摘要:
A method of removing nitrogen and phosphorus from waste water by using an activated sludge including aerobic bacteria is disclosed. The waste water is fed continuously and gradually into a treatment basin in which the sludge is contained so that a mixed liquor consisting of the waste water and the sludge is formed therein. A cycle consisting of an agitating step and an aerating step is repeated at least two times and each cycle is finished within two hours, with the ratio of the agitating time to the aerating time being between one to one and to one. In the agitating step, the mixed liquor presents an anoxic condition and a succeeding anaerobic condition. Denitrification occurs in the anoxic condition and the aerobic bacteria release phosphorus in the anaerobic condition. During the aerating step, nitrification is caused while the bacteria excessively ingest phosphorus from the mixed liquor.
摘要:
A manufacturing instruction evaluation support system includes a data reading part that reads a manufacturing instruction parameter group and manufacturing performance data corresponding thereto, a parameter sorting part that calculates a risk rate for each manufacturing instruction parameter configuring the manufacturing instruction parameter group and an average value of risk rates among the manufacturing instruction parameters to identify as available choices the manufacturing instruction parameters having the risk rates no greater than the average value, a parameter identifying part that calculates an explanatory variable selection reference value for the manufacturing instruction parameter group and the manufacturing instruction parameters of the available choices with the multiple regression analysis program to identify the manufacturing instruction parameter group or the manufacturing instruction parameters of the available choices having the greater calculated explanatory variable selection reference value as optimum parameters, and a regression equation calculating part that calculates and displays a regression equation when employing the optimum parameters with the multiple regression analysis program.
摘要:
The present invention is concerned with an intermittent aeration type biological treatment process and system, wherein waste water is caused to flow into an aeration tank, and aeration is repeatedly stopped and started in the aeration tank to treat the waste water. Concentration values of dissolved oxygen during aeration of the waste water in the aeration tank are continuously measured by a dissolved oxygen concentration measuring device provided in the aeration tank. Deficient values of dissolved oxygen and dissolved oxygen variation values at predetermined time intervals are calculated from the values thus measured. The deficient values and variation values are integrated and processed by an oxygen requirement value calculating-integrating operation unit to calculate an oxygen requirement value for the activated sludge in the current aeration step. The necessary aeration time duration for the succeeding step is obtained from the value of this oxygen requirement value, to thereby control the operating time duration of the aeration device. By use of the process and the system, wasteful operating energy can be eliminated and satisfactory treated water can be constantly obtained.
摘要:
A manufacturing instruction evaluation support system includes a data reading part that reads a manufacturing instruction parameter group and manufacturing performance data corresponding thereto, a parameter sorting part that calculates a risk rate for each manufacturing instruction parameter configuring the manufacturing instruction parameter group and an average value of risk rates among the manufacturing instruction parameters to identify as available choices the manufacturing instruction parameters having the risk rates no greater than the average value, a parameter identifying part that calculates an explanatory variable selection reference value for the manufacturing instruction parameter group and the manufacturing instruction parameters of the available choices with the multiple regression analysis program to identify the manufacturing instruction parameter group or the manufacturing instruction parameters of the available choices having the greater calculated explanatory variable selection reference value as optimum parameters, and a regression equation calculating part that calculates and displays a regression equation when employing the optimum parameters with the multiple regression analysis program.