Edge side APP simulation test system based on Internet of Things client protocol

Abstract

The invention relates to the technical field of Internet of Things testing, in particular to an edge side APP simulation testing system based on an Internet of Things client protocol. The system comprises a platform layer, an edge layer and a sensing layer; the platform layer takes a power supply master station as a core, provides safe and reliable equipment connection communication capability and supports equipment data acquisition and cloud loading, rule engine data circulation and cloud data issuing to an equipment end, and the sensing layer is mainly responsible for identifying and collecting information through sensor equipment. The edge layer is used for sensing the data sent by the layer, uniformly processing the data sent by the layer and sending the data to the platform layer, the edge layer takes the MQTT protocol function test of the fusion terminal as the core, and comprises equipment registration, equipment offline, heartbeat keep-alive, control command, parameter configuration, data acquisition and active sending detection, and the MQTT further comprises 104APP and 645 protocol function test. 104 and 645 protocol function testing is newly added, and the functions of northbound access to a distribution automation master station and data interaction between the fusion terminal and the master station, southbound access to a low-voltage intelligent switch and data interaction between the fusion terminal and the master station are tested.

Description

technical field [0001] The invention relates to the technical field of Internet of Things testing, in particular to an edge-side APP simulation testing system based on the Internet of Things client protocol. Background technique [0002] Power distribution systems usually have wide geographical distribution, various types of equipment, various network connections, and changeable operation modes. A large amount of heterogeneous and multivariate data, the amount of data is increasing exponentially. The current distribution network data has the following characteristics: 1) There are many data collections, different sampling scales at different collection points, and different data sections. Each collection point collects relatively fixed categories 2) The data is not sound, and there are errors and leakage in data collection; 3) The data is distributed in different application systems. Therefore, how to effectively collect and utilize a large amount of structured and unstruct...

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Problems solved by technology

[0002] Power distribution systems usually have wide geographical distribution, various types of equipment, various network connections, and changeable operation modes. A large amount of heterogeneous and multivariate data, the amount of data is increasing exponentially. The current distribution network data has the following characteristics: 1) There are many data collections, different sampling scales at different collection points, and different data sections. Each collection point collects relatively fixed categories 2) The data is not perfect, and there are errors and leakages in data collection; 3) The data is distributed in different application systems

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