3results about How to "Predictive" patented technology

The invention provides a method for preparing an excited admixture from circulating fluidized bed ash, and belongs to the field of waste resourceful treatment. The method comprises the following steps: respectively detecting the raw materials to obtain the mass percentage contents of activated aluminum oxide and sulfur trioxide in the raw materials; the raw materials comprise circulating fluidized bed ash, cement, a conditioning agent and an exciting agent; the raw materials and the retarder are mixed to obtain the excited admixture. In the invention, the cement and the exciting agent can excite the CFB ash to form more chemical active substances and provide stable physical strength, the hardening and tempering agent can further improve the application performance of the excited admixture, and the retarder can change the setting time of the excited admixture. According to the method, the raw materials are detected respectively, the mass percentage content of the activated aluminum oxide and the mass percentage content of the sulfur trioxide in the raw materials are obtained, the adding amount of the exciting agent is evaluated according to the reaction requirement of the activated aluminum oxide and the sulfate, quantification and scientization are achieved, and meanwhile anticipation is achieved, especially long-term performance anticipation is achieved.

The invention belongs to the technical field of safety of energetic materials, and particularly discloses a method for determining a thermal-mechanical coupling ignition threshold value of an energetic material, which comprises the following steps: firstly, heating an energetic material sample to a preset specific temperature, simulating a possible thermal environment of the energetic material sample, and then immediately carrying out an impact sensitivity test at the temperature to determine the thermal-mechanical coupling ignition threshold value of the energetic material. And thus, a safety threshold closer to an actual risk scene is obtained. According to the determination method, the safety threshold closer to the actual risk scene can be obtained, and the method has the characteristics of comprehensive evaluation and accurate and reliable test result.

This invention discloses a fault diagnosis system for rotating equipment based on a large language model, aiming to improve the accuracy and efficiency of fault diagnosis for industrial rotating equipment. The system consists of six parts: data collection, data preprocessing, a neural network model, a time-series label knowledge base, a large language model, and a user unit. The system can not only detect faults in real time but also enable interaction through the user unit, allowing for analysis and prediction of the rotating equipment's operating status based on user needs. The system optimizes input through data preprocessing techniques and enhances the large language model using a time-series label knowledge base. Based on this, and combining equipment operating data, historical records, and neural network diagnostic results, the large language model can accurately identify potential faults and generate actionable maintenance suggestions, thereby significantly improving equipment reliability and the safety of industrial production.