The GagePort Mitutoyo OPC Server maintains runtime statistics to diagnose and correct performance problems. Typically, performance problems are caused by how an OPC client application organizes and uses the resources supplied (e.g. group objects and item objects) by an OPC server.
The OPC Server maintains statistics about OPC client-server interactions. These statistics are viewable from an OPC client by reading pre-defined item IDs from GagePort Mitutoyo OPC Server.
Statistics Maintained about the OPC Client
Following are the statistics that are maintained about the OPC Client.
The number of OPC clients currently connected to the GagePort Mitutoyo OPC Server.
The number of OPC groups (for all clients) currently configured in the OPC Server.
The number of OPC item references (for all groups) currently configured in the OPC Server. The same item may appear in more than one group (or be referenced by more than one OPC client). Each reference is counted in this statistic.
Read Transactions Per Period
The number of synchronous and asynchronous read transactions performed by the OPC Server in the last sample period. A read transaction is composed of one or more items and may be a cache read or device read.
Write Transactions Per Period
The number of synchronous and asynchronous write transactions performed by the OPC Server in the last sample period. A write transaction is composed of one or more items.
Subscription Transactions Per Period
The number of client subscription updates (i.e. unsolicited updates to an OPC client) performed by the OPC Server in the last sample period. A single subscription update is composed of one or more items.
Step 2. Use GagePort Mitutoyo OPC Server Runtime Statistics.