Biomass stock ground electrical fire early warning system based on machine learning
An electrical fire and machine learning technology, applied in electrical fire alarms, fire alarms that rely on radiation, fire alarms, etc., can solve problems such as insufficient maintenance support, no alarm, and flammable fuel. Achieve the effect of ensuring safe operation, reasonable and simple structure, and low production cost
Inactive Publication Date: 2021-02-26
国能生物发电集团有限公司 +1
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Problems solved by technology
However, the failure rate of the line temperature detector is high, and the later maintenance guarantee is not in place, and it is easy to cause the line temperature to rise without alarming
[0003] The fuel in the biomass field is flammable, and the possibility of fire caused by electrical failure is greatly increased. The above technologies cannot fully meet the fire prevention and control needs of the biomass field.
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[0032] Exemplary embodiments of the present invention will be described in detail below with reference to the accompanying drawings, wherein the same or similar reference numerals represent the same or similar elements. In addition, in the following detailed description, for purposes of explanation, numerous specific details are set forth in order to provide a comprehensive understanding of the embodiments of the present disclosure. It may be evident, however, that one or more embodiments may be practiced without these specific details. In other instances, well-known structures and devices are shown in diagrammatic form to simplify the drawings.
[0033] Such as Figure 1 to Figure 2 As shown, this specific embodiment adopts the following technical solutions: a machine learning-based electrical fire warning system for biomass field, including a mobile terminal and a management and control platform, the mobile terminal is connected to the management and control platform, and t...
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The invention discloses a biomass stock ground electrical fire early warning system based on machine learning, which comprises a mobile terminal, a control platform, an electrical fire monitoring hostand a monitoring detector, and is characterized in that the mobile terminal is connected with the control platform; the management and control platform comprises a neural network data processing module, a data storage module, a display module, a control module and an alarm module. The management and control platform is connected with an electrical fire hazard monitoring host. The electrical firehazard monitoring host is connected with a monitoring detector. The monitoring detector is connected with a current transformer, a residual current transformer and an environment temperature sensor. The electrical data information is used as input data of the neural network and is used for early warning of electrical fire caused by line temperature changes. The processed data is compared with an alarm threshold value, the state of the electrical circuit is obtained and visually presented and the page is simple and visual; therefore, the state of the electrical circuit is convenient to master,the electrical fire probability is reduced, and the electrical safety is improved.
Description
technical field [0001] The invention relates to the field of a fire monitoring system, in particular to a machine learning-based electrical fire warning system for a biomass field. Background technique [0002] The power consumption situation of biomass power plants is complicated, the working environment is harsh, and the ability of stockyard management personnel is highly required, and electrical safety hazards may occur if there is a slight omission. In the existing electrical fire monitoring technology, the invention patent "a fire monitoring power distribution cabinet system" provides an electrical fire monitoring technology for temporary construction of power distribution cabinets, and provides a special for temporary construction A method for electrical fire monitoring of distribution cabinets; the invention patent "an electric energy meter with electrical fire monitoring function" provides an electrical meter that can detect the temperature and residual current of el...
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Login to View More IPC IPC(8): G08B21/18G08B17/06G08B17/10G08B17/12G06N3/04G06F16/28
CPCG08B21/185G08B17/06G08B17/10G08B17/12G08B17/125G06N3/04G06F16/284Y02D10/00
Inventor 李军赵晶晶马保良李玉忠孙华海黄月胡宝鼎苗青韩冰王小蒙李艳杰张军周方郑宗明肖显斌覃吴
Owner 国能生物发电集团有限公司