Clash Detection Algorithm

Clash detection allows for the effective identification, inspection and reporting of interferences in 3D project model. You can conduct clash tests between traditional 3D geometry (triangles), and laser-scanned point clouds or you can combine the Clash Detective functionality with other Navisworks tools.

In addition to the existing clash detection function in the building system, a new detection and management function has been developed. It is based on a new interference detection algorithm that analyses large 3D models for clashes within seconds including, if desired, any objects that are within a certain capture distance from a specific object. This feature can be used for analysis of shock-mounted objects which may vibrate or move in operation. It can also be used to determine service space and access to equipment items.

Clash Detection algorithm to ignore constructors because clash prevention isn't yet implemented for constructors.

• Suppose we maintain an MD5 hash of each entry in the database. Now, when an update is made, the server handling it creates a message to all other masters containing the updated data plus the old and new MD5 hashes. All servers receiving the update first check that the old hash matches the one they already have. If the hashes match, the update proceeds. If the hashes differ, a conflict is signaled.
• Some non-conflicting changes to an entry can be detected and allowed by finding the hash of the entry that would result if the update were allowed to go through, and comparing it with the new hash.
• Now, what should happen in the case of a conflict? It may not be seen at all masters so the only safe response is to undo the change everywhere. Implementing this safely requires updates to use a two-phase commit. It also means that no updates can proceed unless all masters are reachable, which is why i say that multi-master is OK clusters. If we are prepared to accept some inconsistencies in the data, then it is probably best to just generate messages to human admins when conflicts are detected.

The clash detection algorithm uses a three dimensional hash table and has constant clash detection time. To set the side chains we used a maximum number of possible alterations equal to the number of possible conflicts may increase with the size of the protein, but only until a core of well packed atoms is formed.