3DVeniceWellheads: Difference between revisions

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Venice is one of the cities in Europe with the richest and largest number of [https://en.wikipedia.org/wiki/Puteal well-heads], locally known as ''Vere da Pozzo''. This term refers to the stone structure surrounding the pipe of a well with a protective function. Across history, the role of wells for Venice has always been crucial, in first place to assure drinking water for citizens. Although on water, the city needed wells to store unsalted water. They were placed most of the time in the middle of a square or a private courtyard to collect rainwater and filter it in the ground. In times of drought, they were filled with fresh water from the nearby Brenta river.  
Venice is one of the cities in Europe with the richest and largest number of [https://en.wikipedia.org/wiki/Puteal well-heads], locally known as ''Vere da Pozzo''. This term refers to the stone structure surrounding the pipe of a well with a protective function. Across history, the role of wells for Venice has always been crucial, in first place to assure drinking water for citizens. Although on water, the city needed wells to store unsalted water. They were placed most of the time in the middle of a square or a private courtyard to collect rainwater and filter it in the ground. In times of drought, they were filled with fresh water from the nearby Brenta river.  


Over time, the need and societal use of wells evolve along society. Once more than 6000 across all Venice, it is today estimated that more than 2300 well-heads are spread across the city. To better understand these change, the goal of this digital humanities project is thus to dizitize well-heads and thus provide additional material to upgrade the Venice 1808 digital Cadaster in development at the epfl DH lab.
Over time, the need and societal use of wells evolve along society. Once more than 6000 across all Venice, it is today estimated that more than 2300 well-heads are spread across the city. To better understand these changes, the goal of this digital humanities project is thus to dizitize well-heads and thus provide additional material to upgrade the Venice 1808 digital Cadaster in development at the epfl DH lab.


The project uses the book ''Vere da Pozzo'' by Alberto Rizzi with circa 250 references of well-heads in the wider Venice islands. It lists photos, description of conservation, periods of construction, material, and overall dimensions. It is complemented with the GPS locations of well-heads in Venice available [http://cigno.atlantedellalaguna.it/maps/47/view here].
The project uses the book ''Vere da Pozzo'' by Alberto Rizzi with circa 250 references of well-heads in the wider Venice islands. It lists photos, description of conservation, periods of construction, material, and overall dimensions. It is complemented with the GPS locations of well-heads in Venice available [http://cigno.atlantedellalaguna.it/maps/47/view here].

Revision as of 16:36, 19 December 2021

Introduction

Hello this is the intro

Book Vere Da Pozzo Di Venezia, Alberto Rizzi, La Stamperia Di Venezia Editrice, 1981.

search for images of wells

The Well-Heads of Venice – Alberto Rizzi

Motivation

Venice is one of the cities in Europe with the richest and largest number of well-heads, locally known as Vere da Pozzo. This term refers to the stone structure surrounding the pipe of a well with a protective function. Across history, the role of wells for Venice has always been crucial, in first place to assure drinking water for citizens. Although on water, the city needed wells to store unsalted water. They were placed most of the time in the middle of a square or a private courtyard to collect rainwater and filter it in the ground. In times of drought, they were filled with fresh water from the nearby Brenta river.

Over time, the need and societal use of wells evolve along society. Once more than 6000 across all Venice, it is today estimated that more than 2300 well-heads are spread across the city. To better understand these changes, the goal of this digital humanities project is thus to dizitize well-heads and thus provide additional material to upgrade the Venice 1808 digital Cadaster in development at the epfl DH lab.

The project uses the book Vere da Pozzo by Alberto Rizzi with circa 250 references of well-heads in the wider Venice islands. It lists photos, description of conservation, periods of construction, material, and overall dimensions. It is complemented with the GPS locations of well-heads in Venice available here.

The material available limits the level of detail one can extract through digitization. Some wells are badly preserved and most of the time, only one photograph is provided. Pictures of well-heads are similar to a profile point of view but vary case by case. However, the material is good enough to give clear indications on the overall shape and the style adopted. The architectural styles of well-heads are thus the key elements to be successfully digitized in this project. The reader could expect to recognize arches, geometrical symetries, overall size, and molding styles as differentiating elements of Venetian well-heads. Detailed sculptures won't be reproduced.

Project Plan

The project is separated in three main goals:

  • First identify the historical document and what kind of information to digitize. This part is described in the motivation part above.
  • Second identify the strategies to digitize. Which tools are going to be used to what purpose.

Main steps of the project:

  • Preliminary research on the net and books: wells classification.
  • Identification of common and particular features.
  • Definition of parameters to describe all these traits digitally.
  • Creation of one single 3D model capable of describing the larger number of possible wells.
  • Starting from this model, replica of the wells in the book "Vere da Pozzo di Venezia" by Alberto Rizzi.
  • Wells database (?).
  • Wells placing (?).
  • Tada!
Date Task Completion
By Week 3
  • Brainstorm project ideas, come up with at least one feasible innovative idea.
  • Prepare slides for initial project idea presentation.
By Week 4
  • Definition of the content and outcome of the project
By Week 5
  • Definition of the content and outcome of the project
  • Rhino and Grasshopper tutorial
By Week 6
  • Identification of well-heads typologies with the book Vere da Pozzo
  • Use the typologies to define the model structure and parameters
By Week 7
  • Design a grasshopper diagram for slabs and mouldings. Use input points as csv file.
By Week 8
  • Work on the 3D model
  • Improve the Grasshopper model for slabs and mouldings. Eliminate issues and finalize the set of parameters used to describe the typologies of a well-head.
  • Prepare slides for the midterm project presentation.
By Week 9
  • Improve the Grasshopper model. Use of JSON file for the well-heads parameters.
  • Identify how to extract the parameters out of the well-heads picture of the book.
  • Rehearse the midterm presentation
By Week 10
  • Midterm presentation
  • Design a Grasshopper model to extract parameters from pictures and output a JSON file.
  • Scan the book Vere Da Pozzo
By Week 11
  • Definitive 3D model on Grasshopper.
  • Generate semi-automatically the 3D models of well-heads.
By Week 12
  • Create a JSON file with well-head ID, location coordinates, link to the 3D model, the square name, the construction time, the material and the height.
  • Provide either the images of the well-heads through a unique PDF or as a set of individual files.
  • Finish to generate semi-automatically the 3D models of well-heads.
By Week 13
  • Preparation for the final presentation
  • Complete the wiki on motivation, methods, quality assessment, and limitations.
  • Time slot dedicated to diverse problem-solving cases.
By Week 14
  • Final presentation

Methodology

The well-heads of Venice or "vere da pozzo" feature detailed artworks such as stone sculptures. It is challenging to replicate them with a procedural 3D modelling process. The goal is to identify the most basic typologies of wells with basic geometric shapes and use them to model a simple shape of each well with Rhino Grasshopper.

Common typologies of wells:

  • Base with circular, square, hexagonal, octagonal, decagonal (10), dodecagonal (12) shapes.
  • Top with circular, square, hexagonal, octagonal, decagonal (10), dodecagonal (12) shapes.
  • Edges are either sharp or embedding a sculpture that cut them.
  • Well-heads rest on a slab with one, two or three steps.
  • Top 10-15cm of the well either have flanges with square or circular profiles or arcades

The following illustrations come from the book Vere Da Pozzo Di Venezia, Alberto Rizzi, La Stamperia Di Venezia Editrice, 1981. They illustrate the typologies.

Classification by stylistic appearance and historical period:

Type Period Features
Archeological Greek and Roman Rough, made from column shafts, altars, memorial stones, cinerary urns and other pieces.
Carolingian VIII-X centuries Cubic, decorated with symbols of Christian art
Venetian-Byzantine XI-XIII centuries Free-standing cylinder decorated with pillars or columns
Gothic XIV-XV centuries Like capitals of columns or pillars, with square frame
Traditional from 1300 Cylindrical shaft with small arches in the corners
Lombardesque late XV-early XVI centuries Modelled like columns capitals
Renaissance mid XV-mid XVI centuries Polygonal shape with figures in the lateral boxes
Baroques XVI-XVIII centuries Double swelling in the middle
Neoclassical XVIII-XIX centuries Very simple cylindrical structure

Set of parameters:

  • Number of slabs

For each slab:

  • Height
  • Outer diameter (without mouldings)
  • Number of polygonal edges at the top, 0 for circle
  • Number of polygonal edges at the bottom, 0 for circle

For the outline of the moulding:

  • Starting point position and direction (2D)
  • Ending point position and direction (2D)
  • Middle point position, direction (2D) and scale factor of the opposite direction
  • Shear factor

Results

Future work

  • scan a sample of representative wells, perspectives : 1h
  • design a grasshopper code to generate json out of the images: 5h
  • scan the book as PDF or as a set of JPG: 5h
  • generate the JSONs: 16h
  • classify the well-heads of the book ?h