Capsule type impeller assembly and flow calculation method thereof

Abstract

The invention provides a capsule type impeller assembly and a flow calculation method thereof, and relates to the technical field of flow analysis, and the capsule type impeller assembly comprises a flow guide device, an impeller assembly, a capsule shell, a rotating shaft and a magnet; the flow guiding device is connected with the rotating shaft, the rotating shaft is connected with the impeller assembly and the magnet, and the flow guiding device, the rotating shaft, the magnet and the impeller assembly are all packaged in the capsule shell. The capsule type impeller assembly is in wireless communication connection with the cloud computing platform, flow calculation analysis is conducted through the cloud computing platform, flow calculation data are obtained, precise packaging and flow calculation of the impeller assembly are achieved, and sealing performance and calculation accuracy are enhanced.

Description

Technical Field

[0001] This invention proposes a capsule-type impeller assembly and its flow calculation method, which relates to the field of impeller assembly technology, specifically to the field of capsule-type impeller assembly and its flow calculation technology. Background Technology

[0002] In the field of fluid flow measurement, existing impeller assemblies are mostly distributed structures with poor sealing and low adaptability. This not only increases the difficulty and cycle time of product design, but also easily leads to poor measurement consistency due to installation deviations. The flow guiding structure and magnetic pole configuration of traditional devices are fixed, making it difficult to adapt to the measurement needs of different flow ranges. Moreover, the instrument coefficients are mostly fixed values, which cannot dynamically compensate for errors caused by changes in fluid characteristics and device configuration, resulting in limited measurement accuracy. Summary of the Invention

[0003] This invention provides a capsule-type impeller assembly and its flow calculation method to solve the above-mentioned problems:

[0004] This invention proposes a capsule-type impeller assembly and its flow calculation method. The capsule-type impeller assembly includes a flow guiding device 01, an impeller assembly 02, a capsule shell 03, a rotating shaft 04, and a magnet 05.

[0005] The flow guiding device 01 is connected to the rotating shaft 04, the rotating shaft 04 is connected to the impeller assembly 02 and the magnet 05, and the flow guiding device 01, the rotating shaft 04, the magnet 05 and the impeller assembly 02 are all encapsulated in the capsule shell 03;

[0006] The capsule-shaped impeller assembly 02 is wirelessly connected to the cloud computing platform, and traffic calculation and analysis are performed through the cloud computing platform to obtain traffic calculation data.

[0007] Furthermore, the flow guiding device 01 includes configuration information for multiple different flow ranges. By obtaining the configuration information for multiple different flow ranges, a flow guiding device 01 with multiple different flow ranges is obtained, thus obtaining a range flow guiding device 01.

[0008] Furthermore, the configuration information for the various flow ranges includes orifice number variation information, orifice diameter variation information, and orifice number and diameter combination variation information.

[0009] Furthermore, the magnet 05 includes a variety of different ranges of multiple pole combinations, and the magnet 05 is wirelessly connected to the Hall sensor.

[0010] Furthermore, the flow calculation method includes:

[0011] S1. Obtain the flow calculation formula based on the pulse signal, and obtain the meter coefficient based on the flow calculation formula;

[0012] S2. Obtain the instrument coefficient curves of configuration information for various flow ranges of the flow guiding device 01, perform first coefficient curve analysis, obtain first coefficient analysis data, and adjust the first coefficient of the instrument coefficient according to the first coefficient analysis data to obtain first coefficient adjustment data.

[0013] S3. Obtain the instrument coefficient curves of the number of multiple pole combinations with different pole ranges of magnet 05, perform second coefficient curve analysis, obtain second coefficient analysis data, and adjust the second coefficient of the instrument coefficient according to the second coefficient analysis data to obtain second coefficient adjustment data.

[0014] S4. Perform coefficient combination adjustment analysis based on the first coefficient adjustment data and the second coefficient adjustment data to obtain the final coefficient adjustment data. Update the instrument coefficients based on the final coefficient adjustment data and obtain the flow calculation data based on the updated instrument coefficients.

[0015] Further, S2 includes:

[0016] Obtain the configuration information for each traffic range, calculate the corresponding calibration curve data, and obtain the first coefficient curve;

[0017] The first traffic calculation data is obtained by combining the configuration information of different traffic ranges with the calibration curve data of the first coefficient curve;

[0018] The average value of multiple first traffic calculation data for various traffic ranges is obtained to obtain the first traffic average data;

[0019] The average value of multiple pulse data in various flow ranges is obtained to obtain the average data of the first pulse;

[0020] The first coefficient average data is calculated based on the first average flow data and the first average pulse data.

[0021] The average data of the first coefficient is the adjustment data of the first coefficient.

[0022] Furthermore, the first traffic calculation data obtained by combining the configuration information of different traffic ranges with the calibration curve data of the first coefficient curve includes:

[0023] Obtain the corresponding pulse frequency data based on the configuration information of each traffic range;

[0024] The pulse frequency data and its corresponding calibration curve data of the first coefficient curve are obtained and input into the first flow rate calculation formula to obtain the first flow rate calculation data.

[0025] Further, S3 includes:

[0026] Obtain the number of multiple pole pair combinations for each pole pair range and calculate the number of pulses for one rotation of impeller assembly 02;

[0027] Calculate the pulse frequency based on the impeller assembly 02 rotation speed and the number of pulses;

[0028] The second flow rate calculation data is calculated based on the impeller assembly 02 rotation speed and a preset influence coefficient.

[0029] The second flow comprehensive calculation process data is obtained by combining the calculation process data of the second flow calculation data with the calculation process data of the pulse frequency;

[0030] The average value of multiple second flow comprehensive calculation process data for various polar ranges is obtained to obtain the second calculation average process data;

[0031] The second coefficient adjustment data is calculated based on the second calculation average process data.

[0032] Further, the step of obtaining the comprehensive calculation process data of the second flow rate by combining the calculation process data of the second flow rate calculation data with the calculation process data of the pulse frequency includes:

[0033] The pulse frequency and preset influence coefficient are obtained based on the calculation process data of the second flow calculation data;

[0034] Pulse data and impeller speed are obtained based on the pulse frequency calculation process data;

[0035] Input the pulse frequency, preset influence coefficient, pulse data and impeller speed into the second flow calculation formula;

[0036] The calculation process data of the second flow calculation formula is the second flow comprehensive calculation process data.

[0037] Further, S4 includes:

[0038] The first coefficient adjustment data and the second coefficient adjustment data are weighted and fused to obtain the final coefficient adjustment data; the current instrument coefficient is updated according to the final coefficient adjustment data; pulse signals are collected in real time, and the current pulse frequency is calculated according to the collected pulse signals; the current instantaneous flow rate is calculated according to the updated current instrument coefficient and the current pulse frequency using the flow calculation formula, and the current instantaneous flow rate is the flow calculation data.

[0039] The beneficial effects of this invention are as follows: This invention integrates and encapsulates all functional components within the capsule shell 03 to obtain a uniformly sealed capsule-shaped impeller assembly 02, which greatly enhances the sealing performance of the assembly, significantly reduces the risk of liquid leakage, and enables direct overall implantation into the water pipes of various products without requiring major modifications to the original structure of the product, thus significantly reducing the difficulty of product design and integration.

[0040] The flow guiding device 01 provides pathways for different flow ranges through various combinations of orifice numbers and diameters. The magnet 05 features a multi-pole combination design to match different measurement accuracy requirements. Combined with the universal design of the capsule shell 03, it can be implanted in rigid pipes or adapted to the flexible installation environment of flexible tubes. For products with complex structures and limited space, it can be easily integrated as long as an installation channel is reserved.

[0041] Through standardized component assembly and structural design, the flow field guidance, rotational transmission, and signal output characteristics of each impeller assembly 02 are kept consistent, avoiding measurement deviations caused by dispersed component installation or adaptation differences.

[0042] By wirelessly linking with the cloud computing platform, remote calculation and analysis of traffic data can be achieved, eliminating the need to configure complex computing modules locally on the product and simplifying the product's local structure design. Attached Figure Description

[0043] Figure 1 A schematic diagram illustrating the flow rate calculation method for a capsule-type impeller assembly;

[0044] Figure 2 This is a schematic diagram of a capsule-shaped impeller assembly;

[0045] Figure 3 This is a structural diagram of a capsule-type impeller assembly.

[0046] Explanation of reference numerals in the attached drawings: 01, flow guiding device; 02, impeller assembly; 03, capsule shell; 04, rotating shaft; 05, magnet. Detailed Implementation

[0047] The preferred embodiments of the present invention will be described below with reference to the accompanying drawings. It should be understood that the preferred embodiments described herein are for illustration and explanation only and are not intended to limit the present invention.

[0048] In one embodiment of the present invention, a capsule-type impeller assembly 02 (such as...) is proposed by the present invention. Figure 1 As shown in the figure, the capsule-type impeller assembly 02 includes a flow guiding device 01, an impeller assembly 02, a capsule shell 03, a rotating shaft 04, and a magnet 05, as shown in the figure. Figure 2 As shown;

[0049] The flow guiding device 01 is connected to the rotating shaft 04, the rotating shaft 04 is connected to the impeller assembly 02 and the magnet 05, and the flow guiding device 01, the rotating shaft 04, the magnet 05 and the impeller assembly 02 are all encapsulated in the capsule shell 03;

[0050] The capsule-shaped impeller assembly 02 is wirelessly connected to the cloud computing platform, and traffic calculation and analysis are performed through the cloud computing platform to obtain traffic calculation data.

[0051] The flow guiding device 01 includes configuration information for various flow ranges. By obtaining the configuration information for various flow ranges, the flow guiding device 01 with various flow ranges is obtained, thus obtaining the range flow guiding device 01.

[0052] The configuration information for the various flow ranges includes information on changes in the number of orifices, changes in orifice diameter, and changes in combinations of the number of orifices and orifice diameter.

[0053] The magnet 05 includes a variety of different ranges of multiple pole combinations, and the magnet 05 is wirelessly connected to the Hall sensor.

[0054] Example of information on changes in the number of holes:

[0055] Configuration 1-1: 4 wells, suitable for a wide flow rate range of 500-1000 mL / min;

[0056] Configuration 1-2: 8 orifices, suitable for medium flow rates of 200-500 mL / min;

[0057] Configurations 1-3: 12 orifices, suitable for a small flow rate range of 0.1-200 mL / min.

[0058] Example of aperture change information:

[0059] Configuration 2-1: 4mm orifice diameter, suitable for an ultra-wide flow rate range of 600-1000 mL / min;

[0060] Configuration 2-2: 2mm orifice diameter, suitable for medium to large flow rates of 300-600 mL / min;

[0061] Configuration 2-3: 1mm orifice diameter, suitable for small to medium flow rates of 0.1-300 mL / min.

[0062] Examples of variations in the combination of orifice number and orifice diameter:

[0063] Configuration 3-1: 5 orifices, 3mm orifice diameter, suitable for commercial-grade flow rates of 400-800 mL / min;

[0064] Configuration 3-2: 10 holes, 1.5mm diameter, suitable for flow rates of 100-400 mL / min in home smart devices;

[0065] Configuration 3-3: 15 orifices with a diameter of 0.8 mm, suitable for high-precision small flow rates of 0.1-100 mL / min.

[0066] The structural features of the capsule-type impeller assembly include:

[0067] The capsule shell is made of water-resistant and corrosion-resistant materials (such as engineering plastics and stainless steel), and the sealed structure prevents water leakage and penetration.

[0068] The overall structure is compact and miniaturized, making it suitable for installation in narrow spaces such as inside pipes and equipment.

[0069] The outer shell features an anti-slip / anti-displacement positioning structure (such as elastic buckles and fitting slots) to ensure stability after implantation.

[0070] Internal components are waterproof encapsulated, and the wireless communication module is adapted for signal transmission in underwater / humid environments;

[0071] The flow channel design of the flow guide device is adapted to the water flow direction in the pipe, and it does not interfere with the original water flow path after installation.

[0072] The working principle and technical effects of the above technical solution are as follows: This invention achieves an integrated packaging design, integrating and packaging core components such as the flow guiding device 01, impeller assembly 02, rotating shaft 04, and magnet 05 through the capsule shell 03, resulting in a flexibly installable capsule-shaped impeller assembly 02. Each component achieves functional linkage through precise assembly. The flow guiding device 01 and rotating shaft 04 are used for positioning, and the rotating shaft 04 connects the impeller assembly 02 and magnet 05, enabling synchronous and stable rotation of the impeller assembly 02 and magnet 05 when driven by water flow. The flow guiding device 01 is configured with various structural parameters for different flow ranges. By varying the number of holes, the hole diameter, or a combination of both, it meets the measurement needs of different flow scenarios, guiding the water flow to form a stable flow field and avoiding impeller rotation turbulence. The magnet 05 employs a multi-pole combination design with various ranges, working in conjunction with an external Hall sensor. When the impeller assembly 02 rotates, it drives the magnet 05 to rotate synchronously. The change in magnetic poles is sensed by the Hall sensor and converted into a pulse signal. The capsule-shaped impeller assembly 02 establishes a connection with the cloud computing platform via wireless communication, uploads the collected pulse signal-related data to the platform, performs flow calculation and analysis through the cloud computing platform, and outputs flow calculation data.

[0073] This invention integrates all functional components into a capsule shell 03 to obtain a uniformly sealed capsule-shaped impeller assembly 02, which greatly enhances the sealing performance of the assembly, greatly reduces the risk of liquid leakage, and enables direct overall implantation into the water pipes of various products without the need for major modifications to the original structure of the product, significantly reducing the difficulty of product design and integration.

[0074] The flow guiding device 01 provides pathways for different flow ranges through various combinations of orifice numbers and diameters. The magnet 05 features a multi-pole combination design to match different measurement accuracy requirements. Combined with the universal design of the capsule shell 03, it can be implanted in rigid pipes or adapted to the flexible installation environment of flexible tubes. For products with complex structures and limited space, it can be easily integrated as long as an installation channel is reserved.

[0075] Through standardized component assembly and structural design, the flow field guidance, rotational transmission, and signal output characteristics of each impeller assembly 02 are kept consistent, avoiding measurement deviations caused by dispersed component installation or adaptation differences.

[0076] By wirelessly linking with the cloud computing platform, remote calculation and analysis of traffic data can be achieved, eliminating the need to configure complex computing modules locally on the product and simplifying the product's local structure design.

[0077] In one embodiment of the present invention, the flow calculation method includes:

[0078] S1. Obtain the flow calculation formula based on the pulse signal, and obtain the instrument coefficient based on the flow calculation formula; the flow calculation formula is Q=K×f; where Q is the volumetric flow rate (e.g., mL / min, L / h), f is the pulse frequency output by the Hall sensor (Hz, i.e., the number of pulses per second), and K is the instrument coefficient, which varies with the flow range, fluid characteristics, flow guide configuration, and number of magnetic pole pairs.

[0079] S2. Obtain the instrument coefficient curves of configuration information for various flow ranges of the flow guiding device 01, perform first coefficient curve analysis, obtain first coefficient analysis data, and adjust the first coefficient of the instrument coefficient according to the first coefficient analysis data to obtain first coefficient adjustment data.

[0080] S3. Obtain the instrument coefficient curves of the number of multiple pole combinations with different pole ranges of magnet 05, perform second coefficient curve analysis, obtain second coefficient analysis data, and adjust the second coefficient of the instrument coefficient according to the second coefficient analysis data to obtain second coefficient adjustment data.

[0081] S4. Perform coefficient combination adjustment analysis based on the first coefficient adjustment data and the second coefficient adjustment data to obtain the final coefficient adjustment data. Update the instrument coefficients based on the final coefficient adjustment data, and obtain flow calculation data based on the updated instrument coefficients, such as... Figure 3 As shown.

[0082] The working principle and technical effect of the above technical solution are as follows: the correlation between volumetric flow rate Q, pulse frequency f and instrument coefficient K is determined by the classic pulse frequency flow rate calculation formula Q=K×f. The instrument coefficient K is not a fixed value, but is dynamically adjusted with the changes in flow range, fluid characteristics, flow guiding device 01 configuration and magnetic pole pairs of magnet 05.

[0083] Based on the configuration information of various flow ranges of the flow guiding device 01, the first coefficient adjustment data is obtained through coefficient curve analysis; the second dimension is based on the number of various pole combinations of the magnet 05, and the second coefficient adjustment data is obtained through coefficient curve analysis.

[0084] The coefficient adjustment data from the two dimensions are combined and analyzed to obtain the final coefficient adjustment data. The initial instrument coefficients are then updated using this data to enhance the accuracy of the instrument coefficients.

[0085] Based on the updated meter coefficients and the real-time pulse frequency, the current instantaneous flow rate is calculated using the flow calculation formula, thus achieving accurate flow measurement.

[0086] This method fully considers the influence of multiple factors on measurement accuracy, such as the configuration of the flow guiding device 01, the number of magnetic pole pairs of magnet 05, the flow range, and fluid characteristics. Through two-dimensional coefficient adjustment and combination optimization, it achieves dynamic and precise matching of instrument coefficients, avoiding the problem of insufficient scenario adaptability caused by single coefficient calibration in existing technologies, and improving the flow measurement accuracy in all scenarios. From the establishment of basic formulas to the multi-dimensional adjustment of coefficients, and then to the final coefficient fusion and flow calculation, the accuracy of measurement data is greatly enhanced. The dynamic update mechanism of instrument coefficients allows the flow calculation method to quickly adapt to different flow guiding configurations, magnetic pole pair combinations, and changes in fluid characteristics; the measurement needs of new scenarios can be met simply by adjusting the coefficients.

[0087] In one embodiment of the present invention, S2 includes:

[0088] Obtain the configuration information for each traffic range, calculate the corresponding calibration curve data, and obtain the first coefficient curve; the calibration curve data K=F(f); where f is the pulse frequency;

[0089] The first traffic calculation data is obtained by combining the configuration information of different traffic ranges with the calibration curve data of the first coefficient curve;

[0090] The average value of multiple first traffic calculation data for various traffic ranges is obtained to obtain the first traffic average data;

[0091] The average value of multiple pulse data in various flow ranges is obtained to obtain the average data of the first pulse;

[0092] The first coefficient average data is calculated based on the first average flow data and the first average pulse data.

[0093] The average data of the first coefficient is the adjustment data of the first coefficient.

[0094] The working principle and technical effect of the above technical solution are as follows: For each flow range configuration information of the flow guiding device 01, its corresponding calibration curve data is calculated separately, and a first coefficient curve K=F(f) is constructed. The curve intuitively reflects the change law of the instrument coefficient K with the pulse frequency f under the flow guiding configuration. Based on the first coefficient curve of each flow guiding configuration, combined with its corresponding pulse frequency data, the first flow calculation data under each flow guiding configuration is calculated, improving the accuracy of flow calculation results for each flow range scenario. To reduce the random error of single flow range data, the first flow calculation data of multiple flow ranges are averaged to obtain the first flow average data; at the same time, the multiple pulse data of multiple flow ranges are averaged to obtain the first pulse average data. By calculating the ratio of the first flow average data to the first pulse average data, the first coefficient average data is obtained. This data is the first coefficient adjustment data, which comprehensively reflects the coefficient optimization results under all flow guiding configurations.

[0095] This method establishes separate coefficient curves for each flow diversion configuration, achieving accurate calibration under different flow range scenarios. It avoids measurement deviations in local flow ranges caused by a one-size-fits-all calibration, and particularly improves calibration accuracy for special flow ranges. By averaging flow and pulse data from multiple flow ranges, it effectively offsets random and systematic errors from single data points, making the first coefficient adjustment data more representative and stable, and reducing the impact of accidental factors on the coefficient adjustment results. The calculation of the first coefficient adjustment data is based on measured data and calibration curves from multiple flow ranges, rather than theoretical derivation, improving the practical adaptability of the adjustment data.

[0096] In one embodiment of the present invention, the first flow calculation data obtained by combining configuration information for different flow ranges with calibration curve data of the first coefficient curve includes:

[0097] Obtain the corresponding pulse frequency data based on the configuration information of each traffic range;

[0098] The pulse frequency data and its corresponding calibration curve data of the first coefficient curve are obtained and input into the first flow rate calculation formula to obtain the first flow rate calculation data.

[0099] The working principle and technical effect of the above technical solution are as follows: Based on the flow guidance configuration information for each flow range, the pulse signal output by the Hall sensor under this configuration is collected in real time in actual use scenarios or through simulation experiments, and the corresponding pulse frequency data is statistically obtained. The first coefficient curve corresponding to the flow guidance configuration is retrieved, and the corresponding calibration curve data (i.e., the adaptive instrument coefficient under this pulse frequency) is obtained by matching the collected pulse frequency data on the coefficient curve. The pulse frequency data and the corresponding calibration curve data are substituted into the preset first flow calculation formula, and the first flow calculation data under this flow guidance configuration and this pulse frequency is obtained through calculation, thus completing the flow data calculation for a single scenario.

[0100] This method directly collects pulse frequency data based on the actual operating status of the corresponding flow guidance configuration, avoiding deviations caused by data reuse across configurations and greatly enhancing the relevance and accuracy of the input data. It quickly matches the instrument coefficients corresponding to the pulse frequency using coefficient curves, eliminating the need for complex recalibration calculations and improving the efficiency of flow data calculation, enabling real-time flow calculation and output. It avoids calculation errors caused by formula differences and reduces the complexity of program implementation. Each flow calculation data point corresponds one-to-one with a specific flow guidance configuration and a specific pulse frequency, accurately reflecting the actual flow status in that scenario.

[0101] In one embodiment of the present invention, S3 includes:

[0102] Obtain the number of multiple pole pair combinations for each pole pair range and calculate the number of pulses for one rotation of impeller assembly 02;

[0103] Calculate the pulse frequency based on the impeller assembly 02 rotation speed and the number of pulses;

[0104] The second flow rate calculation data is calculated based on the impeller assembly 02 rotation speed and a preset influence coefficient.

[0105] The second flow comprehensive calculation process data is obtained by combining the calculation process data of the second flow calculation data with the calculation process data of the pulse frequency;

[0106] The average value of multiple second flow comprehensive calculation process data for various polar ranges is obtained to obtain the second calculation average process data;

[0107] The second coefficient adjustment data is calculated based on the second calculation average process data.

[0108] The working principle and technical effect of the above technical solution are as follows: Based on the number of multiple pole pair combinations for each pole pair range of magnet 05, the number of pulses output by the Hall sensor when the impeller assembly 02 rotates once is obtained (the number of pulses is directly related to the number of magnetic pole pairs), establishing a fixed correlation between the number of magnetic pole pairs and the number of pulses. The real-time rotational speed of the impeller assembly 02 is obtained through sensor acquisition or calculation, and combined with the above pulse number, the corresponding pulse frequency (the product of rotational speed and the number of pulses) is calculated, realizing the indirect and accurate derivation of the pulse frequency. Considering the influence of fluid characteristics and other factors on flow measurement, a preset influence coefficient (such as a fluid viscosity correction coefficient) is introduced, and combined with the rotational speed of the impeller assembly 02, a second flow calculation data is obtained to compensate for the measurement deviation caused by non-magnetic pole factors. The calculation process data (including rotational speed, preset influence coefficients, etc.) of the second flow rate calculation data and the pulse frequency calculation process data (including rotational speed, pulse count, etc.) are extracted and fused to form the comprehensive second flow rate calculation process data, which comprehensively covers the key parameters in the calculation process. The average of multiple comprehensive second flow rate calculation process data across various pole pair ranges is processed to obtain the second average calculation process data. Based on this data, the second coefficient adjustment data is calculated, comprehensively reflecting the coefficient optimization results under all pole pair combinations. The pulse frequency is calculated based on the fixed correlation between impeller rotational speed and pole pair number, avoiding interference errors that may occur when directly acquiring pulse signals. Especially in low-speed, low-flow scenarios, the derived results are more stable and accurate. By incorporating preset influence coefficients into the flow rate calculation process, the influence of non-magnetic factors such as fluid characteristics on the measurement results is effectively compensated. The fusion of the entire process data from flow rate calculation and pulse frequency calculation improves the comprehensiveness of the comprehensive second flow rate calculation process data.

[0109] In one embodiment of the present invention, obtaining the second flow comprehensive calculation process data by combining the calculation process data of the second flow calculation data with the calculation process data of the pulse frequency includes:

[0110] The pulse frequency and preset influence coefficient are obtained based on the calculation process data of the second flow calculation data;

[0111] Pulse data and impeller speed are obtained based on the pulse frequency calculation process data;

[0112] Input the pulse frequency, preset influence coefficient, pulse data and impeller speed into the second flow calculation formula;

[0113] The calculation process data of the second flow calculation formula is the second flow comprehensive calculation process data.

[0114] The working principle and technical effects of the above technical solution are as follows: Key parameters are extracted from the calculation process of the second flow rate calculation data. These include the pulse frequency derived through formula derivation and the preset influence coefficient used to compensate for the effects of fluid characteristics, thus enhancing the direct correlation between these parameters and flow rate calculation. Core basic parameters are extracted from the pulse frequency calculation process. These include the pulse data (number of pulses) sensed by the Hall sensor and the impeller speed obtained through sensor acquisition or derivation, clarifying the source of the pulse frequency calculation. The extracted key parameters, such as pulse frequency, preset influence coefficient, pulse data, and impeller speed, are uniformly input into the preset second flow rate calculation formula. This formula comprehensively integrates the influence relationship of each parameter on the flow rate. The complete calculation process data of the second flow rate calculation formula is recorded, including parameter substitution, intermediate calculation results, and final calculation logic. This process data constitutes the comprehensive second flow rate calculation process data, fully reflecting the entire chain of information in flow rate calculation.

[0115] This method improves the relevance and effectiveness of the parameters input into the second flow calculation formula. It comprehensively records the entire calculation process, including parameter sources and intermediate calculation steps. By integrating multiple key parameters into the same formula, it achieves centralized integration of parameter information, avoiding the limitations of single-parameter analysis, and reducing and consolidating various data to obtain simplified calculation data.

[0116] In one embodiment of the present invention, S4 includes:

[0117] The first coefficient adjustment data and the second coefficient adjustment data are weighted and fused to obtain the final coefficient adjustment data; the current instrument coefficient is updated based on the final coefficient adjustment data; pulse signals are collected in real time, and the current pulse frequency is calculated based on the collected pulse signals; the current instantaneous flow rate is calculated using the flow calculation formula based on the updated current instrument coefficient and the current pulse frequency, and the current instantaneous flow rate is the flow calculation data. An example of the overall calculation is as follows (this is only one of several calculation methods):

[0118] Calibration curve and pulse frequency acquisition:

[0119] Low flow rate configuration: Calibration curve K1=0.5f (f unit: Hz), measured pulse frequency f1=20Hz;

[0120] Medium flow rate configuration: calibration curve K2=0.4f, measured pulse frequency f2=50Hz;

[0121] High flow rate configuration: Calibration curve K3=0.3f, measured pulse frequency f3=80Hz.

[0122] First flow calculation data:

[0123] Low flow rate: Q1 = K1 × f1 = 0.5 × 20 × 20 = 200 mL / min;

[0124] Medium flow rate: Q2 = K2 × f2 = 0.4 × 50 × 50 = 1000 mL / min;

[0125] High flow rate: Q3 = K3 × f3 = 0.3 × 80 × 80 = 1920 mL / min.

[0126] Average data calculation:

[0127] First average flow rate data: (200+1000+1920)÷3=1040mL / min;

[0128] The average data for the first pulse is (20+50+80)÷3=50Hz.

[0129] First coefficient adjustment data: 1040÷50=20.8mL / (Hz·pulse).

[0130] Assuming magnet 05 has 3 pole pair combinations (2 pole pairs / 4 pole pairs / 6 pole pairs), and the preset influence coefficient μ=1.0, the specific calculation is as follows:

[0131] Pulse count and pulse frequency: 2 pole pairs: Pulse count per impeller revolution = 2, measured rotational speed n1 = 10 r / s.

[0132] f_magnetic1 = 10 × 2 = 20 Hz;

[0133] 4 pole pairs: pulse number = 4, rotational speed n2 = 15 r / s, fmagnetic 2 = 15 × 4 = 60 Hz;

[0134] 6 pole pairs: Pulse count = 6, rotation speed n3 = 20 r / s, f magnetic 3 = 20 × 6 = 120 Hz.

[0135] Second flow calculation data (simplified formula Qmagnetism = 10 × n × μ):

[0136] Q_magnetic1 = 10 × 10 × 1.0 = 100 mL / min;

[0137] Qmagnetic2 = 10 × 15 × 1.0 = 150 mL / min;

[0138] Q_magnetic3 = 10 × 20 × 1.0 = 200 mL / min.

[0139] Combined process data and averages:

[0140] Second flow comprehensive calculation process data (taking Q magnetism × f magnetism): 2000, 9000, 24000;

[0141] Second calculation of average process data:

[0142] (2000+9000+24000)÷3≈11666.7.

[0143] Second coefficient adjustment data:

[0144] 11666.7÷(20+60+120)=58.33mL / (Hz·pulse).

[0145] Weighted fusion (weights α=0.4, β=0.6):

[0146] Final coefficient adjustment data:

[0147] 20.8×0.4+58.33×0.6≈43.32mL / (Hz·pulse).

[0148] Real-time traffic calculation:

[0149] Real-time acquisition of pulse signals, calculation of current pulse frequency factual = 40Hz; current instantaneous flow rate: Qactual = 43.32 × 40 ≈ 1732.8 mL / min.

[0150] The working principle and technical effect of the above technical solution are as follows: Based on the first coefficient adjustment data of the flow guiding device (01 dimension) and the second coefficient adjustment data of the magnet (05 dimension), a weighted fusion method is used for processing. The fusion ratio is allocated according to the weight of the influence of the two dimensions of data on the measurement accuracy, improving the fusion result by focusing more on key influencing factors. The final coefficient adjustment data obtained by weighted fusion is used to update the initially set instrument coefficients, so that the updated instrument coefficients are adapted to the actual characteristics of the flow guiding configuration and the number of magnetic pole pairs, improving the formula adaptability. The pulse signal generated by the rotation of the magnet (05) is collected in real time by an external Hall sensor. The collected pulse signal is statistically analyzed to calculate the pulse frequency f at the current moment, improving the real-time and timeliness of the frequency data. The updated current instrument coefficient K and the real-time calculated current pulse frequency f are substituted into the core flow calculation formula Q=K×f to directly calculate the current instantaneous flow rate. This flow rate data is the final flow rate calculation data.

[0151] Weighted fusion achieves complementary advantages of dual-dimensional coefficient adjustment data, avoiding the limitations of single-dimensional adjustment. This makes the final instrument coefficients more closely reflect the comprehensive characteristics of actual usage scenarios, significantly improving the accuracy of flow calculation. Real-time acquisition of pulse signals and calculation of pulse frequencies, combined with updated instrument coefficients, quickly outputs instantaneous flow, improving the real-time nature of flow data and accurately capturing dynamic changes in flow. From coefficient fusion and instrument coefficient updates to pulse signal acquisition and flow calculation, the entire process can be automated without manual intervention, reducing human error and improving the efficiency of flow measurement. The updated instrument coefficients have good scenario adaptability, and combined with accurate real-time pulse frequency acquisition, the flow calculation data can stably reflect the actual flow status, avoiding measurement fluctuations caused by fixed coefficients or lag in frequency acquisition.

[0152] Obviously, those skilled in the art can make various modifications and variations to this invention without departing from its spirit and scope. Therefore, if these modifications and variations fall within the scope of the claims of this invention and their equivalents, this invention also intends to include these modifications and variations.

Claims

1. A capsule-shaped impeller assembly, characterized in that, The capsule-shaped impeller assembly includes a flow guiding device, an impeller assembly, a capsule shell, a rotating shaft, and a magnet; The flow guiding device is connected to the rotating shaft, which is connected to the impeller assembly and the magnet respectively. The flow guiding device, the rotating shaft, the magnet and the impeller assembly are all encapsulated in the capsule shell. The capsule-shaped impeller assembly is wirelessly connected to a cloud computing platform, which performs flow calculation and analysis to obtain flow calculation data.

2. The capsule-type impeller assembly according to claim 1, characterized in that, The flow guiding device includes configuration information for various flow ranges. By obtaining the configuration information for various flow ranges, a flow guiding device with different flow ranges is obtained.

3. The capsule-type impeller assembly according to claim 2, characterized in that, The configuration information for the various flow ranges includes information on changes in the number of orifices, changes in orifice diameter, and changes in combinations of the number of orifices and orifice diameter.

4. The capsule-type impeller assembly according to claim 1, characterized in that, The magnet includes a variety of different ranges of multiple pole combinations, and the magnet is wirelessly connected to the Hall sensor.

5. A method for calculating the flow rate of the capsule-shaped impeller assembly as described in claim 1, characterized in that, The flow calculation method includes: S1. Obtain the flow calculation formula based on the pulse signal, and obtain the meter coefficient based on the flow calculation formula; S2. Obtain the instrument coefficient curves of configuration information for various flow ranges of the flow guiding device, perform first coefficient curve analysis, obtain first coefficient analysis data, adjust the first coefficient of the instrument coefficient based on the first coefficient analysis data, and obtain first coefficient adjustment data. S3. Obtain the instrument coefficient curves of the number of multiple pole combinations with different pole ranges of the magnet, perform second coefficient curve analysis, obtain second coefficient analysis data, and adjust the second coefficient of the instrument coefficient according to the second coefficient analysis data to obtain second coefficient adjustment data. S4. Perform coefficient combination adjustment analysis based on the first coefficient adjustment data and the second coefficient adjustment data to obtain the final coefficient adjustment data. Update the instrument coefficients based on the final coefficient adjustment data and obtain the flow calculation data based on the updated instrument coefficients.

6. The flow calculation method for a capsule-type impeller assembly according to claim 5, characterized in that, S2 includes: Obtain the configuration information for each traffic range, calculate the corresponding calibration curve data, and obtain the first coefficient curve; The first traffic calculation data is obtained by combining the configuration information of different traffic ranges with the calibration curve data of the first coefficient curve; The average value of multiple first traffic calculation data for various traffic ranges is obtained to obtain the first traffic average data; The average value of multiple pulse data in various flow ranges is obtained to obtain the average data of the first pulse; The first coefficient average data is calculated based on the first average flow data and the first average pulse data. The average data of the first coefficient is the adjustment data of the first coefficient.

7. The flow calculation method for a capsule-type impeller assembly according to claim 6, characterized in that, The first traffic calculation data, obtained by combining configuration information for different traffic ranges with calibration curve data of the first coefficient curve, includes: Obtain the corresponding pulse frequency data based on the configuration information of each traffic range; The pulse frequency data and its corresponding calibration curve data of the first coefficient curve are obtained and input into the first flow rate calculation formula to obtain the first flow rate calculation data.

8. The flow calculation method for a capsule-type impeller assembly according to claim 6, characterized in that, S3 includes: Obtain the number of multiple pole pair combinations for each pole pair range and calculate the number of pulses per revolution of the impeller assembly; The pulse frequency is calculated based on the impeller assembly rotation speed and the number of pulses. The second flow rate calculation data is calculated based on the impeller assembly rotation speed and a preset influence coefficient. The second flow comprehensive calculation process data is obtained by combining the calculation process data of the second flow calculation data with the calculation process data of the pulse frequency; The average value of multiple second flow comprehensive calculation process data for various polar ranges is obtained to obtain the second calculation average process data; The second coefficient adjustment data is calculated based on the second calculation average process data.

9. The flow calculation method for a capsule-type impeller assembly according to claim 8, characterized in that, The process of obtaining comprehensive second flow calculation data by combining the calculation process data of the second flow calculation data with the calculation process data of the pulse frequency includes: The pulse frequency and preset influence coefficient are obtained based on the calculation process data of the second flow calculation data; Pulse data and impeller speed are obtained based on the pulse frequency calculation process data; Input the pulse frequency, preset influence coefficient, pulse data and impeller speed into the second flow calculation formula; The calculation process data of the second flow calculation formula is the second flow comprehensive calculation process data.

10. The flow calculation method for a capsule-type impeller assembly according to claim 6, characterized in that, S4 includes: The first coefficient adjustment data and the second coefficient adjustment data are weighted and fused to obtain the final coefficient adjustment data; the current instrument coefficient is updated according to the final coefficient adjustment data; pulse signals are collected in real time, and the current pulse frequency is calculated according to the collected pulse signals; the current instantaneous flow rate is calculated according to the updated current instrument coefficient and the current pulse frequency using the flow calculation formula, and the current instantaneous flow rate is the flow calculation data.

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