Leakage detection system and method

Abstract

The invention provides an electric leakage detecting terminal, system, and method. The electric leakage detecting terminal comprises a circuit hitching port, an electric leakage detecting module, and a data transmission module. The electric leakage detecting system comprises the above electric leakage detecting terminal, a concentrator used for receiving electric leakage data of each node detected and uploaded by the electric leakage detecting terminal and forwarding the electric leakage data to a server, and a host computer for analyzing and processing received electric leakage data of each node. The electric leakage detecting terminals are temporarily hitched to various conventional electric leakage protection points of a power grid so as to form an electric leakage detecting system in cooperation with the concentrator and the host computer and monitor the electric leakage cases of each node in real time. In the same distribution room, the electric leakage data of each node is firstly transmitted to the concentrator in a wired or wireless manner and then is uploaded to the host computer. The host computer may correctly determine the electric leakage safety of a bench transformer by analyzing all electric leakage data within a measured time segment. When a fault happens, an electric leakage position and an electric leakage degree can be accurately determined such that fast and effective fault elimination is facilitated.

Description

technical field [0001] The invention relates to the technical field of leakage detection, in particular to a leakage detection system and method. Background technique [0002] In the low-voltage 380 / 220V three-phase four-system power supply system, each branch line and residential households are generally equipped with leakage protection switches, such as figure 1 shown. Due to the aging of the line or unauthorized use, leakage often occurs, and the leakage protection switch often trips, and the fault point of the leakage cannot be eliminated in time and accurately, which directly affects the household electricity. For this reason, many users remove the leakage protection switch and replace it with a knife switch or an air switch. In this way, when the leakage current reaches a certain value, the leakage protection switch of the upper level will trip, and even the secondary main switch of the transformer will trip. In view of this problem, in order to strictly distinguish...

AI Technical Summary

Problems solved by technology

[0004] The common shortcomings of the above two methods are: the leakage data is isolated, there is no unified collection of three-level leakage data, the correlation relationship of leakage data cannot be analyzed, and the problem cannot be solved systematically; technically, only leakage data measurement technology is available , limited to the structure of the hand-held device and the electric meter, which cannot adapt to the actual complex use environment in structure; the leakage measurement of the electric meter is limited to the leakage measurement of the third level of electricity consumption, and is fixed installation, cannot be moved, technically also There are limitations

[0006] 1. On-site detection by staff is required. After the fault occurs (after the protection switch), the on-site personnel cannot judge which level the fault occurred at. It needs to be powered on step by step to gradually detect the level at which the fault occurs, which point is the source of the fault, and the workload Huge power consumption risk with original failure recurrence

[0007] 2. If the wiring is complicated on site, it will increase the safety risk of the staff

[0008] 3. If there are multiple leakage locations, and leakage faults occur in different time periods and when different electrical appliances are working, the fault judgment needs repeated inspections, and sometimes multiple people may be required to dispatch

[0009] 4. It can only manually record the fault phenomenon, location and time, which is easy to cause mistakes, and cannot automatically record the corresponding fault location and fault parameters

[0010] 5. It is impossible to capture the real leakage current value when a fault occurs, and cannot provide a basis for fault prevention

[0011] 6. The data measured by the hand-held leakage tester cannot be aggregated into big data, and the information correlation is not strong, so it is impossible to maximize the use of measurement results for cloud computing analysis

[0013] 1. The existing smart energy meter is not equipped with a data interface that can receive the response protection / detection of the leakage protection device. If the leakage detection function needs to be added on the installation site, the existing smart energy meter needs to re-establish the standard and replace it all, and the cost is very high.

[0014] 2. Leakage faults have different situations in different areas and conditions of use, not all areas have this phenomenon

Replacing all the smart energy meters with leakage monitoring function will cause huge waste of capital and engineering installation manpower

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