Method for monitoring a treatment structure for rainwater, and treatment structure for rainwater

Abstract

A treatment structure for rainwater has at least one receiving vessel for rainwater and an outlet for discharging treated rainwater. A monitoring device for monitoring a need for maintenance of the treatment structure is provided. The monitoring device has at least one first sensor for detecting a fill level of rainwater in the vessel, at least one second sensor for detecting an amount of precipitation in a predetermined area surrounding the treatment structure, and at least one data processing unit in which parameter values from a group comprising a predetermined target fill level and a predetermined target rate of decrease of the fill level of rainwater in the vessel are stored. Here, the at least one first and the at least one second sensor are operatively coupled to the data processing unit via an electronic data line.

1 - 11 . (canceled) 
     
     
         12 . A method for monitoring a treatment structure ( 1 ) for precipitation water,
 wherein the treatment structure ( 1 ) includes
 a vessel ( 2 ) for receiving the precipitation water, 
 an outlet ( 5 ) for discharging treated precipitation water, and 
 a monitoring device for monitoring a need for maintenance of the treatment structure ( 1 ), 
   wherein the monitoring device has
 a first sensor ( 11 ) for detecting a fill level of the precipitation water in the vessel ( 2 ), 
 a second sensor ( 12 ) for detecting an amount of precipitation in a predetermined area surrounding the treatment structure ( 1 ), and 
 a data processing unit ( 10 ,  20 ), in which parameter values including a predetermined target fill level and a predetermined target rate of decrease of the fill level of the precipitation water in the vessel ( 2 ) are stored, 
 wherein the first sensor ( 11 ) and the second sensor ( 12 ) are operatively coupled to the data processing unit ( 10 ,  20 ) via an electronic data line ( 13 ,  21 ), 
   the method comprising:
 detecting values of the fill level of the precipitation water received in the vessel ( 2 ) and of the precipitation in the predetermined area surrounding the treatment structure ( 1 ) at predetermined time intervals by the first sensor ( 11 ) and the second sensor ( 12 ); 
 transmitting detected values to the data processing unit ( 10 ,  20 ); 
 evaluating the detected values by the data processing unit by comparing a current fill level to the predetermined target fill level and/or comparing a current rate of decrease of the fill level of the precipitation water in the vessel ( 2 ) to the predetermined target rate of decrease and thereby determining a level of silting of the vessel ( 2 ); and 
 outputting the need for maintenance for the treatment structure for precipitation water as a function of the determined level of silting of the vessel ( 2 ). 
   
     
     
         13 . The method according to  claim 12 ,
 wherein the data processing unit ( 10 ,  20 ) includes a local data processing unit ( 10 ) and a central data processing unit ( 20 ),   wherein detecting values of the fill level of the precipitation water and of the precipitation in the predetermined area surrounding the treatment structure ( 1 ) is performed by the local data processing unit ( 10 ),   wherein transmitting the detected values to the data processing unit ( 10 ,  20 ) includes forwarding the detected values from the local data processing unit ( 10 ) to the central data processing unit ( 20 ), and   wherein evaluating the detected values by the data processing unit is performed by the central data processing unit ( 20 ).   
     
     
         14 . The method according to  claim 12 , further comprising:
 evaluating the detected values of the first sensor ( 11 ) and of the second sensor ( 12 ) by using a parameterized precipitation runoff model,   wherein the parameterized precipitation runoff model includes predetermined parameters of the treatment structure ( 1 ) to be monitored.   
     
     
         15 . The method according to  claim 12 , further comprising
 evaluating the detected values of the first sensor ( 11 ) and of the second sensor ( 12 ) by using artificial intelligence (AI).   
     
     
         16 . The method according to  claim 12 , further comprising
 evaluating the detected values of the first sensor ( 11 ) and of the second sensor ( 12 ) by using a parameterized precipitation runoff model and by using artificial intelligence (AI),   wherein the parameterized precipitation runoff model includes predetermined parameters of the treatment structure ( 1 ) to be monitored.   
     
     
         17 . The method according to  claim 12 , further comprising
 evaluating the detected values of the first sensor ( 11 ) and of the second sensor ( 12 ) by using a parameterized hydraulic model,   wherein the parameterized hydraulic model includes predetermined parameters of the treatment structure ( 1 ) to be monitored.   
     
     
         18 . The method according to  claim 17 ,
 wherein the predetermined parameters of the treatment structure ( 1 ) to be monitored are stored in the data processing unit ( 10 ,  20 ) and are selected from the group consisting of dimensions of the vessel ( 2 ), nominal width of the outlet ( 5 ), type of the treatment structure ( 1 ), separating performance of the treatment structure ( 1 ), and passage value of the treatment structure ( 1 ).   
     
     
         19 . A treatment structure ( 1 ) for precipitation water, comprising:
 a receiving vessel ( 2 ) for precipitation water;   an outlet ( 5 ) for discharging treated precipitation water; and   a monitoring device for monitoring a need for maintenance of the treatment structure ( 1 ), including
 a first sensor ( 11 ), by which a fill level of the precipitation water in the vessel ( 2 ) is detected, 
 a second sensor ( 12 ), by which an amount of precipitation in a predetermined area surrounding the treatment structure ( 1 ) is detected, and 
 a data processing unit ( 10 ,  20 ), by which values detected by the first sensor ( 11 ) and the second sensor ( 12 ) are evaluated with regard to the need for maintenance of the treatment structure, 
   wherein the first sensor ( 11 ) and the second sensor ( 12 ) are operatively coupled to the data processing unit ( 10 ,  20 ) via an electronic data line ( 13 ,  21 ).   
     
     
         20 . The treatment structure ( 1 ) according to  claim 19 ,
 wherein the monitoring device has a further sensor, selected from the group consisting of a flow measurement sensor, a load measurement sensor, an ultrasonic sensor, a radar sensor, a temperature sensor, and a moisture sensor.   
     
     
         21 . The treatment structure ( 1 ) according to  claim 19 ,
 wherein the data processing unit ( 10 ,  20 ) includes a local data processing unit ( 10 ) and a central data processing unit ( 20 ),   wherein the local data processing unit ( 10 ) is operatively coupled electronically to the first sensor ( 11 ) and the second sensor ( 12 ) via a first data line ( 13 ), and   wherein the central data processing unit ( 20 ) is operatively coupled electronically to the local data processing unit ( 10 ) via a second data line ( 21 ).   
     
     
         22 . The treatment structure ( 1 ) according to  claim 21 ,
 wherein the monitoring device has a self-sufficient energy supply, and   wherein the first sensor ( 11 ) and the second sensor ( 12 ) and the local data processing unit ( 10 ) have a rechargeable battery.