A concrete flow state recognition method, system, device and medium

Abstract

The application discloses a concrete flow state identification method, system, device and medium, which is applied to a new energy mixing and transporting vehicle. The method comprises the following steps: obtaining the tank body geometric parameters, real-time output electric parameters and real-time loading cubic capacity of the new energy mixing and transporting vehicle; by comparing the new energy mixing and transporting vehicle with a rheometer, the Bingham fluid model is solved according to the tank body geometric parameters, real-time output electric parameters and real-time loading cubic capacity, and real-time rheological parameters are obtained; and the real-time concrete flow state is determined based on the real-time rheological parameters and real-time output electric parameters. The application can realize real-time, nondestructive and online monitoring of the flow state of the freshly mixed concrete in the whole transportation process without increasing additional special sensors, and fully utilizes the data of the vehicle electric control system.

Description

Technical Field

[0001] This application relates to the technical field of concrete construction and transportation, and in particular to a method, system, device and medium for identifying the flow state of concrete. Background Technology

[0002] Concrete, as the most widely used building material globally, is typically characterized by long continuous operation cycles, labor intensity, and a high reliance on human experience and judgment during its pouring. Concrete is generally produced by commercial or on-site batching plants and transported to the construction site by concrete mixer trucks for pouring. During transportation, the workability of concrete continuously changes due to chemical reactions, moisture evaporation, and aggregate settling, potentially leading to slump loss, segregation, bleeding, or even premature setting. To maintain its workability, the mixing tank must be kept rotating continuously at a slow, uniform speed during transport. However, concrete is in a long-term "state blind zone" during transportation and pouring. Especially during high temperatures in summer, rainy seasons, or unexpected situations such as pipe blockages or stuck trucks, the pouring time is forced to be extended, easily causing a sharp decrease in the fluidity of the freshly mixed concrete in the tank, or even false setting.

[0003] Currently, the inspection of concrete condition during transportation mainly relies on the following methods: First, drivers or construction workers rely on visual inspection based on experience or conduct slump tests. This method is highly subjective, has a significant time lag, and cannot achieve continuous monitoring throughout the entire process. Second, attempts are made to install torque and vibration sensors inside the tank for indirect evaluation. However, the environment inside the tank is harsh, the sensors are easily damaged and difficult to calibrate, and the reliability and economy are not ideal. Third, samples are taken at the station or on-site, and rheometers are used for precise testing. This method is an offline and destructive test and cannot be used for real-time monitoring and early warning during transportation. In recent years, some real-time detection methods based on visual or mechanical principles have emerged, such as Chinese patent CN119147743A, "A Method for Real-Time Detection of the Workability of Concrete in a Concrete Mixer Truck Tank." This method utilizes the principle of torque balance, calculating the dynamic yield stress of concrete by measuring data such as the inclination angle between the concrete liquid surface and the horizontal plane, the contact area between the concrete and the tank body, and the cross-sectional area of ​​the tank body during transportation. It also measures the surface roughness of the concrete using a laser scanner and determines whether the concrete is in a qualified, segregated, or dry-to-thick state by comparing the dynamic yield stress with its corresponding threshold or the roughness with its corresponding threshold. While this method achieves real-time monitoring during transportation, it still has significant limitations: First, it relies on external laser scanning equipment, resulting in a complex installation structure that is susceptible to environmental obstructions, contamination, and vibration interference. Second, the detection model is based on specific tank geometry and motion assumptions, limiting its adaptability to different vehicle models, loading volumes, rotational speeds, and other operating conditions. Third, it requires the deployment of an additional high-precision scanning and calculation system, leading to high costs and hindering large-scale deployment. Summary of the Invention

[0004] This application aims to address at least one of the technical problems existing in the prior art. To this end, this application proposes a method for identifying the flow state of concrete, which can achieve real-time, non-destructive, and online monitoring of the flow state of freshly mixed concrete throughout the transportation process without adding additional dedicated sensors, by fully utilizing data from the vehicle's own electronic control system.

[0005] This application also provides a concrete flow state identification system, a control device for performing the above-described concrete flow state identification method, and a computer-readable storage medium.

[0006] The concrete flow state identification method according to the first aspect of this application is applied to a new energy mixer truck, the method comprising:

[0007] The geometric parameters of the tank, real-time output electrical parameters, and real-time loading volume of the new energy mixer truck are obtained. By analogy of the new energy mixing and transport vehicle to a rheometer, the Bingham fluid model is solved based on the tank's geometric parameters, the real-time output electrical parameters, and the real-time loading volume to obtain the real-time rheological parameters. The real-time concrete flow state is determined based on the real-time rheological parameters and the real-time output electrical parameters.

[0008] The concrete flow state identification method according to the embodiments of this application has at least the following beneficial effects: This application fully utilizes the existing electronic control system data interface of the new energy concrete mixer truck to acquire the tank geometry parameters, real-time output electrical parameters, and real-time loading volume. Then, by analogy to a rheometer, the Bingham fluid model is solved based on the tank geometry parameters, real-time output electrical parameters, and real-time loading volume to obtain real-time rheological parameters. Finally, based on these real-time rheological and output electrical parameters, the real-time concrete flow state is determined, achieving continuous, real-time monitoring of the entire process from loading and transportation to unloading. This fundamentally changes the traditional lagging mode that relies on offline, sampling detection. This application eliminates the need for any dedicated physical sensors inside the mixing tank, thus completely avoiding problems such as sensor damage, complex maintenance, and calibration difficulties caused by concrete contamination, significantly improving system reliability. Furthermore, this application incurs almost no additional hardware costs, facilitating rapid promotion and large-scale deployment in existing new energy vehicle fleets. Its advantages extend beyond simply determining whether the concrete flow state is normal; it also enables quantitative evaluation of concrete workability through real-time inversion of rheological parameters, providing a more accurate and scientific basis for construction decisions than manual experience.

[0009] According to some embodiments of this application, the real-time output electrical parameters include real-time output current, real-time output voltage, and real-time rotational speed; the tank geometric parameters include the equivalent length of the tank and the radius of the tank wall; and the real-time rheological parameters include yield stress and plastic viscosity. The constraint formula for the Bingham fluid model is as follows: ; ; in, The real-time torque is calculated based on the real-time output current, real-time output voltage, and real-time speed. The equivalent length of the tank. The radius of the tank wall is denoted as . The radius of the inner stable layer of concrete inside the tank. For real-time loading volume, For real-time rotational speed, For yield stress, Plastic viscosity, The cross-sectional shape correction factor is determined through loading calibration tests and is used to correct area deviations caused by the actual distribution of concrete.

[0010] According to some embodiments of this application, the real-time concrete flow state includes static-to-dynamic state, initial flow state, and steady flow state; the real-time output electrical parameters include real-time output current, real-time output voltage, and real-time rotational speed; and the real-time rheological parameters include yield stress and plastic viscosity. The determination of the real-time concrete flow state based on the real-time rheological parameters and the real-time output electrical parameters includes: Calculate the real-time power based on the real-time output current and the real-time output voltage; If, during the loading process, the ratio of the power change value to the no-load power is less than a first preset threshold, the real-time concrete flow state is determined to be the static-to-dynamic state; wherein, the power change value is equal to the difference between the real-time power and the no-load power, and the no-load power is equal to the product of the no-load output current and the no-load output voltage at the real-time rotational speed; If the real-time power exceeds the preset critical power for the first time from the start of loading, the real-time concrete flow state is determined to be the initial flow dynamic. Loading is completed when the loading volume reaches the preset volume value and the fluctuation range of the real-time power is within the preset stable fluctuation range. The preset critical power is greater than the no-load power. If, during transportation, the rate of change of the real-time power is within a preset first normal rate of change, and the rates of change of the yield stress and the plastic viscosity are within a preset second normal rate of change, then the real-time concrete flow state is determined to be the stable flow state.

[0011] According to some embodiments of this application, the real-time concrete flow state further includes an abnormal state, which includes a slump loss state; The determination of the real-time concrete flow state based on the real-time rheological parameters and the real-time output electrical parameters includes: If the real-time power is higher than the historical benchmark value under the same volume, and the growth rate of the yield stress is greater than the preset normal growth rate, the real-time concrete flow state is determined to be the slump loss state.

[0012] According to some embodiments of this application, the abnormal state also includes a primary condensed state; The method of determining the real-time concrete flow state based on the real-time rheological parameters and the real-time output electrical parameters further includes: If the growth rate of the yield stress within a preset time exceeds a second preset threshold, and the growth rate of the real-time power within the same time period exceeds a third preset threshold, the real-time concrete flow state is determined to be the initial setting state.

[0013] According to some embodiments of this application, the abnormal state further includes a segregation state, and the step of determining the real-time concrete flow state based on the real-time rheological parameters and the real-time output electrical parameters further includes: If the standard deviation of the plastic viscosity fluctuation within a preset time exceeds a fourth preset threshold, and the fluctuation amplitude of the real-time power within the same time period exceeds a preset stable fluctuation range, the real-time concrete flow state is determined to be the segregation state.

[0014] According to some embodiments of this application, the method further includes: Obtain the real-time location information, real-time time information, and vehicle identification number information of the new energy concrete mixer truck; A status message is generated based on the real-time location information, the real-time time information, the vehicle identification number information, and the real-time concrete flow status. The status message is sent to the remote monitoring platform so that the remote monitoring platform can dynamically adjust the concrete transportation and pouring scheduling plan.

[0015] According to a second aspect embodiment of the present application, a concrete flow state identification system is applied to a new energy mixer truck, the system comprising: The data acquisition unit is used to acquire the tank geometric parameters, real-time output electrical parameters, and real-time loading volume of the new energy mixer truck. The rheological parameter calculation unit is used to calculate the Bingham fluid model by analogy between the new energy mixing and transport vehicle and a rheometer, based on the tank geometric parameters, the real-time output electrical parameters and the real-time loading volume, to obtain the real-time rheological parameters. A concrete flow state determination unit is used to determine the real-time concrete flow state based on the real-time rheological parameters and the real-time output electrical parameters.

[0016] The concrete flow state identification system according to the embodiments of this application has at least the following beneficial effects: This application fully utilizes the existing electronic control system data interface of the new energy concrete mixer truck to acquire the tank geometry parameters, real-time output electrical parameters, and real-time loading volume. Then, by analogy to a rheometer, the Bingham fluid model is solved based on the tank geometry parameters, real-time output electrical parameters, and real-time loading volume to obtain real-time rheological parameters. Finally, based on these real-time rheological and output electrical parameters, the real-time concrete flow state is determined, achieving continuous, real-time monitoring of the entire process from loading and transportation to unloading. This fundamentally changes the traditional lagging mode that relies on offline, sampling detection. This application eliminates the need for any dedicated physical sensors inside the mixing tank, thus completely avoiding problems such as sensor damage, complex maintenance, and calibration difficulties caused by concrete contamination, significantly improving system reliability. Furthermore, this application incurs almost no additional hardware costs, facilitating rapid promotion and large-scale deployment in existing new energy vehicle fleets. Its advantages extend beyond simply determining whether the concrete flow state is normal; it also enables quantitative evaluation of concrete workability through real-time inversion of rheological parameters, providing a more accurate and scientific basis for construction decisions than manual experience.

[0017] A control device according to a third aspect embodiment of this application includes a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it implements the concrete flow state identification method as described in the first aspect embodiment above. Since the control device employs all the technical solutions of the concrete flow state identification method of the above embodiments, it possesses at least all the beneficial effects brought about by the technical solutions of the above embodiments.

[0018] The new energy concrete mixer truck according to the fourth aspect embodiment of this application includes the control device as described in the second aspect embodiment above. Since the new energy concrete mixer truck adopts all the technical solutions of the control device of the above embodiments, it possesses at least all the beneficial effects brought about by the technical solutions of the above embodiments.

[0019] According to a fifth aspect embodiment of this application, a computer-readable storage medium stores computer-executable instructions for performing the concrete flow state identification method as described in the first aspect embodiment. Since the computer-readable storage medium employs all the technical solutions of the concrete flow state identification method of the above embodiments, it possesses at least all the beneficial effects brought about by the technical solutions of the above embodiments.

[0020] Other features and advantages of this application will be set forth in the following description, and will be apparent in part from the description, or may be learned by practicing this application. Attached Figure Description

[0021] The above and / or additional aspects and advantages of this application will become apparent and readily understood from the description of the embodiments taken in conjunction with the following drawings, in which: Figure 1 This is a flowchart of a concrete flow state identification method according to an embodiment of this application; Figure 2 This is a schematic diagram of the flow state and pressure distribution of concrete inside the tank according to an embodiment of this application. Detailed Implementation

[0022] The embodiments of this application are described in detail below. Examples of these embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary and are only used to explain this application, and should not be construed as limiting this application.

[0023] In the description of this application, the use of terms such as "first," "second," etc., is for the purpose of distinguishing technical features only and should not be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated or the order of the technical features indicated.

[0024] In the description of this application, it should be understood that the orientation descriptions, such as up, down, etc., are based on the orientation or positional relationship shown in the accompanying drawings, and are only for the convenience of describing this application and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation, and therefore should not be construed as a limitation of this application.

[0025] In the description of this application, it should be noted that, unless otherwise explicitly defined, terms such as "setup," "installation," and "connection" should be interpreted broadly, and those skilled in the art can reasonably determine the specific meaning of the above terms in this application in conjunction with the specific content of the technical solution.

[0026] The following will combine Figure 1 and Figure 2 The concrete flow state identification method of the embodiments of this application will be clearly and completely described. Obviously, the embodiments described below are some embodiments of this application, not all embodiments.

[0027] refer to Figure 1 , Figure 1 This is a flowchart of a concrete flow state identification method according to an embodiment of this application.

[0028] The concrete flow state identification method according to the first aspect of this application, applied to a new energy mixer truck, includes: Obtain the tank geometry parameters, real-time output electrical parameters, and real-time loading volume of the new energy concrete mixer truck; By analogy of the new energy concrete mixer truck to a rheometer, the Bingham fluid model is solved based on the tank's geometric parameters, real-time output electrical parameters, and real-time loading volume to obtain real-time rheological parameters. The real-time flow state of concrete is determined based on real-time rheological parameters and real-time output electrical parameters.

[0029] Understandably, new energy-driven concrete mixer trucks are becoming increasingly popular in the context of the construction industry's low-carbon transformation. Compared to traditional diesel-powered mixer trucks, their mixing tank drive system is independent of the vehicle's propulsion system, using direct motor control. This results in smoother operation, faster response, and easier real-time, high-precision acquisition of parameters such as current, voltage, power, and speed. These parameters directly reflect the state of the drive system overcoming concrete resistance, theoretically containing rheological information about the concrete, thus providing a new hardware foundation for digital monitoring of the transportation process. Therefore, establishing a direct and robust mapping model between the inherent real-time parameters of the new energy mixer truck's tank drive power and speed and the concrete's working performance, to achieve accurate identification and intelligent judgment of the concrete flow state within the tank, has become one of the key challenges in promoting the construction industry's development towards digitalization, intelligence, and greening. Compared to existing external sensors or visual inspection solutions, using the vehicle's own drive data for state identification has significant advantages: no need for external detection equipment, strong adaptability, low cost, high reliability, and ease of integration and promotion. It better meets the urgent needs of modern construction for full-process controllability, real-time early warning, and intelligent regulation of concrete quality.

[0030] This application treats the mixing tank drive system of a new energy concrete mixer truck as a macroscopic "rheometer." By establishing a mapping model between the electrical parameters output by the drive motor and the macroscopic mechanical behavior and microscopic rheological properties of the concrete inside the tank, the real-time flow state of the concrete can be inverted and identified. The core analogy is that, just as the ICAR rheometer inverts the rheological parameters of a material by measuring the torque and speed of rotating blades in concrete, this application treats the mixing tank drive system of the new energy concrete mixer truck as a macroscopic "rheometer." The torque output by the drive motor corresponds to the measured torque of the rheometer, and the angular velocity of the tank when its rotation is stable corresponds to the speed of the rheometer. By establishing a physical model between torque, speed, and concrete rheological parameters, the inversion of rheological parameters can be achieved. However, due to the fundamental differences between the geometry, dimensions, and rotation method of the mixing tank and the actual ICAR rheometer, this application requires the following key adjustments and modeling: ① The blade geometry of the ICAR rheometer is fixed and the contact area is known. However, the contact area between the concrete in the mixing tank and the tank wall and blades changes dynamically with the loading volume, and needs to be estimated by introducing a contact area coefficient.

[0031] ②ICAR rheometers typically ignore gravity and rotate along their main axis, while the mixing tank rotates in a near-horizontal direction. Gravity is a key factor that causes changes in concrete distribution, internal pressure field, and the "upward / downward" flow phenomenon at the concrete-air interface inside the tank. This significantly affects the macroscopic mechanical behavior of the concrete inside the tank and needs to be considered when building the model.

[0032] ③ To apply rotational rheology theory, refer to Figure 2 , Figure 2 This is a schematic diagram of the flow state and pressure distribution of concrete inside a tank according to an embodiment of this application. This application simplifies the complex flow inside the tank into a laminar flow zone and an inner stable layer centered on the tank axis, and introduces the radius of the inner stable layer of concrete inside the tank. This key geometric parameter describes the flow boundary and needs to be estimated in real time based on the loading volume.

[0033] This application introduces a contact area coefficient to correct the theoretical contact area between concrete and the tank wall and blades, thereby estimating an effective contact area that more closely reflects the actual shear state. This effective contact area, together with the real-time loading volume, determines the equivalent flow boundary of the concrete inside the tank, i.e., the radius of the stable layer within the concrete inside the tank. . As a core geometric parameter connecting macroscopic loading conditions and microscopic rheological models, it is directly substituted into the Bingham fluid model. Therefore, the influence of the contact area coefficient and the effective contact area is determined by accurately identifying key parameters. It indirectly but decisively affects the entire rheological parameter inversion process.

[0034] This application analyzes the composition of driving power based on the principles of energy conservation and fluid mechanics. Under the condition of uniform rotation of the tank, the increase in driving power mainly comes from the work done to overcome the resistance of concrete. By establishing the relationship between real-time power and concrete loading volume, tank geometric parameters including tank wall radius, tank equivalent length, and blade helix angle, and drawing on the measurement principle of a rotating rheometer, a calculation model of torque-rotation speed-rheological parameters is constructed. Specifically, the driving torque is calculated from power and rotation speed, and then combined with an effective contact area estimation model, based on Bingham's fluid constitutive equation, the core rheological parameters characterizing the flow properties of concrete are derived through model calculation or data fitting.

[0035] In some embodiments of this application, the real-time output electrical parameters include real-time output current, real-time output voltage, and real-time rotational speed; the tank geometric parameters include the equivalent length of the tank and the radius of the tank wall; and the real-time rheological parameters include yield stress and plastic viscosity. The constraint formulas for the Bingham fluid model are: ;Formula (1) ;Formula (2) in, The real-time torque is calculated based on the real-time output current, real-time output voltage, and real-time speed. The equivalent length of the tank. The radius of the tank wall is denoted as . The radius of the inner stable layer of concrete inside the tank. For real-time loading volume, For real-time rotational speed, For yield stress, Plastic viscosity, The cross-sectional shape correction factor is determined through loading calibration tests. This factor is used to correct area deviations caused by the actual distribution of concrete.

[0036] In some embodiments, The loading calibration test determined that, under no-load conditions, a known volume of water (or a fluid with a density similar to concrete) was added to the tank in stages (e.g., every 1 m³), ​​and the weight change at each stage was recorded to precisely control the volume. After each stage stabilized, a high-precision laser scanner (or a simulation method with known geometric parameters) was used to measure the surface profile of the water (or concrete), and the actual cross-sectional area was obtained through three-dimensional reconstruction. According to the formula ,in Calculated from the measured profile, then For different loading rates Below By performing fitting, empirical relationships can be obtained. Usually in It varies within the range of 0.9 to 1.2.

[0037] In some embodiments of this application, the solution process for the Bingham fluid model is as follows: During loading, the tank maintains a constant rotational speed. With the real-time loading volume of concrete From zero to rated loading capacity Radius of the inner stable layer of concrete inside the tank The corresponding changes lead to geometric coefficients Consequently, this changes. This yields a series of torque-geometric coefficient data under different loading conditions. The model can be rewritten as: Due to the varying rheological parameters of the same truckload of concrete within a short loading period. and The equation is essentially constant, with the right side being a constant. Multiple values ​​are fitted using the least squares method. By analyzing the data points, the yield stress of the concrete can be calculated simultaneously. and plastic viscosity .

[0038] Specifically, let's assume that the loading process obtains... Using 10 data points, construct a system of linear equations: , ,..., ,make The above system of equations can be considered as constants. of This measurement can be obtained using the least squares method. Best estimate: .

[0039] For separation and Initial loading data is required. When the concrete loading volume is small, the shear rate is low. and The term can be ignored, by A preliminary estimate can be made. Substitute It can be obtained Alternatively, an optimization algorithm can be used to directly solve for the total error. smallest and .

[0040] Obtain initial and Then, real-time monitoring can be performed during transportation. The changes in these changes are used to determine the evolution of the concrete's flow state.

[0041] In some embodiments of this application, the real-time concrete flow state includes static-to-dynamic state, initial flow state, steady flow state and abnormal state, the abnormal state includes slump loss state, initial setting state and segregation state, the real-time output electrical parameters include real-time output current, real-time output voltage and real-time rotation speed, and the real-time rheological parameters include yield stress and plastic viscosity. The real-time flow state of concrete is determined based on real-time rheological parameters and real-time output electrical parameters, including: Calculate real-time power based on real-time output current and real-time output voltage; If, during the loading process, the ratio of the power change value to the no-load power is less than the first preset threshold, the real-time concrete flow state is determined to be static-to-dynamic; wherein, the power change value is equal to the difference between the real-time power and the no-load power, and the no-load power is equal to the product of the no-load output current and the no-load output voltage at the real-time rotational speed. If the real-time power exceeds the preset critical power for the first time from the start of loading, the real-time concrete flow state is determined to be the initial flow dynamic. Loading is completed when the loading volume reaches the preset volume value and the fluctuation range of the real-time power is within the preset stable fluctuation range. The preset critical power is greater than the no-load power. If, during transportation, the rate of change of real-time power is within the preset first normal rate of change range, and the rate of change of yield stress and plastic viscosity is within the preset second normal rate of change range, the real-time concrete flow state is determined to be a steady flow dynamic. If the real-time power is higher than the historical benchmark value under the same volume, and the growth rate of yield stress is greater than the preset normal growth rate, the real-time concrete flow state is determined to be the slump loss state. If the growth rate of yield stress within a preset time exceeds the second preset threshold, and the growth rate of real-time power within the same time period exceeds the third preset threshold, the real-time concrete flow state is determined to be the initial setting state. If the standard deviation of the plastic viscosity fluctuation within a preset time exceeds the fourth preset threshold, and the fluctuation amplitude of the real-time power within the same time period exceeds the preset stable fluctuation range, the real-time concrete flow state is determined to be segregated.

[0042] Understandably, during the static-to-dynamic transition (also called the overall-to-dynamic transition), there is no relative slippage between the concrete and the tank wall; the entire structure rotates with the tank. At this point, the power is approximately equal to the no-load power, and the shear stress is less than the initial value. In some embodiments, the first preset threshold may be 0.05.

[0043] In the initial flow dynamics (also called the initial slip state), when the power exceeds the preset critical power, the concrete begins to slip relative to the tank wall. At this point, the shear stress has just exceeded the initial... The shear rate is very small. In some embodiments, the preset critical power can be determined by adding a certain margin to the no-load power or by experiment. The no-load power is calculated by controlling the new energy mixer truck to rotate at a constant speed on a flat road for at least 30 seconds before heading to the mixing plant to load concrete. After the motor output power stabilizes, the output current and voltage of the drive motor are recorded, and then the no-load power is calculated.

[0044] Under steady-state flow dynamics, the concrete exhibits favorable flow dynamics, with real-time power varying smoothly with the real-time loading volume, and real-time rheological parameters fluctuating within the design allowable range. It should be noted that the first and second normal rate of change ranges can be calibrated based on actual conditions and are not specifically limited here.

[0045] If the real-time power is higher than the historical benchmark value under the same volume, and the yield stress obtained by real-time inversion is... If a significant upward trend is observed (the evaporation or consumption of moisture leads to a weakening of the lubrication effect of the slurry, an increase in the frictional resistance between aggregates, and macroscopically manifested as an increase in the yield stress required to overcome flow), then the real-time concrete flow state is determined to be a slump loss state.

[0046] If yield stress If the growth rate within a preset time (e.g., 60 seconds) exceeds the second preset threshold (e.g., 20%), and the growth rate of real-time power within the same time period exceeds the third preset threshold (e.g., 5%), and the trends of the two show a significant positive correlation (correlation coefficient > 0.7), then the real-time concrete flow state is determined to be the initial setting state.

[0047] If plastic viscosity If the standard deviation of the fluctuation within a preset time (e.g., 60 seconds) exceeds the fourth preset threshold (e.g., 20% of the average standard deviation of the historical fluctuation over the past 5 minutes), and the real-time power exhibits any of the following non-stationary fluctuation characteristics within the same time period: 1. The power standard deviation exceeds twice the power standard deviation during normal transportation; 2. The power coefficient of variation (standard deviation / mean) exceeds 0.15; 3. The power range (maximum value - minimum value) exceeds 30% of the average power; 4. The power signal exhibits significant periodic fluctuation energy in the 0.5Hz~2Hz frequency band, the real-time concrete flow state is determined to be segregated.

[0048] According to the concrete flow state identification method of this application, this application fully utilizes the existing electronic control system data interface of the new energy mixer truck to obtain the tank geometry parameters, real-time output electrical parameters, and real-time loading volume of the new energy mixer truck. Then, by analogy of the new energy mixer truck to a rheometer, the Bingham fluid model is solved based on the tank geometry parameters, real-time output electrical parameters, and real-time loading volume to obtain real-time rheological parameters. Finally, the real-time concrete flow state is determined based on the real-time rheological parameters and real-time output electrical parameters, realizing continuous and real-time state monitoring of concrete from loading, transportation to unloading, fundamentally changing the traditional lagging mode that relies on offline and sampling detection. This application does not require the installation of any dedicated physical sensors in the mixing tank, thus completely avoiding problems such as sensor vulnerability, complex maintenance, and difficult calibration caused by concrete contamination, significantly improving system reliability. In addition, this application adds almost no additional hardware costs, facilitating rapid promotion and large-scale deployment in existing new energy vehicle fleets. Its advantages are not limited to judging whether the flow state of concrete is normal, but also include the ability to quantitatively evaluate the workability of concrete through real-time inversion of rheological parameters, providing a more accurate and scientific basis for construction decisions than human experience.

[0049] The following is a detailed description using a specific embodiment.

[0050] 1. Scene setting A new energy concrete mixer truck with license plate number XX, powered by pure electric drive, has a tank with a rated loading capacity of [missing information]. Tank geometric parameters: equivalent length of tank Tank wall radius 0.9m. The vehicle is loaded with C30 ready-mixed concrete with a design slump of 180±30mm. It is transported from the mixing plant to a construction site 15 kilometers away, with a transportation time of about 40 minutes and good road conditions.

[0051] 2. No-load power calibration Before loading into the mixing plant, the vehicle is parked on a flat area, and the tank is controlled to rotate at a constant speed of 2 rpm (0.209 rad / s). Data is collected for 30 seconds after stabilization: the output current of the drive motor. =24.8A, voltage =384V, calculate no-load power: = 24.8 384 = 9523W ≈ 9.52kW, record the stable rotational speed of the tank: = 0.209 rad / s.

[0052] 3. Real-time monitoring of the loading process The loading process lasted 6 minutes, with the tank maintaining a constant rotation speed of 2 rpm. Data was collected via the vehicle's CAN bus at a frequency of 10 Hz. Key node data are shown in Table 1. Table 1 Key Node Data Table

[0053] 4. Calculation of the radius of the stable layer inside the concrete tank According to formula (2), when When the value is 8.0, the square root sign indicates a negative value, which physically represents complete concrete filling. Therefore, we take the value of 8.0. =0.

[0054] 5. Solve the Bingham fluid model Using formulas (1) and (2), five sets of data points were selected from the loading process. , T, , As shown in Table 2, establish and solve the system of equations: Table 2 ( , T, , Data point table

[0055] make Establish a system of equations: Solving using the least squares method, we obtain: =402Pa, =36.8Pa s.

[0056] 6. Concrete Flow State Identification 6.1 Real-time monitoring of the transportation process During transportation (40 minutes), the real-time rheological parameters remained stable: It fluctuated within the range of 390Pa to 420Pa (fluctuation amplitude 4.1%). At 34.5 Pa s~39.5Pa Fluctuations within the range of s (fluctuation amplitude 7.8%), with real-time power stabilizing at 35.43kW. 1.6kW (fluctuation rate approximately 4.5%), tank rotation speed stabilized at 0.209 rad / s 0.002 rad / s (fluctuation) 1%.

[0057] 6.2 Determining the Flow State of Concrete (1) Judgment of static to dynamic state: = 9.52 = 2.72 0.05, of which, For real-time power, This is the no-load power, excluding static to dynamic operation; (2) Dynamic judgment of the initial flow: It has been triggered in the initial loading stage (when For the first time, it exceeded 1.2× =11.42kW); no repeated judgment during the transportation stage.

[0058] (3) Initial condensation state determination: The maximum growth rate within 60 seconds was 2.5%, which is lower than the set threshold of 20%; the maximum growth rate of real-time power within 60 seconds was 1.5%, which is lower than the set threshold of 5%. Therefore, no condensation risk is determined.

[0059] (4) Determination of the dissociated state: The standard deviation of the fluctuation over 60 seconds was 1.25 Pa. s, accounting for the historical average (37.0 Pa) The power fluctuation characteristics are as follows: the standard deviation of power during the same period is 0.52kW, the baseline standard deviation during normal transportation is 0.55kW, the ratio is 0.95 < 2, the coefficient of variation is 0.55 / 35.43 = 0.0015 < 0.15, and the range / mean is 3.2 / 35.43 = 0.090 < 0.3. Frequency domain analysis shows no significant periodic fluctuations. None of the above indicators reach the segregation judgment threshold; therefore, it is determined that there is no risk of segregation.

[0060] (5) Dynamic judgment of steady flow: The standard deviation of fluctuation within 2 minutes is less than 8% of the historical mean (actually 4.1%). The standard deviation of fluctuation within 2 minutes is less than 10% of the historical mean (actual 7.8%); the power coefficient of variation is less than 0.08 (actual 0.0015). The absolute growth rate within 5 minutes was <5% (actually 2.5%); the tank rotation speed fluctuation was <±2% (actually ±1%). All conditions met the preset steady-state threshold, therefore the concrete was ultimately judged to be in a "steady-state flow dynamic".

[0061] 7. System Output The vehicle's onboard display screen shows real-time status information: "License plate XX Concrete status: Stable flow; Rheological parameters: " =405Pa, =37.0 Pa·s; Power: 35.43 kW; Speed: 2.0 rpm; Recommendation: Normal transportation, please transport and unload according to plan.

[0062] Meanwhile, the system encrypts and uploads information such as time, location, volume, rheological parameters, and status to the remote monitoring platform for scheduling management and quality traceability.

[0063] It should be noted that slump loss typically occurs due to prolonged waiting without unloading. In this specific embodiment, there is no prolonged waiting, therefore, there is no risk of slump loss. Additionally, initial setting also generally occurs under conditions of prolonged waiting without unloading, while segregation typically occurs on bumpy road sections.

[0064] In some embodiments of this application, the method further includes: Obtain real-time location, time, and vehicle identification information of new energy concrete mixer trucks; A status message is generated based on real-time location information, real-time time information, vehicle identification number information, and real-time concrete flow status. The status message is sent to the remote monitoring platform so that the platform can dynamically adjust the concrete transportation and pouring schedule.

[0065] Specifically, the remote monitoring platform can assess the pumpability and pouring quality risks of concrete transported by corresponding new energy concrete mixer trucks based on real-time concrete flow status. Based on the assessment results, it generates and executes adjustment instructions regarding vehicle scheduling sequence, routes, waiting times, or pouring priorities. This allows for dynamic optimization of transport routes, rational allocation of transport tasks, and ensures that concrete is poured under optimal working conditions, improving construction efficiency and project quality. It can also promote the digital transformation of the concrete industry and intelligent construction. By establishing an "electronic transport status file" for each truckload of concrete, it enables precise traceability of quality issues and clear definition of responsible parties, thereby systematically improving the overall quality management level of ready-mixed concrete.

[0066] In some embodiments of this application, status messages can also be displayed on the vehicle-mounted human-machine interface (HMI) to facilitate the driver's real-time monitoring of changes in the concrete's flow state. The HMI can utilize a high-definition touchscreen display, combining intuitive charts (such as real-time power curves, yield stress and plastic viscosity trend graphs) and text prompts (such as "Stable Flow Dynamics" and "Caution: Slump Loss Risk") to provide feedback to the driver on the current status. When the system detects an abnormal state, the interface triggers an audible and visual alarm, for example, emitting a continuous beep and displaying a red warning icon during the initial setting stage, while simultaneously suggesting appropriate measures, such as "Please expedite the transport and arrive at the pouring site as soon as possible" or "Contact the dispatch center to adjust the pouring sequence." The driver can take timely countermeasures based on the interface prompts to avoid engineering quality problems or transportation delays caused by deterioration of the concrete's condition. Furthermore, the vehicle-mounted system can store historical status data, allowing the driver to query status change records during the current transport process, providing data support for subsequent analysis.

[0067] It should be noted that the specific warning types and warning content can be set according to the actual situation and should not be regarded as a limitation on this application.

[0068] According to a second aspect of this application, a concrete flow state identification system is applied to a new energy mixer truck. The system includes a data acquisition unit, a rheological parameter calculation unit, and a concrete flow state determination unit.

[0069] The data acquisition unit is used to acquire the tank geometry parameters, real-time output electrical parameters, and real-time loading volume of the new energy mixer truck. The rheological parameter calculation unit is used to solve the Bingham fluid model by analogy between the new energy concrete mixer truck and a rheometer, based on the tank's geometric parameters, real-time output electrical parameters, and real-time loading volume, to obtain real-time rheological parameters. The concrete flow state determination unit is used to determine the real-time concrete flow state based on real-time rheological parameters and real-time output electrical parameters.

[0070] According to the concrete flow state identification system of this application, this application fully utilizes the existing electronic control system data interface of the new energy mixer truck to obtain the tank geometry parameters, real-time output electrical parameters, and real-time loading volume of the new energy mixer truck. Then, by analogy of the new energy mixer truck to a rheometer, the Bingham fluid model is solved based on the tank geometry parameters, real-time output electrical parameters, and real-time loading volume to obtain real-time rheological parameters. Finally, the real-time concrete flow state is determined based on the real-time rheological parameters and real-time output electrical parameters, realizing continuous and real-time state monitoring of concrete from loading, transportation to unloading, fundamentally changing the traditional lagging mode that relies on offline, sampling detection. This application does not require the installation of any dedicated physical sensors in the mixing tank, thus completely avoiding problems such as sensor vulnerability, complex maintenance, and difficult calibration caused by concrete contamination, significantly improving system reliability. In addition, this application adds almost no additional hardware costs, facilitating rapid promotion and large-scale deployment in existing new energy vehicle fleets. Its advantages are not limited to judging whether the flow state of concrete is normal, but also include the ability to quantitatively evaluate the workability of concrete through real-time inversion of rheological parameters, providing a more accurate and scientific basis for construction decisions than human experience.

[0071] Since the concrete flow state identification system adopts all the technical solutions of the concrete flow state identification method in the above embodiments, it has at least all the beneficial effects brought about by the technical solutions in the above embodiments, and will not be repeated here.

[0072] Additionally, one embodiment of this application provides a control device comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor. The processor and the memory can be connected via a bus or other means.

[0073] Memory, as a non-transitory computer-readable storage medium, can be used to store non-transitory software programs and non-transitory computer-executable programs. Furthermore, memory may include high-speed random access memory, and may also include non-transitory memory, such as at least one disk storage device, flash memory device, or other non-transitory solid-state storage device. In some embodiments, memory may optionally include memory remotely located relative to the processor, and these remote memories can be connected to the processor via a network. Examples of such networks include, but are not limited to, the Internet, intranets, local area networks, mobile communication networks, and combinations thereof.

[0074] The non-transient software program and instructions required to implement the concrete flow state identification method of the above embodiments are stored in the memory. When executed by the processor, the concrete flow state identification method of the above embodiments is executed.

[0075] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs.

[0076] Furthermore, one embodiment of this application also provides a new energy concrete mixer truck, including the control device as described in the above embodiments. Since the new energy concrete mixer truck adopts all the technical solutions of the control device described in the above embodiments, it possesses at least all the beneficial effects brought about by the technical solutions of the above embodiments.

[0077] Furthermore, one embodiment of this application provides a computer-readable storage medium storing computer-executable instructions that are executed by a processor or controller, for example, by a processor in the above-described embodiment of the new energy mixer truck, enabling the processor to execute the concrete flow state identification method in the above-described embodiment.

[0078] It will be understood by those skilled in the art that all or some of the steps and systems in the methods disclosed above can be implemented as software, firmware, hardware, and suitable combinations thereof. Some or all of the physical components can be implemented as software executed by a processor, such as a central processing unit, digital signal processor, or microprocessor, or as hardware, or as an integrated circuit, such as an application-specific integrated circuit. Such software can be distributed on a computer-readable medium, which can include computer storage media (or non-transitory media) and communication media (or transient media). As is known to those skilled in the art, the term computer storage media includes volatile and non-volatile, removable and non-removable media implemented in any method or technology for storing information (such as computer-readable instructions, data structures, program modules, or other data). Computer storage media includes, but is not limited to, RAM, ROM, EEPROM, flash memory or other memory technologies, CD-ROM, digital versatile disc (DVD) or other optical disc storage, magnetic cartridges, magnetic tape, disk storage or other magnetic storage devices, or any other medium that can be used to store desired information and is accessible to a computer. Furthermore, as is known to those skilled in the art, communication media typically contain computer-readable instructions, data structures, program modules, or other data in modulated data signals such as carrier waves or other transmission mechanisms, and may include any information delivery medium.

[0079] The embodiments of this application have been described in detail above with reference to the accompanying drawings. However, this application is not limited to the above embodiments. Within the scope of knowledge possessed by those skilled in the art, various changes can be made without departing from the spirit of this application.

Claims

1. A method for identifying the flow state of concrete, applied to new energy mixer trucks, characterized in that, The method includes: The geometric parameters of the tank, real-time output electrical parameters, and real-time loading volume of the new energy mixer truck are obtained. By analogy of the new energy mixing and transport vehicle to a rheometer, the Bingham fluid model is solved based on the tank's geometric parameters, the real-time output electrical parameters, and the real-time loading volume to obtain the real-time rheological parameters. The real-time concrete flow state is determined based on the real-time rheological parameters and the real-time output electrical parameters.

2. The method for identifying the flow state of concrete according to claim 1, characterized in that, The real-time output electrical parameters include real-time output current, real-time output voltage, and real-time rotational speed; the tank geometric parameters include the equivalent length of the tank and the radius of the tank wall; and the real-time rheological parameters include yield stress and plastic viscosity. The constraint formula for the Bingham fluid model is as follows: ； ； in, The real-time torque is calculated based on the real-time output current, real-time output voltage, and real-time speed. The equivalent length of the tank. The radius of the tank wall is denoted as . The radius of the inner stable layer of concrete inside the tank. For real-time loading volume, For real-time rotational speed, For yield stress, Plastic viscosity, The cross-sectional shape correction factor is determined through loading calibration tests and is used to correct area deviations caused by the actual distribution of concrete.

3. The method for identifying the flow state of concrete according to claim 1, characterized in that, The real-time concrete flow state includes static-to-rotational state, initial flow state, and steady-state flow state; the real-time output electrical parameters include real-time output current, real-time output voltage, and real-time rotational speed; and the real-time rheological parameters include yield stress and plastic viscosity. The determination of the real-time concrete flow state based on the real-time rheological parameters and the real-time output electrical parameters includes: Calculate the real-time power based on the real-time output current and the real-time output voltage; If, during the loading process, the ratio of the power change value to the no-load power is less than a first preset threshold, the real-time concrete flow state is determined to be the static-to-dynamic state; wherein, the power change value is equal to the difference between the real-time power and the no-load power, and the no-load power is equal to the product of the no-load output current and the no-load output voltage at the real-time rotational speed; If the real-time power exceeds the preset critical power for the first time from the start of loading, the real-time concrete flow state is determined to be the initial flow dynamic. Loading is completed when the loading volume reaches the preset volume value and the fluctuation range of the real-time power is within the preset stable fluctuation range. The preset critical power is greater than the no-load power. If, during transportation, the rate of change of the real-time power is within a preset first normal rate of change, and the rates of change of the yield stress and the plastic viscosity are within a preset second normal rate of change, then the real-time concrete flow state is determined to be the stable flow state.

4. The method for identifying the flow state of concrete according to claim 3, characterized in that, The real-time concrete flow state also includes abnormal states, including slump loss states; The determination of the real-time concrete flow state based on the real-time rheological parameters and the real-time output electrical parameters includes: If the real-time power is higher than the historical benchmark value under the same volume, and the growth rate of the yield stress is greater than the preset normal growth rate, the real-time concrete flow state is determined to be the slump loss state.

5. The method for identifying the flow state of concrete according to claim 4, characterized in that, The abnormal state also includes the initial condensation state; The method of determining the real-time concrete flow state based on the real-time rheological parameters and the real-time output electrical parameters further includes: If the growth rate of the yield stress within a preset time exceeds a second preset threshold, and the growth rate of the real-time power within the same time period exceeds a third preset threshold, the real-time concrete flow state is determined to be the initial setting state.

6. The method for identifying the flow state of concrete according to claim 4, characterized in that, The abnormal state also includes the segregation state, and the determination of the real-time concrete flow state based on the real-time rheological parameters and the real-time output electrical parameters further includes: If the standard deviation of the plastic viscosity fluctuation within a preset time exceeds a fourth preset threshold, and the fluctuation amplitude of the real-time power within the same time period exceeds a preset stable fluctuation range, the real-time concrete flow state is determined to be the segregation state.

7. The method for identifying the flow state of concrete according to claim 1, characterized in that, The method further includes: Obtain the real-time location information, real-time time information, and vehicle identification number information of the new energy concrete mixer truck; A status message is generated based on the real-time location information, the real-time time information, the vehicle identification number information, and the real-time concrete flow status. The status message is sent to the remote monitoring platform so that the remote monitoring platform can dynamically adjust the concrete transportation and pouring scheduling plan.

8. A concrete flow state recognition system, applied to new energy mixer trucks, characterized in that, The system includes: The data acquisition unit is used to acquire the tank geometric parameters, real-time output electrical parameters, and real-time loading volume of the new energy mixer truck. The rheological parameter calculation unit is used to calculate the Bingham fluid model by analogy between the new energy mixing and transport vehicle and a rheometer, based on the tank geometric parameters, the real-time output electrical parameters and the real-time loading volume, to obtain the real-time rheological parameters. A concrete flow state determination unit is used to determine the real-time concrete flow state based on the real-time rheological parameters and the real-time output electrical parameters.

9. A control device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the concrete flow state identification method as described in any one of claims 1 to 7.

10. A computer-readable storage medium storing computer-executable instructions, characterized in that, The computer-executable instructions are used to execute the concrete flow state identification method as described in any one of claims 1 to 7.

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