Task allocation method based on crowd sensing

Abstract

The invention relates to a task allocation method based on crowd sensing. The task allocation method comprises the following steps: processing a work order by generating the work order related to a task and data obtained based on crowd sensing, screening out employees meeting conditions, and distributing the work order; and if the work order is responded within the preset time, ending task allocation corresponding to the current work order, and otherwise, judging whether secondary order allocation is needed or not, and starting a processing mechanism. According to the method, task allocation can be efficiently and accurately performed, the defects of long task allocation time and inaccurate task allocation of traditional community manual management are overcome, the task allocation requirement of the smart community is met, tasks are reasonably allocated, the labor cost is greatly reduced, and the task allocation efficiency and accuracy are improved.

Description

technical field [0001] The present invention relates to resource, workflow, personnel or project management, such as organizing, planning, dispatching or allocating time, personnel or machine resources; enterprise planning; the technical field of organizational model, and particularly relates to a task assignment method based on group intelligence sensing. Background technique [0002] In the current management of smart communities, managers often need to manually assign a large number of complex tasks, which not only consumes a lot of manpower, but also has problems such as untimely task allocation, low task allocation efficiency, lack of rationality in task allocation, and optimal use of resources. Insufficient level and many other shortcomings. [0003] Specifically, situations that may arise include but are not limited to: [0004] 1. Dispatch orders to inappropriate employees, so they need to be reassigned, and the efficiency of task assignment is greatly reduced; [...

AI Technical Summary

Problems solved by technology

[0007] The present invention solves the problem in the prior art that it takes a long time and high cost to assign tasks manually in the traditional community, which causes the community property company to consume a lot of manpower and material resources, and provides an optimized task assignment based on group intelligence perception Method, through the employee star update mechanism and task allocation process, the task allocation of the smart community can be more efficient and accurate

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