Conducting Survey Using Network Survey Vehicle For The Work Reconstruction Widening Of High Level Bridges At Design Chainage Km 35.331 And At Km 35.771 Of Hyderabad Vijayawada Section Of Nh 65 Old No. 9 To 8Lane Configuration Including Development Of Stre

Conducting Survey Using Network Survey Vehicle For The Work Reconstruction Widening Of High Level Bridges At Design Chainage Km 35.331 And At Km 35.771 Of Hyderabad Vijayawada Section Of Nh 65 Old No. 9 To 8Lane Configuration Including Development Of Stretch From Design Chainage Km 34.930 To Km 36.400 Of Nh 65 Old No. 9 To 4 Or 8 Lane On Epc Mode Under Annual Plan 2019 20 2Nd Call

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INR 5700.00 /-

INR 5.64 Lakhs /-

S.No	Subwork Name	Specification Number	Quantity	UOM	Rate(INR)	Amount(INR)
1	Conducting survey using Network Survey Vehicle for the work Reconstruction/widening of High Level Br	As directed by Engineer in Charge	141.12	km/Lane/Cycles	4000.00	564480.00
Conducting survey using Network Survey Vehicle to record the minimum parameter in each lane of the road but not limited to the following parameters : (i) Inventory of the road : GPS Coordinates, Pavement Type, Pavement Width, Terrain, Land use, Shoulder type and width, Drain type and width, Median Type and width, Wayside amenities, Crash barrier, Signages etc., (Note: All inventory items shall be recorded on both sides of the road and geo tagged with images) (ii) Condition of the road : Roughness, Rutting, Distress (Cracking, Potholes, Bleeding, Surface failure etc.,) (Note: All inventory items shall be recorded for each lane and Geo tagged). The pavement data collection equipment should (i) automatically measure various pavement defects through 3D profiling at normal highway speeds of up to 100 kmph. The system should have Laser Crack measurement System with geometry and IRI sensors. The system should have DGPS receiver with sub-meter accuracy equipped with inertial navigation system. It should have high resolution Odometer with at least 10000 pulses per revolution of the Tire have Class 3 Roughness device which can be operated at 10 kmph to 100 kmph and capable of measuring 8+ IRI values in very rough, unpaved and wet conditions. System should have at least 3 ROW cameras and /or 360 degree camera. World Bank class 1 portable reference profiler or its equivalent should be available to setup roughness calibration or validation sites. Software should have in-built calibration feature. The system should have office post-processing software for analysis and mobile mapping. The software should be capable of completing preliminary analysis of a day?s data (at least 50 km) in a day by one person. Post processing software integrated with the equipment should give the data output as per user defined Tabular formats covering all the pavement condition/ Road data items expected of a standard Network Survey Vehicle (iii) be able to operate during day and night. It should measure full 4 m width of the road. It should identify lane markings and should automatically adjust position to the user defined locations. The system should use lane tracking feature to remove driver influence. It must include validation tool. Distance resolution should not be more than 1 mm. Distance accuracy should be 0.01% or better. DGPS should have minimum 5 Hz update rate. Geometry unit should have inertial navigation system (gyroscope), 3 axis accelerometer and proximity sensor to give position information from the GPS and should have a built-in test (BIT) feature (iv) System should use at least 2 high accuracy 3D lasers with Inertial Measurement Unit. The lasers should be high speed lasers with speeds of 32 kHz and with 3 axis accelerometers with operating range of 20-100 kmph. 3D Lasers should be capable of measuring transverse profiles with high resolution at a frequency of at least 28000 profiles per second. Data Acquisition System (DAS) should include coordinate conversion feature which allows operators to automatically convert GPS data into any local datum. The system should display Real-time elevation measurements and IRI values during surveys and should be able to automatically calculate IRI over user defined intervals. The data output should be in generic file formats like .MDB, .CSV etc. Data acquisition system should display real-time data and status for all sensors. The system should accurately measure longitudinal and transverse slope. It should detect cracks down to 1mm. Data output should include cracking (longitudinal, transverse, alligator, multiple, sealed cracks, potholes, Rut depth/width/cross-sectional area for each wheel path, Macro texture across whole lane width in 5 AASHTO bands, Raveling, Bleeding, shoving, Curb edge, Concrete joint faulting, water pooling, Geotagged pavement images (in .JPEG format). Output should include Cross fall / slope, Radius of curvature and gradient. Raw data should be supplied in a suitable long lasting storage medium for cross checking at any time.