Temperature control system in tunnel warm mix asphalt pavement construction and control method thereof

Abstract

The invention discloses a temperature control system in tunnel warm mix asphalt pavement construction and a control method thereof, and relates to the technical field of road construction. Comprising a plurality of infrared radiation heating units which are arranged along the longitudinal direction of a tunnel in a segmented manner, non-contact temperature sensor arrays which are distributed above and inside an asphalt mixture laying area, environment temperature and humidity sensors which are arranged on the inner wall of the tunnel, and a control device. The control device obtains real-time temperature and humidity data through the data acquisition module, processes the real-time temperature and humidity data through a dynamic adjustment algorithm built in the central processing module, and independently adjusts the output power proportion of each infrared radiation heating unit through the heating control module. Through cooperation of the modules, real-time, accurate and zoned automatic control over the temperature of the asphalt mixture in the tunnel in the whole construction process is achieved, and the construction quality and stability are effectively guaranteed.

Description

Technical Field

[0001] This invention belongs to the field of road construction technology, specifically relating to a temperature control system and its control method in the construction of warm-mix asphalt pavement in tunnels. Background Technology

[0002] The construction technology of warm-mix asphalt pavement in tunnels is developing from simple process improvements to intelligent and refined control, which puts forward higher requirements for the accuracy and reliability of temperature monitoring and regulation during construction.

[0003] When existing warm-mix asphalt technology is applied to tunnel construction, its temperature control methods still have significant shortcomings. Common methods such as hot air heating or fuel heating suffer from low thermal efficiency, uneven temperature field distribution, and response lag, making it difficult to achieve a uniform and stable heating effect on the surface layer. In addition, traditional contact temperature measurement methods have limited points of distribution and are easily damaged, failing to comprehensively and in real time reflect the true temperature distribution of the paved area. At the same time, the complex environmental factors such as poor air circulation and high humidity in tunnels further increase the difficulty of temperature control. Existing systems lack effective environmental parameter compensation mechanisms, which can easily lead to excessively rapid temperature loss or localized overheating of the mixture, affecting the final pavement compaction quality and long-term performance.

[0004] To address the aforementioned problems, this invention proposes a temperature control system and its control method for the construction of warm-mix asphalt pavement in tunnels. Summary of the Invention

[0005] To address the shortcomings of existing technologies, this invention provides a temperature control system and its control method for warm-mix asphalt pavement construction in tunnels, solving the problems of inaccurate and uneven temperature control and poor adaptability in the construction of warm-mix asphalt mixtures under special tunnel environments.

[0006] The objective of this invention can be achieved through the following technical solutions: A method for temperature control during the construction of warm-mix asphalt pavement in tunnels, the method comprising: Step 1: The operator inputs construction parameters through the human-machine interface. The construction parameters include at least the asphalt mixture type, paving thickness, and preset optimal temperature threshold. Step 2: Real-time collection of surface temperature, internal temperature, and ambient temperature and humidity data of the asphalt mixture paving area, as well as the tunnel environment. Step 3: Based on the real-time collected ambient humidity data, dynamically correct the preset optimal temperature threshold according to the thermal compensation formula to determine the compensated temperature setpoint. Step four: The central processing module calculates the power output ratio based on the compensated temperature setpoint and the surface temperature, internal temperature, and ambient temperature through a dynamic adjustment algorithm, and generates control commands for each infrared radiation heating unit in combination with temperature feedback compensation. Step 5: The heating control module independently adjusts the output power ratio of multiple infrared radiation heating units arranged in segments along the longitudinal direction of the tunnel according to the control command, so as to achieve temperature control of the asphalt mixture paving area. Step six: Dynamically display all real-time monitoring data, equipment status, and control commands on the human-machine interface, and transmit them to the remote monitoring terminal via the communication network.

[0007] As a further aspect of the present invention, in step two, the surface temperature is acquired by a non-contact temperature sensor array; The internal temperature is collected by armored thermocouples embedded in the pavement layer. The internal temperature of any asphalt mixture paving area is the average of the internal temperatures collected by N armored thermocouples in the asphalt mixture paving area, where N is a preset integer. The ambient temperature and humidity data are collected by sensors that are pre-installed on the inner wall of the tunnel.

[0008] As a further aspect of the present invention, in step three, the thermal compensation formula is: T set_comp =T set +α*(H env -H ref ); Among them, T set_comp T is the compensated temperature setpoint. set The preset optimal temperature threshold is based on the asphalt mixture type, α is the humidity compensation coefficient, and H is the temperature threshold. env For ambient humidity, H ref This is the preset baseline ambient humidity.

[0009] As a further aspect of the present invention, the specific method for calculating the power output ratio through the dynamic adjustment algorithm in step four is as follows: Obtain the compensated temperature setpoint T associated with any asphalt mixture paving area. set_comp ; Obtain the surface temperature T of the asphalt mixture paving area. sur and internal temperature T int ; Using temperature setpoint T set_comp Reduce internal temperature T int This yields the internal temperature deviation; Using temperature setpoint T set_comp Reduce surface temperature T sur The surface temperature deviation is obtained; The average temperature deviation e is obtained by averaging the internal temperature deviation and the surface temperature deviation. The power output proportional fuzzy control formula is adopted: Determine the power output ratio P out ; Among them, K p K d K i These represent the proportional, differential, and integral coefficients, respectively; t represents time, in seconds. If P out >0, increase power output, the increase ratio is P out ; If P out =0, power output remains unchanged; If P out <0, reduce power output by a percentage of P. out ; The current time is taken as the start time of the control operation, and the power output ratio P is used as the starting time. out The infrared radiation heating units in the corresponding asphalt mixture paving area are controlled. Each asphalt mixture paving area corresponds to one infrared radiation heating unit, and the infrared radiation heating units operate at the initial power output preset by the operator.

[0010] As a further aspect of the present invention, the specific method for generating control commands for each infrared radiation heating unit in step four is as follows: With power output ratio P out After adjusting the infrared radiation heating unit, the ambient temperature T is updated in real time. env and average temperature T mix Among them, the average temperature T mix For surface temperature T sur and internal temperature T int The mean; The environmental heat loss compensation formula is adopted: Determine the ambient temperature T env Temperature loss T caused loss ; Where k is the heat loss coefficient; Based on the temperature loss T loss For the power output ratio P out Compensation is performed to obtain the compensated power output ratio P. out_comp , where P out_comp =P out +δ*T loss δ is the preset heat loss compensation coefficient; The compensated power output ratio P out_compThis serves as the control command for each infrared radiation heating unit.

[0011] A temperature control system for tunnel warm-mix asphalt pavement construction, used to implement the method described in any one of the above, wherein the system includes a heating device, a temperature monitoring device, and a control device installed in the tunnel construction environment; The heating device includes several infrared radiation heating units arranged in segments along the longitudinal direction of the tunnel. The temperature monitoring device includes a non-contact temperature sensor array distributed above and inside the asphalt mixture paving area, and an ambient temperature and humidity sensor installed on the inner wall of the tunnel. The control device includes a central processing module, a heating control module, and a data acquisition module; The data acquisition module is connected to the temperature monitoring device and is used to acquire real-time data on the surface temperature and internal temperature of the asphalt mixture, as well as the temperature and humidity of the tunnel environment. The central processing module is used to generate heating control commands based on a preset optimal temperature threshold and surface temperature, internal temperature, and ambient temperature through a dynamic adjustment algorithm. The heating control module is connected to the heating device and is used to independently adjust the output power ratio of each infrared radiation heating unit according to the heating control command.

[0012] As a further embodiment of the present invention, the infrared radiation heating unit includes an adjustable mounting height support frame, an infrared radiation plate mounted on the support frame, and a high-temperature resistant protective cover. The infrared radiation plate faces the asphalt mixture paving surface, and its core heating element is a carbon fiber infrared heating tube or a ceramic infrared radiator. The heating element is equipped with an aluminum alloy reflector, and each heating unit is arranged at intervals of five to fifteen meters along the longitudinal direction of the tunnel.

[0013] As a further aspect of the present invention, the temperature monitoring device includes a non-contact temperature sensor array comprising an infrared thermometer mounted on a movable support and a thermal imager fixed to the top of the tunnel. The mobile support is a motor-driven track-type platform that moves along a guide rail laid longitudinally along the tunnel. The infrared thermometer is mounted on the support via a gimbal with multi-degree-of-freedom rotation function. The thermal imager uses an uncooled micro-caloric detector, and its optical lens has an automatic zoom function, with a field of view covering the width of the entire laying area. The infrared thermometer is a dual-laser aiming type, which adopts the colorimetric temperature measurement principle, and its measurement data is transmitted through a wireless transmission module. The thermal image data collected by the thermal imager is transmitted to the central processing module via a gigabit Ethernet interface, and the temperature distribution information of the entire paved surface is extracted through image processing algorithms.

[0014] As a further embodiment of the present invention, the control device further includes a human-machine interface and a remote monitoring terminal; The human-computer interaction interface includes a display unit and an input unit; The display unit is used to dynamically display the position, status and regional temperature of each heating unit against a simulated tunnel top view background, and is equipped with a trend curve display window; The input unit is used for manually setting and modifying construction and control parameters, and has multi-level password protection. The remote monitoring terminal is connected to the control device via wired or wireless communication, receives temperature data and equipment status information, and sends control commands to the control device. The remote monitoring terminal is equipped with an SMS alarm function, which sends alarm information to a preset mobile phone number when an abnormality occurs.

[0015] As a further aspect of the present invention, the central processing module adopts an industrial-grade programmable logic controller, which internally stores multiple sets of temperature control curves for different asphalt mixture types. The heating control module uses a solid-state relay group as a power switching element and controls the on / off ratio of the infrared radiation heating tube through pulse width modulation. The data acquisition module, central processing module, and heating control module communicate and transmit data via an industrial fieldbus network.

[0016] The beneficial effects of this invention are: This invention utilizes independently arranged infrared radiation heating units segmented along the longitudinal direction of the tunnel, combined with high-temperature resistant protective covers and adjustable supports, to achieve zoned and directional heating of the asphalt mixture paving area. Each unit is independently driven by a control device, and its output high-intensity infrared radiation energy directly penetrates the air and efficiently heats the mixture, effectively avoiding problems such as low thermal efficiency, severe heat loss, and uneven temperature field that exist in methods such as hot air heating. While improving the utilization rate of thermal energy, it also reduces energy consumption and ensures that the temperature of the mixture remains highly uniform throughout the paving width and length, providing crucial temperature consistency assurance for subsequent compaction processes. This invention constructs a multi-source non-contact temperature sensor array consisting of a fixed thermal imager, a mobile infrared thermometer, and pre-embedded armored thermocouples. Combined with environmental temperature and humidity sensors on the tunnel wall, it achieves multi-dimensional, three-dimensional, real-time monitoring of the entire temperature gradient and construction environment of the asphalt mixture from the surface to the interior, and from points to surfaces. This overcomes the shortcomings of traditional single-point contact temperature measurement methods, such as limited measurement points, susceptibility to damage, slow response, and inability to reflect the overall temperature distribution. It provides the control system with extremely rich, accurate, and timely decision-making data, enabling the system to comprehensively perceive subtle changes in the construction status and laying a data foundation for intelligent and precise control. This invention integrates a dynamic adjustment algorithm that combines feedforward compensation and feedback control by embedding a set of data in the central processing module of the control device. This not only enables the setting of a reference temperature according to the type of asphalt mixture, but also dynamically calculates and outputs the optimal output power ratio for each infrared radiation heating unit by comprehensively collecting multiple parameters such as surface and internal temperature difference and ambient temperature and humidity in real time. This invention provides operators with a complete functional platform for centralized display, parameter setting, status monitoring, and remote intervention by integrating a local human-machine interface equipped with an industrial touch screen and a remote monitoring terminal based on wired and wireless communication. This design encapsulates the complex control system into an intuitive and easy-to-operate interface, significantly reducing the operational difficulty and labor intensity for on-site personnel. At the same time, through remote data transmission and monitoring, it achieves seamless communication between the inside and outside of the tunnel, enabling technical management personnel to fully grasp the system status and make decisions without entering the core construction area, thereby improving the convenience, safety, and modernization of construction management. Attached Figure Description

[0017] The invention will now be further described with reference to the accompanying drawings.

[0018] Figure 1 This is a schematic diagram of the system described in this invention; Figure 2 This is a flowchart illustrating the method described in Embodiment 2 of the present invention. Detailed Implementation

[0019] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0020] Example 1 For information on temperature control systems during warm-mix asphalt pavement construction in tunnels, please refer to [link / reference]. Figure 1 This system specifically includes the following: This application relates to a temperature control system for warm-mix asphalt pavement construction in tunnels, including a heating device, a temperature monitoring device, and a control device installed in the tunnel construction environment. The heating device includes multiple infrared radiation heating units arranged in segments along the longitudinal direction of the tunnel, and the temperature monitoring device includes a non-contact temperature sensor array distributed above and inside the asphalt mixture paving area and an ambient temperature and humidity sensor installed on the inner wall of the tunnel.

[0021] The control device includes a central processing module, a heating control module, and a data acquisition module; the data acquisition module is connected to the temperature monitoring device and is used to acquire the surface temperature and internal temperature of the asphalt mixture, as well as the ambient temperature and humidity inside the tunnel in real time.

[0022] The central processing module generates corresponding heating control commands based on a preset optimal temperature threshold and surface temperature, internal temperature, and ambient temperature, combined with a dynamic adjustment algorithm. The heating control module is connected to the heating device and is used to independently adjust the output power ratio of each infrared radiation heating unit according to the heating control commands, so as to achieve temperature control of the asphalt mixture paving area.

[0023] The infrared radiation heating unit uses carbon fiber infrared heating tubes as the core heating element. An aluminum alloy reflector is provided on the outside of the heating tube to improve the heat radiation efficiency. Each heating unit is fixed to the tunnel sidewall by a rigid bracket. Its installation height can be adjusted by a hydraulic lifting mechanism to ensure that the radiation surface and the asphalt mixture pavement layer maintain the optimal heat exchange distance.

[0024] In the temperature monitoring device, the non-contact temperature sensor array consists of multiple sets of high-precision infrared temperature probes, which can perform two-dimensional scanning temperature measurement on the surface of the pavement layer; at the same time, armored thermocouples are pre-embedded inside the pavement layer, and the measuring nodes of the thermocouples are distributed at different depths to obtain temperature data at different depths inside the mixture.

[0025] The ambient temperature and humidity sensor is installed at the tunnel arch to avoid direct radiation from the heating device. It uses a capacitive humidity sensor and a platinum resistance temperature sensor to simultaneously collect ambient temperature and humidity.

[0026] The central processing module in the control device adopts an industrial-grade programmable logic controller, which stores multiple sets of temperature control curves for different types of asphalt mixtures. The dynamic adjustment algorithm is built based on the fuzzy PID control principle. By comparing the deviation between the real-time temperature value and the target temperature threshold, as well as the environmental temperature and humidity compensation, the power adjustment required for each heating unit is calculated.

[0027] The heating control module uses a solid-state relay group as a power switching element and controls the on / off ratio of the infrared radiation heating tube through pulse width modulation, thereby achieving continuous and smooth adjustment of the output power.

[0028] All monitoring data and control commands are transmitted through an industrial fieldbus network to ensure real-time communication and coordinated operation between system components.

[0029] The non-contact temperature sensor array includes an infrared thermometer mounted on a movable support and a thermal imager fixed to the top of the tunnel. The infrared thermometer measures towards the asphalt mixture paving surface, and the thermal imager's field of view covers the width of the entire paving area.

[0030] The mobile support is a motor-driven track-type platform that moves along a guide rail laid longitudinally in the tunnel. The infrared thermometer is mounted on the support via a gimbal. The gimbal has a multi-degree-of-freedom rotation function, which allows the thermometer probe to pitch and rotate horizontally, enabling point measurement or scanning measurement of specific areas of the pavement.

[0031] The thermal imager fixed to the top of the tunnel uses an uncooled micro-thermal detector, and its optical lens has an automatic zoom function, which can adjust the field of view according to the measurement distance.

[0032] The infrared thermometer is a dual-laser aiming type that uses colorimetric temperature measurement principle to effectively reduce the impact of water vapor and dust in the measurement environment on measurement accuracy. Its measurement data is transmitted to the data acquisition module via a wireless transmission module.

[0033] The thermal image data collected by the thermal imager is transmitted to the central processing module via a gigabit Ethernet interface. The image processing algorithm extracts the temperature distribution information of the entire paved surface, including the highest temperature, the lowest temperature and the average temperature value.

[0034] The infrared radiation heating unit includes an adjustable support frame, an infrared radiation plate mounted on the support frame, and a high-temperature resistant protective cover. The radiation surface of the infrared radiation plate faces the asphalt mixture paving surface. Each infrared radiation heating unit is arranged at intervals of five to fifteen meters along the longitudinal direction of the tunnel, with one infrared radiation heating unit corresponding to one asphalt mixture paving area.

[0035] The core component of the infrared radiation plate is a ceramic infrared radiator, whose heating element is a chromium alloy resistance wire embedded in a high-alumina ceramic matrix. The surface of the radiation plate is coated with a high-emissivity far-infrared coating to improve thermal radiation efficiency. The high-temperature resistant protective cover is made of stainless steel perforated plate. The hole design takes into account both heat dissipation requirements and protection level. A heat dissipation air channel is formed between the protective cover and the radiation plate. If necessary, an axial flow fan can be installed for forced air cooling.

[0036] The dynamic adjustment algorithm in the central processing module includes setting an optimal temperature threshold based on the asphalt mixture type, and dynamically calculating the power output ratio of each infrared radiation heating unit based on real-time collected temperature difference between the surface and interior of the asphalt mixture and ambient temperature and humidity data. The dynamic adjustment algorithm is implemented using a hierarchical control structure, with the upper layer being the temperature setting decision layer, which retrieves the corresponding optimal temperature threshold from the database based on the input asphalt mixture type.

[0037] The lower layer is a real-time control layer, which adopts a multivariable feedback control strategy. The difference between the surface temperature and the internal temperature is used as one of the control variables to adjust the power output ratio of the heating unit in the corresponding area.

[0038] Ambient temperature and humidity are introduced into the control system as feedforward compensation variables. When the ambient humidity increases, the algorithm automatically increases the target temperature setpoint to compensate for the heat loss caused by water evaporation. The ambient temperature data is used to correct the heat loss model parameters and perform secondary compensation on the final power output ratio.

[0039] The control device also includes a human-machine interface, which includes a display unit and an input unit. The display unit is used to display the temperature data, environmental data and working status of the heating device at each monitoring point in real time. The input unit is used by the operator to set and modify the asphalt mixture type, paving thickness and optimal temperature threshold.

[0040] The main interface of the display unit uses a simulated tunnel top view as the background, dynamically marking the location number of each infrared radiation heating unit and its real-time working status, and using color changes to reflect whether the temperature of the area is normal; at the same time, there is a trend curve display window, which can simultaneously display the historical temperature change curves of multiple monitoring points.

[0041] The input unit is used to confirm the input of important parameters, including but not limited to asphalt mixture type selection, optimal temperature threshold setting, control cycle duration, alarm limit, etc.

[0042] The interface software has multi-level password protection, and the range of parameters that can be modified by personnel with different operating permissions is different, preventing accidental operation.

[0043] All settings and real-time data are automatically stored in the internal flash memory and can be exported to external storage devices. The stored data is in a common database format, which facilitates later analysis and processing.

[0044] The system also includes a remote monitoring terminal that is communicatively connected to the control device. The remote monitoring terminal receives temperature data and equipment status information sent by the control device via wired or wireless communication and can send control commands to the control device.

[0045] Remote monitoring terminals are typically located in the project command center at the tunnel entrance, and their hardware is based on an industrial computer equipped with a large-size LCD screen.

[0046] The communication connection primarily uses multimode fiber optic cable wired transmission, while also being equipped with a fourth-generation mobile communication technology wireless transmission module as a backup channel to ensure the reliability of data transmission.

[0047] The monitoring software platform is developed based on configuration software and has functional modules such as data acquisition, real-time display, historical data query, alarm management, and report printing.

[0048] The platform can simultaneously monitor the temperature control systems of multiple tunnel working faces, and the monitoring interface can be switched by selecting different tunnel numbers.

[0049] Authorized operators can remotely modify temperature control parameters and start / stop the heating device through this terminal. All remote operation commands will be recorded and require secondary confirmation before execution.

[0050] The system also has an SMS alarm function. When abnormal situations such as temperature exceeding the limit or equipment failure occur, it will automatically send an alarm message to the mobile phone number of the preset operator. The alarm message includes the type of abnormality, the time of occurrence, and the location.

[0051] The workflow of this system begins with system startup and initialization. The central processing module of the control device first obtains construction parameters from the human-machine interface, including the asphalt mixture type, paving thickness, and optimal temperature threshold. Then, it activates all sensing and execution units. The temperature monitoring device immediately starts working. The thermal imager fixed at the top of the tunnel scans the entire paving area and generates a thermal image of the temperature distribution across the entire field. At the same time, the infrared thermometer on the moving support performs fixed-point verification measurements on key areas. The armored thermocouples embedded in the asphalt mixture continuously collect temperature data at different depths. The environmental temperature and humidity sensors set on the inner wall of the tunnel simultaneously transmit environmental parameters to the data acquisition module. All collected data is transmitted in real time to the central processing module via an industrial fieldbus network. This module's built-in dynamic adjustment algorithm processes multi-source data simultaneously. Its core processing steps are as follows: first, it compares the real-time temperature of each monitoring point with the set optimal temperature threshold; second, it calculates the temperature deviation between the surface and interior; third, it performs compensation calculations based on current ambient temperature and humidity data; and finally, it calculates the required power output ratio for the corresponding infrared radiation heating unit based on a fuzzy PID control law. These calculated control commands are then sent to the heating control module. This module precisely controls the output power of the carbon fiber heating tube in the corresponding infrared radiation heating unit by adjusting the pulse width modulation duty cycle of the solid-state relay. Its radiation energy penetrates the air and directly heats the surface of the asphalt mixture. Throughout the construction process, this data acquisition, processing, command generation and power adjustment process forms a closed-loop negative feedback control system, which continuously cycles at a high frequency preset by the operator to ensure that the temperature of the asphalt mixture is always stable within the optimal range. Meanwhile, all real-time data and equipment status are dynamically displayed on the local human-machine interface and transmitted to the remote monitoring terminal via wired or wireless network for remote monitoring by management personnel, and manual intervention can be carried out when necessary. Finally, once the paving and compaction processes are completed, the system shuts down the heating units in sequence and saves all operational data logs for future reference.

[0052] Example 2 Temperature control methods during the construction of warm-mix asphalt pavement in tunnels, such as... Figure 2 As shown, it specifically includes the following: The first step is for the operator to input construction parameters through the human-machine interface. The construction parameters include at least the asphalt mixture type, paving thickness, and preset optimal temperature threshold. The second step is to collect real-time data on the surface temperature, internal temperature, and ambient temperature and humidity of the asphalt mixture paving area. The internal temperature is collected by armored thermocouples embedded in the pavement layer. The internal temperature of any asphalt mixture paving area is the average of the internal temperatures collected by N armored thermocouples in the asphalt mixture paving area, where N is an integer preset by the operator. The ambient temperature and humidity data are collected by sensors that are pre-installed on the inner wall of the tunnel.

[0053] The third step involves dynamically correcting the preset optimal temperature threshold based on real-time collected environmental humidity data using a thermal compensation formula, thereby determining the compensated temperature setpoint. Specifically: The thermal compensation formula is expressed as: T set_comp =T set +α*(H env -H ref ); Among them, the calculated result T set_comp The temperature setpoint after thermal compensation, T set The preset optimal temperature threshold is based on the asphalt mixture type (pre-set by the operator). α is the humidity compensation coefficient, a dimensionless empirical constant determined by the operator through extensive field testing. It reflects the impact of a unit change in humidity on the target temperature. H env The ambient humidity is collected in real time by a temperature and humidity sensor.ref The preset baseline humidity is a reference value set by the operator, which is usually the expected humidity under standard operating conditions.

[0054] The heat compensation formula is designed to eliminate the impact of the high humidity environment inside the tunnel on the cooling rate of the asphalt mixture, achieve intelligent temperature compensation control, and prevent the mixture temperature from falling below the construction requirements due to heat absorption by moisture evaporation.

[0055] The fourth step involves the central processing module calculating the power output ratio based on the compensated temperature setpoint, surface temperature, internal temperature, and ambient temperature using a dynamic adjustment algorithm. This calculation, combined with temperature feedback compensation, generates control commands for each infrared radiation heating unit. Specifically: The step of calculating the power output ratio using a dynamic adjustment algorithm requires, at the outset, obtaining the compensated temperature setpoint T associated with any asphalt mixture paving area. set_comp ; Obtain the surface temperature T of the asphalt mixture paving area. sur and internal temperature T int ; Using temperature setpoint T set_comp Reduce internal temperature T int This yields the internal temperature deviation; Using temperature setpoint T set_comp Reduce surface temperature T sur The surface temperature deviation is obtained; The average temperature deviation e is obtained by averaging the internal temperature deviation and the surface temperature deviation. The power output proportional fuzzy control formula is adopted: Determine the power output ratio P out ; Among them, K p K d K i These represent the proportional, differential, and integral coefficients, respectively; t represents time, in seconds. If the power output ratio P out >0 indicates that the power output needs to be increased, and the increase in power output is P. out ; If the power output ratio P out =0 indicates that the power output needs to be adjusted to remain constant. If the power output ratio P out <0 indicates that the power output needs to be reduced, and the reduction ratio is P. out It should be noted that the power output has an initial value, which is preset by the operator.

[0056] The current time is taken as the start time of the control operation, and the power output ratio P is used as the starting time. out The infrared radiation heating unit in the corresponding asphalt mixture paving area is controlled, wherein each asphalt mixture paving area corresponds to one infrared radiation heating unit.

[0057] It should be noted that when the power output ratio P out Adjusting the infrared radiation heating unit will affect the ambient temperature inside the tunnel, so it is necessary to update the ambient temperature T in real time. env and average temperature T mix Among them, the average temperature T mix The surface temperature T of the asphalt mixture paving area sur and internal temperature T int The mean; Next, the pre-constructed environmental heat loss compensation formula is used. Determine the ambient temperature T env Temperature loss T caused loss Where k is the heat loss coefficient; Based on the temperature loss T loss For the power output ratio P out Compensation is performed to obtain the compensated power output ratio P. out_comp The compensation formula is: P out_comp =P out +δ*T loss δ is the preset heat loss compensation coefficient; By repeating the above steps, the power output ratio P associated with all asphalt mixture paving areas within the tunnel can be determined. out_comp The power output ratio P of each asphalt mixture paving area out_comp This serves as the control command for the corresponding infrared radiation heating unit.

[0058] Fifth, after the heating control module receives the transmitted control command, it independently adjusts the output power ratio of multiple infrared radiation heating units arranged in segments along the longitudinal direction of the tunnel to achieve temperature control of the asphalt mixture paving area. The sixth step is to dynamically display all real-time monitoring data, equipment status, and control commands on the human-machine interface and transmit them to the remote monitoring terminal via the communication network for operators to view.

[0059] All data in the formulas described above are numerical calculations performed with dimensions removed. Furthermore, any content not described in detail in this specification is existing technology known to those skilled in the art.

[0060] The above description is merely an example and illustration of the present invention. Those skilled in the art can make various modifications or additions to the specific embodiments described, or use similar methods to replace them, as long as they do not deviate from the invention or exceed the scope defined in the claims, all of which should fall within the protection scope of the present invention.

[0061] It should be stated that all user data collected in this application was collected with the user's consent and authorization. Furthermore, the uses of user data are legal and compliant, and the use and processing of user data comply with the relevant laws, regulations, and standards of the relevant regions.

Claims

1. A method for temperature control during the construction of warm-mix asphalt pavement in tunnels, characterized in that, The method includes: Step 1: The operator inputs construction parameters through the human-machine interface. The construction parameters include at least the asphalt mixture type, paving thickness, and preset optimal temperature threshold. Step 2: Real-time collection of surface temperature, internal temperature, and ambient temperature and humidity data of the asphalt mixture paving area and the tunnel. Step 3: Based on the real-time collected ambient humidity data, dynamically correct the preset optimal temperature threshold according to the thermal compensation formula to determine the compensated temperature setpoint. Step four: The central processing module calculates the power output ratio based on the compensated temperature setpoint and the surface temperature, internal temperature, and ambient temperature through a dynamic adjustment algorithm, and generates control commands for each infrared radiation heating unit in combination with temperature feedback compensation. Step 5: The heating control module independently adjusts the output power ratio of multiple infrared radiation heating units arranged in segments along the longitudinal direction of the tunnel according to the control command, so as to achieve temperature control of the asphalt mixture paving area. Step six: Dynamically display all real-time monitoring data, equipment status, and control commands on the human-machine interface, and transmit them to the remote monitoring terminal via the communication network.

2. The method according to claim 1, characterized in that, In step two, the surface temperature is collected by a non-contact temperature sensor array; The internal temperature is collected by armored thermocouples embedded in the pavement layer. The internal temperature of any asphalt mixture paving area is the average of the internal temperatures collected by N armored thermocouples in the asphalt mixture paving area, where N is a preset integer. The ambient temperature and humidity data are collected by sensors that are pre-installed on the inner wall of the tunnel.

3. The method according to claim 1, characterized in that, In step three, the thermal compensation formula is: T set_comp =T set +α*(H env -H ref ); Among them, T set_comp T is the compensated temperature setpoint. set The preset optimal temperature threshold is based on the asphalt mixture type, α is the humidity compensation coefficient, and H is the temperature threshold. env For ambient humidity, H ref This is the preset baseline ambient humidity.

4. The method according to claim 3, characterized in that, In step four, the specific method for calculating the power output ratio using the dynamic adjustment algorithm is as follows: Obtain the compensated temperature setpoint T associated with any asphalt mixture paving area. set_comp ; Obtain the surface temperature T of the asphalt mixture paving area. sur and internal temperature T int ; Using temperature setpoint T set_comp Reduce internal temperature T int This yields the internal temperature deviation; Using temperature setpoint T set_comp Reduce surface temperature T sur The surface temperature deviation is obtained; The average temperature deviation e is obtained by averaging the internal temperature deviation and the surface temperature deviation. The power output proportional fuzzy control formula is adopted: Determine the power output ratio P out ; Among them, K p K d K i These represent the proportional, differential, and integral coefficients, respectively; t represents time, in seconds. If P out >0, increase power output, the increase ratio is P out ; If P out =0, power output remains unchanged; If P out <0, reduce power output by a percentage of P. out ; The current time is taken as the start time of the control operation, and the power output ratio P is used as the starting time. out The infrared radiation heating units in the corresponding asphalt mixture paving area are controlled. Each asphalt mixture paving area corresponds to one infrared radiation heating unit, and the infrared radiation heating units operate at the initial power output preset by the operator.

5. The method according to claim 4, characterized in that, In step four, the specific method for generating control commands for each infrared radiation heating unit is as follows: With power output ratio P out After adjusting the infrared radiation heating unit, the ambient temperature T is updated in real time. env and average temperature T mix Among them, the average temperature T mix For surface temperature T sur and internal temperature T int The mean; The environmental heat loss compensation formula is adopted: Determine the ambient temperature T env Temperature loss T caused loss ; Where k is the heat loss coefficient; Based on the temperature loss T loss For the power output ratio P out Compensation is performed to obtain the compensated power output ratio P. out_comp , where P out_comp =P out +δ*T loss δ is the preset heat loss compensation coefficient; The compensated power output ratio P out_comp This serves as the control command for each infrared radiation heating unit.

6. A temperature control system for warm-mix asphalt pavement construction in tunnels, used to implement the method described in any one of claims 1 to 5, characterized in that, The system includes a heating device, a temperature monitoring device, and a control device installed in the tunnel construction environment; The heating device includes several infrared radiation heating units arranged in segments along the longitudinal direction of the tunnel. The temperature monitoring device includes a non-contact temperature sensor array distributed above and inside the asphalt mixture paving area, and an ambient temperature and humidity sensor installed on the inner wall of the tunnel. The control device includes a central processing module, a heating control module, and a data acquisition module; The data acquisition module is connected to the temperature monitoring device and is used to acquire real-time data on the surface temperature and internal temperature of the asphalt mixture, as well as the temperature and humidity of the tunnel environment. The central processing module is used to generate heating control commands based on a preset optimal temperature threshold and surface temperature, internal temperature, and ambient temperature through a dynamic adjustment algorithm. The heating control module is connected to the heating device and is used to independently adjust the output power ratio of each infrared radiation heating unit according to the heating control command.

7. The system according to claim 6, characterized in that, The infrared radiation heating unit includes an adjustable mounting height support frame, an infrared radiation plate mounted on the support frame, and a high-temperature resistant protective cover. The infrared radiation plate faces the asphalt mixture paving surface, and its core heating element is a carbon fiber infrared heating tube or a ceramic infrared radiator. The heating element is equipped with an aluminum alloy reflector, and each heating unit is arranged at intervals of five to fifteen meters along the longitudinal direction of the tunnel.

8. The system according to claim 6, characterized in that, The temperature monitoring device includes a non-contact temperature sensor array comprising an infrared thermometer mounted on a movable support and a thermal imager fixed to the top of the tunnel. The mobile support is a motor-driven track-type platform that moves along a guide rail laid longitudinally along the tunnel. The infrared thermometer is mounted on the support via a gimbal with multi-degree-of-freedom rotation function. The thermal imager uses an uncooled micro-calorimeter detector, and its optical lens has an automatic zoom function, with a field of view covering the width of the entire laying area. The infrared thermometer is a dual-laser aiming type, which adopts the colorimetric temperature measurement principle, and its measurement data is transmitted through a wireless transmission module. The thermal image data collected by the thermal imager is transmitted to the central processing module via a gigabit Ethernet interface, and the temperature distribution information of the entire paved surface is extracted through image processing algorithms.

9. The system according to claim 6, characterized in that, The control device also includes a human-machine interface and a remote monitoring terminal; The human-computer interaction interface includes a display unit and an input unit; The display unit is used to dynamically display the position, status and regional temperature of each heating unit against a simulated tunnel top view background, and is equipped with a trend curve display window; The input unit is used for manually setting and modifying construction and control parameters, and has multi-level password protection. The remote monitoring terminal is connected to the control device via wired or wireless communication, receives temperature data and equipment status information, and sends control commands to the control device. The remote monitoring terminal is equipped with an SMS alarm function, which sends alarm information to a preset mobile phone number when an abnormality occurs.

10. The system according to claim 6, characterized in that, The central processing module uses an industrial-grade programmable logic controller, which internally stores multiple sets of temperature control curves for different types of asphalt mixtures. The heating control module uses a solid-state relay group as a power switching element and controls the on / off ratio of the infrared radiation heating tube through pulse width modulation. The data acquisition module, central processing module, and heating control module communicate and transmit data via an industrial fieldbus network.

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