Foreign matter prevention alarm system based on rubber floor vulcanization equipment

Abstract

The invention relates to the field of equipment monitoring, in particular to a foreign matter prevention alarm system based on rubber floor vulcanization equipment, which comprises an interference parameter acquisition module, an interference coefficient construction module, a foreign matter detection module, a foreign matter duplicate removal module, a foreign matter traceability module and a management database, according to the system, the detection interference index of the vulcanization equipment is constructed through the environmental interference parameter in the vulcanization chamber and the interference parameter of the equipment, the interference compensation factor is calculated, the foreign matter detection is performed by combining the multi-modal detection method with the interference compensation factor, and the foreign matter duplicate removal is performed, so that the accuracy and comprehensiveness of the foreign matter detection are improved; the similar foreign matter detection records are screened through similarity analysis, and the foreign matter traceability result is output by using the mining association rule, so that the distribution, source and other conditions of the foreign matters in the vulcanization equipment can be determined.

Description

Technical Field

[0001] The invention relates to the field of equipment monitoring, and in particular to an anti-foreign matter alarm system based on rubber floor vulcanization equipment. Background Art

[0002] Rubber flooring has been widely used in many fields due to its good elasticity, anti-slip, wear resistance and environmental protection. In recent years, with the improvement of people's quality of life and environmental protection requirements, the market demand for rubber flooring has continued to grow, and the requirements for its production quality have become increasingly stringent.

[0003] Vulcanization is a key link in the production process of rubber flooring and plays a decisive role in the final quality of the product. During the vulcanization process, rubber molecules form a three-dimensional network structure through cross-linking reaction, thereby giving the rubber flooring good physical and mechanical properties. However, the mixing of foreign matter may seriously destroy this process and have many negative effects on the quality of rubber flooring. In industrial production, detection of foreign matter in equipment is crucial, but there are some limitations in the detection of foreign matter in the existing technology.

[0004] For example, the existing Chinese patent application number 201680052854.1 discloses a parison foreign body detection system. This solution captures clues of the presence of foreign matter inside or on the surface of the parison based on an infrared detection method. A judgment area is partially set relative to the parison and a threshold of infrared light is set. Through a pre-set reasonable threshold, it can be more accurately judged whether the detection value exceeds the normal range, thereby inferring the presence or absence of foreign matter. At the same time, multiple judgment areas with different thresholds can be set to adapt to the differences in sensitivity of different parts of the parison to foreign matter detection.

[0005] The existing Chinese patent application number 201710103634.3 discloses an integrated machine for detecting and removing foreign matter in rubber strips. This solution uses an X-ray foreign matter detector to detect foreign matter in the rubber strips. X-rays are penetrating and can detect foreign matter that may exist inside the rubber strips, such as metals and other opaque materials or materials with different X-ray absorption rates from the rubber strip material. At the same time, a camera is installed at the front end of the X-ray foreign matter detector to capture intuitive images of the surface of the rubber strip, which supplements the possible deficiencies of X-ray detection in surface detection.

[0006] The above schemes all have the following shortcomings: First, the above schemes rely on infrared and X-rays to detect foreign objects, but they all ignore the impact of interference sources on the accuracy of foreign object recognition. For example, in a complex production environment, various electromagnetic interferences, vibration interferences, etc. may cause deviations in X-ray imaging, thereby affecting the accurate recognition of foreign objects. It is necessary to analyze the interference factors of foreign object detection and perform interference compensation.

[0007] 2. The above scheme uses different detection methods to detect foreign matter, but does not effectively manage and deeply analyze the detection records. Even if foreign matter is detected, it is difficult to quickly determine the distribution and source of foreign matter in the entire production process. It is impossible to fundamentally solve the problem of foreign matter generation, which is not conducive to the optimization and improvement of the production process. Summary of the invention

[0008] In order to overcome the shortcomings of the background technology, the embodiment of the present invention provides an anti-foreign matter alarm system based on rubber floor vulcanization equipment, which can effectively solve the problems involved in the above background technology.

[0009] The purpose of the present invention can be achieved through the following technical solutions: The present invention provides an anti-foreign object alarm system based on rubber floor vulcanization equipment, including: an interference parameter acquisition module, which is used to obtain environmental interference parameters in the vulcanization chamber and equipment's own interference parameters.

[0010] The interference coefficient construction module is used to construct the detection interference index of the vulcanization equipment through the environmental interference parameters in the vulcanization chamber and the equipment's own interference parameters, and calculate the interference compensation factor.

[0011] The foreign body detection module is used to detect foreign bodies by using a multimodal detection method combined with an interference compensation factor.

[0012] The foreign object deduplication module is used to formulate foreign object matching rules for foreign object deduplication.

[0013] The foreign body tracing module is used to screen similar foreign body detection records through similarity analysis and output foreign body tracing results by mining association rules.

[0014] Management database, used to store various historical foreign body detection records.

[0015] Furthermore, the environmental interference parameters in the vulcanization chamber include environmental temperature, environmental humidity, and electromagnetic interference intensity, and the interference parameters of the equipment itself include electromagnetic interference degree and vibration interference degree.

[0016] Preferably, the specific analysis method of the environmental interference parameters in the vulcanization chamber is: obtaining the ambient temperature, ambient humidity, and electromagnetic interference intensity in the vulcanization chamber, recorded as , set the standard temperature range for normal operation of the vulcanization equipment, and record the upper and lower temperature limits corresponding to the standard temperature range for normal operation of the vulcanization equipment as , calculate the temperature disturbance in the curing chamber According to the calculation method of the temperature interference degree in the vulcanization chamber, the humidity interference degree in the vulcanization chamber is obtained respectively. , the degree of electromagnetic interference in the vulcanization chamber , according to the preset weights, and through weighted calculation, the environmental interference coefficient in the vulcanization chamber is obtained, which is recorded as .

[0017] Preferably, the specific analysis method of the interference parameters of the equipment itself is: select several monitoring time points according to the preset equal time interval principle, operate the vulcanization equipment, obtain the electromagnetic intensity generated by the vulcanization equipment at each monitoring time point, and compare it with the preset electromagnetic tolerance intensity to obtain the electromagnetic interference degree of the vulcanization equipment.

[0018] The vibration times of the vulcanizing equipment within the set time are recorded, and the amplitude of each vibration is obtained, which is recorded as , Indicates The number of vibrations, The vibration frequency of the vulcanizing equipment is calculated by the vibration times and setting duration of the vulcanizing equipment, which is recorded as , substituting it into the formula Get the vibration disturbance degree of the vulcanizing equipment ,in Indicates the preset vibration frequency threshold, Indicates the preset vibration amplitude threshold, They respectively represent the weight factors of the vibration frequency and vibration amplitude of the vulcanizing equipment.

[0019] According to the preset, weights are assigned to the electromagnetic interference degree and vibration interference degree of the vulcanizing equipment, and the internal interference coefficient of the vulcanizing equipment is obtained by weighted calculation, which is recorded as .

[0020] Preferably, the specific operation method of the interference coefficient building module is: reading the environmental interference coefficient in the vulcanization chamber , Internal interference coefficient of vulcanizing equipment , substituting it into the formula Get the detection interference index of the vulcanization equipment , Respectively represent the weight factors of the preset environmental interference coefficient and internal interference coefficient, The natural constant is represented, an interference compensation model is constructed, and the detection interference index of the vulcanization equipment is substituted into the interference compensation model. Based on the least squares method, the interference compensation factor is obtained.

[0021] Furthermore, the multimodal detection method includes image detection, electromagnetic signal detection, and ultrasonic detection.

[0022] Preferably, the specific operation method of the foreign body detection module is: installing a high-definition industrial camera in the visible area inside the mold of the vulcanization equipment, setting each sampling time point during the working process of the vulcanization equipment according to the preset equal time interval principle, collecting the internal image of the mold of the vulcanization equipment at each time point and introducing the interference compensation factor adjustment, denoising the adjusted internal image of the mold of the vulcanization equipment at each time point, and converting it into a grayscale image, using an edge detection algorithm to mark the edge contour of the object in the internal image of the mold of the vulcanization equipment at each time point, and obtaining the texture features of the object through the grayscale co-occurrence matrix, training a machine learning classifier based on historical foreign body images and normal image samples, and inputting the extracted edge contour and texture features of the object as input feature vectors into the machine learning classifier, outputting whether there is a foreign body, and if there is a foreign body, recording it.

[0023] During the operation of the vulcanization equipment, electromagnetic signals are continuously collected at a set frequency through the electromagnetic induction coil, and the compensation factor is introduced to correct the electromagnetic signal strength. The compensated electromagnetic signal strength is recorded as each electromagnetic signal, and each electromagnetic signal is filtered to extract characteristic parameters related to metal foreign matter. The characteristic parameters of each electromagnetic signal are compared with a preset detection threshold. If the characteristic parameters of an electromagnetic signal exceed the preset detection threshold, it is determined that there is metal foreign matter when the electromagnetic signal is collected, and it is recorded.

[0024] An ultrasonic probe is installed inside the vulcanization equipment. During the operation of the vulcanization equipment, ultrasonic waves are emitted at the set frequency, and the duration of each ultrasonic wave from emission to reception of the reflected wave is recorded. The normal time range from ultrasonic emission to reception of reflection is set, and the duration of each ultrasonic wave from emission to reception of the reflected wave is put into the range for comparison. If the duration from emission to reception of the reflected wave of a certain ultrasonic wave is not within the normal time range from ultrasonic emission to reception of reflection, it is determined that there is a foreign object and it is recorded.

[0025] Preferably, the specific operation method of the foreign object deduplication module is: obtain each foreign object record, extract the time point when each foreign object is detected therefrom, record it as each foreign object detection time point, divide the time period according to the set time length, and filter out the foreign object records in the same time period according to each foreign object detection time point, and assign a set time weight to it.

[0026] Take any corner of the internal detection area of ​​the vulcanizing equipment as the coordinate origin, and establish a three-dimensional coordinate system according to the right-hand rule. The x-axis is along the length direction of the equipment, the y-axis is along the width direction, and the z-axis is along the height direction. The internal detection area of ​​the vulcanizing equipment is gridded into sub-areas, and the coordinate range of each sub-area is obtained. The foreign objects detected in each foreign object record are substituted into the three-dimensional coordinate system to obtain the coordinates of each foreign object. Based on the coordinate range of each sub-area, the foreign objects located in the same sub-area are screened out, and the set position weight is assigned to each sub-area.

[0027] By taking the weighted sum of the time weight and position weight of each foreign object, the comprehensive similarity of each foreign object is obtained, and a comprehensive similarity threshold is set. The comprehensive similarities of each foreign object are compared with them respectively, and the foreign objects whose comprehensive similarity is greater than or equal to the comprehensive similarity threshold are screened out. The foreign object records corresponding to each foreign object are determined to be the detection records of the same foreign object, and the foreign object records are deduplicated.

[0028] Preferably, the specific analysis method of the similarity analysis is: record the deduplicated foreign object records as foreign object detection records, upload them to the management database, extract the time points when the foreign objects are detected in the foreign object detection records and each historical foreign object detection record stored in the management database, divide the time points when the foreign objects are detected into two parts: date and time, and after removing the date, subtract the time to obtain the foreign object detection time difference corresponding to the foreign object detection record and each historical foreign object detection record.

[0029] The coordinates of the foreign objects detected in the foreign object detection record and each historical foreign object detection record stored in the management database are extracted, and the position difference of the foreign objects corresponding to the foreign object detection record and each historical foreign object detection record is obtained by subtraction.

[0030] The foreign object detection time difference and position difference between the foreign object detection record and each historical foreign object detection record are recorded as , Indicates The number of the historical foreign body detection record, , Represents the number of historical foreign body detection records, through the formula Get the similarity between the foreign body detection record and each historical foreign body detection record ,in Respectively represent the preset reference values ​​of time difference and position difference, Represents the weight factor of the preset time difference and position difference.

[0031] Preferably, the specific operation method of the foreign object tracing module is: setting a similarity threshold, screening out historical foreign object detection records whose similarity with the foreign object detection record is greater than the similarity threshold, recording them as similar foreign object detection records, using the association rule algorithm in data mining, treating the foreign object detection record and the information in the similar foreign object detection records as items in the transaction, and outputting the foreign object tracing results by mining the association rules.

[0032] Compared with the prior art, the present invention has the following beneficial effects: 1. The system constructs the detection interference index of the vulcanization equipment through the environmental interference parameters in the vulcanization chamber and the equipment's own interference parameters, calculates the interference compensation factor, and uses a multimodal detection method combined with the interference compensation factor to detect foreign matter, thereby reducing misjudgments caused by interference factors and greatly improving the accuracy of foreign matter detection.

[0033] 2. The present invention deduplicates foreign matter detection records, screens similar foreign matter detection records through similarity analysis, and outputs foreign matter tracing results by mining association rules, which helps to determine the distribution and source of foreign matter in the vulcanization equipment. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for describing the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

[0035] Figure 1 This is a system module connection diagram of the present invention.

[0036] Figure 2 for Figure 1 Flowchart of the foreign object deduplication module.

[0037] Figure 3 System flow chart of the present invention. DETAILED DESCRIPTION

[0038] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0039] See also Figure 1 and Figure 3 As shown, a foreign body alarm system based on rubber floor vulcanization equipment includes an interference parameter acquisition module, an interference coefficient construction module, a foreign body detection module, a foreign body deduplication module, a foreign body tracing module, and a management database.

[0040] The interference parameter acquisition module is connected to the interference coefficient construction module, the management database is connected to the interference coefficient construction module, the foreign object detection module, the foreign object deduplication module, and the foreign object tracing module, and the foreign object detection module, the foreign object tracing module, and the foreign object deduplication module are connected.

[0041] The interference parameter acquisition module is used to obtain the environmental interference parameters in the vulcanization chamber and the interference parameters of the equipment itself.

[0042] The environmental interference parameters in the vulcanization chamber include environmental temperature, environmental humidity, and electromagnetic interference intensity, and the interference parameters of the equipment itself include electromagnetic interference degree and vibration interference degree.

[0043] The specific analysis method of the environmental interference parameters in the vulcanization chamber is: obtain the environmental temperature, environmental humidity, and electromagnetic interference intensity in the vulcanization chamber, and record them as , set the standard temperature range for normal operation of the vulcanization equipment, and record the upper and lower temperature limits corresponding to the standard temperature range for normal operation of the vulcanization equipment as , calculate the temperature disturbance in the curing chamber According to the calculation method of the temperature interference degree in the vulcanization chamber, the humidity interference degree in the vulcanization chamber is obtained respectively. , the degree of electromagnetic interference in the vulcanization chamber , according to the preset weights, and through weighted calculation, the environmental interference coefficient in the vulcanization chamber is obtained, which is recorded as It is convenient to compare the environmental conditions of different vulcanization chambers or different time periods, and evaluate the interference of the vulcanization process environment.

[0044] The formula for the temperature interference degree in the vulcanization chamber is as follows: when the temperature is higher than the upper limit of the standard temperature range, the temperature interference degree is the ratio of the part exceeding the upper limit to the upper limit value; when the temperature is lower than the lower limit of the standard temperature range, the temperature interference degree is the ratio of the part below the lower limit to the lower limit value; when the temperature is within the standard temperature range for normal operation of the vulcanization equipment, there is no temperature interference.

[0045] The specific analysis method of the equipment's own interference parameters is: select a number of monitoring time points according to the preset equal time interval principle, operate the vulcanization equipment, obtain the electromagnetic intensity generated by the vulcanization equipment at each monitoring time point, and compare it with the preset electromagnetic tolerance intensity to obtain the electromagnetic interference degree of the vulcanization equipment.

[0046] The vibration times of the vulcanizing equipment within the set time are recorded, and the amplitude of each vibration is obtained, which is recorded as , Indicates The number of vibrations, The vibration frequency of the vulcanizing equipment is calculated by the vibration times and setting duration of the vulcanizing equipment, which is recorded as , substituting it into the formula Get the vibration disturbance degree of the vulcanizing equipment ,in Indicates the preset vibration frequency threshold, Indicates the preset vibration amplitude threshold, They represent the weight factors of the vibration frequency and vibration amplitude of the vulcanizing equipment respectively; they provide a basis for optimizing the electromagnetic protection measures of the vulcanizing equipment. For example, if the electromagnetic interference level is high within a specific time period, the electromagnetic shielding can be strengthened or the equipment layout can be adjusted in a targeted manner; excessive vibration may affect the uniformity of the vulcanization process and cause quality problems in the vulcanized products. Monitoring the vibration interference level can help to promptly discover and solve vibration-related problems, reduce the additional stress and wear of the equipment due to vibration, and thus extend the service life of the equipment.

[0047] It should be noted that vibration frequency and vibration amplitude are two important factors in the vibration interference degree of vulcanizing equipment. is the proportional relationship between the vibration frequency and the frequency threshold, is a pre-set standard value. , the value of this item is 1, which means that the vibration frequency just reaches the expected allowable value, and the vibration interference degree is a reference value. , the ratio is less than 1, indicating that the interference in vibration frequency is relatively small. , the ratio is greater than 1, indicating that the interference caused by the vibration frequency exceeds the normal range. is the proportional relationship of the amplitude relative to the amplitude threshold, is a pre-set standard value. When the value of this item is 0, it means that the overall vibration amplitude is within the threshold range and the interference is small. , the value of this item is greater than 0, indicating that there is a large interference in the vibration amplitude.

[0048] It should be noted that, in a specific embodiment, It can be set to 0.6. It can be set to 0.4. During the vulcanization process, different vulcanization materials and processes may have specific requirements for the vibration frequency. For example, in some rubber vulcanization processes, a suitable vibration frequency is helpful for the orderly arrangement of rubber molecular chains and the cross-linking reaction. If the vibration frequency deviates from the ideal value, it may seriously affect the speed and degree of the vulcanization reaction, resulting in incomplete vulcanization or excessive vulcanization. Problems such as, for example, have a great impact on the performance of the final product, such as hardness and elasticity. Although the vibration amplitude will also affect the vulcanization process, its influence is relative to the vibration frequency. Within a certain range, a smaller change in the vibration amplitude may not have a fundamental change in the vulcanization reaction like a change in the vibration frequency. Therefore, the weight corresponding to the vibration frequency is greater.

[0049] According to the preset, weights are assigned to the electromagnetic interference degree and vibration interference degree of the vulcanizing equipment, and the internal interference coefficient of the vulcanizing equipment is obtained by weighted calculation, which is recorded as ; If the internal interference coefficient exceeds a certain threshold, it can be judged that the equipment is in a poor operating state and requires maintenance or adjustment.

[0050] The interference coefficient construction module is used to construct the detection interference index of the vulcanization equipment through the environmental interference parameters in the vulcanization chamber and the equipment's own interference parameters, and calculate the interference compensation factor.

[0051] The specific operation method of the interference coefficient building module is: reading the environmental interference coefficient in the vulcanization chamber , Internal interference coefficient of vulcanizing equipment , substituting it into the formula Get the detection interference index of the vulcanization equipment , Respectively represent the weight factors of the preset environmental interference coefficient and internal interference coefficient, Representing natural constants, constructing an interference compensation model, and substituting the detection interference index of the vulcanization equipment into the interference compensation model, based on the least squares method, the interference compensation factor is obtained; by performing corresponding compensation operations on the equipment through the interference compensation factor, the impact of interference on the equipment can be reduced, so that the equipment can operate more stably.

[0052] It should be noted that in the detection interference index of vulcanization equipment, the environmental interference coefficient and the internal interference coefficient are two main factors. When the environmental interference coefficient is 0, there is no environmental interference. This indicates that in an ideal situation without environmental interference, this part has no effect on the detection interference index. Increase, The value of will also increase accordingly, the exponential function Used to describe the impact of the internal interference coefficient of the equipment on the detection interference index, exponential function It decreases rapidly as it increases, and its inverse means that the greater the internal interference coefficient of the equipment, the greater the actual impact on the detection of the vulcanization equipment.

[0053] It should be noted that, in a specific embodiment, It can be set to 0.4. It can be set to 0.6. Although environmental interference factors will affect the detection of vulcanization equipment, such as ambient temperature and humidity, these interferences can be controlled and reduced to a certain extent through appropriate equipment design and installation site selection. There are many components and subsystems inside the vulcanization equipment, and these internal subsystems may cause complex mutual interference. The types and relationships of this internal interference are more complex and diverse than environmental interference, so the weight corresponding to the internal interference coefficient is greater.

[0054] The foreign body detection module is used to detect foreign bodies by using a multimodal detection method combined with an interference compensation factor.

[0055] The multimodal detection method includes image detection, electromagnetic signal detection, and ultrasonic detection.

[0056] The specific operation method of the foreign body detection module is as follows: a high-definition industrial camera is installed in the visible area inside the mold of the vulcanization equipment, each sampling time point is set during the working process of the vulcanization equipment according to the preset equal time interval principle, the internal image of the mold of the vulcanization equipment at each time point is collected and the interference compensation factor is introduced for adjustment, the adjusted internal image of the mold of the vulcanization equipment at each time point is denoised and converted into a grayscale image, the edge contour of the object in the internal image of the mold of the vulcanization equipment at each time point is marked by an edge detection algorithm, and the texture features of the object are obtained through a grayscale co-occurrence matrix, a machine learning classifier is trained based on historical foreign body images and normal image samples, the edge contour and texture features of the extracted object are input into the machine learning classifier as input feature vectors, and the output is whether there is a foreign body, and if there is a foreign body, it is recorded.

[0057] Denoising and converting images into grayscale images can help simplify the subsequent image processing process, reduce unnecessary information interference, highlight key features, and use edge detection algorithms to mark object edge contours and grayscale co-occurrence matrices to obtain texture features. This is to extract object features in images from different angles, laying the foundation for accurate identification of foreign objects. Machine learning classifiers are trained based on historical images and feature vectors are input for foreign object judgment. The powerful classification capabilities of machine learning are used to achieve automated foreign object detection.

[0058] During the operation of the vulcanization equipment, electromagnetic signals are continuously collected at a set frequency through the electromagnetic induction coil, and a compensation factor is introduced to correct the electromagnetic signal strength. The compensated electromagnetic signal strength is recorded as each electromagnetic signal, and each electromagnetic signal is filtered to extract characteristic parameters related to metal foreign matter. The characteristic parameters of each electromagnetic signal are compared with a preset detection threshold. If the characteristic parameters of an electromagnetic signal exceed the preset detection threshold, it is determined that there is a metal foreign matter when the electromagnetic signal is collected, and it is recorded. The electromagnetic signal is collected by the electromagnetic induction coil, and the characteristic that the metal foreign matter will affect the electromagnetic signal is utilized, which provides an effective physical means for detecting metal foreign matter.

[0059] It should be noted that the characteristic parameters of the electromagnetic signal include the change in amplitude of the electromagnetic signal, the frequency offset of the electromagnetic signal, and the change in phase of the electromagnetic signal.

[0060] Regarding the amplitude of the electromagnetic signal, when there is a metal foreign body, the amplitude of the electromagnetic signal collected by the electromagnetic induction coil may change due to the interference of the metal on the electromagnetic field.

[0061] Regarding the frequency deviation of electromagnetic signals, when a metal foreign body approaches, according to the principle of electromagnetic induction, the eddy currents in the metal will generate a reverse magnetic field. This reverse magnetic field will affect the change of the original magnetic field, thereby causing the frequency of the electromagnetic signal to shift.

[0062] Regarding the phase change of electromagnetic signals, normal electromagnetic signals have their own specific phase relationship. When there is no interference from metal foreign objects, the phase changes according to the set rules. When metal foreign objects appear, the phase of the electromagnetic signal will change due to its influence on the electromagnetic field.

[0063] An ultrasonic probe is installed inside the vulcanization equipment. During the operation of the vulcanization equipment, ultrasonic waves are emitted at a set frequency, and the duration of each ultrasonic wave from emission to reception of reflected waves is recorded. A normal time range for ultrasonic wave emission to reception of reflection is set, and the duration of each ultrasonic wave from emission to reception of reflected waves is put into the range for comparison. If the duration of an ultrasonic wave from emission to reception of reflected waves is not within the normal time range for ultrasonic wave emission to reception of reflection, it is determined that there is a foreign body and the foreign body is recorded. The ultrasonic probe emits and receives ultrasonic waves, and utilizes the principle that the duration of the reflected wave changes when ultrasonic waves encounter foreign bodies to detect foreign bodies. There is no need to disassemble the vulcanization equipment or invade the internal structure, and the normal operation of the equipment will not be interfered with.

[0064] The foreign object deduplication module is used to formulate foreign object matching rules for foreign object deduplication.

[0065] See also Figure 2 As shown, the specific operation method of the foreign object deduplication module is: obtain each foreign object record, extract the time point when each foreign object is detected, record it as each foreign object detection time point, divide the time period according to the set time length, and filter out the foreign object records in the same time period according to each foreign object detection time point, and assign a set time weight to them; through the analysis of the time relationship, it is possible to avoid misjudging the same foreign object detected multiple times as multiple different foreign objects, thereby reducing the possibility of misjudgment.

[0066] Any corner of the internal detection area of ​​the vulcanizing equipment is taken as the coordinate origin, and a three-dimensional coordinate system is established according to the right-hand rule. The x-axis is along the length direction of the equipment, the y-axis is along the width direction, and the z-axis is along the height direction. The internal detection area of ​​the vulcanizing equipment is gridded and divided into sub-areas, and the coordinate range of each sub-area is obtained. The foreign matter detected in each foreign matter record is substituted into the three-dimensional coordinate system to obtain the coordinates of each foreign matter. Based on the coordinate range of each sub-area, the foreign matter located in the same sub-area is screened out, and the set position weight is assigned to each sub-area. Establishing a three-dimensional coordinate system and gridding the internal detection area of ​​the vulcanizing equipment can accurately locate the position of the foreign matter inside the equipment, and the coordinates of the foreign matter are compared with the coordinate range of each sub-area to determine the sub-area where the foreign matter is located.

[0067] By taking the weighted sum of the time weight and position weight of each foreign object, the comprehensive similarity of each foreign object is obtained, and a comprehensive similarity threshold is set. The comprehensive similarity of each foreign object is compared with it respectively, and the foreign objects whose comprehensive similarity is greater than or equal to the comprehensive similarity threshold are screened out, and the foreign object records corresponding to each foreign object are determined to be the detection records of the same foreign object, and the foreign object records are deduplicated; by setting the comprehensive similarity threshold and performing comparison, it is possible to accurately determine which foreign object records may be multiple detection records of the same foreign object, deduplicate the foreign object records, remove duplicate records, and obtain more accurate foreign object detection results.

[0068] The foreign body tracing module is used to screen similar foreign body detection records through similarity analysis and output foreign body tracing results by mining association rules.

[0069] The specific analysis method of the similarity analysis is: record the deduplicated foreign body records as foreign body detection records, upload them to the management database, extract the time points when the foreign body is detected in the foreign body detection records and the historical foreign body detection records stored in the management database, divide the time point when the foreign body is detected into two parts: date and time, and after removing the date, make a difference in time to obtain the foreign body detection time difference between the foreign body detection record and each historical foreign body detection record; quantify the time factor and focus on the time of different detection events in a day, which can highlight the correlation of detection time, analyze the temporal proximity between the current foreign body detection and the historical detection, and help discover the pattern of foreign body occurrence, such as whether foreign bodies appear more frequently in a specific time period, so as to adjust the production process or equipment maintenance cycle.

[0070] The coordinates of the foreign objects detected in the foreign object detection records and each historical foreign object detection record stored in the management database are extracted, and the position difference of the foreign objects corresponding to the foreign object detection record and each historical foreign object detection record is obtained by subtraction. Understanding the differences in the spatial positions of foreign objects can determine whether foreign objects repeatedly appear in specific areas within the equipment, which helps to determine whether there are fault points or weak links in the equipment that are prone to foreign objects, so as to conduct targeted equipment inspections and improvements.

[0071] The foreign object detection time difference and position difference between the foreign object detection record and each historical foreign object detection record are recorded as , Indicates The number of the historical foreign body detection record, , Represents the number of historical foreign body detection records, through the formula Get the similarity between the foreign body detection record and each historical foreign body detection record ,in Respectively represent the preset reference values ​​of time difference and position difference, Represents the weight factor of the preset time difference and position difference; the similarity calculation of comprehensive time and space factors can more accurately determine whether the current foreign body detection situation is similar to the historical situation. For example, if the similarity is high, it may mean that the cause of the current foreign body is the same as the historical situation, which helps to quickly locate the root cause of the problem and take effective countermeasures.

[0072] It should be noted that, in a specific embodiment, It can be set to 0.6. It can be set to 0.4. When the time difference between the foreign object detection record and the historical foreign object detection record is small, it means that there is a continuous pollution source or sudden problem in the production link at the same time in history. If similar foreign objects are detected multiple times, it may be that a certain equipment component is suddenly damaged and continuously produces debris and other foreign objects. This is very important for timely positioning and solving problems. In some relatively scattered scenarios with strong independence of each part, the weight of the position difference may be smaller, and the correlation of the position difference to the source of foreign objects may not be as strong as in a tightly arranged workshop. Therefore, the weight corresponding to the time difference is higher.

[0073] It should be noted that time difference and position difference are two important factors in the similarity between foreign body detection records and historical foreign body detection records. To detect foreign matter, record the degree to which the time difference deviates from the reference value. The degree of deviation of the position difference from the reference value is recorded for foreign body detection. When the time difference is close to the reference value of the set time difference, the function value approaches the reference value of the time difference, indicating a high similarity. When the time difference is too different from the reference value of the set time difference, the function value approaches 0, indicating a low similarity. The preset reference value of the time difference and the position difference It is set manually at the beginning of system operation. Hours (i.e., time intervals within 1 hour are considered to have a higher similarity), monitoring points (i.e., the position interval is considered to be highly similar within two monitoring points).

[0074] By collecting multiple sets of specific numerical data of foreign body detection time difference and position difference corresponding to foreign body detection records and each historical foreign body detection record, and by comparing the similarity between foreign body detection records and each historical foreign body detection record The calculation formula is used to evaluate the similarity between the target foreign body detection record and each historical foreign body detection record. A feasible simulation process assumes that the similarity threshold is set to 0.8 and the time difference weight factor is is 0.6, the position difference weight factor When θ is 0.4, the simulation results can be obtained. Please refer to Table 1 for details, which lists some representative data.

[0075] Table 1. Foreign object detection time difference, position difference and calculation results corresponding to some collected foreign object detection records and various historical foreign object detection records

[0076] Through the above simulation calculation, the similarity of historical record 2 is greater than the threshold, while the similarities of other historical records are less than the threshold, that is, the current foreign body detection situation is judged to be highly similar to historical record 2, and it is inferred that the current foreign body generation cause may be the same as the situation corresponding to historical record 2. Therefore, the problem handling measures corresponding to historical record 2 can be quickly reviewed, and similar methods can be adopted to solve the current foreign body problem, thereby improving the efficiency of problem solving.

[0077] The specific operation method of the foreign body tracing module is as follows: setting a similarity threshold, screening out historical foreign body detection records whose similarity with the foreign body detection record is greater than the similarity threshold, recording them as similar foreign body detection records, using the association rule algorithm in data mining, treating the foreign body detection record and the information in the similar foreign body detection records as items in the transaction, and outputting the foreign body tracing result by mining the association rules; the association rule algorithm can mine the connection between information that may be overlooked, for example, the potential connection between different equipment parameters, production links, raw materials, etc. and the generation of foreign matter, which helps to find the root cause of the generation of foreign matter.

[0078] It should be noted that association rule mining calculates support and confidence to find combinations of items that meet certain conditions and form association rules.

[0079] The support refers to the frequency of an item set appearing in all transactions. , support For example, among 100 foreign body detection records, foreign body A and foreign body B were detected at the same time in 20 cases. Then the item set The support level is .

[0080] Confidence measures the confidence in the set of items In the transaction, the project set is also included The probability of the rule , confidence For example, if there are 30 records containing foreign body A, and 20 records containing foreign body B, then the rule The confidence level is .

[0081] In the foreign body traceability scenario, the information in the foreign body detection record and each similar foreign body detection record is regarded as the items in the transaction. For example, the foreign body detection record may contain information such as the foreign body type (such as metal, plastic, hair, etc.), detection location (such as different links of the production line), and detection time. This information is organized into a transaction database. Each transaction represents a foreign body detection record. Then, according to actual needs and data characteristics, the minimum support and minimum confidence thresholds are set. Only rules whose support and confidence are greater than or equal to the corresponding thresholds will be retained. Please refer to Table 2 for details. Some representative data are listed in Table 2.

[0082] Table 2. Some of the collected foreign body detection records and similar foreign body detection records

[0083] By using the association rule algorithm to perform data mining, setting the minimum support to 0.4 and the minimum confidence to 0.6, the following association rules may be obtained after calculation: "Metal, production line link 1", support to 0.6, confidence to 0.75, "Plastic, production line link 2", support to 0.6, confidence to 0.75, "Hair, metal or plastic appears at the same time", support to 0.4, confidence to 1. Based on these association rules, it is judged that metal foreign matter may mainly come from production line link 1, plastic foreign matter may mainly come from production line link 2, and the appearance of hair foreign matter may be related to the introduction of metal or plastic foreign matter. Further inspection is needed for the processes or raw materials that may introduce these foreign matter at the same time.

[0084] Management database, used to store various historical foreign body detection records.

[0085] This system constructs the detection interference index of the vulcanization equipment through the environmental interference parameters in the vulcanization chamber and the equipment's own interference parameters, calculates the interference compensation factor, uses the multimodal detection method combined with the interference compensation factor to detect foreign matter, and removes foreign matter duplication, thereby improving the accuracy and comprehensiveness of foreign matter detection. It screens similar foreign matter detection records through similarity analysis, and uses mining association rules to output foreign matter tracing results, which helps to determine the distribution and source of foreign matter in the vulcanization equipment.

[0086] Although the embodiments of the present invention have been shown and described above, it is to be understood that the above embodiments are exemplary and are not to be construed as limitations on the present invention. A person skilled in the art may make changes, modifications, substitutions and variations to the above embodiments within the scope of the present invention and they are still covered by the protection scope of the present invention.

Claims

1. An anti-foreign matter alarm system based on rubber floor vulcanization equipment, characterized in that: The system specifically includes the following modules: An interference parameter acquisition module is used to obtain environmental interference parameters in the vulcanization chamber and interference parameters of the equipment itself; The interference coefficient building module is used to build the detection interference index of the vulcanization equipment through the environmental interference parameters in the vulcanization chamber and the equipment's own interference parameters, and calculate the interference compensation factor; A foreign body detection module for detecting foreign bodies using a multimodal detection method combined with an interference compensation factor; The foreign object deduplication module is used to formulate foreign object matching rules for foreign object deduplication; The foreign body tracing module is used to screen similar foreign body detection records through similarity analysis and output foreign body tracing results by mining association rules; Management database, used to store various historical foreign body detection records.

2. According to claim 1, a foreign body alarm system based on rubber floor vulcanization equipment is characterized in that: The environmental interference parameters in the vulcanization chamber include environmental temperature, environmental humidity, and electromagnetic interference intensity, and the interference parameters of the equipment itself include electromagnetic interference degree and vibration interference degree.

3. The anti-foreign matter alarm system based on rubber floor vulcanization equipment according to claim 2 is characterized in that: The specific analysis method of the environmental interference parameters in the vulcanization chamber is: Get the ambient temperature, ambient humidity, and electromagnetic interference intensity in the vulcanization chamber, and record them as , set the standard temperature range for normal operation of the vulcanization equipment, and record the upper and lower temperature limits corresponding to the standard temperature range for normal operation of the vulcanization equipment as , calculate the temperature disturbance in the curing chamber According to the calculation method of the temperature interference degree in the vulcanization chamber, the humidity interference degree in the vulcanization chamber is obtained respectively. , the degree of electromagnetic interference in the vulcanization chamber , according to the preset weights, and through weighted calculation, the environmental interference coefficient in the vulcanization chamber is obtained, which is recorded as .

4. The anti-foreign matter alarm system based on rubber floor vulcanization equipment according to claim 3 is characterized in that: The specific analysis method of the device's own interference parameters is as follows: According to the preset equal time interval principle, several monitoring time points are selected, the vulcanizing equipment is operated, the electromagnetic intensity generated by the vulcanizing equipment at each monitoring time point is obtained, and the electromagnetic intensity is compared with the preset electromagnetic tolerance intensity to obtain the electromagnetic interference degree of the vulcanizing equipment; The vibration times of the vulcanizing equipment within the set time are recorded, and the amplitude of each vibration is obtained, which is recorded as , Indicates The number of vibrations, The vibration frequency of the vulcanizing equipment is calculated by the vibration times and setting duration of the vulcanizing equipment, which is recorded as , substituting it into the formula Get the vibration disturbance degree of the vulcanizing equipment ,in Indicates the preset vibration frequency threshold, Indicates the preset vibration amplitude threshold, Respectively represent the weight factors of the vibration frequency and vibration amplitude of the vulcanizing equipment; According to the preset, weights are assigned to the electromagnetic interference degree and vibration interference degree of the vulcanizing equipment, and the internal interference coefficient of the vulcanizing equipment is obtained by weighted calculation, which is recorded as .

5. The anti-foreign matter alarm system based on rubber floor vulcanization equipment according to claim 4 is characterized in that: The specific operation method of the interference coefficient construction module is: Reading the environmental interference factor in the curing chamber , Internal interference coefficient of vulcanizing equipment , substituting it into the formula Get the detection interference index of the vulcanization equipment , Respectively represent the weight factors of the preset environmental interference coefficient and internal interference coefficient, The natural constant is represented, an interference compensation model is constructed, and the detection interference index of the vulcanization equipment is substituted into the interference compensation model. Based on the least squares method, the interference compensation factor is obtained.

6. The anti-foreign matter alarm system based on rubber floor vulcanization equipment according to claim 1 is characterized in that: The multimodal detection method includes image detection, electromagnetic signal detection, and ultrasonic detection.

7. The anti-foreign matter alarm system based on the rubber floor vulcanization equipment according to claim 6 is characterized in that: The specific operation method of the foreign body detection module is as follows: A high-definition industrial camera is installed in the visible area inside the mold of the vulcanizing equipment, and each sampling time point is set during the working process of the vulcanizing equipment according to the preset equal time interval principle, and the internal image of the mold of the vulcanizing equipment at each time point is collected and the interference compensation factor is introduced for adjustment, and the adjusted internal image of the mold of the vulcanizing equipment at each time point is denoised and converted into a grayscale image, and the edge contour of the object in the internal image of the mold of the vulcanizing equipment at each time point is marked by an edge detection algorithm, and the texture features of the object are obtained through a grayscale co-occurrence matrix, and a machine learning classifier is trained based on historical foreign body images and normal image samples, and the extracted edge contour and texture features of the object are input as input feature vectors into the machine learning classifier, and the output is whether there is a foreign body, and if there is a foreign body, it is recorded; During the operation of the vulcanization equipment, the electromagnetic signal is continuously collected at a set frequency through the electromagnetic induction coil, and the compensation factor is introduced to correct the electromagnetic signal strength. The electromagnetic signal strength after compensation is recorded as each electromagnetic signal, and each electromagnetic signal is filtered to extract the characteristic parameters related to the metal foreign matter. The characteristic parameters of each electromagnetic signal are compared with the preset detection threshold. If the characteristic parameters of an electromagnetic signal exceed the preset detection threshold, it is determined that there is a metal foreign matter when the electromagnetic signal is collected, and it is recorded; An ultrasonic probe is installed inside the vulcanization equipment. During the operation of the vulcanization equipment, ultrasonic waves are emitted at the set frequency, and the duration of each ultrasonic wave from emission to reception of the reflected wave is recorded. The normal time range from ultrasonic emission to reception of reflection is set, and the duration of each ultrasonic wave from emission to reception of the reflected wave is put into the range for comparison. If the duration from emission to reception of the reflected wave of a certain ultrasonic wave is not within the normal time range from ultrasonic emission to reception of reflection, it is determined that there is a foreign object and it is recorded.

8. The anti-foreign matter alarm system based on rubber floor vulcanization equipment according to claim 7 is characterized in that: The specific operation method of the foreign body deduplication module is as follows: Obtain each foreign object record, extract the time point when each foreign object is detected, record it as each foreign object detection time point, divide the time period according to the set time length, filter out each foreign object record in the same time period according to each foreign object detection time point, and assign a set time weight to it; Take any corner of the internal detection area of ​​the vulcanizing equipment as the origin of the coordinates, establish a three-dimensional coordinate system according to the right-hand rule, with the x-axis along the length direction of the equipment, the y-axis along the width direction, and the z-axis along the height direction. Divide the internal detection area of ​​the vulcanizing equipment into sub-areas by gridding, obtain the coordinate range of each sub-area, substitute the foreign objects detected in each foreign object record into the three-dimensional coordinate system, obtain the coordinates of each foreign object, screen out the foreign objects located in the same sub-area based on the coordinate range of each sub-area, and assign the set position weight to each sub-area; By taking the weighted sum of the time weight and position weight of each foreign object, the comprehensive similarity of each foreign object is obtained, and a comprehensive similarity threshold is set. The comprehensive similarities of each foreign object are compared with them respectively, and the foreign objects whose comprehensive similarity is greater than or equal to the comprehensive similarity threshold are screened out. The foreign object records corresponding to each foreign object are determined to be the detection records of the same foreign object, and the foreign object records are deduplicated.

9. The anti-foreign matter alarm system based on rubber floor vulcanization equipment according to claim 1 is characterized by: The specific analysis method of the similarity analysis is: The deduplicated foreign body records are recorded as foreign body detection records, uploaded to the management database, and the time points at which foreign bodies are detected in the foreign body detection records and each historical foreign body detection record stored in the management database are extracted respectively, and the time point at which foreign bodies are detected is divided into two parts: date and time. After removing the date, the time is subtracted to obtain the foreign body detection time difference corresponding to the foreign body detection record and each historical foreign body detection record; Extract the coordinates of the foreign objects detected in the foreign object detection record and each historical foreign object detection record stored in the management database, and also obtain the position difference of the foreign objects corresponding to the foreign object detection record and each historical foreign object detection record by subtraction; The foreign object detection time difference and position difference between the foreign object detection record and each historical foreign object detection record are recorded as , Indicates The number of the historical foreign body detection record, , Represents the number of historical foreign body detection records, through the formula Get the similarity between the foreign body detection record and each historical foreign body detection record ,in Respectively represent the preset reference values ​​of time difference and position difference, Represents the weight factor of the preset time difference and position difference.

10. The anti-foreign matter alarm system based on rubber floor vulcanization equipment according to claim 9 is characterized in that: The specific operation method of the foreign body tracing module is as follows: A similarity threshold is set to filter out historical foreign object detection records whose similarity with foreign object detection records is greater than the similarity threshold, and record them as similar foreign object detection records. By using the association rule algorithm in data mining, the information in the foreign object detection record and the similar foreign object detection records is regarded as items in the transaction, and the foreign object tracing results are output by mining association rules.

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