Steel slag asphalt mixture construction quality closed loop control method, system and medium

Abstract

The application discloses a kind of steel slag asphalt mixture construction quality closed loop control method, system and medium, belong to engineering monitoring technical field;Including: acquisition steel slag asphalt mixture in mixing link, paving link and compaction link real-time quality parameter, real-time quality parameter at least including steel slag actual dosage, asphalt actual dosage, mixture actual temperature and actual compaction degree;Based on the quality control benchmark and real-time quality parameter of pre-established, obtain initial deviation value, and based on the real-time moisture content of steel slag or the free calcium oxide content of steel slag, the initial deviation value is corrected to obtain the modified deviation value;In response to the modified deviation value exceeds preset threshold, parameter control instruction is generated, and parameter control instruction is sent to corresponding construction equipment actuator to adjust its operating state.

Description

Technical Field

[0001] This invention discloses a closed-loop control method, system, and medium for the construction quality of steel slag asphalt mixture, belonging to the field of engineering quality monitoring technology. Background Technology

[0002] Steel slag, as an industrial byproduct, has significant economic and environmental value in asphalt pavement construction. However, its physicochemical properties are affected by the source of raw materials and processing technology, resulting in large fluctuations in moisture content and unstable free calcium oxide content. This leads to significant differences in its bulk density, water absorption, and volume expansion compared to natural aggregates. Existing quality control methods for asphalt pavement construction are mostly designed for conventional aggregates, using fixed mix proportions and compaction thresholds for deviation judgment. They do not consider the dynamic impact of the unique properties of steel slag on quality parameters, making it difficult to adapt to quality fluctuations caused by batch differences in steel slag during the construction of steel slag asphalt mixtures. Summary of the Invention

[0003] The purpose of this application is to provide a closed-loop control method, system and medium for the construction quality of steel slag asphalt mixture, so as to at least solve the technical problem that the existing quality control methods, due to ignoring the influence of the real-time moisture content or free calcium oxide content of steel slag on the construction quality parameters, result in inaccurate initial deviation judgment and inability to effectively guide equipment control.

[0004] According to one aspect of the present invention, in order to achieve the above-mentioned objective, a closed-loop control method for construction quality of steel slag asphalt mixture is provided, comprising the following steps: Real-time quality parameters of steel slag asphalt mixtures are collected during the mixing, paving and compaction stages. The real-time quality parameters include at least the actual amount of steel slag used, the actual amount of asphalt used, the actual temperature of the mixture and the actual degree of compaction. Based on the preset quality control benchmark and real-time quality parameters, the initial deviation value is obtained, and the initial deviation value is corrected based on the real-time moisture content of the steel slag or the free calcium oxide content of the steel slag to obtain the corrected deviation value. In response to a deviation value exceeding a preset threshold, a parameter adjustment command is generated and sent to the corresponding construction equipment actuator to adjust its operating status.

[0005] Furthermore, the closed-loop control method for construction quality of steel slag asphalt mixtures also includes: The adjusted real-time quality parameters are used as updated inputs to re-execute the steps of obtaining the initial deviation value and making corrections.

[0006] Furthermore, the mixing process includes: The actual moisture content and free calcium oxide content of the steel slag were collected. Based on the preset mix proportion and the actual amount of steel slag and asphalt, the initial deviation value of the mix proportion is obtained; The initial deviation value of the mix proportion is corrected based on the actual moisture content of the steel slag, and the corrected deviation value of the mix proportion is obtained. In response to the mix ratio correction deviation value exceeding the preset mix ratio allowable deviation, a control command is generated to adjust the opening of the feed valve.

[0007] Furthermore, the mixing process also includes: Collect the actual temperature of the mixture; The temperature deviation value is obtained based on the preset temperature range and the actual temperature of the mixture; In response to a temperature deviation exceeding a preset temperature warning threshold, a control command is generated to adjust the power of the heating system. Acquire an image of the mixture at the discharge port; The uniformity coefficient is obtained by extracting particle distribution features from images using a convolutional neural network. In response to a uniformity coefficient falling below a preset uniformity threshold, a control command is generated to extend the mixing time or adjust the stirring speed.

[0008] Furthermore, the paving process includes: Collect actual paving thickness data; The thickness deviation value is obtained based on the actual paving thickness and the preset paving thickness; In response to a thickness deviation value exceeding the preset allowable thickness deviation, a control command is generated to adjust the height of the paver screed. Collect international flatness index data; In response to the international flatness index exceeding the preset flatness qualification threshold, a control command is generated to adjust the vibration frequency.

[0009] Furthermore, the compaction process includes: Collect actual compaction data and the real-time number of compaction passes by the road roller; Obtain compaction location information; The initial deviation value of compaction is obtained based on the actual compaction degree and the preset compaction degree qualification threshold. The initial deviation of compaction degree is corrected based on the real-time number of compaction passes to obtain the corrected deviation of compaction degree. In response to the under-compaction indication of the compaction correction deviation value, control commands are generated to reduce the compaction speed and increase the number of compaction passes; In response to the overpressure indicated by the compaction correction deviation value, a control command is generated to reduce the compaction pressure.

[0010] Furthermore, the compaction process also includes: Based on the compaction location information and the roller's stroke data, the actual number of compaction passes for each paving section is statistically analyzed in real time through trajectory tracking logic to obtain the pass deviation value; In response to a pass deviation value exceeding the allowable range, a prompt instruction is generated to either re-compact the paving section or stop overcompacting.

[0011] Furthermore, it also includes exception handling steps: In response to the real-time quality parameters collected exceeding the preset severe exceedance threshold, an emergency shutdown command is generated and the corresponding construction equipment is suspended. In response to sensor data remaining unchanged or undergoing abnormal changes, a sensor fault is determined, a fault warning is generated, and the system switches to a backup data source or suspends the associated construction process. In response to a network interruption in data transmission, local caching is enabled to store the collected data, which will be automatically synchronized once the network is restored.

[0012] According to one embodiment of the present invention, a closed-loop control system for the construction quality of steel slag asphalt mixture is also provided, comprising: a data acquisition module, used to acquire real-time quality parameters of steel slag asphalt mixture during the mixing, paving and compaction stages, wherein the real-time quality parameters include at least the actual amount of steel slag, the actual amount of asphalt, the actual temperature of the mixture and the actual degree of compaction; a correction module, used to obtain an initial deviation value based on a preset quality control benchmark and the real-time quality parameters, and to correct the initial deviation value based on the real-time moisture content of the steel slag or the free calcium oxide content of the steel slag to obtain a corrected deviation value; and a generation module, used to generate a parameter adjustment command in response to the corrected deviation value exceeding a preset threshold, and to send the parameter adjustment command to the corresponding construction equipment actuator to adjust its operating state.

[0013] According to another aspect of the present invention, a computer-readable storage medium is also provided, the computer-readable storage medium including a stored executable program, wherein, when the executable program is running, it controls the device where the computer-readable storage medium is located to execute the closed-loop control method for construction quality of steel slag asphalt mixture according to various embodiments of the present invention.

[0014] The closed-loop control method, system, and medium for construction quality of steel slag asphalt mixture provided by this invention have the following advantages compared with existing technologies: This application employs the following steps: based on the real-time quality parameters of steel slag asphalt mixture collected at multiple stages, the initial deviation value is corrected based on the real-time moisture content or free calcium oxide content of the steel slag, resulting in a corrected deviation value that better reflects the true state of the steel slag material. This corrected deviation value then triggers equipment control, effectively overcoming the interference of batch fluctuations in steel slag on construction quality control, improving the accuracy of deviation judgment and the pertinence of control commands, significantly enhancing the stability and reliability of steel slag asphalt mixture construction quality. This solves the technical problem in existing quality control methods where the influence of real-time moisture content or free calcium oxide content of steel slag on construction quality parameters is ignored, leading to inaccurate initial deviation judgment and an inability to effectively guide equipment control. Attached Figure Description

[0015] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments recorded in this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0016] Figure 1 This is a flowchart of a closed-loop control method for construction quality of steel slag asphalt mixture according to one embodiment of the present invention; Figure 2 This is a structural block diagram of a closed-loop control system for construction quality of steel slag asphalt mixture according to one embodiment of the present invention. Detailed Implementation

[0017] To enable those skilled in the art to better understand the technical solutions in this application, the technical solutions in the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, not all embodiments. Based on the embodiments in this application, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of this application. It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this invention are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of the invention described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion. For example, a process, method, system, product, or device that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or devices.

[0018] According to an embodiment of the present invention, a method for closed-loop control of construction quality of steel slag asphalt mixture is provided. It should be noted that the steps shown in the flowchart in the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions. Furthermore, although a logical order is shown in the flowchart, in some cases, the steps shown or described may be executed in a different order than that shown here.

[0019] This method embodiment can be executed in an electronic system or similar computing system that includes memory and a processor. Taking operation on a vehicle terminal as an example, the vehicle terminal may include one or more processors (processors may include, but are not limited to, processing systems such as central processing units (CPUs), graphics processing units (GPUs), digital signal processing (DSP) chips, microcontroller units (MCUs), field-programmable gate arrays (FPGAs), neural network processors (NPUs), tensor processors (TPUs), artificial intelligence (AI) type processors, etc.) and memory for storing data. Optionally, the vehicle terminal may also include transmission devices, input / output devices, and display devices for communication functions. Those skilled in the art will understand that the above structural description is illustrative and does not limit the structure of the vehicle terminal. For example, the vehicle terminal may include more or fewer components than described above, or have a different configuration than described above.

[0020] The memory can be used to store computer programs, such as application software programs and modules, like the computer program corresponding to the closed-loop control method for construction quality of steel slag asphalt mixture in this embodiment of the invention. The processor executes various functional applications and data processing by running the computer program stored in the memory, thereby realizing the aforementioned closed-loop control method for construction quality of steel slag asphalt mixture. The memory may include high-speed random access memory, and may also include non-volatile memory, such as one or more magnetic storage systems, flash memory, or other non-volatile solid-state memory. In some instances, the memory may further include memory remotely located relative to the processor, and these remote memories can be connected to a mobile terminal via a network. Examples of such networks include, but are not limited to, the Internet, corporate intranets, local area networks, mobile communication networks, and combinations thereof.

[0021] A transmission system is used to receive or send data via a network. Specific examples of such networks may include wireless networks provided by the mobile terminal's communication provider. In one example, the transmission system includes a Network Interface Controller (NIC), which can connect to other network devices via a base station to communicate with the Internet. In another example, the transmission system may be a Radio Frequency (RF) module used for wireless communication with the Internet.

[0022] Display devices can be, for example, touchscreen liquid crystal displays (LCDs) and touch displays (also referred to as "touchscreens" or "touch displays"). The LCD allows users to interact with the user interface of the mobile terminal. In some embodiments, the mobile terminal has a graphical user interface (GUI), which allows users to interact with the GUI through finger contact and / or gestures on a touch-sensitive surface. Optional human-computer interaction functions include: creating web pages, drawing, word processing, creating electronic documents, playing games, video conferencing, instant messaging, sending and receiving emails, call interfaces, playing digital video, playing digital music, and / or web browsing, etc. Executable instructions for performing the above human-computer interaction functions are configured / stored in one or more processor-executable computer program products or readable storage media.

[0023] Example 1 Figure 1 This is a flowchart of a closed-loop control method for construction quality of steel slag asphalt mixture according to one embodiment of the present invention, such as... Figure 1 As shown, the method includes the following steps: Step S110: Collect real-time quality parameters of the steel slag asphalt mixture during the mixing, paving, and compaction stages. These real-time quality parameters must include at least the actual amount of steel slag used, the actual amount of asphalt used, the actual temperature of the mixture, and the actual degree of compaction. The specific steps are as follows: In step S110, the basic data required for subsequent deviation calculation and correction are obtained, including real-time quality parameters such as actual steel slag usage, actual asphalt usage, actual mixture temperature, and actual compaction degree.

[0024] During the mixing process, weighing sensors are installed at each material inlet of the mixing plant to continuously collect the actual amount of steel slag and asphalt used in each batch of the mixture at a preset sampling frequency. Simultaneously, thermocouple temperature sensors are deployed inside the mixing silo to monitor the actual temperature of the mixture in real time. The analog signals collected by these sensors are amplified and filtered by a signal conditioning circuit, then converted into digital signals by an analog-to-digital converter, and uploaded to the industrial control computer in a structured data format consisting of parameter name, acquisition time, value, and equipment number.

[0025] During the paving process, a non-contact distance sensor is installed behind the paver's screed to monitor the actual thickness of the paved layer in real time. Additionally, an array of temperature sensors is positioned at different lateral locations on the paver to acquire the lateral temperature distribution of the mixture across the paving width, and the average value of this distribution is used as a supplementary verification value for the actual temperature of the mixture. The data collection frequency is consistent with that during the mixing process, and the GPS coordinates corresponding to the current paving position are simultaneously recorded for subsequent location correlation analysis.

[0026] During the compaction process, a nucleus-free density gauge is installed inside the steel drum of the road roller to continuously scan and collect real-time data on the actual compaction degree of the road surface. Simultaneously, the number of compaction passes and compaction location information are acquired through the roller's own speed sensor and GPS positioning module. To improve the reliability of single-point data, multiple measurements are taken at the same detection location, and the arithmetic mean is calculated to eliminate random errors.

[0027] After real-time quality parameter acquisition is completed in each of the above steps, all data is aggregated to the central processing unit via on-site industrial Ethernet or wireless communication network. After data cleaning and timestamp alignment, a unified input dataset is formed for subsequent deviation value calculation steps.

[0028] Step S120: Based on the preset quality control benchmark and real-time quality parameters, the initial deviation value is obtained, and the initial deviation value is corrected based on the real-time moisture content of the steel slag or the free calcium oxide content of the steel slag to obtain the corrected deviation value. The specific steps are as follows: In step S120, after the real-time quality parameters are collected, the step of obtaining the initial deviation value based on the preset quality control benchmark and the real-time quality parameters is performed, and the initial deviation value is further corrected based on the real-time moisture content of the steel slag or the free calcium oxide content of the steel slag to obtain the corrected deviation value.

[0029] First, for the mixing stage, the system pre-inputs the designed mix proportion as a quality control benchmark. This design mix proportion includes the preset proportion of steel slag, the preset amount of asphalt, and the aggregate gradation range. Based on the collected actual amounts of steel slag and asphalt, the system calculates the actual proportion of steel slag and the actual amount of asphalt, and then subtracts them from the preset benchmark values ​​to obtain the initial deviation values ​​for the steel slag proportion and the asphalt amount. Simultaneously, the system performs a difference calculation based on the median of the collected actual temperature of the mixture and the preset temperature range to obtain the initial temperature deviation value.

[0030] Considering that steel slag is an industrial byproduct, its moisture content and free calcium oxide content fluctuate significantly depending on the source of raw materials and the storage time. Moisture content directly affects the actual mass and bulk density of the steel slag, while free calcium oxide content affects the volume stability and compaction characteristics of the mixture. Therefore, the system introduces the real-time moisture content of the steel slag as a correction factor. Specifically, a microwave moisture meter or near-infrared moisture sensor installed on the steel slag conveyor belt continuously monitors the real-time moisture content of the steel slag. Based on this real-time moisture content, a moisture content correction coefficient is calculated, which is positively correlated with the actual amount of steel slag used. Multiplying the initial deviation value of the steel slag proportion by the moisture content correction coefficient yields the corrected deviation value of the steel slag proportion after moisture content correction. Similarly, the initial deviation value of the asphalt dosage is also proportionally corrected based on the influence of the steel slag moisture content on the total mass of the mixture.

[0031] The system detects the real-time free calcium oxide content of steel slag online using near-infrared spectroscopy or X-ray fluorescence spectrometry. Higher free calcium oxide content increases the risk of volume expansion in the steel slag, necessitating stricter requirements for compaction and mix proportions. The system generates an expansion risk correction coefficient based on the free calcium oxide content, applying this coefficient to both the initial temperature deviation and subsequent compaction deviation. For example, when the free calcium oxide content exceeds a preset threshold, the allowable temperature deviation range is appropriately narrowed, lowering the acceptable threshold for temperature deviation.

[0032] For the compaction stage, the initial compaction deviation is obtained based on the difference between the actual compaction degree and the preset acceptable compaction degree threshold. Then, the initial compaction deviation is comprehensively corrected by combining the real-time moisture content and free calcium oxide content of the steel slag. Higher moisture content reduces the compressibility of the steel slag, requiring higher compaction energy; higher free calcium oxide content increases the risk of aggregate breakage due to over-compression. The system establishes separate moisture content correction tables and free calcium oxide correction tables. Using linear interpolation or a pre-trained regression model, a comprehensive compaction degree correction coefficient is calculated. The initial compaction deviation is multiplied by this comprehensive correction coefficient to obtain the corrected compaction deviation.

[0033] All the above correction calculations are executed in real time in the logic processing layer of the industrial control computer. The correction coefficients and correction models can be dynamically updated based on historical construction data using machine learning algorithms to adapt to the material characteristics of different batches of steel slag. The final corrected deviation value replaces the original deviation value and serves as the sole basis for subsequent judgments on whether to trigger parameter control commands.

[0034] Step S140: In response to the correction deviation value exceeding the preset threshold, a parameter adjustment command is generated and sent to the corresponding construction equipment actuator to adjust its operating status. The specific steps are as follows: In step S140, after obtaining the corrected deviation value, a step is performed to generate a parameter adjustment command in response to the corrected deviation value exceeding a preset threshold, and the parameter adjustment command is sent to the corresponding construction equipment actuator to adjust its operating state.

[0035] The logic processing layer pre-stores preset thresholds for various quality parameters, including the allowable range for mix proportion deviation, the upper and lower limits for temperature deviation warnings, and the lower limit for acceptable compaction deviation. The logic processing layer receives the corrected deviation values ​​calculated in the preceding steps in real time and compares them with the corresponding preset thresholds. When the corrected deviation value does not exceed the preset threshold, the system determines that the current construction quality is under control, does not generate control commands, and continues to maintain the existing equipment operating parameters and monitor continuously. When the corrected deviation value exceeds the preset threshold, the system determines that the construction quality deviates from the design requirements and then enters the control command generation stage.

[0036] In the mixing stage, if the steel slag proportion correction deviation exceeds the preset allowable deviation of the mix proportion (e.g., the actual steel slag proportion is lower than the design minimum), the logic processing layer generates a control command to increase the opening of the steel slag feed valve. This command includes a specific valve opening adjustment amount, which has a linear or proportional-integral-derivative relationship with the magnitude of the correction deviation; the larger the deviation, the larger the adjustment amount. This control command is transmitted to the programmable logic controller (PLC) of the mixing plant via industrial Ethernet or fieldbus. After parsing the command, the PLC drives the corresponding stepper motor or pneumatic actuator to gradually increase the opening of the steel slag feed valve until the subsequently collected actual steel slag usage returns to the allowable range. Similarly, if the asphalt usage correction deviation exceeds the allowable range, a control command is generated to adjust the asphalt feed pump speed, and the pump speed is adjusted via a frequency converter to change the asphalt flow rate.

[0037] If the temperature correction deviation exceeds the preset temperature warning threshold, for example, if the actual temperature of the mixture is lower than the lower limit of the preset temperature range, the logic processing layer generates a control command to increase the power of the heating system. This command is sent to the controller of the burner or electric heater in the mixing plant, which increases the heating power in the mixing chamber by increasing the fuel supply or heating current, causing the mixture temperature to rise back to the target range. Simultaneously, the system can generate audible and visual alerts to remind on-site operators to pay attention to temperature changes.

[0038] During the paving process, if the thickness deviation exceeds the preset allowable thickness deviation (e.g., the actual paved thickness is lower than the design minimum), the logic processing layer generates a control command to increase the height of the paver's screed. This command is sent to the paver's screed hydraulic adjustment system via the controller's local area network bus. The hydraulic system gradually increases the screed height according to the step size specified in the command. After each adjustment, thickness data is re-collected and the deviation is calculated, forming a closed loop until the thickness meets the standard. If the international smoothness index exceeds the preset smoothness qualification threshold, a control command is generated to increase the vibration frequency or adjust the screed pressure. This improves road surface smoothness by changing the eccentric block speed of the vibration mechanism or the hydraulic cylinder pressure.

[0039] During the compaction process, if the compaction correction deviation value indicates under-compaction, meaning the actual compaction degree is lower than the preset acceptable compaction degree threshold, the logic processing layer generates a control command to reduce the compaction speed and increase the number of compaction passes. This command is sent to the roller's drive controller and compaction pass recording module. The drive controller reduces the engine speed or hydraulic pump displacement to lower the compaction speed to a low-speed range, while the compaction pass recording module increases the target compaction pass count for the target paving section by a preset value, guiding the operator or automatic driving system to supplement the under-compacted areas. If the compaction correction deviation value indicates over-compaction, meaning the actual compaction degree continuously exceeds the upper limit threshold, a control command is generated to reduce the compaction pressure by adjusting the roller's vibration amplitude or excitation force to reduce the compaction intensity.

[0040] All generated parameter control commands are accompanied by timestamps and location stamps, and are associated with the corrected deviation value that generated the command, the corresponding construction stage, and the equipment number, and stored in the data storage layer. After the actuator completes the adjustment, the system restarts to collect real-time quality parameters and repeats the aforementioned deviation calculation and correction steps until all corrected deviation values ​​fall within the preset threshold range, thereby achieving closed-loop control of construction quality.

[0041] Based on steps S110 to S140 above, in this embodiment of the invention, the initial deviation value can be corrected based on the real-time moisture content or free calcium oxide content of the steel slag asphalt mixture, based on the real-time quality parameters of the steel slag asphalt mixture collected at multiple stages. This results in a corrected deviation value that better reflects the true state of the steel slag material, and triggers equipment control accordingly. This effectively overcomes the interference of steel slag batch fluctuations on construction quality control, improves the accuracy of deviation judgment and the pertinence of control commands, and significantly enhances the stability and reliability of the construction quality of the steel slag asphalt mixture. In this way, it solves the technical problem in the prior art where the quality control method ignores the influence of the real-time moisture content or free calcium oxide content of the steel slag on the construction quality parameters, leading to inaccurate initial deviation judgment and inability to effectively guide equipment control.

[0042] The closed-loop control method for construction quality of steel slag asphalt mixture in the embodiments of the present invention further includes: using the adjusted real-time quality parameters as updated inputs, re-executing the steps of obtaining the initial deviation value and making corrections, forming a closed-loop iterative mechanism, and realizing continuous self-optimization and dynamic precise control of construction quality.

[0043] Furthermore, the mixing process includes: collecting the actual moisture content and free calcium oxide content of the steel slag; obtaining the initial deviation value of the mix proportion based on the preset mix proportion and the actual amount of steel slag and asphalt; correcting the initial deviation value of the mix proportion based on the actual moisture content of the steel slag to obtain the corrected deviation value of the mix proportion; and generating a control command to adjust the opening of the feed valve in response to the corrected deviation value of the mix proportion exceeding the preset allowable deviation of the mix proportion, so that the mix proportion control is more in line with the real-time state of the steel slag, significantly improving the accuracy and robustness of the mix proportion control.

[0044] Furthermore, the mixing process also includes: collecting the actual temperature of the mixture; obtaining a temperature deviation value based on a preset temperature range and the actual temperature of the mixture; generating a control command to adjust the power of the heating system in response to the temperature deviation value exceeding a preset temperature warning threshold; acquiring an image of the mixture at the discharge port; extracting particle distribution features from the image based on a convolutional neural network to obtain a uniformity coefficient; and generating a control command to extend the mixing time or adjust the stirring speed in response to the uniformity coefficient being lower than a preset uniformity qualification threshold. This achieves synergistic optimization of temperature and uniformity in the mixing process, effectively ensuring the consistency of the discharge quality of the mixture.

[0045] Furthermore, the paving process includes: collecting actual paving thickness data; obtaining a thickness deviation value based on the actual paving thickness and the preset paving thickness; generating a control command to adjust the height of the paver screed in response to the thickness deviation value exceeding the preset allowable thickness deviation; collecting international smoothness index data; and generating a control command to adjust the vibration frequency in response to the international smoothness index exceeding the preset smoothness qualification threshold. This achieves precise control of both paving layer thickness and smoothness, effectively improving the uniformity and consistency of road paving quality.

[0046] Furthermore, the compaction process includes: collecting actual compaction data and the real-time compaction pass count of the roller; obtaining compaction location information; obtaining an initial compaction deviation value based on the actual compaction and a preset compaction qualification threshold; correcting the initial compaction deviation value based on the real-time compaction pass count to obtain a corrected compaction deviation value; generating control commands to reduce compaction speed and increase the number of compaction passes in response to the under-compaction indication of the corrected compaction deviation value; and generating control commands to reduce compaction pressure in response to the over-compaction indication of the corrected compaction deviation value. This achieves refined adaptive control of the compaction process, effectively improving the uniformity and safety of the compacted material.

[0047] Furthermore, the compaction process also includes: based on the compaction location information and the roller's travel data, the actual number of compaction passes for each paving section is statistically analyzed in real time through trajectory tracking logic to obtain the pass deviation value; in response to the pass deviation value exceeding the allowable range, a prompt instruction is generated to supplement compaction or stop over-compaction of the paving section, realizing accurate monitoring of compaction passes and intelligent early warning of preventing under-compaction and over-compaction, effectively ensuring the comprehensiveness and uniformity of compaction operations.

[0048] Furthermore, it also includes anomaly handling steps: in response to the collected real-time quality parameters exceeding the preset severe exceedance threshold, an emergency shutdown command is generated and the corresponding construction equipment is suspended; in response to the sensor data remaining unchanged or undergoing abnormal changes, a sensor fault is determined, a fault warning is generated, and the system switches to a backup data source or suspends the associated construction process; in response to the data transmission network interruption, local caching is enabled to store the collected data, which is automatically synchronized after the network is restored, significantly improving the robustness and data integrity of the construction control system under complex working conditions.

[0049] Through the above description of the embodiments, those skilled in the art can clearly understand that the closed-loop control method for construction quality of steel slag asphalt mixture according to the above embodiments can be implemented by means of software plus necessary general-purpose hardware platform. Of course, it can also be implemented by hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk) and includes several instructions to cause a terminal device (which may be a mobile phone, computer, server, or network device, etc.) to execute the closed-loop control method for construction quality of steel slag asphalt mixture according to the various embodiments of the present invention.

[0050] This invention also provides a closed-loop control system for the construction quality of steel slag asphalt mixtures. This system is used to implement the above embodiments and preferred embodiments, and details already described will not be repeated. As used below, the term "module" can refer to a combination of software and / or hardware that performs a predetermined function. Although the systems described in the following embodiments are preferably implemented in software, hardware implementation, or a combination of software and hardware, is also possible and contemplated.

[0051] Example 2 Figure 2 According to one embodiment of the present invention, a closed-loop control system for the construction quality of steel slag asphalt mixture includes: The data acquisition module 201 is used to collect real-time quality parameters of steel slag asphalt mixture during the mixing, paving and compaction stages. The real-time quality parameters include at least the actual amount of steel slag, the actual amount of asphalt, the actual temperature of the mixture and the actual degree of compaction. The correction module 202 is used to obtain the initial deviation value based on the preset quality control benchmark and real-time quality parameters, and to correct the initial deviation value based on the real-time moisture content of the steel slag or the free calcium oxide content of the steel slag to obtain the corrected deviation value. The generation module 203 is used to generate parameter control instructions in response to the correction deviation value exceeding the preset threshold, and send the parameter control instructions to the corresponding construction equipment actuator to adjust its operating status.

[0052] It should be noted that the above modules can be implemented by software or hardware. For the latter, they can be implemented in the following ways, but are not limited to: all the above modules are located in the same processor; or, the above modules are located in different processors in any combination.

[0053] Example 3 According to one embodiment of the present invention, an electronic device is also provided, comprising: a memory storing an executable program; and a processor for running the program, wherein the program executes the above-described closed-loop control method for construction quality of steel slag asphalt mixture.

[0054] Optionally, in this embodiment, the processor can be configured to perform the following steps via a computer program: Step S1: Collect real-time quality parameters of steel slag asphalt mixture during the mixing, paving and compaction stages. The real-time quality parameters include at least the actual amount of steel slag, the actual amount of asphalt, the actual temperature of the mixture and the actual degree of compaction. Step S2: Based on the preset quality control benchmark and the real-time quality parameters, the initial deviation value is obtained, and the initial deviation value is corrected based on the real-time moisture content of the steel slag or the free calcium oxide content of the steel slag to obtain the corrected deviation value. Step S3: In response to the correction deviation value exceeding the preset threshold, a parameter adjustment command is generated and sent to the corresponding construction equipment actuator to adjust its operating status.

[0055] Example 4 According to one embodiment of the present invention, a computer-readable storage medium is also provided, the computer-readable storage medium including a stored executable program, wherein, when the executable program is running, it controls the device where the storage medium is located to execute the above-described closed-loop control method for construction quality of steel slag asphalt mixture.

[0056] Optionally, in this embodiment, the storage medium may be configured to store a computer program for performing the following steps: Step S1: Collect real-time quality parameters of steel slag asphalt mixture during the mixing, paving and compaction stages. The real-time quality parameters include at least the actual amount of steel slag, the actual amount of asphalt, the actual temperature of the mixture and the actual degree of compaction. Step S2: Based on the preset quality control benchmark and the real-time quality parameters, the initial deviation value is obtained, and the initial deviation value is corrected based on the real-time moisture content of the steel slag or the free calcium oxide content of the steel slag to obtain the corrected deviation value. Step S3: In response to the correction deviation value exceeding the preset threshold, a parameter adjustment command is generated and sent to the corresponding construction equipment actuator to adjust its operating status.

[0057] Optionally, in this embodiment, the storage medium may include, but is not limited to, various media capable of storing computer programs, such as USB flash drives, read-only memory (ROM), random access memory (RAM), portable hard drives, magnetic disks, or optical disks.

[0058] According to one embodiment of the present invention, a computer program product is also provided, including a computer program that, when executed by a processor, implements the above-described closed-loop control method for construction quality of steel slag asphalt mixture.

[0059] Example 5 Optionally, in this embodiment, the above-mentioned computer program product can be configured as a computer program that performs the following steps: Step S1: Collect real-time quality parameters of steel slag asphalt mixture during the mixing, paving and compaction stages. The real-time quality parameters include at least the actual amount of steel slag, the actual amount of asphalt, the actual temperature of the mixture and the actual degree of compaction. Step S2: Based on the preset quality control benchmark and the real-time quality parameters, the initial deviation value is obtained, and the initial deviation value is corrected based on the real-time moisture content of the steel slag or the free calcium oxide content of the steel slag to obtain the corrected deviation value. Step S3: In response to the correction deviation value exceeding the preset threshold, a parameter adjustment command is generated and sent to the corresponding construction equipment actuator to adjust its operating status.

[0060] Optionally, specific examples in this embodiment can refer to the examples described in the above embodiments and optional implementations, and will not be repeated here.

[0061] In the above embodiments of the present invention, the descriptions of each embodiment have different focuses. For parts not described in detail in a certain embodiment, please refer to the relevant descriptions of other embodiments.

[0062] In the several embodiments provided in this application, it should be understood that the disclosed technical content can be implemented in other ways. The system embodiments described above are merely illustrative; for example, the division of units can be a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces; the indirect coupling or communication connection of units or modules may be electrical or other forms.

[0063] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0064] Furthermore, the functional units in the various embodiments of the present invention can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0065] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this invention, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods of the various embodiments of this invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, read-only memory (ROM), random access memory (RAM), portable hard drives, magnetic disks, or optical disks.

[0066] The above are merely preferred embodiments of the present invention. It should be noted that those skilled in the art can make various improvements and modifications without departing from the principle of the present invention, and these improvements and modifications should also be considered within the scope of protection of the present invention.

Claims

1. A closed-loop control method for construction quality of steel slag asphalt mixture, characterized in that, Includes the following steps: Real-time quality parameters of steel slag asphalt mixture are collected during the mixing, paving and compaction stages. The real-time quality parameters include at least the actual amount of steel slag, the actual amount of asphalt, the actual temperature of the mixture and the actual degree of compaction. Based on the preset quality control benchmark and the real-time quality parameters, an initial deviation value is obtained, and the initial deviation value is corrected based on the real-time moisture content of the steel slag or the free calcium oxide content of the steel slag to obtain a corrected deviation value. In response to the correction deviation value exceeding a preset threshold, a parameter adjustment command is generated and sent to the corresponding construction equipment actuator to adjust its operating status.

2. The closed-loop control method for construction quality of steel slag asphalt mixture according to claim 1, characterized in that, The closed-loop control method for construction quality of steel slag asphalt mixture also includes: The adjusted real-time quality parameters are used as updated inputs to re-execute the steps of obtaining the initial deviation value and making corrections.

3. The closed-loop control method for construction quality of steel slag asphalt mixture according to claim 2, characterized in that, The mixing process includes: The actual moisture content and free calcium oxide content of the steel slag were collected. Based on the preset mix proportion and the actual amount of steel slag and asphalt, the initial deviation value of the mix proportion is obtained; The initial deviation value of the mix proportion is corrected based on the actual moisture content of the steel slag to obtain the corrected deviation value of the mix proportion. In response to the mixing ratio correction deviation value exceeding the preset mixing ratio allowable deviation, a control command is generated to adjust the opening of the feed valve.

4. The closed-loop control method for construction quality of steel slag asphalt mixture according to claim 3, characterized in that, The mixing process also includes: Collect the actual temperature of the mixture; Based on the preset temperature range and the actual temperature of the mixture, the temperature deviation value is obtained; In response to the temperature deviation value exceeding the preset temperature warning threshold, a control command is generated to adjust the power of the heating system; Acquire an image of the mixture at the discharge port; The uniformity coefficient is obtained by extracting the particle distribution features in the image based on a convolutional neural network. In response to the uniformity coefficient being lower than a preset uniformity qualification threshold, a control command is generated to extend the mixing time or adjust the stirring speed.

5. The closed-loop control method for construction quality of steel slag asphalt mixture according to claim 1, characterized in that, The paving process includes: Collect actual paving thickness data; Based on the actual paving thickness and the preset paving thickness, the thickness deviation value is obtained; In response to the thickness deviation value exceeding the preset allowable thickness deviation, a control command is generated for adjusting the height of the paver screed. Collect international flatness index data; In response to the international flatness index exceeding the preset flatness qualification threshold, a control command is generated to adjust the vibration frequency.

6. The closed-loop control method for construction quality of steel slag asphalt mixture according to claim 5, characterized in that, The compaction process includes: Collect actual compaction data and the real-time number of compaction passes by the road roller; Obtain compaction location information; Based on the actual compaction degree and the preset compaction degree qualification threshold, the initial deviation value of compaction degree is obtained; Based on the real-time compaction pass count, the initial compaction deviation value is corrected to obtain the compaction correction deviation value. In response to the under-compaction indicated by the compaction correction deviation value, an adjustment command is generated to reduce the compaction speed and increase the number of compaction passes; In response to the compaction correction deviation value indicating overpressure, a control command is generated to reduce the compaction pressure.

7. The closed-loop control method for construction quality of steel slag asphalt mixture according to claim 6, characterized in that, The compaction process also includes: Based on the compaction location information and the roller's travel data, the actual number of compaction passes for each paving section is statistically analyzed in real time using trajectory tracking logic to obtain the pass deviation value. In response to the deviation value of the number of passes exceeding the allowable range, a prompt instruction is generated to re-compact or stop over-compacting the paving section.

8. The closed-loop control method for construction quality of steel slag asphalt mixture according to claim 1, characterized in that, It also includes exception handling steps: In response to the real-time quality parameters collected exceeding the preset severe exceedance threshold, an emergency shutdown command is generated and the corresponding construction equipment is suspended. In response to sensor data remaining unchanged or undergoing abnormal changes, a sensor fault is determined, a fault warning is generated, and the system switches to a backup data source or suspends the associated construction process. In response to a network interruption in data transmission, local caching is enabled to store the collected data, which will be automatically synchronized once the network is restored.

9. A closed-loop control system for the construction quality of steel slag asphalt mixture, characterized in that, include: The data acquisition module is used to collect real-time quality parameters of steel slag asphalt mixture during the mixing, paving and compaction stages. The real-time quality parameters include at least the actual amount of steel slag used, the actual amount of asphalt used, the actual temperature of the mixture and the actual degree of compaction. The correction module is used to obtain an initial deviation value based on a preset quality control benchmark and the real-time quality parameters, and to correct the initial deviation value based on the real-time moisture content of the steel slag or the free calcium oxide content of the steel slag to obtain a corrected deviation value. The generation module is used to generate parameter adjustment instructions in response to the correction deviation value exceeding a preset threshold, and send the parameter adjustment instructions to the corresponding construction equipment actuator to adjust its operating status.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the closed-loop control method for construction quality of steel slag asphalt mixture as described in any one of claims 1 to 8.

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