Abstract: A Streptococcus suis (S. suis) vaccine is provided. For the S. suis vaccine, an antigen is a protein with an amino acid sequence shown in SEQ ID NO: 2. A preparation method of the S. suis vaccine is provided, including the following steps: mixing a white oil and aluminum stearate to obtain a white oil adjuvant; adding poly sorbate 80 to an aqueous solution of the protein with the amino acid sequence shown in SEQ ID NO: 2, and thoroughly mixing to obtain an antigen solution; and mixing the antigen solution with the white oil adjuvant according to a volume ratio of (0.5-1.5):2, and emulsifying to obtain the S. suis vaccine. An animal immunized with the S. suis vaccine of the present disclosure can effectively resist the attack of S. suis serotype 2, 3, and 31, with a vaccine protection rate as high as 100%.

Abstract: An automatic and intelligent spraying device for traffic marking intelligent. The spraying device for traffic marking includes a fixed bottom plate, a coating storage tank, a control box provided with a controller, an armrest, a row of nozzles, a speed sensor, and a driving motor. The coating storage tank is connected with coating pipes equipped with an electromagnetic valve. The fixed bottom plate is provided with a driving motor and rotating wheels. The driving motor drives the rotating wheels to move. The speed sensor is electrically connected with the controller and the driving motor. The controller controls a speed of the driving motor according to speed information detected by the speed sensor. The controller controls the driving motor, and controls the row of nozzles to spray according to a preset spray marking and spray pattern through the electromagnetic valve.

Abstract: Disclosed is a method for short-term traffic risk prediction of road sections by using roadside observation data.

Abstract: The invention discloses a method for identifying a road risk based on a networked vehicle-mounted ADAS, including a construction of a road risk classification system and regional road risk identification, and the following steps: step S1: collecting networked ADAS sensing data, extracting time-to-collision, and braking deceleration; step S2: establishing two-dimensional comprehensive risk indicators, performing clustering, and building a road risk classification system based on clustering results; step S3: establishing a scoring system; step S4: selecting regional roads, divide the regional roads into different sections, and obtaining the two-dimensional comprehensive risk indicators corresponding to each section; step S5: matching the two-dimensional comprehensive risk indicators section with the road risk grade classification system to obtain the frequency of different road risk grades for each road section; step S6: combining with the scoring system.

Abstract: This application provides an intelligent two-dimensional traffic marking spraying device, to reduce the construction amount of workers, improve the construction quality and the work efficiency. The intelligent two-dimensional traffic marking spraying device includes a baseplate, a coating storage tank, a control box, a armrest, a row of nozzles, a speed sensor, a drive motor and four rotary shafts. When spraying traffic marking, the builders first select the marking, then set the next base point, and turn on the main switch. The coating contained in the coating storage box enters into the nozzle and sprays out. Meanwhile, the solenoid valve opens and closes at the corresponding position through the feedback information of the speed sensor and the control of the controller, so as to achieve the purpose of spraying two-dimensional traffic marking.