WO2020229506A1

WO2020229506A1 - Controlling fluid sensor apparatus

Info

Publication number: WO2020229506A1
Application number: PCT/EP2020/063259
Authority: WO
Inventors: Ilkka Rahikainen; Jari Korkiakoski
Original assignee: Uros Technology S.À R.L.
Priority date: 2019-05-14
Filing date: 2020-05-13
Publication date: 2020-11-19
Also published as: FI20195399A1; EP3969850A1

Abstract

A method for controlling a fluid sensor apparatus, includes: obtaining (202) a sample measuring result as a result from the fluid sensor apparatus measuring a fluid; comparing (204) one or more measured values of the sample measuring result and one or more reference values of a plurality of measurement configurations for the fluid sensor apparatus with each other; selecting (206) a measurement configuration for the fluid sensor apparatus from among the plurality of measurement configurations for the fluid sensor apparatus based on the comparing; and commanding (210) the fluid sensor apparatus to measure the fluid according to the selected measurement configuration.

Description

CONTROLLING FLUID SENSOR APPARATUS FIELD

Various embodiments relate to a control apparatus for controlling a fluid sensor apparatus, and a method for controlling a fluid sensor apparatus.

BACKGROUND

A fluid sensor apparatus may continuously measure fluids with different compositions. If the fluid sensor apparatus detects a deviation in one or more measured values, it must inform about the change. The deviation may be detected by comparing the one or more measured values with one or more threshold values or to one or more long term averages of the one or more measured values. However, as initially the fluid sensor apparatus does not know what kind of fluid it is measuring, the adaptation to the specific measurement circumstances may take a relatively long time such as a few days.

BRIEF DESCRIPTION

According to an aspect, there is provided subject matter of independent claims. Dependent claims define some embodiments.

One or more examples of implementations are set forth in more detail in the accompanying drawings and the description of embodiments.

LIST OF DRAWINGS

Some embodiments will now be described with reference to the accompanying drawings, in which

FIG. 1 illustrates embodiments of a control apparatus; and

FIG. 2 illustrates embodiments of a control method.

DESCRIPTION OF EMBODIMENTS

The following embodiments are only examples. Although the specification may refer to“an” embodiment in several locations, this does not necessarily mean that each such reference is to the same embodiment(s), or that the feature only applies to a single embodiment. Single features of different embodiments may also be combined to provide other embodiments. Furthermore, words "comprising" and "including" should be understood as not limiting the described embodiments to consist of only those features that have been mentioned and such embodiments may contain also features/structures that have not been specifically mentioned.

Reference numbers, both in the description of the embodiments and in the claims, serve to illustrate the embodiments with reference to the drawings, without limiting it to these examples only.

Let us study simultaneously both FIG. 1, which illustrates embodiments of a control apparatus 100 for controlling a fluid sensor apparatus 120, and FIG. 2, which illustrates embodiments of a method for controlling the fluid sensor apparatus 120.

The fluid sensor apparatus 120 comprises a processor 122, one or more sensors 128, 130, 132, 134, 136, and a communication interface 126. The fluid sensor apparatus 120 may also comprise other parts such as battery to provide electric energy for its operation (or other power source or power interface) and a housing protecting electronics of the fluid sensor apparatus 120 from external influences (dust, moisture, mechanical shocks, etc.). The battery may be an electric battery converting stored chemical energy into electrical energy. The electric battery may be rechargeable.

In general, the sensor 128, 130, 132, 134 may be a converter that measures a physical quantity and converts it into an electrical signal. Such physical quantities may relate to temperature, humidity, speed, pH, acceleration, orientation, an electrical quantity such as an electrode potential, an optical quantity such as a transparency or a scattering, or some other physical quantity, for example. The sensor 136 may also receive some external data and pass it on, or generate some further data on the basis of the external data. The external data may relate to positioning, for example. The external data may include signal transmitted by satellites of a global navigation satellite system (GNSS), and/or location coordinates. The external data may also include signals and/or locations used in an indoor positioning system based on radio signals or other techniques (such as magnetic interferences caused by building structures), for example.

The control apparatus 100 comprises a communication interface 108 configured to communicate with the fluid sensor apparatus 120.

The control apparatus 100 also comprises one or more processors 102, coupled with the communication interface 108, configured to cause the control apparatus 100 to perform the method for controlling the fluid sensor apparatus 120.

The one or more processors 102 of the control apparatus 100 may be implemented with one or more microprocessors 102, and one or more memories 104 including computer program code 106. The one or more memories 104 and the computer program code 106 are configured to, with the one or more processors 102, cause performance of the data processing operations of the control apparatus 100.

The term 'processor' 102 refers to a device that is capable of processing data. Depending on the processing power needed, the control apparatus 100 may comprise several processors 102 such as parallel processors, a multicore processor, or a computing environment that simultaneously utilizes resources from several physical computer units (sometimes these are referred as cloud, fog or virtualized computing environments). When designing the implementation of the processor 102, a person skilled in the art will consider the requirements set for the size and power consumption of the control apparatus 100, the necessary processing capacity, production costs, and production volumes, for example.

A non-exhaustive list of implementation techniques for the processor

102 and the memory 104 includes, but is not limited to: logic components, standard integrated circuits, application-specific integrated circuits (ASIC), system-on-a-chip (SoC), application-specific standard products (ASSP), microprocessors, microcontrollers, digital signal processors, special-purpose computer chips, field-programmable gate arrays (FPGA), and other suitable electronics structures.

The term 'memory' 104 refers to a device that is capable of storing data run-time (= working memory) or permanently (= non-volatile memory). The working memory and the non-volatile memory may be implemented by a random-access memory (RAM), dynamic RAM (DRAM), static RAM (SRAM), a flash memory, a solid state disk (SSD), PROM (programmable read-only memory), a suitable semiconductor, or any other means of implementing an electrical computer memory.

The computer program code 106 may be implemented by software. In an embodiment, the software may be written by a suitable programming language, and the resulting executable code may be stored in the memory 104 and run by the processor 102.

An embodiment provides a computer-readable medium 110 storing computer program code 106, which, when loaded into the one or more processors 102 and executed by one or more processors 102, causes the one or more processors 102 to perform the computer-implemented method for controlling the fluid sensor apparatus 120, which will be explained with reference to FIG. 2. The computer-readable medium 110 may comprise at least the following: any entity or device capable of carrying the computer program code 106 to the one or more processors 102, a record medium, a computer memory, a read-only memory, an electrical carrier signal, a telecommunications signal, and a software distribution medium. In some jurisdictions, depending on the legislation and the patent practice, the computer-readable medium 110 may not be the telecommunications signal. In an embodiment, the computer-readable medium 110 may be a computer-readable storage medium. In an embodiment, the computer-readable medium 110 may be a non-transitory computer-readable storage medium.

Note that the one or more processors 122 of the fluid sensor apparatus 120 may be implemented with similar technologies.

In an embodiment, the control apparatus 100 may be a stand-alone control apparatus 100 as in FIG. 1, i.e., the control apparatus 100 is a separate unit as well as the fluid sensor apparatus 120 is a separate unit. The communication interfaces 108, 126 may be implemented with a standard or proprietary wireless or wired communication technology.

The control apparatus 100 as the separate unit may be implemented as a physical unit, or as a service implemented by a networked server apparatus.

The control apparatus 100 may be a computer, laptop computer, tablet computer, phablet, mobile phone, smartphone, general-purpose mobile computing device, or some other electronic data processing apparatus. The control apparatus 100 may be a general-purpose off-the-shelf computing device, as opposed to a purpose-build proprietary equipment, whereby research & development costs will be lower as only the special-purpose software (and not the hardware) needs to be designed, implemented and tested.

The networked server apparatus 100 may be a networked computer server, which interoperates with the fluid sensor apparatus 120 according to a client-server architecture, a cloud computing architecture, a peer-to-peer system, or another applicable distributed computing architecture.

In an embodiment, both communication interfaces 108, 126 comprise one or more wireless transceivers configured to operate using one or more of the following: a cellular radio network, a wireless local area network (WLAN), a short-range radio network (such as Bluetooth), a radio network employing a subscriber identity module (SIM), one or more subscriber identity modules selected from among a plurality of subscriber identity modules coupled with the one or more wireless transceivers.

The wireless data transmission may be implemented with a suitable cellular communication technology such as GSM, GPRS, EGPRS, WCDMA, UMTS, 3GPP, IMT, LTE, LTE-A, 3G, 4G, 5G etc. and/or with a suitable non-cellular communication technology such as Bluetooth, Bluetooth Low Energy, Wi-Fi, WLAN, Zigbee, etc. Other applicable technologies include LPWAN (Low Power Wide Area Network), NB-IoT (Narrowband IoT), Sigfox, LoRaWAN (Long Range Wide Area Network), QT network, etc.

However, in an alternative embodiment, the control apparatus 100 and the fluid sensor apparatus 120 form an integrated apparatus. The integrated apparatus provides a ready-to-use solution that may be installed in a required location, and it only requires a battery, or some other internal/external power source in order to operate. The communication interfaces 108, 126 may be implemented with a standard or proprietary communication bus or a software interface, for example. Also, the processing may be performed with common one or more processors of the integrated apparatus, i.e., the processors 102, 122 belong to a common processing resource pool.

The method starts in 200, and ends in 214. Note that the method may run as long as required (after the start-up of the control apparatus 100 until switching off) by repeating operation 212, or looping from operation 212 back to 202.

The operations are not strictly in chronological order in FIG. 2, and some of the operations may be performed simultaneously or in an order differing from the given ones. Other functions may also be executed between the operations or within the operations and other data exchanged between the operations. Some of the operations or part of the operations may also be left out or replaced by a corresponding operation or part of the operation. It should be noted that no special order of operations is required, except where necessary due to the logical requirements for the processing order.

In 202, a sample measuring result 180 is obtained from the fluid sensor apparatus 120 measuring a fluid 170.

In an embodiment, the sample measuring result 180 comprises the one or more measured values 182 measured with the fluid sensor apparatus 120 from the fluid 170 with an unknown composition. In such a use case, the measured values 182 do not necessarily identify the contents of the fluid 170. Rather, the one or more measured values 182 stay within a specific range in a stable situation, whereas an out-of-range measured value 182 indicates a changed or unstable situation. It may be said that the sensor 128, 130, 132, 134 is non specific to the fluid contents. The fluid contents mean the content of the fluid 170 (such as water, oil, solvent, gas, steam), or a type of the fluid 170 (such as pure water, purified water, river water, sea water, salty water, sewage water, dirty water, polluted water, rain water, etc., or natural oil, dirty oil, mineral oil, vegetable oil, cooking oil, sewage oil, gas, gas mixture, contaminated gas, smoke, exhaust gas, air, humid air or gas, steam, etc.), or impurity particles mixed or solved in the fluid 170 (such as dust, metal, sand, garbage, vegetable waste, paper, pulp, plastic, etc.). Non-specific means that the sensor output is not directly specifying the content of the fluid 170 (as described above). It may be that for any sensor value it is not possible to say if it is good or bad or high or low.

The fluid 170 is a substance that continually flows under an external force. As such, it is a phase of matter including liquids and gases (and also plasmas but the described embodiments are not applied to plasmas), the remaining phase of matter being solid.

The embodiments are explained for liquids, but they are applicable for gases and/or steams (= water in the gas phase), or mixtures containing liquid, gas and steam, too.

The fluid 170 may contain impurities, which may be solid, liquid or gas, and which may be separated (insoluble) or partially or fully dissolved in the fluid 170.

The fluid 170 may be understood here as a flowing substance or media in a pipe. Thus, liquid, gas, steam or a mixture of liquid an/or gas and/or steam may be such a flowing media.

In an embodiment, the sample measuring result 180 comprises the one or more measured values 182 as one or more electrode potential values measured with two or more measurement electrodes 128 of the fluid sensor apparatus 120 through the fluid 170. US patent 7,108,774 Bl, incorporated herein by reference in all those jurisdictions were applicable, discloses the use of such electrochemical sensors 128.

Each measurement electrode 128 may be made of different material so that each electrode produces a different electrode potential in the fluid 170. The potential of each electrode 128 depends on the environment (mostly chemical and electrical properties of the fluid 170) in which they are set. The measurement principle may be based on an oxidation-reduction reaction on the surface of the electrode 128 in a mixture of fluids. The electrode materials may be gold, silver, copper, platinum, etc. The electrode potentials of different metals are constant and known in a pure and neutral water at 25 degrees Celsius. For example, Au: 1.5 V, Ag: 0.8 V, Cu: 0.34 V, Al: -1.66 V, Li: -3.05 V.

When fluid 170 gets impurities mixed and/or dissolved or it is a mixture of changing chemical components, the corresponding potentials on the electrodes 128 change.

The detection principle is based on the measuring and following the potentials on-line and recognizing the changes causing an alarm or any indication of a change.

Due to the fact that the content of the fluid 170 is not known, it is not possible to know the potentials before measuring the first set.

So, when using the fluid sensor apparatus 120, it is needed to get first a reference status so that measurement results may be compared to it. Possible changes in the fluid content (process changes in a paper or pulp manufacturing process, or an alarming impurity in drinking water, for example) may be detected when following the changes of electrode potentials in the long run and comparing a new value into the original reference value or so-called slowly changing parameter reference (typically using long term averaging of previous measurement values) .

Machine learning may be used to recognize similarities or differences correlating to different situations, different clock times or process changes. For example, changes of different flow speed, temperature, pressure may be taught to a system (comprising one or more fluid sensor apparatuses 120 and the control apparatus 100) after having measured enough data comprising different parameter ranges (for example, after having measured data during the temperature of the fluid 170 varying from +5 to +100 °C). The system may find a correlation between potentials and temperature and make a function describing that.

The problem is that when setting the fluid sensor apparatus 120 to a new measuring location, there is need to measure rather long time to get a representative amount of data set to use as a reference value data set or the so- called normal set.

In the present embodiment, there is a database (= the plurality of the measurement configurations 112A, 112B with reference values 114A, 114B in the memory 104) collected from measurement results of different use cases. The use cases may be different typical applications where the fluid sensor apparatus 120 has been used. Typical applications may be, for example: water from river, water from sewage, water from water cleaning process, water from rainwater pipe, tap water, etc. Each application may have multiple variants related to a different location, time, distance from the supply and output (for example along the pipeline or along a river, temperature, seasonal time, clock time, weekday).

Each use case has its typical“potential value set” as a fingerprint of the use case. The data may be collected over long time and being an average or representative sample set or sample set series (multiple values per one electrode 128). Such data represents two or more dimensional data set possible covering different parameter values (over typical temperature range, etc.)

When installing the fluid sensor apparatus 120 to a new measurement location, the system will take a short sample period. The sample measuring result 180 is transmitted to the control apparatus 100 and compared to the sample sets 112A, 112B of the database. The comparison may be a mathematical correlation or a neural network matching method, for example. The system will find the best match between the measured new sample set 180 and a set in the database. The set found in the database represents one use case or an application or a practical measurement situation. The system will know or at least guess that the new measurement location is most probably the same use case as in the set of data in the database that has been measured previously. The system may use the data set in the database as a best estimate for the reference value for data measured in the new measurement location.

The idea is to make a quick initial measurement, compare measured values to the database, define which use case resembles the measured values, and if a representative match is found, use that use case as a reference in the early phase until more data is collected.

In an embodiment, the fluid sensor apparatus 120 is configured to measure the fluid 170 in one or more pipeline transport systems 160.

In an embodiment, the plurality of measurement configurations 112A, 112B comprise the one or more reference values 114A, 114B measured in different locations 162, 164, 166, 168 along the one or more pipeline transport systems 160. Depending on the location, 162, 164, 166, 168, the fluid 170 may have different chemical compositions: river/lake water, sewage water, cooling water of an industrial process, purified water, etc. Thus, the one or more pipeline transport systems 160 may be for transporting water. However, the one or more pipeline transport systems 160 may be used also for other transport needs, such as in a paper/pulp factory, in a chemical factory, in a food processing factory, or in a power station, for example. The pipeline transport system 160 may transport material (for example pulp or paper raw material), chemical substances, or different chemical additives. Materials may be dissolved or partially dissolved or insoluble, and they may be in liquid format and/or gaseous format.

In 204, one or more measured values 182 of the sample measuring result 180 and one or more reference values 114A, 114B of a plurality of measurement configurations 112A, 112B for the fluid sensor apparatus 120 are compared with each other. There may be M measurement configurations 112A, 112B, wherein M is any integer greater than one.

In 206, a measurement configuration for the fluid sensor apparatus 120 is selected from among the plurality of measurement configurations 112A,

112B based on the comparing 204.

In an embodiment 208, a new measurement configuration 112C is created for the plurality of measurement configurations if a measurement configuration cannot be selected from among the plurality of measurement configurations 112A, 112B based on the comparing 204. The one or more reference values 114A, 114B for the new measurement configuration 112C may be based (at least initially) on the one or more measured values 182 of the sample measuring result 180. These reference values 114A, 114B may then further be adjusted based on successive continuous measuring using the new measurement configuration 112C for the fluid sensor apparatus 120.

In an embodiment, the sample measuring result 180 comprises a timestamp 150, and selecting 206 the measurement configuration comprises taking into account the timestamp 150. The timestamp 150 indicates the time of measurement. In an embodiment, the timestamp 150 comprises one or more of a clock time, a date, a weekday, a season. This may be relevant information, as the composition of the fluid 170 may change over the day (such as during day, evening, night), during different weekdays (such as during working days and during weekend), or even during different seasons (summer, autumn, winter, spring). As shown in FIG. 1, the fluid sensor apparatus 120 may comprise a real- time clock 138, or some other timing reference for producing the timestamp 150.

In an embodiment, the sample measuring result 180 comprises a temperature 142 of the fluid 170 measured with a temperature sensor 130 of the fluid sensor apparatus 120, and selecting 206 the measurement configuration comprises taking into account the temperature 142.

In an embodiment, the sample measuring result 180 comprises a pressure 144 of the fluid 170 measured with a pressure sensor 132 of the fluid sensor apparatus 120, and selecting 206 the measurement configuration comprises taking into account the pressure 144.

In an embodiment, the sample measuring result 180 comprises a flow speed 146 of the fluid 170 measured with a flow sensor 134 of the fluid sensor apparatus 120, and selecting 206 the measurement configuration comprises taking into account the flow speed 146.

In an embodiment, the sample measuring result 180 comprises a location 148 measured with a location sensor 136 of the fluid sensor apparatus 120, and selecting 206 the measurement configuration comprises taking into account the location 148. In an embodiment, the location 148 is one of the different locations 162, 164, 166, 168 along the one or more pipeline transport systems 160.

In an embodiment, the sample measuring result 180 comprises electrical and/or optical properties 156 of the fluid 170 measured with an electrical and/or an optical sensor 154 of the fluid sensor apparatus 120, and selecting 206 the measurement configuration comprises taking into account the electrical and/or optical properties 156. The electrical properties 156 may comprises an electrical conductivity. The optical properties 156 may comprises a transparency, and/or scattering.

Besides these described sensors 128, 130, 132, 134, 136, the fluid sensor apparatus 120 may comprise other types of sensors, such as a pH sensor (indicating acidity or alkalinity), for example, whose measuring results are taken into account in the selecting 206.

In 210, the fluid sensor apparatus 120 is commanded to measure continuously the fluid 170 according to the selected measurement configuration 184.

In an embodiment 212, a change indication 188 is received from the fluid sensor apparatus 120 as a result of the fluid sensor apparatus 120 detecting a deviation in the one or more measured values when compared to one or more threshold values 186 or to one or more long term averages 152 of the one or more measured values. In general, the long term average 152 is a single number taken as representative of a numerous measurements, such as the arithmetic mean (= the sum of the measured values divided by how many measured values are being averaged), or another measure of central tendency in statistics like the median, or the mode.

Even though the invention has been described with reference to one or more embodiments according to the accompanying drawings, it is clear that the invention is not restricted thereto but can be modified in several ways within the scope of the appended claims. All words and expressions should be interpreted broadly, and they are intended to illustrate, not to restrict, the embodiments. It will be obvious to a person skilled in the art that, as technology advances, the inventive concept can be implemented in various ways.

Claims

1. A control apparatus (100) for controlling a fluid sensor apparatus (120), comprising:

a communication interface (108) configured to communicate with the fluid sensor apparatus (120); and

one or more processors (102), coupled with the communication interface (108), configured to cause the control apparatus (100) at least to perform:

obtaining (202) a sample measuring result (180) from the fluid sensor apparatus (120) measuring a fluid (170);

characterized in that the sample measuring result (180) comprises the one or more measured values (182) measured with the fluid sensor apparatus (120) from the fluid (170) with an unknown chemical composition, and in that the one or more processors (102) are configured to cause the control apparatus (100) at least to perform:

comparing (204) one or more measured values (182) of the sample measuring result (180) and one or more reference values (114A, 114B) of a plurality of measurement configurations (112A, 112B) for the fluid sensor apparatus (120) with each other, wherein the plurality of the measurement configurations (112A, 112B) with the reference values (114A, 114B) have been collected from measurement results of different typical applications where the fluid sensor apparatus (120) has been used;

selecting (206) a measurement configuration for the fluid sensor apparatus (120) from among the plurality of measurement configurations (112A, 112B) based on the comparing (204); and

commanding (210) the fluid sensor apparatus (120) to measure continuously the fluid (170) according to the selected measurement configuration (184).

2. The control apparatus of claim 1, wherein the sample measuring result (180) comprises the one or more measured values (182) as one or more electrode potential values measured with two or more measurement electrodes (128) of the fluid sensor apparatus (120) through the fluid (170).

3. The control apparatus of claim 1 or 2, wherein the sample measuring result (180) comprises a timestamp (150), and selecting (206) the measurement configuration comprises taking into account the timestamp (150).

4. The control apparatus of claim 3, wherein the timestamp (150) comprises one or more of a clock time, a date, a weekday, a season.

5. The control apparatus of any preceding claim 1 to 4, wherein the sample measuring result (180) comprises a temperature (142) of the fluid (170) measured with a temperature sensor (130) of the fluid sensor apparatus (120), and selecting (206) the measurement configuration comprises taking into account the temperature (142).

6. The control apparatus of any preceding claim 1 to 5, wherein the sample measuring result (180) comprises a pressure (144) of the fluid (170) measured with a pressure sensor (132) of the fluid sensor apparatus (120), and selecting (206) the measurement configuration comprises taking into account the pressure (144).

7. The control apparatus of any preceding claim 1 to 6, wherein the sample measuring result (180) comprises a flow speed (146) of the fluid (170) measured with a flow sensor (134) of the fluid sensor apparatus (120), and selecting (206) the measurement configuration comprises taking into account the flow speed (146).

8. The control apparatus of any preceding claim 1 to 7, wherein the sample measuring result (180) comprises a location (148) measured with a location sensor (136) of the fluid sensor apparatus (120), and selecting (206) the measurement configuration comprises taking into account the location (148).

9. The control apparatus of any preceding claim 1 to 8, wherein the sample measuring result (180) comprises electrical and/or optical properties (156) of the fluid (170) measured with an electrical and/or an optical sensor (154) of the fluid sensor apparatus (120), and selecting (206) the measurement configuration comprises taking into account the electrical and/or optical properties (156).

10. The control apparatus of any preceding claim 1 to 9, wherein the one or more processors (102) are configured to cause the control apparatus (100) to perform:

receiving (212) a change indication (188) from the fluid sensor apparatus (120) as a result of the fluid sensor apparatus (120) detecting a deviation in the one or more measured values when compared to one or more threshold values (186) or to one or more long term averages (152) of the one or more measured values.

11. The control apparatus of any preceding claim 1 to 10, wherein the fluid sensor apparatus (120) is configured to measure the fluid (170) in one or more pipeline transport systems (160).

12. The control apparatus of claim 11, wherein the plurality of measurement configurations (112A, 112B) comprise the one or more reference values (114A, 114B) measured in different locations (162, 164, 166, 168) along the one or more pipeline transport systems (160).

13. The control apparatus of any preceding claim 1 to 12, wherein the one or more processors (102) are configured to cause the control apparatus (100) to perform:

creating (208) a new measurement configuration (112C) for the plurality of measurement configurations if a measurement configuration cannot be selected from among the plurality of measurement configurations (112A, 112B) based on the comparing (204).

14. A method for controlling a fluid sensor apparatus, comprising: obtaining (202) a sample measuring result as a result from the fluid sensor apparatus measuring a fluid;

characterized in that the sample measuring result comprises the one or more measured values measured with the fluid sensor apparatus from the fluid with an unknown chemical composition, and in that the method comprises:

comparing (204) one or more measured values of the sample measuring result and one or more reference values of a plurality of measurement configurations for the fluid sensor apparatus with each other, wherein the plurality of the measurement configurations with the reference values have been collected from measurement results of different typical applications where the fluid sensor apparatus has been used;

selecting (206) a measurement configuration for the fluid sensor apparatus from among the plurality of measurement configurations for the fluid sensor apparatus based on the comparing; and

commanding (210) the fluid sensor apparatus to measure the fluid according to the selected measurement configuration.