Abstract: An airless spraying equipment includes a spray tip guard, a spray tip configured to be inserted into the spray tip guard perpendicularly to the axis of the spray tip guard, a pre-atomizing component, and a tip atomizing component. The pre-atomizing component and the tip atomizing component are connected to each other sequentially along the channel axis, in a fluid stream direction. The pre-atomizing component further includes a feeding channel, a pre-atomization channel, and at least two pre-atomization regulating channels. The feeding channel, the pre-atomization channel, and the at least two pre-atomization regulating channel are coaxial hollow channels sequentially defined and connected along the channel axis inside the pre-atomizing component.

Abstract: A low-pressure spraying equipment for atomizing a working fluid at a low-pressure, includes a spray tip body having a top and a lower end, a handle arranged on the top of the spray tip body, and a chamfer defined at the lower end of the spray tip body. The spray tip body further includes a retaining shoulder and a ring collar, a mounting hole having a channel axis, a pre-atomizing component, and a tip atomizing component. The pre-atomizing component further includes a feeding channel, a pre-atomization channel, and a pre-atomization regulating channel. The feeding channel, the pre-atomization channel, and the pre-atomization regulating channel are three coaxial hollow channels sequentially defined and connected along the channel axis inside the pre-atomizing component.

Abstract: Provided are an accurate load shedding system, and a communication method and an access apparatus thereof. The access apparatus includes: two E1 interfaces, eight optical fiber interfaces, a CPU and an FPGA. The two E1 interfaces are respectively connected to a control apparatus A and a control apparatus B of a control substation. The eight optical fiber interfaces are respectively connected to eight control terminals. The FPGA includes eight optical fiber transceivers respectively connected to the eight optical fiber interfaces through serial interfaces, and two E1 transceivers respectively connected to the two E1 interfaces through serial interfaces. Each optical fiber transceiver includes a reset submodule. Each E1 transceiver also includes a reset submodule. The CPU is connected to the FPGA through a parallel bus.

Abstract: Provided are an accurate load shedding system, and a communication method and an access apparatus thereof. The access apparatus includes: two E1 interfaces, eight optical fiber interfaces, a CPU and an FPGA. The two E1 interfaces are respectively connected to a control apparatus A and a control apparatus B of a control substation. The eight optical fiber interfaces are respectively connected to eight control terminals. The FPGA includes eight optical fiber transceivers respectively connected to the eight optical fiber interfaces through serial interfaces, and two E1 transceivers respectively connected to the two E1 interfaces through serial interfaces. Each optical fiber transceiver includes a reset submodule. Each E1 transceiver also includes a reset submodule. The CPU is connected to the FPGA through a parallel bus.

Abstract: A low-pressure spraying equipment includes a spray tip body having a top and a lower end, a handle arranged on the top of the spray tip body, and a chamfer defined at the lower end of the spray tip body. The handle further includes a spray direction indicator on a side of the handle. The spray direction indicator is designed to point to a discharge direction of the spray tip body. The spray tip body further includes a retaining shoulder and a ring collar, a mounting hole having a channel axis, a pre-atomizing component, and a tip atomizing component. The pre-atomizing component further includes a feeding channel, a pre-atomization channel, and a pre-atomization regulating channel. The feeding channel, the pre-atomization channel, and the pre-atomization regulating channel are three coaxial hollow channels sequentially defined and connected along the channel axis inside the pre-atomizing component.

Abstract: A method of power system preventive control candidate measures identification self-adaptive to external environment, which is applicable to dynamic identification of stations and power equipment under the effect of calamity, and judgment of preventive control measures that lose or restore control capability, and those for which control range or cost has changed. Automatic online identification of set of preventive control candidate measures includes two tasks: identification of stations and power equipment under the effect of calamity, and adjustment of the space of preventive control measures.

Abstract: An equipment overload successive approximation adaptive control method based on centralized real-time decisions is provided. The method estimates in real time permissible current for long-term running of equipment and continuous running time according to current and temperature actual measurement information of the equipment. Control modes are decided according to the continuous running time of the equipment instead of current. On the basis of mixed integer nonlinear programming algorithm, a target function which aims to control the total cost and minimize comprehensive indexes of proportions of load control quantities of different regions is adopted, discreteness and cost of a control measure are taken into consideration, flow restraint of an electric system is measured, a centralized optimization decision and successive approximation control strategy are adopted, coordination to real-time scheduling operation control and emergency control for overload of equipment of the electric system is realized.

Abstract: A method of power system preventive control candidate measures identification self-adaptive to external environment, which is applicable to dynamic identification of stations and power equipment under the effect of calamity, and judgment of preventive control measures that lose or restore control capability, and those for which control range or cost has changed. Automatic online identification of set of preventive control candidate measures includes two tasks: identification of stations and power equipment under the effect of calamity, and adjustment of the space of preventive control measures.