Abstract: A deep learning-based method for fusing multi-source urban energy data and a storage medium are provided to perform data fusion on multi-source urban energy data found in big data and perform multi-scale and multimodal information fusion by using a cross-modal transformer, thereby implementing cross-modal mutual fusion of multi-source heterogeneous types of data to obtain a fused feature for prediction of a quantity of energy that will be used in the future and a quantity of energy that needs to be produced. The present disclosure proposes a multi-scale cooperative multimodal transformer architecture to enhance an effect of representation learned from an unaligned multimodal sequence. Not only there is a higher degree of correlation in multi-source urban energy data fusion, but also a system becomes more lightweight.

Abstract: According to a transformer-architecture-based method and system for IoT for and smart control of urban integrated energy, urban integrated energy IoT information acquired by a terminal from different areas is output to a server after being standardized into a sequence signal, where energy demand prediction is performed through learning of a deep learning network configured on the server, a smart control network is configured and built by using the deep learning network, real-time prediction processing is performed on the urban integrated energy IoT information acquired in real time, and a result is uploaded to a workstation for reviewing. Based on the transformer architecture, the deep learning network is combined with a fast Fourier transform algorithm and inverse transform on a sequence, and an FFT-Attention mechanism is proposed. Compared with a conventional transformer architecture, frequency domain information of a sequence is given more emphasis.

Abstract: A construction method and system for asset value models in a digital twin engine includes: measuring the level of business importance based on a business model of building energy consumption assets, and constructing a first asset value model according to the business importance; establishing a correlation between the assets and productivity, and constructing a second asset value model according to productivity loss caused by the assets; and calculating the energy use efficiency of a building according to optimal decision variables, predicting the degradation index of the assets through the energy use efficiency, the first asset value model and the second asset value model, and generating a maintenance solution of the assets. The disclosed has ingenious conception and excellent effect, and realizes the accurate evaluation of the asset value by establishing the correlation between the assets and different businesses and different efficiency, generating the optimal and most accurate asset maintenance solution.

Abstract: A laser wireless power transmission device and method based on power acquisition on power line. The device includes a power transmitter and a power receiver both installed on a power transmission line. The power transmitter includes an online induction power acquisition module, a semiconductor laser, a communication module, a two-dimensional pan-tilt, a beam shaping module, a control unit, a video image module, and an IMU module. The power receiver includes a four-quadrant photovoltaic panel, a DCDC module, a wireless monitoring module, and a battery.

Abstract: A multi-user scheduling method based on reinforcement learning for 5G IoT, including: calculating the achievable rate of each user in a set according to a communication scenario model; generating an initial scheduled users set according to the achievable rate of each user; according to the achievable rate of each user and the number of times each user is scheduled, evaluating the estimated value of each user's action value under the current scheduling period by using the Q-learning method; determining the upper bound value of the confidence interval of each user's action value; determining the set of scheduled users under the current scheduling period according to the upper bound of the confidence interval of each user's action value; according to the set of scheduled users under the current scheduling period, recalculating the actual achievable rate value of each selected user under the current scheduling period.

Abstract: Disclosed are a virtual parking space establishment system and a method. The virtual parking space establishment system includes a data acquiring module, a data processing module, a parking space control module, a wireless communication module and a client; the data acquiring module is used for acquiring traffic flow data; the data processing module is used for processing and analyzing the traffic flow data; the parking space control module is used for establishing or canceling virtual parking spaces according to analysis results of the traffic flow data; the wireless communication module is used for providing a wireless network link between the client and the parking space control module; the client is used for viewing virtual parking space information.

Abstract: Disclosed are a virtual parking space establishment system and a method. The virtual parking space establishment system includes a data acquiring module, a data processing module, a parking space control module, a wireless communication module and a client; the data acquiring module is used for acquiring traffic flow data; the data processing module is used for processing and analyzing the traffic flow data; the parking space control module is used for establishing or canceling virtual parking spaces according to analysis results of the traffic flow data; the wireless communication module is used for providing a wireless network link between the client and the parking space control module; the client is used for viewing virtual parking space information.

Abstract: An SVM-based secure access method for wireless terminals. Step 1, establish a wireless network security model based on the communication scenarios of the wireless terminal and the wireless base station; establish the channel feature vectors based on the wireless network security model and the frames received by the wireless base station; Step 2, use the pre-trained SVM model to examine the channel feature vectors of the frames, determining whether the frames are legitimate signals; Step 3, determine whether the wireless terminal with at least one frame sent is a legitimate terminal based on whether at least one of the frames sent is a legitimate signal. The frames sent by the wireless terminals that access the wireless base station are examined to effectively determine legitimate terminals by improving the SVM parameter combination optimization method of differential evolution and the differential evolution method with an adaptive improvement of the control parameters.

Abstract: An SVM-based secure access method for wireless terminals. Step 1, establish a wireless network security model based on the communication scenarios of the wireless terminal and the wireless base station; establish the channel feature vectors based on the wireless network security model and the frames received by the wireless base station; Step 2, use the pre-trained SVM model to examine the channel feature vectors of the frames, determining whether the frames are legitimate signals; Step 3, determine whether the wireless terminal with at least one frame sent is a legitimate terminal based on whether at least one of the frames sent is a legitimate signal. The frames sent by the wireless terminals that access the wireless base station are examined to effectively determine legitimate terminals by improving the SVM parameter combination optimization method of differential evolution and the differential evolution method with an adaptive improvement of the control parameters.

Abstract: Disclosed are a method and apparatus for smoothing a link-line power of an electrothermal microgrid using a thermal storage heat pump cluster.

Abstract: Disclosed are a method and apparatus for smoothing a link-line power of an electrothermal microgrid using a thermal storage heat pump cluster.

Abstract: The present invention relates to a leak detection method for GIS based on vibration signals and belongs to the technical field of apparatus for detecting or reacting mechanical or electrical troubles. The method is carried out by the following steps: 1) Installing a vibration sensor on each connecting flange of each gas-tight chamber of the GIS; 2) Starting the GIS; 3) Acquiring the vibration signals of sensors when the GIS operation is stable after starting; 4) Doing de-noise processing on the collected vibration signal; 5) Doing 4-layer wavelet packet decomposition of the vibration signal after noise reduction to obtain the energy proportion of the vibration signal in each frequency band; 6) Analyzing the energy proportion of the vibration signal in each frequency band in step 5), Then alarm to notify the relevant personnel. Return to step 3) until the fault has been solved.

Abstract: The noise suppression method of individual active noise reduction system comprises the steps that: (1) initial noise digital signals are received and converted to serve as input signals of a BP neural network; (2) the input signals are processed to generate secondary digital signals; (3) the secondary digital signals are output to a loudspeaker and secondary noise is generated; (4) remained noise digital signals obtained by overlapping the initial noise and the secondary noise are received; whether remained noise digital signals is continuously constant for the set times is judged; if yes, the secondary digital signals are kept outputting; (5) if not, BP neural network parameters are optimized and adjusted with the amplitude of the remained noise digital signals being minimum as the optimality principle; remained noise digital signals of previous step are served as new input signals and the step (2) is executed again.

Abstract: The noise suppression method of individual active noise reduction system comprises the steps that: (1) initial noise digital signals are received and converted to serve as input signals of a BP neural network; (2) the input signals are processed to generate secondary digital signals; (3) the secondary digital signals are output to a loudspeaker and secondary noise is generated; (4) remained noise digital signals obtained by overlapping the initial noise and the secondary noise are received; whether remained noise digital signals is continuously constant for the set times is judged; if yes, the secondary digital signals are kept outputting; (5) if not, BP neural network parameters are optimized and adjusted with the amplitude of the remained noise digital signals being minimum as the optimality principle; remained noise digital signals of previous step are served as new input signals and the step (2) is executed again.

Abstract: The present invention relates to a leak detection method for GIS based on vibration signals and belongs to the technical field of apparatus for detecting or reacting mechanical or electrical troubles. The method is carried out by the following steps: 1) Installing a vibration sensor on each connecting flange of each gas-tight chamber of the GIS; 2) Starting the GIS; 3) Acquiring the vibration signals of sensors when the GIS operation is stable after starting; 4) Doing de-noise processing on the collected vibration signal; 5) Doing 4-layer wavelet packet decomposition of the vibration signal after noise reduction to obtain the energy proportion of the vibration signal in each frequency band; 6) Analyzing the energy proportion of the vibration signal in each frequency band in step 5), Then alarm to notify the relevant personnel. Return to step 3) until the fault has been solved.