Intelligent monitoring method and system for indoor inspection service quality

Abstract

The invention provides an intelligent monitoring method and system for indoor inspection service quality, and the method comprises the steps of collecting the original data of an inspection track through a sensor of a mobile phone without depending on an external network and during a business operation process; through the data conversion and the feature mapping, mapping the data to a new feature space, so that the network and communication problems of a hospital in machine room and basement inspection are solved. The data acquisition, storage and processing are realized through a big data mode to form a business sample library, aiming at the virtual track of the specific service, the data clustering is carried out and a standard track model library of the service is established, and a basis is formed for the subsequent service judgment. After the specific single service is completed, the service quality analysis is automatically carried out in time, and when the data of the service is mapped to the virtual track space and is greatly different from the standard model, an alarm is automatically given in the system, and the service is monitored.

Description

technical field [0001] The invention relates to an indoor inspection intelligent monitoring method and system, belonging to the technical field of intelligent monitoring. Background technique [0002] The standardized execution of patrol inspection is crucial to the safety of logistics. However, the quality and availability of manual inspections cannot be guaranteed at present. Traditional inspection records are prone to false signatures, supplementary signatures, or multiple signatures at one time, which brings hidden dangers to logistics security. [0003] Among them, the logistics services of hospitals and parks are mostly concentrated indoors or even in the basement, and the range of movement is small. The existing direct positioning using the network (GPS, WiFi or Bluetooth) has problems such as no signal, new equipment or insufficient accuracy; patrol inspection , maintenance and other logistics services, because it is impossible to know the actual investment of pers...

AI Technical Summary

Problems solved by technology

However, the quality of manual inspections and the availability of personnel cannot be guaranteed

Traditional inspection records are prone to counterfeit signatures, supplementary signatures, or multiple signatures at one time, which brings hidden dangers to logistics security

[0003] Among them, the logistics services of hospitals and parks are mostly concentrated indoors or even in the basement, and the range of movement is small. The existing direct positioning using the network (GPS, WiFi or Bluetooth) has problems such as no signal, new equipment or insufficient accuracy; patrol inspection , maintenance and other logistics services, because it is impossible to know the actual investment of personnel, and there is no way to provide objective and quantitative data for service evaluation or efficiency improvement of personnel; traditional random inspection and supervision by management personnel is costly, inefficient, and difficult to achieve Comprehensive coverage, service quality cannot be guaranteed for a long time

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