An AI-driven wireless lubricator remote control system, comprising:
- a plurality of grease injection lubrication devices, each said grease injection lubrication device comprising a central control processing unit, a grease injection lubrication unit connected to said central control processing unit and used to output a lubricant, a parameter setting unit connected to said central control processing unit and used to set grease injection parameters, an operating status information unit connected to said central control processing unit and used to store various operating status information, a detection unit provided with a plurality of sensors with different types of functions and connected to said central control processing unit and used to detect the operating status information and the remaining oil volume information of said grease injection lubrication devices and regularly transmit the operating status information and the remaining oil volume information of said grease injection lubrication devices back to said central control processing unit, a warning unit connected to said central control processing unit, said warning unit having at least one preset warning value and being used to issue a corresponding warning notification if it is determined that any one of said at least one preset warning value is exceeded, a wireless communication unit connected to said central control processing unit, said grease injection lubrication device being connected to a network through said wireless communication unit to receive or transmit instructions or information, and a remaining oil volume information unit connected to said central control processing unit and used to record the remaining oil volume information;
- a cloud server host connected to the said wireless communication units of said grease injection lubrication devices through the network, said cloud server host independently calculating a corresponding lubrication maintenance specification based on a bearing specification of an application equipment and application environmental condition information, said parameter setting unit performing a grease injection parameter setting according to said lubrication maintenance specification, wherein different types of application equipment have different lubrication maintenance specifications;
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- an artificial intelligence (AI) system connected to said cloud server host, said artificial intelligence (AI) system being used to regularly receive various data of the application equipment through said grease injection lubrication devices to adjust the grease injection parameter settings recommended by said lubrication maintenance specification in said cloud server host and continue to detect and obtain various data of said application equipment after setting the new grease injection parameter settings on said grease injection lubrication devices, and use this cycle of training, learning and adjustment to achieve optimal settings, so that the cycle of training, learning and adjustment is used to achieve optimal settings, wherein each said grease injection lubrication device regularly reports the operating status information, the remaining oil volume information and the warning notification to said cloud server host.