Power grid rapid scheduling command system and method based on artificial intelligence
An artificial intelligence, dispatch command technology, applied in the field of communication, can solve the problems of cumbersome query process, low retrieval efficiency, time-consuming and other problems, achieve the effect of strong flexibility, improve work efficiency and accuracy, and improve efficiency and accuracy
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Embodiment 1
[0053] Such as figure 1 As shown, Embodiment 1 of the present disclosure provides an artificial intelligence-based fast dispatching and commanding system for power grids, including: a processor, a display module, a microphone, a sound and a phone handle; the processor includes a core data processing module, a call control module , recording retrieval module and Web management module.
[0054] The microphone is a built-in microphone of the touch display, which collects the real-time audio stream of the dispatcher, and is used for the function of voice quick calling and voice intelligent query recording function.
[0055] The sound is a built-in sound of the touch display, which is used to play the prompt signal of the processing result.
[0056] The handle of the phone is an IP phone handle, and the IP phone is used to send and receive SIP messages to meet the call requirements of the dispatcher, and is linked with the call control module.
[0057] The core data processing mo...
Embodiment 2
[0070] Such as figure 2 As shown, Embodiment 2 of the present disclosure provides a voice recognition-based quick calling method, including the following steps:
[0071] Step (1): The dispatcher uses a microphone to input the name of the site to be called out;
[0072] Step (2): After the microphone collects the voice data of the site, pass it to the artificial intelligence platform, use the voice recognition model to convert the voice data into a site name, query the number and pass it to the graphical interface module;
[0073] Step (3): The graphical interface module displays the site name and number on the touch screen according to the recognition result, and provides it to the dispatcher for confirmation. After the dispatcher confirms, it will enter step (4) if it succeeds, and repeat steps (1) to (3) if it fails. ;
[0074] Step (4): The graphic display module sends the confirmation result to the call control module for call out operation.
[0075] Collect a large am...
Embodiment 3
[0082] Such as Figure 4 As shown, Embodiment 3 of the present disclosure provides a method for fast retrieval of recordings.
[0083] Including the rapid retrieval method based on text keywords and the rapid retrieval method based on voice, it can quickly query the call data stored in the database.
[0084] A fast retrieval method based on keywords, including the following steps:
[0085] Step (1): Select keyword search on the recording search interface, input time, personnel, site name, dispatch instruction information;
[0086] Step (2): Match according to time, personnel, and site name, and return the search scope;
[0087] Step (3): matching scheduling instructions, and encoding each scheduling instruction using the word2vec model;
[0088] Step (4): Calculate the mean value m of the input scheduling instructions 1 The mean value m of the i-th data scheduling instruction i , calculate k i =m 1 -m i .
[0089] Step (5): According to k i , sort in ascending order ...
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