A real-time monitoring method for the dynamic process of roadbed rolling construction

Abstract

The invention discloses a real-time monitoring method for the dynamic process of roadbed rolling and constructing. The method comprises the following steps. The various road rolling machineries are provided with mobile station equipment with high-precision GPS-RTK system and base station equipment. The base station equipment acquires and transmits the GPS observed data; the mobile stations of the road rolling machineries perform carrier dynamic phase differences to the data received through a 3G networked transmission module from the base station and the acquired GPS observed data and transmit the solved data to a 3D network server. A data converting and filtering subsystem processes, analyzes and stores the data in a database; the display platform of a monitoring center obtains the data in the database through the network and dynamically displays the three-dimensional visualized rolling process information. Therefore, real-time monitoring of the entire construction process can be achieved to ensure that a roadbed is rolled for at least as many times as possible until it is fully compacted. In this way, the phenomena of excessive pressing or lack of pressing can be avoided; human resources are reduced; and the construction time is shortened.

Description

technical field [0001] The invention belongs to the field of industrial equipment detection, and in particular relates to a method for real-time monitoring of the dynamic process of roadbed rolling construction. Background technique [0002] Subgrade construction is a very complicated process, and it is generally compacted according to the procedures of initial pressure, re-pressure, and final pressure. The initial pressure adopts static compaction, so that the loose pressed material is relatively stable and can obtain a certain bearing capacity. Recompression can recombine the particles of the pressed material through the vibration and impact of the road roller, so that the materials can be filled with each other and squeezed close to each other, so as to obtain sufficient compactness and strength. The degree of compaction of the subgrade is an important internal index of the quality management of subgrade engineering construction, and the real-time monitoring of the const...

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Problems solved by technology

The sand filling method uses uniform sand to replace the volume of the test hole. This method has a strong sampling randomness, a large number of weighings, and is greatly affected by human factors.

The density measured by the ring knife method is the average density within the depth range of the soil sample in the ring knife. This method cannot represent the average density of the entire rolling layer, and the use area is narrow

The non-destructive test mainly includes the nuclear instrument method, which uses radioactive elements to measure the density and water content of soil or pavement materials. The disadvantage of this method is that radioactive substances are harmful to the human body. The structure near the wall is destroyed, which affects the accuracy of the measurement

These traditional compaction detection methods have the disadvantage that the analysis of the detection results lags behind the compaction process, and it is impossible to monitor the roadbed rolling process and provide compaction information in real time

Some new pavement quality inspections have emerged at home and abroad, such as pavement compaction detection based on vibration response and intelligent road rollers, etc., which make continuous automatic detection and monitoring of compaction quality possible, but these methods do not comprehensively consider the quality of many rolling processes. Control factors and many uncertain factors, the monitoring index is single, such as a single quality monitoring method based on compactness, modulus or stiffness, etc., and the compaction process control of a single index must be one-sided, and the compaction quality cannot be monitored in real time. Reliable, Comprehensive Synthetic Monitoring

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