EP1402122A2 - Procede et systeme permettant d'analyser l'effet de l'afflux d'eau et de l'infiltration sur un reseau d'assainissement - Google Patents

Procede et systeme permettant d'analyser l'effet de l'afflux d'eau et de l'infiltration sur un reseau d'assainissement

Info

Publication number
EP1402122A2
EP1402122A2 EP02739282A EP02739282A EP1402122A2 EP 1402122 A2 EP1402122 A2 EP 1402122A2 EP 02739282 A EP02739282 A EP 02739282A EP 02739282 A EP02739282 A EP 02739282A EP 1402122 A2 EP1402122 A2 EP 1402122A2
Authority
EP
European Patent Office
Prior art keywords
rain
flow
response
scaled
time interval
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Withdrawn
Application number
EP02739282A
Other languages
German (de)
English (en)
Inventor
James Scott Schutzbach
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
ADS LLC
Original Assignee
ADS Corp
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Priority claimed from US09/860,438 external-priority patent/US20020170350A1/en
Application filed by ADS Corp filed Critical ADS Corp
Priority claimed from PCT/US2002/015650 external-priority patent/WO2002095149A2/fr
Publication of EP1402122A2 publication Critical patent/EP1402122A2/fr
Withdrawn legal-status Critical Current

Links

Definitions

  • the present invention relates generally sewage flow monitoring and analysis
  • the present invention relates to a method and system of analyzing and/or predicting the effect of the inflow and/or infiltration of precipitation on
  • Sewer network managers have attempted to analyze and predict what effect a rain event may have on a sewer network, but the prior attempts have been unsatisfactory
  • the present invention is directed to such a system and method.
  • determining the effect of precipitation on flow within a sewer network includes the steps of collecting, at a first location, data representative of a measured rain quantity over a first
  • time interval having a duration that is less than a twenty-four-hour period
  • a memory data representative of a modeled rain response at a second location over a second time interval, the second time interval having a duration that is longer than the
  • the second location is a location within a sewer network
  • each calculating of the rain response requires no additional data relating to either the sewer network or any substance flowing within the sewer network. Also optionally, each
  • the modeled rain response is indicative of an anticipated increase in flow at the second location over the second time interval.
  • the modeled rain response may be capable of graphical
  • the method includes the additional step of identifying a cumulative
  • the method may also include the additional steps of measuring, using a flow meter at the second location, data representative of a measured flow; subtracting a basehne flow from the measured flow to result in an adjusted flow; and
  • baseline flow preferably represents expected flow during a non-precipitation event.
  • comparing is preferably done using a goodness of fit test. If the comparing step
  • possible rain response represents a possible flow volume distribution at a second location
  • the second time interval being longer than the first time interval; measuring, using a flow monitor, a measured flow volume distribution at the second location over the second time interval; comparing, using the processor, the possible
  • the method also includes the steps of collecting data representative of a second measured rain quantity over a third time interval at the first location; calculating, in real time by a processor, a scaled rain response comprising a function of the modeled
  • the second location is a location within a sewer network
  • the selecting step may include a goodness of fit test on the measured flow volume distribution and the
  • the modeled rain response is capable of graphical representation as a curve on a graph where a y-axis represents at least one of
  • the inflow and infiltration and an x-axis represents time. Also preferably, the first time interval
  • the method may include the additional steps of measuring,
  • comparing step determines that the adjusted flow and the selected rain response do not
  • an alert may be reported.
  • analysis system includes a processor, a memory in communication with the processor, and
  • the processor is programmed to accept, from the rain gauge, data representative of a measured rain quantity over a first time
  • the memory maintains data representative of a modeled rain response at a location in a sewer network over a second
  • time interval having a duration that is longer than the duration of the first time interval.
  • the processor is further programmed to calculate, in real time, a scaled rain response
  • the processor is also programmed to report, in real time, the scaled rain response.
  • FIG. 1 illustrates an exemplary sewer network experiencing inflow and infiltration
  • FIG. 2 is an internal diagram of an exemplary computing device having a processor and a memory.
  • FIG. 3 is a flowchart that illustrates the steps by which the present invention may
  • FIG. 4 is a flowchart that illustrates the steps by which the present invention may
  • FIG. 5 illustrates exemplary rain responses to a measured rain event.
  • FIG. 6 illustrates an exemplary accumulation of rain responses in accordance with
  • FIG. 7 illustrates an example of a total computed rain response.
  • FIG. 8 illustrates the comparison of an exemplary computed rain response with an
  • FIG. 9 illustrates the development of a scaled rain response as a function of a
  • FIG. 1 provides an illustration of the general concepts of rain-dependent inflow
  • a sewer network 2 contains a wastewater substance 4 that flows within the sewer network.
  • monitors 6 and 8 are stationed at various points throughout the sewer network. Each flow
  • monitor measures the velocity and/or volume and/or other parameters relating to the flow
  • the monitors may be of any standard
  • One or more rain gauges such as 10 and 12 are also stationed at various points above the sewer network to collect precipitation data such as rain and/or snow volume,
  • rain may enter the system 2 through direct discharge
  • the sewer network as infiltration 20 through soil and/or other earthen materials, as well as through cracks and other openings within the sewer network above and/or under the soil.
  • inflow 18 occurs during the rain event and for a brief period of time after the
  • FIG. 1 illustrates that
  • monitors and rain gauges may be used in connection with any precipitation event.
  • the present invention employs a computer system using a computer processor and
  • FIG. 2 An internal diagram of such a system is illustrated in FIG. 2. At a minimum,
  • the system includes one or more memory devices 30 and 32 and a processor 34.
  • the computer also includes a communications port 31 that serves to receive data from the flow monitors and rain gauges. Each rain gauge and each flow monitor is in communication
  • a medium such as dial-in lines, a wireless transceiver, and/or an Internet connection.
  • the computer system may be integral with one or more of the rain gauges or
  • the data collected by the rain gauges and flow monitors is delivered to the processor and memory for storage, analysis, and use.
  • the processor uses the data collected by the flow meters and rain gauges to learn the sewer network's typical response to a precipitation event and to predict the effects of
  • FIG. 3 illustrates the steps that such a system may perform to learn the rain response of a sewer network to a precipitation
  • time periods of time are relatively brief, in each case less than a twenty-four
  • intervals such as five-minute intervals, ten-minute intervals, fifteen-minute intervals, thirty-minute intervals, or any other interval that is less than twenty-four hours.
  • the system then generates 52 one or more possible rain
  • the system Preferably the system generates a large number of rain responses, such as one hundred, two hundred, or more in order to provide multiple
  • each rain response may be optionally depicted as a hydrograph showing an immediate response to the inflow and/or infiltration of the rain, with an abrupt or gradual decrease in flow as the system returns to
  • the system also collects 54 data representative of actual flow volume and
  • system selects 58, as the modeled rain response, the possible rain response having the best
  • the modeled rain response is stored 60 in a database, along with its corresponding rain quantity and rain time interval. The steps illustrated in
  • FIG. 3 are preferably repeated over multiple time intervals, as well as during multiple rain events, in order to provide a broadly populated database of possible rain responses
  • FIG. 4 illustrates the steps that the present invention may follow to predict a rain
  • the system maintains 70 the modeled rain responses in a memory, and it receives 72
  • a scaled rain response as a function of the modeled rain response and the rain quantity.
  • the function is preferably done by multiplication of the modeled rain
  • This report may be in the form of a direct communication to a user via a display, electronic mail, sonic
  • alert, printout, or other communications medium or the reporting may be simply the delivery of the selected rain response data to a processor, a storage medium such as a
  • Steps 72-74 may be repeated, and the scaled rain responses summed, to yield a cumulative rain response (as described below in the discussion relating
  • the scaled or cumulative rain response may be used to determine whether sewer
  • FIG. 4 illustrates the steps of measuring 78 actual sewer flow, using a flow
  • the baseline flow represents the flow that normally occurs at the flow monitor's location during non- precipitation conditions, and the subtraction of baseline flow from measured sewer flow
  • the system compares 82 the adjusted flow to the scaled or cumulative rain response to determine whether the adjusted flow substantially corresponds
  • the system may alert 86 a user or another system or device of a potential problem in the sewer network.
  • the alert may be, for
  • a direct communication to a user via a display, electronic mail, sonic alert, printout, or other commumcations medium, or the alert may be as simple as the delivery of the correspondence data to a processor, a storage medium such as a computer memory,
  • the determination of scaled rain response may also be used to calculate or predict
  • the system can predict the flow at a downstream location
  • the prediction may also be configured to account for the amount of time that it takes a unit of flow to travel from the
  • FIGs. 5-8 provide a graphic illustration of the determination of rain response
  • a sewer network's response to an interval of rain may be illustrated as a hydrograph.
  • a hydrograph is a graph showing a
  • the fluid property is shown on a y-axis and the time is shown on the x-axis.
  • the graph typically follows the shape of a parabola, sine wave, or other shape having a rising portion
  • each interval of rain represents only a portion of an overall rain event, such as a period during which an inch of rain is received, or a period within which
  • the first rain tip may yield a rain response identified as
  • the response curves for the second tip 110, the third tip 120, and any number of additional tips are added to the first rain response curve to yield a total rain response. This continues for as many rain increments as desired to yield the overall rain
  • FIG. 8 illustrates that the computed overall rain
  • a goodness of fit test such as the such as the Kolmogorov-Smirnov test, the Pearson's chi- square test, or any other such test.

Landscapes

  • Sewage (AREA)

Abstract

L'invention concerne un procédé et un système permettant de déterminer l'effet d'une précipitation se déversant dans un réseau d'assainissement. Ce procédé consiste à identifier une réponse modélisée du réseau d'assainissement à un événement de précipitation. Une fois que la réponse modélisée est identifiée, on peut prévoir des réponses échelonnées à de futurs événements de précipitation, en temps réel, en mesurant des intervalles de l'événement de précipitation et en calculant la réponse échelonnée en fonction de la réponse modélisée et de la quantité de précipitations mesurée pendant l'événement de précipitation.
EP02739282A 2001-05-18 2002-05-17 Procede et systeme permettant d'analyser l'effet de l'afflux d'eau et de l'infiltration sur un reseau d'assainissement Withdrawn EP1402122A2 (fr)

Applications Claiming Priority (4)

Application Number Priority Date Filing Date Title
1999-05-06
US42110601P 2001-05-18 2001-05-18
US09/860,438 US20020170350A1 (en) 2001-05-18 2001-05-18 Method and system for analyzing the effect of inflow and infiltration on a sewer system
PCT/US2002/015650 WO2002095149A2 (fr) 2002-05-17 2002-05-17 Procede et systeme permettant d'analyser l'effet de l'afflux d'eau et de l'infiltration sur un reseau d'assainissement

Publications (1)

Publication Number Publication Date
EP1402122A2 true EP1402122A2 (fr) 2004-03-31

Family

ID=39796855

Family Applications (1)

Application Number Title Priority Date Filing Date
EP02739282A Withdrawn EP1402122A2 (fr) 2001-05-18 2002-05-17 Procede et systeme permettant d'analyser l'effet de l'afflux d'eau et de l'infiltration sur un reseau d'assainissement

Country Status (2)

Country Link
EP (1) EP1402122A2 (fr)
AU (1) AU2002311940B8 (fr)

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
See references of WO02095149A2 *

Also Published As

Publication number Publication date
AU2002311940B2 (en) 2008-09-04
AU2002311940B8 (en) 2008-09-25

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