Elevator traffic 'filter' separating out significant traffic density data

Abstract

A computer based elevator system (FIG. 1) including data 'filtering' means evaluating at least part of the system's over-all operational, historic data base, determining when significant traffic density was present in the system and then selecting out such data, saving it in a special data base. Boarding and de-boarding count data is separately processed on a floor-by-floor, time-interval-by-time-interval, sequential basis and evaluated with respect to two base lines (FIGS. 2A and 4)--a first, 'end' base line ('E') based on a preset, lower percent of the total floor's population ('F.P.'; e.g. E=1% F.P.), and a second, 'start' base line ('S') baased on a preset, higher percent of that floor's total population (e.g. S=3% F.P.); and two time frames--a first, minimum time frame ('T.S.') based on the time (e.g. 18 minutes) the values must stay above 'S' for significant traffic density to be considered present, and a second, maximum time frame ('T.E.') based on the maximum allowed time the values (which previously met the first percent and time requirements) may go and continuously stay below 'E', which, when this time maximum (e.g. 6 minutes) is exceeded, is considered the end of the significant traffic density period for those time intervals. All data that meets those criteria is 'filtered' through from the incoming data, producing the blocks of filtered data of FIGS. 3 and 5, representing only that data which had been recorded during significant traffic density conditions.