base station device in a tunnel environment, an electronic device, a computer-readable storage medium, and a computer program product.

[0008] The present application embodiment adopts the following technical solutions: In a first aspect, the present application provides an energy-saving method for a high-speed railway base station device in a tunnel environment, comprising: According to the train schedule of the trains passing through the target tunnel environment, it is determined whether the current period is a stage without trains; If it is a no-train stage, then obtain the multi-dimensional influencing factors of the energy-saving strategy, which include wireless signal coverage change information in the target tunnel environment, flow information of active entities, electromagnetic environment interference information, climate change information in the target tunnel environment, signal demand information at intersections and / or bifurcation intervals in the target tunnel environment, power supply fluctuation information in the target tunnel environment, spatial deployment information of high-speed rail base station equipment in the target tunnel environment, and energy efficiency change information of high-speed rail base station equipment; Calculate the target energy-saving strategy value based on multi-dimensional influencing factors; Based on the energy-saving strategy value, the high-speed railway base station equipment is controlled to enter the shutdown energy-saving mode or the dynamic energy-saving mode.

[0009] Optionally, the target energy-saving strategy value is calculated based on the multi-dimensional influencing factors, including: Determine the hierarchical decision path of multi-dimensional influencing factors based on the multi-level rule decision tree structure and multi-dimensional influencing factors; Calculate the target energy-saving strategy value according to the hierarchical decision path; Among them, the multi-level rule decision tree structure includes three levels, each level constructs decision conditions for specific influencing factors in the multi-dimensional influencing factors, and the decision results of the decision conditions are used to determine the hierarchical decision path; At the first level, based on the signal demand information of the intersection and / or bifurcation interval and the flow information of the active entity, a first decision condition for determining the communication demand level of the target tunnel environment in the current period is constructed; At the second level, a second decision condition is constructed to judge the complexity of the target tunnel environment according to the wireless signal coverage change information, the electromagnetic environment interference information, and the climate change information, and the second decision condition is dynamically adjusted according to the decision result of the first decision condition; At the third level, based on the power supply fluctuation information, the spatial deployment information of the high-speed rail base station equipment and the energy efficiency change information, a third decision condition is constructed to judge the operating status of the high-speed rail base station equipment, and the third decision condition is dynamically adjusted according to the decision result of the second decision condition.

[0010] Optionally, if the communication demand level includes a high communication demand level and a low communication demand level, dynamically adjusting the second decision condition according to the decision result of the first decision condition specifically includes: When the communication demand level is a high communication demand level, the initial coverage threshold of the wireless signal coverage change information is reduced, the initial tolerance threshold of the electromagnetic environment interference information is increased, and the weight of the climate change information is kept constant; or, When the communication demand level is a low communication demand level, the initial coverage threshold of the wireless signal coverage change information is increased, the initial tolerance threshold of the electromagnetic environment interference information is reduced, and the weight of the climate change information is kept constant.

[0011] Optionally, if the complexity of the target tunnel environment includes stability and complexity, the third decision condition is dynamically adjusted according to the decision result of the second decision condition, specifically including: When the complexity of the target tunnel environment is complex, the initial fluctuation threshold of the power supply fluctuation information is reduced, the weight of the spatial deployment information of the high-speed railway base station equipment is increased, and the weight of the energy efficiency change information is increased; or, When the complexity of the target tunnel environment is stable, the initial fluctuation threshold of the power supply fluctuation information is increased, the weight of the spatial deployment information of the high-speed railway base station equipment is reduced, and the weight of the energy efficiency change information is kept constant.

[0012] Optionally, a hierarchical decision path of multi-dimensional influencing factors is determined based on a multi-level rule decision tree structure and multi-dimensional influencing factors, specifically including: Based on the decision conditions and multi-dimensional influencing factors at each level of the multi-level rule decision tree structure, the branch paths of the multi-dimensional influencing factors at each level are determined respectively; The hierarchical decision path of multidimensional influencing factors is determined according to the branching path at each level.

[0013] Optionally, the target energy saving strategy value is calculated according to the hierarchical decision path, specifically including: Obtain the path weight of the branch path at each level in the hierarchical decision path and the energy saving contribution of the influencing factors at each level; The target energy-saving strategy value is calculated based on the path weights of the branch paths and the energy-saving contribution of the influencing factors at each level.

[0014] Optionally, based on the energy-saving strategy value, the high-speed railway base station equipment is controlled to enter the shutdown energy-saving mode or the dynamic energy-saving mode, specifically including: When the energy-saving strategy value is less than the preset energy-saving mode threshold, the high-speed railway base station equipment is controlled to enter the shutdown energy-saving mode; or, When the energy-saving strategy value is greater than or equal to the preset energy-saving mode threshold, the high-speed railway base station equipment is controlled to enter the dynamic energy-saving mode.

[0015] Optionally, in the shutdown energy-saving mode, all high-speed railway base station devices in the target tunnel environment are in a shutdown state; In the dynamic energy-saving mode, the target tunnel environment includes at least one high-speed railway base station device in working state.

[0016] Optionally, when controlling the high-speed railway base station equipment to enter the dynamic energy-saving mode, the method further includes: Determine the target high-speed railway base station equipment that is in working state in the dynamic energy-saving mode; Obtain the maximum current value of each branch of the target high-speed railway base station equipment in the sleep state; Based on the maximum current value of each branch in the sleep state, the overload rated current value of the branch is dynamically adjusted.

[0017] In a second aspect, the present application provides an energy-saving device for a high-speed railway base station device in a tunnel environment, including a judgment module, an acquisition module, a calculation module and a control module, wherein: A judgment module, used to judge whether the current time period is a no-train phase according to the train schedule of the train passing through the target tunnel environment; An acquisition module is used to acquire multidimensional influencing factors of the energy-saving strategy if there is no train in the stage, and the multidimensional influencing factors include wireless signal coverage change information in the target tunnel environment, flow information of active entities, electromagnetic environment interference information, climate change information in the target tunnel environment, signal demand information of intersections and / or bifurcation intervals in the target tunnel environment, power supply fluctuation information in the target tunnel environment, spatial deployment information of high-speed rail base station equipment in the target tunnel environment, and energy efficiency change information of high-speed rail base station equipment; A calculation module, used to calculate the target energy-saving strategy value according to multi-dimensional influencing factors; The control module is used to control the high-speed railway base station equipment to enter the shutdown energy-saving mode or the dynamic energy-saving mode based on the energy-saving strategy value.

[0018] Optionally, the computing module specifically includes: A hierarchical decision path determination unit, used to determine a hierarchical decision path of multi-dimensional influencing factors based on a multi-level rule decision tree structure and multi-dimensional influencing factors; An energy-saving strategy value determination unit, used to calculate a target energy-saving strategy value according to a hierarchical decision path; Among them, the multi-level rule decision tree structure includes three levels, each level constructs decision conditions for specific influencing factors in the multi-dimensional influencing factors, and the decision results of the decision conditions are used to determine the hierarchical decision path; At the first level, based on the signal demand information of the intersection and / or bifurcation interval and the flow information of the active entity, a first decision condition for determining the communication demand level of the target tunnel environment in the current period is constructed; At the second level, a second decision condition is constructed to judge the complexity of the target tunnel environment according to the wireless signal coverage change information, the electromagnetic environment interference information, and the climate change information, and the second decision condition is dynamically adjusted according to the decision result of the first decision condition; At the third level, based on the power supply fluctuation information, the spatial deployment information of the high-speed rail base station equipment and the energy efficiency change information, a third decision condition is constructed to judge the operating status of the high-speed rail base station equipment, and the third decision condition is dynamically adjusted according to the decision result of the second decision condition.

[0019] Optionally, if the communication demand level includes a high communication demand level and a low communication demand level, the energy saving device further includes a first adjustment module, configured to: When the communication demand level is a high communication demand level, the initial coverage threshold of the wireless signal coverage change information is reduced, the initial tolerance threshold of the electromagnetic environment interference information is increased, and the weight of the climate change information is kept constant; or, When the communication demand level is a low communication demand level, the initial coverage threshold of the wireless signal coverage change information is increased, the initial tolerance threshold of the electromagnetic environment interference information is reduced, and the weight of the climate change information is kept constant.

[0020] Optionally, if the complexity of the target tunnel environment includes stability and complexity, the energy-saving device further includes a second adjustment module, which is used to: When the complexity of the target tunnel environment is complex, the initial fluctuation threshold of the power supply fluctuation information is reduced, the weight of the spatial deployment information of the high-speed railway base station equipment is increased, and the weight of the energy efficiency change information is increased; or, When the complexity of the target tunnel environment is stable, the initial fluctuation threshold of the power supply fluctuation information is increased, the weight of the spatial deployment information of the high-speed railway base station equipment is reduced, and the weight of the energy efficiency change information is kept constant.

[0021] Optionally, a hierarchical decision path determination unit is specifically used to: Based on the decision conditions and multi-dimensional influencing factors at each level of the multi-level rule decision tree structure, the branch paths of the multi-dimensional influencing factors at each level are determined respectively; The hierarchical decision path of multidimensional influencing factors is determined according to the branching path at each level.

[0022] Optionally, the energy-saving strategy value determination unit is specifically used to: Obtain the path weight of the branch path at each level in the hierarchical decision path and the energy saving contribution of the influencing factors at each level; The target energy-saving strategy value is calculated based on the path weights of the branch paths and the energy-saving contribution of the influencing factors at each level.

[0023] Optional control module, specifically used for: When the energy-saving strategy value is less than the preset energy-saving mode threshold, the high-speed railway base station equipment is controlled to enter the shutdown energy-saving mode; or, When the energy-saving strategy value is greater than or equal to the preset energy-saving mode threshold, the high-speed railway base station equipment is controlled to enter the dynamic energy-saving mode.

[0024] Optionally, in the shutdown energy-saving mode, all high-speed railway base station devices in the target tunnel environment are in a shutdown state; In the dynamic energy-saving mode, the target tunnel environment includes at least one high-speed railway base station device in working state.

[0025] Optionally, when controlling the high-speed railway base station equipment to enter the dynamic energy-saving mode, the energy-saving device is also used to: Determine the target high-speed railway base station equipment that is in working state in the dynamic energy-saving mode; Obtain the maximum current value of each branch of the target high-speed railway base station equipment in the sleep state; Based on the maximum current value of each branch in the sleep state, the overload rated current value of the branch is dynamically adjusted.

[0026] In a third aspect, the present application provides an electronic device comprising: a memory, a processor, and a computer program stored on the memory and executable on the processor, wherein when the computer program is executed by the processor, the steps of the energy-saving method for high-speed railway base station equipment in a tunnel environment as described above are implemented.

[0027] In a fourth aspect, the present application provides a computer-readable storage medium having a computer program stored thereon, and when the computer program is executed by a processor, the steps of the energy-saving method for high-speed railway base station equipment in a tunnel environment as described above are implemented.

[0028] In a fifth aspect, the present application provides a computer program product, including a computer program, which, when executed by a processor, implements the energy-saving method for high-speed railway base station equipment in a tunnel environment as described above.

[0029] At least one of the above technical solutions adopted in the embodiments of the present application can achieve the following beneficial effects: By adopting the method provided in the embodiment of the present application, in the train-free stage, the target energy-saving strategy value can be calculated based on the wireless signal coverage change information in the target tunnel environment, the flow information of the active entity, the electromagnetic environment interference information, the climate change information of the target tunnel environment, the signal demand information of the intersection and / or bifurcation interval in the target tunnel environment, the power supply fluctuation information in the target tunnel environment, the spatial deployment information of the high-speed railway base station equipment in the target tunnel environment, the energy efficiency change information of the high-speed railway base station equipment, etc., and then based on the energy-saving strategy value, the high-speed railway base station equipment is controlled to enter the shutdown energy-saving mode or the dynamic energy-saving mode. In this way, the energy-saving mode can be dynamically selected by judging the train timetable and combining multi-dimensional influencing factors, so as to flexibly respond to complex scenes in the tunnel, solve the problems of fixed energy-saving strategies, lack of flexibility and real-time performance in the prior art, and thus improve the energy utilization efficiency of tunnel base station equipment and reduce operating costs. BRIEF DESCRIPTION OF THE DRAWINGS The drawings described herein are used to provide a further understanding of the present application and constitute a part of the present application. The illustrative embodiments of the present application and their descriptions are used to explain the present application and do not constitute an improper limitation on the present application. In the drawings: Figure 1 A schematic diagram of a process flow for implementing an energy-saving method for a high-speed railway base station device in a tunnel environment provided in an embodiment of the present application; Figure 2 A specific structural schematic diagram of an energy-saving device for a high-speed railway base station device in a tunnel environment is provided for an embodiment of the present application; Figure 3 A schematic diagram of the structure of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0030] In order to make the purpose, technical solution and advantages of the present application clearer, the technical solution of the present application will be clearly and completely described below in combination with the specific embodiments of the present application and the corresponding drawings. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present application.

[0031] The technical solutions provided by various embodiments of the present application are described in detail below in conjunction with the accompanying drawings.

[0032] Example 1 In order to solve the problems that energy-saving methods in the prior art mostly rely on fixed rules or static strategies, lack flexibility and real-time performance, and cannot meet the energy-saving needs in the complex environment of high-speed railway tunnels, the embodiment of the present application provides an energy-saving method for high-speed railway base station equipment in a tunnel environment.

[0033] The execution subject of the method may be various types of computing devices, or an application or application (Application, APP) installed on the computing device. The computing device may be, for example, a user terminal such as a mobile phone, a tablet computer, a smart wearable device, or a server.

[0034] For ease of description, the present application embodiment takes the execution subject of the method as an example of a server to introduce the method. Those skilled in the art can understand that the present application embodiment takes the server as an example to introduce the method, which is only an exemplary description and does not limit the scope of protection of the claims corresponding to the present solution.

[0035] Specifically, the implementation process of the method provided in the embodiment of the present application is as follows: Figure 1 As shown, the following steps are included: Step 11, judging whether the current time period is a no-train phase according to the train schedule of the trains passing through the target tunnel environment.

[0036] The no-train phase refers to a period of time when no train is running or passing through the railway line passing through the target tunnel environment. In other words, no train is running during the no-train phase, or the train operation has ended, or the train has not started running yet.

[0037] Step 12: If it is a stage without trains, obtain the multi-dimensional influencing factors of the energy-saving strategy.

[0038] Among them, the multidimensional influencing factors include the wireless signal coverage change information in the target tunnel environment, the traffic information of active entities, the electromagnetic environment interference information, the climate change information of the target tunnel environment, the signal demand information of the intersections and / or bifurcation intervals in the target tunnel environment, the power supply fluctuation information in the target tunnel environment, the spatial deployment information of the high-speed rail base station equipment in the target tunnel environment, and the energy efficiency change information of the high-speed rail base station equipment.

[0039] Among them, the multidimensional influencing factors of the energy-saving strategy are mainly used to decide / select the energy-saving mode of high-speed railway base station equipment in the no-train stage.

[0040] Optionally, the energy-saving mode of the high-speed railway base station equipment in the embodiment of the present application includes a shutdown energy-saving mode and a dynamic energy-saving mode. In the shutdown energy-saving mode, all high-speed railway base station equipment in the target tunnel environment is in a shutdown state; in the dynamic energy-saving mode, at least one high-speed railway base station equipment in the target tunnel environment is in a working state.

[0041] In the embodiment of the present application, considering the complexity and dynamism of the high-speed railway tunnel environment, the energy-saving method in the prior art only performs timed dormancy control on the high-speed railway base station equipment based on a preset time rule or static strategy, which is difficult to cope with these complex environmental changes, and thus problems such as communication service interruption or abnormal operation of equipment may occur due to rigid energy saving. In order to avoid this problem, in the embodiment of the present application, before selecting the energy-saving mode, the multidimensional influencing factors of the energy-saving strategy can be obtained, so that the target energy-saving strategy value can be accurately calculated by dynamically sensing the wireless signal coverage change information in the target tunnel environment, the flow information of the active entity, the electromagnetic environment interference information, the climate change information of the target tunnel environment, the signal demand information of the intersection and / or bifurcation interval in the target tunnel environment, the power supply fluctuation information in the target tunnel environment, the spatial deployment information of the high-speed railway base station equipment in the target tunnel environment, the energy efficiency change information of the high-speed railway base station equipment, and other multidimensional data, thereby providing a scientific basis for the selection of the energy-saving mode of the high-speed railway base station equipment. In addition, the flexibility, real-time and accuracy of the energy-saving strategy of the high-speed railway base station equipment can be improved, ensuring that the selected energy-saving mode can better adapt to the needs of the complex environment of the high-speed railway tunnel, and achieving an effective balance between energy saving and communication guarantee.

[0042] The following describes various multi-dimensional influencing factors in the embodiments of the present application.

[0043] Among them, the wireless signal coverage change information is used to characterize the real-time changes of the radio frequency signal in the tunnel environment.

[0044] Optionally, in the embodiment of the present application, it is considered that the wireless signal coverage change information will directly affect the communication capability of the high-speed rail base station equipment. For example, when the wireless signal coverage fluctuates greatly, if the high-speed rail base station equipment is shut down, it may cause a signal blind spot, thereby affecting the communication quality. Therefore, in the embodiment of the present application, in order to avoid the problem of shutting down the high-speed rail base station equipment in an area with unstable signals and causing a decrease in communication quality, when selecting the energy-saving mode, real-time wireless signal coverage change information can be considered to ensure energy saving while maintaining signal stability.

[0045] The flow information of active entities refers to the flow data generated by objects (such as trains, vehicles, pedestrians, etc.) moving in the target tunnel environment. It can include the flow of trains, vehicles or people passing through the target tunnel, and can be used to characterize the density, flow speed, activity frequency and impact on network load of moving objects in the target tunnel.

[0046] Optionally, in the embodiments of the present application, it is considered that the flow information of the active entity can directly reflect the communication demand in the tunnel. For example, when the flow is high, the high-speed rail base station equipment needs to maintain a high power output to ensure the communication quality; when the flow is low, the high-speed rail base station equipment can reduce power consumption to save energy. Therefore, when selecting the energy-saving mode of the high-speed rail base station equipment, the flow information of the active entity can be considered to ensure that sufficient communication support is provided when the demand is high, and to achieve energy efficiency optimization when the demand is low, so as to avoid unnecessary energy consumption.

[0047] Among them, electromagnetic environment interference information is used to describe the electromagnetic wave interference conditions inside and outside the target tunnel environment, including electromagnetic wave interference information generated by radio equipment, communication base stations, radars, traffic signals, and even power systems.

[0048] Optionally, in the embodiment of the present application, it is considered that electromagnetic interference may affect the communication stability of high-speed rail base station equipment, especially in the case of strong interference, shutting down the high-speed rail base station equipment may cause the signal quality to further deteriorate. Therefore, in order to ensure the communication quality and reduce the negative impact of interference, in the embodiment of the present application, when selecting the energy-saving mode, the electromagnetic environment interference information can be considered to ensure the stable operation of the system and optimize energy consumption.

[0049] Among them, the climate change information in the tunnel includes the change information of temperature, humidity, airflow and other factors inside the tunnel.

[0050] Optionally, in the embodiments of the present application, it is considered that the climate change information in the tunnel has a significant impact on the stability and energy efficiency of the high-speed rail base station equipment. For example, in the case of high temperature or excessive humidity, it usually causes the equipment to overheat or run unstably. At this time, if the high-speed rail base station equipment is shut down, it may affect the response speed during recovery. Therefore, when selecting the energy-saving mode, the embodiments of the present application can also consider climate change information to reduce energy consumption while ensuring the safe operation of the equipment.

[0051] The intersection in the target tunnel environment refers to the area intersecting with the target tunnel underground, similar to the intersection of ground roads. In the embodiment of the present application, the tunnel intersection can be understood as the intersection of the train track or underground passage of other lines other than the one passing through the target tunnel environment and the target tunnel environment.

[0052] The bifurcation interval in the target tunnel environment refers to the area where the main line of the target tunnel branches out, similar to the fork in the road. In the embodiment of the present application, the bifurcation interval in the target tunnel environment may include the separation of the train line, or the transition / connection interval of some branch tunnels to parking lots, tunnel ancillary facilities and other areas.

[0053] Correspondingly, the signal demand information of the intersection and / or bifurcation interval in the target tunnel environment refers to the demand information for the wireless signal at the intersection or bifurcation of the tunnel.

[0054] Optionally, in an embodiment of the present application, considering that the intersections and / or bifurcation intervals within the target tunnel environment are usually "hotspot" areas of communication demand within the target tunnel environment, high signal coverage requirements for radio frequency equipment are required. In addition, due to factors such as the complex structure, signal reflection, and shielding effects of these areas, the signal quality is usually prone to degradation, and the signal demand and optimization requirements are high. Therefore, in the energy-saving process of high-speed rail base station equipment, in order to ensure the continuity of communication at the intersections within the target tunnel environment, the signal demand information of the intersections and / or bifurcation intervals within the target tunnel environment can be considered.

[0055] Among them, the power supply fluctuation information in the target tunnel environment is used to characterize the fluctuation of the internal power system of the target tunnel environment, including fluctuations caused by external power load, equipment failure, load overload and other factors.

[0056] Among them, the spatial deployment information of high-speed railway base station equipment includes the location, layout and coverage of the high-speed railway base station equipment in the target tunnel environment.

[0057] Optionally, in the embodiment of the present application, considering that when the high-speed rail base station equipment is deployed more dispersedly, if too many high-speed rail base station equipment are shut down, it may cause blind spots in signal coverage, thereby affecting the overall communication quality. Therefore, when selecting the energy-saving mode, in order to ensure that communication support can continue to be provided in areas with high signal requirements after energy saving, in the embodiment of the present application, the spatial deployment information of the high-speed rail base station equipment can be considered.

[0058] The energy efficiency change information of high-speed railway base station equipment refers to the energy efficiency fluctuation of the base station in the tunnel environment, which is mainly affected by factors such as power supply, load conditions, equipment aging, etc. The change of equipment energy efficiency will directly affect the energy consumption of the base station and the operating efficiency of the communication system.

[0059] Step 13: Calculate the target energy-saving strategy value based on the multi-dimensional influencing factors.

[0060] In an embodiment of the present application, after obtaining the multidimensional influencing factors, each of the multidimensional influencing factors can be quantified respectively; then, the target energy-saving strategy value is calculated by weighted summation based on the quantified results of each influencing factor.

[0061] The quantized value of the wireless signal coverage change information=(the maximum value of the wireless signal coverage change information-the wireless signal coverage change information in the current period) / the maximum value of the wireless signal coverage change information.

[0062] The quantitative value of the flow information of the active entity = the flow of the active entity in the current period / the maximum value of the flow of the active entity.

[0063] The quantitative value of the electromagnetic environment interference information = the electromagnetic environment interference information value of the current period / the strongest electromagnetic environment interference information value.

[0064] The quantitative value of the climate change information in the tunnel = (the climate change information value in the tunnel in the current period - the climate information under ideal conditions) / the preset maximum climate change information deviation.

[0065] The quantized value of the signal demand information of the intersection and / or bifurcation interval in the tunnel = the signal demand of the intersection and / or bifurcation interval in the tunnel in the current period / the maximum signal demand of the intersection and / or bifurcation interval in the tunnel.

[0066] The quantitative value of the power supply fluctuation information in the tunnel = the power supply fluctuation range in the tunnel in the current period / the maximum allowable fluctuation range.

[0067] The quantitative value of the spatial deployment information of high-speed railway base station equipment = the average base station spacing between high-speed railway base station equipment in the current period / the maximum high-speed railway base station equipment deployment spacing.

[0068] The quantitative value of the energy efficiency change information of the high-speed railway base station equipment = the energy efficiency change of the high-speed railway base station equipment in the current period / the maximum energy efficiency change of the high-speed railway base station equipment.

[0069] For example, assume that the detailed information of the multi-dimensional impact factors obtained is as shown in Table 1 below: Table 1

[0070] Based on the multidimensional impact factors obtained above, each impact factor in the multidimensional impact factor is quantified respectively, and the quantification results are shown in Table 2 below: Table 2

[0071] Furthermore, assuming that the weights of wireless signal coverage change information, flow information of active entities, electromagnetic environment interference information, climate change information in the tunnel, signal demand information at intersections and / or bifurcation intervals in the tunnel, power supply fluctuation information in the tunnel, spatial deployment information of high-speed rail base station equipment, and energy efficiency change information of high-speed rail base station equipment are 0.2, 0.15, 0.1, 0.1, 0.2, 0.1, 0.1, and 0.05, respectively, then according to the quantification results and the weight of each influencing factor, the target energy-saving strategy value can be determined as: (0.2*0.3)+(0.15*0.5)+(0.1*0.5)+(0.1*0.5)+(0.2*0.6)+(0.1*0.4)+(0.1*0.6)+(0.05*0.8=0.495.

[0072] In an optional implementation, considering that in actual applications, there may be complex nonlinear relationships between different influencing factors in the multidimensional influencing factors, such as synergy or conflict between different influencing factors, in order to capture the nonlinear relationship between the multidimensional influencing factors, so as to accurately select the energy-saving mode. Therefore, in the embodiment of the present application, the hierarchical decision path of the multidimensional influencing factors can also be determined based on the multi-level rule decision tree structure and the multidimensional influencing factors; then, the target energy-saving strategy value is calculated according to the hierarchical decision path.

[0073] The multi-level rule decision tree structure includes three levels. Each level constructs decision conditions for specific influencing factors in the multi-dimensional influencing factors, and the decision results of the decision conditions are used to determine the hierarchical decision path.

[0074] At the first level, a first decision condition for determining the communication demand level of the target tunnel environment in the current period is constructed based on the signal demand information of the intersection and / or the bifurcation interval and the traffic information of the active entity.

[0075] At the second level, a second decision condition is constructed to judge the complexity of the target tunnel environment based on the wireless signal coverage change information, electromagnetic environment interference information, and climate change information, and the second decision condition is dynamically adjusted according to the decision result of the first decision condition.

[0076] At the third level, based on the power supply fluctuation information, the spatial deployment information of the high-speed rail base station equipment and the energy efficiency change information, a third decision condition is constructed to judge the operating status of the high-speed rail base station equipment, and the third decision condition is dynamically adjusted according to the decision result of the second decision condition.

[0077] Optionally, in an embodiment of the present application, if the signal demand information of the intersection and / or bifurcation interval is greater than or equal to a preset signal demand threshold, and the traffic information of the active entity is greater than or equal to the preset signal demand threshold, then the communication demand level of the target tunnel environment in the current time period is considered to be a high communication demand level.

[0078] Alternatively, if the signal demand information of the intersection and / or bifurcation interval is less than the preset signal demand threshold, and the traffic information of the active entity is less than the preset signal demand threshold, the communication demand level of the target tunnel environment in the current period is considered to be a low communication demand level.

[0079] Alternatively, if the signal demand information of the intersection and / or bifurcation interval and the flow information of the active entity are one higher than the threshold and the other lower than the threshold, for example, the signal demand information of the intersection and / or bifurcation interval is greater than or equal to the preset signal demand threshold, and the flow information of the active entity is less than the preset signal demand threshold, or the signal demand information of the intersection and / or bifurcation interval is less than the preset signal demand threshold, and the flow information of the active entity is greater than or equal to the preset signal demand threshold, then it is necessary to quantify the communication demand level through a comprehensive scoring method to reasonably judge the communication demand level, as follows: First, the communication demand level score is calculated based on the quantified results of the signal demand information of the intersection and / or bifurcation interval, the quantified results of the flow information of the active entity, and other information.

[0080]

[0081] in, Indicates the communication needs level score; A numerical result representing the signal requirement information of the intersection and / or bifurcation interval; A numerical result representing the flow information of an active entity; A weight representing the signal demand information of the intersection and / or bifurcation interval; Indicates the weight of the traffic information of the activity entity.

[0082] After the communication demand level score is calculated, a comparison is made based on the communication demand level score and the communication demand level score threshold. If the communication demand level score is greater than or equal to the communication demand level score threshold, the communication demand level is considered to be a high communication demand level. Conversely, if the communication demand level score is less than the communication demand level score threshold, the communication demand level is considered to be a low communication demand level.

[0083] Optionally, in an embodiment of the present application, if the wireless signal coverage change information is greater than or equal to a preset wireless signal coverage change threshold, the electromagnetic environment interference information is greater than or equal to a preset electromagnetic environment interference intensity threshold, and the climate change information is greater than or equal to a preset climate change threshold, the complexity of the target tunnel environment is considered to be complex.

[0084] Alternatively, if the wireless signal coverage change information is less than a preset wireless signal coverage change threshold, the electromagnetic environment interference information is less than a preset electromagnetic environment interference intensity threshold, and the climate change information is less than a preset climate change threshold, the complexity of the target tunnel environment is considered to be stable.

[0085] Alternatively, if the wireless signal coverage change information, the electromagnetic environment interference information, and the climate change information do not meet the above two conditions, the complexity of the target tunnel environment can be quantitatively judged through a comprehensive scoring method. Specifically: the normalized value of the wireless signal coverage change information, the normalized value of the electromagnetic environment interference information, and the normalized value of the climate change information can be determined respectively; then, based on the normalized value of the wireless signal coverage change information, the normalized value of the electromagnetic environment interference information, the normalized value of the climate change information, and the weight of the wireless signal coverage change information, the weight of the electromagnetic environment interference information, and the weight of the climate change information, the comprehensive score of environmental complexity is determined by weighted summation.

[0086] In the embodiment of the present application, if the environmental complexity comprehensive score is greater than or equal to the preset environmental complexity comprehensive score threshold, the complexity of the target tunnel environment is considered to be complex. Conversely, if the environmental complexity comprehensive score is less than the preset environmental complexity comprehensive score threshold, the complexity of the target tunnel environment is considered to be stable.

[0087] Optionally, in an embodiment of the present application, the method for judging the operating status of the high-speed rail base station equipment according to the power supply fluctuation information, the spatial deployment information of the high-speed rail base station equipment and the energy efficiency change information is as follows: (1) Obtain the fluctuation amplitude of the power supply voltage, and then calculate the normalized score of the power supply fluctuation information according to the following calculation method:

[0088] in, normalized score for power supply fluctuation information; Indicates the amplitude of fluctuation; Indicates the set fluctuation threshold of power fluctuation information; when hour, .

[0089] (2) Assign a value to the importance of the location of the high-speed rail base station equipment. For example, intersections and bifurcation areas are key areas with a score of 1; ordinary areas are scored 0.5; and secondary areas are scored 0.2.

[0090] It should be noted that the above-mentioned assignment of importance to the location of the device is merely an exemplary description and does not impose any limitation on the embodiments of the present application.

[0091] (3) Obtain the energy efficiency change range of the high-speed rail base station equipment, and then calculate the normalized score of the energy efficiency change information according to the following calculation method:

[0092] in, A normalized score representing the energy efficiency change information; Indicates the change range of energy efficiency of high-speed railway base station equipment; Indicates the energy efficiency change threshold of high-speed railway base station equipment. hour, .

[0093] (4) Based on the normalized score of power supply fluctuation information, the importance of the location of the high-speed rail base station equipment, and the normalized score of energy efficiency change information, the operating status score of the high-speed rail base station equipment is determined in the following calculation method:

[0094] in, Indicates the operating status score of high-speed railway base station equipment; represents the weight of the power supply fluctuation signal; The weight representing the spatial deployment information of high-speed railway base station equipment; Indicates the importance of the location of the high-speed railway base station equipment; Represents the weight of energy efficiency change information.

[0095] In the embodiment of the present application, if the operation status score of the high-speed railway base station device is greater than or equal to the preset operation status score threshold, it means that the operation status of the high-speed railway base station device enters the low power consumption mode. At this time, the radio frequency power of the high-speed railway base station device can be reduced or some non-critical functional modules can be turned off to reduce energy consumption, that is, the high-speed railway base station device can be controlled to enter the dynamic energy-saving mode.

[0096] On the contrary, if the running state score of the high-speed railway base station device is less than the preset running state score threshold, it means that the running state of the high-speed railway base station device enters the sleep mode. At this time, the high-speed railway base station device can be controlled to enter the shutdown energy-saving mode.

[0097] In an optional implementation, if the communication demand level includes a high communication demand level and a low communication demand level, when the communication demand level is a high communication demand level, in order to effectively reduce unnecessary energy-saving measures, improve the communication capacity of key equipment areas, and achieve a reasonable balance between energy saving and service guarantee, the initial coverage threshold of the wireless signal coverage change information can be reduced, the initial tolerance threshold of the electromagnetic environment interference information can be increased, and the weight of the climate change information can be kept constant. In this way, by lowering the signal coverage threshold, the sensitivity to signal fluctuations can be increased, and coverage changes can be responded to in a timely manner to ensure communication stability; secondly, increasing the electromagnetic interference tolerance can reduce excessive processing of minor interference and concentrate more resources on key communication guarantees; and keeping the weight of climate change information constant can avoid excessive adjustment of resource allocation and ensure the long-term stability of equipment operation, thereby ensuring a reasonable balance between the energy-saving mode selected subsequently and service guarantee.

[0098] The initial coverage threshold is also the preset wireless signal coverage change threshold, and the initial tolerance threshold is also the preset electromagnetic environment interference intensity threshold.

[0099] Alternatively, in an optional implementation, when the communication demand level is a low communication demand level, in order to significantly reduce energy consumption, optimize the operating environment for future high-demand periods, extend the life of high-speed rail base station equipment and improve resource utilization efficiency, the initial coverage threshold of the wireless signal coverage change information can be increased, the initial tolerance threshold of the electromagnetic environment interference information can be reduced, and the weight of the climate change information can be kept constant. In this way, by increasing the signal coverage threshold, the system's response frequency to small signal changes can be reduced, thereby reducing unnecessary dynamic adjustments and saving energy; secondly, reducing the electromagnetic interference tolerance can ensure that the equipment operating environment is optimized first during light load periods and improve the long-term stability of the equipment; in addition, keeping the climate change weight constant enables the system to continuously monitor the external environment and provide reliable support for equipment operation, thereby ensuring that the optimal energy-saving mode can be flexibly selected based on this method, which not only meets communication needs but also achieves efficient energy saving.

[0100] In an optional embodiment, if the complexity of the target tunnel environment includes stability and complexity, then when the complexity of the target tunnel environment is complex, the initial fluctuation threshold of the power supply fluctuation information can be lowered, the weight of the spatial deployment information of the high-speed railway base station equipment can be increased, and the weight of the energy efficiency change information can be increased.

[0101] Alternatively, when the complexity of the target tunnel environment is stable, the initial fluctuation threshold of the power supply fluctuation information is increased, the weight of the spatial deployment information of the high-speed railway base station equipment is reduced, and the weight of the energy efficiency change information is kept constant.

[0102] In an optional implementation, a hierarchical decision path of a multidimensional influencing factor is determined based on a multi-level rule decision tree structure and multidimensional influencing factors, specifically including: determining the branch paths of the multidimensional influencing factors at each level based on the decision conditions of each level of the multi-level rule decision tree structure and the multidimensional influencing factors; and determining the hierarchical decision path of the multidimensional influencing factors according to the branch paths of each level.

[0103] In an optional implementation, the target energy-saving strategy value is calculated based on the hierarchical decision path, specifically including: obtaining the path weight of the branch path at each level in the hierarchical decision path and the energy-saving contribution of the influencing factors at each level; calculating the target energy-saving strategy value based on the path weight of the branch path and the energy-saving contribution of the influencing factors at each level.

[0104] The method for calculating the target energy-saving strategy value provided in the embodiment of the present application takes into account the impact of each level of decision-making on the final goal. By calculating the target energy-saving strategy value layer by layer, the formulation of the energy-saving strategy can be made more reasonable. In addition, each decision-making level can quantify its contribution to the energy-saving effect according to specific influencing factors, thereby avoiding the inaccurate or one-sided evaluation that may be caused by a single decision path.

[0105] Step 14: Based on the energy-saving strategy value, control the high-speed railway base station equipment to enter the shutdown energy-saving mode or the dynamic energy-saving mode.

[0106] Among them, in the shutdown energy-saving mode, all high-speed railway base station equipment in the target tunnel environment is in a closed state; in the dynamic energy-saving mode, at least one high-speed railway base station equipment in the target tunnel environment is in a working state.

[0107] In an embodiment of the present application, if the energy-saving strategy value is less than the preset energy-saving mode threshold, the high-speed railway base station equipment is controlled to enter the shutdown energy-saving mode; or, if the energy-saving strategy value is greater than or equal to the preset energy-saving mode threshold, the high-speed railway base station equipment is controlled to enter the dynamic energy-saving mode.

[0108] In an optional implementation, when the high-speed railway base station equipment is controlled to enter a dynamic energy-saving mode, the target high-speed railway base station equipment that is in a working state in the dynamic energy-saving mode can also be determined; the maximum current value of each branch of the target high-speed railway base station equipment in a sleep state is obtained; based on the maximum current value of each branch in the sleep state, the overload rated current value of the branch is dynamically adjusted.

[0109] By adopting the method provided by the embodiment of the present application, in the train-free stage, the target energy-saving strategy value can be calculated based on the wireless signal coverage change information in the target tunnel environment, the flow information of the active entity, the electromagnetic environment interference information, the climate change information of the target tunnel environment, the signal demand information of the intersection and / or bifurcation interval in the target tunnel environment, the power supply fluctuation information in the target tunnel environment, the spatial deployment information of the high-speed railway base station equipment in the target tunnel environment, the energy efficiency change information of the high-speed railway base station equipment, etc., and then based on the energy-saving strategy value, the high-speed railway base station equipment is controlled to enter the shutdown energy-saving mode or the dynamic energy-saving mode. In this way, the energy-saving mode can be dynamically selected by judging the train timetable and combining multi-dimensional influencing factors, so as to flexibly respond to complex scenes in the tunnel, solve the problems of fixed energy-saving strategies, lack of flexibility and real-time performance in the prior art, and thus improve the energy utilization efficiency of tunnel base station equipment and reduce operating costs.

[0110] Example 2 In order to solve the problems that most energy-saving methods in the prior art rely on fixed rules or static strategies, lack flexibility and real-time performance, and cannot meet the energy-saving needs in the complex environment of high-speed railway tunnels, the present application embodiment provides an energy-saving device for high-speed railway base station equipment in a tunnel environment. The specific structural diagram of the device is shown in FIG. Figure 2 As shown, it includes a judgment module 21, an acquisition module 22, a calculation module 23 and a control module 24. The functions of each module are as follows: A judging module 21, used to judge whether the current time period is a no-train phase according to the train schedule of the train passing through the target tunnel environment; The acquisition module 22 is used to acquire the multi-dimensional influencing factors of the energy-saving strategy if there is no train in the stage, and the multi-dimensional influencing factors include the wireless signal coverage change information in the target tunnel environment, the flow information of the active entity, the electromagnetic environment interference information, the climate change information in the target tunnel environment, the signal demand information of the intersection and / or bifurcation interval in the target tunnel environment, the power supply fluctuation information in the target tunnel environment, the spatial deployment information of the high-speed railway base station equipment in the target tunnel environment, and the energy efficiency change information of the high-speed railway base station equipment; A calculation module 23, used to calculate the target energy-saving strategy value according to the multi-dimensional influencing factors; The control module 24 is used to control the high-speed railway base station equipment to enter the shutdown energy-saving mode or the dynamic energy-saving mode based on the energy-saving strategy value.

[0111] Optionally, the calculation module 23 specifically includes: A hierarchical decision path determination unit, used to determine a hierarchical decision path of multi-dimensional influencing factors based on a multi-level rule decision tree structure and multi-dimensional influencing factors; An energy-saving strategy value determination unit, used to calculate a target energy-saving strategy value according to a hierarchical decision path; Among them, the multi-level rule decision tree structure includes three levels, each level constructs decision conditions for specific influencing factors in the multi-dimensional influencing factors, and the decision results of the decision conditions are used to determine the hierarchical decision path; At the first level, based on the signal demand information of the intersection and / or bifurcation interval and the flow information of the active entity, a first decision condition for determining the communication demand level of the target tunnel environment in the current period is constructed; At the second level, a second decision condition is constructed to judge the complexity of the target tunnel environment according to the wireless signal coverage change information, the electromagnetic environment interference information, and the climate change information, and the second decision condition is dynamically adjusted according to the decision result of the first decision condition; At the third level, based on the power supply fluctuation information, the spatial deployment information of the high-speed rail base station equipment and the energy efficiency change information, a third decision condition is constructed to judge the operating status of the high-speed rail base station equipment, and the third decision condition is dynamically adjusted according to the decision result of the second decision condition.

[0112] Optionally, if the communication demand level includes a high communication demand level and a low communication demand level, the energy saving device further includes a first adjustment module, configured to: When the communication demand level is a high communication demand level, the initial coverage threshold of the wireless signal coverage change information is reduced, the initial tolerance threshold of the electromagnetic environment interference information is increased, and the weight of the climate change information is kept constant; or, When the communication demand level is a low communication demand level, the initial coverage threshold of the wireless signal coverage change information is increased, the initial tolerance threshold of the electromagnetic environment interference information is reduced, and the weight of the climate change information is kept constant.

[0113] Optionally, if the complexity of the target tunnel environment includes stability and complexity, the energy-saving device further includes a second adjustment module, which is used to: When the complexity of the target tunnel environment is complex, the initial fluctuation threshold of the power supply fluctuation information is reduced, the weight of the spatial deployment information of the high-speed railway base station equipment is increased, and the weight of the energy efficiency change information is increased; or, When the complexity of the target tunnel environment is stable, the initial fluctuation threshold of the power supply fluctuation information is increased, the weight of the spatial deployment information of the high-speed railway base station equipment is reduced, and the weight of the energy efficiency change information is kept constant.

[0114] Optionally, a hierarchical decision path determination unit is specifically used to: Based on the decision conditions and multi-dimensional influencing factors at each level of the multi-level rule decision tree structure, the branch paths of the multi-dimensional influencing factors at each level are determined respectively; The hierarchical decision path of multidimensional influencing factors is determined according to the branching path at each level.

[0115] Optionally, the energy-saving strategy value determination unit is specifically used to: Obtain the path weight of the branch path at each level in the hierarchical decision path and the energy saving contribution of the influencing factors at each level; The target energy-saving strategy value is calculated based on the path weights of the branch paths and the energy-saving contribution of the influencing factors at each level.

[0116] Optionally, the control module 24 is specifically used for: When the energy-saving strategy value is less than the preset energy-saving mode threshold, the high-speed railway base station equipment is controlled to enter the shutdown energy-saving mode; or, When the energy-saving strategy value is greater than or equal to the preset energy-saving mode threshold, the high-speed railway base station equipment is controlled to enter the dynamic energy-saving mode.

[0117] Optionally, in the shutdown energy-saving mode, all high-speed railway base station devices in the target tunnel environment are in a shutdown state; In the dynamic energy-saving mode, the target tunnel environment includes at least one high-speed railway base station device in working state.

[0118] Optionally, when controlling the high-speed railway base station equipment to enter the dynamic energy-saving mode, the energy-saving device is also used to: Determine the target high-speed railway base station equipment that is in working state in the dynamic energy-saving mode; Obtain the maximum current value of each branch of the target high-speed railway base station equipment in the sleep state; Based on the maximum current value of each branch in the sleep state, the overload rated current value of the branch is dynamically adjusted.

[0119] By using the device provided in the embodiment of the present application, in the train-free stage, the target energy-saving strategy value can be calculated based on the wireless signal coverage change information in the target tunnel environment, the flow information of the active entity, the electromagnetic environment interference information, the climate change information of the target tunnel environment, the signal demand information of the intersection and / or bifurcation interval in the target tunnel environment, the power supply fluctuation information in the target tunnel environment, the spatial deployment information of the high-speed railway base station equipment in the target tunnel environment, the energy efficiency change information of the high-speed railway base station equipment, etc., and then based on the energy-saving strategy value, the high-speed railway base station equipment is controlled to enter the shutdown energy-saving mode or the dynamic energy-saving mode. In this way, the energy-saving mode can be dynamically selected by judging the train timetable and combining the multi-dimensional influencing factors, so as to flexibly cope with the complex scenes in the tunnel, solve the problems of fixed energy-saving strategies, lack of flexibility and real-time performance in the prior art, so as to improve the energy utilization efficiency of tunnel base station equipment and reduce operating costs.

[0120] Example 3 Figure 3 A hardware structure diagram of an electronic device for implementing various embodiments of the present application, the electronic device may include a processor 301 and a memory 302 storing computer program instructions. Specifically, the processor 301 may include a central processing unit (CPU), or an application specific integrated circuit (ASIC), or may be configured to implement one or more integrated circuits of the embodiments of the present application.

[0121] The memory 302 may include a large capacity memory for data or instructions. By way of example and not limitation, the memory 302 may include a hard disk drive (HDD), a floppy disk drive, a flash memory, an optical disk, a magneto-optical disk, a magnetic tape, or a universal serial bus (USB) drive or a combination of two or more of these. Where appropriate, the memory 302 may include a removable or non-removable (or fixed) medium. Where appropriate, the memory 302 may be inside or outside the electronic device. In a particular embodiment, the memory 302 may be a non-volatile solid-state memory.

[0122] In one embodiment, the memory 302 may be a read-only memory (ROM). In one embodiment, the ROM may be a mask-programmed ROM, a programmable ROM (PROM), an erasable PROM (EPROM), an electrically erasable PROM (EEPROM), an electrically rewritable ROM (EAROM), or a flash memory, or a combination of two or more of these.

[0123] The processor 301 reads and executes the computer program instructions stored in the memory 302 to implement any one of the energy-saving methods for high-speed railway base station equipment in a tunnel environment in the above-mentioned embodiments.

[0124] In one example, the electronic device may further include a communication interface 303 and a bus 310. Figure 3 As shown, the processor 301, the memory 302, and the communication interface 303 are connected via a bus 310 and communicate with each other.

[0125] The communication interface 303 is mainly used to implement communication between various modules, devices, units and / or equipment in the embodiments of the present application.

[0126] The bus 310 includes hardware, software or both, coupling the components of the electronic device to each other. For example, but not limitation, the bus may include an accelerated graphics port (AGP) or other graphics bus, an enhanced industrial standard architecture (EISA) bus, a front-side bus (FSB), a hypertransport (HT) interconnect, an industrial standard architecture (ISA) bus, an infinite bandwidth interconnect, a low pin count (LPC) bus, a memory bus, a microchannel architecture (MCA) bus, a peripheral component interconnect (PCI) bus, a PCI-Express (PCI-X) bus, a serial advanced technology attachment (SATA) bus, a video electronics standard association local (VLB) bus or other suitable bus or a combination of two or more of these. Where appropriate, the bus 310 may include one or more buses. Although the present application embodiment describes and shows a specific bus, the present application considers any suitable bus or interconnect.

[0127] In addition, in combination with the energy-saving method for a high-speed railway base station device in a tunnel environment in the above embodiment, the embodiment of the present application can provide a computer-readable storage medium for implementation. The computer-readable storage medium stores computer program instructions; when the computer program instructions are executed by the processor, any energy-saving method for a high-speed railway base station device in a tunnel environment in the above embodiment is implemented.

[0128] It should be clear that the present application is not limited to the specific configuration and processing described above and shown in the figures. For the sake of simplicity, a detailed description of the known method is omitted here. In the above embodiments, several specific steps are described and shown as examples. However, the method process of the present application is not limited to the specific steps described and shown, and those skilled in the art can make various changes, modifications and additions, or change the order between the steps after understanding the spirit of the present application.

[0129] The above is only an example of a specific implementation of the present application. Those skilled in the art can clearly understand that for the convenience and conciseness of description, the specific working processes of the systems, modules and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0130] Secondly, it should be understood by those skilled in the art that the embodiments of the present application can be provided as methods, systems, or computer program products. Therefore, the present application can adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present application can adopt the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program codes.

[0131] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0132] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0133] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0134] In a typical configuration, a computing device includes one or more processors (CPU), input / output interfaces, network interfaces, and memory.

[0135] Memory may include non-permanent storage in a computer-readable medium, in the form of random access memory (RAM) and / or non-volatile memory, such as read-only memory (ROM) or flash RAM. Memory is an example of a computer-readable medium.

[0136] Computer readable media include permanent and non-permanent, removable and non-removable media that can be implemented by any method or technology to store information. Information can be computer readable instructions, data structures, program modules or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, compact disk read-only memory (CD-ROM), digital versatile disk (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices or any other non-transmission media that can be used to store information that can be accessed by a computing device. As defined herein, computer readable media does not include temporary computer readable media (transitory media), such as modulated data signals and carrier waves.

[0137] It should also be noted that the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, commodity or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, commodity or device. In the absence of more restrictions, the elements defined by the sentence "comprises a ..." do not exclude the existence of other identical elements in the process, method, commodity or device including the elements.

[0138] The above is only an embodiment of the present application and is not intended to limit the present application. For those skilled in the art, the present application may have various changes and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.

Claims

1. A method for energy saving of high-speed railway base station equipment in a tunnel environment, characterized in that: include: According to the train schedule of the trains passing through the target tunnel environment, it is determined whether the current period is a stage without trains; If it is a no-train stage, then obtain the multidimensional influencing factors of the energy-saving strategy, the multidimensional influencing factors including the wireless signal coverage change information in the target tunnel environment, the flow information of the active entity, the electromagnetic environment interference information, the climate change information of the target tunnel environment, the signal demand information of the intersection and / or bifurcation interval in the target tunnel environment, the power supply fluctuation information in the target tunnel environment, the spatial deployment information of the high-speed railway base station equipment in the target tunnel environment, and the energy efficiency change information of the high-speed railway base station equipment; Calculating a target energy-saving strategy value according to the multidimensional influencing factors; Based on the energy-saving strategy value, the high-speed railway base station equipment is controlled to enter a shutdown energy-saving mode or a dynamic energy-saving mode.

2. The method according to claim 1, characterized in that According to the multi-dimensional influencing factors, the target energy-saving strategy value is calculated, specifically including: Determine a hierarchical decision path of the multidimensional influencing factors based on a multi-level rule decision tree structure and the multidimensional influencing factors; Calculating the target energy-saving strategy value according to the hierarchical decision path; The multi-level rule decision tree structure includes three levels, each level constructs a decision condition for a specific influencing factor in the multi-dimensional influencing factors, and the decision result of the decision condition is used to determine the hierarchical decision path; At the first level, based on the signal demand information of the intersection and / or bifurcation interval and the traffic information of the active entity, a first decision condition for determining the communication demand level of the target tunnel environment in the current time period is constructed; At the second level, a second decision condition for judging the complexity of the target tunnel environment is constructed according to the wireless signal coverage change information, the electromagnetic environment interference information, and the climate change information, and the second decision condition is dynamically adjusted according to the decision result of the first decision condition; At the third level, a third decision condition for judging the operating status of the high-speed rail base station equipment is constructed according to the power supply fluctuation information, the spatial deployment information of the high-speed rail base station equipment and the energy efficiency change information, and the third decision condition is dynamically adjusted according to the decision result of the second decision condition.

3. The method according to claim 2, characterized in that If the communication demand level includes a high communication demand level and a low communication demand level, dynamically adjusting the second decision condition according to the decision result of the first decision condition specifically includes: When the communication demand level is a high communication demand level, lowering the initial coverage threshold of the wireless signal coverage change information, increasing the initial tolerance threshold of the electromagnetic environment interference information, and keeping the weight of the climate change information constant; or, When the communication demand level is a low communication demand level, the initial coverage threshold of the wireless signal coverage change information is increased, the initial tolerance threshold of the electromagnetic environment interference information is reduced, and the weight of the climate change information is kept constant.

4. The method according to claim 2, characterized in that If the complexity of the target tunnel environment includes stability and complexity, dynamically adjusting the third decision condition according to the decision result of the second decision condition specifically includes: When the complexity of the target tunnel environment is complex, the initial fluctuation threshold of the power supply fluctuation information is reduced, the weight of the spatial deployment information of the high-speed railway base station equipment is increased, and the weight of the energy efficiency change information is increased; or, When the complexity of the target tunnel environment is stable, the initial fluctuation threshold of the power supply fluctuation information is increased, the weight of the spatial deployment information of the high-speed railway base station equipment is reduced, and the weight of the energy efficiency change information is kept constant.

5. The method according to claim 2, characterized in that Determining a hierarchical decision path of the multidimensional influencing factors based on a multi-level rule decision tree structure and the multidimensional influencing factors specifically includes: Based on the decision conditions of each level of the multi-level rule decision tree structure and the multi-dimensional influencing factors, respectively determine the branch paths of the multi-dimensional influencing factors at each level; The hierarchical decision path of the multi-dimensional influencing factors is determined according to the branch path of each level.

6. The method according to claim 2, characterized in that Calculating the target energy-saving strategy value according to the hierarchical decision path specifically includes: Obtaining the path weight of the branch path at each level in the hierarchical decision path and the energy saving contribution of the influencing factors at each level; The target energy-saving strategy value is calculated according to the path weight of the branch path and the energy-saving contribution of the influencing factors of each level.

7. The method according to claim 1, characterized in that Based on the energy-saving strategy value, controlling the high-speed railway base station device to enter a shutdown energy-saving mode or a dynamic energy-saving mode specifically includes: When the energy-saving strategy value is less than a preset energy-saving mode threshold, the high-speed railway base station device is controlled to enter a shutdown energy-saving mode; or, When the energy-saving strategy value is greater than or equal to the preset energy-saving mode threshold, the high-speed railway base station equipment is controlled to enter the dynamic energy-saving mode.

8. The method according to claim 1, characterized in that In the shutdown energy-saving mode, all high-speed railway base station devices in the target tunnel environment are in a shutdown state; In the dynamic energy-saving mode, the target tunnel environment includes at least one high-speed railway base station device in working state.

9. The method according to claim 1, characterized in that When controlling the high-speed railway base station equipment to enter a dynamic energy-saving mode, the method further includes: Determine the target high-speed railway base station equipment that is in working state in the dynamic energy-saving mode; Obtain the maximum current value of each branch of the target high-speed railway base station equipment in a dormant state; Based on the maximum current value of each branch in the sleep state, the overload rated current value of the branch is dynamically adjusted.

10. An energy-saving device for high-speed railway base station equipment in a tunnel environment, characterized in that: It includes a judgment module, an acquisition module, a calculation module and a control module, wherein: A judgment module, used to judge whether the current time period is a no-train phase according to the train schedule of the train passing through the target tunnel environment; An acquisition module is used to acquire multidimensional influencing factors of the energy-saving strategy if there is no train in the stage, wherein the multidimensional influencing factors include wireless signal coverage change information in the target tunnel environment, flow information of active entities, electromagnetic environment interference information, climate change information of the target tunnel environment, signal demand information of intersections and / or bifurcation intervals in the target tunnel environment, power supply fluctuation information in the target tunnel environment, spatial deployment information of high-speed railway base station equipment in the target tunnel environment, and energy efficiency change information of the high-speed railway base station equipment; A calculation module, used to calculate a target energy-saving strategy value according to the multi-dimensional influencing factors; A control module is used to control the high-speed railway base station equipment to enter a shutdown energy-saving mode or a dynamic energy-saving mode based on the energy-saving strategy value.

11. An electronic device, characterized in that: include: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the computer program is executed by the processor, the steps of the energy-saving method for high-speed railway base station equipment in a tunnel environment as described in any one of claims 1 to 9 are implemented.

12. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, which, when executed by a processor, implements the steps of the energy-saving method for a high-speed railway base station device in a tunnel environment according to any one of claims 1 to 9.

13. A computer program product, characterized in that It includes a computer program, which, when executed by a processor, implements the energy-saving method for high-speed railway base station equipment in a tunnel environment as described in any one of claims 1 to 9.

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