Camera lens curing coordination temperature control method and system

Abstract

The application relates to the technical field of camera lens curing control, and discloses a camera lens curing and temperature control method and system, which comprises the following steps: acquiring initial temperatures of multiple to-be-cured edge monitoring points and imaging component adjacent area monitoring points of a lens assembly; before formal curing, a detection thermal excitation is applied to the multiple to-be-cured edge monitoring points one by one, and temperature response data is collected; based on the initial temperatures and the temperature response data, local heat transfer characteristic parameters of the lens assembly are calculated, heat transfer boundaries on the lens assembly, at which heat is transferred from a to-be-cured area to an imaging component adjacent area, are identified according to the local heat transfer characteristic parameters, and a boundary main heat source, a boundary main heat dissipation source and a boundary temperature monitoring point are specified; during the formal curing process, based on temperature change data fed back by the boundary temperature monitoring point, the output intensity of the boundary main heat source and the heat dissipation intensity of the boundary main heat dissipation source are adjusted, the problem of abnormal heat transfer is solved, and the glue layer is fully cured and the heat-sensitive components are protected.

Description

Technical Field

[0001] This application relates to the field of camera lens curing control technology, and more specifically, to a method and system for coordinated temperature control during camera lens curing. Background Technology

[0002] In the local curing process of endoscope camera lens assemblies, a multi-area heating, local cooling, and multi-point temperature measurement approach is typically used to heat and cure the adhesive layer while protecting heat-sensitive components such as the imaging chip and cable connection areas. Existing technologies configure multiple heating and cooling targets, as well as multiple temperature monitoring points, in the same curing station. After the assembly is fixed by fixtures, heating, heat dissipation, and temperature monitoring are performed according to a preset spatial correspondence.

[0003] However, in actual mass production, individual differences between different assemblies, such as the tightness of the mounting base and the housing, the amount of adhesive coating, and the proximity of the cabling, can cause a shift in the actual thermal resistance of heat transfer from the adhesive layer area to the area adjacent to the imaging component. When the thermal resistance of the heat transfer path of a certain assembly is low, the heating and cooling objects operating according to fixed positions and intensities cannot adapt to this internal change, which can easily lead to abnormal compression of the temperature difference between the outer edge of the adhesive layer and the area adjacent to the imaging component. That is, the imaging component side heats up too quickly, resulting in the inability to ensure that the adhesive layer is fully cured and the heat-sensitive imaging component is not protected.

[0004] Existing technologies lack a control method that can adaptively identify the actual heat transfer boundary of each assembly and dynamically adjust the collaborative relationship between the heating source, heat dissipation source and monitoring point accordingly. Summary of the Invention

[0005] To address the shortcomings of existing technologies, this application provides a method and system for coordinated temperature control during camera lens curing, which can solve the problem in existing technologies where abnormal heat transfer due to individual differences in assemblies affects the curing quality of the adhesive layer and the protection effect of heat-sensitive components.

[0006] In a first aspect, this application provides a method for coordinated temperature control during camera lens curing, comprising: Acquire the first initial temperature of multiple edge monitoring points to be cured on the lens assembly and the second initial temperature of multiple monitoring points in the adjacent area of ​​the imaging components; Before formal curing, thermal excitation was applied to multiple edge monitoring points to be cured one by one, and the first temperature response data of multiple edge monitoring points to be cured and the second temperature response data of monitoring points in the adjacent area of ​​the imaging component were collected. Based on the first initial temperature, the second initial temperature, the first temperature response data and the second temperature response data, the local heat transfer characteristic parameters of the lens assembly are calculated, and the heat transfer boundary of the lens assembly from the area to be cured to the adjacent area of ​​the imaging component is identified according to the local heat transfer characteristic parameters. Based on the identified heat transfer boundary, the boundary main heat source, boundary main heat source, and boundary temperature monitoring point are specified from multiple heat sources, multiple heat sources, and multiple temperature monitoring points on the assembly station. During the formal curing process, the output intensity of the main heat source at the boundary and the heat dissipation intensity of the main heat source at the boundary are adjusted based on the temperature change data fed back from the boundary temperature monitoring points. After curing is completed, the withdrawal action is performed in the order of first reducing the output intensity of the main heat source at the boundary, and then reducing the heat dissipation intensity of the main heat source at the boundary.

[0007] Furthermore, this application also proposes a step for calculating the local heat transfer characteristic parameters of the lens assembly based on a first initial temperature, a second initial temperature, first temperature response data, and second temperature response data, including: The detection temperature rise rate is calculated based on the first initial temperature and first temperature response data of each monitoring point at the edge to be cured. The following temperature rise rate is calculated based on the second initial temperature and second temperature response data of the monitoring points in the vicinity of each imaging component; The ratio of the following temperature rise rate to the detected temperature rise rate is calculated and used as the cross-boundary heat transfer coefficient for each monitoring point on the edge to be cured to transfer heat to the monitoring points in the adjacent area of ​​the imaging component. The time difference between the moment when the monitoring point at the edge to be cured first reaches the preset temperature and the moment when the monitoring point in the adjacent area of ​​the imaging component reaches the preset temperature earliest is calculated as the heat transfer delay. The cross-boundary heat transfer coefficient and heat transfer delay are stored as local heat transfer characteristic parameters.

[0008] Furthermore, this application also proposes a step for identifying the heat transfer boundary on the lens assembly from the area to be cured to the adjacent area of ​​the imaging component based on local heat transfer characteristic parameters, including: The side where the monitoring point of the edge to be cured is located, which corresponds to the largest cross-boundary heat transfer coefficient and the smallest heat transfer delay, is determined as the main direction of heat transfer from the area to be cured to the adjacent area of ​​the imaging component. The heat transfer interface between the area to be cured in the main direction and the area adjacent to the imaging component is identified as the heat transfer boundary.

[0009] Furthermore, this application also proposes a step of designating a boundary main heat source, a boundary main heat source, and a boundary temperature monitoring point from multiple heat sources, multiple heat dissipation sources, and multiple temperature monitoring points at an assembly station, based on the identified heat transfer boundary, including: The heat source located at the heat transfer boundary and closest to the area to be cured is designated as the main heat source of the boundary. The heat source located at the heat transfer boundary and closest to the imaging component is designated as the boundary main heat source; The temperature monitoring point located at the heat transfer boundary and closest to the area to be cured is designated as the representative monitoring point on the boundary heat supply side, and the temperature monitoring point located at the heat transfer boundary and closest to the area adjacent to the imaging component is designated as the representative monitoring point on the boundary receiving side. The representative monitoring points on the boundary heat supply side and the representative monitoring points on the boundary receiving side together constitute the boundary temperature monitoring points.

[0010] Furthermore, this application also proposes that, based on the identified heat transfer boundary, the step of designating the boundary main heat source, the boundary main heat dissipation source, and the boundary temperature monitoring point from multiple heat sources, multiple heat dissipation sources, and multiple temperature monitoring points at the assembly station further includes: All heat sources other than the primary heat source at the boundary are designated as the set of supplementary heat sources.

[0011] Furthermore, this application also proposes that, during the formal curing process, the steps of adjusting the output intensity of the boundary main heat source and the heat dissipation intensity of the boundary main heat source based on temperature change data fed back from boundary temperature monitoring points include: When the temperature at the representative monitoring point on the boundary heating side first reaches the preset lower limit of the curing temperature, the temperature difference between the representative monitoring point on the boundary heating side and the representative monitoring point on the boundary receiving side is recorded as a reference temperature difference. During the formal curing process, the ratio of the real-time temperature difference between the representative monitoring point on the boundary heat supply side and the representative monitoring point on the boundary receiving side to the reference temperature difference is calculated as the temperature difference ratio, and the ratio of the temperature rise rate of the representative monitoring point on the boundary receiving side to the temperature rise rate of the representative monitoring point on the boundary heat supply side is calculated as the temperature rise ratio. If the temperature difference ratio is lower than the first preset threshold, or the temperature rise ratio is higher than the second preset threshold, then the output intensity of the boundary main heat source is reduced, the heat dissipation intensity of the boundary main heat source is increased, and a heat source is selected from the set of supplementary heat sources for supplementary heating.

[0012] Furthermore, this application also proposes steps to reduce the output intensity of the boundary main heat source and increase the heat dissipation intensity of the boundary main heat source, including: Based on the spatial coordinates and local heat transfer characteristic parameters of multiple edge monitoring points to be cured, a heat transfer equivalent model of the lens assembly is constructed. Using the heat transfer equivalent model and combining real-time temperature data from boundary temperature monitoring points, the estimated temperature within the area to be cured is calculated. The equivalent temperature difference is calculated based on real-time temperature data and estimated temperature. Based on the equivalent temperature difference and temperature rise ratio, calculate the output correction amount of the boundary main heat source and the heat dissipation correction amount of the boundary main heat source. Apply the output correction amount to the output intensity of the boundary main heat source and apply the heat dissipation correction amount to the heat dissipation intensity of the boundary main heat source.

[0013] Furthermore, this application also proposes that the formal solidification process includes: When the real-time temperature difference continues to decrease within the preset time window, or when the temperature of the area to be cured reaches the preset upper limit of the curing temperature, the output of the heat source in the main heat source and supplementary heat source set at the boundary is immediately stopped, the main heat source at the boundary is kept working, and the lens assembly is marked as abnormal.

[0014] Furthermore, this application also proposes that the formal solidification process includes: Periodically apply perturbation thermal pulses to multiple edge monitoring points to be cured, and collect the first perturbation temperature response data of multiple edge monitoring points to be cured and the second perturbation temperature response data of monitoring points in the adjacent area of ​​the imaging component; Based on the first initial temperature, the second initial temperature, the first disturbance temperature response data, and the second disturbance temperature response data, the local heat transfer characteristic parameters of the disturbance are calculated. Calculate the deviation between the local heat transfer characteristic parameters of the disturbance and the local heat transfer characteristic parameters. When the deviation exceeds the third preset threshold, it is determined that the heat transfer boundary of the lens assembly has shifted. The heat transfer boundary is re-identified based on the local heat transfer characteristic parameters of the disturbance, and the main heat source, the main heat dissipation source, and the boundary temperature monitoring point are re-assigned based on the re-identified heat transfer boundary.

[0015] Secondly, this application also discloses a camera lens curing collaborative temperature control system, the system comprising: The initial temperature acquisition module is used to acquire the first initial temperature of multiple edge monitoring points to be cured on the lens assembly and the second initial temperature of multiple monitoring points in the adjacent area of ​​the imaging components. The detection response acquisition module is used to apply detection thermal excitation to multiple edge monitoring points to be cured one by one before formal curing, and to acquire the first temperature response data of multiple edge monitoring points to be cured and the second temperature response data of monitoring points in the adjacent area of ​​the imaging component. The heat transfer boundary identification module is used to calculate the local heat transfer characteristic parameters of the lens assembly based on the first initial temperature, the second initial temperature, the first temperature response data and the second temperature response data, and to identify the heat transfer boundary on the lens assembly from the area to be cured to the adjacent area of ​​the imaging component according to the local heat transfer characteristic parameters. The resource partitioning module is used to specify the boundary main heat source, boundary main heat source, and boundary temperature monitoring point from multiple heat sources, multiple heat dissipation sources, and multiple temperature monitoring points on the assembly station based on the identified heat transfer boundary. The curing control module is used to adjust the output intensity of the boundary main heat source and the heat dissipation intensity of the boundary main heat source based on the temperature change data fed back from the boundary temperature monitoring point during the formal curing process. The withdrawal control module is used to perform withdrawal actions after curing is completed, in the order of first reducing the output intensity of the boundary main heat source and then reducing the heat dissipation intensity of the boundary main heat dissipation source.

[0016] Through the above technical solution, this application overcomes the problems in the prior art where individual differences in different assemblies, such as the tightness of pressing, the amount of adhesive coating, and the closeness of the cabling, lead to thermal resistance deviations in the heat transfer path, resulting in abnormal compression due to temperature differences, insufficient curing of the adhesive layer, and thermal damage to the imaging components. This application achieves precise control of heat transfer by adaptively identifying the actual heat transfer boundary of each assembly and dynamically adjusting the collaborative relationship between the heating source, heat dissipation source, and monitoring point accordingly. This not only ensures that the adhesive layer can be fully cured but also effectively protects heat-sensitive components from thermal damage, significantly improving the quality and reliability of the camera lens curing process and addressing the shortcomings of the prior art in lacking adaptive heat transfer boundary identification and dynamic collaborative control methods. Attached Figure Description

[0017] Figure 1 This is a flowchart illustrating a camera lens curing and temperature control method provided in an embodiment of this application.

[0018] Figure 2 This is a schematic diagram of a camera lens curing collaborative temperature control system provided in an embodiment of this application.

[0019] Labeling Explanation: 210 Initial Temperature Acquisition Module; 220 Detection Response Acquisition Module; 230 Heat Transfer Boundary Identification Module; 240 Resource Allocation Module; 250 Solidification Control Module; 260 Withdrawal Control Module. Detailed Implementation

[0020] The technical solutions of this application will now be clearly and completely described with reference to the accompanying drawings. Obviously, the described embodiments are merely some embodiments of this application, and not all embodiments. The components of this application described and shown in the accompanying drawings can generally be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of this application provided in the accompanying drawings is not intended to limit the scope of the claimed application, but merely to illustrate selected embodiments of this application. All other embodiments obtained by those skilled in the art based on the embodiments of this application without inventive effort are within the scope of protection of this application.

[0021] It should be noted that similar reference numerals and letters in the following figures indicate similar items; therefore, once an item is defined in one figure, it does not need to be further defined and explained in subsequent figures. Furthermore, in the description of this application, the terms "first," "second," etc., are used only to distinguish descriptions and should not be construed as indicating or implying relative importance.

[0022] In the local curing process of endoscope camera lens assemblies, a traditional approach involves multi-area heating, local cooling, and multi-point temperature measurement working in tandem to heat and cure the adhesive layer while protecting heat-sensitive components such as the imaging chip and cable connection areas. However, in actual mass production, individual differences between assemblies, such as the tightness of the mounting base and housing, the amount of adhesive applied, and the proximity of the cables, can cause a shift in the actual heat transfer path thermal resistance from the adhesive layer to the area adjacent to the imaging component. When the thermal resistance of a particular assembly is low, the heating and cooling system, operating at fixed positions and intensities, cannot adapt to this internal change, easily leading to abnormal compression of the temperature difference between the outer edge of the adhesive layer and the area adjacent to the imaging component—that is, the imaging component side heats up too quickly. This phenomenon results in insufficient curing of the adhesive layer, and at the same time, the imaging component is difficult to reliably protect from heat damage. Existing technologies lack a control method that can adaptively identify the actual heat transfer boundary of each assembly and dynamically adjust the coordination relationship between the heating source, heat dissipation source and monitoring point accordingly to solve the problem of abnormal heat transfer caused by individual differences, and ensure that the adhesive layer is fully cured and effectively protects heat-sensitive components.

[0023] Regarding this, firstly, see... Figure 1 This application proposes a method for coordinated temperature control during camera lens curing, comprising: S1. Obtain the first initial temperature of multiple edge monitoring points to be cured on the lens assembly and the second initial temperature of multiple monitoring points in the adjacent area of ​​the imaging components; S2. Before formal curing, apply thermal excitation to each of the multiple edge monitoring points to be cured, and collect the first temperature response data of the multiple edge monitoring points to be cured and the second temperature response data of the monitoring points in the adjacent area of ​​the imaging component. S3. Calculate the local heat transfer characteristic parameters of the lens assembly based on the first initial temperature, the second initial temperature, the first temperature response data and the second temperature response data, and identify the heat transfer boundary on the lens assembly from the area to be cured to the adjacent area of ​​the imaging component according to the local heat transfer characteristic parameters. S4. Based on the identified heat transfer boundary, specify the boundary main heat source, boundary main heat source, and boundary temperature monitoring point from multiple heat sources, multiple heat sources, and multiple temperature monitoring points on the assembly station. S5. During the formal curing process, based on the temperature change data fed back from the boundary temperature monitoring points, adjust the output intensity of the boundary main heat source and the heat dissipation intensity of the boundary main heat dissipation source. S6. After curing is completed, perform the withdrawal action in the order of first reducing the output intensity of the main heat source at the boundary and then reducing the heat dissipation intensity of the main heat source at the boundary.

[0024] The lens assembly refers to the overall structure including components such as the lens, imaging chip, and ribbon cable. The edge monitoring point to be cured refers to the point located at the edge of the adhesive layer area, which needs to be cured and its temperature monitored. The monitoring point in the adjacent area of ​​the imaging component refers to the area near heat-sensitive components such as the imaging chip and ribbon cable, where temperature changes directly affect the safety of these components.

[0025] In one embodiment, based on the actual coating trajectory of the adhesive layer on the lens assembly, the outer edge contour of the adhesive layer is divided into several segments along the circumference, with the center of each segment serving as a candidate monitoring location. The number of segments is set according to the perimeter of the adhesive layer and the required monitoring resolution, typically 4 to 8. Using the static position correspondence table of the workstation, each candidate monitoring location is associated with the spatially nearest heating execution object. If the heating execution object corresponding to a candidate monitoring location has independent control capabilities, that location is retained as the edge monitoring point to be cured. Candidate locations obscured by fixtures or located in the shadow area of ​​the assembly structure are excluded. The remaining candidate locations after screening are the finally determined edge monitoring points to be cured. Each monitoring point uses a contact thermocouple or a non-contact infrared sensor to collect temperature data.

[0026] Based on the internal structural drawings of the lens assembly, the outer surface of the imaging chip's package shell, the solder joint area connecting the ribbon cable and the chip, and the copper foil trace area on the flexible circuit board near the adhesive layer are defined as heat-sensitive areas, i.e., the areas adjacent to the imaging components. One or more temperature monitoring points are placed on the outer surface of each imaging component's adjacent area—that is, the side facing the outside of the assembly or the shell surface immediately adjacent to that area—preferably at locations closest to the heat transfer boundary and not directly impacted by the cooling airflow. Each monitoring point in the adjacent area of ​​the imaging component is associated with the spatially nearest cooling object, such as a cooling nozzle or a contact cooling pad, and recorded in a static location correspondence table. If a sensitive area is large, multiple monitoring points can be added, and their average temperature is taken as the representative temperature of that area. For common end-face light-emitting endoscopes, the monitoring points in the adjacent area of ​​the imaging components are typically located in the annular gap between the rear end of the lens mount and the front end of the imaging chip, the inner wall of the shell outside the ribbon cable bending area, and the thermally weak areas near the clamping points.

[0027] Specifically, probing thermal excitation refers to a brief, controlled input of heat applied to a specific area before formal curing to probe the thermal response characteristics of the material. Local heat transfer parameters are physical quantities describing the efficiency and path of heat transfer within the lens assembly, such as the cross-boundary heat transfer coefficient and heat transfer delay. The heat transfer boundary refers to the critical interface or path through which heat is transferred from the area to be cured to the adjacent area of ​​the imaging component. A heat source is a device that provides heat to promote adhesive layer curing, such as a heater. A heat dissipation source is a device used to remove heat to protect heat-sensitive components, such as a cooling fan or heat sink. A temperature monitoring point is a sensor used to measure temperature in real time.

[0028] In practical implementation, the first initial temperature of multiple edge monitoring points on the lens assembly to be cured and the second initial temperature of multiple monitoring points in the adjacent area of ​​the imaging components are first obtained. This can be achieved by using multiple temperature sensors, such as thermocouples or infrared thermometers, to measure the temperature of preset monitoring points on the lens assembly before curing. For example, multiple first temperature sensors can be evenly arranged on the outer edge of the adhesive layer to obtain the first initial temperature; simultaneously, multiple second temperature sensors can be arranged near the imaging chip or ribbon cable to obtain the second initial temperature.

[0029] Before formal curing, the thermal excitation can be applied by briefly applying a thermal pulse of preset power and duration near each monitoring point on the edge to be cured using a local heater. While applying the thermal excitation, the temperature changes of all monitoring points on the edge to be cured and the monitoring points in the adjacent area of ​​the imaging component are continuously recorded, forming first temperature response data and second temperature response data.

[0030] Identifying the heat transfer boundary from the area to be cured to the adjacent area of ​​the imaging component on the lens assembly based on local heat transfer characteristic parameters refers to determining the most sensitive and critical path or area for heat transfer based on calculated local heat transfer characteristic parameters. This can be achieved using threshold judgment, gradient analysis, or machine learning algorithms. For example, the side of the monitoring point at the edge to be cured, corresponding to the largest cross-boundary heat transfer coefficient and the smallest heat transfer delay, can be identified as the main direction of heat transfer, and the heat transfer interface between the area to be cured and the adjacent area of ​​the imaging component in this direction can be identified as the heat transfer boundary.

[0031] Specifically, based on the identified heat transfer boundary, the boundary main heat source, boundary main heat source, and boundary temperature monitoring point are designated from multiple heat sources, multiple heat dissipation sources, and multiple temperature monitoring points on the assembly station. This can be achieved using an algorithm based on position matching and distance optimization. For example, the heat source located on the heat transfer boundary and closest to the area to be cured is designated as the boundary main heat source, and the heat dissipation source located on the heat transfer boundary and closest to the area adjacent to the imaging component is designated as the boundary main heat dissipation source.

[0032] Meanwhile, the temperature monitoring point located at the heat transfer boundary and closest to the area to be cured is designated as the representative monitoring point on the boundary heat supply side, and the temperature monitoring point located at the heat transfer boundary and closest to the area adjacent to the imaging component is designated as the representative monitoring point on the boundary receiving side. Together, they constitute the boundary temperature monitoring point, which can avoid the shortcomings of the traditional fixed configuration and ensure accurate action on the heat transfer boundary.

[0033] During the curing process, the power of the heating source and the heat dissipation source is dynamically adjusted based on the real-time temperature data fed back from the boundary temperature monitoring points. Specifically, PID control, fuzzy control, or adaptive control algorithms can be used to achieve this. For example, when the boundary heating side representative monitoring point detects that the temperature has reached the preset lower limit of the curing temperature for the first time, the temperature difference between the boundary heating side representative monitoring point and the boundary receiving side representative monitoring point at this time is recorded as the reference temperature difference.

[0034] During the curing process, the ratio of the real-time temperature difference to the reference temperature difference is calculated as the temperature difference ratio, and the ratio of the temperature rise rate of the monitoring point represented by the boundary receiving side to the temperature rise rate of the monitoring point represented by the boundary heat supply side is calculated as the temperature rise ratio. If the temperature difference ratio is lower than a first preset threshold, or the temperature rise ratio is higher than a second preset threshold, the output intensity of the boundary main heat supply source is reduced, the heat dissipation intensity of the boundary main heat dissipation source is increased, and a heat supply source is selected from the set of supplementary heat sources for supplementary heating.

[0035] After curing, heating and cooling are gradually stopped in an orderly manner. This can be achieved by using a preset time sequence control or a control strategy based on the rate of temperature drop. For example, the power of the boundary main heat source is gradually reduced first, and after its output intensity drops to a preset value or stops completely, the heat dissipation intensity of the boundary main heat source is gradually reduced.

[0036] In a preferred embodiment, on a camera lens curing production line, firstly, before curing, a high-precision thermocouple array is used to measure the first initial temperature of 10 monitoring points P1-P10 on the edge of the adhesive layer to be cured, and the second initial temperature of 5 monitoring points C1-C5 in the vicinity of the imaging chip. For example, the initial temperature of P1 is 25.1°C and the initial temperature of C1 is 24.9°C.

[0037] Next, before the formal curing begins, a 1W thermal excitation is applied to each monitoring point P1-P10 for 5 seconds at a time using a miniature laser heater. Simultaneously, the first temperature response data for P1-P10 and the second temperature response data for C1-C5 are collected in real time at a sampling frequency of 10Hz. For example, when P1 is excited, its temperature rises from 25.1℃ to 35.0℃, and the temperature of C1 rises from 24.9℃ to 26.5℃.

[0038] Specifically, the detection temperature rise rate of each monitoring point at the edge to be cured is calculated; for example, the detection temperature rise rate of P1 is 1.98℃ / s. The following temperature rise rate of each monitoring point in the adjacent area of ​​the imaging component is also calculated; for example, the following temperature rise rate of C1 is 0.32℃ / s. The ratio of the following temperature rise rate to the detection temperature rise rate is calculated as the cross-boundary heat transfer coefficient; for example, the cross-boundary heat transfer coefficient from P1 to C1 is 0.16.

[0039] Simultaneously, the time difference between the moment when the monitoring point at the edge to be cured first reaches 30℃ and the moment when the monitoring point in the adjacent area of ​​the imaging component first reaches 26℃ is calculated as the heat transfer delay. For example, the heat transfer delay from P1 to C1 is 2 seconds. These cross-boundary heat transfer coefficients and heat transfer delays are stored as local heat transfer characteristic parameters. Through analysis, it was found that the cross-boundary heat transfer coefficient from P3 to C2 is the largest at 0.25, and the heat transfer delay is the smallest at 1.5 seconds. Therefore, the side where P3 is located is determined as the main direction of heat transfer, and the heat transfer interface between P3 and C2 is identified as the heat transfer boundary.

[0040] Subsequently, based on the identified heat transfer boundaries, heating, cooling, and monitoring resources are dynamically assigned. For example, the assembly station is configured with multiple heat sources H1-H8, multiple heat dissipation sources R1-R4, and multiple temperature monitoring points T1-T15. The heat source H3, located on the heat transfer boundary and closest to P3, is designated as the main heat source for the boundary. The heat dissipation source R2, located on the heat transfer boundary and closest to C2, is designated as the main heat dissipation source for the boundary. The temperature monitoring point T5, located on the heat transfer boundary and closest to P3, is designated as the representative monitoring point on the heat-supply side of the boundary, and the temperature monitoring point T9, located on the heat transfer boundary and closest to C2, is designated as the representative monitoring point on the receiving side of the boundary. Together, these constitute the boundary temperature monitoring points. Simultaneously, all heat sources except H3 are designated as a set of supplementary heat sources.

[0041] During the formal curing process, the output intensity of H3 and R2 is adjusted in real time based on the temperature change data fed back by T5 and T9. When T5 detects that the temperature first reaches the preset curing temperature lower limit, for example, 80℃, the temperature difference between T5 and T9 is recorded at this time. For example, if T5 is 80℃ and T9 is 60℃, the reference temperature difference is 20℃. During the curing process, the temperature difference ratio and temperature rise ratio between T5 and T9 are calculated in real time. If the temperature difference ratio is lower than the first preset threshold of 0.8, or the temperature rise ratio is higher than the second preset threshold of 0.9, the output intensity of H3 is reduced, the heat dissipation intensity of R2 is increased, and H1 is selected from the set of heat sources for heat supplementation.

[0042] Finally, after curing, perform the withdrawal action in the following order: first reduce the output intensity of H3, then reduce the heat dissipation intensity of R2. For example, first reduce the power of H3 linearly from 10W to 0W within 30 seconds, then wait 10 seconds, and then reduce the heat dissipation power of R2 linearly from 5W to 0W within 20 seconds.

[0043] Furthermore, the step of calculating the local heat transfer characteristic parameters of the lens assembly based on the first initial temperature, the second initial temperature, the first temperature response data, and the second temperature response data includes: The detection temperature rise rate is calculated based on the first initial temperature and first temperature response data of each monitoring point at the edge to be cured. The following temperature rise rate is calculated based on the second initial temperature and second temperature response data of the monitoring points in the vicinity of each imaging component; The ratio of the following temperature rise rate to the detected temperature rise rate is calculated and used as the cross-boundary heat transfer coefficient for each monitoring point on the edge to be cured to transfer heat to the monitoring points in the adjacent area of ​​the imaging component. The time difference between the moment when the monitoring point at the edge to be cured first reaches the preset temperature and the moment when the monitoring point in the adjacent area of ​​the imaging component reaches the preset temperature earliest is calculated as the heat transfer delay. The cross-boundary heat transfer coefficient and heat transfer delay are stored as local heat transfer characteristic parameters.

[0044] The temperature rise rate refers to the rate at which the area to be cured heats up under thermal excitation. Specifically, it can be selected from a key time point in the first temperature response data, such as the temperature value at the end of the response process or the temperature value at the end of a preset monitoring period, denoted as T1_final. Then, the time interval from recording the first initial temperature to reaching T1_final is determined and denoted as Δt1. The temperature rise rate can be calculated as: Temperature rise rate = (T1_final - T1_initial) / Δt1. If the first temperature response data is continuous or has a high sampling frequency, the average temperature rise rate can be represented by fitting the temperature response curve, such as a linear fit; or the temperature rise rate between consecutive time points in the response data can be calculated, and then the average, maximum, or instantaneous rate within a specific time period can be taken.

[0045] The temperature rise rate refers to the response speed of the heat-sensitive area to heat transfer, which can be calculated using the method described above for calculating the temperature rise rate.

[0046] The cross-boundary heat transfer coefficient refers to the efficiency of heat transfer from the area to be cured to the area adjacent to the imaging component. Specifically, it can be calculated as the ratio of the following temperature rise rate to the detection temperature rise rate. The higher this ratio, the higher the heat transfer efficiency, and the easier it is for heat to be transferred from the area to be cured to the area adjacent to the imaging component.

[0047] The heat transfer delay refers to the time required for heat to transfer from the area to be cured to the adjacent area of ​​the imaging component. Specifically, it can be calculated as the time difference between the moment when the edge monitoring point to be cured first reaches the preset temperature and the moment when the earliest monitoring point in the adjacent area of ​​the imaging component reaches the preset temperature. The preset temperature can be set according to actual process requirements, such as the lower limit of the curing temperature or a specific threshold. The shorter the delay, the faster the heat transfer speed.

[0048] Among them, local heat transfer characteristic parameters refer to the quantitative basis used to describe the internal heat transfer characteristics of the lens assembly. Specifically, this can be achieved by storing the calculated cross-boundary heat transfer coefficient and heat transfer delay. These parameters together constitute a comprehensive description of the heat transfer characteristics, providing a quantitative basis for subsequent identification of heat transfer boundaries.

[0049] Furthermore, the step of identifying the heat transfer boundary on the lens assembly from the area to be cured to the adjacent area of ​​the imaging component based on local heat transfer characteristic parameters includes: The side where the monitoring point of the edge to be cured is located, which corresponds to the largest cross-boundary heat transfer coefficient and the smallest heat transfer delay, is determined as the main direction of heat transfer from the area to be cured to the adjacent area of ​​the imaging component. The heat transfer interface between the area to be cured in the main direction and the area adjacent to the imaging component is identified as the heat transfer boundary.

[0050] The cross-boundary heat transfer coefficient reflects the efficiency of heat transfer from the area to be cured to the adjacent area of ​​the imaging component. The heat transfer delay refers to the time difference between the moment when the edge monitoring point to be cured first reaches the preset temperature and the moment when the monitoring point in the adjacent area of ​​the imaging component first reaches the preset temperature; it characterizes the time required for heat to transfer from the area to be cured to the adjacent area of ​​the imaging component. The side of the edge monitoring point to be cured, corresponding to the largest cross-boundary heat transfer coefficient and the smallest heat transfer delay, is identified as the main direction of heat transfer from the area to be cured to the adjacent area of ​​the imaging component. This means that the direction of easiest and fastest heat transfer is identified. For example, if, after applying thermal excitation, the monitoring point in the adjacent area of ​​the imaging component at a certain edge monitoring point to be cured experiences the fastest temperature rise and the largest temperature increase, then the side of that monitoring point is considered the main heat transfer direction.

[0051] In a preferred embodiment, the lens assembly to be cured includes a region of adhesive layer to be cured and an adjacent imaging chip region. Eight edge monitoring points T1-T8 are evenly arranged at the edge of the adhesive layer, and four adjacent monitoring points C1-C4 are arranged in the imaging chip region.

[0052] Before formal curing, the initial temperature of all monitoring points is first obtained. Then, a detection thermal excitation with a power of 10W is applied to monitoring point T1 for 5 seconds. At the same time, the first temperature response data of T1 and the second temperature response data of C1-C4 are collected. After T1 cools down to the initial temperature, the above detection thermal excitation and data acquisition process is repeated for monitoring points T2 to T8 in sequence.

[0053] Based on the collected data, the local heat transfer characteristic parameters corresponding to each monitoring point at the edge to be cured are calculated. For example, for T1, its detected temperature rise rate and the following temperature rise rate of C1-C4 are calculated, and the ratio of the following temperature rise rate of C1-C4 to the detected temperature rise rate of T1 is used as the cross-boundary heat transfer coefficient. At the same time, the moment when T1 first reaches 35℃ and the moment when the earliest monitoring point among C1-C4 reaches 35℃ are recorded, and the time difference between the two is calculated as the heat transfer delay. These cross-boundary heat transfer coefficients and heat transfer delays are stored.

[0054] Among all the monitoring points at the edge to be cured, by comparing the calculated local heat transfer characteristic parameters, it was found that the cross-boundary heat transfer coefficient corresponding to monitoring point T3 was the largest, reaching 0.85, and the heat transfer delay was the smallest, for example, 2 seconds. Monitoring point T3 is located at the lower right of the area to be cured. Therefore, the side where T3 is located, that is, the lower right area of ​​the lens assembly, is determined as the main direction of heat transfer from the area to be cured to the adjacent area of ​​the imaging component.

[0055] Next, the physical contact surface between the area to be cured adhesive layer and the imaging chip area in the main direction is identified as the heat transfer boundary. For example, if T3 is located at the junction of the adhesive layer and the imaging chip, then the junction is accurately identified as the heat transfer boundary.

[0056] Furthermore, based on the identified heat transfer boundary, the steps of designating the boundary main heat source, boundary main heat dissipation source, and boundary temperature monitoring point from multiple heat sources, multiple heat dissipation sources, and multiple temperature monitoring points at the assembly station include: The heat source located at the heat transfer boundary and closest to the area to be cured is designated as the main heat source of the boundary. The heat source located at the heat transfer boundary and closest to the imaging component is designated as the boundary main heat source; The temperature monitoring point located at the heat transfer boundary and closest to the area to be cured is designated as the representative monitoring point on the boundary heat supply side, and the temperature monitoring point located at the heat transfer boundary and closest to the area adjacent to the imaging component is designated as the representative monitoring point on the boundary receiving side. The representative monitoring points on the boundary heat supply side and the representative monitoring points on the boundary receiving side together constitute the boundary temperature monitoring points.

[0057] Among them, by using a preset sensor array or image recognition technology, the heat transfer boundary on the lens assembly is accurately identified from the area to be cured to the area adjacent to the imaging component. The heat transfer boundary can be a geometric boundary or a thermal boundary. At the assembly station, multiple heat sources are pre-arranged, such as laser heaters, hot air guns, infrared heating lamps, etc.

[0058] By calculating the distance between each heat source and the area to be cured, the nearest heat source is selected as the primary heat source for the boundary. For example, if the area to be cured is an annular adhesive layer, and the heat transfer boundary is the side of the annular adhesive layer closest to the imaging component, then the heat source located on that boundary and closest to the center of the adhesive layer will be designated as the primary heat source.

[0059] After identifying the heat transfer boundary, among multiple heat dissipation sources pre-arranged at the assembly station, such as air-cooled devices, liquid-cooled devices, or thermoelectric coolers, the heat dissipation source located on the heat transfer boundary and closest to the imaging component is selected as the primary heat dissipation source for the boundary. For example, if the area adjacent to the imaging component is the chip surface and the heat transfer boundary is the chip edge, then the heat dissipation source located at the chip edge and closest to the chip will be designated as the primary heat dissipation source.

[0060] Specifically, multiple temperature monitoring points, such as thermocouples, infrared thermometers, or thermistors, are pre-positioned at the assembly station. After identifying the heat transfer boundary, the temperature monitoring point located on the heat transfer boundary and closest to the area to be cured is selected as the representative monitoring point on the heat-dissipating side of the boundary. Simultaneously, the temperature monitoring point located on the heat transfer boundary and closest to the area adjacent to the imaging component is selected as the representative monitoring point on the receiving side of the boundary. These two monitoring points together constitute the boundary temperature monitoring points, used to monitor temperature changes on both sides of the heat transfer boundary in real time. For example, if the area to be cured is an adhesive layer and the area adjacent to the imaging component is a chip, then one monitoring point can be placed at the edge of the adhesive layer, and the other monitoring point can be placed at the edge of the chip, with both monitoring the temperature conditions of the heat transfer boundary together.

[0061] Furthermore, based on the identified heat transfer boundary, the step of designating the boundary main heat source, the boundary main heat dissipation source, and the boundary temperature monitoring point from multiple heat sources, multiple heat dissipation sources, and multiple temperature monitoring points at the assembly station also includes: All heat sources other than the primary heat source at the boundary are designated as the set of supplementary heat sources.

[0062] Specifically, the supplementary heat source set refers to all heat sources at the assembly station other than those designated as the primary boundary heat sources. During the curing process, these sources can serve as auxiliary heating units to supplement the heating of other areas of the lens assembly under specific conditions, ensuring the uniformity of the overall temperature field or providing a rapid response to local temperature changes. For example, when the output intensity of the primary boundary heat source decreases due to boundary temperature control requirements, the heat sources in the supplementary heat source set can be activated to maintain the overall temperature level of the area to be cured, preventing insufficient overall heating due to boundary control.

[0063] This application designates heat sources other than the main heat source at the boundary as a set of supplementary heat sources. This allows for more comprehensive temperature protection of the entire area to be cured during the formal curing process, in addition to precise control of the heat transfer boundary. This avoids insufficient heating or uneven temperature caused by boundary control, and enables more flexible and effective overall temperature control of the area to be cured while protecting sensitive imaging components.

[0064] Furthermore, the steps for adjusting the output intensity of the main heat source and the heat dissipation intensity of the main heat source at the boundary, based on the temperature change data fed back from the boundary temperature monitoring points, include: When the temperature at the representative monitoring point on the boundary heating side first reaches the preset lower limit of the curing temperature, the temperature difference between the representative monitoring point on the boundary heating side and the representative monitoring point on the boundary receiving side is recorded as a reference temperature difference. During the formal curing process, the ratio of the real-time temperature difference between the representative monitoring point on the boundary heat supply side and the representative monitoring point on the boundary receiving side to the reference temperature difference is calculated as the temperature difference ratio, and the ratio of the temperature rise rate of the representative monitoring point on the boundary receiving side to the temperature rise rate of the representative monitoring point on the boundary heat supply side is calculated as the temperature rise ratio. If the temperature difference ratio is lower than the first preset threshold, or the temperature rise ratio is higher than the second preset threshold, then the output intensity of the boundary main heat source is reduced, the heat dissipation intensity of the boundary main heat source is increased, and a heat source is selected from the set of supplementary heat sources for supplementary heating.

[0065] Specifically, the lower limit of the curing temperature refers to the lowest temperature at which the cured adhesive can begin to react effectively. Its setting is intended to initiate the curing process. When the boundary heating side, representing the monitoring point, first reaches this temperature, the recorded reference temperature difference is a baseline temperature gradient between the cured area and the adjacent area of ​​the imaging component at any given time, which is used for subsequent dynamic evaluation of the balance of heat transfer.

[0066] In this context, real-time temperature difference can be understood as the temperature difference measured in real time between the monitoring point on the boundary heat supply side and the monitoring point on the boundary receiving side during the formal curing process. The temperature difference ratio is the ratio of the real-time temperature difference to the reference temperature difference, reflecting the change in heat transfer efficiency relative to the initial curing stage. The temperature rise rate refers to the amount of temperature change per unit time; the temperature rise ratio represents the relative relationship between the heating rate of the area adjacent to the imaging component and the heating rate of the area to be cured, aiming to assess the risk of heat transfer to sensitive areas.

[0067] In practical applications, when the temperature difference ratio is lower than the first preset threshold, it indicates that the temperature gradient between the curing area and the area adjacent to the imaging component is too small, which may mean that heat is being transferred to the area adjacent to the imaging component too much or too fast, resulting in an excessively high temperature in the area. When the temperature rise ratio is higher than the second preset threshold, it directly indicates that the heating rate of the area adjacent to the imaging component is too fast, and there is a risk of thermal damage.

[0068] In both cases, measures are needed to protect the imaging components. Specifically, reducing the output intensity of the primary heat source at the boundary can decrease the total heat entering the area to be cured; simultaneously, increasing the heat dissipation intensity of the primary heat source at the boundary can more effectively remove heat from the area adjacent to the imaging components. Furthermore, selecting a heat source from the supplementary heat source set for supplementary heating can maintain the overall temperature of the area to be cured while reducing the intensity of the primary heat source at the boundary, ensuring the continuous progress of the curing process and preventing localized cooling from affecting the curing quality.

[0069] By introducing temperature difference ratio and temperature rise ratio as the basis for dynamic adjustment, the heat transfer status and trend between the area to be cured and the adjacent area of ​​the imaging component can be evaluated in real time and accurately. This allows for timely detection and response to potential local overheating risks or uneven curing tendencies.

[0070] In some preferred embodiments, the reference temperature difference between the boundary heat-supplying side representative monitoring point and the boundary receiving side representative monitoring point is recorded as 10°C. At a certain stage of formal curing, the temperature of the boundary heat-supplying side representative monitoring point is monitored as 80°C, and the temperature of the boundary receiving side representative monitoring point is monitored as 75°C. At this time, the real-time temperature difference is 5°C, and the calculated temperature difference ratio is 5°C / 10°C = 0.5.

[0071] If the first preset threshold is set to 0.6, then the temperature difference ratio of 0.5 is lower than the first preset threshold of 0.6, indicating that heat may be excessively transferred to the area adjacent to the imaging component. Simultaneously, assuming the temperature rise rate at the monitoring point on the boundary heat-supply side is 0.5℃ / second and the temperature rise rate at the monitoring point on the boundary receiving side is 0.4℃ / second, then the temperature rise ratio is 0.4 / 0.5 = 0.8. If the second preset threshold is set to 0.7, then the temperature rise ratio of 0.8 is higher than the second preset threshold of 0.7, further confirming the risk of excessively rapid temperature rise in the area adjacent to the imaging component.

[0072] Based on these judgments, the following actions will be taken immediately: reduce the output intensity of the main boundary heat source, for example, by reducing its power output by 10%; at the same time, increase the heat dissipation intensity of the main boundary heat source, for example, by increasing its fan speed by 20%; and select one or more heat sources from the set of supplementary heat sources, such as heat sources located on other sides of the area to be cured, to perform small-scale supplementary heating in order to maintain the overall temperature of the area to be cured, ensure the smooth progress of the curing process, and effectively protect the imaging components from thermal damage.

[0073] Furthermore, the steps to reduce the output intensity of the boundary main heat source and increase the heat dissipation intensity of the boundary main heat source include: Based on the spatial coordinates and local heat transfer characteristic parameters of multiple edge monitoring points to be cured, a heat transfer equivalent model of the lens assembly is constructed. Using the heat transfer equivalent model and combining real-time temperature data from boundary temperature monitoring points, the estimated temperature within the area to be cured is calculated. The equivalent temperature difference is calculated based on real-time temperature data and estimated temperature. Based on the equivalent temperature difference and temperature rise ratio, calculate the output correction amount of the boundary main heat source and the heat dissipation correction amount of the boundary main heat source. Apply the output correction amount to the output intensity of the boundary main heat source and apply the heat dissipation correction amount to the heat dissipation intensity of the boundary main heat source.

[0074] Constructing a heat transfer equivalent model for the lens assembly refers to establishing a mathematical model that can simulate the heat transfer process within the lens assembly. This can be achieved using finite element analysis, lumped parameter models, or neural network models. For example, a finite element model can divide the lens assembly into multiple tiny units, and the overall heat distribution can be simulated by solving the heat transfer equations for each unit.

[0075] By using an established heat transfer model and inputting real-time temperature data from boundary temperature monitoring points, the temperature distribution inside the region to be cured can be calculated in reverse. This can be achieved using methods such as reverse heat transfer algorithms, Kalman filtering, or particle filtering. For example, the reverse heat transfer algorithm uses iterative calculations to match the boundary temperature output by the model with the actual monitored boundary temperature, thereby obtaining the internal temperature of the region to be cured.

[0076] By comparing the real-time readings of the boundary temperature monitoring points with the temperature of the area to be cured calculated by the model, a comprehensive value reflecting the heat transfer status and temperature control deviation is obtained. This can be achieved using methods such as weighted average, maximum deviation, or root mean square error. For example, the equivalent temperature difference can be defined as the difference between the temperature of the representative monitoring point on the boundary heat-supplying side and the estimated temperature, or the difference between the temperature of the representative monitoring point on the boundary receiving side and the estimated temperature, or it can be the weighted average difference between the temperatures of multiple monitoring points and their corresponding estimated temperatures.

[0077] Based on the two parameters of equivalent temperature difference and temperature rise ratio, the output intensity that needs to be adjusted for the boundary main heat source and boundary main heat dissipation source can be determined. This can be achieved using PID control algorithms, fuzzy control algorithms, or adaptive control algorithms. For example, when the equivalent temperature difference is large and the temperature rise ratio is too high, the PID controller will calculate the corresponding correction amount based on the proportional, integral, and derivative terms to reduce the output intensity of the main heat source and increase the heat dissipation intensity of the main heat dissipation source.

[0078] Furthermore, the real-time temperature data from the boundary temperature monitoring points is used as input to the model. The model calculates the temperature distribution at various points within the area to be cured, thus obtaining a more comprehensive and accurate temperature estimate for the area to be cured. The real-time temperature data measured by the boundary temperature monitoring points is compared with the estimated temperature within the area to be cured calculated using the heat transfer equivalent model. This yields an equivalent temperature difference reflecting the difference between the actual temperature and the model-predicted temperature, characterizing the degree of deviation between the current heat transfer state and the ideal state.

[0079] Finally, based on the equivalent temperature difference and temperature rise ratio, the output correction amount of the boundary main heat source and the heat dissipation correction amount of the boundary main heat source are calculated and applied to the corresponding output intensity respectively. For example, the output amount that the boundary main heat source needs to reduce and the heat dissipation amount that the boundary main heat source needs to increase can be accurately calculated by preset control algorithms such as PID control and fuzzy control. These correction amounts are then applied to their respective output intensities to achieve fine-grained coordinated temperature control.

[0080] By constructing an equivalent heat transfer model, calculating and estimating the temperature, and calculating the equivalent temperature difference, and combining it with the temperature rise ratio, a refined correction of the output intensity of the boundary main heat source and the boundary main heat dissipation source is achieved. This upgrades temperature control from simple threshold-triggered adjustment to adaptive control based on model prediction and real-time feedback. This solves the problem that simply reducing the output intensity of the boundary main heat source and increasing the heat dissipation intensity of the boundary main heat dissipation source may not be able to accurately control the temperature of the area to be cured, nor can it fully utilize the set of supplementary heat sources for refined heat supplementation. It can more accurately control the temperature of the area to be cured, avoid abnormal compression of the temperature difference between the outer edge of the adhesive layer and the adjacent area of ​​the imaging component, ensure the full curing of the adhesive layer, and protect the heat-sensitive imaging component.

[0081] In some preferred embodiments, it is assumed that during the camera lens curing process, the boundary heating side, representing the monitoring point, detects that the temperature first reaches the preset curing temperature lower limit and records the reference temperature difference. During the actual curing process, if the detected temperature difference ratio is lower than a first preset threshold, such as 0.8, or the temperature rise ratio is higher than a second preset threshold, such as 1.2, it indicates that heat may be excessively transferred to the area adjacent to the imaging component, or the temperature of the area to be cured is rising too quickly.

[0082] At this point, based on the pre-built equivalent heat transfer model of the lens assembly and combined with real-time temperature data from boundary temperature monitoring points, the estimated temperature within the curing area is calculated. For example, if the model estimates that the temperature at a certain point in the curing area is close to the upper limit of the curing temperature, while the temperature at the monitoring point on the boundary receiving side shows a significant upward trend, the equivalent temperature difference between the real-time temperature data and the estimated temperature is calculated. Assuming the equivalent temperature difference indicates that the actual temperature is higher than the estimated temperature, and the temperature rise ratio indicates a high risk of heat transfer, the output correction of the boundary main heat source (e.g., reducing power by 5%) and the heat dissipation correction of the boundary main heat dissipation source (e.g., increasing heat dissipation airflow by 10%) are calculated and then applied to the corresponding heat source and heat dissipation source, thereby achieving precise temperature coordination control.

[0083] Furthermore, the formal solidification process includes: When the real-time temperature difference continues to decrease within the preset time window, or when the temperature of the area to be cured reaches the preset upper limit of the curing temperature, the output of the heat source in the main heat source and supplementary heat source set at the boundary is immediately stopped, the main heat source at the boundary is kept working, and the lens assembly is marked as abnormal.

[0084] Specifically, during the curing process, the real-time temperature difference between the monitoring point on the boundary heat supply side and the monitoring point on the boundary receiving side shows a continuous decreasing trend over a preset duration. This continuously decreasing temperature difference may indicate that the heat transfer efficiency from the area to be cured to the adjacent area of ​​the imaging component is abnormally high, or that the heat input to the area to be cured is insufficient, which may cause the temperature of the curing area to be lower than expected, thereby affecting the curing quality.

[0085] When any of the above-mentioned abnormal conditions are detected, the output of the main heat source and the supplementary heat source set at the boundary will be immediately stopped to prevent the temperature from rising further or to avoid further heat loss. At the same time, the main heat source at the boundary will remain operational to ensure the heat dissipation mechanism continues to run, so as to reduce the temperature of the area to be cured as quickly as possible and prevent heat accumulation.

[0086] This application effectively overcomes the limitations of relying solely on dynamically adjusting the output intensity of heat and heat sources by introducing a real-time monitoring and anomaly detection mechanism for key temperature parameters. When the real-time temperature difference continues to decrease or the temperature of the area to be cured reaches its upper limit, it indicates that conventional collaborative control strategies may no longer be able to effectively maintain the target temperature range, or there may be a potential risk of overheating. By immediately stopping heating and maintaining heat dissipation, heat input can be quickly cut off and heat removal accelerated, thereby avoiding damage to the lens assembly due to temperature runaway. Furthermore, marking the assembly as abnormal ensures the identification and isolation of potentially defective products, thus guaranteeing product quality and production efficiency.

[0087] In some preferred embodiments, it is assumed that during the camera lens curing process, the real-time temperature difference between the boundary heating-side representative monitoring point and the boundary receiving-side representative monitoring point, as well as the temperature of the boundary heating-side representative monitoring point, are continuously monitored. Specifically, if the real-time temperature difference is detected to continuously decrease for 5 seconds, and the decrease exceeds a preset threshold, for example, a decrease of 0.5°C per second, it is determined to be an abnormal temperature decrease. Alternatively, if the temperature of the boundary heating-side representative monitoring point suddenly rises and reaches the preset curing temperature upper limit of 120°C, it is determined to be an overheating anomaly. Once any of the above anomalies are detected, the following operations are immediately performed: First, the power supply to the boundary main heat source and all heat sources in the supplementary heat source set is cut off to stop heating; second, the boundary main heat source is kept running at maximum power to accelerate heat dissipation; finally, the lens assembly currently being cured is marked as abnormally cured, and an alarm is triggered to notify the operator to inspect and handle the situation.

[0088] Furthermore, the formal solidification process also includes: Periodically apply perturbation thermal pulses to multiple edge monitoring points to be cured, and collect the first perturbation temperature response data of multiple edge monitoring points to be cured and the second perturbation temperature response data of monitoring points in the adjacent area of ​​the imaging component; Based on the first initial temperature, the second initial temperature, the first disturbance temperature response data, and the second disturbance temperature response data, the local heat transfer characteristic parameters of the disturbance are calculated. Calculate the deviation between the local heat transfer characteristic parameters of the disturbance and the local heat transfer characteristic parameters. When the deviation exceeds the third preset threshold, it is determined that the heat transfer boundary of the lens assembly has shifted. The heat transfer boundary is re-identified based on the local heat transfer characteristic parameters of the disturbance, and the main heat source, the main heat dissipation source, and the boundary temperature monitoring point are re-assigned based on the re-identified heat transfer boundary.

[0089] Specifically, during the formal curing process, a brief and energy-controlled thermal excitation is applied to the selected edge monitoring points to be cured at preset time intervals. This thermal excitation is typically a small-amplitude heating or cooling, which detects the current thermal response characteristics without significantly interfering with the ongoing curing process. The duration, intensity, and frequency of the perturbation thermal pulse can be preset and adjusted according to the specific material properties of the lens assembly, the reaction kinetics of the cured adhesive, and the requirements for temperature control precision.

[0090] In practical applications, calculating the local heat transfer characteristic parameters under disturbance based on the first initial temperature, the second initial temperature, the first disturbance temperature response data, and the second disturbance temperature response data can be understood as using a method similar to that used in the initial stage to calculate the local heat transfer characteristic parameters, but employing real-time acquired disturbance temperature response data to reassess the current heat transfer characteristics. For example, new cross-boundary heat transfer coefficients and heat transfer delays can be calculated based on the temperature rise rate and heat transfer delay caused by the disturbance heat pulse. These parameters collectively constitute the local heat transfer characteristic parameters under disturbance, reflecting the heat transfer efficiency and rate at the current moment.

[0091] The deviation value can quantify the difference in cross-boundary heat transfer coefficient, heat transfer time delay, or a combination thereof. The third preset threshold is an empirical value used to define the significance of changes in heat transfer characteristics. When the deviation value exceeds this threshold, it indicates that the heat transfer path or efficiency inside the lens assembly has undergone a non-negligible change, i.e., the heat transfer boundary has shifted.

[0092] Through the above technical solution, this application can dynamically sense and respond to the possible heat transfer boundary shift during the curing process, and can adjust the temperature control resources according to the actual situation. It can effectively avoid the problem of local overheating or uneven curing caused by heat transfer boundary shift, and significantly improve the robustness and reliability of the curing process.

[0093] Secondly, see Figure 2 This application proposes a camera lens curing collaborative temperature control system, the system comprising: The initial temperature acquisition module 210 is used to acquire the first initial temperature of multiple edge monitoring points to be cured on the lens assembly and the second initial temperature of multiple monitoring points in the adjacent area of ​​the imaging component. The detection response acquisition module 220 is used to apply detection thermal excitation to multiple edge monitoring points to be cured one by one before formal curing, and to acquire the first temperature response data of multiple edge monitoring points to be cured and the second temperature response data of the monitoring points in the adjacent area of ​​the imaging component. The heat transfer boundary identification module 230 is used to calculate the local heat transfer characteristic parameters of the lens assembly based on the first initial temperature, the second initial temperature, the first temperature response data and the second temperature response data, and to identify the heat transfer boundary on the lens assembly from the area to be cured to the adjacent area of ​​the imaging component according to the local heat transfer characteristic parameters. The resource partitioning module 240 is used to specify the boundary main heat source, the boundary main heat source, and the boundary temperature monitoring point from multiple heat sources, multiple heat dissipation sources, and multiple temperature monitoring points on the assembly station according to the identified heat transfer boundary. The curing control module 250 is used to adjust the output intensity of the boundary main heat source and the heat dissipation intensity of the boundary main heat source based on the temperature change data fed back from the boundary temperature monitoring point during the formal curing process. The withdrawal control module 260 is used to perform the withdrawal action after curing is completed, in the order of first reducing the output intensity of the boundary main heat source and then reducing the heat dissipation intensity of the boundary main heat dissipation source.

[0094] The technical solution provides a system for implementing the aforementioned collaborative temperature control method. Through modular design, it ensures the coordinated operation of each functional unit, thereby effectively solving the problem of abnormal heat transfer caused by individual differences, ensuring that the adhesive layer is fully cured and effectively protecting heat-sensitive components.

[0095] The above description is merely an embodiment of this application and is not intended to limit the scope of protection of this application. Various modifications and variations can be made to this application by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the scope of protection of this application.

Claims

1. A method for coordinating temperature control during camera lens curing, characterized in that, The method includes: Acquire the first initial temperature of multiple edge monitoring points to be cured on the lens assembly and the second initial temperature of multiple monitoring points in the adjacent area of ​​the imaging components; Before formal curing, a detection thermal excitation is applied to each of the multiple edge monitoring points to be cured, and the first temperature response data of the multiple edge monitoring points to be cured and the second temperature response data of the monitoring points in the adjacent area of ​​the imaging component are collected. Based on the first initial temperature, the second initial temperature, the first temperature response data and the second temperature response data, the local heat transfer characteristic parameters of the lens assembly are calculated, and the heat transfer boundary of the lens assembly from the area to be cured to the adjacent area of ​​the imaging component is identified according to the local heat transfer characteristic parameters. Based on the identified heat transfer boundary, the boundary main heat source, the boundary main heat dissipation source, and the boundary temperature monitoring point are specified from multiple heat sources, multiple heat dissipation sources, and multiple temperature monitoring points on the assembly station. During the formal curing process, based on the temperature change data fed back from the boundary temperature monitoring points, the output intensity of the boundary main heat source and the heat dissipation intensity of the boundary main heat dissipation source are adjusted. After curing is completed, the withdrawal action is performed in the order of first reducing the output intensity of the main heat source at the boundary, and then reducing the heat dissipation intensity of the main heat dissipation source at the boundary.

2. The camera lens curing temperature control method according to claim 1, characterized in that, The step of calculating the local heat transfer characteristic parameters of the lens assembly based on the first initial temperature, the second initial temperature, the first temperature response data, and the second temperature response data includes: The detection temperature rise rate is calculated based on the first initial temperature and first temperature response data of each of the monitoring points at the edge to be cured. The following temperature rise rate is calculated based on the second initial temperature and second temperature response data of the monitoring points in the vicinity of each imaging component; The ratio of the following temperature rise rate to the detected temperature rise rate is calculated and used as the cross-boundary heat transfer coefficient for each of the monitoring points of the edge to be cured to transfer heat to the monitoring points in the adjacent area of ​​the imaging component. The time difference between the moment when the monitoring point of the edge to be cured first reaches the preset temperature and the moment when the monitoring point in the adjacent area of ​​the imaging component first reaches the preset temperature is calculated as the heat transfer delay. The cross-boundary heat transfer coefficient and the heat transfer delay are stored as the local heat transfer characteristic parameters.

3. The camera lens curing temperature control method according to claim 2, characterized in that, The step of identifying the heat transfer boundary on the lens assembly from the area to be cured to the adjacent area of ​​the imaging component based on the local heat transfer characteristic parameters includes: The side where the monitoring point of the edge to be cured is located, which corresponds to the largest cross-boundary heat transfer coefficient and the smallest heat transfer delay, is determined as the main direction of heat transfer from the area to be cured to the adjacent area of ​​the imaging component. The heat transfer interface between the region to be cured and the adjacent region of the imaging component in the main direction is identified as the heat transfer boundary.

4. The camera lens curing temperature control method according to claim 1, characterized in that, The step of specifying the boundary main heat source, the boundary main heat source, and the boundary temperature monitoring point from multiple heat sources, multiple heat dissipation sources, and multiple temperature monitoring points on the assembly station based on the identified heat transfer boundary includes: The heat source located at the heat transfer boundary and closest to the area to be cured is designated as the main heat source of the boundary. The heat dissipation source located at the heat transfer boundary and closest to the imaging component is designated as the main heat dissipation source of the boundary. The temperature monitoring point located at the heat transfer boundary and closest to the area to be cured is designated as the boundary heat supply side representative monitoring point, and the temperature monitoring point located at the heat transfer boundary and closest to the area adjacent to the imaging component is designated as the boundary receiving side representative monitoring point. The boundary heat supply side representative monitoring point and the boundary receiving side representative monitoring point together constitute the boundary temperature monitoring point.

5. The camera lens curing temperature control method according to claim 4, characterized in that, The step of specifying the boundary main heat source, the boundary main heat source, and the boundary temperature monitoring point from multiple heat sources, multiple heat dissipation sources, and multiple temperature monitoring points on the assembly station based on the identified heat transfer boundary further includes: All heat sources other than the primary heat source at the boundary are designated as a set of supplementary heat sources.

6. The camera lens curing temperature control method according to claim 5, characterized in that, The step of adjusting the output intensity of the main heat source and the heat dissipation intensity of the main heat source at the boundary based on the temperature change data fed back from the boundary temperature monitoring points during the formal curing process includes: When the temperature at the monitoring point on the boundary heating side reaches the preset lower limit of the curing temperature for the first time, the temperature difference between the monitoring point on the boundary heating side and the monitoring point on the boundary receiving side is recorded as a reference temperature difference. During the formal curing process, the ratio of the real-time temperature difference between the representative monitoring point on the boundary heat supply side and the representative monitoring point on the boundary receiving side to the reference temperature difference is calculated as the temperature difference ratio, and the ratio of the temperature rise rate of the representative monitoring point on the boundary receiving side to the temperature rise rate of the representative monitoring point on the boundary heat supply side is calculated as the temperature rise ratio. If the temperature difference ratio is lower than the first preset threshold, or the temperature rise ratio is higher than the second preset threshold, then the output intensity of the boundary main heat source is reduced, the heat dissipation intensity of the boundary main heat source is increased, and a heat source is selected from the set of supplementary heat sources for supplementary heating.

7. The camera lens curing temperature control method according to claim 6, characterized in that, The steps of reducing the output intensity of the boundary main heat source and increasing the heat dissipation intensity of the boundary main heat source include: Based on the spatial coordinates of multiple monitoring points of the edge to be cured and the local heat transfer characteristic parameters, a heat transfer equivalent model of the lens assembly is constructed. Using the heat transfer equivalent model and combining the real-time temperature data from the boundary temperature monitoring points, the estimated temperature within the area to be cured is calculated. The equivalent temperature difference is calculated based on the real-time temperature data and the estimated temperature. Based on the equivalent temperature difference and the temperature rise ratio, calculate the output correction amount of the boundary main heat source and the heat dissipation correction amount of the boundary main heat source, apply the output correction amount to the output intensity of the boundary main heat source, and apply the heat dissipation correction amount to the heat dissipation intensity of the boundary main heat source.

8. The camera lens curing temperature control method according to claim 6, characterized in that, The formal curing process includes: When the real-time temperature difference continues to decrease within a preset time window, or when the temperature of the area to be cured reaches the preset upper limit of the curing temperature, the output of the main heat source at the boundary and the heat source in the set of supplementary heat sources is immediately stopped, the main heat source at the boundary is kept working, and the lens assembly is marked as abnormal.

9. The camera lens curing temperature control method according to claim 1, characterized in that, The formal curing process also includes: Periodically apply perturbation thermal pulses to multiple edge monitoring points to be cured, and collect first perturbation temperature response data of multiple edge monitoring points to be cured and second perturbation temperature response data of monitoring points in the adjacent area of ​​the imaging component; Based on the first initial temperature, the second initial temperature, the first disturbance temperature response data, and the second disturbance temperature response data, calculate the local heat transfer characteristic parameters of the disturbance. Calculate the deviation between the disturbance local heat transfer characteristic parameter and the local heat transfer characteristic parameter. When the deviation exceeds a third preset threshold, it is determined that the heat transfer boundary of the lens assembly has shifted. The heat transfer boundary is re-identified based on the local heat transfer characteristic parameters of the disturbance, and the main heat source, the main heat dissipation source, and the temperature monitoring point of the boundary are re-designated based on the re-identified heat transfer boundary.

10. A camera lens curing temperature control system, used to execute the camera lens curing temperature control method as described in any one of claims 1 to 9, characterized in that, The system includes: The initial temperature acquisition module is used to acquire the first initial temperature of multiple edge monitoring points to be cured on the lens assembly and the second initial temperature of multiple monitoring points in the adjacent area of ​​the imaging components. The detection response acquisition module is used to apply detection thermal excitation to multiple edge monitoring points to be cured one by one before formal curing, and to acquire the first temperature response data of multiple edge monitoring points to be cured and the second temperature response data of the monitoring points in the adjacent area of ​​the imaging component. The heat transfer boundary identification module is used to calculate the local heat transfer characteristic parameters of the lens assembly based on the first initial temperature, the second initial temperature, the first temperature response data and the second temperature response data, and to identify the heat transfer boundary on the lens assembly from the area to be cured to the adjacent area of ​​the imaging component according to the local heat transfer characteristic parameters. The resource partitioning module is used to specify the boundary main heat source, the boundary main heat source, and the boundary temperature monitoring point from multiple heat sources, multiple heat dissipation sources, and multiple temperature monitoring points on the assembly station according to the identified heat transfer boundary. The curing control module is used to adjust the output intensity of the boundary main heat source and the heat dissipation intensity of the boundary main heat source based on the temperature change data fed back by the boundary temperature monitoring point during the formal curing process. The withdrawal control module is used to perform withdrawal actions after curing is completed, in the order of first reducing the output intensity of the boundary main heat source and then reducing the heat dissipation intensity of the boundary main heat dissipation source.

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