Abstract: The present invention discloses a method of preparing an alkali activation material by using red mud-based wet grinding and carbon sequestration and an application thereof. The preparation method includes: (1) adding water, red mud, a crystalline control agent, and a grinding aid into a wet grinding carbon sequestration apparatus to perform wet grinding, and simultaneously introducing CO2 until a slurry pH reaches 7 to 7.5; and removing wet grinding balls by a sieve to obtain a slurry A; (2) adding carbide slag, water and a water reducer to a wet planetary ball grinder tank for wet grinding, and removing wet grinding balls by a sieve to obtain a slurry B; (3) taking 50 to 80 parts of the slurry A and 20 to 50 parts of the slurry B and mixing them to obtain an alkali activation material.

Abstract: Disclosed is a control method for controlling data return in a passive sensor network comprising an aggregation node and sensor nodes. The control method comprises the following steps: controlling the aggregation node to broadcast energy to the entire passive sensor network; controlling the sensor nodes to collect the energy broadcast by the aggregation node; clustering, according to a predetermined clustering rule, the sensor nodes and selecting cluster heads; and controlling each of the sensor nodes of each cluster to transmit data to a corresponding cluster head and then to the aggregation node or one of the sensor nodes of a cluster closer to the aggregation node so as to eventually transmit the data to the aggregation node and closing the sensor node that completes data transmission. In addition, a control device is also disclosed.

Abstract: Disclosed is a control method for controlling data return and energy optimization in a passive sensor network. The passive sensor network comprises an aggregation node and sensor nodes. The control method comprises an energy calculating step, an energy broadcasting step, an energy collecting step, a clustering step and a data transmitting step. By means of the control method in the embodiments of the present disclosure, data return and energy optimization in a passive sensor network are controlled, so that insofar as all sensor nodes can return data to an aggregation node, the aggregation node consumes the least amount of energy, thereby achieving the optimal energy usage efficiency. Also disclosed is a control device.

Abstract: Disclosed is a control method for controlling data return and energy optimization in a passive sensor network. The passive sensor network comprises an aggregation node and sensor nodes. The control method comprises an energy calculating step, an energy broadcasting step, an energy collecting step, a clustering step and a data transmitting step. By means of the control method in the embodiments of the present disclosure, data return and energy optimization in a passive sensor network are controlled, so that insofar as all sensor nodes can return data to an aggregation node, the aggregation node consumes the least amount of energy, thereby achieving the optimal energy usage efficiency. Also disclosed is a control device.

Abstract: Disclosed is a control method for controlling data return in a passive sensor network comprising an aggregation node and sensor nodes. The control method comprises the following steps: controlling the aggregation node to broadcast energy to the entire passive sensor network; controlling the sensor nodes to collect the energy broadcast by the aggregation node; clustering, according to a predetermined clustering rule, the sensor nodes and selecting cluster heads; and controlling each of the sensor nodes of each cluster to transmit data to a corresponding cluster head and then to the aggregation node or one of the sensor nodes of a cluster closer to the aggregation node so as to eventually transmit the data to the aggregation node and closing the sensor node that completes data transmission. In addition, a control device is also disclosed.