Abstract: A facility control system includes lab, field and construction equipment with a wireless transceiver to transmit machine generated actual initial measurement (AIM) data including GPS information from a field activity to a wide area network; a mobile computer with a wireless transceiver to transmit human generated data from an office, a remote lab, or a field test to the network; and a server coupled to the network, the server including a database to receive machine and human generated AIM data, wherein the server applies statistics and engineering methods to predict specification compliance and performance, wherein the AIM data is used with pre-formatted engineered designed data sheets, including checklist/traveler form, that reflect the exact location of the event and required standards including incorporating best construction practices for installation of construction items and materials quality to promote standardization, uniformity that insures contract compliance and minimizes non-conforming items in re

Abstract: A facility control system includes lab, field and construction equipment with a wireless transceiver to transmit machine generated actual initial measurement (AIM) data including GPS information from a field activity to a wide area network; a mobile computer with a wireless transceiver to transmit human generated data from an office, a remote lab, or a field test or inspection to the network; and a server coupled to the network, the server including a database to receive machine and human generated AIM data, wherein the server applies statistics and engineering methods to predict specification compliance and performance, wherein the AIM data is used with pre-formatted engineered designed data sheets that reflect the exact location of the event and required standards including incorporating best construction practices for installation of one or more construction items and materials quality to promote standardization, uniformity that insures contract compliance and minimizes non-conforming items in real time.

Abstract: A facility control system includes lab, field and construction equipment with a wireless transceiver to transmit machine generated actual initial measurement (AIM) data from a field test to a wide area network; a mobile computer with a wireless transceiver to transmit human generated data from an office, a remote lab, or a field test to the network; and a server coupled to the network, the server including a database to receive machine and human generated AIM data, wherein the server applies statistics and engineering methods to predict specification compliance and performance, wherein the AIM data is used with pre formatted engineered designed data sheets that reflect the exact location of the event and required standards including incorporating best construction practices for installation of one or more construction items and materials quality to promote standardization, uniformity that insures contract compliance and minimizes non-conforming items, wherein the AIM and AFM data is determined on the server o

Abstract: Systems and methods are disclosed to analyze construction materials, contract and management plans, components or blends by accessing a server located on a wide-area-network; sending information collected from the materials, components or blends to the server; applying one or more test or inspection methodologies to the collected information; performing one or more audits; generating one or more quality management reports from the test methodologies and the audits; and sending the one or more quality management reports to a project manager.

Abstract: A computer-implemented system performs analysis on a construction material mixture includes accessing a server located on a wide-area-network; sending information collected from the material mixture to the server; applying one or more test methodologies to the collected information; generating one or more reports from the test methodologies; and sending the one or more reports to a project manager.

Abstract: Systems and methods are disclosed for designing and tracking construction material usage by estimating volumetric properties for one or more mix designs; determining an optimum mix based on laboratory data; and field testing a sample of the optimum mix; and tracking and managing construction material usage based on the optimum mix.

Abstract: Systems and methods are disclosed for asphalt mix design by predicting properties associated with a mix of volumetric properties; verifying properties of the mix by digitally collecting data for each gyration from a gyratory compactor; selecting an optimum mix based on the gyration data; determining a percentage of maximum theoretical density; testing properties of the optimum mix with an ignition process; and determining gradation of the optimum mix.

Abstract: Systems and methods are disclosed for automating asphalt mix design by running one or more tests on the mix design using computer controlled equipment; digitally collecting data for each run using the computer controlled equipment; and selecting an optimum mix based on the collected data.

Abstract: Systems and methods are disclosed for automating mix design by estimating volumetric properties for one or more mix designs; running one or more tests on the mix design using a gyratory compactor; digitally collecting data for each gyration from the gyratory compactor; selecting an optimum mix based on the gyration data; and testing a sample of the optimum mix using an ignition process.

Abstract: Systems and methods are disclosed for designing and tracking construction material usage by estimating volumetric properties for one or more mix designs; determining an optimum mix based on laboratory data; and field testing a sample of the optimum mix; and tracking and managing construction material usage based on the optimum mix.

Abstract: Systems and methods are disclosed for automating mix design by estimating volumetric properties for one or more mix designs; running one or more tests on the mix design using a gyratory compactor; digitally collecting data for each gyration from the gyratory compactor; selecting an optimum mix based on the gyration data; and testing a sample of the optimum mix using an ignition process.

Abstract: A computer-implemented system performs quality control on a construction material mixture includes accessing a server located on a wide-area-network; sending information collected from the material mixture to the server; applying one or more test methodologies to the collected information; generating one or more reports from the test methodologies; and sending the one or more reports to a project manager.

Abstract: Systems and methods are disclosed for designing and tracking construction material usage by estimating volumetric properties for one or more mix designs; determining an optimum mix based on laboratory data; and field testing a sample of the optimum mix; and tracking and managing construction material usage based on the optimum mix.

Abstract: Systems and methods are disclosed for automating asphalt mix design by estimating volumetric properties for one or more mix designs; running one or more tests on the mix design using a gyratory compactor; digitally collecting data for each gyration from the gyratory compactor; and selecting an optimum mix based on the gyration data.

Abstract: Systems and methods are disclosed for automating mix design by estimating volumetric properties for one or more mix designs; running one or more tests on the mix design using a gyratory compactor; digitally collecting data for each gyration from the gyratory compactor; selecting an optimum mix based on the gyration data; and testing a sample of the optimum mix using an ignition process.

Abstract: Systems and methods are disclosed for automating asphalt mix design by estimating volumetric properties for one or more mix designs; running one or more tests on the mix design using a gyratory compactor; digitally collecting data for each gyration from the gyratory compactor; and selecting an optimum mix based on the gyration data.

Abstract: A field inspection system includes a handheld computer; a camera coupled to the computer to capture an image or video; a sketch pad coupled to the handheld computer to capture a sketch; and code to annotate the image and to communicate the image to a remote computer.

Abstract: A construction management system includes a handheld computer adapted to collect construction data from the field; a planning system to track budgetary information; a design system to perform site engineering assessment; and a construction system to track material consumption and progress for each project, the construction system adapted to receive data collected from the handheld computer, store daily project reports and generate key indicator reports.

Abstract: A computer-implemented system performs quality control on a construction material mixture includes accessing a server located on a wide-area-network; sending information collected from the material mixture to the server; applying one or more test methodologies to the collected information; generating one or more reports from the test methodologies; and sending the one or more reports to a project manager.

Abstract: An apparatus and a method optimizes a job mix formulation (JMF) for hot mix asphaltic concrete. The apparatus receives JMF data input, including hand-entered data, hand-drawn data, or computer optimized data. The apparatus then generates a voids in the mineral aggregate (VMA) value. Next, it prompts the user to select a design methodology, including a Marshall mix methodology, a Hveem mix methodology, a Strategic Highway Research Program mix methodology, or a user definable mix methodology. Once the appropriate methodology has been selected, the apparatus applies a number of computations which use the VMA value. The apparatus also generates an aggregate composition for the hot mix asphaltic composition satisfying the job mix formulation based on the JMF data input and the selected design methodology.