Tunnel environment optimization method, device and system, storage medium and product

Abstract

The invention discloses a tunnel environment optimization method, device and system, a storage medium and a product, and relates to the technical field of limited space operation environment optimizing.The tunnel environment optimization method comprises the steps that target environment information of all areas in a tunnel is obtained; analyzing the target environment information to obtain an environment early warning level of each region in the tunnel; generating a corresponding ventilator working instruction according to the environment early warning level; and the ventilator working instruction is transmitted to the ventilator, so that the ventilator optimizes the environment in the tunnel. Compared with the prior art, the tunnel environment is optimized by obtaining the related data of the environment in the tunnel, forming environment quality visualization, analyzing the environment early warning level of each section and dynamically adjusting the power and the working time of the ventilator, so that the tunnel environment optimization is more efficient, environment-friendly and intelligent.

Description

Technical Field

[0001] The present invention relates to the technical field of limited space working environment optimization, and in particular to a tunnel environment optimization method, device, system, storage medium and product. Background Art

[0002] In the construction of long and large tunnels, the quality of the working environment directly affects the health and safety of the construction workers, as well as the quality and efficiency of the construction. In domestic tunnel construction, the working environment is mainly improved through technologies such as forced ventilation, exhaust ventilation, mixed ventilation, jet fans, and large-diameter air ducts. However, there is still a certain gap in the technology for improving the working environment, and monitoring of the working environment in confined spaces is particularly important.

[0003] The above contents are only used to assist in understanding the technical solution of the present invention and do not constitute an admission that the above contents are prior art. Summary of the invention

[0004] The main purpose of the present invention is to provide a tunnel environment optimization method, device, system, storage medium and product, aiming to solve the technical problem that the quality of the working environment directly affects the health and safety of construction workers.

[0005] To achieve the above object, the present invention proposes a tunnel environment optimization method, the method comprising:

[0006] Obtain target environment information in various areas within the tunnel;

[0007] Analyzing the target environmental information to obtain environmental warning levels of various areas in the tunnel;

[0008] Generate a corresponding ventilator working instruction according to the environmental warning level;

[0009] The ventilator operation instruction is transmitted to the ventilator so that the ventilator optimizes the environment in the tunnel.

[0010] In one embodiment, the step of analyzing the target environmental information to obtain the environmental warning level of each area in the tunnel includes:

[0011] Comparing the target environment information with preset target environment information to obtain an information difference;

[0012] The environmental warning level of each area in the tunnel is determined according to the information difference.

[0013] In one embodiment, the ventilator working instruction includes a gear position instruction and a working time instruction, and the step of generating a corresponding ventilator working instruction according to the environmental warning level includes:

[0014] Determining the power and working time of the ventilator according to the environmental warning level;

[0015] The gear position instruction corresponding to the power is generated, and the working duration instruction corresponding to the working duration is generated.

[0016] In one embodiment, the step of transmitting the ventilator working instruction to the ventilator so that the ventilator optimizes the environment in the tunnel includes:

[0017] Transmitting the gear position instruction to the ventilator to set the working power of the ventilator;

[0018] Transmitting the working time instruction to the ventilator to set the working time of the ventilator;

[0019] The ventilator is controlled to operate according to the operating power and the operating duration.

[0020] In one embodiment, after the step of transmitting the ventilator working instruction to the ventilator so that the ventilator optimizes the environment in the tunnel, the following steps are performed:

[0021] Return to the step of obtaining target environment information in each area in the tunnel;

[0022] The information difference value is compared with a preset information difference value, and it is determined whether the environment in the tunnel meets the target environment requirement based on the comparison result.

[0023] In one embodiment, before the step of comparing the information difference value with a preset information difference value and judging whether the environment in the tunnel meets the target environment requirement according to the comparison result, the following steps are included:

[0024] Acquire a period of the information difference value, and detect whether the information difference value within the period reaches the preset information difference value;

[0025] If so, it is determined that the environment in the tunnel meets the target environment requirements.

[0026] In addition, to achieve the above-mentioned purpose, the present invention also proposes a tunnel environment optimization device, the device comprising:

[0027] An acquisition module is used to acquire target environment information in various areas in the tunnel;

[0028] An analysis module, used to analyze the target environmental information to obtain the environmental warning level of each area in the tunnel;

[0029] A control module, used for generating corresponding ventilator working instructions according to the environmental warning level;

[0030] An execution module is used to transmit the ventilator working instruction to the ventilator, so that the ventilator optimizes the environment in the tunnel.

[0031] In addition, to achieve the above-mentioned purpose, the present invention also proposes a tunnel environment optimization system, the device comprising: a sensor, a processing device, a memory, a processor, and a computer program stored in the memory and executable on the processor, the computer program being configured to implement the steps of the tunnel environment optimization method as described above.

[0032] In addition, to achieve the above-mentioned purpose, the present invention also proposes a storage medium, which is a computer-readable storage medium, and a computer program is stored on the storage medium. When the computer program is executed by a processor, the steps of the tunnel environment optimization method described above are implemented.

[0033] In addition, to achieve the above-mentioned purpose, the present invention also provides a computer program product, which includes a computer program, and when the computer program is executed by a processor, the steps of the tunnel environment optimization method described above are implemented.

[0034] One or more technical solutions proposed in the present invention have at least the following technical effects:

[0035] The present invention obtains target environmental information of each area in the tunnel; analyzes the target environmental information to obtain the environmental warning level of each area in the tunnel; generates corresponding fan working instructions according to the environmental warning level; transmits the fan working instructions to the fan, so that the fan optimizes the environment in the tunnel. Compared with the prior art, the present invention obtains relevant data on the environment in the tunnel to visualize the environmental quality, analyzes the environmental warning level of each section, and dynamically adjusts the power and working time of the fan to optimize the tunnel environment, making the tunnel environment optimization more efficient, environmentally friendly and intelligent. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the invention and, together with the description, serve to explain the principles of the invention.

[0037] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

[0038] Figure 1A schematic diagram of a process flow provided for the first embodiment of the tunnel environment optimization method of the present invention;

[0039] Figure 2 A system structure diagram of the tunnel environment optimization method of the present invention;

[0040] Figure 3 This is a diagram of an air purification device for the tunnel environment optimization method of the present invention;

[0041] Figure 4 This is a schematic diagram of the module structure of a tunnel environment optimization device according to an embodiment of the present invention;

[0042] Figure 5 It is a schematic diagram of the system structure of the hardware operating environment involved in the tunnel environment optimization method in an embodiment of the present invention.

[0043] The purpose, features and advantages of the present invention will be further described with reference to the accompanying drawings in conjunction with the embodiments. DETAILED DESCRIPTION

[0044] It should be understood that the specific embodiments described herein are only used to explain the technical solutions of the present invention and are not used to limit the present invention.

[0045] In order to better understand the technical solution of the present invention, a detailed description will be given below in conjunction with the accompanying drawings and specific implementation methods.

[0046] The main solutions of the embodiments of the present invention are:

[0047] In this embodiment, for the convenience of description, the following description is made by taking the identification tunnel environment optimization system as the execution subject.

[0048] In the existing technology, ventilation is often used to improve the working environment in long tunnels. However, as the tunnel goes deeper, ventilation is affected by length and loss, and ventilation quality cannot be guaranteed, which will cause ventilation time to be extended and environmental quality to be reduced, thus affecting construction quality and efficiency.

[0049] The present invention provides a solution, by acquiring target environmental information of each area in the tunnel; analyzing the target environmental information to obtain the environmental warning level of each area in the tunnel; generating corresponding fan working instructions according to the environmental warning level; transmitting the fan working instructions to the fan, so that the fan optimizes the environment in the tunnel. Compared with the prior art, the present invention obtains relevant data on the environment in the tunnel to visualize the environmental quality, analyzes the environmental warning level of each section, and dynamically adjusts the power and working time of the fan to optimize the tunnel environment, making the tunnel environment optimization more efficient, environmentally friendly and intelligent.

[0050] It should be noted that the execution subject of this embodiment can be a computing service device with data processing, network communication and tunnel environment optimization, such as a tablet computer, a personal computer, a mobile phone, etc., or an electronic device capable of realizing the above functions, etc. The following takes the tunnel environment optimization system as an example to illustrate this embodiment and the following embodiments.

[0051] Based on this, the embodiment of the present invention provides a tunnel environment optimization method, referring to Figure 1 , Figure 1 It is a schematic flow chart of the first embodiment of the tunnel environment optimization method of the present invention.

[0052] In this embodiment, the tunnel environment optimization method includes steps S10 to S40:

[0053] Step S10, obtaining target environment information of each area in the tunnel.

[0054] It should be noted that the above-mentioned areas in the tunnel are the areas in the tunnel that need to be cleaned for environmental optimization;

[0055] It should be noted that the above target environment information includes data such as noise, gas, dust, temperature and step distance.

[0056] It is understandable that in different tunnel environment optimization systems, the various areas in the tunnel and the target environment information are different, and this embodiment does not limit this.

[0057] In the specific implementation, the tunnel is first divided into multiple areas through the positioning base station deployed in the tunnel, and the detection is carried out in each area; then the noise, gas, dust, temperature, step distance and other data of each area in the tunnel are collected in real time through the sensors deployed in the tunnel. Among them, the positioning base station is a device for receiving and transmitting positioning signals, and the specific location of each area in the tunnel is determined by calculating the time difference or signal strength difference between the signals reaching multiple base stations.

[0058] Step S20, analyzing the target environmental information to obtain the environmental warning level of each area in the tunnel.

[0059] It should be noted that the above environmental warning levels can be divided into blue warning: usually indicating that the environmental conditions are good and there is no obvious pollution; yellow warning: it means that environmental indicators begin to exceed the standard and slight pollution has occurred, but it has not yet reached a serious level; orange warning: indicating that environmental problems are already serious, obvious pollution has occurred, and has caused certain impacts on the environment; red warning: indicating that environmental problems are already very serious, serious pollution has occurred, and emergency measures need to be taken immediately to deal with it.

[0060] In the specific implementation, the data collected by the sensor is transmitted to the terminal computer through the wireless bridge module deployed in the tunnel, mainly transmitting detection data, alarm information, positioning data and partition data, etc. The use of bridge transmission data improves the feedback speed of on-site information and improves efficiency; after analyzing and comparing the noise, gas, dust, temperature, step distance and other data of each area in the above-mentioned tunnel, the above-mentioned environmental warning level of each area in the above-mentioned tunnel is obtained.

[0061] Step S30, generating a corresponding ventilator working instruction according to the environmental warning level.

[0062] It should be noted that the above-mentioned ventilator working instructions include gear position instructions and working time instructions.

[0063] It is understandable that different optimization effects can be produced by combining different gear position instructions with different working duration instructions. The gear position instructions and the working duration instructions can be calibrated, and this embodiment does not impose any limitation on this.

[0064] In a specific implementation, when the above-mentioned environmental warning level is a blue warning, the above-mentioned gear command output is 0, and the above-mentioned working time command output is 0; when the above-mentioned environmental warning level is a yellow warning, the above-mentioned gear command output is the first gear, and the above-mentioned working time command output is 30 minutes (the specific duration can be calibrated according to the specific structure of the tunnel, because the length, width and height of tunnels in different tunnel structures are all different); when the above-mentioned environmental warning level is an orange warning, the above-mentioned gear command output is the second gear, and the above-mentioned working time command output is 60 minutes; when the above-mentioned environmental warning level is a red warning, the above-mentioned gear command output is the third gear, and the above-mentioned working time command output is 120 minutes.

[0065] Step S40: transmitting the ventilator working instruction to the ventilator, so that the ventilator optimizes the environment in the tunnel.

[0066] It should be noted that the above-mentioned ventilator can be a movable environmental purification device.

[0067] In the specific implementation, the above-mentioned ventilator working instructions are transmitted to the above-mentioned ventilator or ventilator system, aiming to accurately activate and regulate its operating parameters, thereby ensuring that the above-mentioned ventilator can optimize the environmental conditions inside the tunnel efficiently and orderly. This process not only covers the enhancement of air circulation to effectively dispel the dirty air and potential harmful gases in the tunnel, but also includes the comprehensive adjustment of temperature, humidity and air quality, so as to create a safer, more comfortable and health-compliant tunnel environment. Through such intelligent management, the tunnel ventilation system can operate continuously and stably, reducing the workload of tunnel maintenance personnel and improving the overall operation and maintenance efficiency.

[0068] This embodiment provides a method for optimizing the environment of a tunnel, by acquiring target environment information of each area in the tunnel; analyzing the target environment information to obtain the environmental warning level of each area in the tunnel; generating corresponding fan working instructions according to the environmental warning level; transmitting the fan working instructions to the fan, so that the fan optimizes the environment in the tunnel. Compared with the prior art, the present invention obtains the relevant data of the environment in the tunnel to form a visualization of the environmental quality, analyzes the environmental warning level of each section, and dynamically adjusts the power and working time of the fan to optimize the tunnel environment, making the tunnel environment optimization more efficient, environmentally friendly and intelligent.

[0069] refer to Figure 2 and Figure 3 , Figure 2 This is a system structure diagram of the tunnel environment optimization method of the present invention. Figure 3 A diagram of an air purification device for the tunnel environment optimization method of the present invention.

[0070] In this embodiment, step S20 includes steps S201 to S202:

[0071] Step S201: compare the target environment information with preset target environment information to obtain an information difference.

[0072] It should be noted that the above-mentioned preset target environment information is preset values ​​of data such as noise, gas, dust, temperature and step distance corresponding to each area in the above-mentioned tunnel, such as preset noise value, preset gas value, preset dust value, preset temperature value and preset step distance value;

[0073] It should be noted that the above-mentioned information difference is the difference between the above-mentioned target environment information obtained by the current detection and the above-mentioned preset target environment information. For example, the currently obtained noise value is 100 decibels, and the preset noise value is 50 decibels. Then the noise information difference at this time is the currently obtained noise value minus the preset noise value, that is, 50 decibels.

[0074] It is understandable that in different tunnel environment optimization systems, the above-mentioned target environment information, the above-mentioned preset target environment information and the above-mentioned information difference are all different, and this embodiment does not impose any limitation on this.

[0075] In a specific implementation, the above-mentioned current target environment information is compared and analyzed with the above-mentioned preset target environment information that is preset and stored in the system. The difference between the current environmental status of each area in the above-mentioned tunnel and the desired ideal state can be comprehensively examined, and the information difference between the two can be quantified through mathematical operations or logical judgments. These information differences not only cover the degree of deviation of specific environmental parameters such as sound, temperature, humidity, air quality, light intensity, step distance, etc., but may also involve comparisons of environmental change trends or fluctuation ranges. Through comparative analysis, the gap between the current environmental state and the ideal state can be clearly identified, providing strong data support and decision-making basis for subsequent environmental optimization measures.

[0076] Step S202: determining the environmental warning level of each area in the tunnel according to the information difference.

[0077] In the specific implementation, after obtaining the detailed difference between the above target environmental information and the above preset target environmental information of each area in the above tunnel, the above environmental warning level of each area in the above tunnel is determined through systematic analysis and calculation according to the numerical value of the above information difference and its potential impact on the tunnel environment and personnel safety. This process not only involves a detailed consideration of the degree of deviation of each environmental parameter, but also includes a comprehensive assessment of the deviation duration and change trend. According to the degree to which the difference exceeds the threshold, the warning level is divided into different levels, and each warning level corresponds to the above ventilator working instructions to ensure that actions can be taken quickly and effectively when environmental abnormalities are found, and the environmental conditions in the tunnel are improved and optimized in time, so as to maximize the safe operation of the tunnel and the health and safety of personnel. Through this dynamic evaluation and early warning mechanism, real-time monitoring and precise management of the tunnel environment status can be achieved, and the occurrence of environmental deterioration events can be effectively prevented.

[0078] In this embodiment, the step S30 includes steps S301 to S302:

[0079] Step S301, determining the power and working time of the ventilator according to the environmental warning level.

[0080] In the specific implementation, after the environmental warning level of each area in the tunnel is determined, the power and working time of the ventilator are determined according to the specific situation and the actual needs of the tunnel ventilation system. In the entire implementation process, multiple factors such as the severity of the environmental warning level, the environmental conditions inside and outside the tunnel, the performance characteristics of the ventilator, and the operating cost are fully considered. When the environmental warning level is low, a moderate power is selected and the operation is carried out at a lower working time to maintain the basic air circulation and environmental quality in the tunnel. This can not only meet the basic ventilation needs, but also effectively control the operating costs. With the increase of the environmental warning level, the power of the ventilator will be gradually increased and its working time will be extended to cope with more severe environmental problems. In the case of severe warning or emergency warning, the power and working time of the ventilator will be adjusted to the highest level to ensure that the air quality in the tunnel is rapidly improved and the safe operation of the tunnel and the health and safety of personnel are guaranteed to the greatest extent. At the same time, the power and working time of the ventilator will be dynamically adjusted according to the changes in environmental conditions inside and outside the tunnel, such as temperature, humidity, wind speed, etc., as well as the actual operation effect of the ventilator. This ensures optimal ventilation effects while avoiding unnecessary energy waste and increased operating costs.

[0081] Step S302, generating the corresponding gear position instruction according to the power and generating the corresponding working duration instruction according to the working duration.

[0082] It should be noted that the above power and the above working time can be calibrated, and this embodiment does not limit this.

[0083] In a specific implementation, after the required power and corresponding working time of the above-mentioned ventilator are determined according to the above-mentioned environmental warning level, the corresponding gear instructions and the above-mentioned working time instructions are generated to ensure that the ventilator can operate efficiently and accurately according to the established requirements. For the generation of the above-mentioned gear instructions, the determined power value is compared with the rated power of each gear of the above-mentioned ventilator, and the gear closest to and not exceeding the power value is selected as the target gear. This step fully considers the performance characteristics, energy efficiency and operation stability of the ventilator, aiming to ensure that the ventilator maintains the best operating state while providing sufficient air volume. The gear information is then converted into the specific gear instructions and transmitted to the above-mentioned ventilator to adjust its operating state. For the generation of the above-mentioned working time instructions, according to the determined working time, combined with the actual operation of the above-mentioned ventilator and the environmental conditions inside and outside the tunnel, the key information such as the start time, operation time and downtime of the above-mentioned ventilator is determined, and possible emergencies and emergency measures are also considered to ensure that the ventilation system can maintain stable and reliable operation under any circumstances. The work plan is then converted into the above-mentioned specific working time instructions, which are transmitted to the above-mentioned ventilators to accurately control and manage the above-mentioned ventilators. Through the operation instruction generation process, the above-mentioned ventilators can be accurately controlled and optimized to ensure that they can operate efficiently and accurately according to the established requirements under any of the above-mentioned environmental warning levels, providing strong protection for the safe operation of the tunnel and the health and safety of personnel.

[0084] In this embodiment, step S302 includes steps S3021 to S3023:

[0085] Step S3021, transmitting the gear position instruction to the ventilator to set the working power of the ventilator.

[0086] In a specific implementation, the gear position instruction is transmitted to the ventilator, and key parameters such as the motor speed and current are adjusted according to the gear position instruction, so as to achieve precise setting of the power of the ventilator, and monitor the operating status and power output of the ventilator in real time to ensure that it can maintain stable performance throughout the entire operation process.

[0087] Step S3022, transmitting the working time instruction to the ventilator to set the working time of the ventilator.

[0088] In the specific implementation, when setting the working time, it is necessary to comprehensively consider the current status of the above-mentioned ventilators, historical operating data, and environmental conditions inside and outside the tunnel to ensure that the set time can not only meet the ventilation needs, but also avoid unnecessary energy consumption and wear, and monitor the operating status of the above-mentioned ventilators in real time. Once the preset working time is reached, the shutdown program will be automatically triggered to ensure that the ventilators can stop running on time and safely.

[0089] Step S3023, controlling the operation of the ventilator according to the operating power and the operating duration.

[0090] In the specific implementation, during the entire control process, dynamic adjustments and optimizations are made according to changes in environmental conditions inside and outside the tunnel, such as temperature, humidity, wind speed, etc., as well as the actual operating effects of the above-mentioned ventilators. This can not only ensure the optimization of ventilation effects, but also adapt to ventilation needs under different environmental conditions, providing solid guarantees for the safe operation of the tunnel and the comfort of personnel. Through such precise control and optimized management, comprehensive control of the working status of the ventilator is achieved, ensuring that it can work efficiently and orderly in accordance with established requirements under any environmental warning level. This not only improves the overall efficiency of the tunnel ventilation system, but also reduces operating costs.

[0091] In a feasible implementation manner, step S40 may further include steps S41' to S42':

[0092] Step S41', returns to the step of acquiring target environment information of each area in the tunnel.

[0093] In a specific implementation, after the ventilator has finished working according to the set working power and working time, it is necessary to immediately re-detect whether the environmental conditions in each area of ​​the tunnel have met the target environmental requirements, and thus obtain the target environmental information of each area in the tunnel again.

[0094] Step S42', comparing the information difference value with a preset information difference value, and judging whether the environment in the tunnel meets the target environment requirement according to the comparison result.

[0095] It should be noted that the above-mentioned preset information difference value can be set by the entire tunnel environment optimization system based on intelligent analysis and calculation of historical data, or can be set by the operator himself or calibrated, and this embodiment does not impose any restrictions on this.

[0096] In a specific implementation, the above information difference value is directly compared with the above preset information difference value, and according to the comparison result, it can be determined whether the environment of each area in the above tunnel meets the above target environment requirement.

[0097] In a feasible implementation manner, before step S42', steps S421' to S422' may also be included:

[0098] Step S421', obtaining the period of the information difference value, and detecting whether the information difference value within the period reaches the preset information difference value.

[0099] It should be noted that the above period can be 60S, 120S, etc., and can be calibrated.

[0100] In a specific implementation, the above-mentioned period of the above-mentioned information difference value is obtained, and it is detected whether the above-mentioned information difference value within the above-mentioned period reaches the above-mentioned preset information difference value.

[0101] Step S422': if yes, it is determined that the environment in the tunnel meets the target environment requirement.

[0102] In a specific implementation, if the above information difference reaches the above preset information difference, it is determined that the environment in the above tunnel meets the above target environment requirements. If not, it is necessary to re-optimize the environment of each area in the above tunnel.

[0103] It should be noted that the above examples are only used to understand the present invention and do not constitute a limitation on the tunnel environment optimization method of the present invention. More simple transformations based on this technical concept are all within the protection scope of the present invention.

[0104] The present invention also provides a tunnel environment optimization device, please refer to Figure 4 , the tunnel environment optimization device comprises:

[0105] An acquisition module 10 is used to acquire target environment information in various areas in the tunnel;

[0106] An analysis module 20, configured to analyze the target environment information to obtain an environmental warning level for each area in the tunnel;

[0107] A control module 30, configured to generate a corresponding ventilator operation instruction according to the environmental warning level;

[0108] The execution module 40 is used to transmit the ventilator working instruction to the ventilator, so that the ventilator optimizes the environment in the tunnel.

[0109] The tunnel environment optimization device provided by the present invention adopts the tunnel environment optimization method in the above embodiment to solve the technical problem of tunnel environment optimization. Compared with the prior art, the beneficial effects of the tunnel environment optimization device provided by the present invention are the same as the beneficial effects of the tunnel environment optimization method provided by the above embodiment, and the other technical features in the tunnel environment optimization device are the same as the features disclosed in the above embodiment method, which will not be repeated here.

[0110] The present invention provides a tunnel environment optimization system, which 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 execute the tunnel environment optimization method in the above-mentioned embodiment one.

[0111] Reference below Figure 5 , which shows a schematic diagram of the structure of a tunnel environment optimization system suitable for implementing an embodiment of the present invention. The tunnel environment optimization system in the embodiment of the present invention may include, but is not limited to, mobile terminals such as mobile phones, laptop computers, digital broadcast receivers, PDAs (Personal Digital Assistants), PADs (Portable Application Descriptions), PMPs (Portable Media Players), vehicle-mounted terminals (such as vehicle-mounted navigation terminals), etc., and fixed terminals such as digital TVs, desktop computers, etc. Figure 5 The tunnel environment optimization system shown is only an example and should not bring any limitation to the functions and scope of use of the embodiments of the present invention.

[0112] like Figure 5As shown, the tunnel environment optimization system may include a processing device 1001 (e.g., a central processing unit, a graphics processor, etc.), which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM: Read Only Memory) 1002 or a program loaded from a storage device 1003 to a random access memory (RAM: Random Access Memory) 1004. In RAM1004, various programs and data required for the operation of the tunnel environment optimization system are also stored. The processing device 1001, ROM1002, and RAM1004 are connected to each other via a bus 1005. An input / output (I / O) interface 1006 is also connected to the bus. Generally, the following systems can be connected to the I / O interface 1006: an input device 1007 including, for example, a touch screen, a touch pad, a keyboard, a mouse, an image sensor, a microphone, an accelerometer, a gyroscope, etc.; an output device 1008 including, for example, a liquid crystal display (LCD: Liquid Crystal Display), a speaker, a vibrator, etc.; a storage device 1003 including, for example, a magnetic tape, a hard disk, etc.; and a communication device 1009. The communication device 1009 can allow the tunnel environment optimization system to communicate with other devices wirelessly or by wire to exchange data. Although the figure shows a tunnel environment optimization system with various systems, it should be understood that it is not required to implement or have all the systems shown. More or fewer systems can be implemented or have alternatively.

[0113] In particular, according to the embodiments disclosed in the present invention, the process described above with reference to the flowchart can be implemented as a computer software program. For example, the embodiments disclosed in the present invention include a computer program product, which includes a computer program carried on a computer-readable medium, and the computer program contains program code for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from the network through a communication device, or installed from the storage device 1003, or installed from the ROM 1002. When the computer program is executed by the processing device 1001, the above-mentioned functions defined in the method of the embodiment disclosed in the present invention are executed.

[0114] The tunnel environment optimization system provided by the present invention adopts the tunnel environment optimization method in the above embodiment to solve the technical problem of tunnel environment optimization. Compared with the prior art, the beneficial effects of the tunnel environment optimization system provided by the present invention are the same as the beneficial effects of the tunnel environment optimization method provided by the above embodiment, and other technical features in the tunnel environment optimization system are the same as the features disclosed in the method of the previous embodiment, which will not be repeated here.

[0115] It should be understood that the various parts disclosed in the present invention can be implemented by hardware, software, firmware or a combination thereof. In the description of the above embodiments, specific features, structures, materials or characteristics can be combined in any one or more embodiments or examples in a suitable manner.

[0116] The above is only a specific embodiment of the present invention, but the protection scope of the present invention is not limited thereto. Any person skilled in the art can easily think of changes or substitutions within the technical scope disclosed by the present invention, which should be included in the protection scope of the present invention. Therefore, the protection scope of the present invention should be based on the protection scope of the claims.

[0117] The present invention provides a computer-readable storage medium having computer-readable program instructions (ie, computer programs) stored thereon, wherein the computer-readable program instructions are used to execute the tunnel environment optimization method in the above-mentioned embodiment.

[0118] The computer-readable storage medium provided by the present invention may be, for example, a USB flash drive, but is not limited to electrical, magnetic, optical, electromagnetic, infrared, or semiconductor systems, systems or devices, or any combination thereof. More specific examples of computer-readable storage media may include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination thereof. In this embodiment, the computer-readable storage medium may be any tangible medium containing or storing a program that may be used by or in combination with an instruction execution system, system or device. The program code contained on the computer-readable storage medium may be transmitted using any suitable medium, including but not limited to: wires, optical cables, RF (Radio Frequency), etc., or any suitable combination thereof.

[0119] The above-mentioned computer-readable storage medium may be included in the tunnel environment optimization system; or it may exist independently without being assembled into the tunnel environment optimization system.

[0120] The above-mentioned computer-readable storage medium carries one or more programs. When the above-mentioned one or more programs are executed by the tunnel environment optimization system, the tunnel environment optimization system: obtains target environmental information of each area in the tunnel; analyzes the target environmental information to obtain the environmental warning level of each area in the tunnel; generates corresponding ventilator working instructions according to the environmental warning level; transmits the ventilator working instructions to the ventilator, so that the ventilator optimizes the environment in the tunnel.

[0121] Computer program code for performing the operations of the present invention may be written in one or more programming languages ​​or a combination thereof, including object-oriented programming languages ​​such as Java, Smalltalk, C++, and conventional procedural programming languages ​​such as "C" or similar programming languages. The program code may be executed entirely on the user's computer, partially on the user's computer, as a separate software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., through the Internet using an Internet service provider).

[0122] The flow chart and block diagram in the accompanying drawings illustrate the possible architecture, function and operation of the system, method and computer program product according to various embodiments of the present invention. In this regard, each square box in the flow chart or block diagram can represent a module, a program segment or a part of a code, and the module, the program segment or a part of the code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the square box can also occur in a sequence different from that marked in the accompanying drawings. For example, two square boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each square box in the block diagram and / or flow chart, and the combination of the square boxes in the block diagram and / or flow chart can be implemented with a dedicated hardware-based system that performs the specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0123] The modules involved in the embodiments of the present invention may be implemented by software or hardware, wherein the name of the module does not limit the unit itself in some cases.

[0124] The readable storage medium provided by the present invention is a computer-readable storage medium, which stores computer-readable program instructions (i.e., computer programs) for executing the above-mentioned tunnel environment optimization method, and can solve the technical problem of tunnel environment optimization. Compared with the prior art, the beneficial effects of the computer-readable storage medium provided by the present invention are the same as the beneficial effects of the tunnel environment optimization method provided by the above-mentioned embodiment, and will not be repeated here.

[0125] The present invention also provides a computer program product, comprising a computer program, wherein when the computer program is executed by a processor, the steps of the tunnel environment optimization method as described above are implemented.

[0126] The computer program product provided by the present invention can solve the technical problem of tunnel environment optimization. Compared with the prior art, the beneficial effects of the computer program product provided by the present invention are the same as the beneficial effects of the tunnel environment optimization method provided by the above embodiment, which will not be described in detail here.

[0127] The above descriptions are only some embodiments of the present invention, and are not intended to limit the patent scope of the present invention. All equivalent structural changes made using the contents of the present invention's specification and drawings under the technical concept of the present invention, or directly / indirectly applied in other related technical fields, are included in the patent protection scope of the present invention.

Claims

1. A tunnel environment optimization method, characterized in that: The tunnel environment optimization application is connected to a tunnel environment optimization system, the tunnel environment optimization system is connected to a ventilator, and the tunnel environment optimization method includes: Obtain target environment information in various areas within the tunnel; Analyzing the target environmental information to obtain environmental warning levels of various areas in the tunnel; Generate a corresponding ventilator working instruction according to the environmental warning level; The ventilator operation instruction is transmitted to the ventilator so that the ventilator optimizes the environment in the tunnel.

2. The tunnel environment optimization method according to claim 1, characterized in that: The step of analyzing the target environmental information to obtain the environmental warning level of each area in the tunnel includes: Comparing the target environment information with preset target environment information to obtain an information difference; The environmental warning level of each area in the tunnel is determined according to the information difference.

3. The tunnel environment optimization method according to claim 2, characterized in that: The ventilator working instruction includes a gear position instruction and a working time instruction. The step of generating a corresponding ventilator working instruction according to the environmental warning level includes: Determining the power and working time of the ventilator according to the environmental warning level; The gear position instruction corresponding to the power is generated, and the working duration instruction corresponding to the working duration is generated.

4. The tunnel environment optimization method according to claim 3, characterized in that: The step of transmitting the ventilator working instruction to the ventilator so that the ventilator optimizes the environment in the tunnel comprises: Transmitting the gear position instruction to the ventilator to set the working power of the ventilator; Transmitting the working time instruction to the ventilator to set the working time of the ventilator; The ventilator is controlled to operate according to the operating power and the operating duration.

5. The tunnel environment optimization method according to claim 4, characterized in that: After the step of transmitting the ventilator working instruction to the ventilator so that the ventilator optimizes the environment in the tunnel, the method further comprises: Return to the step of obtaining target environment information in each area in the tunnel; The information difference value is compared with a preset information difference value, and it is determined whether the environment in the tunnel meets the target environment requirement based on the comparison result.

6. The tunnel environment optimization method according to claim 5, characterized in that: Before the step of comparing the information difference value with a preset information difference value and judging whether the environment in the tunnel meets the target environment requirement according to the comparison result, the method includes: Acquire a period of the information difference value, and detect whether the information difference value within the period reaches the preset information difference value; If so, it is determined that the environment in the tunnel meets the target environment requirements.

7. A tunnel environment optimization device, characterized in that: The device comprises: An acquisition module is used to acquire target environment information in various areas in the tunnel; An analysis module, used to analyze the target environmental information to obtain the environmental warning level of each area in the tunnel; A control module, used for generating corresponding ventilator working instructions according to the environmental warning level; An execution module is used to transmit the ventilator working instruction to the ventilator, so that the ventilator optimizes the environment in the tunnel.

8. A tunnel environment optimization system, characterized in that: The device comprises: a sensor, a processing device, a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the computer program is configured to implement the steps of the tunnel environment optimization method according to any one of claims 1 to 6.

9. A storage medium, characterized in that: The storage medium is a computer-readable storage medium, and a computer program is stored on the storage medium. When the computer program is executed by a processor, the steps of the tunnel environment optimization method according to any one of claims 1 to 6 are implemented.

10. A computer program product, characterized in that The computer program product comprises a computer program, and when the computer program is executed by a processor, the steps of the tunnel environment optimization method according to any one of claims 1 to 6 are implemented.

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