Device for detecting service life of rotating wheel and use method thereof

Abstract

The invention belongs to the technical field of dehumidifier detection devices, and particularly relates to a rotating wheel service life detection device which is characterized by comprising a signal acquisition unit, a data processing unit and an interactive output unit. The signal acquisition unit is in signal communication with the data processing unit and is used for acquiring multi-dimensional physical parameters of operation of the dehumidification rotating wheel; a data storage unit and a physical model algorithm are arranged in the data processing unit, and the data processing unit is used for calling rated parameters and calculating characteristic indexes; whether the dehumidification performance of the current rotating wheel is healthy or not can be judged through the performance achievement rate and the regeneration composite coefficient, whether the current rotating wheel is blocked or aged or not can be judged by combining the pressure difference, different maintenance schemes are provided, the detection precision is high, and the cost is low.

Description

Technical Field

[0001] This invention belongs to the technical field of dehumidifier testing devices, specifically relating to a device for testing the lifespan of a dehumidifier impeller and its usage method. Background Technology

[0002] Rotary dehumidifiers are widely used in industries with strict humidity control requirements, such as lithium batteries, pharmaceuticals, and food. Their core dehumidification mechanism is a rotating wheel filled with adsorbent material (such as silica gel or molecular sieves). Over long-term operation, the dehumidification performance of this wheel will irreversibly decline due to adsorbent aging, micropore blockage, and chemical contamination, requiring periodic replacement.

[0003] Currently, determining the lifespan of the rotor mainly relies on: subjective methods such as observation of regeneration exhaust air temperature and dew point by experienced engineers, or on detection by fixed instrument sensors installed on the equipment, as well as estimation by operating time; However, the above methods have the problem of low detection accuracy and high cost due to the reliance on installing fixed instruments and sensors.

[0004] Therefore, the applicant proposes a device and method for detecting the lifespan of a rotor to solve the above-mentioned technical problems. Summary of the Invention

[0005] In view of the problems existing in the prior art, the purpose of the present invention is to provide a device for detecting the life of a rotor and a method for using it, so as to solve the above-mentioned technical problems.

[0006] To achieve the above objectives, the present invention provides the following technical solution: A device for detecting the lifespan of a rotor, characterized in that it includes a signal acquisition unit, a data processing unit, and an interactive output unit; The signal acquisition unit is connected to the data processing unit and is used to acquire multi-dimensional physical parameters of the dehumidifier rotor operation. The data processing unit has a built-in data storage unit and physical model algorithm, which are used to retrieve the rated parameters and calculate the characteristic indicators. The interactive output unit is used to implement parameter input and diagnostic result output.

[0007] Furthermore, the signal acquisition unit includes a multi-parameter detection probe and a wind resistance detection module. The multi-parameter detection probe is used to acquire the temperature and humidity of the dehumidifier, and the wind resistance detection module is used to acquire the pressure difference of the dehumidifier impeller.

[0008] Furthermore, the data storage unit stores parameter data for various models of rotary dehumidifiers.

[0009] A method of using a device for detecting the lifespan of a rotor includes the following steps: S1: Connect the signal acquisition unit to the dehumidifier detection point and input the model of the device under test through the interactive output unit to automatically obtain the factory rated parameters of the dehumidifier. S2: The signal acquisition unit synchronously acquires real-time data from the dehumidifier's detection points, and transmits it to the data processing unit after filtering and analog-to-digital conversion; S3: The data processing unit calculates the performance achievement rate η and the regeneration composite coefficient K based on a preset physical model algorithm; S4: The data processing unit compares the calculated computing performance achievement rate η and the regeneration composite coefficient K with the threshold preset in the data storage unit and executes the judgment logic; S5: Display the conclusions obtained according to the judgment logic and the key data output on the interactive output unit.

[0010] Furthermore, the dehumidifier detection points in S1 are the regeneration air inlet duct, the regeneration air outlet duct, and the rotor. The multi-parameter detection probe and the wind resistance detection module detect real-time data of temperature T1, humidity RH1, and pressure difference ΔP at the rotor, real-time data of temperature T2 at the outlet of the regeneration air inlet duct, and real-time data of temperature T3 at the outlet of the regeneration air outlet duct.

[0011] Furthermore, the factory-rated parameters in step S1 include rated air volume Q, designed dehumidification capacity W1, rated regeneration power P_heater, and regeneration air volume Q_regen.

[0012] Furthermore, the physical calculation model in S3 calculates the current measured dehumidification capacity W2 based on T1 and RH1, and the calculation step is to calculate the moisture content of the incoming air d1; d1=0.622×[(RH1÷100)×P_s(T1)] / [P_atm-(RH1÷100)×P_s(T1)]; Wherein, P_s(T1) is the saturated vapor pressure corresponding to T1, and P_s(T1) can be directly retrieved from the database of the data storage unit; P_atm is the local atmospheric pressure; Then, the actual processing air volume Q_meas was measured using the aforementioned wind resistance detection module. Q_meas = Q × √(ΔP_rated / ΔP_measured); Where Q is the rated air volume of this model of dehumidifier; ΔP_rated is the standard differential pressure of this model of dehumidifier when it is a new machine, which is retrieved from the data storage unit. W2 = ρ × Q_meas × (d1 - d2); ρ is the air density, with a default value of 1.2 kg / m³. 3 ; d2 is the humidity content of the outlet air, which can be directly retrieved from the data storage unit. The unit of W is kg / h (or g / s).

[0013] Furthermore, the performance achievement rate η is calculated based on W1 and W2; η = (W2 / W1) * 100%; Calculate the measured temperature difference ΔT_actual on the regeneration side based on T2 and T3; ΔT_actual = T3 - T2; Based on the equipment's rated regeneration power P_heater and regeneration air volume Q_regen, calculate the theoretical maximum temperature rise of the equipment under the condition that the rotor is completely dry and there is no desorption load: ΔT_max≈P_heater / (ρ*Cp*Q_regen); Where ρ is the air density, defaulting to 1.2 kg / m³. 3 ; Cp is the specific heat capacity; Calculate the regeneration and compounding coefficient K based on the above data; K = ΔT_actual / ΔT_max.

[0014] Furthermore, the judgment logic in step S4 is as follows: If η ≥ 85% and K ≤ 0.7, then the state is determined to be healthy; If η < 70% and K > 0.85, the adsorption material is considered to be severely aged / ineffective. If η < 70%, K does not exceed the standard, but ΔP ≥ 1.5ΔP_high, then it is determined that the rotor is severely contaminated and blocked; If the above indicators are not present, it is determined to be a slight performance degradation.

[0015] Compared with the prior art, the beneficial effects of the present invention are: This invention calculates data such as performance achievement rate, regeneration composite coefficient, and pressure difference using parameters obtained from the detection device. The performance achievement rate and regeneration composite coefficient can be used to determine whether the current dehumidification performance of the impeller is healthy. Combined with the pressure difference, it can be used to determine whether the current impeller is blocked or aging, so as to provide different maintenance solutions. The detection accuracy is high and the cost is low. Attached Figure Description

[0016] Figure 1 This is a schematic diagram of the frame structure of the device for detecting the lifespan of the impeller according to the present invention; Figure 2 This is a schematic diagram of the frame structure of the signal acquisition unit of the present invention; Figure 3This is a schematic diagram of the framework structure of the device for detecting the lifespan of a rotor according to the present invention; Figure 4 This is a schematic diagram of the detection site structure of the dehumidifier in this invention.

[0017] The attached diagram lists the components represented by each number as follows: 100. Signal acquisition unit; 101. Multi-parameter detection probe; 102. Wind resistance detection module; 200. Data processing unit; 300. Interactive output unit. Detailed Implementation

[0018] To make the objectives and advantages of this invention clearer, the invention will be specifically described below with reference to embodiments. It should be understood that the following text is merely used to describe one or more specific embodiments of the invention and does not strictly limit the scope of protection specifically claimed by the invention.

[0019] like Figure 1 As shown, a device for detecting the lifespan of a dehumidifier rotor and its usage method include a signal acquisition unit 100, a data processing unit 200, and an interactive output unit 300. The signal acquisition unit 100 and the data processing unit 200 are connected by a signal. The signal acquisition unit 100 acquires multi-dimensional physical parameters of the dehumidifier rotor, such as humidity, temperature, and pressure difference. The data processing unit 200 also includes a data storage unit and a physical model algorithm. When the multi-dimensional physical parameters acquired by the signal acquisition unit 100 are input into the data processing unit 200, the data storage unit retrieves the rated parameters and calculates characteristic indicators by combining them with the multi-dimensional physical parameters acquired by the signal acquisition unit 100. The aforementioned feature indicators and other parameters are output to the interactive output unit 300 for display. The interactive output unit 300 is also used to implement parameter input.

[0020] Furthermore, the signal acquisition unit 100 includes a multi-parameter detection probe 101 for measuring temperature and humidity and a wind resistance detection module 102 for measuring pressure difference.

[0021] Furthermore, the data storage unit stores parameter data for various dehumidifier models for retrieval.

[0022] like Figure 2-3 As shown, a method of using a device for detecting the lifespan of a rotor includes the following steps: S1: Connect the signal acquisition unit 100 to the dehumidifier detection point and input the model of the device under test through the interactive output unit 300 to automatically obtain the factory rated parameters of the dehumidifier. S2: The signal acquisition unit 100 synchronously acquires real-time data from the dehumidifier detection points, and transmits it to the data processing unit 200 after filtering and analog-to-digital conversion; S3: The data processing unit 200 calculates the performance achievement rate η and the regeneration composite coefficient K based on a preset physical calculation model; S4: The data processing unit 200 compares the calculated computing performance achievement rate η and the regeneration composite coefficient K with the threshold preset in the data storage unit and executes the judgment logic; S5: Display the conclusions obtained according to the judgment logic and the key data output on the interactive output unit 300.

[0023] Furthermore, such as Figure 3 As shown, the dehumidifier detection points in step S1 are the regeneration air inlet duct, the regeneration air outlet duct, and the rotor. The multi-parameter detection probe 101 and the wind resistance detection module 102 detect the real-time data of temperature T1, humidity RH1, and pressure difference ΔP at the rotor, the real-time data of temperature T2 at the outlet of the regeneration air inlet duct, and the real-time data of temperature T3 at the outlet of the regeneration air outlet duct. In addition, the dehumidifier model is input into the interactive output unit 300, and the factory rated parameters of the dehumidifier in step S1, including rated air volume Q, design dehumidification capacity W1, rated regeneration power P_heater, and regeneration air volume Q_regen, are retrieved from the data storage unit. The above parameters are calculated in the data processing unit 200 to obtain the corresponding characteristic indicators.

[0024] Furthermore, in step S3, the physical calculation model calculates the current measured dehumidification capacity W2 based on T1 and RH1, and the calculation step is to calculate the moisture content of the incoming air d1. d1=0.622×[(RH1÷100)×P_s(T1)] / [P_atm-(RH1÷100)×P_s(T1)]; Wherein, P_s(T1) is the saturated vapor pressure corresponding to T1. P_s(T1) can be directly retrieved from the database of the data storage unit. For example, when T1=25℃, P_s≈3.17kPa. The detection device has a built-in database of P_s corresponding to all temperatures, which can be directly retrieved. P_atm is the local atmospheric pressure; Q_meas was measured using the wind resistance detection module 102. The rated air volume of this model of dehumidifier is Q in the database of the data storage unit. Combined with the measured pressure difference ΔP correction (because the air volume will decrease when the impeller is blocked), we can conclude that Q_meas = Q × √(ΔP rated / ΔP measured). Among them, ΔP rated is the standard differential pressure of a new dehumidifier of this model, which can be directly retrieved from the database. The measured dehumidification capacity W2 can be calculated from the above data as W2 = ρ × Q_meas × (d1 - d2); Where ρ is the air density, which is 1.2 kg / m³ by default. 3 ; d2 is the moisture content of the outlet air, which can be directly retrieved from the data storage unit; Unit: W is measured in kg / h (or g / s) and is used to reflect the current dehumidification capacity of the dehumidifier.

[0025] The measured dehumidification capacity W2 and the designed dehumidification capacity W1 are used to calculate the first characteristic index, namely the performance achievement rate η. η = (W2 / W1) * 100%; This characteristic index is used to reflect how much of the current rotor's capability the new rotor can achieve. For example, if η=80%, it means that the current rotor can still achieve 80% of the performance of the new rotor, which can intuitively output how much the rotor's performance has degraded.

[0026] Furthermore, the measured temperature difference ΔT_actual on the regeneration side is calculated based on T2 and T3; ΔT_actual = T3 - T2; This temperature difference reflects the degree to which heat is absorbed by the moisture in the rotor.

[0027] Based on the rated regeneration power P_heater and regeneration air volume Q_regen retrieved from the data storage unit, calculate the theoretical maximum temperature rise ΔT_max of the equipment under the condition that the rotor is completely dry and there is no desorption load. ΔT_max≈P_heater / (ρ*Cp*Q_regen); Where ρ is the air density, which is assumed to be 1.2 kg / m³. 3 ; Cp is the specific heat capacity; Calculate the regeneration and compounding coefficient K based on the above data; K = ΔT_actual / ΔT_max.

[0028] The physical meaning of this coefficient is as follows: when the impeller fails and does not absorb water, ΔT_actual approaches ΔT_max, and K approaches 1; when the impeller is healthy and absorbs a lot of water, ΔT_actual is much smaller than ΔT_max, and K is much smaller than 1.

[0029] Furthermore, the results obtained according to the judgment logic in execution step S4 are shown in the table below; Except for the above situations, all other situations are judged as "slight performance degradation" and observation is recommended.

[0030] To further explain the meaning of the above characteristic indicators, the measured dehumidification capacity W2 directly reflects the current dehumidification capacity of the rotor. The lower the W value, the worse the actual water absorption effect of the rotor. It is the basic data used to evaluate the current performance degradation of the rotor. Then, the dehumidification capacity is converted into the performance achievement rate η, and then the regeneration composite coefficient K and pressure difference ΔP are combined. When the K value is high (close to 1), it indicates that the rotor absorbs less water, which corresponds to the aging of the adsorption material. If the K value is normal but ΔP is high (more than 1.5 times the initial value ΔP_high), it indicates that the air duct resistance is high, which corresponds to the impeller being contaminated and blocked. The two correspond to different maintenance solutions: replacing the impeller and cleaning the impeller.

[0031] The above are merely preferred embodiments of the present invention. It should be noted that those skilled in the art can make various improvements and modifications without departing from the principles of the present invention, and these improvements and modifications should also be considered within the scope of protection of the present invention. Structures, devices, and operating methods not specifically described or explained in this invention are implemented according to conventional methods in the art unless otherwise specified or limited.

Claims

1. A device for detecting the lifespan of a rotor, characterized in that: It includes a signal acquisition unit, a data processing unit, and an interactive output unit; The signal acquisition unit is connected to the data processing unit and is used to acquire multi-dimensional physical parameters of the dehumidifier rotor operation. The data processing unit has a built-in data storage unit and physical model algorithm, which are used to retrieve the rated parameters and calculate the characteristic indicators. The interactive output unit is used to implement parameter input and diagnostic result output.

2. The device for detecting the lifespan of a rotor according to claim 1, characterized in that, The signal acquisition unit includes a multi-parameter detection probe and a wind resistance detection module. The multi-parameter detection probe is used to collect the temperature and humidity of the dehumidifier, and the wind resistance detection module is used to collect the pressure difference of the dehumidifier impeller.

3. The device for detecting the lifespan of a rotor according to claim 1, characterized in that, The data storage unit stores parameter data for various models of rotary dehumidifiers.

4. A method of using the device for detecting the life of a rotor according to any one of claims 1-3, characterized in that: Includes the following steps: S1: Connect the signal acquisition unit to the dehumidifier detection point and input the model of the device under test through the interactive output unit to automatically obtain the factory rated parameters of the dehumidifier. S2: The signal acquisition unit synchronously acquires real-time data from the dehumidifier's detection points, and transmits it to the data processing unit after filtering and analog-to-digital conversion; S3: The data processing unit calculates the performance achievement rate η and the regeneration composite coefficient K based on a preset physical model algorithm; S4: The data processing unit compares the calculated computing performance achievement rate η and the regeneration composite coefficient K with the threshold preset in the data storage unit and executes the judgment logic; S5: Display the conclusions obtained according to the judgment logic and the key data output on the interactive output unit.

5. The method of using the device for detecting the life of a rotor according to claim 4, characterized in that, The dehumidifier detection points in S1 are the regeneration air inlet duct, the regeneration air outlet duct, and the rotor. The multi-parameter detection probe and the air resistance detection module detect real-time data of temperature T1, humidity RH1, and pressure difference ΔP at the rotor, real-time data of temperature T2 at the outlet of the regeneration air inlet duct, and real-time data of temperature T3 at the outlet of the regeneration air outlet duct.

6. The method of using the device for detecting the life of a rotor according to claim 5, characterized in that, The factory-rated parameters in step S1 include rated air volume Q, designed dehumidification capacity W1, rated regeneration power P_heater, and regeneration air volume Q_regen.

7. The method of using the device for detecting the life of a rotor according to claim 6, characterized in that, The physical calculation model in step S3 calculates the current measured dehumidification capacity W2 based on T1 and RH1. The calculation step is to calculate the moisture content of the incoming air d1. d1=0.622×[(RH1÷100)×P_s(T1)] / [P_atm-(RH1÷100)×P_s(T1)]; Wherein, P_s(T1) is the saturated vapor pressure corresponding to T1, and P_s(T1) can be directly retrieved from the database of the data storage unit; P_atm is the local atmospheric pressure; Then, the actual processing air volume Q_meas was measured using the aforementioned wind resistance detection module. Q_meas = Q × √(ΔP_rated / ΔP_measured); Among them, ΔP rated is the standard differential pressure of a new dehumidifier of this model, which is retrieved from the data storage unit; Therefore, the measured dehumidification capacity W2 can be obtained as ρ × Q_meas × (d1 - d2); Where ρ is the air density, which is 1.2 kg / m³ by default. 3 ; d2 is the humidity content of the outlet air, which can be directly retrieved from the data storage unit; Unit: The unit of W is kg / h (or g / s).

8. The method of using the device for detecting the life of a rotor according to claim 7, characterized in that, Calculate the performance achievement rate η based on W1 and W2; η = (W2 / W1) * 100%; Calculate the measured temperature difference ΔT_actual on the regeneration side based on T2 and T3; ΔT_actual = T3 - T2; Based on the equipment's rated regeneration power P_heater and regeneration air volume Q_regen, calculate the theoretical maximum temperature rise ΔT_max of the equipment under the condition that the rotor is completely dry and there is no desorption load; ΔT_max≈P_heater / (ρ*Cp*Q_regen); Where ρ is the air density, defaulting to 1.2 kg / m³. 3 ; Cp is the specific heat capacity; Calculate the regeneration and compounding coefficient K based on the above data; K = ΔT_actual / ΔT_max.

9. The method of using the device for detecting the life of a rotor according to claim 6, characterized in that, The judgment logic in step S4 is as follows: If η ≥ 85% and K ≤ 0.7, then the state is determined to be healthy; If η < 70% and K > 0.85, the adsorption material is considered to be severely aged / ineffective. If η < 70%, K does not exceed the standard, but ΔP ≥ 1.5ΔP_high, then it is determined that the rotor is severely contaminated and blocked; If the above indicators are not present, it is determined to be a slight performance degradation.

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