A control method for a single-phase liquid crystal ammeter that prevents electricity theft

Abstract

The invention discloses a single-phase liquid crystal ammeter capable of avoiding electricity stealing. The single-phase liquid crystal ammeter comprises a meter shell, a live wire and null wire wiring hole for accessing an electric supply, a microprocessor mounted in the meter shell, and a power supply module, a clock module, a storage module, an electric parameter comprehensive detection module, a display module and a commutation module which are connected with the microprocessor. The single-phase liquid crystal ammeter is characterized in that a shielding cover is arranged in the meter shell; the power supply module, the clock module, the storage module, the electric parameter comprehensive detection module and the display module are mounted in the shielding cover; the commutation module is located outside the shielding cover and inside the meter shell; the single-phase liquid crystal ammeter further comprises a self-detection module which comprises a digital control analogue switch connected between a live wire and a null wire in parallel and a testing resistor connected with the digital control analogue switch in series; and a signal end of the digital control analogue switch is connected with the microprocessor. The single-phase liquid crystal ammeter has the advantages of high anti-interference performance, capability of automatically judging electricity stealing or self faults, capability of automatically alarming when abnormal conditions occur, and capability of enhancing the judgment intensity through stress self-detection and initiative self-detection so as to avoid the electricity stealing.

Description

technical field [0001] The invention and the field of electrical appliances, in particular, relate to a single-phase liquid crystal ammeter and a control method thereof that prevent electricity theft. Background technique [0002] With the development of the economy, the traditional grid must develop into a smart grid, which puts forward higher requirements for the interface capabilities, communication capabilities, and data processing capabilities of power supporting facilities and equipment. As the most important part of power metering, the traditional inductive energy meter is far from meeting the needs of the entire society and economic development. [0003] Based on the development of basic technology, electronic energy meters have gradually replaced inductive energy meters. In order to further meet the needs of production development, the State Grid has promulgated design standards for smart energy meters. Energy meter companies across the country will design a smart e...

AI Technical Summary

Problems solved by technology

[0005] However, it cannot be ignored that since the invention of electric meters, electricity stealing and anti-stealing technologies have been constantly competing and developing. At present, the low-level stealing of most criminals has been basically eliminated through digital electric meters and one meter per household. However, high-level stealing behaviors are still repeatedly prohibited, and because of the confidence brought by digital meters to the power sector and the large reduction in meter reading employees, on-site monitoring has been greatly reduced. Once the stealing is discovered, the new technology can escape the existing LCD meters. For example, the meter controller interferes with the meter index through the oscillating circuit, steals electricity in various ways before entering the meter, and uses abnormal electricity consumption at home to interfere with the meter and other methods of stealing electricity. extend

[0006] The current liquid crystal digital meters are not anti-interference or have weak anti-interference ability, and the oscillating current can be generated by the meter controller to interfere with the meter; secondly, it is usually only possible to record and send the voltage and current curves to the server, through manual monitoring or software analysis. However, there are tens of thousands of electricity users in any area, and it is impossible to use manual monitoring to find out; software analysis is used because the possibility of abnormal curves is not only stealing electricity, but often misjudgment, causing dispatch A lot of manpower is wasted in on-site monitoring, and we can only take partial spot checks among a large number of abnormalities, or improve the fault tolerance rate, artificially construct logic, and screen out those that are not like stealing electricity, but will cause a large number of stealing behaviors to take advantage of

Therefore, the stealing phenomenon has not been completely overcome.