Tunnel energy consumption control system and method based on Internet of Things

Abstract

The invention discloses a tunnel energy consumption control system and method based on the Internet of Things, and belongs to the technical field of tunnels, and the system comprises a data collection module which is used for collecting tunnel real-time data based on the Internet of Things; the wireless transmission module is used for transmitting the collected tunnel real-time data based on the Internet of Things to the central control terminal based on the Internet of Things communication technology; and the central control terminal is used for processing and analyzing the tunnel real-time data based on the Internet of Things, determining a tunnel analysis result, and performing control management on tunnel energy consumption based on the tunnel analysis result. The system solves the problems that tunnel energy consumption cannot be monitored and controlled in real time, efficient utilization, energy conservation and emission reduction of tunnel energy cannot be achieved, and tunnel operation benefits are low in the prior art. The tunnel energy consumption can be monitored and controlled in real time, efficient utilization, energy conservation and emission reduction of tunnel energy can be achieved, and tunnel operation benefits can be improved.

Description

Technical Field

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

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

[0003] The Chinese patent with publication number CN110219666A discloses a tunnel construction method and a loess tunnel, which relates to the technical field of tunnel construction. The tunnel construction method includes the following steps: judging 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, setting isolation piles between the first tunnel and the second tunnel to prevent the movement load in the first tunnel from causing the soil of the second tunnel to loosen and collapse, thereby facilitating improving construction safety; however, the patent has the following defects: Existing technologies cannot monitor and control tunnel energy consumption in real time, and cannot achieve efficient use of tunnel energy and energy conservation and emission reduction, resulting in low tunnel operation efficiency. Summary of the invention

[0004] 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, realize efficient utilization of tunnel energy and energy conservation and emission reduction, improve the tunnel operation efficiency, and solve the problems raised in the above-mentioned background technology.

[0005] To achieve the above object, the present invention provides the following technical solutions: The tunnel energy consumption control system based on the Internet of Things includes: Data acquisition module, used to collect information about vehicles, temperature, humidity, wind speed, light and carbon dioxide in the tunnel, and determine real-time tunnel data based on the Internet of Things; A wireless transmission module is used to transmit the collected IoT-based tunnel real-time data to the central control terminal based on IoT communication technology; The central control terminal is used to process and analyze real-time tunnel data based on the Internet of Things, determine the tunnel analysis results, and control and manage the tunnel energy consumption based on the tunnel analysis results.

[0006] Furthermore, the data acquisition module includes: A vehicle collection unit is used to monitor and collect vehicle traffic conditions in the tunnel in real time based on sensors arranged in the tunnel, and obtain tunnel vehicle data; A temperature acquisition unit is used to monitor and acquire the temperature conditions in the tunnel in real time based on sensors arranged in the tunnel, and obtain tunnel temperature data; A humidity collection unit is used to monitor and collect the humidity conditions in the tunnel in real time based on sensors arranged in the tunnel, and obtain tunnel humidity data; A wind speed collection unit is used to monitor and collect wind speed conditions in the tunnel in real time based on sensors arranged in the tunnel, and obtain tunnel wind speed data; A light collection unit, used to monitor and collect light conditions in the tunnel in real time based on sensors arranged in the tunnel, and obtain tunnel light data; A carbon dioxide collection unit is used to monitor and collect the carbon dioxide situation in the tunnel in real time based on sensors arranged in the tunnel, and obtain tunnel carbon dioxide data; Among them, based on tunnel vehicle data, tunnel temperature data, tunnel humidity data, tunnel wind speed data, tunnel lighting data and tunnel carbon dioxide data, the real-time tunnel data based on the Internet of Things is determined; Wherein, the central control terminal includes: The data processing module is used to clean, convert, integrate and store the real-time tunnel data based on the Internet of Things, so that the real-time tunnel data can be safely stored in the database; An analysis and control module is used to comprehensively analyze the real-time data of the tunnel, determine the tunnel analysis results, and control and manage the tunnel energy consumption based on the tunnel analysis results; 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, so that the standardized real-time tunnel data based on the Internet of Things is integrated into a unified view, and to verify the integrated real-time tunnel data to determine whether the real-time tunnel data is missing during the integration process. The data integration unit is also used to verify the integrated real-time tunnel data, including: Analyze the number of data to be integrated in the integrated tunnel real-time data to obtain the number of integrated data; Perform a preliminary analysis on the number of integrated data to determine whether the number of integrated data is the same as the total number of tunnel real-time data, and obtain a preliminary analysis and judgment result; When the preliminary analysis results show that the number of integrated data is different from the total number of tunnel real-time data, the tunnel real-time data is missing during the integration process; Perform corresponding matching analysis on the tunnel real-time data and the integrated tunnel real-time data to determine the matching result; Analyze the matching results and the integrated real-time tunnel data to determine the missing information in the data integration; Generate a data integration missing prompt instruction based on the data integration missing information, and provide a data integration missing prompt instruction according to the data integration missing prompt instruction; When the preliminary analysis result shows that the number of integrated data is the same as the total number of tunnel real-time data, further analysis is performed on the integrated tunnel real-time data, and the tunnel real-time data is matched with the integrated tunnel real-time data to obtain a data matching result; According to the data matching result, the tunnel real-time data is used to verify the corresponding integrated tunnel real-time data, and it is determined whether the tunnel real-time data is the same as the corresponding integrated tunnel real-time data to obtain a second analysis and determination result; According to the second analysis and judgment result, when the tunnel real-time data and the corresponding integrated tunnel real-time data are different, performing a difference data analysis on the tunnel real-time data and the corresponding integrated tunnel real-time data to determine different sub-data; Different sub-data in the tunnel real-time data determine the target data, and then the sub-data correction is performed on the integrated tunnel real-time data using the target data.

[0007] Furthermore, the wireless transmission module includes: A wireless transmission unit, used for transmitting real-time tunnel data based on the Internet of Things based on a wireless network; A wireless receiving unit, used for receiving real-time tunnel data based on the Internet of Things based on a wireless network; Among them, based on the 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.

[0008] Furthermore, the data processing module includes: The data cleaning unit is used to clean the real-time tunnel data based on the Internet of Things based on the data cleaning tool, and identify the duplicate values, missing values ​​and abnormal values ​​in the real-time tunnel data based on the Internet of Things; for the identified duplicate values, the duplicate values ​​are deleted and the unique data records are retained; for the identified missing values, the missing values ​​are deleted, or the missing values ​​are filled by a filling method so that the missing values ​​are no longer missing data records; for the identified abnormal values, the abnormal values ​​are deleted, or the abnormal values ​​are replaced by a replacement method to make the abnormal values ​​normal.

[0009] Furthermore, the data processing module further includes: A data conversion unit, used for converting the real-time tunnel data based on the Internet of Things based on a Z-score standardization method, reducing the dimensional difference between the real-time tunnel data based on the Internet of Things, and determining standardized real-time tunnel data based on the Internet of Things; The data storage unit is used to safely store the real-time tunnel data integrated by the data integration unit, so that the integrated real-time tunnel data is stored in the database.

[0010] Furthermore, the analysis control module includes: The standard storage unit is used to store pre-set tunnel standard data, providing a reference for tunnel energy consumption control based on the Internet of Things; A data analysis unit, used to comprehensively analyze the real-time tunnel data based on tunnel standard data and determine the tunnel analysis results; The control and management unit is used to control and manage the tunnel energy consumption based on the tunnel analysis results, and provides a remote monitoring and management interface so that managers can view the energy consumption in the tunnel in real time and adjust and optimize the energy consumption in the tunnel.

[0011] Furthermore, based on the tunnel analysis results, the tunnel energy consumption is controlled and managed, including: According to the tunnel analysis results, the operating status of the lighting, ventilation and drainage equipment in the tunnel is automatically adjusted to optimize the tunnel energy consumption; Among them, when it is detected that there are vehicles passing through the tunnel, the lighting equipment in the tunnel is turned on; when it is detected that there are no vehicles passing through the tunnel, the lighting equipment in the tunnel is turned off.

[0012] Furthermore, the energy consumption of the tunnel is controlled and managed based on the tunnel analysis results, and further includes: When the temperature in the tunnel is higher than the pre-set 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 spray water to cool the tunnel; When the humidity in the tunnel is lower than the preset humidity standard, the drainage equipment in the tunnel is turned on to spray water to increase humidity in 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; When the wind speed in the tunnel is higher than the pre-set wind speed standard, the ventilation equipment in the tunnel will be turned off to protect the tunnel from wind. When the light intensity in the tunnel is lower than the preset light standard, the light brightness of the lighting equipment is adjusted to make the light brightness of the lighting equipment meet the preset light standard. Among them, when the carbon dioxide in the tunnel is higher than the pre-set carbon dioxide standard, the ventilation equipment in the tunnel is turned on to ventilate the tunnel, and the drainage equipment in the tunnel is turned on to spray water to reduce the concentration of suspended particulate matter in the tunnel air.

[0013] Further, when the wireless transmitting unit transmits the tunnel real-time data based on the Internet of Things to the wireless receiving unit, the wireless receiving unit also performs reception feedback for the received tunnel real-time data after receiving the tunnel real-time data based on the Internet of Things, and then the wireless transmitting unit performs real-time data transmission regulation in combination with the reception feedback, including: Analyze the transmission status of the received feedback and obtain the transmission characteristics of the tunnel real-time data that has completed the transmission; According to the transmission characteristics, whether the real-time data of the tunnel has transmission packet loss or not is analyzed, and the transmission judgment result is obtained; When the transmission judgment result is that the completed tunnel real-time data has a transmission packet loss phenomenon, the lost data analysis is performed on the completed tunnel real-time data, and the packet loss characteristics and causes are analyzed in combination with the data transmission link to obtain the packet loss data and data transmission link characteristics; Retrieving transmission parameters for packet loss data, and correcting the transmission parameters in combination with data transmission link characteristics, and then retransmitting the packet loss data based on the corrected transmission parameters; When the transmission judgment result is that the completed tunnel real-time data has no transmission packet loss phenomenon, the data characteristics of the completed tunnel real-time data are analyzed, and the transmission characteristics are matched with the data characteristics and then the transmission record is performed; Acquiring data features of the real-time tunnel data to be transmitted, and obtaining data features of the data to be transmitted; According to the data characteristics of the data to be transmitted, matching is performed in the transmission record according to the data type to obtain the transmission record matching result; Analyze the number of transmission record matching results; When the number of transmission record matching results is unique, the corresponding transmission characteristics in the transmission record matching results are used as target analysis data, and then the sending transmission parameters are parsed according to the target analysis data to obtain the target sending transmission parameters, and at the same time, the data size difference between the data to be transmitted and the completed tunnel real-time data corresponding to the match is compared according to the data characteristics, and the data size difference is used to adjust the target sending transmission parameters to obtain the final sending transmission parameters, so as to send the tunnel real-time data to be transmitted based on the final sending transmission parameters; When the number of transmission record matching results is not unique, data fitting is performed according to the matching relationship between transmission characteristics and data characteristics in the transmission record matching results to obtain the target fitting results, and error analysis is performed in combination with the target fitting results to determine the error correction parameters using the following formula: In the above formula, is the error correction parameter, The number of matching results for the transmission record, For the Transmission characteristic information data, The target fitting result is The fitting information data of the transmission characteristics of the transmission are obtained; then, the target sending transmission parameters are determined according to the data characteristics of the data to be transmitted and the target fitting results, and the target sending transmission parameters are corrected using the error correction parameters to obtain the final sending transmission parameters, so as to send the real-time data of the tunnel to be transmitted based on the final sending transmission parameters.

[0014] The tunnel energy consumption control method based on the Internet of Things includes the following steps: S1: Collecting real-time tunnel data based on the Internet of Things based on sensors, and transmitting the collected real-time tunnel data based on the Internet of Things to a central control terminal based on a wireless network; 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; S3: Conduct a comprehensive analysis of tunnel real-time data based on tunnel standard data to determine tunnel analysis results, control and manage tunnel energy consumption based on the tunnel analysis results to optimize tunnel energy consumption, and provide a remote monitoring and management interface so that managers can view the energy consumption in the tunnel in real time and adjust and optimize the energy consumption in the tunnel.

[0015] Compared with the prior art, the present invention has the following beneficial effects: The present invention collects information about vehicles, temperature, humidity, wind speed, light and carbon dioxide in a 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 a central control terminal based on a wireless network. The real-time tunnel data based on the Internet of Things is processed and analyzed by the central control terminal to determine a tunnel analysis result, and based on the tunnel analysis result, the tunnel energy consumption is controlled and managed to optimize the tunnel energy consumption, and a remote monitoring and management interface is provided to enable management personnel to view the energy consumption in the tunnel in real time, and adjust and optimize the energy consumption in the tunnel, so that the tunnel energy consumption can be monitored and controlled in real time, and efficient use of tunnel energy and energy conservation and emission reduction can be achieved, thereby improving the tunnel operation efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 It is a module block diagram of the tunnel energy consumption control system based on the Internet of Things of the present invention; Figure 2 This is a flow chart of the tunnel energy consumption control method based on the Internet of Things of the present invention. DETAILED DESCRIPTION

[0017] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0018] In order to solve the problem that the existing technology cannot monitor and control the tunnel energy consumption in real time, cannot achieve efficient use of tunnel energy and energy saving and emission reduction, resulting in low tunnel operation efficiency, please refer to Figure 1-Figure 2 , this embodiment provides the following technical solutions: The 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.

[0019] 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 tunnel data based on the Internet of Things; the collected real-time tunnel data based on the Internet of Things is transmitted to the central control terminal through the wireless transmission module; the real-time tunnel data based on the Internet of Things is processed and analyzed by the central control terminal to determine the tunnel analysis results, and the tunnel energy consumption is controlled and managed based on the tunnel analysis results. The tunnel energy consumption can be monitored and controlled in real time, which can achieve efficient use of tunnel energy and energy conservation and emission reduction, and improve the tunnel operation efficiency.

[0020] In this embodiment, the data acquisition module includes: A vehicle collection unit is used to monitor and collect the vehicle traffic conditions in the tunnel in real time based on the vehicle monitoring sensors arranged in the tunnel, and obtain tunnel vehicle data; A temperature collection unit is used to monitor and collect the temperature conditions in the tunnel in real time based on the temperature sensors arranged in the tunnel, and obtain the tunnel temperature data; A humidity collection unit is used to monitor and collect the humidity conditions in the tunnel in real time based on the humidity sensors arranged in the tunnel, and obtain the tunnel humidity data; A wind speed collection unit is used to monitor and collect wind speed conditions in the tunnel in real time based on wind speed sensors arranged in the tunnel, and obtain tunnel wind speed data; A light collection unit, used to monitor and collect light conditions in the tunnel in real time based on light sensors arranged in the tunnel, and obtain tunnel light data; A carbon dioxide collection unit is used to monitor and collect carbon dioxide conditions in the tunnel in real time based on carbon dioxide sensors arranged in the tunnel, and obtain tunnel carbon dioxide data; Among them, real-time tunnel data based on the Internet of Things is determined based on tunnel vehicle data, tunnel temperature data, tunnel humidity data, tunnel wind speed data, tunnel lighting data and tunnel carbon dioxide data.

[0021] In this embodiment, the wireless transmission module includes: A wireless transmission unit, used for transmitting real-time tunnel data based on the Internet of Things based on a wireless network; A wireless receiving unit, used for receiving real-time tunnel data based on the Internet of Things based on a wireless network; Among them, based on the 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.

[0022] In this embodiment, the central control terminal includes a data processing module and an analysis and control module.

[0023] It should be noted that the real-time tunnel data based on the Internet of Things is cleaned, converted, integrated and stored through the data processing module, so that the real-time tunnel data is safely stored in the database; the real-time tunnel data is comprehensively analyzed through the analysis and control module to determine the tunnel analysis results, and the tunnel energy consumption is controlled and managed based on the tunnel analysis results.

[0024] In this embodiment, the data processing module includes: The data cleaning unit is used to clean the real-time tunnel data based on the Internet of Things based on the data cleaning tool, and identify the duplicate values, missing values ​​and abnormal values ​​in the real-time tunnel data based on the Internet of Things; for the identified duplicate values, the duplicate values ​​are deleted and the unique data records are retained; for the identified missing values, the missing values ​​are deleted, or the missing values ​​are filled by a filling method so that the missing values ​​are no longer missing data records; for the identified abnormal values, the abnormal values ​​are deleted, or the abnormal values ​​are replaced by a replacement method so that the abnormal values ​​are normal; A data conversion unit, used for converting the real-time tunnel data based on the Internet of Things based on a Z-score standardization method, reducing the dimensional difference between the real-time tunnel data based on the Internet of Things, and determining standardized real-time tunnel data based on the Internet of Things; A data integration unit is used to integrate the standardized IoT-based tunnel real-time data into a unified view, and verify the integrated tunnel real-time data to determine whether the tunnel real-time data is missing during the integration process; The data storage unit is used to safely store the real-time tunnel data integrated by the data integration unit, so that the integrated real-time tunnel data is stored in the database.

[0025] In this embodiment, the analysis control module includes: The standard storage unit is used to store pre-set tunnel standard data, providing a reference for tunnel energy consumption control based on the Internet of Things; A data analysis unit, used to comprehensively analyze the real-time tunnel data based on tunnel standard data and determine the tunnel analysis results; The control and management unit is used to control and manage the tunnel energy consumption based on the tunnel analysis results, and provides a remote monitoring and management interface so that managers can view the energy consumption in the tunnel in real time and adjust and optimize the energy consumption in the tunnel.

[0026] In this embodiment, tunnel energy consumption is controlled and managed based on the tunnel analysis results, including: According to the tunnel analysis results, the operating status of the lighting, ventilation and drainage equipment in the tunnel is automatically adjusted to optimize the tunnel energy consumption; 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; When the temperature in the tunnel is higher than the pre-set 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 spray water to cool the tunnel; When the humidity in the tunnel is lower than the preset humidity standard, the drainage equipment in the tunnel is turned on to spray water to increase humidity in 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; When the wind speed in the tunnel is higher than the pre-set wind speed standard, the ventilation equipment in the tunnel is turned off to protect the tunnel from wind. When the light intensity in the tunnel is lower than the preset light standard, the light brightness of the lighting equipment is adjusted to make the light brightness of the lighting equipment meet the preset light standard. Among them, when the carbon dioxide in the tunnel is higher than the pre-set carbon dioxide standard, the ventilation equipment in the tunnel is turned on to ventilate the tunnel, and the drainage equipment in the tunnel is turned on to spray water to reduce the concentration of suspended particulate matter in the tunnel air.

[0027] In this embodiment, when the wireless transmitting unit transmits the tunnel real-time data based on the Internet of Things to the wireless receiving unit, the wireless receiving unit also performs reception feedback for the received tunnel real-time data after receiving the tunnel real-time data based on the Internet of Things, and then the wireless transmitting unit performs real-time data transmission regulation in combination with the reception feedback, including: Analyze the transmission status of the received feedback and obtain the transmission characteristics of the tunnel real-time data that has completed the transmission; According to the transmission characteristics, whether the real-time data of the tunnel has transmission packet loss or not is analyzed, and the transmission judgment result is obtained; When the transmission judgment result is that the completed tunnel real-time data has a transmission packet loss phenomenon, the lost data analysis is performed on the completed tunnel real-time data, and the packet loss characteristics and causes are analyzed in combination with the data transmission link to obtain the packet loss data and data transmission link characteristics; Retrieving transmission parameters for packet loss data, and correcting the transmission parameters in combination with data transmission link characteristics, and then retransmitting the packet loss data based on the corrected transmission parameters; When the transmission judgment result is that the completed tunnel real-time data has no transmission packet loss phenomenon, the data characteristics of the completed tunnel real-time data are analyzed, and the transmission characteristics are matched with the data characteristics and then the transmission record is performed; Acquiring data features of the real-time tunnel data to be transmitted, and obtaining data features of the data to be transmitted; According to the data characteristics of the data to be transmitted, matching is performed in the transmission record according to the data type to obtain the transmission record matching result; Analyze the number of transmission record matching results; When the number of transmission record matching results is unique, the corresponding transmission characteristics in the transmission record matching results are used as target analysis data, and then the sending transmission parameters are parsed according to the target analysis data to obtain the target sending transmission parameters, and at the same time, the data size difference between the data to be transmitted and the completed tunnel real-time data corresponding to the match is compared according to the data characteristics, and the data size difference is used to adjust the target sending transmission parameters to obtain the final sending transmission parameters, so as to send the tunnel real-time data to be transmitted based on the final sending transmission parameters; When the number of transmission record matching results is not unique, data fitting is performed according to the matching relationship between transmission characteristics and data characteristics in the transmission record matching results to obtain the target fitting results, and error analysis is performed in combination with the target fitting results to determine the error correction parameters using the following formula: In the above formula, is the error correction parameter, The number of matching results for the transmission record, For the Transmission characteristic information data, The target fitting result is The fitting information data of the transmission characteristics of the transmission are obtained; then, the target sending transmission parameters are determined according to the data characteristics of the data to be transmitted and the target fitting results, and the target sending transmission parameters are corrected using the error correction parameters to obtain the final sending transmission parameters, so as to send the real-time data of the tunnel to be transmitted based on the final sending transmission parameters.

[0028] It should be noted that data characteristics include: data type, data size, etc., and transmission characteristics include: transmission rate, transmission parameters, transmission delay, etc.

[0029] The above technical solution enables the wireless transmission unit to make adaptive adjustments according to the actual transmission situation by receiving feedback, reducing the transmission packet loss phenomenon of tunnel real-time data, improving the efficiency of tunnel real-time data transmission, and thus ensuring the tunnel real-time data transmission effect. By combining the data transmission link to analyze the packet loss characteristics and causes, the degree of adaptation between the data transmission link and the corresponding tunnel real-time data is clarified, so that the transmission success of the packet loss data can be better guaranteed when the packet loss data is transmitted again, and in the case of no transmission packet loss phenomenon, by matching the transmission characteristics with the data characteristics and then recording the transmission, the transmission parameters can be adjusted in combination with the transmission record when the real-time tunnel data to be transmitted is transmitted, so that the real-time tunnel data to be transmitted can be better transmitted under the final transmission parameters, ensuring the transmission effect of the real-time tunnel data to be transmitted, and then providing data support for the central control terminal, so that the central control terminal can better control the tunnel energy consumption, reduce unnecessary time consumption in the tunnel energy consumption control system, and also reduce the error of the tunnel energy consumption control system.

[0030] In this embodiment, the data integration unit verifies the integrated tunnel real-time data, including: Analyze the number of data to be integrated in the integrated tunnel real-time data to obtain the number of integrated data; Perform a preliminary analysis on the number of integrated data to determine whether the number of integrated data is the same as the total number of tunnel real-time data, and obtain a preliminary analysis and judgment result; When the preliminary analysis results show that the number of integrated data is different from the total number of tunnel real-time data, the tunnel real-time data is missing during the integration process; Perform corresponding matching analysis on the tunnel real-time data and the integrated tunnel real-time data to determine the matching result; Analyze the matching results and the integrated real-time tunnel data to determine the missing information in the data integration; Generate a data integration missing prompt instruction based on the data integration missing information, and provide a data integration missing prompt instruction according to the data integration missing prompt instruction; When the preliminary analysis result shows that the number of integrated data is the same as the total number of tunnel real-time data, further analysis is performed on the integrated tunnel real-time data, and the tunnel real-time data is matched with the integrated tunnel real-time data to obtain a data matching result; According to the data matching result, the tunnel real-time data is used to verify the corresponding integrated tunnel real-time data, and it is determined whether the tunnel real-time data is the same as the corresponding integrated tunnel real-time data to obtain a second analysis and determination result; According to the second analysis and judgment result, when the tunnel real-time data and the corresponding integrated tunnel real-time data are different, performing a difference data analysis on the tunnel real-time data and the corresponding integrated tunnel real-time data to determine different sub-data; Different sub-data in the tunnel real-time data determine the target data, and then the sub-data correction is performed on the integrated tunnel real-time data using the target data.

[0031] 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 tunnel real-time data during the integration process and no sub-data correction is required.

[0032] The above technical scheme analyzes the number of data to be integrated in the integrated tunnel real-time data to achieve preliminary analysis and judgment based on the number of data, so that a preliminary understanding of the integration status of the tunnel real-time data can be obtained in a relatively short time. Moreover, when omissions occur in the tunnel real-time data during the integration process, the tunnel real-time data is matched and analyzed with the integrated tunnel real-time data, which provides convenience for determining the missing information of data integration, so that the missing information of data integration can be clearly identified when the data integration missing reminder is performed, and then the omissions in the tunnel real-time data during the integration process can be remedied. At the same time, when the number of integrated data is the same as the total number of tunnel real-time data, further analysis is performed on the integrated tunnel real-time data to avoid the illusion of data integration caused by the number of integrated data being the same as the total number of tunnel real-time data, thereby ensuring the consistency of the tunnel real-time data and the integrated tunnel real-time data, and improving the accuracy of the integrated tunnel real-time data, thereby providing a guarantee for the tunnel analysis results, so that the tunnel energy consumption can be better controlled and managed, and the accuracy of the tunnel energy consumption control system can be improved.

[0033] In order to better demonstrate 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 tunnel energy consumption control system based on the Internet of Things as described above, and includes the following steps: S1: Collecting real-time tunnel data based on the Internet of Things based on sensors, and transmitting the collected real-time tunnel data based on the Internet of Things to a central control terminal based on a wireless network; 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; S3: Conduct a comprehensive analysis of tunnel real-time data based on tunnel standard data to determine tunnel analysis results, control and manage tunnel energy consumption based on the tunnel analysis results to optimize tunnel energy consumption, and provide a remote monitoring and management interface so that managers can view the energy consumption in the tunnel in real time and adjust and optimize the energy consumption in the tunnel.

[0034] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0035] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. The tunnel energy consumption control system based on the Internet of Things is characterized by: include: Data acquisition module, used to collect information about vehicles, temperature, humidity, wind speed, light and carbon dioxide in the tunnel, and determine real-time tunnel data based on the Internet of Things; A wireless transmission module is used to transmit the collected IoT-based tunnel real-time data to the central control terminal based on IoT communication technology; The central control terminal is used to process and analyze the real-time tunnel data based on the Internet of Things, determine the tunnel analysis results, and control and manage the tunnel energy consumption based on the tunnel analysis results; The central control terminal comprises: The data processing module is used to clean, convert, integrate and store the real-time tunnel data based on the Internet of Things, so that the real-time tunnel data can be safely stored 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, so that the standardized real-time tunnel data based on the Internet of Things is integrated into a unified view, and to verify the integrated real-time tunnel data to determine whether the real-time tunnel data is missing during the integration process. The data integration unit is also used to verify the integrated real-time tunnel data, including: Analyze the number of data to be integrated in the integrated tunnel real-time data to obtain the number of integrated data; Perform a preliminary analysis on the number of integrated data to determine whether the number of integrated data is the same as the total number of tunnel real-time data, and obtain a preliminary analysis and judgment result; When the preliminary analysis results show that the number of integrated data is different from the total number of tunnel real-time data, the tunnel real-time data is missing during the integration process; Perform corresponding matching analysis on the tunnel real-time data and the integrated tunnel real-time data to determine the matching result; Analyze the matching results and the integrated real-time tunnel data to determine the missing information in the data integration; Generate a data integration missing prompt instruction based on the data integration missing information, and provide a data integration missing prompt instruction according to the data integration missing prompt instruction; When the preliminary analysis result shows that the number of integrated data is the same as the total number of tunnel real-time data, further analysis is performed on the integrated tunnel real-time data, and the tunnel real-time data is matched with the integrated tunnel real-time data to obtain a data matching result; According to the data matching result, the tunnel real-time data is used to verify the corresponding integrated tunnel real-time data, and it is determined whether the tunnel real-time data is the same as the corresponding integrated tunnel real-time data to obtain a second analysis and determination result; According to the second analysis and judgment result, when the tunnel real-time data and the corresponding integrated tunnel real-time data are different, performing a difference data analysis on the tunnel real-time data and the corresponding integrated tunnel real-time data to determine different sub-data; Different sub-data in the tunnel real-time data determine the target data, and then the sub-data correction is performed on the integrated tunnel real-time data using the target data.

2. The tunnel energy consumption control system based on the Internet of Things as claimed in claim 1, characterized in that: The data acquisition module comprises: A vehicle collection unit is used to monitor and collect vehicle traffic conditions in the tunnel in real time based on sensors arranged in the tunnel, and obtain tunnel vehicle data; A temperature acquisition unit is used to monitor and acquire the temperature conditions in the tunnel in real time based on sensors arranged in the tunnel, and obtain tunnel temperature data; A humidity collection unit is used to monitor and collect the humidity conditions in the tunnel in real time based on sensors arranged in the tunnel, and obtain tunnel humidity data; A wind speed collection unit is used to monitor and collect wind speed conditions in the tunnel in real time based on sensors arranged in the tunnel, and obtain tunnel wind speed data; A light collection unit, used to monitor and collect light conditions in the tunnel in real time based on sensors arranged in the tunnel, and obtain tunnel light data; A carbon dioxide collection unit is used to monitor and collect the carbon dioxide situation in the tunnel in real time based on sensors arranged in the tunnel, and obtain tunnel carbon dioxide data; Among them, based on tunnel vehicle data, tunnel temperature data, tunnel humidity data, tunnel wind speed data, tunnel lighting data and tunnel carbon dioxide data, the real-time tunnel data based on the Internet of Things is determined; Wherein, the central control terminal includes: The analysis and control module is used to conduct a comprehensive analysis of the real-time data of the tunnel, determine the tunnel analysis results, and control and manage the tunnel energy consumption based on the tunnel analysis results.

3. The tunnel energy consumption control system based on the Internet of Things as claimed in claim 2, characterized in that: The wireless transmission module comprises: A wireless transmission unit, used for transmitting real-time tunnel data based on the Internet of Things based on a wireless network; A wireless receiving unit, used for receiving real-time tunnel data based on the Internet of Things based on a wireless network; Among them, based on the 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.

4. The tunnel energy consumption control system based on the Internet of Things as claimed in claim 3 is characterized in that: The data processing module comprises: The data cleaning unit is used to clean the real-time tunnel data based on the Internet of Things based on the data cleaning tool, and identify the duplicate values, missing values ​​and abnormal values ​​in the real-time tunnel data based on the Internet of Things; for the identified duplicate values, the duplicate values ​​are deleted and the unique data records are retained; for the identified missing values, the missing values ​​are deleted, or the missing values ​​are filled by a filling method so that the missing values ​​are no longer missing data records; for the identified abnormal values, the abnormal values ​​are deleted, or the abnormal values ​​are replaced by a replacement method to make the abnormal values ​​normal.

5. The tunnel energy consumption control system based on the Internet of Things as claimed in claim 4, characterized in that: The data processing module further includes: A data conversion unit, used for converting the real-time tunnel data based on the Internet of Things based on a Z-score standardization method, reducing the dimensional difference between the real-time tunnel data based on the Internet of Things, and determining standardized real-time tunnel data based on the Internet of Things; The data storage unit is used to safely store 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 as claimed in claim 5, characterized in that: The analysis control module comprises: The standard storage unit is used to store pre-set tunnel standard data, providing a reference for tunnel energy consumption control based on the Internet of Things; A data analysis unit, used to comprehensively analyze the real-time tunnel data based on tunnel standard data and determine the tunnel analysis results; The control and management unit is used to control and manage the tunnel energy consumption based on the tunnel analysis results, and provides a remote monitoring and management interface so that managers can view the energy consumption in the tunnel in real time and adjust and optimize the energy consumption in the tunnel.

7. The tunnel energy consumption control system based on the Internet of Things as claimed in claim 6, characterized in that: Control and manage tunnel energy consumption based on tunnel analysis results, including: According to the tunnel analysis results, the operating status of the lighting, ventilation and drainage equipment in the tunnel is automatically adjusted to optimize the tunnel energy consumption; Among them, when it is detected that there are vehicles passing through the tunnel, the lighting equipment in the tunnel is turned on; when it is detected that there are no vehicles 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 as claimed in claim 7, characterized in that: Based on the tunnel analysis results, the tunnel energy consumption is controlled and managed, including: When the temperature in the tunnel is higher than the pre-set 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 spray water to cool the tunnel; When the humidity in the tunnel is lower than the preset humidity standard, the drainage equipment in the tunnel is turned on to spray water to increase humidity in 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; When the wind speed in the tunnel is higher than the pre-set wind speed standard, the ventilation equipment in the tunnel will be turned off to protect the tunnel from wind. When the light intensity in the tunnel is lower than the preset light standard, the light brightness of the lighting equipment is adjusted to make the light brightness of the lighting equipment meet the preset light standard. Among them, when the carbon dioxide in the tunnel is higher than the pre-set carbon dioxide standard, the ventilation equipment in the tunnel is turned on to ventilate the tunnel, and the drainage equipment in the tunnel is turned on to spray 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 as claimed in claim 8, characterized in that: When the wireless transmitting unit transmits the tunnel real-time data based on the Internet of Things to the wireless receiving unit, the wireless receiving unit receives the tunnel real-time data based on the Internet of Things and also performs receiving feedback for the received tunnel real-time data. Then, the wireless transmitting unit performs real-time data transmission control in combination with the receiving feedback, including: Analyze the transmission status of the received feedback and obtain the transmission characteristics of the tunnel real-time data that has completed the transmission; According to the transmission characteristics, whether the real-time data of the tunnel has transmission packet loss or not is analyzed, and the transmission judgment result is obtained; When the transmission judgment result is that the completed tunnel real-time data has a transmission packet loss phenomenon, the lost data analysis is performed on the completed tunnel real-time data, and the packet loss characteristics and causes are analyzed in combination with the data transmission link to obtain the packet loss data and data transmission link characteristics; Retrieving transmission parameters for packet loss data, and correcting the transmission parameters in combination with data transmission link characteristics, and then retransmitting the packet loss data based on the corrected transmission parameters; When the transmission judgment result is that the completed tunnel real-time data has no transmission packet loss phenomenon, the data characteristics of the completed tunnel real-time data are analyzed, and the transmission characteristics are matched with the data characteristics and then the transmission record is performed; Acquiring data features of the real-time tunnel data to be transmitted, and obtaining data features of the data to be transmitted; According to the data characteristics of the data to be transmitted, matching is performed in the transmission record according to the data type to obtain the transmission record matching result; Analyze the number of transmission record matching results; When the number of transmission record matching results is unique, the corresponding transmission characteristics in the transmission record matching results are used as target analysis data, and then the sending transmission parameters are parsed according to the target analysis data to obtain the target sending transmission parameters, and at the same time, the data size difference between the data to be transmitted and the completed tunnel real-time data corresponding to the match is compared according to the data characteristics, and the data size difference is used to adjust the target sending transmission parameters to obtain the final sending transmission parameters, so as to send the tunnel real-time data to be transmitted based on the final sending transmission parameters; When the number of transmission record matching results is not unique, data fitting is performed according to the matching relationship between transmission characteristics and data characteristics in the transmission record matching results to obtain the target fitting results, and error analysis is performed in combination with the target fitting results to determine the error correction parameters using the following formula: In the above formula, is the error correction parameter, The number of matching results for the transmission record, For the Transmission characteristic information data, The target fitting result is The fitting information data of the transmission characteristics of the transmission are obtained; then, the target sending transmission parameters are determined according to the data characteristics of the data to be transmitted and the target fitting results, and the target sending transmission parameters are corrected using the error correction parameters to obtain the final sending transmission parameters, so as to send the real-time data of the tunnel to be transmitted based on the final sending transmission parameters.

10. A tunnel energy consumption control method based on the Internet of Things, implemented based on the tunnel energy consumption control system based on the Internet of Things as claimed in claim 9, characterized in that: The steps include: S1: Collecting real-time tunnel data based on the Internet of Things based on sensors, and transmitting the collected real-time tunnel data based on the Internet of Things to a central control terminal based on a wireless network; S2: The central control terminal cleans and converts the real-time tunnel data based on the Internet of Things, determines 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: Conduct a comprehensive analysis of tunnel real-time data based on tunnel standard data to determine tunnel analysis results, control and manage tunnel energy consumption based on the tunnel analysis results to optimize tunnel energy consumption, and provide a remote monitoring and management interface so that managers can view the energy consumption in the tunnel in real time and adjust and optimize the energy consumption in the tunnel.

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