Abstract: Embodiments of the present application provide a prediction method, device and system for rock mass instability stages, and belong to the technical field of rock mass instability prediction. The method includes the steps: acquiring acoustic emission signals of rock mass; extracting feature parameters from the acquired acoustic emission signals; and predicting instability stages of the rock mass in accordance with the feature parameters and a preset back propagation (BP) neural network model, wherein the preset BP neural network model is obtained by training a BP neural network and a genetic algorithm by virtue of the feature parameters of the acoustic emission signals at different rock mass instability stages. According to the technical solution in the present application, the problem in the training process of the BP neural network model that model parameter optimization may be easily trapped in a locally optimal solution is effectively solved.

Abstract: Provided is a thermoplastic composite, a method for preparing a thermoplastic composite, and an injection-molded product. The thermoplastic composite comprises 35-75% by weight of a thermoplastic resin, 5-45% by weight of a non-cellulosic organic fiber, and 5-20%) by weight of hollow glass microspheres, based on 100% by weight of the total weight of the thermoplastic composite.

Abstract: A system (100) for monitoring a temperature of an electrical conductor of an electrical cable and including a temperature sensor unit (100a) and a transceiver unit (100b). The temperature sensor unit (100a) is located inside the first (semi)conductive layer and includes a micro-controller (120), a temperature sensor (110), an energy harvest sub-unit (140) and a wireless transmitter layer (130). The temperature sensor (110) is adapted to detect a first signal (S1) representing temperature of the electrical conductor and to supply the first signal (S1) to the micro-controller (120). The transceiver unit (100b) is located outside the first (semi)conductive layer and includes an energy transmitter (160) and a wireless receiver (150). The energy harvest sub-unit (140) is adapted to harvest electromagnetic power from the energy transmitter (160) and to provide electrical power to the micro-controller (120).

Abstract: A system for monitoring temperature of an electrical conductor (31) enclosed in at least a (semi)conductive layer (13) comprising: a passive inductive unit (20), and a transceiver unit (40) and a control unit (50). The passive inductive unit (20) includes at least one temperature sensitive component and is configured to have a resonance frequency and/or Q value that vary with temperature of the electrical conductor (31). The transceiver unit (40) is configured to be electromagnetically coupled to the passive inductive unit (20) and to send out a signal representing the resonance frequency and/or Q value of the passive inductive unit (20). The transceiver unit (40) is further configured to communicate with the control unit (50) which ascertains the signal representing one or both of the resonance frequency and Q value, and which determines a value of the temperature of the electrical conductor (31) based on the ascertained signal representing one or both of the resonance frequency and Q value.

Abstract: Systems and methods for directly sensing, measuring, or monitoring the temperature of an electrical conductor (31) of a power cable (10), are provided. A surface acoustic wave (SAW) temperature sensor (20) is used that includes a substrate (20S) with a transducer (20T) disposed thereon. The transducer (20T) conducts conversion between an electromagnetic signal and a SAW signal that propagates on the substrate (20S). At least a portion of the substrate (20S) is disposed in thermal contact with the electrical conductor (31) such that the SAW signal varies with the temperature of the electrical conductor (31).

Abstract: Provided is a thermoplastic composite, a method for preparing a thermoplastic composite, and an injection-molded product. The thermoplastic composite comprises 35-75% by weight of a thermoplastic resin, 5-45% by weight of a non-cellulosic organic fiber, and 5-20%) by weight of hollow glass microspheres, based on 100% by weight of the total weight of the thermoplastic composite.

Abstract: A system (100) for monitoring a temperature of an electrical conductor of an electrical cable and including a temperature sensor unit (100a) and a transceiver unit (100b). The temperature sensor unit (100a) is located inside the first (semi)conductive layer and includes a micro-controller (120), a temperature sensor (110), an energy harvest sub-unit (140) and a wireless transmitter layer (130). The temperature sensor (110) is adapted to detect a first signal (S1) representing temperature of the electrical conductor and to supply the first signal (S1) to the micro-controller (120). The transceiver unit (100b) is located outside the first (semi)conductive layer and includes an energy transmitter (160) and a wireless receiver (150). The energy harvest sub-unit (140) is adapted to harvest electromagnetic power from the energy transmitter (160) and to provide electrical power to the micro-controller (120).