Intelligent control system and method for construction quality of special binder for asphalt pavement

Abstract

The invention provides a dynamic control system based on real-time monitoring aiming at high-temperature sensitivity and construction variability of a composite modified asphalt binder. According to the method, precise regulation and control of the construction process are achieved by presetting the construction temperature range (170-190 DEG C) of the binder, the stirring speed (800-1200 r / min) and rolling process parameters and combining infrared temperature measurement and real-time feedback of a nucleon density instrument. And meanwhile, a temperature and humidity curing system within 72 hours after construction is established, so that stable molding of the molecular structure of the binder is ensured.

Description

Technical Field

[0001] This invention belongs to the field of intelligent management and control of road construction, specifically involving a construction quality control method for special adhesives for long-life asphalt pavement based on viscosity-temperature characteristics and data closed loop, to ensure the realization of the 30-year design life. Background Technology

[0002] Existing problems

[0003] Temperature runaway: Traditional construction relies on manual temperature measurement (error ±10℃), which leads to adhesive aging or insufficient compaction;

[0004] Lagging compaction quality: The nuclear density meter only detects one point and cannot adjust the rolling process in real time;

[0005] Poor maintenance: Lack of covering and maintenance allows moisture to seep in and cause early water damage;

[0006] Data fragmentation: Construction parameters are disconnected from later performance, making it impossible to trace the root cause of the problem. Summary of the Invention

[0007] The core of this invention lies in solving the problem of molecular structure stability during the construction process of special adhesives. The temperature parameter setting in step (1) is based on its rheological performance test results. For example, adhesives with high polymer content need to be increased by 5-10℃ to ensure fluidity, but should not exceed 200℃ to avoid molecular chain breakage. The real-time monitoring system in step (2) synchronizes data to the cloud platform through 5G transmission to realize remote early warning and parameter adjustment.

[0008] A method for quality control during the construction of a long-life asphalt pavement special adhesive, characterized by comprising:

[0009] (1) Determine the construction temperature range according to the viscosity-temperature curve of the special adhesive: mixing 170–180℃, paving 165–175℃, initial compaction 160–170℃, final compaction ≥130℃;

[0010] (2) The equipment parameters are automatically adjusted when the temperature deviates from the preset value by ±5℃ or RH>80% by real-time monitoring of the infrared thermometer (accuracy ±1℃) of the mixing plant and the humidity sensor (accuracy ±3%RH) of the paver.

[0011] (3) The compaction degree is tested every 50m using a nuclear density meter, and the compaction quality is controlled by combining the core porosity (3–5%).

[0012] (4) After construction, cover with insulation film to maintain 60℃ for 24 hours, and spray with waterproof agent for rain protection for 72 hours;

[0013] (5) Establish a construction parameter-performance database to trace the root cause of the disease.

[0014] Further, according to the method of claim 1, the dynamic control logic in step (2) includes:

[0015] When the mixing temperature is greater than 185℃, the heat transfer oil flow rate will be automatically reduced by 10%.

[0016] When the paving moisture content is >80%, activate the hot air curtain system until the RH ≤75%.

[0017] Further, according to the method of claim 1, the compaction feedback control in step (3) is characterized in that:

[0018] When the nuclear density meter reading is less than 96%, the road roller automatically performs one additional compaction pass.

[0019] When the core porosity is greater than 5%, the section is marked as a high-risk area and monitoring is intensified.

[0020] Furthermore, according to the method of claim 1, the heat-insulating film is an aluminum foil composite reflective film (solar radiation reflectivity ≥85%), and the covering is completed within 30 minutes after final pressing.

[0021] Further, according to the method of claim 1, the database in step (5) comprises:

[0022] Construction process: temperature-time curve, compaction degree thermogram;

[0023] Later performance: rut depth, crack distribution;

[0024] Correlation model: predicting the fatigue life of segments with abnormal porosity based on machine learning.

[0025] Furthermore, an intelligent construction system implementing claims 1-5 is characterized by comprising:

[0026] Sensing layer: Infrared thermometer for mixing plant, humidity sensor for paver, Beidou positioning + compaction meter for road roller;

[0027] Control layer: PLC controller (receives sensor signals and adjusts heating / compacting parameters);

[0028] Data layer: Cloud platform database (stores construction data and associates it with performance monitoring).

[0029] Furthermore, according to the system of claim 6, the compaction meter of the road roller is a continuous microwave density sensor with a measurement accuracy of ±0.8%.

[0030] This invention can effectively reduce the construction defect rate and improve the durability of the pavement structure, and is suitable for highway construction with a 30-year lifespan design. Detailed Implementation

[0031] Example 1: Construction during high-temperature season (35℃ environment)

[0032] Control Link Deficiencies of traditional methods Control effect of the invention Mixing temperature 185℃ (exceeding this limit leads to aging) Infrared modulation → 175℃ (viscosity 0.21 Pa·s) Spreading humidity RH = 90% (weak interlayer adhesion) Hot air curtain dehumidification → RH = 75% compaction 93% (porosity 6.8%) Real-time pressurization once → 96% (porosity 4.2%) 3 years later, the tire tracks 8.2mm 3.5mm

[0033] Example 2: Full-cycle data traceability application

[0034] Problematic section: Longitudinal cracks appeared two years after the road opened to traffic at K23+100–K23+200;

[0035] Data traceability:

[0036] The construction database shows that the final pressure temperature of this section is 128℃ (<130℃ standard);

[0037] The porosity reading was 5.8% (>5% upper limit).

[0038] Maintenance decision: Targeted grouting reinforcement instead of full overhaul saves 60% in costs.

[0039] The compaction control in step (3) needs to be combined with the elastic recovery characteristics of the adhesive, and a "high temperature slow pressing" process (rolling speed 2-3 km / h) should be adopted to avoid the generation of temperature stress. The curing system in step (4) aims to promote the molecular cross-linking reaction of the adhesive, and the insulation film uses reflective materials to reduce the secondary temperature rise caused by high temperature exposure in summer.

[0040] Through application and verification on a certain test section, the pavement smoothness (IRI) constructed using this method is ≤2.0m / km, the texture depth is 0.8-1.2mm, the compliance rate of various indicators is 40% higher than that of the traditional method, and the rutting depth is ≤3mm after 6 months of construction, which verifies its role in ensuring the construction quality of long-life pavement.

Claims

1. A smart control system and method for the construction quality of special adhesives for asphalt pavement, characterized in that... include: (1) Determine the construction temperature range according to the viscosity-temperature curve of the special adhesive: mixing 170–180℃, paving 165–175℃, initial compaction 160–170℃, final compaction ≥130℃; (2) The equipment parameters are automatically adjusted when the temperature deviates from the preset value by ±5℃ or RH>80% by real-time monitoring of the infrared thermometer (accuracy ±1℃) of the mixing plant and the humidity sensor (accuracy ±3%RH) of the paver. (3) The compaction degree is tested every 50m using a nuclear density meter, and the compaction quality is controlled by combining the core porosity (3–5%). (4) After construction, cover with insulation film to maintain 60℃ for 24 hours, and spray with waterproof agent for rain protection for 72 hours; (5) Establish a construction parameter-performance database to trace the root cause of the disease.

2. The method according to claim 1, characterized in that: The dynamic control logic in step (2) includes: When the mixing temperature is greater than 185℃, the heat transfer oil flow rate will be automatically reduced by 10%. When the paving moisture content is >80%, activate the hot air curtain system until the RH ≤75%.

3. The method according to claim 1, characterized in that: The compaction feedback control in step (3) is as follows: When the nuclear density meter reading is less than 96%, the road roller automatically performs one additional compaction pass. When the core porosity is greater than 5%, the section is marked as a high-risk area and monitoring is intensified.

4. The method according to claim 1, characterized in that: The insulation film is an aluminum foil composite reflective film (solar radiation reflectivity ≥85%), and the covering is completed within 30 minutes after final pressing.

5. The method according to claim 1, characterized in that: The database in step (5) includes: Construction process: temperature-time curve, compaction degree thermogram; Later performance: rut depth, crack distribution; Correlation model: predicting the fatigue life of segments with abnormal porosity based on machine learning.

6. An intelligent construction system implementing claims 1-5, characterized in that... include: Sensing layer: Infrared thermometer for mixing plant, humidity sensor for paver, Beidou positioning + compaction meter for road roller; Control layer: PLC controller (receives sensor signals and adjusts heating / compacting parameters); Data layer: Cloud platform database (stores construction data and associates it with performance monitoring).

7. The system according to claim 6, characterized in that: The compaction meter for the road roller is a continuous microwave density sensor with a measurement accuracy of ±0.8%.