Tunnel Energy Consumption Control System and Method Based on Internet of Things

Abstract

The present invention discloses a tunnel energy consumption control system and method based on the Internet of Things, belonging to the technical field of tunnels. The system includes: a data acquisition module for collecting real-time tunnel data based on the Internet of Things; a wireless transmission module for transmitting the collected real-time tunnel data based on the Internet of Things to a central control terminal through Internet of Things communication technology; and a central control terminal for processing and analyzing the real-time tunnel data based on the Internet of Things, determining a tunnel analysis result, and controlling and managing the tunnel energy consumption based on the tunnel analysis result. The present invention solves the problems that the existing system cannot monitor and control the tunnel energy consumption in real time, cannot achieve the efficient utilization of tunnel energy and energy conservation and emission reduction, resulting in low tunnel operation efficiency. The present invention can monitor and control the tunnel energy consumption in real time, can achieve the efficient utilization of tunnel energy and energy conservation and emission reduction, and can improve the tunnel operation efficiency.

Description

Technical Field

[0001] The present invention relates to the technical field of tunnels, and specifically to a tunnel energy consumption control system and method based on the Internet of Things. Background Art

[0002] As an important transportation facility, the problem of energy consumption in tunnels is becoming increasingly prominent, which not only wastes a large amount of resources, but also has a certain impact on the environment.

[0003] Chinese Patent with Publication No. CN110219666A discloses a tunnel construction method and a loess tunnel, which relate to the technical field of tunnel construction. Among them, the tunnel construction method includes the following steps: determining whether the distance between the first tunnel and the second tunnel is less than 10m; if the distance between the first tunnel and the second tunnel is less than 10m, an isolation pile is set between the first tunnel and the second tunnel, which can prevent the soil loosening and collapse of the second tunnel caused by the moving load in the first tunnel, and thus is beneficial to improving the construction safety; however, this patent has the following defects:

[0004] The existing technology cannot monitor and control the tunnel energy consumption in real time, cannot realize the efficient utilization of tunnel energy and energy conservation and emission reduction, resulting in low tunnel operation efficiency. Summary of the Invention

[0005] The purpose of the present invention is to provide a tunnel energy consumption control system and method based on the Internet of Things, which can monitor and control the tunnel energy consumption in real time, can realize the efficient utilization of tunnel energy and energy conservation and emission reduction, can improve the tunnel operation efficiency, and solve the problems raised in the above background art.

[0006] To achieve the above purpose, the present invention provides the following technical solutions:

[0007] A tunnel energy consumption control system based on the Internet of Things includes:

[0008] A data acquisition module, which is used to collect information on vehicles, temperature, humidity, wind speed, light, and carbon dioxide in the tunnel to determine the real-time data of the tunnel based on the Internet of Things;

[0009] A wireless transmission module, which is used to transmit the real-time data of the tunnel based on the Internet of Things collected to the central control terminal based on the Internet of Things communication technology;

[0010] A central control terminal, which is used to process and analyze the real-time data of the tunnel based on the Internet of Things to determine the tunnel analysis result, and control and manage the tunnel energy consumption based on the tunnel analysis result.

[0011] Further, the data acquisition module includes:

[0012] The vehicle acquisition unit is used to monitor and collect the vehicle passing conditions in the tunnel in real time based on the sensors arranged in the tunnel, and obtain tunnel vehicle data;

[0013] The temperature acquisition unit is used to monitor and collect the temperature conditions in the tunnel in real time based on the sensors arranged in the tunnel, and obtain tunnel temperature data;

[0014] The humidity acquisition unit is used to monitor and collect the humidity conditions in the tunnel in real time based on the sensors arranged in the tunnel, and obtain tunnel humidity data;

[0015] The wind speed acquisition unit is used to monitor and collect the wind speed conditions in the tunnel in real time based on the sensors arranged in the tunnel, and obtain tunnel wind speed data;

[0016] The light acquisition unit is used to monitor and collect the light conditions in the tunnel in real time based on the sensors arranged in the tunnel, and obtain tunnel light data;

[0017] The carbon dioxide acquisition unit is used to monitor and collect the carbon dioxide conditions in the tunnel in real time based on the sensors arranged in the tunnel, and obtain tunnel carbon dioxide data;

[0018] Among them, based on the tunnel vehicle data, tunnel temperature data, tunnel humidity data, tunnel wind speed data, tunnel light data and tunnel carbon dioxide data, the tunnel real-time data based on the Internet of Things is determined;

[0019] Among them, the central control terminal includes:

[0020] The data processing module is used to clean, transform, integrate and store the tunnel real-time data based on the Internet of Things, and securely store the tunnel real-time data in the database;

[0021] The analysis and control module is used to comprehensively analyze the tunnel real-time data, determine the tunnel analysis results, and control and manage the tunnel energy consumption based on the tunnel analysis results;

[0022] The data processing module includes a data integration unit, which is used to integrate the standardized tunnel real-time data based on the Internet of Things, integrate the standardized tunnel real-time data based on the Internet of Things into a unified view, and verify the integrated tunnel real-time data to determine whether there are any omissions in the integrated tunnel real-time data. The data integration unit is also used to verify the integrated tunnel real-time data, including:

[0023] Analyze the number of data for data integration in the integrated tunnel real-time data to obtain the integrated data number;

[0024] Conduct a preliminary analysis on the number of integrated data, determine whether the number of integrated data is the same as the total number of tunnel real-time data, and obtain the preliminary analysis and judgment result;

[0025] When the preliminary analysis and judgment result is that the number of integrated data is not the same as the total number of tunnel real-time data, there are omissions in the integration process of the tunnel real-time data;

[0026] Conduct a corresponding matching analysis on the tunnel real-time data and the integrated tunnel real-time data to determine the matching result;

[0027] Analyze based on the matching result combined with the integrated tunnel real-time data to determine the data integration omission information;

[0028] Generate a data integration omission prompt instruction based on the data integration omission information, and conduct a data integration omission reminder according to the data integration omission prompt instruction;

[0029] When the preliminary analysis and judgment result is that the number of integrated data is the same as the total number of tunnel real-time data, conduct a further analysis on the integrated tunnel real-time data, conduct a corresponding matching of the tunnel real-time data and the integrated tunnel real-time data, and obtain the data matching result;

[0030] Verify the corresponding integrated tunnel real-time data using the tunnel real-time data according to the data matching result, determine whether the tunnel real-time data is the same as the corresponding integrated tunnel real-time data, and obtain the second analysis and judgment result;

[0031] According to the second analysis and judgment result, when the tunnel real-time data is not the same as the corresponding integrated tunnel real-time data, conduct a differential data analysis on the tunnel real-time data and the corresponding integrated tunnel real-time data to determine the different sub-data;

[0032] Determine the target data among the different sub-data in the tunnel real-time data, and then use the target data to correct the sub-data of the integrated tunnel real-time data.

[0033] Furthermore, the wireless transmission module includes:

[0034] A wireless sending unit for sending tunnel real-time data based on the Internet of Things over a wireless network;

[0035] A wireless receiving unit for receiving tunnel real-time data based on the Internet of Things over a wireless network;

[0036] Among them, based on the Internet of Things (IoT) communication technology, a data transmission link is established between the wireless sending unit and the wireless receiving unit. After the data transmission link between the wireless sending unit and the wireless receiving unit is established, the data acquisition module transmits the real-time tunnel data based on the IoT to the wireless sending unit. After the wireless sending unit receives the real-time tunnel data based on the IoT, the wireless sending unit transmits the real-time tunnel data based on the IoT to the wireless receiving unit. After the wireless receiving unit receives the real-time tunnel data based on the IoT, the wireless receiving unit transmits the real-time tunnel data based on the IoT to the central control terminal.

[0037] Further, the data processing module includes:

[0038] The data cleaning unit is used to clean the real-time tunnel data based on the IoT by using a data cleaning tool, and identify duplicate values, missing values, and outliers in the real-time tunnel data based on the IoT; for the identified duplicate values, the duplicate values are deleted, and only unique data records are retained; for the identified missing values, the missing values are deleted, or a filling method is used to fill the missing values so that the missing values no longer lack data records; for the identified outliers, the outliers are deleted, or a replacement method is used to replace the outliers so that the outliers become normal.

[0039] Further, the data processing module further includes:

[0040] The data conversion unit is used to convert the real-time tunnel data based on the IoT by using the Z-score standardization method, reduce the dimensional difference between the real-time tunnel data based on the IoT, and determine the standardized real-time tunnel data based on the IoT;

[0041] The data storage unit is used to securely store the integrated real-time tunnel data by the data integration unit, and store the integrated real-time tunnel data in the database.

[0042] Further, the analysis and control module includes:

[0043] The standard storage unit is used to store the pre-set tunnel standard data, providing a reference basis for the control of tunnel energy consumption based on the IoT;

[0044] The data analysis unit is used to comprehensively analyze the real-time tunnel data based on the tunnel standard data, and determine the tunnel analysis result;

[0045] The control and management unit is used to control and manage the tunnel energy consumption based on the tunnel analysis result, and provide a remote monitoring and management interface, enabling managers to view the energy consumption situation in the tunnel in real time and adjust and optimize the energy consumption situation in the tunnel.

[0046] Furthermore, control and management of tunnel energy consumption are carried out based on the tunnel analysis results, including:

[0047] According to the tunnel analysis results, automatically adjust the operating states of the lighting, ventilation, and drainage equipment in the tunnel to optimize tunnel energy consumption;

[0048] Among them, when it is detected that there is a vehicle passing through the tunnel, turn on the lighting equipment in the tunnel; when it is detected that there is no vehicle passing through the tunnel, turn off the lighting equipment in the tunnel.

[0049] Furthermore, control and management of tunnel energy consumption based on the tunnel analysis results also include:

[0050] Among them, when the temperature in the tunnel is higher than the preset temperature standard, turn on the ventilation equipment in the tunnel to ventilate and cool the tunnel, and turn on the drainage equipment in the tunnel to sprinkle water for cooling the tunnel;

[0051] Among them, when the humidity in the tunnel is lower than the preset humidity standard, turn on the drainage equipment in the tunnel to sprinkle water for humidifying the tunnel; when the humidity in the tunnel is higher than the preset humidity standard, turn on the ventilation equipment in the tunnel to ventilate and dehumidify the tunnel;

[0052] Among them, when the wind speed in the tunnel is higher than the preset wind speed standard, turn off the ventilation equipment in the tunnel to provide wind protection for the tunnel;

[0053] Among them, when the light intensity in the tunnel is lower than the preset light standard, adjust the light brightness of the lighting equipment so that the light brightness of the lighting equipment meets the preset light standard;

[0054] Among them, when the carbon dioxide in the tunnel is higher than the preset carbon dioxide standard, turn on the ventilation equipment in the tunnel to ventilate and exchange air, and turn on the drainage equipment in the tunnel to sprinkle water to reduce the concentration of suspended particulate matter in the tunnel air.

[0055] Furthermore, when the wireless sending unit transmits the real-time tunnel data based on the Internet of Things to the wireless receiving unit, after the wireless receiving unit receives the real-time tunnel data based on the Internet of Things, it also gives a receiving feedback on the received real-time tunnel data, and then the wireless sending unit adjusts the real-time data transmission in combination with the receiving feedback, including:

[0056] Analyze the transmission situation based on the receiving feedback to obtain the transmission characteristics of the real-time tunnel data that has completed transmission;

[0057] According to the transmission characteristics, analyze whether there is a transmission packet loss phenomenon in the completed real-time tunnel data to obtain a transmission judgment result;

[0058] When there is a packet loss phenomenon in the real-time tunnel data with the transmission judgment result being completed, analyze the lost data of the real-time tunnel data that has been completed, and combine the data transmission link to analyze the packet loss characteristics and causes to obtain the packet loss data and the characteristics of the data transmission link;

[0059] Retrieve the sending transmission parameters for the packet loss data, and correct the sending transmission parameters in combination with the characteristics of the data transmission link, and then re-transmit the packet loss data based on the corrected sending transmission parameters;

[0060] When there is no packet loss phenomenon in the real-time tunnel data with the transmission judgment result being completed, analyze the data characteristics of the real-time tunnel data that has completed transmission, match the transmission characteristics with the data characteristics, and then perform a transmission record;

[0061] Obtain the data characteristics of the tunnel real-time data to be transmitted to get the data characteristics of the data to be transmitted;

[0062] Match according to the data type in the transmission record based on the data characteristics of the data to be transmitted to obtain the transmission record matching result;

[0063] Analyze the number of transmission record matching results;

[0064] When the number of transmission record matching results is unique, use the corresponding transmission characteristics in the transmission record matching result as the target analysis data, then parse the sending transmission parameters according to the target analysis data to obtain the target sending transmission parameters. At the same time, compare the data size difference between the data to be transmitted and the corresponding completed real-time tunnel data that matches according to the data characteristics, and adjust the target sending transmission parameters using the data size difference to obtain the final sending transmission parameters, so as to perform sending transmission on the tunnel real-time data to be transmitted based on the final sending transmission parameters;

[0065] When the number of transmission record matching results is not unique, perform data fitting according to the matching relationship between the transmission characteristics and the data characteristics in the transmission record matching results to obtain the target fitting result, and combine the target fitting result to perform error analysis. Determine the error correction parameter through the following formula:

[0066]

[0067] In the above formula, is the error correction parameter, is the number of transmission record matching results, is the th transmission characteristic information data, is the Fitting information data of a transmission feature; then determine the target sending transmission parameters according to the data features of the data to be transmitted in combination with the target fitting result, and correct the target sending transmission parameters by using the error correction parameters to obtain the final sending transmission parameters, so as to send and transmit the real-time tunnel data to be transmitted based on the final sending transmission parameters.

[0068] Tunnel energy consumption control method based on the Internet of Things, including the following steps:

[0069] S1: Collect real-time tunnel data based on the Internet of Things through sensors, and transmit the collected real-time tunnel data based on the Internet of Things to the central control terminal via a wireless network;

[0070] S2: The central control terminal cleans and converts the real-time tunnel data based on the Internet of Things, determines the standardized real-time tunnel data based on the Internet of Things, and integrates and stores the standardized real-time tunnel data based on the Internet of Things, so that the real-time tunnel data is securely stored in the database;

[0071] S3: Conduct comprehensive analysis on the real-time tunnel data based on the tunnel standard data, determine the tunnel analysis result, control and manage the tunnel energy consumption based on the tunnel analysis result, optimize the tunnel energy consumption, and provide a remote monitoring and management interface, so that the management personnel can view the energy consumption situation in the tunnel in real time and adjust and optimize the energy consumption situation in the tunnel.

[0072] Compared with the prior art, the beneficial effects of the present invention are:

[0073] The present invention collects information on vehicles, temperature, humidity, wind speed, light, and carbon dioxide in the tunnel through sensors, determines real-time tunnel data based on the Internet of Things, and transmits the collected real-time tunnel data based on the Internet of Things to the central control terminal via a wireless network. The central control terminal processes and analyzes the real-time tunnel data based on the Internet of Things, determines the tunnel analysis result, and controls and manages the tunnel energy consumption based on the tunnel analysis result, optimizes the tunnel energy consumption, and provides a remote monitoring and management interface, so that the management personnel can view the energy consumption situation in the tunnel in real time and adjust and optimize the energy consumption situation in the tunnel. It can monitor and control the tunnel energy consumption in real time, achieve efficient utilization of tunnel energy and energy conservation and emission reduction, and improve the tunnel operation efficiency. Description of the Drawings

[0074] Figure 1 It is a block diagram of the module of the tunnel energy consumption control system based on the Internet of Things of the present invention;

[0075] Figure 2 It is a flowchart of the tunnel energy consumption control method based on the Internet of Things of the present invention. Detailed Embodiments

[0076] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0077] In order to solve the problems that the existing technology cannot monitor and control the tunnel energy consumption in real time, cannot achieve the efficient utilization and energy conservation and emission reduction of tunnel energy, and results in low tunnel operation efficiency, please refer to Figure 1 - Figure 2 This embodiment provides the following technical solutions:

[0078] A tunnel energy consumption control system based on the Internet of Things includes a data acquisition module, a wireless transmission module and a central control terminal.

[0079] It should be noted that the vehicle, temperature, humidity, wind speed, light and carbon dioxide information in the tunnel are collected through the data acquisition module to determine the real-time data of the tunnel based on the Internet of Things; the real-time data of the tunnel based on the Internet of Things collected is transmitted to the central control terminal through the wireless transmission module; the real-time data of the tunnel based on the Internet of Things is processed and analyzed through the central control terminal to determine the tunnel analysis result, and the tunnel energy consumption is controlled and managed based on the tunnel analysis result, so as to monitor and control the tunnel energy consumption in real time, achieve the efficient utilization and energy conservation and emission reduction of tunnel energy, and improve the tunnel operation efficiency.

[0080] In this embodiment, the data acquisition module includes:

[0081] A vehicle acquisition unit for monitoring and collecting the vehicle passing conditions in the tunnel in real time based on the vehicle monitoring sensors arranged in the tunnel to obtain tunnel vehicle data;

[0082] A temperature acquisition unit for monitoring and collecting the temperature conditions in the tunnel in real time based on the temperature sensors arranged in the tunnel to obtain tunnel temperature data;

[0083] A humidity acquisition unit for monitoring and collecting the humidity conditions in the tunnel in real time based on the humidity sensors arranged in the tunnel to obtain tunnel humidity data;

[0084] A wind speed acquisition unit for monitoring and collecting the wind speed conditions in the tunnel in real time based on the wind speed sensors arranged in the tunnel to obtain tunnel wind speed data;

[0085] A light acquisition unit for monitoring and collecting the light conditions in the tunnel in real time based on the light sensors arranged in the tunnel to obtain tunnel light data;

[0086] A carbon dioxide collection unit is used to monitor and collect the carbon dioxide situation in the tunnel in real time based on carbon dioxide sensors arranged in the tunnel, and obtain tunnel carbon dioxide data;

[0087] Among them, based on tunnel vehicle data, tunnel temperature data, tunnel humidity data, tunnel wind speed data, tunnel light data, and tunnel carbon dioxide data, real-time tunnel data based on the Internet of Things is determined.

[0088] In this embodiment, the wireless transmission module includes:

[0089] A wireless sending unit is used to send real-time tunnel data based on the Internet of Things based on a wireless network;

[0090] A wireless receiving unit is used to receive real-time tunnel data based on the Internet of Things based on a wireless network;

[0091] Among them, based on Internet of Things communication technology, a data transmission link is established between the wireless sending unit and the wireless receiving unit. After the data transmission link between the wireless sending unit and the wireless receiving unit is established, the data acquisition module transmits the collected real-time tunnel data based on the Internet of Things to the wireless sending unit. After the wireless sending unit receives the real-time tunnel data based on the Internet of Things, the wireless sending unit transmits the real-time tunnel data based on the Internet of Things to the wireless receiving unit. After the wireless receiving unit receives the real-time tunnel data based on the Internet of Things, the wireless receiving unit transmits the real-time tunnel data based on the Internet of Things to the central control terminal.

[0092] In this embodiment, the central control terminal includes a data processing module and an analysis and control module.

[0093] It should be noted that the data processing module cleans, transforms, integrates, and stores the real-time tunnel data based on the Internet of Things, so that the real-time tunnel data is securely stored in the database; the analysis and control module comprehensively analyzes the real-time tunnel data to determine the tunnel analysis result, and controls and manages the tunnel energy consumption based on the tunnel analysis result.

[0094] In this embodiment, the data processing module includes:

[0095] A data cleaning unit, which is used to clean the real-time tunnel data based on the Internet of Things by means of a data cleaning tool, and identify duplicate values, missing values and outliers in the real-time tunnel data based on the Internet of Things; for the identified duplicate values, the duplicate values are deleted and only unique data records are retained; for the identified missing values, the missing values are deleted or filled by a filling method to make the missing values no longer lack data records; for the identified outliers, the outliers are deleted or replaced by a replacement method to make the outliers normal;

[0096] A data conversion unit, which is used to convert the real-time tunnel data based on the Internet of Things by means of the Z-score standardization method, reduce the dimensional difference between the real-time tunnel data based on the Internet of Things, and determine the standardized real-time tunnel data based on the Internet of Things;

[0097] A data integration unit, which is used to integrate the standardized real-time tunnel data based on the Internet of Things, integrate the standardized real-time tunnel data based on the Internet of Things into a unified view, and verify the integrated real-time tunnel data to determine whether there are any omissions in the process of integrating the real-time tunnel data;

[0098] A data storage unit, which is used to securely store the real-time tunnel data integrated by the data integration unit, and store the integrated real-time tunnel data in a database.

[0099] In this embodiment, the analysis and control module includes:

[0100] A standard storage unit, which is used to store the preset tunnel standard data and provide a reference basis for the control of tunnel energy consumption based on the Internet of Things;

[0101] A data analysis unit, which is used to comprehensively analyze the real-time tunnel data based on the tunnel standard data and determine the tunnel analysis result;

[0102] A control and management unit, which is used to control and manage the tunnel energy consumption based on the tunnel analysis result, and provide a remote monitoring and management interface, enabling managers to view the energy consumption situation in the tunnel in real time and adjust and optimize the energy consumption situation in the tunnel.

[0103] In this embodiment, controlling and managing the tunnel energy consumption based on the tunnel analysis result includes:

[0104] Automatically adjusting the operating states of the lighting, ventilation and drainage equipment in the tunnel according to the tunnel analysis result to optimize the tunnel energy consumption;

[0105] Among them, when it is detected that there is a vehicle passing through the tunnel, the lighting equipment in the tunnel is turned on; when it is detected that there is no vehicle passing through the tunnel, the lighting equipment in the tunnel is turned off;

[0106] Among them, when the temperature in the tunnel is higher than the preset temperature standard, the ventilation equipment in the tunnel is turned on, and then the tunnel is ventilated and cooled, and the drainage equipment in the tunnel is turned on, and then the tunnel is sprinkled with water to cool down;

[0107] Among them, when the humidity in the tunnel is lower than the preset humidity standard, the drainage equipment in the tunnel is turned on, and then the tunnel is sprinkled with water to increase humidity; when the humidity in the tunnel is higher than the preset humidity standard, the ventilation equipment in the tunnel is turned on, and then the tunnel is ventilated to remove moisture;

[0108] Among them, when the wind speed in the tunnel is higher than the preset wind speed standard, the ventilation equipment in the tunnel is turned off, and then the tunnel is protected against wind;

[0109] Among them, when the illumination intensity in the tunnel is lower than the preset illumination standard, the brightness of the lighting equipment is adjusted so that the brightness of the lighting equipment meets the preset illumination standard;

[0110] Among them, when the carbon dioxide in the tunnel is higher than the preset carbon dioxide standard, the ventilation equipment in the tunnel is turned on, and then the tunnel is ventilated and exchanged, and the drainage equipment in the tunnel is turned on, and then the tunnel is sprinkled with water to reduce the concentration of suspended particles in the tunnel air.

[0111] In this embodiment, when the wireless sending unit transmits the real-time tunnel data based on the Internet of Things to the wireless receiving unit, after receiving the real-time tunnel data based on the Internet of Things, the wireless receiving unit also performs a reception feedback on the received real-time tunnel data, and then the wireless sending unit combines the reception feedback to perform real-time data transmission regulation, including:

[0112] Analyze the transmission situation according to the reception feedback, and obtain the transmission characteristics of the real-time tunnel data that has completed transmission;

[0113] According to the transmission characteristics, analyze whether there is a transmission packet loss phenomenon in the completed real-time tunnel data, and obtain a transmission judgment result;

[0114] When the transmission judgment result is that there is a transmission packet loss phenomenon in the completed real-time tunnel data, perform a loss data analysis on the completed real-time tunnel data, and combine the data transmission link to analyze the packet loss characteristics and reasons, and obtain the lost packet data and the data transmission link characteristics;

[0115] Retrieve the sending transmission parameters for the lost packet data, and correct the sending transmission parameters in combination with the data transmission link characteristics, and then re-transmit the lost packet data based on the corrected sending transmission parameters;

[0116] When there is no packet loss in the real-time tunnel data with the transmission judgment result being completed, analyze the data characteristics of the real-time tunnel data with completed transmission, match the transmission characteristics with the data characteristics, and then perform a transmission record;

[0117] Obtain the data characteristics of the real-time tunnel data to be transmitted to get the data characteristics of the data to be transmitted;

[0118] Match according to the data type in the transmission record based on the data characteristics of the data to be transmitted to obtain the transmission record matching result;

[0119] Analyze the number of transmission record matching results;

[0120] When the number of transmission record matching results is unique, use the corresponding transmission characteristics in the transmission record matching result as the target analysis data, then perform parsing of the sending transmission parameters based on the target analysis data to obtain the target sending transmission parameters. At the same time, compare the data size difference between the data to be transmitted and the corresponding completed real-time tunnel data according to the data characteristics, and adjust the target sending transmission parameters using the data size difference to obtain the final sending transmission parameters, so as to perform sending transmission for the real-time tunnel data to be transmitted based on the final sending transmission parameters;

[0121] When the number of transmission record matching results is not unique, perform data fitting according to the matching relationship between the transmission characteristics and the data characteristics in the transmission record matching result to obtain the target fitting result, and perform error analysis in combination with the target fitting result. Determine the error correction parameter through the following formula:

[0122]

[0123] In the above formula, is the error correction parameter, is the number of transmission record matching results, is the th transmission characteristic information data, is the fitting information data of the th transmission characteristic in the target fitting result; then determine the target sending transmission parameters according to the data characteristics of the data to be transmitted in combination with the target fitting result, correct the target sending transmission parameters using the error correction parameter to obtain the final sending transmission parameters, so as to perform sending transmission for the real-time tunnel data to be transmitted based on the final sending transmission parameters.

[0124] It should be noted that the data characteristics include: data type, data size, etc., and the transmission characteristics include: transmission rate, sending transmission parameters, transmission delay, etc.

[0125] Through receiving feedback, the above technical solution enables the wireless transmission unit to perform adaptive adjustment according to the actual transmission situation, reduces the occurrence of packet loss in tunnel real-time data transmission, improves the transmission efficiency of tunnel real-time data, and thus ensures the transmission effect of tunnel real-time data. By combining the data transmission link to analyze the packet loss characteristics and causes, the adaptation degree between the data transmission link and the corresponding tunnel real-time data is clarified, so that when retransmitting the lost packets, the successful transmission of the lost packets can be better guaranteed. Moreover, when there is no packet loss in transmission, by matching the transmission characteristics with the data characteristics and then making a transmission record, when transmitting the tunnel real-time data to be transmitted, the transmission parameters can be adjusted in combination with the transmission record, so that the tunnel real-time data to be transmitted can be better transmitted under the final transmission parameters, ensuring the transmission effect of the tunnel real-time data to be transmitted, and further providing data support for the central control terminal, enabling the central control terminal to better control the tunnel energy consumption, reducing the unnecessary time consumption in the tunnel energy consumption control system, and at the same time reducing the error of the tunnel energy consumption control system.

[0126] In this embodiment, the data integration unit verifies the integrated tunnel real-time data, including:

[0127] Analyze the number of data for data integration in the integrated tunnel real-time data to obtain the integrated data number;

[0128] Perform a preliminary analysis on the integrated data number to determine whether the integrated data number is the same as the total number of tunnel real-time data, and obtain a preliminary analysis and judgment result;

[0129] When the preliminary analysis and judgment result is that the integrated data number is not the same as the total number of tunnel real-time data, there are omissions in the integration process of the tunnel real-time data;

[0130] Perform corresponding matching analysis on the tunnel real-time data and the integrated tunnel real-time data to determine the matching result;

[0131] Analyze based on the matching result in combination with the integrated tunnel real-time data to determine the data integration omission information;

[0132] Generate a data integration omission prompt instruction based on the data integration omission information, and perform a data integration omission reminder according to the data integration omission prompt instruction;

[0133] When the preliminary analysis and judgment result is that the integrated data number is the same as the total number of tunnel real-time data, further analyze the integrated tunnel real-time data, perform corresponding matching on the tunnel real-time data and the integrated tunnel real-time data, and obtain a data matching result;

[0134] According to the data matching result, use the tunnel real-time data to verify the corresponding integrated tunnel real-time data, determine whether the tunnel real-time data is the same as the corresponding integrated tunnel real-time data, and obtain the second analysis and judgment result;

[0135] According to the second analysis and judgment result, when the tunnel real-time data is different from the corresponding integrated tunnel real-time data, perform differential data analysis on the tunnel real-time data and the corresponding integrated tunnel real-time data to determine different sub-data;

[0136] Determine the target data from the different sub-data in the tunnel real-time data, and then use the target data to correct the sub-data of the integrated tunnel real-time data.

[0137] It should be noted that when the second analysis and judgment result is that the tunnel real-time data is the same as the corresponding integrated tunnel real-time data, there is no omission in the integration process of the tunnel real-time data and no sub-data correction is required.

[0138] The above technical solution makes a preliminary analysis and judgment according to the number of data integrated in the integrated tunnel real-time data, so as to initially understand the integration situation of the tunnel real-time data in a short time. Moreover, when there is an omission in the integration process of the tunnel real-time data, the tunnel real-time data is matched and analyzed with the integrated tunnel real-time data, which provides convenience for determining the data integration omission information, enables the data integration omission information to be clear when reminding of the data integration omission, and then can remedy the omission in the integration process of the tunnel real-time data. At the same time, when the number of integrated data is the same as the total number of tunnel real-time data, further analysis of the integrated tunnel real-time data is carried out to avoid the data integration illusion caused by the same number of integrated data and the total number of tunnel real-time data, ensure the consistency of the tunnel real-time data and the integrated tunnel real-time data, improve the accuracy of the integrated tunnel real-time data, and thus provide a guarantee for the tunnel analysis result, enabling better control and management of the tunnel energy consumption and improving the accuracy of the tunnel energy consumption control system.

[0139] In order to better show the tunnel energy consumption control process based on the Internet of Things, this embodiment now provides a tunnel energy consumption control method based on the Internet of Things, which is implemented based on the above-mentioned tunnel energy consumption control system based on the Internet of Things, and includes the following steps:

[0140] S1: Collect tunnel real-time data based on the Internet of Things based on sensors, and transmit the collected tunnel real-time data based on the Internet of Things to the central control terminal via a wireless network;

[0141] S2: The central control terminal cleans and transforms the real-time tunnel data based on the Internet of Things to determine the standardized real-time tunnel data based on the Internet of Things, and integrates and stores the standardized real-time tunnel data based on the Internet of Things, so that the real-time tunnel data is securely stored in the database;

[0142] S3: Based on the tunnel standard data, comprehensively analyze the real-time tunnel data to determine the tunnel analysis results, and control and manage the tunnel energy consumption based on the tunnel analysis results to optimize the tunnel energy consumption, and provide a remote monitoring and management interface, so that the management personnel can view the energy consumption situation in the tunnel in real time and adjust and optimize the energy consumption situation in the tunnel.

[0143] It should be noted that in this article, relational terms such as first and second are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variant thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements not only includes those elements, but also includes other elements not expressly listed, or also includes elements inherent to such process, method, article or device.

[0144] Although the embodiments of the present invention have been shown and described, for those of ordinary skill in the art, it can be understood that various changes, modifications, substitutions and variations can be made to these embodiments without departing from the principles and spirit of the present invention. The scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. Tunnel energy consumption control system based on the Internet of Things, characterized in that Including: A data acquisition module, which is used to collect information about vehicles, temperature, humidity, wind speed, illumination and carbon dioxide in the tunnel, and determine the real-time tunnel data based on the Internet of Things; A wireless transmission module, which is used to transmit the collected real-time tunnel data based on the Internet of Things to the central control terminal based on the Internet of Things communication technology; Determine the target sending and transmission parameters according to the data characteristics of the data to be transmitted in combination with the target fitting result, and correct the target sending and transmission parameters by using the error correction parameters to obtain the final sending and transmission parameters, so as to send and transmit the real-time tunnel data to be transmitted based on the final sending and transmission parameters; A central control terminal, which is used to process and analyze the real-time tunnel data based on the Internet of Things, determine the tunnel analysis result, and control and manage the tunnel energy consumption based on the tunnel analysis result; The central control terminal includes: A data processing module, which is used to clean, transform, integrate and store the real-time tunnel data based on the Internet of Things, and safely store the real-time tunnel data in the database; The data processing module includes a data integration unit, which is used to integrate the standardized real-time tunnel data based on the Internet of Things, integrate the standardized real-time tunnel data based on the Internet of Things into a unified view, and check the integrated real-time tunnel data to determine whether there are any omissions in the integrated real-time tunnel data. The data integration unit is also used to check the integrated real-time tunnel data, including: Analyze the number of data for data integration in the integrated real-time tunnel data to obtain the integrated data number; Conduct a preliminary analysis on the integrated data number to determine whether the integrated data number is the same as the total number of real-time tunnel data, and obtain the preliminary analysis and judgment result; When the preliminary analysis and judgment result is that the integrated data number is not the same as the total number of real-time tunnel data, there are omissions in the integrated real-time tunnel data; Conduct a corresponding matching analysis on the real-time tunnel data and the integrated real-time tunnel data to determine the matching result; Analyze according to the matching result in combination with the integrated real-time tunnel data to determine the data integration omission information; Generate a data integration omission prompt instruction based on the data integration omission information, and give a reminder of the data integration omission according to the data integration omission prompt instruction; When the preliminary analysis and judgment result is that the integrated data number is the same as the total number of real-time tunnel data, conduct a further analysis on the integrated real-time tunnel data, and conduct a corresponding matching on the real-time tunnel data and the integrated real-time tunnel data to obtain the data matching result; Check the integrated real-time tunnel data corresponding to the real-time tunnel data according to the data matching result to determine whether the real-time tunnel data is the same as the corresponding integrated real-time tunnel data, and obtain the second analysis and judgment result; According to the second analysis and judgment result, when the real-time tunnel data is different from the corresponding integrated real-time tunnel data, conduct a differential data analysis on the real-time tunnel data and the corresponding integrated real-time tunnel data to determine the different sub-data; Determine the target data from the different sub-data in the real-time tunnel data, and then use the target data to correct the sub-data of the integrated real-time tunnel data.

2. The tunnel energy consumption control system based on the Internet of Things according to claim 1, wherein, The data acquisition module includes: A vehicle data acquisition unit, which is used to monitor and collect the vehicle passing conditions in the tunnel in real time based on the sensors arranged in the tunnel, and obtain tunnel vehicle data; A temperature data acquisition unit, which is used to monitor and collect the temperature conditions in the tunnel in real time based on the sensors arranged in the tunnel, and obtain tunnel temperature data; A humidity data acquisition unit, which is used to monitor and collect the humidity conditions in the tunnel in real time based on the sensors arranged in the tunnel, and obtain tunnel humidity data; A wind speed data acquisition unit, which is used to monitor and collect the wind speed conditions in the tunnel in real time based on the sensors arranged in the tunnel, and obtain tunnel wind speed data; A light intensity data acquisition unit, which is used to monitor and collect the light intensity conditions in the tunnel in real time based on the sensors arranged in the tunnel, and obtain tunnel light intensity data; A carbon dioxide data acquisition unit, which is used to monitor and collect the carbon dioxide conditions in the tunnel in real time based on the sensors arranged in the tunnel, and obtain tunnel carbon dioxide data; Among them, based on the tunnel vehicle data, tunnel temperature data, tunnel humidity data, tunnel wind speed data, tunnel light intensity data and tunnel carbon dioxide data, determine the real-time tunnel data based on the Internet of Things; Among them, the central control terminal includes: An analysis and control module, which is used to comprehensively analyze the real-time tunnel data, determine the tunnel analysis result, and control and manage the tunnel energy consumption based on the tunnel analysis result.

3. The tunnel energy consumption control system based on the Internet of Things according to claim 2, wherein The wireless transmission module includes: A wireless sending unit, which is used to send the real-time tunnel data based on the Internet of Things via a wireless network; A wireless receiving unit, which is used to receive the real-time tunnel data based on the Internet of Things via a wireless network; Among them, based on the Internet of Things communication technology, establish a data transmission link between the wireless sending unit and the wireless receiving unit. After the data transmission link between the wireless sending unit and the wireless receiving unit is established, the data acquisition module transmits the collected real-time tunnel data based on the Internet of Things to the wireless sending unit. After the wireless sending unit receives the real-time tunnel data based on the Internet of Things, the wireless sending unit transmits the real-time tunnel data based on the Internet of Things to the wireless receiving unit. After the wireless receiving unit receives the real-time tunnel data based on the Internet of Things, the wireless receiving unit transmits the real-time tunnel data based on the Internet of Things to the central control terminal.

4. The tunnel energy consumption control system based on the Internet of Things according to claim 3, characterized in that, The data processing module includes: A data cleaning unit, which is used to clean the real-time tunnel data based on the Internet of Things using a data cleaning tool, and identify duplicate values, missing values and outliers in the real-time tunnel data based on the Internet of Things; for the identified duplicate values, delete the duplicate values and retain the unique data records; for the identified missing values, delete the missing values or fill the missing values using a filling method to make the missing values no longer lack data records; for the identified outliers, delete the outliers or replace the outliers using a replacement method to make the outliers normal.

5. The tunnel energy consumption control system based on the Internet of Things according to claim 4, characterized in that, The data processing module further includes: A data conversion unit, which is used to convert the real-time tunnel data based on the Internet of Things using the Z-score standardization method, reduce the dimensional difference between the real-time tunnel data based on the Internet of Things, and determine the standardized real-time tunnel data based on the Internet of Things; A data storage unit for securely storing the real-time tunnel data integrated by the data integration unit, so that the integrated real-time tunnel data is stored in the database.

6. The tunnel energy consumption control system based on the Internet of Things according to claim 5, characterized in that, The analysis and control module includes: A standard storage unit for storing preset tunnel standard data, providing a reference basis for tunnel energy consumption control based on the Internet of Things; A data analysis unit for comprehensively analyzing the real-time tunnel data based on the tunnel standard data to determine the tunnel analysis result; A control and management unit for controlling and managing the tunnel energy consumption based on the tunnel analysis result, and providing a remote monitoring and management interface, enabling managers to view the energy consumption situation in the tunnel in real time and adjust and optimize the energy consumption situation in the tunnel.

7. The tunnel energy consumption control system based on the Internet of Things according to claim 6, characterized in that, Controlling and managing the tunnel energy consumption based on the tunnel analysis result includes: Automatically adjusting the operating states of the lighting, ventilation, and drainage equipment in the tunnel according to the tunnel analysis result to optimize the tunnel energy consumption; Among them, when a vehicle is detected passing through the tunnel, the lighting equipment in the tunnel is turned on; when no vehicle is detected passing through the tunnel, the lighting equipment in the tunnel is turned off.

8. The tunnel energy consumption control system based on the Internet of Things according to claim 7, wherein, Controlling and managing the tunnel energy consumption based on the tunnel analysis result also includes: Among them, when the temperature in the tunnel is higher than the preset temperature standard, the ventilation equipment in the tunnel is turned on to ventilate and cool the tunnel, and the drainage equipment in the tunnel is turned on to sprinkle water to cool the tunnel; Among them, when the humidity in the tunnel is lower than the preset humidity standard, the drainage equipment in the tunnel is turned on to sprinkle water to increase the humidity of the tunnel; when the humidity in the tunnel is higher than the preset humidity standard, the ventilation equipment in the tunnel is turned on to ventilate and dehumidify the tunnel; Among them, when the wind speed in the tunnel is higher than the preset wind speed standard, the ventilation equipment in the tunnel is turned off to protect the tunnel from wind; Among them, when the light intensity in the tunnel is lower than the preset light standard, the brightness of the lighting equipment is adjusted so that the brightness of the lighting equipment conforms to the preset light standard; Among them, when the carbon dioxide in the tunnel is higher than the preset carbon dioxide standard, the ventilation equipment in the tunnel is turned on to ventilate and exchange air in the tunnel, and the drainage equipment in the tunnel is turned on to sprinkle water to reduce the concentration of suspended particulate matter in the tunnel air.

9. The tunnel energy consumption control system based on the Internet of Things according to claim 8, characterized in that, When the wireless transmission unit transmits the real-time tunnel data based on the Internet of Things to the wireless reception unit, after receiving the real-time tunnel data based on the Internet of Things, the wireless reception unit also gives a reception feedback for the received real-time tunnel data, and then the wireless transmission unit adjusts the real-time data transmission in combination with the reception feedback, including: Analyzing the transmission situation based on the reception feedback to obtain the transmission characteristics of the real-time tunnel data for which the transmission is completed; Analyzing whether there is a transmission packet loss phenomenon in the real-time tunnel data for which the transmission is completed according to the transmission characteristics to obtain a transmission judgment result; When there is a packet loss phenomenon in the transmission of real-time tunnel data with a transmission judgment result of completion, analyze the lost data of the completed real-time tunnel data, and combine the data transmission link to analyze the packet loss characteristics and causes to obtain the lost packet data and the characteristics of the data transmission link; Retrieve the sending transmission parameters for the lost packet data, correct the sending transmission parameters based on the characteristics of the data transmission link, and then re-transmit the lost packet data based on the corrected sending transmission parameters; When there is no packet loss phenomenon in the transmission of real-time tunnel data with a transmission judgment result of completion, analyze the data characteristics of the real-time tunnel data that has completed transmission, and perform a transmission record after matching the transmission characteristics with the data characteristics; Obtain the data characteristics of the real-time tunnel data to be transmitted to get the data characteristics of the data to be transmitted; Match according to the data type in the transmission record based on the data characteristics of the data to be transmitted to obtain the transmission record matching result; Analyze the number of the transmission record matching results; When the number of the transmission record matching results is unique, use the corresponding transmission characteristics in the transmission record matching result as the target analysis data, then parse the sending transmission parameters according to the target analysis data to obtain the target sending transmission parameters. At the same time, compare the data size difference between the data to be transmitted and the corresponding completed real-time tunnel data that matches the data characteristics, and use the data size difference to adjust the target sending transmission parameters to obtain the final sending transmission parameters, so as to perform the sending transmission for the real-time tunnel data to be transmitted based on the final sending transmission parameters; When the number of the transmission record matching results is not unique, perform data fitting according to the matching relationship between the transmission characteristics and the data characteristics in the transmission record matching results to obtain the target fitting result, and combine the target fitting result to perform error analysis. Determine the error correction parameter through the following formula: In the above formula, is the error correction parameter, is the number of transmission record matching results, is the th transmission feature information data, is the fitting information data of the th transmission feature in the target fitting result.

10. The tunnel energy consumption control method based on the Internet of Things is implemented based on the tunnel energy consumption control system based on the Internet of Things as described in claim 9, and is characterized in that, Including the following steps: S1: Collect real-time tunnel data based on the Internet of Things based on sensors, and transmit the collected real-time tunnel data based on the Internet of Things to the central control terminal via a wireless network; S2: The central control terminal cleans and converts the real-time tunnel data based on the Internet of Things to determine the standardized real-time tunnel data based on the Internet of Things, and integrates and stores the standardized real-time tunnel data based on the Internet of Things, so that the real-time tunnel data is securely stored in the database; S3: Based on the tunnel standard data, comprehensively analyze the real-time tunnel data to determine the tunnel analysis result, control and manage the tunnel energy consumption based on the tunnel analysis result to optimize the tunnel energy consumption, and provide a remote monitoring and management interface for the management personnel to view the energy consumption situation in the tunnel in real time and adjust and optimize the energy consumption situation in the tunnel.

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