Recently, a novel structures of reconfigurable intelligent surface (RIS) integrating both passive and active elements, termed reconfigurable intelligent sensing surface (RISS), efficiently addresses challenges in RIS channel estimation and mitigates issues related to multiplicative path loss by processing the signal at the RISS. In this paper, we propose a sensing-assisted wirelessly powered communication network (WPCN) that utilizes RISS's sensing capabilities to maximize the channel capacity in uplink wireless information transfer (WIT) and assist in massive wireless energy transmission (WET) for downlink. For the WIT in the uplink, the sensing information is utilized to design an interference suppression passive reflection phase shift for the RISS, and take the imperfect sensing results and sharp null into consideration, we also propose a robust scheme. For the WET in the downlink, the massive WET scheme is adopted and benefits from a period of sensing results. The massive WET scheme including beam selection and rotation order optimization to enhance the lower bound of energy harvest for massive users and optimize waiting costs. Numerical results demonstrate the optimal interference suppression threshold for uplink WIT and underscore the achieved fairness in downlink WET. Collectively, by utilizing sensing information, the uplink channel capacity is improved by 20\%, and the worst energy performance and waiting costs for massive WET are effectively optimized, with improvements ranging from 19\% to 59\% and 27\% to 29\%, respectively.