Grey Water Measurement

Abstract

To provide a method and a system for measuring and monitoring a gray water content in a rotating concrete mixer drum truck.SOLUTION: The inside of a concrete mixer drum is provided with at least one sensor fitted to a place within the internal volume of the mixer drum so as to reach both of a state where the sensor is submerged in internal water and a non-submerged state separately during rotation of the mixer drum to generate signals showing each state. Using the sensor, for maintaining the expected performance of an input to be subjected to batch treatment in terms of strength and rheology, a gray water content is measured before batch treatment to modify batch water (and a cement content and the kind and content of an additive), so that some or all gray water can be exhausted from the concrete mixer drum before batch treatment.SELECTED DRAWING: Figure 11b

Description

[Technical field]

[0001] Disclosed herein is a method for preparing grey water in a rotating mixer drum. r) and more particularly to a method and system for automatically accounting for grey water remaining in a concrete mixer drum mixer truck and adjusting the batching to provide the correct moisture content for the subsequent batched load of concrete. [Background technology]

[0002] Water content, and more specifically water-to-cementitious ratio (w / cm), is an important factor in the strength development of concrete and other cementitious materials (see "Generalization of the Abrahms' Law-Prediction of strength development of concrete from cement properties," 2001). In general, strength decreases as the cube root of w / cm. Sources of water include batching water that is intentionally added during batching with coarse aggregate, fine aggregate, cement and other cementitious materials (e.g., fly ash, slag), and chemical admixtures. Water is also contained in the pores and surfaces of the aggregates and contributes significantly to the total moisture content. Additionally, water can be added by the concrete mixer truck driver at the "slump rack," which is the area of ​​the concrete production plant where the mixer truck is washed, and the slump can be adjusted by the concrete mixer truck driver. Similarly, at the job site, the contractor can instruct the driver to add water. Currently, there are automated slump monitoring and control systems that not only adjust the slump with water or admixtures, but also record all water added during the production and transport cycles (see, for example, US Pat. No. 5,399,633). These systems are intended to minimize the human factor in the production process and also to properly record all water sources. However, another source of water that cannot yet be quantified in a practical way comes from mixer truck drivers, who leave grey water, i.e. the water that remains after rinsing the pre-concrete charge from the concrete mixer drum (the water is grey because it still contains the cement paste), remaining in the drum and evading the automated slump monitoring and control systems. This extra water provides a higher slump (and easier dumping, which is preferred by contractors), but lower strengths if it does not contain the correct amount of water.

[0003] A water or moisture meter is a measuring device that can determine either the presence of water or the actual moisture content of a given material. Of the first type are meters that can send an alert to a homeowner if a water leak is detected around a household appliance such as a water heater (see, for example, U.S. Pat. No. 6,233,633). Of the second type, for example, there are aggregate moisture meters that can measure the moisture content of an aggregate sample. Both types of water meters can employ several different types of technologies, including (but not limited to) measuring electrical resistance (see, for example, U.S. Pat. No. 6,233,633), measuring microwaves (see, for example, U.S. Pat. No. 6,233,633), measuring nuclear resonance (see, for example, U.S. Pat. No. 6,233,633), and measuring infrared waves (see, for example, U.S. Pat. No. 6,233,633).

[0004] US Patent Nos. 5,233,333 and 5,233,352 to Berman (Sensocrete Inc. / GCP Applied Technologies) teach that a moisture meter can be installed on a sensor that extends into the interior of a concrete mixer drum (see column 3, line 35). This meter is used to determine the moisture content of concrete contained in the drum, but makes no mention of determining the water remaining in the drum prior to batching. As a moisture content meter, it measures the moisture content of concrete based on a calibration curve, which can then be related to the water-to-cement ratio. When used without modification, the moisture meter does not determine the amount of water remaining in the drum, it simply measures the humidity of the water, which reads approximately 100%. Also, both US Pat. Nos. 5,993,333 and 5,993,352 are silent on the effects of truck angle and data collection; both are required to achieve an accurate and meaningful grey water measurement.

[0005] It is therefore an object of the embodiments disclosed herein to provide a method and system for measuring the amount of grey water in a mixer drum and adjusting subsequent batching to provide the appropriate moisture content in the batched concrete charge.

[0006] Another object is to provide a method of determining whether grey water is present in the mixer drum and, if so, to alert the operator so that the grey water can be removed before the next batch is charged to the drum. [Prior art documents] [Patent documents]

[0007] [Patent Document 1] U.S. Pat. No. 8,118,473 [Patent Document 2] U.S. Pat. No. 8,922,379 [Patent Document 3] U.S. Pat. No. 4,780,665 [Patent Document 4] U.S. Pat. No. 4,104,584 [Patent Document 5] U.S. Patent No. 2,999,381 [Patent Document 6] U.S. Pat. No. 8,727,608 [Patent Document 7] U.S. Pat. No. 8,858,061 [Patent Document 8] U.S. Pat. No. 9,625,891 [Non-patent literature]

[0008] [Non-Patent Document 1] Popovics, S., in ACI Materials Journal, v.78, pp123-129, 1981 Summary of the Invention

[0009] To overcome the shortcomings of the prior art approaches, the embodiments disclosed herein provide a novel method for measuring and / or controlling the grey water content contained in a concrete mixer truck. By measuring the grey water content remaining in the mixer drum carried over from one or more previous batches before the next batching occurs, the batch water (and / or cement content, and / or admixture type and content) for the next batching can be modified to maintain the expected performance of the batched input, both in terms of strength and rheology, i.e., in simple terms, the grey water determined to be present in the mixer drum can be drained from the concrete mixer drum before the next batching occurs. In other words, the content of one or more of the various components of the next concrete batch can be modified based on the amount of grey water determined to be present in the mixing drum, for example, by adding less water or by adding more cement.

[0010] Currently, the moisture content of a given concrete input can be recorded for the contractor and includes water added during batching (including water contained within the aggregate), and possibly water added during transportation or at the discharge site. Water added at the slump rack is generally not recorded, but is not recorded in U.S. Pat. No. 9,466,203. A method for determining if water has been added is shown, but the water left in the drum after the concrete charge has been discharged remains unaccounted for to date.

[0011] Berman (Sensocrete, Inc. / GCP Applied Technologies) US Patent Nos. 5,133,311 and 5,133,311 teach that a probe attached to the interior of a concrete mixer drum can include a moisture meter (see column 3, line 35) and further teaches that the moisture meter uses electrical resistance as a means to measure the moisture content of the concrete, i.e., the moisture meter is taught to be used when the concrete mixer drum contains concrete; no mention is made of the situation when there is water remaining in the drum prior to batching.

[0012] Also, US Patent No. 7,393,435 to Berman (Sensocrete, Inc. / GCP Applied Technologies) teaches that a probe attached to the inside of a concrete mixer drum can predict the volume of concrete by measuring the time the probe is embedded in the concrete based on the change in force on the probe as it becomes embedded or unembedded in the concrete. US Patent No. 9,199,391 to Beaupre also teaches a method for using a force probe (see column 5, line 53) to determine the volume of concrete based on the position of the drum while the probe enters and exits the concrete. However, the same device is unlikely to be sensitive enough to determine the presence of water (especially in small volumes, e.g., 5 gallons), since the viscosity of water is orders of magnitude lower than concrete and does not impart a substantial change in the force on any force probe. For example, the viscosity of concrete typically ranges between 10 and 100 Pa·s, while the viscosity of water is about 0.001 Ps·s, which is 4 to 5 orders of magnitude lower.

[0013] According to certain embodiments, methods and systems are provided for automatically detecting and measuring the amount of grey water in a concrete mixer truck using one or more sensors, such as a water meter located inside the concrete mixer drum. In some embodiments, one or more sensors attached to the inside of the concrete mixer drum are used. The sensor(s), such as a water meter, can use one or more techniques, such as (but not limited to) measuring electrical resistance (see, for example, U.S. Pat. No. 6,233,480), measuring capacitance (see, for example, U.S. Pat. No. 4,438,480), measuring microwaves (see, for example, U.S. Pat. No. 6,233,321), measuring nuclear resonance (see, for example, U.S. Pat. No. 6,233,481), measuring infrared waves (see, for example, U.S. Pat. No. 6,233,321), measuring light scattering (see, for example, U.S. Pat. No. 4,263,511), or measuring light scattering, particularly for turbidity measurement (see, for example, U.S. Pat. No. 2,324,304). In certain embodiments, as the concrete drum rotates, the sensor(s), which may be fixed inside the drum, will rotate in and out of the grey water (referred to as entry and exit events, respectively). By tracking either or both the fraction of time or container rotation that the sensor(s) are in contact with the grey water (referred to as submersion fraction), or the fraction of time or container rotation that the sensor(s) are not in contact with the grey water (referred to as inverse fraction), the volume of grey water in the container (e.g., drum volume) can be determined. For example, in some embodiments, a calibration curve can be used that relates the submersion fraction (or inverse fraction) to the volume of grey water. This calibration curve can be derived from the shape of the drum or can be developed based on empirical testing. In certain embodiments, both sampling rate and track angle data can be verified to achieve sufficient accuracy.Using this information, the desired moisture content is designed for the next batch to be dumped into the mixer drum. Adjustments can be made in terms of water content, cement content and / or admixture content to maintain rheology and strength development, or in response to detecting the presence of grey water, the grey water can be drained from the concrete mixer drum so that it does not affect the properties of the next batch to be added to the mixer drum, or less than all of the grey water can be drained and the remainder can be used for the next batch to be added to the mixer drum.

[0014] In certain embodiments, methods and systems are provided for determining the moisture content of a vessel such as a mixer drum, thereby enabling accurate batching of input material such as concrete, or alerting an operator to the presence of water, prompting him to drain some or all of it from the vessel before adding the next batch. In some embodiments, the methods include comprising a concrete mixer drum having an interior and a rotating axis; one or more sensors mounted at locations within the interior volume of the mixer drum, such as an interior wall of the drum or a hatch in the drum, such that during rotation of the mixer drum, the sensor(s) separately reach both submerged and non-submerged states in the water interior of the drum and generate signals indicative of each state; rotating the concrete mixer drum such that the sensor(s) separately reach both submerged and non-submerged states in the water interior of the drum; determining an angle between the axis of rotation of the concrete mixer drum and the horizontal; detecting when the sensor(s) reach a submerged state (or non-submerged state) and the mixer drum is in a position to detect the water content of the concrete mixer drum; determining a fraction of a revolution at which the presence of water (or absence of water) in the third drum is detected; providing data relating the fraction of a complete revolution of a vessel similar or identical in shape to the mixer drum at which the sensor(s) detect the presence of water to the volume of water in the vessel; determining the amount of water in the mixer drum by comparing the determined fraction of a complete revolution at which the sensor detects the presence of water with the data and the angle between the axis of rotation of the concrete mixer drum and the horizontal; and generating a warning that the measured amount of grey water is above a predetermined limit and adjusting processing of the next batch to account for the determined amount of water, or draining the water from the drum prior to processing the next batch to prevent the water in the mixing drum from interfering with the next batch.

[0015] In some embodiments, a method is provided for determining the grey water content remaining in a mixer drum from a previous concrete charge that has already been discharged from the mixer drum in order to provide accurate batching of new concrete charges into the mixer drum. The method comprises: (A) a concrete drum mixer having an interior volume and a rotating shaft; (B) at least one sensor mounted at a location within the interior volume of the mixer drum such that during rotation of the mixer drum, the sensor separately attains both submerged and non-submerged conditions of the interior and generates a signal indicative of each of said conditions; (C) rotating the concrete mixer drum such that the sensor separately attains both a submerged and non-submerged state within said interior; (D) Determine the angle between the axis of rotation of the concrete mixer drum and the horizontal; (E) determining a submerged or inverted fraction reached by the sensor based on the rotation of step (C); (F) providing data correlating the submerged or inverted fraction to a corresponding volume of water in a vessel substantially geometrically similar to said mixer drum; (G) determining the grey water content in the mixer drum by comparing the submerged fraction determined in step (E) with the data from step (F) and the angle between the axis of rotation of the concrete mixer drum and the horizontal determined in step (D); and (H) generating an alert if the detected grey water content is greater than a predetermined limit, modifying the percentage of water in the fresh concrete charge based on the grey water content determined in step (G), draining at least a portion of the grey water from the mixer drum based on the grey water content determined in step (G), or any combination thereof. The present invention comprises the steps of:

[0016] In certain embodiments, in the above methods, as well as other methods disclosed herein, the grey water preferably has a specific gravity of less than 1.61, more preferably less than 1.36, and most preferably less than 1.2, which roughly corresponds to a water-to-cementitious ratio of 2.5, 5, and 10, respectively. That is, the grey water can be said to have a water-to-cementitious ratio of preferably greater than 2.5, more preferably greater than 5, and most preferably greater than 10. Grey waters meeting these criteria will have a viscosity in the range of 0.001-1.00 Pa.s; and more preferably 0.001-0.100 Pa.s. In some embodiments, in the above methods, as well as other methods disclosed herein, the sensor(s) are selected from light scattering sensors, acoustic sensors, infrared sensors, microwave sensors, or mixtures thereof. For example, when more than one sensor is used, the sensors can be any combination of electrical resistance sensors, capacitance sensors, acoustic sensors, microwave sensors, nuclear resonance sensors, or optical sensors. In certain embodiments, the methods described above, as well as other methods disclosed herein, include a three-axis accelerometer on the drum to account for the angular tilt of the drum in calculating the grey water in the drum.

[0017] In certain embodiments, the submersion fraction (or reverse submersion fraction) can be determined using a position determining device such as an accelerometer and calculating the fraction of the drum revolution the sensor is submerged (or not submerged). In certain embodiments, the submersion fraction (or reverse submersion fraction) can be determined by using a time determining device such as a clock to determine the amount of time the sensor is submerged (or not submerged) relative to the amount of time for a complete drum revolution. For example, a first time stamp can be recorded when the sensor enters the grey water and a second time stamp can be recorded when the sensor leaves the grey water. The difference between these two time stamps can be related to the time of a complete drum revolution to calculate the submersion fraction. A clock or other timing mechanism, such as a clock in communication with the sensor and / or processor, can be used to determine such various times.

[0018] In a particular embodiment, a system for determining a volume of grey water remaining in a vessel having an interior volume and an axis of rotation after a first cement charge is discharged from the vessel is disclosed, the system comprising: a motor for rotating the vessel at least one complete revolution so as to be able to determine the angle of the vessel's axis of rotation relative to the horizontal; at least one sensor in the interior volume of the vessel positioned to be submerged in the grey water within the vessel during a first portion of one complete revolution and not submerged in the grey water within the vessel during a second portion of one complete revolution, the at least one sensor generating a first signal when submerged and a second signal when not submerged; a position determining device, such as an accelerometer, for determining a submersion fraction (or reverse fraction), which is the portion of a complete rotation in which the sensor is submerged (or the portion of a complete rotation in which the sensor is not submerged); or a time determining device, such as a clock, for determining the submersion fraction or reverse fraction; a processor configured to communicate with the at least one sensor to receive the first and second signals, and to communicate with the position determining device or the time determining device, and to calculate a ratio of the first portion or the second portion per one complete rotation, and to determine a volume of grey water in the container based on the ratio; The present invention relates to a method for producing a semiconductor device comprising the steps of:

[0019] The system may also comprise a memory in communication with the processor, where the memory includes, for example, a calibration curve correlating a ratio of the submerged fraction to each volume of water in a container substantially geometrically similar to the container in which the grey water is determined, where the processor uses the calibration curve in determining the volume of grey water in the container based on the ratio. The memory may additionally or alternatively include a geometric representation of the container, where the processor may use the calibration curve to determine the volume of grey water in the container based on the ratio. The volume of the grey water is determined using a geometric representation of: In some embodiments, the vessel is a concrete mixer drum.

[0020] In certain embodiments, disclosed is a system for determining a grey water content remaining in a vessel having an interior volume and an axis of rotation after a first cement charge is discharged from the vessel, the system comprising: Rotatable concrete mixer drum with internal volume; at least one sensor within the interior volume of the rotatable concrete mixer drum arranged such that during rotation of the rotatable concrete mixer drum, the at least one sensor separately attains both a submerged condition and a non-submerged condition within the interior volume and generates a signal indicative of each such condition; a position determining device, such as an accelerometer, for determining a submersion fraction (or reverse fraction), which is the portion of a full rotation in which the sensor is submerged (or the portion of a full rotation in which the sensor is not submerged); or a time determining device, such as a clock, for determining the submersion fraction or reverse fraction; and A processor having a memory including instructions, which when executed by the processor enable the system to: determine a submerged fraction of the rotation of the rotatable concrete mixer drum while the sensor is in a submerged state, or determine a reverse submerged fraction of the rotation of the rotatable concrete mixer drum while the sensor is in a non-submerged state; correlate the submerged fraction or reverse submerged fraction to a corresponding volume of water in a vessel substantially geometrically similar to the concrete mixer drum; and determine a volume of grey water in the concrete mixer drum based on the correlation. In some embodiments, the memory can also include instructions, which when executed by the processor, use an angle between an axis of rotation of the rotatable concrete mixer drum and the horizontal to determine a volume of grey water in the concrete mixer drum based on the correlation.

[0021] Further advantages and features of the embodiments disclosed herein will now be described in detail. [Brief description of the drawings]

[0022] The advantages and features of the embodiments disclosed herein may be more readily understood when the following description of the preferred embodiments is considered in conjunction with the drawings. [Figure 1] 1 is a graph showing an example concrete drum shape including a hatch and a motor. [Diagram 2] 1 is a graph of initial slump measurement versus number of doses for the same mix design according to the prior art. [Diagram 3] 1 is a graph showing the water pressure difference caused by varying the drum water volume according to the prior art. [Figure 4] FIG. 2 is a block diagram of a process according to certain embodiments. [Diagram 5] 5a and 5b are graphs showing how drum angle affects water distribution within a concrete mixer drum, respectively. [Figure 6] 1 is a graph illustrating sensor locations in accordance with certain embodiments. [Figure 7] 1 is a graph depicting a plan view of multiple sensors attached to a drum hatch in accordance with certain embodiments. [Figure 8] 1 is a graph of acceleration versus time showing the output of an accelerometer mounted on a rotating drum in accordance with certain embodiments. [Figure 9] 11 is a graph of the sensor's analog signal versus time showing the output along with the accelerometer output as the sensor begins to submerge and unsubmerse in grey water in a rotating drum, according to certain embodiments. [Figure 10] 2 is a block diagram of certain components of a system in accordance with certain aspects. [Figure 11] 11a and 11b are graphs each showing an exemplary process for a particular embodiment where the probe is in contact with water in a concrete mixer drum. [Figure 12] 12a is a graph of submerged fraction versus fluid volume of a complete revolution showing the relationship between the volume of water detected in a concrete mixer drum and the fraction of revolution of the vessel where the probe is in contact with the water based on the drum geometry according to certain embodiments. FIG. 12b is a graph of submerged fraction versus fluid volume showing the relationship between the volume of water detected in a concrete mixer drum, the angle of the truck, and the fraction of revolution of the vessel where the probe is in contact with the water based on the drum geometry according to certain embodiments. [Figure 13] FIG. 13 is a graph of submerged fraction of a complete revolution versus fluid volume showing the relationship between the volume of water detected in a concrete mixer drum and the fraction of a revolution of the vessel where the probe is in contact with the water based on the drum geometry for one drum angle in accordance with certain embodiments. [Figure 14] FIG 14a is a graph of fluid volume vs. data collection rate, illustrating the relationship of data collection rate based on fluid volume for two drum angles with a drum speed of 2 rpm and a precision of 2 gallons according to certain embodiments. FIG 14b is a graph of fluid volume vs. data collection rate, illustrating the relationship of data collection rate based on fluid volume for two drum angles with a drum speed of 6 rpm and a precision of 2 gallons according to certain embodiments. FIG 14c is a graph of fluid volume vs. data collection rate, illustrating the relationship of data collection rate based on fluid volume for two drum angles with a drum speed of 20 rpm and a precision of 2 gallons according to certain embodiments. [Figure 15] 1 is a graph of detected track angle versus minimum volume in accordance with certain embodiments. [Figure 16] 1 is a graph of actual water volume versus expected water volume, where the amount of water is determined using when the probe is in contact with the water based on the shape of the drum, according to certain embodiments. [Figure 17] 1 is a graph of actual water volume versus expected water volume, where an empirical relationship between moisture content and water meter reading is used to determine the amount of moisture remaining in a concrete mixer drum in accordance with certain embodiments. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0023] DETAILED DESCRIPTION OF ILLUSTRATIVE EMBODIMENTS The term "concrete" refers to cement (which often includes porosophical materials such as limestone, fly ash, ground blast furnace slag) and aggregates (e.g., sand, gravel) and optionally one or more chemical admixtures (e.g., plasticizers to increase workability, set accelerators, set retarders, air entrainers, air scavengers, plastic shrinkage reducing admixtures, corrosion inhibitors (for rebar), or other admixtures which modify the properties of the concrete, whether the concrete is in its plastic or hardened state).

[0024] As used herein, the term "cement" includes hydratable cements such as Portland cement, which is produced by grinding a clinker consisting of hydraulic calcium silicates, aluminates, and ferroaluminates, and one or more forms of calcium sulfate (e.g., gypsum) as an interground additive. Typically, Portland cement is combined with one or more supplementary cementitious materials, such as fly ash, ground blast furnace slag, limestone, natural porphyron, or mixtures thereof, and provided as a blend. Thus, "cement" and "cement binder" can also include supplementary cementitious materials interground with Portland cement during manufacture. The term "cementitious" as used herein refers to materials that comprise Portland cement or that otherwise function as a binder to hold together fine aggregates (e.g., sand) and coarse aggregates (e.g., crushed gravel, stone) used to make concrete.

[0025] As used herein, the term "hydratable" refers to a cement or cementitious material that hardens by chemical interaction with water. Portland cement clinker is a partially fused mass that contains primarily hydratable calcium silicates. Calcium silicates are essentially tricalcium silicate (3CaO·SiO2 or "C3S" in cement chemistry notation) and silicate. It is a mixture of dicalcium oxide (2CaO·SiO2, “C2S”), where the former is the predominant form, tricalcium aluminate (3CaO·Al2O3, “C3A”) and ferroaluminate. The amount of tetracalcium phosphate (4CaO·Al2O3·Fe2O3, “C4AF”) is smaller. For example, See Dodson, Vance H., Concrete Admixtures (Van Nostrand Reinhold, New York, NY 1990), p. 1.

[0026] The term "aggregate" as used herein means and refers to particles of sand or stone used in building materials such as concrete, mortar and asphalt, and generally includes granular particles having an average size between 0 and 50 mm. Aggregates may comprise calcareous, siliceous or siliceous limestone materials. Such aggregates may be natural sands (e.g. derived from weathered glacial, alluvial or marine deposits where the particles generally have smooth surfaces) or may be of the "manufactured" variety produced using mechanical crushers or grinding equipment.

[0027] The terms "water meter" and "humidity meter" refer to measuring devices that can determine either the presence of water or even the actual amount of moisture in a given material. Of the first type, there are meters that can send an alert to a homeowner if a leak is detected around an appliance, such as a water heater (see, for example, U.S. Pat. No. 8,922,379). Of the second type, there are aggregate moisture meters that can measure the moisture content of, for example, an aggregate sample. Both types of water meters can use several different types of technologies, such as, for example (but not limited to), measuring electrical resistance (see, e.g., U.S. Pat. No. 4,438,480), measuring electrical permittivity (see, e.g., U.S. Pat. No. 4,438,480), measuring microwaves (see, e.g., U.S. Pat. No. 4,033,321), measuring nuclear resonance (see, e.g., U.S. Pat. No. 4,033,321), measuring infrared waves (see, e.g., U.S. Pat. No. 4,033,321), and measuring light scattering (see, e.g., U.S. Pat. No. 4,263,511), particularly measuring light scattering of turbidity (see, e.g., U.S. Pat. No. 2,324,304). The disclosures of each of the foregoing are incorporated herein by reference. Either type can detect when the sensor is in contact with water or grey water, even at very low levels.

[0028] Automated concrete slump control (monitoring) systems for controlling slump or other flow properties are commercially available, for example from Verifi LLC, 62 Whitmore Street, Cambridge, Massachusetts, USA, and are described in the patent literature, for example, U.S. Pat. Nos. 8,020,431; 8,118,473; 8,311,678; 8,491,717; 8,727,604; 8,746,954; 8,764,273; 8,818,561, 8,989,905, 9,466,803, 9,550,312; PCT / US2015 / 025054 (Publication No. WO 2015 / 160610 A1); and PCT / US2014 / 065709 (Publication No. WO 2014 / 065709). No. 2015073825 A1) discloses various automated concrete monitoring methods and systems, each of which is incorporated herein by reference.

[0029] Alternatively, the slump monitoring system may be a force sensor mounted within the drum as taught in U.S. Pat. No. 8,848,061 and U.S. Pat. No. 5,393,433 to Berman (Sensocrete / GCP Applied Technologies), U.S. Pat. No. 9,199,391 to Denis Beaupre et al. (IBBRheologie Inc.), or U.S. Pat. Pub. No. 2009 / 0171595 and WO 2007 / 060272 to Benegas. The disclosures of each of the above are incorporated herein by reference.

[0030] The term "batch process" refers to the process of adding concrete material ingredients, such as cement, fine and coarse aggregates, water, fiber, and chemical admixtures, to a mixer drum. Typically in a ready-mix concrete plant, the fine and coarse aggregates are transported to a weighing hopper to measure the amount of material needed to be loaded or batched into a concrete truck. After weighing, the fine and coarse aggregates are dumped onto a conveyor belt and then dumped into the mixer drum of the concrete truck. Fine powders, such as cement and fly ash, are typically fed directly from a silo on the concrete truck to the mixer drum. Water and chemical admixtures are pumped through a liquid distributor. The order of addition can vary greatly depending on the plant. Typically, the coarse aggregates are loaded onto a conveyor belt and the fine aggregates are loaded on top. While this is being loaded into the mixer drum, most of the water is added. When most of the aggregates have been loaded, the fine powders begin to be added at the same time. After all the dry materials have been batched, the remaining water is typically added last along with the chemical admixtures. During this process, the concrete mixer truck rotates the drum at high speeds, typically between 10 to 20 rpm, to facilitate mixing of the batch ingredients.

[0031] The term "grey water" refers to the material carried over in a mixer drum or other similar container after the transport and discharge of the concrete charge, and more often after rinsing of the drum after the transport and discharge of the concrete charge. In such cases, the material mainly comprises water, cement and admixtures, but small amounts of aggregates, e.g. sand and stones, will remain in the drum. Due to the washing process, the viscosity and specific gravity of grey water differs significantly from concrete. In particular, concrete generally has a viscosity on the order of 10 to 100 Pa.s, whereas grey water generally has a viscosity on the order of 0.001 to 1 Pa.s. Furthermore, the specific gravity of concrete is generally above 2.3, whereas the specific gravity of grey water is generally below 1.8. This corresponds to a water-to-cementitious ratio of more than 1.68, which is much higher than the water-to-cementitious ratio of any real concrete.

[0032] The term "submerged fraction" refers to the fraction of a full vessel rotation in which a sensor designed to detect the presence of grey water is submerged in the grey water. The term "reverse fraction" will refer to the fraction of a full vessel rotation in which the sensor is not submerged.

[0033] The phrases "substantially similar" mixer drums or vessels or "substantially geometrically similar" mixer drums or vessels shall mean mixer drums or vessels in which the same grey water volume vs. submerged fraction relationship can be used to determine the grey water volume in another mixer drum within an accuracy of at least 10 gallons, and more preferably within 5 gallons. Mixer drums are manufactured by several different companies, including McNeilus, Beck, Kimble, Contech, Continential, Schwing, and others. Mixer drums are often welded together by hand, including fins within the drum to aid in mixing the contents. In such cases, it is rare to find two identical drums. However, differences within mixer drum models from the same manufacturer are generally negligible for purposes of this specification, and the same grey water volume vs. submerged fraction relationship can be used between such drums. Thus, once grey water volume vs. submerged fraction data is obtained for one drum, such data can be used as a reference to determine the grey water volume in other drums that are substantially geometrically similar. However, two drums from different manufacturers may require different calibrations or it may be necessary to include factors to account for differences in drum geometry.

[0034] The term "drum length" refers to the length of the drum [2] along the axis of rotation. The "head" [4] of the drum [2] refers to the side of the drum along the axis of rotation that is open to the atmosphere. This opening is where the concrete ingredients are batched through. The "tail" [6] of the drum [2] refers to the side along the axis of rotation opposite the head [4]. In the embodiment shown in FIG. 1, the axis of rotation is shown as the x-axis, with the head [4] of the drum at the far right and the tail [6] of the drum at the far left, next to the motor

[10] . The motor

[10] that rotates the drum [2] is located at the x-position of 0. The rectangle containing the double X represents the concrete drum hatch [8]. The hatch [8] is a removable section of the drum [2] that allows access to the drum for maintenance purposes.

[0035] In Figure 2, the deviation from the desired initial slump as measured by an automated slump monitoring system over time for the same mix design is shown. In this particular plant, slump racks were taken and considered with the aggregate moisture meter functioning. The high variability shown is the result of the drum not being emptied completely, either after the concrete charge was delivered and discharged, or after the drum was rinsed after the concrete charge was delivered and discharged, resulting in the presence of grey water in the drum prior to the addition of the next charge or batch to the drum. Such variation in slump due to remaining drum water also means that the resulting strengths are highly variable.

[0036] Using a current automated slump monitoring system, we attempted to see if remaining water could affect the signal of sensors currently used to measure slump. In FIG. 3, the water pressure used to calculate slump as taught, for example, in U.S. Patent Nos. 8,020,431 and 8,746,954 is plotted against the water content. This was done for three different drum speeds: 5, 11 and 19 rpm. For the lowest speed, it can be seen that the relationship between water volume and water pressure is not monotonic. Thus, at a water pressure of about 36 psi, the water volume could be 37 gallons or 90 gallons; therefore, this cannot be used as a predictor of water volume. At faster speeds, the relationship becomes monotonic; however, there is very little appreciable change in pressure. For a drum speed of 11 rpm, a 1.1% change in pressure (from 125 to 126 psi) results in a 102% change in volume. Similarly, for a drum speed of 19 rpm, a 2.0% change in pressure (from 289 to 294 psi) results in a 102% change in volume. The sensitivity of this method is therefore quite limited.

[0037] In FIG. 4, the steps of an exemplary embodiment are presented. In block 12, a sensor attached to a rotatable container is monitored as it rotates in and out of the grey water. The container must rotate so that the sensor reaches both submerged and non-submerged states at least once (block 14). In a particular embodiment, the rotating container is a concrete mixer drum, e.g., a mixer drum attached to a truck, such as a premixed concrete truck. Alternatively, it can be part of what is known as a wet batch plant or central mix plant, where a large drum mixes the ingredients and then unloads the material into a premixed truck or a simple dump truck to be transported to a job site. In block 14, additional rotations can improve the accuracy and repeatability of the measurements from the sensor signal. The drum angle between the axis of rotation of the container and the horizontal is also recorded during this stage. For example, this is recorded as an average angle over the rotation. Alternatively, the angle between the container and the truck is fixed and known or measurable (this is typically 13 degrees), so the angle of the truck relative to the horizontal can be recorded. A simple calculation is required to subtract the angle between the vessel and the truck to get the absolute angle between the vessel's axis of rotation and the horizontal. Therefore a device capable of measuring angles relative to the horizontal can be attached either to the mixer drum, such as an accelerometer, or to the frame of the truck.

[0038] In block 14, concrete mixer such as on the inner wall or hatch of the mixer drum The change in signal from a water detection sensor mounted inside the drum is monitored over time or revolutions. In certain embodiments, the sensor can be placed at a position along the drum length to allow detection of the minimum volume of grey water desired (e.g., 5 gallons). Figures 5a and 5b show a drum with two different drum angles. The hatch is designed as [8], the flute cross section is designed as

[32] , and the grey water is represented as

[34] . For a truck with a flat wheelbase and a drum angle of 13° to the horizontal (which represents a typical drum angle), this would appear in Figure 5a at an x-position of about 50. In some concrete production plants, it is common to find a slope under the batch hopper that feeds the concrete truck (typically a 4° slope). This slope serves the angle of the opening of the concrete drum to receive the material being batched. That is, in a rear-loading concrete truck (where the head of the drum, or the opening of the drum, is the rear), the location of the sensor would be closer to the tail of the drum (where the drum is attached to a motor that rotates the drum), as shown in FIG. 5b at an x-position of about 23. In either example, other factors also contribute to the location of the sensor: for example, the ease of installation of the sensor, its relative position to the drum's wings, and the possibility of concrete build-up (hardened concrete in the concrete drum, which often results from poor drum maintenance). Most preferably, the sensor should be in the bottom 1 / 3 of the drum length (along the x-axis of FIG. 1), closest to the tail (e.g., shown at the bottom left of the drum in FIG. 1[4]). For the concrete drum shape shown in the example FIG. 1, the preferred location of the sensor is attached to the drum surface at an x-position of less than about 55. Most preferably the sensor location will be above the hatch (represented as a rectangle with a double X in Figure 1[6], Figure 4a[8] and Figure 4b[8]) to allow for easy installation and maintenance. Apart from the location along the drum length, the height of the sensor is also important. Figure 6 shows an example of a sensor

[40] location, where the height is measured from the inner surface of the drum, which is the distance between the two arrows

[42] . Ideally the sensor should be close to the inner surface of the drum (i.e. flush with the inner drum surface, height 0) to detect the lowest level of water. However, there may be mechanical limitations such as space for electronics to allow the sensor to extend into the internal volume of the drum. As a result the height of the sensor is less than 8 inches, more preferably less than 2 inches, and most preferably less than 0.5 inches, measured radially from the drum surface. It is conceivable that concrete build-up could cover the sensor. However, in this case the output from the sensor would not change, indicating that the sensor needs to be cleaned.

[0039] A suitable sensor must be capable of distinguishing between when the sensor is submerged and when it is not submerged. In other words, when the sensor is in contact with grey water, the output produced must be distinguishable from the output when the sensor is not in contact with grey water. Thus, a binary signal is appropriate to determine contact with water. For example, when submerged, a sensor based on electrical resistance will show a significant drop in resistance if grey water is a conductive medium. The absolute measurement is not important, but rather the difference between the two states. A sensor based on electrical permittivity will show an increase in permittivity when the sensor is in contact with grey water. And a sensor designed to measure turbidity will measure a significant increase in turbidity when the sensor is in contact with grey water. Suitable sensors may therefore utilize electrical resistance (see, for example, U.S. Pat. No. 4,438,480), electrical permittivity (see, for example, U.S. Pat. No. 4,438,480), microwaves (see, for example, U.S. Pat. No. 4,033,321), nuclear resonance (see, for example, U.S. Pat. No. 4,033,321), infrared waves (see, for example, U.S. Pat. No. 4,033,321), sound waves (see, for example, U.S. Pat. Nos. 2,324,304 and 4,263,511), and light scattering (see, for example, U.S. Pat. Nos. 2,324,304 and 4,263,511). From the signal, the submerged or inverted fraction can be calculated in several ways. The disclosures of the aforementioned patents are incorporated herein by reference. It is also envisioned that multiple sensors may be used to increase the accuracy of the measurement or to provide redundancy in case one sensor malfunctions. If the redundant sensors fail, the system may be unable to detect the presence of the signal. The system can detect this malfunction and substitute another sensor and also alert for the malfunction. These sensors [46 and 48] can be mounted on the hatch [8], for example, in the arrangement shown in Figure 7. The sensors

[46] and

[48] in the example shown in Figure 7 can be either the same type of sensor or different types of sensors. When different types of sensors are used, the sensors can be spaced apart to minimize the effect of each sensor on the other's measurements. For example, the sensors can be closely spaced if there is no effect because they measure different physical phenomena. Furthermore, such sensors can be powered by various means, such as by batteries (which may be rechargeable) or solar panels, or a combination of both.

[0040] For example, in certain embodiments, the grey water content information determined from the sensor can be paired with a position sensing device, such as a decoder or accelerometer attached to the surface of the mixer drum, to ascertain the fraction of a complete rotation in which the sensor is in contact with the grey water versus the fraction of a complete rotation in which the sensor is not in contact with the grey water. Vertical acceleration (accounting for the effects of gravity) is naturally continuous as the drum rotates. In FIG. 8, the vertical acceleration of an accelerometer fixed to the surface of the mixer drum is plotted against time for one rotation. It is clear in this figure where the accelerometer moves up, down, and to maximum and minimum points during the rotation. In this drawing, the drum is moving clockwise as an observer looks into the drum. At zero vertical acceleration (time=0 seconds), the accelerometer is at the top of the drum accelerating only to the right (and not downwards). At time=0.05 seconds, the accelerometer is at the rightmost point of the drum and accelerating purely downwards with gravity just above 1g. At a time equal to about 0.078 seconds, the accelerometer is again not moving up or down, but purely to the left. At a time equal to about 0.115 seconds, the accelerometer is moving purely up (against gravity), and finally at a time equal to about 0.15, the accelerometer indicates completion of the rotation. During the rotation of the concrete drum, the accelerometer will monitor the position of the drum. Since the location of the accelerometer on the drum is fixed, the distance the physical sensor travels in the rotation is also fixed. During the rotation of the drum, the accelerometer can report the position of the drum as the grey water detection sensor signals both in and out of the grey water. By knowing the distance the accelerometer travels in one complete rotation and comparing the two states of the drum position, the fraction of the complete rotation that the grey water sensor is in contact (or not in contact) with the grey water can be directly determined. Note that the accelerometer does not necessarily have to be in the same location as the grey water detection sensor. The important factor is that the sensor enters the grey water and takes the relative difference between the drum conditions corresponding to the in and out events. Furthermore, the drum speed need not be constant during this process. It is preferred that the submerged or inverted fraction be measured over multiple revolutions so that an average value can be used.

[0041] In some embodiments, the time the sensor is in contact with the grey water versus the time the sensor is not in contact with the grey water can be measured. By calculating the time the sensor is submerged and comparing it to the total time of the drum rotation, for example, a submersion factor can be calculated (return to FIG. 4, block 16). FIG. 9 shows sensor readings over time into and out of the water in a ready-mix concrete truck containing 50 gallons of grey water. For the first rotation starting at time 0, the sensor begins to leave the water. At approximately 22 seconds, the sensor enters the water and the sensor output reading changes (the turbidity sensor in this example). The sensor leaves the water at approximately 28 seconds, completing the drum rotation. Thus, using the in and out times, the percentage of contact with the water is (28-22) / (28-0)=21.4%. In this example, the total time of the rotation must be known. This can be determined by either determining the time from one incoming event (when the sensor enters the grey water) to the next incoming event (or equivalently from one outgoing event (when the sensor leaves the grey water) to the next outgoing event). Alternatively, if the drum is known to move at a constant speed, and the rotational speed is known, then the total time for each revolution is constant (and can be calculated as 1 for the drum speed). (In FIG. 9, there is considerable variation in the readings once the sensor is underwater. This is due to waves created by the sensor moving through the fluid. By averaging the results over several revolutions, a more accurate estimate of the water can be obtained. Also, sensors designed to minimize wakes as the sensor moves through the fluid can reduce signal variation. Alternatively, the signal variation can be used to advantage, noting that the variability in this example is significantly elevated in grey water compared to air. Thus, it is envisioned that using a measure of variability such as the standard deviation can provide an indication for determining when a given sensor is submerged or not submerged. Note that in this embodiment, it is most preferred that the drum moves at a constant speed.

[0042] In some embodiments, once the submerged fraction (or inverse fraction) is known, a calibration curve relating the submerged fraction (or inverse fraction) to the volume of water can be used to determine the volume of water in the mixer drum (return to FIG. 4, block 18). The curve can be derived in several ways. One is to use the shape of the concrete mixer drum and the location of the probe within the drum (including the height of the sensor relative to the surface of the drum) to derive the volume of grey water within the drum directly based on the fraction of revolutions, where the sensor is in contact with the grey water at a given point on the concrete mixer drum and drum angle relative to the horizontal. For example, a three-dimensional computer-aided design (CAD) model can be created that reflects the size and shape of the concrete mixer drum. In addition to the drum shell, any fins that may be present within the drum to aid in mixing can also be included. This can be done by using blueprints from the actual drum design (available from the manufacturer), by taking physical measurements of the drum, or by using a laser scanner to measure the drum. Within the three-dimensional model, a model of the sensor can be inserted at a particular location and height. The entire model (drum and sensor) can be tilted to represent different drum angles (angle between the axis of rotation and the horizontal). Based on this tilt, a level surface is inserted into the model to represent the surface of the grey water. The volume of grey water for a particular surface height within the model of the drum can be calculated using a standard volume method, often provided by CAD software. For a given volume of water, the model can be rotated about the axis of rotation of the drum (e.g. the model can be redrawn every 1° of rotation). The location of the sensor can be tracked throughout the rotation, and the rotational position of the drum can be ascertained when the sensor contacts the grey water surface. Using this information, the fraction of a complete rotation where the sensor is submerged below the grey water surface can be determined. This can be repeated for multiple grey water volumes to find the volume vs. A calibration curve for the fraction of a full revolution can be generated using conventional curve fitting techniques, or a look-up table can be generated.

[0043] Another method for constructing a calibration curve for determining grey water volume is to create a database of submerged fractions (or inverse fractions) and corresponding known water volumes, from which an empirical relationship can be developed to predict water volume based on the percentage of a revolution in which the sensor is in contact (or not in contact) with the grey water. For example, a concrete mixer drum can be filled with a series of different known volumes of water (which can be readily supplied at a concrete production facility). For each volume of water, the mixer drum can be rotated, preferably more than once, during which the sensor output can be recorded. The data can then be analyzed to determine the fraction of a complete revolution that corresponds to each known volume. Using this information, any Conventional curve fitting techniques can be used to generate the calibration curve, or a look-up table can be generated.

[0044] Any of these methods of correlating the sensor measurements with the volume of water can be supplemented with information about the surface area of ​​the drum. That is, once the drum is wet after the first batch, water may be present on the inner surface of the drum. This is because the surface area of ​​the prepared truck is large. It would not be possible to ignore it. In fact, simple wet or dry conditions can be used with the water on wetness measured either through weighing the truck or drum before and after wetting, or simply estimating the amount of water attached to a unit surface area of ​​metal (e.g., 200 g per square meter). Note that this water that attaches to the surface stays on the surface and is not drained off. It is therefore not part of the "grey water" and is more than a factor for the first charge that is batched in a dry drum. Extra water would have to be added to compensate for this. This is why a given truck often has a low slump on the first charge day. For example, the concrete mixer drum in FIG. 1 has a surface area of ​​about 302 square feet. Assuming the interior surface has 0.05 pounds of attached water per square foot, the interior surface of the drum contains about 2 gallons of water. Thus, for the first batch of concrete, an additional 2 gallons of water should be added if the interior surface of the drum is dry. Another consideration is the build-up of hardened concrete in the drum. This often occurs due to poor maintenance, hot weather (which speeds up the hardening of concrete), or mix designs that include hydration accelerators. If the buildup of hardened concrete in the drum is determined to be significant for a particular drum (e.g., visual inspection of the drum can reveal significant buildup), the information from the grey water sensor can be altered or ignored. If the grey water sensor is covered by hardened concrete, the output will not change dramatically throughout the revolution even when the drum is intentionally filled with water or concrete. This signal can be used to warn that concrete buildup is occurring and that the grey water sensor needs to be cleaned. Alternatively, the buildup measurement can be turned off if the buildup exceeds a predefined limit. If the actual grey water content is known, a warning can be sent if the measured grey water content exceeds a predefined limit, such as 20 gallons of water, or more preferably 10 gallons, or most preferably 5 gallons of water.Instead of or in addition to the warning, the amount of water to be batched for the next immediate charge into the mixer truck of the same current concrete mixer drum can be adjusted accordingly (block 20). A batch man, quality control manager or other coordinator can then be informed of this change. Alternatively or in addition, the batching material for the next concrete charge into the current concrete mixer drum can be adjusted based on the grey water content. For example, the water to be batched can be reduced by a measured amount. Or the cement amount can be increased, for example to maintain the intended mix ratio between water and cement. It is envisaged that admixtures can also be added to compensate for the additional water detected by the grey water sensor. Alternatively, grey water can be drained from the concrete mixer drum.

[0045] In some embodiments, the system may include a processor having a memory element. The processor may be a general purpose computing device such as a microprocessor. Or, it may be a specialized processor such as a programmable logic controller (PLC). The memory element may utilize any storage technology, such as RAM, DRAM, ROM, Flash ROM, EEROM, NVRAM, magnetic media, or any other medium suitable for retaining computer readable data and instructions. The processor may be in electronic communication (e.g., wired, wireless) with a sensor that may generate a signal indicative of when the sensor is submerged in water and a different signal indicative of when the sensor is not submerged in water. The processor may also be in electronic communication (e.g., wired, wireless) with a positioning device such as an accelerometer that may generate a signal indicative of a position of a container such as a concrete mixer drum. The processor may also be associated with a human machine interface or HMI that displays or otherwise indicates to an operator the determined volume of grey water in the container. The memory element may include instructions that, when executed by the processor, enable the system to perform the functions described herein. In some embodiments, the calibration The velocities of the velocities of the mixing drum may be stored in the stored data. For example, this may be stored as a table, a formula, or a set of formulas. In some embodiments, the shape of the mixer drum may be stored in the stored data. In some embodiments, more than one processor may be used, such as a processor in communication with the sensor that can generate a signal indicative of when the sensor is submerged in water and a different signal indicative of when the sensor is not submerged in water, and another processor in communication with the position determining device.

[0046] The rate at which data is collected can also be considered to achieve acceptable accuracy. The slope of the fluid volume versus submerged fraction of rotation as constructed according to embodiments disclosed herein increases as the submerged fraction of rotation increases. In other words, at lower fractions, a relatively small change in fluid volume occurs for a relatively large change in submerged fraction. On the other hand, at higher fractions, a large change in volume is experienced for a relatively small change in submerged fraction (the slope of the fluid volume-submerged fraction curve becomes steeper). In practice, the output of the sensor is recorded at a given interval. Between realistic measurements, it is not known if a change in the submerged state of the sensor has occurred. One remedy is to take measurements at smaller time intervals. Depending on the sensor, this can dramatically increase the output requirements. It is therefore desirable to have a minimum data collection rate for a given accuracy. The mixer drum speed can be used to calculate the angle the drum rotates over a given time interval. For example, at a drum speed of 2 rpm, the drum rotates 12 degrees per second. If data is collected every second, there are 12 degrees where the sensor is not known to be in or out of water. This is 3.33% of a full revolution. At a drum speed of 20 rpm, the drum rotates 120 degrees per second. If data is collected every second, there is 1 / 3 of a full revolution during which the sensor does not know whether it is in or out of the grey water. Thus, for drum speeds of 2 revolutions per minute or less, the sensor preferably makes at least 5 measurements per second, and more preferably 10 measurements per second, and most preferably 20 measurements per second. For drum speeds of 6 revolutions per minute or less but greater than 2 revolutions per minute, the sensor preferably makes at least 15 measurements per second, and more preferably 30 measurements per second, and most preferably 60 measurements per second. For drum speeds of 6 revolutions per minute or less but greater than 6 revolutions per minute, the sensor preferably makes at least 50 measurements per second, and more preferably 100 measurements per second, and most preferably 200 measurements per second.

[0047] An exemplary embodiment of the system is shown in Figure 10. At block 52, measurements from the grey water sensor are sent to a processor / receiver at block 54, which then retrieves a calibration curve from a database at block 56. From the measurement readings and the calibration curve, the grey water volume is calculated. This value can then be sent to a display or other alarm mechanism as shown in block 58. Alternatively or additionally, the grey water volume is sent to a batching system, where the amount of water, cement, admixtures, or a combination thereof can be adjusted for the next batch in the current concrete mixer drum.

[0048] Although the embodiments are described herein using a limited number of embodiments, these specific embodiments are described elsewhere and are not intended to limit the scope of the invention claimed herein. Modifications and variations from the described embodiments also exist. More specifically, the following examples are provided as illustrative of the embodiments of the claimed invention. It should be understood that the invention is not limited to the specific details described in the examples. EXAMPLES

[0049] A three-dimensional mixer drum model was created using measurements of an actual concrete drum. The model sensor was introduced into the mixer drum model so that it was located in the center of the hatch of the mixer drum. The entire model (drum and sensor) was initially tilted 13° from the horizontal, which represents what is typically found in the field. Based on this tilt, the amount of material contained in the drum was calculated. A surface representing the surface of the grey water being submerged was introduced at various heights relative to the lowest point of the mixer drum. At each of the various heights, the volume between the level surface and the surface of the concrete drum could be calculated using the three-dimensional Riemann sum method. At each surface height, the mixer drum was computationally rotated and the location of the sensor with respect to the surface height was tracked. In this way, the position of the drum when the sensor was submerged below the surface could be determined. As a result, the fraction of a full rotation where the sensor was below the surface was determined for each surface height, which was then related to the volume. In this way, a relationship could be made between the volume and the fraction of a full rotation where the sensor is in contact with the grey water. This process was repeated at different drum angles. In Figures 11a and 11b, an example sensor location in a concrete mixer drum in contact with a known volume of water (15 gallons of grey water) is shown. The concrete drum outline is shown in Figure 11a, while the three-dimensional model is shown in Figure 11b. In this example, the sensor is mounted at a height of 6 inches in the center of the concrete mixer drum hatch. The sensor does not have to be located in the hatch of the drum, but this location allows easy access to the sensor for maintenance purposes. Also, often for small volumes of grey water, the hatch is a good location to ensure that the sensor can rotate in and out of the water (i.e. if the sensor is near the opening of the drum, it will not rotate in (and out) small volumes of grey water). Tilting the axis of rotation of the concrete mixer drum will change the profile of the grey water. In Figure 12a, the shape of the drum was used together with the angle between the axis of rotation of the concrete mixer drum and the horizontal to determine the relationship between the fraction of a complete revolution and the volume of grey water in the drum when the sensor is mounted at the location shown in Figures 12a and 12b. The result is not a single line, but rather there is an area due to the effect of the angle of the track shown in Figure 11b. Once this angle is known, the relationship between the volume and the fraction of a complete revolution can be shown in a single line as shown in Figure 13. EXAMPLES

[0050] In Figures 14a, 14b and 14c, the data collection rate is calculated by using the fluid volume-submerged fraction relationship found in Figure 13. In Figure 13, for example, if the actual submerged fraction is 0.15 and measurements are taken once per second, the measured submerged fraction will be anywhere between 0.12 and 0.18. Using Figure 13, a submerged fraction range between 0.12 and 0.18 translates to a fluid volume between 24.5 and 69 gallons. For different total fluid volumes, submerged fraction resolutions are derived to achieve an accuracy of, for example, 2 gallons. This data is then combined with the drum speed to calculate the number of readings required to achieve the submerged fraction target. As can be seen in Figure 14a, to achieve the 2 gallon target, approximately 25 readings per second need to be taken for a drum speed of 2 rpm. In Figure 14b, to achieve the 2 gallon target, approximately 75 readings per second need to be taken for a drum speed of 6 rpm. As can be seen from Figure 14c, for a drum speed of 20 rpm the number of readings per second is approximately 250. The drum angle does not have a significant effect in any of these examples. From a practical standpoint, it is sufficient to set the data collection rate to one value (e.g. 250 readings per second) for a given desired accuracy, e.g. 2 gallons. EXAMPLES

[0051] The location of the probe inside the mixer drum together with the angle of the truck will determine the minimum volume detectable by the sensor. The height at which the sensor sits on the inside surface of the drum will also cause the minimum volume to be recorded (the higher the sensor, the greater the minimum volume). Figure 15 shows the effect of truck angle on the minimum volume detected for this given drum geometry, with the probe placed in the center of the mixer drum hatch and a sensor height of 6 inches from the inside of the drum. Knowledge of this information can be included in grey water measurements: even if no water is detected by the sensor, for example, the minimum volume can be used to make a conservative estimate to adjust the next concrete charge to be batched, but without the problem of concrete formation. It is more preferable to make the sensor height as low as possible. EXAMPLES

[0052] A water meter (based on ISO 7027:1999) consisting of a turbidity sensor was attached inside the concrete mixer drum at a height of 1 inch from the inner surface of the drum. The time in and out of the water was also calculated by knowing the drum speed. Based on the drum geometry shown in Figure 11a and the 13° inclination of the axis of rotation of the concrete mixer drum to the horizontal, the volume of the water could be calculated based on the results from the water meter and the time fractions similar to that presented in Figure 13. The actual formula used was V = -8.76-166 x F + 0.11.1 x exp (10.774 x F), where V is the volume of grey water, F is the time of submersion fraction, and exp is the exponential function. The volume of the water was increased several times while the fractions were calculated from the average of at least three revolutions and are shown in Figure 16. Both the results from one revolution as well as the average of several revolutions are plotted to show the improvement in the prediction of the grey water volume. As can be seen, the water volume predicted from the time fractionation method matches the actual water volume. EXAMPLES

[0053] In Example 5, the geometry of the concrete mixer drum was expected to be unknown and the results of Example 4 were split into two groups: 6 data points to create an experimental calibration, and 5 data points to test the calibration. Regression analysis using a second order polynomial was used to create a calibration curve between the fraction of time the sensor was in water and the actual volume of water. The equation is V=35.5-620×F+3530×F 2 It turns out that where V is the grey water volume and F is the time of submerged fraction. This best fit is then applied to the remaining five points to give the results in Figure 17, which shows the predicted vs. actual water volume based on calibration. Again, the prediction can be fitted to the actual water volume. It should be noted that in this example, a polynomial function (quadratic) was used, whereas in Example 4, an exponential function was used. This illustrates that with the appropriate function coefficients, both can be fitted to the shape of the data making up the relationship between volume and submerged fraction. Other functions may also be fitted to the shape of the data.

[0054] The present embodiments, as otherwise described and claimed herein, are described herein using a limited number of specific illustrative embodiments without intending to limit the scope.

Claims

1. 1. A method for determining grey water content remaining in a mixer drum from a previous concrete charge discharged from said mixer drum to provide accurate batching of new concrete charge into said mixer drum, comprising: (A) comprising a concrete drum mixer having an interior volume and a rotating shaft; (B) at least one sensor mounted at a location within the interior volume of the mixer drum such that during rotation of the mixer drum, the sensor will reach both submerged and non-submerged conditions in the interior water separately and generate signals indicative of each of said conditions, and such that sufficient grey water is present in the drum such that the sensor can be both submerged and non-submerged; (C) rotating the concrete mixer drum such that the sensor reaches both a submerged and non-submerged state in said interior separately; (D) determining the angle between the axis of rotation of the concrete mixer drum and the horizontal; (E) determining a submerged or inverted fraction reached by the sensor based on the rotation of step (C); (F) providing data correlating the submerged or inverted fraction to a corresponding volume of water in a vessel substantially geometrically similar to said mixer drum; (G) determining the grey water content in the mixer drum by comparing the submerged fraction determined in step (E) with the data from step (F) and the angle between the axis of rotation of the concrete mixer drum and the horizontal determined in step (D); and (H) generating an alert if the detected grey water content is greater than a predetermined limit, modifying the percentage of water in said fresh concrete charge based on the grey water content determined in step (G), or draining at least a portion of the grey water from said mixer drum based on the grey water content determined in step (G), or any combination thereof; Do one of the following: comprising: the mixer drum has a length and a motor for rotating the mixer drum, and the at least one sensor is located at a bottom third along the length of the mixer drum and closest to the motor, the length of the drum being measured in a direction parallel to the axis of rotation of the drum; The method.

2. 10. The method of claim 1, wherein the sensor extends 8 inches into the interior volume of the mixer drum as measured from the inner surface of the drum.

3. 10. The method of claim 1, wherein said at least one sensor makes at least five measurements per second for drum rotational speeds of 2 revolutions per minute or less.

4. 10. The method of claim 1, wherein said at least one sensor makes at least 15 measurements per second for drum rotation speeds less than or equal to 6 revolutions per minute, but greater than 2 revolutions per minute.

5. The angle determined in step (D) is provided by an accelerometer attached to the drum. The method of claim 1.

6. 2. The method of claim 1, wherein the submerged or backfilled fraction determined in step (E) is based on the time for the sensor to detect grey water compared to the total time to complete a rotation of the drum.

7. 2. The method of claim 1, wherein the submerged fraction determined in step (E) is based on the distance traveled while the at least one sensor detects grey water compared to the total distance traveled to complete a rotation of the drum.

8. 10. The method of claim 1, wherein the data generated in step (F) is based on a collection of data representative of the shape of the mixer drum in three dimensions and the location of the at least one sensor.

9. 10. The method of claim 1, wherein the mixer drum has an interior surface, the method further comprising determining an amount of water on the interior surface of the mixer drum, and modifying the amount of grey water content determined in step (G) by adding water or adding cement based on the determination of the amount of water on the interior surface of the mixer drum, the amount of water being determined through predicting the amount of water that will adhere to the surface or through measuring it by weighing before and after wetting the drum.

10. 10. The method of claim 1, further comprising determining the amount of hardened concrete formed in the mixer drum and modifying the amount of grey water content determined in step (G) based on said determination.

11. 2. The method of claim 1, wherein the fresh concrete charge comprises water and cement, and the proportion of water in the fresh concrete charge is modified by adjusting the water content, the cement content, or both.

12. 1. A method for determining a volume of grey water remaining in a vessel having an interior volume and a rotation axis after a first cement charge has been discharged from said vessel, comprising: rotating the container at least one full rotation and determining the angle of the container's axis of rotation relative to the horizontal; at least one sensor in said interior volume positioned to be submerged in the grey water within said vessel during a first portion of said one complete revolution and not submerged in the grey water within said vessel during a second portion of said one complete revolution, said at least one sensor generating a first signal when submerged and a second signal when not submerged; determining a ratio of either the first portion or the second portion to one complete revolution using a time determining device or a position determining device; comparing said ratio to a predetermined ratio indicative of the volume of grey water in said container; and modifying the percentage of water in a second cement charge to be added to the vessel based on said comparison; The method comprising:

13. 1. A method for determining a volume of grey water remaining in a vessel having an interior volume and an axis of rotation after a first cement charge is discharged from the vessel, the method comprising: rotating the container at least one full rotation and determining the angle of the container's axis of rotation relative to the horizontal; at least one sensor in said interior volume positioned to be submerged in the grey water within said vessel during a first portion of said one complete revolution and not submerged in the grey water within said vessel during a second portion of said one complete revolution, said at least one sensor generating a first signal when submerged and a second signal when not submerged; determining a ratio of either the first portion or the second portion to one complete revolution using a time determining device or a position determining device; comparing said ratio to a predetermined ratio indicative of the volume of grey water in said container; and draining at least a portion of the grey water from the vessel; The method comprising:

14. 1. A system for determining a volume of grey water remaining in a vessel having an interior volume and an axis of rotation after a first cement charge is discharged from the vessel, the system comprising: a motor for rotating said container at least one complete rotation so that the angle of the axis of rotation of said container relative to the horizontal can be determined; at least one sensor in the interior volume of the vessel positioned to be submerged in the grey water within the vessel during a first portion of said one complete revolution and not submerged in the grey water within the vessel during a second portion of said one complete revolution, said at least one sensor generating a first signal when submerged and a second signal when not submerged; a position determining device or a time determining device for determining the submerged portion, which is the portion of a complete rotation in which the sensor is submerged or the portion of a complete rotation in which the sensor is not submerged; a processor configured to receive the first and second signals in communication with the at least one sensor, and to communicate with the position determining device or the time determining device, and to calculate a ratio of the first portion or the second portion for one complete rotation, and to determine a volume of grey water in the container based on the ratio; Consisting of The system.

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