Integrated photodetection method and apparatus for a laminator

Abstract

The application discloses an integrated photoelectric detection method and device for a laminating machine, and the method is applied to a control terminal, the control terminal is in communication connection with two groups of sensing components integrated with multiple photoelectric sensors; the method comprises the following steps: receiving initial photoelectric signals of the photoelectric sensors in each group and performing in-position detection; if all are in position, a prompt is generated, after a preset interval, reset detection is performed on newly received basic photoelectric signals; if the reset is successful, abnormality detection is performed based on the initial and basic photoelectric signals, if there is no abnormality, a reset prompt is generated and the cycle is executed. The application can effectively solve the problems of high false detection rate, unreliable reset confirmation and lack of systematic abnormality diagnosis mechanism in the existing detection scheme, and improve the accuracy of the detection process and the stability of the system operation.

Description

Technical Field

[0001] This invention relates to the field of photoelectric detection technology, and in particular to an integrated photoelectric detection method and apparatus for bonding machines. Background Technology

[0002] High-precision bonding machines are core equipment in the fields of semiconductor packaging and precision assembly of 3C products. The automatic switching efficiency and accuracy of their nozzle quick-change modules directly determine the overall production efficiency of the machine. In existing technical solutions, to monitor the nozzle's positioning status, a control terminal is typically connected to multiple sets of sensing components, each integrating multiple independent photoelectric sensors. During operation, the control terminal receives photoelectric signals sensed by each sensor and determines whether the signal reaches a trigger threshold based on preset logic rules, thereby determining whether the nozzle is properly installed. Once the nozzle is detected to be in position, the system records the status and allows subsequent bonding processes to proceed. During nozzle removal or reset, the system collects signals again to confirm the reset status, completing a basic detection cycle.

[0003] However, current technologies still fall short in terms of detection reliability in continuous operation scenarios. Existing detection logic often focuses on threshold judgment of a single signal, lacking in-depth analysis of the correlation between the initial signal and the basic signal after reset. This makes it difficult to effectively identify hidden anomalies caused by sensor drift, optical path contamination, or transient interference. This situation easily leads to false alarms or missed alarms under complex operating conditions, affecting the stability of equipment operation and maintenance efficiency, and failing to meet the stringent requirements of high-precision automated production lines for consistency and self-diagnostic capabilities throughout the entire detection process. Summary of the Invention

[0004] This invention provides an integrated photoelectric detection method and device for laminating machines, aiming to solve the technical problems of low integration, high false detection rate, unreliable reset confirmation, and lack of systematic abnormality diagnosis mechanism in the existing laminating machine nozzle positioning detection process.

[0005] In a first aspect, embodiments of the present invention provide an integrated photoelectric detection method for a bonding machine, wherein the method is applied to a control terminal, the control terminal being communicatively connected to two sets of sensing components to achieve data information transmission, each set of sensing components integrating multiple photoelectric sensors, and the method comprising: Receive the initial photoelectric signals sensed by each photoelectric sensor in each group of the sensing components; The initial photoelectric signal is detected according to the preset arrival detection rules to obtain an arrival detection signal indicating whether the position is in place. If all the arrival detection signals are in place, a corresponding arrival prompt message is generated; After a preset detection time interval, the newly received basic photoelectric signal is detected again according to the preset reset detection rules to obtain a reset detection signal indicating whether the reset was successful. If all the reset detection signals are successful, the initial photoelectric signal and the basic photoelectric signal are subjected to anomaly detection according to the preset anomaly detection rules to obtain the anomaly detection result; If the anomaly detection result is no anomaly, a corresponding reset prompt message is generated and the process returns to the step of receiving the initial photoelectric signals sensed by each photoelectric sensor in each group of the sensing components.

[0006] Secondly, embodiments of the present invention also provide an integrated photoelectric detection and control device for a laminating machine, wherein the device is configured in a control terminal, the control terminal is communicatively connected to two sets of sensing components to realize data information transmission, each set of sensing components is integrated with multiple photoelectric sensors, and the device is used to execute the integrated photoelectric detection method for a laminating machine as described in the first aspect above, the device comprising: An initial photoelectric signal receiving unit is used to receive the initial photoelectric signal sensed by each photoelectric sensor in each group of the sensing components. The arrival detection signal acquisition unit is used to detect the initial photoelectric signal according to the preset arrival detection rules to obtain an arrival detection signal indicating whether the person has arrived. The arrival prompt information generation unit is used to generate corresponding arrival prompt information if all the arrival detection signals are in place; The reset detection signal acquisition unit is used to re-detect the newly received basic photoelectric signal according to the preset reset detection rules after a preset detection time interval, and obtain a reset detection signal indicating whether the reset was successful. An anomaly detection result acquisition unit is used to perform anomaly detection on the initial photoelectric signal and the basic photoelectric signal according to a preset anomaly detection rule if all the reset detection signals are successful, and obtain anomaly detection results. The reset prompt information generation unit is used to generate corresponding reset prompt information and return to execute the steps corresponding to the initial photoelectric signal receiving unit if the abnormality detection result is no abnormality.

[0007] Thirdly, embodiments of the present invention also provide a computer device, wherein the device includes a processor, a communication interface, a memory, and a communication bus, wherein the processor, the communication interface, and the memory communicate with each other through the communication bus; Memory, used to store computer programs; When the processor executes the program stored in the memory, it implements the steps of the integrated photoelectric detection method for the bonding machine described in the first aspect above.

[0008] Fourthly, embodiments of the present invention also provide a computer-readable storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the steps of the integrated photoelectric detection method for a bonding machine as described in the first aspect above.

[0009] This invention provides an integrated photoelectric detection method and apparatus for a bonding machine. The method is applied to a control terminal, which is communicatively connected to two sets of sensing components integrating multiple photoelectric sensors. The method includes receiving initial photoelectric signals from each set of photoelectric sensors and performing position detection; if all signals are in position, a prompt is generated; after a preset time interval, a reset detection is performed on the newly received basic photoelectric signals; if the reset is successful, an anomaly detection is performed based on the initial and basic photoelectric signals; if no anomaly is found, a reset prompt is generated and the process is repeated cyclically. This application effectively solves the problems of high false detection rate, unreliable reset confirmation, and lack of a systematic anomaly diagnosis mechanism in existing detection schemes, improving the accuracy of the detection process and the stability of system operation. Attached Figure Description

[0010] To more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the following description of the embodiments will be briefly introduced. Obviously, the drawings described below are some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0011] Figure 1 A flowchart illustrating the integrated photoelectric detection method for a laminating machine provided in an embodiment of the present invention; Figure 2 This is a schematic diagram illustrating an application scenario of the integrated photoelectric detection method for a laminating machine provided in an embodiment of the present invention. Figure 3 This is a structural diagram of the bonding machine provided in an embodiment of the present invention; Figure 4 This is another structural diagram of the bonding machine provided in an embodiment of the present invention; Figure 5 A schematic block diagram of an integrated photoelectric detection and control device for a laminating machine provided in an embodiment of the present invention; Figure 6 This is a schematic block diagram of a computer device provided in an embodiment of the present invention. Detailed Implementation

[0012] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0013] It should be understood that, when used in this specification and the appended claims, the terms "comprising" and "including" indicate the presence of the described features, integrals, steps, operations, elements and / or components, but do not exclude the presence or addition of one or more other features, integrals, steps, operations, elements, components and / or collections thereof.

[0014] It should also be understood that the terminology used in this specification is for the purpose of describing particular embodiments only and is not intended to limit the invention. As used in this specification and the appended claims, the singular forms “a,” “an,” and “the” are intended to include the plural forms unless the context clearly indicates otherwise.

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

[0016] This invention application provides an integrated photoelectric detection method for a laminating machine. This method is applied in a control terminal, which executes a stored software program to implement the aforementioned integrated photoelectric detection method for the laminating machine. Figure 2 As shown, the control terminal 10 is connected to two sets of sensing components 20 to transmit data information. Each set of sensing components 20 integrates multiple photoelectric sensors 21. The control terminal 10 can be a desktop computer, laptop computer, tablet computer, or mobile phone.

[0017] like Figure 1 As shown, the method includes steps S110 to S160.

[0018] S110, Receive the initial photoelectric signal sensed by each photoelectric sensor in each group of the sensing components.

[0019] Specifically, the initial photoelectric signal can refer to the analog / digital voltage or current signal that the control terminal acquires in real time from the two sets of sensing components via a communication interface. This signal originates from multiple photoelectric sensors integrated into each set of sensing components. Specifically, the control terminal establishes communication connections with each of the two sets of sensing components. Each set of sensing components integrates multiple photoelectric sensors arranged in a linear array, which together constitute a high-density detection unit. When the nozzle or other object to be measured enters the detection area, the optical path of the photoelectric sensor is blocked or restored, thereby generating an electrical signal characterizing the object's positional state. For example... Figure 3 and Figure 4 As shown, in the application scenario of quick nozzle 1 change in the laminating machine, eight photoelectric sensors 21 are divided into two groups of four, integrated on two PCB substrates, which are fixedly mounted on the same nozzle mounting component 3. When the nozzle 1 is inserted into the detection slot 22 (i.e., the insertion station), its sensing trigger terminal 11 blocks the infrared light path in the detection slot 22 of the photoelectric sensor 21, and the sensor outputs a low-level signal. When the nozzle 1 is removed, the light path is restored, and the sensor outputs a high-level signal. The figure clearly shows the relative positional relationship between the sensing components and the nozzle station, ensuring that the photoelectric sensors can accurately capture the physical state changes when the nozzle is in place. Through this grouped integrated communication architecture, the control terminal can receive multiple signals in parallel at one time, significantly reducing signal transmission delay and external interference.

[0020] S120. The initial photoelectric signal is detected according to the preset arrival detection rules to obtain an arrival detection signal indicating whether the position is in place.

[0021] Specifically, the position detection rule is a logic algorithm pre-stored in the control terminal's memory, used to convert the received initial photoelectric signal into a clear Boolean state value (position or not). This rule typically includes setting a position detection threshold and comparing the amplitude of the initial photoelectric signal with this threshold. If the signal value exceeds or falls below this threshold (depending on whether the circuit design uses normally open or normally closed logic), it is determined to be in position. Specifically, the control terminal reads the initial photoelectric signals uploaded by each group of sensing components and compares them one by one with a preset voltage threshold (e.g., 15V). If the voltage of a signal is below 15V, the position is marked as not in position; otherwise, it is marked as in position. The output of the photoelectric sensor is connected to the input pin of a voltage comparator (such as LM339D). After being shaped by the comparator, a stable high and low level signal is output. The control terminal executes the software-level position detection rule based on these stable levels pre-processed by hardware. Through the dual confirmation of hardware comparison and software rules, signal noise is effectively filtered out, ensuring the accuracy of the position detection signal.

[0022] In a more specific embodiment, step S120 includes the following sub-steps: determining whether the signal value of the initial photoelectric signal exceeds the position detection threshold in the position detection rule; if the signal value of the initial photoelectric signal exceeds the position detection threshold, obtaining a position detection signal indicating that the position is in place; if the signal value of the initial photoelectric signal does not exceed the position detection threshold, obtaining a position detection signal indicating that the position is not in place.

[0023] The system determines whether the initial photoelectric signal value exceeds the positioning detection threshold in the positioning detection rules. The initial photoelectric signal can refer to the analog voltage or current signal sensed and output in real time by a photoelectric sensor integrated on the PCB substrate during nozzle insertion. This signal originates from changes in the optical path obstruction state of each photoelectric sensor in the sensing assembly. The positioning detection threshold is a pre-set critical value based on the electrical signal value corresponding to the minimum obstruction light intensity when the nozzle is fully inserted. Its function is to distinguish between the nozzle not being in position and being in position. Specifically, the control terminal reads the initial photoelectric signals transmitted by each group of sensing components and compares them with the positioning detection threshold stored in memory. For example, when the photoelectric sensor uses an NPN type output and is in normally open mode, it outputs a high level (e.g., 24V) when there is no obstruction and a low level (e.g., 0V) when obstructed. In this case, the positioning detection threshold can be set to 15V. If the initial photoelectric signal is 0.5V, it is determined that the positioning detection threshold has not been exceeded. This threshold comparison mechanism detects the insertion and removal of the nozzle, eliminating signal fluctuations caused by dust interference or slight vibrations, and ensuring that subsequent logic is triggered only when the nozzle actually enters the detection area and reaches the predetermined depth.

[0024] If the initial photoelectric signal value exceeds the positioning detection threshold, a positioning detection signal is generated. This positioning detection signal is a logical status indicator that the nozzle has been removed, typically represented by a high-level pulse, a specific communication protocol message, or a flag set to 1. This signal is generated by the logic operation unit inside the control terminal after confirming that the comparison result is true. Its function is to notify the bonding machine's main control system that the nozzle replacement action at the current station has been completed, allowing subsequent bonding processes or reset detection procedures to be executed. For example, when the initial photoelectric signal at station 3 exceeds the positioning detection threshold for 50ms, the control terminal immediately generates a positioning confirmation command for station 3 and updates the status register. This process clearly demonstrates the branch logic from signal acquisition to threshold comparison and then to the generation of the positioning signal, ensuring that in multi-station parallel detection scenarios, the positioning status of any station can be independently and accurately identified, thereby avoiding overall process stagnation due to a single sensor failure.

[0025] If the initial photoelectric signal value does not exceed the positioning detection threshold, a non-positioning positioning detection signal is generated. This non-positioning positioning detection signal is a logical status indicator that the nozzle has not been completely removed, typically represented by a low level or a flag value of 0. This signal is generated directly when the comparison result is negative, and is used to trigger an exception handling mechanism or prompt the operator to check the nozzle station status. It can be set to provide immediate feedback or be generated after multiple consecutive samples have not exceeded the threshold to filter out transient noise. For example, if the initial photoelectric signal at a certain station is 21V, significantly higher than the 15V positioning detection threshold, the system determines that the initial photoelectric signal indicates positioning has occurred. This mechanism effectively solves the false detection problem caused by loose wiring or misalignment of traditional distributed sensors, ensuring consistency in detection across eight stations through a unified threshold criterion.

[0026] S130. If all the arrival detection signals are in place, generate the corresponding arrival prompt information.

[0027] The "positioning notification" is a status command or visual feedback generated by the control terminal after confirming that all nozzle stations have met the positioning conditions. It indicates that the current nozzle installation is complete and in normal condition. This information is generated based on the logical AND operation of the detection results from all channels; that is, the system will only trigger this step when all photoelectric sensors in the first and second groups of sensing components return a positioning signal. For example, when all eight nozzle stations detect that a nozzle has been removed, the control terminal sends a green indicator light command indicating that all nozzles are in position to the Human-Machine Interface (HMI) or sends a ready code to the host computer. This mechanism avoids subsequent misoperations caused by a single station not being in position, ensuring the safety of the production process.

[0028] S140. After a preset detection time interval, the newly received basic photoelectric signal is detected again according to the preset reset detection rules to obtain a reset detection signal indicating whether the reset was successful.

[0029] The preset detection time is a time delay window set to facilitate the replenishment of nozzles to each nozzle station. Its value can be dynamically adjusted according to actual working conditions, and is usually set between 0.5 seconds and 2 seconds. The basic photoelectric signal refers to the latest status signal resampled and uploaded by the sensing components after the preset detection time delay, used to verify the stability of the system after a short delay. The reset detection rule is another set of judgment logic set for the basic photoelectric signal, which aims to confirm whether the object remains in place within the expected time or has been reset as expected. Specifically, after generating the in-place prompt information, the system starts a timer, and after the timer expires, it reads the data of each group of sensing components again. If the received basic photoelectric signal still meets the expected stable state (e.g., continuously maintaining a low level), it is determined that the reset is successful; if the signal changes abruptly, it is determined that the reset has failed. For example, during the nozzle clamping process, there may be instantaneous elastic rebound that causes signal fluctuations. By introducing a preset detection time of 100ms for secondary confirmation, these transient interferences can be effectively eliminated, ensuring that the reset detection signal truly reflects the physical state.

[0030] In a more specific embodiment, step S140 includes the following sub-steps: determining whether the signal value of the basic photoelectric signal does not exceed the reset detection threshold in the reset detection rule; if the signal value of the basic photoelectric signal does not exceed the reset detection threshold, obtaining a reset detection result of successful reset; if the signal value of the basic photoelectric signal exceeds the reset detection threshold, obtaining a reset detection result of unsuccessful reset.

[0031] The system determines whether the signal value of the basic photoelectric signal does not exceed the reset detection threshold in the reset detection rules. The basic photoelectric signal refers to the photoelectric signal re-sensed by each photoelectric sensor after a new nozzle is added to each nozzle station. After the nozzle quick-change module completes one bonding or nozzle-changing action and removes the nozzle, a new nozzle needs to be added again. When the new nozzle is added to the nozzle station and the sensing trigger end is accurately inserted into the detection slot of the photoelectric sensor, the infrared light path is blocked again. At this time, the light intensity received by the photoelectric sensor weakens, and the corresponding electrical signal value changes (e.g., voltage decreases or current decreases, depending on whether the circuit design is active high or low; in this embodiment, the signal value represents the light intensity, i.e., the signal value is higher when there is no blockage and lower when there is blockage). The reset detection threshold is a critical value preset in the control terminal memory. This value lies between the signal value of the nozzle in the blocked state and the signal value of the fully blocked embedded state, used to determine whether a new nozzle has been truly assembled at the nozzle station and the system has returned to the reset state. Specifically, after receiving a newly acquired basic photoelectric signal, the control terminal compares its real-time value with the stored reset detection threshold. For example, if the reset detection threshold is set to 1.5V, and a photoelectric sensor returns a basic photoelectric signal of 1.2V after reassembling the nozzle (assuming a low level represents a complete reset), then the signal value is determined to be within the threshold. If the basic photoelectric signal is greater than the reset detection threshold, it indicates that the nozzle's sensing trigger terminal is not accurately inserted into the photoelectric sensor's detection slot (due to dust residue or mechanical jamming in the detection slot). This threshold comparison mechanism allows for a quantitative assessment of the sensor's reset status, avoiding the uncertainty caused by relying solely on experience.

[0032] If the signal value of the basic photoelectric signal does not exceed the reset detection threshold, a successful reset detection result is obtained. Specifically, when the control terminal confirms that the basic photoelectric signals of all sensor components meet the condition of not exceeding the reset detection threshold, the system is considered to have completed the reset. This means that the new nozzles have all been inserted into the detection slots, the optical path is completely blocked by the sensing trigger end, and the sensor output is stable within the expected level range. This successful reset detection result is generated and temporarily stored as a flag bit to trigger subsequent abnormal detection processes or prepare for the next round of initial signal reception. For example, in an 8-station integrated detection scenario, the system will only consider the entire module to have successfully reset if the signal values ​​of all 8 photoelectric sensors are all below the set reset detection threshold (e.g., all less than 1.5V). If any signal is still above the threshold, it indicates that the nozzle may not be fully inserted, there may be foreign objects obstructing the detection slot, or the sensor itself may be faulty, preventing the signal from falling back. This step ensures that the nozzle is in a pre-positioned state before entering the next round of high-precision detection, effectively preventing subsequent processing from being affected by the nozzle not being in place.

[0033] If the signal value of the basic photoelectric signal exceeds the reset detection threshold, a reset failure detection result is obtained. Specifically, if the basic photoelectric signal value of any group or any photoelectric sensor is detected to be higher than (i.e., exceeding) the preset reset detection threshold, the control terminal will immediately determine that the reset has failed and generate a reset failure detection result. After obtaining the reset failure detection result, the system will not execute subsequent abnormal detection rules, but may trigger an alarm prompt or suspend operation, waiting for manual intervention or executing an automatic retry procedure.

[0034] S150. If all the reset detection signals are successful, perform anomaly detection on the initial photoelectric signal and the basic photoelectric signal according to the preset anomaly detection rules to obtain the anomaly detection result.

[0035] Specifically, the anomaly detection rule is an advanced diagnostic logic used to identify potential sensor faults, circuit aging, or environmental interference anomalies by comparing and analyzing the consistency, trend of change, and statistical characteristics of the initial photoelectric signal and the basic photoelectric signal. This rule not only focuses on the instantaneous state of the signal but also on its evolution over time. Specifically, the control terminal calculates the difference, variance, or correlation coefficient between the initial photoelectric signal and the basic photoelectric signal. If the difference exceeds the allowable fluctuation range, or if the signal exhibits an abnormal drift trend, it is judged as an anomaly. For example, if the initial photoelectric signals of the various photoelectric sensors in a group of sensing components differ excessively, or if the difference between the initial photoelectric signal and the basic photoelectric signal in the same group of sensing components exceeds a preset range, the anomaly detection rule will capture this discrepancy and mark it as an abnormal signal drift or poor contact.

[0036] In a more specific embodiment, step S150 includes the following sub-steps: judging whether the initial photoelectric signal of each group of sensing components conforms to the initial signal detection parameters in the anomaly detection rules, and obtaining a first judgment result; judging whether the basic photoelectric signal of each group of sensing components conforms to the basic signal detection parameters in the anomaly detection rules, and obtaining a second judgment result; judging whether the signal difference between the initial photoelectric signal and the basic photoelectric signal of each group of sensing components conforms to the difference detection parameters in the anomaly detection rules, and obtaining a third judgment result; if the first judgment result, the second judgment result, or the third judgment result does not conform, an anomaly detection result is obtained; if the first judgment result, the second judgment result, and the third judgment result all conform, an anomaly detection result without anomalies is obtained.

[0037] The initial photoelectric signals of each group of sensing components are judged to conform to the initial signal detection parameters in the anomaly detection rules, resulting in a first judgment result. This step aims to verify whether the initial signal collected by the sensor at the moment the nozzle is removed is within the normal physical response range, thus eliminating abnormal signals caused by sensor contamination, light source attenuation, or transient strong interference. The initial signal detection parameters can refer to a threshold range or statistical model preset in the control terminal's memory, which defines the standard range of the photoelectric sensor's output signal under normal operating conditions. Specifically, the control terminal reads the initial photoelectric signals reported by all photoelectric sensors in each group of sensing components and compares their values ​​with the initial signal detection parameters. If the values ​​match the initial signal detection parameters, a conforming first judgment result is obtained; otherwise, a non-conforming first judgment result is obtained.

[0038] The system assesses whether the basic photoelectric signals of each group of sensing components conform to the basic signal detection parameters in the anomaly detection rules, thus obtaining a second judgment result. This step confirms whether the sensor's reference signal has returned to the expected reset state level after the nozzle reset, preventing undetected signal anomalies caused by mechanical jamming or signal drift. The basic signal detection parameters can refer to the standard signal range corresponding to the sensor's obstructed state. The control terminal acquires the newly received basic photoelectric signals after a preset detection interval and verifies whether they meet the constraints of the basic signal detection parameters. If the constraints are met, a conforming second judgment result is obtained; otherwise, a non-conforming second judgment result is obtained.

[0039] The third judgment result is obtained by judging whether the signal difference between the initial photoelectric signal and the basic photoelectric signal of each group of sensing components meets the difference detection parameters in the anomaly detection rules. This step focuses on analyzing the amplitude and trend of signal changes, aiming to capture hidden faults such as decreased sensitivity that appear normal at a single point but exhibit abnormal signal changes under two different operating states. Signal difference can refer to the difference, ratio, or rate of change between the initial photoelectric signal and the basic photoelectric signal, while the difference detection parameters define the reasonable fluctuation range of this change. The control terminal calculates the signal change of each sensor from the initial state to the reset state and determines whether the signal difference falls within the allowable fluctuation range of the difference detection parameters. For example, under normal circumstances, nozzle insertion and removal should cause a level jump of at least 18V. If a sensor's initial and reset values ​​are both within their respective acceptable ranges, but the difference is only 16V, it indicates severely insufficient sensor sensitivity. In this case, the calculated signal difference will not meet the difference detection parameters, leading to the third judgment result indicating non-compliance. This step, by introducing a dynamic differential perspective, compensates for the limitations of a single static threshold judgment.

[0040] If the first, second, or third judgment result is non-compliant, an anomaly detection result is obtained. This step employs a veto-based logical aggregation strategy: if any one of the three dimensions exhibits an anomaly, the entire detection process is deemed risky. The control terminal monitors the status flags of the first, second, and third judgment results in real time. If any flag indicates non-compliance, the current normal process is immediately terminated, and an anomaly detection result indicating system anomaly is directly output. This logical design ensures high system security, preventing equipment from continuing to operate in a faulty state due to ignoring a single dimension's flaws, thus effectively preventing potential collisions or bonding accuracy deviations.

[0041] If the first, second, and third judgment results are all met, a no-abnormality detection result is obtained. This step is a final affirmative conclusion about the sensor's health status, made after confirming that all preconditions are perfectly met. Only when the initial signal is compliant, the basic signal returns to normal, and the dynamic changes between them meet expectations, will the control terminal determine that the first, second, and third judgment results are all met, thus generating a no-abnormality detection result. This result serves as a necessary prerequisite for subsequently generating a reset prompt and returning to execute the initial photoelectric signal reception step. It signifies that the sensor component's operating status is stable and reliable within the current detection cycle, and it can be safely put into the next bonding operation cycle.

[0042] In a more specific embodiment, the step of judging whether the initial photoelectric signals of each group of sensing components conform to the initial signal detection parameters in the anomaly detection rules to obtain a first judgment result includes: acquiring the intra-group initial difference and inter-group initial difference corresponding to the initial photoelectric signals of each group of sensing components; judging whether the intra-group initial difference is within the intra-group fluctuation range of the initial signal detection parameters, and judging whether the inter-group initial difference is within the inter-group fluctuation range of the initial signal detection parameters, to obtain a first judgment result indicating whether conformity is met.

[0043] Furthermore, the initial differences within and between groups of sensing components are obtained for the initial photoelectric signals of each group. The initial difference within a group refers to the degree of numerical deviation of the initial photoelectric signals sensed by multiple photoelectric sensors integrated within the same group of sensing components. This is derived from statistical calculations based on the signal values ​​collected by each photoelectric sensor within the group at the same time, such as by calculating the difference between the maximum and minimum values ​​or the standard deviation. The initial difference between groups refers to the degree of numerical deviation of the average value of the initial photoelectric signals sensed by two different groups of sensing components. This is derived from comparing the average value of the initial photoelectric signal of the Nth sensor in the first group of sensing components with the average value of the initial photoelectric signal of the Nth sensor in the second group of sensing components. The role of the initial difference within a group is to reflect the consistency of the detection units within a single group of sensing components, and to identify whether there are individual sensor malfunctions, contamination, or localized occlusion anomalies within the group. The role of the initial difference between groups is to reflect the matching degree and synchronization between two groups of sensing components, and to identify whether there are overall deviations caused by mechanical installation misalignment, inconsistent aging levels of the two groups of sensors, or environmental interference. For example, when each sensing component group contains four photoelectric sensors, the initial difference within a group can be calculated as the range of the signal values ​​of the four sensors in that group; while the initial difference between groups is calculated by comparing the average signal value of the first group with the average signal value of the second group. If the difference exceeds a preset tolerance, it indicates that there may be a calibration deviation between the two groups of sensors. By obtaining the initial differences within and between groups, the distribution characteristics of the initial photoelectric signals can be comprehensively quantified from two dimensions: microscopic single-group consistency and macroscopic two-group matching, providing multi-dimensional data support for subsequent anomaly detection.

[0044] The system determines whether the initial difference within a group falls within the intra-group fluctuation range of the initial signal detection parameters, and whether the initial difference between groups falls within the inter-group fluctuation range of the initial signal detection parameters, thus obtaining a first judgment result indicating compliance. The initial signal detection parameters are preset judgment benchmark data in the control terminal, including intra-group and inter-group fluctuation ranges. Their setting method is determined based on statistical analysis of a large amount of historical normal detection data, combined with the accuracy requirements of the bonding machine and a safety redundancy coefficient. The intra-group fluctuation range can refer to the maximum threshold range of allowable intra-group initial differences, and the inter-group fluctuation range can refer to the maximum threshold range of allowable inter-group initial differences. The judgment process specifically includes: comparing the calculated intra-group initial difference values ​​of the two sets of sensing components with the upper limit of the intra-group fluctuation range; if both are less than or equal to the upper limit, the intra-group difference is judged to comply with the rule; otherwise, it does not. Simultaneously, the calculated inter-group initial difference values ​​are compared with the upper limit of the inter-group fluctuation range; if both are less than or equal to the upper limit, the inter-group difference is judged to comply with the rule; otherwise, it does not. The first judgment result obtained directly characterizes the stability of the initial photoelectric signal in spatial distribution. If the result is consistent, it indicates that the overall condition of the sensor array is good, with no local damage or overall offset. If the result is inconsistent, it accurately locates whether the abnormality occurs at the level of a single unit within the group or a system deviation between groups. This effectively avoids the problem of missed detection caused by local minor abnormalities being masked by the overall average value, and significantly improves the sensitivity and troubleshooting ability of the detection system to the consistency problem of multi-channel sensors.

[0045] In a more specific embodiment, the step of judging whether the basic photoelectric signals of each group of sensing components conform to the basic signal detection parameters in the anomaly detection rules to obtain a second judgment result includes: acquiring the intra-group basic differences and inter-group basic differences corresponding to the basic photoelectric signals of each group of sensing components; judging whether the intra-group basic differences are within the intra-group fluctuation range of the basic signal detection parameters, and judging whether the inter-group basic differences are within the inter-group fluctuation range of the basic signal detection parameters, to obtain a second judgment result indicating whether conformity is met.

[0046] Furthermore, the basic differences within and between groups of sensing components are obtained based on the basic photoelectric signals of each group. The basic photoelectric signal refers to the signal generated by the photoelectric sensors in each group of sensing components, which is received again by the control terminal after a preset detection interval. This signal reflects the real-time operating condition of the nozzle quick-change module in the reset state. The basic difference within a group refers to the numerical deviation between the basic photoelectric signals output by multiple photoelectric sensors within the same group of sensing components. This deviation is derived from statistical calculations of the signals from each sensor within the same group, such as calculating the difference or standard deviation between the maximum and minimum values, used to characterize the consistency of the sensor group in the reset state. The basic difference between groups refers to the numerical deviation corresponding to the average value of the basic photoelectric signals sensed between different groups of sensing components. This deviation is derived from comparative calculations of the signal sets of two groups of sensing components, used to characterize the synchronization of the two sensing systems in the reset state. Specifically, the control terminal first reads the basic photoelectric signal values ​​of the four photoelectric sensors in the first group of sensing components, obtains the extreme values, and calculates the basic difference within the first group. Then, it reads the basic photoelectric signal values ​​of the four photoelectric sensors in the second group of sensing components, obtains the extreme values, and calculates the basic difference within the second group. Finally, it compares the average signal value of the first group with the average signal value of the second group to calculate the basic difference between the groups. This difference quantification method transforms abstract signal states into measurable numerical indicators, providing a precise data foundation for subsequent compliance assessments.

[0047] The system determines whether the basic differences within a group fall within the intra-group fluctuation range of the basic signal detection parameters, and whether the basic differences between groups fall within the inter-group fluctuation range of the basic signal detection parameters, thus obtaining a second judgment result indicating compliance. The basic signal detection parameters are judgment benchmark data pre-stored in the control terminal's storage unit, including intra-group and inter-group fluctuation ranges. The intra-group fluctuation range can refer to the maximum threshold range allowed for signal fluctuations within the same group of sensing components, set based on the inherent noise level and manufacturing tolerances of the photoelectric sensor in its normal reset state. The inter-group fluctuation range can refer to the maximum threshold range allowed for signal deviations between different groups of sensing components, set based on the gain consistency requirements of the two circuit channels and environmental interference tolerance. The judgment process specifically includes: the control terminal comparing the calculated intra-group basic differences of the two groups of sensing components with the upper limit of the intra-group fluctuation range. If the intra-group basic differences are both less than or equal to the upper limit, the intra-group differences are judged to comply with the rules; simultaneously, the calculated inter-group basic differences are compared with the upper limit of the inter-group fluctuation range. If the inter-group basic differences are less than or equal to the upper limit, the inter-group differences are judged to comply with the rules. A second judgment result indicating compliance is generated only when both intra-group and inter-group differences are deemed compliant; conversely, if any difference exceeds the corresponding fluctuation range, a second judgment result indicating non-compliance is generated. This dual-dimensional verification mechanism not only identifies abnormal drift in individual sensors but also effectively captures systematic deviations caused by circuit grouping and isolation failures or sudden changes in the external environment, ensuring the rigor of the reset detection.

[0048] In a more specific embodiment, the step of judging whether the signal difference between the initial photoelectric signal and the basic photoelectric signal of each group of sensing components conforms to the difference detection parameter in the anomaly detection rule to obtain a third judgment result includes: obtaining the signal difference between the initial photoelectric signal and the basic photoelectric signal of each photoelectric sensor; obtaining the intra-group difference and inter-group difference corresponding to each group of sensing components based on the signal difference corresponding to each group of sensing components; calculating the difference coefficient corresponding to the intra-group difference and inter-group difference as the signal difference; and judging whether the signal difference is within the coefficient fluctuation range of the difference detection parameter to obtain a third judgment result indicating whether it conforms.

[0049] Furthermore, the signal difference between the initial photoelectric signal and the basic photoelectric signal of each photoelectric sensor is obtained. This signal difference can refer to the difference in the intensity of the photoelectric signal sensed by the same photoelectric sensor at two different detection times. Specifically, the initial photoelectric signal is the signal value collected by the sensor after the nozzle is extracted, representing the unobstructed state of the light path after nozzle extraction. The basic photoelectric signal is the signal value collected again by the system after a preset detection interval, representing the continuous signal collected by the sensor when the nozzle is in position. The signal difference is obtained by the processor of the control terminal subtracting the value of the initial photoelectric signal from the value of the basic photoelectric signal, or by calculating the absolute value of the difference. This difference reflects the change in the voltage signal when the light path obstruction changes within the preset detection time interval.

[0050] The intra-group and inter-group differences of the sensing components are obtained based on the signal differences corresponding to each group of sensing components. Intra-group differences refer to the dispersion or maximum deviation of the signal differences between individual photoelectric sensors within the same group of sensing components. Inter-group differences refer to the deviation between the average or representative signal differences between different groups of sensing components. Specifically, the control terminal first divides multiple photoelectric sensors into different groups (e.g., left and right groups based on circuit layout), and then calculates the variance, standard deviation, or range of the signal differences of all sensors within each group as the intra-group difference. Next, the absolute value of the difference between the average signal difference of the first group of sensing components and the average signal difference of the second group of sensing components is calculated as the inter-group difference. By obtaining the intra-group and inter-group differences, the synchronization of the sensor array's operating state can be evaluated from two dimensions: local consistency and overall balance, identifying abnormal changes in individual sensors or systematic drift of the entire sensor group.

[0051] The difference coefficients corresponding to the differences within and between groups are calculated as signal differences. The difference coefficient is a comprehensive quantitative indicator used to normalize the differences between within and between groups, enabling consistent comparisons across different magnitudes or operating conditions. For example, the function for calculating the difference coefficient could be: ; where v j For the difference between groups, v n1 v represents the intra-group difference of the first group of sensing components. n2 This represents the intra-group difference in the second set of sensing components. By constructing this difference coefficient, a multi-dimensional quantitative assessment of the sensor's dynamic behavior is achieved, enabling the system to sensitively detect local loosening caused by mechanical vibration or overall drift caused by changes in ambient light.

[0052] The process involves determining whether the signal difference falls within the fluctuation range of the difference detection parameter coefficient, resulting in a third judgment result indicating compliance. The difference detection parameter is a pre-stored judgment standard in the control terminal, its core content including the coefficient fluctuation range. This range defines the upper and lower limits of the allowable signal difference coefficient under normal sensor operation. The coefficient fluctuation range is typically derived from statistical analysis of extensive historical normal operation data, covering normal temperature drift, slight vibration, and other interference factors. The judgment process compares the calculated signal difference (i.e., the difference coefficient) with this coefficient fluctuation range: if the signal difference is less than or equal to the upper limit of the coefficient fluctuation range and greater than or equal to the lower limit, the signal difference is considered to meet expectations, resulting in a compliant third judgment result; conversely, if the signal difference exceeds this range, it is considered non-compliant. This judgment step accurately identifies sensor performance degradation or abnormalities, ensuring the reliability of the laminating machine during long-term operation and preventing malfunctions or downtime due to sensor failure.

[0053] S160. If the abnormality detection result is no abnormality, generate the corresponding reset prompt information and return to the step of receiving the initial photoelectric signal sensed by each photoelectric sensor in each group of the sensing components.

[0054] Specifically, the reset prompt message is the final confirmation instruction generated by the system after confirming that the entire detection cycle (including arrival, delayed re-inspection, and anomaly troubleshooting) has been completed normally, marking the successful completion of the current detection cycle. This step, by returning to the above, constructs a closed-loop continuous monitoring mechanism, ensuring that the laminating machine can perceive changes in the nozzle status in real time during long-term operation. Specifically, when the anomaly detection result confirms no anomalies, the control terminal outputs that the system reset is complete, prepares for the next cycle's prompt, and immediately resets the state machine, re-entering the listening state to receive the initial photoelectric signal. This cyclic execution mechanism not only achieves automated continuous operation but also prevents the accumulation of faults through self-checking in each cycle.

[0055] The integrated photoelectric detection method for a bonding machine disclosed in the above embodiments includes: receiving initial photoelectric signals sensed by each photoelectric sensor in each group of sensing components; detecting the initial photoelectric signals according to a preset positioning detection rule to obtain a positioning detection signal indicating whether the signal is in position; generating corresponding positioning prompt information if all positioning detection signals indicate that the signal is in position; after a preset detection time interval, detecting the newly received basic photoelectric signals again according to a preset reset detection rule to obtain a reset detection signal indicating whether the reset is successful; if all reset detection signals indicate successful reset, performing anomaly detection on the initial photoelectric signals and basic photoelectric signals according to a preset anomaly detection rule to obtain an anomaly detection result; generating corresponding reset prompt information and returning to the step of receiving the initial photoelectric signals sensed by each photoelectric sensor in each group of sensing components. This invention can effectively improve detection accuracy, anti-interference capability, and maintenance efficiency, and is suitable for detection scenarios of high-precision bonding machines under continuous operation.

[0056] In the integrated photoelectric detection method for a bonding machine disclosed in the above embodiments, the method is applied to a control terminal, which is communicatively connected to two sets of sensing components integrating multiple photoelectric sensors. The method includes receiving initial photoelectric signals from each set of photoelectric sensors and performing position detection; if all are in position, a prompt is generated; after a preset interval, a reset detection is performed on the newly received basic photoelectric signals; if the reset is successful, an anomaly detection is performed based on the initial and basic photoelectric signals; if no anomaly is found, a reset prompt is generated and the process is repeated cyclically. This application can effectively solve the problems of high false detection rate, unreliable reset confirmation, and lack of systematic anomaly diagnosis mechanism in existing detection schemes, thereby improving the accuracy of the detection process and the stability of system operation.

[0057] This invention also provides an integrated photoelectric detection and control device for a laminating machine. This integrated photoelectric detection and control device can be configured in a control terminal 10 and is used to execute any of the aforementioned embodiments of the integrated photoelectric detection method for a laminating machine. Specifically, please refer to... Figure 5 , Figure 5 This is a schematic block diagram of an integrated photoelectric detection and control device for a bonding machine provided in an embodiment of the present invention.

[0058] like Figure 5 As shown, the integrated photoelectric detection and control device 100 for the bonding machine includes an initial photoelectric signal receiving unit 110, a position detection signal acquisition unit 120, a position prompt information generation unit 130, a reset detection signal acquisition unit 140, an abnormal detection result acquisition unit 150, and a reset prompt information generation unit 160.

[0059] The initial photoelectric signal receiving unit 110 is used to receive the initial photoelectric signal sensed by each photoelectric sensor in each group of the sensing components.

[0060] The arrival detection signal acquisition unit 120 is used to detect the initial photoelectric signal according to the preset arrival detection rules to obtain an arrival detection signal indicating whether the person is in position.

[0061] The arrival prompt information generation unit 130 is used to generate corresponding arrival prompt information if all the arrival detection signals are in place.

[0062] The reset detection signal acquisition unit 140 is used to re-detect the newly received basic photoelectric signal according to the preset reset detection rules after a preset detection time interval, so as to obtain a reset detection signal indicating whether the reset was successful.

[0063] The anomaly detection result acquisition unit 150 is used to perform anomaly detection on the initial photoelectric signal and the basic photoelectric signal according to the preset anomaly detection rules if all the reset detection signals are successful, and obtain the anomaly detection result.

[0064] The reset prompt information generation unit 160 is used to generate corresponding reset prompt information and return to execute the steps corresponding to the initial photoelectric signal receiving unit if the abnormality detection result is no abnormality.

[0065] The integrated photoelectric detection and control device for a laminating machine provided in this embodiment of the invention applies the aforementioned integrated photoelectric detection method for a laminating machine. This method is applied to a control terminal, which is communicatively connected to two sets of sensing components integrating multiple photoelectric sensors. The method includes receiving initial photoelectric signals from each set of photoelectric sensors and performing position detection; if all are in position, a prompt is generated; after a preset interval, a reset detection is performed on the newly received basic photoelectric signals; if the reset is successful, an anomaly detection is performed based on the initial and basic photoelectric signals; if no anomaly is found, a reset prompt is generated and the process is repeated cyclically. This application can effectively solve the problems of high false detection rate, unreliable reset confirmation, and lack of systematic anomaly diagnosis mechanism in existing detection schemes, improving the accuracy of the detection process and the stability of system operation.

[0066] The aforementioned integrated photoelectric detection and control device for laminating machines can be implemented as a computer program, which can, for example... Figure 6 It runs on the computer device shown.

[0067] Please see Figure 6 , Figure 6 This is a schematic block diagram of a computer device provided in an embodiment of the present invention. The computer device may be a control terminal for executing an integrated photoelectric detection method for a laminating machine to achieve detection.

[0068] See Figure 6 The computer device 500 includes a processor 502, a memory, and a communication interface 505 connected via a communication bus 501. The memory may include a storage medium 503 and internal memory 504.

[0069] The storage medium 503 may store an operating system 5031 and a computer program 5032. When the computer program 5032 is executed, it causes the processor 502 to execute an integrated photoelectric detection method for the bonding machine. The storage medium 503 may be a volatile storage medium or a non-volatile storage medium.

[0070] The processor 502 provides computing and control capabilities to support the operation of the entire computer device 500.

[0071] The internal memory 504 provides an environment for the operation of the computer program 5032 in the storage medium 503. When the computer program 5032 is executed by the processor 502, the processor 502 can execute an integrated photoelectric detection method for the bonding machine.

[0072] This communication interface 505 is used for network communication, such as providing data transmission. Those skilled in the art will understand that... Figure 6 The structure shown is merely a block diagram of a portion of the structure related to the present invention and does not constitute a limitation on the computer device 500 to which the present invention is applied. The specific computer device 500 may include more or fewer components than shown in the figure, or combine certain components, or have different component arrangements.

[0073] The processor 502 is used to run the computer program 5032 stored in the memory to implement the corresponding functions in the integrated photoelectric detection method for the bonding machine described above.

[0074] Those skilled in the art will understand that Figure 6 The embodiments of the computer device shown do not constitute a limitation on the specific configuration of the computer device. In other embodiments, the computer device may include more or fewer components than illustrated, or combine certain components, or have different component arrangements. For example, in some embodiments, the computer device may include only memory and a processor. In such embodiments, the structure and function of the memory and processor are different from those shown. Figure 6 The embodiments shown are consistent and will not be repeated here.

[0075] It should be understood that, in this embodiment of the invention, the processor 502 may be a Central Processing Unit (CPU), or it may 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 may be a microprocessor or any conventional processor.

[0076] In another embodiment of the invention, a computer-readable storage medium is provided. This computer-readable storage medium may be volatile or non-volatile. The computer-readable storage medium stores a computer program, which, when executed by a processor, implements the steps included in the above-described integrated photoelectric detection method for a bonding machine.

[0077] Those skilled in the art will readily understand that, for the sake of convenience and brevity, the specific working processes of the devices, apparatuses, and units described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here. 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, computer software, or a combination of both. To clearly illustrate the interchangeability of hardware and software, the composition and steps of each example have been generally described in terms of function in the foregoing description. 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 invention.

[0078] In the embodiments provided by this invention, it should be understood that the disclosed devices, apparatuses, and methods can be implemented in other ways. For example, the apparatus 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. Units with the same function may be grouped into one unit. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. In addition, 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, or it may be an electrical, mechanical, or other form of connection.

[0079] 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 the embodiments of the present invention, depending on actual needs.

[0080] Furthermore, the functional units in the various embodiments of the present invention 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.

[0081] 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, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a computer-readable storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present invention. The aforementioned computer-readable storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), magnetic disks, or optical disks.

[0082] The above description is merely a specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any person skilled in the art can easily conceive of various equivalent modifications or substitutions within the technical scope disclosed in the present invention, and these modifications or substitutions should all be covered within the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be determined by the scope of the claims.

Claims

1. An integrated photoelectric detection method for a laminating machine, characterized in that, The method is applied to a control terminal, which is communicatively connected to two sets of sensing components to transmit data information. Each set of sensing components integrates multiple photoelectric sensors. The method includes: Receive the initial photoelectric signals sensed by each photoelectric sensor in each group of the sensing components; The initial photoelectric signal is detected according to the preset arrival detection rules to obtain an arrival detection signal indicating whether the position is in place. If all the arrival detection signals are in place, a corresponding arrival prompt message is generated; After a preset detection time interval, the newly received basic photoelectric signal is detected again according to the preset reset detection rules to obtain a reset detection signal indicating whether the reset was successful. If all the reset detection signals are successful, the initial photoelectric signal and the basic photoelectric signal are subjected to anomaly detection according to the preset anomaly detection rules to obtain the anomaly detection result; If the anomaly detection result is no anomaly, a corresponding reset prompt message is generated and the process returns to the step of receiving the initial photoelectric signals sensed by each photoelectric sensor in each group of the sensing components.

2. The integrated photoelectric detection method for a laminating machine according to claim 1, characterized in that, The step of performing anomaly detection on the initial photoelectric signal and the basic photoelectric signal according to preset anomaly detection rules to obtain anomaly detection results includes: The initial photoelectric signal of each group of sensing components is judged to determine whether it conforms to the initial signal detection parameters in the anomaly detection rules, and a first judgment result is obtained; The second judgment result is obtained by judging whether the basic photoelectric signals of each group of sensing components meet the basic signal detection parameters in the anomaly detection rules. The signal difference between the initial photoelectric signal and the basic photoelectric signal of each group of sensing components is judged to determine whether it meets the difference detection parameters in the anomaly detection rules, and a third judgment result is obtained. If the first judgment result, the second judgment result, or the third judgment result is inconsistent, an abnormality detection result is obtained; If the first judgment result, the second judgment result, and the third judgment result are all consistent, an anomaly detection result without abnormality is obtained.

3. The integrated photoelectric detection method for a bonding machine according to claim 2, characterized in that, The step of judging whether the initial photoelectric signals of each group of sensing components meet the initial signal detection parameters in the anomaly detection rules to obtain a first judgment result includes: Acquire the initial differences within and between groups corresponding to the initial photoelectric signals of the sensing components in each group; Determine whether the initial difference within the group is within the fluctuation range of the initial signal detection parameter within the group, and determine whether the initial difference between groups is within the fluctuation range of the initial signal detection parameter between groups, to obtain a first judgment result indicating whether the conditions are met.

4. The integrated photoelectric detection method for a bonding machine according to claim 2, characterized in that, The step of judging whether the basic photoelectric signals of each group of sensing components meet the basic signal detection parameters in the anomaly detection rules to obtain a second judgment result includes: Acquire the basic differences within and between groups corresponding to the basic photoelectric signals of the sensing components in each group; Determine whether the intra-group baseline difference is within the intra-group fluctuation range of the baseline signal detection parameters, and determine whether the inter-group baseline difference is within the inter-group fluctuation range of the baseline signal detection parameters, to obtain a second determination result of whether they meet the requirements.

5. The integrated photoelectric detection method for a laminating machine according to claim 2, characterized in that, The step of judging whether the signal difference between the initial photoelectric signal and the basic photoelectric signal of each group of sensing components meets the difference detection parameters in the anomaly detection rules to obtain a third judgment result includes: Obtain the signal difference between the initial photoelectric signal and the basic photoelectric signal of each of the photoelectric sensors; Based on the signal difference corresponding to each group of sensing components, obtain the intra-group difference and inter-group difference of the sensing components in each group; Calculate the difference coefficients corresponding to the intra-group difference and the inter-group difference as the signal difference; Determine whether the signal difference is within the fluctuation range of the coefficient of the difference detection parameter to obtain a third judgment result of whether it meets the requirements.

6. The integrated photoelectric detection method for a laminating machine according to any one of claims 2-5, characterized in that, The step of detecting the initial photoelectric signal according to a preset arrival detection rule to obtain an arrival detection signal indicating whether the person has arrived includes: Determine whether the signal value of the initial photoelectric signal exceeds the arrival detection threshold in the arrival detection rule; If the signal value of the initial photoelectric signal exceeds the arrival detection threshold, an arrival detection signal is obtained. If the signal value of the initial photoelectric signal does not exceed the bit detection threshold, a non-positional position detection signal is obtained.

7. The integrated photoelectric detection method for a laminating machine according to any one of claims 2-5, characterized in that, The step of re-detecting the newly received basic photoelectric signal according to a preset reset detection rule to obtain a reset detection signal indicating whether the reset was successful includes: Determine whether the signal value of the basic photoelectric signal does not exceed the reset detection threshold in the reset detection rule; If the signal value of the basic photoelectric signal does not exceed the reset detection threshold, a reset detection result indicating successful reset is obtained. If the signal value of the basic photoelectric signal exceeds the reset detection threshold, a reset detection result indicating unsuccessful reset is obtained.

8. An integrated photoelectric detection and control device for a laminating machine, characterized in that, The device is configured on a control terminal, which is communicatively connected to two sets of sensing components to transmit data information. Each set of sensing components integrates multiple photoelectric sensors. The device is used to execute the integrated photoelectric detection method for a bonding machine as described in any one of claims 1-7. The device includes: An initial photoelectric signal receiving unit is used to receive the initial photoelectric signal sensed by each photoelectric sensor in each group of the sensing components. The arrival detection signal acquisition unit is used to detect the initial photoelectric signal according to the preset arrival detection rules to obtain an arrival detection signal indicating whether the person has arrived. The arrival prompt information generation unit is used to generate corresponding arrival prompt information if all the arrival detection signals are in place; The reset detection signal acquisition unit is used to re-detect the newly received basic photoelectric signal according to the preset reset detection rules after a preset detection time interval, and obtain a reset detection signal indicating whether the reset was successful. An anomaly detection result acquisition unit is used to perform anomaly detection on the initial photoelectric signal and the basic photoelectric signal according to a preset anomaly detection rule if all the reset detection signals are successful, and obtain anomaly detection results. The reset prompt information generation unit is used to generate corresponding reset prompt information and return to execute the steps corresponding to the initial photoelectric signal receiving unit if the abnormality detection result is no abnormality.

9. A computer device, characterized in that, The device includes a processor, a communication interface, a memory, and a communication bus, wherein the processor, the communication interface, and the memory communicate with each other through the communication bus; Memory, used to store computer programs; When the processor executes the program stored in the memory, it implements the steps of the integrated photoelectric detection method for a bonding machine according to any one of claims 1-7.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the steps of the integrated photoelectric detection method for a bonding machine as described in any one of claims 1-7.

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