Non-contact monitoring of fluid characteristics in wastewater transport systems

1 . A method of determining a characteristic of a fluid in a wastewater transport channel, the method comprising;

determining, by a fluid-level sensor and a first processing circuitry (PC), a distance between a radiation source and a surface of a fluid in the wastewater transport channel;

tuning a filter, on the radiation source, to a unique wavelength;

directing, by the first PC, a radiation from the radiation source, in one or more spectral emission signature (SES) channels, toward the fluid in the transport channel, wherein each of the one or more SES channels has a channel transmitted frequency, and wherein the channel transmitted frequency has the unique wavelength;

obtaining, by a second processing circuitry, at least, SES data of the fluid, wherein the SES data comprises, for the one or more SES channels:

data indicative of an intensity of radiation emitted by the fluid, in one or more channel emission frequency bands, wherein the radiation emitting by the fluid is emitted at least partially in response to an excitation of molecules of the fluid by the directed radiation from the radiation source at a respective channel transmitted frequency; and

utilizing, by the second processing circuitry, a machine learning model to determine, from the obtained SES data, data indicative of one or more characteristics of the fluid,

wherein the machine learning model was trained in accordance with, at least, a plurality of training examples, wherein the plurality of training examples includes:

SES data of a fluid sample, and

data indicative of the one or more characteristics of the fluid sample.

2 . The method of claim 1 , wherein at least one of the one or more determined characteristics of the fluid is selected from the group consisting of:

chemical oxygen demand;

5-day biological oxygen demand (BOD5);

total organic content level

content level of total suspended solids;

mineral oils content level;

detergents content level;

hydrocarbons content level;

biomass content level; and

turbidity.

3 . The method of claim 1 , wherein the SES data of a fluid sample of the plurality of training examples comprises:

for one or more SES channels:

data indicative of an intensity of radiation emitted by the fluid sample, in a respective channel emission frequency band, at least partially in response to an excitation of molecules of the fluid sample by a radiation of a respective channel transmitted frequency that is directed toward the fluid sample.

4 . The method of claim 1 , wherein:

an SES channel of the one or more SES channels has a channel transmitted frequency between 270 nanometers (nm) and 290 nm, and respective channel emission frequency bands that are at least one of: a wavelength between 340 nm and 380 nm and a wavelength between 420 nm and 600 nm.

5 . The method of claim 1 , wherein:

an SES channel of the one or more SES channels has a channel transmitted frequency between 355 nm and 375 nm, and a respective channel emission frequency bands that are at least one of: a wavelength between 340 nm and 380 nm and a wavelength between 420 nm and 600 nm.

6 . The method of claim 1 , wherein the data indicative of an intensity of radiation emitted by the fluid comprises:

one or more radiation intensity values, wherein each radiation intensity value is indicative of a measured radiation intensity of a respective channel emission frequency band of the one or more channel emission frequency bands.

7 . The method of claim 1 , wherein the data indicative of an intensity of radiation emitted by the fluid comprises:

one or more normalized radiation intensity values, wherein each normalized radiation intensity value is indicative of a measured radiation intensity of a respective channel emission frequency band of the one or more channel emission frequency bands that are normalized in accordance with a measurement of a background light.

8 . The method of claim 1 , wherein the data indicative of an intensity of radiation emitted by the fluid comprises:

one or more normalized radiation intensity values, wherein each normalized radiation intensity value is indicative of a measured radiation intensity of a respective channel emission frequency band of the one or more channel emission frequency bands that are normalized in accordance with data indicative of an intensity of transmitted radiation received at the emitting fluid.

9 . The method of claim 8 , wherein the data indicative of an intensity of transmitted radiation received at the emitting fluid comprises data indicative of a distance between a fluorometer measuring the radiation emitted by the fluid and a surface of the emitting fluid.

10 . The method of claim 1 , wherein the obtained SES data comprises, for one or more SES channels:

data indicative of a measured quantity of the radiation emitted by the fluid in each channel emission frequency band of the respective SES channel;

data indicative of a normalized measure of the radiation emitted by the fluid in each channel emission frequency band of the respective SES channel; and

data indicative of a distance between a fluorometer measuring the emitted radiation emitted by the fluid and a surface of the emitting fluid.

11 . The method of claim 2 , wherein the data indicative of one or more fluid characteristics of the fluid sample is a label that is a derivative of at least one of the one or more characteristics.

12 . A system of determining a characteristic of a fluid in a wastewater transport channel, the system comprising:

a first processing circuitry, the first processing circuitry being configured to:

determine, by a fluid-level sensor and a first processing circuitry (PC), a distance between a radiation source and a surface of a fluid in the wastewater transport channel;

tune a filter, on the radiation source, to a unique wavelength;

direct, by the first PC, a radiation from the radiation source, in one or more spectral emission signature (SES) channels, toward the fluid in the transport channel, wherein each of the one or more SES channels has a channel transmitted frequency, and wherein the channel transmitted frequency has the unique wavelength;

a second processing circuitry, the second processing circuitry being configured to:

obtain, at least spectral emission signature (SES) data of the fluid, wherein the SES data comprises, for the one or more SES channels:

data indicative of an intensity of radiation emitted by the fluid, in one or more channel emission frequency bands, wherein the radiation emitting by the fluid is emitted at least partially in response to an excitation of molecules of the fluid by a the directed radiation from the radiation source at a respective channel transmitted frequency; and

utilize a machine learning model to determine, from the obtained SES data, data indicative of one or more characteristics of the fluid,

wherein the machine learning model was trained in accordance with, at least, a plurality of training examples, wherein the plurality of the training examples includes:

SES data of a fluid sample, and

data indicative of the one or more characteristics of the fluid sample.

13 . A computer program product comprising:

a first non-transitory computer readable storage medium retaining program instructions, which, when read by a processing circuitry, cause the processing circuitry to perform a computerized method of determining a characteristic of a fluid in a wastewater transport channel, the method comprising:

determining, by a fluid-level sensor and a first processing circuitry (PC), a distance between a radiation source and a surface of a fluid in the wastewater transport channel,

tuning a filter, on the radiation source, to a unique wavelength; and

directing, by the first PC, radiation, from the radiation source, in one or more spectral emission signature (SES) channels, toward the fluid in the transport channel, wherein each of the one or more SES channels has a channel transmitted frequency, and wherein the channel transmitted frequency has the unique wavelength;

a second non-transitory computer readable storage medium retaining program instructions, which, when read by a processing circuitry, cause the processing circuitry to perform a computerized method of determining a characteristic of a fluid, the method comprising:

obtaining, at least spectral emission signature (SES) data of the fluid, wherein the SES data comprises, for the one or more SES channels:

data indicative of an intensity of radiation emitted by the fluid, in one or more channel emission frequency bands, wherein the radiation emitting by the fluid is emitted at least partially in response to excitation of molecules of the fluid by the directed radiation from the radiation source at a respective channel transmitted frequency, and

utilizing a machine learning model to determine, from the obtained SES data, data indicative of one or more characteristics of the fluid,

wherein the machine learning model was trained in accordance with, at least, a plurality of training examples, wherein the plurality of training examples includes:

SES data of a fluid sample, and

data indicative of the one or more characteristics of the fluid sample.

14 . A system of monitoring characteristics of a fluid flow in a wastewater transport channel, the system comprising:

a processing circuitry, the processing circuitry comprising a processor and a memory, wherein the processing circuitry is configured to:

tune a filter, on a radiation sensor, to a unique wavelength;

emit a radiation burst, via the radiation source, at a channel transmitted frequency toward the fluid flow, wherein the channel transmitted frequency has the unique wavelength;

measure, from an operably connected radiation sensor, a sensing radiation emitted by the fluid flow, wherein an intensity of the sensing radiation emitted by the fluid, in one or more channel emission frequency bands, at least partially in response to excitation of molecules of the fluid by the emitted radiation burst of the channel transmitted frequency;

detect a distance between the radiation sensor and a surface of the fluid flow via an operably connected ultrasonic transducer, wherein the operably connected ultrasonic transducer provides data indicative of the distance between the radiation sensor and the surface of the fluid flow; and

normalize the data measured by the sensor, in accordance with the detected distance.

15 . The system of claim 14 , the processing circuitry being additionally configured to:

provide the normalized data to a system of determining fluid characteristics.

16 . A method of monitoring characteristics of a fluid flow in a wastewater transport channel, the method comprising:

tuning a filter, on a radiation sensor, to a unique wavelength;

emitting a radiation burst, via a radiation source, of a channel transmitted frequency toward the fluid flow, wherein the channel transmitted frequency has a unique wavelength;

measuring, by a processing circuitry, from an operably connected radiation sensor, a sensing radiation emitted by the fluid flow, wherein an intensity of the sensing radiation emitted by the fluid, in one or more channel emission frequency bands, at least partially in response to excitation of molecules of the fluid by the emitted radiation burst of the channel transmitted frequency;

detecting, by the processing circuitry, from an operably connected ultrasonic transducer that is configured to provide data indicative of a distance between the radiation sensor and the surface of the fluid flow; and

normalizing the data measured by the radiation, in accordance with the detected distance.

17 . A computer program product comprising a non-transitory computer readable storage medium retaining program instructions, which, when read by a processing circuitry, cause the processing circuitry to perform a computerized method of monitoring characteristics of a fluid flow in a wastewater transport channel, the method comprising:

tuning a filter, on a radiation sensor, to a unique wavelength;

emitting a radiation burst, via a radiation source, of a channel transmitted frequency toward the fluid flow, wherein the channel transmitted frequency has a unique wavelength;

measuring, from an operably connected radiation sensor, a sensing radiation emitted by the fluid flow, wherein an intensity of the sensing radiation emitted by the fluid, in one or more channel emission frequency bands, at least partially in response to excitation of molecules of the fluid by the emitted radiation burst of the channel transmitted frequency;

detecting, from an operably connected ultrasonic transducer that is configured to provide data indicative of a distance between the radiation sensor and the surface of the fluid flow; and

normalizing the data measured by the radiation, in accordance with the detected distance.

18 . The method of claim 1 , wherein the first processing circuitry is the second processing circuitry.

19 . The method of claim 1 , further comprising:

causing a display via a device connected to the fluid assessment system on the determined one or more fluid characteristics.

20 . The system of claim 14 , wherein the processing circuitry is further configured to:

tune a filter, on the light sensor, to measure emission by fluid flow at one or more channel emission frequency bands, wherein each of the one or more channel emission frequency bands has unique wavelengths.

21 . The system of claim 14 , wherein the channel transmitted frequency is a unique wavelength selected from at least one spectral emission signature (SES) channel, wherein the each of the at least one SES channel has a pair of a channel transmitted frequency and one or more channel emission frequency bands.