Faucet assembly line and assembly calibration method thereof

Abstract

The application is suitable for the technical field of valve assembly, and particularly relates to a faucet assembly line and an assembly calibration method thereof, which comprises the following steps: obtaining multiple assembly deviation types of a thermostatic valve core; obtaining deviation curves corresponding to the multiple assembly deviation types according to at least one calibration adjustment data of each assembly deviation type in the multiple assembly deviation types; obtaining first calibration information corresponding to the multiple assembly deviation types according to the deviation curves corresponding to the multiple assembly deviation types and preset deviation values corresponding to the multiple assembly deviation types; and obtaining second calibration information of the thermostatic valve core according to the first calibration information corresponding to the multiple assembly deviation types. The method can solve the problem that a single type of deviation is independently adjusted, the adjustment range cannot be scientifically and comprehensively judged, and insufficient or excessive calibration is caused, so that the produced faucet cannot meet the use requirements.

Description

Technical Field

[0001] This application belongs to the field of valve assembly technology, and in particular relates to a faucet assembly line and its assembly calibration method. Background Technology

[0002] A faucet is a household water supply and drainage device that delivers water. The thermostatic valve core of a faucet is the core component used to maintain a constant water temperature. It is usually used in faucets with thermostatic functions. It senses the water temperature and automatically adjusts the ratio of hot and cold water to maintain the set temperature even when the water supply fluctuates.

[0003] During the production and assembly of thermostatic valve cores for faucets, various assembly deviations can easily occur due to factors such as component processing errors and fluctuations in assembly processes. These deviations include misalignment of the valve core seals, misalignment of the temperature sensing components' installation angle, and misalignment of the adjusting spring's preload. If these deviations are not effectively calibrated, they can lead to problems such as large fluctuations in the outlet water temperature, malfunction of hot and cold water regulation, and even leakage, severely impacting user experience and product reliability.

[0004] However, most current assembly and calibration methods for thermostatic valve cores in faucets are designed to adjust a single type of deviation independently, which cannot scientifically and comprehensively determine the adjustment range. This can easily lead to insufficient calibration (excessive water temperature fluctuations) or over-calibration, resulting in faucets that fail to meet usage requirements. Summary of the Invention

[0005] This application provides a faucet assembly line and its assembly calibration method, which can solve the problem that traditional faucet thermostatic valve core assembly calibration methods mostly adjust independently for a single type of deviation, which cannot scientifically and comprehensively judge the adjustment range, and are prone to under-calibration or over-calibration, resulting in faucets that cannot meet the usage requirements.

[0006] In a first aspect, embodiments of this application provide a method for assembling and calibrating a thermostatic valve core for a faucet, including:

[0007] Multiple assembly deviation types of the thermostatic valve core are obtained; wherein, each of the multiple assembly deviation types includes at least one calibration adjustment data, and the at least one calibration adjustment data is used to adjust the assembly accuracy of the thermostatic valve core.

[0008] Based on at least one calibration adjustment data for each of the plurality of assembly deviation types, a deviation curve corresponding to the plurality of assembly deviation types is obtained; wherein, the deviation curve is used to describe the mathematical relationship between the at least one calibration adjustment data and the actual valve core performance index under an assembly deviation type;

[0009] According to the deviation curve corresponding to the plurality of assembly deviation types and a preset deviation value corresponding to the plurality of assembly deviation types, first calibration information corresponding to the plurality of assembly deviation types is obtained; wherein the deviation value is used to indicate a value of a performance state of the thermostatic valve core under a corresponding assembly deviation type, and the first calibration information is used to adjust the at least one calibration adjustment data of the corresponding assembly deviation type;

[0010] According to the first calibration information corresponding to the plurality of assembly deviation types, second calibration information of the thermostatic valve core is obtained; wherein the second calibration information is used to optimize the at least one calibration adjustment data set by all the first calibration information, so as to improve the assembly precision of the thermostatic valve core.

[0011] The technical solutions described above in the embodiments of the present application have at least the following technical effects:

[0012] The water faucet thermostatic valve core assembly calibration method provided in the present application considers a plurality of assembly deviation types of the thermostatic valve core, and obtains first calibration information corresponding to each assembly deviation type according to a deviation curve and a deviation value of each assembly deviation type, and obtains second calibration information of the thermostatic valve core according to the first calibration information corresponding to the plurality of assembly deviation types, so as to reasonably set the calibration adjustment data. The method of the present application comprehensively covers various types of deviation types that affect the assembly precision, realizes the upgrade from single-type deviation adjustment to multi-type collaborative calibration, avoids the limitation that a single-type deviation adjustment leads to the produced water faucet being unable to meet the use requirements, and helps to scientifically and comprehensively judge the adjustment range, so that the produced water faucet can meet the use requirements.

[0013] In a second aspect, the embodiments of the present application provide a water faucet thermostatic valve core assembly calibration system applied to a water faucet assembly line and used to implement the water faucet thermostatic valve core assembly calibration method of any one of the first aspect, and the water faucet thermostatic valve core assembly calibration system comprises:

[0014] An acquisition unit is configured to acquire a plurality of assembly deviation types of a thermostatic valve core; wherein each assembly deviation type in the plurality of assembly deviation types comprises at least one calibration adjustment data, the at least one calibration adjustment data is used to adjust the assembly precision of the thermostatic valve core, and each assembly deviation type in the plurality of assembly deviation types is used to reflect a specific error type formed in an assembly process due to a deviation of a relative position, a fitting state or physical data of a part from a design standard;

[0015] The generating unit is configured to obtain a deviation curve corresponding to each of the plurality of assembly deviation types according to the at least one calibration adjustment data of each of the plurality of assembly deviation types; the deviation curve is used to describe a mathematical relationship between the at least one calibration adjustment data and an actual valve core performance index under one assembly deviation type.

[0016] The calculating unit is configured to obtain first calibration information corresponding to the plurality of assembly deviation types according to the deviation curves corresponding to the plurality of assembly deviation types and preset deviation values corresponding to the plurality of assembly deviation types; the deviation value is used to indicate a value of a performance state of the thermostatic valve core under a corresponding assembly deviation type, and the first calibration information is used to adjust the at least one calibration adjustment data of the corresponding assembly deviation type.

[0017] The integrating unit is configured to obtain second calibration information of the thermostatic valve core according to the first calibration information corresponding to the plurality of assembly deviation types; the second calibration information is used to optimize the at least one calibration adjustment data set by all the first calibration information, so as to improve assembly precision of the thermostatic valve core.

[0018] In a third aspect, an embodiment of the present application provides a faucet assembly line, including a memory, a processor, and a computer program stored in the memory and executable on the processor, and the processor implements the faucet thermostatic valve core assembly calibration method in any one of the first aspect.

[0019] It can be understood that the beneficial effects of the second aspect to the third aspect can be referred to the related description in the first aspect, and will not be repeated here. BRIEF DESCRIPTION OF DRAWINGS

[0020] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the following will briefly introduce the drawings needed to be used in the embodiments or prior art description. Obviously, the drawings in the following description are only some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative labor.

[0021] Figure 1 is a flowchart of the faucet thermostatic valve core assembly calibration method provided by an embodiment of the present application;

[0022] Figure 2 is a structural schematic diagram of the faucet assembly line provided by an embodiment of the present application;

[0023] Figure 3 is a calibration schematic diagram in the faucet thermostatic valve core assembly calibration method provided by an embodiment of the present application;

[0024] Figure 4 is a structural schematic diagram of a faucet thermostatic valve core assembly calibration system provided by an embodiment of the present application;

[0025] Figure 5 is a structural schematic diagram of a faucet assembly line provided by an embodiment of the present application. DETAILED DESCRIPTION

[0026] In the following description, for the purposes of explanation and not limitation, specific details are set forth such as particular architectures, techniques, etc. in order to provide a thorough understanding of the embodiments of the application. However, it will be apparent to those skilled in the art that the application can be practiced in other embodiments that depart from these specific details. In other instances, detailed descriptions of well-known methods, devices, circuits, and

[0027] It should be understood that the term “includes” when used in the specification and the appended claims herein, specifies the presence of stated features, integers, steps, operations, elements, and / or components but does not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and / or groups thereof.

[0028] It should also be understood that the term “and / or” when used in the specification and the appended claims herein, means any one or more of the associated listed items or a combination thereof.

[0029] As used in the description of the application and the appended claims herein, the term “if’ can be interpreted as meaning “when” or “upon” or “in response to a determination” or “in response to a detection” depending on the context. Similarly, the phrase “if determined” or “if detected” can be interpreted as meaning “upon a determination” or “in response to a determination” or “upon a detection” or “in response to a detection” depending on the context.

[0030] In addition, in the description of the application and the appended claims herein, the terms “first”, “second”, “third”, etc. are used only to distinguish descriptions, and cannot be understood as indicating or implying relative importance.

[0031] Reference within the specification of this application to "one embodiment" or "some embodiments" means that a particular feature, structure, or characteristic described in connection with the embodiment is included in at least one embodiment. The appearances of the phrase "in one embodiment" or "in some embodiments" in various places within specifications are not necessarily all referring to the same embodiment, however, are meant to signify that "one or more, but not all embodiments" have the feature, structure or characteristic being described. The terms "including," "comprising," "carrying," "having," "containing," and variations thereof are meant to encompass the item listed thereafter, but do not exclude additional, unrecited items. The terms "a" or "an," as used herein, mean "one or more" unless otherwise indicated.

[0032] In the related art, a faucet is a kind of household water supply and drainage device for sending out water. The faucet thermostatic valve core is a core component for realizing constant water temperature, and is usually applied to a faucet with a constant temperature function. It can maintain the set temperature when the water supply fluctuates by sensing the water temperature and automatically adjusting the proportion of cold and hot water.

[0033] In the production and assembly process of the faucet thermostatic valve core, various assembly deviations are easily generated due to factors such as part machining errors and assembly process fluctuations, such as valve core sealing part alignment deviation, temperature sensing assembly installation angle deviation, and adjusting spring pre-tightening force deviation. If these deviations cannot be effectively calibrated, the thermostatic valve core will have problems such as large water temperature fluctuation, cold and hot adjustment failure, and even water leakage, which seriously affects user experience and product reliability.

[0034] However, the current assembly and calibration method for the faucet thermostatic valve core mostly adjusts a single type of deviation independently, cannot scientifically and comprehensively determine the adjustment range, and is prone to insufficient calibration (water temperature fluctuation exceeds the standard) or excessive calibration, resulting in the produced faucet failing to meet the use requirements.

[0035] For example, the current assembly and calibration method for the faucet thermostatic valve core relies on manual adjustment of a single data, such as adjusting only the tightness of the valve core sealing part, and calibrating by adjusting the tightness of the valve core sealing part. However, in the assembly process of the thermostatic valve core, there are often multiple types of assembly deviation problems: such as the offset of the valve core sealing ring and the valve cavity, the alignment deviation of the cold and hot water inlet channels and the valve core, the excessive gap between the adjusting rod and the valve core shaft during assembly, and the loose fixing of the temperature sensing element, etc. Adjusting only the tightness of the valve core sealing part cannot scientifically and comprehensively determine the adjustment range, is prone to insufficient calibration (water temperature fluctuation exceeds the standard) or excessive calibration, and results in the produced faucet failing to meet the use requirements.

[0036] To solve the above problems, the embodiments of the present application provide a faucet assembly line and an assembly and calibration method thereof.

[0037] In the method, multiple assembly deviation types of the thermostatic valve core are considered, and the first calibration information corresponding to each assembly deviation type is obtained according to the deviation curve and the deviation value of each assembly deviation type, and the second calibration information of the thermostatic valve core is obtained according to the first calibration information corresponding to the multiple assembly deviation types, so as to reasonably set the calibration adjustment data. The method provided in the application comprehensively covers various types of deviations that affect assembly accuracy, realizes the upgrade from single-type deviation adjustment to multi-type collaborative calibration, avoids the limitation that the single-type deviation adjustment leads to the produced faucet being unable to meet the use requirements, and helps to scientifically and comprehensively judge the adjustment range, so that the produced faucet can meet the use requirements.

[0038] The faucet thermostatic valve core assembly calibration method provided in the embodiments of the application can be applied to a faucet assembly line, and at this time, the faucet assembly line is the execution subject of the faucet thermostatic valve core assembly calibration method provided in the embodiments of the application, and the specific type of the faucet assembly line is not limited in the embodiments of the application.

[0039] For example, the faucet assembly line (such as Figure 2 ) can include a material conveying device (such as a conveyor belt, used to convey parts to be assembled, such as a valve body, a valve core, a sealing ring, a handle, and a semi-finished product), an assembly device (such as an automatic mechanical arm, a clamp, etc., used to complete the installation of the valve core and the valve body), a packaging device (such as a packaging machine, used to clean, cover a protective film, and pack the qualified finished product into a packaging box), and a control device, wherein the control device is electrically connected with the material conveying device, the assembly device, and the packaging device. The control device can control the material conveying device to convey the parts to be assembled. Then, the control device sets the torque data of the valve core fixing bolt or corrects the valve core installation position or the sealing element compression amount according to the second calibration information, so as to control the assembly device to complete the installation of the valve core and the valve body by using the parts to be assembled conveyed by the material conveying device. Finally, the control device can control the packaging device to clean, cover a protective film, and pack the installed parts into a packaging box, so as to obtain a faucet finished product.

[0040] For example, the control device can be a single-chip microcomputer, a mobile phone, a tablet computer, a notebook computer, an ultra-mobile personal computer (UMPC), a netbook, a desktop computer, a computing device, or a computer connected to a wireless modem, a laptop computer, a handheld communication device, a handheld computing device, etc.

[0041] In order to better understand the faucet thermostatic valve core assembly calibration method provided in the embodiments of the application, the specific implementation process of the faucet thermostatic valve core assembly calibration method provided in the embodiments of the application is exemplarily introduced as follows.

[0042] Figure 1A schematic flow chart of the faucet thermostatic valve core assembly calibration method provided by the embodiments of the present application is shown, and the faucet thermostatic valve core assembly calibration method comprises:

[0043] S100, a plurality of assembly deviation types of the thermostatic valve core are obtained. Each assembly deviation type in the plurality of assembly deviation types comprises at least one calibration adjustment data, and the at least one calibration adjustment data is used to adjust the assembly accuracy of the thermostatic valve core. Each assembly deviation type in the plurality of assembly deviation types is used to reflect a specific error type formed in the assembly process due to the deviation of the relative position, fitting state or physical data of the parts from the design standard.

[0044] It can be understood that the assembly deviation type of the thermostatic valve core is used to reflect a specific error type formed in the assembly process due to the deviation of the relative position, fitting state or physical data of the parts from the design standard. Each assembly deviation type is associated with at least one calibration adjustment data. The calibration adjustment data is used to reflect the physical quantity that can be used for fine adjustment in the assembly or debugging stage to compensate for the corresponding assembly deviation type, which is designed on the valve core structure or assembly tooling.

[0045] For example, in a production scene, 3-5 types of assembly deviation types can be determined in combination with the structural characteristics (such as composed of valve shell, core body, sealing element, cold and hot water inlet interface, valve stem, etc.) of the thermostatic valve core and the past assembly failure data. For each assembly deviation type, the data reserved in the valve core design or assembly process which can be used to compensate for the deviation is further identified as the calibration adjustment data corresponding to the assembly deviation type. For example, the circumferential misalignment deviation of the valve core sealing element is manifested as the misalignment of the sealing element and the water inlet hole sealing surface of the valve shell, which causes unstable cold and hot water mixing ratio and low temperature end water leakage. The corresponding calibration adjustment data can be the circumferential positioning angle of the sealing element. For another example, the coaxiality deviation of the cold and hot water inlet hole is manifested as the deviation of the water inlet hole axis and the water flow passage axis of the core body, which causes the increase of water flow resistance and the abnormal sound during the operation of the valve core. The corresponding calibration adjustment data can be the radial fine adjustment amount of the water inlet hole. For another example, the excessive gap between the valve stem and the valve core body is manifested as the jamming or looseness of the valve stem rotation, which causes the decrease of the water temperature regulation accuracy (such as the actual fluctuation of 38℃ above ±2℃). The corresponding calibration adjustment data can be the gap between the valve stem and the core body.

[0046] S200, a plurality of deviation curves corresponding to the plurality of assembly deviation types are obtained according to the at least one calibration adjustment data of each assembly deviation type in the plurality of assembly deviation types. The deviation curve is used to describe the mathematical relationship between the at least one calibration adjustment data and the actual valve core performance index under one assembly deviation type.

[0047] It can be understood that the deviation curve is used to describe a mathematical relationship model between the at least one calibration adjustment data and the actual valve core performance index under one of the plurality of assembly deviation types. The deviation curve is used to quantify the correction effect of the calibration adjustment data adjustment on the deviation.

[0048] For example, for a certain assembly deviation type, the calibration adjustment data thereof is systematically changed while other conditions are kept unchanged, and a certain key performance index of the valve core after each change (such as the water temperature difference from cold water to the set temperature, that is, the overshoot) is measured. By collecting a plurality of sets of sample data of “calibration adjustment data value-performance index value”, a curve fitting is performed by using a regression analysis algorithm (such as linear regression, polynomial regression), so as to establish a deviation curve with the calibration adjustment data as the independent variable and the performance deviation index as the dependent variable.

[0049] For example, 50 valves of the same batch are selected, other process data (such as an ambient temperature of 25°C and an assembly torque of 5 N.m) are fixed, a plurality of sets of variable settings are performed on the radial fine adjustment amount of the water inlet hole (denoted as x1) and the leveling amount of the installation reference surface of the valve core (denoted as x2), and the actual coaxiality deviation amount (denoted as y, unit: mm) is detected by a three-coordinate measuring instrument for each set of settings. A total of 100 sets of effective data are collected (for example, when x1=0.1 mm and x2=0.05 mm, y=0.18 mm; when x1=0.2 mm and x2=0.08 mm, y=0.12 mm). Linear regression analysis is performed on the collected data by using the least square method, and a deviation curve is fitted. It is calculated that the deviation curve under this type is y=0.8x1+0.5x2+0.1, wherein the fitting goodness R² of y is greater than or equal to 0.92 (indicating that the curve can explain more than 92% of the deviation change), the coefficient 0.8 of x1 indicates that when x2 is unchanged, y is averagely reduced by 0.08 mm for each increase of 0.1 mm of x1, and the coefficient 0.5 of x2 indicates that when x1 is unchanged, y is averagely reduced by 0.025 mm for each increase of 0.05 mm of x2. Three sets of data combinations (such as x1=0.15 mm and x2=0.06 mm) that are not involved in the fitting are selected, and the theoretical deviation amount y_ideal=0.8x0.15+0.5x0.06+0.1=0.25 mm is calculated by substituting the deviation curve, the actual detected deviation amount y_actual=0.26 mm, and the error is less than or equal to 4%, verifying the effectiveness of the curve. It should be noted that the deviation curves corresponding to each assembly deviation type are different.

[0050] In one possible implementation, S200, a plurality of deviation curves corresponding to a plurality of assembly deviation types are obtained according to at least one calibration adjustment data of each assembly deviation type in the plurality of assembly deviation types, comprising:

[0051] S210, determining the deviation evaluation index and at least one deviation influence data for one of the plurality of assembly deviation types. The deviation evaluation index is used to indicate the assembly deviation degree of the thermostatic valve core, and the at least one deviation influence data is used to indicate the reason for the assembly deviation.

[0052] It can be understood that the deviation evaluation index is used to quantify the measurable and comparable specific data of the performance of the thermostatic valve core under one of the plurality of assembly deviation types, and the value directly reflects the severity of the deviation. The deviation influence data is the root variable that causes the assembly deviation type.

[0053] For example, for the assembly deviation type of the valve core sealing element circumferential misalignment deviation, the deviation evaluation index can be the maximum gap value of the sealing surface, and the deviation influence data can be the radial tolerance of the sealing element itself. For the assembly deviation type of the installation angle deviation of the temperature sensing element, the deviation evaluation index can be the temperature response delay time, and the deviation influence data can be the deviation of the centering of the temperature sensing element and the water flow channel and the elastic deformation of the fixed buckle. The deviation evaluation index can be directly measured by a detection tool (such as measuring the response time with a temperature recorder and measuring the reset accuracy with a three-coordinate measuring machine), and the deviation influence data can be obtained by process tracing (such as checking the part tolerance table and recording the tooling data).

[0054] S220, performing quantitative analysis according to the deviation evaluation index, the at least one deviation influence data and the at least one calibration adjustment data to obtain a deviation curve corresponding to one of the plurality of assembly deviation types.

[0055] It can be understood that the quantitative analysis is used to quantify the final performance of the deviation influenced by the deviation influence data and the calibration adjustment data.

[0056] For example, a four-reason three-level orthogonal experiment can be designed according to the deviation evaluation index, the at least one deviation influence data and the at least one calibration adjustment data (such as Table 1, wherein the deviation of the centering of the temperature sensing element and the water flow channel a and the elastic deformation of the fixed buckle b are the deviation influence data, the angle adjustment amount θ of the temperature sensing element and the tightness F of the fixed support are the calibration adjustment data, and the temperature response delay time t is the deviation evaluation index), and the experimental data is fitted into a deviation curve through multiple linear regression analysis. Three groups of data combinations not participating in fitting are selected, and the theoretical deviation amount is calculated by substituting the deviation curve, and compared with the actual detected deviation amount, and the error is ≤4%, verifying the effectiveness of the curve.

[0057]

[0058] In a possible implementation, S220, quantitative analysis is performed according to the deviation evaluation index, the at least one deviation influence data and the at least one calibration adjustment data, to obtain a deviation curve corresponding to one of the plurality of assembly deviation types.

[0059] S221, obtaining a plurality of first data of the thermostatic valve core under one of the plurality of assembly deviation types. The plurality of first data is used to indicate values of the deviation evaluation index of the thermostatic valve core under a plurality of assembly states.

[0060] It can be understood that the first data can be obtained by adjusting the process data, replacing the part batch, changing the environmental conditions and other ways to construct different production scenarios (such as assembly conditions under different temperatures and different tooling data), and measuring the performance of the thermostatic valve core under a plurality of controllable and known assembly states to obtain the values of the deviation evaluation index.

[0061] For example, taking the temperature sensing element installation angle deviation type as an example, different assembly scenarios can be constructed by adjusting the key variables (such as the temperature sensing element angle θ, the buckle tightness F, etc.) under this type. For each assembly state, a thermostatic water flow test bench is used, and the temperature sensor is used to record the time interval from the water temperature mutation to the start of the valve core adjustment. Each state is measured 3 times, and the average value is taken as the first data under the state.

[0062] S222, obtaining a plurality of second data corresponding to each of the at least one deviation influence data. The plurality of second data is used to indicate values of the deviation influence data of the thermostatic valve core under a plurality of assembly states.

[0063] It can be understood that the second data is from the same assembly state as the first data, and the measured values of the deviation influence data (such as the measured value of the sealing element tolerance). That is, each first data corresponds to a unique a and b (deviation influence data) under the same state.

[0064] For example, taking the temperature sensing element installation angle deviation type as an example, the values of the centering deviation a of the temperature sensing element and the elastic deformation b of the fixed buckle are measured synchronously under each state, so that each first data corresponds to a unique a and b (deviation influence data). For example, the radial distance between the center of the temperature sensing element and the center of the water flow channel can be measured using a laser displacement sensor, and the average value is taken by measuring 3 times for each state. For the elastic deformation b of the buckle, a dial gauge (accuracy ±0.001 mm) can be used to measure the maximum deformation value of the buckle after assembly, and the average value is taken by measuring 2 times for each state.

[0065] S223, obtain a deviation curve corresponding to one of the plurality of assembly deviation types according to the plurality of first data, the plurality of second data corresponding to each of the at least one bias influence data, and the at least one calibration adjustment data.

[0066] It can be understood that the previously obtained data is standardized (such as converting a, b, θ, F into standardized values in the 0-1 interval), eliminating the influence of dimensional differences on modeling, and eliminating abnormal values (such as t=5.0s caused by measurement error, which is too large from other sample deviations and needs to be re-measured or discarded). A multiple linear regression model is used for fitting, assuming a curve form: t=k1a+k2b+k3θ+k4F+c (where k1, k2, k3, k4 are coefficients, and c is a constant term). The previously obtained data (the values of a, b, θ, F and the corresponding t values) are substituted into the model, and the coefficients are solved by least squares method to obtain the deviation curve. Five new assembly states are additionally selected, substituted into the above curve to calculate the predicted value of t, and compared with the actual measured value. If the average error is ≤0.1s (relative error ≤5%), the curve is considered valid; otherwise, the sample size needs to be increased or a nonlinear model (such as polynomial regression) is used to re-fit.

[0067] In this way, the original effect of bias influence data on assembly precision (such as positive coefficients of a and b, indicating that their increase will worsen t) can be reflected, and the correction effect of calibration adjustment data (such as negative coefficients of θ and F, indicating that their reasonable adjustment can improve t) can be reflected, which helps to scientifically and comprehensively judge the adjustment range.

[0068] S300, obtain first calibration information corresponding to a plurality of assembly deviation types according to the deviation curves corresponding to the plurality of assembly deviation types and the preset deviation values corresponding to the plurality of assembly deviation types. The deviation value is used to indicate the value of the performance state of the thermostatic valve core under the corresponding assembly deviation type, and the first calibration information is used to adjust at least one calibration adjustment data of the corresponding assembly deviation type.

[0069] It can be understood that the deviation value can be set based on the performance standard of the thermostatic valve core, and the deviation value is used to reflect the maximum deviation allowed under a certain assembly deviation type. If the deviation value is exceeded, the valve core cannot meet the use requirements. The first calibration information can be a specific adjustment scheme for a single assembly deviation type, which combines the deviation curve and the deviation value to determine whether to adjust, which data to adjust, and how much to adjust.

[0070] For example, taking the cold and hot water inlet hole coaxiality deviation type as an example, assuming that the current assembly data of a batch of valve cores is x1=0.05 mm, x2=0.02 mm, and substituting the deviation curve to calculate the current deviation amount y present =0.8x0.05+0.5x0.02+0.1=0.15 mm, compared with the deviation value 0.2 mm, y present < threshold value, which indicates that the deviation under the current data is not out of limit, and the first calibration information is to keep the current calibration adjustment data unchanged.

[0071] For example, for the temperature sensing element angle deviation type: if the current included angle θ=10°, substituting the deviation curve (such as ΔT=0.8θ+0.3) gives ΔT=8.3℃ (>2℃, exceeding the deviation value). Solving the inequality |0.8θ+0.3|≤2 gives θ∈[-2.875°, 2.125°] (the actual assembly θ is non-negative value, so the effective range is 0°~2.125°), and the included angle θ is adjusted from 10° to 2°, that is, the first calibration information.

[0072] S400, according to the first calibration information corresponding to the plurality of assembly deviation types, obtaining the second calibration information of the thermostatic valve core. Wherein, the second calibration information is used to optimize at least one calibration adjustment data set by all first calibration information, so as to improve the assembly precision of the thermostatic valve core.

[0073] It can be understood that, due to the possible interaction (i.e. coupling effect) between the plurality of assembly deviation types, simply calibrating each type independently to the optimal may not achieve the overall optimal, and even may produce conflict. Therefore, a global and coordinated second calibration information needs to be developed to overall optimize the setting of all calibration adjustment data, and finally realize the improvement of the overall assembly precision of the thermostatic valve core. The second calibration information can be the final calibration scheme obtained by solving the possible data setting conflict and global optimization on the basis of comprehensively considering all first calibration information. The faucet assembly can be calibrated according to the second calibration information to produce qualified faucets (such as Figure 3 ).

[0074] For example, the recommended setting range of each calibration adjustment data obtained by collecting all first calibration information is collected. Then, whether there is a mutual restrictive relationship between these data is analyzed, taking the overall performance index of the valve core as the target and taking the feasible range of each calibration adjustment data as the constraint condition, a set of second calibration information that makes the overall performance optimal is determined.

[0075] For example, in the production process, the "valve core and valve body concentricity deviation type" (current x = 0.8mm, the first calibration information requires adjustment to 0.3mm) and "spring pre-tightening force deviation type" (current F = 4N, the first calibration information requires adjustment to 6N) are detected at the same time. The data correlation can be analyzed, that is, when the concentricity is adjusted, the fine adjustment of the valve body fixing seat may cause the position of the spring seat to deviate, so that the actual value of the pre-tightening force deviates from the target (for example, it is originally planned to be adjusted to 6N, but the actual value may be 5.5N). Then the second calibration information can be used to adjust the concentricity first: adjust x from 0.8mm to 0.4mm (reserve pre-tightening force adjustment space), and recheck the concentricity to confirm stability; then increase F from 4N to 6.5N (compensate for the influence of subsequent concentricity fine adjustment), and record the axial adjustment amount of the spring seat at the same time; then fine adjust the concentricity again: adjust x from 0.4mm to 0.3mm finally, at this time the pre-tightening force decreases to 6N due to the position change (meets the target). Verification index: after adjustment, the water temperature fluctuation is ≤1.5℃, the response time is ≤3.5s, and neither of the two data has performance rebound caused by mutual interference.

[0076] In this way, various types of deviation affecting the assembly precision are comprehensively covered, the upgrade from single-type deviation adjustment to multi-type collaborative calibration is realized, the limitation that the single-type deviation adjustment causes the produced faucet to be unable to meet the use requirements is avoided, and it is helpful for scientific and comprehensive judgment of the adjustment range, so that the produced faucet can meet the use requirements.

[0077] In a possible implementation, each of the at least one calibration adjustment data carries a target value, and the target value is generated according to the design performance of the thermostatic valve core.

[0078] It can be understood that each calibration adjustment data for adjusting the assembly precision can set a reference starting value, that is, a target value. The target value is the reference point of the assembly process, and all subsequent calibration adjustments are fine-tuned or corrected with reference to the target value. The target value is not randomly set, but is determined in advance in the product design stage through theoretical calculation, simulation analysis or prototype testing based on the design performance index of the thermostatic valve core, so that the target value can make the valve core meet the design performance requirements in the ideal assembly state.

[0079] In a possible implementation, S300, according to the deviation curves corresponding to the plurality of assembly deviation types and the preset deviation values corresponding to the plurality of assembly deviation types, first calibration information corresponding to the plurality of assembly deviation types is obtained, including:

[0080] S401, for one of multiple assembly deviation types, based on the deviation curve, deviation value, and target value corresponding to at least one calibration adjustment data, a first assembly accuracy level of the thermostatic valve core is obtained. The first assembly accuracy level indicates the assembly accuracy of the thermostatic valve core when at least one calibration adjustment data is the target value.

[0081] It is understandable that the first assembly accuracy level reflects the quantitative level of assembly accuracy of the thermostatic valve core when all calibration and adjustment data use the target value. The first assembly accuracy level can be determined by calculating the actual performance index through the deviation curve and comparing it with the deviation value.

[0082] For example, let's take the installation angle deviation of the temperature sensing element as an example: Known conditions: Deviation curve: t = 0.8a + 2.5b - 0.15θ + 0.03F + 0.5 (t is the temperature response delay time, a is the centering deviation; b is the buckle deformation; θ is the angle adjustment amount; F is the bracket tightness); Deviation value: t0 = 2s (i.e., response time ≤ 2s is acceptable, > 2s is unacceptable); Target value: θ0 = 0°, F0 = 25 N.cm (at this time, the calibration adjustment data is in the design reference state). In the design reference state, assuming that the current deviation influencing factors are obtained through detection as a = 0.4mm, b = 0.1mm (i.e., the actual influencing factor values ​​in the current assembly state), substituting into the deviation curve: t = 0.8 × 0.4 + 2.5 × 0.1 - 0.15 × 0 - 0.03 × 25 + 0.5 = 0.32 + 0.25 - 0 - 0.75 + 0.5 = 0.32s. Since the calculated t=0.32s≤deviation value t0=2s, combined with the preset grade classification standard (t≤1s is "superior grade", 1-2s is "qualified grade", and >2s is "unqualified grade"), the first assembly accuracy grade of this assembly state is superior grade.

[0083] For example, taking the spring preload deviation type as an example: Deviation curve: Δs = 0.05H - 0.2Fpre + 0.3δ (Δs is the reset accuracy, mm; H is the spring hardness deviation; Fpre is the preload; δ is the spring seat flatness); Deviation value: Δs0 = 0.3mm (≤0.3mm is acceptable); Target value, H = 45HRC, δ = 0.02mm / m, substituting, we get Δs = 0.05×45 - 0.2×6 + 0.3×0.02 = 2.25 - 1.2 + 0.006 = 1.056mm; Since 1.056mm > 0.3mm, combined with the grade standard (Δs ≤ 0.1mm is "superior grade", 0.1-0.3mm is "acceptable grade", > 0.3mm is "unacceptable grade"), the first assembly accuracy grade is unacceptable grade.

[0084] S402, according to the preset second assembly precision level and the first assembly precision level of the thermostatic valve core, determine the first calibration information corresponding to the assembly deviation type. Wherein, the second assembly precision level is higher than the first assembly precision level.

[0085] It can be understood that the second assembly precision level is a target precision standard preset to be higher than the first assembly precision level (for example, when the first assembly precision level is "qualified", the second assembly precision level is "excellent"), reflecting the final precision requirement that the valve core needs to reach. The first calibration information is a specific scheme determined based on the difference between the first assembly precision level and the second assembly precision level, and is used to improve the precision from the first assembly precision level to the second assembly precision level.

[0086] For example, taking the spring pre-tightening force deviation type as an example (the first assembly precision level is "unqualified level", which needs to be improved to the second assembly precision level "qualified level"), the first assembly precision level: Δs = 1.056 mm (unqualified level, because > 0.3 mm); the second assembly precision level: target Δs ≤ 0.3 mm (qualified level); calibration adjustment data: Fpre (target value 6N, adjustable range 5-8N). Δs needs to be reduced from 1.056 mm to ≤ 0.3 mm, which needs to be reduced by at least 0.756 mm. According to the deviation curve Δs = 0.05H - 0.2Fpre + 0.3δ, H and δ are non-adjustable influencing factors (H = 45HRC, δ = 0.02 mm / m), only Fpre can be adjusted. Substituting the target Δs = 0.3 mm, the calculation formula is 0.3 = 0.05 × 45 - 0.2Fpre + 0.3 × 0.02, Fpre = 9.78N (exceeding the adjustable range 5-8N, needs to be corrected). Take the maximum adjustable value Fpre = 8N, calculate Δs: Δs = 0.05 × 45 - 0.2 × 8 + 0.3 × 0.02 = 2.25 - 1.6 + 0.006 = 0.656 mm (still > 0.3 mm, need to assist another data adjustment). Another calibration adjustment data of this type is "spring seat axial adjustment amount d" (target value 0.3 mm, adjustable range 0.2-0.6 mm), and the corrected deviation curve is Δs = 0.05H - 0.2Fpre + 0.3δ - 0.5d (d increases by 0.1 mm, Δs decreases by 0.05 mm). Set Fpre = 8N, target Δs = 0.3 mm: 0.3 = 2.25 - 1.6 + 0.006 - 0.5d → d = 0.712 mm (exceeding the range, take d = 0.6 mm). The final Δs = 2.25 - 1.6 + 0.006 - 0.5 × 0.6 = 0.656 - 0.3 = 0.356 mm (close to the qualified level, acceptable). That is, the first calibration information is to adjust the spring pre-tightening force from the target value 6N to 8N, and at the same time adjust the spring seat axial adjustment amount from 0.3 mm to 0.6 mm.

[0087] In this way, the adjustment direction and amplitude of the data are determined, and the final precision can reach the preset level, thereby realizing directional improvement of the assembly quality.

[0088] In a possible implementation, S400, the second calibration information of the thermostatic valve core is obtained according to the first calibration information corresponding to the plurality of assembly deviation types, including:

[0089] For one of the at least one calibration adjustment data, the value of the second adjustment data corresponding to the calibration adjustment data under the second calibration information is obtained according to the optimal value in the values of the target calibration adjustment data corresponding to the calibration adjustment data under the first calibration information.

[0090] It can be understood that, in the assembly calibration of the thermostatic valve core, the same calibration adjustment data can simultaneously involve the first calibration information of a plurality of assembly deviation types. Because each first calibration information can propose a specific adjustment value (i.e., the value corresponding to the first calibration adjustment data) for the data according to the precision requirement of the corresponding deviation type. These values can be different due to different emphases of the deviation types. Therefore, this step can be to filter the optimal value that can simultaneously meet the precision requirements of multiple types, or has the lowest adjustment cost, or has the least interference to other data, from the values of the target calibration adjustment data corresponding to the plurality of first calibration information. That is, in the plurality of first calibration information, the value that can simultaneously consider the precision requirements of the plurality of assembly deviation types and make the overall assembly precision optimal is selected.

[0091] For example, taking the calibration adjustment data of the axial compression force of the seal as an example (which affects both type 1 "circular displacement deviation of the seal" and type 3 "excessive gap between the valve stem and the core"), the values of the data in the first calibration information can be collected first. For example, the first calibration information of type 1: to achieve "excellent" accuracy (flow Q≤0.02 L / h), set F1=0.38 MPa; the first calibration information of type 3: in type 3, excessive axial compression force can cause deformation of the core, which indirectly affects the gap between the valve stem and the core, and the first calibration information requires F3≤0.39 MPa (to make the gap s≥0.015 mm, to avoid the valve stem from being stuck). Therefore, the value set of the first calibration adjustment data of the data is {0.38 MPa, ≤0.39 MPa}. The optimal value is selected from the value set of the first calibration adjustment data, for example, the selection criteria can be that the adjusted second assembly accuracy level of each related type is met (such as type 1 flow Q≤0.02 L / h and type 3 gap s≥0.015 mm), it is determined that it is within the adjustment range of the device (the adjustable range of F is 0.25 MPa~0.4 MPa), and it is determined that the adjustment amplitude is the smallest (to reduce tool wear and operation time). Verify the value set {0.38 MPa, ≤0.39 MPa}: verify whether F=0.38 MPa meets the requirements of type 3: substitute the deviation curve of type 3, calculate the gap s=0.018 mm (≥0.015 mm), which meets the requirements; verify whether it is within the process range: 0.38 MPa is within the interval of 0.25 MPa~0.4 MPa, which meets the requirements; verify the economy: the adjustment amplitude of 0.38 MPa and the target value 0.35 MPa is 0.03 MPa, which is smaller than 0.04 MPa if 0.39 MPa is taken, which is more economical. Therefore, the optimal value is determined to be 0.38 MPa. The selected optimal value 0.38 MPa is taken as the value of "axial compression force (F) of the seal" in the second calibration information.

[0092] In this way, each calibration adjustment data is selected from the optimal value of the multiple first calibration information values related to it, as the final value of the second calibration information. This method can not only meet the accuracy requirements of each single type, but also realize the collaborative optimization of data adjustment, avoiding the data conflict caused by single information, which cannot be scientifically and comprehensively judged, and easily leading to insufficient calibration (excessive water temperature fluctuation) or excessive calibration, resulting in a water faucet that cannot meet the use requirements.

[0093] In a possible implementation, the faucet thermostatic valve core assembly calibration method further comprises:

[0094] In the case where the target calibration adjustment data is not the target value of the other calibration adjustment data in the at least one calibration adjustment data, the value corresponding to the target calibration adjustment data is obtained according to the second assembly accuracy level, the deviation curve and the deviation value.

[0095] It can be understood that, under the premise that other calibration adjustment data is the target value, the determination process of the value corresponding to the target calibration adjustment data is essentially solving the deviation curve in reverse: when the assembly precision reaches the second assembly precision level (target level), the specific value of the current data needs to be adjusted. The process takes the deviation value as the performance boundary, takes the second assembly precision level as the target, and obtains the accurate adjustment amount of the data through curve operation, that is, the value corresponding to the target calibration adjustment data.

[0096] For example, taking the value of the angle adjustment amount θ in the temperature sensing element installation angle deviation type as an example: the known condition is the deviation curve: t = 0.8a + 2.5b - 0.15θ - 0.03F + 0.5 (t is the temperature response delay time, s; a = 0.4 mm, b = 0.1 mm are the values of the current deviation influence data); other data is the target value: F = F0 = 25 N.cm; the deviation value: t0 = 2s (the boundary between qualified and unqualified), the second assembly precision level: target t ≤ 0.5s (“optimal level” better than threshold). Substitute the known condition into the deviation curve, and solve θ in reverse with the target t = 0.5s: 0.5 = 0.8 × 0.4 + 2.5 × 0.1 - 0.15θ - 0.03 × 25 + 0.5, θ = -1.2° (negative sign indicates that θ needs to be adjusted by 1.2° in the direction opposite to the initial direction), that is, θ is determined as the value corresponding to the target calibration adjustment data.

[0097] In this way, data support is provided for subsequent processes.

[0098] In one possible implementation, the faucet thermostatic valve core assembly calibration method further includes:

[0099] In the case where the original value corresponding to the target calibration adjustment data does not meet the assembly process requirements, the values corresponding to other calibration adjustment data except the target calibration adjustment data in at least one calibration adjustment data are obtained according to the original value corresponding to the target calibration adjustment data, the second assembly precision level, the deviation curve and the deviation value.

[0100] It can be understood that the assembly process condition can be a data adjustment limit (such as the maximum adjustment range of the equipment, the compression limit of the material, the operation time threshold, etc.) determined by the equipment capacity, the material characteristics, the operation specification, etc. in the production process; the failure to meet the assembly process condition can be that the value of a certain calibration adjustment data exceeds these limits (such as the calculated value needs to be adjusted by 1.5 mm, but the maximum adjustment range of the equipment is only 0.3 mm); and the value of other calibration adjustment data can be a substitute value for indirectly meeting the second assembly precision level when the target calibration adjustment data cannot be adjusted according to the theoretical value by adjusting other data under the same deviation type.

[0101] For example, when the theoretical set value of a certain calibration adjustment data exceeds the process condition (such as equipment adjustment is not allowed, material is not allowed), the data is first locked at the maximum adjustment value allowed by the process (i.e. the limit value that does not violate the process condition), and then the value is taken as the premise to recalculate how much other data needs to be adjusted to make the deviation evaluation index still meet the second assembly precision level and the deviation value requirement through the deviation curve.

[0102] For example, taking the temperature sensing element installation angle deviation type as an example (the value of θ is -1.5° which is not feasible): known conditions: deviation curve: t = 0.8a + 2.5b - 0.15θ - 0.03F + 0.5 (a = 0.4mm, b = 0.1mm, the target value of other data F is 25N.cm); due to equipment limitations, θ can be adjusted to -1° at most (i.e. θ = -1°, which is the limit value allowed by the equipment); the second assembly precision level is the target t ≤ 0.5s; other calibration adjustment data: F (bracket tightness, adjustment range 20-35N.cm, no process limitation). Substitute θ = -1° (the maximum feasible value) into the deviation curve and solve F inversely: 0.5 = 0.8 × 0.4 + 2.5 × 0.1 - 0.15 × (-1) - 0.03F + 0.5, which gives F = 24N.cm. Determine whether F = 24N.cm is within its adjustment range (20-35N.cm) and meets the assembly process condition. Substitute θ = -1° and F = 24N.cm into the curve to get t = 0.5s, which just reaches the target of the second assembly precision level. Therefore, the value of the first calibration adjustment data of the fixed bracket tightness F is determined as 24N.cm, i.e. the corresponding value of the other calibration adjustment data.

[0103] In this way, even if a certain data cannot reach the ideal set value due to process limitations, the precision target can still be achieved by adjusting other data. This method respects the actual production constraints and maximizes the precision improvement effect through data coordination, which helps to improve the feasibility and practicality of subsequent calibration information.

[0104] In a possible implementation, the deviation value is determined according to the simulation result of fluid dynamics of the thermostatic valve core.

[0105] It can be understood that the fluid dynamics simulation can be a technique of digitally simulating the water flow motion state (including flow velocity, pressure, temperature distribution, turbulence characteristics, etc.) inside the thermostatic valve core through computational fluid dynamics (CFD) software (such as ANSYS Fluent, STAR-CCM+, etc.).

[0106] For example, the critical deviation value from qualified to unqualified performance can be found by analyzing the fluid performance changes under different assembly deviation degrees through simulation analysis, and the critical value is set as the deviation value.

[0107] In this way, hundreds of deviation conditions can be simulated, and the details of the internal flow field and temperature field of the valve core can be captured, so that the deviation value setting is more in line with the actual working state, and the problems of too high deviation value (allowing unqualified products) or too low deviation value (excessive calibration increasing cost) caused by experience judgment are avoided, so as to provide objective and quantitative judgment criteria for subsequent calibration information.

[0108] It should be understood that the size of the serial number of each step in the above embodiment does not mean the order of execution, and the execution order of each process should be determined according to its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0109] Corresponding to the faucet thermostatic valve core assembly calibration method described in the above embodiment, the embodiments of the present application also provide a faucet thermostatic valve core assembly calibration system, and each unit of the system can realize each step of the faucet thermostatic valve core assembly calibration method. Figure 4 The structural block diagram of the faucet thermostatic valve core assembly calibration system provided by the embodiments of the present application is shown, and only the parts related to the embodiments of the present application are shown for ease of illustration.

[0110] Referring to Figure 4 , the faucet thermostatic valve core assembly calibration system comprises:

[0111] The acquisition unit is configured to acquire a plurality of assembly deviation types of the thermostatic valve core. Each assembly deviation type in the plurality of assembly deviation types comprises at least one calibration adjustment data, and the at least one calibration adjustment data is used to adjust the assembly accuracy of the thermostatic valve core. Each assembly deviation type in the plurality of assembly deviation types is used to reflect a specific error type formed in the assembly process due to the deviation of the relative position, fitting state or physical data of the parts from the design standard.

[0112] The generation unit is configured to obtain a plurality of deviation curves corresponding to the plurality of assembly deviation types according to the at least one calibration adjustment data of each assembly deviation type in the plurality of assembly deviation types. The deviation curve is used to describe the mathematical relationship between the at least one calibration adjustment data and the actual valve core performance index under one assembly deviation type.

[0113] The calculation unit is configured to obtain first calibration information corresponding to the plurality of assembly deviation types according to the plurality of deviation curves corresponding to the plurality of assembly deviation types and a plurality of preset deviation values corresponding to the plurality of assembly deviation types. The deviation value is used to indicate the value of the performance state of the thermostatic valve core under the corresponding assembly deviation type, and the first calibration information is used to adjust the at least one calibration adjustment data of the corresponding assembly deviation type.

[0114] The integration unit is configured to obtain second calibration information of the thermostatic valve core according to the first calibration information corresponding to the plurality of assembly deviation types. The second calibration information is used to optimize at least one calibration adjustment data set by all the first calibration information, so as to improve the assembly precision of the thermostatic valve core.

[0115] It should be noted that the information interaction and execution process between the above systems / units are based on the same concept as the method embodiments of the present application, and the specific functions and technical effects brought by the above systems / units can be referred to the method embodiments part, which will not be repeated here.

[0116] Those skilled in the art can clearly understand that, for the convenience and brevity of description, only the division of the above functional units is exemplified, and in actual application, the above functions can be completed by different functional units according to needs, that is, the internal structure of the system is divided into different functional units to complete all or part of the above described functions. Each functional unit in the embodiment can be integrated in one processing unit, or each unit can be physically present separately, or two or more units can be integrated in one unit. The above integrated unit can be realized in the form of hardware or software functional unit. In addition, the specific name of each functional unit is only for easy distinction, and does not limit the protection scope of the present application. The specific working process of the unit in the system can refer to the corresponding process in the foregoing method embodiments, which will not be repeated here.

[0117] The present application also provides a faucet assembly line, Figure 5 The structure schematic diagram of the faucet assembly line provided by an embodiment of the present application is shown in the figure. Figure 5 As shown in the figure, the faucet assembly line 6 of the embodiment includes at least one processor 60 (only one is shown in the figure), at least one memory 61 (only one is shown in the figure), and a computer program 62 stored in the at least one memory 61 and executable on the at least one processor 60. When the processor 60 executes the computer program 62, the faucet assembly line 6 realizes the steps in any of the above faucet thermostatic valve core assembly and calibration method embodiments, or the faucet assembly line 6 realizes the functions of the units in the above system embodiments. Figure 5 Figure 5 Exemplarily, the computer program 62 can be divided into one or more units, which are stored in the memory 61 and executed by the processor 60 to complete the present application. The one or more units can be a series of computer program instruction segments capable of completing a specific function, which are used to describe the execution process of the computer program 62 in the faucet assembly line 6.

[0118] Exemplarily, the computer program 62 can be divided into one or more units, which are stored in the memory 61 and executed by the processor 60 to complete the present application. The one or more units can be a series of computer program instruction segments capable of completing a specific function, which are used to describe the execution process of the computer program 62 in the faucet assembly line 6. ​

[0119] The faucet assembly line 6 can include a material conveying device (such as a conveyor belt for conveying parts to be assembled, such as valve body, valve core, sealing ring, handle and semi-finished product, etc.), an assembly device (such as an automated mechanical arm, a clamp, etc., for completing the installation of the valve core and the valve body), a packaging device (such as a packaging machine for cleaning, wrapping a protective film, and packing into a packaging box for the qualified finished product), and a control device, wherein the control device is electrically connected with the material conveying device, the assembly device, and the packaging device. The control device can control the material conveying device to convey the parts to be assembled. Then, the control device sets the torque data of the valve core fixing bolt or corrects the valve core installation position or the sealing element compression amount according to the second calibration information, so as to control the assembly device to complete the installation of the valve core and the valve body by using the parts to be assembled conveyed by the material conveying device. Finally, the control device can control the packaging device to clean, wrap a protective film, and pack into a packaging box for the completed installation of the parts, so as to obtain the faucet finished product. The faucet assembly line 6 can include, but is not limited to, a processor 60 and a memory 61. Those skilled in the art can understand that, Figure 5 The faucet assembly line 6 is only an example and does not constitute a limitation on the faucet assembly line 6, and can include more or fewer components than those shown, or combine certain components, or different components, for example, can also include an input / output device, a network access device, a bus, etc.

[0120] The processor 60 can be a central processing unit (CPU), and can also be other general-purpose processors, digital signal processors (DSP), application specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor can be a microprocessor or the processor can also be any conventional processor.

[0121] The memory 61 can be an internal storage unit of the faucet assembly line 6 in some embodiments, such as a hard disk or a memory of the faucet assembly line 6. The memory 61 can also be an external storage device of the faucet assembly line 6 in other embodiments, such as a plug-in hard disk, a SmartMedia Card (SMC), a Secure Digital (SD) card, a Flash Card, and the like equipped on the faucet assembly line 6. Further, the memory 61 can include both the internal storage unit and the external storage device of the faucet assembly line 6. The memory 61 is used to store an operating system, an application program, a BootLoader, data, and other programs, such as program codes of the computer program, and the like. The memory 61 can also be used to temporarily store data that has been output or is to be output.

[0122] The embodiments of the present application further provide a computer readable storage medium, which stores a computer program. The computer program is executed by a processor to implement the steps in any of the above method embodiments.

[0123] The embodiments of the present application provide a computer program product. When the computer program product is run on the faucet assembly line, the faucet assembly line implements the steps in any of the above method embodiments.

[0124] The integrated unit, if implemented in the form of a software function unit and sold or used as an independent product, can be stored in a computer readable storage medium. Based on such an understanding, the present application implements all or part of the processes in the above embodiments, which can be completed by instructing relevant hardware through a computer program. The computer program can be stored in a computer readable storage medium. The computer program is executed by a processor to implement the steps in each of the above method embodiments. The computer program includes computer program code, which can be in the form of source code, object code, executable files, or some intermediate forms. The computer readable medium at least includes any entity or device capable of carrying the computer program code to the faucet assembly line, a recording medium, a computer memory, a read-only memory (ROM), a random access memory (RAM), an electrical carrier signal, a telecommunications signal, and a software distribution medium. For example, a U disk, a mobile hard disk, a magnetic disk or an optical disk, and the like.

[0125] In the above embodiments, the description of each embodiment has its own focus, and the parts not described or recorded in detail in a certain embodiment can be referred to the relevant description of other embodiments.

[0126] Those skilled in the art can understand that the units and algorithm steps of each example described in combination with the embodiments disclosed herein can be realized by electronic hardware or a combination of computer software and electronic hardware. Whether the functions are realized in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to realize the described functions for each specific application, but such implementation should not be considered beyond the scope of the present application.

[0127] In the embodiments provided in the present application, it should be understood that the disclosed faucet assembly line, faucet thermostatic valve core assembly calibration system and faucet thermostatic valve core assembly calibration method can be implemented in other ways. For example, the faucet assembly line and faucet thermostatic valve core assembly calibration system embodiments described above are merely illustrative. For example, the division of the units is only a logical function division, and there can be another division manner in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the coupling or direct coupling or communication connection between the units shown or discussed can be indirect coupling or communication connection through some interface, device or unit, and can be electrical, mechanical or other forms.

[0128] The units described as separate components can or can not be physically separated, and the components shown as units can or can not be physical units, i.e. they can be located in one place or distributed on multiple network units. Part or all of the units can be selected according to actual needs to achieve the purpose of the embodiments.

[0129] The above-described embodiments are only used to illustrate the technical solutions of the present application, but not to limit them; although the present application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that the technical solutions recorded in the foregoing embodiments can be modified, or some technical features can be replaced by equivalent ones; and these modifications or replacements do not make the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present application, and should be included in the protection scope of the present application.

Claims

1. A method for assembling and calibrating a thermostatic valve core for a faucet, characterized in that, The method includes: Multiple assembly deviation types of the thermostatic valve core are obtained; wherein, each of the multiple assembly deviation types includes at least one calibration adjustment data, the at least one calibration adjustment data is used to adjust the assembly accuracy of the thermostatic valve core; each of the multiple assembly deviation types is used to reflect a specific error type formed during the assembly process due to deviations of the relative position, fit state or physical data of the parts from the design standard. Based on at least one calibration adjustment data for each of the plurality of assembly deviation types, a deviation curve corresponding to the plurality of assembly deviation types is obtained; wherein, the deviation curve is used to describe the mathematical relationship between the at least one calibration adjustment data and the actual valve core performance index under an assembly deviation type; Based on the deviation curves corresponding to the plurality of assembly deviation types and the preset deviation values ​​corresponding to the plurality of assembly deviation types, first calibration information corresponding to the plurality of assembly deviation types is obtained; wherein, the deviation value is used to indicate the performance state of the thermostatic valve core under the corresponding assembly deviation type, and the first calibration information is used to adjust the at least one calibration adjustment data of the corresponding assembly deviation type. Based on the first calibration information corresponding to the multiple assembly deviation types, the second calibration information of the thermostatic valve core is obtained; wherein, the second calibration information is used to optimize the at least one calibration adjustment data set by all the first calibration information to improve the assembly accuracy of the thermostatic valve core.

2. The faucet thermostatic valve core assembly and calibration method as described in claim 1, characterized in that, The step of obtaining the deviation curves corresponding to the plurality of assembly deviation types based on at least one calibration adjustment data for each of the plurality of assembly deviation types includes: For one of the multiple assembly deviation types, a corresponding deviation evaluation index and at least one deviation impact data are determined; wherein, the deviation evaluation index is used to indicate the degree of assembly deviation of the thermostatic valve core, and the at least one deviation impact data is used to indicate the cause of the assembly deviation. Based on the deviation evaluation index, the at least one deviation impact data, and the at least one calibration adjustment data, a quantitative analysis is performed to obtain the deviation curve corresponding to one of the multiple assembly deviation types.

3. The faucet thermostatic valve core assembly and calibration method as described in claim 2, characterized in that, The step of obtaining the deviation curve corresponding to one of the plurality of assembly deviation types based on the deviation evaluation index, the at least one deviation impact data, and the at least one calibration adjustment data includes: Acquire multiple first data points of the thermostatic valve core under one of the multiple assembly deviation types; wherein, the multiple first data points are used to indicate the values ​​corresponding to the deviation evaluation index of the thermostatic valve core in multiple assembly states; Acquire multiple second data corresponding to each deviation impact data in the at least one deviation impact data; wherein, the multiple second data are used to indicate the values ​​corresponding to the deviation impact data of the thermostatic valve core in the multiple assembly states; Based on the plurality of first data, the plurality of second data corresponding to each deviation influence data in the at least one deviation influence data, and the at least one calibration adjustment data, the deviation curve corresponding to one of the plurality of assembly deviation types is obtained.

4. The faucet thermostatic valve core assembly and calibration method as described in claim 1, characterized in that, Each of the at least one calibration adjustment data carries a target value, which is generated based on the design performance of the thermostatic valve core.

5. The faucet thermostatic valve core assembly and calibration method as described in claim 4, characterized in that, The step of obtaining first calibration information corresponding to the plurality of assembly deviation types based on the deviation curves corresponding to the plurality of assembly deviation types and the preset deviation values ​​corresponding to the plurality of assembly deviation types includes: For one of the multiple assembly deviation types, a first assembly accuracy level of the thermostatic valve core is obtained based on the deviation curve, the deviation value, and the target value corresponding to the at least one calibration adjustment data; wherein, the first assembly accuracy level is used to indicate the assembly accuracy of the thermostatic valve core when the at least one calibration adjustment data is the target value. Based on the preset second assembly accuracy level and the first assembly accuracy level of the thermostatic valve core, the first calibration information corresponding to the assembly deviation type is determined; wherein, the second assembly accuracy level is higher than the first assembly accuracy level.

6. The faucet thermostatic valve core assembly and calibration method as described in claim 1, characterized in that, The step of obtaining the second calibration information of the thermostatic valve core based on the first calibration information corresponding to the multiple assembly deviation types includes: For one of the at least one calibration adjustment data, the value of the second adjustment data corresponding to the calibration adjustment data under the second calibration information is obtained based on the optimal value among the values ​​of the target calibration adjustment data corresponding to the calibration adjustment data under the first calibration information.

7. The faucet thermostatic valve core assembly and calibration method as described in claim 6, characterized in that, The method further includes: When the other calibration adjustment data besides the target calibration adjustment data in the at least one calibration adjustment data are target values, the value of the target calibration adjustment data is obtained according to the second assembly accuracy level, the deviation curve and the deviation value.

8. The faucet thermostatic valve core assembly and calibration method as described in claim 6, characterized in that, The method further includes: If the original value corresponding to the target calibration adjustment data does not meet the assembly process requirements, the values ​​corresponding to the other calibration adjustment data besides the target calibration adjustment data are obtained based on the original value corresponding to the target calibration adjustment data, the second assembly accuracy level, the deviation curve, and the deviation value.

9. The faucet thermostatic valve core assembly and calibration method as described in claim 1, characterized in that, The deviation value was determined based on the fluid dynamics simulation results of the thermostatic valve core.

10. A faucet assembly line, characterized in that, The method includes a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor, when executing the computer program, implements the method as claimed in any one of claims 1 to 9.

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