CG cloud collaboration system and method

Abstract

The invention discloses a CG cloud collaboration system. The system includes a task distribution terminal, a data center connected with the task distribution terminal, and a task receiving terminal database and task receiving terminals which are each connected with the data center; the data center includes a data analysis module, a task distribution module, a task monitoring module and a task evaluation module. The invention further discloses a CG cloud collaboration method. According to the system and the method, by evaluating the task receiving terminals, the creditworthiness of the task receiving terminals is ensured; by analyzing task demands, the appropriate task receiving terminals are accurately selected; by setting up a project team, collaborative communication among all the task receiving terminals is solved; the task progress of the task receiving terminals is monitored in real time, and sent to the task distribution terminal.

Description

technical field [0001] The invention relates to the technical field of task management, in particular to a CG cloud collaboration system and method. Background technique [0002] With the rapid development of the CG industry today, designer resources are scattered all over the world, unable to make good use of each other's strengths, coordinate resources of all parties, improve the level of CG production, reduce production time, and give full play to each design. teacher's ability. Similar task release platforms on the market are immature, the data analysis system is not perfect, and it is not systematic enough. It lacks good professional integrity system management, and the system has a single form and does not cover the entire process of CG production. [0003] The existing task management method uses the task issuer to release directly and push it directly to the task receiver, and then the task receiver selects the task. This method casts a wide net and cannot accuratel...

AI Technical Summary

Problems solved by technology

[0002] With the rapid development of the CG industry today, designer resources are scattered all over the world, unable to make good use of each other's strengths, coordinate resources of all parties, improve the level of CG production, reduce production time, and give full play to each design. teacher's talent

The similar task release platforms on the market are immature, the data analysis system is not perfect, and it is not systematic enough, it lacks good professional integrity system management, the system form is single, and it does not cover the entire process of CG production

[0003] The existing task management method uses the task issuer to release directly and push it directly to the task receiver, and then the task receiver selects the task. This method casts a wide net and cannot accurately select the appropriate task receiver for the task issuer. ; Moreover, the reputation of the task receiving end found by the wide casting network cannot be guaranteed, which may easily cause information leakage; further, the task issuing end cannot monitor the completion progress of the task receiving end found by the wide spreading net; The task receivers found by casting the net communicate and cooperate with the task issuer independently, but a task has multiple modules, and each module may be completed by a different task receiver, and the cooperation and communication between the task receivers is poor.

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