A tunnel environment adjustment method, device and medium based on the Internet of Things

Abstract

The present application discloses a tunnel environment adjustment method, device and medium based on the Internet of Things. The method includes: according to a first preset time interval, through a light sensor set outside the highway tunnel, based on the Internet of Things platform, obtaining the ambient light data outside the highway tunnel as the light data outside the tunnel in the current time period; and determining each preset tunnel section of the highway tunnel; wherein each preset tunnel section constitutes a highway tunnel; based on the light data outside the tunnel, adjusting the distance of each preset tunnel section in the highway tunnel to obtain each target tunnel section corresponding to the current time period; through a traffic monitoring device set within a preset range near the entrance of the highway tunnel, obtaining the traffic flow corresponding to the current time period based on the Internet of Things platform; according to the traffic flow, based on the Internet of Things platform, adjusting the lighting equipment in each target tunnel section respectively, so as to achieve the environment adjustment of each target tunnel section respectively. Through the above technical solution, the driving safety of the highway tunnel can be guaranteed on the basis of energy saving.

Description

Technical Field

[0001] The present application relates to the field of road traffic technology, and in particular to a tunnel environment adjustment method, device and medium based on the Internet of Things. Background Art

[0002] With the development of social economy and production, expressways have emerged in large numbers. In order to ensure that the road line is straight, the slope is gentle, and the road surface is wide, in special cases such as when the road passes through mountainous areas, the detour plan is abandoned as much as possible, and the tunnel plan is adopted to shorten the operating distance, improve the transportation capacity, and reduce the occurrence of accidents.

[0003] Tunnel lighting is an important part of tunnel traffic safety, and generally needs to be lit all day. At the same time, tunnel lighting is significantly different from the visual phenomena encountered on ordinary roads, and tunnel lighting greatly affects driving safety and comfort. In highway tunnel lighting management, loop dimming and timed dimming are usually used. This method will cause a lot of lighting waste when traffic flow is low; if the overall brightness is reduced, it will bring tunnel driving safety risks. Summary of the invention

[0004] The embodiments of the present application propose an Internet-based tunnel environment adjustment method, device and medium, which are used to solve the technical problem of achieving energy saving of tunnel lighting while ensuring tunnel driving safety in the prior art.

[0005] On the one hand, an embodiment of the present application proposes an Internet-based tunnel environment adjustment method, which includes: according to a first preset time interval, through a light sensor arranged outside the highway tunnel, based on an Internet of Things platform, obtaining ambient light data outside the highway tunnel as the light data outside the tunnel in the current time period; and determining each preset tunnel section of the highway tunnel; wherein each preset tunnel section constitutes the highway tunnel; based on the light data outside the tunnel, adjusting the distance of each preset tunnel section in the highway tunnel to obtain each target tunnel section corresponding to the current time period; through a traffic monitoring device arranged within a preset range near the entrance of the highway tunnel, based on the Internet of Things platform, obtaining the traffic flow corresponding to the current time period; according to the traffic flow, based on the Internet of Things platform, adjusting the lighting equipment in each target tunnel section respectively.

[0006] In some embodiments of the present application, the determining of each preset tunnel section of the highway tunnel specifically includes:

[0007] Acquire basic tunnel data of the highway tunnel; wherein the basic tunnel data is used to characterize basic tunnel information of the highway tunnel; and

[0008] determining historical ambient light data for the highway tunnel;

[0009] According to the historical ambient light data and the basic information of the tunnel, each preset tunnel section of the highway tunnel is determined; wherein the preset tunnel section is at least any one of the following: a preset approach section, a preset entrance section, a preset transition section, a preset middle section, and a preset exit section.

[0010] In some embodiments of the present application, adjusting the distances of the preset tunnel sections in the highway tunnel based on the light data outside the tunnel to obtain the target tunnel sections corresponding to the current time period specifically includes:

[0011] Obtain light data in tunnel sections corresponding to each preset tunnel section in the current time period;

[0012] Determine the color temperature difference and brightness difference of each preset tunnel section according to the light data outside the tunnel corresponding to the current time period and the light data inside each current tunnel section;

[0013] Compare the color temperature difference and brightness difference of each preset tunnel section with the corresponding preset value range;

[0014] When the color temperature difference and / or brightness difference of the preset tunnel sections are not within the corresponding preset value range, adjusting the distance of each preset tunnel section in the highway tunnel according to the color temperature difference and / or the brightness difference;

[0015] Obtaining target tunnel sections corresponding to the current time period according to the distances adjusted for the preset tunnel sections;

[0016] The preset tunnel segments correspond to the target tunnel segments one by one.

[0017] In some embodiments of the present application, the obtaining of the traffic flow corresponding to the current time period based on the Internet of Things platform by using a traffic monitoring device disposed within a preset range near the entrance of the highway tunnel specifically includes:

[0018] Determining the tunnel type of the highway tunnel, the tunnel type including at least any one of the following: single-hole double-track, double-hole single-track; and

[0019] By means of a traffic monitoring device disposed within a preset range near the entrance of the highway tunnel, based on the Internet of Things platform, vehicles traveling within the preset range of the highway tunnel are acquired at a second preset time interval;

[0020] The traffic volume corresponding to the current time period is determined according to the travel speed and travel route of each traveling vehicle and the tunnel type of the highway tunnel.

[0021] In some embodiments of the present application, after adjusting the lighting equipment in each target tunnel section based on the Internet of Things platform according to the traffic flow, the method further includes:

[0022] If it is determined that the highway tunnel is in a congested state according to the traffic volume corresponding to the current time period, then obtaining tunnel section light data of each target tunnel section after adjusting the lighting equipment;

[0023] When the light data in the tunnel section meets corresponding preset conditions, re-collecting the vehicle flow;

[0024] Determine the change growth amount corresponding to the traffic flow according to the re-collected traffic flow and the traffic flow corresponding to the current time period;

[0025] If the change growth amount is lower than the preset growth amount, the lighting equipment of the target tunnel section is adjusted for the second time until the tunnel section lighting data after adjustment of each lighting equipment meets the corresponding preset conditions and the change growth amount is higher than the preset growth amount.

[0026] In some embodiments of the present application, after adjusting the lighting equipment in each target tunnel section based on the Internet of Things platform according to the traffic volume, the method further includes:

[0027] Obtaining initial air pollutant concentrations in each target tunnel section;

[0028] In the case that the initial air pollutant concentration does not match the corresponding preset value range, the lighting equipment of the corresponding adjusted target tunnel section is adjusted for the second time.

[0029] In some embodiments of the present application, before performing a secondary adjustment on the lighting equipment of the corresponding adjusted target tunnel section, the method further includes:

[0030] When the initial air pollutant concentration does not match the corresponding preset value range, a corresponding control instruction is sent to a fan arranged in the highway tunnel, so that the fan determines a corresponding working state according to the control instruction;

[0031] After the fan operates for a corresponding preset time, obtaining a current air pollutant concentration of the target tunnel section;

[0032] When the current air pollutant concentration does not match the corresponding preset value range, a secondary adjustment is performed on the lighting equipment of the corresponding adjusted target tunnel section;

[0033] And send a corresponding control instruction to the fan, so that the fan stops working according to the control instruction.

[0034] In some embodiments of the present application, adjusting the lighting equipment of each target tunnel section based on the Internet of Things platform according to the traffic volume specifically includes:

[0035] Control the light brightness and / or working state of each lighting lamp in the target tunnel section; wherein the working state of the lighting lamp includes turning the lighting lamp on and turning the lighting lamp off.

[0036] On the other hand, the embodiment of the present application further provides a tunnel environment adjustment device based on the Internet of Things, which may include:

[0037] at least one processor; and,

[0038] a memory communicatively connected to the at least one processor; wherein,

[0039] The memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to perform, for example:

[0040] According to a first preset time interval, using a light sensor disposed outside the highway tunnel, based on the Internet of Things platform, obtains ambient light data outside the highway tunnel as light data outside the tunnel in the current time period; and

[0041] Determining each preset tunnel section of the highway tunnel; wherein the each preset tunnel section constitutes the highway tunnel;

[0042] Based on the light data outside the tunnel, adjusting the distances of the preset tunnel sections in the highway tunnel to obtain the target tunnel sections corresponding to the current time period;

[0043] By setting up a traffic monitoring device within a preset range near the entrance of the highway tunnel, the traffic flow corresponding to the current time period is obtained based on the Internet of Things platform;

[0044] According to the traffic volume and based on the Internet of Things platform, the lighting equipment in each target tunnel section is adjusted respectively, so as to adjust the environment of each target tunnel section respectively.

[0045] On the other hand, the embodiment of the present application further provides a non-volatile computer storage medium storing computer executable instructions, wherein the computer executable instructions are configured as follows:

[0046] According to a first preset time interval, using a light sensor disposed outside the highway tunnel, based on the Internet of Things platform, obtains ambient light data outside the highway tunnel as light data outside the tunnel in the current time period; and

[0047] Determining each preset tunnel section of the highway tunnel; wherein the each preset tunnel section constitutes the highway tunnel;

[0048] Based on the light data outside the tunnel, adjusting the distances of the preset tunnel sections in the highway tunnel to obtain the target tunnel sections corresponding to the current time period;

[0049] By setting up a traffic monitoring device within a preset range near the entrance of the highway tunnel, the traffic flow corresponding to the current time period is obtained based on the Internet of Things platform;

[0050] According to the traffic volume and based on the Internet of Things platform, the lighting equipment in each target tunnel section is adjusted respectively, so as to adjust the environment of each target tunnel section respectively.

[0051] The tunnel environment adjustment method based on the Internet of Things proposed in this application can bring the following beneficial effects: it can ensure the driving safety in the highway tunnel on the basis of energy saving. By adjusting the preset tunnel sections under different external environments in real time, it can further ensure the accuracy and real-time nature of the division of each part in the tunnel, and further ensure the effect of the environment adjustment in the tunnel. BRIEF DESCRIPTION OF THE DRAWINGS

[0052] 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:

[0053] Figure 1 A schematic diagram of a flow chart of a tunnel environment adjustment method based on the Internet of Things provided in an embodiment of the present application;

[0054] Figure 2 Another schematic diagram of the flow of the tunnel environment adjustment method based on the Internet of Things provided in an embodiment of the present application;

[0055] Figure 3 Another schematic diagram of the flow of the tunnel environment adjustment method based on the Internet of Things provided in an embodiment of the present application;

[0056] Figure 4 Another schematic diagram of the flow of the tunnel environment adjustment method based on the Internet of Things provided in an embodiment of the present application;

[0057] Figure 5It is a structural schematic diagram of a tunnel environment adjustment method and device based on the Internet of Things in an embodiment of the present application. DETAILED DESCRIPTION

[0058] 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.

[0059] The technical solutions provided by various embodiments of the present application are described in detail below in conjunction with the accompanying drawings.

[0060] Tunnel lighting is an important part of highway tunnel traffic safety and is very important for road traffic. Therefore, how to achieve energy saving in tunnel lighting while ensuring tunnel driving safety has become a crucial technical issue.

[0061] Figure 1 The present application provides a flow chart of a tunnel environment adjustment method based on the Internet of Things. Figure 1 As shown, a tunnel environment adjustment method based on the Internet of Things provided in an embodiment of the present application may include the following steps:

[0062] S101, a control device obtains ambient light data outside the highway tunnel based on an Internet of Things platform at a first preset time interval through a light sensor disposed outside the highway tunnel, as light data outside the tunnel in a current time period.

[0063] In the embodiment of the present application, the ambient light data outside the highway tunnel is used to characterize the lighting environment outside the highway tunnel. The light data outside the tunnel may include: a color temperature value outside the tunnel and a brightness value outside the tunnel. The color temperature value outside the tunnel and the brightness value outside the tunnel may be obtained by corresponding light sensors disposed outside the highway tunnel, or may be obtained by calculation from other data. In the embodiment of the present application, the method for obtaining the color temperature value outside the tunnel and the brightness value outside the tunnel is not limited.

[0064] Color temperature is a physical quantity used to define the color of a light source in lighting optics. That is, when a black body is heated to a temperature, the temperature of the light it emits is the same as the color of the light emitted by a certain light source. The temperature at which the black body is heated is called the color temperature of the light source. It is an important parameter of light. Different light color temperature values ​​stimulate the eyes differently, so the human eye needs an adaptation process to the change of color temperature. Similarly, light brightness is also a representation of light intensity, and changes in brightness will also affect the vision of the human eye.

[0065] In the embodiment of the present application, a corresponding Internet of Things platform can be pre-built, and the Internet of Things platform can include control devices, light sensors, traffic control devices, and lighting devices in highway tunnels. It is known to those skilled in the art that, according to actual application conditions, the Internet of Things platform can also include other devices, such as air pollution concentration sensors, fans in tunnels, and other devices. Through the pre-built Internet of Things platform, the adjustment of lights in highway tunnels can be achieved through the Internet of Things.

[0066] It should be noted that the above-mentioned first preset time interval can be adjusted according to actual conditions, and the specific setting can be determined according to actual conditions, which is not limited in the embodiments of the present application.

[0067] It can be understood that the above-mentioned control device can be a terminal device such as a desktop computer, a mobile phone, a tablet computer, etc. The above-mentioned control device only exists as an example and does not constitute any limitation on the technical solution in this application. In specific applications, technical personnel in this field can make a choice as needed, and this application does not impose specific restrictions on this.

[0068] S102: The control device determines each preset tunnel section of the highway tunnel.

[0069] In the embodiment of the present application, the highway tunnel can be divided into an approach section, an entrance section, a transition section, a middle section, and an exit section. Therefore, the corresponding preset tunnel section is at least any one of the following: a preset approach section, a preset entrance section, a preset transition section, a preset middle section, and a preset exit section. In other words, the preset tunnel sections together constitute the above-mentioned highway tunnel.

[0070] In some embodiments of the present application, the control device may obtain basic tunnel data and historical ambient light data of the highway tunnel, and then determine each preset tunnel section of the highway tunnel according to the basic tunnel information and historical ambient light data.

[0071] The above tunnel basic data is used to characterize the basic information of the highway tunnel, which may include the geographical location of the highway tunnel, the length of the highway tunnel, the width of the highway tunnel, etc. The above historical ambient light data may be obtained from a database storing data related to the length of the highway tunnel.

[0072] In the embodiment of the present application, the environmental pipeline data of the historical time period corresponding to the current time period is determined through the historical environmental light data, so as to determine the approximate light data of the highway tunnel in the current time period. For example, if the current time period is 12:00-12:30 noon, the light data of the highway tunnel at 12:00-12:30 noon in the past can be obtained.

[0073] Through the above method, the highway tunnel can be initially divided and stored according to the basic information of the tunnel and the historical ambient light data for subsequent use.

[0074] It is understandable that the preset tunnel segment may also be determined according to other existing methods, which is not limited in the embodiments of the present application.

[0075] It should be noted that in the present application: in the embodiment, step S101 can be executed first and then step S102, or step S102 can be executed first and then step S101, or step S101 and step S102 can be executed at the same time, which is not specifically limited in the embodiment of the present application.

[0076] S103, the control device adjusts the distance of each preset tunnel section in the highway tunnel based on the light data outside the tunnel to obtain each target tunnel section corresponding to the current time period.

[0077] As can be seen from the above, the preset tunnel segment is a common division method for corresponding highway tunnels. In the prior art, after the initial division, it is generally not adjusted again, and then the corresponding lighting control is directly performed according to the type of the preset tunnel segment. However, due to the influence of environmental factors, the preset tunnel segment divided initially may no longer be applicable.

[0078] Based on this, in some embodiments of the present application, the above step S103 can be implemented by the following steps: Figure 2 As shown:

[0079] S201, the control device may obtain tunnel light data corresponding to each preset tunnel section in the current time period according to the corresponding preset time interval.

[0080] As can be seen from the above, the light data in the tunnel includes: the color temperature value in the tunnel and the brightness value in the tunnel. The light data in the tunnel can also be collected by corresponding sensors.

[0081] S202, the control device determines the color temperature difference and the brightness difference of each preset tunnel section according to the light data outside the tunnel and the light data inside the tunnel corresponding to the current time period.

[0082] It is understandable that the color temperature difference of each preset tunnel section can be obtained by performing a difference calculation between the color temperature value inside the tunnel and the color temperature value outside the tunnel. For example, if the color temperature value inside the tunnel of the preset entrance section is A1 and the color temperature value outside the tunnel is A2, then the color temperature value of the preset entrance section is A2-A1. Similarly, the brightness difference value in each preset tunnel section can also be obtained as described above, which will not be described in detail here.

[0083] S203, the control device compares the color temperature difference and the brightness difference of each preset tunnel section with the corresponding preset value range.

[0084] In the embodiment of the present application, a corresponding value range may be pre-set for each preset tunnel segment for comparison with the corresponding color temperature difference and brightness difference.

[0085] S204, when the color temperature difference and / or brightness difference of the preset tunnel sections are not within the corresponding preset value range, the control device adjusts the distance of each preset tunnel section in the highway tunnel according to the color temperature difference and / or the brightness difference.

[0086] Due to the influence of environmental factors, the color temperature difference inside and outside the tunnel will change to a certain extent. In addition, due to the influence of the length of the highway tunnel, the color temperature difference between each tunnel section in the tunnel will also be different. Therefore, the distance of the tunnel section calculated by the corresponding preset tunnel can be adjusted according to the color temperature difference and brightness difference, so as to obtain the target tunnel section suitable for the current environment, which can save power resources to a certain extent and achieve energy saving of highway tunnel lighting.

[0087] S205, the control device obtains each target tunnel segment corresponding to the current time period according to the distance adjusted by each preset tunnel segment.

[0088] Therein, each preset tunnel segment corresponds to each target tunnel segment one by one.

[0089] S104, the control device obtains the traffic volume corresponding to the current time period based on the Internet of Things platform through the traffic monitoring equipment set up in a preset range near the entrance of the highway tunnel.

[0090] In some embodiments of the present application, the control device may determine the tunnel type of the highway tunnel and the number of vehicles traveling within a preset range of the highway tunnel acquired at a second preset time interval, and then determine the traffic volume corresponding to the current time period according to the driving speed, driving route and tunnel type of each vehicle.

[0091] The above-mentioned tunnel types may include single-hole double-track and double-hole single-track. It is understandable that a single-hole double-track refers to a tunnel with two parallel lines going back and forth, and a double-hole single-track refers to a tunnel that can only go one way. The above-mentioned vehicles traveling within the preset range of the highway tunnel obtained at the second preset time interval can be obtained by the control device based on the traffic monitoring device set in the preset range near the entrance of the highway tunnel in the pre-built Internet of Things platform.

[0092] In the embodiment of the present application, vehicles traveling in the highway tunnel within a preset range are obtained at a second preset time interval. By using the vehicle's speed, route, and tunnel type, it is possible to predict whether the vehicle passes through the highway tunnel and the time it takes to pass through the highway tunnel, thereby predicting the traffic volume corresponding to the current time period.

[0093] S105, the control device adjusts the lighting equipment in each target tunnel section according to the above-mentioned vehicle flow and based on the Internet of Things platform to adjust the environment of each target tunnel section.

[0094] In some embodiments of the present application, the control device can control the light brightness and / or working state of the lighting device in the target tunnel section through the Internet of Things platform. The working state of the lighting device may include turning the light on or off.

[0095] In the embodiment of the present application, the vehicle traffic in the highway tunnel in the current time period can be learned through the above-mentioned predicted traffic volume, so as to adjust the lighting of the target tunnel section. For example, when the traffic volume in the current time period is 0, the tunnel lighting can be temporarily adjusted.

[0096] Moreover, if the brightness of the lights in the tunnel changes suddenly, it will cause negative visual effects to people driving in the tunnel and increase driving risks. However, by predicting the traffic volume corresponding to the current time period, the lights can be gradually adjusted to ensure tunnel traffic safety.

[0097] In the tunnel environment adjustment method based on the Internet of Things provided in this application, the preset tunnel section is adjusted through the light data outside the tunnel in the current time period to obtain the target tunnel section adapted to different environments, thereby saving energy on tunnel lighting. In addition, the lighting equipment of the target tunnel section is adjusted according to the traffic volume corresponding to the current time period, further realizing energy saving of tunnel lighting while ensuring the traffic safety of the highway tunnel.

[0098] After step S105, Figure 3 As shown, the tunnel environment adjustment method based on the Internet of Things provided in the embodiment of the present application may also include the following steps:

[0099] S301, the controller obtains tunnel section light data of each target tunnel section after executing step S105 according to the collection equipment pre-set in the highway tunnel.

[0100] In the embodiment of the present application, the tunnel section light data of the target tunnel section refers to the light data in the target tunnel section, and may also include: color temperature value and brightness value. The acquisition device is a sensor that can acquire color temperature and brightness.

[0101] S302, when the light data of the tunnel section after the light adjustment does not meet the preset conditions, the controller performs a second adjustment on the light equipment of the target tunnel section until the light data of each target tunnel section meets the corresponding preset conditions.

[0102] Since the lighting lamps in the highway tunnel have a certain service life, they will inevitably be damaged. Therefore, through the above steps S101-S102, the adjusted target tunnel section is tested to determine whether it meets the expected requirements after adjustment. If it does not meet the expected requirements, a secondary adjustment can be made, such as increasing the light brightness or enabling a backup light source, so as to further ensure the tunnel driving safety while saving energy. In addition, through this method, it can also be determined whether there are any abnormalities in the lighting lamps, and timely maintenance can be performed.

[0103] In addition, in the embodiment of the present application, it is also possible to determine whether the highway tunnel is in a congested state according to the traffic monitoring equipment set in the highway tunnel. For example, when the traffic volume is low, it can be considered to be in a congested state. In the case that the current highway tunnel is in a congested state, it may be due to the poor light environment in the tunnel, which causes the driver to drive slowly, thereby causing a congested state. At this time, the tunnel section light data of each target tunnel section after the light equipment is adjusted is obtained. When the light data of the tunnel section meets the corresponding preset conditions (for example, the adjusted light data meets the preset light range), the traffic volume is re-collected, and then the change growth amount is determined based on the re-collected traffic volume and the traffic volume corresponding to the current time period that has been collected before. If the change growth amount is lower than the preset growth amount, it means that the current light adjustment has little significance for adjusting the congested state. At this time, the light equipment is adjusted for the second time until the tunnel section light data meets the corresponding preset conditions and the change growth amount is higher than the preset growth amount, so as to achieve a state of reducing congestion.

[0104] In highway tunnels, in addition to the influence of natural environmental factors such as smog weather, air pollutants emitted by vehicle exhaust in highway tunnels can also cause low visibility in highway tunnels, requiring enhanced lighting, thereby increasing energy consumption.

[0105] Based on this, after step S105, if Figure 4 As shown, the method for adjusting the environment in a tunnel provided in the embodiment of the present application may further include the following steps:

[0106] S401, the control device obtains the initial air pollutant concentration in each target tunnel section.

[0107] S402, the control device determines whether the initial air pollutant concentration matches the corresponding preset value range.

[0108] S403, when the initial air pollutant concentration does not match the corresponding preset value range, the control device sends a corresponding control execution to the fan arranged in the highway tunnel.

[0109] When the initial air pollutant concentration in the tunnel exceeds the corresponding preset value range, the visibility in the highway tunnel will be reduced.

[0110] S404, the fan determines a corresponding working state according to the received control instruction.

[0111] The working state of the fan may include start and stop.

[0112] S405, after the fan operates for a corresponding preset time, the control device obtains the current air pollutant concentration of the target tunnel section.

[0113] S406, when the current air pollutant concentration does not match the corresponding preset value range, secondary adjustment is performed on the lighting equipment of the target tunnel section after executing step S105.

[0114] S407, the control device sends a corresponding control instruction to the wind turbine through the Internet of Things platform, so that the wind turbine stops working according to the control instruction.

[0115] As can be seen from the above, when the concentration of air pollutants in the target tunnel section exceeds the preset range, the fan can be controlled to work first to reduce the concentration of air pollutants. In addition, after the fan has worked for a corresponding period of time, the concentration of air pollutants can be collected again. If the concentration of air pollutants collected again still exceeds the preset range, the lights can be adjusted again, thereby further saving electricity.

[0116] Figure 5 A schematic diagram of the structure of a tunnel environment adjustment device based on the Internet of Things provided in an embodiment of the present application is shown in FIG. Figure 5 As shown, the device includes: at least one processor; and a memory connected to the at least one processor in communication; wherein the memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can perform the following:

[0117] According to a first preset time interval, using a light sensor disposed outside the highway tunnel, based on the Internet of Things platform, obtains ambient light data outside the highway tunnel as light data outside the tunnel in the current time period; and

[0118] Determining each preset tunnel section of the highway tunnel; wherein the each preset tunnel section constitutes the highway tunnel;

[0119] Based on the light data outside the tunnel, adjusting the distances of the preset tunnel sections in the highway tunnel to obtain the target tunnel sections corresponding to the current time period;

[0120] By setting up a traffic monitoring device within a preset range near the entrance of the highway tunnel, the traffic flow corresponding to the current time period is obtained based on the Internet of Things platform;

[0121] According to the traffic volume and based on the Internet of Things platform, the lighting equipment in each target tunnel section is adjusted respectively, so as to adjust the environment of each target tunnel section respectively.

[0122] The embodiment of the present application also provides a non-volatile computer storage medium storing computer executable instructions, wherein the computer executable instructions are configured to: obtain ambient light data outside the highway tunnel based on an Internet of Things platform at a first preset time interval through a light sensor disposed outside the highway tunnel as light data outside the tunnel for a current time period; and determine preset tunnel sections of the highway tunnel; wherein the preset tunnel sections constitute the highway tunnel; based on the light data outside the tunnel, adjust the distance of the preset tunnel sections within the highway tunnel to obtain target tunnel sections corresponding to the current time period; obtain the vehicle flow corresponding to the current time period based on the Internet of Things platform through a traffic monitoring device disposed within a preset range near the entrance of the highway tunnel; and adjust the lighting equipment within the target tunnel sections based on the Internet of Things platform according to the vehicle flow to adjust the environment of the target tunnel sections respectively.

[0123] Each embodiment in this application is described in a progressive manner, and the same or similar parts between the embodiments can be referred to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the device and medium embodiments, since they are basically similar to the method embodiments, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiments.

[0124] The devices and media provided in the embodiments of the present application correspond one-to-one to the methods. Therefore, the devices and media also have similar beneficial technical effects as the corresponding methods. Since the beneficial technical effects of the methods have been described in detail above, the beneficial technical effects of the devices and media will not be repeated here.

[0125] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment in combination with software and hardware. Moreover, the present application may adopt the form of a computer program product implemented in one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) that include computer-usable program code.

[0126] 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.

[0127] 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.

[0128] 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.

[0129] In a typical configuration, a computing device includes one or more processors (CPU), input / output interfaces, network interfaces, and memory.

[0130] The memory may include non-permanent storage in a computer-readable medium, random access memory (RAM) and / or non-volatile memory in the form of read-only memory (ROM) or flash RAM. The memory is an example of a computer-readable medium.

[0131] 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.

[0132] 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.

[0133] 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 tunnel environment adjustment method based on the Internet of Things, characterized in that: The method comprises: According to a first preset time interval, using a light sensor disposed outside the highway tunnel, based on the Internet of Things platform, obtains ambient light data outside the highway tunnel as light data outside the tunnel in the current time period; and Determining each preset tunnel section of the highway tunnel; wherein the each preset tunnel section constitutes the highway tunnel; Based on the light data outside the tunnel, adjusting the distances of the preset tunnel sections in the highway tunnel to obtain the target tunnel sections corresponding to the current time period; By setting up a traffic monitoring device within a preset range near the entrance of the highway tunnel, the traffic flow corresponding to the current time period is obtained based on the Internet of Things platform; According to the traffic volume, based on the Internet of Things platform, the lighting equipment in each target tunnel section is adjusted respectively, so as to adjust the environment of each target tunnel section respectively; The adjusting, based on the light data outside the tunnel, the distances of the preset tunnel sections in the highway tunnel to obtain the target tunnel sections corresponding to the current time period specifically includes: Obtain light data in tunnel sections corresponding to each preset tunnel section in the current time period; Determine the color temperature difference and brightness difference of each preset tunnel section according to the light data outside the tunnel corresponding to the current time period and the light data inside each current tunnel section; Compare the color temperature difference and brightness difference of each preset tunnel section with the corresponding preset value range; When the color temperature difference and / or the brightness difference of the preset tunnel sections are not within the corresponding preset value range, adjusting the distance of each preset tunnel section in the highway tunnel according to the color temperature difference and / or the brightness difference; Obtaining each target tunnel segment corresponding to the current time period according to the distance adjusted by each preset tunnel segment; wherein the preset tunnel segment corresponds to the target tunnel segment one by one; After adjusting the lighting equipment in each target tunnel section based on the Internet of Things platform according to the traffic volume, the method further includes: If it is determined that the highway tunnel is in a congested state according to the traffic volume corresponding to the current time period, then obtaining tunnel section light data of each target tunnel section after adjusting the lighting equipment; When the light data of the tunnel section meets corresponding preset conditions, re-collecting the vehicle flow; Determine the change growth amount corresponding to the traffic flow according to the re-collected traffic flow and the traffic flow corresponding to the current time period; If the change growth amount is lower than the preset growth amount, the lighting equipment of the target tunnel section is adjusted for the second time until the tunnel section lighting data after adjustment of each lighting equipment meets the corresponding preset conditions and the change growth amount is higher than the preset growth amount.

2. The method according to claim 1, characterized in that The determining of the preset tunnel sections of the highway tunnel specifically includes: Acquire basic tunnel data of the highway tunnel; wherein the basic tunnel data is used to characterize basic tunnel information of the highway tunnel; and determining historical ambient light data for the highway tunnel; According to the historical ambient light data and the basic information of the tunnel, each preset tunnel section of the highway tunnel is determined; wherein the preset tunnel section is at least any one of the following: a preset approach section, a preset entrance section, a preset transition section, a preset middle section, and a preset exit section.

3. The method according to claim 1, characterized in that The obtaining of the traffic flow corresponding to the current time period based on the Internet of Things platform by using a traffic monitoring device disposed within a preset range near the entrance of the highway tunnel specifically includes: Determining the tunnel type of the highway tunnel, the tunnel type including at least any one of the following: single-hole double-track, double-hole single-track; and By means of a traffic monitoring device disposed within a preset range near the entrance of the highway tunnel, based on the Internet of Things platform, vehicles traveling within the preset range of the highway tunnel are acquired at a second preset time interval; The traffic volume corresponding to the current time period is determined according to the travel speed and travel route of each traveling vehicle and the tunnel type of the highway tunnel.

4. The method according to claim 1, characterized in that: After adjusting the lighting equipment in each target tunnel section based on the Internet of Things platform according to the traffic volume, the method further includes: Obtaining initial air pollutant concentrations in each target tunnel section; In the case that the initial air pollutant concentration does not match the corresponding preset value range, the lighting equipment of the corresponding adjusted target tunnel section is adjusted for the second time.

5. The method according to claim 4, characterized in that Before performing secondary adjustment on the lighting equipment of the corresponding adjusted target tunnel section, the method further includes: When the initial air pollutant concentration does not match the corresponding preset value range, a corresponding control instruction is sent to a fan arranged in the highway tunnel, so that the fan determines a corresponding working state according to the control instruction; After the fan operates for a corresponding preset time, obtaining a current air pollutant concentration of the target tunnel section; When the current air pollutant concentration does not match the corresponding preset value range, a secondary adjustment is performed on the lighting equipment of the corresponding adjusted target tunnel section; And send a corresponding control instruction to the fan, so that the fan stops working according to the control instruction.

6. The method according to claim 1, characterized in that The adjusting the lighting equipment of each target tunnel section according to the traffic volume and based on the Internet of Things platform specifically includes: Control the light brightness and / or working state of each lighting lamp in the target tunnel section; wherein the working state of the lighting lamp includes turning the lighting lamp on and turning the lighting lamp off.

7. A tunnel environment adjustment device based on the Internet of Things, characterized in that: include: at least one processor; as well as, a memory communicatively connected to the at least one processor; wherein, The memory stores instructions executable by the at least one processor, the instructions being executed by the at least one processor to enable the at least one processor to execute: According to a first preset time interval, using a light sensor disposed outside the highway tunnel, based on the Internet of Things platform, obtains ambient light data outside the highway tunnel as light data outside the tunnel in the current time period; and Determining each preset tunnel section of the highway tunnel; wherein the each preset tunnel section constitutes the highway tunnel; Based on the light data outside the tunnel, adjusting the distances of the preset tunnel sections in the highway tunnel to obtain the target tunnel sections corresponding to the current time period; By setting up a traffic monitoring device within a preset range near the entrance of the highway tunnel, the traffic flow corresponding to the current time period is obtained based on the Internet of Things platform; According to the traffic volume, based on the Internet of Things platform, the lighting equipment in each target tunnel section is adjusted respectively, so as to adjust the environment of each target tunnel section respectively; The adjusting, based on the light data outside the tunnel, the distances of the preset tunnel sections in the highway tunnel to obtain the target tunnel sections corresponding to the current time period specifically includes: Obtain light data in tunnel sections corresponding to each preset tunnel section in the current time period; Determine the color temperature difference and brightness difference of each preset tunnel section according to the light data outside the tunnel corresponding to the current time period and the light data inside each current tunnel section; Compare the color temperature difference and brightness difference of each preset tunnel section with the corresponding preset value range; When the color temperature difference and / or the brightness difference of the preset tunnel sections are not within the corresponding preset value range, adjusting the distance of each preset tunnel section in the highway tunnel according to the color temperature difference and / or the brightness difference; Obtaining each target tunnel segment corresponding to the current time period according to the distance adjusted by each preset tunnel segment; wherein the preset tunnel segment corresponds to the target tunnel segment one by one; After adjusting the lighting equipment in each target tunnel section based on the Internet of Things platform according to the traffic flow, the method further includes: If it is determined that the highway tunnel is in a congested state according to the traffic volume corresponding to the current time period, then obtaining tunnel section light data of each target tunnel section after adjusting the lighting equipment; When the light data of the tunnel section meets corresponding preset conditions, re-collecting the vehicle flow; Determine the change growth amount corresponding to the traffic flow according to the re-collected traffic flow and the traffic flow corresponding to the current time period; If the change growth amount is lower than the preset growth amount, the lighting equipment of the target tunnel section is adjusted for the second time until the tunnel section lighting data after adjustment of each lighting equipment meets the corresponding preset conditions and the change growth amount is higher than the preset growth amount.

8. A non-volatile computer storage medium storing computer executable instructions, characterized in that: The computer executable instructions are configured to: According to a first preset time interval, the ambient light data outside the highway tunnel is obtained based on the Internet of Things platform through a light sensor disposed outside the highway tunnel, as the light data outside the tunnel in the current time period; as well as Determining each preset tunnel section of the highway tunnel; wherein the each preset tunnel section constitutes the highway tunnel; Based on the light data outside the tunnel, the distances of the preset tunnel sections in the highway tunnel are adjusted to obtain the target tunnel sections corresponding to the current time period; and the traffic flow corresponding to the current time period is obtained based on the Internet of Things platform by setting up a traffic monitoring device within a preset range near the entrance of the highway tunnel; According to the traffic volume, based on the Internet of Things platform, the lighting equipment in each target tunnel section is adjusted respectively, so as to adjust the environment of each target tunnel section respectively; The adjusting, based on the light data outside the tunnel, the distances of the preset tunnel sections in the highway tunnel to obtain the target tunnel sections corresponding to the current time period specifically includes: Obtain light data in tunnel sections corresponding to each preset tunnel section in the current time period; Determine the color temperature difference and brightness difference of each preset tunnel section according to the light data outside the tunnel corresponding to the current time period and the light data inside each current tunnel section; Compare the color temperature difference and brightness difference of each preset tunnel section with the corresponding preset value range; When the color temperature difference and / or the brightness difference of the preset tunnel sections are not within the corresponding preset value range, adjusting the distance of each preset tunnel section in the highway tunnel according to the color temperature difference and / or the brightness difference; Obtaining each target tunnel segment corresponding to the current time period according to the distance adjusted by each preset tunnel segment; wherein the preset tunnel segment corresponds to the target tunnel segment one by one; After adjusting the lighting equipment in each target tunnel section based on the Internet of Things platform according to the traffic flow, the method further includes: If it is determined that the highway tunnel is in a congested state according to the traffic volume corresponding to the current time period, then obtaining tunnel section light data of each target tunnel section after adjusting the lighting equipment; When the light data of the tunnel section meets corresponding preset conditions, re-collecting the vehicle flow; Determine the change growth amount corresponding to the traffic flow according to the re-collected traffic flow and the traffic flow corresponding to the current time period; If the change growth amount is lower than the preset growth amount, the lighting equipment of the target tunnel section is adjusted for the second time until the tunnel section lighting data after adjustment of each lighting equipment meets the corresponding preset conditions and the change growth amount is higher than the preset growth amount.

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