Rubber cooling and forming all-in-one machine and control method thereof

Abstract

The invention discloses a rubber cooling and forming all-in-one machine and a control method thereof, and belongs to the technical field of rubber production control, and the rubber cooling and forming all-in-one machine comprises a forming module used for forming a rubber material; the multi-stage cooling module is used for reducing the temperature of the formed rubber product; the acquisition module is used for acquiring relevant parameter information in the cooling process of the rubber product; the analysis module is used for analyzing according to the acquired relevant parameter information so as to judge whether the cooling module works abnormally and judge whether the cooling temperature of the cooling module is abnormal; and the decision module executes corresponding decisions according to the abnormal conditions. When each cooling section works normally, the judgment coefficient can be analyzed and generated according to temperature change and hardness change conditions, whether the set cooling temperature is normal or not is judged according to the size of the judgment coefficient, and once abnormity occurs, the cooling temperature can be dynamically adjusted in time, so that the quality of a rubber product in the whole cooling process is guaranteed.

Description

Technical Field

[0001] The invention belongs to the technical field of rubber production control, and in particular relates to a rubber cooling and molding all-in-one machine and a control method thereof. Background Art

[0002] Rubber products are widely used in many fields such as automobiles, aerospace, construction, and medical treatment. The demand for rubber products is increasing with the development of the global economy and the advancement of industrialization. Rubber materials are favored for their excellent physical properties (such as high elasticity, wear resistance, corrosion resistance, etc.). The rubber cooling and molding machine is a device that integrates cooling and molding functions. It is mainly used in the production process of rubber products to ensure that the rubber material achieves ideal physical properties and dimensional stability during the processing.

[0003] When existing rubber cooling and molding integrated machines cool molded rubber products, they usually set the cooling temperature for each cooling section in advance to cool and solidify the products. However, the cooling temperature is a fixed temperature set manually. During cooling, the rubber products are affected by external factors, and the temperature and actual temperature will fluctuate. In this way, management personnel cannot detect or dynamically adjust the temperature in time, which affects the quality of subsequent products. Summary of the invention

[0004] The object of the present invention is to provide a rubber cooling and molding integrated machine and a control method thereof, so as to solve the problems faced in the above-mentioned background technology.

[0005] The purpose of the present invention can be achieved by the following technical solutions: A rubber cooling and molding integrated machine, the rubber cooling and molding integrated machine comprising: A molding module, which is used to fill and press the rubber material in the mold to form a desired shape; A multi-stage cooling module, wherein a plurality of cooling sections are arranged in the multi-stage cooling module for gradually reducing the temperature of the rubber product; A collection module, the collection module is used to obtain relevant parameter information of the multi-stage cooling module during the cooling process, the relevant parameter information includes hardness information and temperature information of the rubber product; An analysis module, the analysis module is used to analyze the acquired relevant parameter information and generate abnormal values ​​and judgment coefficients respectively; at the same time, the analysis module also determines whether the cooling module is abnormal according to the abnormal value, and determines whether the cooling temperature of the cooling module is abnormal according to the judgment coefficient, and generates corresponding alarm instructions and adjustment instructions respectively; A decision module, wherein an alarm unit and an adjustment unit are provided in the decision module, wherein the alarm unit issues an alarm according to a generated alarm instruction, and the adjustment unit adjusts the cooling temperature of the cooling module according to the generated adjustment instruction.

[0006] Furthermore, the method for the analysis module to generate an alarm instruction is: Set the time and temperature of each cooling section, and obtain the hardness value of the rubber product in each cooling section And the temperature value of rubber products , and formulate the hardness value of each cooling section with time curve function And the temperature value changes with time curve function ; So through the formula Hardness Abnormality Index ; By formula Temperature Anomaly Index ; By formula Get outliers ; when When the cooling section of the cooling module is judged to be abnormal, an alarm instruction is generated; in, is the start time of the cooling section, is the end time of the cooling section, It is the preset standard hardness value changing curve function over time. It is the curve function of the preset standard temperature value changing with time. is the abnormal index corresponding to temperature hardness, is the preset abnormal threshold, , as well as are the preset coefficients for each.

[0007] Furthermore, the temperature hardness corresponds to an abnormal index The acquisition method is: By formula Obtain the abnormal index corresponding to temperature hardness ; in, , The preset temperature hardness corresponds to the standard function. It is the preset standard reference value.

[0008] Furthermore, the method for the analysis module to generate the adjustment instruction is: When no alarm command is generated, the Set an adjustment point and Get the hardness value of rubber products And the temperature value of rubber products , By formula Determine the coefficient ; The obtained judgment coefficient The preset judgment coefficient threshold interval To compare: when When the cooling temperature of the cooling module is abnormal, an adjustment instruction is generated; in, as well as Preset coefficients for each, For the interval period The start time of Interval period The end time of as well as are respectively the preset judgment coefficient thresholds.

[0009] Further, the adjustment instruction includes a lowering instruction and an raising instruction; when When , a lowering instruction is generated, when When , a height adjustment instruction is generated.

[0010] Furthermore, the alarm unit works as follows: When an alarm instruction is generated, a voice alarm is generated and corresponding alarm information is generated and sent to the corresponding terminal platform, and the multi-stage cooling module is stopped from working.

[0011] Furthermore, the adjustment unit works as follows: When a reduction instruction is generated, the formula The cooling temperature of the cooling section is adjusted to ; When generating a height adjustment instruction, the formula The cooling temperature of the cooling section is adjusted to ; in, The cooling temperature set for the current cooling zone, is the temperature conversion coefficient, as well as is the preset coefficient, is the volume of the rubber product, is the volume comparison value, is the area of ​​the rubber product, is the area comparison value.

[0012] A control method for a rubber cooling and molding integrated machine, the control method comprising: Step 1: Put the rubber material into the molding module for filling and pressing, and then press it into the desired shape through the mold; Step 2: placing the molded rubber product into a multi-stage cooling module for cooling and solidification, and obtaining hardness information and temperature information of the rubber product in each cooling section; Step 3: Calculate the abnormal value according to the hardness information and the temperature information, and judge whether the working condition of the cooling section is abnormal according to the size of the abnormal value; Step 4: When the cooling module is working normally, judging whether the cooling temperature of the cooling module is abnormal according to the calculated judgment coefficient; Step 5: When an abnormality occurs, an alarm is issued or the cooling temperature is adjusted.

[0013] Beneficial effects of the present invention: When cooling and solidifying the molded rubber product, the present invention obtains the hardness information and temperature information of the rubber product in the cooling process in real time, compares and analyzes the temperature change, hardness change and corresponding changes of temperature and hardness of the rubber product with the set standard change, so as to generate abnormal values, and judges whether the operation of each cooling section of the cooling module is abnormal according to the abnormal values. In this way, the working status of each cooling section can be understood more accurately, and once an abnormality occurs, an alarm can be processed in time to reduce the occurrence of product abnormalities.

[0014] When each cooling section of the present invention is working normally, a judgment coefficient can be analyzed and generated according to the temperature change and hardness change, and whether the set cooling temperature is normal can be judged according to the size of the judgment coefficient. Once an abnormality occurs, the cooling temperature can be dynamically adjusted in time to ensure the quality of the rubber product in the entire cooling process.

[0015] Of course, any product implementing the present invention does not necessarily need to achieve all of the advantages described above at the same time. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] 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.

[0017] Figure 1 This is a schematic diagram of the partial module structure of the rubber cooling and molding all-in-one machine provided by the present invention. DETAILED DESCRIPTION

[0018] 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.

[0019] In one embodiment, a rubber cooling and molding machine is disclosed, such as Figure 1 As shown, the rubber cooling and molding integrated machine mainly includes molding module, multi-stage cooling module, acquisition module, analysis module and decision module, among which: A molding module is used to fill and press the rubber material in the mold to form a desired shape; A multi-stage cooling module, in which a plurality of cooling sections are arranged, is used to gradually reduce the temperature of the rubber product; The acquisition module is used to obtain relevant parameter information of the multi-stage cooling module during the cooling process, and the relevant parameter information includes hardness information and temperature information of the rubber product; The analysis module is used to analyze the relevant parameter information obtained and generate abnormal values ​​and judgment coefficients respectively; at the same time, the analysis module also determines whether the cooling module is abnormal according to the size of the abnormal value, and determines whether the cooling temperature of the cooling module is abnormal according to the size of the judgment coefficient, and generates corresponding alarm instructions and adjustment instructions respectively; The decision module includes an alarm unit and an adjustment unit. The alarm unit issues an alarm according to the generated alarm instruction, and the adjustment unit adjusts the cooling temperature of the cooling module according to the generated adjustment instruction.

[0020] Through the above technical scheme, when cooling and solidifying the molded rubber product, the present application obtains the hardness information and temperature information of the rubber product in real time during the cooling process, and compares and analyzes the temperature change, hardness change and corresponding changes in temperature and hardness of the rubber product with the set standard change, thereby generating abnormal values, and judging whether there is any abnormality in the operation of each cooling section of the cooling module according to the abnormal value. In this way, the working conditions of each cooling section can be understood more accurately, and once an abnormality occurs, an alarm can be processed in time to reduce the occurrence of product abnormalities; at the same time, when each cooling section is working normally, a judgment coefficient can be analyzed and generated according to the temperature change and hardness change, and whether the set cooling temperature is normal can be judged according to the size of the judgment coefficient. Once an abnormality occurs, the cooling temperature can be adjusted dynamically in time to ensure the quality of the rubber product during the entire cooling process.

[0021] The method for the analysis module to generate an alarm instruction is to set the time and temperature of each cooling section and obtain the hardness value of the rubber product in each cooling section. And the temperature value of rubber products , and formulate the hardness value of each cooling section with time curve function And the temperature value changes with time curve function ; So through the formula Hardness Abnormality Index ; By formula Temperature Anomaly Index ; By formula Get outliers ; when When the cooling section of the cooling module is judged to be abnormal, an alarm instruction is generated; When an alarm instruction is generated, a voice alarm is generated and the corresponding alarm information is generated and sent to the corresponding terminal platform, and the multi-stage cooling module is stopped from working; in, is the start time of the cooling section, is the end time of the cooling section, It is the preset standard hardness value changing curve function over time. It is the curve function of the preset standard temperature value changing with time. is the abnormal index corresponding to temperature hardness, is the preset abnormal threshold, , as well as They are the preset coefficients respectively, and the temperature hardness corresponds to the abnormal index The acquisition method is: By formula Obtain the abnormal index corresponding to temperature hardness ; in, , The preset temperature hardness corresponds to the standard function. It is the preset standard reference value.

[0022] The above technical solution provides a specific method for the analysis module to generate an alarm instruction. First, the time and temperature of each cooling section are set, and the hardness value of the rubber product in each cooling section is obtained. And the temperature value of rubber products , and formulate the hardness value of each cooling section with time curve function And the temperature value changes with time curve function , and then by the formula Hardness Abnormality Index , through the formula Temperature Anomaly Index , through the formula Obtain the abnormal index corresponding to temperature hardness , and then through the formula Get outliers , determine whether to generate an alarm instruction based on the size of the abnormal value; formula It indicates the difference between the hardness change obtained and the standard hardness change. The larger the value, the greater the possibility of abnormality. The formula It indicates the difference between the obtained temperature change and the standard temperature change. The larger the value, the greater the possibility of abnormality. The formula middle It reflects the ratio of the actual temperature change relative hardness change obtained during the time period to the standard temperature change relative hardness change, and then through the formula The difference between the two is obtained. Obviously, the larger the difference, the greater the possibility of abnormality. Therefore, the formula is finally used Comprehensive analysis of outliers , after comparing the outliers with the preset anomaly threshold For comparison, when When the cooling section of the cooling module is judged to be abnormal, an alarm instruction is generated. In this way, the working conditions of each cooling section can be more accurately monitored according to the temperature change, hardness change and corresponding changes of temperature and hardness of the rubber product. Once an abnormality occurs, an alarm can be processed in time, which can greatly reduce the occurrence of product abnormalities and ensure the quality of the entire production process.

[0023] It should be noted that the preset standard hardness value changes with time curve function , the preset standard temperature value changes with time curve function , preset temperature hardness corresponding to standard function Can be formulated based on historical data, and the preset abnormal threshold , preset standard reference value , their respective preset coefficients , as well as All of these can be determined based on historical data and experience, so I won’t go into details.

[0024] The method for the analysis module to generate adjustment instructions is: when no alarm instruction is generated, in each cooling section, every cycle Set an adjustment point and Get the hardness value of rubber products And the temperature value of rubber products , By formula Determine the coefficient ; The obtained judgment coefficient The preset judgment coefficient threshold interval To compare: when When the cooling temperature of the cooling module is abnormal, an adjustment instruction is generated; in, as well as Preset coefficients for each, Interval period The start time of Interval period The end time of as well as are respectively the preset judgment coefficient thresholds.

[0025] The above technical solution provides a specific method for the analysis module to generate adjustment instructions. First, when no alarm instruction is generated, each cooling section is cycled. Set an adjustment point and Get the hardness value of rubber products And the temperature value of rubber products , and then through the formula Determine the coefficient , and finally the obtained judgment coefficient The preset judgment coefficient threshold interval Compare: When When , it is judged that the cooling temperature of the cooling module is abnormal, and an adjustment instruction is generated; Formula It shows the difference between the hardness change and the standard hardness. It shows the difference between the temperature change and the standard temperature, and a judgment coefficient threshold interval is formulated based on historical data. , when the judgment coefficient is obtained Falling into the judgment coefficient threshold interval If the temperature is abnormal, it means that the cooling temperature is normal and no adjustment is required. Otherwise, it is judged that the cooling temperature of the cooling module is abnormal, and an adjustment instruction is generated. In this way, the temperature change and hardness change during the cycle are used to judge whether the cooling temperature is normal, so as to facilitate the subsequent dynamic adjustment of the cooling temperature.

[0026] It should be noted that the preset coefficient as well as Determine the interval period based on historical data and experience The duration can be determined manually based on actual conditions.

[0027] Adjustment instructions include lowering instructions and raising instructions: When , a lowering instruction is generated, when When the command to increase is generated, when the command to decrease is generated, the formula The cooling temperature of the cooling section is adjusted to ; When generating a height adjustment instruction, the formula The cooling temperature of the cooling section is adjusted to ; in, The cooling temperature set for the current cooling zone, is the temperature conversion coefficient, as well as is the preset coefficient, is the volume of the rubber product, is the volume comparison value, is the area of ​​the rubber product, is the area comparison value.

[0028] The above technical solution provides a specific method for the adjustment unit to adjust the cooling temperature. First, when an adjustment instruction is generated, including a lowering instruction and an increasing instruction, when , it means that the hardness at this time is lower than the normal hardness, or the temperature at this time is higher than the normal temperature, then it is necessary to continue to lower the temperature to restore its original hardness and temperature, then generate a lowering instruction, and pass the formula The cooling temperature of the cooling section is adjusted to It can be seen that when the judgment coefficient is larger, the temperature needs to be lowered more. Similarly, the temperature reduction is also related to the volume and area of ​​the rubber product. Generally speaking, for rubber products with small volume and area, heat can be dissipated from the surface faster, so the adjusted temperature is relatively small. Rubber products with large volume and area have slow cooling speed, so more temperatures need to be adjusted. Therefore, taking the volume and area of ​​the rubber product into consideration can adjust the cooling temperature more accurately. Similarly, when , it means that the temperature of the rubber product is lower than the normal temperature, or the hardness is harder than the normal hardness. In this case, the temperature needs to be increased to restore the hardness and temperature of the original stage. Then, an increase instruction is generated and the formula is used. The cooling temperature of the cooling section is adjusted to In this way, multiple adjustment points can be set in the cooling section, and the temperature and hardness changes between the adjustment points can be used to determine whether the temperature set in the cooling section is qualified. If it is unqualified, the temperature of the cooling section can be dynamically adjusted based on the area, volume and judgment results of the rubber product, thereby effectively ensuring the quality of the rubber product throughout the cooling process.

[0029] In the above scheme, the temperature conversion coefficient , preset coefficient as well as , volume comparison value , area comparison value Both can be determined based on historical data and experience.

[0030] A control method for a rubber cooling and molding integrated machine, the control method mainly comprises the following steps: Step 1: Put the rubber material into the molding module for filling and pressing, and then press it into the desired shape through the mold; Step 2: placing the molded rubber product into a multi-stage cooling module for cooling and solidification, and obtaining hardness information and temperature information of the rubber product in each cooling section; Step 3: Calculate the abnormal value according to the hardness information and the temperature information, and judge whether the working condition of the cooling section is abnormal according to the size of the abnormal value; Step 4: When the cooling module is working normally, judging whether the cooling temperature of the cooling module is abnormal according to the calculated judgment coefficient; Step 5: When an abnormality occurs, an alarm is issued or the cooling temperature is adjusted.

[0031] The above contents are merely examples and explanations of the concept of the present invention. The technicians in this technical field may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the concept of the invention or exceed the scope defined by the claims, they should all fall within the protection scope of the present invention.

Claims

1. A rubber cooling and molding machine, characterized in that The rubber cooling and molding integrated machine comprises: A molding module, which is used to fill and press the rubber material in the mold to form a desired shape; A multi-stage cooling module, wherein a plurality of cooling sections are arranged in the multi-stage cooling module for gradually reducing the temperature of the rubber product; A collection module, the collection module is used to obtain relevant parameter information of the multi-stage cooling module during the cooling process, the relevant parameter information includes hardness information and temperature information of the rubber product; An analysis module, the analysis module is used to analyze the acquired relevant parameter information and generate abnormal values ​​and judgment coefficients respectively; at the same time, the analysis module also determines whether the cooling module is abnormal according to the abnormal value, and determines whether the cooling temperature of the cooling module is abnormal according to the judgment coefficient, and generates corresponding alarm instructions and adjustment instructions respectively; A decision module, wherein an alarm unit and an adjustment unit are provided in the decision module, wherein the alarm unit issues an alarm according to a generated alarm instruction, and the adjustment unit adjusts the cooling temperature of the cooling module according to the generated adjustment instruction.

2. The rubber cooling and molding integrated machine according to claim 1, characterized in that: The method for the analysis module to generate an alarm instruction is: Set the time and temperature of each cooling section, and obtain the hardness value of the rubber product in each cooling section And the temperature value of rubber products , and formulate the hardness value of each cooling section with time curve function And the temperature value changes with time curve function ; So through the formula Hardness Abnormality Index ; By formula Temperature Anomaly Index ; By formula Get outliers ; when When the cooling section of the cooling module is judged to be abnormal, an alarm instruction is generated; in, is the start time of the cooling section, is the end time of the cooling section, It is the preset standard hardness value changing curve function over time. It is the curve function of the preset standard temperature value changing with time. is the abnormal index corresponding to temperature hardness, is the preset abnormal threshold, , as well as are the preset coefficients respectively.

3. The rubber cooling and molding integrated machine according to claim 2, characterized in that: The temperature hardness corresponds to the abnormal index The acquisition method is: By formula Obtain the abnormal index corresponding to temperature hardness ; in, , The preset temperature hardness corresponds to the standard function. It is the preset standard reference value.

4. The rubber cooling and molding integrated machine according to claim 2, characterized in that: The method for the analysis module to generate the adjustment instruction is: When no alarm command is generated, the Set an adjustment point and Get the hardness value of rubber products And the temperature value of rubber products , By formula Determine the coefficient ; The obtained judgment coefficient The preset judgment coefficient threshold interval To compare: when When the cooling temperature of the cooling module is abnormal, an adjustment instruction is generated; in, as well as Preset coefficients for each, Interval period The start time of Interval period The end time of as well as are respectively the preset judgment coefficient thresholds.

5. The rubber cooling and molding integrated machine according to claim 4, characterized in that: The adjustment instructions include lowering instructions and raising instructions; when When , a lowering instruction is generated, when When , a height adjustment instruction is generated.

6. The rubber cooling and molding integrated machine according to claim 2, characterized in that: The alarm unit works as follows: When an alarm instruction is generated, a voice alarm is generated and corresponding alarm information is generated and sent to the corresponding terminal platform, and the multi-stage cooling module is stopped from working.

7. The rubber cooling and molding integrated machine according to claim 5, characterized in that: The working method of the adjustment unit is: When a reduction instruction is generated, the formula The cooling temperature of the cooling section is adjusted to ; When generating a height adjustment instruction, the formula The cooling temperature of the cooling section is adjusted to ; in, The cooling temperature set for the current cooling zone, is the temperature conversion coefficient, as well as is the preset coefficient, is the volume of the rubber product, is the volume comparison value, is the area of ​​the rubber product, is the area comparison value.

8. A control method for the rubber cooling and molding integrated machine according to any one of claims 1 to 7, characterized in that: The control method comprises: Step 1: Put the rubber material into the molding module for filling and pressing, and then press it into the desired shape through the mold; Step 2: placing the molded rubber product into a multi-stage cooling module for cooling and solidification, and obtaining hardness information and temperature information of the rubber product in each cooling section; Step 3: Calculate the abnormal value according to the hardness information and the temperature information, and judge whether the working condition of the cooling section is abnormal according to the size of the abnormal value; Step 4: When the cooling module is working normally, judging whether the cooling temperature of the cooling module is abnormal according to the calculated judgment coefficient; Step 5: When an abnormality occurs, an alarm is issued or the cooling temperature is adjusted.

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