Faucet assembly line and assembly calibration method thereof

Abstract

The invention is suitable for the technical field of valve assembly, and particularly relates to a faucet assembly line and an assembly calibration method thereof. According to the at least one piece of calibration adjustment data of each assembly deviation type in the multiple assembly deviation types, deviation curves corresponding to the multiple assembly deviation types are obtained; obtaining 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; and according to the first calibration information corresponding to the multiple assembly deviation types, second calibration information of the thermostatic valve element is obtained. According to the method, the problems that independent adjustment is carried out for single type deviation, the adjustment amplitude cannot be scientifically and comprehensively judged, insufficient calibration or excessive calibration is easily caused, and the produced faucet cannot meet the use requirement can be solved.

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: 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. 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.

[0007] The technical solutions described in this application embodiment have at least the following technical effects: The faucet thermostatic valve core assembly calibration method provided in this application considers multiple assembly deviation types of the thermostatic valve core. Based on the deviation curve and deviation value for each assembly deviation type, it obtains the first calibration information corresponding to each assembly deviation type. Then, based on the first calibration information corresponding to multiple assembly deviation types, it obtains the second calibration information for the thermostatic valve core, enabling reasonable setting of calibration adjustment data. This method comprehensively covers all types of deviations affecting assembly accuracy, achieving an upgrade from single-type deviation adjustment to multi-type collaborative calibration. It avoids the limitations of single-type deviation adjustment leading to faucets that cannot meet usage requirements, and helps to scientifically and comprehensively determine the adjustment range so that the produced faucets can meet usage needs.

[0008] Secondly, embodiments of this application provide a faucet thermostatic valve core assembly and calibration system, applied to a faucet assembly line, for implementing the faucet thermostatic valve core assembly and calibration method described in any one of the first aspects above. The faucet thermostatic valve core assembly and calibration system includes: The acquisition unit is used to acquire multiple assembly deviation types of the thermostatic valve core; 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. The generation unit is used to obtain the deviation curve corresponding to the plurality of assembly deviation types based on the at least one calibration adjustment data of each assembly deviation type; 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. The calculation unit is used to obtain 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; 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. An integration unit is used to obtain second calibration information of the thermostatic valve core based on the first calibration information corresponding to the plurality of assembly deviation types; 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.

[0009] Thirdly, embodiments of this application provide a faucet assembly line, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it implements the faucet thermostatic valve core assembly and calibration method described in any one of the first aspects above.

[0010] It is understood that the beneficial effects of the second and third aspects mentioned above can be found in the relevant descriptions in the first aspect mentioned above, and will not be repeated here. Attached Figure Description

[0011] To more clearly illustrate the technical solutions in the embodiments of this application, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0012] Figure 1 This is a flowchart illustrating the assembly and calibration method for a faucet thermostatic valve core provided in one embodiment of this application. Figure 2 This is a schematic diagram of the structure of a faucet assembly line provided in one embodiment of this application; Figure 3 This is a calibration schematic diagram of the faucet thermostatic valve core assembly calibration method provided in one embodiment of this application; Figure 4 This is a schematic diagram of the faucet thermostatic valve core assembly and calibration system provided in the embodiments of this application; Figure 5 This is a schematic diagram of the faucet assembly line provided in the embodiments of this application. Detailed Implementation

[0013] In the following description, specific details such as particular system architectures and techniques are set forth for illustrative purposes and not for limitation, in order to provide a thorough understanding of the embodiments of this application. However, those skilled in the art will understand that this application may also be implemented in other embodiments without these specific details. In other instances, detailed descriptions of well-known systems, apparatuses, circuits, and methods have been omitted so as not to obscure the description of this application with unnecessary detail.

[0014] It should be understood that, when used in this application specification and the appended claims, the term "comprising" indicates the presence of the described features, integrals, steps, operations, elements and / or components, but does not exclude the presence or addition of one or more other features, integrals, steps, operations, elements, components and / or a collection thereof.

[0015] It should also be understood that the term “and / or” as used in this application specification and the appended claims means any combination of one or more of the associated listed items and all possible combinations, and includes such combinations.

[0016] As used in this application specification and the appended claims, the term "if" may be interpreted, depending on the context, as "when," "once," "in response to determination," or "in response to detection." Similarly, the phrase "if determined" or "if the described condition or event is detected" may be interpreted, depending on the context, as "once determined," "in response to determination," "once the described condition or event is detected," or "in response to the detection of the described condition or event."

[0017] Furthermore, in the description of this application and the appended claims, the terms "first," "second," "third," etc., are used only to distinguish descriptions and should not be construed as indicating or implying relative importance.

[0018] References to "one embodiment" or "some embodiments" as described in this specification mean that one or more embodiments of this application include a specific feature, structure, or characteristic described in connection with that embodiment. Therefore, the phrases "in one embodiment," "in some embodiments," "in other embodiments," "in still other embodiments," etc., appearing in different parts of this specification do not necessarily refer to the same embodiment, but rather mean "one or more, but not all, embodiments," unless otherwise specifically emphasized. The terms "comprising," "including," "having," and variations thereof mean "including but not limited to," unless otherwise specifically emphasized.

[0019] In related technologies, 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 achieve 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.

[0020] 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.

[0021] 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.

[0022] For example, current methods for calibrating thermostatic valve cores in faucets rely on manual adjustments of single data points, such as adjusting only the tightness of the valve core seals. However, the assembly process often encounters various types of assembly deviations: such as misalignment between the valve core seal and the valve cavity, misalignment between the hot and cold water inlet channels and the valve core, excessive clearance between the adjusting rod and the valve core shaft, and loose temperature sensing elements. Simply adjusting the tightness of the valve core seals makes it difficult to scientifically and comprehensively assess the adjustment range, easily leading to undercalibration (excessive water temperature fluctuations) or overcalibration, resulting in faucets that fail to meet usage requirements.

[0023] To address the aforementioned issues, this application provides a faucet assembly line and its assembly and calibration method.

[0024] This method considers multiple assembly deviation types of the thermostatic valve core, and obtains the first calibration information corresponding to each assembly deviation type based on the deviation curve and deviation value. Then, based on the first calibration information corresponding to multiple assembly deviation types, the second calibration information of the thermostatic valve core is obtained, allowing for reasonable setting of calibration adjustment data. This method comprehensively covers various deviation types affecting assembly accuracy, achieving an upgrade from single-type deviation adjustment to multi-type collaborative calibration. It avoids the limitation of single-type deviation adjustment causing faucets to fail to meet usage requirements, and helps to scientifically and comprehensively determine the adjustment range so that the produced faucets can meet usage needs.

[0025] The faucet thermostatic valve core assembly and calibration method provided in this application embodiment can be applied to faucet assembly lines. In this case, the faucet assembly line is the execution subject of the faucet thermostatic valve core assembly and calibration method provided in this application embodiment. This application embodiment does not impose any restrictions on the specific type of faucet assembly line.

[0026] For example, a faucet assembly line (such as...) Figure 2 The assembly unit can include a material conveying device (such as a conveyor belt for conveying components to be assembled, such as valve bodies, valve cores, sealing rings, handles, and semi-finished products), an assembly device (such as automated robotic arms and fixtures for installing valve cores and valve bodies), a packaging device (such as a packaging machine for cleaning qualified finished products, applying protective films, and packing them into boxes), and a control device. The control device is electrically connected to the material conveying device, assembly device, and packaging device. The control device can control the material conveying device to convey the components to be assembled. Then, based on second calibration information, the control device sets the torque data of the valve core fixing bolts or corrects the valve core installation position or the compression of the seals to control the assembly device to use the components conveyed by the material conveying device to complete the installation of the valve core and valve body. Finally, the control device can control the packaging device to clean, apply protective films, and pack the assembled components into boxes to obtain the finished faucet.

[0027] For example, the control device can be a microcontroller, mobile phone, tablet computer, laptop computer, ultra-mobile personal computer (UMPC), netbook, desktop computer, computing device, or computer, laptop computer, handheld communication device, handheld computing device, etc. connected to a wireless modem.

[0028] To better understand the faucet thermostatic valve core assembly and calibration method provided in this application embodiment, the specific implementation process of the faucet thermostatic valve core assembly and calibration method provided in this application embodiment will be described by way of example below.

[0029] Figure 1 This paper presents a schematic flowchart illustrating a faucet thermostatic valve core assembly and calibration method according to an embodiment of the present application. The faucet thermostatic valve core assembly and calibration method includes: S100, acquire multiple assembly deviation types of the thermostatic valve core. Each assembly deviation type includes at least one calibration adjustment data point, used to adjust the assembly accuracy of the thermostatic valve core. Each assembly deviation type reflects a specific error type that deviates from design standards during the assembly process due to the relative position, fit, or physical data of components.

[0030] It is understandable that the assembly deviation types of thermostatic valve cores are used to reflect specific error types that arise during the assembly process due to deviations in the relative positions, fit, or physical data of components from design standards. Each assembly deviation type is associated with at least one calibration adjustment data point. These calibration adjustment data points reflect physical quantities designed into the valve core structure or assembly tooling that can be fine-tuned during assembly or debugging phases to compensate for the corresponding assembly deviation type.

[0031] For example, in a production scenario, by combining the structural characteristics of the thermostatic valve core (such as its composition of valve shell, core, seals, hot and cold water inlets, valve stem, etc.) and past assembly defect data, 3-5 types of assembly deviations can be identified. For each type of assembly deviation, data reserved in the valve core design or assembly process that can be used to compensate for the deviation can be further identified, and this data can be determined as the calibration and adjustment data corresponding to that type of assembly deviation. For example, a circumferential misalignment deviation of the valve core seal manifests as misalignment between the seal and the sealing surface of the valve shell inlet, resulting in unstable hot and cold water mixing ratios and leakage at the low-temperature end. The corresponding calibration and adjustment data could be the circumferential positioning angle of the seal. As another example, a coaxiality deviation of the hot and cold water inlets manifests as an offset between the axis of the inlet and the axis of the core's water flow channel, resulting in increased water flow resistance and abnormal noise during valve core operation. The corresponding calibration and adjustment data could be the radial fine-tuning amount of the inlet. For example, if the clearance between the valve stem and the valve core exceeds the standard, it will manifest as the valve stem rotating with difficulty or looseness, resulting in a decrease in the accuracy of water temperature regulation (such as a set temperature of 38℃ but actual fluctuation of more than ±2℃). The corresponding calibration and adjustment data can be the clearance between the valve stem and the core.

[0032] S200: Based on at least one calibration adjustment data for each of the multiple assembly deviation types, deviation curves corresponding to the multiple assembly deviation types are obtained. The deviation curves describe the mathematical relationship between at least one calibration adjustment data and the actual valve core performance indicators under a given assembly deviation type.

[0033] It can be understood that the deviation curve is used to describe the mathematical relationship between at least one calibration adjustment data point and the actual valve core performance index under one of multiple assembly deviation types. The deviation curve is used to quantify the corrective effect of calibration adjustment data on the deviation.

[0034] For example, for a certain type of assembly deviation, while keeping other conditions constant, the calibration adjustment data is systematically changed, and a key performance indicator of the valve core is measured after each change (such as the outlet water temperature difference when switching from cold water to the set temperature, i.e., overshoot). By collecting multiple sets of sample data of "calibration adjustment data values ​​- performance indicator values", regression analysis (such as linear regression, multinomial regression) and other algorithms are used to perform curve fitting, thereby establishing a deviation curve with calibration adjustment data as the independent variable and performance deviation indicator as the dependent variable.

[0035] For example, 50 valve bodies and 50 valve cores from the same batch were selected. Other process data were fixed (e.g., ambient temperature 25℃, assembly torque 5 N·m). Multiple sets of variables were set for the radial fine-tuning of the inlet hole (denoted as x1) and the leveling amount of the core mounting reference surface (denoted as x2). Under each set of settings, the actual coaxiality deviation (denoted as y, unit: mm) was measured using a coordinate measuring machine. A total of 100 sets of valid data were collected (e.g., when x1=0.1mm, x2=0.05mm, y=0.18mm; when x1=0.2mm, x2=0.08mm, y=0.12mm). The least squares method was used to perform linear regression analysis on the collected data to obtain the deviation curve. The calculated deviation curve for this type is: y = 0.8x1 + 0.5x2 + 0.1, where the goodness of fit R² for y is ≥ 0.92 (indicating the curve can explain more than 92% of the deviation variation). The coefficient of x1, 0.8, indicates that when x2 remains constant, for every 0.1 mm increase in x1, y decreases by an average of 0.08 mm; the coefficient of x2, 0.5, indicates that when x1 remains constant, for every 0.05 mm increase in x2, y decreases by an average of 0.025 mm. Three sets of data combinations not involved in the fitting (e.g., x1 = 0.15 mm, x2 = 0.06 mm) were selected and substituted into the deviation curve to calculate the theoretical deviation ytheoretical = 0.8 × 0.15 + 0.5 × 0.06 + 0.1 = 0.25 mm. The actual measured deviation yactual = 0.26 mm, with an error ≤ 4%, verifying the effectiveness of the curve. It should be noted that the deviation curve corresponding to each assembly deviation type is different.

[0036] In one possible implementation, S200, based on at least one calibration adjustment data for each of the multiple assembly deviation types, obtains deviation curves corresponding to the multiple assembly deviation types, including: S210, for one of the multiple assembly deviation types, determine the corresponding deviation evaluation index and at least one deviation impact data. The deviation evaluation index indicates the degree of assembly deviation of the thermostatic valve core, and the at least one deviation impact data indicates the cause of the assembly deviation.

[0037] It is understandable that deviation evaluation indicators are used to quantify measurable and comparable specific data on the performance of a thermostatic valve core under one of multiple assembly deviation types, and their values ​​directly reflect the severity of the deviation. Deviation impact data are the root cause variables leading to the type of assembly deviation.

[0038] For example, for assembly deviations of circumferential misalignment of valve core seals, the deviation evaluation index can be the maximum gap value of the sealing surface, and the deviation impact data can be the radial tolerance of the seal itself. For assembly deviations of installation angle deviation of temperature sensing elements, the deviation evaluation index can be the temperature response delay time, and the deviation impact data can be the alignment deviation between the temperature sensing element and the water flow channel and the elastic deformation of the fixing buckle. Deviation evaluation indexes can be directly measured by testing tools (such as measuring response time with a temperature recorder or measuring reset accuracy with a coordinate measuring machine), and deviation impact data can be obtained through process traceability (such as checking part tolerance tables or recorded tooling data).

[0039] S220, based on the deviation evaluation index, at least one deviation impact data and at least one calibration adjustment data, performs quantitative analysis to obtain the deviation curve corresponding to one of the multiple assembly deviation types.

[0040] It is understandable that quantitative analysis is used to quantify the combined effect of deviation impact data and calibration adjustment data on the final manifestation of the deviation.

[0041] For example, a four-cause, three-level orthogonal experiment can be designed based on deviation evaluation indicators, at least one deviation impact data point, and at least one calibration adjustment data point (as shown in Table 1, where the alignment deviation 'a' between the temperature sensing element and the water flow channel and the elastic deformation 'b' of the fixing buckle are deviation impact data, the angle adjustment 'θ' of the temperature sensing element and the tightness 'F' of the fixing bracket are calibration adjustment data, and the temperature response delay time 't' is the deviation evaluation indicator). Through multiple linear regression analysis, the experimental data are fitted into a deviation curve. Three sets of data combinations not involved in the fitting are selected and substituted into the deviation curve to calculate the theoretical deviation. The theoretical deviation is then compared with the actual detected deviation, with an error ≤4%, verifying the effectiveness of the curve.

[0042]

[0043] In one possible implementation, S220, quantitative analysis is performed based on deviation evaluation indicators, at least one deviation impact data, and at least one calibration adjustment data to obtain a deviation curve corresponding to one of the multiple assembly deviation types, including: S221, acquire multiple first data points for the thermostatic valve core under one of the multiple assembly deviation types. These multiple first data points indicate the values ​​corresponding to the deviation evaluation indicators of the thermostatic valve core under multiple assembly states.

[0044] It is understandable that the first data can be the numerical values ​​of the deviation evaluation index obtained by actually measuring the performance of the thermostatic valve core under various controllable and known assembly states, through different production scenarios (such as assembly conditions under different temperatures and tooling data) constructed by adjusting process data, changing component batches, and changing environmental conditions.

[0045] For example, taking the temperature sensing element installation angle deviation type as an example, different assembly scenarios can be constructed by adjusting key variables under this type (such as the temperature sensing element angle θ, the tightness of the buckle, etc. F). For each assembly state, a constant temperature water flow test bench is used to record the time interval from the sudden change in water temperature to the valve core starting to adjust through a temperature sensor. Each state is measured three times, and the average value is taken as the first data for that state.

[0046] S222, acquire multiple second data corresponding to each deviation influence data in at least one deviation influence data set. The multiple second data sets are used to indicate the values ​​corresponding to the deviation influence data of the thermostatic valve core in multiple assembly states.

[0047] It is understood that the second data comes from the same assembly state as the first data, and represents the measured values ​​of each deviation affecting the data (such as the measured values ​​of seal tolerances). It will correspond one-to-one with the first data in the same state.

[0048] For example, taking the installation angle deviation of the temperature sensing element as an example, the values ​​of the alignment deviation 'a' between the temperature sensing element and the water flow channel and the elastic deformation 'b' of the fixing clip are measured simultaneously in each group of conditions, so that each first data point corresponds to a unique 'a' and 'b' (deviation influence data). For example, the alignment deviation 'a' can be measured using a laser displacement sensor to measure the radial distance between the center of the temperature sensing element and the center of the water flow channel, with three measurements taken for each group of conditions and the average value taken. For the elastic deformation 'b' of the clip, a dial indicator (accuracy ±0.001mm) can be used to measure the maximum deformation value of the clip after assembly, with two measurements taken for each group of conditions and the average value taken.

[0049] S223, based on multiple first data, multiple second data corresponding to each deviation influence data in at least one deviation influence data, and at least one calibration adjustment data, obtain the deviation curve corresponding to one of the multiple assembly deviation types.

[0050] It is understandable that the previously acquired data is standardized (e.g., converting a, b, θ, and F to standardized values ​​in the 0-1 range) to eliminate the impact of dimensional differences on modeling and to remove outliers (e.g., t=5.0s due to measurement error, which deviates too much from other samples and needs to be remeasured or discarded). A multiple linear regression model is used for fitting, assuming the curve form is: t=k1a+k2b+k3θ+k4F+c (where k1, k2, k3, and k4 are coefficients, and c is a constant term). The previously acquired data (values ​​of a, b, θ, and F and corresponding t values) are substituted into the model, and the coefficients are solved using the least squares method to obtain the deviation curve. Five additional sets of new assembly states are selected, and the predicted values ​​of t are calculated using the above curve. These are then compared with the actual measured values. 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 multinomial regression) needs to be used for refitting.

[0051] This setting can reflect both the original effect of deviation data on assembly accuracy (e.g., the coefficients of a and b are positive, indicating that their increase will worsen t) and the corrective effect of calibration adjustment data (e.g., the coefficients of θ and F are negative, indicating that their reasonable adjustment can improve t), which helps to scientifically and comprehensively judge the adjustment range.

[0052] S300: Based on the deviation curves corresponding to multiple assembly deviation types and the preset deviation values ​​corresponding to multiple assembly deviation types, first calibration information corresponding to multiple assembly deviation types is obtained. The deviation values ​​indicate the performance status 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 for the corresponding assembly deviation type.

[0053] It is understandable that the deviation value can be set based on the performance standards of the thermostatic valve core. The deviation value is used to reflect the maximum allowable deviation under a certain type of assembly deviation. If the deviation value is exceeded, the valve core cannot meet the usage requirements. The first calibration information can be a specific adjustment plan for a single type of assembly deviation, combining the deviation curve and the deviation value, which specifies "whether to adjust, which data to adjust, and to what extent".

[0054] For example, taking the coaxiality deviation of the hot and cold water inlet holes as an example, assuming that the current assembly data of a certain batch of valve cores is: x1=0.05mm, x2=0.02mm, substituting into the deviation curve to calculate the current deviation amount ycurrent=0.8×0.05+0.5×0.02+0.1=0.15mm, compared with the deviation value of 0.2mm, ycurrentthreshold, indicating that the deviation under the current data has not exceeded the standard, then the first calibration information is to keep the current calibration adjustment data unchanged.

[0055] For example, regarding the angular deviation type of the temperature sensing element: if the current included angle θ = 10°, substituting it into the deviation curve (e.g., ΔT = 0.8θ + 0.3) yields ΔT = 8.3℃ (> 2℃, exceeding the deviation value). Solving the inequality |0.8θ + 0.3| ≤ 2, we get θ ∈ [-2.875°, 2.125°] (in actual assembly, θ is a non-negative value, so the effective range is 0°~2.125°). Adjusting the included angle θ from 10° to 2° is the first calibration information.

[0056] S400: Based on the first calibration information corresponding to multiple assembly deviation types, the second calibration information of the thermostatic valve core is obtained. The second calibration information is used to optimize at least one calibration adjustment data set by all the first calibration information to improve the assembly accuracy of the thermostatic valve core.

[0057] It is understandable that, due to the potential interactions (i.e., coupling effects) between multiple assembly deviation types, simply calibrating each type independently to its optimal state may not achieve overall optimization and could even lead to conflicts. Therefore, a global, coordinated second calibration information is needed to comprehensively optimize the settings of all calibration adjustment data, ultimately improving the overall assembly accuracy of the thermostatic valve core. This second calibration information can be the final calibration scheme obtained by comprehensively considering all first calibration information, resolving potential data setting conflicts, and performing global optimization. Faucet assembly can be calibrated according to this second calibration information to produce qualified faucets (such as...). Figure 3 ).

[0058] For example, recommended setting ranges for each calibration adjustment data obtained from collecting all the first calibration information are gathered. Then, it is analyzed whether there are any inter-constraint relationships among these data, and with the overall performance index of the valve core as the target and the feasible range of each calibration adjustment data as the constraint, a set of second calibration information that optimizes the overall performance is determined.

[0059] For example, during production, simultaneously detecting "valve core and valve body concentricity deviation type" (currently x=0.8mm, the first calibration information requires adjustment to 0.3mm) and "spring preload deviation type" (currently F=4N, the first calibration information requires adjustment to 6N), we can analyze the data correlation. That is, during concentricity adjustment, fine-tuning of the valve body fixing seat may cause the spring seat position to shift, causing the actual preload value to deviate from the target (e.g., originally planned to be adjusted to 6N, but actually it may become 5.5N). Therefore, the second calibration information could be to prioritize concentricity adjustment: adjust x from 0.8mm to 0.4mm (leaving room for preload adjustment), retest concentricity to confirm stability; then increase F from 4N to 6.5N (compensating for the impact of subsequent concentricity fine-tuning), simultaneously recording the axial adjustment of the spring seat; then fine-tune concentricity a second time: finally adjust x from 0.4mm to 0.3mm, at which point the preload decreases to 6N due to the position change (meeting the target). Verification criteria: Water temperature fluctuation after adjustment ≤1.5℃, response time ≤3.5s, and no performance rebound caused by mutual interference between the two data.

[0060] This setup comprehensively covers all types of deviations that affect assembly accuracy, achieving an upgrade from single-type deviation adjustment to multi-type collaborative calibration. It avoids the limitation that single-type deviation adjustment would prevent the produced faucets from meeting usage requirements, and helps to scientifically and comprehensively judge the adjustment range so that the produced faucets can meet usage requirements.

[0061] In one possible implementation, each calibration adjustment data in at least one calibration adjustment data carries a target value, which is generated based on the design performance of the thermostatic valve core.

[0062] It is understandable that each calibration adjustment data point used to adjust assembly accuracy can be set with a baseline starting value, i.e., a target value. This target value serves as the benchmark for the assembly process, and all subsequent calibration adjustments are fine-tuned or corrected with reference to this target value. The target value is not arbitrarily set, but is determined in advance during the product design phase through theoretical calculations, simulation analysis, or prototype testing, based on the design performance indicators of the thermostatic valve core, so that the target value enables the valve core to meet the design performance requirements under ideal assembly conditions.

[0063] In one possible implementation, S300, based on the deviation curves corresponding to multiple assembly deviation types and the preset deviation values ​​corresponding to multiple assembly deviation types, obtains first calibration information corresponding to multiple assembly deviation types, including: 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.

[0064] 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.

[0065] 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.

[0066] 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.

[0067] S402, based on the preset second assembly accuracy level and first assembly accuracy level of the thermostatic valve core, determine the first calibration information corresponding to the assembly deviation type. The second assembly accuracy level is higher than the first assembly accuracy level.

[0068] It can be understood that the second assembly accuracy level is a pre-set target accuracy standard that is higher than the first assembly accuracy level (e.g., if the first assembly accuracy level is "qualified", the second assembly accuracy level is "excellent"), reflecting the final accuracy requirements that the valve core needs to achieve. The first calibration information is a specific scheme determined based on the difference between the first and second assembly accuracy levels, used to improve the accuracy from the first assembly accuracy level to the second assembly accuracy level.

[0069] For example, taking the spring preload deviation type as an example (the first assembly accuracy level is "unacceptable", which needs to be upgraded to the second assembly accuracy level "acceptable"), the first assembly accuracy level is: Δs = 1.056mm (unacceptable level, because it is >0.3mm); the second assembly accuracy level is: target Δs ≤0.3mm (acceptable level); the calibration adjustment data is: Fpreload (target value 6N, adjustable range 5-8N). Δs needs to be reduced from 1.056mm to ≤0.3mm, requiring a reduction of at least 0.756mm. According to the deviation curve Δs = 0.05H - 0.2Fpreload + 0.3δ, H and δ are non-adjustable influencing factors (H = 45HRC, δ = 0.02mm / m), only Fpreload is adjustable. Substituting the target Δs = 0.3mm, the calculation formula is 0.3 = 0.05 × 45 - 0.2Fpreload + 0.3 × 0.02, Fpreload = 9.78N (exceeding the adjustment range of 5-8N, requiring correction). Taking 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 = 0.656mm (still > 0.3mm, another data needs to be adjusted). Another calibration adjustment data for this type is "spring seat axial adjustment d" (target value 0.3mm, adjustable range 0.2-0.6mm). The corrected deviation curve is Δs = 0.05H - 0.2Fpre + 0.3δ - 0.5d (for every 0.1mm increase in d, Δs decreases by 0.05mm). Setting Fpre = 8N, target Δs = 0.3mm: 0.3 = 2.25 - 1.6 + 0.006 - 0.5d → d = 0.712mm (out of range, take d = 0.6mm). 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 preload from the target value of 6 N to 8 N, and simultaneously adjust the axial adjustment of the spring seat from 0.3 mm to 0.6 mm.

[0070] This setup determines both the direction and magnitude of data adjustment, ensuring that the final accuracy reaches the preset level, thus achieving a targeted improvement in assembly quality.

[0071] In one possible implementation, S400 obtains second calibration information for the thermostatic valve core based on first calibration information corresponding to multiple assembly deviation types, including: For one of the calibration adjustment data in 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.

[0072] It is understandable that in the assembly calibration of thermostatic valve cores, the same calibration adjustment data may simultaneously involve multiple first calibration information for different assembly deviation types. This is because each first calibration information can propose a specific adjustment value (i.e., the value corresponding to the first calibration adjustment data) based on the accuracy requirements of the corresponding deviation type. These values ​​may differ depending on the emphasis of the deviation type. Therefore, this step can be to select the optimal value from the target calibration adjustment data values ​​corresponding to multiple first calibration information that simultaneously meets multiple types of accuracy requirements, has the lowest adjustment cost, or minimizes interference with other data. In other words, it selects the value from multiple first calibration information that can simultaneously take into account the accuracy requirements of multiple assembly deviation types, resulting in the optimal overall assembly accuracy.

[0073] For example, taking the axial clamping force of the seal as a calibration adjustment data point (this data simultaneously affects both Type 1 "circumferential misalignment deviation of the seal" and Type 3 "excessive clearance between the valve stem and the core"), we can first collect the values ​​of this data from each first calibration information. For example, the first calibration information for Type 1: to achieve "superior" accuracy (flow rate Q≤0.02L / h), set F1=0.38MPa; the first calibration information for Type 3: in Type 3, excessive axial clamping force will cause core deformation, indirectly affecting the valve stem clearance, and its first calibration information requires F3≤0.39MPa (to ensure that the clearance s≥0.015mm, avoiding valve stem jamming). Therefore, the set of values ​​for the first calibration adjustment data of this data is {0.38MPa,≤0.39MPa}. The optimal value is selected from the set of values ​​of the first calibration adjustment data. For example, the selection criteria can be that the adjusted value simultaneously meets the second assembly accuracy level of each type (e.g., flow rate Q≤0.02L / h for type 1, and fit clearance s≥0.015mm for type 3), is within the equipment adjustment range (the adjustable range of F is 0.25MPa~0.4MPa), and has the smallest adjustment range (reducing tooling wear and operation time). The value set {0.38MPa,≤0.39MPa} is verified: Verify whether F=0.38MPa meets the requirements of type 3: Substitute into the deviation curve of type 3, calculate the fit clearance s=0.018mm (≥0.015mm), which meets the requirements; Verify whether it is within the process range: 0.38MPa is in the range of 0.25MPa~0.4MPa, which meets the requirements; Verify the economy: the adjustment range of 0.38MPa from the target value of 0.35MPa is 0.03MPa, which is less than 0.04MPa if 0.39MPa is taken, which is more economical. Therefore, the optimal value was determined to be 0.38 MPa. The selected optimal value of 0.38 MPa was used as the value of "Axial clamping force (F) of the seal" in the second calibration information.

[0074] With this setup, each calibration adjustment data point selects the optimal value from multiple first calibration information values ​​involved, which becomes the final value of the second calibration information. This method not only meets the accuracy requirements of each individual type but also achieves collaborative optimization of data adjustments. It avoids data conflicts that may arise from single pieces of information, which could lead to an inability to scientifically and comprehensively judge the adjustment range, potentially resulting in undercalibration (excessive water temperature fluctuations) or overcalibration, causing the produced faucets to fail to meet usage requirements.

[0075] In one possible implementation, the faucet thermostatic valve core assembly and calibration method also includes: If, in at least one calibration adjustment data point, all other calibration adjustment data points besides the target calibration adjustment data point are target values, the value corresponding to the target calibration adjustment data point is obtained based on the second assembly accuracy level, the deviation curve, and the deviation value.

[0076] It can be understood that, given that other calibration and adjustment data are the target values, the process of determining the value corresponding to the target calibration and adjustment data essentially involves solving the problem in reverse using the deviation curve: when the assembly accuracy reaches the second assembly accuracy level (target level), the current data needs to be adjusted to the specific value. This process uses the deviation value as the performance boundary, the second assembly accuracy level as the target, and obtains the precise adjustment amount of the data through curve calculation, which is the value corresponding to the target calibration and adjustment data.

[0077] For example, taking the calculation of the angle adjustment amount θ in the temperature sensing element installation angle deviation type as an example: the known conditions are the deviation curve: t=0.8a+2.5b-0.15θ-0.03F+0.5 (t is the temperature response delay time, s; a=0.4mm, b=0.1mm are the values ​​of the current deviation influence data); other data are the target value: F=F0=25N.cm; deviation value: t0=2s (the boundary between qualified and unqualified), second assembly accuracy level: target t≤0.5s (superior level, better than the threshold). Substituting the known conditions into the deviation curve, θ is solved 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, obtaining θ=-1.2° (the negative sign indicates that θ needs to be adjusted 1.2° in the opposite direction to the initial direction), that is, θ is determined to be the value corresponding to the target calibration adjustment data.

[0078] This setup provides data support for subsequent operations.

[0079] In one possible implementation, the faucet thermostatic valve core assembly and calibration method also includes: If the original value corresponding to the target calibration adjustment data does not meet the assembly process requirements, the value corresponding to at least one other calibration adjustment data other than the target calibration adjustment data is 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.

[0080] It is understandable that assembly process conditions can be data adjustment limitations determined by equipment capacity, material properties, and operating procedures during the production process (such as the maximum adjustment range of the equipment, the compressive strength limit of the material, the operating time threshold, etc.); failure to meet assembly process conditions can be due to the value of a certain calibration adjustment data exceeding these limitations (such as the calculated value requiring an adjustment of 1.5mm, but the equipment can only be adjusted up to 0.3mm); the values ​​of other calibration adjustment data can be substitute values ​​that indirectly meet the second assembly accuracy level by adjusting other data under the same deviation type when the target calibration adjustment data cannot be adjusted according to the theoretical value.

[0081] For example, when the theoretical set value of a certain calibration adjustment data exceeds the process conditions (such as the equipment cannot be adjusted or the material cannot withstand it), 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 conditions). Then, based on this value, other data need to be adjusted to how much through the deviation curve so that the deviation evaluation index still meets the requirements of the second assembly accuracy level and deviation value.

[0082] For example, taking the installation angle deviation type of the temperature sensing element as an example (θ value of -1.5° 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 F for other data is 25N.cm); Due to equipment limitations, θ can be adjusted to a maximum of -1° (i.e., θ=-1°, which is the limit value allowed by the equipment); The second assembly accuracy level is target t≤0.5s; Other calibration adjustment data: F (bracket tightness, adjustment range 20-35N.cm, no process restrictions). Substituting θ=-1° (maximum feasible value) into the deviation curve, and solving F in reverse: 0.5=0.8×0.4+2.5×0.1-0.15×(-1)-0.03F+0.5, we get F=24N.cm. Determine if F=24 N.cm is within its adjustment range (20-35 N.cm) and meets the assembly process conditions. Substituting θ=-1° and F=24 N.cm into the curve, we get t=0.5s, which just reaches the target of the second assembly accuracy level. Therefore, the first calibration adjustment data for the tightness F of the fixed bracket is determined to be 24 N.cm, which is the value corresponding to the other calibration adjustment data.

[0083] With this setup, even if a certain data point cannot reach the ideal set value due to process limitations, the accuracy target can still be achieved by adjusting other data. This method respects actual production constraints while maximizing accuracy improvement through data collaboration, which helps to enhance the feasibility and practicality of subsequent calibration information.

[0084] In one possible implementation, the deviation value is determined based on the results of fluid dynamics simulation of the thermostatic valve core.

[0085] It can be understood that fluid dynamics simulation can be a technology that uses computational fluid dynamics (CFD) software (such as ANSYS Fluent, STAR-CCM+, etc.) to digitally simulate the water flow state (including flow velocity, pressure, temperature distribution, turbulence characteristics, etc.) inside a thermostatic valve core.

[0086] For example, by simulating and analyzing the changes in fluid performance under different assembly deviations, the critical deviation value from qualified to unqualified performance can be found, and this critical value can be set as the deviation value.

[0087] This setting can simulate hundreds of deviation conditions and capture detailed changes in the flow field and temperature field inside the valve core, making the deviation value setting more in line with the actual working state. It avoids the problem of deviation values ​​being too high (letting out defective products) or too low (overcalibration increases costs) due to experience judgment, and provides an objective and quantitative judgment standard for subsequent calibration information.

[0088] It should be understood that the sequence number of each step in the above embodiments does not imply the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of this application.

[0089] Corresponding to the faucet thermostatic valve core assembly and calibration method described in the above embodiments, this application also provides a faucet thermostatic valve core assembly and calibration system, wherein each unit of the system can realize each step of the faucet thermostatic valve core assembly and calibration method. Figure 4 The diagram shows a structural block diagram of the faucet thermostatic valve core assembly and calibration system provided in the embodiments of this application. For ease of explanation, only the parts related to the embodiments of this application are shown.

[0090] Reference Figure 4 The faucet thermostatic valve core assembly and calibration system includes: The acquisition unit is used to acquire multiple assembly deviation types of the thermostatic valve core. Each assembly deviation type includes at least one calibration adjustment data point, used to adjust the assembly accuracy of the thermostatic valve core. Each assembly deviation type reflects a specific error type that deviates from design standards during the assembly process due to the relative position, fit, or physical data of components.

[0091] The generation unit is used to obtain deviation curves corresponding to multiple assembly deviation types based on at least one calibration adjustment data for each assembly deviation type. The deviation curves describe the mathematical relationship between at least one calibration adjustment data and the actual valve core performance indicators under a given assembly deviation type.

[0092] The calculation unit is used to obtain first calibration information corresponding to multiple assembly deviation types based on deviation curves corresponding to multiple assembly deviation types and preset deviation values ​​corresponding to multiple assembly deviation types. The deviation values ​​indicate 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 for the corresponding assembly deviation type.

[0093] An integration unit is used to obtain second calibration information for the thermostatic valve core based on first calibration information corresponding to multiple assembly deviation types. The second calibration information is used to optimize at least one calibration adjustment data set by all the first calibration information to improve the assembly accuracy of the thermostatic valve core.

[0094] 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 this application. For details on their specific functions and technical effects, please refer to the method embodiments section, and they will not be repeated here.

[0095] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the above-described division of functional units is merely an example. In practical applications, the above functions can be assigned to different functional units as needed, that is, the internal structure of the system can be divided into different functional units to complete all or part of the functions described above. The functional units in the embodiments can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit. Furthermore, the specific names of the functional units are only for easy differentiation and are not intended to limit the scope of protection of this application. The specific working process of the units in the above system can be referred to the corresponding process in the foregoing method embodiments, and will not be repeated here.

[0096] This application also provides a faucet assembly line. Figure 5 This is a structural schematic diagram of a faucet assembly line provided in one embodiment of this application. Figure 5 As shown, the faucet assembly line 6 of this embodiment includes: at least one processor 60 ( Figure 5 Only one is shown in the image), at least one memory 61 ( Figure 5 (Only one is shown in the image) and a computer program 62 stored in the at least one memory 61 and executable on the at least one processor 60, wherein when the processor 60 executes the computer program 62, it causes the faucet assembly line 6 to perform the steps in any of the above embodiments of the faucet thermostatic valve core assembly and calibration method, or causes the faucet assembly line 6 to perform the functions of each unit in the above embodiments of the system.

[0097] For example, the computer program 62 may be divided into one or more units, which are stored in the memory 61 and executed by the processor 60 to complete this application. The one or more units may be a series of computer program instruction segments capable of performing a specific function, which describe the execution process of the computer program 62 in the faucet assembly line 6.

[0098] The faucet assembly line 6 may include a material conveying device (such as a conveyor belt for conveying components to be assembled, such as valve bodies, valve cores, sealing rings, handles, and semi-finished products), an assembly device (such as automated robotic arms and fixtures for installing the valve core and valve body), a packaging device (such as a packaging machine for cleaning, applying protective film, and packaging boxes to qualified finished products), and a control device. The control device is electrically connected to the material conveying device, assembly device, and packaging device. The control device can control the material conveying device to convey the components to be assembled. Then, the control device sets the torque data of the valve core fixing bolts or corrects the valve core installation position or seal compression amount according to the second calibration information, so as to control the assembly device to use the components to be assembled conveyed by the material conveying device to complete the installation of the valve core and valve body. Finally, the control device can control the packaging device to clean, apply protective film, and package the assembled components to obtain the finished faucet. The faucet assembly line 6 may include, but is not limited to, a processor 60 and a memory 61. Those skilled in the art will understand that… Figure 5 This is merely an example of faucet assembly line 6 and does not constitute a limitation on faucet assembly line 6. It may include more or fewer components than shown, or combine certain components, or different components, such as input / output devices, network access devices, buses, etc.

[0099] The processor 60 can be a Central Processing Unit (CPU), or it can be other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor can be a microprocessor or any conventional processor.

[0100] In some embodiments, the memory 61 may be an internal storage unit of the faucet assembly line 6, such as a hard drive or memory of the faucet assembly line 6. In other embodiments, the memory 61 may be an external storage device of the faucet assembly line 6, such as a plug-in hard drive, SmartMedia Card (SMC), Secure Digital (SD) card, or Flash Card equipped on the faucet assembly line 6. Furthermore, the memory 61 may include both internal storage units and external storage devices of the faucet assembly line 6. The memory 61 is used to store operating systems, applications, bootloaders, data, and other programs, such as the program code of computer programs. The memory 61 can also be used to temporarily store data that has been output or will be output.

[0101] This application also provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the steps in any of the above method embodiments.

[0102] This application provides a computer program product that, when run on a faucet assembly line, enables the faucet assembly line to perform the steps described in any of the above method embodiments.

[0103] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, all or part of the processes in the methods of the above embodiments of this application can be implemented by a computer program instructing related hardware. The computer program can be stored in a computer-readable storage medium, and when executed by a processor, it can implement the steps of the various method embodiments described above. The computer program includes computer program code, which can be in the form of source code, object code, executable files, or certain intermediate forms. The computer-readable medium can include at least: any entity or device capable of carrying the computer program code to a faucet assembly line, a recording medium, a computer memory, a read-only memory (ROM), a random access memory (RAM), an electrical carrier signal, a telecommunication signal, and a software distribution medium, such as a USB flash drive, a portable hard drive, a magnetic disk, or an optical disk.

[0104] In the above embodiments, the descriptions of each embodiment have different focuses. For parts that are not described in detail or recorded in a certain embodiment, please refer to the relevant descriptions of other embodiments.

[0105] Those skilled in the art will recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are implemented 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 implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0106] In the embodiments provided in this application, it should be understood that the disclosed faucet assembly line, faucet thermostatic valve core assembly and calibration system, and faucet thermostatic valve core assembly and calibration method can be implemented in other ways. For example, the faucet assembly line and faucet thermostatic valve core assembly and calibration system embodiments described above are merely illustrative. For instance, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be an indirect coupling or communication connection through some interfaces, devices, or units, and may be electrical, mechanical, or other forms.

[0107] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0108] The above-described embodiments are only used to illustrate the technical solutions of this application, and are not intended to limit them. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of this application, and should all be included within the protection scope of this 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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