4results about How to "Improve information processing ability" patented technology

The application belongs to the technical field of sensors and relates to a signal processing method and device, a storage medium and a vehicle. The method comprises the following steps: processing a first received signal to determine first time domain data; performing filtering processing on the first time domain data by using a mismatch filter to obtain first distance spectrum data; obtaining first distance detection data according to the first distance spectrum data; and determining second detection data according to the first distance detection data and first detection data obtained from the first received signal. According to the signal processing method, the accuracy of detecting the first received signal can be improved, the advanced driver assistance system (ADAS) capability of a terminal in automatic driving or auxiliary driving can be improved, the method can be used for target detection and tracking in auxiliary driving and automatic driving, and the method can be applied to vehicle networking, such as vehicle external connection (V2X), inter-vehicle communication long term evolution (LTE-V), vehicle-to-vehicle (V2V) and the like.

The invention discloses an ultrasonic imaging system and electronic equipment. The ultrasonic imaging system comprises the electronic equipment and an ultrasonic probe. The electronic device is configured to support simultaneous starting of a first communication connection and a second communication connection, and the first communication connection is used for performing first data transmission between the electronic device and an ultrasonic probe, so that the electronic device obtains scanning data of a scanning object of the ultrasonic probe. The second communication connection is used for the electronic equipment to transmit the scanning data to equipment or a system in the first network; wherein the first communication connection is established by a Wi-Fi module in the electronic equipment and a Wi-Fi module in the ultrasonic probe based on a Wi-Fi Direct mode; and / or, the second communication connection is established between the electronic equipment and the first AP by the Wi-Fi module in the electronic equipment in the STA mode, and the electronic equipment accesses the first network through the first AP.

This invention relates to the field of power generation coordination control technology, specifically to a method, apparatus, and equipment for coordinated control of complementary combined power generation. The method involves acquiring operational data of the complementary combined power generation system; formulating a complementary coordinated control strategy based on the system's operational constraints and energy balance objectives; constructing a multi-channel fuzzy pulse neural network computational model with polarity and promoters to formally represent and execute the strategy according to the coordinated control strategy; inputting current operational data into the constructed multi-channel fuzzy pulse neural network computational model to trigger corresponding neurons and pulse transmission rules for computational evolution; and parsing the final output of the multi-channel fuzzy pulse neural network computational model to generate specific control commands for energy storage devices, controllable power generation devices, and grid interaction, thereby achieving dynamic power balance and stable operation of the complementary combined power generation system. This method provides more reliable and flexible energy coordination control for the complementary combined power generation of distributed photovoltaic and cascaded small hydropower.

The invention provides a fast moving consumer goods insurance supply and emergency system under major emergencies, and relates to the technical field of product supply. The system comprises an interview data collection module, a data collection module, a data textualization processing module and a data analysis processing module. Through collection and textualization processing of interview data and public data, NVivo 11 is utilized to disrupt the data, and finally data analysis processing is performed through a rooting theory to obtain an influence factor model for fast moving consumer goods insurance supply and emergency. The system aims to solve the problems of insufficient emergency plans, imperfect information systems, insufficient supply chain elasticity, fragile logistics systems, poor human resource management, insufficient safety guarantee and the like of fast moving consumer goods supply chains in emergencies. The emergency response capability, the information processing capability, the supply chain elasticity, the logistics allocation capability and the safety guarantee level in emergencies are improved, and stable supply and timely response of fast moving consumer goods in emergencies are ensured.